diff --git a/sycl/test-e2e/AOT/accelerator.cpp b/sycl/test-e2e/AOT/accelerator.cpp
new file mode 100644
index 0000000000000..602ba415f4f50
--- /dev/null
+++ b/sycl/test-e2e/AOT/accelerator.cpp
@@ -0,0 +1,12 @@
+//=-- accelerator.cpp - compilation for fpga emulator dev using opencl-aot --=//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===---------------------------------------------------------------------===//
+
+// REQUIRES: opencl-aot, accelerator
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_fpga %S/Inputs/aot.cpp -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Assert/Inputs/kernels_in_file2.cpp b/sycl/test-e2e/Assert/Inputs/kernels_in_file2.cpp
new file mode 100644
index 0000000000000..e07fdbb3c5560
--- /dev/null
+++ b/sycl/test-e2e/Assert/Inputs/kernels_in_file2.cpp
@@ -0,0 +1,45 @@
+#include "kernels_in_file2.hpp"
+
+#ifdef DEFINE_NDEBUG_INFILE2
+#define NDEBUG
+#else
+#undef NDEBUG
+#endif
+
+#include <cassert>
+
+using namespace sycl;
+using namespace sycl::access;
+
+int calculus(int X) {
+  assert(X && "this message from calculus");
+  return X * 2;
+}
+
+void check_nil(int value) { assert(value && "this message from file2"); }
+
+static constexpr size_t BUFFER_SIZE = 4;
+
+void enqueueKernel_1_fromFile2(queue *Q) {
+  sycl::range<1> numOfItems{BUFFER_SIZE};
+  sycl::buffer<int, 1> Buf(numOfItems);
+
+  Q->submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class kernel1_from_separate_file>(
+        numOfItems, [=](sycl::id<1> wiID) { check_nil(Acc[wiID]); });
+  });
+}
+
+void enqueueKernel_2_fromFile2(queue *Q) {
+  sycl::range<1> numOfItems{BUFFER_SIZE};
+  sycl::buffer<int, 1> Buf(numOfItems);
+
+  Q->submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class kernel2_from_separate_file>(
+        numOfItems, [=](sycl::id<1> wiID) { check_nil(Acc[wiID]); });
+  });
+}
diff --git a/sycl/test-e2e/Assert/Inputs/kernels_in_file2.hpp b/sycl/test-e2e/Assert/Inputs/kernels_in_file2.hpp
new file mode 100644
index 0000000000000..851207ac66026
--- /dev/null
+++ b/sycl/test-e2e/Assert/Inputs/kernels_in_file2.hpp
@@ -0,0 +1,7 @@
+#include <sycl/sycl.hpp>
+
+SYCL_EXTERNAL int calculus(int X);
+
+void enqueueKernel_1_fromFile2(sycl::queue *Q);
+
+void enqueueKernel_2_fromFile2(sycl::queue *Q);
diff --git a/sycl/test-e2e/Assert/assert_in_kernels.cpp b/sycl/test-e2e/Assert/assert_in_kernels.cpp
new file mode 100644
index 0000000000000..eaf67c0e42cb9
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_kernels.cpp
@@ -0,0 +1,24 @@
+// REQUIRES: linux
+
+// https://github.com/intel/llvm/issues/7634
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.cpu.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.cpu.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.gpu.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.gpu.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.acc.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.acc.txt
+//
+// CHECK-NOT:  One shouldn't see this message
+// CHECK:      {{.*}}assert_in_kernels.hpp:25: void kernelFunc2(int *, int): {{.*}} [{{[0,2]}},0,0], {{.*}} [0,0,0]
+// CHECK-SAME: Assertion `Buf[wiID] == 0 && "from assert statement"` failed.
+// CHECK-NOT:  test aborts earlier, one shouldn't see this message
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_kernels.hpp:25: void kernelFunc2(int *, int): {{.*}} [{{[0,2]}},0,0], {{.*}} [0,0,0]
+// CHECK-ACC: The test ended.
+
+#include "assert_in_kernels.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_kernels.hpp b/sycl/test-e2e/Assert/assert_in_kernels.hpp
new file mode 100644
index 0000000000000..834ddb22da00b
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_kernels.hpp
@@ -0,0 +1,69 @@
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+void kernelFunc1(int *Buf, int wiID) {
+  Buf[wiID] = 9;
+  assert(Buf[wiID] != 0 && "One shouldn't see this message");
+}
+
+void assertTest1(queue &Q, buffer<int, 1> &Buf) {
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class Kernel_1>(
+        Buf.get_range(), [=](sycl::id<1> wiID) { kernelFunc1(&Acc[0], wiID); });
+  });
+}
+
+void kernelFunc2(int *Buf, int wiID) {
+  if (wiID % 2 != 0)
+    Buf[wiID] = 0;
+  assert(Buf[wiID] == 0 && "from assert statement");
+}
+
+void assertTest2(queue &Q, buffer<int, 1> &Buf) {
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class Kernel_2>(
+        Buf.get_range(), [=](sycl::id<1> wiID) { kernelFunc2(&Acc[0], wiID); });
+  });
+}
+
+void kernelFunc3(int *Buf, int wiID) {
+  if (wiID == 0)
+    assert(false && "test aborts earlier, one shouldn't see this message");
+  Buf[wiID] = 9;
+}
+
+void assertTest3(queue &Q, buffer<int, 1> &Buf) {
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class Kernel_3>(
+        Buf.get_range(), [=](sycl::id<1> wiID) { kernelFunc3(&Acc[0], wiID); });
+  });
+}
+
+int main(int Argc, const char *Argv[]) {
+  std::array<int, 4> Vec = {1, 2, 3, 4};
+  sycl::range<1> numOfItems{Vec.size()};
+  sycl::buffer<int, 1> Buf(Vec.data(), numOfItems);
+
+  queue Q;
+  assertTest1(Q, Buf);
+  Q.wait();
+
+  assertTest2(Q, Buf);
+  Q.wait();
+
+  assertTest3(Q, Buf);
+  Q.wait();
+
+  std::cout << "The test ended." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Assert/assert_in_kernels_ndebug.cpp b/sycl/test-e2e/Assert/assert_in_kernels_ndebug.cpp
new file mode 100644
index 0000000000000..4475083ffeb0c
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_kernels_ndebug.cpp
@@ -0,0 +1,9 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DNDEBUG %S/assert_in_kernels.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: One shouldn't see this message
+// CHECK-NOT: from assert statement
+// CHECK-NOT: test aborts earlier, one shouldn't see this message
+// CHECK: The test ended.
diff --git a/sycl/test-e2e/Assert/assert_in_kernels_win.cpp b/sycl/test-e2e/Assert/assert_in_kernels_win.cpp
new file mode 100644
index 0000000000000..8b05ce7a06afe
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_kernels_win.cpp
@@ -0,0 +1,22 @@
+// REQUIRES: windows
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// CHECK-NOT:  One shouldn't see this message
+// FIXME Windows version prints '(null)' instead of '<unknown func>' once in a
+// while for some insane reason.
+// CHECK:      {{.*}}assert_in_kernels.hpp:25: {{<unknown func>|(null)}}: {{.*}} [{{[0,2]}},0,0], {{.*}} [0,0,0]
+// CHECK-SAME: Assertion `Buf[wiID] == 0 && "from assert statement"` failed.
+// CHECK-NOT:  test aborts earlier, one shouldn't see this message
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_kernels.hpp:25: {{<unknown func>|(null)}}: {{.*}} [{{[0,2]}},0,0], {{.*}} [0,0,0]
+// CHECK-ACC: The test ended.
+
+#include "assert_in_kernels.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_multiple_tus.cpp b/sycl/test-e2e/Assert/assert_in_multiple_tus.cpp
new file mode 100644
index 0000000000000..7de9915a505cf
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_multiple_tus.cpp
@@ -0,0 +1,25 @@
+// REQUIRES: linux
+
+// https://github.com/intel/llvm/issues/7634
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple -I %S/Inputs %s %S/Inputs/kernels_in_file2.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.cpu.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.cpu.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.gpu.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.gpu.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.acc.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.acc.txt
+//
+// CUDA uses block/thread vs global/local id for SYCL, also it shows the
+// position of a thread within the block, not the absolute ID.
+// CHECK:      {{.*}}kernels_in_file2.cpp:15: int calculus(int): {{global id: \[5|block: \[1}},0,0], {{local id|thread}}: [1,0,0]
+// CHECK-SAME: Assertion `X && "this message from calculus"` failed.
+// CHECK-NOT:  this message from file2
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}kernels_in_file2.cpp:15: int calculus(int): global id: [5,0,0], local id: [1,0,0]
+// CHECK-ACC: The test ended.
+
+#include "assert_in_multiple_tus.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_multiple_tus.hpp b/sycl/test-e2e/Assert/assert_in_multiple_tus.hpp
new file mode 100644
index 0000000000000..cf65d6a4616af
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_multiple_tus.hpp
@@ -0,0 +1,51 @@
+#include "Inputs/kernels_in_file2.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#ifdef DEFINE_NDEBUG_INFILE1
+#define NDEBUG
+#else
+#undef NDEBUG
+#endif
+
+#include <cassert>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 16;
+
+int checkFunction() {
+  int X = calculus(0);
+  assert(X && "Nil in result");
+  return X;
+}
+
+void enqueueKernel_1_fromFile1(queue *Q) {
+  sycl::range<1> numOfItems{BUFFER_SIZE};
+  sycl::buffer<int, 1> Buf(numOfItems);
+
+  Q->submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class Kernel_1>(
+        sycl::nd_range(Buf.get_range(), sycl::range<1>(4)),
+        [=](sycl::id<1> wiID) {
+          int X = 0;
+          if (wiID == 5)
+            X = checkFunction();
+          Acc[wiID] = X;
+        });
+  });
+}
+
+int main(int Argc, const char *Argv[]) {
+
+  queue Q;
+  enqueueKernel_1_fromFile1(&Q);
+  enqueueKernel_2_fromFile2(&Q);
+  Q.wait();
+
+  std::cout << "The test ended." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Assert/assert_in_multiple_tus_one_ndebug.cpp b/sycl/test-e2e/Assert/assert_in_multiple_tus_one_ndebug.cpp
new file mode 100644
index 0000000000000..8acbce9277bbd
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_multiple_tus_one_ndebug.cpp
@@ -0,0 +1,24 @@
+// REQUIRES: linux
+
+// https://github.com/intel/llvm/issues/7634
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple -DDEFINE_NDEBUG_INFILE2 -I %S/Inputs %S/assert_in_multiple_tus.cpp %S/Inputs/kernels_in_file2.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.cpu.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.cpu.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.gpu.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.gpu.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.acc.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.acc.txt
+//
+// CHECK-NOT:  this message from calculus
+// CUDA uses block/thread vs global/local id for SYCL, also it shows the
+// position of a thread within the block, not the absolute ID.
+// CHECK:      {{.*}}assert_in_multiple_tus.hpp:20: int checkFunction(): {{global id: \[5|block: \[1}},0,0],
+// CHECK-SAME: {{.*}} [1,0,0] Assertion `X && "Nil in result"` failed.
+// CHECK-NOT:  this message from file2
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_multiple_tus.hpp:20: int checkFunction(): {{.*}}
+// CHECK-ACC: The test ended.
diff --git a/sycl/test-e2e/Assert/assert_in_multiple_tus_one_ndebug_win.cpp b/sycl/test-e2e/Assert/assert_in_multiple_tus_one_ndebug_win.cpp
new file mode 100644
index 0000000000000..e2add269bd1d7
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_multiple_tus_one_ndebug_win.cpp
@@ -0,0 +1,20 @@
+// REQUIRES: windows
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple -DDEFINE_NDEBUG_INFILE2 -I %S/Inputs %S/assert_in_multiple_tus.cpp %S/Inputs/kernels_in_file2.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// CHECK-NOT:  this message from calculus
+// FIXME Windows version prints '(null)' instead of '<unknown func>' once in a
+// while for some insane reason.
+// CHECK:      {{.*}}assert_in_multiple_tus.hpp:20: {{<unknown func>|(null)}}: {{.*}} [5,0,0],
+// CHECK-SAME: {{.*}} [1,0,0] Assertion `X && "Nil in result"` failed.
+// CHECK-NOT:  this message from file2
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_multiple_tus.hpp:20: {{<unknown func>|(null)}}: {{.*}} [5,0,0],
+// CHECK-ACC: The test ended.
diff --git a/sycl/test-e2e/Assert/assert_in_multiple_tus_win.cpp b/sycl/test-e2e/Assert/assert_in_multiple_tus_win.cpp
new file mode 100644
index 0000000000000..1915bd8ed80f5
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_multiple_tus_win.cpp
@@ -0,0 +1,21 @@
+// REQUIRES: windows
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple -I %S/Inputs %s %S/Inputs/kernels_in_file2.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// FIXME Windows version prints '(null)' instead of '<unknown func>' once in a
+// while for some insane reason.
+// CHECK:      {{.*}}kernels_in_file2.cpp:15: {{<unknown func>|(null)}}: {{.*}} [5,0,0], {{.*}} [1,0,0]
+// CHECK-SAME: Assertion `X && "this message from calculus"` failed.
+// CHECK-NOT:  this message from file2
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}kernels_in_file2.cpp:15: {{<unknown func>|(null)}}: {{.*}} [5,0,0], {{.*}} [1,0,0]
+// CHECK-ACC: The test ended.
+
+#include "assert_in_multiple_tus.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_one_kernel.cpp b/sycl/test-e2e/Assert/assert_in_one_kernel.cpp
new file mode 100644
index 0000000000000..f253de34ac1b4
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_one_kernel.cpp
@@ -0,0 +1,22 @@
+// REQUIRES: linux
+
+// https://github.com/intel/llvm/issues/7634
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.cpu.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.cpu.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.gpu.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.gpu.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.acc.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.acc.txt
+//
+// CHECK:      {{.*}}assert_in_one_kernel.hpp:10: void kernelFunc(int *, int): {{.*}} [{{[0-3]}},0,0], {{.*}} [0,0,0]
+// CHECK-SAME: Assertion `Buf[wiID] != 0 && "from assert statement"` failed.
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_one_kernel.hpp:10: void kernelFunc(int *, int): {{.*}} [{{[0-3]}},0,0], {{.*}} [0,0,0]
+// CHECK-ACC: The test ended.
+
+#include "assert_in_one_kernel.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_one_kernel.hpp b/sycl/test-e2e/Assert/assert_in_one_kernel.hpp
new file mode 100644
index 0000000000000..5f37916fdfdef
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_one_kernel.hpp
@@ -0,0 +1,34 @@
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+void kernelFunc(int *Buf, int wiID) {
+  Buf[wiID] = 0;
+  assert(Buf[wiID] != 0 && "from assert statement");
+}
+
+void assertTest() {
+  std::array<int, 4> Vec = {1, 2, 3, 4};
+  sycl::range<1> numOfItems{Vec.size()};
+  sycl::buffer<int, 1> Buf(Vec.data(), numOfItems);
+
+  queue Q;
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<class TheKernel>(
+        numOfItems, [=](item<1> Item) { kernelFunc(&Acc[0], Item[0]); });
+  });
+  Q.wait();
+}
+
+int main(int Argc, const char *Argv[]) {
+
+  assertTest();
+
+  std::cout << "The test ended." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Assert/assert_in_one_kernel_ndebug.cpp b/sycl/test-e2e/Assert/assert_in_one_kernel_ndebug.cpp
new file mode 100644
index 0000000000000..63aeddee9be9d
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_one_kernel_ndebug.cpp
@@ -0,0 +1,7 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DNDEBUG  %S/assert_in_one_kernel.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: from assert statement
+// CHECK: The test ended.
diff --git a/sycl/test-e2e/Assert/assert_in_one_kernel_win.cpp b/sycl/test-e2e/Assert/assert_in_one_kernel_win.cpp
new file mode 100644
index 0000000000000..9eed7fe0653fd
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_one_kernel_win.cpp
@@ -0,0 +1,20 @@
+// REQUIRES: windows
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// FIXME Windows version prints '(null)' instead of '<unknown func>' once in a
+// while for some insane reason.
+// CHECK:      {{.*}}assert_in_one_kernel.hpp:10: {{<unknown func>|(null)}}: {{.*}} [{{[0-3]}},0,0], {{.*}} [0,0,0]
+// CHECK-SAME: Assertion `Buf[wiID] != 0 && "from assert statement"` failed.
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_one_kernel.hpp:10: {{<unknown func>|(null)}}: {{.*}} [{{[0-3]}},0,0], {{.*}} [0,0,0]
+// CHECK-ACC:  The test ended.
+
+#include "assert_in_one_kernel.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_simultaneous_kernels.cpp b/sycl/test-e2e/Assert/assert_in_simultaneous_kernels.cpp
new file mode 100644
index 0000000000000..a70b3c654483d
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_simultaneous_kernels.cpp
@@ -0,0 +1,28 @@
+// REQUIRES: linux
+// FIXME: Flaky on HIP and cuda
+// UNSUPPORTED: hip || cuda
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %threads_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// Since this is a multi-threaded application enable memory tracking and
+// deferred release feature in the Level Zero plugin to avoid releasing memory
+// too early. This is necessary because currently SYCL RT sets indirect access
+// flag for all kernels and the Level Zero runtime doesn't support deferred
+// release yet.
+// Suppress runtime from printing out error messages, so that the test can
+// match on assert message generated by the toolchains.
+// RUN: env SYCL_PI_LEVEL_ZERO_TRACK_INDIRECT_ACCESS_MEMORY=1 SYCL_PI_SUPPRESS_ERROR_MESSAGE=1 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// CHECK:      {{.*}}assert_in_simultaneous_kernels.hpp:13: void assertFunc(): {{.*}}[9,7,0], {{.*}}[0,0,0]
+// CHECK-SAME: Assertion `false && "from assert statement"` failed.
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_simultaneous_kernels.hpp:13: void assertFunc(): {{.*}} [9,7,0], {{.*}} [0,0,0]
+// CHECK-ACC: The test ended.
+
+#include "assert_in_simultaneous_kernels.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_simultaneous_kernels.hpp b/sycl/test-e2e/Assert/assert_in_simultaneous_kernels.hpp
new file mode 100644
index 0000000000000..8f6bb1e999d24
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_simultaneous_kernels.hpp
@@ -0,0 +1,75 @@
+#include <cassert>
+#include <cstdio>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <thread>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t NUM_THREADS = 4;
+static constexpr size_t RANGE_SIZE = 1024;
+
+void assertFunc() { assert(false && "from assert statement"); }
+
+template <class kernel_name> void assertTest(queue *Q) {
+  Q->submit([&](handler &CGH) {
+    CGH.parallel_for<kernel_name>(
+        nd_range<2>{{RANGE_SIZE, RANGE_SIZE}, {1, 1}}, [=](nd_item<2> it) {
+          if (it.get_global_id(0) == 7 && it.get_global_id(1) == 9)
+            assertFunc();
+        });
+  });
+  Q->wait();
+}
+
+void runTestForTid(queue *Q, size_t Tid) {
+  switch (Tid % 4) {
+  case 0: {
+    assertTest<class the_kernel1>(Q);
+    break;
+  }
+  case 1: {
+    assertTest<class the_kernel2>(Q);
+    break;
+  }
+  case 2: {
+    assertTest<class the_kernel3>(Q);
+    break;
+  }
+  case 3: {
+    assertTest<class the_kernel4>(Q);
+    break;
+  }
+  }
+}
+
+int main(int Argc, const char *Argv[]) {
+  // On windows stderr output becomes messed up if several thread
+  // output simultaneously. Hence, setting explicit line buffering here.
+#ifndef __SYCL_DEVICE_ONLY__
+  if (setvbuf(stderr, nullptr, _IOLBF, BUFSIZ)) {
+    std::cerr << "Can't set line-buffering mode fo stderr\n";
+    return 1;
+  }
+#endif
+
+  std::vector<std::thread> threadPool;
+  threadPool.reserve(NUM_THREADS);
+
+  std::vector<std::unique_ptr<queue>> Queues;
+  for (size_t i = 0; i < NUM_THREADS; ++i) {
+    Queues.push_back(std::make_unique<queue>());
+  }
+
+  for (size_t tid = 0; tid < NUM_THREADS; ++tid) {
+    threadPool.push_back(std::thread(runTestForTid, Queues[tid].get(), tid));
+  }
+
+  for (auto &currentThread : threadPool) {
+    currentThread.join();
+  }
+
+  std::cout << "The test ended." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Assert/assert_in_simultaneous_kernels_win.cpp b/sycl/test-e2e/Assert/assert_in_simultaneous_kernels_win.cpp
new file mode 100644
index 0000000000000..647dc8ff3d244
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_simultaneous_kernels_win.cpp
@@ -0,0 +1,26 @@
+// REQUIRES: windows
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %threads_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// Since this is a multi-threaded application enable memory tracking and
+// deferred release feature in the Level Zero plugin to avoid releasing memory
+// too early. This is necessary because currently SYCL RT sets indirect access
+// flag for all kernels and the Level Zero runtime doesn't support deferred
+// release yet.
+// RUN: env SYCL_PI_LEVEL_ZERO_TRACK_INDIRECT_ACCESS_MEMORY=1 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// FIXME Windows version prints '(null)' instead of '<unknown func>' once in a
+// while for some insane reason.
+// CHECK:      {{.*}}assert_in_simultaneous_kernels.hpp:13: {{<unknown func>|(null)}}: global id: [9,7,0], local id: [0,0,0]
+// CHECK-SAME: Assertion `false && "from assert statement"` failed.
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{.*}}assert_in_simultaneous_kernels.hpp:13: {{<unknown func>|(null)}}: global id: [9,7,0], local id: [0,0,0]
+// CHECK-ACC:  The test ended.
+
+#include "assert_in_simultaneous_kernels.hpp"
diff --git a/sycl/test-e2e/Assert/assert_in_simultaneously_multiple_tus.cpp b/sycl/test-e2e/Assert/assert_in_simultaneously_multiple_tus.cpp
new file mode 100644
index 0000000000000..75fb682044343
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_simultaneously_multiple_tus.cpp
@@ -0,0 +1,115 @@
+// FIXME flaky fail on CUDA and HIP
+// UNSUPPORTED: cuda || hip
+//
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple -I %S/Inputs %s %S/Inputs/kernels_in_file2.cpp -o %t.out %threads_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// Since this is a multi-threaded application enable memory tracking and
+// deferred release feature in the Level Zero plugin to avoid releasing memory
+// too early. This is necessary because currently SYCL RT sets indirect access
+// flag for all kernels and the Level Zero runtime doesn't support deferred
+// release yet.
+// Suppress runtime from printing out error messages, so that the test can
+// match on assert message generated by the toolchains.
+// RUN: env SYCL_PI_LEVEL_ZERO_TRACK_INDIRECT_ACCESS_MEMORY=1 SYCL_PI_SUPPRESS_ERROR_MESSAGE=1 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.txt
+//
+// CHECK:      {{this message from file1|this message from file2}}
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC-NOT: {{this message from file1|this message from file2}}
+// CHECK-ACC: The test ended.
+
+#include "Inputs/kernels_in_file2.hpp"
+#include <cstdio>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <thread>
+
+#ifdef DEFINE_NDEBUG_INFILE1
+#define NDEBUG
+#else
+#undef NDEBUG
+#endif
+
+#include <cassert>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t NUM_THREADS = 4;
+static constexpr size_t BUFFER_SIZE = 10;
+
+template <class kernel_name> void enqueueKernel(queue *Q) {
+  sycl::range<1> numOfItems{BUFFER_SIZE};
+  sycl::buffer<int, 1> Buf(numOfItems);
+
+  Q->submit([&](handler &CGH) {
+    auto Acc = Buf.template get_access<mode::read_write>(CGH);
+
+    CGH.parallel_for<kernel_name>(numOfItems, [=](sycl::id<1> wiID) {
+      Acc[wiID] = 0;
+      if (wiID == 5)
+        assert(false && "this message from file1");
+    });
+  });
+}
+
+void runTestForTid(queue *Q, size_t Tid) {
+  switch (Tid % 4) {
+  case 0: {
+    enqueueKernel<class kernel_name1>(Q);
+    Q->wait();
+    break;
+  }
+  case 1: {
+    enqueueKernel<class kernel_name2>(Q);
+    Q->wait();
+    break;
+  }
+  case 2: {
+    enqueueKernel_1_fromFile2(Q);
+    Q->wait();
+    break;
+  }
+  case 3: {
+    enqueueKernel_2_fromFile2(Q);
+    Q->wait();
+    break;
+  }
+  }
+}
+
+int main(int Argc, const char *Argv[]) {
+#ifndef __SYCL_DEVICE_ONLY__
+  // On windows stderr output becomes messed up if several thread
+  // output simultaneously. Hence, setting explicit line buffering here.
+  if (setvbuf(stderr, nullptr, _IOLBF, BUFSIZ)) {
+    std::cerr << "Can't set line-buffering mode fo stderr\n";
+    return 1;
+  }
+#endif
+
+  std::vector<std::thread> threadPool;
+  threadPool.reserve(NUM_THREADS);
+
+  std::vector<std::unique_ptr<queue>> Queues;
+  for (size_t i = 0; i < NUM_THREADS; ++i) {
+    Queues.push_back(std::make_unique<queue>());
+  }
+
+  for (size_t tid = 0; tid < NUM_THREADS; ++tid) {
+    threadPool.push_back(std::thread(runTestForTid, Queues[tid].get(), tid));
+  }
+
+  for (auto &currentThread : threadPool) {
+    currentThread.join();
+  }
+
+  std::cout << "The test ended." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Assert/assert_in_simultaneously_multiple_tus_one_ndebug.cpp b/sycl/test-e2e/Assert/assert_in_simultaneously_multiple_tus_one_ndebug.cpp
new file mode 100644
index 0000000000000..266896108f702
--- /dev/null
+++ b/sycl/test-e2e/Assert/assert_in_simultaneously_multiple_tus_one_ndebug.cpp
@@ -0,0 +1,26 @@
+// FIXME flaky fail on CUDA
+// FIXME HIP: https://github.com/intel/llvm/issues/7634
+// UNSUPPORTED: cuda, hip
+
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple -DDEFINE_NDEBUG_INFILE2 -I %S/Inputs %S/assert_in_simultaneously_multiple_tus.cpp %S/Inputs/kernels_in_file2.cpp -o %t.out %threads_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.cpu.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.cpu.txt
+//
+// Since this is a multi-threaded application enable memory tracking and
+// deferred release feature in the Level Zero plugin to avoid releasing memory
+// too early. This is necessary because currently SYCL RT sets indirect access
+// flag for all kernels and the Level Zero runtime doesn't support deferred
+// release yet.
+// Suppress runtime from printing out error messages, so that the test can
+// match on assert message generated by the toolchains.
+// RUN: env SYCL_PI_LEVEL_ZERO_TRACK_INDIRECT_ACCESS_MEMORY=1 SYCL_PI_SUPPRESS_ERROR_MESSAGE=1 %GPU_RUN_PLACEHOLDER %t.out &> %t.gpu.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.gpu.txt
+// Shouldn't fail on ACC as fallback assert isn't enqueued there
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.acc.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --check-prefix=CHECK-ACC --input-file %t.acc.txt
+//
+// CHECK:      this message from file1
+// CHECK-NOT:  this message from file2
+// CHECK-NOT:  The test ended.
+//
+// CHECK-ACC: The test ended.
diff --git a/sycl/test-e2e/AsyncHandler/default_async_handler.cpp b/sycl/test-e2e/AsyncHandler/default_async_handler.cpp
new file mode 100644
index 0000000000000..15f5a56b56727
--- /dev/null
+++ b/sycl/test-e2e/AsyncHandler/default_async_handler.cpp
@@ -0,0 +1,24 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Q;
+  Q.submit([&](handler &CGH) {
+     CGH.host_task([=]() {
+       throw std::runtime_error("Exception thrown from host_task.");
+     });
+   }).wait_and_throw();
+  return 0;
+}
+
+// CHECK:      Default async_handler caught exceptions:
+// CHECK-NEXT: Exception thrown from host_task.
diff --git a/sycl/test-e2e/AtomicRef/accessor.cpp b/sycl/test-e2e/AtomicRef/accessor.cpp
new file mode 100644
index 0000000000000..058d33e0d9078
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/accessor.cpp
@@ -0,0 +1,105 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+// Equivalent to add_test from add.cpp
+// Uses atomic_accessor instead of atomic_ref
+template <typename T> void accessor_test(queue q, size_t N) {
+  T sum = 0;
+  std::vector<T> output(N, 0);
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+#if __cplusplus > 201402L
+      static_assert(
+          std::is_same<decltype(atomic_accessor(sum_buf, cgh, relaxed_order,
+                                                device_scope)),
+                       atomic_accessor<T, 1, memory_order::relaxed,
+                                       memory_scope::device>>::value,
+          "atomic_accessor type incorrectly deduced");
+#endif
+      auto sum =
+          atomic_accessor<T, 1, memory_order::relaxed, memory_scope::device>(
+              sum_buf, cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        static_assert(
+            std::is_same<decltype(sum[0]),
+                         ::sycl::ext::oneapi::atomic_ref<
+                             T, memory_order::relaxed, memory_scope::device,
+                             access::address_space::global_space>>::value,
+            "atomic_accessor returns incorrect atomic_ref");
+        out[gid] = sum[0].fetch_add(T(1));
+      });
+    });
+  }
+
+  // All work-items increment by 1, so final value should be equal to N
+  assert(sum == N);
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+
+  // Fetch returns original value: will be in [0, N-1]
+  auto min_e = output[0];
+  auto max_e = output[output.size() - 1];
+  assert(min_e == 0 && max_e == N - 1);
+}
+
+// Simplified form of accessor_test for local memory
+template <typename T>
+void local_accessor_test(queue q, size_t N, size_t L = 8) {
+  assert(N % L == 0);
+  std::vector<T> output(N / L, 0);
+  {
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto sum =
+          atomic_accessor<T, 1, memory_order::relaxed, memory_scope::device,
+                          access::target::local>(1, cgh);
+      auto out = output_buf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for(nd_range<1>(N, L), [=](nd_item<1> it) {
+        int grp = it.get_group(0);
+        sum[0].store(0);
+        it.barrier();
+        static_assert(
+            std::is_same<decltype(sum[0]),
+                         ::sycl::ext::oneapi::atomic_ref<
+                             T, memory_order::relaxed, memory_scope::device,
+                             access::address_space::local_space>>::value,
+            "local atomic_accessor returns incorrect atomic_ref");
+        T result = sum[0].fetch_add(T(1));
+        if (result == it.get_local_range(0) - 1) {
+          out[grp] = result;
+        }
+      });
+    });
+  }
+
+  // All work-items increment by 1, and last in the group writes out old value
+  // All values should be L-1
+  assert(std::all_of(output.begin(), output.end(),
+                     [=](T x) { return x == L - 1; }));
+}
+
+int main() {
+  queue q;
+  constexpr int N = 32;
+  accessor_test<int>(q, N);
+  local_accessor_test<int>(q, N);
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/add.cpp b/sycl/test-e2e/AtomicRef/add.cpp
new file mode 100644
index 0000000000000..909daea98595c
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add.h b/sycl/test-e2e/AtomicRef/add.h
new file mode 100644
index 0000000000000..48f24342202d2
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add.h
@@ -0,0 +1,350 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void add_fetch_local_test(queue q, size_t N) {
+  T sum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto sum = sum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = 0;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.fetch_add(Difference(1), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           sum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // All work-items increment by 1, so final value should be equal to N
+  assert(sum == T(N));
+
+  // Fetch returns original value: will be in [0, N-1]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == 0 && *max_e == T(N - 1));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void add_fetch_test(queue q, size_t N) {
+  T sum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto sum = sum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       cgh.parallel_for(range<1>(N), [=](item<1> it) {
+         int gid = it.get_id(0);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (sum[0]);
+         out[gid] = atm.fetch_add(Difference(1), order);
+       });
+     }).wait_and_throw();
+  }
+
+  // All work-items increment by 1, so final value should be equal to N
+  assert(sum == T(N));
+
+  // Fetch returns original value: will be in [0, N-1]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == 0 && *max_e == T(N - 1));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void add_plus_equal_test(queue q, size_t N) {
+  T sum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto sum = sum_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (sum[0]);
+        out[gid] = atm += Difference(1);
+      });
+    });
+  }
+
+  // All work-items increment by 1, so final value should be equal to N
+  assert(sum == T(N));
+
+  // += returns updated value: will be in [1, N]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(1) && *max_e == T(N));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void add_pre_inc_test(queue q, size_t N) {
+  T sum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto sum = sum_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (sum[0]);
+        out[gid] = ++atm;
+      });
+    });
+  }
+
+  // All work-items increment by 1, so final value should be equal to N
+  assert(sum == T(N));
+
+  // Pre-increment returns updated value: will be in [1, N]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(1) && *max_e == T(N));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void add_post_inc_test(queue q, size_t N) {
+  T sum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto sum = sum_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (sum[0]);
+        out[gid] = atm++;
+      });
+    });
+  }
+
+  // All work-items increment by 1, so final value should be equal to N
+  assert(sum == T(N));
+
+  // Post-increment returns original value: will be in [0, N-1]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(0) && *max_e == T(N - 1));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void add_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      add_fetch_local_test<::sycl::ext::oneapi::atomic_ref, space, T,
+                           Difference, order, scope>(q, N);
+    }
+#else
+    add_fetch_local_test<::sycl::atomic_ref, space, T, Difference, order,
+                         scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      add_fetch_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                     order, scope>(q, N);
+      add_plus_equal_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                          order, scope>(q, N);
+      if constexpr (!std::is_floating_point_v<T>) {
+        add_pre_inc_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                         order, scope>(q, N);
+        add_post_inc_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                          order, scope>(q, N);
+      }
+    }
+#else
+    add_fetch_test<::sycl::atomic_ref, space, T, Difference, order, scope>(q,
+                                                                           N);
+    add_plus_equal_test<::sycl::atomic_ref, space, T, Difference, order, scope>(
+        q, N);
+    if constexpr (!std::is_floating_point_v<T>) {
+      add_pre_inc_test<::sycl::atomic_ref, space, T, Difference, order, scope>(
+          q, N);
+      add_post_inc_test<::sycl::atomic_ref, space, T, Difference, order, scope>(
+          q, N);
+    }
+#endif
+  }
+}
+
+template <access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed>
+void add_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    add_test<space, T, Difference, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    add_test<space, T, Difference, order, memory_scope::sub_group>(q, N);
+  }
+  add_test<space, T, Difference, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T, typename Difference = T>
+void add_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    add_test_scopes<space, T, Difference, memory_order::acq_rel>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    add_test_scopes<space, T, Difference, memory_order::acquire>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    add_test_scopes<space, T, Difference, memory_order::release>(q, N);
+  }
+  add_test_scopes<space, T, Difference, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void add_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  add_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    add_test_orders_scopes<space, long>(q, N);
+    add_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    add_test_orders_scopes<space, long long>(q, N);
+    add_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 8) {
+    add_test_orders_scopes<space, char *, ptrdiff_t>(q, N);
+  }
+#endif
+  add_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  add_test_orders_scopes<space, int>(q, N);
+  add_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    add_test_orders_scopes<space, long>(q, N);
+    add_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 4) {
+    add_test_orders_scopes<space, char *, ptrdiff_t>(q, N);
+  }
+#endif
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/add_generic.cpp b/sycl/test-e2e/AtomicRef/add_generic.cpp
new file mode 100644
index 0000000000000..ef7729e03adcc
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add_generic_local.cpp b/sycl/test-e2e/AtomicRef/add_generic_local.cpp
new file mode 100644
index 0000000000000..71bae60ff7296
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add_generic_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/add_generic_local_native_fp.cpp
new file mode 100644
index 0000000000000..ac370e4b8b633
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_generic_local_native_fp.cpp
@@ -0,0 +1,12 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add_generic_native_fp.cpp b/sycl/test-e2e/AtomicRef/add_generic_native_fp.cpp
new file mode 100644
index 0000000000000..4c19b0f85c909
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_generic_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add_local.cpp b/sycl/test-e2e/AtomicRef/add_local.cpp
new file mode 100644
index 0000000000000..217d1707e5c91
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/add_local_native_fp.cpp
new file mode 100644
index 0000000000000..60f47188e91c6
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_local_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/add_native_fp.cpp b/sycl/test-e2e/AtomicRef/add_native_fp.cpp
new file mode 100644
index 0000000000000..c5e620da72f09
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/add_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "add.h"
+
+int main() { add_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/and.cpp b/sycl/test-e2e/AtomicRef/and.cpp
new file mode 100644
index 0000000000000..da76ee0eb96ed
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/and.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "and.h"
+
+int main() { and_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/and.h b/sycl/test-e2e/AtomicRef/and.h
new file mode 100755
index 0000000000000..5762125a40b21
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/and.h
@@ -0,0 +1,191 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void and_local_test(queue q) {
+  const size_t N = 32;
+  T cum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = T((1ll << N) - 1);
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.fetch_and(~T(1ll << gid), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           cum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // Final value should be equal to 0
+  assert(cum == 0);
+
+  // All other values should be unique; each work-item sets one bit to 0
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void and_global_test(queue q) {
+  const size_t N = 32;
+  const T initial = T((1ll << N) - 1);
+  T cum = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        size_t gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (cum[0]);
+        out[gid] = atm.fetch_and(~T(1ll << gid), order);
+      });
+    });
+  }
+
+  // Final value should be equal to 0
+  assert(cum == 0);
+
+  // All other values should be unique; each work-item sets one bit to 0
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void and_test(queue q) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      and_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q);
+    }
+#else
+    and_local_test<::sycl::atomic_ref, space, T, order, scope>(q);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      and_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q);
+    }
+#else
+    and_global_test<::sycl::atomic_ref, space, T, order, scope>(q);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void and_test_scopes(queue q) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    and_test<space, T, order, memory_scope::work_group>(q);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    and_test<space, T, order, memory_scope::sub_group>(q);
+  }
+  and_test<space, T, order, memory_scope::device>(q);
+}
+
+template <access::address_space space, typename T>
+void and_test_orders_scopes(queue q) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    and_test_scopes<space, T, memory_order::acq_rel>(q);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    and_test_scopes<space, T, memory_order::acquire>(q);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    and_test_scopes<space, T, memory_order::release>(q);
+  }
+  and_test_scopes<space, T, memory_order::relaxed>(q);
+}
+
+template <access::address_space space> void and_test_all() {
+  queue q;
+
+#ifdef FULL_ATOMIC64_COVERAGE
+  if constexpr (sizeof(long) == 8) {
+    and_test_orders_scopes<space, long>(q);
+    and_test_orders_scopes<space, unsigned long>(q);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    and_test_orders_scopes<space, long long>(q);
+    and_test_orders_scopes<space, unsigned long long>(q);
+  }
+#endif
+  and_test_orders_scopes<space, int>(q);
+#ifdef FULL_ATOMIC32_COVERAGE
+  and_test_orders_scopes<space, unsigned int>(q);
+  if constexpr (sizeof(long) == 4) {
+    and_test_orders_scopes<space, long>(q);
+    and_test_orders_scopes<space, unsigned long>(q);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/and_generic.cpp b/sycl/test-e2e/AtomicRef/and_generic.cpp
new file mode 100644
index 0000000000000..a07dbba95813a
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/and_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "and.h"
+
+int main() { and_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/and_generic_local.cpp b/sycl/test-e2e/AtomicRef/and_generic_local.cpp
new file mode 100644
index 0000000000000..29d27d6c58946
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/and_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "and.h"
+
+int main() { and_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/and_local.cpp b/sycl/test-e2e/AtomicRef/and_local.cpp
new file mode 100644
index 0000000000000..d8c48a93e3efa
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/and_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "and.h"
+
+int main() { and_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/assignment.cpp b/sycl/test-e2e/AtomicRef/assignment.cpp
new file mode 100644
index 0000000000000..6bfc26e6f1f3f
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/assignment.cpp
@@ -0,0 +1,30 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "assignment.h"
+#include <iostream>
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  constexpr int N = 32;
+  assignment_test<int>(q, N);
+  assignment_test<unsigned int>(q, N);
+  assignment_test<float>(q, N);
+
+  // Include long tests if they are 32 bits wide
+  if constexpr (sizeof(long) == 4) {
+    assignment_test<long>(q, N);
+    assignment_test<unsigned long>(q, N);
+  }
+
+  // Include pointer tests if they are 32 bits wide
+  if constexpr (sizeof(char *) == 4) {
+    assignment_test<char *>(q, N);
+  }
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/assignment.h b/sycl/test-e2e/AtomicRef/assignment.h
new file mode 100644
index 0000000000000..68e0e7c1c7f75
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/assignment.h
@@ -0,0 +1,56 @@
+#pragma once
+
+#include <algorithm>
+#include <cassert>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space address_space, typename T>
+class assignment_kernel;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space address_space, typename T>
+void assignment_test(queue q, size_t N) {
+  T initial = T(N);
+  T assignment = initial;
+  {
+    buffer<T> assignment_buf(&assignment, 1);
+    q.submit([&](handler &cgh) {
+      auto st =
+          assignment_buf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<assignment_kernel<AtomicRef, address_space, T>>(
+          range<1>(N), [=](item<1> it) {
+            size_t gid = it.get_id(0);
+            auto atm = AtomicRef<T, memory_order::relaxed, memory_scope::device,
+                                 address_space>(st[0]);
+            atm = T(gid);
+          });
+    });
+  }
+
+  // The initial value should have been overwritten by a work-item ID
+  // Atomicity isn't tested here, but support for assignment() is
+  assert(assignment != initial);
+  assert(assignment >= T(0) && assignment <= T(N - 1));
+}
+
+template <typename T> void assignment_test(queue q, size_t N) {
+#ifdef RUN_DEPRECATED
+  assignment_test<::sycl::ext::oneapi::atomic_ref,
+                  access::address_space::global_space, T>(q, N);
+#else
+  assignment_test<::sycl::atomic_ref, access::address_space::global_space, T>(
+      q, N);
+#endif
+}
+
+template <typename T> void assignment_generic_test(queue q, size_t N) {
+  assignment_test<::sycl::atomic_ref, access::address_space::generic_space, T>(
+      q, N);
+}
diff --git a/sycl/test-e2e/AtomicRef/assignment_atomic64.cpp b/sycl/test-e2e/AtomicRef/assignment_atomic64.cpp
new file mode 100644
index 0000000000000..ffee3ebf0d1f3
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/assignment_atomic64.cpp
@@ -0,0 +1,44 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "assignment.h"
+#include <iostream>
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  device dev = q.get_device();
+
+  if (!dev.has(aspect::atomic64)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  const bool DoublesSupported = dev.has(sycl::aspect::fp64);
+
+  constexpr int N = 32;
+  if (DoublesSupported)
+    assignment_test<double>(q, N);
+
+  // Include long tests if they are 64 bits wide
+  if constexpr (sizeof(long) == 8) {
+    assignment_test<long>(q, N);
+    assignment_test<unsigned long>(q, N);
+  }
+
+  // Include long long tests if they are 64 bits wide
+  if constexpr (sizeof(long long) == 8) {
+    assignment_test<long long>(q, N);
+    assignment_test<unsigned long long>(q, N);
+  }
+
+  // Include pointer tests if they are 64 bits wide
+  if constexpr (sizeof(char *) == 8) {
+    assignment_test<char *>(q, N);
+  }
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/assignment_atomic64_generic.cpp b/sycl/test-e2e/AtomicRef/assignment_atomic64_generic.cpp
new file mode 100644
index 0000000000000..3de52ac7fcc55
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/assignment_atomic64_generic.cpp
@@ -0,0 +1,44 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "assignment.h"
+#include <iostream>
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  device dev = q.get_device();
+
+  if (!dev.has(aspect::atomic64)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  const bool DoublesSupported = dev.has(sycl::aspect::fp64);
+
+  constexpr int N = 32;
+  if (DoublesSupported)
+    assignment_generic_test<double>(q, N);
+
+  // Include long tests if they are 64 bits wide
+  if constexpr (sizeof(long) == 8) {
+    assignment_generic_test<long>(q, N);
+    assignment_generic_test<unsigned long>(q, N);
+  }
+
+  // Include long long tests if they are 64 bits wide
+  if constexpr (sizeof(long long) == 8) {
+    assignment_generic_test<long long>(q, N);
+    assignment_generic_test<unsigned long long>(q, N);
+  }
+
+  // Include pointer tests if they are 64 bits wide
+  if constexpr (sizeof(char *) == 8) {
+    assignment_generic_test<char *>(q, N);
+  }
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/assignment_generic.cpp b/sycl/test-e2e/AtomicRef/assignment_generic.cpp
new file mode 100644
index 0000000000000..825d71d0c0483
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/assignment_generic.cpp
@@ -0,0 +1,30 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "assignment.h"
+#include <iostream>
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  constexpr int N = 32;
+  assignment_generic_test<int>(q, N);
+  assignment_generic_test<unsigned int>(q, N);
+  assignment_generic_test<float>(q, N);
+
+  // Include long tests if they are 32 bits wide
+  if constexpr (sizeof(long) == 4) {
+    assignment_generic_test<long>(q, N);
+    assignment_generic_test<unsigned long>(q, N);
+  }
+
+  // Include pointer tests if they are 32 bits wide
+  if constexpr (sizeof(char *) == 4) {
+    assignment_generic_test<char *>(q, N);
+  }
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/atomic_memory_order.cpp b/sycl/test-e2e/AtomicRef/atomic_memory_order.cpp
new file mode 100644
index 0000000000000..e06e7c00f7911
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/atomic_memory_order.cpp
@@ -0,0 +1,27 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// L0, OpenCL backends don't currently support
+// info::device::atomic_memory_order_capabilities
+// UNSUPPORTED: level_zero || opencl
+
+// NOTE: General tests for atomic memory order capabilities.
+
+#include "atomic_memory_order.h"
+#include <cassert>
+#include <iostream>
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  std::vector<memory_order> supported_memory_orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+
+  // Relaxed memory order must be supported. This ordering is used in other
+  // tests.
+  assert(is_supported(supported_memory_orders, memory_order::relaxed));
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/atomic_memory_order.h b/sycl/test-e2e/AtomicRef/atomic_memory_order.h
new file mode 100644
index 0000000000000..ea54311dccbac
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/atomic_memory_order.h
@@ -0,0 +1,12 @@
+#pragma once
+
+#include <algorithm>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+bool is_supported(std::vector<memory_order> capabilities,
+                  memory_order mem_order) {
+  return std::find(capabilities.begin(), capabilities.end(), mem_order) !=
+         capabilities.end();
+}
diff --git a/sycl/test-e2e/AtomicRef/atomic_memory_order_acq_rel.cpp b/sycl/test-e2e/AtomicRef/atomic_memory_order_acq_rel.cpp
new file mode 100644
index 0000000000000..5e622995832b7
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/atomic_memory_order_acq_rel.cpp
@@ -0,0 +1,233 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O3 -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_70
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// L0, OpenCL, and HIP backends don't currently support
+// info::device::atomic_memory_order_capabilities
+// UNSUPPORTED: level_zero, opencl
+
+// NOTE: Tests fetch_add for acquire and release memory ordering.
+
+#include "atomic_memory_order.h"
+#include <iostream>
+#include <numeric>
+using namespace sycl;
+
+template <memory_order order> void test_acquire_global() {
+  const size_t N_items = 1024;
+  const size_t N_iters = 1000;
+
+  int error = 0;
+  int val[] = {0, 0};
+
+  queue q;
+  {
+    buffer<int> error_buf(&error, 1);
+    buffer<int> val_buf(val, 1);
+
+    q.submit([&](handler &cgh) {
+       auto error =
+           error_buf.template get_access<access::mode::read_write>(cgh);
+       auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+       cgh.parallel_for(range<1>(N_items), [=](item<1> it) {
+         volatile int *val_p = val.get_pointer();
+         auto atm0 =
+             atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                        access::address_space::global_space>(val[0]);
+         auto atm1 =
+             atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                        access::address_space::global_space>(val[1]);
+         for (int i = 0; i < N_iters; i++) {
+           if (it.get_id(0) == 0) {
+             atm0.fetch_add(1, order);
+             val_p[1]++;
+           } else {
+             int tmp1 = atm1.load(memory_order::acquire);
+             int tmp0 = atm0.load(memory_order::relaxed);
+             if (tmp0 < tmp1) {
+               error[0] = 1;
+             }
+           }
+         }
+       });
+     }).wait_and_throw();
+  }
+  assert(error == 0);
+}
+
+template <memory_order order> void test_acquire_local() {
+  const size_t local_size = 1024;
+  const size_t N_wgs = 16;
+  const size_t global_size = local_size * N_wgs;
+  const size_t N_iters = 1000;
+
+  int error = 0;
+  int val[] = {0, 0};
+
+  queue q;
+  {
+    buffer<int> error_buf(&error, 1);
+    buffer<int> val_buf(val, 1);
+
+    q.submit([&](handler &cgh) {
+       auto error =
+           error_buf.template get_access<access::mode::read_write>(cgh);
+       local_accessor<int, 1> val(2, cgh);
+       cgh.parallel_for(
+           nd_range<1>(global_size, local_size), [=](nd_item<1> it) {
+             size_t lid = it.get_local_id(0);
+             val[0] = 0;
+             val[1] = 0;
+             it.barrier(access::fence_space::local_space);
+             volatile int *val_p = val.get_pointer();
+             auto atm0 =
+                 atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                            access::address_space::local_space>(val[0]);
+             auto atm1 =
+                 atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                            access::address_space::local_space>(val[1]);
+             for (int i = 0; i < N_iters; i++) {
+               if (it.get_local_id(0) == 0) {
+                 atm0.fetch_add(1, order);
+                 val_p[1]++;
+               } else {
+                 int tmp1 = atm1.load(memory_order::acquire);
+                 int tmp0 = atm0.load(memory_order::relaxed);
+                 if (tmp0 < tmp1) {
+                   error[0] = 1;
+                 }
+               }
+             }
+           });
+     }).wait_and_throw();
+  }
+  assert(error == 0);
+}
+
+template <memory_order order> void test_release_global() {
+  const size_t N_items = 1024;
+  const size_t N_iters = 1000;
+
+  int error = 0;
+  int val[] = {0, 0};
+
+  queue q;
+  {
+    buffer<int> error_buf(&error, 1);
+    buffer<int> val_buf(val, 1);
+
+    q.submit([&](handler &cgh) {
+       auto error =
+           error_buf.template get_access<access::mode::read_write>(cgh);
+       auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+       cgh.parallel_for(range<1>(N_items), [=](item<1> it) {
+         volatile int *val_p = val.get_pointer();
+         auto atm0 =
+             atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                        access::address_space::global_space>(val[0]);
+         auto atm1 =
+             atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                        access::address_space::global_space>(val[1]);
+         for (int i = 0; i < N_iters; i++) {
+           if (it.get_id(0) == 0) {
+             val_p[0]++;
+             atm1.fetch_add(1, order);
+           } else {
+             int tmp1 = atm1.load(memory_order::acquire);
+             int tmp0 = atm0.load(memory_order::relaxed);
+             if (tmp0 < tmp1) {
+               error[0] = 1;
+             }
+           }
+         }
+       });
+     }).wait_and_throw();
+  }
+  assert(error == 0);
+}
+
+template <memory_order order> void test_release_local() {
+  const size_t local_size = 1024;
+  const size_t N_wgs = 16;
+  const size_t global_size = local_size * N_wgs;
+  const size_t N_iters = 1000;
+
+  int error = 0;
+  int val[] = {0, 0};
+
+  queue q;
+  {
+    buffer<int> error_buf(&error, 1);
+    buffer<int> val_buf(val, 1);
+
+    q.submit([&](handler &cgh) {
+       auto error =
+           error_buf.template get_access<access::mode::read_write>(cgh);
+       local_accessor<int, 1> val(2, cgh);
+       cgh.parallel_for(
+           nd_range<1>(global_size, local_size), [=](nd_item<1> it) {
+             size_t lid = it.get_local_id(0);
+             val[0] = 0;
+             val[1] = 0;
+             it.barrier(access::fence_space::local_space);
+             volatile int *val_p = val.get_pointer();
+             auto atm0 =
+                 atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                            access::address_space::local_space>(val[0]);
+             auto atm1 =
+                 atomic_ref<int, memory_order::relaxed, memory_scope::device,
+                            access::address_space::local_space>(val[1]);
+             for (int i = 0; i < N_iters; i++) {
+               if (it.get_local_id(0) == 0) {
+                 val_p[0]++;
+                 atm1.fetch_add(1, order);
+               } else {
+                 int tmp1 = atm1.load(memory_order::acquire);
+                 int tmp0 = atm0.load(memory_order::relaxed);
+                 if (tmp0 < tmp1) {
+                   error[0] = 1;
+                 }
+               }
+             }
+           });
+     }).wait_and_throw();
+  }
+  assert(error == 0);
+}
+
+int main() {
+  queue q;
+  std::vector<memory_order> supported_memory_orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+
+  if (is_supported(supported_memory_orders, memory_order::acquire)) {
+    std::cout << "Testing acquire" << std::endl;
+    test_acquire_global<memory_order::acquire>();
+    test_acquire_local<memory_order::acquire>();
+  }
+  if (is_supported(supported_memory_orders, memory_order::release)) {
+    std::cout << "Testing release" << std::endl;
+    test_release_global<memory_order::release>();
+    test_release_local<memory_order::release>();
+  }
+  if (is_supported(supported_memory_orders, memory_order::acq_rel)) {
+    std::cout << "Testing acq_rel" << std::endl;
+    // Acquire-release memory order must also support both acquire and release
+    // orderings.
+    assert(is_supported(supported_memory_orders, memory_order::acquire) &&
+           is_supported(supported_memory_orders, memory_order::release));
+    test_acquire_global<memory_order::acq_rel>();
+    test_acquire_local<memory_order::acq_rel>();
+    test_release_global<memory_order::acq_rel>();
+    test_release_local<memory_order::acq_rel>();
+  }
+  if (is_supported(supported_memory_orders, memory_order::seq_cst)) {
+    std::cout << "Testing seq_cst" << std::endl;
+    test_acquire_global<memory_order::seq_cst>();
+    test_acquire_local<memory_order::seq_cst>();
+    test_release_global<memory_order::seq_cst>();
+    test_release_local<memory_order::seq_cst>();
+  }
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/atomic_memory_order_seq_cst.cpp b/sycl/test-e2e/AtomicRef/atomic_memory_order_seq_cst.cpp
new file mode 100755
index 0000000000000..72e521aabe089
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/atomic_memory_order_seq_cst.cpp
@@ -0,0 +1,156 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O3 -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_70
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// L0, OpenCL, and HIP backends don't currently support
+// info::device::atomic_memory_order_capabilities
+// UNSUPPORTED: level_zero, opencl
+
+#include "atomic_memory_order.h"
+#include <iostream>
+#include <numeric>
+using namespace sycl;
+
+void check(queue &q, buffer<int, 2> &res_buf) {
+  range<2> size = res_buf.get_range();
+  const size_t N_items = 2 * size[0];
+  const size_t N_iters = size[1];
+
+  // checking the results is computationally expensive so we do it on the device
+  buffer<char, 2> checked_buf(
+      {N_items / 2 * N_iters + 1, N_items / 2 * N_iters + 1});
+
+  q.submit([&](handler &cgh) {
+    auto res = res_buf.template get_access<access::mode::read>(cgh);
+    auto checked =
+        checked_buf.template get_access<access::mode::discard_write>(cgh);
+    cgh.parallel_for(nd_range<1>(N_items, 32), [=](nd_item<1> it) {
+      for (int i = it.get_global_id(0); i < N_items / 2 * N_iters;
+           i += N_items) {
+        for (int j = 0; j < N_items / 2 * N_iters + 1; j++) {
+          checked[i][j] = 0;
+        }
+      }
+    });
+  });
+  q.submit([&](handler &cgh) {
+    auto res = res_buf.template get_access<access::mode::read>(cgh);
+    auto checked =
+        checked_buf.template get_access<access::mode::discard_write>(cgh);
+    cgh.parallel_for(nd_range<1>(N_items / 2, 32), [=](nd_item<1> it) {
+      size_t id = it.get_global_id(0);
+      for (int i = 1; i < N_iters; i++) {
+        for (int j = 0; j < i; j++) {
+          if (res[id][j] == res[id][i]) {
+            continue;
+          }
+          checked[res[id][j]][res[id][i]] = 1;
+        }
+      }
+    });
+  });
+  int err = 0;
+  buffer<int> err_buf(&err, 1);
+  q.submit([&](handler &cgh) {
+    auto res = res_buf.template get_access<access::mode::read>(cgh);
+    auto checked = checked_buf.template get_access<access::mode::read>(cgh);
+    auto err = err_buf.template get_access<access::mode::discard_write>(cgh);
+    cgh.parallel_for(nd_range<1>(N_items / 2, 32), [=](nd_item<1> it) {
+      size_t id = it.get_global_id(0);
+      for (int i = 1; i < N_iters; i++) {
+        for (int j = 0; j < i; j++) {
+          if (checked[res[id][i]][res[id][j]]) {
+            err[0] = 1;
+          }
+        }
+      }
+    });
+  });
+  auto err_acc = err_buf.get_host_access();
+  assert(err_acc[0] == 0);
+}
+
+template <memory_order order> void test_global() {
+  const size_t N_items = 128;
+  const size_t N_iters = 1000;
+
+  int val = 0;
+
+  queue q;
+  buffer<int, 2> res_buf({N_items / 2, N_iters});
+  buffer<int> val_buf(&val, 1);
+
+  q.submit([&](handler &cgh) {
+     auto res = res_buf.template get_access<access::mode::discard_write>(cgh);
+     auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+     // Intentionally using a small work group size. The assumption being that
+     // more sub groups mean more likely failure for the same number of
+     // work-items if sequential consistency does not work
+     cgh.parallel_for(nd_range<1>(N_items, 16), [=](nd_item<1> it) {
+       auto atm = atomic_ref<int, memory_order::acq_rel, memory_scope::device,
+                             access::address_space::global_space>(val[0]);
+       size_t id = it.get_global_id(0);
+       for (int i = 0; i < N_iters; i++) {
+         if (id % 2 == 0) {
+           atm.store(id / 2 + i * N_items / 2 + 1,
+                     order == memory_order::acq_rel ? memory_order::release
+                                                    : order);
+         } else {
+           res[id / 2][i] = atm.load(
+               order == memory_order::acq_rel ? memory_order::acquire : order);
+         }
+       }
+     });
+   }).wait_and_throw();
+  check(q, res_buf);
+}
+
+template <memory_order order> void test_local() {
+  const size_t N_items = 128;
+  const size_t N_iters = 1000;
+
+  int val = 0;
+
+  queue q;
+  buffer<int, 2> res_buf({N_items / 2, N_iters});
+
+  q.submit([&](handler &cgh) {
+     auto res = res_buf.template get_access<access::mode::discard_write>(cgh);
+     local_accessor<int, 1> val(2, cgh);
+     cgh.parallel_for(nd_range<1>(N_items, N_items), [=](nd_item<1> it) {
+       val[0] = 0;
+       it.barrier(access::fence_space::local_space);
+       auto atm = atomic_ref<int, memory_order::acq_rel, memory_scope::device,
+                             access::address_space::local_space>(val[0]);
+       size_t id = it.get_global_id(0);
+       for (int i = 0; i < N_iters; i++) {
+         if (id % 2 == 0) {
+           atm.store(id / 2 + i * N_items / 2 + 1,
+                     order == memory_order::acq_rel ? memory_order::release
+                                                    : order);
+         } else {
+           res[id / 2][i] = atm.load(
+               order == memory_order::acq_rel ? memory_order::acquire : order);
+         }
+       }
+     });
+   }).wait_and_throw();
+  check(q, res_buf);
+}
+
+int main() {
+  queue q;
+  std::vector<memory_order> supported_memory_orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+
+  if (!is_supported(supported_memory_orders, memory_order::seq_cst)) {
+    std::cout
+        << "seq_cst memory order is not supported by the device. Skipping test."
+        << std::endl;
+    return 0;
+  }
+  test_global<memory_order::seq_cst>();
+  test_local<memory_order::seq_cst>();
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/compare_exchange.cpp b/sycl/test-e2e/AtomicRef/compare_exchange.cpp
new file mode 100644
index 0000000000000..ff18ef948a163
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/compare_exchange.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "compare_exchange.h"
+
+int main() { compare_exchange_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/compare_exchange.h b/sycl/test-e2e/AtomicRef/compare_exchange.h
new file mode 100644
index 0000000000000..01bef9d567d01
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/compare_exchange.h
@@ -0,0 +1,213 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void compare_exchange_local_test(queue q, size_t N) {
+  const T initial = T(N);
+  T compare_exchange = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> compare_exchange_buf(&compare_exchange, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto compare_exchange =
+           compare_exchange_buf.template get_access<access::mode::read_write>(
+               cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = initial;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         T result = T(N); // Avoid copying pointer
+         bool success = atm.compare_exchange_strong(result, (T)gid, order);
+         if (success) {
+           out[gid] = result;
+         } else {
+           out[gid] = T(gid);
+         }
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           compare_exchange[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // Only one work-item should have received the initial sentinel value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // All other values should be the index itself or the sentinel value
+  for (size_t i = 0; i < N; ++i) {
+    assert(output[i] == T(i) || output[i] == initial);
+  }
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void compare_exchange_global_test(queue q, size_t N) {
+  const T initial = T(N);
+  T compare_exchange = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> compare_exchange_buf(&compare_exchange, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+       auto exc =
+           compare_exchange_buf.template get_access<access::mode::read_write>(
+               cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       cgh.parallel_for(range<1>(N), [=](item<1> it) {
+         size_t gid = it.get_id(0);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (exc[0]);
+         T result = T(N); // Avoid copying pointer
+         bool success = atm.compare_exchange_strong(result, (T)gid, order);
+         if (success) {
+           out[gid] = result;
+         } else {
+           out[gid] = T(gid);
+         }
+       });
+     }).wait_and_throw();
+  }
+
+  // Only one work-item should have received the initial sentinel value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // All other values should be the index itself or the sentinel value
+  for (size_t i = 0; i < N; ++i) {
+    assert(output[i] == T(i) || output[i] == initial);
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void compare_exchange_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      compare_exchange_local_test<::sycl::ext::oneapi::atomic_ref, space, T,
+                                  order, scope>(q, N);
+    }
+#else
+    compare_exchange_local_test<::sycl::atomic_ref, space, T, order, scope>(q,
+                                                                            N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      compare_exchange_global_test<::sycl::ext::oneapi::atomic_ref, space, T,
+                                   order, scope>(q, N);
+    }
+#else
+    compare_exchange_global_test<::sycl::atomic_ref, space, T, order, scope>(q,
+                                                                             N);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void compare_exchange_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    compare_exchange_test<space, T, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    compare_exchange_test<space, T, order, memory_scope::sub_group>(q, N);
+  }
+  compare_exchange_test<space, T, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T>
+void compare_exchange_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    compare_exchange_test_scopes<space, T, memory_order::acq_rel>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    compare_exchange_test_scopes<space, T, memory_order::acquire>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    compare_exchange_test_scopes<space, T, memory_order::release>(q, N);
+  }
+  compare_exchange_test_scopes<space, T, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void compare_exchange_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  compare_exchange_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    compare_exchange_test_orders_scopes<space, long>(q, N);
+    compare_exchange_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    compare_exchange_test_orders_scopes<space, long long>(q, N);
+    compare_exchange_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+#endif
+  compare_exchange_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  compare_exchange_test_orders_scopes<space, int>(q, N);
+  compare_exchange_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    compare_exchange_test_orders_scopes<space, long>(q, N);
+    compare_exchange_test_orders_scopes<space, unsigned long>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/compare_exchange_generic.cpp b/sycl/test-e2e/AtomicRef/compare_exchange_generic.cpp
new file mode 100644
index 0000000000000..c3edc04b357a1
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/compare_exchange_generic.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "compare_exchange.h"
+
+int main() {
+  compare_exchange_test_all<access::address_space::generic_space>();
+}
diff --git a/sycl/test-e2e/AtomicRef/compare_exchange_generic_local.cpp b/sycl/test-e2e/AtomicRef/compare_exchange_generic_local.cpp
new file mode 100644
index 0000000000000..7af8575d7a1ea
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/compare_exchange_generic_local.cpp
@@ -0,0 +1,12 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "compare_exchange.h"
+
+int main() {
+  compare_exchange_test_all<access::address_space::generic_space>();
+}
diff --git a/sycl/test-e2e/AtomicRef/compare_exchange_local.cpp b/sycl/test-e2e/AtomicRef/compare_exchange_local.cpp
new file mode 100644
index 0000000000000..126cc7f291f96
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/compare_exchange_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "compare_exchange.h"
+
+int main() { compare_exchange_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_cuda_and_hip.cpp b/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_cuda_and_hip.cpp
new file mode 100644
index 0000000000000..1aa48eb675094
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_cuda_and_hip.cpp
@@ -0,0 +1,16 @@
+// REQUIRES: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <CL/sycl.hpp>
+#include <iostream>
+
+using namespace sycl;
+
+int main() {
+  queue Queue;
+  device Dev = Queue.get_device();
+  // cout in order to ensure that the query hasn't been optimized out
+  std::cout << Dev.has(aspect::atomic64) << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_level_zero.cpp b/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_level_zero.cpp
new file mode 100644
index 0000000000000..61c4ba8d1d5c1
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_level_zero.cpp
@@ -0,0 +1,25 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %level_zero_options
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <CL/sycl.hpp>
+#include <level_zero/ze_api.h>
+
+using namespace sycl;
+
+int main() {
+  queue Queue;
+  device Dev = Queue.get_device();
+  bool Result;
+  ze_device_module_properties_t Properties{};
+  zeDeviceGetModuleProperties(get_native<backend::ext_oneapi_level_zero>(Dev),
+                              &Properties);
+  if (Properties.flags & ZE_DEVICE_MODULE_FLAG_INT64_ATOMICS)
+    Result = true;
+  else
+    Result = false;
+  assert(Dev.has(aspect::atomic64) == Result &&
+         "The Result value differs from the implemented atomic64 check on "
+         "the L0 backend.");
+  return 0;
+}
diff --git a/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_opencl.cpp b/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_opencl.cpp
new file mode 100644
index 0000000000000..6b8fd12922092
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/device_has_aspect_atomic64_opencl.cpp
@@ -0,0 +1,39 @@
+// REQUIRES: opencl, opencl_icd
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// XFAIL: hip
+// Expected failure because hip does not have atomic64 check implementation
+
+#include <CL/cl.h>
+#include <CL/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Queue;
+  device Dev = Queue.get_device();
+  bool Result;
+  // Get size for string of extensions
+  size_t ExtSize;
+  clGetDeviceInfo(get_native<backend::opencl>(Dev), CL_DEVICE_EXTENSIONS, 0,
+                  nullptr, &ExtSize);
+  std::string ExtStr(ExtSize, '\0');
+
+  // Collect device extensions into string ExtStr
+  clGetDeviceInfo(get_native<backend::opencl>(Dev), CL_DEVICE_EXTENSIONS,
+                  ExtSize, &ExtStr.front(), nullptr);
+
+  // Check that ExtStr has two extensions related to atomic64 support
+  if (ExtStr.find("cl_khr_int64_base_atomics") == std::string::npos ||
+      ExtStr.find("cl_khr_int64_extended_atomics") == std::string::npos)
+    Result = false;
+  else
+    Result = true;
+  assert(Dev.has(aspect::atomic64) == Result &&
+         "The Result value differs from the implemented atomic64 check on "
+         "the OpenCL backend.");
+  return 0;
+}
diff --git a/sycl/test-e2e/AtomicRef/exchange.cpp b/sycl/test-e2e/AtomicRef/exchange.cpp
new file mode 100644
index 0000000000000..b20ea04e66f3e
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/exchange.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "exchange.h"
+
+int main() { exchange_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/exchange.h b/sycl/test-e2e/AtomicRef/exchange.h
new file mode 100644
index 0000000000000..ae7d182c86530
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/exchange.h
@@ -0,0 +1,196 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void exchange_local_test(queue q, size_t N) {
+  const T initial = T(N);
+  T cum = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = initial;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.exchange(T(gid), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           cum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // Only one work-item should have received the initial sentinel value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // All other values should be unique; each work-item replaces the value it
+  // reads with its own ID
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void exchange_global_test(queue q, size_t N) {
+  const T initial = T(N);
+  T exchange = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> exchange_buf(&exchange, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto exc =
+          exchange_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        size_t gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (exc[0]);
+        out[gid] = atm.exchange(T(gid), order);
+      });
+    });
+  }
+
+  // Only one work-item should have received the initial sentinel value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // All other values should be unique; each work-item replaces the value it
+  // reads with its own ID
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void exchange_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      exchange_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order,
+                          scope>(q, N);
+    }
+#else
+    exchange_local_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      exchange_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order,
+                           scope>(q, N);
+    }
+#else
+    exchange_global_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void exchange_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    exchange_test<space, T, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    exchange_test<space, T, order, memory_scope::sub_group>(q, N);
+  }
+  exchange_test<space, T, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T>
+void exchange_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    exchange_test_scopes<space, T, memory_order::acq_rel>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    exchange_test_scopes<space, T, memory_order::acquire>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    exchange_test_scopes<space, T, memory_order::release>(q, N);
+  }
+  exchange_test_scopes<space, T, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void exchange_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  exchange_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    exchange_test_orders_scopes<space, long>(q, N);
+    exchange_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    exchange_test_orders_scopes<space, long long>(q, N);
+    exchange_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+#endif
+  exchange_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  exchange_test_orders_scopes<space, int>(q, N);
+  exchange_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    exchange_test_orders_scopes<space, long>(q, N);
+    exchange_test_orders_scopes<space, unsigned long>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/exchange_generic.cpp b/sycl/test-e2e/AtomicRef/exchange_generic.cpp
new file mode 100644
index 0000000000000..8d0a4bfb4968e
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/exchange_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "exchange.h"
+
+int main() { exchange_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/exchange_generic_local.cpp b/sycl/test-e2e/AtomicRef/exchange_generic_local.cpp
new file mode 100644
index 0000000000000..e8efefcc1cfc8
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/exchange_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "exchange.h"
+
+int main() { exchange_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/exchange_local.cpp b/sycl/test-e2e/AtomicRef/exchange_local.cpp
new file mode 100644
index 0000000000000..a2ef577698e2b
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/exchange_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "exchange.h"
+
+int main() { exchange_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/load.cpp b/sycl/test-e2e/AtomicRef/load.cpp
new file mode 100644
index 0000000000000..edcf5594435d7
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/load.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "load.h"
+
+int main() { load_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/load.h b/sycl/test-e2e/AtomicRef/load.h
new file mode 100644
index 0000000000000..f40cd60fdd42b
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/load.h
@@ -0,0 +1,181 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void load_local_test(queue q, size_t N) {
+  T initial = T(42);
+  T load = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> load_buf(&load, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+       auto ld = load_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = initial;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef<T, memory_order::relaxed, scope, space>(loc[0]);
+         out[gid] = atm.load(order);
+       });
+     }).wait_and_throw();
+  }
+
+  // All work-items should read the same value
+  // Atomicity isn't tested here, but support for load() is
+  assert(std::all_of(output.begin(), output.end(),
+                     [&](T x) { return (x == initial); }));
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void load_global_test(queue q, size_t N) {
+  T initial = T(42);
+  T load = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> load_buf(&load, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto ld = load_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        size_t gid = it.get_id(0);
+        auto atm = AtomicRef<T, memory_order::relaxed, scope, space>(ld[0]);
+        out[gid] = atm.load(order);
+      });
+    });
+  }
+
+  // All work-items should read the same value
+  // Atomicity isn't tested here, but support for load() is
+  assert(std::all_of(output.begin(), output.end(),
+                     [&](T x) { return (x == initial); }));
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void load_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      load_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    load_local_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      load_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    load_global_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void load_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    load_test<space, T, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    load_test<space, T, order, memory_scope::sub_group>(q, N);
+  }
+  load_test<space, T, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T>
+void load_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    load_test_scopes<space, T, memory_order::acquire>(q, N);
+  }
+  load_test_scopes<space, T, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void load_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  if (!q.get_device().has(aspect::atomic64)) {
+    std::cout << "Skipping atomic64 tests\n";
+    return;
+  }
+
+  load_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    load_test_orders_scopes<space, long>(q, N);
+    load_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    load_test_orders_scopes<space, long long>(q, N);
+    load_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 8) {
+    load_test_orders_scopes<space, char *>(q, N);
+  }
+#endif
+  load_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  load_test_orders_scopes<space, int>(q, N);
+  load_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    load_test_orders_scopes<space, long>(q, N);
+    load_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 4) {
+    load_test_orders_scopes<space, char *>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/load_generic.cpp b/sycl/test-e2e/AtomicRef/load_generic.cpp
new file mode 100644
index 0000000000000..0b0227ce9b13b
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/load_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "load.h"
+
+int main() { load_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/load_generic_local.cpp b/sycl/test-e2e/AtomicRef/load_generic_local.cpp
new file mode 100755
index 0000000000000..4515154a9cdd6
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/load_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "load.h"
+
+int main() { load_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/load_local.cpp b/sycl/test-e2e/AtomicRef/load_local.cpp
new file mode 100755
index 0000000000000..f9a3c4060f807
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/load_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "load.h"
+
+int main() { load_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max.cpp b/sycl/test-e2e/AtomicRef/max.cpp
new file mode 100644
index 0000000000000..468037c0f6861
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max.h b/sycl/test-e2e/AtomicRef/max.h
new file mode 100644
index 0000000000000..0eed88cac666c
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max.h
@@ -0,0 +1,204 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void max_local_test(queue q, size_t N) {
+  T initial = std::numeric_limits<T>::lowest();
+  T cum = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = initial;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] =
+             atm.fetch_max(T(gid) + std::numeric_limits<T>::max() / 2, order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           cum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  assert(cum == N - 1 + std::numeric_limits<T>::max() / 2);
+
+  // Only one work-item should have received the initial value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // fetch_max returns original value
+  // Intermediate values should all be >= initial value
+  for (int i = 0; i < N; ++i) {
+    assert(output[i] >= initial);
+  }
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void max_global_test(queue q, size_t N) {
+  T initial = std::numeric_limits<T>::lowest();
+  T val = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), std::numeric_limits<T>::max());
+  {
+    buffer<T> val_buf(&val, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (val[0]);
+
+        // +max/2 to ensure correct signed/unsigned operation is applied
+        out[gid] =
+            atm.fetch_max(T(gid) + std::numeric_limits<T>::max() / 2, order);
+      });
+    });
+  }
+
+  assert(val == N - 1 + std::numeric_limits<T>::max() / 2);
+
+  // Only one work-item should have received the initial value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // fetch_max returns original value
+  // Intermediate values should all be >= initial value
+  for (int i = 0; i < N; ++i) {
+    assert(output[i] >= initial);
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void max_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      max_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    max_local_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      max_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    max_global_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void max_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    max_test<space, T, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    max_test<space, T, order, memory_scope::sub_group>(q, N);
+  }
+  max_test<space, T, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T>
+void max_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) ==
+      orders.end()) {
+    max_test_scopes<space, T, memory_order::acq_rel>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) ==
+      orders.end()) {
+    max_test_scopes<space, T, memory_order::acquire>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) ==
+      orders.end()) {
+    max_test_scopes<space, T, memory_order::release>(q, N);
+  }
+  max_test_scopes<space, T, memory_order::relaxed>(q, N);
+}
+template <access::address_space space> void max_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  max_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    max_test_orders_scopes<space, long>(q, N);
+    max_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    max_test_orders_scopes<space, long long>(q, N);
+    max_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+#endif
+  max_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  max_test_orders_scopes<space, int>(q, N);
+  max_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    max_test_orders_scopes<space, long>(q, N);
+    max_test_orders_scopes<space, unsigned long>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/max_generic.cpp b/sycl/test-e2e/AtomicRef/max_generic.cpp
new file mode 100644
index 0000000000000..be7ca91873c11
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max_generic_local.cpp b/sycl/test-e2e/AtomicRef/max_generic_local.cpp
new file mode 100644
index 0000000000000..5a4011e21651b
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max_generic_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/max_generic_local_native_fp.cpp
new file mode 100644
index 0000000000000..f5f59eadff82a
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_generic_local_native_fp.cpp
@@ -0,0 +1,12 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max_generic_native_fp.cpp b/sycl/test-e2e/AtomicRef/max_generic_native_fp.cpp
new file mode 100644
index 0000000000000..31d3ea8dcc949
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_generic_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max_local.cpp b/sycl/test-e2e/AtomicRef/max_local.cpp
new file mode 100644
index 0000000000000..c4844f64a6fa9
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/max_local_native_fp.cpp
new file mode 100644
index 0000000000000..dc48b69ec4497
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_local_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/max_native_fp.cpp b/sycl/test-e2e/AtomicRef/max_native_fp.cpp
new file mode 100644
index 0000000000000..2b57ced40db93
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/max_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "max.h"
+
+int main() { max_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min.cpp b/sycl/test-e2e/AtomicRef/min.cpp
new file mode 100644
index 0000000000000..1fff37f4f8399
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min.h b/sycl/test-e2e/AtomicRef/min.h
new file mode 100644
index 0000000000000..5b1ff078ba922
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min.h
@@ -0,0 +1,203 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void min_local_test(queue q, size_t N) {
+  T initial = std::numeric_limits<T>::max();
+  T cum = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = initial;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.fetch_min(T(gid), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           cum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // Final value should be equal to 0
+  assert(cum == 0);
+
+  // Only one work-item should have received the initial value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // fetch_min returns original value
+  // Intermediate values should all be <= initial value
+  for (int i = 0; i < N; ++i) {
+    assert(output[i] <= initial);
+  }
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void min_global_test(queue q, size_t N) {
+  T initial = std::numeric_limits<T>::max();
+  T val = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), 0);
+  {
+    buffer<T> val_buf(&val, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (val[0]);
+        out[gid] = atm.fetch_min(T(gid), order);
+      });
+    });
+  }
+
+  // Final value should be equal to 0
+  assert(val == 0);
+
+  // Only one work-item should have received the initial value
+  assert(std::count(output.begin(), output.end(), initial) == 1);
+
+  // fetch_min returns original value
+  // Intermediate values should all be <= initial value
+  for (int i = 0; i < N; ++i) {
+    assert(output[i] <= initial);
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void min_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      min_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    min_local_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      min_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    min_global_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void min_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    min_test<space, T, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    min_test<space, T, order, memory_scope::sub_group>(q, N);
+  }
+  min_test<space, T, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T>
+void min_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    min_test_scopes<space, T, memory_order::acq_rel>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    min_test_scopes<space, T, memory_order::acquire>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    min_test_scopes<space, T, memory_order::release>(q, N);
+  }
+  min_test_scopes<space, T, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void min_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  min_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    min_test_orders_scopes<space, long>(q, N);
+    min_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    min_test_orders_scopes<space, long long>(q, N);
+    min_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+#endif
+  min_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  min_test_orders_scopes<space, int>(q, N);
+  min_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    min_test_orders_scopes<space, long>(q, N);
+    min_test_orders_scopes<space, unsigned long>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/min_generic.cpp b/sycl/test-e2e/AtomicRef/min_generic.cpp
new file mode 100644
index 0000000000000..066a41077234c
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min_generic_local.cpp b/sycl/test-e2e/AtomicRef/min_generic_local.cpp
new file mode 100644
index 0000000000000..a258e75e4fe30
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min_generic_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/min_generic_local_native_fp.cpp
new file mode 100644
index 0000000000000..fdf3e9d950bed
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_generic_local_native_fp.cpp
@@ -0,0 +1,12 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min_generic_native_fp.cpp b/sycl/test-e2e/AtomicRef/min_generic_native_fp.cpp
new file mode 100644
index 0000000000000..257577a237212
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_generic_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min_local.cpp b/sycl/test-e2e/AtomicRef/min_local.cpp
new file mode 100644
index 0000000000000..17f2a072844a7
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/min_local_native_fp.cpp
new file mode 100644
index 0000000000000..a63eeaed397a6
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_local_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/min_native_fp.cpp b/sycl/test-e2e/AtomicRef/min_native_fp.cpp
new file mode 100644
index 0000000000000..bb4141f4ef187
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/min_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "min.h"
+
+int main() { min_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/or.cpp b/sycl/test-e2e/AtomicRef/or.cpp
new file mode 100644
index 0000000000000..aa58542297fe5
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/or.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "or.h"
+
+int main() { or_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/or.h b/sycl/test-e2e/AtomicRef/or.h
new file mode 100755
index 0000000000000..5395dba28dd78
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/or.h
@@ -0,0 +1,191 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void or_local_test(queue q) {
+  const size_t N = 32;
+  T cum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = 0;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.fetch_or(T(1ll << gid), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           cum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // Final value should be equal to N ones
+  assert(cum == T((1ll << N) - 1));
+
+  // All other values should be unique; each work-item sets one bit to 1
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void or_global_test(queue q) {
+  const size_t N = 32;
+  const T initial = 0;
+  T cum = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        size_t gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (cum[0]);
+        out[gid] = atm.fetch_or(T(1ll << gid), order);
+      });
+    });
+  }
+
+  // Final value should be equal to N ones
+  assert(cum == T((1ll << N) - 1));
+
+  // All other values should be unique; each work-item sets one bit to 1
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void or_test(queue q) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      or_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(q);
+    }
+#else
+    or_local_test<::sycl::atomic_ref, space, T, order, scope>(q);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      or_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q);
+    }
+#else
+    or_global_test<::sycl::atomic_ref, space, T, order, scope>(q);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void or_test_scopes(queue q) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    or_test<space, T, order, memory_scope::work_group>(q);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    or_test<space, T, order, memory_scope::sub_group>(q);
+  }
+  or_test<space, T, order, memory_scope::device>(q);
+}
+
+template <access::address_space space, typename T>
+void or_test_orders_scopes(queue q) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) ==
+      orders.end()) {
+    or_test_scopes<space, T, memory_order::acq_rel>(q);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) ==
+      orders.end()) {
+    or_test_scopes<space, T, memory_order::acquire>(q);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) ==
+      orders.end()) {
+    or_test_scopes<space, T, memory_order::release>(q);
+  }
+  or_test_scopes<space, T, memory_order::relaxed>(q);
+}
+
+template <access::address_space space> void or_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  if constexpr (sizeof(long) == 8) {
+    or_test_orders_scopes<space, long>(q);
+    or_test_orders_scopes<space, unsigned long>(q);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    or_test_orders_scopes<space, long long>(q);
+    or_test_orders_scopes<space, unsigned long long>(q);
+  }
+#endif
+  or_test_orders_scopes<space, int>(q);
+#ifdef FULL_ATOMIC32_COVERAGE
+  or_test_orders_scopes<space, unsigned int>(q);
+  if constexpr (sizeof(long) == 4) {
+    or_test_orders_scopes<space, long>(q);
+    or_test_orders_scopes<space, unsigned long>(q);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/or_generic.cpp b/sycl/test-e2e/AtomicRef/or_generic.cpp
new file mode 100644
index 0000000000000..73c636e0db191
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/or_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "or.h"
+
+int main() { or_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/or_generic_local.cpp b/sycl/test-e2e/AtomicRef/or_generic_local.cpp
new file mode 100644
index 0000000000000..ac1b194a33602
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/or_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "or.h"
+
+int main() { or_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/or_local.cpp b/sycl/test-e2e/AtomicRef/or_local.cpp
new file mode 100644
index 0000000000000..a2866a45bdc50
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/or_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "or.h"
+
+int main() { or_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/store.cpp b/sycl/test-e2e/AtomicRef/store.cpp
new file mode 100644
index 0000000000000..7c27c49534f5a
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/store.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "store.h"
+
+int main() { store_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/store.h b/sycl/test-e2e/AtomicRef/store.h
new file mode 100644
index 0000000000000..a2ea45aaab819
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/store.h
@@ -0,0 +1,173 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void store_global_test(queue q, size_t N) {
+  T initial = T(N);
+  T store = initial;
+  {
+    buffer<T> store_buf(&store, 1);
+    q.submit([&](handler &cgh) {
+      auto st = store_buf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        size_t gid = it.get_id(0);
+        auto atm = AtomicRef<T, memory_order::relaxed, scope, space>(st[0]);
+        atm.store(T(gid), order);
+      });
+    });
+  }
+
+  // The initial value should have been overwritten by a work-item ID
+  // Atomicity isn't tested here, but support for store() is
+  assert(store != initial);
+  assert(store >= T(0) && store <= T(N - 1));
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void store_local_test(queue q, size_t N) {
+  T initial = T(N);
+  T store = initial;
+  {
+    buffer<T> store_buf(&store, 1);
+    q.submit([&](handler &cgh) {
+      auto st = store_buf.template get_access<access::mode::read_write>(cgh);
+      local_accessor<T, 1> loc(1, cgh);
+      cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+        size_t gid = it.get_global_id(0);
+        auto atm = AtomicRef<T, memory_order::relaxed, scope, space>(loc[0]);
+        atm.store(T(gid), order);
+        it.barrier(access::fence_space::local_space);
+        if (gid == 0)
+          st[0] = loc[0];
+      });
+    });
+  }
+
+  // The initial value should have been overwritten by a work-item ID
+  // Atomicity isn't tested here, but support for store() is
+  assert(store != initial);
+  assert(store >= T(0) && store <= T(N - 1));
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void store_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      store_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q, N);
+    }
+#else
+    store_local_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      store_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order,
+                        scope>(q, N);
+    }
+#else
+    store_global_test<::sycl::atomic_ref, space, T, order, scope>(q, N);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void store_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::system) !=
+      scopes.end()) {
+    store_test<space, T, order, memory_scope::system>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    store_test<space, T, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    store_test<space, T, order, memory_scope::sub_group>(q, N);
+  }
+  store_test<space, T, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T>
+void store_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    store_test_scopes<space, T, memory_order::release>(q, N);
+  }
+  store_test_scopes<space, T, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void store_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  if (!q.get_device().has(aspect::atomic64)) {
+    std::cout << "Skipping test\n";
+    return;
+  }
+
+  store_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    store_test_orders_scopes<space, long>(q, N);
+    store_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    store_test_orders_scopes<space, long long>(q, N);
+    store_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 8) {
+    store_test_orders_scopes<space, char *>(q, N);
+  }
+#endif
+  store_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  store_test_orders_scopes<space, int>(q, N);
+  store_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    store_test_orders_scopes<space, long>(q, N);
+    store_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 4) {
+    store_test_orders_scopes<space, char *>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/store_generic.cpp b/sycl/test-e2e/AtomicRef/store_generic.cpp
new file mode 100644
index 0000000000000..00c367e9b81c8
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/store_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "store.h"
+
+int main() { store_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/store_generic_local.cpp b/sycl/test-e2e/AtomicRef/store_generic_local.cpp
new file mode 100755
index 0000000000000..918cd2941e50b
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/store_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "store.h"
+
+int main() { store_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/store_local.cpp b/sycl/test-e2e/AtomicRef/store_local.cpp
new file mode 100755
index 0000000000000..7509bf9c069b5
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/store_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "store.h"
+
+int main() { store_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub.cpp b/sycl/test-e2e/AtomicRef/sub.cpp
new file mode 100644
index 0000000000000..3517306044e96
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub.h b/sycl/test-e2e/AtomicRef/sub.h
new file mode 100644
index 0000000000000..2f0cab5f433a8
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub.h
@@ -0,0 +1,352 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void sub_fetch_local_test(queue q, size_t N) {
+  T sum = T(N);
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> sum_buf(&sum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto sum = sum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = T(N);
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.fetch_sub(Difference(1), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           sum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // All work-items decrement by 1, so final value should be equal to 0
+  assert(sum == T(0));
+
+  // Fetch returns original value: will be in [1, N]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(1) && *max_e == T(N));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void sub_fetch_test(queue q, size_t N) {
+  T val = T(N);
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> val_buf(&val, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (val[0]);
+        out[gid] = atm.fetch_sub(Difference(1), order);
+      });
+    });
+  }
+
+  // All work-items decrement by 1, so final value should be equal to 0
+  assert(val == T(0));
+
+  // Fetch returns original value: will be in [1, N]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(1) && *max_e == T(N));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void sub_minus_equal_test(queue q, size_t N) {
+  T val = T(N);
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> val_buf(&val, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (val[0]);
+        out[gid] = atm -= Difference(1);
+      });
+    });
+  }
+
+  // All work-items decrement by 1, so final value should be equal to 0
+  assert(val == T(0));
+
+  // -= returns updated value: will be in [0, N-1]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(0) && *max_e == T(N - 1));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void sub_pre_dec_test(queue q, size_t N) {
+  T val = T(N);
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> val_buf(&val, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (val[0]);
+        out[gid] = --atm;
+      });
+    });
+  }
+
+  // All work-items decrement by 1, so final value should be equal to 0
+  assert(val == T(0));
+
+  // Pre-decrement returns updated value: will be in [0, N-1]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(0) && *max_e == T(N - 1));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void sub_post_dec_test(queue q, size_t N) {
+  T val = T(N);
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> val_buf(&val, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto val = val_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        int gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (val[0]);
+        out[gid] = atm--;
+      });
+    });
+  }
+
+  // All work-items decrement by 1, so final value should be equal to 0
+  assert(val == T(0));
+
+  // Post-decrement returns original value: will be in [1, N]
+  auto min_e = std::min_element(output.begin(), output.end());
+  auto max_e = std::max_element(output.begin(), output.end());
+  assert(*min_e == T(1) && *max_e == T(N));
+
+  // Intermediate values should be unique
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void sub_test(queue q, size_t N) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      sub_fetch_local_test<::sycl::ext::oneapi::atomic_ref, space, T,
+                           Difference, order, scope>(q, N);
+    }
+#else
+    sub_fetch_local_test<::sycl::atomic_ref, space, T, Difference, order,
+                         scope>(q, N);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      sub_fetch_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                     order, scope>(q, N);
+      sub_minus_equal_test<::sycl::ext::oneapi::atomic_ref, space, T,
+                           Difference, order, scope>(q, N);
+      if constexpr (!std::is_floating_point_v<T>) {
+        sub_pre_dec_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                         order, scope>(q, N);
+        sub_post_dec_test<::sycl::ext::oneapi::atomic_ref, space, T, Difference,
+                          order, scope>(q, N);
+      }
+    }
+#else
+    sub_fetch_test<::sycl::atomic_ref, space, T, Difference, order, scope>(q,
+                                                                           N);
+    sub_minus_equal_test<::sycl::atomic_ref, space, T, Difference, order,
+                         scope>(q, N);
+    if constexpr (!std::is_floating_point_v<T>) {
+      sub_pre_dec_test<::sycl::atomic_ref, space, T, Difference, order, scope>(
+          q, N);
+      sub_post_dec_test<::sycl::atomic_ref, space, T, Difference, order, scope>(
+          q, N);
+    }
+#endif
+  }
+}
+
+template <access::address_space space, typename T, typename Difference = T,
+          memory_order order = memory_order::relaxed>
+void sub_test_scopes(queue q, size_t N) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    sub_test<space, T, Difference, order, memory_scope::work_group>(q, N);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    sub_test<space, T, Difference, order, memory_scope::sub_group>(q, N);
+  }
+  sub_test<space, T, Difference, order, memory_scope::device>(q, N);
+}
+
+template <access::address_space space, typename T, typename Difference = T>
+void sub_test_orders_scopes(queue q, size_t N) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    sub_test_scopes<space, T, Difference, memory_order::acq_rel>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    sub_test_scopes<space, T, Difference, memory_order::acquire>(q, N);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    sub_test_scopes<space, T, Difference, memory_order::release>(q, N);
+  }
+  sub_test_scopes<space, T, Difference, memory_order::relaxed>(q, N);
+}
+
+template <access::address_space space> void sub_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  sub_test_orders_scopes<space, double>(q, N);
+  if constexpr (sizeof(long) == 8) {
+    sub_test_orders_scopes<space, long>(q, N);
+    sub_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    sub_test_orders_scopes<space, long long>(q, N);
+    sub_test_orders_scopes<space, unsigned long long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 8) {
+    sub_test_orders_scopes<space, char *, ptrdiff_t>(q, N);
+  }
+#endif
+  sub_test_orders_scopes<space, float>(q, N);
+#ifdef FULL_ATOMIC32_COVERAGE
+  sub_test_orders_scopes<space, int>(q, N);
+  sub_test_orders_scopes<space, unsigned int>(q, N);
+  if constexpr (sizeof(long) == 4) {
+    sub_test_orders_scopes<space, long>(q, N);
+    sub_test_orders_scopes<space, unsigned long>(q, N);
+  }
+  if constexpr (sizeof(char *) == 4) {
+    sub_test_orders_scopes<space, char *, ptrdiff_t>(q, N);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/sub_generic.cpp b/sycl/test-e2e/AtomicRef/sub_generic.cpp
new file mode 100644
index 0000000000000..880d6710e18e9
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub_generic_local.cpp b/sycl/test-e2e/AtomicRef/sub_generic_local.cpp
new file mode 100644
index 0000000000000..758f0e5a0b075
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_generic_local.cpp
@@ -0,0 +1,9 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub_generic_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/sub_generic_local_native_fp.cpp
new file mode 100644
index 0000000000000..b7c5185074344
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_generic_local_native_fp.cpp
@@ -0,0 +1,12 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub_generic_native_fp.cpp b/sycl/test-e2e/AtomicRef/sub_generic_native_fp.cpp
new file mode 100644
index 0000000000000..13feb971d28ff
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_generic_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub_local.cpp b/sycl/test-e2e/AtomicRef/sub_local.cpp
new file mode 100644
index 0000000000000..7b416bf722dbc
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub_local_native_fp.cpp b/sycl/test-e2e/AtomicRef/sub_local_native_fp.cpp
new file mode 100644
index 0000000000000..0cc6bfac98f6b
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_local_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/sub_native_fp.cpp b/sycl/test-e2e/AtomicRef/sub_native_fp.cpp
new file mode 100644
index 0000000000000..72b1b1a24c257
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/sub_native_fp.cpp
@@ -0,0 +1,11 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define SYCL_USE_NATIVE_FP_ATOMICS
+#define FP_TESTS_ONLY
+
+#include "sub.h"
+
+int main() { sub_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/xor.cpp b/sycl/test-e2e/AtomicRef/xor.cpp
new file mode 100644
index 0000000000000..c4908442ec4da
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/xor.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "xor.h"
+
+int main() { xor_test_all<access::address_space::global_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/xor.h b/sycl/test-e2e/AtomicRef/xor.h
new file mode 100755
index 0000000000000..0d64dab8785d3
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/xor.h
@@ -0,0 +1,192 @@
+#pragma once
+
+#ifndef TEST_GENERIC_IN_LOCAL
+#define TEST_GENERIC_IN_LOCAL 0
+#endif
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void xor_local_test(queue q) {
+  const size_t N = 32;
+  T cum = 0;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(123456));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+       auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+       auto out =
+           output_buf.template get_access<access::mode::discard_write>(cgh);
+       local_accessor<T, 1> loc(1, cgh);
+
+       cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> it) {
+         int gid = it.get_global_id(0);
+         if (gid == 0)
+           loc[0] = 0;
+         it.barrier(access::fence_space::local_space);
+         auto atm = AtomicRef < T,
+              (order == memory_order::acquire || order == memory_order::release)
+                  ? memory_order::relaxed
+                  : order,
+              scope, space > (loc[0]);
+         out[gid] = atm.fetch_xor(T(1ll << gid), order);
+         it.barrier(access::fence_space::local_space);
+         if (gid == 0)
+           cum[0] = loc[0];
+       });
+     }).wait_and_throw();
+  }
+
+  // Final value should be equal to N ones
+  assert(cum == T((1ll << N) - 1));
+
+  // All other values should be unique; each wxork-item sets one bit to 1
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <template <typename, memory_order, memory_scope, access::address_space>
+          class AtomicRef,
+          access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void xor_global_test(queue q) {
+  const size_t N = 32;
+  const T initial = 0;
+  T cum = initial;
+  std::vector<T> output(N);
+  std::fill(output.begin(), output.end(), T(0));
+  {
+    buffer<T> cum_buf(&cum, 1);
+    buffer<T> output_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto cum = cum_buf.template get_access<access::mode::read_write>(cgh);
+      auto out =
+          output_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for(range<1>(N), [=](item<1> it) {
+        size_t gid = it.get_id(0);
+        auto atm = AtomicRef < T,
+             (order == memory_order::acquire || order == memory_order::release)
+                 ? memory_order::relaxed
+                 : order,
+             scope, space > (cum[0]);
+        out[gid] = atm.fetch_xor(T(1ll << gid), order);
+      });
+    });
+  }
+
+  // Final value should be equal to N ones
+  assert(cum == T((1ll << N) - 1));
+
+  // All other values should be unique; each wxork-item sets one bit to 1
+  std::sort(output.begin(), output.end());
+  assert(std::unique(output.begin(), output.end()) == output.end());
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed,
+          memory_scope scope = memory_scope::device>
+void xor_test(queue q) {
+  constexpr bool do_local_tests =
+      space == access::address_space::local_space ||
+      (space == access::address_space::generic_space && TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_global_tests =
+      space == access::address_space::global_space ||
+      (space == access::address_space::generic_space && !TEST_GENERIC_IN_LOCAL);
+  constexpr bool do_ext_tests = space != access::address_space::generic_space;
+  if constexpr (do_local_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      xor_local_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q);
+    }
+#else
+    xor_local_test<::sycl::atomic_ref, space, T, order, scope>(q);
+#endif
+  }
+  if constexpr (do_global_tests) {
+#ifdef RUN_DEPRECATED
+    if constexpr (do_ext_tests) {
+      xor_global_test<::sycl::ext::oneapi::atomic_ref, space, T, order, scope>(
+          q);
+    }
+#else
+    xor_global_test<::sycl::atomic_ref, space, T, order, scope>(q);
+#endif
+  }
+}
+
+template <access::address_space space, typename T,
+          memory_order order = memory_order::relaxed>
+void xor_test_scopes(queue q) {
+  std::vector<memory_scope> scopes =
+      q.get_device().get_info<info::device::atomic_memory_scope_capabilities>();
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::work_group) !=
+      scopes.end()) {
+    xor_test<space, T, order, memory_scope::work_group>(q);
+  }
+  if (std::find(scopes.begin(), scopes.end(), memory_scope::sub_group) !=
+      scopes.end()) {
+    xor_test<space, T, order, memory_scope::sub_group>(q);
+  }
+  xor_test<space, T, order, memory_scope::device>(q);
+}
+
+template <access::address_space space, typename T>
+void xor_test_orders_scopes(queue q) {
+  std::vector<memory_order> orders =
+      q.get_device().get_info<info::device::atomic_memory_order_capabilities>();
+  if (std::find(orders.begin(), orders.end(), memory_order::acq_rel) !=
+      orders.end()) {
+    xor_test_scopes<space, T, memory_order::acq_rel>(q);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::acquire) !=
+      orders.end()) {
+    xor_test_scopes<space, T, memory_order::acquire>(q);
+  }
+  if (std::find(orders.begin(), orders.end(), memory_order::release) !=
+      orders.end()) {
+    xor_test_scopes<space, T, memory_order::release>(q);
+  }
+  xor_test_scopes<space, T, memory_order::relaxed>(q);
+}
+
+template <access::address_space space> void xor_test_all() {
+  queue q;
+
+  constexpr int N = 32;
+#ifdef FULL_ATOMIC64_COVERAGE
+  if constexpr (sizeof(long) == 8) {
+    xor_test_orders_scopes<space, long>(q);
+    xor_test_orders_scopes<space, unsigned long>(q);
+  }
+  if constexpr (sizeof(long long) == 8) {
+    xor_test_orders_scopes<space, long long>(q);
+    xor_test_orders_scopes<space, unsigned long long>(q);
+  }
+#endif
+  xor_test_orders_scopes<space, int>(q);
+#ifdef FULL_ATOMIC32_COVERAGE
+  xor_test_orders_scopes<space, unsigned int>(q);
+  if constexpr (sizeof(long) == 4) {
+    xor_test_orders_scopes<space, long>(q);
+    xor_test_orders_scopes<space, unsigned long>(q);
+  }
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/AtomicRef/xor_generic.cpp b/sycl/test-e2e/AtomicRef/xor_generic.cpp
new file mode 100644
index 0000000000000..99961705e5cde
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/xor_generic.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "xor.h"
+
+int main() { xor_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/xor_generic_local.cpp b/sycl/test-e2e/AtomicRef/xor_generic_local.cpp
new file mode 100644
index 0000000000000..ebc000dd70871
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/xor_generic_local.cpp
@@ -0,0 +1,10 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#define TEST_GENERIC_IN_LOCAL 1
+
+#include "xor.h"
+
+int main() { xor_test_all<access::address_space::generic_space>(); }
diff --git a/sycl/test-e2e/AtomicRef/xor_local.cpp b/sycl/test-e2e/AtomicRef/xor_local.cpp
new file mode 100644
index 0000000000000..4131f016598a3
--- /dev/null
+++ b/sycl/test-e2e/AtomicRef/xor_local.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "xor.h"
+
+int main() { xor_test_all<access::address_space::local_space>(); }
diff --git a/sycl/test-e2e/BFloat16/bfloat16_builtins.cpp b/sycl/test-e2e/BFloat16/bfloat16_builtins.cpp
new file mode 100644
index 0000000000000..92f5d625a8016
--- /dev/null
+++ b/sycl/test-e2e/BFloat16/bfloat16_builtins.cpp
@@ -0,0 +1,252 @@
+// REQUIRES: cuda
+//
+// Currently this test fails to compile for backends other than cuda.
+// Other backends could use this test when bfloat16 math function support is
+// added.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend --cuda-gpu-arch=sm_80
+// RUN: %t.out
+#include <sycl/sycl.hpp>
+
+#include <cmath>
+#include <vector>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental;
+
+constexpr int N = 60; // divisible by all tested array sizes
+constexpr float bf16_eps = 0.00390625;
+
+float make_fp32(uint16_t x) {
+  uint32_t y = x;
+  y = y << 16;
+  auto res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+bool check(float a, float b) {
+  return fabs(2 * (a - b) / (a + b)) > bf16_eps * 2;
+}
+
+bool check(bool a, bool b) { return (a != b); }
+
+#define TEST_BUILTIN_1_SCAL_IMPL(NAME)                                         \
+  {                                                                            \
+    buffer<float> a_buf(&a[0], N);                                             \
+    buffer<int> err_buf(&err, 1);                                              \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<float, 1, access::mode::read_write, target::device> A(a_buf,    \
+                                                                     cgh);     \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      cgh.parallel_for(N, [=](id<1> index) {                                   \
+        if (check(NAME(bfloat16{A[index]}), NAME(A[index]))) {                 \
+          ERR[0] = 1;                                                          \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);
+
+#define TEST_BUILTIN_1_ARR_IMPL(NAME, SZ, RETTY)                               \
+  {                                                                            \
+    buffer<float, 2> a_buf{range<2>{N / SZ, SZ}};                              \
+    buffer<int> err_buf(&err, 1);                                              \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<float, 2, access::mode::read_write, target::device> A(a_buf,    \
+                                                                     cgh);     \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      cgh.parallel_for(N / SZ, [=](id<1> index) {                              \
+        marray<bfloat16, SZ> arg;                                              \
+        for (int i = 0; i < SZ; i++) {                                         \
+          arg[i] = A[index][i];                                                \
+        }                                                                      \
+        marray<RETTY, SZ> res = NAME(arg);                                     \
+        for (int i = 0; i < SZ; i++) {                                         \
+          if (check(res[i], NAME(A[index][i]))) {                              \
+            ERR[0] = 1;                                                        \
+          }                                                                    \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);
+
+#define TEST_BUILTIN_1(NAME, RETTY)                                            \
+  TEST_BUILTIN_1_SCAL_IMPL(NAME)                                               \
+  TEST_BUILTIN_1_ARR_IMPL(NAME, 1, RETTY)                                      \
+  TEST_BUILTIN_1_ARR_IMPL(NAME, 2, RETTY)                                      \
+  TEST_BUILTIN_1_ARR_IMPL(NAME, 3, RETTY)                                      \
+  TEST_BUILTIN_1_ARR_IMPL(NAME, 4, RETTY)                                      \
+  TEST_BUILTIN_1_ARR_IMPL(NAME, 5, RETTY)
+
+#define TEST_BUILTIN_2_SCAL_IMPL(NAME)                                         \
+  {                                                                            \
+    buffer<float> a_buf(&a[0], N);                                             \
+    buffer<float> b_buf(&b[0], N);                                             \
+    buffer<int> err_buf(&err, 1);                                              \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<float, 1, access::mode::read_write, target::device> A(a_buf,    \
+                                                                     cgh);     \
+      accessor<float, 1, access::mode::read_write, target::device> B(b_buf,    \
+                                                                     cgh);     \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      cgh.parallel_for(N, [=](id<1> index) {                                   \
+        if (check(NAME(bfloat16{A[index]}, bfloat16{B[index]}),                \
+                  NAME(A[index], B[index]))) {                                 \
+          ERR[0] = 1;                                                          \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);
+
+#define TEST_BUILTIN_2_ARR_IMPL(NAME, SZ)                                      \
+  {                                                                            \
+    buffer<float, 2> a_buf{range<2>{N / SZ, SZ}};                              \
+    buffer<float, 2> b_buf{range<2>{N / SZ, SZ}};                              \
+    buffer<int> err_buf(&err, 1);                                              \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<float, 2, access::mode::read_write, target::device> A(a_buf,    \
+                                                                     cgh);     \
+      accessor<float, 2, access::mode::read_write, target::device> B(b_buf,    \
+                                                                     cgh);     \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      cgh.parallel_for(N / SZ, [=](id<1> index) {                              \
+        marray<bfloat16, SZ> arg0, arg1;                                       \
+        for (int i = 0; i < SZ; i++) {                                         \
+          arg0[i] = A[index][i];                                               \
+          arg1[i] = B[index][i];                                               \
+        }                                                                      \
+        marray<bfloat16, SZ> res = NAME(arg0, arg1);                           \
+        for (int i = 0; i < SZ; i++) {                                         \
+          if (check(res[i], NAME(A[index][i], B[index][i]))) {                 \
+            ERR[0] = 1;                                                        \
+          }                                                                    \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);
+
+#define TEST_BUILTIN_2(NAME)                                                   \
+  TEST_BUILTIN_2_SCAL_IMPL(NAME)                                               \
+  TEST_BUILTIN_2_ARR_IMPL(NAME, 1)                                             \
+  TEST_BUILTIN_2_ARR_IMPL(NAME, 2)                                             \
+  TEST_BUILTIN_2_ARR_IMPL(NAME, 3)                                             \
+  TEST_BUILTIN_2_ARR_IMPL(NAME, 4)                                             \
+  TEST_BUILTIN_2_ARR_IMPL(NAME, 5)
+
+#define TEST_BUILTIN_3_SCAL_IMPL(NAME)                                         \
+  {                                                                            \
+    buffer<float> a_buf(&a[0], N);                                             \
+    buffer<float> b_buf(&b[0], N);                                             \
+    buffer<float> c_buf(&c[0], N);                                             \
+    buffer<int> err_buf(&err, 1);                                              \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<float, 1, access::mode::read_write, target::device> A(a_buf,    \
+                                                                     cgh);     \
+      accessor<float, 1, access::mode::read_write, target::device> B(b_buf,    \
+                                                                     cgh);     \
+      accessor<float, 1, access::mode::read_write, target::device> C(c_buf,    \
+                                                                     cgh);     \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      cgh.parallel_for(N, [=](id<1> index) {                                   \
+        if (check(NAME(bfloat16{A[index]}, bfloat16{B[index]},                 \
+                       bfloat16{C[index]}),                                    \
+                  NAME(A[index], B[index], C[index]))) {                       \
+          ERR[0] = 1;                                                          \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);
+
+#define TEST_BUILTIN_3_ARR_IMPL(NAME, SZ)                                      \
+  {                                                                            \
+    buffer<float, 2> a_buf{range<2>{N / SZ, SZ}};                              \
+    buffer<float, 2> b_buf{range<2>{N / SZ, SZ}};                              \
+    buffer<float, 2> c_buf{range<2>{N / SZ, SZ}};                              \
+    buffer<int> err_buf(&err, 1);                                              \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<float, 2, access::mode::read_write, target::device> A(a_buf,    \
+                                                                     cgh);     \
+      accessor<float, 2, access::mode::read_write, target::device> B(b_buf,    \
+                                                                     cgh);     \
+      accessor<float, 2, access::mode::read_write, target::device> C(c_buf,    \
+                                                                     cgh);     \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      cgh.parallel_for(N / SZ, [=](id<1> index) {                              \
+        marray<bfloat16, SZ> arg0, arg1, arg2;                                 \
+        for (int i = 0; i < SZ; i++) {                                         \
+          arg0[i] = A[index][i];                                               \
+          arg1[i] = B[index][i];                                               \
+          arg2[i] = C[index][i];                                               \
+        }                                                                      \
+        marray<bfloat16, SZ> res = NAME(arg0, arg1, arg2);                     \
+        for (int i = 0; i < SZ; i++) {                                         \
+          if (check(res[i], NAME(A[index][i], B[index][i], C[index][i]))) {    \
+            ERR[0] = 1;                                                        \
+          }                                                                    \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);
+
+#define TEST_BUILTIN_3(NAME)                                                   \
+  TEST_BUILTIN_3_SCAL_IMPL(NAME)                                               \
+  TEST_BUILTIN_3_ARR_IMPL(NAME, 1)                                             \
+  TEST_BUILTIN_3_ARR_IMPL(NAME, 2)                                             \
+  TEST_BUILTIN_3_ARR_IMPL(NAME, 3)                                             \
+  TEST_BUILTIN_3_ARR_IMPL(NAME, 4)                                             \
+  TEST_BUILTIN_3_ARR_IMPL(NAME, 5)
+
+#define TEST_BUILTIN_2_NAN(NAME)                                               \
+  {                                                                            \
+    buffer<int> err_buf(&err, 1);                                              \
+    buffer<float> nan_buf(&check_nan, 1);                                      \
+    q.submit([&](handler &cgh) {                                               \
+      accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh); \
+      accessor<float, 1, access::mode::write, target::device> checkNAN(        \
+          nan_buf, cgh);                                                       \
+      cgh.single_task([=]() {                                                  \
+        checkNAN[0] = NAME(bfloat16{NAN}, bfloat16{NAN});                      \
+        if ((NAME(bfloat16{2}, bfloat16{NAN}) != 2) ||                         \
+            (NAME(bfloat16{NAN}, bfloat16{2}) != 2)) {                         \
+          ERR[0] = 1;                                                          \
+        }                                                                      \
+      });                                                                      \
+    });                                                                        \
+  }                                                                            \
+  assert(err == 0);                                                            \
+  assert(std::isnan(check_nan));
+
+int main() {
+  queue q;
+
+  if (q.get_device().has(aspect::ext_oneapi_bfloat16_math_functions)) {
+    std::vector<float> a(N), b(N), c(N);
+    int err = 0;
+
+    for (int i = 0; i < N; i++) {
+      a[i] = (i - N / 2) / (float)N;
+      b[i] = (N / 2 - i) / (float)N;
+      c[i] = (float)(3 * i);
+    }
+
+    TEST_BUILTIN_1(fabs, bfloat16);
+    TEST_BUILTIN_2(fmin);
+    TEST_BUILTIN_2(fmax);
+    TEST_BUILTIN_3(fma);
+
+    float check_nan = 0;
+    TEST_BUILTIN_2_NAN(fmin);
+    TEST_BUILTIN_2_NAN(fmax);
+
+    // Insert NAN value in a to test isnan
+    a[0] = a[N - 1] = NAN;
+    TEST_BUILTIN_1(isnan, bool);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/BFloat16/bfloat16_conversions.cpp b/sycl/test-e2e/BFloat16/bfloat16_conversions.cpp
new file mode 100755
index 0000000000000..ed5d7ae583a09
--- /dev/null
+++ b/sycl/test-e2e/BFloat16/bfloat16_conversions.cpp
@@ -0,0 +1,70 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// Currently the feature is supported only on CPU and GPU, natively or by
+// software emulation.
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- bfloat16_conversions.cpp - SYCL bfloat16 type test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===---------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T> T calculate(T a, T b) {
+  sycl::ext::oneapi::bfloat16 x = -a;
+  sycl::ext::oneapi::bfloat16 y = b;
+  sycl::ext::oneapi::bfloat16 z = x + y;
+  T result = z;
+  return result;
+}
+
+template <typename T> int test_device(queue Q) {
+  T data[3] = {-7.0f, 8.1f, 0.0f};
+
+  buffer<T, 1> buf{data, 3};
+  Q.submit([&](handler &cgh) {
+    accessor numbers{buf, cgh, read_write};
+    cgh.single_task([=]() { numbers[2] = calculate(numbers[0], numbers[1]); });
+  });
+
+  host_accessor hostOutAcc{buf, read_only};
+  std::cout << "Device Result = " << hostOutAcc[2] << std::endl;
+  if (hostOutAcc[2] == 15.125f)
+    return 0;
+  return 1;
+}
+
+template <typename T> int test_host() {
+  T a{-5.6f};
+  T b{-1.1f};
+  T result = calculate(a, b);
+  std::cout << "Host Result = " << result << std::endl;
+  if (result == 4.5f)
+    return 0;
+  return 1;
+}
+
+int main() {
+  queue Q;
+  int result;
+  result = test_host<sycl::half>();
+  result |= test_host<float>();
+  if (Q.get_device().has(aspect::fp16))
+    result |= test_device<sycl::half>(Q);
+  result |= test_device<float>(Q);
+  if (result)
+    std::cout << "FAIL\n";
+  else
+    std::cout << "PASS\n";
+
+  return result;
+}
diff --git a/sycl/test-e2e/BFloat16/bfloat16_example.cpp b/sycl/test-e2e/BFloat16/bfloat16_example.cpp
new file mode 100755
index 0000000000000..fab3795679b9d
--- /dev/null
+++ b/sycl/test-e2e/BFloat16/bfloat16_example.cpp
@@ -0,0 +1,83 @@
+///
+/// Check if bfloat16 example works using fallback libraries
+///
+
+// REQUIRES: opencl-aot, ocloc, cpu, gpu-intel-gen9
+// UNSUPPORTED: cuda
+// CUDA is not compatible with SPIR.
+
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64 %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_gen -Xsycl-target-backend "-device gen9" %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_gen -Xsycl-target-backend "-device *" %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64,spir64_gen -Xsycl-target-backend=spir64_gen "-device gen9" %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64,spir64_gen -Xsycl-target-backend=spir64_gen "-device gen9" %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64,spir64_gen -Xsycl-target-backend=spir64_gen "-device pvc" %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64,spir64_gen -Xsycl-target-backend=spir64_gen "-device pvc" %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using sycl::ext::oneapi::bfloat16;
+
+float foo(float a, float b) {
+  // Convert from float to bfloat16.
+  bfloat16 A{a};
+  bfloat16 B{b};
+
+  // Convert A and B from bfloat16 to float, do addition on floating-point
+  // numbers, then convert the result to bfloat16 and store it in C.
+  bfloat16 C = A + B;
+
+  // Return the result converted from bfloat16 to float.
+  return C;
+}
+
+int main(int argc, char *argv[]) {
+  float data[3] = {7.0f, 8.1f, 0.0f};
+
+  float result_host = foo(7.0f, 8.1f);
+  std::cout << "CPU Result = " << result_host << std::endl;
+  if (std::abs(15.1f - result_host) > 0.1f) {
+    std::cout << "Test failed. Expected CPU Result ~= 15.1" << std::endl;
+    return 1;
+  }
+
+  queue deviceQueue;
+  buffer<float, 1> buf{data, 3};
+
+  deviceQueue.submit([&](handler &cgh) {
+    accessor numbers{buf, cgh, read_write};
+    cgh.single_task([=]() { numbers[2] = foo(numbers[0], numbers[1]); });
+  });
+
+  host_accessor hostOutAcc{buf, read_only};
+  float result_device = hostOutAcc[2];
+  std::cout << "GPU Result = " << result_device << std::endl;
+  if (std::abs(result_host - result_device) > 0.1f) {
+    std::cout << "Test failed. CPU Result !~= GPU result" << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/BFloat16/bfloat16_type.cpp b/sycl/test-e2e/BFloat16/bfloat16_type.cpp
new file mode 100644
index 0000000000000..9aae326db8baf
--- /dev/null
+++ b/sycl/test-e2e/BFloat16/bfloat16_type.cpp
@@ -0,0 +1,40 @@
+// RUN: %if cuda %{%clangxx -fsycl -fsycl-targets=%sycl_triple -DUSE_CUDA_SM80=1 -Xsycl-target-backend --cuda-gpu-arch=sm_80 %s -o %t.out %}
+// RUN: %if cuda %{%GPU_RUN_PLACEHOLDER %t.out %}
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// TODO currently the feature isn't supported on FPGA.
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Not currently supported on HIP.
+// UNSUPPORTED: hip
+
+//==----------- bfloat16_type.cpp - SYCL bfloat16 type test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "bfloat16_type.hpp"
+
+int main() {
+
+#ifdef USE_CUDA_SM80
+  // Special build for SM80 CUDA.
+  sycl::device Dev{default_selector_v};
+  if (Dev.get_platform().get_backend() != backend::ext_oneapi_cuda) {
+    std::cout << "Test skipped; CUDA run was not run with CUDA device."
+              << std::endl;
+    return 0;
+  }
+  if (std::stof(Dev.get_info<sycl::info::device::backend_version>()) < 8.0f) {
+    std::cout << "Test skipped; CUDA device does not support SM80 or newer."
+              << std::endl;
+    return 0;
+  }
+#endif
+
+  return run_tests();
+}
diff --git a/sycl/test-e2e/BFloat16/bfloat16_type.hpp b/sycl/test-e2e/BFloat16/bfloat16_type.hpp
new file mode 100644
index 0000000000000..570755bf677af
--- /dev/null
+++ b/sycl/test-e2e/BFloat16/bfloat16_type.hpp
@@ -0,0 +1,218 @@
+#include <iostream>
+#include <sycl/ext/oneapi/bfloat16.hpp>
+#include <sycl/sycl.hpp>
+
+#include <cmath>
+
+using namespace sycl;
+
+constexpr size_t N = 100;
+
+template <typename T> void assert_close(const T &C, const float ref) {
+  for (size_t i = 0; i < N; i++) {
+    auto diff = C[i] - ref;
+    assert(std::fabs(static_cast<float>(diff)) < 0.1);
+  }
+}
+
+void verify_conv_implicit(queue &q, buffer<float, 1> &a, range<1> &r,
+                          const float ref) {
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read_write>(cgh);
+    cgh.parallel_for<class calc_conv>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      A[index] = AVal;
+    });
+  });
+
+  assert_close(a.get_access<access::mode::read>(), ref);
+}
+
+void verify_conv_explicit(queue &q, buffer<float, 1> &a, range<1> &r,
+                          const float ref) {
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read_write>(cgh);
+    cgh.parallel_for<class calc_conv_impl>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal = A[index];
+      A[index] = float(AVal);
+    });
+  });
+
+  assert_close(a.get_access<access::mode::read>(), ref);
+}
+
+void verify_add(queue &q, buffer<float, 1> &a, buffer<float, 1> &b, range<1> &r,
+                const float ref) {
+  buffer<float, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_add_expl>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      sycl::ext::oneapi::bfloat16 BVal{B[index]};
+      sycl::ext::oneapi::bfloat16 CVal = AVal + BVal;
+      C[index] = CVal;
+    });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_sub(queue &q, buffer<float, 1> &a, buffer<float, 1> &b, range<1> &r,
+                const float ref) {
+  buffer<float, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_sub>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      sycl::ext::oneapi::bfloat16 BVal{B[index]};
+      sycl::ext::oneapi::bfloat16 CVal = AVal - BVal;
+      C[index] = CVal;
+    });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_minus(queue &q, buffer<float, 1> &a, range<1> &r, const float ref) {
+  buffer<float, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_minus>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      sycl::ext::oneapi::bfloat16 CVal = -AVal;
+      C[index] = CVal;
+    });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_mul(queue &q, buffer<float, 1> &a, buffer<float, 1> &b, range<1> &r,
+                const float ref) {
+  buffer<float, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_mul>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      sycl::ext::oneapi::bfloat16 BVal{B[index]};
+      sycl::ext::oneapi::bfloat16 CVal = AVal * BVal;
+      C[index] = CVal;
+    });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_div(queue &q, buffer<float, 1> &a, buffer<float, 1> &b, range<1> &r,
+                const float ref) {
+  buffer<float, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_div>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      sycl::ext::oneapi::bfloat16 BVal{B[index]};
+      sycl::ext::oneapi::bfloat16 CVal = AVal / BVal;
+      C[index] = CVal;
+    });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_logic(queue &q, buffer<float, 1> &a, buffer<float, 1> &b,
+                  range<1> &r, const float ref) {
+  buffer<float, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class logic>(r, [=](id<1> index) {
+      sycl::ext::oneapi::bfloat16 AVal{A[index]};
+      sycl::ext::oneapi::bfloat16 BVal{B[index]};
+      if (AVal) {
+        if (AVal > BVal || AVal >= BVal || AVal < BVal || AVal <= BVal ||
+            !BVal) {
+          sycl::ext::oneapi::bfloat16 CVal = AVal != BVal ? AVal : BVal;
+          CVal--;
+          CVal++;
+          if (AVal == BVal) {
+            CVal -= AVal;
+            CVal *= 3.0f;
+            CVal /= 2.0f;
+          } else
+            CVal += BVal;
+          C[index] = CVal;
+        }
+      }
+    });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+int run_tests() {
+  device dev{default_selector_v};
+
+  // TODO: replace is_gpu check with extension check when the appropriate part
+  // of implementation ready (aspect)
+  if (!dev.is_gpu() && !dev.is_cpu()) {
+    std::cout << "This device doesn't support bfloat16 conversion feature"
+              << std::endl;
+    return 0;
+  }
+
+  std::vector<float> vec_a(N, 5.0f);
+  std::vector<float> vec_b(N, 2.0f);
+  std::vector<float> vec_b_neg(N, -2.0f);
+
+  range<1> r(N);
+  buffer<float, 1> a{vec_a.data(), r};
+  buffer<float, 1> b{vec_b.data(), r};
+  buffer<float, 1> b_neg{vec_b_neg.data(), r};
+
+  queue q{dev};
+
+  verify_conv_implicit(q, a, r, 5.0f);
+  std::cout << "PASS verify_conv_implicit\n";
+  verify_conv_explicit(q, a, r, 5.0f);
+  std::cout << "PASS verify_conv_explicit\n";
+  verify_add(q, a, b, r, 7.0f);
+  std::cout << "PASS verify_add\n";
+  verify_sub(q, a, b, r, 3.0f);
+  std::cout << "PASS verify_sub\n";
+  verify_mul(q, a, b, r, 10.0f);
+  std::cout << "PASS verify_mul\n";
+  verify_div(q, a, b, r, 2.5f);
+  std::cout << "PASS verify_div\n";
+  verify_logic(q, a, b, r, 7.0f);
+  std::cout << "PASS verify_logic\n";
+  verify_add(q, a, b_neg, r, 3.0f);
+  std::cout << "PASS verify_add\n";
+  verify_sub(q, a, b_neg, r, 7.0f);
+  std::cout << "PASS verify_sub\n";
+  verify_minus(q, a, r, -5.0f);
+  std::cout << "PASS verify_minus\n";
+  verify_mul(q, a, b_neg, r, -10.0f);
+  std::cout << "PASS verify_mul\n";
+  verify_div(q, a, b_neg, r, -2.5f);
+  std::cout << "PASS verify_div\n";
+  verify_logic(q, a, b_neg, r, 3.0f);
+  std::cout << "PASS verify_logic\n";
+
+  return 0;
+}
diff --git a/sycl/test-e2e/BFloat16/bfloat_hw.cpp b/sycl/test-e2e/BFloat16/bfloat_hw.cpp
new file mode 100644
index 0000000000000..bb1a2a1e1f7b9
--- /dev/null
+++ b/sycl/test-e2e/BFloat16/bfloat_hw.cpp
@@ -0,0 +1,60 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %t.out
+
+// "Hello world" bfloat16 test which checks conversion algorithms on host.
+
+#include <sycl/sycl.hpp>
+
+#include <cstdint>
+#include <type_traits>
+
+template <size_t Size>
+using get_uint_type_of_size = typename std::conditional_t<
+    Size == 1, uint8_t,
+    std::conditional_t<
+        Size == 2, uint16_t,
+        std::conditional_t<Size == 4, uint32_t,
+                           std::conditional_t<Size == 8, uint64_t, void>>>>;
+
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using Bfloat16StorageT = get_uint_type_of_size<sizeof(bfloat16)>;
+
+bool test(float Val, Bfloat16StorageT Bits) {
+  std::cout << "Value: " << Val << " Bits: " << std::hex << "0x" << Bits
+            << std::dec << "...\n";
+  bool Passed = true;
+  {
+    std::cout << "  float -> bfloat16 conversion ...";
+    Bfloat16StorageT RawVal = sycl::bit_cast<Bfloat16StorageT>(bfloat16(Val));
+    bool Res = (RawVal == Bits);
+    Passed &= Res;
+
+    if (Res) {
+      std::cout << "passed\n";
+    } else {
+      std::cout << "failed. " << std::hex << "0x" << RawVal << " != "
+                << "0x" << Bits << "(gold)\n"
+                << std::dec;
+    }
+  }
+  {
+    std::cout << "  bfloat16 -> float conversion ...";
+    float NewVal = static_cast<float>(sycl::bit_cast<bfloat16>(Bits));
+    bool Res = (NewVal == Val);
+    Passed &= Res;
+
+    if (Res) {
+      std::cout << "passed\n";
+    } else {
+      std::cout << "failed. " << Val << "(Gold) != " << NewVal << "\n";
+    }
+  }
+  return Passed;
+}
+
+int main() {
+  bool passed = true;
+  passed &= test(3.140625f, 0x4049);
+  std::cout << (passed ? "Test Passed\n" : "Test FAILED\n");
+  return (passed ? 0 : 1);
+}
diff --git a/sycl/test-e2e/Basic/access_to_subset.cpp b/sycl/test-e2e/Basic/access_to_subset.cpp
new file mode 100644
index 0000000000000..231dfea4fad70
--- /dev/null
+++ b/sycl/test-e2e/Basic/access_to_subset.cpp
@@ -0,0 +1,65 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- access_to_subset.cpp --- access to subset of buffer test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using acc_w = accessor<int, 2, access::mode::write, access::target::device>;
+
+int main() {
+
+  const int M = 6;
+  const int N = 7;
+  int result[M][N] = {0};
+  bool failed = false;
+  {
+    auto origRange = range<2>(M, N);
+    buffer<int, 2> Buffer(origRange);
+    Buffer.set_final_data((int *)result);
+    auto offset = id<2>(1, 1);
+    auto subRange = range<2>(M - 2, N - 2);
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      acc_w B(Buffer, cgh);
+      cgh.parallel_for<class bufferByRange2_init>(
+          origRange, [=](id<2> index) { B[index] = 0; });
+    });
+    myQueue.submit([&](handler &cgh) {
+      acc_w B(Buffer, cgh, subRange, offset);
+      cgh.parallel_for<class bufferByRange2>(
+          subRange, [=](id<2> index) { B[index] = 1; });
+    });
+  }
+
+  // Check that we filled correct subset of buffer:
+  // 0000000     0000000
+  // 0000000     0111110
+  // 0000000 --> 0111110
+  // 0000000     0111110
+  // 0000000     0111110
+  // 0000000     0000000
+
+  for (size_t i = 0; i < M; ++i) {
+    for (size_t j = 0; j < N; ++j) {
+      size_t expected =
+          ((i == 0) || (i == M - 1) || (j == 0) || (j == N - 1)) ? 0 : 1;
+      if (result[i][j] != expected) {
+        std::cout << "line: " << __LINE__ << " result[" << i << "][" << j
+                  << "] is " << result[i][j] << " expected " << expected
+                  << std::endl;
+        failed = true;
+      }
+    }
+  }
+  return failed;
+}
diff --git a/sycl/test-e2e/Basic/accessor/Inputs/device_accessor.cpp b/sycl/test-e2e/Basic/accessor/Inputs/device_accessor.cpp
new file mode 100644
index 0000000000000..dca4fd4662d29
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/Inputs/device_accessor.cpp
@@ -0,0 +1,312 @@
+//==---------- device_accessor.cpp - SYCL accessor basic test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+int main() {
+  // Non-placeholder accessors.
+  {
+    int data[9] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(9),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &cgh) {
+
+#if defined(accessor_new_api_test)
+      sycl::accessor acc_1(buf_data, cgh);
+      sycl::accessor acc_2(buf_data, cgh, sycl::range<1>(8));
+      sycl::accessor acc_3(buf_data, cgh, sycl::range<1>(8), sycl::id<1>(1));
+      sycl::accessor acc_4(buf_data, cgh, sycl::read_only);
+      sycl::accessor acc_5(buf_data, cgh, sycl::range<1>(8), sycl::read_only);
+      sycl::accessor acc_6(buf_data, cgh, sycl::range<1>(8), sycl::id<1>(1),
+                           sycl::read_only);
+      sycl::accessor acc_7(buf_data, cgh, sycl::write_only);
+      sycl::accessor acc_8(buf_data, cgh, sycl::range<1>(8), sycl::write_only);
+      sycl::accessor acc_9(buf_data, cgh, sycl::range<1>(8), sycl::id<1>(1),
+                           sycl::write_only);
+#elif defined(buffer_new_api_test)
+      auto acc_1 = buf_data.get_access(cgh);
+      auto acc_2 = buf_data.get_access(cgh, sycl::range<1>(8));
+      auto acc_3 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::id<1>(1));
+      auto acc_4 = buf_data.get_access(cgh, sycl::read_only);
+      auto acc_5 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::read_only);
+      auto acc_6 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::id<1>(1),
+                                       sycl::read_only);
+      auto acc_7 = buf_data.get_access(cgh, sycl::write_only);
+      auto acc_8 =
+          buf_data.get_access(cgh, sycl::range<1>(8), sycl::write_only);
+      auto acc_9 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::id<1>(1),
+                                       sycl::write_only);
+#endif
+
+      assert(!acc_1.is_placeholder());
+      assert(!acc_2.is_placeholder());
+      assert(!acc_3.is_placeholder());
+      assert(!acc_4.is_placeholder());
+      assert(!acc_5.is_placeholder());
+      assert(!acc_6.is_placeholder());
+      assert(!acc_7.is_placeholder());
+      assert(!acc_8.is_placeholder());
+      assert(!acc_9.is_placeholder());
+
+      cgh.single_task<class nonplaceholder_kernel>([=]() {
+        acc_7[6] = acc_1[0];
+        acc_8[7] = acc_2[1];
+        acc_9[7] = acc_3[1];
+        acc_1[0] = acc_4[3];
+        acc_2[1] = acc_5[4];
+        acc_3[1] = acc_6[4];
+      });
+    });
+    Queue.wait();
+
+#if defined(accessor_new_api_test)
+    sycl::host_accessor host_acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+    auto host_acc = buf_data.get_host_access(sycl::read_only);
+#endif
+    assert(host_acc[0] == 4 && host_acc[1] == 5 && host_acc[2] == 6);
+    assert(host_acc[3] == 4 && host_acc[4] == 5 && host_acc[5] == 6);
+    assert(host_acc[6] == 1 && host_acc[7] == 2 && host_acc[8] == 3);
+  }
+
+  // Placeholder accessors.
+  {
+    int data[9] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(9),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+#if defined(accessor_new_api_test)
+    sycl::accessor acc_1(buf_data);
+    sycl::accessor acc_2(buf_data, sycl::range<1>(8));
+    sycl::accessor acc_3(buf_data, sycl::range<1>(8), sycl::id<1>(1));
+    sycl::accessor acc_4(buf_data, sycl::read_only);
+    sycl::accessor acc_5(buf_data, sycl::range<1>(8), sycl::read_only);
+    sycl::accessor acc_6(buf_data, sycl::range<1>(8), sycl::id<1>(1),
+                         sycl::read_only);
+    sycl::accessor acc_7(buf_data, sycl::write_only);
+    sycl::accessor acc_8(buf_data, sycl::range<1>(8), sycl::write_only);
+    sycl::accessor acc_9(buf_data, sycl::range<1>(8), sycl::id<1>(1),
+                         sycl::write_only);
+#elif defined(buffer_new_api_test)
+    auto acc_1 = buf_data.get_access();
+    auto acc_2 = buf_data.get_access(sycl::range<1>(8));
+    auto acc_3 = buf_data.get_access(sycl::range<1>(8), sycl::id<1>(1));
+    auto acc_4 = buf_data.get_access(sycl::read_only);
+    auto acc_5 = buf_data.get_access(sycl::range<1>(8), sycl::read_only);
+    auto acc_6 =
+        buf_data.get_access(sycl::range<1>(8), sycl::id<1>(1), sycl::read_only);
+    auto acc_7 = buf_data.get_access(sycl::write_only);
+    auto acc_8 = buf_data.get_access(sycl::range<1>(8), sycl::write_only);
+    auto acc_9 = buf_data.get_access(sycl::range<1>(8), sycl::id<1>(1),
+                                     sycl::write_only);
+#endif
+
+    assert(acc_1.is_placeholder());
+    assert(acc_2.is_placeholder());
+    assert(acc_3.is_placeholder());
+    assert(acc_4.is_placeholder());
+    assert(acc_5.is_placeholder());
+    assert(acc_6.is_placeholder());
+    assert(acc_7.is_placeholder());
+    assert(acc_8.is_placeholder());
+    assert(acc_9.is_placeholder());
+
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &cgh) {
+      cgh.require(acc_1);
+      cgh.require(acc_2);
+      cgh.require(acc_3);
+      cgh.require(acc_4);
+      cgh.require(acc_5);
+      cgh.require(acc_6);
+      cgh.require(acc_7);
+      cgh.require(acc_8);
+      cgh.require(acc_9);
+
+      cgh.single_task<class placeholder_kernel>([=]() {
+        acc_7[6] = acc_1[0];
+        acc_8[7] = acc_2[1];
+        acc_9[7] = acc_3[1];
+        acc_1[0] = acc_4[3];
+        acc_2[1] = acc_5[4];
+        acc_3[1] = acc_6[4];
+      });
+    });
+    Queue.wait();
+
+#if defined(accessor_new_api_test)
+    sycl::host_accessor host_acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+    auto host_acc = buf_data.get_host_access(sycl::read_only);
+#endif
+    assert(host_acc[0] == 4 && host_acc[1] == 5 && host_acc[2] == 6);
+    assert(host_acc[3] == 4 && host_acc[4] == 5 && host_acc[5] == 6);
+    assert(host_acc[6] == 1 && host_acc[7] == 2 && host_acc[8] == 3);
+  }
+
+  // Non-placeholder noinit and constant_buffer accessors.
+  {
+    int data[9] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(9),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &cgh) {
+
+#if defined(accessor_new_api_test)
+      sycl::accessor acc_1(buf_data, cgh, sycl::noinit);
+      sycl::accessor acc_2(buf_data, cgh, sycl::range<1>(8), sycl::noinit);
+      sycl::accessor acc_3(buf_data, cgh, sycl::range<1>(8), sycl::id<1>(1),
+                           sycl::noinit);
+      sycl::accessor acc_4(buf_data, cgh, sycl::read_constant);
+      sycl::accessor acc_5(buf_data, cgh, sycl::range<1>(8),
+                           sycl::read_constant);
+      sycl::accessor acc_6(buf_data, cgh, sycl::range<1>(8), sycl::id<1>(1),
+                           sycl::read_constant);
+      sycl::accessor acc_7(buf_data, cgh, sycl::write_only, sycl::noinit);
+      sycl::accessor acc_8(buf_data, cgh, sycl::range<1>(8), sycl::write_only,
+                           sycl::noinit);
+      sycl::accessor acc_9(buf_data, cgh, sycl::range<1>(8), sycl::id<1>(1),
+                           sycl::write_only, sycl::noinit);
+#elif defined(buffer_new_api_test)
+      auto acc_1 = buf_data.get_access(cgh, sycl::noinit);
+      auto acc_2 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::noinit);
+      auto acc_3 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::id<1>(1),
+                                       sycl::noinit);
+      auto acc_4 = buf_data.get_access(cgh, sycl::read_constant);
+      auto acc_5 =
+          buf_data.get_access(cgh, sycl::range<1>(8), sycl::read_constant);
+      auto acc_6 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::id<1>(1),
+                                       sycl::read_constant);
+      auto acc_7 = buf_data.get_access(cgh, sycl::write_only, sycl::noinit);
+      auto acc_8 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::write_only,
+                                       sycl::noinit);
+      auto acc_9 = buf_data.get_access(cgh, sycl::range<1>(8), sycl::id<1>(1),
+                                       sycl::write_only, sycl::noinit);
+#endif
+
+      assert(!acc_1.is_placeholder());
+      assert(!acc_2.is_placeholder());
+      assert(!acc_3.is_placeholder());
+      assert(!acc_4.is_placeholder());
+      assert(!acc_5.is_placeholder());
+      assert(!acc_6.is_placeholder());
+      assert(!acc_7.is_placeholder());
+      assert(!acc_8.is_placeholder());
+      assert(!acc_9.is_placeholder());
+
+      cgh.single_task<class nonplaceholder_noinit_kernel>([=]() {
+        acc_7[6] = 1;
+        acc_8[7] = 2;
+        acc_9[7] = 3;
+        acc_1[0] = acc_4[3];
+        acc_2[1] = acc_5[4];
+        acc_3[1] = acc_6[4];
+      });
+    });
+    Queue.wait();
+
+#if defined(accessor_new_api_test)
+    sycl::host_accessor host_acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+    auto host_acc = buf_data.get_host_access(sycl::read_only);
+#endif
+    assert(host_acc[0] == 4 && host_acc[1] == 5 && host_acc[2] == 6);
+    assert(host_acc[3] == 4 && host_acc[4] == 5 && host_acc[5] == 6);
+    assert(host_acc[6] == 1 && host_acc[7] == 2 && host_acc[8] == 3);
+  }
+
+  // Placeholder noinit and constant_buffer accessors.
+  {
+    int data[9] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(9),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+#if defined(accessor_new_api_test)
+    sycl::accessor acc_1(buf_data, sycl::noinit);
+    sycl::accessor acc_2(buf_data, sycl::range<1>(8), sycl::noinit);
+    sycl::accessor acc_3(buf_data, sycl::range<1>(8), sycl::id<1>(1),
+                         sycl::noinit);
+    sycl::accessor acc_4(buf_data, sycl::read_constant);
+    sycl::accessor acc_5(buf_data, sycl::range<1>(8), sycl::read_constant);
+    sycl::accessor acc_6(buf_data, sycl::range<1>(8), sycl::id<1>(1),
+                         sycl::read_constant);
+    sycl::accessor acc_7(buf_data, sycl::write_only, sycl::noinit);
+    sycl::accessor acc_8(buf_data, sycl::range<1>(8), sycl::write_only,
+                         sycl::noinit);
+    sycl::accessor acc_9(buf_data, sycl::range<1>(8), sycl::id<1>(1),
+                         sycl::write_only, sycl::noinit);
+#elif defined(buffer_new_api_test)
+    auto acc_1 = buf_data.get_access(sycl::noinit);
+    auto acc_2 = buf_data.get_access(sycl::range<1>(8), sycl::noinit);
+    auto acc_3 =
+        buf_data.get_access(sycl::range<1>(8), sycl::id<1>(1), sycl::noinit);
+    auto acc_4 = buf_data.get_access(sycl::read_constant);
+    auto acc_5 = buf_data.get_access(sycl::range<1>(8), sycl::read_constant);
+    auto acc_6 = buf_data.get_access(sycl::range<1>(8), sycl::id<1>(1),
+                                     sycl::read_constant);
+    auto acc_7 = buf_data.get_access(sycl::write_only, sycl::noinit);
+    auto acc_8 =
+        buf_data.get_access(sycl::range<1>(8), sycl::write_only, sycl::noinit);
+    auto acc_9 = buf_data.get_access(sycl::range<1>(8), sycl::id<1>(1),
+                                     sycl::write_only, sycl::noinit);
+#endif
+
+    assert(acc_1.is_placeholder());
+    assert(acc_2.is_placeholder());
+    assert(acc_3.is_placeholder());
+    assert(acc_4.is_placeholder());
+    assert(acc_5.is_placeholder());
+    assert(acc_6.is_placeholder());
+    assert(acc_7.is_placeholder());
+    assert(acc_8.is_placeholder());
+    assert(acc_9.is_placeholder());
+
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &cgh) {
+      cgh.require(acc_1);
+      cgh.require(acc_2);
+      cgh.require(acc_3);
+      cgh.require(acc_4);
+      cgh.require(acc_5);
+      cgh.require(acc_6);
+      cgh.require(acc_7);
+      cgh.require(acc_8);
+      cgh.require(acc_9);
+
+      cgh.single_task<class placeholder_noinit_kernel>([=]() {
+        acc_7[6] = 1;
+        acc_8[7] = 2;
+        acc_9[7] = 3;
+        acc_1[0] = acc_4[3];
+        acc_2[1] = acc_5[4];
+        acc_3[1] = acc_6[4];
+      });
+    });
+    Queue.wait();
+
+#if defined(accessor_new_api_test)
+    sycl::host_accessor host_acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+    auto host_acc = buf_data.get_host_access(sycl::read_only);
+#endif
+    assert(host_acc[0] == 4 && host_acc[1] == 5 && host_acc[2] == 6);
+    assert(host_acc[3] == 4 && host_acc[4] == 5 && host_acc[5] == 6);
+    assert(host_acc[6] == 1 && host_acc[7] == 2 && host_acc[8] == 3);
+  }
+}
diff --git a/sycl/test-e2e/Basic/accessor/Inputs/host_accessor.cpp b/sycl/test-e2e/Basic/accessor/Inputs/host_accessor.cpp
new file mode 100644
index 0000000000000..71042487270cd
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/Inputs/host_accessor.cpp
@@ -0,0 +1,137 @@
+//==----------------host_accessor.cpp - SYCL accessor basic test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+int main() {
+  {
+    int data[3] = {3, 7, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(3),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access();
+#endif
+
+      assert(acc.get_count() == 3);
+      assert(acc.get_range() == sycl::range<1>(3));
+      assert(acc[0] == 3);
+
+      acc[0] = 2;
+
+      assert(data[0] == 2 && data[1] == 7 && data[2] == 9);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::read_only);
+#endif
+
+      assert(acc.get_count() == 3);
+      assert(acc.get_range() == sycl::range<1>(3));
+      assert(acc[0] == 2);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::write_only);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::write_only);
+#endif
+
+      assert(acc.get_count() == 3);
+      assert(acc.get_range() == sycl::range<1>(3));
+      acc[0] = 1;
+      assert(data[0] == 1 && data[1] == 7 && data[2] == 9);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::range<1>(2));
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::range<1>(2));
+#endif
+
+      assert(acc.get_count() == 2);
+      assert(acc.get_range() == sycl::range<1>(2));
+      assert(acc[0] == 1);
+
+      acc[0] = 2;
+
+      assert(data[0] == 2 && data[1] == 7 && data[2] == 9);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::range<1>(2), sycl::read_only);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::range<1>(2), sycl::read_only);
+#endif
+
+      assert(acc.get_count() == 2);
+      assert(acc.get_range() == sycl::range<1>(2));
+      assert(acc[0] == 2);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::range<1>(2), sycl::write_only);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::range<1>(2), sycl::write_only);
+#endif
+
+      assert(acc.get_count() == 2);
+      assert(acc.get_range() == sycl::range<1>(2));
+      acc[0] = 1;
+      assert(data[0] == 1 && data[1] == 7 && data[2] == 9);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::range<1>(2), sycl::id<1>(1));
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::range<1>(2), sycl::id<1>(1));
+#endif
+
+      assert(acc.get_count() == 2);
+      assert(acc.get_range() == sycl::range<1>(2));
+      assert(acc[0] == 7);
+
+      acc[0] = 6;
+
+      assert(data[0] == 1 && data[1] == 6 && data[2] == 9);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::range<1>(2), sycl::id<1>(1),
+                              sycl::read_only);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::range<1>(2), sycl::id<1>(1),
+                                          sycl::read_only);
+#endif
+
+      assert(acc.get_count() == 2);
+      assert(acc.get_range() == sycl::range<1>(2));
+      assert(acc[0] == 6);
+    }
+    {
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc(buf_data, sycl::range<1>(2), sycl::id<1>(1),
+                              sycl::write_only);
+#elif defined(buffer_new_api_test)
+      auto acc = buf_data.get_host_access(sycl::range<1>(2), sycl::id<1>(1),
+                                          sycl::write_only);
+#endif
+
+      assert(acc.get_count() == 2);
+      assert(acc.get_range() == sycl::range<1>(2));
+      acc[0] = 5;
+      assert(data[0] == 1 && data[1] == 5 && data[2] == 9);
+    }
+  }
+}
diff --git a/sycl/test-e2e/Basic/accessor/Inputs/host_task_accessor.cpp b/sycl/test-e2e/Basic/accessor/Inputs/host_task_accessor.cpp
new file mode 100644
index 0000000000000..f321c86841ec4
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/Inputs/host_task_accessor.cpp
@@ -0,0 +1,136 @@
+//==-------- host_task_accessor.cpp - SYCL accessor basic test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+int main() {
+  // Non-placeholder accessors.
+  {
+    int data[9] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(9),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &cgh) {
+
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc_1(buf_data, cgh);
+      sycl::host_accessor acc_2(buf_data, cgh, sycl::range<1>(8));
+      sycl::host_accessor acc_3(buf_data, cgh, sycl::range<1>(8),
+                                sycl::id<1>(1));
+      sycl::host_accessor acc_4(buf_data, cgh, sycl::read_only);
+      sycl::host_accessor acc_5(buf_data, cgh, sycl::range<1>(8),
+                                sycl::read_only);
+      sycl::host_accessor acc_6(buf_data, cgh, sycl::range<1>(8),
+                                sycl::id<1>(1), sycl::read_only);
+      sycl::host_accessor acc_7(buf_data, cgh, sycl::write_only);
+      sycl::host_accessor acc_8(buf_data, cgh, sycl::range<1>(8),
+                                sycl::write_only);
+      sycl::host_accessor acc_9(buf_data, cgh, sycl::range<1>(8),
+                                sycl::id<1>(1), sycl::write_only);
+#elif defined(buffer_new_api_test)
+      auto acc_1 = buf_data.get_host_access(cgh);
+      auto acc_2 = buf_data.get_host_access(cgh, sycl::range<1>(8));
+      auto acc_3 =
+          buf_data.get_host_access(cgh, sycl::range<1>(8), sycl::id<1>(1));
+      auto acc_4 = buf_data.get_host_access(cgh, sycl::read_only);
+      auto acc_5 =
+          buf_data.get_host_access(cgh, sycl::range<1>(8), sycl::read_only);
+      auto acc_6 = buf_data.get_host_access(cgh, sycl::range<1>(8),
+                                            sycl::id<1>(1), sycl::read_only);
+      auto acc_7 = buf_data.get_host_access(cgh, sycl::write_only);
+      auto acc_8 =
+          buf_data.get_host_access(cgh, sycl::range<1>(8), sycl::write_only);
+      auto acc_9 = buf_data.get_host_access(cgh, sycl::range<1>(8),
+                                            sycl::id<1>(1), sycl::write_only);
+#endif
+
+#if defined(accessor_new_api_test) || defined(buffer_new_api_test)
+      cgh.host_task([=]() {
+        acc_7[6] = acc_1[0];
+        acc_8[7] = acc_2[1];
+        acc_9[7] = acc_3[1];
+        acc_1[0] = acc_4[3];
+        acc_2[1] = acc_5[4];
+        acc_3[1] = acc_6[4];
+      });
+    });
+#endif
+    Queue.wait();
+
+#if defined(accessor_new_api_test)
+    sycl::host_accessor host_acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+    auto host_acc = buf_data.get_host_access(sycl::read_only);
+#endif
+    assert(host_acc[0] == 4 && host_acc[1] == 5 && host_acc[2] == 6);
+    assert(host_acc[3] == 4 && host_acc[4] == 5 && host_acc[5] == 6);
+    assert(host_acc[6] == 1 && host_acc[7] == 2 && host_acc[8] == 3);
+  }
+
+  // noinit accessors.
+  {
+    int data[9] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
+
+    sycl::buffer<int, 1> buf_data(data, sycl::range<1>(9),
+                                  {sycl::property::buffer::use_host_ptr()});
+
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &cgh) {
+
+#if defined(accessor_new_api_test)
+      sycl::host_accessor acc_1(buf_data, cgh, sycl::noinit);
+      sycl::host_accessor acc_2(buf_data, cgh, sycl::range<1>(8), sycl::noinit);
+      sycl::host_accessor acc_3(buf_data, cgh, sycl::range<1>(8),
+                                sycl::id<1>(1), sycl::noinit);
+      sycl::host_accessor acc_7(buf_data, cgh, sycl::write_only, sycl::noinit);
+      sycl::host_accessor acc_8(buf_data, cgh, sycl::range<1>(8),
+                                sycl::write_only, sycl::noinit);
+      sycl::host_accessor acc_9(buf_data, cgh, sycl::range<1>(8),
+                                sycl::id<1>(1), sycl::write_only, sycl::noinit);
+#elif defined(buffer_new_api_test)
+      auto acc_1 = buf_data.get_host_access(cgh, sycl::noinit);
+      auto acc_2 =
+          buf_data.get_host_access(cgh, sycl::range<1>(8), sycl::noinit);
+      auto acc_3 = buf_data.get_host_access(cgh, sycl::range<1>(8),
+                                            sycl::id<1>(1), sycl::noinit);
+      auto acc_7 =
+          buf_data.get_host_access(cgh, sycl::write_only, sycl::noinit);
+      auto acc_8 = buf_data.get_host_access(cgh, sycl::range<1>(8),
+                                            sycl::write_only, sycl::noinit);
+      auto acc_9 =
+          buf_data.get_host_access(cgh, sycl::range<1>(8), sycl::id<1>(1),
+                                   sycl::write_only, sycl::noinit);
+#endif
+
+#if defined(accessor_new_api_test) || defined(buffer_new_api_test)
+      cgh.host_task([=]() {
+        acc_7[6] = acc_1[0];
+        acc_8[7] = acc_2[1];
+        acc_9[7] = acc_3[1];
+        acc_1[0] = 4;
+        acc_2[1] = 5;
+        acc_3[1] = 6;
+      });
+#endif
+    });
+    Queue.wait();
+
+#if defined(accessor_new_api_test)
+    sycl::host_accessor host_acc(buf_data, sycl::read_only);
+#elif defined(buffer_new_api_test)
+    auto host_acc = buf_data.get_host_access(sycl::read_only);
+#endif
+    assert(host_acc[0] == 4 && host_acc[1] == 5 && host_acc[2] == 6);
+    assert(host_acc[3] == 4 && host_acc[4] == 5 && host_acc[5] == 6);
+    assert(host_acc[6] == 1 && host_acc[7] == 2 && host_acc[8] == 3);
+  }
+}
diff --git a/sycl/test-e2e/Basic/accessor/accessor.cpp b/sycl/test-e2e/Basic/accessor/accessor.cpp
new file mode 100644
index 0000000000000..9c5f0bf62bb35
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/accessor.cpp
@@ -0,0 +1,1100 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==----------------accessor.cpp - SYCL accessor basic test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+struct IdxID1 {
+  int x;
+
+  IdxID1(int x) : x(x) {}
+  operator sycl::id<1>() { return x; }
+};
+
+struct IdxID3 {
+  int x;
+  int y;
+  int z;
+
+  IdxID3(int x, int y, int z) : x(x), y(y), z(z) {}
+  operator sycl::id<3>() { return sycl::id<3>(x, y, z); }
+};
+
+template <typename T>
+using AccAlias =
+    sycl::accessor<T, 1, sycl::access::mode::write, sycl::target::device>;
+
+template <typename T> struct InheritedAccessor : public AccAlias<T> {
+
+  using AccAlias<T>::AccAlias;
+};
+
+template <typename Acc> struct AccWrapper {
+  Acc accessor;
+};
+
+template <typename Acc1, typename Acc2> struct AccsWrapper {
+  int a;
+  Acc1 accessor1;
+  int b;
+  Acc2 accessor2;
+};
+
+struct Wrapper1 {
+  int a;
+  int b;
+};
+
+template <typename Acc> struct Wrapper2 {
+  Wrapper1 w1;
+  AccWrapper<Acc> wrapped;
+};
+
+template <typename Acc> struct Wrapper3 {
+  Wrapper2<Acc> w2;
+};
+
+template <typename T> void TestAccSizeFuncs(const std::vector<T> &vec) {
+  auto test = [=](auto &Res, const auto &Acc) {
+    Res[0] = Acc.byte_size();
+    Res[1] = Acc.size();
+    Res[2] = Acc.max_size();
+    Res[3] = size_t(Acc.empty());
+  };
+  auto checkResult = [=](const std::vector<size_t> &Res, size_t MaxSize) {
+    assert(Res[0] == vec.size() * sizeof(T));
+    assert(Res[1] == vec.size());
+    assert(Res[2] == MaxSize);
+    assert(Res[3] == vec.empty());
+  };
+  std::vector<size_t> res(4); // for 4 functions results
+
+  sycl::buffer<T> bufInput(vec.data(), vec.size());
+  sycl::host_accessor accInput(bufInput);
+  test(res, accInput);
+  checkResult(res,
+              std::numeric_limits<
+                  typename sycl::host_accessor<T>::difference_type>::max());
+
+  sycl::queue q;
+  {
+    sycl::buffer<T> bufInput(vec.data(), vec.size());
+    sycl::buffer<size_t> bufRes(res.data(), res.size());
+
+    q.submit([&](sycl::handler &cgh) {
+      sycl::accessor accInput(bufInput, cgh);
+      sycl::accessor accRes(bufRes, cgh);
+      cgh.single_task([=]() { test(accRes, accInput); });
+    });
+    q.wait();
+  }
+  checkResult(
+      res,
+      std::numeric_limits<typename sycl::accessor<T>::difference_type>::max());
+
+  {
+    sycl::buffer<size_t> bufRes(res.data(), res.size());
+    q.submit([&](sycl::handler &cgh) {
+      sycl::accessor accRes(bufRes, cgh);
+      sycl::local_accessor<T, 1> locAcc(vec.size(), cgh);
+      cgh.single_task([=]() { test(accRes, locAcc); });
+    });
+    q.wait();
+  }
+  checkResult(res,
+              std::numeric_limits<
+                  typename sycl::local_accessor<T>::difference_type>::max());
+}
+
+template <typename GlobAcc, typename LocAcc>
+void testLocalAccItersImpl(sycl::handler &cgh, GlobAcc &globAcc, LocAcc &locAcc,
+                           bool testConstIter) {
+  if (testConstIter) {
+    cgh.single_task([=]() {
+      size_t Idx = 0;
+      for (auto &It : locAcc) {
+        It = globAcc[Idx++];
+      }
+      Idx = 0;
+      for (auto It = locAcc.cbegin(); It != locAcc.cend(); It++)
+        globAcc[Idx++] = *It * 2 + 1;
+      Idx = locAcc.size() - 1;
+      for (auto It = locAcc.crbegin(); It != locAcc.crend(); It++)
+        globAcc[Idx--] += *It;
+    });
+  } else {
+    cgh.single_task([=]() {
+      size_t Idx = 0;
+      for (auto It = locAcc.begin(); It != locAcc.end(); It++)
+        *It = globAcc[Idx++] * 2;
+      for (auto &It : locAcc) {
+        It++;
+      }
+      for (auto It = locAcc.rbegin(); It != locAcc.rend(); It++) {
+        *It *= 2;
+        *It += 1;
+      }
+      Idx = 0;
+      for (auto &It : locAcc) {
+        globAcc[Idx++] = It;
+      }
+    });
+  }
+}
+
+void testLocalAccIters(std::vector<int> &vec, bool testConstIter = false,
+                       bool test2D = false) {
+  try {
+    sycl::queue queue;
+    sycl::buffer<int, 1> buf(vec.data(), vec.size());
+    queue.submit([&](sycl::handler &cgh) {
+      auto globAcc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      if (test2D) {
+        sycl::local_accessor<int, 2> locAcc(sycl::range<2>{2, 16}, cgh);
+        testLocalAccItersImpl(cgh, globAcc, locAcc, testConstIter);
+      } else {
+        sycl::local_accessor<int, 1> locAcc(32, cgh);
+        testLocalAccItersImpl(cgh, globAcc, locAcc, testConstIter);
+      }
+    });
+  } catch (sycl::exception &e) {
+    std::cout << e.what() << std::endl;
+  }
+}
+
+int main() {
+  // Host accessor.
+  {
+    int src[2] = {3, 7};
+    int dst[2];
+
+    sycl::buffer<int, 1> buf_src(src, sycl::range<1>(2),
+                                 {sycl::property::buffer::use_host_ptr()});
+    sycl::buffer<int, 1> buf_dst(dst, sycl::range<1>(2),
+                                 {sycl::property::buffer::use_host_ptr()});
+
+    sycl::id<1> id1(1);
+    auto acc_src = buf_src.get_access<sycl::access::mode::read>();
+    auto acc_dst = buf_dst.get_access<sycl::access::mode::read_write>();
+
+    assert(!acc_src.is_placeholder());
+    assert(acc_src.get_size() == sizeof(src));
+    assert(acc_src.get_count() == 2);
+    assert(acc_src.get_range() == sycl::range<1>(2));
+
+    // operator[] overload for size_t was intentionally removed
+    // to remove ambiguity, when passing item to operator[].
+    // Implicit conversion from IdxSzT to size_t guarantees that no
+    // implicit conversion from size_t to id<1> will happen,
+    // thus `acc_src[IdxSzT(0)]` will no longer compile.
+    // Replaced with acc_src[0].
+    assert(acc_src[0] + acc_src[IdxID1(1)] == 10);
+
+    acc_dst[0] = acc_src[0] + acc_src[IdxID1(0)];
+    acc_dst[id1] = acc_src[1] + acc_src[1];
+    assert(dst[0] == 6 && dst[1] == 14);
+  }
+
+  // Three-dimensional host accessor.
+  {
+    int data[24];
+    for (int i = 0; i < 24; ++i)
+      data[i] = i;
+    {
+      sycl::buffer<int, 3> buf(data, sycl::range<3>(2, 3, 4));
+
+      auto acc = buf.get_access<sycl::access::mode::read_write>();
+
+      assert(!acc.is_placeholder());
+      assert(acc.get_size() == sizeof(data));
+      assert(acc.get_count() == 24);
+      assert(acc.get_range() == sycl::range<3>(2, 3, 4));
+
+      for (int i = 0; i < 2; ++i)
+        for (int j = 0; j < 3; ++j)
+          for (int k = 0; k < 4; ++k)
+            acc[IdxID3(i, j, k)] += acc[sycl::id<3>(i, j, k)];
+    }
+    for (int i = 0; i < 24; ++i) {
+      assert(data[i] == 2 * i);
+    }
+  }
+  int data = 5;
+  // Device accessor.
+  {
+    sycl::queue Queue;
+
+    sycl::buffer<int, 1> buf(&data, sycl::range<1>(1),
+                             {sycl::property::buffer::use_host_ptr()});
+
+    Queue.submit([&](sycl::handler &cgh) {
+      auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      assert(!acc.is_placeholder());
+      assert(acc.get_size() == sizeof(int));
+      assert(acc.get_count() == 1);
+      assert(acc.get_range() == sycl::range<1>(1));
+      cgh.single_task<class kernel>([=]() { acc[0] += acc[IdxID1(0)]; });
+    });
+    Queue.wait();
+  }
+  assert(data == 10);
+
+  // Device accessor with 2-dimensional subscript operators.
+  {
+    sycl::queue Queue;
+    int array[2][3] = {0};
+    {
+      sycl::range<2> Range(2, 3);
+      sycl::buffer<int, 2> buf((int *)array, Range,
+                               {sycl::property::buffer::use_host_ptr()});
+
+      Queue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.parallel_for<class dim2_subscr>(Range, [=](sycl::item<2> itemID) {
+          acc[itemID.get_id(0)][itemID.get_id(1)] += itemID.get_linear_id();
+        });
+      });
+      Queue.wait();
+    }
+    for (int i = 0; i < 2; i++) {
+      for (int j = 0; j < 3; j++) {
+        if (array[i][j] != i * 3 + j) {
+          std::cerr << array[i][j] << " != " << (i * 3 + j) << std::endl;
+          assert(0);
+          return 1;
+        }
+      }
+    }
+  }
+
+  // Device accessor with 2-dimensional subscript operators for atomic accessor
+  // check compile error
+  {
+    sycl::queue queue;
+    sycl::range<2> range(1, 1);
+    int Arr[] = {2};
+    {
+      sycl::buffer<int, 1> Buf(Arr, 1);
+      queue.submit([&](sycl::handler &cgh) {
+        auto acc = sycl::accessor<int, 2, sycl::access::mode::atomic,
+                                  sycl::target::local>(range, cgh);
+        cgh.parallel_for<class dim2_subscr_atomic>(
+            sycl::nd_range<2>{range, range}, [=](sycl::nd_item<2>) {
+              sycl::atomic<int, sycl::access::address_space::local_space>
+                  value = acc[0][0];
+            });
+      });
+    }
+  }
+
+  // Device accessor with 3-dimensional subscript operators.
+  {
+    sycl::queue Queue;
+    int array[2][3][4] = {0};
+    {
+      sycl::range<3> Range(2, 3, 4);
+      sycl::buffer<int, 3> buf((int *)array, Range,
+                               {sycl::property::buffer::use_host_ptr()});
+
+      Queue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.parallel_for<class dim3_subscr>(Range, [=](sycl::item<3> itemID) {
+          acc[itemID.get_id(0)][itemID.get_id(1)][itemID.get_id(2)] +=
+              itemID.get_linear_id();
+        });
+      });
+      Queue.wait();
+    }
+    for (int i = 0; i < 2; i++) {
+      for (int j = 0; j < 3; j++) {
+        for (int k = 0; k < 4; k++) {
+          int expected = k + 4 * (j + 3 * i);
+          if (array[i][j][k] != expected) {
+            std::cerr << array[i][j][k] << " != " << expected << std::endl;
+            assert(0);
+            return 1;
+          }
+        }
+      }
+    }
+  }
+
+  // Local accessor
+  {
+    sycl::queue queue;
+
+    constexpr int dims = 1;
+
+    using data_loc = int;
+    constexpr auto mode_loc = sycl::access::mode::read_write;
+    constexpr auto target_loc = sycl::target::local;
+    const auto range_loc = sycl::range<1>(1);
+
+    {
+      queue.submit([&](sycl::handler &cgh) {
+        auto properties = sycl::property_list{};
+
+        auto acc_loc_p = sycl::accessor<data_loc, dims, mode_loc, target_loc>(
+            range_loc, cgh, properties);
+        auto acc_loc = sycl::accessor<data_loc, dims, mode_loc, target_loc>(
+            range_loc, cgh);
+
+        cgh.single_task<class loc_img_acc>([=]() {});
+      });
+    }
+  }
+
+  // Discard write accessor.
+  {
+    try {
+      sycl::queue Queue;
+      sycl::buffer<int, 1> buf(sycl::range<1>(3));
+
+      Queue.submit([&](sycl::handler &cgh) {
+        auto dev_acc = buf.get_access<sycl::access::mode::discard_write>(cgh);
+
+        cgh.parallel_for<class test_discard_write>(
+            sycl::range<1>{3}, [=](sycl::id<1> index) { dev_acc[index] = 42; });
+      });
+
+      auto host_acc = buf.get_access<sycl::access::mode::read>();
+      for (int i = 0; i != 3; ++i)
+        assert(host_acc[i] == 42);
+
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // Discard read-write accessor.
+  {
+    try {
+      sycl::queue Queue;
+      sycl::buffer<int, 1> buf(sycl::range<1>(3));
+
+      Queue.submit([&](sycl::handler &cgh) {
+        auto dev_acc = buf.get_access<sycl::access::mode::write>(cgh);
+
+        cgh.parallel_for<class test_discard_read_write>(
+            sycl::range<1>{3}, [=](sycl::id<1> index) { dev_acc[index] = 42; });
+      });
+
+      auto host_acc = buf.get_access<sycl::access::mode::discard_read_write>();
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // Check that accessor is initialized when accessor is wrapped to some class.
+  {
+    sycl::queue queue;
+    int array[10] = {0};
+    {
+      sycl::buffer<int, 1> buf((int *)array, sycl::range<1>(10),
+                               {sycl::property::buffer::use_host_ptr()});
+      queue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        auto acc_wrapped = AccWrapper<decltype(acc)>{acc};
+        cgh.parallel_for<class wrapped_access1>(
+            sycl::range<1>(buf.get_count()), [=](sycl::item<1> it) {
+              auto idx = it.get_linear_id();
+              acc_wrapped.accessor[idx] = 333;
+            });
+      });
+      queue.wait();
+    }
+    for (int i = 0; i < 10; i++) {
+      if (array[i] != 333) {
+        std::cerr << array[i] << " != 333" << std::endl;
+        assert(0);
+        return 1;
+      }
+    }
+  }
+
+  // Case when several accessors are wrapped to some class. Check that they are
+  // initialized in proper way and value is assigned.
+  {
+    sycl::queue queue;
+    int array1[10] = {0};
+    int array2[10] = {0};
+    {
+      sycl::buffer<int, 1> buf1((int *)array1, sycl::range<1>(10),
+                                {sycl::property::buffer::use_host_ptr()});
+      sycl::buffer<int, 1> buf2((int *)array2, sycl::range<1>(10),
+                                {sycl::property::buffer::use_host_ptr()});
+      queue.submit([&](sycl::handler &cgh) {
+        auto acc1 = buf1.get_access<sycl::access::mode::read_write>(cgh);
+        auto acc2 = buf2.get_access<sycl::access::mode::read_write>(cgh);
+        auto acc_wrapped =
+            AccsWrapper<decltype(acc1), decltype(acc2)>{10, acc1, 5, acc2};
+        cgh.parallel_for<class wrapped_access2>(
+            sycl::range<1>(10), [=](sycl::item<1> it) {
+              auto idx = it.get_linear_id();
+              acc_wrapped.accessor1[idx] = 333;
+              acc_wrapped.accessor2[idx] = 777;
+            });
+      });
+      queue.wait();
+    }
+    for (int i = 0; i < 10; i++) {
+      for (int i = 0; i < 10; i++) {
+        if (array1[i] != 333) {
+          std::cerr << array1[i] << " != 333" << std::endl;
+          assert(0);
+          return 1;
+        }
+        if (array2[i] != 777) {
+          std::cerr << array2[i] << " != 777" << std::endl;
+          assert(0);
+          return 1;
+        }
+      }
+    }
+  }
+
+  // Several levels of wrappers for accessor.
+  {
+    sycl::queue queue;
+    int array[10] = {0};
+    {
+      sycl::buffer<int, 1> buf((int *)array, sycl::range<1>(10),
+                               {sycl::property::buffer::use_host_ptr()});
+      queue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        auto acc_wrapped = AccWrapper<decltype(acc)>{acc};
+        Wrapper1 wr1;
+        auto wr2 = Wrapper2<decltype(acc)>{wr1, acc_wrapped};
+        auto wr3 = Wrapper3<decltype(acc)>{wr2};
+        cgh.parallel_for<class wrapped_access3>(
+            sycl::range<1>(buf.get_count()), [=](sycl::item<1> it) {
+              auto idx = it.get_linear_id();
+              wr3.w2.wrapped.accessor[idx] = 333;
+            });
+      });
+      queue.wait();
+    }
+    for (int i = 0; i < 10; i++) {
+      if (array[i] != 333) {
+        std::cerr << array[i] << " != 333" << std::endl;
+        assert(0);
+        return 1;
+      }
+    }
+  }
+
+  // Two accessors to the same buffer.
+  {
+    try {
+      sycl::queue queue;
+      int array[3] = {1, 1, 1};
+      sycl::buffer<int, 1> buf(array, sycl::range<1>(3));
+
+      queue.submit([&](sycl::handler &cgh) {
+        auto acc1 = buf.get_access<sycl::access::mode::read>(cgh);
+        auto acc2 = buf.get_access<sycl::access::mode::read_write>(cgh);
+
+        cgh.parallel_for<class two_accessors_to_buf>(
+            sycl::range<1>{3},
+            [=](sycl::id<1> index) { acc2[index] = 41 + acc1[index]; });
+      });
+
+      auto host_acc = buf.get_access<sycl::access::mode::read>();
+      for (int i = 0; i != 3; ++i)
+        assert(host_acc[i] == 42);
+
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // Accessor with dimensionality 0.
+  {
+    try {
+      int data = -1;
+      {
+        sycl::buffer<int, 1> b(&data, sycl::range<1>(1));
+        sycl::queue queue;
+        queue.submit([&](sycl::handler &cgh) {
+          sycl::accessor<int, 0, sycl::access::mode::read_write,
+                         sycl::target::device>
+              B(b, cgh);
+          cgh.single_task<class acc_with_zero_dim>([=]() {
+            auto B2 = B;
+            (int &)B2 = 399;
+          });
+        });
+      }
+      assert(data == 399);
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  {
+    // Call every available accessor's constructor to ensure that they work with
+    // a buffer with a non-default allocator.
+    int data[] = {1, 2, 3};
+
+    using allocator_type = std::allocator<int>;
+
+    sycl::buffer<int, 1, allocator_type> buf1(&data[0], sycl::range<1>(1),
+                                              allocator_type{});
+    sycl::buffer<int, 1, allocator_type> buf2(&data[1], sycl::range<1>(1),
+                                              allocator_type{});
+    sycl::buffer<int, 1, allocator_type> buf3(&data[2], sycl::range<1>(1),
+                                              allocator_type{});
+
+    sycl::queue queue;
+    queue.submit([&](sycl::handler &cgh) {
+      sycl::accessor<int, 0, sycl::access::mode::read_write,
+                     sycl::target::device>
+          acc1(buf1, cgh);
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::target::device>
+          acc2(buf2, cgh);
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::target::device>
+          acc3(buf3, cgh, sycl::range<1>(1));
+      cgh.single_task<class acc_alloc_buf>([=]() {
+        acc1 *= 2;
+        acc2[0] *= 2;
+        acc3[0] *= 2;
+      });
+    });
+
+    sycl::accessor<int, 0, sycl::access::mode::read, sycl::target::host_buffer>
+        acc4(buf1);
+    sycl::accessor<int, 1, sycl::access::mode::read, sycl::target::host_buffer>
+        acc5(buf2);
+    sycl::accessor<int, 1, sycl::access::mode::read, sycl::target::host_buffer>
+        acc6(buf3, sycl::range<1>(1));
+
+    assert(acc4 == 2);
+    assert(acc5[0] == 4);
+    assert(acc6[0] == 6);
+  }
+
+  // Constant buffer accessor
+  {
+    try {
+      int data = -1;
+      int cnst = 399;
+
+      {
+        sycl::buffer<int, 1> d(&data, sycl::range<1>(1));
+        sycl::buffer<int, 1> c(&cnst, sycl::range<1>(1));
+
+        sycl::queue queue;
+        queue.submit([&](sycl::handler &cgh) {
+          sycl::accessor<int, 1, sycl::access::mode::write,
+                         sycl::target::device>
+              D(d, cgh);
+          sycl::accessor<int, 1, sycl::access::mode::read,
+                         sycl::target::constant_buffer>
+              C(c, cgh);
+
+          cgh.single_task<class acc_with_const>([=]() { D[0] = C[0]; });
+        });
+
+        auto host_acc = d.get_access<sycl::access::mode::read>();
+        assert(host_acc[0] == 399);
+      }
+
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // Placeholder accessor
+  {
+    try {
+      int data = -1;
+      int cnst = 399;
+
+      {
+        sycl::buffer<int, 1> d(&data, sycl::range<1>(1));
+        sycl::buffer<int, 1> c(&cnst, sycl::range<1>(1));
+
+        sycl::accessor<int, 1, sycl::access::mode::write, sycl::target::device,
+                       sycl::access::placeholder::true_t>
+            D(d);
+        sycl::accessor<int, 1, sycl::access::mode::read,
+                       sycl::target::constant_buffer,
+                       sycl::access::placeholder::true_t>
+            C(c);
+
+        sycl::queue queue;
+        queue.submit([&](sycl::handler &cgh) {
+          cgh.require(D);
+          cgh.require(C);
+
+          cgh.single_task<class placeholder_acc>([=]() { D[0] = C[0]; });
+        });
+
+        auto host_acc = d.get_access<sycl::access::mode::read>();
+        assert(host_acc[0] == 399);
+      }
+
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // placeholder accessor exception (1)  // SYCL2020 4.7.6.9
+  {
+    sycl::queue q;
+    // host device executes kernels via a different method and there
+    // is no good way to throw an exception at this time.
+    sycl::range<1> r(4);
+    sycl::buffer<int, 1> b(r);
+    try {
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::true_t>
+          acc(b);
+
+      q.submit([&](sycl::handler &cgh) {
+        // we do NOT call .require(acc) without which we should throw a
+        // synchronous exception with errc::kernel_argument
+        cgh.parallel_for<class ph1>(r,
+                                    [=](sycl::id<1> index) { acc[index] = 0; });
+      });
+      q.wait_and_throw();
+      assert(false && "we should not be here, missing exception");
+    } catch (sycl::exception &e) {
+      std::cout << "exception received: " << e.what() << std::endl;
+      assert(e.code() == sycl::errc::kernel_argument && "incorrect error code");
+    } catch (...) {
+      std::cout << "Some other exception (line " << __LINE__ << ")"
+                << std::endl;
+      return 1;
+    }
+  }
+
+  // placeholder accessor exception (2) // SYCL2020 4.7.6.9
+  {
+    sycl::queue q;
+    // host device executes kernels via a different method and there
+    // is no good way to throw an exception at this time.
+    sycl::range<1> r(4);
+    sycl::buffer<int, 1> b(r);
+    try {
+      using AccT = sycl::accessor<int, 1, sycl::access::mode::read_write,
+                                  sycl::access::target::device,
+                                  sycl::access::placeholder::true_t>;
+      AccT acc(b);
+
+      q.submit([&](sycl::handler &cgh) {
+        // we do NOT call .require(acc) without which we should throw a
+        // synchronous exception with errc::kernel_argument
+        // The difference with the previous test is that the use of acc
+        // is usually optimized away for this particular scenario, but the
+        // exception should be thrown because of passing it, not because of
+        // using it
+        cgh.single_task<class ph2>([=] { int x = acc[0]; });
+      });
+      q.wait_and_throw();
+      assert(false && "we should not be here, missing exception");
+    } catch (sycl::exception &e) {
+      std::cout << "exception received: " << e.what() << std::endl;
+      assert(e.code() == sycl::errc::kernel_argument && "incorrect error code");
+    } catch (...) {
+      std::cout << "Some other exception (line " << __LINE__ << ")"
+                << std::endl;
+      return 1;
+    }
+  }
+
+  // placeholder accessor exception (3)  // SYCL2020 4.7.6.9
+  {
+    sycl::queue q;
+    // host device executes kernels via a different method and there
+    // is no good way to throw an exception at this time.
+    sycl::range<1> r(4);
+    sycl::buffer<int, 1> b(r);
+    try {
+      using AccT = sycl::accessor<int, 1, sycl::access::mode::read_write,
+                                  sycl::access::target::device,
+                                  sycl::access::placeholder::true_t>;
+      AccT acc(b);
+
+      q.submit([&](sycl::handler &cgh) {
+        AccT acc2(b, cgh);
+        // we do NOT call .require(acc) without which we should throw a
+        // synchronous exception with errc::kernel_argument
+        // The particularity of this test is that it passes to a command
+        // one bound accessor and one unbound accessor. In the past, this
+        // has led to throw the wrong exception.
+        cgh.single_task<class ph3>([=] {
+          volatile int x = acc[0];
+          volatile int y = acc2[0];
+        });
+      });
+      q.wait_and_throw();
+      assert(false && "we should not be here, missing exception");
+    } catch (sycl::exception &e) {
+      std::cout << "exception received: " << e.what() << std::endl;
+      assert(e.code() == sycl::errc::kernel_argument && "incorrect error code");
+    } catch (...) {
+      std::cout << "Some other exception (line " << __LINE__ << ")"
+                << std::endl;
+      return 1;
+    }
+  }
+
+  {
+    try {
+      int data = -1;
+      int cnst = 399;
+
+      {
+        sycl::buffer<int, 1> A(&cnst, sycl::range<1>(1));
+        sycl::buffer<int, 1> B(&cnst, sycl::range<1>(1));
+        sycl::buffer<int, 1> C(&data, sycl::range<1>(1));
+
+        sycl::queue queue;
+        queue.submit([&](sycl::handler &cgh) {
+          sycl::accessor<int, 1, sycl::access::mode::write,
+                         sycl::target::device>
+              AccA(A, cgh);
+          sycl::accessor<int, 1, sycl::access::mode::read,
+                         sycl::target::constant_buffer>
+              AccB(B, cgh);
+          InheritedAccessor<int> AccC(C, cgh);
+          cgh.single_task<class acc_base>(
+              [=]() { AccC[0] = AccA[0] + AccB[0]; });
+        });
+
+#ifndef simplification_test
+        auto host_acc = C.get_access<sycl::access::mode::read>();
+#else
+        sycl::host_accessor host_acc(C, sycl::read_only);
+#endif
+        assert(host_acc[0] == 798);
+      }
+
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // Accessor with buffer size 0.
+  {
+    try {
+      int data[10] = {0};
+      {
+        sycl::buffer<int, 1> b{&data[0], 10};
+        sycl::buffer<int, 1> b1{0};
+
+        sycl::queue queue;
+        queue.submit([&](sycl::handler &cgh) {
+          sycl::accessor<int, 1, sycl::access::mode::read_write,
+                         sycl::target::device>
+              B(b, cgh);
+          auto B1 = b1.template get_access<sycl::access::mode::read_write>(cgh);
+
+          cgh.single_task<class acc_with_zero_sized_buffer>(
+              [=]() { B[0] = 1; });
+        });
+      }
+      assert(!"invalid device accessor buffer size exception wasn't caught");
+    } catch (const sycl::invalid_object_error &e) {
+      assert(e.get_cl_code() == CL_INVALID_VALUE);
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // Accessor to fixed size array type.
+  {
+    try {
+      using array_t = int[3];
+
+      array_t *array = (array_t *)malloc(3 * sizeof(array_t));
+      sycl::queue q;
+      static_assert(std::is_trivially_copyable<array_t>::value);
+      {
+        sycl::buffer buf(array, sycl::range<1>(3));
+        q.submit([&](sycl::handler &h) {
+          auto acc = buf.get_access<sycl::access::mode::write>(h);
+          h.parallel_for<class A>(3, [=](sycl::id<1> i) {
+            for (int j = 0; j < 3; ++j) {
+              acc[i][j] = j + i * 10;
+            }
+          });
+        });
+      }
+      for (int i = 0; i < 3; ++i) {
+        for (int j = 0; j < 3; ++j) {
+          int expected = j + i * 10;
+          if (array[i][j] != expected) {
+            std::cerr << "Accessor to array fail: expected = " << expected
+                      << ", computed = " << array[i][j] << std::endl;
+            assert(0);
+            return 1;
+          }
+        }
+      }
+      free(array);
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what();
+      return 1;
+    }
+  }
+
+  // exceptions with illegal ranges or no_init
+  {
+    const size_t bufSize = 10;
+    std::vector<int> res(bufSize);
+    sycl::range<1> r(bufSize);
+    sycl::buffer<int, 1> b(res.data(), r);
+    sycl::range<1> illegalR(bufSize + 1);
+    sycl::id<1> offset(bufSize);
+
+    // illegal ranges
+    try {
+      auto acc = b.get_access<sycl::access::mode::read_write>(illegalR, offset);
+      assert(false && "operation should not have succeeded");
+    } catch (sycl::exception &e) {
+      assert(e.code() == sycl::errc::invalid && "errc should be errc::invalid");
+    }
+    try {
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        auto acc = b.get_access<sycl::access::mode::read_write>(cgh, illegalR);
+      });
+      q.wait_and_throw();
+      assert(false &&
+             "we should not be here. operation should not have succeeded");
+    } catch (sycl::exception &e) {
+      assert(e.code() == sycl::errc::invalid && "errc should be errc::invalid");
+    }
+
+    // no_init incompatible with read_only
+    try {
+      sycl::host_accessor out{b, sycl::read_only, sycl::no_init};
+      assert(false && "operation should have failed");
+    } catch (sycl::exception &e) {
+      assert(e.code() == sycl::errc::invalid && "errc should be errc::invalid");
+    }
+    try {
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor out{b, cgh, sycl::read_only, sycl::no_init};
+      });
+      q.wait_and_throw();
+      assert(false && "we should not be here. operation should have failed");
+    } catch (sycl::exception &e) {
+      assert(e.code() == sycl::errc::invalid && "errc should be errc::invalid");
+    }
+  }
+
+  // Accessor common property interface
+  {
+    using namespace sycl::ext::oneapi;
+    int data[1] = {0};
+
+    // host accessor
+    try {
+      sycl::buffer<int, 1> buf_data(data, sycl::range<1>(1),
+                                    {sycl::property::buffer::use_host_ptr()});
+      accessor_property_list PL{no_alias, no_offset, sycl::no_init};
+      sycl::accessor acc_1(buf_data, PL);
+      static_assert(acc_1.has_property<property::no_alias>());
+      static_assert(acc_1.has_property<property::no_offset>());
+      assert(acc_1.has_property<sycl::property::no_init>());
+
+      static_assert(acc_1.get_property<property::no_alias>() == no_alias);
+      static_assert(acc_1.get_property<property::no_offset>() == no_offset);
+      // Should not throw "The property is not found"
+      auto noInit = acc_1.get_property<sycl::property::no_init>();
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    }
+
+    // base accessor
+    try {
+      sycl::buffer<int, 1> buf_data(data, sycl::range<1>(1),
+                                    {sycl::property::buffer::use_host_ptr()});
+      sycl::queue q;
+      accessor_property_list PL{no_alias, no_offset, sycl::no_init};
+
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor acc_1(buf_data, PL);
+        static_assert(acc_1.has_property<property::no_alias>());
+        static_assert(acc_1.has_property<property::no_offset>());
+        assert(acc_1.has_property<sycl::property::no_init>());
+
+        static_assert(acc_1.get_property<property::no_alias>() == no_alias);
+        static_assert(acc_1.get_property<property::no_offset>() == no_offset);
+        // Should not throw "The property is not found"
+        auto noInit = acc_1.get_property<sycl::property::no_init>();
+      });
+      q.wait();
+    } catch (sycl::exception e) {
+      std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    }
+  }
+
+  // Test byte_size(), size(), max_size(), empty()
+  {
+    std::vector<char> vecChar(64, 'a');
+    std::vector<int> vecInt(32, 1);
+    std::vector<float> vecFloat(16, 1.0);
+    std::vector<IdxID3> vecCustom(8, {0, 0, 0});
+    TestAccSizeFuncs(vecChar);
+    TestAccSizeFuncs(vecInt);
+    TestAccSizeFuncs(vecFloat);
+    TestAccSizeFuncs(vecCustom);
+  }
+  // Test swap() on host_accessor
+  {
+    std::vector<int> vec1(8), vec2(16);
+    {
+      sycl::buffer<int> buf1(vec1.data(), vec1.size());
+      sycl::buffer<int> buf2(vec2.data(), vec2.size());
+      sycl::host_accessor acc1(buf1);
+      sycl::host_accessor acc2(buf2);
+      acc1.swap(acc2);
+      acc1[15] = 4;
+      acc2[7] = 4;
+    }
+    assert(vec1[7] == 4 && vec2[15] == 4);
+  }
+  // Test swap() on basic accessor
+  {
+    std::vector<int> vec1(8), vec2(16);
+    {
+      sycl::buffer<int> buf1(vec1.data(), vec1.size());
+      sycl::buffer<int> buf2(vec2.data(), vec2.size());
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor acc1(buf1, cgh);
+        sycl::accessor acc2(buf2, cgh);
+        acc1.swap(acc2);
+        cgh.single_task([=]() {
+          acc1[15] = 4;
+          acc2[7] = 4;
+        });
+      });
+    }
+    assert(vec1[7] == 4 && vec2[15] == 4);
+  }
+  // Test swap on local_accessor
+  {
+    size_t size1 = 0, size2 = 0;
+    {
+      sycl::buffer<size_t> buf1(&size1, 1);
+      sycl::buffer<size_t> buf2(&size2, 1);
+
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor acc1(buf1, cgh);
+        sycl::accessor acc2(buf2, cgh);
+        sycl::local_accessor<int, 1> locAcc1(8, cgh), locAcc2(16, cgh);
+        locAcc1.swap(locAcc2);
+        cgh.single_task([=]() {
+          acc1[0] = locAcc1.size();
+          acc2[0] = locAcc2.size();
+        });
+      });
+    }
+    assert(size1 == 16 && size2 == 8);
+  }
+  // Test iterator methods with 1D local_accessor
+  {
+    std::vector<int> v(32);
+    for (int i = 0; i < v.size(); ++i) {
+      v[i] = i;
+    }
+    testLocalAccIters(v);
+    for (int i = 0; i < v.size(); ++i)
+      assert(v[i] == ((i * 2 + 1) * 2 + 1));
+
+    for (int i = 0; i < v.size(); ++i) {
+      v[i] = i;
+    }
+    testLocalAccIters(v, true);
+    for (int i = 0; i < v.size(); ++i)
+      assert(v[i] == ((i * 2 + 1) + i));
+  }
+  // Test iterator methods with 2D local_accessor
+  {
+    std::vector<int> v(32);
+    for (int i = 0; i < v.size(); ++i) {
+      v[i] = i;
+    }
+    testLocalAccIters(v, false, true);
+    for (int i = 0; i < v.size(); ++i)
+      assert(v[i] == ((i * 2 + 1) * 2 + 1));
+
+    for (int i = 0; i < v.size(); ++i) {
+      v[i] = i;
+    }
+    testLocalAccIters(v, true, true);
+    for (int i = 0; i < v.size(); ++i)
+      assert(v[i] == ((i * 2 + 1) + i));
+  }
+
+  // Assignment operator test for 0-dim buffer accessor
+  {
+    sycl::queue Queue;
+    int Data = 32;
+
+    // Explicit block to prompt copy-back to Data
+    {
+      sycl::buffer<int, 1> DataBuffer(&Data, sycl::range<1>(1));
+
+      Queue.submit([&](sycl::handler &CGH) {
+        sycl::accessor<int, 0> Acc(DataBuffer, CGH);
+        CGH.single_task<class acc_0_dim_assignment>([=]() { Acc = 64; });
+      });
+      Queue.wait();
+    }
+
+    assert(Data == 64);
+  }
+
+  // Assignment operator test for 0-dim local accessor
+  {
+    sycl::queue Queue;
+    int Data = 0;
+
+    // Explicit block to prompt copy-back to Data
+    {
+      sycl::buffer<int, 1> DataBuffer(&Data, sycl::range<1>(1));
+
+      Queue.submit([&](sycl::handler &CGH) {
+        sycl::accessor<int, 0> Acc(DataBuffer, CGH);
+        sycl::local_accessor<int, 0> LocalAcc(CGH);
+        CGH.single_task<class local_acc_0_dim_assignment>([=]() {
+          LocalAcc = 64;
+          Acc = LocalAcc;
+        });
+      });
+    }
+
+    assert(Data == 64);
+  }
+
+  std::cout << "Test passed" << std::endl;
+}
diff --git a/sycl/test-e2e/Basic/accessor/device_accessor_deduction.cpp b/sycl/test-e2e/Basic/accessor/device_accessor_deduction.cpp
new file mode 100644
index 0000000000000..dd8cc836c3b46
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/device_accessor_deduction.cpp
@@ -0,0 +1,4 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Daccessor_new_api_test %S/Inputs/device_accessor.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Basic/accessor/get_device_access_deduction.cpp b/sycl/test-e2e/Basic/accessor/get_device_access_deduction.cpp
new file mode 100644
index 0000000000000..6e3fe38f22731
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/get_device_access_deduction.cpp
@@ -0,0 +1,4 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Dbuffer_new_api_test %S/Inputs/device_accessor.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Basic/accessor/get_host_access_deduction.cpp b/sycl/test-e2e/Basic/accessor/get_host_access_deduction.cpp
new file mode 100644
index 0000000000000..5767a3389ed57
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/get_host_access_deduction.cpp
@@ -0,0 +1,4 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Dbuffer_new_api_test %S/Inputs/host_accessor.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Basic/accessor/get_host_task_access_deduction.cpp b/sycl/test-e2e/Basic/accessor/get_host_task_access_deduction.cpp
new file mode 100644
index 0000000000000..129d173310d30
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/get_host_task_access_deduction.cpp
@@ -0,0 +1,4 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Dbuffer_new_api_test %S/Inputs/host_task_accessor.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Basic/accessor/host_accessor_deduction.cpp b/sycl/test-e2e/Basic/accessor/host_accessor_deduction.cpp
new file mode 100644
index 0000000000000..6b4b3d17a3c60
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/host_accessor_deduction.cpp
@@ -0,0 +1,4 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Daccessor_new_api_test %S/Inputs/host_accessor.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Basic/accessor/host_task_accessor_deduction.cpp b/sycl/test-e2e/Basic/accessor/host_task_accessor_deduction.cpp
new file mode 100644
index 0000000000000..d71b9adf987f5
--- /dev/null
+++ b/sycl/test-e2e/Basic/accessor/host_task_accessor_deduction.cpp
@@ -0,0 +1,4 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Daccessor_new_api_test %S/Inputs/host_task_accessor.cpp -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Basic/alloc_pinned_host_memory.cpp b/sycl/test-e2e/Basic/alloc_pinned_host_memory.cpp
new file mode 100644
index 0000000000000..0d8a0267504c0
--- /dev/null
+++ b/sycl/test-e2e/Basic/alloc_pinned_host_memory.cpp
@@ -0,0 +1,42 @@
+// REQUIRES: level_zero || cuda
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t2.out
+// RUN: env SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t2.out 2>&1 %GPU_L0_CHECK_PLACEHOLDER
+// RUN: %CPU_RUN_PLACEHOLDER %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+// RUN: %ACC_RUN_PLACEHOLDER %t2.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <string>
+
+using namespace sycl;
+
+int main() {
+  {
+    int data1[10] = {-1, -1, -1, -1, -1, -1, -1, -1, -1, -1};
+    {
+      buffer<int, 1> a(data1, range<1>(10), {property::buffer::use_host_ptr()});
+      buffer<int, 1> b(
+          range<1>(10),
+          {ext::oneapi::property::buffer::use_pinned_host_memory()});
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto A = a.get_access<access::mode::read_write>(cgh);
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class init_b>(range<1>{10}, [=](id<1> index) {
+          B[index] = 0;
+          A[index] = B[index] + 1;
+        });
+      });
+    } // Data is copied back because there is a user side shared_ptr
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == 1);
+  }
+}
+
+// CHECK:---> piMemBufferCreate
+// CHECK:---> piMemBufferCreate
+// CHECK-NEXT: {{.*}} : {{.*}}
+// CHECK-NEXT: {{.*}} : 17
diff --git a/sycl/test-e2e/Basic/aspects.cpp b/sycl/test-e2e/Basic/aspects.cpp
new file mode 100644
index 0000000000000..03041d7a24494
--- /dev/null
+++ b/sycl/test-e2e/Basic/aspects.cpp
@@ -0,0 +1,93 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='%sycl_be:*' %t.out
+//
+// Hip is missing some of the parameters tested here so it fails with NVIDIA
+// XFAIL: hip_nvidia
+
+//==--------------- aspects.cpp - SYCL device test ------------------------==//
+//
+// Returns the various aspects of a device  and platform.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// platform::has() calls device::has() for each device on the platform.
+
+int main() {
+  bool failed = false;
+  int pltIdx = 0;
+  for (const auto &plt : platform::get_platforms()) {
+    pltIdx++;
+    if (plt.has(aspect::cpu)) {
+      std::cout << "Platform #" << pltIdx
+                << " type: CPU supports:" << std::endl;
+    } else if (plt.has(aspect::gpu)) {
+      std::cout << "Platform #" << pltIdx
+                << " type: GPU supports:" << std::endl;
+    } else if (plt.has(aspect::accelerator)) {
+      std::cout << "Platform #" << pltIdx
+                << " type: Accelerator supports:" << std::endl;
+    } else if (plt.has(aspect::custom)) {
+      std::cout << "Platform #" << pltIdx
+                << " type: Custom supports:" << std::endl;
+    } else {
+      failed = true;
+      std::cout << "Failed: platform #" << pltIdx << " type: unknown"
+                << std::endl;
+      return 1;
+    }
+
+    if (plt.has(aspect::fp16)) {
+      std::cout << "  fp16" << std::endl;
+    }
+    if (plt.has(aspect::fp64)) {
+      std::cout << "  fp64" << std::endl;
+    }
+    if (plt.has(aspect::ext_oneapi_bfloat16_math_functions)) {
+      std::cout << " ext_oneapi_bfloat16_math_functions" << std::endl;
+    }
+    if (plt.has(aspect::atomic64)) {
+      std::cout << "  atomic64" << std::endl;
+    }
+    if (plt.has(aspect::image)) {
+      std::cout << "  images" << std::endl;
+    }
+    if (plt.has(aspect::online_compiler)) {
+      std::cout << "  online compiler" << std::endl;
+    }
+    if (plt.has(aspect::online_linker)) {
+      std::cout << "  online linker" << std::endl;
+    }
+    if (plt.has(aspect::queue_profiling)) {
+      std::cout << "  queue profiling" << std::endl;
+    }
+    if (plt.has(aspect::usm_device_allocations)) {
+      std::cout << "  USM allocations" << std::endl;
+    }
+    if (plt.has(aspect::usm_host_allocations)) {
+      std::cout << "  USM host allocations" << std::endl;
+    }
+    if (plt.has(aspect::usm_atomic_host_allocations)) {
+      std::cout << "  USM atomic host allocations" << std::endl;
+    }
+    if (plt.has(aspect::usm_shared_allocations)) {
+      std::cout << "  USM shared allocations" << std::endl;
+    }
+    if (plt.has(aspect::usm_atomic_shared_allocations)) {
+      std::cout << "  USM atomic shared allocations" << std::endl;
+    }
+    if (plt.has(aspect::usm_system_allocations)) {
+      std::cout << "  USM system allocations" << std::endl;
+    }
+  }
+  std::cout << "Passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/barrier_order.cpp b/sycl/test-e2e/Basic/barrier_order.cpp
new file mode 100644
index 0000000000000..1e4979ee49331
--- /dev/null
+++ b/sycl/test-e2e/Basic/barrier_order.cpp
@@ -0,0 +1,69 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Temporarily disabled on HIP, CUDA and L0 due to sporadic failures.
+// UNSUPPORTED: hip, level_zero, cuda
+
+#include <iostream>
+#include <stdlib.h>
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::device dev{sycl::default_selector_v};
+  sycl::queue q{dev};
+
+  unsigned long long *x = sycl::malloc_shared<unsigned long long>(1, q);
+
+  int error = 0;
+
+  // test barrier without arguments
+  *x = 0;
+  for (int i = 0; i < 64; i++) {
+    q.single_task([=]() {
+      // do some busywork
+      volatile float y = *x;
+      for (int j = 0; j < 100; j++) {
+        y = sycl::cos(y);
+      }
+      // update the value
+      *x *= 2;
+    });
+    q.ext_oneapi_submit_barrier();
+    q.single_task([=]() { *x += 1; });
+    q.ext_oneapi_submit_barrier();
+  }
+
+  std::cout << std::bitset<8 * sizeof(unsigned long long)>(*x) << std::endl;
+
+  q.wait_and_throw();
+  error |= (*x != (unsigned long long)-1);
+
+  // test barrier when events are passed arguments
+  *x = 0;
+  for (int i = 0; i < 64; i++) {
+    sycl::event e = q.single_task([=]() {
+      // do some busywork
+      volatile float y = *x;
+      for (int j = 0; j < 100; j++) {
+        y = sycl::cos(y);
+      }
+      // update the value
+      *x *= 2;
+    });
+    q.ext_oneapi_submit_barrier({e});
+    e = q.single_task([=]() { *x += 1; });
+    q.ext_oneapi_submit_barrier({e});
+  }
+
+  q.wait_and_throw();
+  error |= (*x != (unsigned long long)-1);
+
+  std::cout << std::bitset<8 * sizeof(unsigned long long)>(*x) << std::endl;
+
+  std::cout << (error ? "failed\n" : "passed\n");
+
+  sycl::free(x, q);
+
+  return error;
+}
diff --git a/sycl/test-e2e/Basic/bit_cast/bit_cast.cpp b/sycl/test-e2e/Basic/bit_cast/bit_cast.cpp
new file mode 100644
index 0000000000000..dfaf77ba1c88d
--- /dev/null
+++ b/sycl/test-e2e/Basic/bit_cast/bit_cast.cpp
@@ -0,0 +1,89 @@
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <math.h>
+#include <type_traits>
+
+constexpr sycl::access::mode sycl_write = sycl::access::mode::write;
+
+template <typename To, typename From> class BitCastKernel;
+
+template <typename To, typename From>
+To doBitCast(sycl::queue Queue, const From &ValueToConvert) {
+  std::vector<To> Vec(1);
+  {
+    sycl::buffer<To, 1> Buf(Vec.data(), 1);
+    Queue.submit([&](sycl::handler &cgh) {
+      auto acc = Buf.template get_access<sycl_write>(cgh);
+      cgh.single_task<class BitCastKernel<To, From>>([=]() {
+        acc[0] = sycl::bit_cast<To>(ValueToConvert);
+      });
+    });
+  }
+  return Vec[0];
+}
+
+template <typename To, typename From>
+int test(sycl::queue Queue, const From &Value) {
+  auto ValueConvertedTwoTimes =
+      doBitCast<From>(Queue, doBitCast<To>(Queue, Value));
+  bool isOriginalValueEqualsToConvertedTwoTimes = false;
+  if (std::is_integral<From>::value) {
+    isOriginalValueEqualsToConvertedTwoTimes = Value == ValueConvertedTwoTimes;
+  } else if ((std::is_floating_point<From>::value) ||
+             std::is_same<From, sycl::half>::value) {
+    static const float Epsilon = 0.0000001f;
+    isOriginalValueEqualsToConvertedTwoTimes =
+        fabs(Value - ValueConvertedTwoTimes) < Epsilon;
+  } else {
+    std::cerr << "Type " << typeid(From).name()
+              << " neither integral nor floating point nor sycl::half\n";
+    return 1;
+  }
+  if (!isOriginalValueEqualsToConvertedTwoTimes) {
+    std::cerr << "FAIL: Original value which is " << Value
+              << " != value converted two times which is "
+              << ValueConvertedTwoTimes << "\n";
+    return 1;
+  }
+  std::cout << "PASS\n";
+  return 0;
+}
+
+int main() {
+  sycl::queue Queue;
+  int ReturnCode = 0;
+
+  if (Queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "sycl::half to unsigned short ...\n";
+    ReturnCode += test<unsigned short>(Queue, sycl::half(1.0f));
+
+    std::cout << "unsigned short to sycl::half ...\n";
+    ReturnCode += test<sycl::half>(Queue, static_cast<unsigned short>(16384));
+
+    std::cout << "sycl::half to short ...\n";
+    ReturnCode += test<short>(Queue, sycl::half(1.0f));
+
+    std::cout << "short to sycl::half ...\n";
+    ReturnCode += test<sycl::half>(Queue, static_cast<short>(16384));
+  }
+
+  std::cout << "int to float ...\n";
+  ReturnCode += test<float>(Queue, static_cast<int>(2));
+
+  std::cout << "float to int ...\n";
+  ReturnCode += test<int>(Queue, static_cast<float>(-2.4f));
+
+  std::cout << "unsigned int to float ...\n";
+  ReturnCode += test<float>(Queue, static_cast<unsigned int>(6));
+
+  std::cout << "float to unsigned int ...\n";
+  ReturnCode += test<unsigned int>(Queue, static_cast<float>(-2.4f));
+
+  return ReturnCode;
+}
diff --git a/sycl/test-e2e/Basic/boolean.cpp b/sycl/test-e2e/Basic/boolean.cpp
new file mode 100644
index 0000000000000..ac1c319275f4b
--- /dev/null
+++ b/sycl/test-e2e/Basic/boolean.cpp
@@ -0,0 +1,148 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+namespace s = sycl;
+namespace d = s::detail;
+
+d::Boolean<3> foo() {
+  d::Boolean<3> b3{true, false, true};
+  return b3;
+}
+
+int main() {
+  {
+    s::long4 r{0};
+    {
+      buffer<s::long4, 1> BufR(&r, range<1>(1));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto AccR = BufR.get_access<access::mode::write>(cgh);
+        cgh.single_task<class b4_l4>([=]() {
+          d::Boolean<4> b4{false, true, false, false};
+          AccR[0] = b4;
+        });
+      });
+    }
+    long long r1 = r.s0();
+    long long r2 = r.s1();
+    long long r3 = r.s2();
+    long long r4 = r.s3();
+
+    std::cout << "r1 " << r1 << " r2 " << r2 << " r3 " << r3 << " r4 " << r4
+              << std::endl;
+
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == 0);
+  }
+
+  {
+    s::short3 r{0};
+    {
+      buffer<s::short3, 1> BufR(&r, range<1>(1));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto AccR = BufR.get_access<access::mode::write>(cgh);
+        cgh.single_task<class b3_sh3>([=]() { AccR[0] = foo(); });
+      });
+    }
+    short r1 = r.s0();
+    short r2 = r.s1();
+    short r3 = r.s2();
+
+    std::cout << "r1 " << r1 << " r2 " << r2 << " r3 " << r3 << std::endl;
+
+    assert(r1 == -1);
+    assert(r2 == 0);
+    assert(r3 == -1);
+  }
+
+  {
+    int r1[6];
+    int r2[6];
+    {
+      buffer<int, 1> BufR1(r1, range<1>(6));
+      buffer<int, 1> BufR2(r2, range<1>(6));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto AccR1 = BufR1.get_access<access::mode::write>(cgh);
+        auto AccR2 = BufR2.get_access<access::mode::write>(cgh);
+        cgh.single_task<class size_align>([=]() {
+          AccR1[0] = sizeof(d::Boolean<1>);
+          AccR1[1] = sizeof(d::Boolean<2>);
+          AccR1[2] = sizeof(d::Boolean<3>);
+          AccR1[3] = sizeof(d::Boolean<4>);
+          AccR1[4] = sizeof(d::Boolean<8>);
+          AccR1[5] = sizeof(d::Boolean<16>);
+
+          AccR2[0] = alignof(d::Boolean<1>);
+          AccR2[1] = alignof(d::Boolean<2>);
+          AccR2[2] = alignof(d::Boolean<3>);
+          AccR2[3] = alignof(d::Boolean<4>);
+          AccR2[4] = alignof(d::Boolean<8>);
+          AccR2[5] = alignof(d::Boolean<16>);
+        });
+      });
+    }
+
+    for (size_t I = 0; I < 6; I++) {
+      std::cout << " r1[" << I << "] " << r1[I];
+    }
+    std::cout << std::endl;
+
+    for (size_t I = 0; I < 6; I++) {
+      std::cout << " r2[" << I << "] " << r2[I];
+    }
+    std::cout << std::endl;
+    assert(r1[0] == sizeof(d::Boolean<1>));
+    assert(r1[1] == sizeof(d::Boolean<2>));
+    assert(r1[2] == sizeof(d::Boolean<3>));
+    assert(r1[3] == sizeof(d::Boolean<4>));
+    assert(r1[4] == sizeof(d::Boolean<8>));
+    assert(r1[5] == sizeof(d::Boolean<16>));
+
+    assert(r2[0] == alignof(d::Boolean<1>));
+    assert(r2[1] == alignof(d::Boolean<2>));
+    assert(r2[2] == alignof(d::Boolean<3>));
+    assert(r2[3] == alignof(d::Boolean<4>));
+    assert(r2[4] == alignof(d::Boolean<8>));
+    assert(r2[5] == alignof(d::Boolean<16>));
+  }
+
+  {
+    s::int4 i4 = {1, -2, 0, -3};
+    d::Boolean<4> b4(i4);
+    i4 = b4;
+
+    int r1 = i4.s0();
+    int r2 = i4.s1();
+    int r3 = i4.s2();
+    int r4 = i4.s3();
+
+    std::cout << "r1 " << r1 << " r2 " << r2 << " r3 " << r3 << " r4 " << r4
+              << std::endl;
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == -1);
+  }
+
+  {
+    int r1 = d::Boolean<1>(int{-1});
+    int r2 = d::Boolean<1>(int{0});
+    int r3 = d::Boolean<1>(int{1});
+    std::cout << "r1 " << r1 << " r2 " << r2 << " r3 " << r3 << std::endl;
+    assert(r1 == 1);
+    assert(r2 == 0);
+    assert(r3 == 1);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/buffer/buffer.cpp b/sycl/test-e2e/Basic/buffer/buffer.cpp
new file mode 100644
index 0000000000000..39fa00c0b7037
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer.cpp
@@ -0,0 +1,702 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t2.out
+// RUN: %CPU_RUN_PLACEHOLDER %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+// RUN: %ACC_RUN_PLACEHOLDER %t2.out
+
+//==------------------- buffer.cpp - SYCL buffer basic test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iostream>
+#include <memory>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  int data = 5;
+  bool failed = false;
+  buffer<int, 1> buf(&data, range<1>(1));
+  {
+    int data1[10] = {-1, -1, -1, -1, -1, -1, -1, -1, -1, -1};
+    {
+      buffer<int, 1> b(data1, range<1>(10), {property::buffer::use_host_ptr()});
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class init_a>(range<1>{10},
+                                       [=](id<1> index) { B[index] = 0; });
+      });
+
+    } // Data is copied back because there is a user side shared_ptr
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == 0);
+  }
+
+  {
+    std::vector<int> data1(10, -1);
+    {
+      buffer<int, 1> b(data1.data(), range<1>(10));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class init_b>(range<1>{10},
+                                       [=](id<1> index) { B[index] = 0; });
+      });
+
+    } // Data is copied back because there is a user side shared_ptr
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == 0);
+  }
+
+  {
+    const size_t bufsSize = 10;
+    std::vector<int> res(bufsSize);
+    std::shared_ptr<int> ptr1{new int[bufsSize], [](int *p) { delete[] p; }};
+    for (int *ptr = ptr1.get(), *end = ptr + bufsSize; ptr < end; ++ptr) {
+      *ptr = -1;
+    }
+    {
+      buffer<int, 1> b(ptr1, range<1>(bufsSize));
+      buffer<int, 1> d((range<1>(bufsSize)));
+      buffer<int, 1> e(res.data(), range<1>(bufsSize));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        auto D = d.get_access<access::mode::write>(cgh);
+        auto E = e.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class init_c>(range<1>{bufsSize}, [=](id<1> index) {
+          B[index]++;
+          D[index] = B[index] + B[index] + 1;
+          E[index] = D[index] * (B[index] + 1) - 1;
+        });
+      });
+    } // Data is copied back because there is a user side shared_ptr
+    for (int i = 0; i < bufsSize; i++) {
+      assert(ptr1.get()[i] == 0);
+      assert(res[i] == 0);
+    }
+  }
+
+  {
+    std::cout << "move constructor" << std::endl;
+    int data = 5;
+    buffer<int, 1> Buffer(&data, range<1>(1));
+    size_t hash = std::hash<buffer<int, 1>>()(Buffer);
+    buffer<int, 1> MovedBuffer(std::move(Buffer));
+    assert(hash == (std::hash<buffer<int, 1>>()(MovedBuffer)));
+    assert(MovedBuffer.get_range() == range<1>(1));
+    assert(MovedBuffer.get_size() == (sizeof(data) * 1));
+    assert(MovedBuffer.get_count() == 1);
+  }
+
+  {
+    std::cout << "move assignment operator" << std::endl;
+    int data = 5;
+    buffer<int, 1> Buffer(&data, range<1>(1));
+    size_t hash = std::hash<buffer<int, 1>>()(Buffer);
+    int data_2 = 4;
+    buffer<int, 1> WillMovedBuffer(&data, range<1>(1));
+    WillMovedBuffer = std::move(Buffer);
+    assert(hash == (std::hash<buffer<int, 1>>()(WillMovedBuffer)));
+    assert(WillMovedBuffer.get_range() == range<1>(1));
+    assert(WillMovedBuffer.get_size() == (sizeof(data) * 1));
+    assert(WillMovedBuffer.get_count() == 1);
+  }
+
+  {
+    std::cout << "copy constructor" << std::endl;
+    int data = 5;
+    buffer<int, 1> Buffer(&data, range<1>(1));
+    size_t hash = std::hash<buffer<int, 1>>()(Buffer);
+    buffer<int, 1> BufferCopy(Buffer);
+    assert(hash == (std::hash<buffer<int, 1>>()(Buffer)));
+    assert(hash == (std::hash<buffer<int, 1>>()(BufferCopy)));
+    assert(Buffer == BufferCopy);
+    assert(BufferCopy.get_range() == range<1>(1));
+    assert(BufferCopy.get_size() == (sizeof(data) * 1));
+    assert(BufferCopy.get_count() == 1);
+  }
+
+  {
+    std::cout << "copy assignment operator" << std::endl;
+    int data = 5;
+    buffer<int, 1> Buffer(&data, range<1>(1));
+    size_t hash = std::hash<buffer<int, 1>>()(Buffer);
+    int data_2 = 4;
+    buffer<int, 1> WillBufferCopy(&data_2, range<1>(1));
+    WillBufferCopy = Buffer;
+    assert(hash == (std::hash<buffer<int, 1>>()(Buffer)));
+    assert(hash == (std::hash<buffer<int, 1>>()(WillBufferCopy)));
+    assert(Buffer == WillBufferCopy);
+    assert(WillBufferCopy.get_range() == range<1>(1));
+    assert(WillBufferCopy.get_size() == (sizeof(data) * 1));
+    assert(WillBufferCopy.get_count() == 1);
+  }
+
+  auto checkAllOf = [](const int *const array, size_t n, int v, int line) {
+    for (size_t i = 0; i < n; ++i) {
+      if (array[i] != v) {
+        std::cout << "line: " << line << " array[" << i << "] is " << array[i]
+                  << " expected " << v << std::endl;
+        assert(false);
+      }
+    }
+  };
+
+  {
+    int data[10] = {0};
+    int result[10] = {0};
+    {
+      buffer<int, 1> Buffer(data, range<1>(10));
+      Buffer.set_final_data(nullptr);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class Nullptr>(range<1>{10},
+                                        [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result, 10, 0, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    int result[10] = {0};
+    {
+      buffer<int, 1> Buffer(data, range<1>(10));
+      Buffer.set_final_data(result);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class rawPointer>(range<1>{10},
+                                           [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result, 10, 1, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    std::shared_ptr<int[]> result(new int[10]());
+    {
+      buffer<int, 1> Buffer(data, range<1>(10));
+      std::weak_ptr<int[]> resultWeak = result;
+      Buffer.set_final_data(resultWeak);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class weakPointer>(range<1>{10},
+                                            [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result.get(), 10, 1, __LINE__);
+  }
+
+  {
+    int data[10] = {0};
+    std::shared_ptr<int[]> result(new int[10]());
+    {
+      buffer<int, 1> Buffer(data, range<1>(10));
+      Buffer.set_final_data(result);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class sharedPointer>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result.get(), 10, 1, __LINE__);
+  }
+
+  {
+    int data[10] = {0};
+    int result[10] = {0};
+    // Creation of shared_ptr from a static array
+    // It's need for for check that a copyback did not happen
+    std::shared_ptr<int> resultShared(result, [](int const *) {});
+    {
+      buffer<int, 1> Buffer(data, range<1>(10));
+      std::weak_ptr<int> resultWeak = resultShared;
+      Buffer.set_final_data(resultWeak);
+      queue myQueue;
+      resultShared.reset();
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class sharedPointerAndReset>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    assert(resultShared.get() == nullptr);
+    checkAllOf(result, 10, 0, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    std::vector<int> result(10, 0);
+    {
+      buffer<int, 1> Buffer(data, range<1>(10));
+      Buffer.set_final_data(result.begin());
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class vectorIterator>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result.data(), 10, 1, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    int result[10] = {0};
+    {
+      buffer<int, 1> Buffer(data, range<1>(10),
+                            {property::buffer::use_host_ptr()});
+      Buffer.set_final_data(nullptr);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class nullptAndUseHost>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result, 10, 0, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    int result[10] = {0};
+    {
+      buffer<int, 1> Buffer(data, range<1>(10),
+                            {property::buffer::use_host_ptr()});
+      Buffer.set_final_data(result);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class rawPointerAndUseHost>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result, 10, 1, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    std::shared_ptr<int[]> result(new int[10]());
+    {
+      buffer<int, 1> Buffer(data, range<1>(10),
+                            {property::buffer::use_host_ptr()});
+      std::weak_ptr<int[]> resultWeak = result;
+      Buffer.set_final_data(resultWeak);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class sharedPointerUseHost>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result.get(), 10, 1, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    int result[10] = {0};
+    // Creation of shared_ptr from a static array
+    // It's need for for check that a copyback did not happen
+    std::shared_ptr<int> resultShared(result, [](int const *) {});
+    {
+      buffer<int, 1> Buffer(data, range<1>(10),
+                            {property::buffer::use_host_ptr()});
+      std::weak_ptr<int> resultWeak = resultShared;
+      Buffer.set_final_data(resultWeak);
+      queue myQueue;
+      resultShared.reset();
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class sharedPointerAndResetUseHost>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    assert(resultShared.get() == nullptr);
+    checkAllOf(result, 10, 0, __LINE__);
+  }
+  {
+    int data[10] = {0};
+    std::vector<int> result(10, 0);
+    {
+      buffer<int, 1> Buffer(data, range<1>(10),
+                            {property::buffer::use_host_ptr()});
+      Buffer.set_final_data(result.begin());
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class vectorIteratorAndUseHost>(
+            range<1>{10}, [=](id<1> index) { B[index] = 1; });
+      });
+    }
+    checkAllOf(result.data(), 10, 1, __LINE__);
+  }
+
+  {
+    int result[20][20] = {0};
+    {
+      buffer<int, 2> Buffer(range<2>(20, 20));
+      Buffer.set_final_data((int *)result);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class bufferByRange2Init>(
+            range<2>{20, 20}, [=](id<2> index) { B[index] = 0; });
+      });
+
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class bufferByRange2>(
+            range<2>{10, 10}, [=](id<2> index) { B[index] = 1; });
+      });
+    }
+
+    for (size_t i = 0; i < 20; ++i) {
+      for (size_t j = 0; j < 20; ++j) {
+        if (i < 10 && j < 10) {
+          if (result[i][j] != 1) {
+            std::cout << "line: " << __LINE__ << " result[" << i << "][" << j
+                      << "] is " << result[i][j] << " expected " << 1
+                      << std::endl;
+            assert(false);
+          }
+        } else {
+          if (result[i][j] != 0) {
+            std::cout << "line: " << __LINE__ << " result[" << i << "][" << j
+                      << "] is " << result[i][j] << " expected " << 0
+                      << std::endl;
+            assert(false);
+          }
+        }
+      }
+    }
+  }
+
+  {
+    int result[20][20] = {0};
+    {
+      buffer<int, 2> Buffer(range<2>(20, 20));
+      Buffer.set_final_data((int *)result);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = Buffer.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class bufferByRangeOffsetInit>(
+            range<2>{20, 20}, [=](id<2> index) { B[index] = 0; });
+      });
+
+      myQueue.submit([&](handler &cgh) {
+        accessor<int, 2, access::mode::write, access::target::device,
+                 access::placeholder::false_t>
+            B(Buffer, cgh, range<2>(10, 10), id<2>(10, 10));
+        cgh.parallel_for<class bufferByRangeOffset>(
+            range<2>{10, 5}, [=](id<2> index) { B[index] = 1; });
+      });
+    }
+
+    for (size_t i = 0; i < 20; ++i) {
+      for (size_t j = 0; j < 20; ++j) {
+        if (i >= 10 && j >= 10 && j < 15) {
+          if (result[i][j] != 1) {
+            std::cout << "line: " << __LINE__ << " result[" << i << "][" << j
+                      << "] is " << result[i][j] << " expected " << 1
+                      << std::endl;
+            assert(false);
+          }
+        } else {
+          if (result[i][j] != 0) {
+            std::cout << "line: " << __LINE__ << " result[" << i << "][" << j
+                      << "] is " << result[i][j] << " expected " << 0
+                      << std::endl;
+            assert(false);
+          }
+        }
+      }
+    }
+  }
+
+  {
+    std::vector<int> data1(10, -1);
+    {
+      buffer<int, 1> b(data1.begin() + 2, data1.begin() + 5);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class iter_constuctor>(
+            range<1>{3}, [=](id<1> index) { B[index] = 20; });
+      });
+    }
+    // Data is not copied back in the destruction of the buffer created
+    // from a pair of non-const iterators
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == -1);
+  }
+
+  // Check that data is not copied back in the desctruction of the buffer
+  // created from pair of const iterators
+  {
+    std::vector<int> data1(10, -1);
+    {
+      buffer<int, 1> b(data1.cbegin() + 2, data1.cbegin() + 5);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class const_iter_constuctor>(
+            range<1>{3}, [=](id<1> index) { B[index] = 20; });
+      });
+    }
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == -1);
+  }
+
+  // Check that data is copied back when using set_final_data for the buffer
+  // created from pair of iterators
+  {
+    std::vector<int> data1(10, -1);
+    std::vector<int> data2(10, -1);
+    {
+      buffer<int, 1> b(data1.begin() + 2, data1.begin() + 5);
+      b.set_final_data(data2.begin() + 2);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class iter_constuctor_set_final_data>(
+            range<1>{3}, [=](id<1> index) { B[index] = 20; });
+      });
+    }
+    for (int i = 0; i < 2; i++)
+      assert(data2[i] == -1);
+    for (int i = 2; i < 5; i++)
+      assert(data2[i] == 20);
+    for (int i = 5; i < 10; i++)
+      assert(data2[i] == -1);
+  }
+
+  // Check that data is copied back after forcing write-back using
+  // set_write_back
+  {
+    std::vector<int> data1(10, -1);
+    {
+      buffer<int, 1> b(range<1>(10));
+      b.set_final_data(data1.data());
+      b.set_write_back(true);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class wb>(range<1>{10},
+                                   [=](id<1> index) { B[index] = 0; });
+      });
+    }
+    // Data is copied back because there is a user side ptr and write-back is
+    // enabled
+    for (int i = 0; i < 10; i++)
+      if (data1[i] != 0) {
+        assert(false);
+        failed = true;
+      }
+  }
+
+  // Check that data is copied back after forcing write-back using
+  // set_write_back
+  {
+    size_t size = 32;
+    const size_t dims = 1;
+    sycl::range<dims> r(size);
+
+    std::shared_ptr<bool> bool_shrd(new bool[size],
+                                    [](bool *data) { delete[] data; });
+    std::shared_ptr<int> int_shrd(new int[size],
+                                  [](int *data) { delete[] data; });
+    std::shared_ptr<float> float_shrd(new float[size],
+                                      [](float *data) { delete[] data; });
+
+    std::vector<bool> bool_vector;
+    std::vector<int> int_vector;
+    std::vector<float> float_vector;
+    bool_vector.reserve(size);
+    int_vector.reserve(size);
+    float_vector.reserve(size);
+
+    sycl::queue Queue;
+    std::mutex m;
+    {
+      sycl::buffer<bool, dims> buf_bool_shrd(
+          bool_shrd, r,
+          sycl::property_list{sycl::property::buffer::use_mutex(m)});
+      sycl::buffer<int, dims> buf_int_shrd(
+          int_shrd, r,
+          sycl::property_list{sycl::property::buffer::use_mutex(m)});
+      sycl::buffer<float, dims> buf_float_shrd(
+          float_shrd, r,
+          sycl::property_list{sycl::property::buffer::use_mutex(m)});
+      m.lock();
+      std::fill(bool_shrd.get(), (bool_shrd.get() + size), bool());
+      std::fill(int_shrd.get(), (int_shrd.get() + size), int());
+      std::fill(float_shrd.get(), (float_shrd.get() + size), float());
+      m.unlock();
+
+      buf_bool_shrd.set_final_data(bool_vector.begin());
+      buf_int_shrd.set_final_data(int_vector.begin());
+      buf_float_shrd.set_final_data(float_vector.begin());
+      buf_bool_shrd.set_write_back(true);
+      buf_int_shrd.set_write_back(true);
+      buf_float_shrd.set_write_back(true);
+
+      Queue.submit([&](sycl::handler &cgh) {
+        auto Accessor_bool =
+            buf_bool_shrd.get_access<sycl::access::mode::write>(cgh);
+        auto Accessor_int =
+            buf_int_shrd.get_access<sycl::access::mode::write>(cgh);
+        auto Accessor_float =
+            buf_float_shrd.get_access<sycl::access::mode::write>(cgh);
+        cgh.parallel_for<class FillBuffer>(r, [=](sycl::id<1> WIid) {
+          Accessor_bool[WIid] = true;
+          Accessor_int[WIid] = 3;
+          Accessor_float[WIid] = 7.5;
+        });
+      });
+    } // Data is copied back
+
+    for (size_t i = 0; i < size; i++) {
+      if (bool_vector[i] != true || int_vector[i] != 3 ||
+          float_vector[i] != 7.5) {
+        assert(false && "Data was not copied back");
+        return 1;
+      }
+    }
+  }
+
+  // Check that data is not copied back after canceling write-back using
+  // set_write_back
+  {
+    std::vector<int> data1(10, -1);
+    {
+      buffer<int, 1> b(range<1>(10));
+      b.set_final_data(data1.data());
+      b.set_write_back(false);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class notwb>(range<1>{10},
+                                      [=](id<1> index) { B[index] = 0; });
+      });
+    }
+    // Data is not copied back because write-back is canceled
+    for (int i = 0; i < 10; i++)
+      if (data1[i] != -1) {
+        assert(false);
+        failed = true;
+      }
+  }
+
+  {
+    std::vector<int> data1(10, -1);
+    std::vector<int> data2(10, -2);
+    {
+      buffer<int, 1> a(data1.data(), range<1>(10));
+      buffer<int, 1> b(data2.data(), range<1>(10));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto A = a.get_access<access::mode::read_write>(cgh);
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class override_lambda>(
+            range<1>{10}, [=](id<1> index) { A[index] = 0; });
+      });
+    } // Data is copied back
+    for (int i = 0; i < 10; i++)
+      assert(data2[i] == -2);
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == 0);
+  }
+
+  {
+    std::vector<int> data1(10, -1);
+    std::vector<int> data2(10, -2);
+    {
+      buffer<int, 1> a(data1.data(), range<1>(10));
+      buffer<int, 1> b(data2);
+      accessor<int, 1, access::mode::read_write, access::target::device,
+               access::placeholder::true_t>
+          A(a);
+      accessor<int, 1, access::mode::read_write, access::target::device,
+               access::placeholder::true_t>
+          B(b);
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        cgh.require(A);
+        cgh.require(B);
+        cgh.parallel_for<class override_lambda_placeholder>(
+            range<1>{10}, [=](id<1> index) { A[index] = 0; });
+      });
+    } // Data is copied back
+    for (int i = 0; i < 10; i++)
+      assert(data2[i] == -2);
+    for (int i = 0; i < 10; i++)
+      assert(data1[i] == 0);
+  }
+
+  {
+    int data[10];
+    void *voidPtr = (void *)data;
+    buffer<int, 1> b(range<1>(10));
+    b.set_final_data(voidPtr);
+  }
+
+  {
+    std::allocator<float8> buf_alloc;
+    std::shared_ptr<float8> data(new float8[8], [](float8 *p) { delete[] p; });
+    sycl::buffer<float8, 1, std::allocator<float8>> b(data, sycl::range<1>(8),
+                                                      buf_alloc);
+  }
+
+  {
+    constexpr int Size = 6;
+    sycl::buffer<char, 1> Buf_1(Size);
+    sycl::buffer<char, 1> Buf_2(Size / 2);
+
+    {
+      auto AccA = Buf_1.get_access<sycl::access::mode::read_write>(Size / 2);
+      auto AccB = Buf_2.get_access<sycl::access::mode::read_write>(Size / 2);
+      assert(AccA.get_size() == AccB.get_size());
+      assert(AccA.get_range() == AccB.get_range());
+      assert(AccA.get_count() == AccB.get_count());
+    }
+
+    auto AH0 = accessor<char, 0, access::mode::read_write,
+                        access::target::host_buffer>(Buf_1);
+    auto BH0 = accessor<char, 0, access::mode::read_write,
+                        access::target::host_buffer>(Buf_2);
+    assert(AH0.get_size() == sizeof(char));
+    assert(BH0.get_size() == sizeof(char));
+    assert(AH0.get_count() == 1);
+    assert(BH0.get_count() == 1);
+
+    queue Queue;
+    Queue.submit([&](handler &CGH) {
+      auto AK0 =
+          accessor<char, 0, access::mode::read_write, access::target::device>(
+              Buf_1, CGH);
+      auto BK0 =
+          accessor<char, 0, access::mode::read_write, access::target::device>(
+              Buf_2, CGH);
+      assert(AK0.get_size() == sizeof(char));
+      assert(BK0.get_size() == sizeof(char));
+      assert(AK0.get_count() == 1);
+      assert(BK0.get_count() == 1);
+      CGH.single_task<class DummyKernel>([]() {});
+    });
+  }
+
+  {
+    int data = 5;
+    buffer<int, 1> Buffer(&data, range<1>(1));
+    assert(Buffer.size() == 1);
+    assert(Buffer.byte_size() == 1 * sizeof(int));
+  }
+
+  // TODO tests with mutex property
+  return failed;
+}
diff --git a/sycl/test-e2e/Basic/buffer/buffer_allocator.cpp b/sycl/test-e2e/Basic/buffer/buffer_allocator.cpp
new file mode 100644
index 0000000000000..88815c22d071a
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_allocator.cpp
@@ -0,0 +1,75 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='opencl:*' %CPU_RUN_PLACEHOLDER %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='opencl:*' %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='opencl:*' %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- buffer_allocator.cpp - SYCL buffer allocator tests ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// Tests that the default and explicit buffer_allocator used by buffers are as
+// defined by the spec and will allocate the right amount of memory on the
+// device.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+constexpr size_t NumElems = 67;
+
+template <typename T> class TestKernel;
+
+template <typename T, typename AllocT>
+bool checkResult(sycl::buffer<T, 1, AllocT> &Buf, size_t N, std::string &TName,
+                 std::string AllocTName) {
+  auto HostAcc = Buf.get_host_access();
+
+  bool Success = true;
+  for (size_t I = 0; I < NumElems; ++I) {
+    if (HostAcc[I] != static_cast<T>(I)) {
+      std::cout << "Wrong value was written at index " << I << " for buffer<"
+                << TName << ", 1, " << AllocTName << ">" << std::endl;
+      Success = false;
+    }
+  }
+  return Success;
+}
+
+template <typename T> bool runTest(sycl::queue &Q, std::string TName) {
+  sycl::buffer<T, 1> DefaultBuf{NumElems};
+
+  static_assert(std::is_same_v<decltype(DefaultBuf),
+                               sycl::buffer<T, 1, sycl::buffer_allocator<T>>>);
+
+  sycl::buffer<T, 1, sycl::buffer_allocator<char>> CharAllocBuf{NumElems};
+  sycl::buffer<T, 1, sycl::buffer_allocator<long>> LongAllocBuf{NumElems};
+
+  Q.submit([&](sycl::handler &CGH) {
+     auto DefaultAcc = DefaultBuf.get_access(CGH);
+     auto CharAllocAcc = CharAllocBuf.get_access(CGH);
+     auto LongAllocAcc = LongAllocBuf.get_access(CGH);
+     CGH.parallel_for<TestKernel<T>>(NumElems, [=](sycl::item<1> It) {
+       DefaultAcc[It] = static_cast<T>(It[0]);
+       CharAllocAcc[It] = static_cast<T>(It[0]);
+       LongAllocAcc[It] = static_cast<T>(It[0]);
+     });
+   }).wait();
+
+  return checkResult(DefaultBuf, NumElems, TName,
+                     "buffer_allocator<" + TName + ">") &&
+         checkResult(CharAllocBuf, NumElems, TName, "buffer_allocator<char>") &&
+         checkResult(LongAllocBuf, NumElems, TName, "buffer_allocator<long>");
+}
+
+#define RUN_TEST(TYPE, Q) runTest<TYPE>(Q, #TYPE)
+
+int main() {
+  sycl::queue Queue;
+  return !(RUN_TEST(char, Queue) && RUN_TEST(unsigned short, Queue) &&
+           RUN_TEST(float, Queue) && RUN_TEST(long, Queue));
+}
+
+#undef RUN_TEST
diff --git a/sycl/test-e2e/Basic/buffer/buffer_container.cpp b/sycl/test-e2e/Basic/buffer/buffer_container.cpp
new file mode 100644
index 0000000000000..d39d619345b98
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_container.cpp
@@ -0,0 +1,27 @@
+// RUN: %clangxx %cxx_std_optionc++17 -fsycl -fsycl-targets=%sycl_triple %s -o %t2.out
+// RUN: %CPU_RUN_PLACEHOLDER %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+// RUN: %ACC_RUN_PLACEHOLDER %t2.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  // buffer created from contiguous container copies back
+  {
+    constexpr int num = 10;
+    std::vector<int> out_data(num, -1);
+    {
+      buffer A(out_data);
+      queue Q;
+      Q.submit([&](handler &h) {
+        auto out = A.get_access<access::mode::write>(h);
+        h.parallel_for<class containerBuffer>(A.get_range(),
+                                              [out](id<1> i) { out[i] = 1; });
+      });
+    } //~buffer
+    for (int i = 0; i < num; i++)
+      assert(out_data[i] == 1);
+  }
+}
diff --git a/sycl/test-e2e/Basic/buffer/buffer_create.cpp b/sycl/test-e2e/Basic/buffer/buffer_create.cpp
new file mode 100644
index 0000000000000..fa890aa78a815
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_create.cpp
@@ -0,0 +1,32 @@
+// REQUIRES: gpu,level_zero
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr int Size = 100;
+  queue Queue;
+  auto D = Queue.get_device();
+  auto NumOfDevices = Queue.get_context().get_devices().size();
+  buffer<::cl_int, 1> Buffer(Size);
+  Queue.submit([&](handler &cgh) {
+    accessor Accessor{Buffer, cgh, read_write};
+    if (D.get_info<info::device::host_unified_memory>())
+      std::cerr << "Integrated GPU should use zeMemAllocHost\n";
+    else
+      std::cerr << "Discrete GPU should use zeMemAllocDevice\n";
+    cgh.parallel_for<class CreateBuffer>(range<1>(Size),
+                                         [=](id<1> ID) { Accessor[ID] = 0; });
+  });
+  Queue.wait();
+
+  return 0;
+}
+
+// CHECK: {{Integrated|Discrete}} GPU should use [[API:zeMemAllocHost|zeMemAllocDevice]]
+// CHECK: ZE ---> [[API]](
diff --git a/sycl/test-e2e/Basic/buffer/buffer_dev_to_dev.cpp b/sycl/test-e2e/Basic/buffer/buffer_dev_to_dev.cpp
new file mode 100644
index 0000000000000..aab4596dc771a
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_dev_to_dev.cpp
@@ -0,0 +1,53 @@
+// FIXME flaky fail on HIP
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- buffer_dev_to_dev.cpp - SYCL buffer basic test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <memory>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  int Data[10] = {-1, -1, -1, -1, -1, -1, -1, -1, -1, -1};
+  {
+    buffer<int, 1> Buffer(Data, range<1>(10),
+                          {property::buffer::use_host_ptr()});
+
+    device Device(default_selector_v);
+
+    context FirstContext(Device);
+    context SecondContext(Device);
+
+    queue FirstQueue(FirstContext, Device);
+    queue SecondQueue(SecondContext, Device);
+
+    assert(FirstQueue.get_context() != SecondQueue.get_context());
+    FirstQueue.submit([&](handler &Cgh) {
+      auto Accessor = Buffer.get_access<access::mode::read_write>(Cgh);
+      Cgh.parallel_for<class init_b>(range<1>{10},
+                                     [=](id<1> Index) { Accessor[Index] = 0; });
+    });
+    SecondQueue.submit([&](handler &Cgh) {
+      auto Accessor = Buffer.get_access<access::mode::read_write>(Cgh);
+      Cgh.parallel_for<class increment_b>(
+          range<1>{10}, [=](id<1> Index) { Accessor[Index] += 1; });
+    });
+  } // Data is copied back
+  for (int I = 0; I < 10; I++) {
+    assert(Data[I] == 1);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/buffer/buffer_full_copy.cpp b/sycl/test-e2e/Basic/buffer/buffer_full_copy.cpp
new file mode 100644
index 0000000000000..ee41ad02c6702
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_full_copy.cpp
@@ -0,0 +1,259 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t2.out
+// RUN: %CPU_RUN_PLACEHOLDER %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+// RUN: %ACC_RUN_PLACEHOLDER %t2.out
+
+//==------------- buffer_full_copy.cpp - SYCL buffer basic test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+void check_copy_device_to_host(sycl::queue &Queue) {
+  constexpr int size = 6, offset = 2;
+
+  // Create 2d buffer
+  sycl::buffer<int, 2> simple_buffer(sycl::range<2>(size, size));
+
+  // Submit kernel where you'll fill the buffer
+  Queue.submit([&](sycl::handler &cgh) {
+    auto acc = simple_buffer.get_access<sycl::access::mode::write>(cgh);
+    cgh.fill(acc, 13);
+  });
+
+  // Create host accessor with range and offset
+  {
+    sycl::range<2> acc_range(2, 2);
+    sycl::id<2> acc_offset(offset, offset);
+    auto acc = simple_buffer.get_access<sycl::access::mode::read_write>(
+        acc_range, acc_offset);
+    for (int i = 0; i < 2; ++i) {
+      for (int j = 0; j < 2; ++j)
+        acc[i][j] += 2;
+    }
+  }
+  // Create host accessor with full access range
+  // Check whether data was corrupted or not.
+  {
+    auto acc = simple_buffer.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < size; ++i) {
+      for (int j = 0; j < size; ++j)
+        if (offset <= i && i < offset + 2 && offset <= j && j < offset + 2) {
+          assert(acc[i][j] == 15);
+        } else {
+          assert(acc[i][j] == 13);
+        }
+    }
+  }
+}
+
+void check_fill(sycl::queue &Queue) {
+  constexpr int size = 6, offset = 2;
+  sycl::buffer<float, 1> buf_1(size);
+  sycl::buffer<float, 1> buf_2(size / 2);
+  std::array<float, size> expected_res_1;
+  std::array<float, size / 2> expected_res_2;
+
+  // fill with offset
+  {
+    auto acc = buf_1.get_access<sycl::access::mode::write>();
+    for (int i = 0; i < size; ++i) {
+      acc[i] = i + 1;
+      expected_res_1[i] = offset <= i && i < size / 2 + offset ? 1337.0 : i + 1;
+    }
+  }
+
+  auto e = Queue.submit([&](sycl::handler &cgh) {
+    auto a = buf_1.template get_access<sycl::access::mode::write>(cgh, size / 2,
+                                                                  offset);
+    cgh.fill(a, (float)1337.0);
+  });
+  e.wait();
+
+  {
+    auto acc_1 = buf_1.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < size; ++i)
+      assert(expected_res_1[i] == acc_1[i]);
+  }
+}
+
+void check_copy_host_to_device(sycl::queue &Queue) {
+  constexpr int size = 6, offset = 2;
+  sycl::buffer<float, 1> buf_1(size);
+  sycl::buffer<float, 1> buf_2(size / 2);
+  std::array<float, size> expected_res_1;
+  std::array<float, size / 2> expected_res_2;
+
+  // copy acc 2 acc with offset
+  {
+    auto acc = buf_1.get_access<sycl::access::mode::write>();
+    for (int i = 0; i < size; ++i) {
+      acc[i] = i + 1;
+      expected_res_1[i] = i + 1;
+    }
+  }
+
+  for (int i = 0; i < size / 2; ++i)
+    expected_res_2[i] = expected_res_1[offset + i];
+
+  auto e = Queue.submit([&](sycl::handler &cgh) {
+    auto a = buf_1.get_access<sycl::access::mode::read>(cgh, size / 2, offset);
+    auto b = buf_2.get_access<sycl::access::mode::write>(cgh, size / 2);
+    cgh.copy(a, b);
+  });
+  e.wait();
+
+  {
+    auto acc_1 = buf_1.get_access<sycl::access::mode::read>();
+    auto acc_2 = buf_2.get_access<sycl::access::mode::read>();
+
+    // check that there was no data corruption/loss
+    for (int i = 0; i < size; ++i)
+      assert(expected_res_1[i] == acc_1[i]);
+
+    for (int i = 0; i < size / 2; ++i)
+      assert(expected_res_2[i] == acc_2[i]);
+  }
+
+  sycl::buffer<float, 2> buf_3({size, size});
+  sycl::buffer<float, 2> buf_4({size / 2, size / 2});
+  std::array<std::array<float, size>, size> expected_res_3;
+  std::array<std::array<float, size / 2>, size / 2> expected_res_4;
+
+  // copy acc 2 acc with offset for 2D buffers
+  {
+    auto acc = buf_3.get_access<sycl::access::mode::write>();
+    for (int i = 0; i < size; ++i) {
+      for (int j = 0; j < size; ++j) {
+        acc[i][j] = i * size + j + 1;
+        expected_res_3[i][j] = acc[i][j];
+      }
+    }
+  }
+
+  for (int i = 0; i < size / 2; ++i)
+    for (int j = 0; j < size / 2; ++j)
+      expected_res_4[i][j] = expected_res_3[i + offset][j + offset];
+
+  e = Queue.submit([&](sycl::handler &cgh) {
+    auto a = buf_3.get_access<sycl::access::mode::read>(
+        cgh, {size / 2, size / 2}, {offset, offset});
+    auto b =
+        buf_4.get_access<sycl::access::mode::write>(cgh, {size / 2, size / 2});
+    cgh.copy(a, b);
+  });
+  e.wait();
+
+  {
+    auto acc_1 = buf_3.get_access<sycl::access::mode::read>();
+    auto acc_2 = buf_4.get_access<sycl::access::mode::read>();
+
+    // check that there was no data corruption/loss
+    for (int i = 0; i < size; ++i) {
+      for (int j = 0; j < size; ++j)
+        assert(expected_res_3[i][j] == acc_1[i][j]);
+    }
+
+    for (int i = 0; i < size / 2; ++i)
+      for (int j = 0; j < size / 2; ++j)
+        assert(expected_res_4[i][j] == acc_2[i][j]);
+  }
+
+  sycl::buffer<float, 3> buf_5({size, size, size});
+  sycl::buffer<float, 3> buf_6({size / 2, size / 2, size / 2});
+  std::array<std::array<std::array<float, size>, size>, size> expected_res_5;
+  std::array<std::array<std::array<float, size / 2>, size / 2>, size / 2>
+      expected_res_6;
+
+  // copy acc 2 acc with offset for 3D buffers
+  {
+    auto acc = buf_5.get_access<sycl::access::mode::write>();
+    for (int i = 0; i < size; ++i) {
+      for (int j = 0; j < size; ++j) {
+        for (int k = 0; k < size; ++k) {
+          acc[i][j][k] = (i * size * size) + (j * size) + k + 1;
+          expected_res_5[i][j][k] = (i * size * size) + (j * size) + k + 1;
+        }
+      }
+    }
+  }
+
+  for (int i = 0; i < size / 2; ++i)
+    for (int j = 0; j < size / 2; ++j)
+      for (int k = 0; k < size / 2; ++k)
+        expected_res_6[i][j][k] =
+            expected_res_5[i + offset][j + offset][k + offset];
+
+  e = Queue.submit([&](sycl::handler &cgh) {
+    auto a = buf_5.get_access<sycl::access::mode::read>(
+        cgh, {size / 2, size / 2, size / 2}, {offset, offset, offset});
+    auto b = buf_6.get_access<sycl::access::mode::write>(
+        cgh, {size / 2, size / 2, size / 2});
+    cgh.copy(a, b);
+  });
+  e.wait();
+
+  {
+    auto acc_1 = buf_5.get_access<sycl::access::mode::read>();
+    auto acc_2 = buf_6.get_access<sycl::access::mode::read>();
+
+    // check that there was no data corruption/loss
+    for (int i = 0; i < size; ++i)
+      for (int j = 0; j < size; ++j)
+        for (int k = 0; k < size; ++k)
+          assert(expected_res_5[i][j][k] == acc_1[i][j][k]);
+
+    for (int i = 0; i < size / 2; ++i) {
+      for (int j = 0; j < size / 2; ++j)
+        for (int k = 0; k < size / 2; ++k)
+          assert(expected_res_6[i][j][k] == acc_2[i][j][k]);
+    }
+  }
+}
+
+void check_exception_code() {
+  sycl::queue q;
+
+  const size_t bufSize = 10;
+  std::vector<int> res(bufSize);
+  // std::iota(res.begin(), res.end(), 1);
+  sycl::range<1> r(bufSize);
+  sycl::buffer<int, 1> b(res.data(), r);
+  sycl::range<1> smallRange(bufSize / 2);
+  sycl::id<1> offset(bufSize);
+
+  try {
+    q.submit([&](sycl::handler &cgh) {
+      sycl::accessor src(b, cgh);
+      sycl::accessor destToSmall(b, cgh, smallRange);
+      cgh.copy(src, destToSmall);
+    });
+    q.wait_and_throw();
+
+    assert(false &&
+           "copy with too small Dest arg should have thrown an exception");
+  } catch (sycl::exception e) {
+    assert(e.code() == sycl::errc::invalid);
+  }
+}
+
+int main() {
+  try {
+    sycl::queue Queue;
+    check_copy_host_to_device(Queue);
+    check_copy_device_to_host(Queue);
+    check_fill(Queue);
+    check_exception_code();
+  } catch (sycl::exception &ex) {
+    std::cerr << ex.what() << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/buffer/buffer_migrate.cpp b/sycl/test-e2e/Basic/buffer/buffer_migrate.cpp
new file mode 100644
index 0000000000000..21b8ccd949ae9
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_migrate.cpp
@@ -0,0 +1,46 @@
+// REQUIRES: gpu
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for buffer use in a context with multiple devices (all found
+// root-devices)
+//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+
+  int Data = 0;
+  int Result = 0;
+  buffer<int, 1> Buffer(&Data, range<1>(1));
+
+  const auto &Devices =
+      platform(gpu_selector_v).get_devices(info::device_type::gpu);
+  std::cout << Devices.size() << " devices found" << std::endl;
+  context C(Devices);
+
+  int Index = 0;
+  for (auto D : Devices) {
+    std::cout << "Using on device " << Index << ": "
+              << D.get_info<info::device::name>() << std::endl;
+    Result |= (1 << Index);
+
+    queue Q(C, D);
+    Q.submit([&](handler &cgh) {
+      accessor Accessor{Buffer, cgh, read_write};
+      cgh.parallel_for<class MigrateBuffer>(
+          range<1>(1), [=](id<1> ID) { Accessor[ID] |= (1 << Index); });
+    });
+    Q.wait();
+    ++Index;
+  }
+
+  auto HostAcc = Buffer.get_host_access();
+  auto Passed = (HostAcc[0] == Result);
+  std::cout << "Checking result on host: " << (Passed ? "passed" : "FAILED")
+            << std::endl;
+  std::cout << HostAcc[0] << " ?= " << Result << std::endl;
+  return !Passed;
+}
diff --git a/sycl/test-e2e/Basic/buffer/buffer_release.cpp b/sycl/test-e2e/Basic/buffer/buffer_release.cpp
new file mode 100644
index 0000000000000..6b55e417b5b23
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/buffer_release.cpp
@@ -0,0 +1,36 @@
+// UNSUPPORTED: windows
+//   DeferredMemory Destruction not presently supported on Windows.
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 256;
+
+void test() {
+  queue Q;
+  std::unique_ptr<host_accessor<int>> HostAcc;
+  {
+    buffer<int, 1> Buffer{BUFFER_SIZE};
+    HostAcc.reset(new host_accessor(Buffer));
+    // Host accessor should block kernel execution
+    Q.submit([&](handler &CGH) {
+      auto Acc = Buffer.template get_access<mode::write>(CGH);
+      CGH.parallel_for<class Test>(BUFFER_SIZE,
+                                   [=](item<1> Id) { Acc[Id] = 0; });
+    });
+    // Buffer destructor should not wait till all operations completion here
+  }
+  // Unblock kernel execution
+  HostAcc.reset(nullptr);
+  Q.wait();
+}
+
+int main() {
+  test();
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/buffer/native_buffer_creation_flags.cpp b/sycl/test-e2e/Basic/buffer/native_buffer_creation_flags.cpp
new file mode 100644
index 0000000000000..bb29cef6bcc42
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/native_buffer_creation_flags.cpp
@@ -0,0 +1,28 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=-1 %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+class Foo;
+using namespace sycl;
+int main() {
+  const int BufVal = 42;
+  buffer<int, 1> Buf{&BufVal, range<1>(1)};
+  queue Q;
+
+  {
+    // This should trigger memory allocation on host since the pointer passed by
+    // the user is read-only.
+    auto BufAcc = Buf.get_access<access::mode::write>();
+  }
+
+  Q.submit([&](handler &Cgh) {
+    // Now that we have a read-write host allocation, check that the native
+    // buffer is created with the PI_MEM_FLAGS_HOST_PTR_USE flag.
+    // CHECK: piMemBufferCreate
+    // CHECK-NEXT: {{.*}} : {{.*}}
+    // CHECK-NEXT: {{.*}} : 9
+    auto BufAcc = Buf.get_access<access::mode::read>(Cgh);
+    Cgh.single_task<Foo>([=]() { int A = BufAcc[0]; });
+  });
+}
diff --git a/sycl/test-e2e/Basic/buffer/reinterpret.cpp b/sycl/test-e2e/Basic/buffer/reinterpret.cpp
new file mode 100644
index 0000000000000..8a3af888f239f
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/reinterpret.cpp
@@ -0,0 +1,258 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: level_zero&&gpu
+
+//==---------- reinterpret.cpp --- SYCL buffer reinterpret basic test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <climits>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+// This tests verifies basic cases of using sycl::buffer::reinterpret
+// functionality - changing buffer type and range. This test checks that
+// original buffer updates when we write to reinterpreted buffer and also checks
+// that we can't create reinterpreted buffer when total size in bytes will be
+// not same as total size in bytes of original buffer.
+
+template <class KernelName, typename NewType, typename OldType, int dim>
+void execute_kernel(sycl::queue &cmd_queue, std::vector<OldType> &data,
+                    const sycl::range<dim> &buffer_range,
+                    const sycl::id<dim> &sub_buf_offset,
+                    const sycl::range<dim> &sub_buf_range, const NewType &val) {
+  sycl::buffer<OldType, dim> buffer(data.data(), buffer_range);
+  sycl::buffer<OldType, dim> subbuffer(buffer, sub_buf_offset, sub_buf_range);
+  sycl::range<dim> reinterpret_range = subbuffer.get_range();
+  reinterpret_range[dim - 1] =
+      reinterpret_range[dim - 1] * sizeof(OldType) / sizeof(NewType);
+  sycl::buffer<NewType, dim> reinterpret_subbuf =
+      subbuffer.template reinterpret<NewType, dim>(reinterpret_range);
+
+  cmd_queue.submit([&](sycl::handler &cgh) {
+    auto rb_acc =
+        reinterpret_subbuf.template get_access<sycl::access::mode::write>(cgh);
+    cgh.parallel_for<KernelName>(
+        reinterpret_subbuf.get_range(),
+        [=](sycl::id<dim> index) { rb_acc[index] = val; });
+  });
+  cmd_queue.wait_and_throw();
+}
+
+int main() {
+
+  bool failed = false;
+  sycl::queue cmd_queue;
+  size_t mem_base_align_in_bytes =
+      cmd_queue.get_device()
+          .get_info<sycl::info::device::mem_base_addr_align>() /
+      8;
+
+  sycl::range<1> r1(1);
+  sycl::range<1> r2(sizeof(unsigned int) / sizeof(unsigned char));
+  sycl::buffer<unsigned int, 1> buf_i(r1);
+  auto buf_char = buf_i.reinterpret<unsigned char>(r2);
+  cmd_queue.submit([&](sycl::handler &cgh) {
+    auto acc = buf_char.get_access<sycl::access::mode::read_write>(cgh);
+    cgh.parallel_for<class chars>(r2,
+                                  [=](sycl::id<1> i) { acc[i] = UCHAR_MAX; });
+  });
+
+  {
+    auto acc = buf_i.get_access<sycl::access::mode::read>();
+    if (acc[0] != UINT_MAX) {
+      std::cout << acc[0] << std::endl;
+      std::cout << "line: " << __LINE__ << " array[" << 0 << "] is " << acc[0]
+                << " expected " << UINT_MAX << std::endl;
+      failed = true;
+    }
+  }
+
+  sycl::range<1> r1d(9);
+  sycl::range<2> r2d(3, 3);
+  sycl::buffer<unsigned int, 1> buf_1d(r1d);
+  auto buf_2d = buf_1d.reinterpret<unsigned int>(r2d);
+  cmd_queue.submit([&](sycl::handler &cgh) {
+    auto acc2d = buf_2d.get_access<sycl::access::mode::read_write>(cgh);
+    cgh.parallel_for<class ones>(r2d, [=](sycl::item<2> itemID) {
+      size_t i = itemID.get_id(0);
+      size_t j = itemID.get_id(1);
+      if (i == j)
+        acc2d[i][j] = 1;
+      else
+        acc2d[i][j] = 0;
+    });
+  });
+
+  {
+    auto acc = buf_1d.get_access<sycl::access::mode::read>();
+    for (auto i = 0u; i < r1d.size(); i++) {
+      size_t expected = (i % 4) ? 0 : 1;
+      if (acc[i] != expected) {
+        std::cout << "line: " << __LINE__ << " array[" << i << "] is " << acc[i]
+                  << " expected " << expected << std::endl;
+        failed = true;
+      }
+    }
+  }
+
+  try {
+    sycl::buffer<float, 1> buf_fl(r1d);
+    auto buf_d = buf_1d.reinterpret<double>(r2d);
+  } catch (sycl::invalid_object_error e) {
+    std::cout << "Expected exception has been caught: " << e.what()
+              << std::endl;
+  }
+
+  // subbuffer reinterpret
+  // 1d int -> char
+  {
+    std::size_t offset = mem_base_align_in_bytes / sizeof(int);
+    std::size_t sub_buf_size = 16;
+    std::vector<int> data(sub_buf_size + offset, 8);
+    std::vector<int> expected_data(sub_buf_size + offset, 8);
+    char *ptr = reinterpret_cast<char *>(&expected_data[offset]);
+    char val = 13;
+    for (int i = 0; i < sub_buf_size * sizeof(int); ++i) {
+      *(ptr + i) = val;
+    }
+
+    execute_kernel<class foo_1>(
+        cmd_queue, data, sycl::range<1>{sub_buf_size + offset},
+        sycl::id<1>{offset}, sycl::range<1>{sub_buf_size}, val);
+
+    for (std::size_t i = 0; i < sub_buf_size + offset; ++i) {
+      assert(data[i] == expected_data[i] &&
+             "1D sub buffer int->char reinterpret failed");
+    }
+  }
+
+  // 1d char -> int
+  {
+    std::size_t offset = mem_base_align_in_bytes / sizeof(char);
+    std::size_t sub_buf_size = 16;
+
+    std::vector<char> data(sub_buf_size + offset, 8);
+    std::vector<char> expected_data(sub_buf_size + offset, 8);
+    int val = 0xaabbccdd;
+    int *ptr = reinterpret_cast<int *>(&expected_data[offset]);
+    for (std::size_t i = 0; i < sub_buf_size / sizeof(int); ++i) {
+      *(ptr + i) = val;
+    }
+
+    execute_kernel<class foo_2>(
+        cmd_queue, data, sycl::range<1>{sub_buf_size + offset},
+        sycl::id<1>{offset}, sycl::range<1>{sub_buf_size}, val);
+
+    for (std::size_t i = 0; i < sub_buf_size + offset; ++i) {
+      assert(data[i] == expected_data[i] &&
+             "1D sub buffer char->int reinterpret failed");
+    }
+  }
+
+  // reinterpret 2D buffer to 1D buffer (same data type)
+  // create subbuffer from 1D buffer with an offset
+  // reinterpret subbuffer as 1D buffer of different data type
+  {
+
+    std::size_t cols = mem_base_align_in_bytes / sizeof(int);
+    std::size_t rows = 6, offset_rows = 2;
+    sycl::range<2> rng(rows, cols);
+
+    std::vector<int> data(rows * cols, 8);
+    std::vector<int> expected_data(rows * cols, 8);
+    char *ptr = reinterpret_cast<char *>(&expected_data[offset_rows * cols]);
+    for (int i = 0; i < cols * sizeof(int); ++i) {
+      *(ptr + i) = 13;
+    }
+
+    {
+      sycl::buffer<int, 2> buffer_2d(data.data(), rng);
+      sycl::buffer<int, 1> buffer_1d =
+          buffer_2d.reinterpret<int, 1>(sycl::range<1>(buffer_2d.get_count()));
+      // let's make an offset like for 2d buffer {offset_rows, cols}
+      // with a range = {1, cols}
+      sycl::buffer<int, 1> subbuffer_1d(
+          buffer_1d, sycl::id<1>(offset_rows * cols), sycl::range<1>(cols));
+
+      sycl::buffer<char, 1> reinterpret_subbuf =
+          subbuffer_1d.reinterpret<char, 1>(subbuffer_1d.get_size());
+
+      cmd_queue.submit([&](sycl::handler &cgh) {
+        auto rb_acc =
+            reinterpret_subbuf.get_access<sycl::access::mode::write>(cgh);
+        cgh.parallel_for<class foo_3>(
+            reinterpret_subbuf.get_range(),
+            [=](sycl::id<1> index) { rb_acc[index] = 13; });
+      });
+      cmd_queue.wait_and_throw();
+    }
+
+    for (std::size_t i = 0; i < rows; ++i)
+      for (std::size_t j = 0; j < cols; ++j)
+        assert(data[i * cols + j] == expected_data[i * cols + j] &&
+               "2D->1D->sub buffer reinterpret failed");
+  }
+
+  // 2D
+  // Offset = {/*Rows*/ Any, /*Cols*/ 0},
+  // Range  = {/*Rows*/ Any, /*Cols*/ <original_buffer>}
+  // int -> char
+  {
+    std::size_t offset_rows = 1, offset_cols = 0, subbuffer_rows = 1,
+                buf_row = 3, buf_col = mem_base_align_in_bytes / sizeof(int);
+    std::vector<int> data(buf_col * buf_row, 8);
+    std::vector<int> expected_data(buf_col * buf_row, 8);
+
+    char val = 13;
+    char *ptr = reinterpret_cast<char *>(
+        &expected_data[offset_rows * buf_col + offset_cols]);
+    for (int i = 0; i < buf_col * subbuffer_rows * sizeof(int); ++i) {
+      *(ptr + i) = val;
+    }
+
+    execute_kernel<class foo_4>(cmd_queue, data,
+                                sycl::range<2>{buf_row, buf_col},
+                                sycl::id<2>{offset_rows, offset_cols},
+                                sycl::range<2>{subbuffer_rows, buf_col}, val);
+
+    for (std::size_t i = 0; i < buf_row; ++i)
+      for (std::size_t j = 0; j < buf_col; ++j)
+        assert(data[i * buf_col + j] == expected_data[i * buf_col + j] &&
+               "2D sub buffer int->char reinterpret failed");
+  }
+
+  // char -> int
+  {
+    std::size_t offset_rows = 1, offset_cols = 0, subbuffer_rows = 1,
+                buf_row = 3, buf_col = mem_base_align_in_bytes / sizeof(char);
+    std::vector<char> data(buf_col * buf_row, 8);
+    std::vector<char> expected_data(buf_col * buf_row, 8);
+
+    int val = 0xaabbccdd;
+    int *ptr = reinterpret_cast<int *>(
+        &expected_data[offset_rows * buf_col + offset_cols]);
+    for (int i = 0; i < buf_col * subbuffer_rows / sizeof(int); ++i) {
+      *(ptr + i) = val;
+    }
+
+    execute_kernel<class foo_5>(cmd_queue, data,
+                                sycl::range<2>{buf_row, buf_col},
+                                sycl::id<2>{offset_rows, offset_cols},
+                                sycl::range<2>{subbuffer_rows, buf_col}, val);
+
+    for (std::size_t i = 0; i < buf_row; ++i)
+      for (std::size_t j = 0; j < buf_col; ++j)
+        assert(data[i * buf_col + j] == expected_data[i * buf_col + j] &&
+               "2D sub buffer int->char reinterpret failed");
+  }
+
+  return failed;
+}
diff --git a/sycl/test-e2e/Basic/buffer/subbuffer.cpp b/sycl/test-e2e/Basic/buffer/subbuffer.cpp
new file mode 100644
index 0000000000000..4b25afc49317c
--- /dev/null
+++ b/sycl/test-e2e/Basic/buffer/subbuffer.cpp
@@ -0,0 +1,333 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: (opencl && gpu)
+
+//
+//==---------- subbuffer.cpp --- sub-buffer basic test ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// Checks for:
+// 1) Correct results after usage of different type of accessors to sub buffer
+// 2) Exceptions if we trying to create sub buffer not according to spec
+
+#include <sycl/sycl.hpp>
+
+#include <algorithm>
+#include <iostream>
+#include <numeric>
+#include <vector>
+
+void checkHostAccessor(sycl::queue &q) {
+  std::size_t subbuf_align =
+      q.get_device().get_info<sycl::info::device::mem_base_addr_align>() / 8;
+  std::size_t size =
+      std::max(subbuf_align, 10 * 2 * sizeof(int)); // hold at least 20 elements
+  size /= sizeof(int);
+  size *= 2;
+
+  std::vector<int> data(size);
+  std::iota(data.begin(), data.end(), 0);
+  {
+    sycl::buffer<int, 1> buf(data.data(), size);
+    sycl::buffer<int, 1> subbuf(buf, {size / 2}, {10});
+
+    {
+      auto host_acc = subbuf.get_access<sycl::access::mode::write>();
+      for (int i = 0; i < 10; ++i)
+        host_acc[i] *= 10;
+    }
+
+    q.submit([&](sycl::handler &cgh) {
+      auto acc = subbuf.get_access<sycl::access::mode::write>(cgh);
+      cgh.parallel_for<class foobar_2>(sycl::range<1>(10),
+                                       [=](sycl::id<1> i) { acc[i] *= -10; });
+    });
+
+    {
+      auto host_acc = subbuf.get_access<sycl::access::mode::read>();
+      for (int i = 0; i < 10; ++i)
+        assert(host_acc[i] == ((size / 2 + i) * -100) &&
+               "Sub buffer host accessor test failed.");
+    }
+  }
+  assert(data[0] == 0 && data[size - 1] == (size - 1) &&
+         data[size / 2] == (size / 2 * -100) && "Loss of data");
+}
+
+void check1DSubBuffer(sycl::queue &q) {
+  std::size_t subbuf_align =
+      q.get_device().get_info<sycl::info::device::mem_base_addr_align>() / 8;
+  std::size_t size =
+      std::max(subbuf_align, 32 * sizeof(int)); // hold at least 32 elements
+  size /= sizeof(int);
+  size *= 2;
+
+  std::size_t offset = size / 2, subbuf_size = 10, offset_inside_subbuf = 3,
+              subbuffer_access_range = subbuf_size - offset_inside_subbuf; // 7.
+  std::vector<int> vec(size);
+  std::vector<int> vec2(subbuf_size, 0);
+  std::iota(vec.begin(), vec.end(), 0);
+
+  std::cout << "buffer size: " << size << ", subbuffer start: " << offset
+            << std::endl;
+
+  try {
+    sycl::buffer<int, 1> buf(vec.data(), size);
+    sycl::buffer<int, 1> buf2(vec2.data(), subbuf_size);
+    // subbuffer is 10 elements, starting at midpoint. (typically 32)
+    sycl::buffer<int, 1> subbuf(buf, sycl::id<1>(offset),
+                                sycl::range<1>(subbuf_size));
+
+    // test offset accessor against a subbuffer
+    q.submit([&](sycl::handler &cgh) {
+      // accessor starts at the third element of the subbuffer
+      // and can read for 7 more (ie to the end of the subbuffer)
+      auto acc = subbuf.get_access<sycl::access::mode::read_write>(
+          cgh, sycl::range<1>(subbuffer_access_range),
+          sycl::id<1>(offset_inside_subbuf));
+      // subrange is made negative. ( 32 33 34 -35 -36 -37 -38 -39 -40 -41)
+      cgh.parallel_for<class foobar>(sycl::range<1>(subbuffer_access_range),
+                                     [=](sycl::id<1> i) { acc[i] *= -1; });
+    });
+
+    // copy results of last operation back to buf2/vec2
+    q.submit([&](sycl::handler &cgh) {
+      auto acc_sub = subbuf.get_access<sycl::access::mode::read>(cgh);
+      auto acc_buf = buf2.get_access<sycl::access::mode::write>(cgh);
+      cgh.parallel_for<class foobar_0>(
+          subbuf.get_range(), [=](sycl::id<1> i) { acc_buf[i] = acc_sub[i]; });
+    });
+
+    // multiple entire subbuffer by 10.
+    // now original buffer will be
+    // (..29 30 31 | 320 330 340 -350 -360 -370 -380 -390 -400 -410 | 42 43 44
+    // ...)
+    q.submit([&](sycl::handler &cgh) {
+      auto acc_sub = subbuf.get_access<sycl::access::mode::read_write>(
+          cgh, sycl::range<1>(subbuf_size));
+      cgh.parallel_for<class foobar_1>(
+          sycl::range<1>(subbuf_size),
+          [=](sycl::id<1> i) { acc_sub[i] *= 10; });
+    });
+    q.wait_and_throw();
+
+    // buffers go out of scope. data must be copied back to vector no later than
+    // this.
+  } catch (const sycl::exception &e) {
+    std::cerr << e.what() << std::endl;
+    assert(false && "Exception was caught");
+  }
+
+  // check buffer data in the area of the subbuffer
+  // OCL:GPU confused   =>  320 330 340 -350 -360 -370 -380 39   40   41
+  // every other device =>  320 330 340 -350 -360 -370 -380 -390 -400 -410
+  for (int i = offset; i < offset + subbuf_size; ++i)
+    assert(vec[i] == (i < offset + offset_inside_subbuf ? i * 10 : i * -10) &&
+           "Invalid result in buffer overlapped by 1d sub buffer");
+
+  // check buffer data in the area OUTSIDE the subbuffer
+  for (int i = 0; i < size; i++) {
+    if (i < offset)
+      assert(vec[i] == i && "data preceding subbuffer incorrectly altered");
+
+    if (i > offset + subbuf_size)
+      assert(vec[i] == i && "data following subbuffer incorrectly altered");
+  }
+
+  // check the copy of the subbuffer data after the first operation
+  // OCL:GPU        => 32 33 34 -35 -36 -37 -38 0   0   0
+  // everyone else  => 32 33 34 -35 -36 -37 -38 -39 -40 -41
+  for (int i = 0; i < subbuf_size; ++i)
+    assert(vec2[i] == (i < 3 ? (offset + i) : (offset + i) * -1) &&
+           "Invalid result in captured 1d sub buffer, vec2");
+}
+
+void checkExceptions() {
+  size_t row = 8, col = 8;
+  std::vector<int> vec(1, 0);
+  sycl::buffer<int, 2> buf2d(vec.data(), {row, col});
+  sycl::buffer<int, 3> buf3d(vec.data(), {row / 2, col / 2, col / 2});
+
+  // non-contiguous region
+  try {
+    sycl::buffer<int, 2> sub_buf{buf2d, /*offset*/ sycl::range<2>{2, 0},
+                                 /*size*/ sycl::range<2>{2, 2}};
+    assert(!"non contiguous region exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  try {
+    sycl::buffer<int, 2> sub_buf{buf2d, /*offset*/ sycl::range<2>{2, 2},
+                                 /*size*/ sycl::range<2>{2, 6}};
+    assert(!"non contiguous region exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  try {
+    sycl::buffer<int, 3> sub_buf{buf3d,
+                                 /*offset*/ sycl::range<3>{0, 2, 1},
+                                 /*size*/ sycl::range<3>{1, 2, 3}};
+    assert(!"non contiguous region exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  try {
+    sycl::buffer<int, 3> sub_buf{buf3d,
+                                 /*offset*/ sycl::range<3>{0, 0, 0},
+                                 /*size*/ sycl::range<3>{2, 3, 4}};
+    assert(!"non contiguous region exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  // out of bounds
+  try {
+    sycl::buffer<int, 2> sub_buf{buf2d, /*offset*/ sycl::range<2>{2, 2},
+                                 /*size*/ sycl::range<2>{2, 8}};
+    assert(!"out of bounds exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  try {
+    sycl::buffer<int, 3> sub_buf{buf3d,
+                                 /*offset*/ sycl::range<3>{1, 1, 1},
+                                 /*size*/ sycl::range<3>{1, 1, 4}};
+    assert(!"out of bounds exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  try {
+    sycl::buffer<int, 3> sub_buf{buf3d,
+                                 /*offset*/ sycl::range<3>{3, 3, 0},
+                                 /*size*/ sycl::range<3>{1, 2, 4}};
+    assert(!"out of bounds exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+
+  // subbuffer from subbuffer
+  try {
+    sycl::buffer<int, 2> sub_buf{buf2d, /*offset*/ sycl::range<2>{2, 0},
+                                 /*size*/ sycl::range<2>{2, 8}};
+    sycl::buffer<int, 2> sub_sub_buf(sub_buf, sycl::range<2>{0, 0},
+                                     /*size*/ sycl::range<2>{0, 0});
+    assert(!"invalid subbuffer exception wasn't caught");
+  } catch (const sycl::invalid_object_error &e) {
+    std::cerr << e.what() << std::endl;
+  }
+}
+
+void copyBlock() {
+  using typename sycl::access::mode;
+  using buffer = sycl::buffer<int, 1>;
+
+  auto CopyF = [](buffer &Buffer, buffer &Block, size_t Idx, size_t BlockSize) {
+    auto Subbuf = buffer(Buffer, Idx * BlockSize, BlockSize);
+    auto *Src = Subbuf.get_access<mode::read>().get_pointer();
+    auto *Dst = Block.get_access<mode::write>().get_pointer();
+    std::copy(Src, Src + BlockSize, Dst);
+  };
+
+  try {
+    static const size_t N = 100;
+    static const size_t NBlock = 4;
+    static const size_t BlockSize = N / NBlock;
+
+    buffer Buffer(N);
+
+    // Init with data
+    {
+      auto *Acc = Buffer.get_access<mode::write>().get_pointer();
+
+      for (size_t Idx = 0; Idx < N; Idx++) {
+        Acc[Idx] = Idx;
+      }
+    }
+
+    std::vector<buffer> BlockBuffers;
+    BlockBuffers.reserve(NBlock);
+
+    // Copy block by block
+    for (size_t Idx = 0; Idx < NBlock; Idx++) {
+      auto InsertedIt = BlockBuffers.emplace(BlockBuffers.end(), BlockSize);
+      CopyF(Buffer, *InsertedIt, Idx, BlockSize);
+    }
+
+    // Validate copies
+    for (size_t Idx = 0; Idx < BlockBuffers.size(); ++Idx) {
+      buffer &BlockB = BlockBuffers[Idx];
+
+      auto *V = BlockB.get_access<mode::read>().get_pointer();
+
+      for (size_t Idx2 = 0; Idx2 < BlockSize; ++Idx2) {
+        assert(V[Idx2] == Idx2 + BlockSize * Idx &&
+               "Invalid data in block buffer");
+      }
+    }
+  } catch (sycl::exception &ex) {
+    assert(false && "Unexpected exception captured!");
+  }
+}
+
+void checkMultipleContexts() {
+  constexpr int N = 64;
+  int a[N] = {0};
+  {
+    sycl::queue queue1;
+    sycl::queue queue2;
+    sycl::buffer<int, 1> buf(a, sycl::range<1>(N));
+    sycl::buffer<int, 1> subbuf1(buf, sycl::id<1>(0), sycl::range<1>(N / 2));
+    sycl::buffer<int, 1> subbuf2(buf, sycl::id<1>(N / 2),
+                                 sycl::range<1>(N / 2));
+    queue1.submit([&](sycl::handler &cgh) {
+      auto bufacc = subbuf1.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.parallel_for<class sub_buffer_1>(
+          sycl::range<1>(N / 2), [=](sycl::id<1> idx) { bufacc[idx[0]] = 1; });
+    });
+
+    queue2.submit([&](sycl::handler &cgh) {
+      auto bufacc = subbuf2.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.parallel_for<class sub_buffer_2>(
+          sycl::range<1>(N / 2), [=](sycl::id<1> idx) { bufacc[idx[0]] = 2; });
+    });
+  }
+  assert(a[N / 2 - 1] == 1 && a[N / 2] == 2 && "Sub buffer data loss");
+
+  {
+    sycl::queue queue1;
+    sycl::buffer<int, 1> buf(a, sycl::range<1>(N));
+    sycl::buffer<int, 1> subbuf1(buf, sycl::id<1>(N / 2),
+                                 sycl::range<1>(N / 2));
+    queue1.submit([&](sycl::handler &cgh) {
+      auto bufacc = subbuf1.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.parallel_for<class sub_buffer_3>(
+          sycl::range<1>(N / 2), [=](sycl::id<1> idx) { bufacc[idx[0]] = -1; });
+    });
+    auto host_acc = subbuf1.get_access<sycl::access::mode::read>();
+    assert(host_acc[0] == -1 && host_acc[N / 2 - 1] == -1 &&
+           "Sub buffer data loss");
+  }
+}
+
+int main() {
+  sycl::queue q;
+  check1DSubBuffer(q);
+  checkHostAccessor(q);
+  checkExceptions();
+  copyBlock();
+  checkMultipleContexts();
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/build_log.cpp b/sycl/test-e2e/Basic/build_log.cpp
new file mode 100644
index 0000000000000..60d245f2f0c4d
--- /dev/null
+++ b/sycl/test-e2e/Basic/build_log.cpp
@@ -0,0 +1,20 @@
+// REQUIRES: opencl || level_zero, gpu
+// UNSUPPORTED: gpu-intel-dg1
+//
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_gen -Xsycl-target-backend=spir64_gen "-device dg1" %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER env SYCL_RT_WARNING_LEVEL=2 %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Q{sycl::default_selector_v};
+
+  auto *I = sycl::malloc_device<int>(1, Q);
+  Q.single_task([=]() { I[0] = 42; });
+
+  sycl::free(I, Q);
+
+  return 0;
+}
+
+// CHECK: The program was built for {{.*}} devices
diff --git a/sycl/test-e2e/Basic/built-ins.cpp b/sycl/test-e2e/Basic/built-ins.cpp
new file mode 100644
index 0000000000000..dc07ceacbba9e
--- /dev/null
+++ b/sycl/test-e2e/Basic/built-ins.cpp
@@ -0,0 +1,78 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ %s -o %t_nonvar.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_nonvar.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t_nonvar.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t_nonvar.out %ACC_CHECK_PLACEHOLDER
+
+// Hits an assertion with AMD:
+// XFAIL: hip_amd
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+namespace s = sycl;
+
+// According to OpenCL C spec, the format string must be in constant address
+// space
+#ifdef __SYCL_DEVICE_ONLY__
+#define CONSTANT __attribute__((opencl_constant))
+#else
+#define CONSTANT
+#endif
+
+static const CONSTANT char format[] = "Hello, World! %d %f\n";
+
+int main() {
+  s::queue q{};
+
+#ifndef __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  if (!q.get_device().has(sycl::aspect::fp64)) {
+    std::cout
+        << "Test without __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ defined is "
+           "skipped because the device did not have fp64."
+        << std::endl;
+    return 0;
+  }
+#endif
+
+  // Test printf
+  q.submit([&](s::handler &CGH) {
+     CGH.single_task<class printf>([=]() {
+       s::ext::oneapi::experimental::printf(format, 123, 1.23f);
+       // CHECK: {{(Hello, World! 123 1.23)?}}
+     });
+   }).wait();
+
+  s::ext::oneapi::experimental::printf(format, 321, 3.21f);
+  // CHECK: {{(Hello, World! 123 1.23)?}}
+
+  // Test common
+  {
+    s::buffer<float, 1> BufMin(s::range<1>(1));
+    s::buffer<s::float2, 1> BufMax(s::range<1>(1));
+    q.submit([&](s::handler &cgh) {
+      auto AccMin = BufMin.get_access<s::access::mode::write>(cgh);
+      auto AccMax = BufMax.get_access<s::access::mode::write>(cgh);
+      cgh.single_task<class common>([=]() {
+        AccMax[0] = s::max(s::float2{0.5f, 2.5f}, s::float2{2.3f, 2.3f});
+        AccMin[0] = s::min(float{0.5f}, float{2.3f});
+      });
+    });
+
+    auto AccMin = BufMin.template get_access<s::access::mode::read>();
+    auto AccMax = BufMax.template get_access<s::access::mode::read>();
+
+    assert(AccMin[0] == 0.5);
+    assert(AccMax[0].x() == 2.3f && AccMax[0].y() == 2.5f);
+    assert(s::min(0.5f, 2.3f) == 0.5);
+    auto Res = s::max(s::int4{5, 2, 1, 5}, s::int4{3, 3, 4, 2});
+    assert(Res.x() == 5 && Res.y() == 3 && Res.z() == 4 && Res.w() == 5);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/code_location_e2e.cpp b/sycl/test-e2e/Basic/code_location_e2e.cpp
new file mode 100644
index 0000000000000..f5518bbb570a7
--- /dev/null
+++ b/sycl/test-e2e/Basic/code_location_e2e.cpp
@@ -0,0 +1,156 @@
+// UNSUPPORTED: hip || cuda
+
+// RUN: %clangxx -fsycl -DNDEBUG %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+/*
+    clang++ -fsycl -DNDEBUG -o smyl.bin code_location_e2e.cpp   // <<--- NDEBUG
+   will suppress fileLocation
+
+    -DNDEBUG  <-- not debugging, meaning fileName should not be retrievable (for
+   data privacy reasons)
+
+   Between having to test against NDEBUG and test from kernel code,
+   using assert/abort type of logic is not available. This test just
+   outputs strings that it checks with FileCheck.
+
+   This test uses hardcoded file code location positions. If modified, those
+   may change. pass in any value to signal "report only" and not run tests.
+
+*/
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+// llvm/sycl/doc/design/DeviceLibExtensions.rst
+// Our devicelib support for <cstring> only includes three memory
+// operations, none of the string ones. So we need to provide
+// our own string comparison for kernel calls.
+bool stringsAreSameP(const char *a, const char *b) {
+  // If both are nullptr, then they are the same,
+  if ((a == nullptr) && (b == nullptr))
+    return true;
+  // but if only one, they are not.
+  if ((a == nullptr) || (b == nullptr))
+    return false;
+
+  int index = 0;
+  while (true) {
+    if (a[index] != b[index]) {
+      return false;
+    }
+    if (a[index] == '\0') {
+      return true;
+    } // If we are on this line we know a[i]==b[i].
+    index++;
+  }
+  // We will never arrive here.
+  return true;
+}
+
+template <typename OS> void report(OS &out, detail::code_location code_loc) {
+  out << "function {line:col} => " << code_loc.functionName() << " {"
+      << code_loc.lineNumber() << ":" << code_loc.columnNumber() << "}"
+      << "\n";
+
+  auto fileName = code_loc.fileName();
+  if (fileName == nullptr)
+    out << "nullptr for fileName"
+        << "\n";
+  else
+    out << "fileName: " << code_loc.fileName() << "\n";
+}
+
+template <typename OS>
+void test(OS &out, detail::code_location &code_loc, const char *fileName,
+          const char *funcName, int line, int col) {
+
+  // functionName
+  auto funcNameStr = code_loc.functionName();
+  auto fNameResult =
+      ((funcNameStr != nullptr) && stringsAreSameP(funcNameStr, funcName))
+          ? "OK"
+          : "WRONG";
+  out << "code_location.functionName: " << fNameResult << "\n";
+
+  // lineNumber
+  auto lineNumberResult = (code_loc.lineNumber() == line) ? "OK" : "WRONG";
+  out << "code_location.lineNumber: " << lineNumberResult << "\n";
+
+  // columnNumber
+  auto colNumberResult = (code_loc.columnNumber() == col) ? "OK" : "WRONG";
+  out << "code_location.columnNumber: " << colNumberResult << "\n";
+
+  // fileName
+  auto fileNameStr = code_loc.fileName();
+#ifdef NDEBUG
+  // NDEBUG == not debugging == no fileName (for security).
+  auto fileNameResult =
+      (fileNameStr == nullptr)
+          ? "OK"
+          : "WRONG - fileName should not be present when NDEBUG defined";
+#else
+  auto fileNameResult = stringsAreSameP(fileName, fileNameStr) ? "OK" : "WRONG";
+#endif
+  out << "code_location.fileName: " << fileNameResult << "\n";
+}
+
+int main(int argc, char **argv) {
+  bool testing =
+      (argc <= 1); // Passing in ANY argument means report only, do not test.
+  auto code_loc = sycl::detail::code_location::current(); // <--
+  int EXPECTED_LINE = __LINE__ - 1;
+#ifdef NDEBUG
+  std::cout << "NDEBUG, therefore no fileName" << std::endl;
+#else
+  std::cout << "NDEBUG NOT DEFINED, make sure file name isn't a full path "
+            << std::endl;
+  std::cout << "file name: " << code_loc.fileName() << std::endl;
+#endif
+  std::cout << "------- host test -------" << std::endl;
+  report(std::cout, code_loc);
+
+  if (testing)
+    test(std::cout, code_loc, "code_location_e2e.cpp", "main", EXPECTED_LINE,
+         19);
+
+  std::cout << "------- kernel test -------" << std::endl;
+
+  queue q;
+  q.submit([testing](handler &cgh) {
+    sycl::stream out(2024, 400, cgh);
+    cgh.single_task<class KHALID>([=]() {
+      auto kernel_loc = sycl::detail::code_location::current(); // <--
+      int EXPECTED_LINE = __LINE__ - 1;
+      report(out, kernel_loc);
+
+      if (testing)
+        test(out, kernel_loc, "code_location_e2e.cpp", "operator()",
+             EXPECTED_LINE, 25);
+
+      out << "-------" << sycl::endl;
+    });
+  });
+  q.wait();
+
+  return 0;
+}
+
+// CHECK: ------- host test -------
+// CHECK:      code_location.functionName: OK
+// CHECK-NEXT: code_location.lineNumber: OK
+// CHECK-NEXT: code_location.columnNumber: OK
+// XHECK-NEXT: code_location.fileName: OK
+
+// CHECK: ------- kernel test -------
+// CHECK:      code_location.functionName: OK
+// CHECK-NEXT: code_location.lineNumber: OK
+// CHECK-NEXT: code_location.columnNumber: OK
+// XHECK-NEXT: code_location.fileName: OK
diff --git a/sycl/test-e2e/Basic/compare_exchange_strong.cpp b/sycl/test-e2e/Basic/compare_exchange_strong.cpp
new file mode 100644
index 0000000000000..1b4d8afacba2c
--- /dev/null
+++ b/sycl/test-e2e/Basic/compare_exchange_strong.cpp
@@ -0,0 +1,40 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  queue testQueue;
+
+  char testResult;
+  {
+    buffer<char, 1> resultBuf(&testResult, range<1>(1));
+
+    int32_t data = 42;
+    buffer<int32_t, 1> buf(&data, range<1>(1));
+
+    testQueue.submit([&](handler &cgh) {
+      auto globAcc = buf.template get_access<access::mode::atomic>(cgh);
+      auto resultAcc = resultBuf.template get_access<access::mode::write>(cgh);
+      cgh.single_task<class foo>([=]() {
+        auto a = globAcc[0];
+        char result = 0;
+        int32_t expected = 0; // Set to wrong value.
+        char updated = a.compare_exchange_strong(expected, 1);
+        if (updated)
+          // Update shouldn't happen, value in memory is different from
+          // expected!
+          result = 1;
+        if (expected != 42)
+          // "Expected" inout parameter wasn't updated to the value read!
+          result = 1;
+        resultAcc[0] = result;
+      });
+    });
+  }
+  assert(testResult == 0 && "Test failed!");
+  return testResult;
+}
diff --git a/sycl/test-e2e/Basic/context-with-multiple-devices.cpp b/sycl/test-e2e/Basic/context-with-multiple-devices.cpp
new file mode 100644
index 0000000000000..861fd45a1fe89
--- /dev/null
+++ b/sycl/test-e2e/Basic/context-with-multiple-devices.cpp
@@ -0,0 +1,36 @@
+// REQUIRES: accelerator, opencl-aot
+
+// RUN: %clangxx -fsycl -fintelfpga -fsycl-unnamed-lambda %s -o %t2.out
+// RUN: env CL_CONFIG_CPU_EMULATE_DEVICES=2 %t2.out
+
+#include <sycl/sycl.hpp>
+
+void exceptionHandler(sycl::exception_list exceptions) {
+  for (std::exception_ptr const &e : exceptions) {
+    try {
+      std::rethrow_exception(e);
+    } catch (sycl::exception const &e) {
+      std::cerr << "Caught asynchronous SYCL exception:\n"
+                << e.what() << std::endl;
+    }
+  }
+}
+
+int main() {
+  auto DeviceList =
+      sycl::device::get_devices(sycl::info::device_type::accelerator);
+
+  sycl::context Context(DeviceList, &exceptionHandler);
+
+  std::vector<sycl::queue> QueueList;
+  for (const auto &Device : Context.get_devices()) {
+    QueueList.emplace_back(Context, Device, &exceptionHandler);
+  }
+
+  for (auto &Queue : QueueList) {
+    Queue.submit(
+        [&](sycl::handler &cgh) { cgh.parallel_for(100, [=](auto i) {}); });
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/context.cpp b/sycl/test-e2e/Basic/context.cpp
new file mode 100644
index 0000000000000..486440d46eb16
--- /dev/null
+++ b/sycl/test-e2e/Basic/context.cpp
@@ -0,0 +1,83 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic check of the SYCL context class.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  try {
+    context c;
+  } catch (device_error e) {
+    std::cout << "Failed to create device for context" << std::endl;
+  }
+
+  auto devices = device::get_devices();
+  device &deviceA = devices[0];
+  device &deviceB = (devices.size() > 1 ? devices[1] : devices[0]);
+  {
+    std::cout << "move constructor" << std::endl;
+    context Context(deviceA);
+    size_t hash = std::hash<context>()(Context);
+    context MovedContext(std::move(Context));
+    assert(hash == std::hash<context>()(MovedContext));
+  }
+  {
+    std::cout << "move assignment operator" << std::endl;
+    context Context(deviceA);
+    size_t hash = std::hash<context>()(Context);
+    context WillMovedContext(deviceB);
+    WillMovedContext = std::move(Context);
+    assert(hash == std::hash<context>()(WillMovedContext));
+  }
+  {
+    std::cout << "copy constructor" << std::endl;
+    context Context(deviceA);
+    size_t hash = std::hash<context>()(Context);
+    context ContextCopy(Context);
+    assert(hash == std::hash<context>()(Context));
+    assert(hash == std::hash<context>()(ContextCopy));
+    assert(Context == ContextCopy);
+  }
+  {
+    std::cout << "copy assignment operator" << std::endl;
+    context Context(deviceA);
+    size_t hash = std::hash<context>()(Context);
+    context WillContextCopy(deviceB);
+    WillContextCopy = Context;
+    assert(hash == std::hash<context>()(Context));
+    assert(hash == std::hash<context>()(WillContextCopy));
+    assert(Context == WillContextCopy);
+  }
+  {
+    auto AsyncHandler = [](const sycl::exception_list &EL) {};
+    sycl::context Context1(sycl::property_list{});
+    sycl::context Context2(AsyncHandler, sycl::property_list{});
+    sycl::context Context3(deviceA, sycl::property_list{});
+    sycl::context Context4(deviceA, AsyncHandler, sycl::property_list{});
+    sycl::context Context5(deviceA.get_platform(), sycl::property_list{});
+    sycl::context Context6(deviceA.get_platform(), AsyncHandler,
+                           sycl::property_list{});
+    sycl::context Context7(std::vector<sycl::device>{deviceA},
+                           sycl::property_list{});
+    sycl::context Context8(
+        std::vector<sycl::device>{deviceA}, AsyncHandler,
+        sycl::property_list{
+            sycl::ext::oneapi::cuda::property::context::use_primary_context{}});
+
+    if (!Context8.has_property<sycl::ext::oneapi::cuda::property::context::
+                                   use_primary_context>()) {
+      std::cerr << "Line " << __LINE__ << ": Property was not found"
+                << std::endl;
+      return 1;
+    }
+
+    auto Prop = Context8.get_property<
+        sycl::ext::oneapi::cuda::property::context::use_primary_context>();
+  }
+}
diff --git a/sycl/test-e2e/Basic/context_platforms.cpp b/sycl/test-e2e/Basic/context_platforms.cpp
new file mode 100644
index 0000000000000..786a21289e665
--- /dev/null
+++ b/sycl/test-e2e/Basic/context_platforms.cpp
@@ -0,0 +1,33 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='%sycl_be:*' %t.out
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char const *argv[]) {
+  std::vector<platform> platforms = platform::get_platforms();
+  if (platforms.size() < 2) {
+    std::cout << " This test requires at least 2 SYCL platforms to be present "
+                 "on the system. Skipping it"
+              << std::endl;
+    return 0;
+  }
+  try {
+    std::vector<device> all_platforms_devices;
+    for (unsigned i = 0; i < platforms.size(); i++) {
+      std::vector<device> one_platform_devices = platforms[i].get_devices();
+      all_platforms_devices.push_back(one_platform_devices[0]);
+    }
+    context all_context = context(all_platforms_devices);
+    std::cerr << "Test failed: exception wasn't thrown" << std::endl;
+    return 1;
+  } catch (runtime_error &E) {
+    if (std::string(E.what()).find(
+            "Can't add devices across platforms to a single context.") ==
+        std::string::npos) {
+      std::cerr << "Received error is incorrect" << std::endl;
+      return 1;
+    }
+  }
+}
diff --git a/sycl/test-e2e/Basic/cuda_max_wgs_error.cpp b/sycl/test-e2e/Basic/cuda_max_wgs_error.cpp
new file mode 100755
index 0000000000000..4c019b68e59ef
--- /dev/null
+++ b/sycl/test-e2e/Basic/cuda_max_wgs_error.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -fno-sycl-id-queries-fit-in-int
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// REQUIRES: cuda
+
+#include <numeric>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const size_t lsize = 32;
+const std::string expected_msg =
+    "Number of work-groups exceed limit for dimension ";
+
+template <int N>
+void check(range<N> global, range<N> local, bool expect_fail = false) {
+  queue q;
+  try {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for(nd_range<N>(global, local), [=](nd_item<N> item) {});
+    });
+  } catch (nd_range_error e) {
+    if (expect_fail) {
+      std::string msg = e.what();
+      assert(msg.rfind(expected_msg, 0) == 0);
+    } else {
+      throw e;
+    }
+  }
+}
+
+int main() {
+  queue q;
+  device d = q.get_device();
+  id<1> max_1 = d.get_info<sycl::info::device::ext_oneapi_max_work_groups_1d>();
+  check(range<1>(max_1[0] * lsize), range<1>(lsize));
+  check(range<1>((max_1[0] + 1) * lsize), range<1>(lsize), true);
+
+  id<2> max_2 = d.get_info<sycl::info::device::ext_oneapi_max_work_groups_2d>();
+  check(range<2>(1, max_2[1] * lsize), range<2>(1, lsize));
+  check(range<2>(1, (max_2[1] + 1) * lsize), range<2>(1, lsize), true);
+  check(range<2>(max_2[0] * lsize, 1), range<2>(lsize, 1));
+  check(range<2>((max_2[0] + 1) * lsize, 1), range<2>(lsize, 1), true);
+
+  id<3> max_3 = d.get_info<sycl::info::device::ext_oneapi_max_work_groups_3d>();
+  check(range<3>(1, 1, max_3[2] * lsize), range<3>(1, 1, lsize));
+  check(range<3>(1, 1, (max_3[2] + 1) * lsize), range<3>(1, 1, lsize), true);
+  check(range<3>(1, max_3[1] * lsize, 1), range<3>(1, lsize, 1));
+  check(range<3>(1, (max_3[1] + 1) * lsize, 1), range<3>(1, lsize, 1), true);
+  check(range<3>(max_3[0] * lsize, 1, 1), range<3>(lsize, 1, 1));
+  check(range<3>((max_3[0] + 1) * lsize, 1, 1), range<3>(lsize, 1, 1), true);
+}
diff --git a/sycl/test-e2e/Basic/default_device.cpp b/sycl/test-e2e/Basic/default_device.cpp
new file mode 100644
index 0000000000000..a87a5449ba3f5
--- /dev/null
+++ b/sycl/test-e2e/Basic/default_device.cpp
@@ -0,0 +1,20 @@
+//==--------- default_device.cpp - SYCL device default ctor test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::device Dev;
+  assert(Dev == sycl::device{sycl::default_selector_v});
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/default_platform.cpp b/sycl/test-e2e/Basic/default_platform.cpp
new file mode 100644
index 0000000000000..14a903693eec9
--- /dev/null
+++ b/sycl/test-e2e/Basic/default_platform.cpp
@@ -0,0 +1,20 @@
+//==------- default_platform.cpp - SYCL platform default ctor test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::platform Plt;
+  assert(Plt == sycl::platform{sycl::default_selector_v});
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/device-selectors.cpp b/sycl/test-e2e/Basic/device-selectors.cpp
new file mode 100644
index 0000000000000..172163df1aa2b
--- /dev/null
+++ b/sycl/test-e2e/Basic/device-selectors.cpp
@@ -0,0 +1,185 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN:  %t.out
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+auto exception_handler_lambda = [](exception_list elist) {
+  // nop
+};
+
+void handle_exceptions_f(exception_list elist) {
+  // nop
+}
+
+auto refuse_any_device_lambda = [](const device &d) { return -1; };
+
+int refuse_any_device_f(const device &d) { return -1; }
+
+int main() {
+  // Ensure these compile correctly. That exception handler does not
+  // end up specialized against device selector.
+  queue exception_queue_01(exception_handler_lambda);
+  queue exception_queue_02(handle_exceptions_f);
+
+  // Set up callable device selector.
+  std::vector<device> deviceList = device::get_devices();
+  device &lastDevice = deviceList.back();
+  auto select_last_device = [&lastDevice](const device &d) {
+    return d == lastDevice;
+  };
+
+  // Instantiate platform via callable Device Selector.
+  platform lastPlatform(select_last_device);
+
+  // Test each of the four queue constructors that take callable Device
+  // Selectors: q(device selector) q(dev selector ,  async handler)
+  // q(context , dev selector) q(context, dev selector , async handler)
+  queue lastQueue(select_last_device);
+  assert(lastQueue.get_device().get_platform() == lastPlatform &&
+         "Queue and platform created by selecting same device, should result "
+         "in matching platforms.");
+
+  queue lastQueueWithHandler(select_last_device, exception_handler_lambda);
+  assert(lastQueueWithHandler.get_device() == lastDevice &&
+         "Queue created by selecting a device should have that same device.");
+
+  // Create a context.
+  platform plt;
+  std::vector<device> platformDevices = plt.get_devices();
+  context ctx(platformDevices);
+  // Set up a callable device selector to select the last device from the
+  // context.
+  device &lastPlatformDevice = platformDevices.back();
+  auto select_last_platform_device = [&lastPlatformDevice](const device &d) {
+    return d == lastPlatformDevice;
+  };
+  // Test queue constructors that use devices from a context.
+  queue lastQueueViaContext(ctx, select_last_platform_device);
+  assert(lastQueueViaContext.get_device() == lastPlatformDevice &&
+         "Queue created by selecting a device should have that same device.");
+
+  queue lastQueueViaContextWithHandler(ctx, select_last_platform_device,
+                                       handle_exceptions_f);
+  assert(lastQueueViaContextWithHandler.get_device() == lastPlatformDevice &&
+         "Queue created by selecting a device should have that same device.");
+
+  // Device constructor.
+  device matchingDevice(select_last_device);
+  assert(matchingDevice == lastDevice && "Incorrect selected device.");
+
+  // Check exceptions and failures.
+  try {
+    platform refusedPlatform(refuse_any_device_lambda);
+    assert(false &&
+           "Declined device selection should have resulted in an exception.");
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::runtime && "Incorrect error code.");
+  }
+
+  try {
+    queue refusedQueue(refuse_any_device_f);
+    assert(false &&
+           "Declined device selection should have resulted in an exception.");
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::runtime && "Incorrect error code.");
+  }
+
+  try {
+    device refusedDevice(refuse_any_device_f);
+    assert(false &&
+           "Declined device selection should have resulted in an exception.");
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::runtime && "Incorrect error code.");
+  }
+
+  // Standalone device selectors.
+  queue default_queue(default_selector_v); // Compilation and no error
+
+  // Not sure what devices are available when this test is run, so no action is
+  // necessary on error.
+  try {
+    queue gpu_queue(gpu_selector_v);
+    assert(gpu_queue.get_device().is_gpu() &&
+           "Incorrect device. Expected GPU.");
+  } catch (exception &e) {
+  }
+  try {
+    queue cpu_queue(cpu_selector_v);
+    assert(cpu_queue.get_device().is_cpu() &&
+           "Incorrect device. Expected CPU.");
+  } catch (exception &e) {
+  }
+  try {
+    queue acc_queue(accelerator_selector_v);
+    assert(acc_queue.get_device().is_accelerator() &&
+           "Incorrect device. Expected Accelerator.");
+  } catch (exception &e) {
+  }
+
+  // ------ aspect_selectors --------
+
+  // Unrestrained selection, equivalent to default_selector.
+  device dev0 = device{aspect_selector()};
+  assert(dev0 == default_queue.get_device() &&
+         "unrestrained aspect selector should result in same device as "
+         "default_selector");
+
+  // -- Individual test runs may or may not have desired device available.
+  // Ignore any exception.
+
+  // Pass aspects in a vector.
+  try {
+    device dev1 =
+        device{aspect_selector(std::vector{aspect::cpu, aspect::image})};
+    assert(dev1.is_cpu() && "Incorrect device, expected CPU.");
+    assert(dev1.has(aspect::image) && "Device should support aspect::image.");
+  } catch (exception &e) {
+  }
+
+  // Pass aspects without a vector.
+  try {
+    device dev2 = device{aspect_selector(aspect::gpu, aspect::image)};
+    assert(dev2.is_gpu() && "Incorrect device, expected GPU.");
+    assert(dev2.has(aspect::image) && "Device should support aspect::image.");
+  } catch (exception &e) {
+  }
+
+  // Pass aspects as compile-time parameters
+  try {
+    device dev3 = device{aspect_selector<aspect::cpu, aspect::fp64>()};
+    assert(dev3.is_cpu() && "Incorrect device, expected CPU.");
+    assert(dev3.has(aspect::fp64) && "Device should support aspect::fp64.");
+  } catch (exception &e) {
+  }
+
+  // Pass aspects in an allowlist and a denylist.
+  try {
+    device dev4 = device{aspect_selector(std::vector{aspect::accelerator},
+                                         std::vector{aspect::image})};
+    assert(dev4.is_accelerator() && "Incorrect device, expected accelerator.");
+    assert(!dev4.has(aspect::image) &&
+           "Device should NOT support aspect::image.");
+  } catch (exception &e) {
+  }
+
+  // Validate errors.
+  try {
+    device dev5 = device{aspect_selector<aspect::cpu, aspect::gpu>()};
+    assert(
+        "We should not be here. No known device that is both a CPU and a GPU.");
+  } catch (exception &e) {
+    assert(e.code() == sycl::errc::runtime && "Incorrect error code.");
+  }
+
+  try {
+    device dev6 = device{
+        aspect_selector(std::vector{aspect::cpu}, std::vector{aspect::cpu})};
+    assert("We should not be here. RequireList and DenyList impossible to "
+           "fulfill.");
+  } catch (exception &e) {
+    assert(e.code() == sycl::errc::runtime && "Incorrect error code.");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/device_equality.cpp b/sycl/test-e2e/Basic/device_equality.cpp
new file mode 100644
index 0000000000000..199380af64503
--- /dev/null
+++ b/sycl/test-e2e/Basic/device_equality.cpp
@@ -0,0 +1,40 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+
+//==------- device_equality.cpp - SYCL device equality test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <utility>
+
+using namespace sycl;
+
+int main() {
+  std::cout << "Creating q1" << std::endl;
+  queue q1;
+  std::cout << "Creating q2" << std::endl;
+  queue q2;
+
+  // Default selector picks the same device every time.
+  // That device should compare equal to itself.
+  // Its platform should too.
+
+  auto dev1 = q1.get_device();
+  auto plat1 = dev1.get_platform();
+
+  auto dev2 = q2.get_device();
+  auto plat2 = dev2.get_platform();
+
+  assert((dev1 == dev2) && "Device 1 == Device 2");
+  assert((plat1 == plat2) && "Platform 1 == Platform 2");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/device_event.cpp b/sycl/test-e2e/Basic/device_event.cpp
new file mode 100644
index 0000000000000..152191f866788
--- /dev/null
+++ b/sycl/test-e2e/Basic/device_event.cpp
@@ -0,0 +1,137 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.run
+// RUN: %GPU_RUN_PLACEHOLDER %t.run
+// RUN: %CPU_RUN_PLACEHOLDER %t.run
+// RUN: %ACC_RUN_PLACEHOLDER %t.run
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DUSE_DEPRECATED_LOCAL_ACC %s -o %t.run
+// RUN: %GPU_RUN_PLACEHOLDER %t.run
+// RUN: %CPU_RUN_PLACEHOLDER %t.run
+// RUN: %ACC_RUN_PLACEHOLDER %t.run
+//
+// Returns error "Barrier is not supported on the host device
+// yet." with Nvidia.
+// XFAIL: hip_nvidia
+
+//==--------device_event.cpp - SYCL class device_event test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// Define the number of work items to enqueue.
+const int nElems = 128 * 1024u;
+const int workGroupSize = 16;
+
+// Check the result is correct.
+int check_results(int *data, size_t stride) {
+  int result = 0;
+  int earlyFailout = 1000;
+  for (int i = 0; i < nElems; i += workGroupSize) {
+    int copiedVal = i;
+    for (int j = 0; j < workGroupSize; j++) {
+      int expectedVal;
+      if ((j % stride) == 0) {
+        expectedVal = 300 + copiedVal;
+        copiedVal++;
+      } else {
+        expectedVal = i + j + 700;
+      }
+      if (data[i + j] != expectedVal) {
+        std::cout << "fail: stride = " << stride << ", "
+                  << "data[" << i + j << "] = " << data[i + j]
+                  << "; expected result = " << expectedVal << "\n";
+        result = 1;
+        if (--earlyFailout == 0) {
+          return result;
+        }
+      }
+    }
+  }
+  return result;
+}
+
+int test_strideN(size_t stride) {
+  // Define and initialize data to be copied to the device.
+  int out_data[nElems] = {0};
+  int nElemsToCopy = (workGroupSize / stride);
+  if (workGroupSize % stride)
+    nElemsToCopy++;
+
+  try {
+    default_selector selector;
+    queue myQueue(selector, [](exception_list l) {
+      for (auto ep : l) {
+        try {
+          std::rethrow_exception(ep);
+        } catch (std::exception &e) {
+          std::cout << e.what();
+        }
+      }
+    });
+
+    buffer<int, 1> out_buf(out_data, range<1>(nElems));
+
+    myQueue.submit([&](handler &cgh) {
+      auto out_ptr = out_buf.get_access<access::mode::write>(cgh);
+#ifdef USE_DEPRECATED_LOCAL_ACC
+      accessor<int, 1, access::mode::read_write, access::target::local>
+          local_acc(range<1>(16), cgh);
+#else
+      local_accessor<int, 1> local_acc(range<1>(16), cgh);
+#endif
+
+      // Create work-groups with 16 work items in each group.
+      auto myRange = nd_range<1>(range<1>(nElems), range<1>(workGroupSize));
+
+      auto myKernel = ([=](nd_item<1> item) {
+        // Write the values 300, 301, ...., 363 to local memory.
+        // We expect to see these values in global memory
+        // after async mem copy that is done below.
+        local_acc[item.get_local_id()] = item.get_global_id()[0] + 300;
+
+        auto grp = item.get_group();
+        local_ptr<int> lptr = local_acc.get_pointer();
+        global_ptr<int> gptr = out_ptr.get_pointer() + grp.get_id()[0] * 16;
+
+        // Write the values 700, 701, ..., 763 to global memory.
+        // Why? Well, a) to ensure that something is written into that memory
+        // inside the work item; b) check possible mem write crazy effects,
+        // that are not supposed to happen, but who knows..., c) to see those
+        // values at the end if something goes wrong during the ASYNC MEM COPY.
+        out_ptr[item.get_global_id()[0]] = item.get_global_id()[0] + 700;
+        // Just a check of get_range() API.
+        local_acc.get_range();
+        item.barrier();
+
+        // Copy from local memory to global memory.
+        device_event dev_event =
+            grp.async_work_group_copy(gptr, lptr, nElemsToCopy, stride);
+        grp.wait_for(dev_event);
+      });
+
+      cgh.parallel_for<class assign_elements>(myRange, myKernel);
+    });
+
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 2;
+  }
+
+  return check_results(out_data, stride);
+}
+
+int main() {
+  for (int i = 1; i < workGroupSize; i++) {
+    int result = test_strideN(i);
+    if (result)
+      return result;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/device_implicitly_copyable.cpp b/sycl/test-e2e/Basic/device_implicitly_copyable.cpp
new file mode 100644
index 0000000000000..6d00d84a4d20d
--- /dev/null
+++ b/sycl/test-e2e/Basic/device_implicitly_copyable.cpp
@@ -0,0 +1,377 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--device_implicitly_copyable.cpp - SYCL implicit device copyable test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <cassert>
+#include <iostream>
+
+#include <sycl/sycl.hpp>
+
+struct ACopyable {
+  int i;
+  ACopyable() = default;
+  ACopyable(int _i) : i(_i) {}
+  ACopyable(const ACopyable &x) : i(x.i) {}
+};
+
+template <> struct sycl::is_device_copyable<ACopyable> : std::true_type {};
+
+template <typename DataT, size_t ArrSize>
+void CaptureAndCopy(const DataT *data_arr, const DataT &data_scalar,
+                    DataT *result_arr, DataT *result_scalar, sycl::queue &q) {
+  // We need to copy data_arr, otherwise when using a device it tries to use the
+  // host memory.
+  DataT cpy_data_arr[ArrSize];
+  std::memcpy(cpy_data_arr, data_arr, sizeof(cpy_data_arr));
+  sycl::buffer<DataT, 1> buf_arr{result_arr, sycl::range<1>(ArrSize)};
+  sycl::buffer<DataT, 1> buf_scalar{result_scalar, sycl::range<1>(1)};
+
+  q.submit([&](sycl::handler &cgh) {
+    auto acc_arr = sycl::accessor{buf_arr, cgh, sycl::read_write};
+    auto acc_scalar = sycl::accessor{buf_scalar, cgh, sycl::read_write};
+    cgh.single_task([=]() {
+      for (auto i = 0; i < ArrSize; i++) {
+        acc_arr[i] = cpy_data_arr[i];
+      }
+      acc_scalar[0] = data_scalar;
+    });
+  });
+}
+
+int main() {
+  constexpr size_t arr_size = 5;
+  constexpr int ref_val = 14;
+  sycl::queue q;
+  {
+    using DataT = std::pair<int, float>;
+    DataT pair_arr[arr_size];
+    DataT pair{ref_val, ref_val};
+    DataT result_pair_arr[arr_size];
+    DataT result_pair;
+
+    for (auto i = 0; i < arr_size; i++) {
+      pair_arr[i].first = i;
+      pair_arr[i].second = i;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(pair_arr, pair, result_pair_arr,
+                                    &result_pair, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_pair_arr[i].first == i);
+      assert(result_pair_arr[i].second == i);
+    }
+    assert(result_pair.first == ref_val && result_pair.second == ref_val);
+  }
+
+  {
+    using DataT = std::pair<ACopyable, float>;
+    DataT pair_arr[arr_size];
+    DataT pair{ACopyable(ref_val), ref_val};
+    DataT result_pair_arr[arr_size];
+    DataT result_pair;
+
+    for (auto i = 0; i < arr_size; i++) {
+      pair_arr[i].first = ACopyable(i);
+      pair_arr[i].second = i;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(pair_arr, pair, result_pair_arr,
+                                    &result_pair, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_pair_arr[i].first.i == i);
+      assert(result_pair_arr[i].second == i);
+    }
+    assert(result_pair.first.i == ref_val && result_pair.second == ref_val);
+  }
+
+  {
+    using DataT = std::tuple<int, float, bool>;
+    DataT tuple_arr[arr_size];
+    DataT tuple{ref_val, ref_val, true};
+    DataT result_tuple_arr[arr_size];
+    DataT result_tuple;
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto &t = tuple_arr[i];
+      std::get<0>(t) = i;
+      std::get<1>(t) = i;
+      std::get<2>(t) = true;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(tuple_arr, tuple, result_tuple_arr,
+                                    &result_tuple, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto t = result_tuple_arr[i];
+      assert(std::get<0>(t) == i);
+      assert(std::get<1>(t) == i);
+      assert(std::get<2>(t) == true);
+    }
+    assert(std::get<0>(result_tuple) == ref_val);
+    assert(std::get<1>(result_tuple) == ref_val);
+    assert(std::get<2>(result_tuple) == true);
+  }
+
+  {
+    using DataT = std::tuple<ACopyable, float, bool>;
+    DataT tuple_arr[arr_size];
+    DataT tuple{ACopyable(ref_val), ref_val, true};
+    DataT result_tuple_arr[arr_size];
+    DataT result_tuple;
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto &t = tuple_arr[i];
+      std::get<0>(t) = ACopyable(i);
+      std::get<1>(t) = i;
+      std::get<2>(t) = true;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(tuple_arr, tuple, result_tuple_arr,
+                                    &result_tuple, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto t = result_tuple_arr[i];
+      assert(std::get<0>(t).i == i);
+      assert(std::get<1>(t) == i);
+      assert(std::get<2>(t) == true);
+    }
+    assert(std::get<0>(result_tuple).i == ref_val);
+    assert(std::get<1>(result_tuple) == ref_val);
+    assert(std::get<2>(result_tuple) == true);
+  }
+
+  {
+    using DataT = std::variant<int, float, bool>;
+    DataT variant_arr[arr_size];
+    DataT variant{14};
+    DataT result_variant_arr[arr_size];
+    DataT result_variant;
+
+    constexpr int variant_size = 3;
+    for (auto i = 0; i < arr_size; i++) {
+      auto &v = variant_arr[i];
+      auto index = i % variant_size;
+      if (index == 0) {
+        v = i;
+      } else if (index == 1) {
+        v = (float)i;
+      } else {
+        v = true;
+      }
+    }
+
+    CaptureAndCopy<DataT, arr_size>(variant_arr, variant, result_variant_arr,
+                                    &result_variant, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto v = result_variant_arr[i];
+      auto index = i % variant_size;
+      if (index == 0) {
+        assert(std::get<0>(v) == i);
+      } else if (index == 1) {
+        assert(std::get<1>(v) == i);
+      } else {
+        assert(std::get<2>(v) == true);
+      }
+    }
+    assert(std::get<0>(result_variant) == ref_val);
+  }
+
+  {
+    using DataT = std::variant<ACopyable>;
+    DataT variant_arr[arr_size];
+    DataT variant;
+    DataT result_variant_arr[arr_size];
+    DataT result_variant;
+    q.submit([&](sycl::handler &cgh) {
+       cgh.single_task([=]() {
+         // Some implementations of std::variant with complex types relies on
+         // virtual functions, so they cannot be used within sycl kernels
+         auto size = sizeof(variant_arr[0]);
+         size = sizeof(variant);
+       });
+     }).wait_and_throw();
+  }
+
+  {
+    using DataT = std::array<int, arr_size>;
+    DataT arr_arr[arr_size];
+    DataT arr;
+    DataT result_arr_arr[arr_size];
+    DataT result_arr;
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto &a = arr_arr[i];
+      for (auto j = 0; j < arr_size; j++) {
+        a[j] = j;
+      }
+      arr[i] = i;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(arr_arr, arr, result_arr_arr, &result_arr,
+                                    q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto a = result_arr_arr[i];
+      for (auto j = 0; j < arr_size; j++) {
+        assert(a[j] == j);
+      }
+      assert(result_arr[i] == i);
+    }
+  }
+
+  {
+    using DataT = std::array<ACopyable, arr_size>;
+    DataT arr_arr[arr_size];
+    DataT arr;
+    DataT result_arr_arr[arr_size];
+    DataT result_arr;
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto &a = arr_arr[i];
+      for (auto j = 0; j < arr_size; j++) {
+        a[j] = ACopyable(j);
+      }
+      arr[i] = ACopyable(i);
+    }
+
+    CaptureAndCopy<DataT, arr_size>(arr_arr, arr, result_arr_arr, &result_arr,
+                                    q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      auto a = result_arr_arr[i];
+      for (auto j = 0; j < arr_size; j++) {
+        assert(a[j].i == j);
+      }
+      assert(result_arr[i].i == i);
+    }
+  }
+
+  {
+    using DataT = std::optional<int>;
+    DataT opt_arr[arr_size];
+    DataT opt;
+    DataT result_opt_arr[arr_size];
+    DataT result_opt;
+
+    for (auto i = 0; i < arr_size; i++) {
+      opt_arr[i] = i;
+    }
+    opt = ref_val;
+
+    CaptureAndCopy<DataT, arr_size>(opt_arr, opt, result_opt_arr, &result_opt,
+                                    q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_opt_arr[i] == i);
+    }
+
+    assert(result_opt == ref_val);
+  }
+
+  {
+    using DataT = std::optional<ACopyable>;
+    DataT opt_arr[arr_size];
+    DataT opt;
+    DataT result_opt_arr[arr_size];
+    DataT result_opt;
+
+    for (auto i = 0; i < arr_size; i++) {
+      opt_arr[i] = ACopyable(i);
+    }
+    opt = ACopyable(ref_val);
+
+    CaptureAndCopy<DataT, arr_size>(opt_arr, opt, result_opt_arr, &result_opt,
+                                    q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_opt_arr[i]->i == i);
+    }
+
+    assert(result_opt->i == ref_val);
+  }
+
+  {
+    using DataT = std ::string_view;
+    std::string strv_arr_val[arr_size];
+    std::string strv_val{std::to_string(ref_val)};
+    DataT strv_arr[arr_size];
+    DataT strv{strv_val};
+    DataT result_strv_arr[arr_size];
+    DataT result_strv;
+
+    for (auto i = 0; i < arr_size; i++) {
+      strv_arr_val[i] = std::to_string(i);
+      strv_arr[i] = std::string_view{strv_arr_val[i]};
+    }
+
+    CaptureAndCopy<DataT, arr_size>(strv_arr, strv, result_strv_arr,
+                                    &result_strv, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_strv_arr[i] == std::to_string(i));
+    }
+
+    assert(result_strv == std::to_string(ref_val));
+  }
+
+#if __cpp_lib_span >= 202002
+  {
+    using DataT = std::span<int>;
+    std::vector<int> v(arr_size);
+    DataT s_arr[arr_size];
+    DataT s{v.data(), arr_size};
+    DataT result_s_arr[arr_size];
+    DataT result_s{v.data(), arr_size};
+
+    for (auto i = 0; i < arr_size; i++) {
+      s[i] = i;
+      s_arr[i] = s;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(s_arr, s, result_s_arr, &result_s, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_s[i] == i);
+      for (auto j = 0; j < arr_size; j++) {
+        assert(result_s_arr[i][j] == j);
+      }
+    }
+  }
+#endif
+
+  {
+    using DataT = sycl::span<int>;
+    std::vector<int> v(arr_size);
+    DataT s_arr[arr_size];
+    DataT s{v.data(), arr_size};
+    DataT result_s_arr[arr_size];
+    DataT result_s{v.data(), arr_size};
+
+    for (auto i = 0; i < arr_size; i++) {
+      s[i] = i;
+      s_arr[i] = s;
+    }
+
+    CaptureAndCopy<DataT, arr_size>(s_arr, s, result_s_arr, &result_s, q);
+
+    for (auto i = 0; i < arr_size; i++) {
+      assert(result_s[i] == i);
+      for (auto j = 0; j < arr_size; j++) {
+        assert(result_s_arr[i][j] == j);
+      }
+    }
+  }
+
+  std::cout << "Test passed" << std::endl;
+}
diff --git a/sycl/test-e2e/Basic/diagnostics/non-uniform-wk-gp-test.cpp b/sycl/test-e2e/Basic/diagnostics/non-uniform-wk-gp-test.cpp
index 98a0c6932ff0e..c62f229acfb17 100644
--- a/sycl/test-e2e/Basic/diagnostics/non-uniform-wk-gp-test.cpp
+++ b/sycl/test-e2e/Basic/diagnostics/non-uniform-wk-gp-test.cpp
@@ -52,12 +52,10 @@ int test() {
 int main() {
   int pltCount = 0, ret = 0;
   for (const auto &plt : platform::get_platforms()) {
-    if (!plt.has(aspect::host)) {
-      std::cout << "Platform #" << pltCount++ << ":" << std::endl;
-      if (plt.get_backend() == backend::ext_oneapi_level_zero) {
-        std::cout << "Backend: Level Zero" << std::endl;
-        ret += test();
-      }
+    std::cout << "Platform #" << pltCount++ << ":" << std::endl;
+    if (plt.get_backend() == backend::ext_oneapi_level_zero) {
+      std::cout << "Backend: Level Zero" << std::endl;
+      ret += test();
     }
     std::cout << std::endl;
   }
diff --git a/sycl/test-e2e/Basic/enqueue_barrier.cpp b/sycl/test-e2e/Basic/enqueue_barrier.cpp
new file mode 100644
index 0000000000000..fc911ad2300e7
--- /dev/null
+++ b/sycl/test-e2e/Basic/enqueue_barrier.cpp
@@ -0,0 +1,66 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+
+// The test is failing sporadically on Windows OpenCL RTs
+// Disabling on windows until fixed
+// UNSUPPORTED: hip_amd, windows
+
+#include <sycl/ext/intel/fpga_device_selector.hpp>
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::context Context;
+  sycl::queue Q1(Context, sycl::default_selector_v);
+
+  Q1.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel1>([]() {}); });
+  Q1.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel2>([]() {}); });
+
+  // call handler::barrier()
+  Q1.submit([&](sycl::handler &cgh) { cgh.barrier(); });
+
+  Q1.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel3>([]() {}); });
+  Q1.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel4>([]() {}); });
+
+  // call queue::ext_oneapi_submit_barrier()
+  Q1.ext_oneapi_submit_barrier();
+
+  sycl::queue Q2(Context, sycl::default_selector_v);
+  sycl::queue Q3(Context, sycl::default_selector_v);
+
+  auto Event1 = Q1.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel5>([]() {}); });
+
+  auto Event2 = Q2.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel6>([]() {}); });
+
+  // call handler::barrier(const std::vector<event> &WaitList)
+  Q3.submit([&](sycl::handler &cgh) { cgh.barrier({Event1, Event2}); });
+
+  Q3.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel7>([]() {}); });
+
+  auto Event3 = Q1.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel8>([]() {}); });
+
+  auto Event4 = Q2.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel9>([]() {}); });
+
+  // call queue::ext_oneapi_submit_barrier(const std::vector<event> &WaitList)
+  Q3.ext_oneapi_submit_barrier({Event3, Event4});
+
+  Q3.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel10>([]() {}); });
+
+  return 0;
+}
+
+// CHECK:---> piEnqueueEventsWaitWithBarrier
+// CHECK:---> piEnqueueEventsWaitWithBarrier
+// CHECK:---> piEnqueueEventsWaitWithBarrier
+// CHECK:---> piEnqueueEventsWaitWithBarrier
diff --git a/sycl/test-e2e/Basic/event.cpp b/sycl/test-e2e/Basic/event.cpp
new file mode 100644
index 0000000000000..bfcbfaa333537
--- /dev/null
+++ b/sycl/test-e2e/Basic/event.cpp
@@ -0,0 +1,102 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--------------- event.cpp - SYCL event test ----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  {
+    std::cout << "move constructor" << std::endl;
+    sycl::event Event;
+    size_t hash = std::hash<sycl::event>()(Event);
+    sycl::event MovedEvent(std::move(Event));
+    assert(hash == std::hash<sycl::event>()(MovedEvent));
+  }
+
+  {
+    std::cout << "move assignment operator" << std::endl;
+    sycl::event Event;
+    size_t hash = std::hash<sycl::event>()(Event);
+    sycl::event WillMovedEvent;
+    WillMovedEvent = std::move(Event);
+    assert(hash == std::hash<sycl::event>()(WillMovedEvent));
+  }
+
+  {
+    std::cout << "copy constructor" << std::endl;
+    sycl::event Event;
+    size_t hash = std::hash<sycl::event>()(Event);
+    sycl::event EventCopy(Event);
+    assert(hash == std::hash<sycl::event>()(Event));
+    assert(hash == std::hash<sycl::event>()(EventCopy));
+    assert(Event == EventCopy);
+  }
+
+  {
+    std::cout << "copy assignment operator" << std::endl;
+    sycl::event Event;
+    size_t hash = std::hash<sycl::event>()(Event);
+    sycl::event WillEventCopy;
+    WillEventCopy = Event;
+    assert(hash == std::hash<sycl::event>()(Event));
+    assert(hash == std::hash<sycl::event>()(WillEventCopy));
+    assert(Event == WillEventCopy);
+  }
+
+  {
+    struct exception : public sycl::exception {};
+
+    std::cout << "wait_and_throw() check" << std::endl;
+    bool failed = true;
+    auto handler = [&](sycl::exception_list l) { failed = false; };
+
+    sycl::queue queue(handler);
+    sycl::event e = queue.submit([&](sycl::handler &cgh) {
+      cgh.host_task([=]() { throw exception{}; });
+    });
+    e.wait_and_throw();
+    assert(failed == false);
+  }
+
+  // Check wait and wait_and_throw methods do not crash
+  for (int i = 0; i < 4; ++i) {
+    sycl::queue Queue;
+    float Data = 1.0;
+    float Scalar = 2.0;
+    sycl::buffer<float, 1> Buf(&Data, sycl::range<1>(1));
+    auto Event = Queue.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(cgh);
+
+      cgh.single_task<class test_event>([=]() { Acc[0] = Scalar; });
+    });
+
+    switch (i) {
+    case 0: {
+      Event.wait();
+      break;
+    }
+    case 1: {
+      Event.wait_and_throw();
+      break;
+    }
+    case 2: {
+      std::vector<sycl::event> EventList = Event.get_wait_list();
+      sycl::event::wait(EventList);
+      break;
+    }
+    case 3: {
+      std::vector<sycl::event> EventList = Event.get_wait_list();
+      sycl::event::wait_and_throw(EventList);
+      break;
+    }
+    }
+  }
+}
diff --git a/sycl/test-e2e/Basic/event_async_exception.cpp b/sycl/test-e2e/Basic/event_async_exception.cpp
new file mode 100644
index 0000000000000..979f7cfc0e9ad
--- /dev/null
+++ b/sycl/test-e2e/Basic/event_async_exception.cpp
@@ -0,0 +1,42 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---- event_async_exception.cpp - Test for event async exceptions -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+// This test checks that if there is a submit failure, the asynchronous
+// exception is associated with the returned event.
+
+using namespace sycl;
+
+class KernelName;
+
+int main() {
+  auto asyncHandler = [](exception_list el) {
+    for (auto &e : el) {
+      std::rethrow_exception(e);
+    }
+  };
+
+  queue q(asyncHandler);
+
+  try {
+    // Check that submitting a CG with no kernel or memory operation doesn't
+    // produce an async exception
+    event e = q.submit([&](handler &cgh) {});
+
+    e.wait_and_throw();
+    return 0;
+  } catch (runtime_error e) {
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/Basic/event_creation.cpp b/sycl/test-e2e/Basic/event_creation.cpp
new file mode 100644
index 0000000000000..19a001d965b7a
--- /dev/null
+++ b/sycl/test-e2e/Basic/event_creation.cpp
@@ -0,0 +1,24 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--------------- event.cpp - SYCL event test ----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  try {
+    std::cout << "Create default event" << std::endl;
+    sycl::event e;
+  } catch (sycl::device_error e) {
+    std::cout << "Failed to create device for event" << std::endl;
+  }
+}
diff --git a/sycl/test-e2e/Basic/event_profiling_info.cpp b/sycl/test-e2e/Basic/event_profiling_info.cpp
new file mode 100644
index 0000000000000..29a3f345305be
--- /dev/null
+++ b/sycl/test-e2e/Basic/event_profiling_info.cpp
@@ -0,0 +1,86 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==------------------- event_profiling_info.cpp ---------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// Flaky with CUDA and HIP (https://github.com/intel/llvm/issues/6495).
+// UNSUPPORTED: cuda, hip
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+bool verifyProfiling(event Event) {
+  auto Submit =
+      Event.get_profiling_info<sycl::info::event_profiling::command_submit>();
+  auto Start =
+      Event.get_profiling_info<sycl::info::event_profiling::command_start>();
+  auto End =
+      Event.get_profiling_info<sycl::info::event_profiling::command_end>();
+
+  assert(Submit <= Start);
+  assert(Start <= End);
+
+  bool Pass = sycl::info::event_command_status::complete ==
+              Event.get_info<sycl::info::event::command_execution_status>();
+
+  return Pass;
+}
+
+// The test checks that get_profiling_info waits for command asccociated with
+// event to complete execution.
+int main() {
+  device Dev;
+  if (!Dev.has(aspect::queue_profiling)) {
+    std::cout << "Profiling is not supported, skipping the test" << std::endl;
+    return 0;
+  }
+
+  const size_t Size = 10000;
+  int Data[Size] = {0};
+  for (size_t I = 0; I < Size; ++I) {
+    Data[I] = I;
+  }
+  int Values[Size] = {0};
+
+  {
+    buffer<int, 1> BufferFrom(Data, range<1>(Size));
+    buffer<int, 1> BufferTo(Values, range<1>(Size));
+
+    // buffer copy
+    queue copyQueue{Dev, sycl::property::queue::enable_profiling()};
+    event copyEvent = copyQueue.submit([&](sycl::handler &Cgh) {
+      accessor<int, 1, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<1>(Size));
+      accessor<int, 1, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<1>(Size));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+
+    // kernel launch
+    queue kernelQueue{Dev, sycl::property::queue::enable_profiling()};
+    event kernelEvent = kernelQueue.submit([&](sycl::handler &CGH) {
+      CGH.single_task<class EmptyKernel>([=]() {});
+    });
+    copyEvent.wait();
+    kernelEvent.wait();
+
+    assert(verifyProfiling(copyEvent) && verifyProfiling(kernelEvent));
+  }
+
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values[I]);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/event_release.cpp b/sycl/test-e2e/Basic/event_release.cpp
new file mode 100644
index 0000000000000..cf78a92bd5314
--- /dev/null
+++ b/sycl/test-e2e/Basic/event_release.cpp
@@ -0,0 +1,36 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+// The test checks that pi_events are released without queue destruction
+// or call to queue::wait, when the corresponding commands are cleaned up.
+
+using namespace sycl;
+
+class Foo;
+
+int main() {
+  int Val = 0;
+  int Gold = 42;
+
+  queue Q;
+
+  {
+    buffer<int, 1> Buf{&Val, range<1>(1)};
+    Q.submit([&](handler &Cgh) {
+      auto Acc = Buf.get_access<access::mode::discard_write>(Cgh);
+      Cgh.single_task<Foo>([=]() { Acc[0] = Gold; });
+    });
+  }
+
+  // Buffer destruction triggers execution graph cleanup, check that both
+  // events (one for launching the kernel and one for memory transfer to host)
+  // are released.
+  // CHECK: piEventRelease
+  // CHECK: piEventRelease
+  assert(Val == Gold);
+  // CHECK: End of main scope
+  std::cout << "End of main scope" << std::endl;
+}
diff --git a/sycl/test-e2e/Basic/exceptions-SYCL-2020.cpp b/sycl/test-e2e/Basic/exceptions-SYCL-2020.cpp
new file mode 100644
index 0000000000000..7f4ff53437a80
--- /dev/null
+++ b/sycl/test-e2e/Basic/exceptions-SYCL-2020.cpp
@@ -0,0 +1,111 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  // Test new constructors, initially each with empty string messages.
+  std::string emptyStr;
+  const char *emptyCharPtr = "";
+
+  // Going to set the error code values to each of the enum (0-12).
+  exception ex1(make_error_code(errc::runtime), emptyStr); // errc::runtime == 1
+  exception ex2(make_error_code(errc::kernel), emptyCharPtr);
+  exception ex3(make_error_code(errc::accessor));
+  exception ex4(static_cast<int>(errc::nd_range), sycl_category(), emptyStr);
+  exception ex5(static_cast<int>(errc::event), sycl_category(), emptyCharPtr);
+  exception ex6(static_cast<int>(errc::kernel_argument), sycl_category());
+
+  queue Q;
+  context ctx = Q.get_context();
+  exception ex7(ctx, make_error_code(errc::build), emptyStr);
+  exception ex8(ctx, make_error_code(errc::invalid), emptyCharPtr);
+  exception ex9(ctx, make_error_code(errc::memory_allocation));
+  exception ex10(ctx, static_cast<int>(errc::platform), sycl_category(),
+                 emptyStr);
+  exception ex11(ctx, static_cast<int>(errc::profiling), sycl_category(),
+                 emptyCharPtr);
+  exception ex12(ctx, static_cast<int>(errc::feature_not_supported),
+                 sycl_category());
+
+  std::vector<exception> v{ex1, ex2, ex3, ex4,  ex5,  ex6,
+                           ex7, ex8, ex9, ex10, ex11, ex12};
+  for (int i = 0; i < 12; i++) {
+    exception ex = v[i];
+    assert(ex.code().value() == i + 1 &&
+           "unexpected error_code.value() retrieved");
+    assert(ex.category() == sycl_category() && "expected SYCL error category");
+    if (i < 6) {
+      assert(!ex.has_context() &&
+             "none of the first six exceptions should have a context");
+    } else {
+      assert(ex.has_context() && ex.get_context() == ctx &&
+             "the second six exceptions should have a context equal to ctx");
+    }
+    assert(strlen(ex.what()) == 0 &&
+           "all these exceptions were initialized with empty strings. We "
+           "should not have anything in the 'what' message");
+  }
+
+  // Now test constructor with a real string value, including one containing
+  // null string terminator
+  std::string testString("this is a test");
+  exception ex_string1(make_error_code(errc::kernel_not_supported), testString);
+  assert(testString.compare(ex_string1.what()) == 0);
+  testString[0] = '\0';
+  exception ex_early_terminated(make_error_code(errc::kernel_not_supported),
+                                testString);
+  assert(ex_early_terminated.code().value() ==
+         static_cast<int>(errc::kernel_not_supported));
+  char testCharPtr[] = "this is also a test";
+  exception ex_string2(make_error_code(errc::backend_mismatch), testCharPtr);
+  assert(strcmp(ex_string2.what(), testCharPtr) == 0);
+
+  // Test sycl_category.
+  assert(std::string("sycl").compare(sycl_category().name()) == 0 &&
+         "sycl_category name should be 'sycl'");
+
+  // Test make_error_code.
+  std::error_code ec = make_error_code(errc::feature_not_supported);
+  assert(ec.value() == static_cast<int>(errc::feature_not_supported));
+  assert(std::string("sycl").compare(ec.category().name()) == 0 &&
+         "error code category name should be 'sycl'");
+
+  // Test enum
+  static_assert(std::is_error_code_enum<sycl::errc>::value,
+                "errc enum should identify as error code");
+  static_assert(!std::is_error_condition_enum<sycl::errc>::value,
+                "errc enum should not identify as error condition");
+
+  // Test errc_for and backends. Should compile without complaint.
+  constexpr int EC = 1;
+  sycl::backend_traits<sycl::backend::opencl>::errc someOpenCLErrCode{EC};
+  sycl::errc_for<sycl::backend::opencl> anotherOpenCLErrCode{EC};
+  assert(someOpenCLErrCode == anotherOpenCLErrCode);
+  sycl::backend_traits<sycl::backend::ext_oneapi_level_zero>::errc
+      someL0ErrCode{EC};
+  sycl::errc_for<sycl::backend::ext_oneapi_level_zero> anotherL0ErrCode{EC};
+  assert(someL0ErrCode == anotherL0ErrCode);
+  sycl::backend_traits<sycl::backend::host>::errc someHOSTErrCode{EC};
+  sycl::errc_for<sycl::backend::host> anotherHOSTErrCode{EC};
+  assert(someHOSTErrCode == anotherHOSTErrCode);
+  sycl::backend_traits<sycl::backend::ext_oneapi_cuda>::errc someCUDAErrCode{
+      EC};
+  sycl::errc_for<sycl::backend::ext_oneapi_cuda> anotherCUDAErrCode{EC};
+  assert(someCUDAErrCode == anotherCUDAErrCode);
+  sycl::backend_traits<sycl::backend::ext_intel_esimd_emulator>::errc
+      someESIMDErrCode{EC};
+  sycl::errc_for<sycl::backend::ext_intel_esimd_emulator> anotherESIMDErrCode{
+      EC};
+  assert(someESIMDErrCode == anotherESIMDErrCode);
+  sycl::backend_traits<sycl::backend::ext_oneapi_hip>::errc someHIPErrCode{EC};
+  sycl::errc_for<sycl::backend::ext_oneapi_hip> anotherHIPErrCode{EC};
+  assert(someHIPErrCode == anotherHIPErrCode);
+
+  std::cout << "OK" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/Inputs/fpga_device.cpp b/sycl/test-e2e/Basic/fpga_tests/Inputs/fpga_device.cpp
new file mode 100644
index 0000000000000..f2233620ccb77
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/Inputs/fpga_device.cpp
@@ -0,0 +1,22 @@
+//==--------------- fpga_device.cpp - AOT compilation for fpga -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "CL/sycl.hpp"
+
+using namespace sycl;
+
+const double big[] = {3, 2, 1, 5, 6, 7};
+void foo(double &result, queue q, int x) {
+  buffer<double> buf(&result, 1);
+  buffer<double, 1> big_buf(big, sizeof(big) / sizeof(double));
+  q.submit([&](handler &cgh) {
+    auto acc = buf.get_access<access::mode::discard_write>(cgh);
+    auto big_acc = big_buf.get_access<access::mode::read>(cgh);
+    cgh.single_task<class test>([=]() { acc[0] = big_acc[x]; });
+  });
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/Inputs/fpga_host.cpp b/sycl/test-e2e/Basic/fpga_tests/Inputs/fpga_host.cpp
new file mode 100644
index 0000000000000..cd143d52566e8
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/Inputs/fpga_host.cpp
@@ -0,0 +1,23 @@
+//==--------------- fpga_host.cpp - AOT compilation for fpga ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "CL/sycl.hpp"
+#include <cassert>
+
+using namespace sycl;
+
+void foo(double &, queue q, int x);
+
+int main(void) {
+  queue q(accelerator_selector_v);
+
+  double result;
+  foo(result, q, 3);
+  assert(result == 5);
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/buffer_location.cpp b/sycl/test-e2e/Basic/fpga_tests/buffer_location.cpp
new file mode 100644
index 0000000000000..8077fa9af925f
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/buffer_location.cpp
@@ -0,0 +1,23 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Queue;
+  sycl::buffer<int, 1> Buf{sycl::range{1}};
+
+  Queue.submit([&](sycl::handler &CGH) {
+    sycl::ext::oneapi::accessor_property_list PL{
+        sycl::ext::intel::buffer_location<1>};
+    sycl::accessor Acc(Buf, CGH, sycl::write_only, PL);
+    CGH.single_task<class Test>([=]() { Acc[0] = 42; });
+  });
+
+  Queue.wait();
+
+  auto Acc = Buf.template get_access<sycl::access::mode::read_write>();
+  assert(Acc[0] == 42 && "Value mismatch");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_aocx.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_aocx.cpp
new file mode 100644
index 0000000000000..2669f9b53cdc1
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_aocx.cpp
@@ -0,0 +1,26 @@
+//==---- fpga_aocx.cpp - AOT compilation for fpga emulator dev with aocx ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: opencl-aot, accelerator
+
+/// E2E test for AOCX creation/use/run for FPGA
+// Produce an archive with device (AOCX) image. To avoid appending objects to
+// leftover archives, remove one if exists.
+
+// RUN: rm %t_image.a || true
+// RUN: %clangxx -fsycl -fintelfpga -fsycl-link=image %S/Inputs/fpga_device.cpp -o %t_image.a
+// Produce a host object
+// RUN: %clangxx -fsycl -fintelfpga %S/Inputs/fpga_host.cpp -c -o %t.o
+
+// AOCX with source
+// RUN: %clangxx -fsycl -fintelfpga %S/Inputs/fpga_host.cpp %t_image.a -o %t_aocx_src.out
+// AOCX with object
+// RUN: %clangxx -fsycl -fintelfpga %t.o %t_image.a -o %t_aocx_obj.out
+//
+// RUN: %ACC_RUN_PLACEHOLDER %t_aocx_src.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_aocx_obj.out
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_aocx_win.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_aocx_win.cpp
new file mode 100644
index 0000000000000..1fce192d0e2d8
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_aocx_win.cpp
@@ -0,0 +1,27 @@
+//==- fpga_aocx_win.cpp - AOT compilation for fpga emulator dev with aocx --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: opencl-aot, accelerator
+// REQUIRES: system-windows
+
+/// E2E test for AOCX creation/use/run for FPGA
+// Produce an archive with device (AOCX) image. To avoid appending objects to
+// leftover archives, remove one if exists.
+
+// RUN: rm %t_image.a || true
+// RUN: %clangxx -fsycl -fintelfpga -fsycl-link=image %S/Inputs/fpga_device.cpp -o %t_image.lib
+// Produce a host object
+// RUN: %clangxx -fsycl -fintelfpga -DHOST_PART %S/Inputs/fpga_host.cpp -c -o %t.obj
+
+// AOCX with source
+// RUN: %clangxx -fsycl -fintelfpga -DHOST_PART %S/Inputs/fpga_host.cpp %t_image.lib -o %t_aocx_src.out
+// AOCX with object
+// RUN: %clangxx -fsycl -fintelfpga %t.obj %t_image.lib -o %t_aocx_obj.out
+//
+// RUN: %ACC_RUN_PLACEHOLDER %t_aocx_src.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_aocx_obj.out
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_dsp_control.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_dsp_control.cpp
new file mode 100644
index 0000000000000..9317bad31dde8
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_dsp_control.cpp
@@ -0,0 +1,67 @@
+//==---------- fpga_dsp_control.cpp - SYCL FPGA DSP control test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: accelerator, opencl-aot
+// RUN: %clangxx -fsycl -fintelfpga %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+int test_dsp_control(sycl::queue Queue) {
+  std::vector<float> input_data = {1.23f, 2.34f};
+  std::vector<float> output_data = {.0f, .0f};
+
+  {
+    sycl::buffer input_buffer(input_data);
+    sycl::buffer output_buffer(output_data);
+
+    Queue.submit([&](sycl::handler &cgh) {
+      auto input_accessor =
+          input_buffer.get_access<sycl::access::mode::read>(cgh);
+
+      auto output_accessor =
+          output_buffer.get_access<sycl::access::mode::write>(cgh);
+
+      cgh.single_task<class kernel>([=] {
+        sycl::ext::intel::math_dsp_control<sycl::ext::intel::Preference::DSP>(
+            [&] { output_accessor[0] = input_accessor[0] + 1.0f; });
+
+        sycl::ext::intel::math_dsp_control<sycl::ext::intel::Preference::DSP,
+                                           sycl::ext::intel::Propagate::Off>(
+            [&] { output_accessor[0] -= 1.0f; });
+
+        sycl::ext::intel::math_dsp_control<
+            sycl::ext::intel::Preference::Softlogic>(
+            [&] { output_accessor[1] = input_accessor[1] + 1.0f; });
+
+        sycl::ext::intel::math_dsp_control<
+            sycl::ext::intel::Preference::Softlogic,
+            sycl::ext::intel::Propagate::Off>(
+            [&] { output_accessor[1] -= 1.0f; });
+      });
+    });
+  }
+
+  for (int i = 0; i < 2; i++) {
+    if (output_data[i] != input_data[i]) {
+      std::cout << "Unexpected read from output_data: " << output_data[i]
+                << ", v.s. expected " << input_data[i] << std::endl;
+
+      return -1;
+    }
+  }
+  return 0;
+}
+
+int main() {
+  sycl::queue Queue{sycl::ext::intel::fpga_emulator_selector{}};
+
+  return test_dsp_control(Queue);
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_io_pipes.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_io_pipes.cpp
new file mode 100644
index 0000000000000..7d77a6acc436f
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_io_pipes.cpp
@@ -0,0 +1,132 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+//==------------ fpga_io_pipes.cpp - SYCL FPGA pipes test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <fstream>
+#include <iostream>
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+#include "io_pipe_def.h"
+
+// TODO: run is disabled, since no support added in FPGA backend yet. Check
+// implementation correctness from CXX and SYCL languages perspective.
+
+// This test is supposed to be run only on Intel FPGA emulator. Change it when
+// we have more experience with IO pipe feature in SYCL.
+// The emulator creates files (one for I pipe, another for O pipe) with the
+// appropriate naming, where a data flowing through a pipe can be stored.
+// So in the test we need to create these files and use them appropriately.
+// The name is taken as IO pipe ID.
+const size_t InputData = 42;
+const std::string InputFileName = "0.txt";
+const std::string OutputFileName = "1.txt";
+
+void createInputFile(const std::string &filename) {
+  std::ofstream Input(filename);
+  if (Input.is_open()) {
+    Input << InputData;
+    Input.close();
+  }
+}
+
+int validateOutputFile(const std::string &filename) {
+  std::ifstream Output(filename);
+  std::string Line;
+  std::vector<size_t> Result;
+  if (Output.is_open()) {
+    // In the test we write only one number into the pipe, but a backend might
+    // have a bug of incorrect interpretetion of capacity of the pipe. In this
+    // case let's read all the lines of the output file to catch this.
+    while (std::getline(Output, Line))
+      Result.push_back(stoi(Line));
+    Output.close();
+  }
+  if (Result.size() != 1 || Result[0] != InputData) {
+    std::cout << "Result mismatches " << Result[0] << " Vs expected "
+              << InputData << std::endl;
+    return -1;
+  }
+
+  return 0;
+}
+
+// Test for simple non-blocking pipes
+int test_io_nb_pipe(sycl::queue Queue) {
+  createInputFile(InputFileName);
+
+  sycl::buffer<int, 1> writeBuf(1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.single_task<class nb_io_transfer>([=]() {
+      bool SuccessCodeI = false;
+      do {
+        write_acc[0] = intelfpga::ethernet_read_pipe::read(SuccessCodeI);
+      } while (!SuccessCodeI);
+      bool SuccessCodeO = false;
+      do {
+        intelfpga::ethernet_write_pipe::write(write_acc[0], SuccessCodeO);
+      } while (!SuccessCodeO);
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != InputData) {
+    std::cout << "Read from a file mismatches " << readHostBuffer[0]
+              << " Vs expected " << InputData << std::endl;
+
+    return -1;
+  }
+
+  return validateOutputFile(OutputFileName);
+}
+
+// Test for simple blocking pipes
+int test_io_bl_pipe(sycl::queue Queue) {
+  createInputFile(InputFileName);
+
+  sycl::buffer<int, 1> writeBuf(1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.single_task<class bl_io_transfer>([=]() {
+      write_acc[0] = intelfpga::ethernet_read_pipe::read();
+      intelfpga::ethernet_write_pipe::write(write_acc[0]);
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != InputData) {
+    std::cout << "Read from a file mismatches " << readHostBuffer[0]
+              << " Vs expected " << InputData << std::endl;
+
+    return -1;
+  }
+
+  return validateOutputFile(OutputFileName);
+}
+
+int main() {
+  sycl::queue Queue{sycl::ext::intel::fpga_emulator_selector{}};
+
+  if (!Queue.get_device()
+           .get_info<sycl::info::device::kernel_kernel_pipe_support>()) {
+    std::cout << "SYCL_ext_intel_data_flow_pipes not supported, skipping"
+              << std::endl;
+    return 0;
+  }
+
+  // Non-blocking pipes
+  int Result = test_io_nb_pipe(Queue);
+
+  // Blocking pipes
+  Result &= test_io_bl_pipe(Queue);
+
+  return Result;
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_latency_control_lsu.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_latency_control_lsu.cpp
new file mode 100644
index 0000000000000..25b556b8eea51
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_latency_control_lsu.cpp
@@ -0,0 +1,71 @@
+//==- fpga_latency_control_lsu.cpp - SYCL FPGA latency control on LSU test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: opencl-aot, accelerator
+// RUN: %clangxx -fsycl -fintelfpga %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using PrefetchingLSU = ext::intel::experimental::lsu<
+    ext::intel::experimental::prefetch<true>,
+    ext::intel::experimental::statically_coalesce<false>>;
+
+using BurstCoalescedLSU = ext::intel::experimental::lsu<
+    ext::intel::experimental::burst_coalesce<true>,
+    ext::intel::experimental::statically_coalesce<false>>;
+
+int test_latency_control(queue Queue) {
+  std::vector<float> input_data = {1.23f};
+  std::vector<float> output_data = {.0f};
+
+  {
+    buffer input_buffer(input_data);
+    buffer output_buffer(output_data);
+
+    Queue.submit([&](handler &cgh) {
+      auto input_accessor = input_buffer.get_access<access::mode::read>(cgh);
+
+      auto output_accessor = output_buffer.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class kernel>([=] {
+        auto in_ptr = input_accessor.get_pointer();
+        auto out_ptr = output_accessor.get_pointer();
+
+        float value = PrefetchingLSU::load(
+            in_ptr, ext::oneapi::experimental::properties(
+                        ext::intel::experimental::latency_anchor_id<0>));
+
+        BurstCoalescedLSU::store(
+            out_ptr, value,
+            ext::oneapi::experimental::properties(
+                ext::intel::experimental::latency_constraint<
+                    0, ext::intel::experimental::latency_control_type::exact,
+                    5>));
+      });
+    });
+  }
+
+  if (output_data[0] != input_data[0]) {
+    std::cout << "Unexpected read from output_data: " << output_data[0]
+              << ", v.s. expected " << input_data[0] << std::endl;
+
+    return -1;
+  }
+  return 0;
+}
+
+int main() {
+  queue Queue{ext::intel::fpga_emulator_selector{}};
+
+  return test_latency_control(Queue);
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_latency_control_pipe.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_latency_control_pipe.cpp
new file mode 100644
index 0000000000000..3525a6aecf633
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_latency_control_pipe.cpp
@@ -0,0 +1,67 @@
+//== fpga_latency_control_pipe.cpp - SYCL FPGA latency control on pipe test ==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: opencl-aot, accelerator
+// RUN: %clangxx -fsycl -fintelfpga %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using Pipe1 = ext::intel::experimental::pipe<class PipeClass1, int, 8>;
+using Pipe2 = ext::intel::experimental::pipe<class PipeClass2, int, 8>;
+
+int test_latency_control(queue Queue) {
+  std::vector<int> input_data = {1};
+  std::vector<int> output_data = {0};
+
+  {
+    buffer input_buffer(input_data);
+    buffer output_buffer(output_data);
+
+    Queue.submit([&](handler &cgh) {
+      auto input_accessor = input_buffer.get_access<access::mode::read>(cgh);
+
+      auto output_accessor = output_buffer.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class kernel>([=] {
+        Pipe1::write(input_accessor[0]);
+
+        int value = Pipe1::read(ext::oneapi::experimental::properties(
+            ext::intel::experimental::latency_anchor_id<0>));
+
+        Pipe2::write(
+            value,
+            ext::oneapi::experimental::properties(
+                ext::intel::experimental::latency_anchor_id<1>,
+                ext::intel::experimental::latency_constraint<
+                    0, ext::intel::experimental::latency_control_type::exact,
+                    2>));
+
+        output_accessor[0] = Pipe2::read();
+      });
+    });
+  }
+
+  if (output_data[0] != input_data[0]) {
+    std::cout << "Unexpected read from output_data: " << output_data[0]
+              << ", v.s. expected " << input_data[0] << std::endl;
+
+    return -1;
+  }
+  return 0;
+}
+
+int main() {
+  queue Queue{ext::intel::fpga_emulator_selector{}};
+
+  return test_latency_control(Queue);
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_lsu.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_lsu.cpp
new file mode 100644
index 0000000000000..e064916d5ce25
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_lsu.cpp
@@ -0,0 +1,80 @@
+//==----------------- fpga_lsu.cpp - SYCL FPGA LSU test --------------------==//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: accelerator, opencl-aot
+// RUN: %clangxx -fsycl -fintelfpga %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+int test_lsu(sycl::queue Queue) {
+  int output_data[2];
+  for (size_t i = 0; i < 2; i++) {
+    output_data[i] = -1;
+  }
+
+  int input_data[2];
+  for (size_t i = 0; i < 2; i++) {
+    input_data[i] = i + 1;
+  }
+
+  {
+    sycl::buffer<int, 1> output_buffer(output_data, 1);
+    sycl::buffer<int, 1> input_buffer(input_data, 1);
+
+    Queue.submit([&](sycl::handler &cgh) {
+      auto output_accessor =
+          output_buffer.get_access<sycl::access::mode::write>(cgh);
+      auto input_accessor =
+          input_buffer.get_access<sycl::access::mode::read>(cgh);
+
+      cgh.single_task<class kernel>([=] {
+        auto input_ptr = input_accessor.get_pointer();
+        auto output_ptr = output_accessor.get_pointer();
+
+        using PrefetchingLSU =
+            sycl::ext::intel::lsu<sycl::ext::intel::prefetch<true>,
+                                  sycl::ext::intel::statically_coalesce<false>>;
+
+        using BurstCoalescedLSU =
+            sycl::ext::intel::lsu<sycl::ext::intel::burst_coalesce<true>,
+                                  sycl::ext::intel::statically_coalesce<false>>;
+
+        using CachingLSU =
+            sycl::ext::intel::lsu<sycl::ext::intel::burst_coalesce<true>,
+                                  sycl::ext::intel::cache<1024>,
+                                  sycl::ext::intel::statically_coalesce<false>>;
+
+        using PipelinedLSU = sycl::ext::intel::lsu<>;
+
+        int X = PrefetchingLSU::load(input_ptr); // int X = input_ptr[0]
+        int Y = CachingLSU::load(input_ptr + 1); // int Y = input_ptr[1]
+
+        BurstCoalescedLSU::store(output_ptr, X); // output_ptr[0] = X
+        PipelinedLSU::store(output_ptr + 1, Y);  // output_ptr[1] = Y
+      });
+    });
+  }
+
+  for (int i = 0; i < 2; i++) {
+    if (output_data[i] != input_data[i]) {
+      std::cout << "Unexpected read from output_data: " << output_data[i]
+                << ", v.s. expected " << input_data[i] << std::endl;
+
+      return -1;
+    }
+  }
+  return 0;
+}
+
+int main() {
+  sycl::queue Queue{sycl::ext::intel::fpga_emulator_selector{}};
+
+  return test_lsu(Queue);
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_pipes.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_pipes.cpp
new file mode 100644
index 0000000000000..2af388e2e615f
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_pipes.cpp
@@ -0,0 +1,332 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+//-fsycl-targets=%sycl_triple
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------------- fpga_pipes.cpp - SYCL FPGA pipes test --------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+
+// Size of an array passing through a pipe
+constexpr size_t N = 10;
+
+// For simple non-blocking pipes with explicit type
+class some_nb_pipe;
+
+// For non-blocking pipes created with namespaces set
+namespace some {
+class nb_pipe;
+}
+
+// For non-blocking template pipes
+template <int N> class templ_nb_pipe;
+
+// For non-blocking multiple pipes
+template <int N>
+using PipeMulNb = sycl::ext::intel::pipe<class templ_nb_pipe<N>, int>;
+static_assert(std::is_same_v<typename PipeMulNb<0>::value_type, int>);
+static_assert(PipeMulNb<0>::min_capacity == 0);
+
+// For simple blocking pipes with explicit type
+class some_bl_pipe;
+
+// For blocking pipes created with namespaces set
+namespace some {
+class bl_pipe;
+}
+
+// For blocking template pipes
+template <int N> class templ_bl_pipe;
+
+// For blocking multiple pipes
+template <int N>
+using PipeMulBl = sycl::ext::intel::pipe<class templ_bl_pipe<N>, int>;
+static_assert(std::is_same_v<typename PipeMulBl<0>::value_type, int>);
+static_assert(PipeMulBl<0>::min_capacity == 0);
+
+// Kernel names
+template <int TestNumber, int KernelNumber = 0> class writer;
+template <int TestNumber, int KernelNumber = 0> class reader;
+
+// Test for simple non-blocking pipes
+template <typename PipeName, int TestNumber>
+int test_simple_nb_pipe(sycl::queue Queue) {
+  int data[] = {0};
+
+  using Pipe = sycl::ext::intel::pipe<PipeName, int>;
+  static_assert(std::is_same_v<typename Pipe::value_type, int>);
+  static_assert(Pipe::min_capacity == 0);
+
+  sycl::buffer<int, 1> readBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber>>([=]() {
+      bool SuccessCode = false;
+      do {
+        Pipe::write(42, SuccessCode);
+      } while (!SuccessCode);
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.single_task<class reader<TestNumber>>([=]() {
+      bool SuccessCode = false;
+      do {
+        write_acc[0] = Pipe::read(SuccessCode);
+      } while (!SuccessCode);
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != 42) {
+    std::cout << "Test: " << TestNumber << "\nResult mismatches "
+              << readHostBuffer[0] << " Vs expected " << 42 << std::endl;
+
+    return -1;
+  }
+
+  return 0;
+}
+
+// Test for multiple non-blocking pipes
+template <int TestNumber> int test_multiple_nb_pipe(sycl::queue Queue) {
+  int data[] = {0};
+
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber, /*KernelNumber*/ 1>>([=]() {
+      bool SuccessCode = false;
+      do {
+        PipeMulNb<1>::write(19, SuccessCode);
+      } while (!SuccessCode);
+    });
+  });
+
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber, /*KernelNumber*/ 2>>([=]() {
+      bool SuccessCode = false;
+      do {
+        PipeMulNb<2>::write(23, SuccessCode);
+      } while (!SuccessCode);
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<class reader<TestNumber>>([=]() {
+      bool SuccessCodeA = false;
+      int Value = 0;
+      do {
+        Value = PipeMulNb<1>::read(SuccessCodeA);
+      } while (!SuccessCodeA);
+      write_acc[0] = Value;
+      bool SuccessCodeB = false;
+      do {
+        Value = PipeMulNb<2>::read(SuccessCodeB);
+      } while (!SuccessCodeB);
+      write_acc[0] += Value;
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != 42) {
+    std::cout << "Test: " << TestNumber << "\nResult mismatches "
+              << readHostBuffer[0] << " Vs expected " << 42 << std::endl;
+
+    return -1;
+  }
+
+  return 0;
+}
+
+// Test for array passing through a non-blocking pipe
+template <int TestNumber> int test_array_th_nb_pipe(sycl::queue Queue) {
+  int data[N] = {0};
+  using AnotherNbPipe = sycl::ext::intel::pipe<class another_nb_pipe, int>;
+  static_assert(std::is_same_v<typename AnotherNbPipe::value_type, int>);
+  static_assert(AnotherNbPipe::min_capacity == 0);
+
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber>>([=]() {
+      bool SuccessCode = false;
+      for (size_t i = 0; i != N; ++i) {
+        do {
+          AnotherNbPipe::write(i, SuccessCode);
+        } while (!SuccessCode);
+      }
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, N);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<class reader<TestNumber>>([=]() {
+      for (size_t i = 0; i != N; ++i) {
+        bool SuccessCode = false;
+        do {
+          write_acc[i] = AnotherNbPipe::read(SuccessCode);
+        } while (!SuccessCode);
+      }
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  for (size_t i = 0; i != N; ++i) {
+    if (readHostBuffer[i] != i)
+      std::cout << "Test: " << TestNumber << "\nResult mismatches "
+                << readHostBuffer[i] << " Vs expected " << i << std::endl;
+    return -1;
+  }
+
+  return 0;
+}
+
+// Test for simple blocking pipes
+template <typename PipeName, int TestNumber>
+int test_simple_bl_pipe(sycl::queue Queue) {
+  int data[] = {0};
+
+  using Pipe = sycl::ext::intel::pipe<PipeName, int>;
+  static_assert(std::is_same_v<typename Pipe::value_type, int>);
+  static_assert(Pipe::min_capacity == 0);
+
+  sycl::buffer<int, 1> readBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber>>([=]() {
+      Pipe::write(42);
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.single_task<class reader<TestNumber>>([=]() {
+      write_acc[0] = Pipe::read();
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != 42) {
+    std::cout << "Test: " << TestNumber << "\nResult mismatches "
+              << readHostBuffer[0] << " Vs expected " << 42 << std::endl;
+
+    return -1;
+  }
+
+  return 0;
+}
+
+// Test for multiple blocking pipes
+template <int TestNumber> int test_multiple_bl_pipe(sycl::queue Queue) {
+  int data[] = {0};
+
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber, /*KernelNumber*/ 1>>([=]() {
+      PipeMulBl<1>::write(19);
+    });
+  });
+
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber, /*KernelNumber*/ 2>>([=]() {
+      PipeMulBl<2>::write(23);
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<class reader<TestNumber>>([=]() {
+      write_acc[0] = PipeMulBl<1>::read();
+      write_acc[0] += PipeMulBl<2>::read();
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != 42) {
+    std::cout << "Test: " << TestNumber << "\nResult mismatches "
+              << readHostBuffer[0] << " Vs expected " << 42 << std::endl;
+
+    return -1;
+  }
+
+  return 0;
+}
+
+// Test for array passing through a blocking pipe
+template <int TestNumber> int test_array_th_bl_pipe(sycl::queue Queue) {
+  int data[N] = {0};
+  using AnotherBlPipe = sycl::ext::intel::pipe<class another_bl_pipe, int>;
+  static_assert(std::is_same_v<typename AnotherBlPipe::value_type, int>);
+  static_assert(AnotherBlPipe::min_capacity == 0);
+
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer<TestNumber>>([=]() {
+      for (size_t i = 0; i != N; ++i)
+        AnotherBlPipe::write(i);
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, N);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<class reader<TestNumber>>([=]() {
+      for (size_t i = 0; i != N; ++i)
+        write_acc[i] = AnotherBlPipe::read();
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  for (size_t i = 0; i != N; ++i) {
+    if (readHostBuffer[i] != i)
+      std::cout << "Test: " << TestNumber << "\nResult mismatches "
+                << readHostBuffer[i] << " Vs expected " << i << std::endl;
+    return -1;
+  }
+
+  return 0;
+}
+
+int main() {
+  sycl::queue Queue;
+
+  if (!Queue.get_device()
+           .get_info<sycl::info::device::kernel_kernel_pipe_support>()) {
+    std::cout << "SYCL_ext_intel_data_flow_pipes not supported, skipping"
+              << std::endl;
+    return 0;
+  }
+
+  // Non-blocking pipes
+  int Result = test_simple_nb_pipe<some_nb_pipe, /*test number*/ 1>(Queue);
+  Result &= test_simple_nb_pipe<some::nb_pipe, /*test number*/ 2>(Queue);
+  class forward_nb_pipe;
+  Result &= test_simple_nb_pipe<forward_nb_pipe, /*test number*/ 3>(Queue);
+  Result &= test_simple_nb_pipe<templ_nb_pipe<0>, /*test number*/ 4>(Queue);
+  Result &= test_multiple_nb_pipe</*test number*/ 5>(Queue);
+
+  // Blocking pipes
+  Result &= test_simple_bl_pipe<some_bl_pipe, /*test number*/ 6>(Queue);
+  Result &= test_simple_bl_pipe<some::bl_pipe, /*test number*/ 7>(Queue);
+  class forward_bl_pipe;
+  Result &= test_simple_bl_pipe<forward_bl_pipe, /*test number*/ 8>(Queue);
+  Result &= test_simple_bl_pipe<templ_bl_pipe<0>, /*test number*/ 9>(Queue);
+  Result &= test_multiple_bl_pipe</*test number*/ 10>(Queue);
+
+  // Test for an array data passing through a pipe
+  Result &= test_array_th_nb_pipe</*test number*/ 11>(Queue);
+  Result &= test_array_th_bl_pipe</*test number*/ 12>(Queue);
+
+  return Result;
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_pipes_legacy_ns.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_pipes_legacy_ns.cpp
new file mode 100644
index 0000000000000..ff123e33dfcd6
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_pipes_legacy_ns.cpp
@@ -0,0 +1,59 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==-------- fpga_pipes_legacy_ns.cpp - SYCL FPGA pipes test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+class some_nb_pipe;
+
+// Test for simple non-blocking pipes in legacy namespace (sycl::)
+template <typename PipeName> int test_simple_nb_pipe(sycl::queue Queue) {
+  int data[] = {0};
+
+  using Pipe = sycl::pipe<PipeName, int>;
+
+  sycl::buffer<int, 1> readBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class writer>([=]() {
+      bool SuccessCode = false;
+      do {
+        Pipe::write(42, SuccessCode);
+      } while (!SuccessCode);
+    });
+  });
+
+  sycl::buffer<int, 1> writeBuf(data, 1);
+  Queue.submit([&](sycl::handler &cgh) {
+    auto write_acc = writeBuf.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.single_task<class reader>([=]() {
+      bool SuccessCode = false;
+      do {
+        write_acc[0] = Pipe::read(SuccessCode);
+      } while (!SuccessCode);
+    });
+  });
+
+  auto readHostBuffer = writeBuf.get_access<sycl::access::mode::read>();
+  if (readHostBuffer[0] != 42) {
+    std::cout << "Result mismatches " << readHostBuffer[0] << " Vs expected "
+              << 42 << std::endl;
+
+    return -1;
+  }
+
+  return 0;
+}
+
+int main() {
+  sycl::queue Queue;
+
+  // Non-blocking pipes
+  return test_simple_nb_pipe<some_nb_pipe>(Queue);
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/fpga_queue.cpp b/sycl/test-e2e/Basic/fpga_tests/fpga_queue.cpp
new file mode 100644
index 0000000000000..05cd8c4412c84
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/fpga_queue.cpp
@@ -0,0 +1,162 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------------- fpga_queue.cpp - SYCL FPGA queues test -------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <set>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const int dataSize = 32;
+const int maxNumQueues = 256;
+
+void GetCLQueue(event sycl_event, std::set<cl_command_queue> &cl_queues) {
+  try {
+    cl_command_queue cl_queue;
+    std::vector<cl_event> cl_events = get_native<backend::opencl>(sycl_event);
+    assert(cl_events.size() > 0 && "No native OpenCL events in SYCL event.");
+    cl_int error = clGetEventInfo(cl_events[0], CL_EVENT_COMMAND_QUEUE,
+                                  sizeof(cl_queue), &cl_queue, nullptr);
+    assert(CL_SUCCESS == error && "Failed to obtain queue from OpenCL event");
+
+    cl_queues.insert(cl_queue);
+  } catch (invalid_object_error e) {
+    std::cout << "Failed to get OpenCL queue from SYCL event: " << e.what()
+              << std::endl;
+  }
+}
+
+int getExpectedQueueNumber(cl_device_id device_id, int default_value) {
+  cl_command_queue_properties reportedProps;
+  cl_int iRet = clGetDeviceInfo(device_id, CL_DEVICE_QUEUE_ON_HOST_PROPERTIES,
+                                sizeof(reportedProps), &reportedProps, NULL);
+  assert(CL_SUCCESS == iRet && "Failed to obtain queue info from ocl device");
+  return (reportedProps & CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE)
+             ? 1
+             : default_value;
+}
+
+int main() {
+  int data[dataSize] = {0};
+
+  {
+    queue Queue;
+    std::set<cl_command_queue> cl_queues;
+    event sycl_event;
+
+    // Purpose of this test is to check how many OpenCL queues are being
+    // created from 1 SYCL queue for FPGA device. For that we submit 3 kernels
+    // expecting 3 OpenCL queues created as a result.
+    buffer<int, 1> bufA(data, range<1>(dataSize));
+    buffer<int, 1> bufB(data, range<1>(dataSize));
+    buffer<int, 1> bufC(data, range<1>(dataSize));
+
+    sycl_event = Queue.submit([&](handler &cgh) {
+      auto writeBuffer = bufA.get_access<access::mode::write>(cgh);
+
+      // Create a range.
+      auto myRange = range<1>(dataSize);
+
+      // Create a kernel.
+      auto myKernel = ([=](id<1> idx) { writeBuffer[idx] = idx[0]; });
+
+      cgh.parallel_for<class fpga_writer_1>(myRange, myKernel);
+    });
+    GetCLQueue(sycl_event, cl_queues);
+
+    sycl_event = Queue.submit([&](handler &cgh) {
+      auto writeBuffer = bufB.get_access<access::mode::write>(cgh);
+
+      // Create a range.
+      auto myRange = range<1>(dataSize);
+
+      // Create a kernel.
+      auto myKernel = ([=](id<1> idx) { writeBuffer[idx] = idx[0]; });
+
+      cgh.parallel_for<class fpga_writer_2>(myRange, myKernel);
+    });
+    GetCLQueue(sycl_event, cl_queues);
+
+    sycl_event = Queue.submit([&](handler &cgh) {
+      auto readBufferA = bufA.get_access<access::mode::read>(cgh);
+      auto readBufferB = bufB.get_access<access::mode::read>(cgh);
+      auto writeBuffer = bufC.get_access<access::mode::write>(cgh);
+
+      // Create a range.
+      auto myRange = range<1>(dataSize);
+
+      // Create a kernel.
+      auto myKernel = ([=](id<1> idx) {
+        writeBuffer[idx] = readBufferA[idx] + readBufferB[idx];
+      });
+
+      cgh.parallel_for<class fpga_calculator>(myRange, myKernel);
+    });
+    GetCLQueue(sycl_event, cl_queues);
+
+    int result = cl_queues.size();
+    device dev = Queue.get_device();
+    int expected_result =
+        getExpectedQueueNumber(get_native<backend::opencl>(dev), 3);
+
+    if (expected_result != result) {
+      std::cout << "Result Num of queues = " << result << std::endl
+                << "Expected Num of queues = " << expected_result << std::endl;
+
+      return -1;
+    }
+
+    auto readBufferC = bufC.get_access<access::mode::read>();
+    for (size_t i = 0; i != dataSize; ++i) {
+      if (readBufferC[i] != 2 * i) {
+        std::cout << "Result mismatches " << readBufferC[i] << " Vs expected "
+                  << 2 * i << " for index " << i << std::endl;
+      }
+    }
+  }
+
+  {
+    queue Queue;
+    std::set<cl_command_queue> cl_queues;
+    event sycl_event;
+
+    // Check limits of OpenCL queues creation for accelerator device.
+    buffer<int, 1> buf(&data[0], range<1>(1));
+
+    for (size_t i = 0; i != maxNumQueues + 1; ++i) {
+      sycl_event = Queue.submit([&](handler &cgh) {
+        auto Buffer = buf.get_access<access::mode::write>(cgh);
+
+        // Create a kernel.
+        auto myKernel = ([=]() { Buffer[0] = 0; });
+
+        cgh.single_task<class fpga_kernel>(myKernel);
+      });
+      GetCLQueue(sycl_event, cl_queues);
+    }
+
+    int result = cl_queues.size();
+    device dev = Queue.get_device();
+    int expected_result =
+        getExpectedQueueNumber(get_native<backend::opencl>(dev), maxNumQueues);
+
+    if (expected_result != result) {
+      std::cout << "Result Num of queues = " << result << std::endl
+                << "Expected Num of queues = " << expected_result << std::endl;
+
+      return -1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/fpga_tests/global_fpga_device_selector.cpp b/sycl/test-e2e/Basic/fpga_tests/global_fpga_device_selector.cpp
new file mode 100644
index 0000000000000..c6e605ee5e081
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/global_fpga_device_selector.cpp
@@ -0,0 +1,15 @@
+// REQUIRES: opencl-aot, accelerator
+
+// RUN: %clangxx -fsycl -fintelfpga %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+// Check that FPGA emulator device is found if we try to initialize inline
+// global variable using fpga_emulator_selector parameter.
+
+inline sycl::queue fpga_emu_queue_inlined{
+    sycl::ext::intel::fpga_emulator_selector{}};
+
+int main() { return 0; }
diff --git a/sycl/test-e2e/Basic/fpga_tests/io_pipe_def.h b/sycl/test-e2e/Basic/fpga_tests/io_pipe_def.h
new file mode 100644
index 0000000000000..54a5b48e34ff6
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/io_pipe_def.h
@@ -0,0 +1,12 @@
+#include <sycl/ext/intel/fpga_extensions.hpp>
+
+namespace intelfpga {
+template <unsigned ID> struct ethernet_pipe_id {
+  static constexpr unsigned id = ID;
+};
+
+using ethernet_read_pipe =
+    sycl::ext::intel::kernel_readable_io_pipe<ethernet_pipe_id<0>, int, 0>;
+using ethernet_write_pipe =
+    sycl::ext::intel::kernel_writeable_io_pipe<ethernet_pipe_id<1>, int, 0>;
+} // namespace intelfpga
diff --git a/sycl/test-e2e/Basic/fpga_tests/pipes_info.cpp b/sycl/test-e2e/Basic/fpga_tests/pipes_info.cpp
new file mode 100644
index 0000000000000..dcbe4d74115f5
--- /dev/null
+++ b/sycl/test-e2e/Basic/fpga_tests/pipes_info.cpp
@@ -0,0 +1,34 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==--------- pipes_info.cpp - SYCL device pipe info test --*- C++ -*-------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Queue;
+  sycl::device Device = Queue.get_device();
+  sycl::platform Platform = Device.get_platform();
+
+  // Query if the device supports kernel to kernel pipe feature
+  bool IsSupported =
+      Device.get_info<sycl::info::device::kernel_kernel_pipe_support>();
+
+  // Query for platform string. We expect only Intel FPGA platforms to support
+  // SYCL_ext_intel_data_flow_pipes extension.
+  std::string platform_name = Platform.get_info<sycl::info::platform::name>();
+  bool SupposedToBeSupported =
+      (platform_name == "Intel(R) FPGA Emulation Platform for OpenCL(TM)" ||
+       platform_name == "Intel(R) FPGA SDK for OpenCL(TM)")
+          ? true
+          : false;
+
+  return (SupposedToBeSupported != IsSupported);
+}
diff --git a/sycl/test-e2e/Basic/free_function_queries/free_function_queries.cpp b/sycl/test-e2e/Basic/free_function_queries/free_function_queries.cpp
new file mode 100644
index 0000000000000..be7b509bf89e8
--- /dev/null
+++ b/sycl/test-e2e/Basic/free_function_queries/free_function_queries.cpp
@@ -0,0 +1,177 @@
+// FIXME: Investigate OS-agnostic failures
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: windows
+// The failure is caused by intel/llvm#5213
+
+//==- free_function_queries.cpp - SYCL free function queries test -=//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===------------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+#include <type_traits>
+
+int main() {
+  constexpr std::size_t n = 1030;
+
+  int data[n]{};
+  int counter{0};
+
+  {
+    constexpr int checks_number{3};
+    int results[checks_number]{};
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(n));
+      sycl::buffer<int> results_buf(results, sycl::range<1>(checks_number));
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            results_acc(results_buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class IdTest>(n, [=](sycl::id<1> i) {
+          auto that_id = sycl::ext::oneapi::experimental::this_id<1>();
+          results_acc[0] = that_id == i;
+
+          auto that_item = sycl::ext::oneapi::experimental::this_item<1>();
+          results_acc[1] = that_item.get_id() == i;
+          results_acc[2] = that_item.get_range() == sycl::range<1>(n);
+          acc[i]++;
+        });
+      });
+    }
+    ++counter;
+    for (int i = 0; i < n; i++) {
+      assert(data[i] == counter);
+    }
+    for (auto val : results) {
+      assert(val == 1);
+    }
+  }
+
+  {
+    constexpr int checks_number{2};
+    int results[checks_number]{};
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(n));
+      sycl::buffer<int> results_buf(results, sycl::range<1>(checks_number));
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            results_acc(results_buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class ItemTest>(n, [=](auto i) {
+          static_assert(std::is_same<decltype(i), sycl::item<1>>::value,
+                        "lambda arg type is unexpected");
+          auto that_id = sycl::ext::oneapi::experimental::this_id<1>();
+          results_acc[0] = i.get_id() == that_id;
+          auto that_item = sycl::ext::oneapi::experimental::this_item<1>();
+          results_acc[1] = i == that_item;
+          acc[i]++;
+        });
+      });
+    }
+    ++counter;
+    for (int i = 0; i < n; i++) {
+      assert(data[i] == counter);
+    }
+    for (auto val : results) {
+      assert(val == 1);
+    }
+  }
+
+  {
+    constexpr int checks_number{2};
+    int results[checks_number]{};
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(n));
+      sycl::buffer<int> results_buf(results, sycl::range<1>(checks_number));
+      sycl::queue q;
+      sycl::id<1> offset(1);
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            results_acc(results_buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class ItemOffsetTest>(
+            sycl::range<1>{n}, offset, [=](sycl::item<1, true> i) {
+              auto that_id = sycl::ext::oneapi::experimental::this_id<1>();
+              results_acc[0] = i.get_id() == that_id;
+              auto that_item = sycl::ext::oneapi::experimental::this_item<1>();
+              results_acc[1] = i == that_item;
+              acc[that_item.get_linear_id()]++;
+            });
+      });
+    }
+    ++counter;
+    for (int i = 0; i < n; i++) {
+      assert(data[i] == counter);
+    }
+    for (auto val : results) {
+      assert(val == 1);
+    }
+  }
+
+  {
+    constexpr int checks_number{5};
+    int results[checks_number]{};
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(n));
+      sycl::buffer<int> results_buf(results, sycl::range<1>(checks_number));
+      sycl::queue q;
+      sycl::nd_range<1> NDR(sycl::range<1>{n}, sycl::range<1>{2});
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            results_acc(results_buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class NdItemTest>(NDR, [=](auto nd_i) {
+          static_assert(std::is_same<decltype(nd_i), sycl::nd_item<1>>::value,
+                        "lambda arg type is unexpected");
+          auto that_nd_item =
+              sycl::ext::oneapi::experimental::this_nd_item<1>();
+          results_acc[0] = that_nd_item == nd_i;
+          auto nd_item_group = that_nd_item.get_group();
+          results_acc[1] =
+              nd_item_group == sycl::ext::oneapi::experimental::this_group<1>();
+          auto nd_item_id = that_nd_item.get_global_id();
+          results_acc[2] =
+              nd_item_id == sycl::ext::oneapi::experimental::this_id<1>();
+          auto that_item = sycl::ext::oneapi::experimental::this_item<1>();
+          results_acc[3] = nd_item_id == that_item.get_id();
+          results_acc[4] =
+              that_nd_item.get_global_range() == that_item.get_range();
+
+          acc[that_nd_item.get_global_id(0)]++;
+        });
+      });
+    }
+    ++counter;
+    for (int i = 0; i < n; i++) {
+      assert(data[i] == counter);
+    }
+    for (auto val : results) {
+      assert(val == 1);
+    }
+  }
+}
diff --git a/sycl/test-e2e/Basic/free_function_queries/free_function_queries_sub_group.cpp b/sycl/test-e2e/Basic/free_function_queries/free_function_queries_sub_group.cpp
new file mode 100644
index 0000000000000..e60f9c12d0fc7
--- /dev/null
+++ b/sycl/test-e2e/Basic/free_function_queries/free_function_queries_sub_group.cpp
@@ -0,0 +1,81 @@
+// FIXME: Investigate OS-agnostic failures
+// REQUIRES: TEMPORARY_DISABLED
+// UNSUPPORTED: cuda || hip
+// CUDA and HIP compilation and runtime do not yet support sub-groups.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: windows
+// The failure is caused by intel/llvm#5213
+
+//==- free_function_queries_sub_group.cpp - SYCL free queries for sub group -=//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===------------------------------------------------------------------------===//
+
+#include "../../SubGroup/helper.hpp"
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+#include <type_traits>
+
+int main() {
+  constexpr std::size_t n = 10;
+
+  int data[n]{};
+  int counter{0};
+  {
+    constexpr int checks_number{4};
+    int results[checks_number]{};
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(n));
+      sycl::buffer<int> results_buf(results, sycl::range<1>(checks_number));
+      sycl::queue q;
+      if (!core_sg_supported(q.get_device())) {
+        std::cout << "Skipping test" << std::endl;
+        return 0;
+      }
+      sycl::nd_range<1> NDR(sycl::range<1>{n}, sycl::range<1>{2});
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            results_acc(results_buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class NdItemTest>(NDR, [=](auto nd_i) {
+          static_assert(std::is_same<decltype(nd_i), sycl::nd_item<1>>::value,
+                        "lambda arg type is unexpected");
+          auto that_nd_item =
+              sycl::ext::oneapi::experimental::this_nd_item<1>();
+          results_acc[0] = that_nd_item == nd_i;
+
+          auto that_sub_group =
+              sycl::ext::oneapi::experimental::this_sub_group();
+          results_acc[1] = that_sub_group.get_local_linear_id() ==
+                           that_nd_item.get_sub_group().get_local_linear_id();
+          results_acc[2] = that_sub_group.get_local_id() ==
+                           that_nd_item.get_sub_group().get_local_id();
+          results_acc[3] = that_sub_group.get_local_range() ==
+                           that_nd_item.get_sub_group().get_local_range();
+
+          acc[that_nd_item.get_global_id(0)]++;
+        });
+      });
+    }
+    ++counter;
+    for (int i = 0; i < n; i++) {
+      assert(data[i] == counter);
+    }
+    for (auto val : results) {
+      assert(val == 1);
+    }
+  }
+}
diff --git a/sycl/test-e2e/Basic/get_backend.cpp b/sycl/test-e2e/Basic/get_backend.cpp
new file mode 100644
index 0000000000000..093df49470ba5
--- /dev/null
+++ b/sycl/test-e2e/Basic/get_backend.cpp
@@ -0,0 +1,65 @@
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %t.out
+//
+//==----------------- get_backend.cpp ------------------------==//
+// This is a test of get_backend().
+// Do not set ONEAPI_DEVICE_SELECTOR. We do not want the preferred
+// backend.
+//==----------------------------------------------------------==//
+
+#include <iostream>
+#include <sycl/backend_types.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+bool check(backend be) {
+  switch (be) {
+  case backend::opencl:
+  case backend::ext_oneapi_level_zero:
+  case backend::ext_oneapi_cuda:
+  case backend::ext_oneapi_hip:
+    return true;
+  default:
+    return false;
+  }
+  return false;
+}
+
+inline void return_fail() {
+  std::cout << "Failed" << std::endl;
+  exit(1);
+}
+
+int main() {
+  for (const auto &plt : platform::get_platforms()) {
+    if (check(plt.get_backend()) == false) {
+      return_fail();
+    }
+
+    context c(plt);
+    if (c.get_backend() != plt.get_backend()) {
+      return_fail();
+    }
+
+    queue q(c, default_selector_v);
+    if (q.get_backend() != plt.get_backend()) {
+      return_fail();
+    }
+
+    auto device = q.get_device();
+    if (device.get_backend() != plt.get_backend()) {
+      return_fail();
+    }
+
+    unsigned char *HostAlloc = (unsigned char *)malloc_host(1, c);
+    auto e = q.memset(HostAlloc, 42, 1);
+    if (e.get_backend() != plt.get_backend()) {
+      return_fail();
+    }
+    free(HostAlloc, c);
+  }
+  std::cout << "Passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/gpu_max_wgs_error.cpp b/sycl/test-e2e/Basic/gpu_max_wgs_error.cpp
new file mode 100644
index 0000000000000..e5425cd4e882f
--- /dev/null
+++ b/sycl/test-e2e/Basic/gpu_max_wgs_error.cpp
@@ -0,0 +1,40 @@
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -fno-sycl-id-queries-fit-in-int
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <numeric>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const std::string expected_msg =
+    "Total number of work-items in a work-group cannot exceed";
+
+template <int N>
+void check(range<N> global, range<N> local, bool expect_fail = false) {
+  queue q;
+  try {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for(nd_range<N>(global, local), [=](nd_item<N> item) {});
+    });
+    assert(!expect_fail && "Exception expected");
+  } catch (nd_range_error e) {
+    if (expect_fail) {
+      std::string msg = e.what();
+      assert(msg.rfind(expected_msg, 0) == 0 && "Unexpected error message");
+    } else {
+      throw e;
+    }
+  }
+}
+
+int main() {
+  queue q;
+  device d = q.get_device();
+  id<2> max_2 = d.get_info<sycl::info::device::max_work_item_sizes<2>>();
+  check(range<2>(max_2[0], max_2[1]), range<2>(max_2[0], max_2[1]), true);
+
+  id<3> max_3 = d.get_info<sycl::info::device::max_work_item_sizes<3>>();
+  check(range<3>(max_3[0], max_3[1], max_3[2]),
+        range<3>(max_3[0], max_3[1], max_3[2]), true);
+}
diff --git a/sycl/test-e2e/Basic/group_async_copy.cpp b/sycl/test-e2e/Basic/group_async_copy.cpp
new file mode 100644
index 0000000000000..ab18bea2e6963
--- /dev/null
+++ b/sycl/test-e2e/Basic/group_async_copy.cpp
@@ -0,0 +1,172 @@
+// RUN: %clangxx -fsycl -std=c++17 -fsycl-targets=%sycl_triple %s -o %t.run
+// RUN: %GPU_RUN_PLACEHOLDER %t.run
+// RUN: %CPU_RUN_PLACEHOLDER %t.run
+// RUN: %ACC_RUN_PLACEHOLDER %t.run
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <typeinfo>
+
+using namespace sycl;
+
+template <typename T> class TypeHelper;
+
+template <typename T>
+using KernelName = class TypeHelper<typename std::conditional<
+    std::is_same<T, std::byte>::value, unsigned char, T>::type>;
+
+// Define the number of work items to enqueue.
+const size_t NElems = 32;
+const size_t WorkGroupSize = 8;
+const size_t NWorkGroups = NElems / WorkGroupSize;
+
+template <typename T> void initInputBuffer(buffer<T, 1> &Buf, size_t Stride) {
+  auto Acc = Buf.template get_access<access::mode::write>();
+  for (size_t I = 0; I < Buf.get_count(); I += WorkGroupSize) {
+    for (size_t J = 0; J < WorkGroupSize; J++)
+      Acc[I + J] = static_cast<T>(I + J + ((J % Stride == 0) ? 100 : 0));
+  }
+}
+
+template <typename T> void initOutputBuffer(buffer<T, 1> &Buf) {
+  auto Acc = Buf.template get_access<access::mode::write>();
+  for (size_t I = 0; I < Buf.get_count(); I++)
+    Acc[I] = static_cast<T>(0);
+}
+
+template <typename T> struct is_vec : std::false_type {};
+template <typename T, size_t N> struct is_vec<vec<T, N>> : std::true_type {};
+
+template <typename T> bool checkEqual(vec<T, 1> A, size_t B) {
+  T TB = B;
+  return A.s0() == TB;
+}
+
+template <typename T> bool checkEqual(vec<T, 4> A, size_t B) {
+  T TB = B;
+  return A.x() == TB && A.y() == TB && A.z() == TB && A.w() == TB;
+}
+
+template <typename T>
+typename std::enable_if_t<!is_vec<T>::value, bool> checkEqual(T A, size_t B) {
+  T TB = static_cast<T>(B);
+  return A == TB;
+}
+
+template <typename T> std::string toString(vec<T, 1> A) {
+  std::string R("(");
+  return R + std::to_string(A.s0()) + ")";
+}
+
+template <typename T> std::string toString(vec<T, 4> A) {
+  std::string R("(");
+  R += std::to_string(A.x()) + "," + std::to_string(A.y()) + "," +
+       std::to_string(A.z()) + "," + std::to_string(A.w()) + ")";
+  return R;
+}
+
+template <typename T = void>
+typename std::enable_if_t<
+    !is_vec<T>::value && std::is_same<T, std::byte>::value, std::string>
+toString(T A) {
+  return std::to_string((unsigned char)A);
+}
+
+template <typename T = void>
+typename std::enable_if_t<
+    !is_vec<T>::value && !std::is_same<T, std::byte>::value, std::string>
+toString(T A) {
+  return std::to_string(A);
+}
+
+template <typename T> int checkResults(buffer<T, 1> &OutBuf, size_t Stride) {
+  auto Out = OutBuf.template get_access<access::mode::read>();
+  int EarlyFailout = 20;
+
+  for (size_t I = 0; I < OutBuf.get_count(); I += WorkGroupSize) {
+    for (size_t J = 0; J < WorkGroupSize; J++) {
+      size_t ExpectedVal = (J % Stride == 0) ? (100 + I + J) : 0;
+      if (!checkEqual(Out[I + J], ExpectedVal)) {
+        std::cerr << std::string(typeid(T).name()) + ": Stride=" << Stride
+                  << " : Incorrect value at index " << I + J
+                  << " : Expected: " << toString(ExpectedVal)
+                  << ", Computed: " << toString(Out[I + J]) << "\n";
+        if (--EarlyFailout == 0)
+          return 1;
+      }
+    }
+  }
+  return EarlyFailout - 20;
+}
+
+template <typename T> int test(size_t Stride) {
+  queue Q;
+
+  buffer<T, 1> InBuf(NElems);
+  buffer<T, 1> OutBuf(NElems);
+
+  initInputBuffer(InBuf, Stride);
+  initOutputBuffer(OutBuf);
+
+  Q.submit([&](handler &CGH) {
+     auto In = InBuf.template get_access<access::mode::read>(CGH);
+     auto Out = OutBuf.template get_access<access::mode::write>(CGH);
+     local_accessor<T, 1> Local(range<1>{WorkGroupSize}, CGH);
+
+     nd_range<1> NDR{range<1>(NElems), range<1>(WorkGroupSize)};
+     CGH.parallel_for<KernelName<T>>(NDR, [=](nd_item<1> NDId) {
+       auto GrId = NDId.get_group_linear_id();
+       auto Group = NDId.get_group();
+       size_t NElemsToCopy =
+           WorkGroupSize / Stride + ((WorkGroupSize % Stride) ? 1 : 0);
+       size_t Offset = GrId * WorkGroupSize;
+       if (Stride == 1) { // Check the version without stride arg.
+         auto E = NDId.async_work_group_copy(
+             local_ptr<T>(Local), In.get_pointer() + Offset, NElemsToCopy);
+         E.wait();
+       } else {
+         auto E = NDId.async_work_group_copy(local_ptr<T>(Local),
+                                             In.get_pointer() + Offset,
+                                             NElemsToCopy, Stride);
+         E.wait();
+       }
+
+       if (Stride == 1) { // Check the version without stride arg.
+         auto E = Group.async_work_group_copy(
+             Out.get_pointer() + Offset, local_ptr<T>(Local), NElemsToCopy);
+         Group.wait_for(E);
+       } else {
+         auto E = Group.async_work_group_copy(Out.get_pointer() + Offset,
+                                              local_ptr<T>(Local), NElemsToCopy,
+                                              Stride);
+         Group.wait_for(E);
+       }
+     });
+   }).wait();
+
+  return checkResults(OutBuf, Stride);
+}
+
+int main() {
+  for (int Stride = 1; Stride < WorkGroupSize; Stride++) {
+    if (test<int>(Stride))
+      return 1;
+    if (test<vec<int, 1>>(Stride))
+      return 1;
+    if (test<int4>(Stride))
+      return 1;
+    if (test<bool>(Stride))
+      return 1;
+    if (test<vec<bool, 1>>(Stride))
+      return 1;
+    if (test<vec<bool, 4>>(Stride))
+      return 1;
+    if (test<sycl::opencl::cl_bool>(Stride))
+      return 1;
+    if (test<std::byte>(Stride))
+      return 1;
+  }
+
+  std::cout << "Test passed.\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/group_local_id.cpp b/sycl/test-e2e/Basic/group_local_id.cpp
new file mode 100644
index 0000000000000..47849f93cabc0
--- /dev/null
+++ b/sycl/test-e2e/Basic/group_local_id.cpp
@@ -0,0 +1,33 @@
+// REQUIRES: cpu
+
+// RUN: %clangxx -fsycl -std=c++17 -fsycl-targets=%sycl_triple %s -o %t.run
+// RUN: %CPU_RUN_PLACEHOLDER %t.run
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue q(cpu_selector_v);
+
+  const int sz = 16;
+  q.submit([&](handler &h) {
+    h.parallel_for(nd_range<1>{sz, sz}, [=](nd_item<1> item) {
+      assert(item.get_local_id() == item.get_group().get_local_id());
+    });
+  });
+  q.submit([&](handler &h) {
+    h.parallel_for(
+        nd_range<2>{range<2>{sz, sz}, range<2>{sz, sz}}, [=](nd_item<2> item) {
+          assert(item.get_local_id() == item.get_group().get_local_id());
+        });
+  });
+  q.submit([&](handler &h) {
+    h.parallel_for(nd_range<3>{range<3>{sz, sz, sz}, range<3>{sz, sz, sz}},
+                   [=](nd_item<3> item) {
+                     assert(item.get_local_id() ==
+                            item.get_group().get_local_id());
+                   });
+  });
+  q.wait();
+}
diff --git a/sycl/test-e2e/Basic/half_type.cpp b/sycl/test-e2e/Basic/half_type.cpp
new file mode 100644
index 0000000000000..004ef340ac131
--- /dev/null
+++ b/sycl/test-e2e/Basic/half_type.cpp
@@ -0,0 +1,330 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- half_type.cpp - SYCL half type test --------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cmath>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <unordered_set>
+
+using namespace sycl;
+
+constexpr size_t N = 100;
+
+template <typename T> void assert_close(const T &C, const sycl::half ref) {
+  for (size_t i = 0; i < N; i++) {
+    auto diff = C[i] - ref;
+    assert(std::fabs(static_cast<float>(diff)) <
+           std::numeric_limits<sycl::half>::epsilon());
+  }
+}
+
+void verify_add(queue &q, buffer<half, 1> &a, buffer<half, 1> &b, range<1> &r,
+                const half ref) {
+  buffer<half, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_add>(
+        r, [=](id<1> index) { C[index] = A[index] + B[index]; });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_min(queue &q, buffer<half, 1> &a, buffer<half, 1> &b, range<1> &r,
+                const half ref) {
+  buffer<half, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_min>(
+        r, [=](id<1> index) { C[index] = A[index] - B[index]; });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_mul(queue &q, buffer<half, 1> &a, buffer<half, 1> &b, range<1> &r,
+                const half ref) {
+  buffer<half, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_mul>(
+        r, [=](id<1> index) { C[index] = A[index] * B[index]; });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_div(queue &q, buffer<half, 1> &a, buffer<half, 1> &b, range<1> &r,
+                const float ref) {
+  buffer<half, 1> c{r};
+
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc_div>(
+        r, [=](id<1> index) { C[index] = A[index] / B[index]; });
+  });
+
+  assert_close(c.get_access<access::mode::read>(), ref);
+}
+
+void verify_vec(queue &q) {
+  half2 hvec(999);
+  int a = 0;
+  buffer<int, 1> e(&a, range<1>(1));
+  q.submit([&](sycl::handler &cgh) {
+    auto E = e.get_access<access::mode::write>(cgh);
+    cgh.single_task<class vec_of_half>([=]() {
+      if (int(hvec.s0()) != 999 || int(hvec.s1()) != 999)
+        E[0] = 1;
+    });
+  });
+  assert(e.get_access<access::mode::read>()[0] == 0);
+}
+
+void verify_numeric_limits(queue &q) {
+  // Verify on host side
+  // Static member variables
+  std::numeric_limits<sycl::half>::is_specialized;
+  std::numeric_limits<sycl::half>::is_signed;
+  std::numeric_limits<sycl::half>::is_integer;
+  std::numeric_limits<sycl::half>::is_exact;
+  std::numeric_limits<sycl::half>::has_infinity;
+  std::numeric_limits<sycl::half>::has_quiet_NaN;
+  std::numeric_limits<sycl::half>::has_signaling_NaN;
+  std::numeric_limits<sycl::half>::has_denorm;
+  std::numeric_limits<sycl::half>::has_denorm_loss;
+  std::numeric_limits<sycl::half>::tinyness_before;
+  std::numeric_limits<sycl::half>::traps;
+  std::numeric_limits<sycl::half>::max_exponent10;
+  std::numeric_limits<sycl::half>::max_exponent;
+  std::numeric_limits<sycl::half>::min_exponent10;
+  std::numeric_limits<sycl::half>::min_exponent;
+  std::numeric_limits<sycl::half>::radix;
+  std::numeric_limits<sycl::half>::max_digits10;
+  std::numeric_limits<sycl::half>::digits;
+  std::numeric_limits<sycl::half>::is_bounded;
+  std::numeric_limits<sycl::half>::digits10;
+  std::numeric_limits<sycl::half>::is_modulo;
+  std::numeric_limits<sycl::half>::is_iec559;
+  std::numeric_limits<sycl::half>::round_style;
+
+  // Static member functions
+  std::numeric_limits<sycl::half>::min();
+  std::numeric_limits<sycl::half>::max();
+  std::numeric_limits<sycl::half>::lowest();
+  std::numeric_limits<sycl::half>::epsilon();
+  std::numeric_limits<sycl::half>::round_error();
+  std::numeric_limits<sycl::half>::infinity();
+  std::numeric_limits<sycl::half>::quiet_NaN();
+  std::numeric_limits<sycl::half>::signaling_NaN();
+  std::numeric_limits<sycl::half>::denorm_min();
+
+  // Verify in kernel function for device side check
+  q.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class kernel>([]() {
+      // Static member variables
+      std::numeric_limits<sycl::half>::is_specialized;
+      std::numeric_limits<sycl::half>::is_signed;
+      std::numeric_limits<sycl::half>::is_integer;
+      std::numeric_limits<sycl::half>::is_exact;
+      std::numeric_limits<sycl::half>::has_infinity;
+      std::numeric_limits<sycl::half>::has_quiet_NaN;
+      std::numeric_limits<sycl::half>::has_signaling_NaN;
+      std::numeric_limits<sycl::half>::has_denorm;
+      std::numeric_limits<sycl::half>::has_denorm_loss;
+      std::numeric_limits<sycl::half>::tinyness_before;
+      std::numeric_limits<sycl::half>::traps;
+      std::numeric_limits<sycl::half>::max_exponent10;
+      std::numeric_limits<sycl::half>::max_exponent;
+      std::numeric_limits<sycl::half>::min_exponent10;
+      std::numeric_limits<sycl::half>::min_exponent;
+      std::numeric_limits<sycl::half>::radix;
+      std::numeric_limits<sycl::half>::max_digits10;
+      std::numeric_limits<sycl::half>::digits;
+      std::numeric_limits<sycl::half>::is_bounded;
+      std::numeric_limits<sycl::half>::digits10;
+      std::numeric_limits<sycl::half>::is_modulo;
+      std::numeric_limits<sycl::half>::is_iec559;
+      std::numeric_limits<sycl::half>::round_style;
+
+      // Static member functions
+      std::numeric_limits<sycl::half>::min();
+      std::numeric_limits<sycl::half>::max();
+      std::numeric_limits<sycl::half>::lowest();
+      std::numeric_limits<sycl::half>::epsilon();
+      std::numeric_limits<sycl::half>::round_error();
+      std::numeric_limits<sycl::half>::infinity();
+      std::numeric_limits<sycl::half>::quiet_NaN();
+      std::numeric_limits<sycl::half>::signaling_NaN();
+      std::numeric_limits<sycl::half>::denorm_min();
+    });
+  });
+}
+
+inline bool bitwise_comparison_fp16(const half val, const uint16_t exp) {
+  return reinterpret_cast<const uint16_t &>(val) == exp;
+}
+
+inline bool bitwise_comparison_fp32(const half val, const uint32_t exp) {
+  const float fp32 = static_cast<float>(val);
+  return reinterpret_cast<const uint32_t &>(fp32) == exp;
+}
+
+constexpr void constexpr_verify_add() {
+  constexpr half a{5.0}, b{2.0}, ref{7.0};
+  constexpr half result = a + b;
+  constexpr half diff = result - ref;
+  constexpr auto sign = diff < 0 ? -1 : 1;
+  static_assert(sign * static_cast<float>(diff) <
+                    std::numeric_limits<sycl::half>::epsilon(),
+                "Constexpr add is wrong");
+}
+
+constexpr void constexpr_verify_sub() {
+  constexpr half a{5.0f}, b{2.0}, ref{3.0};
+  constexpr half result = a - b;
+  constexpr half diff = result - ref;
+  constexpr auto sign = diff < 0 ? -1 : 1;
+  static_assert(sign * static_cast<float>(diff) <
+                    std::numeric_limits<sycl::half>::epsilon(),
+                "Constexpr sub is wrong");
+}
+
+constexpr void constexpr_verify_mul() {
+  constexpr half a{5.0f}, b{2.0}, ref{10.0};
+  constexpr half result = a * b;
+  constexpr half diff = result - ref;
+  constexpr auto sign = diff < 0 ? -1 : 1;
+  static_assert(sign * static_cast<float>(diff) <
+                    std::numeric_limits<sycl::half>::epsilon(),
+                "Constexpr mul is wrong");
+}
+
+constexpr void constexpr_verify_div() {
+  constexpr half a{5.0f}, b{2.0}, ref{2.5};
+  constexpr half result = a / b;
+  constexpr half diff = result - ref;
+  constexpr auto sign = diff < 0 ? -1 : 1;
+  static_assert(sign * static_cast<float>(diff) <
+                    std::numeric_limits<sycl::half>::epsilon(),
+                "Constexpr div is wrong");
+}
+
+int main() {
+  constexpr_verify_add();
+  constexpr_verify_sub();
+  constexpr_verify_mul();
+  constexpr_verify_div();
+
+  device dev{default_selector_v};
+  if (!dev.has(sycl::aspect::fp16)) {
+    std::cout << "This device doesn't support the extension cl_khr_fp16"
+              << std::endl;
+    return 0;
+  }
+
+  std::vector<half> vec_a(N, 5.0);
+  std::vector<half> vec_b(N, 2.0);
+
+  range<1> r(N);
+  buffer<half, 1> a{vec_a.data(), r};
+  buffer<half, 1> b{vec_b.data(), r};
+
+  queue q{dev};
+
+  verify_add(q, a, b, r, 7.0);
+  verify_min(q, a, b, r, 3.0);
+  verify_mul(q, a, b, r, 10.0);
+  verify_div(q, a, b, r, 2.5);
+  verify_vec(q);
+  verify_numeric_limits(q);
+
+  // Basic tests: fp32->fp16
+  // The following references are from `_cvtss_sh` with truncate mode.
+  // +inf
+  assert(bitwise_comparison_fp16(75514, 31744));
+  // -inf
+  assert(bitwise_comparison_fp16(-75514, 64512));
+  // +0
+  assert(bitwise_comparison_fp16(0.0, 0));
+  // -0
+  assert(bitwise_comparison_fp16(-0.0, 32768));
+  // 1.9999f
+  assert(bitwise_comparison_fp16(1.9999f, 0x4000));
+  // nan
+  assert(bitwise_comparison_fp16(0.0 / 0.0, 32256));
+  assert(bitwise_comparison_fp16(-0.0 / 0.0, 32256));
+  // special nan
+  uint32_t special_nan = 0x7f800001;
+  assert(
+      bitwise_comparison_fp16(reinterpret_cast<float &>(special_nan), 32256));
+  special_nan = 0xff800001;
+  assert(
+      bitwise_comparison_fp16(reinterpret_cast<float &>(special_nan), 65024));
+  // subnormal
+  assert(bitwise_comparison_fp16(9.8E-45, 0));
+  assert(bitwise_comparison_fp16(-9.8E-45, 32768));
+  uint32_t subnormal_in_16 = 0x38200000;
+  // verify 0.000038146972 converts to 0.0000382
+  assert(bitwise_comparison_fp16(reinterpret_cast<float &>(subnormal_in_16),
+                                 0x0280));
+  // overflow
+  assert(bitwise_comparison_fp16(half(55504) * 3, 31744));
+  assert(bitwise_comparison_fp16(half(-55504) * 3, 64512));
+  // underflow
+  assert(bitwise_comparison_fp16(half(8.1035e-05) / half(3), 453));
+
+  // Basic tests: fp16->fp32
+  // The following references are from `_cvtsh_ss`.
+  // +inf
+  const uint16_t pinf = 0x7a00;
+  assert(bitwise_comparison_fp32(reinterpret_cast<const half &>(pinf),
+                                 1195376640));
+  // -inf
+  const uint16_t ninf = 0xfa00;
+  assert(bitwise_comparison_fp32(reinterpret_cast<const half &>(ninf),
+                                 3342860288));
+  // +0
+  const uint16_t p0 = 0x0;
+  assert(bitwise_comparison_fp32(reinterpret_cast<const half &>(p0), 0));
+  // -0
+  const uint16_t n0 = 0x8000;
+  assert(
+      bitwise_comparison_fp32(reinterpret_cast<const half &>(n0), 2147483648));
+  // nan
+  const uint16_t nan16 = 0x7a03;
+  assert(bitwise_comparison_fp32(reinterpret_cast<const half &>(nan16),
+                                 1195401216));
+  // subnormal
+  const uint16_t subnormal = 0x0005;
+  assert(bitwise_comparison_fp32(reinterpret_cast<const half &>(subnormal),
+                                 882900992));
+
+  // std::hash<sycl::half>
+  std::unordered_set<half> sets;
+  sets.insert(1.2);
+  assert(sets.find(1.2) != sets.end());
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/handler/handler_copy_with_offset.cpp b/sycl/test-e2e/Basic/handler/handler_copy_with_offset.cpp
new file mode 100644
index 0000000000000..f63ad464f2b59
--- /dev/null
+++ b/sycl/test-e2e/Basic/handler/handler_copy_with_offset.cpp
@@ -0,0 +1,76 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==--- handler_copy_with_offset.cpp - SYCL handler copy with offset test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <exception>
+#include <memory>
+#include <numeric>
+#include <vector>
+
+using namespace sycl;
+constexpr access::mode read = access::mode::read;
+constexpr access::mode write = access::mode::write;
+constexpr access::target ondevice = access::target::device;
+
+int main() {
+  {
+    constexpr size_t Size = 8;
+
+    std::vector<char> DataRaw(Size, 'x');
+    {
+      buffer<char> Buffer{DataRaw.data(), range<1>{Size}};
+
+      std::vector<char> DataGold(Size);
+      std::iota(DataGold.begin(), DataGold.end(), '0');
+
+      queue Queue;
+      Queue.submit([&](handler &CGH) {
+        range<1> AccessRange{4};
+        id<1> AccessOffset{2};
+        auto Accessor =
+            Buffer.get_access<write, ondevice>(CGH, AccessRange, AccessOffset);
+        CGH.copy(DataGold.data(), Accessor);
+      });
+      Queue.wait();
+    }
+
+    std::vector<char> Expected{'x', 'x', '0', '1', '2', '3', 'x', 'x'};
+    if (DataRaw != Expected)
+      throw std::runtime_error("Check of handler.copy(ptr, acc) was failed");
+  }
+
+  {
+    constexpr size_t Size = 8;
+    std::vector<char> DataRaw(Size, 'x');
+    {
+      std::vector<char> DataGold(Size);
+      std::iota(DataGold.begin(), DataGold.end(), '0');
+      buffer<char> Buffer{DataGold.data(), range<1>{Size}};
+
+      queue Queue;
+      Queue.submit([&](handler &CGH) {
+        range<1> AccessRange{4};
+        id<1> AccessOffset{2};
+        auto Accessor =
+            Buffer.get_access<read, ondevice>(CGH, AccessRange, AccessOffset);
+        CGH.copy(Accessor, DataRaw.data());
+      });
+      Queue.wait();
+    }
+    std::vector<char> Expected{'2', '3', '4', '5', 'x', 'x', 'x', 'x'};
+    if (DataRaw != Expected)
+      throw std::runtime_error("Check of handler.copy(acc, ptr) was failed");
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/handler/handler_generic_integral_lambda.cpp b/sycl/test-e2e/Basic/handler/handler_generic_integral_lambda.cpp
new file mode 100644
index 0000000000000..0d302674b8de3
--- /dev/null
+++ b/sycl/test-e2e/Basic/handler/handler_generic_integral_lambda.cpp
@@ -0,0 +1,77 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==-------------- handler_generic_integral_lambda.cpp ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cstddef>
+#include <type_traits>
+#include <utility>
+
+int main() {
+  constexpr std::size_t length = 10;
+
+  {
+    int data[length];
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(length));
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class GenericLambda>(
+            length, [=](auto item) { acc[item.get_id()] = item; });
+      });
+    }
+    for (int i = 0; i < length; i++) {
+      assert(data[i] == i);
+    }
+  }
+
+  {
+    int data[length];
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(length));
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class SizeTLambda>(
+            length, [=](std::size_t item) { acc[item] = item; });
+      });
+    }
+    for (int i = 0; i < length; i++) {
+      assert(data[i] == i);
+    }
+  }
+
+  {
+    int data[length];
+    {
+      sycl::buffer<int> buf(data, sycl::range<1>(length));
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        sycl::accessor<int, 1, sycl::access::mode::write,
+                       sycl::access::target::device>
+            acc(buf.get_access<sycl::access::mode::write>(cgh));
+        cgh.parallel_for<class IntLambda>(length,
+                                          [=](int item) { acc[item] = item; });
+      });
+    }
+    for (int i = 0; i < length; i++) {
+      assert(data[i] == i);
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/handler/handler_mem_op.cpp b/sycl/test-e2e/Basic/handler/handler_mem_op.cpp
new file mode 100644
index 0000000000000..dd825a1413531
--- /dev/null
+++ b/sycl/test-e2e/Basic/handler/handler_mem_op.cpp
@@ -0,0 +1,747 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==- handler.cpp - SYCL handler explicit memory operations test -*- C++-*--==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+#include <numeric>
+
+using namespace sycl;
+
+template <typename T> struct point {
+  point(const point &rhs) = default;
+  point(T x, T y) : x(x), y(y) {}
+  point(T v) : x(v), y(v) {}
+  point() : x(0), y(0) {}
+  bool operator==(const T &rhs) const { return rhs == x && rhs == y; }
+  bool operator==(const point<T> &rhs) const {
+    return rhs.x == x && rhs.y == y;
+  }
+  T x;
+  T y;
+};
+
+template <typename T> void test_fill(T Val);
+template <typename T> void test_copy_ptr_acc();
+template <typename T> void test_3D_copy_ptr_acc();
+template <typename T> void test_copy_acc_ptr();
+template <typename T> void test_3D_copy_acc_ptr();
+template <typename T> void test_copy_shared_ptr_acc();
+template <typename T> void test_copy_shared_ptr_const_acc();
+template <typename T> void test_copy_acc_shared_ptr();
+template <typename T> void test_copy_acc_acc();
+template <typename T> void test_update_host();
+template <typename T> void test_2D_copy_acc_acc();
+template <typename T> void test_3D_copy_acc_acc();
+template <typename T> void test_0D1D_copy_acc_acc();
+template <typename T> void test_1D2D_copy_acc_acc();
+template <typename T> void test_1D3D_copy_acc_acc();
+template <typename T> void test_2D1D_copy_acc_acc();
+template <typename T> void test_2D3D_copy_acc_acc();
+template <typename T> void test_3D1D_copy_acc_acc();
+template <typename T> void test_3D2D_copy_acc_acc();
+
+int main() {
+  // handler.fill
+  {
+    test_fill<int>(888);
+    test_fill<int>(777);
+    test_fill<float>(888.0f);
+    test_fill<point<int>>(point<int>(111.0f, 222.0f));
+    test_fill<point<int>>(point<int>(333.0f));
+    test_fill<point<float>>(point<float>(444.0f, 555.0f));
+  }
+
+  // handler.copy(ptr, acc)
+  {
+    test_copy_ptr_acc<int>();
+    test_copy_ptr_acc<int>();
+    test_copy_ptr_acc<point<int>>();
+    test_copy_ptr_acc<point<int>>();
+    test_copy_ptr_acc<point<float>>();
+  }
+  // handler.copy(ptr, acc) 3D
+  {
+    test_3D_copy_ptr_acc<int>();
+    test_3D_copy_ptr_acc<int>();
+    test_3D_copy_ptr_acc<point<int>>();
+    test_3D_copy_ptr_acc<point<int>>();
+    test_3D_copy_ptr_acc<point<float>>();
+  }
+  // handler.copy(acc, ptr)
+  {
+    test_copy_acc_ptr<int>();
+    test_copy_acc_ptr<int>();
+    test_copy_acc_ptr<point<int>>();
+    test_copy_acc_ptr<point<int>>();
+    test_copy_acc_ptr<point<float>>();
+  }
+  // handler.copy(acc, ptr) 3D
+  {
+    test_3D_copy_acc_ptr<int>();
+    test_3D_copy_acc_ptr<int>();
+    test_3D_copy_acc_ptr<point<int>>();
+    test_3D_copy_acc_ptr<point<int>>();
+    test_3D_copy_acc_ptr<point<float>>();
+  }
+  // handler.copy(shared_ptr, acc)
+  {
+    test_copy_shared_ptr_acc<int>();
+    test_copy_shared_ptr_acc<int>();
+    test_copy_shared_ptr_acc<point<int>>();
+    test_copy_shared_ptr_acc<point<int>>();
+    test_copy_shared_ptr_acc<point<float>>();
+  }
+  // handler.copy(const shared_ptr, acc)
+  {
+    test_copy_shared_ptr_const_acc<int>();
+    test_copy_shared_ptr_const_acc<int>();
+    test_copy_shared_ptr_const_acc<point<int>>();
+    test_copy_shared_ptr_const_acc<point<int>>();
+    test_copy_shared_ptr_const_acc<point<float>>();
+  }
+  // handler.copy(acc, shared_ptr)
+  {
+    test_copy_acc_shared_ptr<int>();
+    test_copy_acc_shared_ptr<int>();
+    test_copy_acc_shared_ptr<point<int>>();
+    test_copy_acc_shared_ptr<point<int>>();
+    test_copy_acc_shared_ptr<point<float>>();
+  }
+  // handler.copy(acc, acc)
+  {
+    test_copy_acc_acc<int>();
+    test_copy_acc_acc<int>();
+    test_copy_acc_acc<point<int>>();
+    test_copy_acc_acc<point<int>>();
+    test_copy_acc_acc<point<float>>();
+  }
+
+  // handler.update_host(acc)
+  {
+    test_update_host<int>();
+    test_update_host<int>();
+    test_update_host<point<int>>();
+    test_update_host<point<int>>();
+    test_update_host<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 2D
+  {
+    test_2D_copy_acc_acc<int>();
+    test_2D_copy_acc_acc<int>();
+    test_2D_copy_acc_acc<point<int>>();
+    test_2D_copy_acc_acc<point<int>>();
+    test_2D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 3D
+  {
+    test_3D_copy_acc_acc<int>();
+    test_3D_copy_acc_acc<int>();
+    test_3D_copy_acc_acc<point<int>>();
+    test_3D_copy_acc_acc<point<int>>();
+    test_3D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 0D to/from 1D
+  {
+    test_0D1D_copy_acc_acc<int>();
+    test_0D1D_copy_acc_acc<point<int>>();
+    test_0D1D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 1D to 2D
+  {
+    test_1D2D_copy_acc_acc<int>();
+    test_1D2D_copy_acc_acc<int>();
+    test_1D2D_copy_acc_acc<point<int>>();
+    test_1D2D_copy_acc_acc<point<int>>();
+    test_1D2D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 1D to 3D
+  {
+    test_1D3D_copy_acc_acc<int>();
+    test_1D3D_copy_acc_acc<int>();
+    test_1D3D_copy_acc_acc<point<int>>();
+    test_1D3D_copy_acc_acc<point<int>>();
+    test_1D3D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 2D to 1D
+  {
+    test_2D1D_copy_acc_acc<int>();
+    test_2D1D_copy_acc_acc<int>();
+    test_2D1D_copy_acc_acc<point<int>>();
+    test_2D1D_copy_acc_acc<point<int>>();
+    test_2D1D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 2D to 3D
+  {
+    test_2D3D_copy_acc_acc<int>();
+    test_2D3D_copy_acc_acc<int>();
+    test_2D3D_copy_acc_acc<point<int>>();
+    test_2D3D_copy_acc_acc<point<int>>();
+    test_2D3D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 3D to 1D
+  {
+    test_3D1D_copy_acc_acc<int>();
+    test_3D1D_copy_acc_acc<int>();
+    test_3D1D_copy_acc_acc<point<int>>();
+    test_3D1D_copy_acc_acc<point<int>>();
+    test_3D1D_copy_acc_acc<point<float>>();
+  }
+
+  // handler.copy(acc, acc) 3D to 2D
+  {
+    test_3D2D_copy_acc_acc<int>();
+    test_3D2D_copy_acc_acc<int>();
+    test_3D2D_copy_acc_acc<point<int>>();
+    test_3D2D_copy_acc_acc<point<int>>();
+    test_3D2D_copy_acc_acc<point<float>>();
+  }
+  std::cout << "finish" << std::endl;
+  return 0;
+}
+
+template <typename T> void test_fill(T Val) {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  const T Value = Val;
+  {
+    buffer<T, 1> Buffer(Data, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.fill(Accessor, Value);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Value);
+  }
+}
+
+template <typename T> void test_copy_ptr_acc() {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  T Values[Size] = {0};
+  for (size_t I = 0; I < Size; ++I) {
+    Values[I] = I;
+  }
+  {
+    buffer<T, 1> Buffer(Data, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.copy(Values, Accessor);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values[I]);
+  }
+
+  // Check copy from 'const void *' memory to accessor.
+  {
+    buffer<T, 1> Buffer(Size);
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      auto Acc = Buffer.template get_access<access::mode::discard_write>(Cgh);
+      Cgh.copy(reinterpret_cast<const void *>(Values), Acc);
+    });
+
+    auto Acc = Buffer.template get_access<access::mode::read>();
+    for (int I = 0; I < Size; ++I)
+      assert(Acc[I] == Values[I]);
+  }
+
+  // Check copy from memory to 0-dimensional accessor.
+  T SrcValue = 99;
+  T DstValue = 0;
+  {
+    buffer<T, 1> DstBuf(&DstValue, range<1>(1));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 0, access::mode::discard_write, access::target::device>
+          DstAcc(DstBuf, Cgh);
+      Cgh.copy(&SrcValue, DstAcc);
+    });
+  }
+  assert(DstValue == 99);
+}
+
+template <typename T> void test_3D_copy_ptr_acc() {
+  const range<3> Range{2, 3, 4};
+  const size_t Size = 2 * 3 * 4;
+  T Data[Size] = {0};
+  T Values[Size] = {0};
+  for (size_t I = 0; I < Size; ++I)
+    Values[I] = I;
+
+  {
+    buffer<T, 3> Buffer(Data, Range);
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 3, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, Range);
+      Cgh.copy(Values, Accessor);
+    });
+  }
+
+  for (int I = 0; I < Size; ++I)
+    assert(Data[I] == Values[I]);
+}
+
+template <typename T> void test_copy_acc_ptr() {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  for (size_t I = 0; I < Size; ++I) {
+    Data[I] = I;
+  }
+  T Values[Size] = {0};
+  {
+    buffer<T, 1> Buffer(Data, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::read, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.copy(Accessor, Values);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values[I]);
+  }
+
+  // Check copy from 'const T' accessor to 'void *' memory.
+  {
+    buffer<const T, 1> Buffer(reinterpret_cast<const T *>(Data),
+                              range<1>(Size));
+    T Dst[Size] = {0};
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      auto Acc = Buffer.template get_access<access::mode::read>(Cgh);
+      Cgh.copy(Acc, reinterpret_cast<void *>(Dst));
+    });
+    Queue.wait();
+
+    for (int I = 0; I < Size; ++I)
+      assert(Dst[I] == Data[I]);
+  }
+
+  // Check copy from 0-dimensional accessor to memory
+  T SrcValue = 99;
+  T DstValue = 0;
+  {
+    buffer<T, 1> SrcBuf(&SrcValue, range<1>(1));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 0, access::mode::read, access::target::device> SrcAcc(SrcBuf,
+                                                                        Cgh);
+      Cgh.copy(SrcAcc, &DstValue);
+    });
+  }
+  assert(DstValue == 99);
+
+  // Check copy from 0-dimensional placeholder accessor to memory
+  SrcValue = 77;
+  DstValue = 0;
+  {
+    buffer<T, 1> SrcBuf(&SrcValue, range<1>(1));
+    accessor<T, 0, access::mode::read, access::target::device,
+             access::placeholder::true_t>
+        SrcAcc(SrcBuf);
+    {
+      queue Queue;
+      Queue.submit([&](handler &Cgh) {
+        Cgh.require(SrcAcc);
+        Cgh.copy(SrcAcc, &DstValue);
+      });
+    }
+  }
+  assert(DstValue == 77);
+}
+
+template <typename T> void test_3D_copy_acc_ptr() {
+  const range<3> Range{2, 3, 4};
+  const size_t Size = 2 * 3 * 4;
+  T Data[Size] = {0};
+  T Values[Size] = {0};
+  for (size_t I = 0; I < Size; ++I)
+    Data[I] = I;
+
+  {
+    buffer<T, 3> Buffer(Data, Range);
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 3, access::mode::read, access::target::device> Accessor(
+          Buffer, Cgh, Range);
+      Cgh.copy(Accessor, Values);
+    });
+  }
+
+  for (size_t I = 0; I < Size; ++I)
+    assert(Data[I] == Values[I]);
+}
+
+template <typename T> void test_copy_shared_ptr_acc() {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  std::shared_ptr<T[]> Values(new T[Size]());
+  for (size_t I = 0; I < Size; ++I) {
+    Values.get()[I] = I;
+  }
+  {
+    buffer<T, 1> Buffer(Data, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.copy(Values, Accessor);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values.get()[I]);
+  }
+}
+
+template <typename T> void test_copy_shared_ptr_const_acc() {
+  constexpr size_t Size = 10;
+  T Data[Size] = {0};
+  std::shared_ptr<const T[]> Values(new T[Size]{0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
+  {
+    buffer<T, 1> Buffer(Data, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.copy(Values, Accessor);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values.get()[I]);
+  }
+}
+
+template <typename T> void test_copy_acc_shared_ptr() {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  for (size_t I = 0; I < Size; ++I) {
+    Data[I] = I;
+  }
+  std::shared_ptr<T[]> Values(new T[Size]());
+  {
+    buffer<T, 1> Buffer(Data, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::read, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.copy(Accessor, Values);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values.get()[I]);
+  }
+}
+
+template <typename T> void test_copy_acc_acc() {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  for (size_t I = 0; I < Size; ++I) {
+    Data[I] = I;
+  }
+  T Values[Size] = {0};
+  {
+    buffer<T, 1> BufferFrom(Data, range<1>(Size));
+    buffer<T, 1> BufferTo(Values, range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<1>(Size));
+      accessor<T, 1, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<1>(Size));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == Values[I]);
+  }
+}
+
+/* This is the class used to name the kernel for the runtime.
+ * This must be done when the kernel is expressed as a lambda. */
+template <typename T> class rawPointer;
+
+template <typename T> void test_update_host() {
+  const size_t Size = 10;
+  T Data[Size] = {0};
+  {
+    auto Buffer =
+        buffer<T, 1>(Data, range<1>(Size), {property::buffer::use_host_ptr()});
+    Buffer.set_final_data(nullptr);
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.parallel_for<class rawPointer<T>>(range<1>{Size},
+          [=](id<1> Index) {
+        Accessor[Index] = Index.get(0); });
+    });
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::write, access::target::device> Accessor(
+          Buffer, Cgh, range<1>(Size));
+      Cgh.update_host(Accessor);
+    });
+  }
+  for (size_t I = 0; I < Size; ++I) {
+    assert(Data[I] == I);
+  }
+}
+
+template <typename T> void test_2D_copy_acc_acc() {
+  const size_t Size = 20;
+  T Data[Size][Size] = {{0}};
+  for (size_t I = 0; I < Size; ++I) {
+    for (size_t J = 0; J < Size; ++J) {
+      Data[I][J] = I + J * Size;
+    }
+  }
+  T Values[Size][Size] = {{0}};
+  {
+    buffer<T, 2> BufferFrom((T *)Data, range<2>(Size, Size));
+    buffer<T, 2> BufferTo((T *)Values, range<2>(Size, Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 2, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<2>(Size, Size));
+      accessor<T, 2, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<2>(Size, Size));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+
+  for (size_t I = 0; I < Size; ++I) {
+    for (size_t J = 0; J < Size; ++J) {
+      assert(Data[I][J] == Values[I][J]);
+    }
+  }
+}
+
+template <typename T> void test_3D_copy_acc_acc() {
+  const size_t Size = 20;
+  T Data[Size][Size][Size] = {{{0}}};
+  for (size_t I = 0; I < Size; ++I) {
+    for (size_t J = 0; J < Size; ++J) {
+      for (size_t K = 0; K < Size; ++K) {
+        Data[I][J][K] = I + J * Size + K * Size * Size;
+      }
+    }
+  }
+  T Values[Size][Size][Size] = {{{0}}};
+  {
+    buffer<T, 3> BufferFrom((T *)Data, range<3>(Size, Size, Size));
+    buffer<T, 3> BufferTo((T *)Values, range<3>(Size, Size, Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 3, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<3>(Size, Size, Size));
+      accessor<T, 3, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<3>(Size, Size, Size));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+
+  for (size_t I = 0; I < Size; ++I) {
+    for (size_t J = 0; J < Size; ++J) {
+      for (size_t K = 0; K < Size; ++K) {
+        assert(Data[I][J][K] == Values[I][J][K]);
+      }
+    }
+  }
+}
+
+template <typename T> void test_0D1D_copy_acc_acc() {
+  // Copy 1 element from 0-dim accessor to 1-dim accessor
+  T Src(1), Dst(0);
+  {
+    buffer<T, 1> BufferFrom(&Src, range<1>(1));
+    buffer<T, 1> BufferTo(&Dst, range<1>(1));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 0, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh);
+      accessor<T, 1, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh);
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Dst == 1);
+
+  // Copy 1 element from 1-dim accessor to 0-dim accessor
+  Src = T(3);
+  Dst = T(0);
+  {
+    buffer<T, 1> BufferFrom(&Src, range<1>(1));
+    buffer<T, 1> BufferTo(&Dst, range<1>(1));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh);
+      accessor<T, 0, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh);
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Dst == 3);
+
+  // Copy 1 element from 0-dim accessor to 0-dim accessor
+  Src = T(7);
+  Dst = T(0);
+  {
+    buffer<T, 1> BufferFrom(&Src, range<1>(1));
+    buffer<T, 1> BufferTo(&Dst, range<1>(1));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 0, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh);
+      accessor<T, 0, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh);
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Dst == 7);
+}
+
+template <typename T> void test_1D2D_copy_acc_acc() {
+  const size_t Size = 20;
+  std::vector<T> Data(Size);
+  std::iota(Data.begin(), Data.end(), 0);
+  std::vector<T> Values(Size, T{});
+  {
+    buffer<T, 1> BufferFrom(&Data[0], range<1>(Size));
+    buffer<T, 2> BufferTo(&Values[0], range<2>(Size / 2, 2));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<1>(Size));
+      accessor<T, 2, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<2>(Size / 2, 2));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Data == Values);
+}
+
+template <typename T> void test_1D3D_copy_acc_acc() {
+  const size_t Size = 20;
+  std::vector<T> Data(Size);
+  std::iota(Data.begin(), Data.end(), 0);
+  std::vector<T> Values(Size, T{});
+  {
+    buffer<T, 1> BufferFrom(&Data[0], range<1>(Size));
+    buffer<T, 3> BufferTo(&Values[0], range<3>(Size / 4, 2, 2));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 1, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<1>(Size));
+      accessor<T, 3, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<3>(Size / 4, 2, 2));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Data == Values);
+}
+
+template <typename T> void test_2D1D_copy_acc_acc() {
+  const size_t Size = 20;
+  std::vector<T> Data(Size);
+  std::iota(Data.begin(), Data.end(), 0);
+  std::vector<T> Values(Size, T{});
+  {
+    buffer<T, 2> BufferFrom(&Data[0], range<2>(Size / 2, 2));
+    buffer<T, 1> BufferTo(&Values[0], range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 2, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<2>(Size / 2, 2));
+      accessor<T, 1, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<1>(Size));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Data == Values);
+}
+
+template <typename T> void test_2D3D_copy_acc_acc() {
+  const size_t Size = 20;
+  std::vector<T> Data(Size);
+  std::iota(Data.begin(), Data.end(), 0);
+  std::vector<T> Values(Size, T{});
+  {
+    buffer<T, 2> BufferFrom(&Data[0], range<2>(Size / 2, 2));
+    buffer<T, 3> BufferTo(&Values[0], range<3>(Size / 4, 2, 2));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 2, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<2>(Size / 2, 2));
+      accessor<T, 3, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<3>(Size / 4, 2, 2));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Data == Values);
+}
+
+template <typename T> void test_3D1D_copy_acc_acc() {
+  const size_t Size = 20;
+  std::vector<T> Data(Size);
+  std::iota(Data.begin(), Data.end(), 0);
+  std::vector<T> Values(Size, T{});
+  {
+    buffer<T, 3> BufferFrom(&Data[0], range<3>(Size / 4, 2, 2));
+    buffer<T, 1> BufferTo(&Values[0], range<1>(Size));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 3, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<3>(Size / 4, 2, 2));
+      accessor<T, 1, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<1>(Size));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Data == Values);
+}
+
+template <typename T> void test_3D2D_copy_acc_acc() {
+  const size_t Size = 20;
+  std::vector<T> Data(Size);
+  std::iota(Data.begin(), Data.end(), 0);
+  std::vector<T> Values(Size, T{});
+  {
+    buffer<T, 3> BufferFrom(&Data[0], range<3>(Size / 4, 2, 2));
+    buffer<T, 2> BufferTo(&Values[0], range<2>(Size / 2, 2));
+    queue Queue;
+    Queue.submit([&](handler &Cgh) {
+      accessor<T, 3, access::mode::read, access::target::device> AccessorFrom(
+          BufferFrom, Cgh, range<3>(Size / 4, 2, 2));
+      accessor<T, 2, access::mode::write, access::target::device> AccessorTo(
+          BufferTo, Cgh, range<2>(Size / 2, 2));
+      Cgh.copy(AccessorFrom, AccessorTo);
+    });
+  }
+  assert(Data == Values);
+}
diff --git a/sycl/test-e2e/Basic/handler/interop_task.cpp b/sycl/test-e2e/Basic/handler/interop_task.cpp
new file mode 100644
index 0000000000000..2cde2698d6eb7
--- /dev/null
+++ b/sycl/test-e2e/Basic/handler/interop_task.cpp
@@ -0,0 +1,77 @@
+// REQUIRES: opencl, opencl_icd
+// RUN: %clangxx -fsycl %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==------- interop_task.cpp -----------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+#include "../../helpers.hpp"
+#include <chrono>
+#include <iostream>
+#include <thread>
+
+int main() {
+  constexpr size_t BufSize = 4;
+
+  int data1[BufSize] = {1, 1, 1, 1};
+
+  sycl::buffer<int, 1> DstBuf(sycl::range<1>{BufSize});
+  sycl::buffer<int, 1> DstBuf2(sycl::range<1>{BufSize});
+
+  TestQueue Queue{sycl::default_selector_v};
+
+  Queue.submit([&](sycl::handler &CGH) {
+    auto DstAcc = DstBuf.get_access<sycl::access::mode::write>(CGH);
+    CGH.parallel_for<class Foo>(sycl::range<1>{BufSize},
+                                [=](sycl::id<1> ID) { DstAcc[ID] = 42; });
+  });
+
+  Queue.submit([&](sycl::handler &CGH) {
+    auto DstAcc = DstBuf.get_access<sycl::access::mode::read>(CGH);
+    auto DstAcc2 = DstBuf2.get_access<sycl::access::mode::write>(CGH);
+
+    CGH.interop_task([=](sycl::interop_handler ih) {
+      cl_command_queue clQueue = ih.get_queue();
+      cl_mem src = ih.get_mem(DstAcc);
+      cl_mem dst2 = ih.get_mem(DstAcc2);
+      clEnqueueCopyBuffer(clQueue, src, dst2, 0, 0, sizeof(int) * BufSize, 0,
+                          nullptr, nullptr);
+    });
+  });
+
+  {
+    auto DstAcc = DstBuf.template get_access<sycl::access::mode::read_write>();
+    const int Expected = 42;
+    for (int I = 0; I < DstAcc.get_count(); ++I)
+      if (DstAcc[I] != Expected) {
+        std::cerr << "Mismatch. Elem " << I << ". Expected: " << Expected
+                  << ", Got: " << DstAcc[I] << std::endl;
+        return 1;
+      }
+  }
+
+  {
+    auto DstAcc2 =
+        DstBuf2.template get_access<sycl::access::mode::read_write>();
+    const int Expected = 42;
+    for (int I = 0; I < DstAcc2.get_count(); ++I)
+      if (DstAcc2[I] != Expected) {
+        std::cerr << "Mismatch. Elem " << I << ". Expected: " << Expected
+                  << ", Got: " << DstAcc2[I] << std::endl;
+        return 1;
+      }
+  }
+
+  std::cout << "Success" << std::endl;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/handler/run_on_host_intel.cpp b/sycl/test-e2e/Basic/handler/run_on_host_intel.cpp
new file mode 100644
index 0000000000000..8f0d7d39f6de8
--- /dev/null
+++ b/sycl/test-e2e/Basic/handler/run_on_host_intel.cpp
@@ -0,0 +1,50 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+//==-- run_on_host_intel.cpp -----------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include "../../helpers.hpp"
+
+template <typename SrcAccType, typename DstAccType>
+void copyAndAdd(SrcAccType SrcAcc, DstAccType DstAcc, int Var) {
+  for (int I = 0; I < (int)DstAcc.get_count(); ++I)
+    DstAcc[I] = Var + SrcAcc[I];
+}
+
+int main() {
+  constexpr size_t BufSize = 4;
+  int data1[BufSize] = {-1, -1, -1, -1};
+  sycl::buffer<int, 1> SrcBuf(data1, sycl::range<1>{BufSize});
+  sycl::buffer<int, 1> DstBuf(sycl::range<1>{BufSize});
+
+  TestQueue Queue{sycl::default_selector_v};
+  Queue.submit([&](sycl::handler &CGH) {
+    auto SrcAcc = SrcBuf.get_access<sycl::access::mode::read>(CGH);
+    auto DstAcc = DstBuf.get_access<sycl::access::mode::write>(CGH);
+    const int Var = 43;
+
+    CGH.run_on_host_intel([=]() { copyAndAdd(SrcAcc, DstAcc, Var); });
+  });
+
+  auto DstAcc = DstBuf.template get_access<sycl::access::mode::read_write>();
+  const int Expected = 42;
+  for (int I = 0; I < DstAcc.get_count(); ++I)
+    if (DstAcc[I] != Expected) {
+      std::cerr << "Mismatch. Elem " << I << ". Expected: " << Expected
+                << ", Got: " << DstAcc[I] << std::endl;
+      return 1;
+    }
+
+  std::cout << "Success" << std::endl;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/handler/run_on_host_intel2.cpp b/sycl/test-e2e/Basic/handler/run_on_host_intel2.cpp
new file mode 100644
index 0000000000000..97b9480848cb0
--- /dev/null
+++ b/sycl/test-e2e/Basic/handler/run_on_host_intel2.cpp
@@ -0,0 +1,22 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+// This tests that early free of command (and, hence, the command group) won't
+// affect "native kernel" feature support.
+int main(void) {
+  sycl::queue Q;
+
+  int *Ptr = new int;
+
+  auto E = Q.submit(
+      [&](sycl::handler &CGH) { CGH.run_on_host_intel([=] { *Ptr = 5; }); });
+
+  E.wait();
+
+  std::cout << "Finished successfully\n";
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/host-task-dependency.cpp b/sycl/test-e2e/Basic/host-task-dependency.cpp
new file mode 100644
index 0000000000000..aee0e5aa23eab
--- /dev/null
+++ b/sycl/test-e2e/Basic/host-task-dependency.cpp
@@ -0,0 +1,221 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %threads_lib
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=-1 %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_PI_TRACE=-1 %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER SYCL_PI_TRACE=-1 %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+//
+// TODO: Behaviour is unstable for level zero on Windows. Enable when fixed.
+// TODO: The test is sporadically fails on CUDA. Enable when fixed.
+// UNSUPPORTED: (windows && level_zero) || hip_nvidia
+
+#define SYCL2020_DISABLE_DEPRECATION_WARNINGS
+
+#include <sycl/sycl.hpp>
+
+#include <atomic>
+#include <condition_variable>
+#include <future>
+#include <mutex>
+#include <thread>
+
+namespace S = sycl;
+
+template <typename T> class NameGen;
+
+struct Context {
+  std::atomic_bool Flag;
+  S::queue &Queue;
+  S::buffer<int, 1> Buf1;
+  S::buffer<int, 1> Buf2;
+  S::buffer<int, 1> Buf3;
+  std::mutex Mutex;
+  std::condition_variable CV;
+};
+
+S::event HostTask_CopyBuf1ToBuf2(Context *Ctx) {
+  S::event Event = Ctx->Queue.submit([&](S::handler &CGH) {
+    S::accessor<int, 1, S::access::mode::read, S::access::target::host_buffer>
+        CopierSrcAcc(Ctx->Buf1, CGH);
+    S::accessor<int, 1, S::access::mode::write, S::access::target::host_buffer>
+        CopierDstAcc(Ctx->Buf2, CGH);
+
+    auto CopierHostTask = [=] {
+      for (size_t Idx = 0; Idx < CopierDstAcc.size(); ++Idx)
+        CopierDstAcc[Idx] = CopierSrcAcc[Idx];
+
+      bool Expected = false;
+      bool Desired = true;
+      assert(Ctx->Flag.compare_exchange_strong(Expected, Desired));
+
+      {
+        std::lock_guard<std::mutex> Lock(Ctx->Mutex);
+        Ctx->CV.notify_all();
+      }
+    };
+
+    CGH.host_task(CopierHostTask);
+  });
+  return Event;
+}
+
+void Thread1Fn(Context *Ctx) {
+  // 0. initialize resulting buffer with apriori wrong result
+  {
+    S::accessor<int, 1, S::access::mode::write, S::access::target::host_buffer>
+        Acc(Ctx->Buf1);
+
+    for (size_t Idx = 0; Idx < Acc.size(); ++Idx)
+      Acc[Idx] = -1;
+  }
+
+  {
+    S::accessor<int, 1, S::access::mode::write, S::access::target::host_buffer>
+        Acc(Ctx->Buf2);
+
+    for (size_t Idx = 0; Idx < Acc.size(); ++Idx)
+      Acc[Idx] = -2;
+  }
+
+  {
+    S::accessor<int, 1, S::access::mode::write, S::access::target::host_buffer>
+        Acc(Ctx->Buf3);
+
+    for (size_t Idx = 0; Idx < Acc.size(); ++Idx)
+      Acc[Idx] = -3;
+  }
+
+  // 1. submit task writing to buffer 1
+  Ctx->Queue.submit([&](S::handler &CGH) {
+    S::accessor<int, 1, S::access::mode::write, S::access::target::device>
+        GeneratorAcc(Ctx->Buf1, CGH);
+
+    auto GeneratorKernel = [GeneratorAcc] {
+      for (size_t Idx = 0; Idx < GeneratorAcc.size(); ++Idx)
+        GeneratorAcc[Idx] = Idx;
+    };
+
+    CGH.single_task<NameGen<class Gen>>(GeneratorKernel);
+  });
+
+  // 2. submit host task writing from buf 1 to buf 2
+  S::event HostTaskEvent = HostTask_CopyBuf1ToBuf2(Ctx);
+
+  // 3. submit simple task to move data between two buffers
+  Ctx->Queue.submit([&](S::handler &CGH) {
+    S::accessor<int, 1, S::access::mode::read, S::access::target::device>
+        SrcAcc(Ctx->Buf2, CGH);
+    S::accessor<int, 1, S::access::mode::write, S::access::target::device>
+        DstAcc(Ctx->Buf3, CGH);
+
+    CGH.depends_on(HostTaskEvent);
+
+    auto CopierKernel = [SrcAcc, DstAcc] {
+      for (size_t Idx = 0; Idx < DstAcc.size(); ++Idx)
+        DstAcc[Idx] = SrcAcc[Idx];
+    };
+
+    CGH.single_task<NameGen<class Copier>>(CopierKernel);
+  });
+
+  // 4. check data in buffer #3
+  {
+    S::accessor<int, 1, S::access::mode::read, S::access::target::host_buffer>
+        Acc(Ctx->Buf3);
+
+    bool Failure = false;
+
+    for (size_t Idx = 0; Idx < Acc.size(); ++Idx) {
+      fprintf(stderr, "Third buffer [%3zu] = %i\n", Idx, Acc[Idx]);
+
+      Failure |= (Acc[Idx] != Idx);
+    }
+
+    assert(!Failure && "Invalid data in third buffer");
+  }
+}
+
+void Thread2Fn(Context *Ctx) {
+  std::unique_lock<std::mutex> Lock(Ctx->Mutex);
+
+  // T2.1. Wait until flag F is set eq true.
+  Ctx->CV.wait(Lock, [Ctx] { return Ctx->Flag.load(); });
+
+  assert(Ctx->Flag.load());
+}
+
+void test() {
+  auto EH = [](S::exception_list EL) {
+    for (const std::exception_ptr &E : EL) {
+      throw E;
+    }
+  };
+
+  S::queue Queue(EH);
+
+  Context Ctx{{false}, Queue, {10}, {10}, {10}, {}, {}};
+
+  // 0. setup: thread 1 T1: exec smth; thread 2 T2: waits; init flag F = false
+  auto A1 = std::async(std::launch::async, Thread1Fn, &Ctx);
+  auto A2 = std::async(std::launch::async, Thread2Fn, &Ctx);
+
+  A1.get();
+  A2.get();
+
+  assert(Ctx.Flag.load());
+
+  // 3. check via host accessor that buf 2 contains valid data
+  {
+    S::accessor<int, 1, S::access::mode::read, S::access::target::host_buffer>
+        ResultAcc(Ctx.Buf2);
+
+    bool Failure = false;
+    for (size_t Idx = 0; Idx < ResultAcc.size(); ++Idx) {
+      fprintf(stderr, "Second buffer [%3zu] = %i\n", Idx, ResultAcc[Idx]);
+
+      Failure |= (ResultAcc[Idx] != Idx);
+    }
+
+    assert(!Failure && "Invalid data in result buffer");
+  }
+}
+
+int main() {
+  test();
+
+  return 0;
+}
+
+// launch of Gen kernel
+// CHECK:---> piKernelCreate(
+// CHECK: NameGen
+// CHECK:---> piEnqueueKernelLaunch(
+// prepare for host task
+// CHECK:---> piEnqueueMemBuffer{{Map|Read}}(
+// launch of Copier kernel
+// CHECK:---> piKernelCreate(
+// CHECK: Copier
+// CHECK:---> piEnqueueKernelLaunch(
+
+// CHECK:Third buffer [  0] = 0
+// CHECK:Third buffer [  1] = 1
+// CHECK:Third buffer [  2] = 2
+// CHECK:Third buffer [  3] = 3
+// CHECK:Third buffer [  4] = 4
+// CHECK:Third buffer [  5] = 5
+// CHECK:Third buffer [  6] = 6
+// CHECK:Third buffer [  7] = 7
+// CHECK:Third buffer [  8] = 8
+// CHECK:Third buffer [  9] = 9
+// CHECK:Second buffer [  0] = 0
+// CHECK:Second buffer [  1] = 1
+// CHECK:Second buffer [  2] = 2
+// CHECK:Second buffer [  3] = 3
+// CHECK:Second buffer [  4] = 4
+// CHECK:Second buffer [  5] = 5
+// CHECK:Second buffer [  6] = 6
+// CHECK:Second buffer [  7] = 7
+// CHECK:Second buffer [  8] = 8
+// CHECK:Second buffer [  9] = 9
+
+// TODO need to check for piEventsWait as "wait on dependencies of host task".
+// At the same time this piEventsWait may occur anywhere after
+// piEnqueueMemBufferMap ("prepare for host task").
diff --git a/sycl/test-e2e/Basic/host_task_depends.cpp b/sycl/test-e2e/Basic/host_task_depends.cpp
new file mode 100644
index 0000000000000..ad0dccf47f5d8
--- /dev/null
+++ b/sycl/test-e2e/Basic/host_task_depends.cpp
@@ -0,0 +1,31 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+void test() {
+  queue Q;
+  std::shared_ptr<std::mutex> Mutex(new std::mutex());
+  Mutex->lock();
+  {
+    auto E = Q.submit([&](handler &CGH) {
+      CGH.host_task([=]() { std::lock_guard<std::mutex> Guard(*Mutex); });
+    });
+    // Host task should block kernel enqueue but not cause dead lock here
+    Q.submit([&](handler &CGH) {
+      CGH.depends_on(E);
+      CGH.single_task([=]() {});
+    });
+  }
+  // Unblock kernel execution
+  Mutex->unlock();
+  Q.wait();
+}
+
+int main() {
+  test();
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/image/image_accessor_range.cpp b/sycl/test-e2e/Basic/image/image_accessor_range.cpp
new file mode 100755
index 0000000000000..ec78f64339682
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_accessor_range.cpp
@@ -0,0 +1,121 @@
+// FIXME: Investigate OS-agnostic failures
+// REQUIRES: TEMPORARY_DISABLED
+
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// CUDA does not support SYCL 1.2.1 images.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/accessor.hpp>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+#define N 4   // dimensin
+#define M 128 // dimension
+#define C 4   // 4 channel
+#define L 2   // 2 images
+
+void try_1D(queue &Q) {
+  int X = -55;
+  buffer<int, 1> BX{&X, 1};
+  int *host_array = new int[M * C];
+  image im1(host_array, image_channel_order::rgba,
+            image_channel_type::unsigned_int8, range{M});
+
+  Q.submit([&](handler &h) {
+    accessor<int4, 1, access::mode::read, access::target::image> acs1(im1, h);
+    accessor ABX{BX, h};
+    auto R = acs1.get_range();
+    std::cout << "Host acs1.get_range()=" << R[0] << "\n";
+    assert(R[0] == M);
+    h.parallel_for(nd_range{range{M}, range{N}}, [=](nd_item<1> it) {
+      int idx = it.get_global_linear_id();
+      if (idx == 0) {
+        auto R = acs1.get_range();
+        ABX[0] = R[0];
+      }
+    });
+  });
+  {
+    host_accessor HABX{BX, read_only};
+    std::cout << "From Device acs1.get_range()=" << X << "\n";
+    assert(X == M);
+  }
+}
+
+void try_2D(queue &Q) {
+  range<2> X = {55, 66};
+  buffer<range<2>, 1> BX{&X, 1};
+  int *host_array = new int[M * N * C];
+  image im2(host_array, image_channel_order::rgba,
+            image_channel_type::unsigned_int8, range{M, N});
+
+  Q.submit([&](handler &h) {
+    accessor<int4, 2, access::mode::read, access::target::image> acs2(im2, h);
+    accessor ABX{BX, h};
+    auto R = acs2.get_range();
+    std::cout << "Host acs2.get_range()=" << R[0] << "," << R[1] << "\n";
+    assert(R[0] == M);
+    assert(R[1] == N);
+    h.parallel_for(nd_range{range{M, N}, range{N, N}}, [=](nd_item<2> it) {
+      int idx = it.get_global_linear_id();
+      if (idx == 0) {
+        ABX[0] = acs2.get_range();
+      }
+    });
+  });
+  {
+    host_accessor HABX{BX, read_only};
+    std::cout << "From Device acs2.get_range()=" << HABX[0][0] << ","
+              << HABX[0][1] << "\n";
+    assert(HABX[0][0] == M);
+    assert(HABX[0][1] == N);
+  }
+}
+
+void try_3D(queue &Q) {
+  range<3> X{55, 66, 77};
+  buffer<range<3>, 1> BX{&X, 1};
+  int *host_array3_2 = malloc_host<int>(N * M * C * L, Q);
+  image im3(host_array3_2, image_channel_order::rgba,
+            image_channel_type::unsigned_int8, range{M, N, L});
+
+  Q.submit([&](handler &h) {
+    accessor<int4, 2, access::mode::read, access::target::image_array> acs3(im3,
+                                                                            h);
+    accessor ABX{BX, h};
+    auto R = acs3.get_range();
+    std::cout << "Host acs3.get_range()=" << R[0] << "," << R[1] << "," << R[2]
+              << "\n";
+    assert(R[0] == M);
+    assert(R[1] == N);
+    assert(R[2] == L);
+    h.parallel_for(nd_range{range{M, N, L}, range{N, N, L}},
+                   [=](nd_item<3> it) {
+                     int idx = it.get_global_linear_id();
+                     if (idx == 0) {
+                       ABX[0] = acs3.get_range();
+                     }
+                   });
+  });
+  {
+    host_accessor HABX{BX, read_only};
+    std::cout << "From Device acs3.get_range()=" << HABX[0][0] << ","
+              << HABX[0][1] << "," << HABX[0][2] << "\n";
+    assert(HABX[0][0] == M);
+    assert(HABX[0][1] == N);
+    assert(HABX[0][2] == L);
+  }
+}
+
+int main() {
+  queue Q;
+
+  try_1D(Q);
+  try_2D(Q);
+  try_3D(Q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/image/image_accessor_readsampler.cpp b/sycl/test-e2e/Basic/image/image_accessor_readsampler.cpp
new file mode 100644
index 0000000000000..622b4079a0153
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_accessor_readsampler.cpp
@@ -0,0 +1,374 @@
+// UNSUPPORTED: cuda || hip || (windows && level_zero) || gpu-intel-pvc
+// unsupported on windows (level-zero) due to fail of Jenkins/pre-ci-windows
+// CUDA cannot support SYCL 1.2.1 images.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+//==-----------------image_accessor read API test with sampler--------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iomanip>
+#include <iostream>
+
+namespace s = sycl;
+
+template <int unique_number> class kernel_class;
+
+void validateReadData(s::cl_float4 ReadData, s::cl_float4 ExpectedColor,
+                      s::cl_int precision = 1) {
+  // Maximum difference of 1.5 ULP is allowed when precision = 1.
+  s::cl_int4 PixelDataInt = ReadData.template as<s::cl_int4>();
+  s::cl_int4 ExpectedDataInt = ExpectedColor.template as<s::cl_int4>();
+  s::cl_int4 Diff = ExpectedDataInt - PixelDataInt;
+  s::cl_int DataIsCorrect =
+      s::all((Diff <= precision) && (Diff >= (-precision)));
+#if DEBUG_OUTPUT
+  {
+    if (DataIsCorrect) {
+      std::cout << "Read Data is correct within precision: " << std::endl;
+    } else {
+      std::cout << "Read Data is WRONG/ outside precision: " << std::endl;
+    }
+    std::cout << "ReadData: " << std::endl;
+    (ReadData * 127).dump();
+    std::cout << "ExpectedColor: " << std::endl;
+    (ExpectedColor * 127).dump();
+    std::cout << "Diff: " << std::endl;
+    Diff.dump();
+  }
+#else
+  { assert(DataIsCorrect); }
+#endif
+}
+
+template <int i>
+void checkReadSampler(char *host_ptr, s::sampler Sampler, s::cl_float4 Coord,
+                      s::cl_float4 ExpectedColor, s::cl_int precision = 1) {
+
+  s::cl_float4 ReadData;
+  {
+    // image with dim = 3
+    s::image<3> Img(host_ptr, s::image_channel_order::rgba,
+                    s::image_channel_type::snorm_int8, s::range<3>{2, 3, 4});
+    s::queue myQueue;
+    s::buffer<s::cl_float4, 1> ReadDataBuf(&ReadData, s::range<1>(1));
+    myQueue.submit([&](s::handler &cgh) {
+      auto ReadAcc = Img.get_access<s::cl_float4, s::access::mode::read>(cgh);
+      s::accessor<s::cl_float4, 1, s::access::mode::write> ReadDataBufAcc(
+          ReadDataBuf, cgh);
+
+      cgh.single_task<class kernel_class<i>>([=]() {
+        s::cl_float4 RetColor = ReadAcc.read(Coord, Sampler);
+        ReadDataBufAcc[0] = RetColor;
+      });
+    });
+  }
+  validateReadData(ReadData, ExpectedColor, precision);
+}
+
+void checkSamplerNearest() {
+
+  // create image:
+  char host_ptr[100];
+  for (int i = 0; i < 100; i++)
+    host_ptr[i] = i;
+
+  // Calling only valid configurations.
+  // A. coordinate normalization mode::normalized
+  // addressing_mode::mirrored_repeat
+  {
+    // Out-of-range mirrored_repeat mode
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(56.0f, 57.0f, 58.0f, 59.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::normalized,
+                              s::addressing_mode::mirrored_repeat,
+                              s::filtering_mode::nearest);
+    checkReadSampler<1>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // addressing_mode::repeat
+  {
+    // Out-of-range repeat mode
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(56.0f, 57.0f, 58.0f, 59.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::repeat, s::filtering_mode::nearest);
+    checkReadSampler<2>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // addressing_mode::clamp_to_edge
+  {
+    // Out-of-range Edge Color
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(88.0f, 89.0f, 90.0f, 91.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::normalized,
+                              s::addressing_mode::clamp_to_edge,
+                              s::filtering_mode::nearest);
+    checkReadSampler<3>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // addressing_mode::clamp
+  {
+    // Out-of-range Border Color
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue = s::cl_float4(0.0f, 0.0f, 0.0f, 0.0f);
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::clamp, s::filtering_mode::nearest);
+    checkReadSampler<4>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // addressing_mode::none
+  {
+    // In-range for consistent return value.
+    s::cl_float4 Coord(0.0f, 0.5f, 0.75f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(80.0f, 81.0f, 82.0f, 83.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::none, s::filtering_mode::nearest);
+    checkReadSampler<5>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // B. coordinate_normalization_mode::unnormalized
+  // addressing_mode::clamp_to_edge
+  {
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(56.0f, 57.0f, 58.0f, 59.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::unnormalized,
+                              s::addressing_mode::clamp_to_edge,
+                              s::filtering_mode::nearest);
+    checkReadSampler<6>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // addressing_mode::clamp
+  {
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(56.0f, 57.0f, 58.0f, 59.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::unnormalized,
+                   s::addressing_mode::clamp, s::filtering_mode::nearest);
+    checkReadSampler<7>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+
+  // addressing_mode::none
+  {
+    // In-range for consistent return value.
+    s::cl_float4 Coord(0.0f, 1.0f, 2.0f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(56.0f, 57.0f, 58.0f, 59.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::unnormalized,
+                   s::addressing_mode::none, s::filtering_mode::nearest);
+    checkReadSampler<8>(host_ptr, Sampler, Coord, ExpectedValue);
+  }
+}
+
+// Precision requirement for linear filtering mode is not defined by OpenCL
+// specification. Based on observation, Host and CPU device produce values
+// within +-1 ULP. GPU return values have been found to be varying. For this
+// reason and to allow compatibility with all OpenCL device testing, a higher
+// value of precision (in ULP) is used for Linear Filter Mode. In this case a
+// value of 15000 ULP is used.
+void checkSamplerLinear() {
+
+  const s::cl_int PrecisionInULP = 15000;
+  // create image:
+  char host_ptr[100];
+  for (int i = 0; i < 100; i++)
+    host_ptr[i] = i;
+
+  // Calling only valid configurations.
+  // A. coordinate normalization mode::normalized
+  // addressing_mode::mirrored_repeat
+  {
+    // Out-of-range mirrored_repeat mode
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(44.0f, 45.0f, 46.0f, 47.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::normalized,
+                              s::addressing_mode::mirrored_repeat,
+                              s::filtering_mode::linear);
+    checkReadSampler<1>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+  {
+    // In-range mirrored_repeat mode
+    s::cl_float4 Coord(0.0f, 0.25f, 0.55f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(42.8f, 43.8f, 44.8f, 45.8f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::normalized,
+                              s::addressing_mode::mirrored_repeat,
+                              s::filtering_mode::linear);
+    checkReadSampler<1>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // addressing_mode::repeat
+  {
+    // Out-of-range repeat mode
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(46.0f, 47.0f, 48.0f, 49.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::repeat, s::filtering_mode::linear);
+    checkReadSampler<2>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+  {
+    // In-range repeat mode
+    s::cl_float4 Coord(0.0f, 0.25f, 0.55f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(44.8f, 45.8f, 46.8f, 47.8f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::repeat, s::filtering_mode::linear);
+    checkReadSampler<2>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // addressing_mode::clamp_to_edge
+  {
+    // Out-of-range Edge Color
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(88.0f, 89.0f, 90.0f, 91.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::normalized,
+                              s::addressing_mode::clamp_to_edge,
+                              s::filtering_mode::linear);
+    checkReadSampler<3>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+  {
+    s::cl_float4 Coord(0.0f, 0.2f, 0.5f, 0.0f); // In-range
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(36.8f, 37.8f, 38.8f, 39.8f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::normalized,
+                              s::addressing_mode::clamp_to_edge,
+                              s::filtering_mode::linear);
+    checkReadSampler<3>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // addressing_mode::clamp
+  {
+    // Out-of-range
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue = s::cl_float4(0.0f, 0.0f, 0.0f, 0.0f);
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::clamp, s::filtering_mode::linear);
+    checkReadSampler<4>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+  {
+    // In-range
+    s::cl_float4 Coord(0.0f, 0.2f, 0.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(18.4f, 18.9f, 19.4f, 19.9f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::clamp, s::filtering_mode::linear);
+    checkReadSampler<4>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // addressing_mode::none
+  {
+    // In-range for consistent return value.
+    s::cl_float4 Coord(0.5f, 0.5f, 0.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(46.0f, 47.0f, 48.0f, 49.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::normalized,
+                   s::addressing_mode::none, s::filtering_mode::linear);
+    checkReadSampler<5>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // B. coordinate_normalization_mode::unnormalized
+  // addressing_mode::clamp_to_edge
+  {
+    // Out-of-range
+    s::cl_float4 Coord(0.0f, 1.5f, 2.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(56.0f, 57.0f, 58.0f, 59.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::unnormalized,
+                              s::addressing_mode::clamp_to_edge,
+                              s::filtering_mode::linear);
+    checkReadSampler<6>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+  {
+    // In-range
+    s::cl_float4 Coord(0.0f, 0.2f, 0.5f, 0.0f);
+    s::cl_float4 ExpectedValue = s::cl_float4(0.0f, 1.0f, 2.0f, 3.0f) / 127.0f;
+    auto Sampler = s::sampler(s::coordinate_normalization_mode::unnormalized,
+                              s::addressing_mode::clamp_to_edge,
+                              s::filtering_mode::linear);
+    checkReadSampler<6>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // addressing_mode::clamp
+  {
+    // Out-of-range
+    s::cl_float4 Coord(0.0f, 1.5f, 1.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(16.0f, 16.5f, 17.0f, 17.5f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::unnormalized,
+                   s::addressing_mode::clamp, s::filtering_mode::linear);
+    checkReadSampler<7>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+  {
+    // In-range
+    s::cl_float4 Coord(0.0f, 0.2f, 0.5f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(0.0f, 0.35f, 0.7f, 1.05f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::unnormalized,
+                   s::addressing_mode::clamp, s::filtering_mode::linear);
+    checkReadSampler<7>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+
+  // addressing_mode::none
+  {
+    // In-range for consistent return value.
+    s::cl_float4 Coord(1.0f, 2.0f, 3.0f, 0.0f);
+    s::cl_float4 ExpectedValue =
+        s::cl_float4(74.0f, 75.0f, 76.0f, 77.0f) / 127.0f;
+    auto Sampler =
+        s::sampler(s::coordinate_normalization_mode::unnormalized,
+                   s::addressing_mode::none, s::filtering_mode::linear);
+    checkReadSampler<8>(host_ptr, Sampler, Coord, ExpectedValue,
+                        PrecisionInULP);
+  }
+}
+
+int main() {
+
+  // Note: Currently these functions only check for cl_float4 return datatype,
+  // the test case can be extended to test all return datatypes.
+  checkSamplerNearest();
+  checkSamplerLinear();
+}
diff --git a/sycl/test-e2e/Basic/image/image_accessor_readwrite.cpp b/sycl/test-e2e/Basic/image/image_accessor_readwrite.cpp
new file mode 100644
index 0000000000000..085d2d58242b1
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_accessor_readwrite.cpp
@@ -0,0 +1,282 @@
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// CUDA cannot support SYCL 1.2.1 images.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--------------------image_accessor_readwrite.cpp ----------------------==//
+//==----------image_accessor read without sampler & write API test---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iomanip>
+#include <sycl/sycl.hpp>
+#if DEBUG_OUTPUT
+#include <iostream>
+#endif
+
+namespace s = sycl;
+
+template <typename WriteDataT, int ImgType, int read_write> class kernel_class;
+
+template <typename ReadDataT,
+          typename = typename std::enable_if<
+              (!(std::is_same<ReadDataT, s::cl_float4>::value) &&
+               !(std::is_same<ReadDataT, s::cl_half4>::value))>::type>
+void check_read_data(ReadDataT ReadData, ReadDataT ExpectedColor) {
+  using ReadDataType = typename s::detail::TryToGetElementType<ReadDataT>::type;
+  bool CorrectData = false;
+  if ((ReadData.x() == ExpectedColor.x()) &&
+      (ReadData.y() == ExpectedColor.y()) &&
+      (ReadData.z() == ExpectedColor.z()) &&
+      (ReadData.w() == ExpectedColor.w()))
+    CorrectData = true;
+
+#if DEBUG_OUTPUT
+  if (CorrectData)
+    std::cout << "Read Data is correct: " << std::endl;
+  else
+    std::cout << "Read Data is WRONG: " << std::endl;
+
+  std::cout << "ReadData: \t"
+            << std::setprecision(std::numeric_limits<long double>::digits10 + 1)
+            << ReadData.x() << "  " << ReadData.y() << "  " << ReadData.z()
+            << "  " << ReadData.w() << std::endl;
+
+  std::cout << "ExpectedColor: \t"
+            << std::setprecision(std::numeric_limits<long double>::digits10 + 1)
+            << ExpectedColor.x() << "  " << ExpectedColor.y() << "  "
+            << ExpectedColor.z() << "  " << ExpectedColor.w() << std::endl;
+#else
+  assert(CorrectData);
+#endif
+}
+
+void check_read_data(s::cl_float4 ReadData, s::cl_float4 ExpectedColor) {
+  // Maximum difference of 1.5 ULP is allowed.
+  s::cl_int4 PixelDataInt = ReadData.template as<s::cl_int4>();
+  s::cl_int4 ExpectedDataInt = ExpectedColor.template as<s::cl_int4>();
+  s::cl_int4 Diff = ExpectedDataInt - PixelDataInt;
+  bool CorrectData = false;
+  if ((Diff.x() <= 1 && Diff.x() >= -1) && (Diff.y() <= 1 && Diff.y() >= -1) &&
+      (Diff.z() <= 1 && Diff.z() >= -1) && (Diff.w() <= 1 && Diff.w() >= -1))
+    CorrectData = true;
+
+#if DEBUG_OUTPUT
+  if (CorrectData)
+    std::cout << "Read Data is correct within precision: " << std::endl;
+  else
+    std::cout << "Read Data is WRONG/ outside precision: " << std::endl;
+
+  std::cout << "ReadData: \t"
+            << std::setprecision(std::numeric_limits<long double>::digits10 + 1)
+            << ReadData.x() << "  " << ReadData.y() << "  " << ReadData.z()
+            << "  " << ReadData.w() << std::endl;
+
+  std::cout << "ExpectedColor: \t"
+            << std::setprecision(std::numeric_limits<long double>::digits10 + 1)
+            << ExpectedColor.x() << "  " << ExpectedColor.y() << "  "
+            << ExpectedColor.z() << "  " << ExpectedColor.w() << std::endl;
+#else
+  assert(CorrectData);
+#endif
+}
+
+void check_read_data(s::cl_half4 ReadData, s::cl_half4 ExpectedColor) {
+  // Maximum difference of 1.5 ULP is allowed.
+  s::cl_float4 ReadDatafloat = ReadData.template convert<float>();
+  s::cl_float4 ExpectedColorfloat = ExpectedColor.template convert<float>();
+  check_read_data(ReadDatafloat, ExpectedColorfloat);
+}
+
+template <typename WriteDataT, s::image_channel_type ImgType>
+void write_type_order(char *HostPtr, const s::image_channel_order ImgOrder,
+                      WriteDataT Color) {
+
+  int Coord(2);
+  {
+    // image with dim = 1;
+    s::image<1> Img(HostPtr, ImgOrder, ImgType, s::range<1>{10});
+    s::queue Queue;
+    Queue.submit([&](s::handler &cgh) {
+      auto WriteAcc = Img.get_access<WriteDataT, s::access::mode::write>(cgh);
+      cgh.single_task<
+          class kernel_class<WriteDataT, static_cast<int>(ImgType), 0>>(
+          [=]() { WriteAcc.write(Coord, Color); });
+    });
+  }
+}
+
+template <typename ReadDataT, s::image_channel_type ImgType>
+void check_read_type_order(char *HostPtr, const s::image_channel_order ImgOrder,
+                           ReadDataT ExpectedColor) {
+
+  int Coord(2);
+  ReadDataT ReadData;
+  {
+    // image with dim = 1
+    s::image<1> Img(HostPtr, ImgOrder, ImgType, s::range<1>{10});
+    s::queue Queue;
+    s::buffer<ReadDataT, 1> ReadDataBuf(&ReadData, s::range<1>(1));
+    Queue.submit([&](s::handler &cgh) {
+      auto ReadAcc = Img.get_access<ReadDataT, s::access::mode::read>(cgh);
+      s::accessor<ReadDataT, 1, s::access::mode::write> ReadDataBufAcc(
+          ReadDataBuf, cgh);
+
+      cgh.single_task<
+          class kernel_class<ReadDataT, static_cast<int>(ImgType), 1>>([=]() {
+        ReadDataT RetColor = ReadAcc.read(Coord);
+        ReadDataBufAcc[0] = RetColor;
+      });
+    });
+  }
+  check_read_data(ReadData, ExpectedColor);
+}
+
+template <typename T> void check(char *);
+
+template <> void check<s::cl_int4>(char *HostPtr) {
+  // valid channel types:
+  // s::image_channel_type::signed_int8,
+  write_type_order<s::cl_int4, s::image_channel_type::signed_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_int4(std::numeric_limits<s::cl_int>::max(),
+                 std::numeric_limits<s::cl_int>::min(), 123, 0));
+  check_read_type_order<s::cl_int4, s::image_channel_type::signed_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_int4(std::numeric_limits<s::cl_char>::max(),
+                 std::numeric_limits<s::cl_char>::min(), 123, 0));
+
+  // s::image_channel_type::signed_int16,
+  write_type_order<s::cl_int4, s::image_channel_type::signed_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_int4(std::numeric_limits<s::cl_int>::max(),
+                 std::numeric_limits<s::cl_int>::min(), 123, 0));
+  check_read_type_order<s::cl_int4, s::image_channel_type::signed_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_int4(std::numeric_limits<s::cl_short>::max(),
+                 std::numeric_limits<s::cl_short>::min(), 123, 0));
+
+  // s::image_channel_type::signed_int32.
+  write_type_order<s::cl_int4, s::image_channel_type::signed_int32>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_int4(std::numeric_limits<s::cl_int>::max(),
+                 std::numeric_limits<s::cl_int>::min(), 123, 0));
+  check_read_type_order<s::cl_int4, s::image_channel_type::signed_int32>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_int4(std::numeric_limits<s::cl_int>::max(),
+                 std::numeric_limits<s::cl_int>::min(), 123, 0));
+};
+
+template <> void check<s::cl_uint4>(char *HostPtr) {
+  // Calling only valid channel types with s::cl_uint4.
+  // s::image_channel_type::signed_int8
+  write_type_order<s::cl_uint4, s::image_channel_type::unsigned_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_uint4(std::numeric_limits<s::cl_uint>::max(),
+                  std::numeric_limits<s::cl_uint>::min(), 123, 0));
+  check_read_type_order<s::cl_uint4, s::image_channel_type::unsigned_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_uint4(std::numeric_limits<s::cl_uchar>::max(),
+                  std::numeric_limits<s::cl_uchar>::min(), 123, 0));
+
+  // s::image_channel_type::signed_int16
+  write_type_order<s::cl_uint4, s::image_channel_type::unsigned_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_uint4(std::numeric_limits<s::cl_uint>::max(),
+                  std::numeric_limits<s::cl_uint>::min(), 123, 0));
+  check_read_type_order<s::cl_uint4, s::image_channel_type::unsigned_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_uint4(std::numeric_limits<s::cl_ushort>::max(),
+                  std::numeric_limits<s::cl_ushort>::min(), 123, 0));
+
+  // s::image_channel_type::signed_int32
+  write_type_order<s::cl_uint4, s::image_channel_type::unsigned_int32>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_uint4(std::numeric_limits<s::cl_uint>::max(),
+                  std::numeric_limits<s::cl_uint>::min(), 123, 0));
+  check_read_type_order<s::cl_uint4, s::image_channel_type::unsigned_int32>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_uint4(std::numeric_limits<s::cl_uint>::max(),
+                  std::numeric_limits<s::cl_uint>::min(), 123, 0));
+};
+
+template <> void check<s::cl_float4>(char *HostPtr) {
+  // Calling only valid channel types with s::cl_float4.
+  // TODO: Correct the values below.
+  // s::image_channel_type::snorm_int8,
+  write_type_order<s::cl_float4, s::image_channel_type::snorm_int8>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_float4, s::image_channel_type::snorm_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_float4(1, -1, ((float)48 / 127) /*0.3779527544975280762f*/, 0));
+
+  // s::image_channel_type::snorm_int16,
+  write_type_order<s::cl_float4, s::image_channel_type::snorm_int16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_float4, s::image_channel_type::snorm_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_float4(1, -1, ((float)12288 / 32767) /*0.375011444091796875f*/, 0));
+
+  // s::image_channel_type::unorm_int8,
+  write_type_order<s::cl_float4, s::image_channel_type::unorm_int8>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_float4, s::image_channel_type::unorm_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_float4(1, 0, ((float)96 / 255) /*0.3764705955982208252f*/, 0));
+
+  // s::image_channel_type::unorm_int16
+  write_type_order<s::cl_float4, s::image_channel_type::unorm_int16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_float4, s::image_channel_type::unorm_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_float4(1, 0, ((float)24576 / 65535) /*0.3750057220458984375f*/, 0));
+
+  // s::image_channel_type::unorm_short_565, order::rgbx
+  // Currently unsupported since OpenCL has no information on this.
+
+  // TODO: Enable the below call, causing a runtime error in OpenCL CPU/GPU:
+  // OpenCL API returns: -10 (CL_IMAGE_FORMAT_NOT_SUPPORTED) -10
+  // (CL_IMAGE_FORMAT_NOT_SUPPORTED) s::image_channel_type::unorm_short_555,
+  // order::rgbx
+  /*
+  write_type_order<s::cl_float4, s::image_channel_type::unorm_short_555>(
+      HostPtr, s::image_channel_order::rgbx, s::cl_float4(2, -2, 0.375f, 0));
+
+  // s::image_channel_type::unorm_int_101010, order::rgbx
+  write_type_order<s::cl_float4, s::image_channel_type::unorm_int_101010>(
+      HostPtr, s::image_channel_order::rgbx, s::cl_float4(2, -2, 0.375f, 0));
+  */
+
+  // s::image_channel_type::fp16
+  write_type_order<s::cl_float4, s::image_channel_type::fp16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_float4, s::image_channel_type::fp16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+
+  // s::image_channel_type::fp32
+  write_type_order<s::cl_float4, s::image_channel_type::fp32>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_float4, s::image_channel_type::fp32>(
+      HostPtr, s::image_channel_order::rgba, s::cl_float4(2, -2, 0.375f, 0));
+};
+
+int main() {
+  // Checking only for dimension=1.
+  // 4 datatypes possible: s::cl_uint4, s::cl_int4, s::cl_float4, s::cl_half4.
+  // half4 datatype is checked in a different test case.
+  // create image:
+  char HostPtr[100];
+  for (int i = 0; i < 100; i++)
+    HostPtr[i] = i;
+
+  check<s::cl_int4>(HostPtr);
+  check<s::cl_uint4>(HostPtr);
+  check<s::cl_float4>(HostPtr);
+}
diff --git a/sycl/test-e2e/Basic/image/image_accessor_readwrite_half.cpp b/sycl/test-e2e/Basic/image/image_accessor_readwrite_half.cpp
new file mode 100644
index 0000000000000..9deec2ccb1f5d
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_accessor_readwrite_half.cpp
@@ -0,0 +1,163 @@
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// CUDA cannot support SYCL 1.2.1 images.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==------------------ image_accessor_readwrite_half.cpp -------------------==//
+//=-image_accessor read (without sampler)& write API test for half datatype-==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iomanip>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+
+template <typename WriteDataT, int ImgType, int read_write> class kernel_class;
+
+void check_read_data(s::cl_float4 ReadData, s::cl_float4 ExpectedColor) {
+  // Maximum difference of 1.5 ULP is allowed.
+  s::cl_int4 PixelDataInt = ReadData.template as<s::cl_int4>();
+  s::cl_int4 ExpectedDataInt = ExpectedColor.template as<s::cl_int4>();
+  s::cl_int4 Diff = ExpectedDataInt - PixelDataInt;
+  bool CorrectData = false;
+  if (((s::cl_int)Diff.x() <= 1 && (s::cl_int)Diff.x() >= -1) &&
+      ((s::cl_int)Diff.y() <= 1 && (s::cl_int)Diff.y() >= -1) &&
+      ((s::cl_int)Diff.z() <= 1 && (s::cl_int)Diff.z() >= -1) &&
+      ((s::cl_int)Diff.w() <= 1 && (s::cl_int)Diff.w() >= -1))
+    CorrectData = true;
+
+#if DEBUG_OUTPUT
+  if (CorrectData)
+    std::cout << "Read Data is correct within precision: " << std::endl;
+  else
+    std::cout << "Read Data is WRONG/ outside precision: " << std::endl;
+
+  std::cout << "ReadData: \t"
+            << std::setprecision(std::numeric_limits<long double>::digits10 + 1)
+            << ReadData.x() << "  " << ReadData.y() << "  " << ReadData.z()
+            << "  " << ReadData.w() << std::endl;
+
+  std::cout << "ExpectedColor: \t"
+            << std::setprecision(std::numeric_limits<long double>::digits10 + 1)
+            << ExpectedColor.x() << "  " << ExpectedColor.y() << "  "
+            << ExpectedColor.z() << "  " << ExpectedColor.w() << std::endl;
+
+#else
+  assert(CorrectData);
+#endif
+}
+
+void check_read_data(s::cl_half4 ReadData, s::cl_half4 ExpectedColor) {
+  s::cl_float4 ReadDatafloat = ReadData.convert<float>();
+  s::cl_float4 ExpectedColorfloat = ExpectedColor.convert<float>();
+  check_read_data(ReadDatafloat, ExpectedColorfloat);
+}
+
+template <typename WriteDataT, s::image_channel_type ImgType>
+void write_type_order(char *HostPtr, const s::image_channel_order ImgOrder,
+                      WriteDataT Color) {
+
+  int Coord(2);
+  {
+    // image with dim = 1;
+    s::image<1> Img(HostPtr, ImgOrder, ImgType, s::range<1>{10});
+    s::queue Queue;
+    Queue.submit([&](s::handler &cgh) {
+      auto WriteAcc = Img.get_access<WriteDataT, s::access::mode::write>(cgh);
+      cgh.single_task<
+          class kernel_class<WriteDataT, static_cast<int>(ImgType), 0>>(
+          [=]() { WriteAcc.write(Coord, Color); });
+    });
+  }
+}
+
+template <typename ReadDataT, s::image_channel_type ImgType>
+void check_read_type_order(char *HostPtr, const s::image_channel_order ImgOrder,
+                           ReadDataT ExpectedColor) {
+
+  int Coord(2);
+  ReadDataT ReadData;
+  {
+    // image with dim = 1
+    s::image<1> Img(HostPtr, ImgOrder, ImgType, s::range<1>{10});
+    s::queue Queue;
+    s::buffer<ReadDataT, 1> ReadDataBuf(&ReadData, s::range<1>(1));
+    Queue.submit([&](s::handler &cgh) {
+      auto ReadAcc = Img.get_access<ReadDataT, s::access::mode::read>(cgh);
+      s::accessor<ReadDataT, 1, s::access::mode::write> ReadDataBufAcc(
+          ReadDataBuf, cgh);
+
+      cgh.single_task<
+          class kernel_class<ReadDataT, static_cast<int>(ImgType), 1>>([=]() {
+        ReadDataT RetColor = ReadAcc.read(Coord);
+        ReadDataBufAcc[0] = RetColor;
+      });
+    });
+  }
+  check_read_data(ReadData, ExpectedColor);
+}
+
+void check_half4(char *HostPtr) {
+
+  // Calling only valid channel types with s::cl_half4.
+  // s::image_channel_type::snorm_int8,
+  write_type_order<s::cl_half4, s::image_channel_type::snorm_int8>(
+      HostPtr, s::image_channel_order::rgba, s::cl_half4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_half4, s::image_channel_type::snorm_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_half4(1, -1, ((float)48 / 127) /*0.3779527544975280762f*/, 0));
+
+  // s::image_channel_type::snorm_int16,
+  write_type_order<s::cl_half4, s::image_channel_type::snorm_int16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_half4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_half4, s::image_channel_type::snorm_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_half4(1, -1, ((float)12288 / 32767) /*0.375011444091796875f*/, 0));
+
+  // s::image_channel_type::unorm_int8,
+  write_type_order<s::cl_half4, s::image_channel_type::unorm_int8>(
+      HostPtr, s::image_channel_order::rgba, s::cl_half4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_half4, s::image_channel_type::unorm_int8>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_half4(1, 0, ((float)96 / 255) /*0.3764705955982208252f*/, 0));
+
+  // s::image_channel_type::unorm_int16
+  write_type_order<s::cl_half4, s::image_channel_type::unorm_int16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_half4(1, -1, 0.375f, 0));
+  check_read_type_order<s::cl_half4, s::image_channel_type::unorm_int16>(
+      HostPtr, s::image_channel_order::rgba,
+      s::cl_half4(1, 0, ((float)24576 / 65535) /*0.3750057220458984375f*/, 0));
+
+  // s::image_channel_type::fp16
+  write_type_order<s::cl_half4, s::image_channel_type::fp16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_half4(2, -2, 0.375f, 0));
+  check_read_type_order<s::cl_half4, s::image_channel_type::fp16>(
+      HostPtr, s::image_channel_order::rgba, s::cl_half4(2, -2, 0.375f, 0));
+};
+
+int main() {
+  // Checking if default selected device supports half datatype.
+  // Same device will be selected in the write/read functions.
+  s::device Dev{s::default_selector_v};
+  if (!Dev.has(sycl::aspect::fp16)) {
+    std::cout << "This device doesn't support the extension cl_khr_fp16"
+              << std::endl;
+    return 0;
+  }
+  // Checking only for dimension=1.
+  // create image:
+  char HostPtr[100];
+  for (int i = 0; i < 100; i++)
+    HostPtr[i] = i;
+
+  check_half4(HostPtr);
+}
diff --git a/sycl/test-e2e/Basic/image/image_array.cpp b/sycl/test-e2e/Basic/image/image_array.cpp
new file mode 100644
index 0000000000000..9494705e141a1
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_array.cpp
@@ -0,0 +1,155 @@
+// UNSUPPORTED: hip
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+
+//==------------------- image.cpp - SYCL image basic test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <vector>
+
+#include "../../helpers.hpp"
+
+int main() {
+  const sycl::image_channel_order ChanOrder = sycl::image_channel_order::rgba;
+  const sycl::image_channel_type ChanType = sycl::image_channel_type::fp32;
+
+  const sycl::range<2> ImgSize(4, 4);
+
+  std::vector<sycl::float4> Img1HostData(ImgSize.size(), {1, 2, 3, 4});
+
+  enum ResType {
+    READ_I = 0,
+    READ_SAMPLER_F = 0,
+    READ_SAMPLER_I = 0,
+    GET_RANGE,
+    GET_COUNT,
+    WRITE1,
+    WRITE2,
+    ENUM_SIZE
+  };
+
+  constexpr int ResBufSize = ENUM_SIZE;
+  std::vector<int> ResBufData(ResBufSize, 0);
+
+  {
+    sycl::image<2> Img(Img1HostData.data(), ChanOrder, ChanType, ImgSize);
+
+    sycl::buffer<int, 1> ResBuf(ResBufData.data(), {ResBufSize});
+
+    TestQueue Q{sycl::default_selector_v};
+
+    constexpr auto SYCLRead = sycl::access::mode::read;
+    constexpr auto SYCLWrite = sycl::access::mode::write;
+    constexpr auto SYCLReadWrite = sycl::access::mode::read_write;
+
+    Q.submit([&](sycl::handler &CGH) {
+      auto ImgAcc = Img.get_access<sycl::float4, SYCLRead>(CGH);
+      sycl::accessor<sycl::float4, /*Dims=*/1, SYCLRead,
+                     sycl::access::target::image_array>
+          ImgArrayAcc(Img, CGH);
+
+      sycl::sampler Sampler(sycl::coordinate_normalization_mode::unnormalized,
+                            sycl::addressing_mode::clamp,
+                            sycl::filtering_mode::nearest);
+
+      auto ResAcc = ResBuf.get_access<SYCLReadWrite>(CGH);
+
+      CGH.parallel_for<class Check1>(ImgSize, [=](sycl::item<2> Item) {
+        sycl::int2 CoordI{Item[0], Item[1]};
+        sycl::float2 CoordF{(Item[0] / (float)ImgSize[0]),
+                            (Item[1] / (float)ImgSize[1])};
+
+        // Check that pixels read using image accessor and image_array
+        // accessor are the same.
+        {
+          auto ValRef = ImgAcc.read(sycl::int2{Item[0], Item[1]});
+          auto Val = ImgArrayAcc[Item[1]].read((int)Item[0]);
+
+          ResAcc[READ_I] |= sycl::any(sycl::isnotequal(Val, ValRef));
+        }
+
+        {
+          auto ValRef = ImgAcc.read(CoordI, Sampler);
+          auto Val = ImgArrayAcc[CoordI.y()].read((int)CoordI.x(), Sampler);
+
+          ResAcc[READ_SAMPLER_I] |= sycl::any(sycl::isnotequal(Val, ValRef));
+        }
+
+        {
+          auto ValRef = ImgAcc.read(CoordF, Sampler);
+          auto Val = ImgArrayAcc[CoordI.y()].read((float)CoordF.x(), Sampler);
+
+          ResAcc[READ_SAMPLER_F] |= sycl::any(sycl::isnotequal(Val, ValRef));
+        }
+
+        // Check that the range and count of 1D image in 1D image array == width
+        // of 2d image.
+
+        ResAcc[GET_RANGE] |= sycl::range<1>(ImgAcc.get_range()[0]) !=
+                             ImgArrayAcc[CoordI.y()].get_range();
+
+        ResAcc[GET_COUNT] |= (ImgAcc.get_count() / ImgSize[1]) !=
+                             ImgArrayAcc[CoordI.y()].get_count();
+      });
+    });
+
+    Q.submit([&](sycl::handler &CGH) {
+      auto ImgAcc = Img.get_access<sycl::float4, SYCLRead>(CGH);
+      sycl::accessor<sycl::float4, /*Dims=*/1, SYCLWrite,
+                     sycl::access::target::image_array>
+          ImgArrayAcc(Img, CGH);
+
+      auto ResAcc = ResBuf.get_access<SYCLReadWrite>(CGH);
+
+      CGH.parallel_for<class Check2>(ImgSize, [=](sycl::item<2> Item) {
+        sycl::int2 CoordI{Item[0], Item[1]};
+
+        // CHeck that data written using image array
+        const sycl::float4 ValRef{CoordI.x(), 42, 42, CoordI.y()};
+        ImgArrayAcc[CoordI.y()].write((int)CoordI.x(), ValRef);
+        auto Val = ImgAcc.read(CoordI);
+
+        ResAcc[WRITE1] |= sycl::any(sycl::isnotequal(Val, ValRef));
+      });
+    });
+
+    Q.submit([&](sycl::handler &CGH) {
+      auto ImgAcc = Img.get_access<sycl::float4, SYCLWrite>(CGH);
+      sycl::accessor<sycl::float4, /*Dims=*/1, SYCLRead,
+                     sycl::access::target::image_array>
+          ImgArrayAcc(Img, CGH);
+
+      auto ResAcc = ResBuf.get_access<SYCLReadWrite>(CGH);
+
+      CGH.parallel_for<class Check3>(ImgSize, [=](sycl::item<2> Item) {
+        sycl::int2 CoordI{Item[0], Item[1]};
+
+        // CHeck that data read using image array
+        const sycl::float4 ValRef{CoordI.x(), 42, 42, CoordI.y()};
+        ImgAcc.write(CoordI, ValRef);
+        auto Val = ImgArrayAcc[CoordI.y()].read((int)CoordI.x());
+
+        ResAcc[WRITE2] |= sycl::any(sycl::isnotequal(Val, ValRef));
+      });
+    });
+  }
+
+  for (const auto &Elem : ResBufData)
+    if (Elem) {
+      std::cout << "Failed" << std::endl;
+      return 1;
+    }
+
+  std::cout << "Success" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/image/image_constructors.cpp b/sycl/test-e2e/Basic/image/image_constructors.cpp
new file mode 100644
index 0000000000000..d2dcc53726df7
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_constructors.cpp
@@ -0,0 +1,395 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t2.out
+// RUN: %CPU_RUN_PLACEHOLDER %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+// RUN: %ACC_RUN_PLACEHOLDER %t2.out
+//
+//==-------image_constructors.cpp - SYCL image constructors basic test------==//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Tests the constructors, get_count and get_range APIs.
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+void no_delete(void *) {}
+
+template <int Dims>
+void test_constructors(sycl::range<Dims> r, void *imageHostPtr) {
+
+  sycl::image_channel_order channelOrder = sycl::image_channel_order::rgbx;
+  sycl::image_channel_type channelType =
+      sycl::image_channel_type::unorm_short_565;
+  unsigned int elementSize = 2; // 2 bytes
+  int numElems = r.size();
+  sycl::property_list propList{}; // empty property list
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image<Dims> img =
+        sycl::image<Dims>(imageHostPtr, channelOrder, channelType, r);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&, const property_list&)
+   */
+  {
+    sycl::image<Dims> img =
+        sycl::image<Dims>(imageHostPtr, channelOrder, channelType, r, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&, allocator,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(imageHostPtr, channelOrder, channelType, r, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&, allocator,
+   *              const property_list&)
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img = sycl::image<Dims>(
+        imageHostPtr, channelOrder, channelType, r, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+  /* Constructor (const void*, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const property_list& = {})
+   */
+  {
+    const auto constHostPtr = imageHostPtr;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(constHostPtr, channelOrder, channelType, r);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (const void*, image_channel_order,
+   *              image_channel_type, const range<Dims>&, const property_list&)
+   */
+  {
+    const auto constHostPtr = imageHostPtr;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(constHostPtr, channelOrder, channelType, r, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (const void*, image_channel_order,
+   *              image_channel_type, const range<Dims>&, allocator,
+   *              const property_list& = {})
+   */
+  {
+    const auto constHostPtr = imageHostPtr;
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(constHostPtr, channelOrder, channelType, r, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (const void*, image_channel_order,
+   *              image_channel_type, const range<Dims>&, allocator,
+   *              const property_list&)
+   */
+  {
+    const auto constHostPtr = imageHostPtr;
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img = sycl::image<Dims>(
+        constHostPtr, channelOrder, channelType, r, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const property_list& = {})
+   */
+  {
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img =
+        sycl::image<Dims>(hostPointer, channelOrder, channelType, r);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&, const property_list&)
+   */
+  {
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img =
+        sycl::image<Dims>(hostPointer, channelOrder, channelType, r, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&, allocator,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img =
+        sycl::image<Dims>(hostPointer, channelOrder, channelType, r, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&, allocator,
+   *              const property_list&)
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img = sycl::image<Dims>(
+        hostPointer, channelOrder, channelType, r, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, const property_list& = {})
+   */
+  {
+    sycl::image<Dims> img = sycl::image<Dims>(channelOrder, channelType, r);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, const property_list&)
+   */
+  {
+    sycl::image<Dims> img =
+        sycl::image<Dims>(channelOrder, channelType, r, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, allocator, const property_list& = {})
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(channelOrder, channelType, r, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, allocator, const property_list&)
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(channelOrder, channelType, r, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+}
+
+template <int Dims>
+void test_constructors_with_pitch(sycl::range<Dims> r,
+                                  sycl::range<Dims - 1> pitch,
+                                  void *imageHostPtr) {
+
+  sycl::image_channel_order channelOrder = sycl::image_channel_order::rgbx;
+  sycl::image_channel_type channelType =
+      sycl::image_channel_type::unorm_short_565;
+  unsigned int elementSize = 2; // 2 bytes for short_565
+  int numElems = r.size();
+  sycl::property_list propList{}; // empty property list
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, const property_list& = {})
+   */
+  {
+    sycl::image<Dims> img =
+        sycl::image<Dims>(imageHostPtr, channelOrder, channelType, r, pitch);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, const property_list&)
+   */
+  {
+    sycl::image<Dims> img = sycl::image<Dims>(imageHostPtr, channelOrder,
+                                              channelType, r, pitch, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, allocator,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img = sycl::image<Dims>(imageHostPtr, channelOrder,
+                                              channelType, r, pitch, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (void *, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, allocator, const property_list&)
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img = sycl::image<Dims>(
+        imageHostPtr, channelOrder, channelType, r, pitch, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, const property_list& = {})
+   */
+  {
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img =
+        sycl::image<Dims>(hostPointer, channelOrder, channelType, r, pitch);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, const property_list&)
+   */
+  {
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img = sycl::image<Dims>(hostPointer, channelOrder,
+                                              channelType, r, pitch, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, allocator,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img = sycl::image<Dims>(hostPointer, channelOrder,
+                                              channelType, r, pitch, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (std::shared_ptr<void>&, image_channel_order,
+   *              image_channel_type, const range<Dims>&,
+   *              const range<Dims - 1>&, allocator, const property_list&)
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    auto hostPointer = std::shared_ptr<void>(imageHostPtr, &no_delete);
+    sycl::image<Dims> img = sycl::image<Dims>(
+        hostPointer, channelOrder, channelType, r, pitch, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, const range<Dims - 1>&,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image<Dims> img =
+        sycl::image<Dims>(channelOrder, channelType, r, pitch);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, const range<Dims - 1>&,
+   *              const property_list&)
+   */
+  {
+    sycl::image<Dims> img =
+        sycl::image<Dims>(channelOrder, channelType, r, pitch, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, const range<Dims - 1>&, allocator,
+   *              const property_list& = {})
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img =
+        sycl::image<Dims>(channelOrder, channelType, r, pitch, imgAlloc);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+
+  /* Constructor (image_channel_order, image_channel_type,
+   *              const range<Dims>&, const range<Dims - 1>&, allocator,
+   *              const property_list&)
+   */
+  {
+    sycl::image_allocator imgAlloc;
+    sycl::image<Dims> img = sycl::image<Dims>(channelOrder, channelType, r,
+                                              pitch, imgAlloc, propList);
+    assert(img.get_count() == numElems);
+    assert(img.get_range() == r);
+  }
+}
+
+int main() {
+
+  int imageHostPtr[48]; // 3*2*4*(2 bytes per element) = 48
+  for (int i = 0; i < 48; i++)
+    imageHostPtr[i] = i; // Maximum number of elements.
+
+  // Ranges
+  sycl::range<1> r1(3);
+  sycl::range<2> r2(3, 2);
+  sycl::range<3> r3(3, 2, 4);
+
+  // Pitches
+  sycl::range<1> pitch2(6);     // range is 3; elementSize = 2.
+  sycl::range<2> pitch3(6, 12); // range is 3,2; elementSize = 2.
+
+  // Constructors without Pitch
+  test_constructors<1>(r1, imageHostPtr);
+  test_constructors<2>(r2, imageHostPtr);
+  test_constructors<3>(r3, imageHostPtr);
+
+  // Constructors with Pitch
+  test_constructors_with_pitch<2>(r2, pitch2, imageHostPtr);
+  test_constructors_with_pitch<3>(r3, pitch3, imageHostPtr);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/image/image_max_size.cpp b/sycl/test-e2e/Basic/image/image_max_size.cpp
new file mode 100644
index 0000000000000..efff893bcb088
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_max_size.cpp
@@ -0,0 +1,142 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: cuda || hip || (windows && opencl && gpu) || gpu-intel-pvc
+// CUDA does not support info::device::image3d_max_width query.
+// TODO: Irregular runtime fails on Windows/opencl:gpu require analysis.
+
+// The test checks that 'image' with max allowed sizes is handled correctly.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+void init(uint32_t *A, uint32_t *B, size_t NumI32Elts) {
+  for (int I = 0; I < NumI32Elts; I++) {
+    A[I] = I;
+    B[I] = 0;
+  }
+}
+
+int check(uint32_t *B, size_t NumI32Elts) {
+  for (int I = 0; I < NumI32Elts; I++) {
+    if (B[I] != I) {
+      std::cout << "Failed" << std::endl;
+      std::cerr << "Error for the index: " << I << ", computed: " << B[I]
+                << std::endl;
+      return 1;
+    }
+  }
+  std::cout << "Passed" << std::endl;
+  return 0;
+}
+
+int test2D(queue &Q, size_t XSize, size_t YSize) {
+  std::cout << "Starting the test with size = {" << XSize << ", " << YSize
+            << "} ... ";
+  size_t NumI32Elts = XSize * YSize * 4;
+  uint32_t *A = (uint32_t *)malloc(NumI32Elts * sizeof(uint32_t));
+  uint32_t *B = (uint32_t *)malloc(NumI32Elts * sizeof(uint32_t));
+  init(A, B, NumI32Elts);
+
+  try {
+    image<2> ImgA(A, image_channel_order::rgba,
+                  image_channel_type::unsigned_int32, range<2>{XSize, YSize});
+    image<2> ImgB(B, image_channel_order::rgba,
+                  image_channel_type::unsigned_int32, range<2>{XSize, YSize});
+
+    Q.submit([&](handler &CGH) {
+       auto AAcc = ImgA.get_access<uint4, access::mode::read>(CGH);
+       auto BAcc = ImgB.get_access<uint4, access::mode::write>(CGH);
+       CGH.parallel_for<class I2D>(range<2>{XSize, YSize}, [=](id<2> Id) {
+         sycl::int2 Coord(Id[0], Id[1]);
+         BAcc.write(Coord, AAcc.read(Coord));
+       });
+     }).wait();
+  } catch (exception const &e) {
+    std::cout << "Failed" << std::endl;
+    std::cerr << "SYCL Exception caught: " << e.what();
+    return 1;
+  }
+
+  int NumErrors = check(B, NumI32Elts);
+  free(A);
+  free(B);
+  return NumErrors;
+}
+
+int test3D(queue &Q, size_t XSize, size_t YSize, size_t ZSize) {
+  std::cout << "Starting the test with size = {" << XSize << ", " << YSize
+            << ", " << ZSize << "} ... ";
+  size_t NumI32Elts = XSize * YSize * ZSize * 4;
+  uint32_t *A = (uint32_t *)malloc(NumI32Elts * sizeof(uint32_t));
+  uint32_t *B = (uint32_t *)malloc(NumI32Elts * sizeof(uint32_t));
+  init(A, B, NumI32Elts);
+
+  try {
+    image<3> ImgA(A, image_channel_order::rgba,
+                  image_channel_type::unsigned_int32,
+                  range<3>{XSize, YSize, ZSize});
+    image<3> ImgB(B, image_channel_order::rgba,
+                  image_channel_type::unsigned_int32,
+                  range<3>{XSize, YSize, ZSize});
+
+    Q.submit([&](handler &CGH) {
+       auto AAcc = ImgA.get_access<uint4, access::mode::read>(CGH);
+       auto BAcc = ImgB.get_access<uint4, access::mode::write>(CGH);
+       CGH.parallel_for<class I3D>(range<3>{XSize, YSize, ZSize},
+                                   [=](id<3> Id) {
+                                     sycl::int4 Coord(Id[0], Id[1], Id[2], 0);
+                                     BAcc.write(Coord, AAcc.read(Coord));
+                                   });
+     }).wait();
+  } catch (exception const &e) {
+    std::cout << "Failed" << std::endl;
+    std::cerr << "SYCL Exception caught: " << e.what();
+    return 1;
+  }
+
+  int NumErrors = check(B, NumI32Elts);
+  free(A);
+  free(B);
+  return NumErrors;
+}
+
+int main() {
+  int NumErrors = 0;
+
+  queue Q;
+  device Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>()
+            << ", Driver: " << Dev.get_info<info::device::driver_version>()
+            << std::endl;
+
+  size_t MaxWidth2D = Dev.get_info<info::device::image2d_max_width>();
+  size_t MaxHeight2D = Dev.get_info<info::device::image2d_max_height>();
+  std::cout << "2d: Max image width: " << MaxWidth2D << std::endl;
+  std::cout << "2d: Max image height: " << MaxHeight2D << std::endl;
+
+  size_t MaxWidth3D = Dev.get_info<info::device::image3d_max_width>();
+  size_t MaxHeight3D = Dev.get_info<info::device::image3d_max_height>();
+  size_t MaxDepth3D = Dev.get_info<info::device::image3d_max_depth>();
+  std::cout << "3d: Max image width: " << MaxWidth3D << std::endl;
+  std::cout << "3d: Max image height: " << MaxHeight3D << std::endl;
+  std::cout << "3d: Max image depth: " << MaxDepth3D << std::endl;
+
+  // Using max sizes in one image may require too much memory.
+  // Check them one by one.
+  NumErrors += test2D(Q, MaxWidth2D, 2);
+  NumErrors += test2D(Q, 2, MaxHeight2D);
+
+  NumErrors += test3D(Q, MaxWidth3D, 2, 3);
+  NumErrors += test3D(Q, 2, MaxHeight3D, 3);
+  NumErrors += test3D(Q, 2, 3, MaxDepth3D);
+
+  if (NumErrors)
+    std::cerr << "Test failed." << std::endl;
+  else
+    std::cout << "Test passed." << std::endl;
+
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Basic/image/image_read.cpp b/sycl/test-e2e/Basic/image/image_read.cpp
new file mode 100644
index 0000000000000..f14c833bf32cd
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_read.cpp
@@ -0,0 +1,27 @@
+// UNSUPPORTED: hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "image_read.h"
+
+int main() {
+
+  s::queue myQueue(s::default_selector_v);
+
+  bool passed = true;
+
+  // Float image
+  if (!test<s::float4, s::image_channel_type::fp32>(myQueue))
+    passed = false;
+
+  // 32-bit signed integer image
+  if (!test<s::int4, s::image_channel_type::signed_int32>(myQueue))
+    passed = false;
+
+  // 32-bit unsigned integer image
+  if (!test<s::uint4, s::image_channel_type::unsigned_int32>(myQueue))
+    passed = false;
+
+  return passed ? 0 : -1;
+}
diff --git a/sycl/test-e2e/Basic/image/image_read.h b/sycl/test-e2e/Basic/image/image_read.h
new file mode 100644
index 0000000000000..7c538ba4bf2f5
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_read.h
@@ -0,0 +1,233 @@
+/**
+ * Tests clamp_to_edge addressing mode with nearest and linear filtering modes
+ * on a 4x4 image.
+ *
+ * Expected addressing mode and filtering results are given by the algorithm in
+ * the OpenCL 1.2 specification, Section 8. Image Addressing and Filtering
+ *
+ * https://www.khronos.org/registry/OpenCL/specs/opencl-1.2.pdf#page=329
+ */
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+template <typename T> class test_1d_class;
+template <typename T> class test_2d_class;
+template <typename T> class test_3d_class;
+
+namespace s = sycl;
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test1d_coord(s::queue myQueue, dataT *hostPtr, coordT coord,
+                  dataT expectedColour) {
+  dataT resultData;
+
+  { // Scope everything to force destruction
+    s::image<1> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<1>{3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    // Do the test by reading a single pixel from the image
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_1d_class<dataT>>([=]() {
+        dataT RetColor = imageAcc.read(coord);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+#ifdef DEBUG_OUTPUT
+  std::cout << "Expected: " << expectedColour.r() << ", " << expectedColour.g()
+            << ", " << expectedColour.b() << ", " << expectedColour.a() << "\n";
+  std::cout << "Got:      " << resultData.r() << ", " << resultData.g() << ", "
+            << resultData.b() << ", " << resultData.a() << "\n";
+#endif // DEBUG_OUTPUT
+  bool correct = true;
+  if (resultData.r() != expectedColour.r())
+    correct = false;
+  if (resultData.g() != expectedColour.g())
+    correct = false;
+  if (resultData.b() != expectedColour.b())
+    correct = false;
+  if (resultData.a() != expectedColour.a())
+    correct = false;
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test2d_coord(s::queue myQueue, dataT *hostPtr, coordT coord,
+                  dataT expectedColour) {
+  dataT resultData;
+
+  { // Scope everything to force destruction
+    s::image<2> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<2>{3, 3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    // Do the test by reading a single pixel from the image
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_2d_class<dataT>>([=]() {
+        dataT RetColor = imageAcc.read(coord);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+
+#ifdef DEBUG_OUTPUT
+  std::cout << "Got:      " << resultData.r() << ", " << resultData.g();
+#endif // DEBUG_OUTPUT
+
+  bool correct = true;
+  if (resultData.r() != expectedColour.r())
+    correct = false;
+  if (resultData.g() != expectedColour.g())
+    correct = false;
+  if (resultData.b() != expectedColour.b())
+    correct = false;
+  if (resultData.a() != expectedColour.a())
+    correct = false;
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test3d_coord(s::queue myQueue, dataT *hostPtr, coordT coord,
+                  dataT expectedColour) {
+  dataT resultData;
+
+  { // Scope everything to force destruction
+    s::image<3> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<3>{3, 3, 3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    // Do the test by reading a single pixel from the image
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_3d_class<dataT>>([=]() {
+        dataT RetColor = imageAcc.read(coord);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+#ifdef DEBUG_OUTPUT
+  std::cout << "Expected: " << expectedColour.r() << ", " << expectedColour.g()
+            << ", " << expectedColour.b() << ", " << expectedColour.a() << "\n";
+  std::cout << "Got:      " << resultData.r() << ", " << resultData.g() << ", "
+            << resultData.b() << ", " << resultData.a() << "\n";
+#endif // DEBUG_OUTPUT
+  bool correct = true;
+  if (resultData.r() != expectedColour.r())
+    correct = false;
+  if (resultData.g() != expectedColour.g())
+    correct = false;
+  if (resultData.b() != expectedColour.b())
+    correct = false;
+  if (resultData.a() != expectedColour.a())
+    correct = false;
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test1d(s::queue myQueue, coordT coord, dataT expectedResult) {
+  dataT hostPtr[3];
+  for (int i = 0; i < 3; i++)
+    hostPtr[i] = dataT(0 + i, 20 + i, 40 + i, 60 + i);
+
+  return test1d_coord<dataT, coordT, channelType>(myQueue, hostPtr, coord,
+                                                  expectedResult);
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test2d(s::queue myQueue, coordT coord, dataT expectedResult) {
+  dataT hostPtr[9];
+  for (int i = 0; i < 9; i++)
+    hostPtr[i] = dataT(0 + i, 20 + i, 40 + i, 60 + i);
+
+  return test2d_coord<dataT, coordT, channelType>(myQueue, hostPtr, coord,
+                                                  expectedResult);
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test3d(s::queue myQueue, coordT coord, dataT expectedResult) {
+  dataT hostPtr[27];
+  for (int i = 0; i < 27; i++)
+    hostPtr[i] = dataT(0 + i, 20 + i, 40 + i, 60 + i);
+
+  return test3d_coord<dataT, coordT, channelType>(myQueue, hostPtr, coord,
+                                                  expectedResult);
+}
+
+template <typename dataT, s::image_channel_type channelType>
+bool test(s::queue myQueue) {
+  bool passed = true;
+  // 1d image tests
+  if (!test1d<dataT, int, channelType>(myQueue, 0, dataT(0, 20, 40, 60)))
+    passed = false;
+
+  if (!test1d<dataT, int, channelType>(myQueue, 1, dataT(1, 21, 41, 61)))
+    passed = false;
+
+  if (!test1d<dataT, int, channelType>(myQueue, 2, dataT(2, 22, 42, 62)))
+    passed = false;
+
+  // 2d image tests
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(0, 0),
+                                           dataT(0, 20, 40, 60)))
+    passed = false;
+
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(1, 0),
+                                           dataT(1, 21, 41, 61)))
+    passed = false;
+
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(0, 1),
+                                           dataT(3, 23, 43, 63)))
+    passed = false;
+
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(1, 1),
+                                           dataT(4, 24, 44, 64)))
+    passed = false;
+
+  // 3d image tests
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(0, 0, 0, 0),
+                                           dataT(0, 20, 40, 60)))
+    passed = false;
+
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 0, 0, 0),
+                                           dataT(1, 21, 41, 61)))
+    passed = false;
+
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(0, 1, 0, 0),
+                                           dataT(3, 23, 43, 63)))
+    passed = false;
+
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 1, 0, 0),
+                                           dataT(4, 24, 44, 64)))
+    passed = false;
+
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 0, 1, 0),
+                                           dataT(10, 30, 50, 70)))
+    passed = false;
+
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(0, 1, 1, 0),
+                                           dataT(12, 32, 52, 72)))
+    passed = false;
+
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 1, 1, 0),
+                                           dataT(13, 33, 53, 73)))
+    passed = false;
+
+  return passed;
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/Basic/image/image_read_fp16.cpp b/sycl/test-e2e/Basic/image/image_read_fp16.cpp
new file mode 100644
index 0000000000000..9e8b258a3ad13
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_read_fp16.cpp
@@ -0,0 +1,20 @@
+// UNSUPPORTED: hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "image_read.h"
+
+int main() {
+  s::queue myQueue(s::default_selector_v);
+
+  // Device doesn't support cl_khr_fp16 extension - skip.
+  if (!myQueue.get_device().has(sycl::aspect::fp16))
+    return 0;
+
+  // Half image
+  if (!test<s::half4, s::image_channel_type::fp16>(myQueue))
+    return -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/image/image_sample.cpp b/sycl/test-e2e/Basic/image/image_sample.cpp
new file mode 100644
index 0000000000000..2d1171eb3fe18
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_sample.cpp
@@ -0,0 +1,240 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// Temporarily disable test on Windows due to regressions in GPU driver.
+// UNSUPPORTED: hip, windows, gpu-intel-pvc
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class test_1d_class;
+class test_2d_class;
+class test_3d_class;
+
+namespace s = sycl;
+
+template <typename dataT>
+bool check_result(dataT resultData, dataT expectedData, float epsilon = 0.1) {
+  bool correct = true;
+  if (std::abs(resultData.r() - expectedData.r()) > epsilon)
+    correct = false;
+  if (std::abs(resultData.g() - expectedData.g()) > epsilon)
+    correct = false;
+  if (std::abs(resultData.b() - expectedData.b()) > epsilon)
+    correct = false;
+  if (std::abs(resultData.a() - expectedData.a()) > epsilon)
+    correct = false;
+#ifdef DEBUG_OUTPUT
+  if (!correct) {
+    std::cout << "Expected: " << expectedData.r() << ", " << expectedData.g()
+              << ", " << expectedData.b() << ", " << expectedData.a() << "\n";
+    std::cout << "Got:      " << resultData.r() << ", " << resultData.g()
+              << ", " << resultData.b() << ", " << resultData.a() << "\n";
+  }
+#endif // DEBUG_OUTPUT
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test1d_coord(dataT *hostPtr, coordT coord, dataT expectedColour) {
+  dataT resultData;
+
+  s::sampler testSampler(s::coordinate_normalization_mode::unnormalized,
+                         s::addressing_mode::clamp, s::filtering_mode::linear);
+
+  { // Scope everything to force destruction
+    s::image<1> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<1>{3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    // Do the test by reading a single pixel from the image
+    s::queue myQueue(s::default_selector_v);
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_1d_class>([=]() {
+        dataT RetColor = imageAcc.read(coord, testSampler);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+  bool correct = check_result(resultData, expectedColour);
+#ifdef DEBUG_OUTPUT
+  if (!correct) {
+    std::cout << "Coord: " << coord << "\n";
+  }
+#endif // DEBUG_OUTPUT
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test2d_coord(dataT *hostPtr, coordT coord, dataT expectedColour) {
+  dataT resultData;
+
+  s::sampler testSampler(s::coordinate_normalization_mode::unnormalized,
+                         s::addressing_mode::clamp, s::filtering_mode::linear);
+
+  { // Scope everything to force destruction
+    s::image<2> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<2>{3, 3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    // Do the test by reading a single pixel from the image
+    s::queue myQueue(s::default_selector_v);
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_2d_class>([=]() {
+        dataT RetColor = imageAcc.read(coord, testSampler);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+  bool correct = check_result(resultData, expectedColour);
+#ifdef DEBUG_OUTPUT
+  if (!correct) {
+    std::cout << "Coord: " << coord.x() << ", " << coord.y() << "\n";
+  }
+#endif // DEBUG_OUTPUT
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test3d_coord(dataT *hostPtr, coordT coord, dataT expectedColour) {
+  dataT resultData;
+
+  s::sampler testSampler(s::coordinate_normalization_mode::unnormalized,
+                         s::addressing_mode::clamp, s::filtering_mode::linear);
+
+  { // Scope everything to force destruction
+    s::image<3> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<3>{3, 3, 3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    // Do the test by reading a single pixel from the image
+    s::queue myQueue(s::default_selector_v);
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_3d_class>([=]() {
+        dataT RetColor = imageAcc.read(coord, testSampler);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+  bool correct = check_result(resultData, expectedColour);
+#ifdef DEBUG_OUTPUT
+  if (!correct) {
+    std::cout << "Coord: " << coord.x() << ", " << coord.y() << ", "
+              << coord.z() << "\n";
+  }
+#endif // DEBUG_OUTPUT
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test1d(coordT coord, dataT expectedResult) {
+  dataT hostPtr[3];
+  for (int i = 0; i < 3; i++)
+    hostPtr[i] = dataT(0 + i, 20 + i, 40 + i, 60 + i);
+  return test1d_coord<dataT, coordT, channelType>(hostPtr, coord,
+                                                  expectedResult);
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test2d(coordT coord, dataT expectedResult) {
+  dataT hostPtr[9];
+  for (int i = 0; i < 9; i++)
+    hostPtr[i] = dataT(0 + i, 20 + i, 40 + i, 60 + i);
+  return test2d_coord<dataT, coordT, channelType>(hostPtr, coord,
+                                                  expectedResult);
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test3d(coordT coord, dataT expectedResult) {
+  dataT hostPtr[27];
+  for (int i = 0; i < 27; i++)
+    hostPtr[i] = dataT(0 + i, 20 + i, 40 + i, 60 + i);
+  return test3d_coord<dataT, coordT, channelType>(hostPtr, coord,
+                                                  expectedResult);
+}
+
+int main() {
+
+  bool passed = true;
+
+  // 1d image read tests
+  if (!test1d<s::float4, float, s::image_channel_type::fp32>(
+          0.0f, s::float4(0, 10, 20, 30)))
+    passed = false;
+  if (!test1d<s::float4, float, s::image_channel_type::fp32>(
+          0.5f, s::float4(0, 20, 40, 60)))
+    passed = false;
+  if (!test1d<s::float4, float, s::image_channel_type::fp32>(
+          0.9f, s::float4(0.4, 20.4, 40.4, 60.4)))
+    passed = false;
+
+  // 2d image read tests
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.0f, 0.0f), s::float4(0, 5, 10, 15)))
+    passed = false;
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.5f, 0.0f), s::float4(0, 10, 20, 30)))
+    passed = false;
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.0f, 0.5f), s::float4(0, 10, 20, 30)))
+    passed = false;
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.5f, 0.5f), s::float4(0, 20, 40, 60)))
+    passed = false;
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.9f, 0.0f), s::float4(0.2, 10.2, 20.2, 30.2)))
+    passed = false;
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.0f, 0.9f), s::float4(0.6, 10.6, 20.6, 30.6)))
+    passed = false;
+  if (!test2d<s::float4, s::float2, s::image_channel_type::fp32>(
+          s::float2(0.9f, 0.9f), s::float4(1.6, 21.6, 41.6, 61.6)))
+    passed = false;
+
+  // 3d image read tests
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.0f, 0.0f, 0.0f, 0.0f), s::float4(0, 2.5, 5, 7.5)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.5f, 0.0f, 0.0f, 0.0f), s::float4(0, 5, 10, 15)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.0f, 0.5f, 0.0f, 0.0f), s::float4(0, 5, 10, 15)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.0f, 0.0f, 0.5f, 0.0f), s::float4(0, 5, 10, 15)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.5f, 0.5f, 0.5f, 0.0f), s::float4(0, 20, 40, 60)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.9f, 0.0f, 0.0f, 0.0f), s::float4(0.1, 5.1, 10.1, 15.1)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.0f, 0.9f, 0.0f, 0.0f), s::float4(0.3, 5.3, 10.3, 15.3)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.0f, 0.0f, 0.9f, 0.0f), s::float4(0.9, 5.9, 10.9, 15.9)))
+    passed = false;
+  if (!test3d<s::float4, s::float4, s::image_channel_type::fp32>(
+          s::float4(0.9f, 0.9f, 0.9f, 0.0f), s::float4(5.2, 25.2, 45.2, 65.2)))
+    passed = false;
+
+  return passed ? 0 : -1;
+}
diff --git a/sycl/test-e2e/Basic/image/image_write.cpp b/sycl/test-e2e/Basic/image/image_write.cpp
new file mode 100644
index 0000000000000..8b451fb3af94e
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_write.cpp
@@ -0,0 +1,31 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// TODO: re-enable on cuda device.
+// See https://github.com/intel/llvm/issues/1542#issuecomment-707877817 for more
+// details.
+
+#include "image_write.h"
+
+int main() {
+
+  s::queue myQueue(s::default_selector_v);
+
+  bool passed = true;
+
+  // Float image
+  if (!test<s::float4, s::image_channel_type::fp32>(myQueue))
+    passed = false;
+
+  // 32-bit signed integer image
+  if (!test<s::int4, s::image_channel_type::signed_int32>(myQueue))
+    passed = false;
+
+  // 32-bit unsigned integer image
+  if (!test<s::uint4, s::image_channel_type::unsigned_int32>(myQueue))
+    passed = false;
+
+  return passed ? 0 : -1;
+}
diff --git a/sycl/test-e2e/Basic/image/image_write.h b/sycl/test-e2e/Basic/image/image_write.h
new file mode 100644
index 0000000000000..6a87a63925e92
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_write.h
@@ -0,0 +1,237 @@
+/**
+ * Tests clamp_to_edge addressing mode with nearest and linear filtering modes
+ * on a 4x4 image.
+ *
+ * Expected addressing mode and filtering results are given by the algorithm in
+ * the OpenCL 1.2 specification, Section 8. Image Addressing and Filtering
+ *
+ * https://www.khronos.org/registry/OpenCL/specs/opencl-1.2.pdf#page=329
+ */
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+template <typename T> class test_1d_write_class;
+template <typename T> class test_1d_read_class;
+template <typename T> class test_2d_write_class;
+template <typename T> class test_2d_read_class;
+template <typename T> class test_3d_write_class;
+template <typename T> class test_3d_read_class;
+
+namespace s = sycl;
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test1d_coord(s::queue myQueue, dataT *hostPtr, coordT coord,
+                  dataT colour) {
+  dataT resultData;
+
+  { // Scope everything to force destruction
+    s::image<1> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<1>{3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::write>(cgh);
+      cgh.single_task<test_1d_write_class<dataT>>(
+          [=]() { imageAcc.write(coord, colour); });
+    });
+
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_1d_read_class<dataT>>([=]() {
+        dataT RetColor = imageAcc.read(coord);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+#ifdef DEBUG_OUTPUT
+  std::cout << "Expected: " << colour.r() << ", " << colour.g() << ", "
+            << colour.b() << ", " << colour.a() << "\n";
+  std::cout << "Got:      " << resultData.r() << ", " << resultData.g() << ", "
+            << resultData.b() << ", " << resultData.a() << "\n";
+#endif // DEBUG_OUTPUT
+  bool correct = true;
+  if (resultData.r() != colour.r())
+    correct = false;
+  if (resultData.g() != colour.g())
+    correct = false;
+  if (resultData.b() != colour.b())
+    correct = false;
+  if (resultData.a() != colour.a())
+    correct = false;
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test2d_coord(s::queue myQueue, dataT *hostPtr, coordT coord,
+                  dataT colour) {
+  dataT resultData;
+
+  { // Scope everything to force destruction
+    s::image<2> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<2>{3, 3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::write>(cgh);
+
+      cgh.single_task<test_2d_write_class<dataT>>(
+          [=]() { imageAcc.write(coord, colour); });
+    });
+
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_2d_read_class<dataT>>([=]() {
+        dataT RetColor = imageAcc.read(coord);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+#ifdef DEBUG_OUTPUT
+  std::cout << "Expected: " << colour.r() << ", " << colour.g() << ", "
+            << colour.b() << ", " << colour.a() << "\n";
+  std::cout << "Got:      " << resultData.r() << ", " << resultData.g() << ", "
+            << resultData.b() << ", " << resultData.a() << "\n";
+#endif // DEBUG_OUTPUT
+  bool correct = true;
+  if (resultData.r() != colour.r())
+    correct = false;
+  if (resultData.g() != colour.g())
+    correct = false;
+  if (resultData.b() != colour.b())
+    correct = false;
+  if (resultData.a() != colour.a())
+    correct = false;
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test3d_coord(s::queue myQueue, dataT *hostPtr, coordT coord,
+                  dataT colour) {
+  dataT resultData;
+
+  { // Scope everything to force destruction
+    s::image<3> image(hostPtr, s::image_channel_order::rgba, channelType,
+                      s::range<3>{3, 3, 3});
+
+    s::buffer<dataT, 1> resultDataBuf(&resultData, s::range<1>(1));
+
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::write>(cgh);
+      cgh.single_task<test_3d_write_class<dataT>>(
+          [=]() { imageAcc.write(coord, colour); });
+    });
+
+    myQueue.submit([&](s::handler &cgh) {
+      auto imageAcc = image.get_access<dataT, s::access::mode::read>(cgh);
+      s::accessor<dataT, 1, s::access::mode::write> resultDataAcc(resultDataBuf,
+                                                                  cgh);
+
+      cgh.single_task<test_3d_read_class<dataT>>([=]() {
+        dataT RetColor = imageAcc.read(coord);
+        resultDataAcc[0] = RetColor;
+      });
+    });
+  }
+#ifdef DEBUG_OUTPUT
+  std::cout << "Expected: " << colour.r() << ", " << colour.g() << ", "
+            << colour.b() << ", " << colour.a() << "\n";
+  std::cout << "Got:      " << resultData.r() << ", " << resultData.g() << ", "
+            << resultData.b() << ", " << resultData.a() << "\n";
+#endif // DEBUG_OUTPUT
+  bool correct = true;
+  if (resultData.r() != colour.r())
+    correct = false;
+  if (resultData.g() != colour.g())
+    correct = false;
+  if (resultData.b() != colour.b())
+    correct = false;
+  if (resultData.a() != colour.a())
+    correct = false;
+  return correct;
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test1d(s::queue myQueue, coordT coord, dataT colour) {
+  dataT hostPtr[3];
+  memset(&hostPtr, 0, sizeof(dataT) * 3);
+  return test1d_coord<dataT, coordT, channelType>(myQueue, hostPtr, coord,
+                                                  colour);
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test2d(s::queue myQueue, coordT coord, dataT colour) {
+  dataT hostPtr[9];
+  memset(&hostPtr, 0, sizeof(dataT) * 9);
+  return test2d_coord<dataT, coordT, channelType>(myQueue, hostPtr, coord,
+                                                  colour);
+}
+
+template <typename dataT, typename coordT, s::image_channel_type channelType>
+bool test3d(s::queue myQueue, coordT coord, dataT colour) {
+  dataT hostPtr[27];
+  memset(&hostPtr, 0, sizeof(dataT) * 27);
+  return test3d_coord<dataT, coordT, channelType>(myQueue, hostPtr, coord,
+                                                  colour);
+}
+
+template <typename dataT, s::image_channel_type channelType>
+bool test(s::queue myQueue) {
+  bool passed = true;
+
+  // 1d image tests
+  if (!test1d<dataT, int, channelType>(myQueue, 0, dataT(0, 20, 40, 60)))
+    passed = false;
+  if (!test1d<dataT, int, channelType>(myQueue, 1, dataT(1, 21, 41, 61)))
+    passed = false;
+  if (!test1d<dataT, int, channelType>(myQueue, 2, dataT(2, 22, 42, 62)))
+    passed = false;
+
+  // 2d image tests
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(0, 0),
+                                           dataT(0, 20, 40, 60)))
+    passed = false;
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(1, 0),
+                                           dataT(1, 21, 41, 61)))
+    passed = false;
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(0, 1),
+                                           dataT(3, 23, 43, 63)))
+    passed = false;
+  if (!test2d<dataT, s::int2, channelType>(myQueue, s::int2(1, 1),
+                                           dataT(4, 24, 44, 64)))
+    passed = false;
+
+  // 3d image tests
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(0, 0, 0, 0),
+                                           dataT(0, 20, 40, 60)))
+    passed = false;
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 0, 0, 0),
+                                           dataT(1, 21, 41, 61)))
+    passed = false;
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(0, 1, 0, 0),
+                                           dataT(3, 23, 43, 63)))
+    passed = false;
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 1, 0, 0),
+                                           dataT(4, 24, 44, 64)))
+    passed = false;
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 0, 1, 0),
+                                           dataT(10, 30, 50, 70)))
+    passed = false;
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(0, 1, 1, 0),
+                                           dataT(12, 32, 52, 72)))
+    passed = false;
+  if (!test3d<dataT, s::int4, channelType>(myQueue, s::int4(1, 1, 1, 0),
+                                           dataT(13, 33, 53, 73)))
+    passed = false;
+
+  return passed;
+}
diff --git a/sycl/test-e2e/Basic/image/image_write_fp16.cpp b/sycl/test-e2e/Basic/image/image_write_fp16.cpp
new file mode 100644
index 0000000000000..c9ca4b0febb36
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/image_write_fp16.cpp
@@ -0,0 +1,20 @@
+// UNSUPPORTED: hip || cuda || gpu-intel-pvc
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "image_write.h"
+
+int main() {
+  s::queue myQueue(s::default_selector_v);
+
+  // Device doesn't support cl_khr_fp16 extension - skip.
+  if (!myQueue.get_device().has(sycl::aspect::fp16))
+    return 0;
+
+  // Half image
+  if (!test<s::half4, s::image_channel_type::fp16>(myQueue))
+    return -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/image/srgba-read.cpp b/sycl/test-e2e/Basic/image/srgba-read.cpp
new file mode 100644
index 0000000000000..ea89c9c099255
--- /dev/null
+++ b/sycl/test-e2e/Basic/image/srgba-read.cpp
@@ -0,0 +1,136 @@
+// RUN: %clangxx -fsycl  -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+
+// XFAIL: level_zero
+// UNSUPPORTED: cuda
+// UNSUPPORTED: hip
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using accessorPixelT = sycl::float4;
+using dataPixelT = uint32_t;
+
+// will output a pixel as {r,g,b,a}.  provide override if a different pixelT is
+// defined.
+void outputPixel(sycl::float4 somePixel) {
+  std::cout << "{" << somePixel[0] << "," << somePixel[1] << "," << somePixel[2]
+            << "," << somePixel[3] << "} ";
+}
+
+constexpr long width = 4;
+constexpr long height = 3;
+
+void test_rd(image_channel_order ChanOrder, image_channel_type ChanType) {
+
+  int numTests = 4; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // this should yield a read of approximate 0.5 for each channel
+  // when read directly with a normal non-linearized image (e.g.
+  // image_channel_order::rgba). For sRGB
+  // (image_channel_order::ext_oneapi_srgba), this is the value with maximum
+  // conversion. So we should read values of approximately 0.2
+  dataPixelT basicPixel{127 << 24 | 127 << 16 | 127 << 8 | 127};
+
+  queue Q;
+  const sycl::range<2> ImgRange_2D(width, height);
+
+  // IMPORTANT: const data is *required* for sRGBA images.
+  // OpenCL support is limited for 2D/3D images that are read only.
+  const std::vector<dataPixelT> ImgData(ImgRange_2D.size(), basicPixel);
+  try { // closure
+
+    image<2> image_2D(ImgData.data(), ChanOrder, ChanType, ImgRange_2D);
+    // use a buffer to report back test results.
+    buffer<accessorPixelT, 1> testResults((range<1>(numTests)));
+
+    Q.submit([&](handler &cgh) {
+      auto image_acc =
+          image_2D.get_access<accessorPixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im2D_rw>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // verify our four pixels were set up correctly.
+        // 0-3 read four pixels. no sampler
+        test_acc[i++] = image_acc.read(sycl::int2{0, 0});
+        test_acc[i++] = image_acc.read(sycl::int2{1, 0});
+        test_acc[i++] = image_acc.read(sycl::int2{0, 1});
+        test_acc[i++] = image_acc.read(sycl::int2{2, 2});
+      });
+    });
+    Q.wait_and_throw();
+
+    // REPORT RESULTS
+    auto test_acc = testResults.get_access<access::mode::read>();
+    for (int i = 0, idx = 0; i < numTests; i++, idx++) {
+      if (i == 0) {
+        idx = 0;
+        std::cout << "read four pixels, no sampler" << std::endl;
+      }
+
+      accessorPixelT testPixel = test_acc[i];
+      std::cout << i << /* " -- " << idx << */ ": ";
+      outputPixel(testPixel);
+      std::cout << std::endl;
+    }
+  } catch (sycl::exception e) {
+    std::cout << "exception caught: " << e.what() << std::endl;
+  } // ~image / ~buffer
+}
+
+int main() {
+
+#ifdef SYCL_EXT_ONEAPI_SRGB
+  std::cout << "SYCL_EXT_ONEAPI_SRGB defined" << std::endl;
+#endif
+
+  queue Q;
+  device D = Q.get_device();
+
+  // test aspect
+  if (D.has(aspect::ext_oneapi_srgb))
+    std::cout << "aspect::ext_oneapi_srgb detected" << std::endl;
+
+  if (D.has(aspect::image)) {
+    // RGBA -- (normal, non-linearized)
+    std::cout << "rgba -------" << std::endl;
+    test_rd(image_channel_order::rgba, image_channel_type::unorm_int8);
+
+    // sRGBA -- (linearized reads)
+    std::cout << "srgba -------" << std::endl;
+    test_rd(image_channel_order::ext_oneapi_srgba,
+            image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
+
+// clang-format off
+// CHECK: SYCL_EXT_ONEAPI_SRGB defined
+// CHECK: aspect::ext_oneapi_srgb detected
+
+// CHECK: rgba -------
+// CHECK-NEXT: read four pixels, no sampler
+//   these next four reads should all be close to 0.5
+// CHECK-NEXT: 0: {0.498039,0.498039,0.498039,0.498039} 
+// CHECK-NEXT: 1: {0.498039,0.498039,0.498039,0.498039} 
+// CHECK-NEXT: 2: {0.498039,0.498039,0.498039,0.498039} 
+// CHECK-NEXT: 3: {0.498039,0.498039,0.498039,0.498039} 
+// CHECK: srgba -------
+// CHECK-NEXT: read four pixels, no sampler
+//   these next four reads should have R, G, B values close to 0.2 
+//   presently the values differ slightly between OpenCL GPU and CPU
+// (e.g. GPU: 0.21231, CPU: 0.211795 )
+// CHECK-NEXT: 0: {0.21 
+// CHECK-NEXT: 1: {0.21 
+// CHECK-NEXT: 2: {0.21 
+// CHECK-NEXT: 3: {0.21
+// clang-format on
diff --git a/sycl/test-e2e/Basic/in_order_queue_status.cpp b/sycl/test-e2e/Basic/in_order_queue_status.cpp
new file mode 100644
index 0000000000000..7f7662666d69b
--- /dev/null
+++ b/sycl/test-e2e/Basic/in_order_queue_status.cpp
@@ -0,0 +1,86 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Test checks that queue::ext_oneapi_empty() returns status of the in-order
+// queue.
+
+#include <chrono>
+#include <sycl.hpp>
+#include <thread>
+
+static void CheckArray(int *x, size_t buffer_size, int expected) {
+  for (size_t i = 0; i < buffer_size; ++i) {
+    assert(x[i] == expected);
+  }
+}
+
+using namespace sycl;
+
+void TestFunc(queue &Q) {
+  static constexpr int Size = 100;
+
+  assert(Q.ext_oneapi_empty() && "Queue is expected to be empty");
+
+  int *X = malloc_host<int>(Size, Q);
+  int *Y = malloc_host<int>(Size, Q);
+
+  auto FillEv = Q.fill(X, 99, Size);
+  auto SingleTaskEv = Q.submit([&](handler &CGH) {
+    auto SingleTask = [=] {
+      for (int I = 0; I < Size; I++)
+        X[I] += 1;
+    };
+    CGH.single_task(SingleTask);
+  });
+  auto MemCpyEv = Q.copy(X, Y, Size);
+  constexpr int NumIter = 5;
+  for (int I = 0; I < NumIter; I++) {
+    Q.submit([&](handler &CGH) {
+      CGH.parallel_for<class Kernel1>(sycl::range<1>(Size),
+                                      [=](sycl::id<1> WI) { Y[WI] *= 2; });
+    });
+  }
+
+  // Wait a bit to give a chance for tasks to complete.
+  std::this_thread::sleep_for(std::chrono::milliseconds(500));
+
+  // We expect that all submitted tasks are finished if ext_oneapi_empty is
+  // true.
+  if (Q.ext_oneapi_empty())
+    CheckArray(Y, Size, 3200);
+
+  Q.wait();
+
+  // After synchronization queue must be empty.
+  assert(Q.ext_oneapi_empty() && "Queue is expected to be empty");
+
+  free(X, Q);
+  free(Y, Q);
+}
+
+int main() {
+  // Test in-order queue.
+  queue Q1{property::queue::in_order()};
+  TestFunc(Q1);
+
+  // Test in-order queue with discard_events property.
+  sycl::property_list Props{
+      property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  queue Q2{Props};
+
+  bool ExceptionThrown = false;
+  try {
+    TestFunc(Q2);
+  } catch (sycl::exception &E) {
+    ExceptionThrown = true;
+  }
+
+  // Feature is not supported for OpenCL, exception must be thrown.
+  if (Q2.get_device().get_backend() == backend::opencl)
+    return ExceptionThrown ? 0 : -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/info.cpp b/sycl/test-e2e/Basic/info.cpp
new file mode 100644
index 0000000000000..dfb78eebd7551
--- /dev/null
+++ b/sycl/test-e2e/Basic/info.cpp
@@ -0,0 +1,386 @@
+// RUN: %clangxx -D__SYCL_INTERNAL_API -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==----------------info.cpp - SYCL objects get_info() test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cstdint>
+#include <iostream>
+#include <string>
+#include <strstream>
+#include <type_traits>
+
+using namespace sycl;
+
+// Handle unknown info, e.g., from non-standard extensions.
+template <typename T> std::string unknown_info_to_string(T info) {
+  std::strstream stream;
+  stream << std::hex << static_cast<std::uint64_t>(info) << " (unknown value)"
+         << "\n";
+  return stream.str();
+}
+
+template <typename T> std::string info_to_string(T info) {
+  return std::to_string(info);
+}
+
+template <> std::string info_to_string(std::string info) {
+  if (info.empty()) {
+    return "none";
+  }
+  return info;
+}
+
+template <> std::string info_to_string(bool info) {
+  if (info) {
+    return "true";
+  }
+  return "false";
+}
+template <> std::string info_to_string(info::device_type info) {
+  switch (info) {
+  case info::device_type::cpu:
+    return "cpu";
+  case info::device_type::gpu:
+    return "gpu";
+  case info::device_type::accelerator:
+    return "accelerator";
+  case info::device_type::custom:
+    return "custom";
+  case info::device_type::automatic:
+    return "automatic";
+  case info::device_type::all:
+    return "all";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(info::fp_config info) {
+  switch (info) {
+  case info::fp_config::denorm:
+    return "denorm";
+  case info::fp_config::inf_nan:
+    return "inf_nan";
+  case info::fp_config::round_to_nearest:
+    return "round_to_nearest";
+  case info::fp_config::round_to_zero:
+    return "round_to_zero";
+  case info::fp_config::round_to_inf:
+    return "round_to_inf";
+  case info::fp_config::fma:
+    return "fma";
+  case info::fp_config::correctly_rounded_divide_sqrt:
+    return "correctly_rounded_divide_sqrt";
+  case info::fp_config::soft_float:
+    return "soft_float";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(info::global_mem_cache_type info) {
+  switch (info) {
+  case info::global_mem_cache_type::none:
+    return "none";
+  case info::global_mem_cache_type::read_only:
+    return "read_only";
+  case info::global_mem_cache_type::read_write:
+    return "read_write";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(info::local_mem_type info) {
+  switch (info) {
+  case info::local_mem_type::none:
+    return "none";
+  case info::local_mem_type::local:
+    return "local";
+  case info::local_mem_type::global:
+    return "global";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(info::execution_capability info) {
+  switch (info) {
+  case info::execution_capability::exec_kernel:
+    return "exec_kernel";
+  case info::execution_capability::exec_native_kernel:
+    return "exec_native_kernel";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(info::partition_property info) {
+  switch (info) {
+  case info::partition_property::no_partition:
+    return "no_partition";
+  case info::partition_property::partition_equally:
+    return "partition_equally";
+  case info::partition_property::partition_by_counts:
+    return "partition_by_counts";
+  case info::partition_property::partition_by_affinity_domain:
+    return "partition_by_affinity_domain";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(info::partition_affinity_domain info) {
+  switch (info) {
+  case info::partition_affinity_domain::not_applicable:
+    return "not_applicable";
+  case info::partition_affinity_domain::numa:
+    return "numa";
+  case info::partition_affinity_domain::L4_cache:
+    return "L4_cache";
+  case info::partition_affinity_domain::L3_cache:
+    return "L3_cache";
+  case info::partition_affinity_domain::L2_cache:
+    return "L2_cache";
+  case info::partition_affinity_domain::L1_cache:
+    return "L1_cache";
+  case info::partition_affinity_domain::next_partitionable:
+    return "next_partitionable";
+  default:
+    return unknown_info_to_string(info);
+  }
+}
+
+template <> std::string info_to_string(platform info) {
+  return "SYCL OpenCL platform";
+}
+
+template <> std::string info_to_string(device info) {
+  return "SYCL OpenCL device";
+}
+
+template <int Dim> std::string info_to_string(id<Dim> info) {
+  std::string str;
+  for (size_t i = 0; i < Dim; ++i) {
+    str += info_to_string(info[i]) + " ";
+  }
+  return str;
+}
+
+template <typename T> std::string info_to_string(std::vector<T> info) {
+  if (info.empty()) {
+    return "none";
+  }
+  std::string str;
+  for (const auto &x : info) {
+    str += info_to_string(x) + " ";
+  }
+  return str;
+}
+
+template <typename Param, typename ExpectedReturnT>
+void print_info(const device &dev, const std::string &name) {
+  static_assert(
+      std::is_same<typename Param::return_type, ExpectedReturnT>::value,
+      "Unexpected info query return type");
+  ExpectedReturnT result = dev.get_info<Param>();
+  std::cout << name << ": " << info_to_string(result) << std::endl;
+}
+
+template <typename Param, typename ExpectedReturnT>
+void print_info(const platform &plt, const std::string &name) {
+  static_assert(
+      std::is_same<typename Param::return_type, ExpectedReturnT>::value,
+      "Unexpected info query return type");
+  ExpectedReturnT result(plt.get_info<Param>());
+  std::cout << name << ": " << info_to_string(result) << std::endl;
+}
+
+int main() {
+  std::string separator(std::string(80, '-') + "\n");
+  std::cout << separator << "Device information\n" << separator;
+  default_selector selector;
+  device dev(selector.select_device());
+
+  print_info<info::device::device_type, info::device_type>(dev, "Device type");
+  print_info<info::device::vendor_id, std::uint32_t>(dev, "Vendor ID");
+  print_info<info::device::max_compute_units, std::uint32_t>(
+      dev, "Max compute units");
+  print_info<info::device::max_work_item_dimensions, std::uint32_t>(
+      dev, "Max work item dimensions");
+  print_info<info::device::max_work_item_sizes<1>, id<1>>(
+      dev, "Max work item sizes 1D");
+  print_info<info::device::max_work_item_sizes<2>, id<2>>(
+      dev, "Max work item sizes 2D");
+  print_info<info::device::max_work_item_sizes<3>, id<3>>(
+      dev, "Max work item sizes 3D");
+  print_info<info::device::max_work_group_size, size_t>(dev,
+                                                        "Max work group size");
+  print_info<info::device::preferred_vector_width_char, std::uint32_t>(
+      dev, "Preferred vector width char");
+  print_info<info::device::preferred_vector_width_short, std::uint32_t>(
+      dev, "Preferred vector width short");
+  print_info<info::device::preferred_vector_width_int, std::uint32_t>(
+      dev, "Preferred vector width int");
+  print_info<info::device::preferred_vector_width_long, std::uint32_t>(
+      dev, "Preferred vector width long");
+  print_info<info::device::preferred_vector_width_float, std::uint32_t>(
+      dev, "Preferred vector width float");
+  print_info<info::device::preferred_vector_width_double, std::uint32_t>(
+      dev, "Preferred vector width double");
+  print_info<info::device::preferred_vector_width_half, std::uint32_t>(
+      dev, "Preferred vector width half");
+  print_info<info::device::native_vector_width_char, std::uint32_t>(
+      dev, "Native vector width char");
+  print_info<info::device::native_vector_width_short, std::uint32_t>(
+      dev, "Native vector width short");
+  print_info<info::device::native_vector_width_int, std::uint32_t>(
+      dev, "Native vector width int");
+  print_info<info::device::native_vector_width_long, std::uint32_t>(
+      dev, "Native vector width long");
+  print_info<info::device::native_vector_width_float, std::uint32_t>(
+      dev, "Native vector width float");
+  print_info<info::device::native_vector_width_double, std::uint32_t>(
+      dev, "Native vector width double");
+  print_info<info::device::native_vector_width_half, std::uint32_t>(
+      dev, "Native vector width half");
+  /*TODO: uncomment when problem with frequency detection is fixed
+  print_info<info::device::max_clock_frequency, std::uint32_t>(
+      dev, "Max clock frequency");*/
+  print_info<info::device::address_bits, std::uint32_t>(dev, "Address bits");
+  print_info<info::device::max_mem_alloc_size, std::uint64_t>(
+      dev, "Max mem alloc size");
+  print_info<info::device::image_support, bool>(dev, "Image support");
+  print_info<info::device::max_read_image_args, std::uint32_t>(
+      dev, "Max read image args");
+  print_info<info::device::max_write_image_args, std::uint32_t>(
+      dev, "Max write image args");
+  print_info<info::device::image2d_max_width, size_t>(dev, "Image2D max width");
+  print_info<info::device::image2d_max_height, size_t>(dev,
+                                                       "Image2D max height");
+  print_info<info::device::image3d_max_width, size_t>(dev, "Image3D max width");
+  print_info<info::device::image3d_max_height, size_t>(dev,
+                                                       "Image3D max height");
+  print_info<info::device::image3d_max_depth, size_t>(dev, "Image3D max depth");
+  print_info<info::device::image_max_buffer_size, size_t>(
+      dev, "Image max buffer size");
+  print_info<info::device::image_max_array_size, size_t>(
+      dev, "Image max array size");
+  print_info<info::device::max_samplers, std::uint32_t>(dev, "Max samplers");
+  print_info<info::device::max_parameter_size, size_t>(dev,
+                                                       "Max parameter size");
+  print_info<info::device::mem_base_addr_align, std::uint32_t>(
+      dev, "Mem base addr align");
+  print_info<info::device::half_fp_config, std::vector<info::fp_config>>(
+      dev, "Half fp config");
+  print_info<info::device::single_fp_config, std::vector<info::fp_config>>(
+      dev, "Single fp config");
+  print_info<info::device::double_fp_config, std::vector<info::fp_config>>(
+      dev, "Double fp config");
+  print_info<info::device::global_mem_cache_type, info::global_mem_cache_type>(
+      dev, "Global mem cache type");
+  print_info<info::device::global_mem_cache_line_size, std::uint32_t>(
+      dev, "Global mem cache line size");
+  print_info<info::device::global_mem_cache_size, std::uint64_t>(
+      dev, "Global mem cache size");
+  print_info<info::device::global_mem_size, std::uint64_t>(dev,
+                                                           "Global mem size");
+  print_info<info::device::max_constant_buffer_size, std::uint64_t>(
+      dev, "Max constant buffer size");
+  print_info<info::device::max_constant_args, std::uint32_t>(
+      dev, "Max constant args");
+  print_info<info::device::local_mem_type, info::local_mem_type>(
+      dev, "Local mem type");
+  print_info<info::device::local_mem_size, std::uint64_t>(dev,
+                                                          "Local mem size");
+  print_info<info::device::error_correction_support, bool>(
+      dev, "Error correction support");
+  print_info<info::device::host_unified_memory, bool>(dev,
+                                                      "Host unified memory");
+  print_info<info::device::profiling_timer_resolution, size_t>(
+      dev, "Profiling timer resolution");
+  print_info<info::device::is_endian_little, bool>(dev, "Is endian little");
+  print_info<info::device::is_available, bool>(dev, "Is available");
+  print_info<info::device::is_compiler_available, bool>(
+      dev, "Is compiler available");
+  print_info<info::device::is_linker_available, bool>(dev,
+                                                      "Is linker available");
+  print_info<info::device::execution_capabilities,
+             std::vector<info::execution_capability>>(dev,
+                                                      "Execution capabilities");
+  print_info<info::device::queue_profiling, bool>(dev, "Queue profiling");
+  print_info<info::device::built_in_kernels, std::vector<std::string>>(
+      dev, "Built in kernels");
+  print_info<info::device::platform, platform>(dev, "Platform");
+  print_info<info::device::name, std::string>(dev, "Name");
+  print_info<info::device::vendor, std::string>(dev, "Vendor");
+  print_info<info::device::driver_version, std::string>(dev, "Driver version");
+  print_info<info::device::profile, std::string>(dev, "Profile");
+  print_info<info::device::version, std::string>(dev, "Version");
+  print_info<info::device::opencl_c_version, std::string>(dev,
+                                                          "OpenCL C version");
+  print_info<info::device::extensions, std::vector<std::string>>(dev,
+                                                                 "Extensions");
+  print_info<info::device::printf_buffer_size, size_t>(dev,
+                                                       "Printf buffer size");
+  print_info<info::device::preferred_interop_user_sync, bool>(
+      dev, "Preferred interop user sync");
+  try {
+    print_info<info::device::parent_device, device>(dev, "Parent device");
+  } catch (invalid_object_error e) {
+    std::cout << "Expected exception has been caught: " << e.what()
+              << std::endl;
+  }
+  print_info<info::device::partition_max_sub_devices, std::uint32_t>(
+      dev, "Partition max sub devices");
+  print_info<info::device::partition_properties,
+             std::vector<info::partition_property>>(dev,
+                                                    "Partition properties");
+  print_info<info::device::partition_affinity_domains,
+             std::vector<info::partition_affinity_domain>>(
+      dev, "Partition affinity domains");
+  // TODO test once subdevice creation is enabled
+  // print_info<info::device::partition_type_property,
+  // info::partition_property>(dev, "Partition type property");
+  print_info<info::device::partition_type_affinity_domain,
+             info::partition_affinity_domain>(dev,
+                                              "Partition type affinity domain");
+  print_info<info::device::reference_count, sycl::opencl::cl_uint>(
+      dev, "Reference count");
+
+  std::cout << separator << "Platform information\n" << separator;
+  platform plt(dev.get_platform());
+  print_info<info::platform::profile, std::string>(plt, "Profile");
+  print_info<info::platform::version, std::string>(plt, "Version");
+  print_info<info::platform::name, std::string>(plt, "Name");
+  print_info<info::platform::vendor, std::string>(plt, "Vendor");
+  print_info<info::platform::extensions, std::vector<std::string>>(
+      plt, "Extensions");
+
+  std::cout << separator << "Queue information\n" << separator;
+  queue q(selector);
+  auto qdev = q.get_info<sycl::info::queue::device>();
+  std::cout << "Device from queue information\n";
+  print_info<info::device::name, std::string>(qdev, "Name");
+  auto ctx = q.get_info<sycl::info::queue::context>();
+
+  std::cout << separator << "Context information\n" << separator;
+  std::cout << "Devices from context information\n";
+  auto cdevs = ctx.get_info<sycl::info::context::devices>();
+  for (auto cdev : cdevs) {
+    print_info<info::device::name, std::string>(cdev, "Name");
+  }
+  std::cout << separator << "Platform from context information\n" << separator;
+  auto cplt = ctx.get_info<sycl::info::context::platform>();
+  print_info<info::platform::name, std::string>(cplt, "Name");
+}
diff --git a/sycl/test-e2e/Basic/info_ocl_version.cpp b/sycl/test-e2e/Basic/info_ocl_version.cpp
new file mode 100644
index 0000000000000..23e19affc063e
--- /dev/null
+++ b/sycl/test-e2e/Basic/info_ocl_version.cpp
@@ -0,0 +1,36 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env %CPU_RUN_PLACEHOLDER %t.out
+// RUN: env %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------info_ocl_version.cpp - SYCL objects get_info() test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <regex>
+#include <string>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// This test checks that sycl::info::device::version
+// is returned in a form: <major_version>.<minor_version>
+
+int main() {
+  default_selector selector;
+  device dev(selector.select_device());
+  auto ocl_version = dev.get_info<info::device::version>();
+  std::cout << ocl_version << std::endl;
+  const std::regex oclVersionRegex("[0-9]\\.[0-9]");
+  if (!std::regex_match(ocl_version, oclVersionRegex)) {
+    std::cout << "Failed" << std::endl;
+    return 1;
+  }
+  std::cout << "Passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/intel-ext-device.cpp b/sycl/test-e2e/Basic/intel-ext-device.cpp
new file mode 100644
index 0000000000000..fe08db99b02b3
--- /dev/null
+++ b/sycl/test-e2e/Basic/intel-ext-device.cpp
@@ -0,0 +1,165 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=level_zero:gpu %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:gpu %t.out
+//
+// REQUIRES: gpu
+// UNSUPPORTED: hip
+// Temporarily disable on L0 due to fails in CI
+
+//==--------- intel-ext-device.cpp - SYCL device test ------------==//
+//
+// Returns the low-level device details.  These are Intel-specific extensions
+// that are only supported on Level Zero.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+
+using namespace sycl;
+
+#ifdef _WIN32
+#define setenv(name, value, overwrite) _putenv_s(name, value)
+#endif
+
+int main(int argc, char **argv) {
+  // Must be enabled at the beginning of the application
+  // to obtain the PCI address
+  setenv("SYCL_ENABLE_PCI", "1", 0);
+
+  int pltCount = 1;
+  for (const auto &plt : platform::get_platforms()) {
+    int devCount = 1;
+    int totalEUs = 0;
+    int numSlices = 0;
+    int numSubslices = 0;
+    int numEUsPerSubslice = 0;
+    int numHWThreadsPerEU = 0;
+    for (const auto &dev : plt.get_devices()) {
+      std::cout << "Platform #" << pltCount++ << ":" << std::endl;
+      if (dev.has(aspect::gpu)) {
+        auto name = dev.get_info<info::device::name>();
+        std::cout << "Device #" << devCount++ << ": "
+                  << dev.get_info<info::device::name>() << ":" << std::endl;
+
+        std::cout << "Backend: ";
+        if (plt.get_backend() == backend::ext_oneapi_level_zero) {
+          std::cout << "Level Zero" << std::endl;
+        } else if (plt.get_backend() == backend::opencl) {
+          std::cout << "OpenCL" << std::endl;
+        } else if (plt.get_backend() == backend::ext_oneapi_cuda) {
+          std::cout << "CUDA" << std::endl;
+        } else {
+          std::cout << "Unknown" << std::endl;
+        }
+
+        // Use Feature Test macro to see if extensions are supported.
+        if (SYCL_EXT_INTEL_DEVICE_INFO >= 1) {
+
+          if (dev.has(aspect::ext_intel_pci_address)) {
+            std::cout << "PCI address = "
+                      << dev.get_info<ext::intel::info::device::pci_address>()
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_eu_count)) {
+            totalEUs = dev.get_info<ext::intel::info::device::gpu_eu_count>();
+            std::cout << "Number of EUs = " << totalEUs << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_eu_simd_width)) {
+            int w = dev.get_info<ext::intel::info::device::gpu_eu_simd_width>();
+            std::cout << "EU SIMD width = " << w << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_slices)) {
+            numSlices = dev.get_info<ext::intel::info::device::gpu_slices>();
+            std::cout << "Number of slices = " << numSlices << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_subslices_per_slice)) {
+            numSubslices = dev.get_info<
+                ext::intel::info::device::gpu_subslices_per_slice>();
+            std::cout << "Number of subslices per slice = " << numSubslices
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_eu_count_per_subslice)) {
+            numEUsPerSubslice = dev.get_info<
+                ext::intel::info::device::gpu_eu_count_per_subslice>();
+            std::cout << "Number of EUs per subslice = " << numEUsPerSubslice
+                      << std::endl;
+          }
+          if (SYCL_EXT_INTEL_DEVICE_INFO >= 3 &&
+              dev.has(aspect::ext_intel_gpu_hw_threads_per_eu)) {
+            numHWThreadsPerEU =
+                dev.get_info<ext::intel::info::device::gpu_hw_threads_per_eu>();
+            std::cout << "Number of HW threads per EU = " << numHWThreadsPerEU
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_max_mem_bandwidth)) {
+            // not supported yet
+            long m =
+                dev.get_info<ext::intel::info::device::max_mem_bandwidth>();
+            std::cout << "Maximum memory bandwidth = " << m << std::endl;
+          }
+          // This is the only data we can verify.
+          if (totalEUs != numSlices * numSubslices * numEUsPerSubslice) {
+            std::cout << "Error: EU Count is incorrect!" << std::endl;
+            std::cout << "Failed!" << std::endl;
+            return 1;
+          }
+          if (SYCL_EXT_INTEL_DEVICE_INFO >= 2 &&
+              dev.has(aspect::ext_intel_device_info_uuid)) {
+            auto UUID = dev.get_info<ext::intel::info::device::uuid>();
+            std::cout << "Device UUID = ";
+            for (int i = 0; i < 16; i++) {
+              std::cout << std::to_string(UUID[i]);
+            }
+            std::cout << "\n";
+          }
+          if (SYCL_EXT_INTEL_DEVICE_INFO >= 5 &&
+              dev.has(aspect::ext_intel_device_id)) {
+            int deviceID = dev.get_info<ext::intel::info::device::device_id>();
+            std::cout << "Device ID = " << deviceID << std::endl;
+          }
+        } // SYCL_EXT_INTEL_DEVICE_INFO
+      }
+
+// Check if this experimental feature is supported
+#ifdef SYCL_EXT_ONEAPI_MAX_WORK_GROUP_QUERY
+      sycl::id<1> groupD = dev.get_info<
+          sycl::ext::oneapi::experimental::info::device::max_work_groups<1>>();
+      std::cout << "Max work group size in 1D \n";
+      std::cout << "Dimension 1:" << groupD[0] << std::endl;
+
+      sycl::id<2> group2D = dev.get_info<
+          sycl::ext::oneapi::experimental::info::device::max_work_groups<2>>();
+      std::cout << "Max work group size in 2D \n";
+      std::cout << "Dimension 1:" << group2D[0] << "\n"
+                << "Dimension 2:" << group2D[1] << std::endl;
+
+      sycl::id<3> group3D = dev.get_info<
+          sycl::ext::oneapi::experimental::info::device::max_work_groups<3>>();
+      std::cout << "Max work group size in 3D \n";
+      std::cout << "Dimension 1:" << group3D[0] << "\n"
+                << "Dimension 2:" << group3D[1] << "\n"
+                << "Dimension 3:" << group3D[2] << std::endl;
+
+      size_t group_max = dev.get_info<sycl::ext::oneapi::experimental::info::
+                                          device::max_global_work_groups>();
+      std::cout << "Max global work group size:" << group_max << "\n";
+
+      assert((group3D[0] <= group_max && group3D[1] <= group_max &&
+              group3D[2] <= group_max) &&
+             "Max work-group size of each dimension must be smaller than "
+             "global work-group size");
+#endif
+
+      std::cout << std::endl;
+    }
+  }
+  std::cout << "Passed!" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/interop/check_carrying_real_kernel_IDs.cpp b/sycl/test-e2e/Basic/interop/check_carrying_real_kernel_IDs.cpp
new file mode 100644
index 0000000000000..65513d64cbdc5
--- /dev/null
+++ b/sycl/test-e2e/Basic/interop/check_carrying_real_kernel_IDs.cpp
@@ -0,0 +1,40 @@
+// REQUIRES: opencl, opencl_icd
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <CL/opencl.h>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Queue{};
+
+  const char KernelCode[] = "__kernel void foo() { }\n";
+  const size_t KernelCodeSize = sizeof(KernelCode);
+  const char *CLCode[1] = {KernelCode};
+
+  auto Context = Queue.get_info<info::queue::context>();
+  auto Device = Queue.get_info<info::queue::device>();
+  cl_context CLContext = get_native<backend::opencl>(Context);
+  cl_device_id CLDevice = get_native<backend::opencl>(Device);
+
+  cl_int Err;
+
+  cl_program CLProgram =
+      clCreateProgramWithSource(CLContext, 1, CLCode, &KernelCodeSize, &Err);
+  assert(Err == CL_SUCCESS);
+  Err = clBuildProgram(CLProgram, 1, &CLDevice, "", nullptr, nullptr);
+  assert(Err == CL_SUCCESS);
+
+  cl_kernel CLKernel = clCreateKernel(CLProgram, "foo", &Err);
+  assert(Err == CL_SUCCESS);
+  kernel SYCLKernel = sycl::make_kernel<backend::opencl>(CLKernel, Context);
+
+  Queue.submit(
+      [&](handler &commandgroup) { commandgroup.single_task(SYCLKernel); });
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/interop/construction_ocl.cpp b/sycl/test-e2e/Basic/interop/construction_ocl.cpp
new file mode 100644
index 0000000000000..390f840bb8075
--- /dev/null
+++ b/sycl/test-e2e/Basic/interop/construction_ocl.cpp
@@ -0,0 +1,160 @@
+// REQUIRES: opencl, opencl_icd
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %opencl_lib %s -o %t.ocl.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %t.ocl.out
+
+#include <CL/cl.h>
+#include <sycl/backend/opencl.hpp>
+
+#include <sycl/sycl.hpp>
+
+constexpr auto BE = sycl::backend::opencl;
+
+int main() {
+  sycl::device Dev{sycl::default_selector_v};
+  auto NativeDev = sycl::get_native<BE>(Dev);
+
+  sycl::device NewDev = sycl::make_device<BE>(NativeDev);
+  assert(NewDev.get_info<sycl::info::device::name>() ==
+         Dev.get_info<sycl::info::device::name>());
+
+  sycl::platform Plt = Dev.get_platform();
+  auto NativePlt = sycl::get_native<BE>(Plt);
+
+  sycl::platform NewPlt = sycl::make_platform<BE>(NativePlt);
+  assert(NewPlt == Plt);
+
+  sycl::context Ctx{Dev};
+  auto NativeCtx = sycl::get_native<BE>(Ctx);
+
+  sycl::context NewCtx = sycl::make_context<BE>(NativeCtx);
+  assert(sycl::get_native<BE>(NewCtx) == NativeCtx);
+
+  sycl::queue Q{Ctx, Dev};
+  auto NativeQ = sycl::get_native<BE>(Q);
+
+  sycl::queue NewQ = sycl::make_queue<BE>(NativeQ, Ctx);
+  assert(NativeQ == sycl::get_native<BE>(NewQ));
+
+  sycl::event Evt = Q.single_task<class Tst>([] {});
+  auto NativeEvt = sycl::get_native<BE>(Evt);
+
+  sycl::event NewEvt = sycl::make_event<BE>(NativeEvt, Ctx);
+  assert(NativeEvt == sycl::get_native<BE>(NewEvt));
+
+  cl_mem NativeBuf =
+      clCreateBuffer(NativeCtx, CL_MEM_READ_WRITE, 128, nullptr, nullptr);
+  auto NewBuf = sycl::make_buffer<BE, char>(NativeBuf, Ctx);
+  assert(NewBuf.get_range()[0] == 128);
+
+  const char *ProgSrc = "kernel void _() {}";
+  cl_int Err;
+
+  // Program in state NONE
+  {
+    cl_program OclProg =
+        clCreateProgramWithSource(NativeCtx, 1, &ProgSrc, nullptr, &Err);
+    assert(Err == CL_SUCCESS && "Program creation failed");
+
+    auto KB =
+        sycl::make_kernel_bundle<BE, sycl::bundle_state::input>(OclProg, Ctx);
+    auto KernelIDs = KB.get_kernel_ids();
+    assert(KernelIDs.empty());
+
+    cl_program OclProg2 =
+        clCreateProgramWithSource(NativeCtx, 1, &ProgSrc, nullptr, &Err);
+    assert(Err == CL_SUCCESS && "Program creation failed");
+
+    auto KB2 =
+        sycl::make_kernel_bundle<BE, sycl::bundle_state::object>(OclProg2, Ctx);
+    auto KernelIDs2 = KB2.get_kernel_ids();
+    assert(KernelIDs2.empty());
+
+    cl_program OclProg3 =
+        clCreateProgramWithSource(NativeCtx, 1, &ProgSrc, nullptr, &Err);
+    assert(Err == CL_SUCCESS && "Program creation failed");
+
+    auto KB3 = sycl::make_kernel_bundle<BE, sycl::bundle_state::executable>(
+        OclProg3, Ctx);
+    auto KernelIDs3 = KB3.get_kernel_ids();
+    assert(KernelIDs3.empty());
+  }
+
+  // Compiled program
+  {
+    cl_program OclProg =
+        clCreateProgramWithSource(NativeCtx, 1, &ProgSrc, nullptr, &Err);
+    assert(Err == CL_SUCCESS && "Program creation failed");
+
+    Err = clCompileProgram(OclProg, 1, &NativeDev, "", 0, nullptr, nullptr,
+                           nullptr, nullptr);
+    assert(Err == CL_SUCCESS && "Program compile failed");
+
+    auto KB =
+        sycl::make_kernel_bundle<BE, sycl::bundle_state::object>(OclProg, Ctx);
+    auto KernelIDs = KB.get_kernel_ids();
+    assert(KernelIDs.empty());
+
+    bool StateMismatch = false;
+    try {
+      auto KB2 =
+          sycl::make_kernel_bundle<BE, sycl::bundle_state::input>(OclProg, Ctx);
+    } catch (sycl::runtime_error Ex) {
+      StateMismatch = true;
+    }
+    assert(StateMismatch);
+
+    cl_program OclProg3 =
+        clCreateProgramWithSource(NativeCtx, 1, &ProgSrc, nullptr, &Err);
+    assert(Err == CL_SUCCESS && "Program creation failed");
+
+    Err = clCompileProgram(OclProg3, 1, &NativeDev, "", 0, nullptr, nullptr,
+                           nullptr, nullptr);
+    assert(Err == CL_SUCCESS && "Program compile failed");
+
+    auto KB3 = sycl::make_kernel_bundle<BE, sycl::bundle_state::executable>(
+        OclProg3, Ctx);
+    auto KernelIDs3 = KB3.get_kernel_ids();
+    assert(KernelIDs3.empty());
+  }
+
+  // Linked program
+  {
+    cl_program OclProg =
+        clCreateProgramWithSource(NativeCtx, 1, &ProgSrc, nullptr, &Err);
+    assert(Err == CL_SUCCESS && "Program creation failed");
+
+    Err = clBuildProgram(OclProg, 1, &NativeDev, "", nullptr, nullptr);
+    assert(Err == CL_SUCCESS && "Program build failed");
+
+    auto KB = sycl::make_kernel_bundle<BE, sycl::bundle_state::executable>(
+        OclProg, Ctx);
+    auto KernelIDs = KB.get_kernel_ids();
+    assert(KernelIDs.empty());
+
+    cl_kernel NativeKer = clCreateKernel(OclProg, "_", &Err);
+    assert(Err == CL_SUCCESS && "Kernel creation failed");
+
+    auto Kernel = sycl::make_kernel<BE>(NativeKer, Ctx);
+    assert(Kernel.get_info<sycl::info::kernel::num_args>() == 0);
+
+    bool StateMismatch = false;
+    try {
+      auto KB2 =
+          sycl::make_kernel_bundle<BE, sycl::bundle_state::input>(OclProg, Ctx);
+    } catch (sycl::runtime_error Ex) {
+      StateMismatch = true;
+    }
+    assert(StateMismatch);
+
+    StateMismatch = false;
+    try {
+      auto KB3 = sycl::make_kernel_bundle<BE, sycl::bundle_state::object>(
+          OclProg, Ctx);
+    } catch (sycl::runtime_error Ex) {
+      StateMismatch = true;
+    }
+    assert(StateMismatch);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/interop/construction_ze.cpp b/sycl/test-e2e/Basic/interop/construction_ze.cpp
new file mode 100644
index 0000000000000..2da8f5d19192d
--- /dev/null
+++ b/sycl/test-e2e/Basic/interop/construction_ze.cpp
@@ -0,0 +1,28 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.ze.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" %t.ze.out
+
+#include <level_zero/ze_api.h>
+
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+
+constexpr auto BE = sycl::backend::ext_oneapi_level_zero;
+
+int main() {
+  sycl::device Dev{sycl::default_selector_v};
+
+  sycl::queue Q{Dev};
+
+  if (0) {
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<class T>([] {}); });
+  }
+
+  sycl::platform Plt = Dev.get_platform();
+  auto NativePlt = sycl::get_native<BE>(Plt);
+
+  sycl::platform NewPlt = sycl::make_platform<BE>(NativePlt);
+  assert(NewPlt == Plt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/interop/get_native_ocl.cpp b/sycl/test-e2e/Basic/interop/get_native_ocl.cpp
new file mode 100644
index 0000000000000..ee995a241e2b8
--- /dev/null
+++ b/sycl/test-e2e/Basic/interop/get_native_ocl.cpp
@@ -0,0 +1,42 @@
+// REQUIRES: opencl, opencl_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %opencl_options %s -o %t.ocl.out
+// RUN: %t.ocl.out
+
+#include <CL/cl.h>
+
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+constexpr auto BE = sycl::backend::opencl;
+
+class TestKernel;
+
+int main() {
+  sycl::queue Q;
+
+  if (0) {
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<TestKernel>([] {}); });
+  }
+
+  sycl::kernel_id KernelID = sycl::get_kernel_id<TestKernel>();
+
+  sycl::kernel_bundle KernelBundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::executable>(Q.get_context());
+
+  sycl::kernel Kernel = KernelBundle.get_kernel(KernelID);
+
+  cl_kernel Handle = sycl::get_native<BE>(Kernel);
+
+  size_t Size = 0;
+  cl_int Err =
+      clGetKernelInfo(Handle, CL_KERNEL_FUNCTION_NAME, 0, nullptr, &Size);
+  assert(Err == CL_SUCCESS);
+
+  std::vector<cl_program> Progs = sycl::get_native<BE>(KernelBundle);
+  for (cl_program Prog : Progs) {
+    Err = clGetProgramInfo(Prog, CL_PROGRAM_REFERENCE_COUNT, 0, nullptr, &Size);
+    assert(Err == CL_SUCCESS);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/interop/get_native_ze.cpp b/sycl/test-e2e/Basic/interop/get_native_ze.cpp
new file mode 100644
index 0000000000000..22ae3a267af48
--- /dev/null
+++ b/sycl/test-e2e/Basic/interop/get_native_ze.cpp
@@ -0,0 +1,48 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.ze.out
+// RUN: %t.ze.out
+
+// Temporarily disable on L0 due to fails in CI
+// UNSUPPORTED: level_zero
+
+#include <level_zero/ze_api.h>
+
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+
+constexpr auto BE = sycl::backend::ext_oneapi_level_zero;
+
+class TestKernel;
+
+int main() {
+  sycl::queue Q;
+
+  if (0) {
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<TestKernel>([] {}); });
+  }
+
+  sycl::kernel_id KernelID = sycl::get_kernel_id<TestKernel>();
+
+  sycl::kernel_bundle KernelBundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::executable>(Q.get_context());
+
+  sycl::kernel Kernel = KernelBundle.get_kernel(KernelID);
+
+  ze_kernel_handle_t Handle = sycl::get_native<BE>(Kernel);
+
+  ze_kernel_properties_t KernelProperties = {
+      ZE_STRUCTURE_TYPE_KERNEL_PROPERTIES, 0};
+  ze_result_t Err = zeKernelGetProperties(Handle, &KernelProperties);
+  assert(Err == ZE_RESULT_SUCCESS);
+
+  // SYCL2020 4.5.1.2 - verify exception errc
+  try {
+    // this test is L0 only, so we ask for an unavailable backend.
+    auto BE2 = sycl::get_native<sycl::backend::opencl>(Q);
+    assert(false && "we should not be here.");
+  } catch (sycl::exception e) {
+    assert(e.code() == sycl::errc::backend_mismatch && "wrong error code");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/kernel_bundle/kernel_bundle_api.cpp b/sycl/test-e2e/Basic/kernel_bundle/kernel_bundle_api.cpp
new file mode 100644
index 0000000000000..19977ade23115
--- /dev/null
+++ b/sycl/test-e2e/Basic/kernel_bundle/kernel_bundle_api.cpp
@@ -0,0 +1,388 @@
+// Use of per-kernel device code split and linking the bundle with all images
+// involved leads to multiple definition of AssertHappened structure due each
+// device image is statically linked against fallback libdevice.
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT=1 -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+//
+// UNSUPPORTED: hip
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include <algorithm>
+#include <vector>
+
+class Kernel1Name;
+class Kernel2Name;
+class Kernel3Name;
+
+template <class TryBodyT>
+void checkException(TryBodyT TryBody, const std::string &ExpectedErrMsg) {
+  bool ExceptionThrown = false;
+  try {
+    TryBody();
+  } catch (std::exception &E) {
+    std::cerr << "Caught: " << E.what() << std::endl;
+    std::cerr << "Expect: " << ExpectedErrMsg << std::endl;
+    const bool CorrectException =
+        std::string(E.what()).find(ExpectedErrMsg) != std::string::npos;
+    assert(CorrectException && "Test failed: caught exception is incorrect.");
+    ExceptionThrown = true;
+  }
+  assert(ExceptionThrown && "Expected exception is not thrown");
+}
+
+int main() {
+  const sycl::device Dev{sycl::default_selector_v};
+  const sycl::device Dev2{sycl::default_selector_v};
+
+  const sycl::context Ctx{Dev};
+  const sycl::context Ctx2{Dev2};
+
+  sycl::queue Q{Ctx, Dev};
+  sycl::queue Q2{Ctx2, Dev2};
+
+  // The code is needed to just have device images in the executable
+  if (0) {
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<Kernel1Name>([]() {}); });
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<Kernel2Name>([]() {}); });
+  }
+
+  sycl::kernel_id Kernel1ID = sycl::get_kernel_id<Kernel1Name>();
+  sycl::kernel_id Kernel2ID = sycl::get_kernel_id<Kernel2Name>();
+
+  {
+    sycl::kernel_bundle KernelBundle1 =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev});
+
+    sycl::kernel_bundle KernelBundleCopy = KernelBundle1;
+    assert(KernelBundleCopy == KernelBundle1);
+    assert(!(KernelBundleCopy != KernelBundle1));
+    assert(false == KernelBundle1.empty());
+    assert(Ctx.get_platform().get_backend() == KernelBundle1.get_backend());
+    assert(KernelBundle1.get_context() == Ctx);
+    assert(KernelBundle1.get_devices() == (std::vector<sycl::device>){Dev});
+    assert(KernelBundle1.has_kernel(Kernel1ID));
+    assert(KernelBundle1.has_kernel(Kernel2ID));
+    assert(KernelBundle1.has_kernel(Kernel1ID, Dev));
+    assert(KernelBundle1.has_kernel(Kernel2ID, Dev));
+
+    assert(std::any_of(
+        KernelBundle1.begin(), KernelBundle1.end(),
+        [&Kernel1ID](
+            const sycl::device_image<sycl::bundle_state::input> &DevImage) {
+          return DevImage.has_kernel(Kernel1ID);
+        }));
+
+    assert(std::any_of(
+        KernelBundle1.begin(), KernelBundle1.end(),
+        [&Kernel2ID](
+            const sycl::device_image<sycl::bundle_state::input> &DevImage) {
+          return DevImage.has_kernel(Kernel2ID);
+        }));
+
+    assert(std::any_of(
+        KernelBundle1.begin(), KernelBundle1.end(),
+        [&Kernel1ID,
+         &Dev](const sycl::device_image<sycl::bundle_state::input> &DevImage) {
+          return DevImage.has_kernel(Kernel1ID, Dev);
+        }));
+
+    assert(std::any_of(
+        KernelBundle1.begin(), KernelBundle1.end(),
+        [&Kernel2ID,
+         &Dev](const sycl::device_image<sycl::bundle_state::input> &DevImage) {
+          return DevImage.has_kernel(Kernel2ID, Dev);
+        }));
+
+    assert(sycl::has_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev}));
+    assert(sycl::has_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev},
+                                                              {Kernel2ID}));
+  }
+
+  // The following check relies on "-fsycl-device-code-split=per_kernel" option,
+  // so it is expected that each kernel in a separate device image.
+  // Verify that get_kernel_bundle filters out device images based on vector
+  // of kernel_id's and Selector.
+
+  {
+    // Test get_kernel_bundle with filters, join and get_kernel_ids API.
+    sycl::kernel_bundle KernelBundleInput1 =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev},
+                                                           {Kernel1ID});
+    assert(KernelBundleInput1.has_kernel(Kernel1ID));
+    assert(!KernelBundleInput1.has_kernel(Kernel2ID));
+
+    auto Selector =
+        [&Kernel2ID](
+            const sycl::device_image<sycl::bundle_state::input> &DevImage) {
+          return DevImage.has_kernel(Kernel2ID);
+        };
+
+    sycl::kernel_bundle KernelBundleInput2 =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev},
+                                                           Selector);
+    assert(!KernelBundleInput2.has_kernel(Kernel1ID));
+    assert(KernelBundleInput2.has_kernel(Kernel2ID));
+
+    sycl::kernel_bundle KernelBundleJoint =
+        sycl::join(std::vector<sycl::kernel_bundle<sycl::bundle_state::input>>{
+            KernelBundleInput1, KernelBundleInput2});
+
+    assert(KernelBundleJoint.has_kernel(Kernel1ID));
+    assert(KernelBundleJoint.has_kernel(Kernel2ID));
+
+    std::vector<sycl::kernel_id> KernelIDs = KernelBundleJoint.get_kernel_ids();
+
+    assert(KernelIDs.size() == 2);
+  }
+
+  {
+    // Test compile, link, build
+    sycl::kernel_bundle KernelBundleInput1 =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev},
+                                                           {Kernel1ID});
+
+    sycl::kernel_bundle KernelBundleInput2 =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev},
+                                                           {Kernel2ID});
+
+    sycl::kernel_bundle<sycl::bundle_state::object> KernelBundleObject1 =
+        sycl::compile(KernelBundleInput1, KernelBundleInput1.get_devices());
+    // CHECK:---> piProgramCreate
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: ) ---> pi_result : PI_SUCCESS
+    // CHECK-NEXT: [out]<unknown> ** : {{.*}}[ [[PROGRAM_HANDLE1:[0-9a-fA-Fx]]]
+    //
+    // CHECK:---> piProgramCompile(
+    // CHECK-Next: <unknown> : [[PROGRAM_HANDLE1]]
+
+    sycl::kernel_bundle<sycl::bundle_state::object> KernelBundleObject2 =
+        sycl::compile(KernelBundleInput2, KernelBundleInput2.get_devices());
+    // CHECK:---> piProgramCreate
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: ) ---> pi_result : PI_SUCCESS
+    // CHECK-NEXT: [out]<unknown> ** : {{.*}}[ [[PROGRAM_HANDLE2:[0-9a-fA-Fx]]]
+    //
+    // CHECK:---> piProgramCompile(
+    // CHECK-Next: <unknown> : [[PROGRAM_HANDLE2]]
+
+    sycl::kernel_bundle<sycl::bundle_state::executable> KernelBundleExecutable =
+        sycl::link({KernelBundleObject1, KernelBundleObject2},
+                   KernelBundleObject1.get_devices());
+    // CHECK:---> piProgramLink(
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <const char *>:
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <nullptr>
+    // CHECK-NEXT: <nullptr>
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT:---> pi_result : PI_SUCCESS
+    // CHECK-NEXT: [out]<unknown> ** : {{.*}}
+    // PI tracing doesn't allow checking for all input programs so far.
+
+    assert(KernelBundleExecutable.has_kernel(Kernel1ID));
+    assert(KernelBundleExecutable.has_kernel(Kernel2ID));
+
+    sycl::kernel_bundle<sycl::bundle_state::executable>
+        KernelBundleExecutable2 =
+            sycl::build(KernelBundleInput1, KernelBundleInput1.get_devices());
+
+    // CHECK:---> piProgramCreate
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: ) ---> pi_result : PI_SUCCESS
+    // CHECK-NEXT: [out]<unknown> ** : {{.*}}[ [[PROGRAM_HANDLE3:[0-9a-fA-Fx]]]
+    //
+    // CHECK:---> piProgramBuild(
+    // CHECK-NEXT: <unknown> : [[PROGRAM_HANDLE3]]
+    //
+    // CHECK:---> piProgramRetain(
+    // CHECK-NEXT: <unknown> : [[PROGRAM_HANDLE3]]
+    // CHECK-NEXT:---> pi_result : PI_SUCCESS
+
+    // Version of link which finds intersection of associated devices between
+    // input bundles
+    sycl::kernel_bundle<sycl::bundle_state::executable>
+        KernelBundleExecutable3 =
+            sycl::link({KernelBundleObject1, KernelBundleObject2});
+  }
+
+  {
+    // Test handle::use_kernel_bundle APIs.
+    sycl::kernel_id Kernel3ID = sycl::get_kernel_id<Kernel3Name>();
+
+    sycl::kernel_bundle KernelBundleExecutable =
+        sycl::get_kernel_bundle<sycl::bundle_state::executable>(Ctx, {Dev},
+                                                                {Kernel3ID});
+    // CHECK:---> piextDeviceSelectBinary
+    // CHECK:---> piProgramCreate
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: ) ---> pi_result : PI_SUCCESS
+    // CHECK-NEXT: [out]<unknown> ** : {{.*}}[ [[PROGRAM_HANDLE4:[0-9a-fA-Fx]]]
+    //
+    // CHECK:---> piProgramBuild(
+    // CHECK-NEXT: <unknown> : [[PROGRAM_HANDLE4]]
+    //
+    // CHECK:---> piProgramRetain(
+    // CHECK-NEXT: <unknown> : [[PROGRAM_HANDLE4]]
+    // CHECK-NEXT:---> pi_result : PI_SUCCESS
+    //
+    // CHECK:---> piKernelCreate(
+    // CHECK-NEXT: <unknown> : [[PROGRAM_HANDLE4]]
+    // CHECK-NEXT:<const char *>: _ZTS11Kernel3Name
+    // CHECK-NEXT: <unknown> : {{.*}}
+    // CHECK-NEXT: ---> pi_result : PI_SUCCESS
+    // CHECK-NEXT: [out]<unknown> ** : {{.*}}[ [[KERNEL_HANDLE:[0-9a-fA-Fx]]]
+    //
+    // CHECK:---> piKernelRetain(
+    // CHECK-NEXT: <unknown> : [[KERNEL_HANDLE]]
+    // CHECK-NEXT:---> pi_result : PI_SUCCESS
+    //
+    // CHECK:---> piEnqueueKernelLaunch(
+    // CHECK-NEXT:<unknown> : {{.*}}
+    // CHECK-NEXT:<unknown> : [[KERNEL_HANDLE]]
+    //
+    // CHECK:---> piKernelRelease(
+    // CHECK-NEXT: <unknown> : [[KERNEL_HANDLE]]
+    // CHECK-NEXT:---> pi_result : PI_SUCCESS
+
+    sycl::buffer<int, 1> Buf(sycl::range<1>{1});
+
+    Q.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::write>(CGH);
+      CGH.use_kernel_bundle(KernelBundleExecutable);
+      CGH.single_task<Kernel3Name>([=]() { Acc[0] = 42; });
+    });
+
+    {
+      auto HostAcc = Buf.get_access<sycl::access::mode::write>();
+      assert(HostAcc[0] == 42);
+    }
+  }
+
+  {
+    // Error handling
+
+    std::cerr << "Empty list of devices for get_kernel_bundle" << std::endl;
+    checkException(
+        [&]() {
+          sycl::get_kernel_bundle<sycl::bundle_state::input>(
+              Ctx, std::vector<sycl::device>{});
+        },
+        "Not all devices are associated with the context or vector of devices "
+        "is empty");
+
+    std::cerr << "Empty list of devices for compile" << std::endl;
+    checkException(
+        [&]() {
+          sycl::kernel_bundle KernelBundleInput =
+              sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev});
+          sycl::compile(KernelBundleInput, std::vector<sycl::device>{});
+        },
+        "Not all devices are in the set of associated "
+        "devices for input bundle or vector of devices is empty");
+
+    std::cerr << "Mismatched contexts for link" << std::endl;
+    checkException(
+        [&]() {
+          sycl::kernel_bundle KernelBundleObject1 =
+              sycl::get_kernel_bundle<sycl::bundle_state::object>(Ctx, {Dev});
+
+          sycl::kernel_bundle KernelBundleObject2 =
+              sycl::get_kernel_bundle<sycl::bundle_state::object>(Ctx2, {Dev2});
+
+          sycl::link({KernelBundleObject1, KernelBundleObject2}, {Dev2});
+        },
+        "Not all input bundles have the same associated context");
+
+    std::cerr << "Empty device list for link" << std::endl;
+    checkException(
+        [&]() {
+          sycl::kernel_bundle KernelBundleObject1 =
+              sycl::get_kernel_bundle<sycl::bundle_state::object>(Ctx, {Dev});
+
+          sycl::kernel_bundle KernelBundleObject2 =
+              sycl::get_kernel_bundle<sycl::bundle_state::object>(Ctx, {Dev});
+
+          sycl::link({KernelBundleObject1, KernelBundleObject2},
+                     std::vector<sycl::device>{});
+        },
+        "Vector of devices is empty");
+
+    std::cerr << "Mismatched contexts for join" << std::endl;
+    checkException(
+        [&]() {
+          sycl::kernel_bundle KernelBundleObject1 =
+              sycl::get_kernel_bundle<sycl::bundle_state::object>(Ctx);
+
+          sycl::kernel_bundle KernelBundleObject2 =
+              sycl::get_kernel_bundle<sycl::bundle_state::object>(Ctx2);
+
+          sycl::join(
+              std::vector<sycl::kernel_bundle<sycl::bundle_state::object>>{
+                  KernelBundleObject1, KernelBundleObject2});
+        },
+        "Not all input bundles have the same associated context");
+
+    std::cerr << "Not found kernel" << std::endl;
+    checkException(
+        [&]() {
+          sycl::kernel_id Kernel3ID = sycl::get_kernel_id<Kernel3Name>();
+          sycl::kernel_bundle KernelBundleExecutable =
+              sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+                  Ctx, {Dev}, {Kernel3ID});
+
+          KernelBundleExecutable.get_kernel(Kernel1ID);
+        },
+        "The kernel bundle does not contain the kernel identified by kernelId");
+
+    std::cerr << "Empty devices for has_kernel_bundle" << std::endl;
+    checkException(
+        [&]() {
+          sycl::has_kernel_bundle<sycl::bundle_state::input>(
+              Ctx, std::vector<sycl::device>{});
+        },
+        "Not all devices are associated with the context or vector of devices "
+        "is empty");
+  }
+
+  {
+    // no duplicate devices
+    sycl::kernel_bundle KernelBundleDupTest =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev, Dev},
+                                                           {Kernel1ID});
+    assert(KernelBundleDupTest.get_devices().size() == 1);
+
+    sycl::kernel_bundle<sycl::bundle_state::object>
+        KernelBundleDupeTestCompiled =
+            sycl::compile(KernelBundleDupTest, {Dev, Dev});
+    assert(KernelBundleDupeTestCompiled.get_devices().size() == 1);
+
+    sycl::kernel_bundle<sycl::bundle_state::executable>
+        KernelBundleDupeTestLinked =
+            sycl::link({KernelBundleDupeTestCompiled}, {Dev, Dev});
+    assert(KernelBundleDupeTestLinked.get_devices().size() == 1);
+
+    sycl::kernel_bundle<sycl::bundle_state::executable>
+        KernelBundleDupeTestBuilt =
+            sycl::build(KernelBundleDupTest, {Dev, Dev});
+    assert(KernelBundleDupeTestBuilt.get_devices().size() == 1);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/kernel_info.cpp b/sycl/test-e2e/Basic/kernel_info.cpp
new file mode 100644
index 0000000000000..0703ec2d97213
--- /dev/null
+++ b/sycl/test-e2e/Basic/kernel_info.cpp
@@ -0,0 +1,65 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Fail is flaky for level_zero, enable when fixed.
+// UNSUPPORTED: level_zero
+//
+// CUDA and HIP do not currently implement global_work_size
+// UNSUPPORTED: cuda, hip
+
+//==--- kernel_info.cpp - SYCL kernel info test ----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  buffer<int, 1> buf(range<1>(1));
+  auto KernelID = sycl::get_kernel_id<class SingleTask>();
+  auto KB =
+      get_kernel_bundle<bundle_state::executable>(q.get_context(), {KernelID});
+  kernel krn = KB.get_kernel(KernelID);
+
+  q.submit([&](handler &cgh) {
+    auto acc = buf.get_access<access::mode::read_write>(cgh);
+    cgh.single_task<class SingleTask>(krn, [=]() { acc[0] = acc[0] + 1; });
+  });
+
+  const std::string krnName = krn.get_info<info::kernel::function_name>();
+  assert(!krnName.empty());
+  const cl_uint krnArgCount = krn.get_info<info::kernel::num_args>();
+  assert(krnArgCount > 0);
+  const context krnCtx = krn.get_info<info::kernel::context>();
+  assert(krnCtx == q.get_context());
+  const cl_uint krnRefCount = krn.get_info<info::kernel::reference_count>();
+  assert(krnRefCount > 0);
+  const std::string krnAttr = krn.get_info<info::kernel::attributes>();
+  assert(krnAttr.empty());
+
+  device dev = q.get_device();
+  const size_t wgSize =
+      krn.get_info<info::kernel_device_specific::work_group_size>(dev);
+  assert(wgSize > 0);
+  const size_t prefWGSizeMult = krn.get_info<
+      info::kernel_device_specific::preferred_work_group_size_multiple>(dev);
+  assert(prefWGSizeMult > 0);
+
+  try {
+    krn.get_info<sycl::info::kernel_device_specific::global_work_size>(dev);
+    assert(dev.get_info<sycl::info::device::device_type>() ==
+           sycl::info::device_type::custom);
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::invalid);
+  }
+}
diff --git a/sycl/test-e2e/Basic/library_loading.cpp b/sycl/test-e2e/Basic/library_loading.cpp
new file mode 100644
index 0000000000000..e31f2410314f8
--- /dev/null
+++ b/sycl/test-e2e/Basic/library_loading.cpp
@@ -0,0 +1,20 @@
+// REQUIRES: linux
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %t.out &> %t_trace_no_filter.txt || true
+// RUN: FileCheck --input-file=%t_trace_no_filter.txt --check-prefix=CHECK-NO-FILTER %s
+// RUN: env SYCL_PI_TRACE=-1 ONEAPI_DEVICE_SELECTOR='esimd_emulator:*' %t.out &> %t_trace_esimd_filter.txt || true
+// RUN: FileCheck --input-file=%t_trace_esimd_filter.txt --check-prefix=CHECK-ESIMD-FILTER %s
+// Checks pi traces on library loading
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  // CHECK-NO-FILTER: {{(SYCL_PI_TRACE\[-1\]: dlopen\(.*/libpi_cuda.so\) failed with)|(SYCL_PI_TRACE\[basic\]: Plugin found and successfully loaded: libpi_cuda.so)}}
+  // CHECK-NO-FILTER-NOT: {{(SYCL_PI_TRACE\[-1\]: dlopen\(.*/libpi_esimd_emulator.so\) failed with)|(SYCL_PI_TRACE\[basic\]: Plugin found and successfully loaded: libpi_esimd_emulator.so)}}
+  // CHECK-NO-FILTER: {{(SYCL_PI_TRACE\[-1\]: dlopen\(.*/libpi_hip.so\) failed with)|(SYCL_PI_TRACE\[basic\]: Plugin found and successfully loaded: libpi_hip.so)}}
+  // CHECK-ESIMD-FILTER: {{(SYCL_PI_TRACE\[-1\]: dlopen\(.*/libpi_esimd_emulator.so\) failed with)|(SYCL_PI_TRACE\[basic\]: Plugin found and successfully loaded: libpi_esimd_emulator.so)}}
+  queue q;
+  q.submit([&](handler &cgh) {});
+}
diff --git a/sycl/test-e2e/Basic/linear-sub_group.cpp b/sycl/test-e2e/Basic/linear-sub_group.cpp
new file mode 100644
index 0000000000000..9b980836b2203
--- /dev/null
+++ b/sycl/test-e2e/Basic/linear-sub_group.cpp
@@ -0,0 +1,55 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==--------------- linear-sub_group.cpp - SYCL linear id test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "../SubGroup/helper.hpp"
+#include <algorithm>
+#include <cstdio>
+#include <cstdlib>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+  queue q;
+  if (!core_sg_supported(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  // Fill output array with sub-group IDs
+  const uint32_t outer = 2;
+  const uint32_t inner = 8;
+  std::vector<int> output(outer * inner, 0);
+  {
+    buffer<int, 2> output_buf(output.data(), range<2>(outer, inner));
+    q.submit([&](handler &cgh) {
+      auto output = output_buf.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class linear_id>(
+          nd_range<2>(range<2>(outer, inner), range<2>(outer, inner)),
+          [=](nd_item<2> it) {
+            id<2> idx = it.get_global_id();
+            ext::oneapi::sub_group sg = it.get_sub_group();
+            output[idx] = sg.get_group_id()[0] * sg.get_local_range()[0] +
+                          sg.get_local_id()[0];
+          });
+    });
+  }
+
+  // Compare with expected result
+  for (int idx = 0; idx < outer * inner; ++idx) {
+    assert(output[idx] == idx);
+  }
+  std::cout << "Test passed.\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/local_mem_type.cpp b/sycl/test-e2e/Basic/local_mem_type.cpp
new file mode 100644
index 0000000000000..45d38f9edcd87
--- /dev/null
+++ b/sycl/test-e2e/Basic/local_mem_type.cpp
@@ -0,0 +1,17 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//==--------------- local_mem_type.cpp - SYCL local mem type test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  assert(device().get_info<info::device::local_mem_type>() !=
+         info::local_mem_type::none);
+}
diff --git a/sycl/test-e2e/Basic/memory-consumption.cpp b/sycl/test-e2e/Basic/memory-consumption.cpp
new file mode 100644
index 0000000000000..877707a8eca10
--- /dev/null
+++ b/sycl/test-e2e/Basic/memory-consumption.cpp
@@ -0,0 +1,67 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+// Issue #106: The test failing sporadically on OpenCL platform due to
+// processing OCL_ICD_FILENAMES debug environment variable which causes
+// extra memory allocation on device creation.
+// Issue #661: The test is failing sporadically on HIP AMD.
+// UNSUPPORTED: windows, opencl, hip_amd
+//
+//==-----memory-consumption.cpp - SYCL memory consumption basic test ------==//
+//
+// This test specifically tests that memory consumption does not change
+// when the get_devices() is called repeatedly.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "CL/sycl.hpp"
+#include <iostream>
+#include <thread>
+
+#ifdef __linux__
+#include <strings.h>
+#include <sys/resource.h>
+#include <sys/time.h>
+
+long get_cpu_mem() {
+  struct rusage usage;
+  memset(&usage, 0, sizeof(rusage));
+  getrusage(RUSAGE_SELF, &usage);
+  return usage.ru_maxrss;
+}
+#endif
+
+using namespace sycl;
+
+int main() {
+  constexpr auto dev_type = info::device_type::gpu;
+  auto devices = device::get_devices(dev_type);
+
+  int startSize = get_cpu_mem();
+  std::cout << startSize << " kb" << std::endl;
+
+  for (int i = 0; i < 1000; i++) {
+    devices = sycl::device::get_devices(dev_type);
+  }
+  int endSize = get_cpu_mem();
+  std::cout << endSize << " kb" << std::endl;
+
+  auto plat = devices[0].get_platform();
+  std::string plat_name = plat.get_info<info::platform::name>();
+  std::cout << "Platform: " << plat_name << std::endl;
+
+  devices.erase(devices.begin(), devices.end());
+
+  if (startSize == endSize) {
+    std::cout << "Passed" << std::endl;
+    return 0;
+  } else {
+    std::cout << "Failed" << std::endl;
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/Basic/multi_ptr.cpp b/sycl/test-e2e/Basic/multi_ptr.cpp
new file mode 100644
index 0000000000000..20fccfefc3b11
--- /dev/null
+++ b/sycl/test-e2e/Basic/multi_ptr.cpp
@@ -0,0 +1,14 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- multi_ptr.cpp - SYCL multi_ptr test --------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "multi_ptr.hpp"
diff --git a/sycl/test-e2e/Basic/multi_ptr.hpp b/sycl/test-e2e/Basic/multi_ptr.hpp
new file mode 100644
index 0000000000000..889f9c089031d
--- /dev/null
+++ b/sycl/test-e2e/Basic/multi_ptr.hpp
@@ -0,0 +1,256 @@
+//==------------ multi_ptr.cpp - SYCL multi_ptr test header ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+
+using namespace sycl;
+
+/* This is the class used to name the kernel for the runtime.
+ * This must be done when the kernel is expressed as a lambda. */
+template <typename T, access::decorated IsDecorated> class testMultPtrKernel;
+template <typename T, access::decorated IsDecorated>
+class testMultPtrArrowOperatorKernel;
+
+template <typename T> struct point {
+  point(const point &rhs) = default;
+  point(T x, T y) : x(x), y(y) {}
+  point(T v) : x(v), y(v) {}
+  point() : x(0), y(0) {}
+  bool operator==(const T &rhs) { return rhs == x && rhs == y; }
+  bool operator==(const point<T> &rhs) { return rhs.x == x && rhs.y == y; }
+  T x;
+  T y;
+};
+
+template <typename T, access::decorated IsDecorated>
+void innerFunc(id<1> wiID, global_ptr<T, IsDecorated> ptr_1,
+               global_ptr<T, IsDecorated> ptr_2,
+               global_ptr<T, IsDecorated> ptr_3,
+               global_ptr<T, IsDecorated> ptr_4,
+               global_ptr<T, IsDecorated> ptr_5,
+               local_ptr<T, IsDecorated> local_ptr,
+               private_ptr<T, IsDecorated> priv_ptr) {
+  T t = ptr_1[wiID.get(0)];
+
+  // Write to ptr_2 using local_ptr subscript.
+  local_ptr[wiID.get(0)] = t;
+  ptr_2[wiID.get(0)] = local_ptr[wiID.get(0)];
+
+  // Reset local ptr
+  local_ptr[wiID.get(0)] = 0;
+
+  // Write to ptr_3 using dereferencing.
+  *(local_ptr + wiID.get(0)) = t;
+  *(ptr_3 + wiID.get(0)) = *(local_ptr + wiID.get(0));
+
+  // Write to ptr_2 using priv_ptr subscript.
+  priv_ptr[wiID.get(0)] = t;
+  ptr_4[wiID.get(0)] = priv_ptr[wiID.get(0)];
+
+  // Reset local ptr
+  priv_ptr[wiID.get(0)] = 0;
+
+  // Write to ptr_3 using dereferencing.
+  *(priv_ptr + wiID.get(0)) = t;
+  *(ptr_5 + wiID.get(0)) = *(priv_ptr + wiID.get(0));
+}
+
+template <typename T, access::decorated IsDecorated> void testMultPtr() {
+  T data_1[10];
+  T data_2[10];
+  T data_3[10];
+  T data_4[10];
+  T data_5[10];
+  for (size_t i = 0; i < 10; ++i) {
+    data_1[i] = 1;
+    data_2[i] = 2;
+    data_3[i] = 3;
+    data_4[i] = 4;
+    data_5[i] = 5;
+  }
+
+  {
+    range<1> numOfItems{10};
+    buffer<T, 1> bufferData_1(data_1, numOfItems);
+    buffer<T, 1> bufferData_2(data_2, numOfItems);
+    buffer<T, 1> bufferData_3(data_3, numOfItems);
+    buffer<T, 1> bufferData_4(data_4, numOfItems);
+    buffer<T, 1> bufferData_5(data_5, numOfItems);
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      accessor<T, 1, access::mode::read, access::target::device,
+               access::placeholder::false_t>
+          accessorData_1(bufferData_1, cgh);
+      accessor<T, 1, access::mode::read_write, access::target::device,
+               access::placeholder::false_t>
+          accessorData_2(bufferData_2, cgh);
+      accessor<T, 1, access::mode::read_write, access::target::device,
+               access::placeholder::false_t>
+          accessorData_3(bufferData_3, cgh);
+      accessor<T, 1, access::mode::read_write, access::target::device,
+               access::placeholder::false_t>
+          accessorData_4(bufferData_4, cgh);
+      accessor<T, 1, access::mode::read_write, access::target::device,
+               access::placeholder::false_t>
+          accessorData_5(bufferData_5, cgh);
+      local_accessor<T, 1> localAccessor(numOfItems, cgh);
+
+      cgh.parallel_for<class testMultPtrKernel<
+          T, IsDecorated>>(range<1>{10}, [=](id<1> wiID) {
+        T private_data[10];
+        for (size_t i = 0; i < 10; ++i)
+          private_data[i] = 0;
+        localAccessor[wiID] = 0;
+
+        auto ptr_1 =
+            multi_ptr<T, access::address_space::global_space, IsDecorated>(
+                accessorData_1);
+        auto ptr_2 =
+            multi_ptr<T, access::address_space::global_space, IsDecorated>(
+                accessorData_2);
+        auto ptr_3 =
+            multi_ptr<T, access::address_space::global_space, IsDecorated>(
+                accessorData_3);
+        auto ptr_4 =
+            multi_ptr<T, access::address_space::global_space, IsDecorated>(
+                accessorData_4);
+        auto ptr_5 =
+            multi_ptr<T, access::address_space::global_space, IsDecorated>(
+                accessorData_5);
+        auto local_ptr =
+            multi_ptr<T, access::address_space::local_space, IsDecorated>(
+                localAccessor);
+        auto priv_ptr = address_space_cast<access::address_space::private_space,
+                                           IsDecorated>(private_data);
+        static_assert(
+            std::is_same_v<private_ptr<T, IsDecorated>, decltype(priv_ptr)>,
+            "Incorrect type for priv_ptr.");
+
+        // Construct extension pointer from accessors.
+        auto dev_ptr =
+            multi_ptr<T, access::address_space::ext_intel_global_device_space,
+                      IsDecorated>(accessorData_1);
+        static_assert(std::is_same_v<ext::intel::device_ptr<T, IsDecorated>,
+                                     decltype(dev_ptr)>,
+                      "Incorrect type for dev_ptr.");
+
+        // General conversions in multi_ptr class
+        T *RawPtr = nullptr;
+        global_ptr<T, IsDecorated> ptr_6 =
+            address_space_cast<access::address_space::global_space,
+                               IsDecorated>(RawPtr);
+
+        global_ptr<T, IsDecorated> ptr_7(accessorData_1);
+
+        global_ptr<void, IsDecorated> ptr_8 =
+            address_space_cast<access::address_space::global_space,
+                               IsDecorated>((void *)RawPtr);
+
+        // Explicit conversions for device_ptr/host_ptr to global_ptr
+        ext::intel::device_ptr<void, IsDecorated> ptr_9 = address_space_cast<
+            access::address_space::ext_intel_global_device_space, IsDecorated>(
+            (void *)RawPtr);
+        global_ptr<void, IsDecorated> ptr_10 =
+            global_ptr<void, IsDecorated>(ptr_9);
+        ext::intel::host_ptr<void, IsDecorated> ptr_11 = address_space_cast<
+            access::address_space::ext_intel_global_host_space, IsDecorated>(
+            (void *)RawPtr);
+        global_ptr<void, IsDecorated> ptr_12 =
+            global_ptr<void, IsDecorated>(ptr_11);
+
+        innerFunc<T, IsDecorated>(wiID.get(0), ptr_1, ptr_2, ptr_3, ptr_4,
+                                  ptr_5, local_ptr, priv_ptr);
+      });
+    });
+  }
+  for (size_t i = 0; i < 10; ++i) {
+    assert(data_1[i] == 1 && "Expected data_1[i] == 1");
+    assert(data_2[i] == 1 && "Expected data_2[i] == 1");
+    assert(data_3[i] == 1 && "Expected data_3[i] == 1");
+    assert(data_4[i] == 1 && "Expected data_4[i] == 1");
+    assert(data_5[i] == 1 && "Expected data_5[i] == 1");
+  }
+}
+
+template <typename T, access::decorated IsDecorated>
+void testMultPtrArrowOperator() {
+  point<T> data_1[1] = {1};
+  point<T> data_2[1] = {2};
+  point<T> data_3[1] = {3};
+
+  {
+    range<1> numOfItems{1};
+    buffer<point<T>, 1> bufferData_1(data_1, numOfItems);
+    buffer<point<T>, 1> bufferData_2(data_2, numOfItems);
+    buffer<point<T>, 1> bufferData_3(data_3, numOfItems);
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      accessor<point<T>, 1, access::mode::read, access::target::device,
+               access::placeholder::false_t>
+          accessorData_1(bufferData_1, cgh);
+      local_accessor<point<T>, 1> accessorData_2(1, cgh);
+      accessor<point<T>, 1, access::mode::read, access::target::device,
+               access::placeholder::false_t>
+          accessorData_3(bufferData_3, cgh);
+
+      cgh.single_task<class testMultPtrArrowOperatorKernel<T, IsDecorated>>(
+          [=]() {
+            point<T> private_val = 0;
+
+            auto ptr_1 =
+                multi_ptr<point<T>, access::address_space::global_space,
+                          IsDecorated>(accessorData_1);
+            auto ptr_2 = multi_ptr<point<T>, access::address_space::local_space,
+                                   IsDecorated>(accessorData_2);
+            auto ptr_3 =
+                multi_ptr<point<T>,
+                          access::address_space::ext_intel_global_device_space,
+                          IsDecorated>(accessorData_3);
+            auto ptr_4 =
+                address_space_cast<access::address_space::private_space,
+                                   IsDecorated>(&private_val);
+            static_assert(std::is_same_v<private_ptr<point<T>, IsDecorated>,
+                                         decltype(ptr_4)>,
+                          "Incorrect type for ptr_4.");
+
+            auto x1 = ptr_1->x;
+            auto x2 = ptr_2->x;
+            auto x3 = ptr_3->x;
+            auto x4 = ptr_4->x;
+
+            static_assert(std::is_same<decltype(x1), T>::value,
+                          "Expected decltype(ptr_1->x) == T");
+            static_assert(std::is_same<decltype(x2), T>::value,
+                          "Expected decltype(ptr_2->x) == T");
+            static_assert(std::is_same<decltype(x3), T>::value,
+                          "Expected decltype(ptr_3->x) == T");
+            static_assert(std::is_same<decltype(x4), T>::value,
+                          "Expected decltype(ptr_4->x) == T");
+          });
+    });
+  }
+}
+
+template <access::decorated IsDecorated> void runTestsForDecoration() {
+  testMultPtr<int, IsDecorated>();
+  testMultPtr<float, IsDecorated>();
+  testMultPtr<point<int>, IsDecorated>();
+  testMultPtr<point<float>, IsDecorated>();
+
+  testMultPtrArrowOperator<int, IsDecorated>();
+  testMultPtrArrowOperator<float, IsDecorated>();
+}
+
+int main() {
+  runTestsForDecoration<access::decorated::yes>();
+  runTestsForDecoration<access::decorated::no>();
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/multi_ptr_legacy.cpp b/sycl/test-e2e/Basic/multi_ptr_legacy.cpp
new file mode 100644
index 0000000000000..caadef7630107
--- /dev/null
+++ b/sycl/test-e2e/Basic/multi_ptr_legacy.cpp
@@ -0,0 +1,18 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %clangxx -DRESTRICT_WRITE_ACCESS_TO_CONSTANT_PTR -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==-------- multi_ptr_legacy.cpp - SYCL multi_ptr legacy test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "multi_ptr_legacy.hpp"
diff --git a/sycl/test-e2e/Basic/multi_ptr_legacy.hpp b/sycl/test-e2e/Basic/multi_ptr_legacy.hpp
new file mode 100644
index 0000000000000..979c9b7f6c1dc
--- /dev/null
+++ b/sycl/test-e2e/Basic/multi_ptr_legacy.hpp
@@ -0,0 +1,187 @@
+//==------- multi_ptr_legacy.hpp - SYCL multi_ptr legacy test header -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+
+using namespace sycl;
+
+/* This is the class used to name the kernel for the runtime.
+ * This must be done when the kernel is expressed as a lambda. */
+template <typename T> class testMultPtrKernel;
+template <typename T> class testMultPtrArrowOperatorKernel;
+
+template <typename T> struct point {
+  point(const point &rhs) = default;
+  point(T x, T y) : x(x), y(y) {}
+  point(T v) : x(v), y(v) {}
+  point() : x(0), y(0) {}
+  bool operator==(const T &rhs) { return rhs == x && rhs == y; }
+  bool operator==(const point<T> &rhs) { return rhs.x == x && rhs.y == y; }
+  T x;
+  T y;
+};
+
+template <typename T>
+void innerFunc(id<1> wiID, global_ptr<T> ptr_1, global_ptr<T> ptr_2,
+               local_ptr<T> local_ptr) {
+  T t = ptr_1[wiID.get(0)];
+  local_ptr[wiID.get(0)] = t;
+  t = local_ptr[wiID.get(0)];
+  ptr_2[wiID.get(0)] = t;
+}
+
+template <typename T> void testMultPtr() {
+  T data_1[10];
+  for (size_t i = 0; i < 10; ++i) {
+    data_1[i] = 1;
+  }
+  T data_2[10];
+  for (size_t i = 0; i < 10; ++i) {
+    data_2[i] = 2;
+  }
+
+  {
+    range<1> numOfItems{10};
+    buffer<T, 1> bufferData_1(data_1, numOfItems);
+    buffer<T, 1> bufferData_2(data_2, numOfItems);
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      accessor<T, 1, access::mode::read, access::target::device,
+               access::placeholder::false_t>
+          accessorData_1(bufferData_1, cgh);
+      accessor<T, 1, access::mode::read_write, access::target::device,
+               access::placeholder::false_t>
+          accessorData_2(bufferData_2, cgh);
+      local_accessor<T, 1> localAccessor(numOfItems, cgh);
+
+      cgh.parallel_for<class testMultPtrKernel<T>>(range<1>{10}, [=](id<1>
+                                                                         wiID) {
+        auto ptr_1 =
+            make_ptr<T, access::address_space::global_space,
+                     access::decorated::legacy>(accessorData_1.get_pointer());
+        auto ptr_2 =
+            make_ptr<T, access::address_space::global_space,
+                     access::decorated::legacy>(accessorData_2.get_pointer());
+        auto local_ptr =
+            make_ptr<T, access::address_space::local_space,
+                     access::decorated::legacy>(localAccessor.get_pointer());
+
+        // Construct extension pointer from accessors.
+        auto dev_ptr =
+            multi_ptr<T, access::address_space::ext_intel_global_device_space>(
+                accessorData_1);
+        static_assert(
+            std::is_same_v<ext::intel::device_ptr<T>, decltype(dev_ptr)>,
+            "Incorrect type for dev_ptr.");
+
+        // General conversions in multi_ptr class
+        T *RawPtr = nullptr;
+        global_ptr<T> ptr_4(RawPtr);
+        ptr_4 = RawPtr;
+
+        global_ptr<T> ptr_5(accessorData_1);
+
+        global_ptr<void> ptr_6((void *)RawPtr);
+
+        ptr_6 = (void *)RawPtr;
+
+        // Explicit conversions for device_ptr/host_ptr to global_ptr
+        ext::intel::device_ptr<void> ptr_7((void *)RawPtr);
+        global_ptr<void> ptr_8 = global_ptr<void>(ptr_7);
+        ext::intel::host_ptr<void> ptr_9((void *)RawPtr);
+        global_ptr<void> ptr_10 = global_ptr<void>(ptr_9);
+        // TODO: need propagation of a7b763b26 patch to acl tool before
+        // testing these conversions - otherwise the test would fail on
+        // accelerator device during reversed translation from SPIR-V to
+        // LLVM IR device_ptr<T> ptr_11(accessorData_1); global_ptr<T>
+        // ptr_12 = global_ptr<T>(ptr_11);
+
+        innerFunc<T>(wiID.get(0), ptr_1, ptr_2, local_ptr);
+      });
+    });
+  }
+  for (size_t i = 0; i < 10; ++i) {
+    assert(data_1[i] == 1 && "Expected data_1[i] == 1");
+  }
+  for (size_t i = 0; i < 10; ++i) {
+    assert(data_2[i] == 1 && "Expected data_2[i] == 1");
+  }
+}
+
+template <typename T> void testMultPtrArrowOperator() {
+  point<T> data_1[1] = {1};
+  point<T> data_2[1] = {2};
+  point<T> data_3[1] = {3};
+  point<T> data_4[1] = {4};
+
+  {
+    range<1> numOfItems{1};
+    buffer<point<T>, 1> bufferData_1(data_1, numOfItems);
+    buffer<point<T>, 1> bufferData_2(data_2, numOfItems);
+    buffer<point<T>, 1> bufferData_3(data_3, numOfItems);
+    buffer<point<T>, 1> bufferData_4(data_4, numOfItems);
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      accessor<point<T>, 1, access::mode::read, access::target::device,
+               access::placeholder::false_t>
+          accessorData_1(bufferData_1, cgh);
+      accessor<point<T>, 1, access::mode::read, access::target::constant_buffer,
+               access::placeholder::false_t>
+          accessorData_2(bufferData_2, cgh);
+      local_accessor<point<T>, 1> accessorData_3(1, cgh);
+      accessor<point<T>, 1, access::mode::read, access::target::device,
+               access::placeholder::false_t>
+          accessorData_4(bufferData_4, cgh);
+
+      cgh.single_task<class testMultPtrArrowOperatorKernel<T>>([=]() {
+        auto ptr_1 =
+            make_ptr<point<T>, access::address_space::global_space,
+                     access::decorated::legacy>(accessorData_1.get_pointer());
+        auto ptr_2 =
+            make_ptr<point<T>, access::address_space::constant_space,
+                     access::decorated::legacy>(accessorData_2.get_pointer());
+        auto ptr_3 =
+            make_ptr<point<T>, access::address_space::local_space,
+                     access::decorated::legacy>(accessorData_3.get_pointer());
+        auto ptr_4 =
+            make_ptr<point<T>,
+                     access::address_space::ext_intel_global_device_space,
+                     access::decorated::legacy>(accessorData_4.get_pointer());
+
+        auto x1 = ptr_1->x;
+        auto x2 = ptr_2->x;
+        auto x3 = ptr_3->x;
+        auto x4 = ptr_4->x;
+
+        static_assert(std::is_same<decltype(x1), T>::value,
+                      "Expected decltype(ptr_1->x) == T");
+        static_assert(std::is_same<decltype(x2), T>::value,
+                      "Expected decltype(ptr_2->x) == T");
+        static_assert(std::is_same<decltype(x3), T>::value,
+                      "Expected decltype(ptr_3->x) == T");
+        static_assert(std::is_same<decltype(x4), T>::value,
+                      "Expected decltype(ptr_4->x) == T");
+      });
+    });
+  }
+}
+
+int main() {
+  testMultPtr<int>();
+  testMultPtr<float>();
+  testMultPtr<point<int>>();
+  testMultPtr<point<float>>();
+
+  testMultPtrArrowOperator<int>();
+  testMultPtrArrowOperator<float>();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/multi_ptr_legacy_usm_addr_ext.cpp b/sycl/test-e2e/Basic/multi_ptr_legacy_usm_addr_ext.cpp
new file mode 100644
index 0000000000000..cdd6fdc82d355
--- /dev/null
+++ b/sycl/test-e2e/Basic/multi_ptr_legacy_usm_addr_ext.cpp
@@ -0,0 +1,14 @@
+// RUN: %clangxx -D__ENABLE_USM_ADDR_SPACE__ -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %clangxx -D__ENABLE_USM_ADDR_SPACE__ -DRESTRICT_WRITE_ACCESS_TO_CONSTANT_PTR -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==-- multi_ptr_legacy_usm_addr_ext.cpp - SYCL multi_ptr legacy test ext --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "multi_ptr_legacy.hpp"
diff --git a/sycl/test-e2e/Basic/multi_ptr_usm_addr_ext.cpp b/sycl/test-e2e/Basic/multi_ptr_usm_addr_ext.cpp
new file mode 100644
index 0000000000000..a15ccaa49e54e
--- /dev/null
+++ b/sycl/test-e2e/Basic/multi_ptr_usm_addr_ext.cpp
@@ -0,0 +1,12 @@
+// RUN: %clangxx -D__ENABLE_USM_ADDR_SPACE__ -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==----- multi_ptr_usm_addr_ext.cpp - SYCL multi_ptr test with usm ext ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "multi_ptr.hpp"
diff --git a/sycl/test-e2e/Basic/multisource.cpp b/sycl/test-e2e/Basic/multisource.cpp
new file mode 100644
index 0000000000000..ddf486eb4c44c
--- /dev/null
+++ b/sycl/test-e2e/Basic/multisource.cpp
@@ -0,0 +1,88 @@
+//==--------------- multisource.cpp ----------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// Separate kernel sources and host code sources
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -c -o %t.kernel.o %s -DINIT_KERNEL -DCALC_KERNEL
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -c -o %t.main.o %s -DMAIN_APP
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %t.kernel.o %t.main.o -o %t.fat
+// RUN: %CPU_RUN_PLACEHOLDER %t.fat
+// RUN: %GPU_RUN_PLACEHOLDER %t.fat
+// RUN: %ACC_RUN_PLACEHOLDER %t.fat
+
+// Multiple sources with kernel code
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -c -o %t.init.o %s -DINIT_KERNEL
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -c -o %t.calc.o %s -DCALC_KERNEL
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -c -o %t.main.o %s -DMAIN_APP
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %t.init.o %t.calc.o %t.main.o -o %t.fat
+// RUN: %CPU_RUN_PLACEHOLDER %t.fat
+// RUN: %GPU_RUN_PLACEHOLDER %t.fat
+// RUN: %ACC_RUN_PLACEHOLDER %t.fat
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+#ifdef MAIN_APP
+void init_buf(queue &q, buffer<int, 1> &b, range<1> &r, int i);
+#elif INIT_KERNEL
+void init_buf(queue &q, buffer<int, 1> &b, range<1> &r, int i) {
+  q.submit([&](handler &cgh) {
+    auto B = b.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class init>(r, [=](id<1> index) { B[index] = i; });
+  });
+}
+#endif
+
+#ifdef MAIN_APP
+void calc_buf(queue &q, buffer<int, 1> &a, buffer<int, 1> &b, buffer<int, 1> &c,
+              range<1> &r);
+#elif CALC_KERNEL
+void calc_buf(queue &q, buffer<int, 1> &a, buffer<int, 1> &b, buffer<int, 1> &c,
+              range<1> &r) {
+  q.submit([&](handler &cgh) {
+    auto A = a.get_access<access::mode::read>(cgh);
+    auto B = b.get_access<access::mode::read>(cgh);
+    auto C = c.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class calc>(
+        r, [=](id<1> index) { C[index] = A[index] - B[index]; });
+  });
+}
+#endif
+
+#ifdef MAIN_APP
+const size_t N = 100;
+int main() {
+  {
+    queue q;
+
+    range<1> r(N);
+    buffer<int, 1> a(r);
+    buffer<int, 1> b(r);
+    buffer<int, 1> c(r);
+
+    init_buf(q, a, r, 2);
+    init_buf(q, b, r, 1);
+
+    calc_buf(q, a, b, c, r);
+
+    auto C = c.get_access<access::mode::read>();
+    for (size_t i = 0; i < N; i++) {
+      if (C[i] != 1) {
+        std::cout << "Wrong value " << C[i] << " for element " << i
+                  << std::endl;
+        return -1;
+      }
+    }
+  }
+
+  std::cout << "Done!" << std::endl;
+  return 0;
+}
+#endif
diff --git a/sycl/test-e2e/Basic/offset-accessor-get_pointer.cpp b/sycl/test-e2e/Basic/offset-accessor-get_pointer.cpp
new file mode 100644
index 0000000000000..c3e1352c1850e
--- /dev/null
+++ b/sycl/test-e2e/Basic/offset-accessor-get_pointer.cpp
@@ -0,0 +1,115 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Per the SYCL 2020 spec (4.7.6.12 and others)
+// accessor::get_pointer() returns a pointer to the start of this accessor’s
+// memory. For a buffer accessor this is a pointer to the start of the
+// underlying buffer, even if this is a ranged accessor whose range does not
+// start at the beginning of the buffer.
+
+// This is a departure from how get_pointer() was interpreted with offset
+// accessors in the past. Not relevant for images, which do not support offset
+// accessors.
+
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+
+void test_across_ranges() {
+  constexpr auto r_w = access::mode::read_write;
+  constexpr unsigned long width = 4;
+  constexpr unsigned long count = width * width;
+  constexpr unsigned long count3D = width * width * width; // 64
+  std::vector<int> v1(count);                              // for 1D testing.
+  std::vector<int> v2(count);                              // for 2D testing.
+  std::vector<int> v3(count3D);                            // 3D
+
+  range<1> range_1D(count);
+  range<2> range_2D(width, width);
+  range<3> range_3D(width, width, width);
+
+  queue myQueue;
+  {
+    // 1D, 2D, 3D
+    buffer<int> buf_1D(v1.data(), count);
+    buffer<int, 2> buf_2D(v2.data(), range_2D);
+    buffer<int, 3> buf_3D(v3.data(), range_3D);
+
+    myQueue.submit([&](handler &cgh) {
+      auto acc_1D = buf_1D.get_access<r_w>(cgh, {2}, {10});
+      auto acc_2D = buf_2D.get_access<r_w>(cgh, {2, 2}, {1, 1});
+      auto acc_3D = buf_3D.get_access<r_w>(cgh, {2, 2, 2}, {1, 1, 1});
+      cgh.single_task<class task>([=] {
+        acc_1D.get_pointer()[0] = 5; // s.b. offset 0
+        acc_1D[0] = 15;              // s.b. offset 10
+
+        // 2D
+        acc_2D.get_pointer()[0] = 7; // s.b. offset 0
+        acc_2D[{0, 0}] = 17;         // s.b. offset {1,1} aka 5 if linear.
+
+        // 3D
+        acc_3D.get_pointer()[0] = 9; // s.b. offset 0
+        acc_3D[{0, 0, 0}] = 19;      // s.b. offset {1,1,1} aka 21 if linear.
+      });
+    });
+    myQueue.wait();
+    // now host access - we offset by one more than the device test
+    auto acc_1D = buf_1D.get_access<r_w>({2}, {11});
+    auto acc_2D = buf_2D.get_access<r_w>({2, 2}, {1, 2});
+    auto acc_3D = buf_3D.get_access<r_w>({2, 2, 2}, {1, 1, 2});
+    acc_1D.get_pointer()[1] = 4; // s.b. offset 1
+    acc_1D[0] = 14;              // s.b. offset 11
+
+    // 2D
+    acc_2D.get_pointer()[1] = 6; // s.b. offset 1
+    acc_2D[{0, 0}] = 16;         // s.b. offset {1,2} aka 6 if linear.
+
+    // 3D
+    acc_3D.get_pointer()[1] = 8; // s.b. offset 1
+    acc_3D[{0, 0, 0}] = 18;      // s.b. offset {1,1,2} aka 22 if linear.
+  }                              //~buffer
+  // always nice to have some feedback
+  std::cout << "DEVICE" << std::endl;
+  std::cout << "1D CHECK:  v1[0] should be 5: " << v1[0]
+            << ", and v1[10] s.b. 15: " << v1[10] << std::endl;
+  std::cout << "2D CHECK:  v2[0] should be 7: " << v2[0]
+            << ", and v2[5]  s.b. 17: " << v2[5] << std::endl;
+  std::cout << "3D CHECK:  v3[0] should be 9: " << v3[0]
+            << ", and v3[21] s.b. 19: " << v3[21] << std::endl
+            << std::endl;
+
+  std::cout << "HOST" << std::endl;
+  std::cout << "1D CHECK:  v1[1] should be 4: " << v1[1]
+            << ", and v1[11] s.b. 14: " << v1[11] << std::endl;
+  std::cout << "2D CHECK:  v2[1] should be 6: " << v2[1]
+            << ", and v2[6]  s.b. 16: " << v2[6] << std::endl;
+  std::cout << "3D CHECK:  v3[1] should be 8: " << v3[1]
+            << ", and v3[22] s.b. 17: " << v3[22] << std::endl
+            << std::endl;
+
+  // device
+  assert(v1[0] == 5);
+  assert(v1[10] == 15);
+  assert(v2[0] == 7);
+  assert(v2[5] == 17); // offset {1,1} in a 4x4 field is linear offset 5
+  assert(v3[0] == 9);
+  assert(v3[21] == 19); // offset {1,1,1} in a 4x4x4 field is linear offset 21
+
+  // host
+  assert(v1[1] == 4);
+  assert(v1[11] == 14);
+  assert(v2[1] == 6);
+  assert(v2[6] == 16); // offset {1,2} in a 4x4 field is linear offset 6
+  assert(v3[1] == 8);
+  assert(v3[22] == 18); // offset {1,1,2} in a 4x4x4 field is linear offset 22
+}
+
+int main() {
+  test_across_ranges();
+
+  std::cout << "OK!" << std::endl;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/out_of_order_queue_status.cpp b/sycl/test-e2e/Basic/out_of_order_queue_status.cpp
new file mode 100644
index 0000000000000..7d3a330d9da05
--- /dev/null
+++ b/sycl/test-e2e/Basic/out_of_order_queue_status.cpp
@@ -0,0 +1,81 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Test checks that queue::ext_oneapi_empty() returns status of the out-of-order
+// queue.
+
+#include <chrono>
+#include <sycl.hpp>
+#include <thread>
+
+static void CheckArray(int *x, size_t buffer_size, int expected) {
+  for (size_t i = 0; i < buffer_size; ++i) {
+    assert(x[i] == expected);
+  }
+}
+
+using namespace sycl;
+
+void TestFunc(queue &Q) {
+  static constexpr int Size = 100;
+
+  assert(Q.ext_oneapi_empty() && "Queue is expected to be empty");
+
+  int *X = malloc_host<int>(Size, Q);
+  int *Y = malloc_host<int>(Size, Q);
+
+  auto FillEv = Q.fill(X, 99, Size);
+  auto HostEv = Q.submit([&](handler &CGH) {
+    CGH.depends_on(FillEv);
+    auto HostTask = [=] {
+      for (int I = 0; I < Size; I++)
+        X[I] += 1;
+    };
+    CGH.host_task(HostTask);
+  });
+  auto MemCpyEv = Q.copy(X, Y, Size, {HostEv});
+  constexpr int NumIter = 5;
+  for (int I = 0; I < NumIter; I++) {
+    Q.submit([&](handler &CGH) {
+      CGH.depends_on(MemCpyEv);
+      CGH.parallel_for<class Kernel1>(
+          sycl::range<1>(Size / NumIter),
+          [=](sycl::id<1> WI) { Y[WI + I * Size / NumIter] *= 2; });
+    });
+  }
+
+  // Wait a bit to give a chance for tasks to complete.
+  std::this_thread::sleep_for(std::chrono::milliseconds(500));
+
+  // We expect that all submitted tasks are finished if ext_oneapi_empty is
+  // true.
+  if (Q.ext_oneapi_empty())
+    CheckArray(Y, Size, 200);
+
+  Q.wait();
+
+  // After synchronization queue must be empty.
+  assert(Q.ext_oneapi_empty() && "Queue is expected to be empty");
+
+  free(X, Q);
+  free(Y, Q);
+}
+
+int main() {
+  queue Q;
+
+  bool ExceptionThrown = false;
+  try {
+    TestFunc(Q);
+  } catch (sycl::exception &E) {
+    ExceptionThrown = true;
+  }
+
+  // Feature is not supported for OpenCL, exception must be thrown.
+  if (Q.get_device().get_backend() == backend::opencl)
+    return ExceptionThrown ? 0 : -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/parallel_for_disable_range_roundup.cpp b/sycl/test-e2e/Basic/parallel_for_disable_range_roundup.cpp
new file mode 100755
index 0000000000000..6c04e61f7fe46
--- /dev/null
+++ b/sycl/test-e2e/Basic/parallel_for_disable_range_roundup.cpp
@@ -0,0 +1,63 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_DISABLE_PARALLEL_FOR_RANGE_ROUNDING__ %s -o %t.out
+
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_PARALLEL_FOR_RANGE_ROUNDING_TRACE=1 %t.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-DISABLED
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -sycl-std=2017 %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_PARALLEL_FOR_RANGE_ROUNDING_TRACE=1 %t.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-DISABLED
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -sycl-std=2020 %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_PARALLEL_FOR_RANGE_ROUNDING_TRACE=1 %t.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-ENABLED
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+range<1> Range1 = {0};
+
+void check(const char *msg, size_t v, size_t ref) {
+  std::cout << msg << v << std::endl;
+  assert(v == ref);
+}
+
+int try_rounding_off(size_t size) {
+  range<1> Size{size};
+  int Counter = 0;
+  {
+    buffer<range<1>, 1> BufRange(&Range1, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    std::cout << "Run parallel_for" << std::endl;
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_item1>(Size, [=](item<1> ITEM) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0] = ITEM.get_range(0);
+      });
+    });
+    myQueue.wait();
+  }
+  check("Size seen by user = ", Range1.get(0), size);
+  check("Counter = ", Counter, size);
+  return 0;
+}
+
+int main() {
+  int x;
+
+  x = 1500;
+  try_rounding_off(x);
+
+  return 0;
+}
+
+// CHECK-DISABLED:  Run parallel_for
+// CHECK-DISABLED-NOT: parallel_for range adjusted from 1500
+// CHECK-DISABLED:  Size seen by user = 1500
+// CHECK-DISABLED-NEXT:  Counter = 1500
+
+// CHECK-ENABLED:  Run parallel_for
+// CHECK-ENABLED-NEXT: parallel_for range adjusted from 1500
+// CHECK-ENABLED-NEXT:  Size seen by user = 1500
+// CHECK-ENABLED-NEXT:  Counter = 1500
diff --git a/sycl/test-e2e/Basic/parallel_for_indexers.cpp b/sycl/test-e2e/Basic/parallel_for_indexers.cpp
new file mode 100644
index 0000000000000..ab4d391a42580
--- /dev/null
+++ b/sycl/test-e2e/Basic/parallel_for_indexers.cpp
@@ -0,0 +1,135 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t2.out
+// RUN: %CPU_RUN_PLACEHOLDER %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+// RUN: %ACC_RUN_PLACEHOLDER %t2.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <memory>
+
+using namespace sycl;
+
+// TODO add cases with dimensions more than 1
+int main() {
+  // Id indexer
+  {
+    std::vector<int> data(10, -1);
+    const range<1> globalRange(6);
+    {
+      buffer<int, 1> b(data.data(), range<1>(10),
+                       {property::buffer::use_host_ptr()});
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class id1>(globalRange,
+                                    [=](id<1> index) { B[index] = index[0]; });
+      });
+    }
+    for (int i = 0; i < data.size(); i++) {
+      const int id = data[i];
+      if (i < globalRange[0]) {
+        assert(id == i);
+      } else {
+        assert(id == -1);
+      }
+    }
+  }
+  // Item indexer without offset
+  {
+    std::vector<int2> data(10, int2{-1});
+    const range<1> globalRange(6);
+    {
+      buffer<int2, 1> b(data.data(), range<1>(10),
+                        {property::buffer::use_host_ptr()});
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class item1_nooffset>(
+            globalRange, [=](item<1, false> index) {
+              B[index.get_id()] = int2{index.get_id()[0], index.get_range()[0]};
+            });
+      });
+    }
+    for (int i = 0; i < data.size(); i++) {
+      const int id = data[i].s0();
+      const int range = data[i].s1();
+      if (i < globalRange[0]) {
+        assert(id == i);
+        assert(range == globalRange[0]);
+      } else {
+        assert(id == -1);
+        assert(range == -1);
+      }
+    }
+  }
+  // Item indexer with offset
+  {
+    std::vector<int3> data(10, int3{-1});
+    const range<1> globalRange(6);
+    const id<1> globalOffset(4);
+    {
+      buffer<int3, 1> b(data.data(), range<1>(10),
+                        {property::buffer::use_host_ptr()});
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class item1_offset>(
+            globalRange, globalOffset, [=](item<1> index) {
+              B[index.get_id()] = int3{index.get_id()[0], index.get_range()[0],
+                                       index.get_offset()[0]};
+            });
+      });
+    }
+    for (int i = 0; i < data.size(); i++) {
+      const int id = data[i].s0();
+      const int range = data[i].s1();
+      const int offset = data[i].s2();
+      if (i < globalOffset[0]) {
+        assert(id == -1);
+        assert(range == -1);
+        assert(offset == -1);
+      } else {
+        assert(id == i);
+        assert(range == globalRange[0]);
+        assert(offset == globalOffset[0]);
+      }
+    }
+  }
+  // ND_Item indexer
+  {
+    std::vector<int3> data(10, int3{-1});
+    const range<1> globalRange(6);
+    const range<1> localRange(3);
+    const id<1> globalOffset(4);
+    const nd_range<1> ndRange(globalRange, localRange, globalOffset);
+    {
+      buffer<int3, 1> b(data.data(), range<1>(10),
+                        {property::buffer::use_host_ptr()});
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class item1_nd_range>(ndRange, [=](nd_item<1> index) {
+          B[index.get_global_id()] =
+              int3{index.get_global_id()[0], index.get_global_range()[0],
+                   index.get_offset()[0]};
+        });
+      });
+    }
+    for (int i = 0; i < data.size(); i++) {
+      const int id = data[i].s0();
+      const int range = data[i].s1();
+      const int offset = data[i].s2();
+      if (i < globalOffset[0]) {
+        assert(id == -1);
+        assert(range == -1);
+        assert(offset == -1);
+      } else {
+        assert(id == i);
+        assert(range == globalRange[0]);
+        assert(offset == globalOffset[0]);
+      }
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/parallel_for_range_roundup.cpp b/sycl/test-e2e/Basic/parallel_for_range_roundup.cpp
new file mode 100644
index 0000000000000..2107d29620781
--- /dev/null
+++ b/sycl/test-e2e/Basic/parallel_for_range_roundup.cpp
@@ -0,0 +1,192 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env SYCL_PARALLEL_FOR_RANGE_ROUNDING_TRACE=1 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+range<1> Range1 = {0};
+range<2> Range2 = {0, 0};
+range<3> Range3 = {0, 0, 0};
+
+void check(const char *msg, size_t v, size_t ref) {
+  std::cout << msg << v << std::endl;
+  assert(v == ref);
+}
+
+int try_item1(size_t size) {
+  range<1> Size{size};
+  int Counter = 0;
+  {
+    buffer<range<1>, 1> BufRange(&Range1, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_item1>(Size, [=](item<1> ITEM) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0] = ITEM.get_range(0);
+      });
+    });
+    myQueue.wait();
+  }
+  check("Size seen by user = ", Range1.get(0), size);
+  check("Counter = ", Counter, size);
+  return 0;
+}
+
+void try_item2(size_t size) {
+  range<2> Size{size, 10};
+  int Counter = 0;
+  {
+    buffer<range<2>, 1> BufRange(&Range2, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_item2>(Size, [=](item<2> ITEM) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0][0] = ITEM.get_range(0);
+      });
+    });
+    myQueue.wait();
+  }
+  check("Size seen by user = ", Range2.get(0), size);
+  check("Counter = ", Counter, size * 10);
+}
+
+void try_item3(size_t size) {
+  range<3> Size{size, 10, 10};
+  int Counter = 0;
+  {
+    buffer<range<3>, 1> BufRange(&Range3, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_item3>(Size, [=](item<3> ITEM) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0][0] = ITEM.get_range(0);
+      });
+    });
+    myQueue.wait();
+  }
+  check("Size seen by user = ", Range3.get(0), size);
+  check("Counter = ", Counter, size * 10 * 10);
+}
+
+void try_id1(size_t size) {
+  range<1> Size{size};
+  int Counter = 0;
+  {
+    buffer<range<1>, 1> BufRange(&Range1, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_id1>(Size, [=](id<1> ID) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0] = ID[0];
+      });
+    });
+    myQueue.wait();
+  }
+  check("Counter = ", Counter, size);
+}
+
+void try_id2(size_t size) {
+  range<2> Size{size, 10};
+  int Counter = 0;
+  {
+    buffer<range<2>, 1> BufRange(&Range2, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_id2>(Size, [=](id<2> ID) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0][0] = ID[0];
+      });
+    });
+    myQueue.wait();
+  }
+  check("Counter = ", Counter, size * 10);
+}
+
+void try_id3(size_t size) {
+  range<3> Size{size, 10, 10};
+  int Counter = 0;
+  {
+    buffer<range<3>, 1> BufRange(&Range3, 1);
+    buffer<int, 1> BufCounter(&Counter, 1);
+    queue myQueue;
+
+    myQueue.submit([&](handler &cgh) {
+      auto AccRange = BufRange.get_access<access::mode::read_write>(cgh);
+      auto AccCounter = BufCounter.get_access<access::mode::atomic>(cgh);
+      cgh.parallel_for<class PF_init_id3>(Size, [=](id<3> ID) {
+        AccCounter[0].fetch_add(1);
+        AccRange[0][0] = ID[0];
+      });
+    });
+    myQueue.wait();
+  }
+  check("Counter = ", Counter, size * 10 * 10);
+}
+
+int main() {
+  int x;
+
+  x = 1500;
+  try_item1(x);
+  try_item2(x);
+  try_item3(x);
+  try_id1(x);
+  try_id2(x);
+  try_id3(x);
+
+  x = 256;
+  try_item1(x);
+  try_item2(x);
+  try_item3(x);
+  try_id1(x);
+  try_id2(x);
+  try_id3(x);
+
+  return 0;
+}
+
+// CHECK:       parallel_for range adjusted from 1500 to 1504
+// CHECK-NEXT:  Size seen by user = 1500
+// CHECK-NEXT:  Counter = 1500
+// CHECK-NEXT:  parallel_for range adjusted from 1500 to 1504
+// CHECK-NEXT:  Size seen by user = 1500
+// CHECK-NEXT:  Counter = 15000
+// CHECK-NEXT:  parallel_for range adjusted from 1500 to 1504
+// CHECK-NEXT:  Size seen by user = 1500
+// CHECK-NEXT:  Counter = 150000
+// CHECK-NEXT:  parallel_for range adjusted from 1500 to 1504
+// CHECK-NEXT:  Counter = 1500
+// CHECK-NEXT:  parallel_for range adjusted from 1500 to 1504
+// CHECK-NEXT:  Counter = 15000
+// CHECK-NEXT:  parallel_for range adjusted from 1500 to 1504
+// CHECK-NEXT:  Counter = 150000
+// CHECK-NEXT:  Size seen by user = 256
+// CHECK-NEXT:  Counter = 256
+// CHECK-NEXT:  Size seen by user = 256
+// CHECK-NEXT:  Counter = 2560
+// CHECK-NEXT:  Size seen by user = 256
+// CHECK-NEXT:  Counter = 25600
+// CHECK-NEXT:  Counter = 256
+// CHECK-NEXT:  Counter = 2560
+// CHECK-NEXT:  Counter = 25600
diff --git a/sycl/test-e2e/Basic/parallel_for_user_types.cpp b/sycl/test-e2e/Basic/parallel_for_user_types.cpp
new file mode 100644
index 0000000000000..e1cfa66d6319a
--- /dev/null
+++ b/sycl/test-e2e/Basic/parallel_for_user_types.cpp
@@ -0,0 +1,84 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic check of supporting user defined class that are
+// implicitly converted from sycl::item/sycl::nd_item in parallel_for.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+template <int Dimensions> class item_wrapper {
+public:
+  item_wrapper(sycl::item<Dimensions> it) : m_item(it) {}
+
+  size_t get() { return m_item; }
+
+private:
+  sycl::item<Dimensions> m_item;
+};
+
+template <int Dimensions> class nd_item_wrapper {
+public:
+  nd_item_wrapper(sycl::nd_item<Dimensions> it) : m_item(it) {}
+
+  size_t get() { return m_item.get_global_linear_id(); }
+
+private:
+  sycl::nd_item<Dimensions> m_item;
+};
+
+int main() {
+  sycl::queue q;
+
+  // Initialize data array
+  const int sz = 16;
+  int data[sz] = {0};
+  for (int i = 0; i < sz; ++i) {
+    data[i] = i;
+  }
+
+  // Check user defined sycl::item wrapper
+  sycl::buffer<int> data_buf(data, sz);
+  q.submit([&](sycl::handler &h) {
+    auto buf_acc = data_buf.get_access<sycl::access::mode::read_write>(h);
+    h.parallel_for(sycl::range<1>{sz},
+                   [=](item_wrapper<1> item) { buf_acc[item.get()] += 1; });
+  });
+  q.wait();
+  bool failed = false;
+
+  {
+    auto buf_acc = data_buf.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < sz; ++i) {
+      failed |= (buf_acc[i] != i + 1);
+    }
+    if (failed) {
+      std::cout << "item_wrapper check failed" << std::endl;
+      return 1;
+    }
+  }
+
+  // Check user defined sycl::nd_item wrapper
+  q.submit([&](sycl::handler &h) {
+    auto buf_acc = data_buf.get_access<sycl::access::mode::read_write>(h);
+    h.parallel_for(sycl::nd_range<1>{sz, 2},
+                   [=](nd_item_wrapper<1> item) { buf_acc[item.get()] += 1; });
+  });
+  q.wait();
+
+  {
+    auto buf_acc = data_buf.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < sz; ++i) {
+      failed |= (buf_acc[i] != i + 2);
+    }
+    if (failed) {
+      std::cout << "nd_item_wrapper check failed" << std::endl;
+      return 1;
+    }
+  }
+
+  std::cout << "Test passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/partition_supported.cpp b/sycl/test-e2e/Basic/partition_supported.cpp
new file mode 100644
index 0000000000000..0786a0ac3c0e5
--- /dev/null
+++ b/sycl/test-e2e/Basic/partition_supported.cpp
@@ -0,0 +1,124 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Nvidia should not allow sub_devices but does not throw corresponding error.
+// XFAIL: hip_nvidia
+/* Check that:
+1) if partition_equally is supported, then we check that the correct
+invalid errc is returned if more than max_compute_units are requested
+
+2) If the SYCL device does not support
+info::partition_property::partition_by_affinity_domain or the SYCL device does
+not support the info::partition_affinity_domain provided, an exception with the
+**feature_not_supported error code must be thrown**.
+*/
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+/** returns true if the device supports a particular affinity domain
+ */
+static bool
+supports_affinity_domain(const sycl::device &dev,
+                         sycl::info::partition_property partitionProp,
+                         sycl::info::partition_affinity_domain domain) {
+  if (partitionProp !=
+      sycl::info::partition_property::partition_by_affinity_domain) {
+    return true;
+  }
+  auto supported =
+      dev.get_info<sycl::info::device::partition_affinity_domains>();
+  for (sycl::info::partition_affinity_domain dom : supported) {
+    if (dom == domain) {
+      return true;
+    }
+  }
+  return false;
+}
+
+/** returns true if the device supports a particular partition property
+ */
+static bool
+supports_partition_property(const sycl::device &dev,
+                            sycl::info::partition_property partitionProp) {
+  auto supported = dev.get_info<sycl::info::device::partition_properties>();
+  for (sycl::info::partition_property prop : supported) {
+    if (prop == partitionProp) {
+      return true;
+    }
+  }
+  return false;
+}
+
+int main() {
+
+  auto dev = sycl::device(sycl::default_selector_v);
+
+  // 1 - check exceed max_compute_units
+  sycl::info::partition_property partitionEqually =
+      sycl::info::partition_property::partition_equally;
+  if (supports_partition_property(dev, partitionEqually)) {
+    auto maxUnits = dev.get_info<sycl::info::device::max_compute_units>();
+    try {
+      std::vector<sycl::device> v = dev.create_sub_devices<
+          sycl::info::partition_property::partition_equally>(maxUnits + 1);
+      std::cerr << "create_sub_devices with more than max_compute_units should "
+                   "have thrown an error"
+                << std::endl;
+      return -1;
+    } catch (sycl::exception &ex) {
+      if (ex.code() != sycl::errc::invalid) {
+        std::cerr << "while an exception was correctly thrown, it has the "
+                     "wrong error code"
+                     "we should have received"
+                  << sycl::errc::invalid << "but instead got"
+                  << ex.code().value() << std::endl;
+        return -1;
+      }
+    }
+  }
+
+  // 2 - check affinity
+  sycl::info::partition_property partitionProperty =
+      sycl::info::partition_property::partition_by_affinity_domain;
+  sycl::info::partition_affinity_domain affinityDomain =
+      sycl::info::partition_affinity_domain::next_partitionable;
+  if (supports_partition_property(dev, partitionProperty)) {
+    if (supports_affinity_domain(dev, partitionProperty, affinityDomain)) {
+      auto subDevices = dev.create_sub_devices<
+          sycl::info::partition_property::partition_by_affinity_domain>(
+          affinityDomain);
+
+      if (subDevices.size() < 2) {
+        std::cerr << "device::create_sub_device(info::partition_affinity_"
+                     "domain) should have returned at least 2 devices"
+                  << std::endl;
+        return -1;
+      }
+    }
+  } else {
+    try {
+      auto subDevices = dev.create_sub_devices<
+          sycl::info::partition_property::partition_by_affinity_domain>(
+          affinityDomain);
+      std::cerr << "device::create_sub_device(info::partition_affinity_domain) "
+                   "should have thrown an exception"
+                << std::endl;
+      return -1;
+    } catch (const sycl::feature_not_supported &e) {
+      if (e.code() != sycl::errc::feature_not_supported) {
+        std::cerr
+            << "error code should be errc::feature_not_supported instead of "
+            << e.code().value() << std::endl;
+        return -1;
+      }
+    } catch (...) {
+      std::cerr << "device::create_sub_device(info::partition_affinity_domain) "
+                   "should have thrown sycl::feature_not_supported"
+                << std::endl;
+      return -1;
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/property_list.cpp b/sycl/test-e2e/Basic/property_list.cpp
new file mode 100644
index 0000000000000..49a6b7ecb901a
--- /dev/null
+++ b/sycl/test-e2e/Basic/property_list.cpp
@@ -0,0 +1,82 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic check of the SYCL property_list class.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+namespace sycl_property = sycl::property;
+
+int main() {
+  bool Failed = false;
+
+  {
+    sycl::property_list Empty{};
+    if (Empty.has_property<sycl_property::buffer::use_host_ptr>()) {
+      std::cerr << "Error: empty property list has property." << std::endl;
+      Failed = true;
+    }
+  }
+
+  {
+    sycl::context SYCLContext;
+    sycl_property::buffer::context_bound ContextBound(SYCLContext);
+
+    sycl::property_list SeveralProps{sycl_property::image::use_host_ptr(),
+                                     sycl_property::buffer::use_host_ptr(),
+                                     sycl_property::image::use_host_ptr(),
+                                     ContextBound};
+
+    if (!SeveralProps.has_property<sycl_property::buffer::use_host_ptr>()) {
+      std::cerr << "Error: property list has no property while should have."
+                << std::endl;
+      Failed = true;
+    }
+
+    if (!SeveralProps.has_property<sycl_property::image::use_host_ptr>()) {
+      std::cerr << "Error: property list has no property while should have."
+                << std::endl;
+      Failed = true;
+    }
+
+    try {
+      sycl_property::buffer::context_bound ContextBoundRet =
+          SeveralProps.get_property<sycl_property::buffer::context_bound>();
+      if (SYCLContext != ContextBoundRet.get_context()) {
+        std::cerr << "Error: returned SYCL context is not the same that was "
+                     "passed to c'tor earlier."
+                  << std::endl;
+        Failed = true;
+      }
+
+    } catch (sycl::invalid_object_error &Error) {
+      Error.what();
+      std::cerr << "Error: exception was thrown in get_property method."
+                << std::endl;
+      Failed = true;
+    }
+  }
+
+  {
+    sycl::property_list MemChannelProp{sycl_property::buffer::mem_channel(2)};
+    if (!MemChannelProp.has_property<sycl_property::buffer::mem_channel>()) {
+      std::cerr << "Error: property list has no property while should have."
+                << std::endl;
+      Failed = true;
+    }
+    auto Prop =
+        MemChannelProp.get_property<sycl_property::buffer::mem_channel>();
+    if (Prop.get_channel() != 2) {
+      std::cerr << "Error: mem_channel property is not equal to 2."
+                << std::endl;
+      Failed = true;
+    }
+  }
+
+  std::cerr << "Test status : " << (Failed ? "FAILED" : "PASSED") << std::endl;
+
+  return Failed;
+}
diff --git a/sycl/test-e2e/Basic/query.cpp b/sycl/test-e2e/Basic/query.cpp
new file mode 100644
index 0000000000000..bb1055018ec1d
--- /dev/null
+++ b/sycl/test-e2e/Basic/query.cpp
@@ -0,0 +1,5 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:gpu" %t.out
+
+// REQUIRES: gpu-intel-dg1
+#include "query.hpp"
diff --git a/sycl/test-e2e/Basic/query.hpp b/sycl/test-e2e/Basic/query.hpp
new file mode 100644
index 0000000000000..c735996b3952f
--- /dev/null
+++ b/sycl/test-e2e/Basic/query.hpp
@@ -0,0 +1,47 @@
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+using namespace sycl;
+
+int main() {
+  std::vector<device> devices = device::get_devices(info::device_type::gpu);
+  for (int i = 0; i < devices.size(); ++i) {
+    std::cout << std::endl;
+    std::cout << "Device " << i << ": "
+              << devices[i].get_info<info::device::name>() << std::endl;
+    std::cout << "  Platform: "
+              << devices[i].get_platform().get_info<info::platform::name>()
+              << std::endl;
+    std::cout << "  EUs: "
+              << devices[i].get_info<info::device::max_compute_units>()
+              << std::endl;
+    std::cout << "  Max sub-devices: "
+              << devices[i].get_info<info::device::partition_max_sub_devices>()
+              << std::endl;
+
+    std::vector<device> subdevices;
+    if (devices[i].get_info<info::device::partition_max_sub_devices>() > 0 &&
+        devices[i].get_info<info::device::max_compute_units>() > 0) {
+      try {
+        std::cout << "  Subdevices: ";
+        subdevices =
+            devices[i]
+                .create_sub_devices<
+                    info::partition_property::partition_by_affinity_domain>(
+                    info::partition_affinity_domain::numa);
+        std::cout << subdevices.size() << std::endl;
+      } catch (exception e) {
+        std::cout << "Error -- cannot create subdevices: " << e.what()
+                  << std::endl;
+        return 1;
+      }
+      for (int j = 0; j < subdevices.size(); ++j) {
+        std::cout << "  Subdevice " << j << std::endl;
+        std::cout << "    EUs: "
+                  << subdevices[j].get_info<info::device::max_compute_units>()
+                  << std::endl;
+      }
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/query_emulate_subdevice.cpp b/sycl/test-e2e/Basic/query_emulate_subdevice.cpp
new file mode 100644
index 0000000000000..ac013f064e478
--- /dev/null
+++ b/sycl/test-e2e/Basic/query_emulate_subdevice.cpp
@@ -0,0 +1,8 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env CreateMultipleSubDevices=2 EnableTimestampPacket=1 \
+// RUN: NEOReadDebugKeys=1 ONEAPI_DEVICE_SELECTOR="*:gpu" %t.out
+
+// UNSUPPORTED: gpu-intel-dg1,hip
+// Temporarily disable on L0 due to fails in CI
+// UNSUPPORTED: level_zero
+#include "query.hpp"
diff --git a/sycl/test-e2e/Basic/queue/queue.cpp b/sycl/test-e2e/Basic/queue/queue.cpp
new file mode 100644
index 0000000000000..e6cb8161d8ff6
--- /dev/null
+++ b/sycl/test-e2e/Basic/queue/queue.cpp
@@ -0,0 +1,127 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %BE_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+//==--------------- queue.cpp - SYCL queue test ----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+std::string get_type(const device &dev) {
+  return dev.is_gpu() ? "OpenCL.GPU" : "OpenCL.CPU";
+}
+
+void print_queue_info(const queue &q) {
+  std::cout << "ID=" << std::hex
+            << ((q.get_context().get_platform().get_backend() !=
+                 sycl::backend::opencl)
+                    ? nullptr
+                    : sycl::get_native<sycl::backend::opencl>(q))
+            << std::endl;
+  std::cout << "queue wraps " << get_type(q.get_device()) << " device"
+            << std::endl;
+}
+int main() {
+  try {
+    std::cout << "Create default queue." << std::endl;
+    queue q;
+    print_queue_info(q);
+
+  } catch (device_error e) {
+    std::cout << "Failed to create device for context" << std::endl;
+  }
+
+  auto devices = device::get_devices();
+  device &deviceA = devices[0];
+  device &deviceB = (devices.size() > 1 ? devices[1] : devices[0]);
+  {
+    std::cout << "move constructor" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue MovedQueue(std::move(Queue));
+    assert(hash == std::hash<queue>()(MovedQueue));
+    if (deviceA.get_platform().get_backend() == sycl::backend::opencl) {
+      assert(sycl::get_native<sycl::backend::opencl>(MovedQueue) != nullptr);
+    }
+  }
+  {
+    std::cout << "move assignment operator" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue WillMovedQueue(deviceB);
+    WillMovedQueue = std::move(Queue);
+    assert(hash == std::hash<queue>()(WillMovedQueue));
+    if (deviceA.get_platform().get_backend() == sycl::backend::opencl) {
+      assert(sycl::get_native<sycl::backend::opencl>(WillMovedQueue) !=
+             nullptr);
+    }
+  }
+  {
+    std::cout << "copy constructor" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue QueueCopy(Queue);
+    assert(hash == std::hash<queue>()(Queue));
+    assert(hash == std::hash<queue>()(QueueCopy));
+    assert(Queue == QueueCopy);
+  }
+  {
+    std::cout << "copy assignment operator" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue WillQueueCopy(deviceB);
+    WillQueueCopy = Queue;
+    assert(hash == std::hash<queue>()(Queue));
+    assert(hash == std::hash<queue>()(WillQueueCopy));
+    assert(Queue == WillQueueCopy);
+  }
+
+  {
+    property_list pl = {};
+    queue Queue(pl);
+    try {
+      Queue.throw_asynchronous();
+    } catch (const std::bad_function_call &e) {
+      std::cout << "Default asynchronous handler call failed: " << e.what()
+                << std::endl;
+      throw;
+    }
+  }
+
+  {
+    default_selector Selector;
+    device Device = Selector.select_device();
+    context Context(Device);
+    queue Queue(Context, Selector);
+    assert(Context == Queue.get_context());
+  }
+
+  {
+    context Context(deviceA);
+    queue Queue(Context, deviceA);
+    assert(Context == Queue.get_context());
+  }
+
+  if (devices.size() > 1) {
+    bool GotException = false;
+    try {
+      context Context(deviceA);
+      queue Queue(Context, deviceB);
+      assert(Context == Queue.get_context());
+    } catch (sycl::exception &e) {
+      if (e.code() == sycl::errc::invalid) {
+        std::cout << "Exception check passed: " << e.what() << std::endl;
+        GotException = true;
+      }
+    }
+    assert(GotException);
+  }
+}
diff --git a/sycl/test-e2e/Basic/queue/queue_parallel_for_generic.cpp b/sycl/test-e2e/Basic/queue/queue_parallel_for_generic.cpp
new file mode 100644
index 0000000000000..db32903a508bc
--- /dev/null
+++ b/sycl/test-e2e/Basic/queue/queue_parallel_for_generic.cpp
@@ -0,0 +1,69 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//=-queue_parallel_for_generic.cpp - SYCL queue parallel_for generic lambda-=//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+#include <type_traits>
+
+int main() {
+  sycl::queue q{sycl::property::queue::in_order()};
+  auto dev = q.get_device();
+  auto ctx = q.get_context();
+  constexpr int N = 8;
+
+  if (!dev.get_info<sycl::info::device::usm_shared_allocations>()) {
+    return 0;
+  }
+
+  auto A = static_cast<int *>(sycl::malloc_shared(N * sizeof(int), dev, ctx));
+
+  for (int i = 0; i < N; i++) {
+    A[i] = 1;
+  }
+
+  q.parallel_for<class Bar>(N, [=](auto i) {
+    static_assert(std::is_same<decltype(i), sycl::item<1>>::value,
+                  "lambda arg type is unexpected");
+    A[i]++;
+  });
+
+  q.parallel_for<class Foo>({N}, [=](auto i) {
+    static_assert(std::is_same<decltype(i), sycl::item<1>>::value,
+                  "lambda arg type is unexpected");
+    A[i]++;
+  });
+
+  sycl::id<1> offset(0);
+  q.parallel_for<class Baz>(sycl::range<1>{N}, offset, [=](auto i) {
+    static_assert(std::is_same<decltype(i), sycl::item<1>>::value,
+                  "lambda arg type is unexpected");
+    A[i]++;
+  });
+
+  sycl::nd_range<1> NDR(sycl::range<1>{N}, sycl::range<1>{2});
+  q.parallel_for<class NDFoo>(NDR, [=](auto nd_i) {
+    static_assert(std::is_same<decltype(nd_i), sycl::nd_item<1>>::value,
+                  "lambda arg type is unexpected");
+    auto i = nd_i.get_global_id(0);
+    A[i]++;
+  });
+
+  q.wait();
+
+  for (int i = 0; i < N; i++) {
+    assert(A[i] == 5);
+  }
+  sycl::free(A, ctx);
+}
diff --git a/sycl/test-e2e/Basic/queue/queue_select_device_not_in_context.cpp b/sycl/test-e2e/Basic/queue/queue_select_device_not_in_context.cpp
new file mode 100644
index 0000000000000..a5072d172bfa2
--- /dev/null
+++ b/sycl/test-e2e/Basic/queue/queue_select_device_not_in_context.cpp
@@ -0,0 +1,39 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %BE_RUN_PLACEHOLDER %t.out
+
+// This test checks that the queue constructor throws a sycl::exception if the
+// device selected by the provided selector is not in the specified context.
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <optional>
+
+std::optional<sycl::device>
+FindOtherDevice(const sycl::device &ExcludedDevice) {
+  for (sycl::device Device : sycl::device::get_devices())
+    if (Device != ExcludedDevice)
+      return Device;
+  return std::nullopt;
+}
+
+int main() {
+  const sycl::device SelectedDevice(sycl::default_selector_v);
+  std::optional<sycl::device> OtherDevice = FindOtherDevice(SelectedDevice);
+
+  if (!OtherDevice.has_value()) {
+    std::cout << "No other device found. Skipping test." << std::endl;
+    return 0;
+  }
+
+  sycl::context Ctx(*OtherDevice);
+  try {
+    sycl::queue q(Ctx, sycl::default_selector_v);
+    std::cout << "Queue constructor did not throw." << std::endl;
+    return 1;
+  } catch (const sycl::exception &e) {
+    assert(e.code() == sycl::errc::invalid &&
+           "Error code should be sycl::errc::invalid.");
+  }
+  return 0;
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/Basic/queue/queue_shortcut_functions.cpp b/sycl/test-e2e/Basic/queue/queue_shortcut_functions.cpp
new file mode 100644
index 0000000000000..3b3fe2b230365
--- /dev/null
+++ b/sycl/test-e2e/Basic/queue/queue_shortcut_functions.cpp
@@ -0,0 +1,165 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==-- queue_shortcut_functions.cpp - SYCL queue shortcut functions test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//==------------------------------------------------------------------------==//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <memory>
+#include <vector>
+
+int main() {
+  sycl::queue Q;
+
+  constexpr std::size_t Size = 5;
+
+  {
+    const int FillValue = 42;
+    std::vector<int> Data(Size, 0);
+
+    {
+      sycl::buffer<int> DataBuffer(Data.data(), sycl::range<1>(Size));
+
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::true_t,
+                     sycl::ext::oneapi::accessor_property_list<>>
+          Acc(DataBuffer);
+
+      Q.fill(Acc, FillValue);
+      Q.update_host(Acc);
+      Q.wait();
+    }
+
+    for (int i = 0; i < Size; ++i) {
+      if (Data[i] != FillValue) {
+        std::cerr << "Incorrect result in fill/update_host test (index " << i
+                  << "): got " << Data[i] << ", expected " << FillValue
+                  << std::endl;
+        return 1;
+      }
+    }
+  }
+
+  {
+    const std::vector<int> ReferenceData = {1, 2, 3, 4, 5};
+    std::vector<int> Data(Size, 0);
+    std::vector<int> CopyBackData(Size, 0);
+
+    {
+      sycl::buffer<int> Buf(Data.data(), sycl::range<1>(Size));
+
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::true_t,
+                     sycl::ext::oneapi::accessor_property_list<>>
+          Acc(Buf);
+      Q.copy(ReferenceData.data(), Acc);
+      Q.wait();
+
+      Q.copy(Acc, CopyBackData.data());
+      Q.wait();
+    }
+
+    for (int i = 0; i < Size; ++i) {
+      if (ReferenceData[i] != Data[i]) {
+        std::cerr << "Incorrect result in copy(ptr,acc) at index " << i
+                  << ": got " << Data[i] << ", expected " << ReferenceData[i]
+                  << std::endl;
+        return 1;
+      }
+    }
+
+    for (int i = 0; i < Size; ++i) {
+      if (ReferenceData[i] != CopyBackData[i]) {
+        std::cerr << "Incorrect result in copy(acc,ptr) at index " << i
+                  << ": got " << CopyBackData[i] << ", expected "
+                  << ReferenceData[i] << std::endl;
+        return 1;
+      }
+    }
+  }
+
+  {
+    const std::vector<int> ReferenceData = {2, 4, 6, 8, 10};
+    std::shared_ptr<int[]> DataPtr(new int[Size]{0});
+    std::shared_ptr<int[]> CopyBackDataPtr(new int[Size]{0});
+
+    {
+      sycl::buffer<int> Buf(DataPtr, sycl::range<1>(Size));
+
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::true_t,
+                     sycl::ext::oneapi::accessor_property_list<>>
+          Acc(Buf);
+      Q.copy(ReferenceData.data(), Acc);
+      Q.wait();
+
+      Q.copy(Acc, CopyBackDataPtr);
+      Q.wait();
+    }
+
+    for (int i = 0; i < Size; ++i) {
+      if (ReferenceData[i] != DataPtr.get()[i]) {
+        std::cerr << "Incorrect result in copy(shared_ptr,acc) at index " << i
+                  << ": got " << DataPtr.get()[i] << ", expected "
+                  << ReferenceData[i] << std::endl;
+        return 1;
+      }
+    }
+
+    for (int i = 0; i < Size; ++i) {
+      if (ReferenceData[i] != CopyBackDataPtr.get()[i]) {
+        std::cerr << "Incorrect result in copy(acc,shared_ptr) at index " << i
+                  << ": got " << CopyBackDataPtr.get()[i] << ", expected "
+                  << ReferenceData[i] << std::endl;
+        return 1;
+      }
+    }
+  }
+
+  {
+    const std::vector<int> ReferenceData = {3, 6, 9, 12, 15};
+    std::vector<int> Data(Size, 0);
+
+    {
+      sycl::buffer<int> RefBuf(ReferenceData.data(), sycl::range<1>(Size));
+      sycl::buffer<int> DataBuf(Data.data(), sycl::range<1>(Size));
+
+      sycl::accessor<int, 1, sycl::access::mode::read,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::true_t,
+                     sycl::ext::oneapi::accessor_property_list<>>
+          RefAcc(RefBuf);
+      sycl::accessor<int, 1, sycl::access::mode::write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::true_t,
+                     sycl::ext::oneapi::accessor_property_list<>>
+          DataAcc(DataBuf);
+
+      Q.copy(RefAcc, DataAcc);
+      Q.wait();
+    }
+
+    for (int i = 0; i < Size; ++i) {
+      if (ReferenceData[i] != Data[i]) {
+        std::cerr << "Incorrect result in copy(acc,acc) at index " << i
+                  << ": got " << Data[i] << ", expected " << ReferenceData[i]
+                  << std::endl;
+        return 1;
+      }
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/queue/release.cpp b/sycl/test-e2e/Basic/queue/release.cpp
new file mode 100644
index 0000000000000..cc669864b920a
--- /dev/null
+++ b/sycl/test-e2e/Basic/queue/release.cpp
@@ -0,0 +1,26 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+
+#include <sycl/sycl.hpp>
+int main() {
+  sycl::queue q;
+
+  q.single_task<class test>([]() {});
+  // no wait. Ensure resources are released anyway.
+
+  return 0;
+}
+
+// CHECK: ---> piEnqueueKernelLaunch(
+// FIXME the order of these 2 varies between plugins due to a Level Zero
+// specific queue workaround.
+// CHECK-DAG: ---> piEventRelease(
+// CHECK-DAG: ---> piQueueRelease(
+// CHECK: ---> piContextRelease(
+// CHECK: ---> piKernelRelease(
+// CHECK: ---> piProgramRelease(
+// CHECK: ---> piDeviceRelease(
diff --git a/sycl/test-e2e/Basic/range_large_y_dim.cpp b/sycl/test-e2e/Basic/range_large_y_dim.cpp
new file mode 100644
index 0000000000000..8bd65947dff0f
--- /dev/null
+++ b/sycl/test-e2e/Basic/range_large_y_dim.cpp
@@ -0,0 +1,14 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+  size_t N = 65536;
+  size_t M = 1;
+
+  q.parallel_for(sycl::range<2>{N, M}, [=](sycl::id<2> idx) {});
+}
diff --git a/sycl/test-e2e/Basic/range_offset_fit_in_int.cpp b/sycl/test-e2e/Basic/range_offset_fit_in_int.cpp
new file mode 100644
index 0000000000000..85dcc5013ad27
--- /dev/null
+++ b/sycl/test-e2e/Basic/range_offset_fit_in_int.cpp
@@ -0,0 +1,266 @@
+// RUN: %clangxx -fsycl -fsycl-id-queries-fit-in-int -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <climits>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+namespace S = sycl;
+
+void checkRangeException(S::runtime_error &E) {
+  constexpr char Msg[] = "Provided range is out of integer limits. "
+                         "Pass `-fno-sycl-id-queries-fit-in-int' to "
+                         "disable range check.";
+
+  std::cerr << E.what() << std::endl;
+
+  assert(std::string(E.what()).find(Msg) == 0 && "Unexpected message");
+}
+
+void checkOffsetException(S::runtime_error &E) {
+  constexpr char Msg[] = "Provided offset is out of integer limits. "
+                         "Pass `-fno-sycl-id-queries-fit-in-int' to "
+                         "disable offset check.";
+
+  std::cerr << E.what() << std::endl;
+
+  assert(std::string(E.what()).find(Msg) == 0 && "Unexpected message");
+}
+
+void test() {
+  auto EH = [](S::exception_list EL) {
+    for (const std::exception_ptr &E : EL) {
+      throw E;
+    }
+  };
+
+  S::queue Queue(EH);
+
+  static constexpr size_t OutOfLimitsSize = static_cast<size_t>(INT_MAX) + 1;
+
+  S::range<2> RangeOutOfLimits{OutOfLimitsSize, 1};
+  S::range<2> RangeInLimits{1, 1};
+  S::range<2> RangeInLimits_POL{OutOfLimitsSize / 2, 3};
+  S::range<2> RangeInLimits_Large{OutOfLimitsSize / 2, 1};
+  S::id<2> OffsetOutOfLimits{OutOfLimitsSize, 1};
+  S::id<2> OffsetInLimits{1, 1};
+  S::id<2> OffsetInLimits_Large{(OutOfLimitsSize / 4) * 3, 1};
+  S::nd_range<2> NDRange_ROL_LIL_OIL{RangeOutOfLimits, RangeInLimits,
+                                     OffsetInLimits};
+  S::nd_range<2> NDRange_RIL_LOL_OIL{RangeInLimits, RangeOutOfLimits,
+                                     OffsetInLimits};
+  S::nd_range<2> NDRange_RIL_LIL_OOL{RangeInLimits, RangeInLimits,
+                                     OffsetOutOfLimits};
+  S::nd_range<2> NDRange_RIL_LIL_OIL(RangeInLimits, RangeInLimits,
+                                     OffsetInLimits);
+  S::nd_range<2> NDRange_RIL_LIL_OIL_POL(S::range<2>{OutOfLimitsSize / 2, 3},
+                                         S::range<2>{OutOfLimitsSize / 2, 1});
+  S::nd_range<2> NDRange_RIL_LIL_OIL_SOL(
+      S::range<2>{OutOfLimitsSize / 2, 1}, S::range<2>{OutOfLimitsSize / 2, 1},
+      S::id<2>{(OutOfLimitsSize / 4) * 3, (OutOfLimitsSize / 4) * 3});
+
+  int Data = 0;
+  S::buffer<int, 1> Buf{&Data, 1};
+
+  // no offset, either dim of range exceeds limit
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ROL>(RangeOutOfLimits,
+                                     [=](S::id<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // no offset, all dims of range are in limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_RIL>(RangeInLimits,
+                                     [Acc](S::id<2> Id) { Acc[0] += 1; });
+    });
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // no offset, all dims of range are in limits, linear id exceeds limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_RIL_POL>(RangeInLimits_POL,
+                                         [Acc](S::id<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, either dim of range exceeds limit
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ROL_OIL>(RangeOutOfLimits, OffsetInLimits,
+                                         [Acc](S::id<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // large offset, neither dim of range exceeds limit, offset + range > limit
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_RIL_OIL_SOL>(
+          RangeInLimits_Large, OffsetInLimits_Large,
+          [Acc](S::id<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // large offset, neither dim of range exceeds limit
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_RIL_OOL>(RangeInLimits, OffsetOutOfLimits,
+                                         [Acc](S::id<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkOffsetException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, neither range dim exceeds limit
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_RIL_OIL>(RangeInLimits, OffsetInLimits,
+                                         [Acc](S::id<2> Id) { Acc[0] += 1; });
+    });
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, global range's dim is out of limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ND_GOL_LIL_OIL>(
+          NDRange_ROL_LIL_OIL, [Acc](S::nd_item<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, local range is out of limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ND_GIL_LOL_OIL>(
+          NDRange_RIL_LOL_OIL, [Acc](S::nd_item<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // large offset, ranges are in limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ND_GIL_LIL_OOL>(
+          NDRange_RIL_LIL_OOL, [Acc](S::nd_item<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkOffsetException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, ranges are in limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ND_GIL_LIL_OIL>(
+          NDRange_RIL_LIL_OIL, [Acc](S::nd_item<2> Id) { Acc[0] += 1; });
+    });
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, ranges are in limits, linear id out of limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ND_GIL_LIL_OIL_POL>(
+          NDRange_RIL_LIL_OIL_POL, [Acc](S::nd_item<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+
+  // small offset, ranges are in limits, range + offset exceeds limits
+  try {
+    Queue.submit([&](S::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+
+      CGH.parallel_for<class PF_ND_GIL_LIL_OIL_SOL>(
+          NDRange_RIL_LIL_OIL_POL, [Acc](S::nd_item<2> Id) { Acc[0] += 1; });
+    });
+
+    assert(false && "Exception expected");
+  } catch (S::runtime_error &E) {
+    checkRangeException(E);
+  } catch (...) {
+    assert(false && "Unexpected exception catched");
+  }
+}
+
+int main(void) {
+  test();
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/reqd_work_group_size.cpp b/sycl/test-e2e/Basic/reqd_work_group_size.cpp
new file mode 100644
index 0000000000000..932eff7096b4c
--- /dev/null
+++ b/sycl/test-e2e/Basic/reqd_work_group_size.cpp
@@ -0,0 +1,506 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Failing negative test with HIP
+// UNSUPPORTED: hip
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+template <int Dims> std::string GetRangeStr(range<Dims> Range);
+template <> std::string GetRangeStr<1>(range<1> Range) {
+  return "{" + std::to_string(Range[0]) + "}";
+}
+template <> std::string GetRangeStr<2>(range<2> Range) {
+  return "{" + std::to_string(Range[0]) + "," + std::to_string(Range[1]) + "}";
+}
+template <> std::string GetRangeStr<3>(range<3> Range) {
+  return "{" + std::to_string(Range[0]) + "," + std::to_string(Range[1]) + "," +
+         std::to_string(Range[2]) + "}";
+}
+
+enum class TestKind : char {
+  PositiveWithLocal,
+  PositiveWithoutLocal,
+  Negative
+};
+
+template <TestKind Kind, int... ReqdWGSizes> class ReqdWGSizeVariadic;
+
+template <TestKind Kind, int ReqdWGSizeX, int ReqdWGSizeY, int ReqdWGSizeZ>
+void submitTest(queue &Q, range<3> GlobalRange, range<3> LocalRange) {
+  Q.submit([&](handler &CGH) {
+    CGH.parallel_for<
+        ReqdWGSizeVariadic<Kind, ReqdWGSizeX, ReqdWGSizeY, ReqdWGSizeZ>>(
+        nd_range<3>(GlobalRange, LocalRange),
+        [=](nd_item<3>) [[sycl::reqd_work_group_size(ReqdWGSizeX, ReqdWGSizeY,
+                                                     ReqdWGSizeZ)]] {});
+  });
+}
+
+template <TestKind Kind, int ReqdWGSizeX, int ReqdWGSizeY>
+void submitTest(queue &Q, range<2> GlobalRange, range<2> LocalRange) {
+  Q.submit([&](handler &CGH) {
+    CGH.parallel_for<ReqdWGSizeVariadic<Kind, ReqdWGSizeX, ReqdWGSizeY>>(
+        nd_range<2>(GlobalRange, LocalRange),
+        [=](nd_item<2>)
+            [[sycl::reqd_work_group_size(ReqdWGSizeX, ReqdWGSizeY)]] {});
+  });
+}
+
+template <TestKind Kind, int ReqdWGSizeX>
+void submitTest(queue &Q, range<1> GlobalRange, range<1> LocalRange) {
+  Q.submit([&](handler &CGH) {
+    CGH.parallel_for<ReqdWGSizeVariadic<Kind, ReqdWGSizeX>>(
+        nd_range<1>(GlobalRange, LocalRange),
+        [=](nd_item<1>) [[sycl::reqd_work_group_size(ReqdWGSizeX)]] {});
+  });
+}
+
+template <TestKind Kind, int ReqdWGSizeX, int ReqdWGSizeY, int ReqdWGSizeZ>
+void submitTest(queue &Q, range<3> GlobalRange) {
+  Q.submit([&](handler &CGH) {
+    CGH.parallel_for<
+        ReqdWGSizeVariadic<Kind, ReqdWGSizeX, ReqdWGSizeY, ReqdWGSizeZ>>(
+        GlobalRange, [=](item<3>) [[sycl::reqd_work_group_size(
+                         ReqdWGSizeX, ReqdWGSizeY, ReqdWGSizeZ)]] {});
+  });
+}
+
+template <TestKind Kind, int ReqdWGSizeX, int ReqdWGSizeY>
+void submitTest(queue &Q, range<2> GlobalRange) {
+  Q.submit([&](handler &CGH) {
+    CGH.parallel_for<ReqdWGSizeVariadic<Kind, ReqdWGSizeX, ReqdWGSizeY>>(
+        GlobalRange,
+        [=](item<2>)
+            [[sycl::reqd_work_group_size(ReqdWGSizeX, ReqdWGSizeY)]] {});
+  });
+}
+
+template <TestKind Kind, int ReqdWGSizeX>
+void submitTest(queue &Q, range<1> GlobalRange) {
+  Q.submit([&](handler &CGH) {
+    CGH.parallel_for<ReqdWGSizeVariadic<Kind, ReqdWGSizeX>>(
+        GlobalRange,
+        [=](item<1>) [[sycl::reqd_work_group_size(ReqdWGSizeX)]] {});
+  });
+}
+
+template <int... ReqdWGSizes>
+int runPositiveTest(queue &Q, range<sizeof...(ReqdWGSizes)> GlobalRange,
+                    range<sizeof...(ReqdWGSizes)> LocalRange) {
+  std::string TestCaseName =
+      "Test case ReqdWGSizeVariadic " +
+      GetRangeStr(range<sizeof...(ReqdWGSizes)>{ReqdWGSizes...}) + " & " +
+      GetRangeStr(LocalRange) + " (Positive with local range)";
+  try {
+    submitTest<TestKind::PositiveWithLocal, ReqdWGSizes...>(Q, GlobalRange,
+                                                            LocalRange);
+    Q.wait_and_throw();
+    return 0;
+  } catch (sycl::exception &E) {
+    std::cerr << TestCaseName
+              << " failed: unexpected sycl::exception: " << E.what()
+              << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << TestCaseName << " failed: something unexpected has been caught"
+              << std::endl;
+    return 1;
+  }
+}
+
+template <int... ReqdWGSizes>
+int runPositiveTest(queue &Q, range<sizeof...(ReqdWGSizes)> GlobalRange) {
+  std::string TestCaseName =
+      "Test case ReqdWGSizeVariadic " +
+      GetRangeStr(range<sizeof...(ReqdWGSizes)>{ReqdWGSizes...}) +
+      " (Positive without local range)";
+  try {
+    submitTest<TestKind::PositiveWithoutLocal, ReqdWGSizes...>(Q, GlobalRange);
+    Q.wait_and_throw();
+    return 0;
+  } catch (sycl::exception &E) {
+    std::cerr << TestCaseName
+              << " failed: unexpected sycl::exception: " << E.what()
+              << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << TestCaseName << " failed: something unexpected has been caught"
+              << std::endl;
+    return 1;
+  }
+}
+
+template <int... ReqdWGSizes>
+int runNegativeTest(queue &Q, range<sizeof...(ReqdWGSizes)> GlobalRange,
+                    range<sizeof...(ReqdWGSizes)> LocalRange) {
+  std::string TestCaseName =
+      "Test case ReqdWGSizeVariadic " +
+      GetRangeStr(range<sizeof...(ReqdWGSizes)>{ReqdWGSizes...}) + " & " +
+      GetRangeStr(LocalRange) + " (Negative)";
+  try {
+    submitTest<TestKind::Negative, ReqdWGSizes...>(Q, GlobalRange, LocalRange);
+    Q.wait_and_throw();
+    std::cerr << TestCaseName << " failed: no exception has been thrown\n";
+    return 1; // We shouldn't be here, exception is expected
+  } catch (nd_range_error &E) {
+    return 0;
+  } catch (sycl::exception &E) {
+    std::cerr << TestCaseName
+              << " failed: unexpected sycl::exception: " << E.what()
+              << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << TestCaseName << " failed: something unexpected has been caught"
+              << std::endl;
+    return 1;
+  }
+}
+
+int main() {
+  auto AsyncHandler = [](exception_list ES) {
+    for (auto &E : ES) {
+      std::rethrow_exception(E);
+    }
+  };
+
+  queue Q(AsyncHandler);
+  device D(Q.get_device());
+
+  bool IsOpenCL = (D.get_platform().get_backend() == backend::opencl);
+
+  int FailureCounter = 0;
+
+  //****************************************************************************
+  // Negative tests with both global and local ranges.
+  //****************************************************************************
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4, 4) global, (2, 2, 2) local, reqd_wg_size(2, 2, 2) ->
+  // pass
+  FailureCounter +=
+      runPositiveTest<2, 2, 2>(Q, range<3>(4, 4, 4), range<3>(2, 2, 2));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4, 4) global, (4, 2, 2) local, reqd_wg_size(4, 2, 2) ->
+  // pass
+  FailureCounter +=
+      runPositiveTest<4, 2, 2>(Q, range<3>(4, 4, 4), range<3>(4, 2, 2));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4, 4) global, (2, 4, 2) local, reqd_wg_size(2, 4, 2) ->
+  // pass
+  FailureCounter +=
+      runPositiveTest<2, 4, 2>(Q, range<3>(4, 4, 4), range<3>(2, 4, 2));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4, 4) global, (2, 2, 4) local, reqd_wg_size(2, 2, 4) ->
+  // pass
+  FailureCounter +=
+      runPositiveTest<2, 2, 4>(Q, range<3>(4, 4, 4), range<3>(2, 2, 4));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4, 4) global, (2, 2, 2) local, reqd_wg_size(2, 2, 2) ->
+  // pass
+  FailureCounter += runPositiveTest<2, 2>(Q, range<2>(4, 4), range<2>(2, 2));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4, 4) global, (4, 2, 2) local, reqd_wg_size(4, 2, 2) ->
+  // pass
+  FailureCounter += runPositiveTest<4, 2>(Q, range<2>(4, 4), range<2>(4, 2));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4, 4) global, (2, 4) local, reqd_wg_size(2, 4) ->
+  // pass
+  FailureCounter += runPositiveTest<2, 4>(Q, range<2>(4, 4), range<2>(2, 4));
+
+  // Positive test case: Specify local size that matches required size.
+  // parallel_for, (4) global, (2) local, reqd_wg_size(2) ->
+  // pass
+  FailureCounter += runPositiveTest<2>(Q, range<1>(4), range<1>(2));
+
+  //****************************************************************************
+  // Negative tests with only global range.
+  //****************************************************************************
+
+  // Kernel that has a required WG size, but no local size is specified.
+  //
+  // TODO: This fails on OpenCL and should be investigated.
+  if (!IsOpenCL) {
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8, 8) global, reqd_wg_size(2, 2, 2) -> pass
+    FailureCounter += runPositiveTest<2, 2, 2>(Q, range<3>(8, 8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8, 8) global, reqd_wg_size(4, 2, 2) -> pass
+    FailureCounter += runPositiveTest<4, 2, 2>(Q, range<3>(8, 8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8, 8) global, reqd_wg_size(2, 4, 2) -> pass
+    FailureCounter += runPositiveTest<2, 4, 2>(Q, range<3>(8, 8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8, 8) global, reqd_wg_size(2, 2, 4) -> pass
+    FailureCounter += runPositiveTest<2, 2, 4>(Q, range<3>(8, 8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8) global, reqd_wg_size(2, 2) -> pass
+    FailureCounter += runPositiveTest<2, 2>(Q, range<2>(8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8) global, reqd_wg_size(4, 2) -> pass
+    FailureCounter += runPositiveTest<4, 2>(Q, range<2>(8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8, 8) global, reqd_wg_size(2, 4) -> pass
+    FailureCounter += runPositiveTest<2, 4>(Q, range<2>(8, 8));
+
+    // Positive test case: No local size specified.
+    // parallel_for, (8) global, reqd_wg_size(2) -> pass
+    FailureCounter += runPositiveTest<2>(Q, range<1>(8));
+  }
+
+  //****************************************************************************
+  // Negative tests where local work-group size has elements that are greater
+  // than required in that dimension. reqd_work_group_size is uniform.
+  //****************************************************************************
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 4) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 2) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(4, 4, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 4, 4) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(2, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 4, 4) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(4, 2, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 2, 2) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(4, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 4, 2) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(2, 4, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 4) local, reqd_wg_size(2, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 2>(Q, range<3>(8, 8, 8), range<3>(2, 2, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (4, 4) local, reqd_wg_size(2, 2)
+  // -> fail
+  FailureCounter += runNegativeTest<2, 2>(Q, range<2>(8, 8), range<2>(4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (4, 2) local, reqd_wg_size(2, 2)
+  // -> fail
+  FailureCounter += runNegativeTest<2, 2>(Q, range<2>(8, 8), range<2>(4, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (2, 4) local, reqd_wg_size(2, 2)
+  // -> fail
+  FailureCounter += runNegativeTest<2, 2>(Q, range<2>(8, 8), range<2>(2, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8) global, (4) local, reqd_wg_size(2)
+  // -> fail
+  FailureCounter += runNegativeTest<2>(Q, range<1>(8), range<1>(4));
+
+  //****************************************************************************
+  // Negative tests where local work-group size has elements that are less than
+  // required in that dimension. reqd_work_group_size is uniform.
+  //****************************************************************************
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 2) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 4) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(2, 2, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 2, 2) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(4, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 2, 2) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(2, 4, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 4, 4) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(2, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 2, 4) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(4, 2, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 2) local, reqd_wg_size(4, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 4>(Q, range<3>(8, 8, 8), range<3>(4, 4, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (2, 2) local, reqd_wg_size(4, 4)
+  // -> fail
+  FailureCounter += runNegativeTest<4, 4>(Q, range<2>(8, 8), range<2>(2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (2, 4) local, reqd_wg_size(4, 4)
+  // -> fail
+  FailureCounter += runNegativeTest<4, 4>(Q, range<2>(8, 8), range<2>(2, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (4, 2) local, reqd_wg_size(4, 4)
+  // -> fail
+  FailureCounter += runNegativeTest<4, 4>(Q, range<2>(8, 8), range<2>(4, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8) global, (2) local, reqd_wg_size(4)
+  // -> fail
+  FailureCounter += runNegativeTest<4>(Q, range<1>(8), range<1>(2));
+
+  //****************************************************************************
+  // Negative tests where local work-group size has elements that are greater
+  // than required in that dimension. reqd_work_group_size is non-uniform.
+  //****************************************************************************
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 2) local, reqd_wg_size(4, 4, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 2>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 2) local, reqd_wg_size(4, 2, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 2, 4>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 4, 4) local, reqd_wg_size(2, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 4, 4>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 2) local, reqd_wg_size(4, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 2, 2>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 2) local, reqd_wg_size(2, 4, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 4, 2>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (2, 2, 2) local, reqd_wg_size(2, 2, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 4>(Q, range<3>(8, 8, 8), range<3>(2, 2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (2, 2) local, reqd_wg_size(4, 2)
+  // -> fail
+  FailureCounter += runNegativeTest<4, 2>(Q, range<2>(8, 8), range<2>(2, 2));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (2, 2) local, reqd_wg_size(2, 4)
+  // -> fail
+  FailureCounter += runNegativeTest<2, 4>(Q, range<2>(8, 8), range<2>(2, 2));
+
+  //****************************************************************************
+  // Negative tests where local work-group size has elements that are less than
+  // required in that dimension. reqd_work_group_size is non-uniform.
+  //****************************************************************************
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 4) local, reqd_wg_size(2, 2, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 2, 4>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 4) local, reqd_wg_size(4, 2, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 2, 2>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 4) local, reqd_wg_size(2, 4, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 4, 2>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 4) local, reqd_wg_size(2, 4, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<2, 4, 4>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 4) local, reqd_wg_size(4, 2, 4)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 2, 4>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8, 8) global, (4, 4, 2) local, reqd_wg_size(4, 4, 2)
+  // -> fail
+  FailureCounter +=
+      runNegativeTest<4, 4, 2>(Q, range<3>(8, 8, 8), range<3>(4, 4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (4, 4) local, reqd_wg_size(2, 4)
+  // -> fail
+  FailureCounter += runNegativeTest<2, 4>(Q, range<2>(8, 8), range<2>(4, 4));
+
+  // Negative test case: Specify local size that does not match required size.
+  // parallel_for, (8, 8) global, (4, 4) local, reqd_wg_size(4, 2)
+  // -> fail
+  FailureCounter += runNegativeTest<4, 2>(Q, range<2>(8, 8), range<2>(4, 4));
+
+  return FailureCounter;
+}
diff --git a/sycl/test-e2e/Basic/sampler/sampler.cpp b/sycl/test-e2e/Basic/sampler/sampler.cpp
new file mode 100644
index 0000000000000..360dc172c6cb5
--- /dev/null
+++ b/sycl/test-e2e/Basic/sampler/sampler.cpp
@@ -0,0 +1,103 @@
+// REQUIRES: opencl
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--------------- sampler.cpp - SYCL sampler basic test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <iostream>
+#include <sycl/context.hpp>
+#include <sycl/sycl.hpp>
+
+namespace sycl {
+using namespace sycl;
+}
+
+struct SamplerWrapper {
+  SamplerWrapper(sycl::coordinate_normalization_mode Norm,
+                 sycl::addressing_mode Addr, sycl::filtering_mode Filter)
+      : Smpl(Norm, Addr, Filter), A(0) {}
+
+  sycl::sampler Smpl;
+  int A;
+};
+
+int main() {
+  // Check constructor from enums
+  sycl::sampler A(sycl::coordinate_normalization_mode::unnormalized,
+                  sycl::addressing_mode::clamp, sycl::filtering_mode::nearest);
+  assert(A.get_addressing_mode() == sycl::addressing_mode::clamp);
+  assert(A.get_coordinate_normalization_mode() ==
+         sycl::coordinate_normalization_mode::unnormalized);
+  assert(A.get_filtering_mode() == sycl::filtering_mode::nearest);
+
+  sycl::queue Queue;
+  sycl::sampler B(A);
+
+  // Check copy constructor
+  assert(A.get_addressing_mode() == B.get_addressing_mode() &&
+         A.get_coordinate_normalization_mode() ==
+             B.get_coordinate_normalization_mode() &&
+         A.get_filtering_mode() == B.get_filtering_mode());
+
+  // Check assignment operator
+  B = sycl::sampler(sycl::coordinate_normalization_mode::normalized,
+                    sycl::addressing_mode::repeat,
+                    sycl::filtering_mode::linear);
+
+  assert(B.get_addressing_mode() == sycl::addressing_mode::repeat);
+  assert(B.get_coordinate_normalization_mode() ==
+         sycl::coordinate_normalization_mode::normalized);
+  assert(B.get_filtering_mode() == sycl::filtering_mode::linear);
+
+  // Check hasher
+  std::hash<sycl::sampler> Hasher;
+  assert(Hasher(A) != Hasher(B));
+
+  // Check move assignment
+  sycl::sampler C(B);
+  A = std::move(B);
+  assert(Hasher(C) == Hasher(A));
+  assert(C == A);
+
+  SamplerWrapper WrappedSmplr(sycl::coordinate_normalization_mode::normalized,
+                              sycl::addressing_mode::repeat,
+                              sycl::filtering_mode::linear);
+
+  // Device sampler.
+  {
+    sycl::queue Queue;
+    Queue.submit([&](sycl::handler &cgh) {
+      cgh.single_task<class kernel>([=]() {
+        sycl::sampler C = A;
+        sycl::sampler D(C);
+        sycl::sampler E(WrappedSmplr.Smpl);
+      });
+    });
+  }
+
+  {
+    sycl::sampler Sampler(
+        sycl::coordinate_normalization_mode::unnormalized,
+        sycl::addressing_mode::clamp, sycl::filtering_mode::nearest,
+        sycl::property_list{sycl::property::buffer::use_host_ptr{}});
+
+    if (!Sampler.has_property<sycl::property::buffer::use_host_ptr>()) {
+      std::cerr << "Line " << __LINE__ << ": Property was not found"
+                << std::endl;
+      return 1;
+    }
+
+    sycl::property::buffer::use_host_ptr Prop =
+        Sampler.get_property<sycl::property::buffer::use_host_ptr>();
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/scalar_vec_access.cpp b/sycl/test-e2e/Basic/scalar_vec_access.cpp
new file mode 100644
index 0000000000000..fc12c7bb86a0d
--- /dev/null
+++ b/sycl/test-e2e/Basic/scalar_vec_access.cpp
@@ -0,0 +1,54 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+//==------- scalar_vec_access.cpp - SYCL scalar access to vec test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// CHECK-NOT: Error: unexpected behavior because of accessing element of the
+// vector by reference
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+typedef float float4_t __attribute__((ext_vector_type(4)));
+
+int main() {
+
+  sycl::queue Q;
+
+  Q.submit([=](sycl::handler &cgh) {
+    sycl::stream out(1024, 100, cgh);
+    cgh.single_task<class K>([=]() {
+      // Test that it is possible to get a reference to single element of the
+      // vector type. This behavior could possibly change in the future, this
+      // test is necessary to track that.
+      float4_t my_float4 = {0.0f, 1.0f, 2.0f, 3.0f};
+      float f[4];
+      for (int i = 0; i < 4; ++i) {
+        f[i] = reinterpret_cast<float *>(&my_float4)[i];
+        if (f[i] != i)
+          out << "Error: unexpected behavior because of accessing element of "
+                 "the vector by reference"
+              << sycl::endl;
+      }
+
+      // Test that there is no template resolution error
+      sycl::float4 a = {1.0f, 2.0f, 3.0f, 4.0f};
+      out << sycl::native::recip(a.x()) << sycl::endl;
+    });
+  });
+  Q.wait();
+
+  // Test that there is no ambiguity in overload resolution.
+  sycl::float4 a = {1.0f, 2.0f, 3.0f, 4.0f};
+  std::cout << a.x() << std::endl;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/span.cpp b/sycl/test-e2e/Basic/span.cpp
new file mode 100644
index 0000000000000..db45ce35c2762
--- /dev/null
+++ b/sycl/test-e2e/Basic/span.cpp
@@ -0,0 +1,112 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Fails to release USM pointer on HIP for NVIDIA
+// XFAIL: hip_nvidia
+
+#include <numeric>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void testSpanCapture() {
+  // This test creates spans that are backed by USM.
+  // ensures they can be captured by device lambda
+  // and that read and write operations function correctly
+  // across capture.
+  queue Q;
+
+  constexpr long numReadTests = 2;
+  const range<1> NumberOfReadTestsRange(numReadTests);
+  buffer<int, 1> SpanRead(NumberOfReadTestsRange);
+
+  // span from a vector
+  // We will create a vector, backed by a USM allocator. And a span from that.
+  using vec_alloc = usm_allocator<int, usm::alloc::shared>;
+  // Create allocator for device associated with q
+  vec_alloc myAlloc(Q);
+  // Create std vector with the allocator
+  std::vector<int, vec_alloc> vecUSM(4, myAlloc);
+  std::iota(vecUSM.begin(), vecUSM.end(), 1);
+  sycl::span<int> vecUSM_span{vecUSM};
+  vecUSM_span[0] += 100; // 101  modify first value using span affordance.
+
+  // span from USM memory
+  auto *usm_data = malloc_shared<int>(4, Q);
+  sycl::span<int> usm_span(usm_data, 4);
+  std::iota(usm_span.begin(), usm_span.end(), 1);
+  usm_span[0] += 100; // 101 modify first value using span affordance.
+
+  event E = Q.submit([&](handler &cgh) {
+    auto can_read_from_span_acc = SpanRead.get_access<access::mode::write>(cgh);
+    cgh.single_task<class hi>([=] {
+      // read from the spans.
+      can_read_from_span_acc[0] = vecUSM_span[0];
+      can_read_from_span_acc[1] = usm_span[0];
+
+      // write to the spans
+      vecUSM_span[1] += 1000;
+      usm_span[1] += 1000;
+    });
+  });
+  E.wait();
+
+  // check out the read operations, should have gotten 101 from each
+  auto can_read_from_span_acc = SpanRead.get_access<access::mode::read>();
+  for (int i = 0; i < numReadTests; i++) {
+    assert(can_read_from_span_acc[i] == 101 &&
+           "read check should have gotten 100");
+  }
+
+  // were the spans successfully modified via write?
+  assert(vecUSM_span[1] == 1002 &&
+         "vecUSM_span write check should have gotten 1001");
+  assert(usm_span[1] == 1002 && "usm_span write check should have gotten 1001");
+
+  free(usm_data, Q);
+}
+
+void set_all_span_values(sycl::span<int> container, int v) {
+  for (auto &e : container)
+    e = v;
+}
+
+void testSpanOnDevice() {
+  // this test creates a simple span on device,
+  // passes it to a function that operates on it
+  // and ensures it worked correctly
+  queue Q;
+  constexpr long numReadTests = 4;
+  const range<1> NumberOfReadTestsRange(numReadTests);
+  buffer<int, 1> SpanRead(NumberOfReadTestsRange);
+
+  event E = Q.submit([&](handler &cgh) {
+    auto can_read_from_span_acc = SpanRead.get_access<access::mode::write>(cgh);
+    cgh.single_task<class ha>([=] {
+      // create a span on device, pass it to function that modifies it
+      // read values back out.
+      int a[]{1, 2, 3, 4};
+      sycl::span<int> a_span{a};
+      set_all_span_values(a_span, 10);
+      for (int i = 0; i < numReadTests; i++)
+        can_read_from_span_acc[i] = a_span[i];
+    });
+  });
+  E.wait();
+
+  // check out the read operations, should have gotten 10 from each
+  auto can_read_from_span_acc = SpanRead.get_access<access::mode::read>();
+  for (int i = 0; i < numReadTests; i++) {
+    assert(can_read_from_span_acc[i] == 10 &&
+           "read check should have gotten 10");
+  }
+}
+
+int main() {
+  testSpanCapture();
+  testSpanOnDevice();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/stream/a.out b/sycl/test-e2e/Basic/stream/a.out
new file mode 100755
index 0000000000000..81a1a07dc904e
Binary files /dev/null and b/sycl/test-e2e/Basic/stream/a.out differ
diff --git a/sycl/test-e2e/Basic/stream/auto_flush.cpp b/sycl/test-e2e/Basic/stream/auto_flush.cpp
new file mode 100644
index 0000000000000..9da8378613f07
--- /dev/null
+++ b/sycl/test-e2e/Basic/stream/auto_flush.cpp
@@ -0,0 +1,36 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// TODO: Enable on host when commands cleanup will be implemented in scheduler
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_ON_LINUX_PLACEHOLDER %t.out %GPU_CHECK_ON_LINUX_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+//==-------------- copy.cpp - SYCL stream obect auto flushing test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Queue;
+
+  // Test that data is flushed to the buffer at the end of kernel execution even
+  // without explicit flush
+  Queue.submit([&](handler &CGH) {
+    stream Out(1024, 80, CGH);
+    CGH.parallel_for<class auto_flush1>(
+        range<1>(2), [=](id<1> i) { Out << "Hello World!\n"; });
+  });
+  Queue.wait();
+  // CHECK: Hello World!
+  // CHECK-NEXT: Hello World!
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/stream/blocking_pipes_and_stream.cpp b/sycl/test-e2e/Basic/stream/blocking_pipes_and_stream.cpp
new file mode 100644
index 0000000000000..2b19387185be7
--- /dev/null
+++ b/sycl/test-e2e/Basic/stream/blocking_pipes_and_stream.cpp
@@ -0,0 +1,83 @@
+// REQUIRES: accelerator
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+// Test that usage of blocking pipes and stream object in the same kernel
+// doesn't cause program hang.
+
+// CHECK: 0
+// CHECK-NEXT: 1
+// CHECK-NEXT: 2
+// CHECK-NEXT: 3
+// CHECK-NEXT: 4
+// CHECK-NEXT: 5
+// CHECK-NEXT: 6
+// CHECK-NEXT: 7
+// CHECK-NEXT: 8
+// CHECK-NEXT: 9
+// CHECK-NEXT: 0
+// CHECK-NEXT: 1
+// CHECK-NEXT: 2
+// CHECK-NEXT: 3
+// CHECK-NEXT: 4
+// CHECK-NEXT: 5
+// CHECK-NEXT: 6
+// CHECK-NEXT: 7
+// CHECK-NEXT: 8
+// CHECK-NEXT: 9
+
+#include <sycl/ext/intel/fpga_extensions.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t N = 10;
+
+// Specialize a pipe type
+using my_pipe = pipe<class some_pipe, int>;
+
+class producer_task;
+class consumer_task;
+
+void producer(queue &q) {
+  // Launch the producer kernel
+  q.submit([&](handler &cgh) {
+    // Get read access to src buffer
+    sycl::stream out(1024, 16, cgh);
+    cgh.single_task<producer_task>([=] {
+      for (int i = 0; i < N; i++) {
+        // Blocking write an int to the pipe
+        my_pipe::write(i);
+        out << i << sycl::endl;
+      }
+    });
+  });
+}
+
+void consumer(queue &q) {
+  // Launch the consumer kernel
+  q.submit([&](handler &cgh) {
+    // Get write access to dst buffer
+    sycl::stream out(1024, 16, cgh);
+    cgh.single_task<consumer_task>([=] {
+      for (int i = 0; i < N; i++) {
+        // Blocking read an int from the pipe
+        int tmp = my_pipe::read();
+        out << tmp << sycl::endl;
+      }
+    });
+  });
+}
+
+int main() {
+  {
+    queue q;
+
+    producer(q);
+    consumer(q);
+    q.wait();
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/stream/release_resources_test.cpp b/sycl/test-e2e/Basic/stream/release_resources_test.cpp
new file mode 100644
index 0000000000000..91cb9414d83b4
--- /dev/null
+++ b/sycl/test-e2e/Basic/stream/release_resources_test.cpp
@@ -0,0 +1,28 @@
+// Disable temporarily because of the flaky failure.
+// UNSUPPORTED: windows
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+// Check that buffer used by a stream object is released.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  {
+    queue Queue;
+
+    // CHECK:---> piMemRelease
+    Queue.submit([&](handler &CGH) {
+      stream Out(1024, 80, CGH);
+      CGH.parallel_for<class test_cleanup1>(
+          range<1>(2), [=](id<1> i) { Out << "Hello, World!" << endl; });
+    });
+    Queue.wait();
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/stream/stream.cpp b/sycl/test-e2e/Basic/stream/stream.cpp
new file mode 100644
index 0000000000000..d900d1acc7b20
--- /dev/null
+++ b/sycl/test-e2e/Basic/stream/stream.cpp
@@ -0,0 +1,345 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_ON_LINUX_PLACEHOLDER %t.out %GPU_CHECK_ON_LINUX_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+//==------------------ stream.cpp - SYCL stream basic test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#define SYCL_SIMPLE_SWIZZLES
+#include <cassert>
+#include <sycl/context.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  {
+    queue Queue(default_selector_v);
+    context Context = Queue.get_context();
+
+    // Check constructor and getters
+    size_t sizeInKernel = 0;
+    size_t workItemBufferSizeInKernel = 0;
+    {
+      sycl::buffer<size_t> bufSize(&sizeInKernel, 1);
+      sycl::buffer<size_t> bufWorkItemBufferSize(&workItemBufferSizeInKernel,
+                                                 1);
+
+      // Check constructor and getters
+      Queue.submit([&](handler &CGH) {
+        stream Out(1024, 80, CGH,
+                   property_list{property::buffer::context_bound{Context}});
+        assert(Out.size() == 1024);
+        assert(Out.get_work_item_buffer_size() == 80);
+        assert(Out.has_property<property::buffer::context_bound>());
+        assert(!Out.has_property<property::queue::in_order>());
+        assert(
+            Out.get_property<property::buffer::context_bound>().get_context() ==
+            Context);
+
+        sycl::accessor accSize(bufSize, CGH, sycl::write_only);
+        sycl::accessor accWorkItemBufferSize(bufWorkItemBufferSize, CGH,
+                                             sycl::write_only);
+
+        CGH.single_task<class DummyTask1>([=]() {
+          accSize[0] = Out.size();
+          accWorkItemBufferSize[0] = Out.get_work_item_buffer_size();
+        });
+      });
+    }
+    assert(sizeInKernel == 1024);
+    assert(workItemBufferSizeInKernel == 80);
+
+    // Check common reference semantics
+    std::hash<stream> Hasher;
+
+    Queue.submit([&](handler &CGH) {
+      stream Out1(1024, 80, CGH);
+      stream Out2(Out1);
+
+      assert(Out1 == Out2);
+      assert(Hasher(Out1) == Hasher(Out2));
+
+      stream Out3(std::move(Out1));
+
+      assert(Out2 == Out3);
+      assert(Hasher(Out2) == Hasher(Out3));
+
+      CGH.single_task<class DummyTask2>([=]() {});
+    });
+
+    Queue.submit([&](handler &CGH) {
+      stream Out(1024, 80, CGH);
+      CGH.single_task<class integral>([=]() {
+        // String
+        Out << "Hello, World!\n";
+        // CHECK: Hello, World!
+
+        // Char
+        Out << 'a' << '\n';
+        // CHECK-NEXT: a
+
+        // Boolean type
+        Out << true << endl;
+        Out << false << endl;
+        // CHECK-NEXT: true
+        // CHECK-NEXT: false
+
+        // Integral types
+        Out << static_cast<unsigned char>(123) << endl;
+        Out << static_cast<signed char>(-123) << endl;
+        Out << static_cast<short>(2344) << endl;
+        Out << static_cast<signed short>(-2344) << endl;
+        Out << 3454 << endl;
+        Out << -3454 << endl;
+        Out << 3454U << endl;
+        Out << 3454L << endl;
+        Out << 12345678901245UL << endl;
+        Out << -12345678901245LL << endl;
+        Out << 12345678901245ULL << endl;
+        // CHECK-NEXT: 123
+        // CHECK-NEXT: -123
+        // CHECK-NEXT: 2344
+        // CHECK-NEXT: -2344
+        // CHECK-NEXT: 3454
+        // CHECK-NEXT: -3454
+        // CHECK-NEXT: 3454
+        // CHECK-NEXT: 3454
+        // CHECK-NEXT: 12345678901245
+        // CHECK-NEXT: -12345678901245
+        // CHECK-NEXT: 12345678901245
+
+        // Floats
+        Out << 33.4f << endl;
+        Out << -33.4f << endl;
+        Out << -1.0f / 0.0f << endl;
+        Out << 1.0f / 0.0f << endl;
+        Out << sycl::sqrt(-1.0f) << endl;
+        // CHECK-NEXT: 33.4
+        // CHECK-NEXT: -33.4
+        // CHECK-NEXT: -inf
+        // CHECK-NEXT: inf
+        // CHECK-NEXT: nan
+
+        // Manipulators for integral types
+        Out << dec << 0213 << endl;
+        Out << dec << 0x213A << endl;
+        Out << oct << 139 << endl;
+        Out << hex << 8506 << endl;
+        // CHECK-NEXT: 139
+        // CHECK-NEXT: 8506
+        // CHECK-NEXT: 213
+        // CHECK-NEXT: 213a
+
+        Out << oct << showbase << 8506 << ' ' << noshowbase << 8506 << endl;
+        Out << hex << showbase << 8506 << ' ' << noshowbase << 8506 << endl;
+        Out << dec << showbase << 8506 << ' ' << noshowbase << 8506 << endl;
+        // CHECK-NEXT: 020472 20472
+        // CHECK-NEXT: 0x213a 213a
+        // CHECK-NEXT: 8506 8506
+
+        Out << dec << showpos << 234 << ' ' << noshowpos << 234 << endl;
+        Out << hex << showpos << 234 << ' ' << noshowpos << 234 << endl;
+        Out << oct << showpos << 234 << ' ' << noshowpos << 234 << endl;
+        // CHECK-NEXT: +234 234
+        // CHECK-NEXT: ea ea
+        // CHECK-NEXT: 352 352
+
+        Out << hex << showpos << -1 << ' ' << noshowpos << -1 << endl;
+        Out << oct << showpos << -1 << ' ' << noshowpos << -1 << endl;
+        Out << dec << showpos << -1 << ' ' << noshowpos << -1 << endl;
+        // CHECK-NEXT: ffffffff ffffffff
+        // CHECK-NEXT: 37777777777 37777777777
+        // CHECK-NEXT: -1 -1
+
+        // Pointers
+        int a = 5;
+        int *Ptr = &a;
+        Out << Ptr << endl;
+        const int *const ConstPtr = &a;
+        Out << ConstPtr << endl;
+        auto multiPtr = private_ptr<int>(Ptr);
+        Out << multiPtr << endl;
+        // CHECK-NEXT: 0x{{[0-9a-fA-F]*$}}
+        // CHECK-NEXT: 0x{{[0-9a-fA-F]*$}}
+        // CHECK-NEXT: 0x{{[0-9a-fA-F]*$}}
+
+        // Vectors
+        vec<int, 1> f1(545);
+        Out << f1 << endl;
+        vec<int, 2> f2(545, 645);
+        Out << f2 << endl;
+        vec<int, 3> f3(545, 645, 771);
+        Out << f3 << endl;
+        vec<int, 4> f4(542325, 645, 771, 1024);
+        Out << hex << showbase << f4 << endl;
+        Out << dec << f4 << endl;
+        vec<float, 4> f5(542.3f, 645.3f, 771.6f, 1024.2f);
+        Out << f5 << endl;
+        // CHECK-NEXT: 545
+        // CHECK-NEXT: 545, 645
+        // CHECK-NEXT: 545, 645, 771
+        // CHECK-NEXT: 0x84675, 0x285, 0x303, 0x400
+        // CHECK-NEXT: 542325, 645, 771, 1024
+        // CHECK-NEXT: 542.3, 645.3, 771.6, 1024.2
+
+        // Swizzles
+        Out << f4.xyzw() << endl;
+        // CHECK-NEXT: 542325, 645, 771, 1024
+
+        // SYCL types
+        Out << id<1>(23) << endl;
+        Out << range<1>(32) << endl;
+        Out << id<3>(11, 12, 13) << endl;
+        Out << range<3>(11, 12, 13) << endl;
+        Out << sycl::nd_range<3>(sycl::range<3>(2, 4, 1),
+                                 sycl::range<3>(1, 2, 1))
+            << endl;
+        // CHECK-NEXT: {23}
+        // CHECK-NEXT: {32}
+        // CHECK-NEXT: {11, 12, 13}
+        // CHECK-NEXT: {11, 12, 13}
+        // CHECK-NEXT: nd_range(global_range: {2, 4, 1}, local_range: {1, 2, 1},
+        // offset: {0, 0, 0})
+      });
+    });
+    Queue.wait();
+
+    if (Queue.get_device().has(sycl::aspect::fp64)) {
+      Queue.submit([&](handler &CGH) {
+        stream Out(1024, 80, CGH);
+        CGH.single_task<class doubles>([=]() {
+          // Double
+          Out << 5.2 << endl;
+          Out << -5.2 << endl;
+          Out << 0.0003 << endl;
+          Out << -1.0 / 0.0 << endl;
+          Out << 1.0 / 0.0 << endl;
+          Out << sycl::sqrt(-1.0) << endl;
+        });
+      });
+      Queue.wait();
+    } else {
+      // Repeat skipped message same number of times as the number of skipped
+      // output lines.
+      for (size_t I = 0; I < 6; ++I)
+        std::cout << "Skipped double test." << std::endl;
+    }
+    // CHECK-NEXT: {{(5.2|Skipped double test.)}}
+    // CHECK-NEXT: {{(-5.2|Skipped double test.)}}
+    // CHECK-NEXT: {{(0.0003|Skipped double test.)}}
+    // CHECK-NEXT: {{(-inf|Skipped double test.)}}
+    // CHECK-NEXT: {{(inf|Skipped double test.)}}
+    // CHECK-NEXT: {{(nan|Skipped double test.)}}
+
+    // Stream in parallel_for
+    Queue.submit([&](handler &CGH) {
+      stream Out(1024, 80, CGH);
+      CGH.parallel_for<class stream_string>(
+          range<1>(10), [=](id<1> i) { Out << "Hello, World!" << endl; });
+    });
+    Queue.wait();
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+
+    // nd_item
+    Queue.submit([&](handler &CGH) {
+      stream Out(1024, 80, CGH);
+      CGH.parallel_for<class stream_nd_range>(
+          nd_range<3>(range<3>(4, 4, 4), range<3>(2, 2, 2)),
+          [=](nd_item<3> item) {
+            if (item.get_global_id(0) == 1 && item.get_global_id(1) == 2 &&
+                item.get_global_id(2) == 3)
+              Out << item << endl;
+          });
+    });
+    Queue.wait();
+    // CHECK-NEXT: nd_item(global_id: {1, 2, 3}, local_id: {1, 0, 1})
+
+    Queue.submit([&](handler &CGH) {
+      stream Out(1024, 200, CGH);
+      CGH.parallel_for_work_group<class stream_h_item>(
+          range<3>(1, 1, 1), range<3>(1, 1, 1), [=](group<3> Group) {
+            Group.parallel_for_work_item(
+                [&](h_item<3> Item) { Out << Item << endl; });
+          });
+    });
+    Queue.wait();
+    // CHECK-NEXT: h_item(
+    // CHECK-NEXT:   global item(range: {1, 1, 1}, id: {0, 0, 0})
+    // CHECK-NEXT:   logical local item(range: {1, 1, 1}, id: {0, 0, 0})
+    // CHECK-NEXT:   physical local item(range: {1, 1, 1}, id: {0, 0, 0})
+    // CHECK-NEXT: )
+
+    // Multiple streams in command group
+    Queue.submit([&](handler &CGH) {
+      stream Out1(1024, 80, CGH);
+      stream Out2(500, 20, CGH);
+      CGH.parallel_for<class multiple_streams>(range<1>(2), [=](id<1> i) {
+        Out1 << "Hello, World!" << endl;
+        Out2 << "Hello, World!" << endl;
+      });
+    });
+    Queue.wait();
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+    // CHECK-NEXT: Hello, World!
+
+    // The case when stream buffer is full. To check that there is no problem
+    // with end of line symbol when printing out the stream buffer.
+    Queue.submit([&](handler &CGH) {
+      stream Out(10, 10, CGH);
+      CGH.parallel_for<class full_stream_buffer>(
+          range<1>(2), [=](id<1> i) { Out << "aaaaaaaaa" << endl; });
+    });
+    Queue.wait();
+    // CHECK-NEXT: aaaaaaaaa
+
+    // Use a big statement size to verify the stream internal implementation can
+    // create a big enough flush buffer in global memory to handle this case.
+    range<1> global = 16;
+    range<1> local = 16;
+    Queue.submit([&](handler &cgh) {
+      stream ostream(198, 8192, cgh);
+      cgh.parallel_for<class test_stream>(
+          nd_range<1>(global, local), [=](nd_item<1> it) {
+            ostream << "global id " << it.get_global_id(0)
+                    << stream_manipulator::endl;
+          });
+    });
+    Queue.wait();
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+    // CHECK: global id {{[0-9]+}}
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/stream/stream_copies_buffer_sync.cpp b/sycl/test-e2e/Basic/stream/stream_copies_buffer_sync.cpp
new file mode 100644
index 0000000000000..e32d1d7f997ca
--- /dev/null
+++ b/sycl/test-e2e/Basic/stream/stream_copies_buffer_sync.cpp
@@ -0,0 +1,38 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_ON_LINUX_PLACEHOLDER %t.out %GPU_CHECK_ON_LINUX_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void dev_func(stream out) { out << "dev_func print\n"; }
+
+int main() {
+  {
+    queue Queue;
+
+    Queue.submit([&](handler &cgh) {
+      stream stream1(1024, 160, cgh);
+      cgh.parallel_for<class test_dev_func_stream>(
+          nd_range<1>(range<1>(1), range<1>(1)), [=](sycl::nd_item<1> it) {
+            stream1 << "stream1 print 1\n";
+            dev_func(stream1);
+            sycl::stream stream2 = stream1;
+            stream1 << "stream1 print 2" << sycl::endl;
+            stream2 << "stream2 print 1\n";
+            stream1 << "stream1 print 3\n";
+            stream2 << sycl::flush;
+          });
+    });
+    Queue.wait();
+    // CHECK: stream1 print 1
+    // CHECK-NEXT: dev_func print
+    // CHECK-NEXT: stream1 print 2
+    // CHECK-NEXT: stream2 print 1
+    // CHECK-NEXT: stream1 print 3
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/stream/stream_max_stmt_exceed.cpp b/sycl/test-e2e/Basic/stream/stream_max_stmt_exceed.cpp
new file mode 100644
index 0000000000000..f333368246099
--- /dev/null
+++ b/sycl/test-e2e/Basic/stream/stream_max_stmt_exceed.cpp
@@ -0,0 +1,25 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_ON_LINUX_PLACEHOLDER %t.out %GPU_CHECK_ON_LINUX_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+int main() {
+  sycl::queue Queue;
+  try {
+    Queue.submit([&](sycl::handler &cgh) {
+      sycl::stream Out(100, 65536, cgh);
+      cgh.single_task<class test_max_stmt_exceed>(
+          [=]() { Out << "Hello world!" << sycl::endl; });
+    });
+    Queue.wait();
+  } catch (sycl::exception &ExpectedException) {
+    // CHECK: Maximum statement size exceeds limit of 65535 bytes
+    std::cout << ExpectedException.what() << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/sub_group_size_prop.cpp b/sycl/test-e2e/Basic/sub_group_size_prop.cpp
new file mode 100644
index 0000000000000..50d4cd8b83f51
--- /dev/null
+++ b/sycl/test-e2e/Basic/sub_group_size_prop.cpp
@@ -0,0 +1,115 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+enum class Variant { Function, Functor, FunctorAndProperty };
+
+template <Variant KernelVariant, size_t SGSize> class SubGroupKernel;
+
+template <size_t SGSize> struct KernelFunctorWithSGSizeProp {
+  accessor<size_t, 1, access_mode::write> Acc;
+
+  KernelFunctorWithSGSizeProp(accessor<size_t, 1, access_mode::write> Acc)
+      : Acc(Acc) {}
+
+  void operator()(nd_item<1> NdItem) const {
+    auto SG = NdItem.get_sub_group();
+    if (NdItem.get_global_linear_id() == 0)
+      Acc[0] = SG.get_local_linear_range();
+  }
+
+  auto get(sycl::ext::oneapi::experimental::properties_tag) {
+    return sycl::ext::oneapi::experimental::properties{
+        sycl::ext::oneapi::experimental::sub_group_size<SGSize>};
+  }
+};
+
+template <size_t SGSize>
+void test(queue &Queue, const std::vector<size_t> SupportedSGSizes) {
+  std::cout << "Testing sub_group_size property for sub-group size=" << SGSize
+            << std::endl;
+
+  auto SGSizeSupported =
+      std::find(SupportedSGSizes.begin(), SupportedSGSizes.end(), SGSize) !=
+      SupportedSGSizes.end();
+  if (!SGSizeSupported) {
+    std::cout << "Sub-group size " << SGSize
+              << " is not supported on the device." << std::endl;
+    return;
+  }
+
+  auto Props = ext::oneapi::experimental::properties{
+      ext::oneapi::experimental::sub_group_size<SGSize>};
+
+  nd_range<1> NdRange(SGSize * 4, SGSize * 2);
+
+  size_t ReadSubGroupSize = 0;
+  {
+    buffer ReadSubGroupSizeBuf(&ReadSubGroupSize, range(1));
+
+    Queue.submit([&](handler &CGH) {
+      accessor ReadSubGroupSizeBufAcc{ReadSubGroupSizeBuf, CGH,
+                                      sycl::write_only, sycl::no_init};
+
+      CGH.parallel_for<SubGroupKernel<Variant::Function, SGSize>>(
+          NdRange, Props, [=](nd_item<1> NdItem) {
+            auto SG = NdItem.get_sub_group();
+            if (NdItem.get_global_linear_id() == 0)
+              ReadSubGroupSizeBufAcc[0] = SG.get_local_linear_range();
+          });
+    });
+  }
+  assert(ReadSubGroupSize == SGSize && "Failed check for function.");
+
+  ReadSubGroupSize = 0;
+  {
+    buffer ReadSubGroupSizeBuf(&ReadSubGroupSize, range(1));
+
+    Queue.submit([&](handler &CGH) {
+      accessor ReadSubGroupSizeBufAcc{ReadSubGroupSizeBuf, CGH,
+                                      sycl::write_only, sycl::no_init};
+      KernelFunctorWithSGSizeProp<SGSize> KernelFunctor{ReadSubGroupSizeBufAcc};
+
+      CGH.parallel_for<SubGroupKernel<Variant::Functor, SGSize>>(NdRange,
+                                                                 KernelFunctor);
+    });
+  }
+  assert(ReadSubGroupSize == SGSize && "Failed check for functor.");
+
+  ReadSubGroupSize = 0;
+  {
+    buffer ReadSubGroupSizeBuf(&ReadSubGroupSize, range(1));
+
+    Queue.submit([&](handler &CGH) {
+      accessor ReadSubGroupSizeBufAcc{ReadSubGroupSizeBuf, CGH,
+                                      sycl::write_only, sycl::no_init};
+      KernelFunctorWithSGSizeProp<SGSize> KernelFunctor{ReadSubGroupSizeBufAcc};
+
+      CGH.parallel_for<SubGroupKernel<Variant::Functor, SGSize>>(NdRange, Props,
+                                                                 KernelFunctor);
+    });
+  }
+  assert(ReadSubGroupSize == SGSize &&
+         "Failed check for functor and properties.");
+}
+
+int main() {
+  queue Q;
+  std::vector<size_t> SupportedSGSizes =
+      Q.get_device().get_info<info::device::sub_group_sizes>();
+
+  test<1>(Q, SupportedSGSizes);
+  test<8>(Q, SupportedSGSizes);
+  test<16>(Q, SupportedSGSizes);
+  test<32>(Q, SupportedSGSizes);
+  test<64>(Q, SupportedSGSizes);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/subdevice.cpp b/sycl/test-e2e/Basic/subdevice.cpp
new file mode 100644
index 0000000000000..99e37a347f645
--- /dev/null
+++ b/sycl/test-e2e/Basic/subdevice.cpp
@@ -0,0 +1,170 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------------ subdevice.cpp - SYCL subdevice basic test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+#include <utility>
+
+using namespace sycl;
+
+int main() {
+  try {
+    auto devices = device::get_devices();
+    for (const auto &dev : devices) {
+      assert(dev.get_info<info::device::partition_type_property>() ==
+             info::partition_property::no_partition);
+
+      size_t MaxSubDevices =
+          dev.get_info<info::device::partition_max_sub_devices>();
+      if (MaxSubDevices == 0)
+        continue;
+
+      try {
+        auto SubDevicesEq =
+            dev.create_sub_devices<info::partition_property::partition_equally>(
+                1);
+        assert(SubDevicesEq.size() == MaxSubDevices &&
+               "Requested 1 compute unit in each subdevice, expected maximum "
+               "number of subdevices in output");
+        std::cout << "Created " << SubDevicesEq.size()
+                  << " subdevices using equal partition scheme" << std::endl;
+
+        assert(
+            SubDevicesEq[0].get_info<info::device::partition_type_property>() ==
+            info::partition_property::partition_equally);
+
+        assert(sycl::get_native<sycl::backend::opencl>(
+                   SubDevicesEq[0].get_info<info::device::parent_device>()) ==
+               sycl::get_native<sycl::backend::opencl>(dev));
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        std::vector<size_t> Counts(MaxSubDevices, 1);
+        auto SubDevicesByCount = dev.create_sub_devices<
+            info::partition_property::partition_by_counts>(Counts);
+        assert(SubDevicesByCount.size() == MaxSubDevices &&
+               "Maximum number of subdevices was requested with 1 compute unit "
+               "on each");
+        std::cout << "Created " << SubDevicesByCount.size()
+                  << " subdevices using partition by counts scheme."
+                  << std::endl;
+        assert(SubDevicesByCount[0]
+                   .get_info<info::device::partition_type_property>() ==
+               info::partition_property::partition_by_counts);
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainNuma = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::numa);
+        std::cout
+            << "Created " << SubDevicesDomainNuma.size()
+            << " subdevices using partition by numa affinity domain scheme."
+            << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL4 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L4_cache);
+        std::cout << "Created " << SubDevicesDomainL4.size()
+                  << " subdevices using partition by L4 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL3 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L3_cache);
+        std::cout << "Created " << SubDevicesDomainL3.size()
+                  << " subdevices using partition by L3 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL2 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L2_cache);
+        std::cout << "Created " << SubDevicesDomainL2.size()
+                  << " subdevices using partition by L2 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL1 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L1_cache);
+        std::cout << "Created " << SubDevicesDomainL1.size()
+                  << " subdevices using partition by L1 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainNextPart = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::next_partitionable);
+        std::cout << "Created " << SubDevicesDomainNextPart.size()
+                  << " subdevices using partition by next partitionable "
+                     "domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      // test exception
+      try {
+        const size_t out_of_bounds = std::numeric_limits<size_t>::max();
+        const auto partition =
+            sycl::info::partition_property::partition_equally;
+        dev.create_sub_devices<partition>(out_of_bounds);
+        std::cout << "we should not be here. Exception not thrown."
+                  << std::endl;
+        return 1;
+      } catch (sycl::exception &e) {
+        const auto code = e.code();
+
+        if (!(code == sycl::errc::feature_not_supported ||
+              code == sycl::errc::invalid)) {
+          std::cout << "SYCL exception has wrong error code: " << code
+                    << std::endl;
+          return 1;
+        }
+      } catch (...) {
+        std::cout << "Something besides a sycl::exception was thrown."
+                  << std::endl;
+        return 1;
+      }
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return 1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/subdevice_pi.cpp b/sycl/test-e2e/Basic/subdevice_pi.cpp
new file mode 100644
index 0000000000000..a25f147a5698a
--- /dev/null
+++ b/sycl/test-e2e/Basic/subdevice_pi.cpp
@@ -0,0 +1,226 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=2 %t.out separate equally %CPU_CHECK_PLACEHOLDER --check-prefix CHECK-SEPARATE
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=2 %t.out shared equally %CPU_CHECK_PLACEHOLDER --check-prefix CHECK-SHARED --implicit-check-not piContextCreate --implicit-check-not piMemBufferCreate
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=2 %t.out fused  equally %CPU_CHECK_PLACEHOLDER --check-prefix CHECK-FUSED --implicit-check-not piContextCreate --implicit-check-not piMemBufferCreate
+//
+// Intel OpenCL CPU Runtime supports device partition on all (multi-core)
+// platforms. Other devices may not support this.
+
+#include <iostream>
+#include <string>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+// Log to the same stream as SYCL_PI_TRACE
+static void log_pi(const char *msg) { std::cout << msg << std::endl; }
+
+static void use_mem(buffer<int, 1> buf, queue q) {
+  q.submit([&](handler &cgh) {
+    auto acc = buf.get_access<access::mode::read_write>(cgh);
+    cgh.parallel_for<class sum1>(range<1>(buf.get_count()),
+                                 [=](item<1> itemID) { acc[itemID] += 1; });
+  });
+  q.wait();
+}
+
+typedef std::vector<device> (*partition_fn)(device dev);
+
+// FIXME: `partition_by_affinity_domain' is currently not tested: OpenCL CPU
+// device only supports `partition_equally'.
+static std::vector<device> partition_affinity(device dev) {
+  std::vector<device> subdevices = dev.create_sub_devices<
+      info::partition_property::partition_by_affinity_domain>(
+      info::partition_affinity_domain::next_partitionable);
+
+  return subdevices;
+}
+
+static std::vector<device> partition_equally(device dev) {
+  std::vector<device> subdevices =
+      dev.create_sub_devices<info::partition_property::partition_equally>(1);
+
+  return subdevices;
+}
+
+static bool check_separate(device dev, buffer<int, 1> buf,
+                           partition_fn partition) {
+  log_pi("Create sub devices");
+  std::vector<device> subdevices = partition(dev);
+  assert(subdevices.size() > 1);
+  // CHECK-SEPARATE: Create sub devices
+  // CHECK-SEPARATE: ---> piDevicePartition
+
+  log_pi("Test sub device 0");
+  {
+    queue q0(subdevices[0]);
+    use_mem(buf, q0);
+  }
+  // CHECK-SEPARATE: Test sub device 0
+  // CHECK-SEPARATE: ---> piContextCreate
+  // CHECK-SEPARATE: ---> piextQueueCreate
+  // CHECK-SEPARATE: ---> piMemBufferCreate
+  // CHECK-SEPARATE: ---> piEnqueueKernelLaunch
+  // CHECK-SEPARATE: ---> piQueueFinish
+
+  log_pi("Test sub device 1");
+  {
+    queue q1(subdevices[1]);
+    use_mem(buf, q1);
+  }
+  // CHECK-SEPARATE: Test sub device 1
+  // CHECK-SEPARATE: ---> piContextCreate
+  // CHECK-SEPARATE: ---> piextQueueCreate
+  // CHECK-SEPARATE: ---> piMemBufferCreate
+  //
+  // Verify that we have a memcpy between subdevices in this case
+  // CHECK-SEPARATE: ---> piEnqueueMemBuffer{{Map|Read}}
+  // CHECK-SEPARATE: ---> piEnqueueMemBufferWrite
+  //
+  // CHECK-SEPARATE: ---> piEnqueueKernelLaunch
+  // CHECK-SEPARATE: ---> piQueueFinish
+
+  return true;
+}
+
+static bool check_shared_context(device dev, buffer<int, 1> buf,
+                                 partition_fn partition) {
+  log_pi("Create sub devices");
+  std::vector<device> subdevices = partition(dev);
+  assert(subdevices.size() > 1);
+  // CHECK-SHARED: Create sub devices
+  // CHECK-SHARED: ---> piDevicePartition
+
+  // Shared context: queues are bound to specific subdevices, but
+  // memory does not migrate
+  log_pi("Create shared context");
+  context shared_context(subdevices);
+  // CHECK-SHARED: Create shared context
+  // CHECK-SHARED: ---> piContextCreate
+  //
+  // Make sure that a single context is created: see --implicit-check-not above.
+
+  log_pi("Test sub device 0");
+  {
+    queue q0(shared_context, subdevices[0]);
+    use_mem(buf, q0);
+  }
+  // CHECK-SHARED: Test sub device 0
+  // CHECK-SHARED: ---> piextQueueCreate
+  // CHECK-SHARED: ---> piMemBufferCreate
+  //
+  // Make sure that a single buffer is created (and shared between subdevices):
+  // see --implicit-check-not above.
+  //
+  // CHECK-SHARED: ---> piEnqueueKernelLaunch
+  // CHECK-SHARED: ---> piQueueFinish
+
+  log_pi("Test sub device 1");
+  {
+    queue q1(shared_context, subdevices[1]);
+    use_mem(buf, q1);
+  }
+  // CHECK-SHARED: Test sub device 1
+  // CHECK-SHARED: ---> piextQueueCreate
+  // CHECK-SHARED: ---> piEnqueueKernelLaunch
+  // CHECK-SHARED: ---> piQueueFinish
+  // CHECK-SHARED: ---> piEnqueueMemBufferRead
+
+  return true;
+}
+
+static bool check_fused_context(device dev, buffer<int, 1> buf,
+                                partition_fn partition) {
+  log_pi("Create sub devices");
+  std::vector<device> subdevices = partition(dev);
+  assert(subdevices.size() > 1);
+  // CHECK-FUSED: Create sub devices
+  // CHECK-FUSED: ---> piDevicePartition
+
+  // Fused context: same as shared context, but also includes the root device
+  log_pi("Create fused context");
+  std::vector<device> devices;
+  devices.push_back(dev);
+  devices.push_back(subdevices[0]);
+  devices.push_back(subdevices[1]);
+  context fused_context(devices);
+  // CHECK-FUSED: Create fused context
+  // CHECK-FUSED: ---> piContextCreate
+  //
+  // Make sure that a single context is created: see --implicit-check-not above.
+
+  log_pi("Test root device");
+  {
+    queue q(fused_context, dev);
+    use_mem(buf, q);
+  }
+  // CHECK-FUSED: Test root device
+  // CHECK-FUSED: ---> piextQueueCreate
+  // CHECK-FUSED: ---> piMemBufferCreate
+  //
+  // Make sure that a single buffer is created (and shared between subdevices
+  // *and* the root device): see --implicit-check-not above.
+  //
+  // CHECK-FUSED: ---> piEnqueueKernelLaunch
+  // CHECK-FUSED: ---> piQueueFinish
+
+  log_pi("Test sub device 0");
+  {
+    queue q0(fused_context, subdevices[0]);
+    use_mem(buf, q0);
+  }
+  // CHECK-FUSED: Test sub device 0
+  // CHECK-FUSED: ---> piextQueueCreate
+  // CHECK-FUSED: ---> piEnqueueKernelLaunch
+  // CHECK-FUSED: ---> piQueueFinish
+
+  log_pi("Test sub device 1");
+  {
+    queue q1(fused_context, subdevices[1]);
+    use_mem(buf, q1);
+  }
+  // CHECK-FUSED: Test sub device 1
+  // CHECK-FUSED: ---> piextQueueCreate
+  // CHECK-FUSED: ---> piEnqueueKernelLaunch
+  // CHECK-FUSED: ---> piQueueFinish
+  // CHECK-FUSED: ---> piEnqueueMemBufferRead
+
+  return true;
+}
+
+int main(int argc, const char **argv) {
+  assert(argc == 3 && "Invalid number of arguments");
+  std::string test(argv[1]);
+  std::string partition_type(argv[2]);
+
+  device dev(default_selector_v);
+
+  std::vector<int> host_mem(1024, 1);
+  buffer<int, 1> buf(&host_mem[0], host_mem.size());
+
+  partition_fn partition;
+  if (partition_type == "equally") {
+    partition = partition_equally;
+  } else if (partition_type == "affinity") {
+    partition = partition_affinity;
+  } else {
+    assert(0 && "Unsupported partition type");
+  }
+
+  bool result = false;
+  if (test == "separate") {
+    result = check_separate(dev, buf, partition);
+  } else if (test == "shared") {
+    result = check_shared_context(dev, buf, partition);
+  } else if (test == "fused") {
+    result = check_fused_context(dev, buf, partition);
+  } else {
+    assert(0 && "Unknown test");
+  }
+
+  if (!result) {
+    fprintf(stderr, "FAILED\n");
+    return EXIT_FAILURE;
+  }
+}
diff --git a/sycl/test-e2e/Basic/submit_barrier.cpp b/sycl/test-e2e/Basic/submit_barrier.cpp
new file mode 100755
index 0000000000000..034abf4106f86
--- /dev/null
+++ b/sycl/test-e2e/Basic/submit_barrier.cpp
@@ -0,0 +1,21 @@
+// UNSUPPORTED: hip_amd
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <stdlib.h>
+#include <sycl/sycl.hpp>
+
+int main() {
+
+  sycl::device dev{sycl::default_selector_v};
+  sycl::queue q{dev};
+
+  q.submit(
+      [&](sycl::handler &cgh) { cgh.single_task<class kernel1>([]() {}); });
+
+  sycl::event e = q.ext_oneapi_submit_barrier();
+  e.wait_and_throw();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/subsubdevice.cpp b/sycl/test-e2e/Basic/subsubdevice.cpp
new file mode 100644
index 0000000000000..9a794cb48fad0
--- /dev/null
+++ b/sycl/test-e2e/Basic/subsubdevice.cpp
@@ -0,0 +1,168 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------------ subdevice.cpp - SYCL subdevice basic test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+#include <utility>
+
+using namespace sycl;
+
+int main() {
+  try {
+    auto devices = device::get_devices();
+    for (const auto &dev : devices) {
+      assert(dev.get_info<info::device::partition_type_property>() ==
+             info::partition_property::no_partition);
+
+      size_t MaxSubDevices =
+          dev.get_info<info::device::partition_max_sub_devices>();
+
+      if (MaxSubDevices == 0)
+        continue;
+
+      try {
+        auto SubDevicesEq =
+            dev.create_sub_devices<info::partition_property::partition_equally>(
+                1);
+        assert(SubDevicesEq.size() == MaxSubDevices &&
+               "Requested 1 compute unit in each subdevice, expected maximum "
+               "number of subdevices in output");
+        std::cout << "Created " << SubDevicesEq.size()
+                  << " subdevices using equal partition scheme" << std::endl;
+
+        assert(
+            SubDevicesEq[0].get_info<info::device::partition_type_property>() ==
+            info::partition_property::partition_equally);
+
+        assert(sycl::get_native<sycl::backend::opencl>(
+                   SubDevicesEq[0].get_info<info::device::parent_device>()) ==
+               sycl::get_native<sycl::backend::opencl>(dev));
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        std::vector<size_t> Counts(MaxSubDevices, 1);
+        auto SubDevicesByCount = dev.create_sub_devices<
+            info::partition_property::partition_by_counts>(Counts);
+        assert(SubDevicesByCount.size() == MaxSubDevices &&
+               "Maximum number of subdevices was requested with 1 compute unit "
+               "on each");
+        std::cout << "Created " << SubDevicesByCount.size()
+                  << " subdevices using partition by counts scheme."
+                  << std::endl;
+        assert(SubDevicesByCount[0]
+                   .get_info<info::device::partition_type_property>() ==
+               info::partition_property::partition_by_counts);
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainNuma = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::numa);
+        std::cout
+            << "Created " << SubDevicesDomainNuma.size()
+            << " subdevices using partition by numa affinity domain scheme."
+            << std::endl;
+
+        auto SubSubDevicesDomainNuma =
+            SubDevicesDomainNuma[0]
+                .create_sub_devices<
+                    info::partition_property::partition_by_affinity_domain>(
+                    info::partition_affinity_domain::numa);
+
+        std::cout << "Created " << SubSubDevicesDomainNuma.size()
+                  << " sub-subdevices from subdevice 0 using partition by numa "
+                     "affinity domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL4 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L4_cache);
+        std::cout << "Created " << SubDevicesDomainL4.size()
+                  << " subdevices using partition by L4 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL3 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L3_cache);
+        std::cout << "Created " << SubDevicesDomainL3.size()
+                  << " subdevices using partition by L3 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL2 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L2_cache);
+        std::cout << "Created " << SubDevicesDomainL2.size()
+                  << " subdevices using partition by L2 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainL1 = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::L1_cache);
+        std::cout << "Created " << SubDevicesDomainL1.size()
+                  << " subdevices using partition by L1 cache domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+
+      try {
+        auto SubDevicesDomainNextPart = dev.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::next_partitionable);
+        std::cout << "Created " << SubDevicesDomainNextPart.size()
+                  << " subdevices using partition by next partitionable "
+                     "domain scheme."
+                  << std::endl;
+
+        auto SubSubDevicesDomainNextPart =
+            SubDevicesDomainNextPart[0]
+                .create_sub_devices<
+                    info::partition_property::partition_by_affinity_domain>(
+                    info::partition_affinity_domain::next_partitionable);
+        std::cout << "Created " << SubSubDevicesDomainNextPart.size()
+                  << " sub-subdevices from subdevice 0 using partition by next "
+                     "partitionable domain scheme."
+                  << std::endl;
+      } catch (feature_not_supported) {
+        // okay skip it
+      }
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return 1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/swizzle_op.cpp b/sycl/test-e2e/Basic/swizzle_op.cpp
new file mode 100644
index 0000000000000..a84db3af1ed08
--- /dev/null
+++ b/sycl/test-e2e/Basic/swizzle_op.cpp
@@ -0,0 +1,299 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==------------ swizzle_op.cpp - SYCL SwizzleOp basic test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#define SYCL_SIMPLE_SWIZZLES
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  {
+    float results[3] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(3));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_1>([=]() {
+          float2 ab = {4, 2};
+          float c = ab.x() * ab.y();
+          B[0] = ab.x();
+          B[1] = ab.y();
+          B[2] = c;
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 8);
+  }
+
+  {
+    float results[3] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(3));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_2>([=]() {
+          float2 ab = {4, 2};
+          float c = ab.x() * 2;
+          B[0] = ab.x();
+          B[1] = ab.y();
+          B[2] = c;
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 8);
+  }
+
+  {
+    float results[3] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(3));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_3>([=]() {
+          float2 ab = {4, 2};
+          float c = 4 * ab.y();
+          B[0] = ab.x();
+          B[1] = ab.y();
+          B[2] = c;
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 8);
+  }
+
+  {
+    float results[4] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(4));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_4>([=]() {
+          float2 ab = {4, 2};
+          float2 c = {0, 0};
+          c.x() = ab.x() * ab.y();
+          B[0] = ab.x();
+          B[1] = ab.y();
+          B[2] = c.x();
+          B[4] = c.y();
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 8);
+    assert(results[3] == 0);
+  }
+
+  {
+    float results[4] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(4));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_5>([=]() {
+          float2 ab = {4, 2};
+          float2 c = {0, 0};
+          c.x() = 4 * ab.y();
+          B[0] = ab.x();
+          B[1] = ab.y();
+          B[2] = c.x();
+          B[4] = c.y();
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 8);
+    assert(results[3] == 0);
+  }
+
+  {
+    float results[4] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(4));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_6>([=]() {
+          float2 ab = {4, 2};
+          float2 c = {0, 0};
+          c.x() = ab.x() * 2;
+          B[0] = ab.x();
+          B[1] = ab.y();
+          B[2] = c.x();
+          B[4] = c.y();
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 8);
+    assert(results[3] == 0);
+  }
+
+  {
+    float results[6] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(6));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_7>([=]() {
+          uchar4 abc = {4, 2, 1, 0};
+
+          uchar4 c_each;
+          c_each.x() = abc.x();
+          c_each.y() = abc.y();
+          c_each.z() = abc.z();
+
+          uchar4 c_full;
+          c_full = abc;
+
+          B[0] = c_each.x();
+          B[1] = c_each.y();
+          B[2] = c_each.z();
+          B[3] = c_full.x();
+          B[4] = c_full.y();
+          B[5] = c_full.z();
+        });
+      });
+    }
+    assert(results[0] == 4);
+    assert(results[1] == 2);
+    assert(results[2] == 1);
+    assert(results[3] == 4);
+    assert(results[4] == 2);
+    assert(results[5] == 1);
+  }
+
+  {
+    float results[4] = {0};
+    {
+      buffer<float, 1> b(results, range<1>(4));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_8>([=]() {
+          uchar4 cba;
+          unsigned char x = 1;
+          unsigned char y = 2;
+          unsigned char z = 3;
+          unsigned char w = 4;
+          cba.x() = x;
+          cba.y() = y;
+          cba.z() = z;
+          cba.w() = w;
+
+          uchar4 abc = {1, 2, 3, 4};
+          abc.x() = cba.s0();
+          abc.y() = cba.s1();
+          abc.z() = cba.s2();
+          abc.w() = cba.s3();
+          if ((cba.x() == abc.x())) {
+            abc.xy() = abc.xy() * 3;
+
+            B[0] = abc.x();
+            B[1] = abc.y();
+            B[2] = abc.z();
+            B[3] = abc.w();
+          }
+        });
+      });
+    }
+    assert(results[0] == 3);
+    assert(results[1] == 6);
+    assert(results[2] == 3);
+    assert(results[3] == 4);
+  }
+
+  {
+    unsigned int results[4] = {0};
+    {
+      buffer<unsigned int, 1> b(results, range<1>(4));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_9>([=]() {
+          uchar4 vec;
+          unsigned int add = 254;
+          unsigned char factor = 2;
+          vec.x() = 2;
+          vec.y() = 4;
+          vec.z() = 6;
+          vec.w() = 8;
+
+          B[0] = add + vec.x() / factor;
+          B[1] = add + vec.y() / factor;
+          B[2] = add + vec.z() / factor;
+          B[3] = add + vec.w() / factor;
+        });
+      });
+    }
+    assert(results[0] == 255);
+    assert(results[1] == 256);
+    assert(results[2] == 257);
+    assert(results[3] == 258);
+  }
+
+  {
+    int FF[8] = {1, 1, 1, 0, 1, 1, 1, 0};
+    {
+      buffer<int3, 1> b((int3 *)FF, range<1>(2));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::read_write>(cgh);
+        cgh.parallel_for<class test_10>(
+            range<1>{2}, [=](id<1> ID) { B[ID] = int3{ID[0]} / B[ID]; });
+      });
+    }
+    assert(FF[0] == 0);
+    assert(FF[1] == 0);
+    assert(FF[2] == 0);
+    assert(FF[4] == 1);
+    assert(FF[5] == 1);
+    assert(FF[6] == 1);
+  }
+  {
+    int3 result = {0, 0, 0};
+    {
+      buffer<int3, 1> b(&result, range<1>(1));
+      queue myQueue;
+      myQueue.submit([&](handler &cgh) {
+        auto B = b.get_access<access::mode::write>(cgh);
+        cgh.single_task<class test_11>([=]() {
+          int3 testVec1 = {2, 2, 2};
+          int3 testVec2 = {1, 1, 1};
+          B[0] = testVec1 / testVec2;
+        });
+      });
+    }
+    const int r1 = result.x();
+    const int r2 = result.y();
+    const int r3 = result.z();
+    assert(r1 == 2);
+    assert(r2 == 2);
+    assert(r3 == 2);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/sycl-namespace.cpp b/sycl/test-e2e/Basic/sycl-namespace.cpp
new file mode 100644
index 0000000000000..c06c9b7674156
--- /dev/null
+++ b/sycl/test-e2e/Basic/sycl-namespace.cpp
@@ -0,0 +1,19 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  ::sycl::queue q;
+  int r = 0;
+  {
+    sycl::buffer<int, 1> b(&r, 1);
+    q.submit([&](sycl::handler &h) {
+      auto a = b.get_access<sycl::access::mode::write>(h);
+      h.single_task<class T>([=]() { a[0] = 42; });
+    });
+  }
+  return r - 42;
+}
diff --git a/sycl/test-e2e/Basic/unused_pointer.cpp b/sycl/test-e2e/Basic/unused_pointer.cpp
new file mode 100644
index 0000000000000..50e4eae83aab6
--- /dev/null
+++ b/sycl/test-e2e/Basic/unused_pointer.cpp
@@ -0,0 +1,44 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- unused_pointer.cpp - test pointers in struct --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//==----------------------------------------------------------------------==//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace std;
+
+struct struct_with_pointer {
+  int data;
+  int *ptr1;             // Unused pointer
+  float *ptr2;           // Unused pointer
+  int *ptr_array1[2];    // Unused pointer array
+  int *ptr_array2[2][3]; // Unused pointer array
+};
+
+int main(int argc, char **argv) {
+  struct_with_pointer obj;
+  obj.data = 10;
+  int data = 0;
+  sycl::queue queue;
+  {
+    sycl::buffer<int, 1> buf(&data, 1);
+    queue.submit([&](sycl::handler &cgh) {
+      auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task<class test>([=]() { acc[0] = obj.data; });
+    });
+  }
+  if (data != 10) {
+    printf("FAILED\ndata = %d\n", data);
+    return 1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/use_pinned_host_memory.cpp b/sycl/test-e2e/Basic/use_pinned_host_memory.cpp
new file mode 100644
index 0000000000000..9efb9115b9c10
--- /dev/null
+++ b/sycl/test-e2e/Basic/use_pinned_host_memory.cpp
@@ -0,0 +1,46 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <string>
+
+int main() {
+  const sycl::range<1> N{1};
+  sycl::buffer<int, 1> Buf(
+      N, {sycl::ext::oneapi::property::buffer::use_pinned_host_memory()});
+  if (!Buf.has_property<
+          sycl::ext::oneapi::property::buffer::use_pinned_host_memory>()) {
+    std::cerr << "Buffer should have the use_pinned_host_memory property"
+              << std::endl;
+    return 1;
+  }
+
+  sycl::queue Q;
+  Q.submit([&](sycl::handler &CGH) {
+    auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+    CGH.single_task<class init_a>([=]() {});
+  });
+
+  try {
+    int Data = 0;
+    sycl::buffer<int, 1> Buf(
+        &Data, N,
+        {sycl::ext::oneapi::property::buffer::use_pinned_host_memory()});
+    // Expected that exception is thrown
+    return 1;
+  } catch (sycl::invalid_object_error &E) {
+    if (std::string(E.what()).find(
+            "The use_pinned_host_memory cannot be used with host pointer") ==
+        std::string::npos) {
+      return 1;
+    }
+
+    return 0;
+  }
+}
+
+// CHECK:---> piMemBufferCreate
+// CHECK-NEXT: {{.*}} : {{.*}}
+// CHECK-NEXT: {{.*}} : 17
diff --git a/sycl/test-e2e/Basic/vector_byte.cpp b/sycl/test-e2e/Basic/vector_byte.cpp
new file mode 100644
index 0000000000000..14a488eac7647
--- /dev/null
+++ b/sycl/test-e2e/Basic/vector_byte.cpp
@@ -0,0 +1,300 @@
+// RUN: %clangxx -fsycl -std=c++17 -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- vector_byte.cpp - SYCL vec<> for std::byte test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#define SYCL_SIMPLE_SWIZZLES
+#include <sycl/sycl.hpp>
+
+int main() {
+  std::byte bt{7};
+  // constructors
+  sycl::vec<std::byte, 1> vb1(bt);
+  sycl::vec<std::byte, 2> vb2{bt, bt};
+  sycl::vec<std::byte, 3> vb3{bt, bt, bt};
+  sycl::vec<std::byte, 4> vb4{bt, bt, bt, bt};
+  sycl::vec<std::byte, 8> vb8{bt, bt, bt, bt, bt, bt, bt, bt};
+  sycl::vec<std::byte, 16> vb16{bt, bt, bt, std::byte{2}, bt, bt, bt, bt,
+                                bt, bt, bt, bt,           bt, bt, bt, bt};
+
+  {
+    // operator[]
+    assert(vb16[3] == std::byte{2});
+    // explicit conversion
+    std::byte(vb1.x());
+    std::byte b = vb1;
+
+    // operator=
+    auto vb4op = vb4;
+    vb1 = std::byte{3};
+  }
+
+  // convert() and as()
+  {
+    sycl::vec<int, 2> vi2(1, 1);
+    auto cnv = vi2.convert<std::byte>();
+    auto cnv2 = vb1.convert<int>();
+
+    auto asint = vb2.template as<sycl::vec<int16_t, 1>>();
+    auto asbyte = vi2.template as<sycl::vec<std::byte, 8>>();
+  }
+
+  // load() and store()
+  std::vector<std::byte> std_vec(8, bt);
+  {
+    sycl::buffer<std::byte, 1> Buf(std_vec.data(), sycl::range<1>(8));
+
+    sycl::queue Queue;
+    Queue
+        .submit([&](sycl::handler &cgh) {
+          auto Acc = Buf.get_access<sycl::access::mode::read_write>(cgh);
+          cgh.single_task<class st>([=]() {
+            // load
+            sycl::multi_ptr<std::byte,
+                            sycl::access::address_space::global_space,
+                            sycl::access::decorated::yes>
+                mp(Acc);
+            sycl::vec<std::byte, 8> sycl_vec;
+            sycl_vec.load(0, mp);
+            sycl_vec[0] = std::byte{2};
+            Acc[1] = std::byte{10};
+
+            // store
+            sycl_vec.store(0, mp);
+          });
+        })
+        .wait();
+  }
+  assert(std_vec[0] == std::byte{2});
+  assert(std_vec[1] == std::byte{7});
+
+  // swizzle
+  {
+    auto swizzled_vec = vb8.lo();
+
+    auto sw = vb8.template swizzle<sycl::elem::s0, sycl::elem::s1>()
+                  .template as<sycl::vec<int16_t, 1>>();
+    auto swbyte = sw.template as<sycl::vec<std::byte, 2>>();
+    auto swbyte2 = swizzled_vec.template as<sycl::vec<int, 1>>();
+
+    // hi/lo, even/odd
+    sycl::vec<std::byte, 4> vbsw(std::byte{0}, std::byte{1}, std::byte{2},
+                                 std::byte{3});
+    sycl::vec<std::byte, 2> vbswhi = vbsw.hi();
+    assert(vbswhi[0] == std::byte{2});
+    vbswhi = vbsw.lo();
+    vbswhi = vbsw.odd();
+    vbswhi = vbsw.even();
+  }
+
+  // operatorOP for vec and for swizzle
+  {
+    sycl::vec<std::byte, 3> vop1{std::byte{4}, std::byte{9}, std::byte{25}};
+    sycl::vec<std::byte, 3> vop2{std::byte{2}, std::byte{3}, std::byte{5}};
+    sycl::vec<std::byte, 4> vop3{std::byte{5}, std::byte{6}, std::byte{2},
+                                 std::byte{3}};
+
+    // binary op for 2 vec
+    auto vop = vop1 + vop2;
+    assert(vop[0] == std::byte{6});
+    vop = vop1 - vop2;
+    vop = vop1 * vop2;
+    vop = vop1 / vop2;
+    assert(vop[0] == std::byte{2});
+    vop = vop1 % vop2;
+
+    // binary op for 2 swizzle
+    auto swlo = vop3.lo();
+    auto swhi = vop3.hi();
+    auto swplus = swlo + swhi;
+    sycl::vec<std::byte, 2> vec_test = swplus;
+    assert(vec_test.x() == std::byte{7} && vec_test.y() == std::byte{9});
+    auto swominus = swlo - swhi;
+    auto swmul = swlo * swhi;
+    vec_test = swmul;
+    assert(vec_test.x() == std::byte{10} && vec_test.y() == std::byte{18});
+    auto swdiv = swlo / swhi;
+
+    // binary op for 1 vec
+    vop = vop1 + std::byte{3};
+    vop = vop1 - std::byte{3};
+    assert(vop[1] == std::byte{6});
+    vop = vop1 * std::byte{3};
+    vop = vop1 / std::byte{3};
+    vop = vop1 % std::byte{3};
+    assert(vop[0] == std::byte{1});
+
+    vop = std::byte{3} + vop1;
+    assert(vop[0] == std::byte{7});
+    vop = std::byte{3} - vop1;
+    vop = std::byte{3} * vop1;
+    assert(vop[2] == std::byte{75});
+    vop = std::byte{3} / vop1;
+
+    // binary op for 1 swizzle
+    auto swplus1 = swlo + std::byte{3};
+    auto swminus1 = swlo - std::byte{3};
+    vec_test = swminus1;
+    assert(vec_test.x() == std::byte{2} && vec_test.y() == std::byte{3});
+    auto swmul1 = swlo * std::byte{3};
+    auto swdiv1 = swlo / std::byte{3};
+    vec_test = swdiv1;
+    assert(vec_test.x() == std::byte{1} && vec_test.y() == std::byte{2});
+
+    auto swplus2 = std::byte{3} + swlo;
+    vec_test = swplus2;
+    assert(vec_test.x() == std::byte{8} && vec_test.y() == std::byte{9});
+    auto swminus2 = std::byte{3} - swlo;
+    auto swmul2 = std::byte{3} * swlo;
+    vec_test = swmul2;
+    assert(vec_test.x() == std::byte{15} && vec_test.y() == std::byte{18});
+    auto swdiv2 = std::byte{3} / swlo;
+
+    // operatorOP= for 2 vec
+    sycl::vec<std::byte, 3> vbuf{std::byte{4}, std::byte{5}, std::byte{6}};
+    vop = vbuf += vop1;
+    assert(vop[0] == std::byte{8});
+    vop = vbuf -= vop1;
+    vop = vbuf *= vop1;
+    vop = vbuf /= vop1;
+    vop = vbuf %= vop1;
+
+    // operatorOP= for 2 swizzle
+    swlo += swhi;
+    swlo -= swhi;
+    vec_test = swlo;
+    assert(vec_test.x() == std::byte{5} && vec_test.y() == std::byte{6});
+    swlo *= swhi;
+    swlo /= swhi;
+    swlo %= swhi;
+
+    // operatorOP= for 1 vec
+    vop = vop1 += std::byte{3};
+    assert(vop[0] == std::byte{7});
+    vop = vop1 -= std::byte{3};
+    vop = vop1 *= std::byte{3};
+    vop = vop1 /= std::byte{3};
+    vop = vop1 %= std::byte{3};
+
+    // operatorOP= for 1 swizzle
+
+    swlo += std::byte{3};
+    swlo -= std::byte{1};
+    vec_test = swlo;
+    assert(vec_test.x() == std::byte{3} && vec_test.y() == std::byte{2});
+    swlo *= std::byte{3};
+    swlo /= std::byte{3};
+    swlo %= std::byte{3};
+
+    // unary operator++ and -- for vec
+    vop1 = sycl::vec<std::byte, 3>(std::byte{4}, std::byte{9}, std::byte{25});
+    vop1++;
+    vop1--;
+    vop = ++vop1;
+    assert(vop[2] == std::byte{26});
+    --vop1;
+
+    // unary operator++ and -- for swizzle
+    swlo++;
+    swlo--;
+    vec_test = swlo;
+    assert(vec_test.x() == std::byte{0} && vec_test.y() == std::byte{2});
+
+    // logical binary op for 2 vec
+    vop = vop1 & vop2;
+    vop = vop1 | vop2;
+    vop = vop1 ^ vop2;
+
+    // logical binary op for 2 swizzle
+    auto swand = swlo & swhi;
+    auto swor = swlo | swhi;
+    auto swxor = swlo ^ swhi;
+
+    // logical binary op for 1 vec
+    vop = vop1 & std::byte{3};
+    vop = vop1 | std::byte{3};
+    vop = vop1 ^ std::byte{3};
+    vop = std::byte{3} & vop1;
+    vop = std::byte{3} | vop1;
+    vop = std::byte{3} ^ vop1;
+
+    // logical binary op for 1 swizzle
+    auto swand2 = swlo & std::byte{3};
+    auto swor2 = swlo | std::byte{3};
+    auto swxor2 = swlo ^ std::byte{3};
+
+    auto swand3 = std::byte{3} & swlo;
+    auto swor3 = std::byte{3} | swlo;
+    auto swxor3 = std::byte{3} ^ swlo;
+
+    // bit binary op for 2 vec
+    vop = vop1 && vop2;
+    vop = vop1 || vop2;
+    vop = vop1 >> vop2;
+    vop = vop1 << vop2;
+
+    vop = vop1 >> std::byte{3};
+    vop = vop1 << std::byte{3};
+    vop = std::byte{3} >> vop1;
+    vop = std::byte{3} << vop1;
+
+    // bit binary op for 2 swizzle
+    swlo >> swhi;
+    swlo << swhi;
+    swlo >> std::byte{3};
+    swlo << std::byte{3};
+    auto right = std::byte{3} >> swhi;
+    auto left = std::byte{3} << swhi;
+
+    // condition op for 2 vec
+    auto vres = vop1 == vop2;
+    vres = vop1 != vop2;
+    vres = vop1 > vop2;
+    vres = vop1 < vop2;
+    vres = vop1 >= vop2;
+    vres = vop1 <= vop2;
+
+    vres = vop1 == std::byte{3};
+    vres = vop1 != std::byte{3};
+    vres = vop1 > std::byte{3};
+    vres = vop1 < std::byte{3};
+    vres = vop1 >= std::byte{3};
+    vres = vop1 <= std::byte{3};
+
+    vres = std::byte{3} == vop1;
+    vres = std::byte{3} != vop1;
+    vres = std::byte{3} > vop1;
+    vres = std::byte{3} < vop1;
+    vres = std::byte{3} >= vop1;
+    vres = std::byte{3} <= vop1;
+
+    // condition op for 2 swizzle
+    auto swres = swhi == swlo;
+    auto swres1 = swhi != swlo;
+    auto swres2 = swhi > swlo;
+    auto swres3 = swhi < swlo;
+    auto swres4 = swhi >= swlo;
+    auto swres5 = swhi <= swlo;
+    auto swres6 = swhi == std::byte{3};
+    auto swres7 = swhi != std::byte{3};
+    auto swres8 = swhi > std::byte{3};
+    auto swres9 = swhi < std::byte{3};
+    auto swres10 = swhi >= std::byte{3};
+    auto swres11 = swhi <= std::byte{3};
+
+    sycl::vec<std::byte, 3> voptest{std::byte{4}, std::byte{9}, std::byte{25}};
+    auto bitv1 = ~vop3;
+    auto bitv2 = !vop3;
+    auto bitw = ~swhi;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/vector_operators.cpp b/sycl/test-e2e/Basic/vector_operators.cpp
new file mode 100644
index 0000000000000..b64f9adf93d41
--- /dev/null
+++ b/sycl/test-e2e/Basic/vector_operators.cpp
@@ -0,0 +1,274 @@
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- vector_operators.cpp - SYCL vec<> operators test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#define SYCL_SIMPLE_SWIZZLES
+#include <sycl/sycl.hpp>
+namespace s = sycl;
+
+template <typename ResultVecT>
+void check_result_length_4(ResultVecT &res, ResultVecT &expected_res) {
+  assert(res.get_count() == 4 && expected_res.get_count() == 4);
+
+  assert(static_cast<bool>(res.template swizzle<s::elem::s0>() ==
+                           expected_res.template swizzle<s::elem::s0>()));
+  assert(static_cast<bool>(res.template swizzle<s::elem::s1>() ==
+                           expected_res.template swizzle<s::elem::s1>()));
+  assert(static_cast<bool>(res.template swizzle<s::elem::s2>() ==
+                           expected_res.template swizzle<s::elem::s2>()));
+  assert(static_cast<bool>(res.template swizzle<s::elem::s3>() ==
+                           expected_res.template swizzle<s::elem::s3>()));
+}
+
+template <typename T, int N> void check_vector_size() {
+  using vec_type = s::vec<T, N>;
+  vec_type Vec;
+  constexpr auto length = (N == 3 ? 4 : N);
+  assert(Vec.size() == N);
+  assert(Vec.byte_size() == sizeof(T) * length);
+}
+
+int main() {
+  s::queue Queue;
+
+  /* Separate checks for NumElements=1 edge case */
+
+  {
+    using vec_type = s::vec<char, 1>;
+    vec_type res;
+    {
+      s::buffer<vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isequal_vec_op_1_elem>([=]() {
+          vec_type vec1(2);
+          vec_type vec2(2);
+          Acc[0] = vec1 == vec2;
+        });
+      });
+    }
+    // 1-element vector operators follow vector 0/-1 logic
+    vec_type expected_res(-1);
+    assert(static_cast<bool>(res.template swizzle<sycl::elem::s0>() ==
+                             expected_res.template swizzle<sycl::elem::s0>()));
+  }
+
+  {
+    using vec_type = s::vec<char, 1>;
+    vec_type res;
+    {
+      s::buffer<vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isequal_vec_op_1_elem_scalar>([=]() {
+          vec_type vec(2);
+          char rhs_scalar = 2;
+          Acc[0] = vec == rhs_scalar;
+        });
+      });
+    }
+    // 1-element vector operators follow vector 0/-1 logic
+    vec_type expected_res(-1);
+    assert(static_cast<bool>(res.template swizzle<sycl::elem::s0>() ==
+                             expected_res.template swizzle<sycl::elem::s0>()));
+  }
+
+  /* Test different operators, different types
+   *  for length 4 */
+
+  // SYCL vec<>, SYCL vec<>
+
+  // Operator ==, unsigned int
+  {
+    using res_vec_type = s::int4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isequal_vec_op>([=]() {
+          s::uint4 vec1(42, 42, 42, 0);
+          s::uint4 vec2(0, 42, 42, 0);
+          Acc[0] = vec1 == vec2;
+        });
+      });
+    }
+    res_vec_type expected(0, -1, -1, -1);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // Operator <, double
+  if (Queue.get_device().has(sycl::aspect::fp64)) {
+    using res_vec_type = s::long4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isless_vec_op>([=]() {
+          s::double4 vec1(0.5, 10.1, 10.2, 10.3);
+          s::double4 vec2(10.5, 0.1, 0.2, 0.3);
+          Acc[0] = vec1 < vec2;
+        });
+      });
+    }
+    res_vec_type expected(-1, 0, 0, 0);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // Operator >, char
+  {
+    using res_vec_type = s::char4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isgreater_vec_op>([=]() {
+          s::char4 vec1(0, 0, 42, 42);
+          s::char4 vec2(42, 0, 0, -42);
+          Acc[0] = vec1 > vec2;
+        });
+      });
+    }
+    res_vec_type expected(0, 0, -1, -1);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // Operator <=, half
+  if (Queue.get_device().has(sycl::aspect::fp16)) {
+    using res_vec_type = s::short4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnotgreater_vec_op>([=]() {
+          s::half4 vec1(0, 0, 42, 42);
+          s::half4 vec2(42, 0, 0, -42);
+          Acc[0] = vec1 <= vec2;
+        });
+      });
+    }
+    res_vec_type expected(-1, -1, 0, 0);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // SYCL vec<>, OpenCL built-in
+
+  // Operator >=, unsigned long
+  {
+    using res_vec_type = s::long4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnotless_vec_op>([=]() {
+          s::ulong4 vec1(0, 0, 42, 42);
+          s::ulong4 vec2{42, 0, 0, 0};
+          Acc[0] = vec1 >= vec2;
+        });
+      });
+    }
+    res_vec_type expected(0, -1, -1, -1);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // Operator !=, unsigned short
+  {
+    using res_vec_type = s::short4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnotequal_vec_op>([=]() {
+          s::ushort4 vec1(0, 0, 42, 42);
+          s::ushort4 vec2{42, 0, 0, 42};
+          Acc[0] = vec1 != vec2;
+        });
+      });
+    }
+    res_vec_type expected(-1, 0, -1, 0);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // Operator &&, int
+  {
+    using res_vec_type = s::int4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class logical_and_vec_op>([=]() {
+          s::int4 vec1(0, 0, 42, 42);
+          s::int4 vec2{42, 0, 0, 42};
+          Acc[0] = vec1 && vec2;
+        });
+      });
+    }
+    res_vec_type expected(0, 0, 0, -1);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // Operator ||, int
+  {
+    using res_vec_type = s::int4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class logical_or_vec_op>([=]() {
+          s::int4 vec1(0, 0, 42, 42);
+          s::int4 vec2{42, 0, 0, 42};
+          Acc[0] = vec1 || vec2;
+        });
+      });
+    }
+    res_vec_type expected(-1, 0, -1, -1);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // as() function.
+  // reinterprets each element as a different datatype.
+  {
+    using res_vec_type = s::int4;
+    res_vec_type res;
+    {
+      s::buffer<res_vec_type, 1> Buf(&res, s::range<1>(1));
+      Queue.submit([&](s::handler &cgh) {
+        auto Acc = Buf.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class as_op>([=]() {
+          s::float4 vec1(4.5f, 0, 3.5f, -10.0f);
+          Acc[0] = vec1.template as<res_vec_type>();
+        });
+      });
+    }
+    res_vec_type expected(1083179008 /*0x40900000*/, 0,
+                          1080033280 /*0x40600000*/,
+                          -1054867456 /*0xc1200000*/);
+    check_result_length_4<res_vec_type>(res, expected);
+  }
+
+  // size() and byte_size() functions
+  {
+    check_vector_size<char, 1>();
+    check_vector_size<int, 2>();
+    check_vector_size<float, 3>();
+    check_vector_size<double, 4>();
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Basic/work_group_size_prop.cpp b/sycl/test-e2e/Basic/work_group_size_prop.cpp
new file mode 100644
index 0000000000000..6f3790856b52a
--- /dev/null
+++ b/sycl/test-e2e/Basic/work_group_size_prop.cpp
@@ -0,0 +1,268 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Failing negative test with HIP. Temporarily disabled for CUDA.
+// XFAIL: hip, cuda
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+enum class Variant { Function, Functor, FunctorAndProperty };
+
+template <Variant KernelVariant, bool IsShortcut, size_t... Is>
+class ReqdWGSizePositiveA;
+template <Variant KernelVariant, bool IsShortcut, size_t... Is>
+class ReqdWGSizeNoLocalPositive;
+template <Variant KernelVariant, bool IsShortcut, size_t... Is>
+class ReqdWGSizeNegativeA;
+
+template <size_t Dims> range<Dims> repeatRange(size_t Val);
+template <> range<1> repeatRange<1>(size_t Val) { return range<1>{Val}; }
+template <> range<2> repeatRange<2>(size_t Val) { return range<2>{Val, Val}; }
+template <> range<3> repeatRange<3>(size_t Val) {
+  return range<3>{Val, Val, Val};
+}
+
+std::string rangeToString(range<1> Range) {
+  return "{1, 1, " + std::to_string(Range[0]) + "}";
+}
+std::string rangeToString(range<2> Range) {
+  return "{1, " + std::to_string(Range[0]) + ", " + std::to_string(Range[1]) +
+         "}";
+}
+std::string rangeToString(range<3> Range) {
+  return "{" + std::to_string(Range[0]) + ", " + std::to_string(Range[1]) +
+         ", " + std::to_string(Range[2]) + "}";
+}
+
+template <size_t... Is> struct KernelFunctorWithWGSizeProp {
+  void operator()(nd_item<sizeof...(Is)>) const {}
+  void operator()(item<sizeof...(Is)>) const {}
+
+  auto get(sycl::ext::oneapi::experimental::properties_tag) {
+    return sycl::ext::oneapi::experimental::properties{
+        sycl::ext::oneapi::experimental::work_group_size<Is...>};
+  }
+};
+
+template <Variant KernelVariant, size_t... Is, typename PropertiesT,
+          typename KernelType>
+int test(queue &Q, PropertiesT Props, KernelType KernelFunc) {
+  constexpr size_t Dims = sizeof...(Is);
+
+  bool IsOpenCL = (Q.get_backend() == backend::opencl);
+
+  // Positive test case: Specify local size that matches required size.
+  try {
+    Q.submit([&](handler &CGH) {
+      CGH.parallel_for<ReqdWGSizePositiveA<KernelVariant, false, Is...>>(
+          nd_range<Dims>(repeatRange<Dims>(8), range<Dims>(Is...)), Props,
+          KernelFunc);
+    });
+    Q.wait_and_throw();
+  } catch (nd_range_error &E) {
+    std::cerr << "Test case ReqdWGSizePositiveA failed: unexpected "
+                 "nd_range_error exception: "
+              << E.what() << std::endl;
+    return 1;
+  } catch (runtime_error &E) {
+    std::cerr << "Test case ReqdWGSizePositiveA failed: unexpected "
+                 "runtime_error exception: "
+              << E.what() << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << "Test case ReqdWGSizePositiveA failed: something unexpected "
+                 "has been caught"
+              << std::endl;
+    return 1;
+  }
+
+  // Same as above but using the queue shortcuts.
+  try {
+    Q.parallel_for<ReqdWGSizePositiveA<KernelVariant, true, Is...>>(
+        nd_range<Dims>(repeatRange<Dims>(8), range<Dims>(Is...)), Props,
+        KernelFunc);
+    Q.wait_and_throw();
+  } catch (nd_range_error &E) {
+    std::cerr << "Test case ReqdWGSizePositiveA shortcut failed: unexpected "
+                 "nd_range_error exception: "
+              << E.what() << std::endl;
+    return 1;
+  } catch (runtime_error &E) {
+    std::cerr << "Test case ReqdWGSizePositiveA shortcut failed: unexpected "
+                 "runtime_error exception: "
+              << E.what() << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << "Test case ReqdWGSizePositiveA shortcut failed: something "
+                 "unexpected has been caught"
+              << std::endl;
+    return 1;
+  }
+
+  // Kernel that has a required WG size, but no local size is specified.
+  //
+  // TODO: This fails on OpenCL and should be investigated.
+  if (!IsOpenCL) {
+    try {
+      Q.submit([&](handler &CGH) {
+        CGH.parallel_for<
+            ReqdWGSizeNoLocalPositive<KernelVariant, false, Is...>>(
+            repeatRange<Dims>(16), Props, KernelFunc);
+      });
+      Q.wait_and_throw();
+    } catch (nd_range_error &E) {
+      std::cerr << "Test case ReqdWGSizeNoLocalPositive failed: unexpected "
+                   "nd_range_error exception: "
+                << E.what() << std::endl;
+      return 1;
+    } catch (runtime_error &E) {
+      std::cerr
+          << "Test case ReqdWGSizeNoLocalPositive: unexpected runtime_error "
+             "exception: "
+          << E.what() << std::endl;
+      return 1;
+    } catch (...) {
+      std::cerr << "Test case ReqdWGSizeNoLocalPositive failed: something "
+                   "unexpected has been caught"
+                << std::endl;
+      return 1;
+    }
+
+    try {
+      Q.parallel_for<ReqdWGSizeNoLocalPositive<KernelVariant, true, Is...>>(
+          repeatRange<Dims>(16), Props, KernelFunc);
+      Q.wait_and_throw();
+    } catch (nd_range_error &E) {
+      std::cerr
+          << "Test case ReqdWGSizeNoLocalPositive shortcut failed: unexpected "
+             "nd_range_error exception: "
+          << E.what() << std::endl;
+      return 1;
+    } catch (runtime_error &E) {
+      std::cerr << "Test case ReqdWGSizeNoLocalPositive shortcut: unexpected "
+                   "runtime_error "
+                   "exception: "
+                << E.what() << std::endl;
+      return 1;
+    } catch (...) {
+      std::cerr
+          << "Test case ReqdWGSizeNoLocalPositive shortcut failed: something "
+             "unexpected has been caught"
+          << std::endl;
+      return 1;
+    }
+  }
+
+  // Negative test case: Specify local size that does not match required size.
+  try {
+    Q.submit([&](handler &CGH) {
+      CGH.parallel_for<ReqdWGSizeNegativeA<KernelVariant, false, Is...>>(
+          nd_range<Dims>(repeatRange<Dims>(16), repeatRange<Dims>(8)), Props,
+          KernelFunc);
+    });
+    Q.wait_and_throw();
+    std::cerr << "Test case ReqdWGSizeNegativeA failed: no exception has been "
+                 "thrown\n";
+    return 1; // We shouldn't be here, exception is expected
+  } catch (nd_range_error &E) {
+    if (std::string(E.what()).find(
+            "The specified local size " + rangeToString(repeatRange<Dims>(8)) +
+            " doesn't match the required " +
+            "work-group size specified in the program source " +
+            rangeToString(range<Dims>(Is...))) == std::string::npos) {
+      std::cerr
+          << "Test case ReqdWGSizeNegativeA failed: unexpected nd_range_error "
+             "exception: "
+          << E.what() << std::endl;
+      return 1;
+    }
+  } catch (runtime_error &E) {
+    std::cerr << "Test case ReqdWGSizeNegativeA failed: unexpected "
+                 "nd_range_error exception: "
+              << E.what() << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << "Test case ReqdWGSizeNegativeA failed: something unexpected "
+                 "has been caught"
+              << std::endl;
+    return 1;
+  }
+
+  // Same as above but using the queue shortcuts.
+  try {
+    Q.parallel_for<ReqdWGSizeNegativeA<KernelVariant, true, Is...>>(
+        nd_range<Dims>(repeatRange<Dims>(16), repeatRange<Dims>(8)), Props,
+        KernelFunc);
+    Q.wait_and_throw();
+    std::cerr << "Test case ReqdWGSizeNegativeA shortcut failed: no exception "
+                 "has been "
+                 "thrown\n";
+    return 1; // We shouldn't be here, exception is expected
+  } catch (nd_range_error &E) {
+    if (std::string(E.what()).find(
+            "The specified local size " + rangeToString(repeatRange<Dims>(8)) +
+            " doesn't match the required " +
+            "work-group size specified in the program source " +
+            rangeToString(range<Dims>(Is...))) == std::string::npos) {
+      std::cerr << "Test case ReqdWGSizeNegativeA shortcut failed: unexpected "
+                   "nd_range_error "
+                   "exception: "
+                << E.what() << std::endl;
+      return 1;
+    }
+  } catch (runtime_error &E) {
+    std::cerr << "Test case ReqdWGSizeNegativeA shortcut failed: unexpected "
+                 "nd_range_error exception: "
+              << E.what() << std::endl;
+    return 1;
+  } catch (...) {
+    std::cerr << "Test case ReqdWGSizeNegativeA shortcut failed: something "
+                 "unexpected has been caught"
+              << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
+
+template <size_t... Is> int test(queue &Q) {
+  auto Props = ext::oneapi::experimental::properties{
+      ext::oneapi::experimental::work_group_size<Is...>};
+  auto KernelFunction = [](auto) {};
+
+  auto EmptyProps = ext::oneapi::experimental::properties{};
+  KernelFunctorWithWGSizeProp<Is...> KernelFunctor;
+
+  int Res = 0;
+  Res += test<Variant::Function, Is...>(Q, Props, KernelFunction);
+  Res += test<Variant::Functor, Is...>(Q, EmptyProps, KernelFunctor);
+  Res += test<Variant::FunctorAndProperty, Is...>(Q, Props, KernelFunctor);
+  return Res;
+}
+
+int main() {
+  auto AsyncHandler = [](exception_list ES) {
+    for (auto &E : ES) {
+      std::rethrow_exception(E);
+    }
+  };
+
+  queue Q(AsyncHandler);
+
+  int Res = 0;
+  Res += test<4>(Q);
+  Res += test<4, 4>(Q);
+  Res += test<8, 4>(Q);
+  Res += test<4, 8>(Q);
+  Res += test<4, 4, 4>(Q);
+  Res += test<4, 4, 8>(Q);
+  Res += test<8, 4, 4>(Q);
+  Res += test<4, 8, 4>(Q);
+  return Res;
+}
diff --git a/sycl/test-e2e/Basic/wrapped_usm_pointers.cpp b/sycl/test-e2e/Basic/wrapped_usm_pointers.cpp
new file mode 100644
index 0000000000000..8073c7b6ecbec
--- /dev/null
+++ b/sycl/test-e2e/Basic/wrapped_usm_pointers.cpp
@@ -0,0 +1,119 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- wrapped_usm_pointer.cpp - test pointers in struct ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//==----------------------------------------------------------------------==//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+struct Simple {
+  int *Data;
+  int Addition;
+};
+
+struct WrapperOfSimple {
+  int Addition;
+  Simple Obj;
+};
+
+struct NonTrivial {
+  int Addition;
+  int *Data;
+
+  NonTrivial(int *D, int A) : Data(D), Addition(A) {}
+};
+
+struct NonTrivialDerived : NonTrivial {
+  int AA = 0;
+  NonTrivialDerived(int *D, int A) : NonTrivial(D, A) {}
+};
+
+using namespace sycl;
+
+int main() {
+  constexpr int NumOfElements = 7;
+
+  queue Q;
+
+  NonTrivial NonTrivialObj(sycl::malloc_shared<int>(NumOfElements, Q), 38);
+  NonTrivialDerived NonTrivialDerivedObj(
+      sycl::malloc_shared<int>(NumOfElements, Q), 39);
+  Simple SimpleObj = {sycl::malloc_shared<int>(NumOfElements, Q), 42};
+  WrapperOfSimple WrapperOfSimpleObj = {
+      300, {sycl::malloc_shared<int>(NumOfElements, Q), 100500}};
+
+  // Test simple struct containing pointer.
+  Q.parallel_for(NumOfElements, [=](id<1> Idx) {
+    SimpleObj.Data[Idx] = Idx + SimpleObj.Addition;
+  });
+
+  // Test simple non-trivial struct containing pointer.
+  Q.parallel_for(NumOfElements, [=](id<1> Idx) {
+    NonTrivialObj.Data[Idx] = Idx + NonTrivialObj.Addition;
+  });
+
+  // Test simple non-trivial derived struct containing pointer.
+  Q.parallel_for(NumOfElements, [=](id<1> Idx) {
+    NonTrivialDerivedObj.Data[Idx] = Idx + NonTrivialDerivedObj.Addition;
+  });
+
+  // Test nested struct containing pointer.
+  Q.parallel_for(NumOfElements, [=](id<1> Idx) {
+    WrapperOfSimpleObj.Obj.Data[Idx] = Idx + WrapperOfSimpleObj.Obj.Addition;
+  });
+
+  // Test array of structs containing pointers.
+  Simple SimpleArr[NumOfElements];
+  for (int i = 0; i < NumOfElements; ++i) {
+    SimpleArr[i].Data = sycl::malloc_shared<int>(NumOfElements, Q);
+    SimpleArr[i].Addition = 38 + i;
+  }
+
+  Q.parallel_for(range<2>(NumOfElements, NumOfElements), [=](item<2> Idx) {
+    SimpleArr[Idx.get_id(0)].Data[Idx.get_id(1)] =
+        Idx.get_id(1) + SimpleArr[Idx.get_id(0)].Addition;
+  });
+
+  Q.wait();
+
+  auto Checker = [](auto Obj) {
+    for (int i = 0; i < NumOfElements; ++i) {
+      if (Obj.Data[i] != (i + Obj.Addition)) {
+        std::cout << "line: " << __LINE__ << " result[" << i << "] is "
+                  << Obj.Data[i] << " expected " << i + Obj.Addition
+                  << std::endl;
+        return true; // true if fail
+      }
+    }
+
+    return false;
+  };
+
+  bool Fail = false;
+  Fail = Checker(SimpleObj);
+  Fail = Checker(NonTrivialObj);
+  Fail = Checker(NonTrivialDerivedObj);
+  Fail = Checker(WrapperOfSimpleObj.Obj);
+
+  for (int i = 0; i < NumOfElements; ++i)
+    Fail = Checker(SimpleArr[i]);
+
+  // Free allocated memory.
+  sycl::free(NonTrivialObj.Data, Q);
+  sycl::free(NonTrivialDerivedObj.Data, Q);
+  sycl::free(SimpleObj.Data, Q);
+  sycl::free(WrapperOfSimpleObj.Obj.Data, Q);
+
+  for (int i = 0; i < NumOfElements; ++i)
+    sycl::free(SimpleArr[i].Data, Q);
+
+  return Fail;
+}
diff --git a/sycl/test-e2e/Basic/zero_size_range.cpp b/sycl/test-e2e/Basic/zero_size_range.cpp
new file mode 100644
index 0000000000000..dc4dfde7cab4f
--- /dev/null
+++ b/sycl/test-e2e/Basic/zero_size_range.cpp
@@ -0,0 +1,19 @@
+// REQUIRES: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//==--------------- range_zero_size.cpp - SYCL range test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  queue q;
+  q.submit(
+      [&](handler &cgh) { cgh.parallel_for(range<1>(0), [=](id<1> i) {}); });
+}
diff --git a/sycl/test-e2e/CMakeLists.txt b/sycl/test-e2e/CMakeLists.txt
index 4d3f855bdb339..e9c78f021ff2b 100644
--- a/sycl/test-e2e/CMakeLists.txt
+++ b/sycl/test-e2e/CMakeLists.txt
@@ -67,6 +67,5 @@ if(SYCL_TEST_E2E_TARGETS)
   endforeach()
 endif(SYCL_TEST_E2E_TARGETS)
 
-# TODO: Re-enable when moving the entire intel/llvm-test-suite back in-tree.
-# add_subdirectory(External)
-# add_subdirectory(ExtraTests)
+add_subdirectory(External)
+add_subdirectory(ExtraTests)
diff --git a/sycl/test-e2e/Complex/sycl_complex_helper.hpp b/sycl/test-e2e/Complex/sycl_complex_helper.hpp
new file mode 100644
index 0000000000000..de4cc1813abf4
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_helper.hpp
@@ -0,0 +1,225 @@
+#include <cmath>
+#include <iomanip>
+
+#define SYCL_EXT_ONEAPI_COMPLEX
+#include <sycl/ext/oneapi/experimental/sycl_complex.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl::ext::oneapi;
+
+#define SYCL_CPLX_TOL_ULP 5
+
+#define PI 3.14159265358979323846
+
+constexpr double INFINITYd(std::numeric_limits<double>::infinity());
+constexpr double NANd(std::numeric_limits<double>::quiet_NaN());
+
+template <typename T = double> struct cmplx {
+  cmplx(T real, T imag) : re(real), im(imag) {}
+
+  template <typename X> cmplx(cmplx<X> c) {
+    re = c.re;
+    im = c.im;
+  }
+
+  T re;
+  T im;
+};
+
+// Helpers for displaying results
+
+template <typename T> const char *get_typename() { return "Unknown type"; }
+template <> const char *get_typename<double>() { return "double"; }
+template <> const char *get_typename<float>() { return "float"; }
+template <> const char *get_typename<sycl::half>() { return "sycl::half"; }
+
+// Helper to test each complex specilization
+// Overload for cplx_test_cases
+template <template <typename> typename action, typename... argsT>
+bool test_valid_types(sycl::queue &Q, argsT... args) {
+  bool test_passes = true;
+
+  if (Q.get_device().has(sycl::aspect::fp64)) {
+    action<double> test;
+    test_passes &= test(Q, args...);
+  }
+
+  {
+    action<float> test;
+    test_passes &= test(Q, args...);
+  }
+
+  if (Q.get_device().has(sycl::aspect::fp16)) {
+    action<sycl::half> test;
+    test_passes &= test(Q, args...);
+  }
+
+  return test_passes;
+}
+
+// Overload for deci_test_cases
+template <template <typename, typename> typename action, typename... argsT>
+bool test_valid_types(sycl::queue &Q, argsT... args) {
+  bool test_passes = true;
+
+  if (Q.get_device().has(sycl::aspect::fp64)) {
+    test_passes &= action<double, bool>{}(Q, args...);
+    test_passes &= action<double, char>{}(Q, args...);
+    test_passes &= action<double, int>{}(Q, args...);
+    test_passes &= action<double, double>{}(Q, args...);
+  }
+
+  { test_passes &= action<float, float>{}(Q, args...); }
+
+  if (Q.get_device().has(sycl::aspect::fp16)) {
+    test_passes &= action<sycl::half, sycl::half>{}(Q, args...);
+  }
+
+  return test_passes;
+}
+
+// Overload for host only tests
+template <template <typename> typename action, typename... argsT>
+bool test_valid_types(argsT... args) {
+  bool test_passes = true;
+
+  {
+    action<double> test;
+    test_passes &= test(args...);
+  }
+
+  {
+    action<float> test;
+    test_passes &= test(args...);
+  }
+
+  {
+    action<sycl::half> test;
+    test_passes &= test(args...);
+  }
+
+  return test_passes;
+}
+
+// Helpers for comparison
+
+template <typename T> bool almost_equal_scalar(T x, T y, int ulp) {
+  if (std::isnan(x) && std::isnan(y))
+    return true;
+
+  if (std::isinf(x) && std::isinf(y))
+    return true;
+
+  return std::abs(x - y) <=
+             std::numeric_limits<T>::epsilon() * std::abs(x + y) * ulp ||
+         std::abs(x - y) < std::numeric_limits<T>::min();
+}
+
+template <typename T> T complex_magnitude(std::complex<T> a) {
+  return std::sqrt(a.real() * a.real() + a.imag() * a.imag());
+}
+
+template <typename T> T complex_magnitude(experimental::complex<T> a) {
+  return std::sqrt(a.real() * a.real() + a.imag() * a.imag());
+}
+
+template <typename T, typename U> inline bool is_nan_or_inf(T x, U y) {
+  return (std::isnan(x.real()) && std::isnan(y.real())) ||
+         (std::isnan(x.imag()) && std::isnan(y.imag())) ||
+         (std::isinf(x.real()) && std::isinf(y.real())) ||
+         (std::isinf(x.imag()) && std::isinf(y.imag()));
+}
+
+template <typename T>
+bool almost_equal_cplx(experimental::complex<T> x, experimental::complex<T> y,
+                       int ulp) {
+  auto diff = complex_magnitude(x - y);
+  return diff <= std::numeric_limits<T>::epsilon() * std::abs(x + y) * ulp ||
+         diff < std::numeric_limits<T>::min() || is_nan_or_inf(x, y);
+}
+
+template <typename T>
+bool almost_equal_cplx(experimental::complex<T> x, std::complex<T> y, int ulp) {
+  auto stdx = std::complex{x.real(), x.imag()};
+  auto diff = complex_magnitude(stdx - y);
+  return diff <= std::numeric_limits<T>::epsilon() * std::abs(stdx + y) * ulp ||
+         diff < std::numeric_limits<T>::min() || is_nan_or_inf(x, y);
+}
+
+template <typename T>
+bool almost_equal_cplx(std::complex<T> x, experimental::complex<T> y, int ulp) {
+  auto stdy = std::complex{y.real(), y.imag()};
+  auto diff = complex_magnitude(x - stdy);
+  return diff <= std::numeric_limits<T>::epsilon() * std::abs(x + stdy) * ulp ||
+         diff < std::numeric_limits<T>::min() || is_nan_or_inf(x, y);
+}
+
+template <typename T>
+bool almost_equal_cplx(std::complex<T> x, std::complex<T> y, int ulp) {
+  auto diff = complex_magnitude(x - y);
+  return diff <= std::numeric_limits<T>::epsilon() * std::abs(x + y) * ulp ||
+         diff < std::numeric_limits<T>::min() || is_nan_or_inf(x, y);
+}
+
+// Helpers for testing half
+
+std::complex<float> sycl_half_to_float(experimental::complex<sycl::half> c) {
+  auto c_sycl_float = static_cast<experimental::complex<float>>(c);
+  return static_cast<std::complex<float>>(c_sycl_float);
+}
+
+std::complex<sycl::half> sycl_float_to_half(std::complex<float> c) {
+  auto c_sycl_half = static_cast<experimental::complex<sycl::half>>(c);
+  return static_cast<std::complex<sycl::half>>(c_sycl_half);
+}
+
+std::complex<float> trunc_float(std::complex<float> c) {
+  auto c_sycl_half = static_cast<experimental::complex<sycl::half>>(c);
+  return sycl_half_to_float(c_sycl_half);
+}
+
+// Helper for initializing std::complex values for tests only needed because
+// sycl::half cases are emulated with float for std::complex class
+
+template <typename T_in> auto constexpr init_std_complex(T_in re, T_in im) {
+  return std::complex<T_in>(re, im);
+}
+
+template <> auto constexpr init_std_complex(sycl::half re, sycl::half im) {
+  return trunc_float(std::complex<float>(re, im));
+}
+
+template <typename T_in> auto constexpr init_deci(T_in re) { return re; }
+
+template <> auto constexpr init_deci(sycl::half re) {
+  return static_cast<float>(re);
+}
+
+// Helper for comparing SyclCPLX and standard c++ results
+
+template <typename T>
+bool check_results(experimental::complex<T> output, std::complex<T> reference,
+                   bool is_device) {
+  if (!almost_equal_cplx(output, reference, SYCL_CPLX_TOL_ULP)) {
+    std::cerr << std::setprecision(std::numeric_limits<T>::max_digits10)
+              << "Test failed with complex_type: " << get_typename<T>()
+              << " Computed on " << (is_device ? "device" : "host")
+              << " Output: " << output << " Reference: " << reference
+              << std::endl;
+    return false;
+  }
+  return true;
+}
+
+template <typename T>
+bool check_results(T output, T reference, bool is_device) {
+  if (!almost_equal_scalar(output, reference, SYCL_CPLX_TOL_ULP)) {
+    std::cerr << std::setprecision(std::numeric_limits<T>::max_digits10)
+              << "Test failed with complex_type: " << get_typename<T>()
+              << " Computed on " << (is_device ? "device" : "host")
+              << " Output: " << output << " Reference: " << reference
+              << std::endl;
+    return false;
+  }
+  return true;
+}
diff --git a/sycl/test-e2e/Complex/sycl_complex_math_test.cpp b/sycl/test-e2e/Complex/sycl_complex_math_test.cpp
new file mode 100644
index 0000000000000..35fb47438a2bc
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_math_test.cpp
@@ -0,0 +1,386 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sycl_complex_helper.hpp"
+#include "sycl_complex_math_test_cases.hpp"
+
+// Macro for testing complex in, complex out functions
+
+#define TEST_MATH_OP_TYPE(math_func)                                           \
+  template <typename T> struct test_##math_func {                              \
+    bool operator()(sycl::queue &Q, cmplx<T> init,                             \
+                    cmplx<T> ref = cmplx<T>(0, 0), bool use_ref = false) {     \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in = init_std_complex(init.re, init.im);                        \
+      experimental::complex<T> cplx_input{init.re, init.im};                   \
+                                                                               \
+      auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);    \
+                                                                               \
+      /*Get std::complex output*/                                              \
+      std::complex<T> std_out{ref.re, ref.im};                                 \
+      if (!use_ref)                                                            \
+        std_out = std::math_func(std_in);                                      \
+                                                                               \
+      /*Check cplx::complex output from device*/                               \
+      Q.single_task([=]() {                                                    \
+         cplx_out[0] = experimental::math_func<T>(cplx_input);                 \
+       }).wait();                                                              \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);         \
+                                                                               \
+      /*Check cplx::complex output from host*/                                 \
+      cplx_out[0] = experimental::math_func<T>(cplx_input);                    \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);        \
+                                                                               \
+      sycl::free(cplx_out, Q);                                                 \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+TEST_MATH_OP_TYPE(acos)
+TEST_MATH_OP_TYPE(asin)
+TEST_MATH_OP_TYPE(atan)
+TEST_MATH_OP_TYPE(acosh)
+TEST_MATH_OP_TYPE(asinh)
+TEST_MATH_OP_TYPE(atanh)
+TEST_MATH_OP_TYPE(conj)
+TEST_MATH_OP_TYPE(cos)
+TEST_MATH_OP_TYPE(cosh)
+TEST_MATH_OP_TYPE(exp)
+TEST_MATH_OP_TYPE(log)
+TEST_MATH_OP_TYPE(log10)
+TEST_MATH_OP_TYPE(proj)
+TEST_MATH_OP_TYPE(sin)
+TEST_MATH_OP_TYPE(sinh)
+TEST_MATH_OP_TYPE(sqrt)
+TEST_MATH_OP_TYPE(tan)
+TEST_MATH_OP_TYPE(tanh)
+
+#undef TEST_MATH_OP_TYPE
+
+// Macro for testing complex in, decimal out functions
+
+#define TEST_MATH_OP_TYPE(math_func)                                           \
+  template <typename T> struct test_##math_func {                              \
+    bool operator()(sycl::queue &Q, cmplx<T> init,                             \
+                    cmplx<T> ref = cmplx<T>(0, 0), bool use_ref = false) {     \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in = init_std_complex(init.re, init.im);                        \
+      experimental::complex<T> cplx_input{init.re, init.im};                   \
+                                                                               \
+      auto *cplx_out = sycl::malloc_shared<T>(1, Q);                           \
+                                                                               \
+      /*Get std::complex output*/                                              \
+      T std_out = ref.re;                                                      \
+      if (!use_ref)                                                            \
+        std_out = std::math_func(std_in);                                      \
+                                                                               \
+      /*Check cplx::complex output from device*/                               \
+      Q.single_task([=]() {                                                    \
+         cplx_out[0] = experimental::math_func<T>(cplx_input);                 \
+       }).wait();                                                              \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);         \
+                                                                               \
+      /*Check cplx::complex output from host*/                                 \
+      cplx_out[0] = experimental::math_func<T>(cplx_input);                    \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);        \
+                                                                               \
+      sycl::free(cplx_out, Q);                                                 \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+TEST_MATH_OP_TYPE(abs)
+TEST_MATH_OP_TYPE(arg)
+TEST_MATH_OP_TYPE(norm)
+TEST_MATH_OP_TYPE(real)
+TEST_MATH_OP_TYPE(imag)
+
+#undef TEST_MATH_OP_TYPE
+
+// Macro for testing decimal in, complex out functions
+
+#define TEST_MATH_OP_TYPE(math_func)                                           \
+  template <typename T, typename X> struct test_deci_cplx_##math_func {        \
+    bool operator()(sycl::queue &Q, X init, T ref = T{},                       \
+                    bool use_ref = false) {                                    \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in = init_deci(init);                                           \
+                                                                               \
+      /*Get std::complex output*/                                              \
+      std::complex<T> std_out = ref;                                           \
+      if (!use_ref)                                                            \
+        std_out = std::math_func(std_in);                                      \
+                                                                               \
+      auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);    \
+                                                                               \
+      /*Check cplx::complex output from device*/                               \
+      Q.single_task([=]() {                                                    \
+         cplx_out[0] = experimental::math_func<X>(std_in);                     \
+       }).wait();                                                              \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);         \
+                                                                               \
+      /*Check cplx::complex output from host*/                                 \
+      cplx_out[0] = experimental::math_func<X>(std_in);                        \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);        \
+                                                                               \
+      sycl::free(cplx_out, Q);                                                 \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+TEST_MATH_OP_TYPE(conj)
+TEST_MATH_OP_TYPE(proj)
+
+#undef TEST_MATH_OP_TYPE
+
+// Macro for testing decimal in, decimal out functions
+
+#define TEST_MATH_OP_TYPE(math_func)                                           \
+  template <typename T, typename X> struct test_deci_deci_##math_func {        \
+    bool operator()(sycl::queue &Q, X init, T ref = T{},                       \
+                    bool use_ref = false) {                                    \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in = init_deci(init);                                           \
+                                                                               \
+      /*Get std::complex output*/                                              \
+      T std_out = ref;                                                         \
+      if (!use_ref)                                                            \
+        std_out = std::math_func(std_in);                                      \
+                                                                               \
+      auto *cplx_out = sycl::malloc_shared<T>(1, Q);                           \
+                                                                               \
+      /*Check cplx::complex output from device*/                               \
+      Q.single_task([=]() {                                                    \
+         cplx_out[0] = experimental::math_func<X>(init);                       \
+       }).wait();                                                              \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);         \
+                                                                               \
+      /*Check cplx::complex output from host*/                                 \
+      cplx_out[0] = experimental::math_func<X>(init);                          \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);        \
+                                                                               \
+      sycl::free(cplx_out, Q);                                                 \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+TEST_MATH_OP_TYPE(arg)
+TEST_MATH_OP_TYPE(norm)
+TEST_MATH_OP_TYPE(real)
+TEST_MATH_OP_TYPE(imag)
+
+#undef TEST_MATH_OP_TYPE
+
+// Test for polar function
+// The real component is treated as radius rho, and the imaginary component as
+// angular value theta
+template <typename T> struct test_polar {
+  bool operator()(sycl::queue &Q, cmplx<T> init, cmplx<T> ref = cmplx<T>(0, 0),
+                  bool use_ref = false) {
+    bool pass = true;
+
+    auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);
+
+    /*Get std::complex output*/
+    std::complex<T> std_out{ref.re, ref.im};
+    if (!use_ref)
+      std_out = std::polar(init.re, init.im);
+
+    /*Check cplx::complex output from device*/
+    Q.single_task([=]() {
+       cplx_out[0] = experimental::polar<T>(init.re, init.im);
+     }).wait();
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);
+
+    /*Check cplx::complex output from host*/
+    cplx_out[0] = experimental::polar<T>(init.re, init.im);
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);
+
+    sycl::free(cplx_out, Q);
+
+    return pass;
+  }
+};
+
+int main() {
+  sycl::queue Q;
+
+  bool test_passes = true;
+
+  /* Test complex in, complex out functions */
+
+  {
+    cplx_test_cases<test_acos> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_asin> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_atan> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_acosh> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_asinh> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_atanh> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_conj> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_cos> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_cosh> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_log> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_log10> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_proj> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_sin> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_sinh> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_sqrt> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_tan> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_tanh> test;
+    test_passes &= test(Q);
+  }
+
+  /* Test complex in, decimal out functions */
+
+  {
+    cplx_test_cases<test_abs> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_arg> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_norm> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_real> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    cplx_test_cases<test_imag> test;
+    test_passes &= test(Q);
+  }
+
+  /* Test decimal in, complex out functions */
+
+  {
+    deci_test_cases<test_deci_cplx_conj> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    deci_test_cases<test_deci_cplx_proj> test;
+    test_passes &= test(Q);
+  }
+
+  /* Test decimal in, decimal out functions */
+
+  {
+    deci_test_cases<test_deci_deci_arg> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    deci_test_cases<test_deci_deci_norm> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    deci_test_cases<test_deci_deci_real> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    deci_test_cases<test_deci_deci_imag> test;
+    test_passes &= test(Q);
+  }
+
+  /* Test polar function */
+
+  {
+    cplx_test_cases<test_polar> test;
+    test_passes &= test(Q);
+  }
+
+  return !test_passes;
+}
diff --git a/sycl/test-e2e/Complex/sycl_complex_math_test_cases.hpp b/sycl/test-e2e/Complex/sycl_complex_math_test_cases.hpp
new file mode 100644
index 0000000000000..4cfd29a2e9e8c
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_math_test_cases.hpp
@@ -0,0 +1,352 @@
+using std::pair;
+using std::tuple;
+using std::vector;
+
+// Forward declaration of tests
+
+template <typename T> class test_acos;
+template <typename T> class test_asin;
+template <typename T> class test_atan;
+template <typename T> class test_acosh;
+template <typename T> class test_asinh;
+template <typename T> class test_atanh;
+template <typename T> class test_conj;
+template <typename T> class test_cos;
+template <typename T> class test_cosh;
+template <typename T> class test_exp;
+template <typename T> class test_log;
+template <typename T> class test_log10;
+template <typename T> class test_proj;
+template <typename T> class test_sin;
+template <typename T> class test_sinh;
+template <typename T> class test_sqrt;
+template <typename T> class test_tan;
+template <typename T> class test_tanh;
+
+template <typename T> class test_abs;
+template <typename T> class test_arg;
+template <typename T> class test_norm;
+template <typename T> class test_real;
+template <typename T> class test_imag;
+
+template <typename T, typename X> class test_deci_cplx_conj;
+template <typename T, typename X> class test_deci_cplx_proj;
+
+template <typename T, typename X> class test_deci_deci_arg;
+template <typename T, typename X> class test_deci_deci_norm;
+template <typename T, typename X> class test_deci_deci_real;
+template <typename T, typename X> class test_deci_deci_imag;
+
+template <typename T> class test_polar;
+
+// Stores test cases for each complex-complex math function used in
+// sycl_complex_math_test.cpp
+// Values are stored in the highest precision type, in this case that is double
+
+template <template <typename> typename test_struct> struct cplx_test_cases {
+  // Default test cases
+  static vector<cmplx<double>> std_test_values;
+  static vector<tuple<cmplx<double>, cmplx<double>>> comp_test_values;
+
+  static const char *test_name;
+
+  bool operator()(sycl::queue &Q) {
+    bool test_passes = true;
+
+    for (auto &test_value : std_test_values) {
+      test_passes &= test_valid_types<test_struct>(Q, test_value);
+    }
+
+    for (auto &test_tuple : comp_test_values) {
+      test_passes &= test_valid_types<test_struct>(Q, get<0>(test_tuple),
+                                                   get<1>(test_tuple),
+                                                   /*use_ref*/ true);
+    }
+
+    if (!test_passes)
+      std::cerr << test_name << " failed\n";
+
+    return test_passes;
+  }
+};
+
+// Stores test cases for each math decimal-complex function used in
+// sycl_complex_math_test.cpp
+// Values are stored in the highest precision type, in this case that is double
+
+template <template <typename, typename> typename test_struct>
+struct deci_test_cases {
+  // Default test cases
+  static vector<double> std_test_values;
+  static vector<tuple<double, double>> comp_test_values;
+
+  static const char *test_name;
+
+  bool operator()(sycl::queue &Q) {
+    bool test_passes = true;
+
+    for (auto &test_value : std_test_values) {
+      test_passes &= test_valid_types<test_struct>(Q, test_value);
+    }
+
+    for (auto &test_tuple : comp_test_values) {
+      test_passes &= test_valid_types<test_struct>(Q, std::get<0>(test_tuple),
+                                                   std::get<1>(test_tuple),
+                                                   /*use_ref*/ true);
+    }
+
+    if (!test_passes)
+      std::cerr << test_name << " failed\n";
+
+    return test_passes;
+  }
+};
+
+template <template <typename> typename test_struct>
+vector<cmplx<double>> cplx_test_cases<test_struct>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(-1, 1),
+    cmplx(1, -1),
+    cmplx(-1, -1),
+    cmplx(INFINITYd, 2.02),
+    cmplx(4.42, INFINITYd),
+    cmplx(INFINITYd, INFINITYd),
+    cmplx(NANd, 2.02),
+    cmplx(4.42, NANd),
+    cmplx(NANd, NANd),
+    cmplx(NANd, INFINITYd),
+    cmplx(INFINITYd, NANd),
+};
+
+template <template <typename> typename test_struct>
+vector<tuple<cmplx<double>, cmplx<double>>>
+    cplx_test_cases<test_struct>::comp_test_values = {};
+
+template <template <typename, typename> typename test_struct>
+vector<double> deci_test_cases<test_struct>::std_test_values = {
+    4.42,
+    2.02,
+    INFINITYd,
+    NANd,
+};
+
+template <template <typename, typename> typename test_struct>
+vector<tuple<double, double>> deci_test_cases<test_struct>::comp_test_values =
+    {};
+
+// test_acos
+template <> const char *cplx_test_cases<test_acos>::test_name = "acos test";
+
+// test_asin
+template <> const char *cplx_test_cases<test_asin>::test_name = "asin test";
+
+// test_atan
+template <> const char *cplx_test_cases<test_atan>::test_name = "atan test";
+
+template <>
+vector<cmplx<double>> cplx_test_cases<test_atan>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(-1, 1),
+    cmplx(1, -1),
+    cmplx(-1, -1),
+    cmplx(INFINITYd, 2.02),
+    cmplx(4.42, INFINITYd),
+    cmplx(INFINITYd, INFINITYd),
+    cmplx(NANd, 2.02),
+    cmplx(4.42, NANd),
+    cmplx(NANd, NANd),
+    cmplx(NANd, INFINITYd),
+};
+
+// MSVC complex handles some error codes differently
+// So check against reference value
+template <>
+vector<tuple<cmplx<double>, cmplx<double>>>
+    cplx_test_cases<test_atan>::comp_test_values = {
+        tuple(cmplx(INFINITYd, NANd), cmplx(PI / 2.0, 0.0))};
+
+// test_acosh
+template <> const char *cplx_test_cases<test_acosh>::test_name = "acosh test";
+
+// test_asinh
+template <> const char *cplx_test_cases<test_asinh>::test_name = "asinh test";
+
+// test_atanh
+template <> const char *cplx_test_cases<test_atanh>::test_name = "atanh test";
+
+template <>
+vector<cmplx<double>> cplx_test_cases<test_atanh>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(-1, 1),
+    cmplx(1, -1),
+    cmplx(-1, -1),
+    cmplx(INFINITYd, 2.02),
+    cmplx(4.42, INFINITYd),
+    cmplx(INFINITYd, INFINITYd),
+    cmplx(NANd, 2.02),
+    cmplx(4.42, NANd),
+    cmplx(NANd, NANd),
+    cmplx(INFINITYd, NANd),
+};
+
+// MSVC complex handles some error codes differently
+// So check against reference value
+template <>
+vector<tuple<cmplx<double>, cmplx<double>>>
+    cplx_test_cases<test_atanh>::comp_test_values = {
+        tuple(cmplx(NANd, INFINITYd), cmplx(0.0, PI / 2.0))};
+
+// test_conj
+template <> const char *cplx_test_cases<test_conj>::test_name = "conj test";
+
+// test_cos
+template <> const char *cplx_test_cases<test_cos>::test_name = "cos test";
+
+// test_cosh
+template <> const char *cplx_test_cases<test_cosh>::test_name = "cosh test";
+
+// test_exp
+template <> const char *cplx_test_cases<test_exp>::test_name = "exp test";
+
+// test_log
+template <> const char *cplx_test_cases<test_log>::test_name = "log test";
+
+// test_log10
+template <> const char *cplx_test_cases<test_log10>::test_name = "log10 test";
+
+// test_proj
+template <> const char *cplx_test_cases<test_proj>::test_name = "proj test";
+
+// test_sin
+template <> const char *cplx_test_cases<test_sin>::test_name = "sin test";
+
+// test_sinh
+template <> const char *cplx_test_cases<test_sinh>::test_name = "sinh test";
+
+// test_sqrt
+template <> const char *cplx_test_cases<test_sqrt>::test_name = "sqrt test";
+
+// test_tan
+template <> const char *cplx_test_cases<test_tan>::test_name = "tan test";
+
+template <>
+vector<cmplx<double>> cplx_test_cases<test_tan>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(-1, 1),
+    cmplx(1, -1),
+    cmplx(-1, -1),
+    cmplx(INFINITYd, 2.02),
+    cmplx(4.42, INFINITYd),
+    cmplx(NANd, 2.02),
+    cmplx(4.42, NANd),
+    cmplx(NANd, NANd),
+    cmplx(INFINITYd, NANd),
+};
+
+// MSVC complex handles some error codes differently
+// So check against reference value
+template <>
+vector<tuple<cmplx<double>, cmplx<double>>>
+    cplx_test_cases<test_tan>::comp_test_values = {
+        tuple(cmplx(INFINITYd, INFINITYd), cmplx(0.0, 1.0)),
+        tuple(cmplx(NANd, INFINITYd), cmplx(0.0, 1.0))};
+
+// test_tanh
+template <> const char *cplx_test_cases<test_tanh>::test_name = "tanh test";
+
+template <>
+vector<cmplx<double>> cplx_test_cases<test_tanh>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(-1, 1),
+    cmplx(1, -1),
+    cmplx(-1, -1),
+    cmplx(INFINITYd, 2.02),
+    cmplx(4.42, INFINITYd),
+    cmplx(NANd, 2.02),
+    cmplx(4.42, NANd),
+    cmplx(NANd, NANd),
+    cmplx(NANd, INFINITYd),
+};
+
+// MSVC complex handles some error codes differently
+// So check against reference value
+template <>
+vector<tuple<cmplx<double>, cmplx<double>>>
+    cplx_test_cases<test_tanh>::comp_test_values = {
+        tuple(cmplx(INFINITYd, INFINITYd), cmplx(1.0, 0.0)),
+        tuple(cmplx(INFINITYd, NANd), cmplx(1.0, 0.0))};
+
+// test_abs
+template <> const char *cplx_test_cases<test_abs>::test_name = "abs test";
+
+// test_arg
+template <> const char *cplx_test_cases<test_arg>::test_name = "arg test";
+
+// test_norm
+// Difference between libstdc++ and libc++ when NaN's and Inf values are
+// combined.
+template <>
+vector<cmplx<double>> cplx_test_cases<test_norm>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(-1, 1),
+    cmplx(1, -1),
+    cmplx(-1, -1),
+    cmplx(INFINITYd, 2.02),
+    cmplx(4.42, INFINITYd),
+    cmplx(INFINITYd, INFINITYd),
+    cmplx(NANd, 2.02),
+    cmplx(4.42, NANd),
+    cmplx(NANd, NANd),
+};
+
+template <> const char *cplx_test_cases<test_norm>::test_name = "norm test";
+
+// test real
+template <> const char *cplx_test_cases<test_real>::test_name = "real test";
+
+// test imag
+template <> const char *cplx_test_cases<test_imag>::test_name = "imag test";
+
+// test conj
+template <>
+const char *deci_test_cases<test_deci_cplx_conj>::test_name = "conj test";
+
+// test proj
+template <>
+const char *deci_test_cases<test_deci_cplx_proj>::test_name = "proj test";
+
+// test arg
+template <>
+const char *deci_test_cases<test_deci_deci_arg>::test_name = "arg test";
+
+template <>
+vector<double> deci_test_cases<test_deci_deci_arg>::std_test_values = {
+    4.42,
+    2.02,
+    INFINITYd,
+};
+
+// test norm
+template <>
+const char *deci_test_cases<test_deci_deci_norm>::test_name = "norm test";
+
+// test real
+template <>
+const char *deci_test_cases<test_deci_deci_real>::test_name = "real test";
+
+// test imag
+template <>
+const char *deci_test_cases<test_deci_deci_imag>::test_name = "imag test";
+
+// test_polar
+// Note: values represent rho and theta, not real and imaginary values
+// Output is undefined if rho is negative or Nan, or theta is Inf
+template <>
+vector<cmplx<double>> cplx_test_cases<test_polar>::std_test_values = {
+    cmplx(1, 1),
+    cmplx(1, -1),
+    cmplx(2, 0),
+    cmplx(0.5, 3.14),
+};
+
+template <> const char *cplx_test_cases<test_polar>::test_name = "polar test";
diff --git a/sycl/test-e2e/Complex/sycl_complex_operator_test.cpp b/sycl/test-e2e/Complex/sycl_complex_operator_test.cpp
new file mode 100644
index 0000000000000..26e96baf80f3f
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_operator_test.cpp
@@ -0,0 +1,184 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sycl_complex_helper.hpp"
+#include "sycl_complex_operator_test_cases.hpp"
+
+#define test_op(name, op)                                                      \
+  template <typename T> struct name {                                          \
+    bool operator()(sycl::queue &Q, T init_re1, T init_im1, T init_re2,        \
+                    T init_im2) {                                              \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in1 = init_std_complex(init_re1, init_im1);                     \
+      auto std_in2 = init_std_complex(init_re2, init_im2);                     \
+      experimental::complex<T> cplx_input1{init_re1, init_im1};                \
+      experimental::complex<T> cplx_input2{init_re2, init_im2};                \
+                                                                               \
+      auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);    \
+                                                                               \
+      std::complex<T> std_out;                                                 \
+      std_out = std_in1 op std_in2;                                            \
+                                                                               \
+      Q.single_task([=]() {                                                    \
+         cplx_out[0] = cplx_input1 op cplx_input2;                             \
+       }).wait();                                                              \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);         \
+                                                                               \
+      cplx_out[0] = cplx_input1 op cplx_input2;                                \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);        \
+                                                                               \
+      sycl::free(cplx_out, Q);                                                 \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+test_op(test_add, +);
+test_op(test_sub, -);
+test_op(test_mul, *);
+test_op(test_div, /);
+
+#undef test_op
+
+#define test_op_assign(name, op_assign)                                        \
+  template <typename T> struct name {                                          \
+    bool operator()(sycl::queue &Q, T init_re1, T init_im1, T init_re2,        \
+                    T init_im2) {                                              \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in = init_std_complex(init_re1, init_im1);                      \
+      experimental::complex<T> cplx_input{init_re1, init_im1};                 \
+                                                                               \
+      auto std_inout = init_std_complex(init_re2, init_im2);                   \
+      auto *cplx_inout = sycl::malloc_shared<experimental::complex<T>>(1, Q);  \
+      cplx_inout[0].real(init_re2);                                            \
+      cplx_inout[0].imag(init_im2);                                            \
+                                                                               \
+      std_inout op_assign std_in;                                              \
+                                                                               \
+      Q.single_task([=]() { cplx_inout[0] op_assign cplx_input; }).wait();     \
+                                                                               \
+      pass &= check_results(                                                   \
+          cplx_inout[0], std::complex<T>(std_inout.real(), std_inout.imag()),  \
+          /*is_device*/ true);                                                 \
+                                                                               \
+      cplx_inout[0].real(init_re2);                                            \
+      cplx_inout[0].imag(init_im2);                                            \
+                                                                               \
+      cplx_inout[0] op_assign cplx_input;                                      \
+                                                                               \
+      pass &= check_results(                                                   \
+          cplx_inout[0], std::complex<T>(std_inout.real(), std_inout.imag()),  \
+          /*is_device*/ false);                                                \
+                                                                               \
+      sycl::free(cplx_inout, Q);                                               \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+test_op_assign(test_add_assign, +=);
+test_op_assign(test_sub_assign, -=);
+test_op_assign(test_mul_assign, *=);
+test_op_assign(test_div_assign, /=);
+
+#undef test_op_assign
+
+// Macro for testing unary operators
+
+#define test_op_unary(name, op)                                                \
+  template <typename T> struct name {                                          \
+    bool operator()(sycl::queue &Q, T init_re1, T init_im1, T init_re2,        \
+                    T init_im2) {                                              \
+      bool pass = true;                                                        \
+                                                                               \
+      auto std_in = init_std_complex(init_re1, init_im1);                      \
+      experimental::complex<T> cplx_input{init_re1, init_im1};                 \
+                                                                               \
+      std::complex<T> std_out{};                                               \
+      auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);    \
+                                                                               \
+      std_out = op std_in;                                                     \
+                                                                               \
+      Q.single_task([=]() { cplx_out[0] = op cplx_input; }).wait();            \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);         \
+                                                                               \
+      cplx_out[0] = op cplx_input;                                             \
+                                                                               \
+      pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);        \
+                                                                               \
+      sycl::free(cplx_out, Q);                                                 \
+                                                                               \
+      return pass;                                                             \
+    }                                                                          \
+  };
+
+test_op_unary(test_unary_plus, +);
+test_op_unary(test_unary_minus, -);
+
+#undef test_op_unary
+
+int main() {
+  sycl::queue Q;
+
+  bool test_passes = true;
+
+  {
+    test_cases<test_add> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_sub> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_mul> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_div> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_add_assign> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_sub_assign> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_mul_assign> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_div_assign> test;
+    test_passes &= test(Q);
+  }
+
+  /* Test unary operators */
+
+  {
+    test_cases<test_unary_plus> test;
+    test_passes &= test(Q);
+  }
+  {
+    test_cases<test_unary_minus> test;
+    test_passes &= test(Q);
+  }
+
+  return !test_passes;
+}
diff --git a/sycl/test-e2e/Complex/sycl_complex_operator_test_cases.hpp b/sycl/test-e2e/Complex/sycl_complex_operator_test_cases.hpp
new file mode 100644
index 0000000000000..02ad05d3d64b4
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_operator_test_cases.hpp
@@ -0,0 +1,86 @@
+using std::pair;
+using std::vector;
+
+// Forward decleration of tests
+
+template <typename T> class test_add;
+template <typename T> class test_sub;
+template <typename T> class test_mul;
+template <typename T> class test_div;
+
+template <typename T> class test_add_assign;
+template <typename T> class test_sub_assign;
+template <typename T> class test_mul_assign;
+template <typename T> class test_div_assign;
+
+template <typename T> class test_unary_plus;
+template <typename T> class test_unary_minus;
+
+// Stores test cases for each math function used in sycl_complex_math_test.cpp
+// Values are stored in the highest precision type, in this case that is double
+
+template <template <typename> typename test_struct> struct test_cases {
+  static vector<pair<cmplx<double>, cmplx<double>>> test_values;
+  static const char *test_name;
+
+  bool operator()(sycl::queue &Q) {
+    bool test_passes = true;
+
+    for (auto &test_value : test_values) {
+      test_passes &= test_valid_types<test_struct>(
+          Q, test_value.first.re, test_value.first.im, test_value.second.re,
+          test_value.second.im);
+    }
+
+    if (!test_passes)
+      std::cerr << test_name << " failed\n";
+
+    return test_passes;
+  }
+};
+
+template <template <typename> typename test_struct>
+vector<pair<cmplx<double>, cmplx<double>>>
+    test_cases<test_struct>::test_values = {
+        pair(cmplx(-1, 1), cmplx(1, 1)),  pair(cmplx(-1, 1), cmplx(-1, 1)),
+        pair(cmplx(-1, 1), cmplx(1, -1)), pair(cmplx(-1, 1), cmplx(-1, -1)),
+
+        pair(cmplx(1, 1), cmplx(-1, 1)),  pair(cmplx(-1, 1), cmplx(-1, 1)),
+        pair(cmplx(1, -1), cmplx(-1, 1)), pair(cmplx(-1, -1), cmplx(-1, 1)),
+};
+
+// test_add
+template <> const char *test_cases<test_add>::test_name = "addition test";
+
+// test_sub
+template <> const char *test_cases<test_sub>::test_name = "subtraction test";
+
+// test_mul
+template <> const char *test_cases<test_mul>::test_name = "multiplication test";
+
+// test_div
+template <> const char *test_cases<test_div>::test_name = "division test";
+
+// test_add_assign
+template <>
+const char *test_cases<test_add_assign>::test_name = "addition assign test";
+
+// test_sub_assign
+template <>
+const char *test_cases<test_sub_assign>::test_name = "subtraction assign test";
+
+// test_mul_assign
+template <>
+const char *test_cases<test_mul_assign>::test_name =
+    "muliplication assign test";
+
+// test_div_assign
+template <>
+const char *test_cases<test_div_assign>::test_name = "division assign test";
+
+// test_unary_plus
+template <> const char *test_cases<test_unary_plus>::test_name = "unary + test";
+
+// test_unary_minus
+template <>
+const char *test_cases<test_unary_minus>::test_name = "unary - test";
diff --git a/sycl/test-e2e/Complex/sycl_complex_pow_test.cpp b/sycl/test-e2e/Complex/sycl_complex_pow_test.cpp
new file mode 100644
index 0000000000000..e78aaf383079f
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_pow_test.cpp
@@ -0,0 +1,268 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sycl_complex_helper.hpp"
+
+using std::get;
+using std::pair;
+using std::tuple;
+using std::vector;
+
+template <template <typename> typename test_struct> struct test_cases {
+  static vector<pair<cmplx<double>, cmplx<double>>> std_test_values;
+
+  static vector<tuple<cmplx<double>, cmplx<double>, cmplx<double>>>
+      comp_test_values;
+
+  static const char *test_name;
+
+  bool operator()(sycl::queue &Q) {
+    bool test_passes = true;
+
+    for (auto &test_pair : std_test_values) {
+      test_passes &=
+          test_valid_types<test_struct>(Q, test_pair.first, test_pair.second);
+    }
+
+    for (auto &test_tuple : comp_test_values) {
+      test_passes &= test_valid_types<test_struct>(
+          Q, get<0>(test_tuple), get<1>(test_tuple), get<2>(test_tuple),
+          /*use_ref*/ true);
+    }
+
+    if (!test_passes)
+      std::cerr << test_name << " failed\n";
+
+    return test_passes;
+  }
+};
+
+// Tests for different pow function overloads
+
+template <typename T> struct test_pow_cplx_cplx {
+  bool operator()(sycl::queue &Q, cmplx<T> init1, cmplx<T> init2,
+                  cmplx<T> ref = {0, 0}, bool use_ref = false) {
+    bool pass = true;
+
+    auto std_in1 = init_std_complex(init1.re, init1.im);
+    auto std_in2 = init_std_complex(init2.re, init2.im);
+    experimental::complex<T> cplx_input1{init1.re, init1.im};
+    experimental::complex<T> cplx_input2{init2.re, init2.im};
+
+    auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);
+
+    // Get std::complex output
+    std::complex<T> std_out{ref.re, ref.im};
+    if (!use_ref)
+      std_out = std::pow(std_in1, std_in2);
+
+    // Check cplx::complex output from device
+    Q.single_task([=]() {
+       cplx_out[0] = experimental::pow<T>(cplx_input1, cplx_input2);
+     }).wait();
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);
+
+    // Check cplx::complex output from host
+    cplx_out[0] = experimental::pow<T>(cplx_input1, cplx_input2);
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);
+
+    sycl::free(cplx_out, Q);
+
+    return pass;
+  }
+};
+
+// Only real component of init2 is used
+template <typename T> struct test_pow_cplx_deci {
+  bool operator()(sycl::queue &Q, cmplx<T> init1, cmplx<T> init2,
+                  cmplx<T> ref = {0, 0}, bool use_ref = false) {
+    bool pass = true;
+
+    auto std_in = init_std_complex(init1.re, init1.im);
+    auto std_deci_in = init_deci(init2.re);
+    experimental::complex<T> cplx_input{init1.re, init1.im};
+    T deci_input = init2.re;
+
+    auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);
+
+    // Get std::complex output
+    std::complex<T> std_out{ref.re, ref.im};
+    if (!use_ref)
+      std_out = std::pow(std_in, std_deci_in);
+
+    // Check cplx::complex output from device
+    Q.single_task([=]() {
+       cplx_out[0] = experimental::pow(cplx_input, deci_input);
+     }).wait();
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);
+
+    // Check cplx::complex output from host
+    cplx_out[0] = experimental::pow(cplx_input, deci_input);
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);
+
+    sycl::free(cplx_out, Q);
+
+    return pass;
+  }
+};
+
+// Only real component of init1 is used
+template <typename T> struct test_pow_deci_cplx {
+  bool operator()(sycl::queue &Q, cmplx<T> init1, cmplx<T> init2,
+                  cmplx<T> ref = {0, 0}, bool use_ref = false) {
+    bool pass = true;
+
+    auto std_in = init_std_complex(init2.re, init2.im);
+    auto std_deci_in = init_deci(init1.re);
+    experimental::complex<T> cplx_input{init2.re, init2.im};
+    T deci_input = init1.re;
+
+    auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);
+
+    // Get std::complex output
+    std::complex<T> std_out{ref.re, ref.im};
+    if (!use_ref)
+      std_out = std::pow(std_deci_in, std_in);
+
+    // Check cplx::complex output from device
+    Q.single_task([=]() {
+       cplx_out[0] = experimental::pow(deci_input, cplx_input);
+     }).wait();
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ true);
+
+    // Check cplx::complex output from host
+    cplx_out[0] = experimental::pow(deci_input, cplx_input);
+
+    pass &= check_results(cplx_out[0], std_out, /*is_device*/ false);
+
+    sycl::free(cplx_out, Q);
+
+    return pass;
+  }
+};
+
+// test_pow_cplx_cplx
+template <>
+vector<pair<cmplx<double>, cmplx<double>>>
+    test_cases<test_pow_cplx_cplx>::std_test_values = {
+        pair(cmplx(4.5, 2.0), cmplx(3.0, 1.5)),
+        pair(cmplx(9.0, 0.0), cmplx(0.5, 0.0)),
+        pair(cmplx(1.0, 1.0), cmplx(-1.0, -1.0)),
+        pair(cmplx(1.0, 1.0), cmplx(0.5, 0.5)),
+        pair(cmplx(-1.0, -1.0), cmplx(-1.0, -1.0)),
+};
+
+template <>
+vector<tuple<cmplx<double>, cmplx<double>, cmplx<double>>> test_cases<
+    test_pow_cplx_cplx>::comp_test_values = {
+    tuple(cmplx(INFINITYd, 2.02), cmplx(4.42, 2.02), cmplx(INFINITYd, NANd)),
+    tuple(cmplx(4.42, INFINITYd), cmplx(4.42, 2.02), cmplx(INFINITYd, NANd)),
+    tuple(cmplx(INFINITYd, INFINITYd), cmplx(4.42, 2.02),
+          cmplx(INFINITYd, NANd)),
+    tuple(cmplx(NANd, 2.02), cmplx(4.42, 2.02), cmplx(NANd, NANd)),
+    tuple(cmplx(4.42, NANd), cmplx(4.42, 2.02), cmplx(NANd, NANd)),
+    tuple(cmplx(NANd, NANd), cmplx(4.42, 2.02), cmplx(NANd, NANd)),
+    tuple(cmplx(NANd, INFINITYd), cmplx(4.42, 2.02), cmplx(INFINITYd, NANd)),
+    tuple(cmplx(INFINITYd, NANd), cmplx(4.42, 2.02), cmplx(INFINITYd, NANd)),
+    tuple(cmplx(NANd, INFINITYd), cmplx(4.42, 2.02), cmplx(INFINITYd, NANd)),
+    tuple(cmplx(INFINITYd, NANd), cmplx(4.42, 2.02), cmplx(INFINITYd, NANd)),
+};
+
+template <>
+const char *test_cases<test_pow_cplx_cplx>::test_name =
+    "pow complex complex test";
+
+// test_pow_cplx_deci
+template <>
+vector<pair<cmplx<double>, cmplx<double>>>
+    test_cases<test_pow_cplx_deci>::std_test_values = {
+        pair(cmplx(4.5, 2.0), cmplx(3.0, 0.0)),
+        pair(cmplx(9.0, 0.0), cmplx(0.5, 0.0)),
+        pair(cmplx(1.0, 1.0), cmplx(-1.0, 0.0)),
+        pair(cmplx(1.0, 1.0), cmplx(0.5, 0.0)),
+        pair(cmplx(-1.0, -1.0), cmplx(-1.0, -0.0)),
+};
+
+template <>
+vector<tuple<cmplx<double>, cmplx<double>, cmplx<double>>>
+    test_cases<test_pow_cplx_deci>::comp_test_values = {
+        tuple(cmplx(INFINITYd, 2.02), cmplx(4.42, 0.0), cmplx(INFINITYd, NANd)),
+        tuple(cmplx(4.42, INFINITYd), cmplx(4.42, 0.0), cmplx(INFINITYd, NANd)),
+        tuple(cmplx(INFINITYd, INFINITYd), cmplx(4.42, 0.0),
+              cmplx(INFINITYd, NANd)),
+        tuple(cmplx(NANd, 2.02), cmplx(4.42, 0.0), cmplx(NANd, NANd)),
+        tuple(cmplx(4.42, NANd), cmplx(4.42, 0.0), cmplx(NANd, NANd)),
+        tuple(cmplx(NANd, NANd), cmplx(4.42, 0.0), cmplx(NANd, NANd)),
+        tuple(cmplx(NANd, INFINITYd), cmplx(4.42, 0.0), cmplx(INFINITYd, NANd)),
+        tuple(cmplx(INFINITYd, NANd), cmplx(4.42, 0.0), cmplx(INFINITYd, NANd)),
+        tuple(cmplx(NANd, INFINITYd), cmplx(4.42, 0.0), cmplx(INFINITYd, NANd)),
+        tuple(cmplx(INFINITYd, NANd), cmplx(4.42, 0.0), cmplx(INFINITYd, NANd)),
+};
+
+template <>
+const char *test_cases<test_pow_cplx_deci>::test_name =
+    "pow complex decimal test";
+
+// test_pow_deci_cplx
+template <>
+vector<pair<cmplx<double>, cmplx<double>>>
+    test_cases<test_pow_deci_cplx>::std_test_values = {
+        pair(cmplx(4.5, 0.0), cmplx(3.0, 1.5)),
+        pair(cmplx(9.0, 0.0), cmplx(0.5, 0.0)),
+        pair(cmplx(1.0, 0.0), cmplx(-1.0, -1.0)),
+        pair(cmplx(1.0, 0.0), cmplx(0.5, 0.5)),
+        pair(cmplx(-1.0, 0.0), cmplx(-1.0, -1.0)),
+};
+
+template <>
+vector<tuple<cmplx<double>, cmplx<double>, cmplx<double>>> test_cases<
+    test_pow_deci_cplx>::comp_test_values = {
+    tuple(cmplx(4.42, 0.0), cmplx(INFINITYd, 2.02), cmplx(INFINITYd, -NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(4.42, INFINITYd), cmplx(NANd, -NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(INFINITYd, INFINITYd),
+          cmplx(INFINITYd, NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(NANd, 2.02), cmplx(NANd, NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(4.42, NANd), cmplx(NANd, NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(NANd, NANd), cmplx(NANd, NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(NANd, INFINITYd), cmplx(-NANd, -NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(INFINITYd, NANd), cmplx(INFINITYd, -NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(NANd, INFINITYd), cmplx(-NANd, -NANd)),
+    tuple(cmplx(4.42, 0.0), cmplx(INFINITYd, NANd), cmplx(INFINITYd, -NANd)),
+};
+
+template <>
+const char *test_cases<test_pow_deci_cplx>::test_name =
+    "pow decimal complex test";
+
+int main() {
+  sycl::queue Q;
+
+  bool test_passes = true;
+
+  {
+    test_cases<test_pow_cplx_cplx> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_pow_cplx_deci> test;
+    test_passes &= test(Q);
+  }
+
+  {
+    test_cases<test_pow_deci_cplx> test;
+    test_passes &= test(Q);
+  }
+
+  if (!test_passes)
+    std::cerr << "pow test failed\n";
+
+  return !test_passes;
+}
diff --git a/sycl/test-e2e/Complex/sycl_complex_stream_test.cpp b/sycl/test-e2e/Complex/sycl_complex_stream_test.cpp
new file mode 100644
index 0000000000000..9aa10c6db60c5
--- /dev/null
+++ b/sycl/test-e2e/Complex/sycl_complex_stream_test.cpp
@@ -0,0 +1,94 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "sycl_complex_helper.hpp"
+
+template <typename T> struct test_sycl_stream_operator {
+  bool operator()(sycl::queue &Q, cmplx<T> init) {
+    auto *cplx_out = sycl::malloc_shared<experimental::complex<T>>(1, Q);
+    cplx_out[0] = experimental::complex<T>(init.re, init.im);
+
+    Q.submit([&](sycl::handler &CGH) {
+       sycl::stream Out(512, 20, CGH);
+       CGH.parallel_for<>(sycl::range<1>(1), [=](sycl::id<1> idx) {
+         Out << cplx_out[idx] << sycl::endl;
+       });
+     }).wait();
+
+    sycl::free(cplx_out, Q);
+    return true;
+  }
+};
+
+// Host only tests for std::basic_ostream and std::basic_istream
+template <typename T> struct test_ostream_operator {
+  bool operator()(cmplx<T> init) {
+    experimental::complex<T> c(init.re, init.im);
+
+    std::ostringstream os;
+    os << c;
+
+    std::ostringstream ref_oss;
+    ref_oss << "(" << init.re << "," << init.im << ")";
+
+    if (ref_oss.str() == os.str())
+      return true;
+    return false;
+  }
+};
+
+template <typename T> struct test_istream_operator {
+  bool operator()(cmplx<T> init) {
+    experimental::complex<T> c(init.re, init.im);
+
+    std::ostringstream ref_oss;
+    ref_oss << "(" << init.re << "," << init.im << ")";
+
+    std::istringstream iss(ref_oss.str());
+
+    iss >> c;
+
+    return check_results(c, std::complex<T>(init.re, init.im),
+                         /*is_device*/ false);
+  }
+};
+
+template <typename T> bool test_common(sycl::queue Q) {
+  bool test_passes = true;
+  test_passes &=
+      test_valid_types<test_sycl_stream_operator>(Q, cmplx<T>(1.5, -1.0));
+  test_passes &= test_valid_types<test_sycl_stream_operator>(
+      Q, cmplx<T>(INFINITY, INFINITY));
+  test_passes &=
+      test_valid_types<test_sycl_stream_operator>(Q, cmplx<T>(NAN, NAN));
+
+  test_passes &= test_valid_types<test_ostream_operator>(cmplx<T>(1.5, -1.0));
+  test_passes &=
+      test_valid_types<test_ostream_operator>(cmplx<T>(INFINITY, INFINITY));
+  test_passes &= test_valid_types<test_ostream_operator>(cmplx<T>(NAN, NAN));
+
+  test_passes &= test_valid_types<test_istream_operator>(cmplx<T>(1.5, -1.0));
+  test_passes &=
+      test_valid_types<test_istream_operator>(cmplx<T>(INFINITY, INFINITY));
+  test_passes &= test_valid_types<test_istream_operator>(cmplx<T>(NAN, NAN));
+  return test_passes;
+}
+
+int main() {
+  sycl::queue Q;
+
+  bool test_passes = true;
+
+  test_passes &= test_common<float>(Q);
+  if (Q.get_device().has(sycl::aspect::fp16))
+    test_passes &= test_common<sycl::half>(Q);
+  if (Q.get_device().has(sycl::aspect::fp64))
+    test_passes &= test_common<double>(Q);
+
+  if (!test_passes)
+    std::cerr << "Stream operator with complex test fails\n";
+
+  return !test_passes;
+}
diff --git a/sycl/test-e2e/Config/allowlist.cpp b/sycl/test-e2e/Config/allowlist.cpp
new file mode 100644
index 0000000000000..b4e093055d02c
--- /dev/null
+++ b/sycl/test-e2e/Config/allowlist.cpp
@@ -0,0 +1,114 @@
+// REQUIRES: cpu
+// RUN: %clangxx -fsycl %s -o %t.out
+//
+// RUN: env PRINT_DEVICE_INFO=1 %t.out > %t1.conf
+// RUN: env TEST_DEVICE_AVAILABLE=1 env SYCL_CONFIG_FILE_NAME=%t1.conf %t.out
+//
+// RUN: env PRINT_PLATFORM_INFO=1 %t.out > %t2.conf
+// RUN: env TEST_DEVICE_AVAILABLE=1 env SYCL_CONFIG_FILE_NAME=%t2.conf %t.out
+//
+// RUN: env TEST_DEVICE_IS_NOT_AVAILABLE=1 env SYCL_DEVICE_ALLOWLIST="PlatformName:{{SUCH NAME DOESN'T EXIST}}" %t.out
+// RUN: env TEST_INCORRECT_VALUE=1 env SYCL_DEVICE_ALLOWLIST="IncorrectKey:{{.*}}" %t.out
+
+#include <algorithm>
+#include <cstdlib>
+#include <exception>
+#include <iostream>
+#include <string>
+#include <sycl/sycl.hpp>
+
+static void replaceSpecialCharacters(std::string &Str) {
+  // Replace common special symbols with '.' which matches to any character
+  std::replace_if(
+      Str.begin(), Str.end(),
+      [](const char Sym) { return '(' == Sym || ')' == Sym; }, '.');
+}
+
+int main() {
+
+  // Expected that the allowlist filter is not set
+  if (getenv("PRINT_PLATFORM_INFO")) {
+    for (const sycl::platform &Platform : sycl::platform::get_platforms())
+      if (!Platform.is_host()) {
+
+        std::string Name = Platform.get_info<sycl::info::platform::name>();
+        std::string Ver = Platform.get_info<sycl::info::platform::version>();
+        // As a string will be used as regexp pattern, we need to get rid of
+        // symbols that can be treated in a special way.
+        replaceSpecialCharacters(Name);
+        replaceSpecialCharacters(Ver);
+
+        std::cout << "SYCL_DEVICE_ALLOWLIST=PlatformName:{{" << Name
+                  << "}},PlatformVersion:{{" << Ver << "}}";
+
+        return 0;
+      }
+    throw std::runtime_error("Non host device is not found");
+  }
+
+  // Expected that the allowlist filter is not set
+  if (getenv("PRINT_DEVICE_INFO")) {
+    for (const sycl::platform &Platform : sycl::platform::get_platforms())
+      if (!Platform.is_host()) {
+        const sycl::device Dev = Platform.get_devices().at(0);
+        std::string Name = Dev.get_info<sycl::info::device::name>();
+        std::string Ver = Dev.get_info<sycl::info::device::driver_version>();
+
+        // As a string will be used as regexp pattern, we need to get rid of
+        // symbols that can be treated in a special way.
+        replaceSpecialCharacters(Name);
+        replaceSpecialCharacters(Ver);
+
+        std::cout << "SYCL_DEVICE_ALLOWLIST=DeviceName:{{" << Name
+                  << "}},DriverVersion:{{" << Ver << "}}";
+
+        return 0;
+      }
+    throw std::runtime_error("Non host device is not found");
+  }
+
+  // Expected the allowlist to be set with the "PRINT_DEVICE_INFO" run result
+  if (getenv("TEST_DEVICE_AVAILABLE")) {
+    for (const sycl::platform &Platform : sycl::platform::get_platforms())
+      if (!Platform.is_host()) {
+        if (Platform.get_devices().size() != 1)
+          throw std::runtime_error("Expected only one non host device.");
+
+        return 0;
+      }
+    throw std::runtime_error("Non host device is not found");
+  }
+
+  // Expected the allowlist to be set but empty
+  if (getenv("TEST_DEVICE_IS_NOT_AVAILABLE")) {
+    for (const sycl::platform &Platform : sycl::platform::get_platforms())
+      if (!Platform.is_host())
+        throw std::runtime_error("Expected no non host device is available");
+    return 0;
+  }
+
+  if (getenv("TEST_INCORRECT_VALUE")) {
+    try {
+      sycl::platform::get_platforms();
+    } catch (sycl::runtime_error &E) {
+      // Workaround to make CI pass.
+      // TODO: after the submission of PR intel/llvm:3826, create PR to
+      // intel/llvm-test-suite with removal of 1st parameter of the vector,
+      // and transformation of std::vector<std::string> to std::string
+      const std::vector<std::string> ExpectedMsgs{
+          "Unrecognized key in device allowlist",
+          "Unrecognized key in SYCL_DEVICE_ALLOWLIST"};
+      const std::string GotMessage(E.what());
+      bool CorrectMsg = false;
+      for (const auto &ExpectedMsg : ExpectedMsgs) {
+        if (GotMessage.find(ExpectedMsg) != std::string::npos) {
+          CorrectMsg = true;
+          break;
+        }
+      }
+      return CorrectMsg ? 0 : 1;
+    }
+  }
+
+  throw std::runtime_error("Unhandled situation");
+}
diff --git a/sycl/test-e2e/Config/config.cpp b/sycl/test-e2e/Config/config.cpp
new file mode 100644
index 0000000000000..2ed92a1b4b23d
--- /dev/null
+++ b/sycl/test-e2e/Config/config.cpp
@@ -0,0 +1,24 @@
+//==---- config.cpp --------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// RUN: %clangxx %debug_option -O0 -fsycl %s -o %t.out
+// RUN: echo "SYCL_PRINT_EXECUTION_GRAPH=always" > %t.cfg
+// RUN: env SYCL_CONFIG_FILE_NAME=%t.cfg %t.out
+// RUN: ls | grep dot
+// RUN: rm *.dot
+// RUN: env SYCL_PRINT_EXECUTION_GRAPH=always %t.out
+// RUN: ls | grep dot
+// RUN: rm *.dot
+// RUN: %t.out
+// RUN: ls | not grep dot
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::buffer<int, 1> Buf(sycl::range<1>{1});
+  auto Acc = Buf.get_access<sycl::access::mode::read>();
+}
diff --git a/sycl/test-e2e/Config/device_selector.cpp b/sycl/test-e2e/Config/device_selector.cpp
new file mode 100644
index 0000000000000..dd270f51d7cf1
--- /dev/null
+++ b/sycl/test-e2e/Config/device_selector.cpp
@@ -0,0 +1,28 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %BE_RUN_PLACEHOLDER %t.out
+//
+// Checks that no device is selected when no device of desired type is
+// available.
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class RejectEverything : public sycl::device_selector {
+public:
+  int operator()(const sycl::device &Device) const final {
+    // Negative value means that a device must not be selected
+    return -1;
+  }
+};
+
+int main() {
+  RejectEverything Selector;
+  try {
+    sycl::device Device(Selector);
+  } catch (sycl::runtime_error &E) {
+    return 0;
+  }
+  std::cerr << "Error. A device is found." << std::endl;
+  return 1;
+}
diff --git a/sycl/test-e2e/Config/env_vars.cpp b/sycl/test-e2e/Config/env_vars.cpp
new file mode 100644
index 0000000000000..0c8c0564be5ac
--- /dev/null
+++ b/sycl/test-e2e/Config/env_vars.cpp
@@ -0,0 +1,45 @@
+// REQUIRES: opencl
+// Env vars are used to pass OpenCL-specific flags to PI compiling/linking.
+//
+// RUN: %clangxx -O0 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PROGRAM_COMPILE_OPTIONS="-g" %t.out
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_PROGRAM_COMPILE_OPTIONS="-g" %t.out
+//
+// Now test for invalid options to make sure they are really passed to
+// a device compiler. Intel GPU runtime doesn't give an error for
+// invalid options, so we don't test it here.
+//
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PROGRAM_COMPILE_OPTIONS="-enable-link-options -cl-denorms-are-zero" SHOULD_CRASH=1 %t.out
+
+#include <cassert>
+#include <memory>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  int data = 5;
+  buffer<int, 1> buf(&data, range<1>(1));
+  queue myQueue;
+  if (getenv("SHOULD_CRASH")) {
+    try {
+      myQueue.submit([&](handler &cgh) {
+        auto B = buf.get_access<access::mode::read_write>(cgh);
+        cgh.single_task<class kernel_name1>([=]() { B[0] = 0; });
+      });
+    } catch (sycl::runtime_error &e) {
+      // Exit immediately, otherwise the buffer destructor may actually try to
+      // enqueue the command once again, and throw another exception.
+      exit(0);
+    } catch (sycl::compile_program_error &e) {
+      exit(0);
+    }
+    assert(0 && "Expected exception was *not* thrown");
+  } else {
+    myQueue.submit([&](handler &cgh) {
+      auto B = buf.get_access<access::mode::read_write>(cgh);
+      cgh.single_task<class kernel_name2>([=]() { B[0] = 0; });
+    });
+  }
+}
diff --git a/sycl/test-e2e/Config/kernel_from_file.cpp b/sycl/test-e2e/Config/kernel_from_file.cpp
new file mode 100644
index 0000000000000..6707cdd09f6f6
--- /dev/null
+++ b/sycl/test-e2e/Config/kernel_from_file.cpp
@@ -0,0 +1,55 @@
+// UNSUPPORTED: cuda || hip
+// CUDA and HIP don't support SPIR-V.
+
+// FIXME Disabled fallback assert as it'll require either online linking or
+// explicit offline linking step here
+// FIXME separate compilation requires -fno-sycl-dead-args-optimization
+// As we are doing a separate device compilation here, we need to explicitly
+// add the device lib instrumentation (itt_compiler_wrapper)
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT %cxx_std_optionc++17 -fsycl-device-only -fsycl-use-bitcode -fno-sycl-dead-args-optimization -Xclang -fsycl-int-header=%t.h -c %s -o %t.bc -Xclang -verify-ignore-unexpected=note,warning -Wno-sycl-strict
+// >> ---- unbundle compiler wrapper device object
+// RUN: clang-offload-bundler -type=o -targets=sycl-spir64-unknown-unknown -input=%sycl_static_libs_dir/libsycl-itt-compiler-wrappers%obj_ext -output=%t_compiler_wrappers.bc -unbundle
+// >> ---- link device code
+// RUN: llvm-link -o=%t_app.bc %t.bc %t_compiler_wrappers.bc
+// >> ---- translate to SPIR-V
+// RUN: llvm-spirv -o %t.spv %t_app.bc
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT %cxx_std_optionc++17 %include_option %t.h %s -o %t.out %sycl_options -fno-sycl-dead-args-optimization -Xclang -verify-ignore-unexpected=note,warning
+// RUN: %BE_RUN_PLACEHOLDER env SYCL_USE_KERNEL_SPV=%t.spv %t.out | FileCheck %s
+// CHECK: Passed
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char **argv) {
+  int data = 5;
+
+  try {
+    queue myQueue;
+    buffer<int, 1> buf(&data, range<1>(1));
+
+    event e = myQueue.submit([&](handler &cgh) {
+      auto ptr = buf.get_access<access::mode::read_write>(cgh);
+
+      cgh.single_task<class my_kernel>([=]() { ptr[0]++; });
+    });
+    e.wait_and_throw();
+
+  } catch (sycl::exception const &e) {
+    std::cerr << "SYCL exception caught:\n";
+    std::cerr << e.what() << "\n";
+    return 2;
+  } catch (...) {
+    std::cerr << "unknown exception caught\n";
+    return 1;
+  }
+
+  if (data == 6) {
+    std::cout << "Passed\n";
+    return 0;
+  } else {
+    std::cout << "Failed: " << data << "!= 6(gold)\n";
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/Config/select_device.cpp b/sycl/test-e2e/Config/select_device.cpp
new file mode 100644
index 0000000000000..f62e78f484aa0
--- /dev/null
+++ b/sycl/test-e2e/Config/select_device.cpp
@@ -0,0 +1,965 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+//
+// RUN: env WRITE_DEVICE_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_DEVICE_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_PLATFORM_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_PLATFORM_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_DEVICE_ERROR_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_DEVICE_ERROR_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_PLATFORM_ERROR_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_PLATFORM_ERROR_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_REG_EX_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_REG_EX_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_DEVICE_NAME_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_DEVICE_NAME_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_PLATFORM_NAME_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_PLATFORM_NAME_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_DEVICE_MULTI_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_DEVICE_MULTI_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_DEVICE_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_DEVICE_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_DRIVER_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_DRIVER_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_PLATFORM_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_PLATFORM_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: env WRITE_PLATVER_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env READ_PLATVER_MALFORMED_INFO=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// REQUIRES: gpu
+
+//==------------ select_device.cpp - SYCL_DEVICE_ALLOWLIST test ------------==//
+//
+// This test is unusual because it occurs in two phases.  The first phase
+// will find the GPU platforms, and write them to a file.  The second phase
+// will read the file, set SYCL_DEVICE_ALLOWLIST, and then find the correct
+// platform.  SYCL_DEVICE_ALLOWLIST is only evaluated once, the first time
+// get_platforms() is called.  Setting it later in the application has no
+// effect.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <fstream>
+#include <iostream>
+#include <regex>
+#include <string>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#ifdef _WIN32
+#define setenv(name, value, overwrite) _putenv_s(name, value)
+#endif
+
+struct DevDescT {
+  std::string devName;
+  std::string devDriverVer;
+  std::string platName;
+  std::string platVer;
+};
+
+static void addEscapeSymbolToSpecialCharacters(std::string &str) {
+  std::vector<std::string> specialCharacters{"(", ")", "[", "]", "."};
+  for (const auto &character : specialCharacters) {
+    size_t pos = 0;
+    while ((pos = str.find(character, pos)) != std::string::npos) {
+      std::string modifiedCharacter("\\" + character);
+      str.replace(pos, character.size(), modifiedCharacter);
+      pos += modifiedCharacter.size();
+    }
+  }
+}
+
+static std::vector<DevDescT> getAllowListDesc(std::string allowList) {
+  if (allowList.empty())
+    return {};
+
+  std::string deviceName("DeviceName:");
+  std::string driverVersion("DriverVersion:");
+  std::string platformName("PlatformName:");
+  std::string platformVersion("PlatformVersion:");
+  std::vector<DevDescT> decDescs;
+  decDescs.emplace_back();
+
+  size_t pos = 0;
+  while (pos < allowList.size()) {
+    if ((allowList.compare(pos, deviceName.size(), deviceName)) == 0) {
+      if ((pos = allowList.find("{{", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed device allowlist");
+      }
+      size_t start = pos + 2;
+      if ((pos = allowList.find("}}", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed device allowlist");
+      }
+      decDescs.back().devName = allowList.substr(start, pos - start);
+      pos = pos + 2;
+
+      if (allowList[pos] == ',') {
+        pos++;
+      }
+    }
+
+    else if ((allowList.compare(pos, driverVersion.size(), driverVersion)) ==
+             0) {
+      if ((pos = allowList.find("{{", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed device allowlist");
+      }
+      size_t start = pos + 2;
+      if ((pos = allowList.find("}}", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed device allowlist");
+      }
+      decDescs.back().devDriverVer = allowList.substr(start, pos - start);
+      pos = pos + 3;
+    }
+
+    else if ((allowList.compare(pos, platformName.size(), platformName)) == 0) {
+      if ((pos = allowList.find("{{", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed platform allowlist");
+      }
+      size_t start = pos + 2;
+      if ((pos = allowList.find("}}", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed platform allowlist");
+      }
+      decDescs.back().platName = allowList.substr(start, pos - start);
+      pos = pos + 2;
+      if (allowList[pos] == ',') {
+        pos++;
+      }
+    }
+
+    else if ((allowList.compare(pos, platformVersion.size(),
+                                platformVersion)) == 0) {
+      if ((pos = allowList.find("{{", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed platform allowlist");
+      }
+      size_t start = pos + 2;
+      if ((pos = allowList.find("}}", pos)) == std::string::npos) {
+        throw std::runtime_error("Malformed platform allowlist");
+      }
+      decDescs.back().platVer = allowList.substr(start, pos - start);
+      pos = pos + 2;
+    }
+
+    else if (allowList.find('|', pos) != std::string::npos) {
+      pos = allowList.find('|') + 1;
+      while (allowList[pos] == ' ') {
+        pos++;
+      }
+      decDescs.emplace_back();
+    } else {
+      throw std::runtime_error("Malformed platform allowlist");
+    }
+  } // while (pos <= allowList.size())
+  return decDescs;
+}
+
+int main() {
+  bool passed = false;
+  std::string sycl_be("opencl");
+  if (getenv("ONEAPI_DEVICE_SELECTOR")) {
+    sycl_be = getenv("ONEAPI_DEVICE_SELECTOR");
+  }
+
+  // Test the GPU devices name and version number.
+  if (getenv("WRITE_DEVICE_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (passed) {
+          break;
+        } // no need to write more than one match
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            std::string ver = dev.get_info<info::device::driver_version>();
+            if ((plt.get_backend() == backend::opencl) &&
+                (sycl_be.find("opencl") != std::string::npos)) {
+              fs << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+                 << "}}" << std::endl;
+              passed = true;
+              break;
+            } else if ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                       (sycl_be.find("level_zero") != std::string::npos)) {
+              fs << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+                 << "}}" << std::endl;
+              passed = true;
+              break;
+            } else if ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                       (sycl_be.find("cuda") != std::string::npos)) {
+              fs << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+                 << "}}" << std::endl;
+              passed = true;
+              break;
+            } else if ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                       (sycl_be.find("hip") != std::string::npos)) {
+              fs << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+                 << "}}" << std::endl;
+              passed = true;
+              break;
+            }
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_DEVICE_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        sycl::queue deviceQueue(gpu_selector_v);
+        device dev = deviceQueue.get_device();
+        for (const DevDescT &desc : components) {
+          if ((std::regex_match(dev.get_info<info::device::name>(),
+                                std::regex(desc.devName))) &&
+              (std::regex_match(dev.get_info<info::device::driver_version>(),
+                                std::regex(desc.devDriverVer)))) {
+            passed = true;
+          }
+          std::cout << "Device: " << dev.get_info<info::device::name>()
+                    << std::endl;
+          std::cout << "DriverVersion: "
+                    << dev.get_info<info::device::driver_version>()
+                    << std::endl;
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test the platform name and version number.
+  if (getenv("WRITE_PLATFORM_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (plt.has(aspect::gpu)) {
+          std::string name = plt.get_info<info::platform::name>();
+          addEscapeSymbolToSpecialCharacters(name);
+          std::string ver = plt.get_info<info::platform::version>();
+          if (((plt.get_backend() == backend::opencl) &&
+               (sycl_be.find("opencl") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+               (sycl_be.find("level_zero") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+               (sycl_be.find("cuda") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_hip) &&
+               (sycl_be.find("hip") != std::string::npos))) {
+            fs << "PlatformName:{{" << name << "}},PlatformVersion:{{" << ver
+               << "}}" << std::endl;
+            passed = true;
+            break;
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_PLATFORM_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt", std::fstream::in);
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        sycl::queue deviceQueue(gpu_selector_v);
+        device dev = deviceQueue.get_device();
+        const auto &plt = dev.get_platform();
+        for (const DevDescT &desc : components) {
+          if ((std::regex_match(plt.get_info<info::platform::name>(),
+                                std::regex(desc.platName))) &&
+              (std::regex_match(plt.get_info<info::platform::version>(),
+                                std::regex(desc.platVer)))) {
+            passed = true;
+          }
+        }
+        std::cout << "Platform: " << plt.get_info<info::platform::name>()
+                  << std::endl;
+        std::cout << "Platform Version: "
+                  << plt.get_info<info::platform::version>() << std::endl;
+      }
+      fs.close();
+    }
+  }
+
+  // Test error handling.
+  if (getenv("WRITE_DEVICE_ERROR_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (passed) {
+          break;
+        } // no need for additional entries
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            std::string ver("98.76.54321");
+            if (((plt.get_backend() == backend::opencl) &&
+                 (sycl_be.find("opencl") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                 (sycl_be.find("level_zero") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                 (sycl_be.find("cuda") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                 (sycl_be.find("hip") != std::string::npos))) {
+              fs << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+                 << "}}" << std::endl;
+              passed = true;
+              break;
+            }
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_DEVICE_ERROR_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        try {
+          sycl::queue deviceQueue(gpu_selector_v);
+          device dev = deviceQueue.get_device();
+          const auto &plt = dev.get_platform();
+        } catch (sycl::exception &E) {
+          const std::string expectedMsg(
+              "No device of requested type 'info::device_type::gpu' available");
+          const std::string gotMessage(E.what());
+          if (gotMessage.find(expectedMsg) != std::string::npos) {
+            passed = true;
+          } else {
+            passed = false;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test error condition when version number is not found.
+  if (getenv("WRITE_PLATFORM_ERROR_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (plt.has(aspect::gpu)) {
+          std::string name = plt.get_info<info::platform::name>();
+          addEscapeSymbolToSpecialCharacters(name);
+          if ((plt.get_backend() == backend::opencl) &&
+              (sycl_be.find("opencl") != std::string::npos)) {
+            std::string ver("OpenCL 12.34");
+            fs << "PlatformName:{{" << name << "}},PlatformVersion:{{" << ver
+               << "}}" << std::endl;
+            passed = true;
+            break;
+          } else if ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                     (sycl_be.find("level_zero") != std::string::npos)) {
+            std::string ver("12.34");
+            fs << "PlatformName:{{" << name << "}},PlatformVersion:{{" << ver
+               << "}}" << std::endl;
+            passed = true;
+            break;
+          } else if ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                     (sycl_be.find("cuda") != std::string::npos)) {
+            std::string ver("CUDA 89.78");
+            fs << "PlatformName:{{" << name << "}},PlatformVersion:{{" << ver
+               << "}}" << std::endl;
+            passed = true;
+            break;
+          } else if ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                     (sycl_be.find("hip") != std::string::npos)) {
+            std::string ver("67.88.9");
+            fs << "PlatformName:{{" << name << "}},PlatformVersion:{{" << ver
+               << "}}" << std::endl;
+            passed = true;
+            break;
+          }
+        }
+      }
+    }
+    fs.close();
+  } else if (getenv("READ_PLATFORM_ERROR_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt", std::fstream::in);
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        try {
+          sycl::queue deviceQueue(gpu_selector_v);
+          device dev = deviceQueue.get_device();
+          const auto &plt = dev.get_platform();
+        } catch (sycl::exception &E) {
+          const std::string expectedMsg(
+              "No device of requested type 'info::device_type::gpu' available");
+          const std::string gotMessage(E.what());
+          if (gotMessage.find(expectedMsg) != std::string::npos) {
+            passed = true;
+          } else {
+            passed = false;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test handling a regular expression in the device driver version number.
+  if (getenv("WRITE_REG_EX_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (passed) {
+          break;
+        } // no need for additional entries
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            std::string ver = dev.get_info<info::device::driver_version>();
+            size_t pos = 0;
+            if (((plt.get_backend() == backend::opencl) &&
+                 (sycl_be.find("opencl") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                 (sycl_be.find("level_zero") != std::string::npos))) {
+              if ((pos = ver.find(".")) == std::string::npos) {
+                throw std::runtime_error("Malformed syntax in version string");
+              }
+              pos++;
+              size_t start = pos;
+              if ((pos = ver.find(".", pos)) == std::string::npos) {
+                throw std::runtime_error("Malformed syntax in version string");
+              }
+              ver.replace(start, pos - start, "*");
+            } else if (((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                        (sycl_be.find("cuda") != std::string::npos)) ||
+                       ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                        (sycl_be.find("hip") != std::string::npos))) {
+              if ((pos = ver.find(".")) == std::string::npos) {
+                throw std::runtime_error("Malformed syntax in version string");
+              }
+              pos++;
+              ver.replace(pos, ver.length(), "*");
+            }
+
+            fs << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+               << "}}" << std::endl;
+            passed = true;
+            break;
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_REG_EX_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        sycl::queue deviceQueue(gpu_selector_v);
+        device dev = deviceQueue.get_device();
+        for (const DevDescT &desc : components) {
+          if ((std::regex_match(dev.get_info<info::device::name>(),
+                                std::regex(desc.devName))) &&
+              (std::regex_match(dev.get_info<info::device::driver_version>(),
+                                std::regex(desc.devDriverVer)))) {
+            passed = true;
+          }
+          std::cout << "Device: " << dev.get_info<info::device::name>()
+                    << std::endl;
+          std::cout << "DriverVersion: "
+                    << dev.get_info<info::device::driver_version>()
+                    << std::endl;
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test providing only the device name.
+  if (getenv("WRITE_DEVICE_NAME_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (passed) {
+          break;
+        } // no need for additional entries
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            if (((plt.get_backend() == backend::opencl) &&
+                 (sycl_be.find("opencl") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                 (sycl_be.find("level_zero") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                 (sycl_be.find("cuda") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                 (sycl_be.find("hip") != std::string::npos))) {
+              fs << "DeviceName:{{" << name << "}}" << std::endl;
+              passed = true;
+              break;
+            }
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_DEVICE_NAME_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        sycl::queue deviceQueue(gpu_selector_v);
+        device dev = deviceQueue.get_device();
+        for (const DevDescT &desc : components) {
+          if (std::regex_match(dev.get_info<info::device::name>(),
+                               std::regex(desc.devName))) {
+            passed = true;
+          }
+          std::cout << "Device: " << dev.get_info<info::device::name>()
+                    << std::endl;
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test providing the platform name only.
+  if (getenv("WRITE_PLATFORM_NAME_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (plt.has(aspect::gpu)) {
+          std::string name = plt.get_info<info::platform::name>();
+          addEscapeSymbolToSpecialCharacters(name);
+          if (((plt.get_backend() == backend::opencl) &&
+               (sycl_be.find("opencl") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+               (sycl_be.find("level_zero") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+               (sycl_be.find("cuda") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_hip) &&
+               (sycl_be.find("hip") != std::string::npos))) {
+            fs << "PlatformName:{{" << name << "}}" << std::endl;
+            passed = true;
+            break;
+          }
+        }
+      }
+    }
+    fs.close();
+  } else if (getenv("READ_PLATFORM_NAME_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt", std::fstream::in);
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        sycl::queue deviceQueue(gpu_selector_v);
+        device dev = deviceQueue.get_device();
+        const auto &plt = dev.get_platform();
+        for (const DevDescT &desc : components) {
+          if (std::regex_match(plt.get_info<info::platform::name>(),
+                               std::regex(desc.platName))) {
+            passed = true;
+          }
+          std::cout << "Platform: " << plt.get_info<info::platform::name>()
+                    << std::endl;
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test the GPU multiple devices option.
+  if (getenv("WRITE_DEVICE_MULTI_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::stringstream ss;
+      int count = 0;
+      for (const auto &plt : platform::get_platforms()) {
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            std::string ver = dev.get_info<info::device::driver_version>();
+            if (((plt.get_backend() == backend::opencl) &&
+                 (sycl_be.find("opencl") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                 (sycl_be.find("level_zero") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                 (sycl_be.find("cuda") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                 (sycl_be.find("hip") != std::string::npos))) {
+              if (count > 0) {
+                ss << " | ";
+              }
+              ss << "DeviceName:{{" << name << "}},DriverVersion:{{" << ver
+                 << "}}";
+              count++;
+              passed = true;
+              break;
+            }
+          }
+        }
+      }
+      fs << ss.str() << std::endl;
+      fs.close();
+    }
+  } else if (getenv("READ_DEVICE_MULTI_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        sycl::queue deviceQueue(gpu_selector_v);
+        device dev = deviceQueue.get_device();
+        for (const DevDescT &desc : components) {
+          if ((std::regex_match(dev.get_info<info::device::name>(),
+                                std::regex(desc.devName))) &&
+              (std::regex_match(dev.get_info<info::device::driver_version>(),
+                                std::regex(desc.devDriverVer)))) {
+            passed = true;
+            std::cout << "Device: " << dev.get_info<info::device::name>()
+                      << std::endl;
+            std::cout << "DriverVersion: "
+                      << dev.get_info<info::device::driver_version>()
+                      << std::endl;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test providing malformed syntax in the device name.
+  if (getenv("WRITE_DEVICE_MALFORMED_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            if (((plt.get_backend() == backend::opencl) &&
+                 (sycl_be.find("opencl") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                 (sycl_be.find("level_zero") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                 (sycl_be.find("cuda") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                 (sycl_be.find("hip") != std::string::npos))) {
+              fs << "DeviceName:HAHA{{" << name << "}}" << std::endl;
+              passed = true;
+              break;
+            }
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_DEVICE_MALFORMED_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        try {
+          sycl::queue deviceQueue(gpu_selector_v);
+          device dev = deviceQueue.get_device();
+          const auto &plt = dev.get_platform();
+        } catch (sycl::exception &E) {
+          // Workaround to make CI pass.
+          // TODO: after the submission of PR intel/llvm:3826, create PR to
+          // intel/llvm-test-suite with removal of 1st parameter of the vector,
+          // and transformation of std::vector<std::string> to std::string
+          const std::vector<std::string> expectedMsgs{
+              "Malformed syntax in SYCL_DEVICE_ALLOWLIST",
+              "Key DeviceName of SYCL_DEVICE_ALLOWLIST should have value which "
+              "starts with {{"};
+          const std::string gotMessage(E.what());
+          for (const auto &expectedMsg : expectedMsgs) {
+            if (gotMessage.find(expectedMsg) != std::string::npos) {
+              passed = true;
+              break;
+            }
+            passed = false;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test providing the platform name only.
+  if (getenv("WRITE_PLATFORM_MALFORMED_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (plt.has(aspect::gpu)) {
+          std::string name = plt.get_info<info::platform::name>();
+          addEscapeSymbolToSpecialCharacters(name);
+          if (((plt.get_backend() == backend::opencl) &&
+               (sycl_be.find("opencl") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+               (sycl_be.find("level_zero") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+               (sycl_be.find("cuda") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_hip) &&
+               (sycl_be.find("hip") != std::string::npos))) {
+            fs << "PlatformName:HAHA{{" << name << "}}" << std::endl;
+            passed = true;
+            break;
+          }
+        }
+      }
+    }
+    fs.close();
+  } else if (getenv("READ_PLATFORM_MALFORMED_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt", std::fstream::in);
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        try {
+          sycl::queue deviceQueue(gpu_selector_v);
+          device dev = deviceQueue.get_device();
+          const auto &plt = dev.get_platform();
+        } catch (sycl::exception &E) {
+          // Workaround to make CI pass.
+          // TODO: after the submission of PR intel/llvm:3826, create PR to
+          // intel/llvm-test-suite with removal of 1st parameter of the vector,
+          // and transformation of std::vector<std::string> to std::string
+          const std::vector<std::string> expectedMsgs{
+              "Malformed syntax in SYCL_DEVICE_ALLOWLIST",
+              "Key PlatformName of SYCL_DEVICE_ALLOWLIST should have value "
+              "which starts with {{"};
+          const std::string gotMessage(E.what());
+          for (const auto &expectedMsg : expectedMsgs) {
+            if (gotMessage.find(expectedMsg) != std::string::npos) {
+              passed = true;
+              break;
+            }
+            passed = false;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test a malformed device version number.
+  if (getenv("WRITE_DRIVER_MALFORMED_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        for (const auto &dev : plt.get_devices()) {
+          if (dev.has(aspect::gpu)) {
+            std::string name = dev.get_info<info::device::name>();
+            addEscapeSymbolToSpecialCharacters(name);
+            std::string ver = dev.get_info<info::device::driver_version>();
+            if (((plt.get_backend() == backend::opencl) &&
+                 (sycl_be.find("opencl") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+                 (sycl_be.find("level_zero") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+                 (sycl_be.find("cuda") != std::string::npos)) ||
+                ((plt.get_backend() == backend::ext_oneapi_hip) &&
+                 (sycl_be.find("hip") != std::string::npos))) {
+              fs << "DeviceName:{{" << name << "}},DriverVersion:HAHA{{" << ver
+                 << "}}" << std::endl;
+              passed = true;
+              break;
+            }
+          }
+        }
+      }
+      fs.close();
+    }
+  } else if (getenv("READ_DRIVER_MALFORMED_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        try {
+          sycl::queue deviceQueue(gpu_selector_v);
+          device dev = deviceQueue.get_device();
+          const auto &plt = dev.get_platform();
+        } catch (sycl::exception &E) {
+          // Workaround to make CI pass.
+          // TODO: after the submission of PR intel/llvm:3826, create PR to
+          // intel/llvm-test-suite with removal of 1st parameter of the vector,
+          // and transformation of std::vector<std::string> to std::string
+          const std::vector<std::string> expectedMsgs{
+              "Malformed syntax in SYCL_DEVICE_ALLOWLIST",
+              "Key DriverVersion of SYCL_DEVICE_ALLOWLIST should have value "
+              "which starts with {{"};
+          const std::string gotMessage(E.what());
+          for (const auto &expectedMsg : expectedMsgs) {
+            if (gotMessage.find(expectedMsg) != std::string::npos) {
+              passed = true;
+              break;
+            }
+            passed = false;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  // Test the platform name and version number.
+  if (getenv("WRITE_PLATVER_MALFORMED_INFO")) {
+    std::ofstream fs;
+    fs.open("select_device_config.txt");
+    if (fs.is_open()) {
+      for (const auto &plt : platform::get_platforms()) {
+        if (plt.has(aspect::gpu)) {
+          std::string name = plt.get_info<info::platform::name>();
+          addEscapeSymbolToSpecialCharacters(name);
+          std::string ver = plt.get_info<info::platform::version>();
+          if (((plt.get_backend() == backend::opencl) &&
+               (sycl_be.find("opencl") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_level_zero) &&
+               (sycl_be.find("level_zero") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_cuda) &&
+               (sycl_be.find("cuda") != std::string::npos)) ||
+              ((plt.get_backend() == backend::ext_oneapi_hip) &&
+               (sycl_be.find("hip") != std::string::npos))) {
+            fs << "PlatformName:{{" << name << "}},PlatformVersion:HAHA{{"
+               << ver << "}}" << std::endl;
+            passed = true;
+            break;
+          }
+        }
+      }
+    }
+    fs.close();
+  } else if (getenv("READ_PLATVER_MALFORMED_INFO")) {
+    std::ifstream fs;
+    fs.open("select_device_config.txt", std::fstream::in);
+    if (fs.is_open()) {
+      std::string allowlist;
+      std::getline(fs, allowlist);
+      if (!allowlist.empty()) {
+        setenv("SYCL_DEVICE_ALLOWLIST", allowlist.c_str(), 0);
+        std::vector<DevDescT> components(getAllowListDesc(allowlist));
+        std::cout << "SYCL_DEVICE_ALLOWLIST=" << allowlist << std::endl;
+
+        try {
+          sycl::queue deviceQueue(gpu_selector_v);
+          device dev = deviceQueue.get_device();
+          const auto &plt = dev.get_platform();
+        } catch (sycl::exception &E) {
+          // Workaround to make CI pass.
+          // TODO: after the submission of PR intel/llvm:3826, create PR to
+          // intel/llvm-test-suite with removal of 1st parameter of the vector,
+          // and transformation of std::vector<std::string> to std::string
+          const std::vector<std::string> expectedMsgs{
+              "Malformed syntax in SYCL_DEVICE_ALLOWLIST",
+              "Key PlatformVersion of SYCL_DEVICE_ALLOWLIST should have value "
+              "which starts with {{"};
+          const std::string gotMessage(E.what());
+          for (const auto &expectedMsg : expectedMsgs) {
+            if (gotMessage.find(expectedMsg) != std::string::npos) {
+              passed = true;
+              break;
+            }
+            passed = false;
+          }
+        }
+      }
+      fs.close();
+    }
+  }
+
+  if (passed) {
+    std::cout << "Passed." << std::endl;
+    return 0;
+  } else {
+    std::cout << "Failed." << std::endl;
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/deprecated.cpp b/sycl/test-e2e/DeprecatedFeatures/deprecated.cpp
new file mode 100644
index 0000000000000..5bb41824a1b7d
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/deprecated.cpp
@@ -0,0 +1,26 @@
+// RUN: %clangxx -D__SYCL_INTERNAL_API -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------------- deprecated.cpp - SYCL 2020 deprecation test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  device Device{default_selector_v};
+  platform Platform{default_selector_v};
+
+  bool b = Device.has_extension("cl_intel_subgroups");
+  b = Platform.has_extension("some_extension");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/deprecated_intel_ext_device.cpp b/sycl/test-e2e/DeprecatedFeatures/deprecated_intel_ext_device.cpp
new file mode 100644
index 0000000000000..c7b412fb39338
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/deprecated_intel_ext_device.cpp
@@ -0,0 +1,119 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=level_zero:gpu %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:gpu %t.out
+//
+// REQUIRES: gpu
+// UNSUPPORTED: hip
+// Temporarily disable on L0 due to fails in CI
+// UNSUPPORTED: level_zero
+
+//==--------- intel-ext-device.cpp - SYCL device test ------------==//
+//
+// Returns the low-level device details.  These are Intel-specific extensions
+// that are only supported on Level Zero.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+
+using namespace sycl;
+
+#ifdef _WIN32
+#define setenv(name, value, overwrite) _putenv_s(name, value)
+#endif
+
+int main(int argc, char **argv) {
+  // Must be enabled at the beginning of the application
+  // to obtain the PCI address
+  setenv("SYCL_ENABLE_PCI", "1", 0);
+
+  int pltCount = 1;
+  for (const auto &plt : platform::get_platforms()) {
+    int devCount = 1;
+    int totalEUs = 0;
+    int numSlices = 0;
+    int numSubslices = 0;
+    int numEUsPerSubslice = 0;
+    int numHWThreadsPerEU = 0;
+    for (const auto &dev : plt.get_devices()) {
+      std::cout << "Platform #" << pltCount++ << ":" << std::endl;
+      if (dev.has(aspect::gpu)) {
+        auto name = dev.get_info<info::device::name>();
+        std::cout << "Device #" << devCount++ << ": "
+                  << dev.get_info<info::device::name>() << ":" << std::endl;
+
+        std::cout << "Backend: ";
+        if (plt.get_backend() == backend::ext_oneapi_level_zero) {
+          std::cout << "Level Zero" << std::endl;
+        } else if (plt.get_backend() == backend::opencl) {
+          std::cout << "OpenCL" << std::endl;
+        } else if (plt.get_backend() == backend::ext_oneapi_cuda) {
+          std::cout << "CUDA" << std::endl;
+        } else {
+          std::cout << "Unknown" << std::endl;
+        }
+
+        // Use Feature Test macro to see if extensions are supported.
+        if (SYCL_EXT_INTEL_DEVICE_INFO >= 1) {
+
+          if (dev.has(aspect::ext_intel_pci_address)) {
+            std::cout << "PCI address = "
+                      << dev.get_info<info::device::ext_intel_pci_address>()
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_eu_count)) {
+            totalEUs = dev.get_info<info::device::ext_intel_gpu_eu_count>();
+            std::cout << "Number of EUs = " << totalEUs << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_eu_simd_width)) {
+            int w = dev.get_info<info::device::ext_intel_gpu_eu_simd_width>();
+            std::cout << "EU SIMD width = " << w << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_slices)) {
+            numSlices = dev.get_info<info::device::ext_intel_gpu_slices>();
+            std::cout << "Number of slices = " << numSlices << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_subslices_per_slice)) {
+            numSubslices =
+                dev.get_info<info::device::ext_intel_gpu_subslices_per_slice>();
+            std::cout << "Number of subslices per slice = " << numSubslices
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_eu_count_per_subslice)) {
+            numEUsPerSubslice = dev.get_info<
+                info::device::ext_intel_gpu_eu_count_per_subslice>();
+            std::cout << "Number of EUs per subslice = " << numEUsPerSubslice
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_gpu_hw_threads_per_eu)) {
+            numHWThreadsPerEU =
+                dev.get_info<info::device::ext_intel_gpu_hw_threads_per_eu>();
+            std::cout << "Number of HW threads per EU = " << numHWThreadsPerEU
+                      << std::endl;
+          }
+          if (dev.has(aspect::ext_intel_max_mem_bandwidth)) {
+            // not supported yet
+            long m = dev.get_info<info::device::ext_intel_max_mem_bandwidth>();
+            std::cout << "Maximum memory bandwidth = " << m << std::endl;
+          }
+          // This is the only data we can verify.
+          if (totalEUs != numSlices * numSubslices * numEUsPerSubslice) {
+            std::cout << "Error: EU Count is incorrect!" << std::endl;
+            std::cout << "Failed!" << std::endl;
+            return 1;
+          }
+        } // SYCL_EXT_INTEL_DEVICE_INFO
+      }
+      std::cout << std::endl;
+    }
+  }
+  std::cout << "Passed!" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/deprecated_sycl_device_filter.cpp b/sycl/test-e2e/DeprecatedFeatures/deprecated_sycl_device_filter.cpp
new file mode 100644
index 0000000000000..a0ac83631153d
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/deprecated_sycl_device_filter.cpp
@@ -0,0 +1,29 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_DEVICE_FILTER='*' %t.out &> %t.log
+// RUN: FileCheck %s < %t.log
+//
+// CHECK:      WARNING: The enviroment variable SYCL_DEVICE_FILTER is deprecated.
+// CHECK-SAME: Please use ONEAPI_DEVICE_SELECTOR instead.
+// CHECK-NEXT: For more details, please refer to:
+// CHECK-NEXT: https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md#oneapi_device_selector
+
+//==---- deprecated_sycl_device_filter.cpp - SYCL 2020 deprecation test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===-----------------------------------------------------------------------------------------===//
+
+// This test is to check if a warning message is displayed when using the
+// enviroment variable SYCL_DEVICE_FILTER
+// TODO: Remove test when SYCL_DEVICE_FILTER is removed
+#include <sycl/sycl.hpp>
+
+int main() {
+  using namespace sycl;
+  platform p{};
+  auto devices = p.get_devices();
+  std::cout << "Passed test\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/device_platform_interop.cpp b/sycl/test-e2e/DeprecatedFeatures/device_platform_interop.cpp
new file mode 100644
index 0000000000000..8938af2d282ce
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/device_platform_interop.cpp
@@ -0,0 +1,45 @@
+// REQUIRES: opencl
+
+// RUN: %clangxx -fsycl -D__SYCL_INTERNAL_API %s -o %t.run
+// RUN: %GPU_RUN_PLACEHOLDER %t.run
+// RUN: %CPU_RUN_PLACEHOLDER %t.run
+// RUN: %ACC_RUN_PLACEHOLDER %t.run
+
+//==------------------- device_platform_interop.cpp ------------------------==//
+// The test for SYCL device and platform interop constructors
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <memory>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+#include <unordered_map>
+using namespace sycl;
+
+int main() {
+
+  device D1(default_selector_v);
+  cl_device_id cl_device;
+  {
+    device D2(default_selector_v);
+    cl_device = get_native<backend::opencl>(D2);
+  }
+  device D3(cl_device);
+  assert(D1 == D3 && "Device impls are different");
+
+  platform P1(default_selector_v);
+  cl_platform_id cl_platform;
+  {
+    platform P2(default_selector_v);
+    cl_platform = get_native<backend::opencl>(P2);
+  }
+  platform P3(cl_platform);
+  assert(P1 == P3 && "Platform impls are different");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/kernel_interop.cpp b/sycl/test-e2e/DeprecatedFeatures/kernel_interop.cpp
new file mode 100644
index 0000000000000..0da7668ac18d6
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/kernel_interop.cpp
@@ -0,0 +1,67 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_INTERNAL_API %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- kernel_interop.cpp - SYCL kernel ocl interop test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+// This test checks that SYCL kernel interoperabitily constructor is implemented
+// in accordance with SYCL spec:
+// - It throws an exception when passed SYCL context doesn't represent the same
+//   underlying OpenCL context associated with passed cl_kernel
+// - It retains passed cl_kernel so releasing kernel won't produce errors.
+
+int main() {
+  queue Queue;
+  context Context = Queue.get_context();
+
+  cl_context ClContext = Context.get();
+
+  const size_t CountSources = 1;
+  const char *Sources[CountSources] = {
+      "kernel void foo1(global float* Array, global int* Value) { *Array = "
+      "42; *Value = 1; }\n",
+  };
+
+  cl_int Err;
+  cl_program ClProgram = clCreateProgramWithSource(ClContext, CountSources,
+                                                   Sources, nullptr, &Err);
+  assert(Err == CL_SUCCESS);
+
+  Err = clBuildProgram(ClProgram, 0, nullptr, nullptr, nullptr, nullptr);
+  assert(Err == CL_SUCCESS);
+
+  cl_kernel ClKernel = clCreateKernel(ClProgram, "foo1", &Err);
+  assert(Err == CL_SUCCESS);
+
+  // Try to create kernel with another context
+  bool Pass = false;
+  context OtherContext{Context.get_devices()[0]};
+  try {
+    kernel Kernel(ClKernel, OtherContext);
+  } catch (sycl::invalid_parameter_error e) {
+    Pass = true;
+  }
+  assert(Pass);
+
+  kernel Kernel(ClKernel, Context);
+
+  assert(clReleaseKernel(ClKernel) == CL_SUCCESS);
+  assert(clReleaseContext(ClContext) == CL_SUCCESS);
+  assert(clReleaseProgram(ClProgram) == CL_SUCCESS);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/opencl_interop.cpp b/sycl/test-e2e/DeprecatedFeatures/opencl_interop.cpp
new file mode 100644
index 0000000000000..2078e0d90177a
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/opencl_interop.cpp
@@ -0,0 +1,81 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_INTERNAL_API %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cassert>
+#include <exception>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+#define CL_CHECK_ERRORS(ERR)                                                   \
+  if (ERR != CL_SUCCESS) {                                                     \
+    throw std::runtime_error("Error in OpenCL object creation.");              \
+  }
+
+cl_platform_id selectOpenCLPlatform() {
+  cl_int err = 0;
+  cl_uint num_of_platforms = 0;
+
+  err = clGetPlatformIDs(0, NULL, &num_of_platforms);
+  CL_CHECK_ERRORS(err);
+
+  std::vector<cl_platform_id> platforms(num_of_platforms);
+
+  err = clGetPlatformIDs(num_of_platforms, &platforms[0], 0);
+  CL_CHECK_ERRORS(err);
+
+  return platforms[0];
+}
+
+cl_device_id selectOpenCLDevice(cl_platform_id platform) {
+  cl_int err = 0;
+  cl_uint num_of_devices = 0;
+
+  err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, 0, 0, &num_of_devices);
+  CL_CHECK_ERRORS(err);
+
+  std::vector<cl_device_id> devices(num_of_devices);
+
+  err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, num_of_devices,
+                       &devices[0], 0);
+  CL_CHECK_ERRORS(err);
+
+  return devices[0];
+}
+
+cl_context createOpenCLContext(cl_platform_id platform, cl_device_id device) {
+  cl_int err = 0;
+  cl_context context;
+  std::vector<cl_context_properties> context_props(3);
+
+  context_props[0] = CL_CONTEXT_PLATFORM;
+  context_props[1] = cl_context_properties(platform);
+  context_props.back() = 0;
+
+  context = clCreateContext(&context_props[0], 1, &device, 0, 0, &err);
+  CL_CHECK_ERRORS(err);
+
+  return context;
+}
+
+int main() {
+  cl_platform_id ocl_platform = selectOpenCLPlatform();
+  sycl::platform syclPlt(ocl_platform);
+  assert(ocl_platform == syclPlt.get() &&
+         "SYCL returns invalid OpenCL platform id");
+
+  cl_device_id ocl_device = selectOpenCLDevice(ocl_platform);
+  sycl::device syclDev(ocl_device);
+  assert(ocl_device == syclDev.get() &&
+         "SYCL returns invalid OpenCL device id");
+
+  cl_context ocl_context = createOpenCLContext(ocl_platform, ocl_device);
+  sycl::context syclContext(ocl_context);
+  assert(ocl_context == syclContext.get() &&
+         "SYCL returns invalid OpenCL context id");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/platform.cpp b/sycl/test-e2e/DeprecatedFeatures/platform.cpp
new file mode 100644
index 0000000000000..5335c66118d64
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/platform.cpp
@@ -0,0 +1,70 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_INTERNAL_API %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='%sycl_be:*' %t.out
+//==--------------- platform.cpp - SYCL platform test ----------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <typeinfo>
+
+using namespace sycl;
+
+int main() {
+  int i = 1;
+  std::vector<platform> openclPlatforms;
+  for (const auto &plt : platform::get_platforms()) {
+    std::cout << "Platform " << i++ << " is available: OpenCL: " << std::hex
+              << ((plt.get_backend() != sycl::backend::opencl) ? nullptr
+                                                               : plt.get())
+              << std::endl;
+  }
+
+  auto platforms = platform::get_platforms();
+  platform &platformA = platforms[0];
+  platform &platformB = (platforms.size() > 1 ? platforms[1] : platforms[0]);
+  {
+    std::cout << "move constructor" << std::endl;
+    platform Platform(platformA);
+    size_t hash = std::hash<platform>()(Platform);
+    platform MovedPlatform(std::move(Platform));
+    assert(hash == std::hash<platform>()(MovedPlatform));
+    if (platformA.get_backend() == sycl::backend::opencl) {
+      assert(MovedPlatform.get() != nullptr);
+    }
+  }
+  {
+    std::cout << "move assignment operator" << std::endl;
+    platform Platform(platformA);
+    size_t hash = std::hash<platform>()(Platform);
+    platform WillMovedPlatform(platformB);
+    WillMovedPlatform = std::move(Platform);
+    assert(hash == std::hash<platform>()(WillMovedPlatform));
+    if (platformA.get_backend() == sycl::backend::opencl) {
+      assert(WillMovedPlatform.get() != nullptr);
+    }
+  }
+  {
+    std::cout << "copy constructor" << std::endl;
+    platform Platform(platformA);
+    size_t hash = std::hash<platform>()(Platform);
+    platform PlatformCopy(Platform);
+    assert(hash == std::hash<platform>()(Platform));
+    assert(hash == std::hash<platform>()(PlatformCopy));
+    assert(Platform == PlatformCopy);
+  }
+  {
+    std::cout << "copy assignment operator" << std::endl;
+    platform Platform(platformA);
+    size_t hash = std::hash<platform>()(Platform);
+    platform WillPlatformCopy(platformB);
+    WillPlatformCopy = Platform;
+    assert(hash == std::hash<platform>()(Platform));
+    assert(hash == std::hash<platform>()(WillPlatformCopy));
+    assert(Platform == WillPlatformCopy);
+  }
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/queue_old_interop.cpp b/sycl/test-e2e/DeprecatedFeatures/queue_old_interop.cpp
new file mode 100644
index 0000000000000..e6f0e234ec3cb
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/queue_old_interop.cpp
@@ -0,0 +1,125 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_INTERNAL_API %s -o %t.out
+// RUN: %BE_RUN_PLACEHOLDER %t.out
+//
+// hip_nvidia has problems constructing queues due to `No device of requested
+// type available`.
+// XFAIL: hip_nvidia
+//==-------- queue_old_interop.cpp - SYCL queue OpenCL interop test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+std::string get_type(const device &dev) {
+  return dev.is_gpu() ? "OpenCL.GPU" : "OpenCL.CPU";
+}
+
+void print_queue_info(const queue &q) {
+  std::cout << "ID=" << std::hex
+            << ((q.get_context().get_platform().get_backend() !=
+                 sycl::backend::opencl)
+                    ? nullptr
+                    : q.get())
+            << std::endl;
+  std::cout << "queue wraps " << get_type(q.get_device()) << " device"
+            << std::endl;
+}
+int main() {
+  try {
+    std::cout << "Create default queue." << std::endl;
+    queue q;
+    print_queue_info(q);
+
+  } catch (device_error e) {
+    std::cout << "Failed to create device for context" << std::endl;
+  }
+
+  auto devices = device::get_devices();
+  device &deviceA = devices[0];
+  device &deviceB = (devices.size() > 1 ? devices[1] : devices[0]);
+  {
+    std::cout << "move constructor" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue MovedQueue(std::move(Queue));
+    assert(hash == std::hash<queue>()(MovedQueue));
+    if (deviceA.get_platform().get_backend() == sycl::backend::opencl) {
+      assert(MovedQueue.get() != nullptr);
+    }
+  }
+  {
+    std::cout << "move assignment operator" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue WillMovedQueue(deviceB);
+    WillMovedQueue = std::move(Queue);
+    assert(hash == std::hash<queue>()(WillMovedQueue));
+    if (deviceA.get_platform().get_backend() == sycl::backend::opencl) {
+      assert(WillMovedQueue.get() != nullptr);
+    }
+  }
+  {
+    std::cout << "copy constructor" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue QueueCopy(Queue);
+    assert(hash == std::hash<queue>()(Queue));
+    assert(hash == std::hash<queue>()(QueueCopy));
+    assert(Queue == QueueCopy);
+  }
+  {
+    std::cout << "copy assignment operator" << std::endl;
+    queue Queue(deviceA);
+    size_t hash = std::hash<queue>()(Queue);
+    queue WillQueueCopy(deviceB);
+    WillQueueCopy = Queue;
+    assert(hash == std::hash<queue>()(Queue));
+    assert(hash == std::hash<queue>()(WillQueueCopy));
+    assert(Queue == WillQueueCopy);
+  }
+
+  {
+    property_list pl = {};
+    queue Queue(pl);
+    try {
+      Queue.throw_asynchronous();
+    } catch (const std::bad_function_call &e) {
+      std::cout << "Default asynchronous handler call failed: " << e.what()
+                << std::endl;
+      throw;
+    }
+  }
+
+  {
+    default_selector Selector;
+    device Device = Selector.select_device();
+    context Context(Device);
+    queue Queue(Context, Selector);
+    assert(Context == Queue.get_context());
+  }
+
+  {
+    context Context(deviceA);
+    queue Queue(Context, deviceA);
+    assert(Context == Queue.get_context());
+  }
+
+  if (devices.size() > 1) {
+    bool GotException = false;
+    try {
+      context Context(deviceA);
+      queue Queue(Context, deviceB);
+      assert(Context == Queue.get_context());
+    } catch (std::exception &e) {
+      std::cout << "Exception check passed: " << e.what() << std::endl;
+      GotException = true;
+    }
+    assert(GotException);
+  }
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/sampler_ocl.cpp b/sycl/test-e2e/DeprecatedFeatures/sampler_ocl.cpp
new file mode 100644
index 0000000000000..6be287dab89ff
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/sampler_ocl.cpp
@@ -0,0 +1,58 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -D__SYCL_INTERNAL_API -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- sampler.cpp - SYCL sampler basic test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cassert>
+#include <sycl/context.hpp>
+#include <sycl/sycl.hpp>
+
+namespace sycl {
+using namespace sycl;
+}
+
+int main() {
+  sycl::queue Queue;
+  sycl::sampler B(sycl::coordinate_normalization_mode::unnormalized,
+                  sycl::addressing_mode::clamp, sycl::filtering_mode::nearest);
+
+  // OpenCL sampler
+  cl_int Err = CL_SUCCESS;
+#ifdef CL_VERSION_2_0
+  const cl_sampler_properties sprops[] = {
+      CL_SAMPLER_NORMALIZED_COORDS,
+      static_cast<cl_sampler_properties>(true),
+      CL_SAMPLER_ADDRESSING_MODE,
+      static_cast<cl_sampler_properties>(CL_ADDRESS_REPEAT),
+      CL_SAMPLER_FILTER_MODE,
+      static_cast<cl_sampler_properties>(CL_FILTER_LINEAR),
+      0};
+  cl_sampler ClSampler =
+      clCreateSamplerWithProperties(Queue.get_context().get(), sprops, &Err);
+#else
+  cl_sampler ClSampler =
+      clCreateSampler(Queue.get_context().get(), true, CL_ADDRESS_REPEAT,
+                      CL_FILTER_LINEAR, &Err);
+#endif
+  // If device doesn't support sampler - skip it
+  if (Err == CL_INVALID_OPERATION)
+    return 0;
+
+  assert(Err == CL_SUCCESS);
+  B = sycl::sampler(ClSampler, Queue.get_context());
+
+  assert(B.get_addressing_mode() == sycl::addressing_mode::repeat);
+  assert(B.get_coordinate_normalization_mode() ==
+         sycl::coordinate_normalization_mode::normalized);
+  assert(B.get_filtering_mode() == sycl::filtering_mode::linear);
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/set_arg_interop.cpp b/sycl/test-e2e/DeprecatedFeatures/set_arg_interop.cpp
new file mode 100644
index 0000000000000..853ead81618d2
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/set_arg_interop.cpp
@@ -0,0 +1,121 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -D__SYCL_INTERNAL_API -o %t.out %opencl_lib -O3
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+int main() {
+  queue Queue;
+  context Context = Queue.get_context();
+
+  cl_context ClContext = Context.get();
+
+  const size_t CountSources = 3;
+  const char *Sources[CountSources] = {
+      "kernel void foo1(global float* Array, global int* Value) { *Array = "
+      "42; *Value = 1; }\n",
+      "kernel void foo2(global float* Array) { int id = get_global_id(0); "
+      "Array[id] = id; }\n",
+      "kernel void foo3(global float* Array, local float* LocalArray) { "
+      "(void)LocalArray; (void)Array; }\n",
+  };
+
+  cl_int Err;
+  cl_program ClProgram = clCreateProgramWithSource(ClContext, CountSources,
+                                                   Sources, nullptr, &Err);
+  assert(Err == CL_SUCCESS);
+
+  Err = clBuildProgram(ClProgram, 0, nullptr, nullptr, nullptr, nullptr);
+  assert(Err == CL_SUCCESS);
+
+  cl_kernel FirstCLKernel = clCreateKernel(ClProgram, "foo1", &Err);
+  assert(Err == CL_SUCCESS);
+
+  cl_kernel SecondCLKernel = clCreateKernel(ClProgram, "foo2", &Err);
+  assert(Err == CL_SUCCESS);
+
+  cl_kernel ThirdCLKernel = clCreateKernel(ClProgram, "foo3", &Err);
+  assert(Err == CL_SUCCESS);
+
+  const size_t Count = 100;
+  float Array[Count];
+
+  kernel FirstKernel(FirstCLKernel, Context);
+  kernel SecondKernel(SecondCLKernel, Context);
+  kernel ThirdKernel(ThirdCLKernel, Context);
+  int Value;
+  {
+    buffer<float, 1> FirstBuffer(Array, range<1>(1));
+    buffer<int, 1> SecondBuffer(&Value, range<1>(1));
+    Queue.submit([&](handler &CGH) {
+      CGH.set_arg(0, FirstBuffer.get_access<access::mode::write>(CGH));
+      CGH.set_arg(1, SecondBuffer.get_access<access::mode::write>(CGH));
+      CGH.single_task(FirstKernel);
+    });
+  }
+  Queue.wait_and_throw();
+
+  assert(Array[0] == 42);
+  assert(Value == 1);
+
+  {
+    buffer<float, 1> FirstBuffer(Array, range<1>(Count));
+    Queue.submit([&](handler &CGH) {
+      auto Acc = FirstBuffer.get_access<access::mode::read_write>(CGH);
+      CGH.set_arg(0, FirstBuffer.get_access<access::mode::read_write>(CGH));
+      CGH.parallel_for(range<1>{Count}, SecondKernel);
+    });
+  }
+  Queue.wait_and_throw();
+
+  for (size_t I = 0; I < Count; ++I) {
+    assert(Array[I] == I);
+  }
+
+  {
+    auto dev = Queue.get_device();
+    auto ctxt = Queue.get_context();
+    if (dev.get_info<info::device::usm_shared_allocations>()) {
+      float *data =
+          static_cast<float *>(malloc_shared(Count * sizeof(float), dev, ctxt));
+
+      Queue.submit([&](handler &CGH) {
+        CGH.set_arg(0, data);
+        CGH.parallel_for(range<1>{Count}, SecondKernel);
+      });
+      Queue.wait_and_throw();
+
+      for (size_t I = 0; I < Count; ++I) {
+        assert(data[I] == I);
+      }
+      free(data, ctxt);
+    }
+  }
+
+  {
+    buffer<float, 1> FirstBuffer(Array, range<1>(Count));
+    Queue.submit([&](handler &CGH) {
+      auto Acc = FirstBuffer.get_access<access::mode::read_write>(CGH);
+      CGH.set_arg(0, FirstBuffer.get_access<access::mode::read_write>(CGH));
+      CGH.set_arg(1, sycl::accessor<float, 1, sycl::access::mode::read_write,
+                                    sycl::access::target::local>(
+                         sycl::range<1>(Count), CGH));
+      CGH.parallel_for(range<1>{Count}, ThirdKernel);
+    });
+  }
+  Queue.wait_and_throw();
+
+  clReleaseContext(ClContext);
+  clReleaseKernel(FirstCLKernel);
+  clReleaseKernel(SecondCLKernel);
+  clReleaseKernel(ThirdCLKernel);
+  clReleaseProgram(ClProgram);
+  return 0;
+}
diff --git a/sycl/test-e2e/DeprecatedFeatures/subbuffer_interop.cpp b/sycl/test-e2e/DeprecatedFeatures/subbuffer_interop.cpp
new file mode 100644
index 0000000000000..8857381d886da
--- /dev/null
+++ b/sycl/test-e2e/DeprecatedFeatures/subbuffer_interop.cpp
@@ -0,0 +1,339 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_INTERNAL_API %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------------ subbuffer_interop.cpp - SYCL buffer basic test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <iostream>
+#include <memory>
+#include <numeric>
+
+using namespace sycl;
+
+const std::string clKernelSourceCodeSimple = "\
+__kernel void test(__global int* a, __global int* b) {\
+    int i = get_global_id(0);\
+    if (i < 256) { \
+      b[i] = 0; \
+    } \
+}";
+
+const std::string clKernelSourceCodeNonOverlap = "\
+__kernel void test(__global int* a, __global int* b, __global int *c) {\
+    int i = get_global_id(0);\
+    if (i < 128) { \
+      b[i] = 0; \
+    } \
+    if (i >= 256 && i < 384) { \
+      c[i - 256] = 0; \
+    } \
+}";
+
+const std::string clKernelSourceCodeOverlap = "\
+__kernel void test1(__global int* a, __global int* b) {\
+    int i = get_global_id(0);\
+    if (i < 256) { \
+      b[i] = 0; \
+    } \
+} \
+__kernel void test2(__global int* a, __global int* b) {\
+    int i = get_global_id(0);\
+    if (i < 128) { \
+      b[i] = 1; \
+    } \
+}";
+
+int main() {
+  bool Failed = false;
+  {
+    // Test if we can write into subbufer from OpenCL code.
+    const size_t NSize = 512;
+    cl_int Error = CL_SUCCESS;
+    int AMem[NSize];
+    for (size_t i = 0; i < NSize; i++) {
+      AMem[i] = i;
+    }
+
+    try {
+      queue TestQueue;
+
+      const char *SrcString[] = {clKernelSourceCodeSimple.c_str()};
+      const size_t SrcStringSize = clKernelSourceCodeSimple.size();
+
+      cl_context clContext = TestQueue.get_context().get();
+      cl_device_id clDevice = TestQueue.get_device().get();
+
+      cl_program clProgram = clCreateProgramWithSource(clContext, 1, SrcString,
+                                                       &SrcStringSize, &Error);
+
+      assert(Error == CL_SUCCESS);
+
+      Error = clBuildProgram(clProgram, 1, &clDevice, NULL, NULL, NULL);
+
+      assert(Error == CL_SUCCESS);
+
+      cl_kernel clKernel = clCreateKernel(clProgram, "test", &Error);
+
+      assert(Error == CL_SUCCESS);
+
+      buffer<int, 1> BufA(AMem, sycl::range<1>(NSize));
+      buffer<int, 1> BufB(BufA, NSize / 2, NSize / 2);
+
+      kernel TestKernel(clKernel, TestQueue.get_context());
+
+      TestQueue.submit([&](handler &cgh) {
+        auto a_acc = BufA.get_access<access::mode::read>(cgh);
+        auto b_acc = BufB.get_access<access::mode::write>(cgh);
+        cgh.set_arg(0, a_acc);
+        cgh.set_arg(1, b_acc);
+
+        cgh.parallel_for(range<1>(NSize), TestKernel);
+      });
+
+      clReleaseKernel(clKernel);
+      clReleaseProgram(clProgram);
+    } catch (exception &ex) {
+      std::cout << ex.what() << std::endl;
+    }
+
+    for (int i = 0; i < NSize; ++i) {
+      if (i < NSize / 2 && AMem[i] != i) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << i
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      } else if (i >= NSize / 2 && AMem[i] != 0) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << 0
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      }
+    }
+  }
+  {
+    // Test if we can use two sub buffers, pointing to one buffer, from OpenCL.
+    const size_t NSize = 512;
+    cl_int Error = CL_SUCCESS;
+    int AMem[NSize];
+    for (size_t i = 0; i < NSize; i++) {
+      AMem[i] = i;
+    }
+
+    try {
+      queue TestQueue;
+
+      const char *SrcString[] = {clKernelSourceCodeNonOverlap.c_str()};
+      const size_t SrcStringSize = clKernelSourceCodeNonOverlap.size();
+
+      cl_context clContext = TestQueue.get_context().get();
+      cl_device_id clDevice = TestQueue.get_device().get();
+
+      cl_program clProgram = clCreateProgramWithSource(clContext, 1, SrcString,
+                                                       &SrcStringSize, &Error);
+
+      assert(Error == CL_SUCCESS);
+
+      Error = clBuildProgram(clProgram, 1, &clDevice, NULL, NULL, NULL);
+
+      assert(Error == CL_SUCCESS);
+
+      cl_kernel clKernel = clCreateKernel(clProgram, "test", &Error);
+
+      assert(Error == CL_SUCCESS);
+
+      buffer<int, 1> BufA(AMem, sycl::range<1>(NSize));
+      buffer<int, 1> BufB(BufA, 0, NSize / 4);
+      buffer<int, 1> BufC(BufA, 2 * NSize / 4, NSize / 4);
+
+      kernel TestKernel(clKernel, TestQueue.get_context());
+
+      TestQueue.submit([&](handler &cgh) {
+        auto a_acc = BufA.get_access<access::mode::read>(cgh);
+        auto b_acc = BufB.get_access<access::mode::write>(cgh);
+        auto c_acc = BufC.get_access<access::mode::write>(cgh);
+        cgh.set_arg(0, a_acc);
+        cgh.set_arg(1, b_acc);
+        cgh.set_arg(2, c_acc);
+
+        cgh.parallel_for(range<1>(NSize), TestKernel);
+      });
+
+      clReleaseKernel(clKernel);
+      clReleaseProgram(clProgram);
+    } catch (exception &ex) {
+      std::cout << ex.what() << std::endl;
+    }
+
+    for (int i = 0; i < NSize; ++i) {
+      if (i < NSize / 4 && AMem[i] != 0) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << 0
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      } else if (i >= NSize / 4 && i < 2 * NSize / 4 && AMem[i] != i) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << i
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      } else if (i >= 2 * NSize / 4 && i < 3 * NSize / 4 && AMem[i] != 0) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << 0
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      } else if (i >= 3 * NSize / 4 && AMem[i] != i) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << i
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      }
+    }
+  }
+  {
+    // Test if we can use two sub buffers, pointing to one buffer, from
+    // two different OpenCL kernels.
+    const size_t NSize = 512;
+    cl_int Error = CL_SUCCESS;
+    int AMem[NSize];
+    for (size_t i = 0; i < NSize; i++) {
+      AMem[i] = i;
+    }
+
+    try {
+      queue TestQueue;
+
+      const char *SrcString[] = {clKernelSourceCodeOverlap.c_str()};
+      const size_t SrcStringSize = clKernelSourceCodeOverlap.size();
+
+      cl_context clContext = TestQueue.get_context().get();
+      cl_device_id clDevice = TestQueue.get_device().get();
+
+      cl_program clProgram = clCreateProgramWithSource(clContext, 1, SrcString,
+                                                       &SrcStringSize, &Error);
+
+      assert(Error == CL_SUCCESS);
+
+      Error = clBuildProgram(clProgram, 1, &clDevice, NULL, NULL, NULL);
+
+      assert(Error == CL_SUCCESS);
+
+      cl_kernel clKernel1 = clCreateKernel(clProgram, "test1", &Error);
+      assert(Error == CL_SUCCESS);
+
+      cl_kernel clKernel2 = clCreateKernel(clProgram, "test2", &Error);
+      assert(Error == CL_SUCCESS);
+
+      buffer<int, 1> BufA(AMem, sycl::range<1>(NSize));
+      buffer<int, 1> BufB(BufA, 0, NSize / 2);
+      buffer<int, 1> BufC(BufA, NSize / 4, NSize / 4);
+
+      kernel TestKernel1(clKernel1, TestQueue.get_context());
+      kernel TestKernel2(clKernel2, TestQueue.get_context());
+
+      TestQueue.submit([&](handler &cgh) {
+        auto a_acc = BufA.get_access<access::mode::read>(cgh);
+        auto b_acc = BufB.get_access<access::mode::write>(cgh);
+        cgh.set_arg(0, a_acc);
+        cgh.set_arg(1, b_acc);
+
+        cgh.parallel_for(range<1>(NSize), TestKernel1);
+      });
+
+      TestQueue.submit([&](handler &cgh) {
+        auto a_acc = BufA.get_access<access::mode::read>(cgh);
+        auto c_acc = BufC.get_access<access::mode::write>(cgh);
+        cgh.set_arg(0, a_acc);
+        cgh.set_arg(1, c_acc);
+
+        cgh.parallel_for(range<1>(NSize), TestKernel2);
+      });
+
+      clReleaseKernel(clKernel1);
+      clReleaseKernel(clKernel2);
+      clReleaseProgram(clProgram);
+    } catch (exception &ex) {
+      std::cout << ex.what() << std::endl;
+    }
+
+    for (int i = 0; i < NSize; ++i) {
+      if (i < NSize / 4 && AMem[i] != 0) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << 0
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      } else if (i >= NSize / 4 && i < 2 * NSize / 4 && AMem[i] != 1) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << i
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      } else if (i >= 2 * NSize / 4 && AMem[i] != i) {
+        std::cout << " array[" << i << "] is " << AMem[i] << " expected " << i
+                  << std::endl;
+        assert(false);
+        Failed = true;
+      }
+    }
+  }
+
+  const char *cl_src = "kernel void test(global int *p) { "
+                       "        printf(\"offset on device = \%d\\n\", *p);"
+                       "        if (p) *p *= 3;"
+                       "}";
+
+  {
+    sycl::queue Q;
+
+    // Create OpenCL program
+    cl_int err;
+    auto context_cl = Q.get_context().get();
+    auto device_cl = Q.get_device().get();
+    cl_program program_cl =
+        clCreateProgramWithSource(context_cl, 1, &cl_src, nullptr, &err);
+    err = clBuildProgram(program_cl, 1, &device_cl, nullptr, nullptr, nullptr);
+    cl_kernel kernel_cl = clCreateKernel(program_cl, "test", &err);
+    sycl::kernel kernel_sycl(kernel_cl, Q.get_context());
+
+    // Create buffer
+    constexpr int N = 256;
+    std::vector<int> v(2 * N);
+    std::iota(v.begin(), v.end(), 0);
+    sycl::buffer<int, 1> buf(v.data(), v.size());
+    sycl::buffer<int, 1> subbuf(buf, N, N);
+
+    auto subbuf_copy = new sycl::buffer<int, 1>(subbuf.reinterpret<int, 1>(N));
+
+    // Test offsets
+    {
+      auto host_acc = subbuf_copy->get_access<sycl::access::mode::read>();
+      std::cout << "On host: offset = " << host_acc[0] << std::endl;
+      assert(host_acc[0] == 256 && "Invalid subbuffer origin");
+    }
+
+    Q.submit([&](sycl::handler &cgh) {
+      auto acc = subbuf_copy->get_access<sycl::access::mode::write>(cgh);
+      cgh.set_args(acc);
+      cgh.single_task(kernel_sycl);
+    });
+
+    Q.wait_and_throw();
+
+    {
+      auto host_acc = subbuf_copy->get_access<sycl::access::mode::read>();
+      std::cout << "On host: offset = " << host_acc[0] << std::endl;
+      assert(host_acc[0] == 256 * 3 && "Invalid subbuffer origin");
+    }
+  }
+
+  return Failed;
+}
diff --git a/sycl/test-e2e/DeviceArchitecture/device_architecture.cpp b/sycl/test-e2e/DeviceArchitecture/device_architecture.cpp
new file mode 100644
index 0000000000000..5815ae6021077
--- /dev/null
+++ b/sycl/test-e2e/DeviceArchitecture/device_architecture.cpp
@@ -0,0 +1,72 @@
+// REQUIRES: opencl-aot, cpu
+// TODO: Test is failing on Windows with OpenCL, enable back when the issue
+// fixed.
+// UNSUPPORTED: windows && opencl
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %s -o %t.out
+// RUN: %t.out
+
+#include <sycl/ext/oneapi/experimental/device_architecture.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+
+int main() {
+  std::vector<int> vec(2);
+  {
+    buffer<int> buf(vec.data(), vec.size());
+
+    queue q(cpu_selector_v);
+
+    // test if_architecture_is
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+      cgh.single_task([=]() {
+        if_architecture_is<architecture::x86_64>([&]() {
+          acc[0] = 1;
+        }).otherwise([&]() { acc[0] = 0; });
+      });
+    });
+
+    // test else_if_architecture_is
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+      cgh.single_task([=]() {
+        if_architecture_is<architecture::intel_gpu_dg1>([&]() {
+          acc[1] = 0;
+        }).else_if_architecture_is<architecture::x86_64>([&]() {
+            acc[1] = 2;
+          }).otherwise([&]() { acc[1] = 0; });
+      });
+    });
+
+    // test otherwise
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+      cgh.single_task([=]() {
+        if_architecture_is<architecture::intel_gpu_dg1>([&]() {
+          acc[2] = 0;
+        }).otherwise([&]() { acc[2] = 3; });
+      });
+    });
+
+    // test more than one architecture template parameter is passed to
+    // if_architecture_is
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+      cgh.single_task([=]() {
+        if_architecture_is<architecture::intel_gpu_dg1, architecture::x86_64>(
+            [&]() { acc[3] = 4; })
+            .otherwise([&]() { acc[3] = 0; });
+      });
+    });
+  }
+
+  assert(vec[0] == 1);
+  assert(vec[1] == 2);
+  assert(vec[2] == 3);
+  assert(vec[3] == 4);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceCodeSplit/Inputs/split-per-source-second-file.cpp b/sycl/test-e2e/DeviceCodeSplit/Inputs/split-per-source-second-file.cpp
new file mode 100644
index 0000000000000..b4f05087477f9
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/Inputs/split-per-source-second-file.cpp
@@ -0,0 +1,24 @@
+#include "split-per-source.h"
+
+void runKernelsFromFile2() {
+  sycl::queue Q;
+  int Data = 0;
+  {
+    sycl::buffer<int, 1> Buf(&Data, sycl::range<1>(1));
+    auto KernelID1 = sycl::get_kernel_id<File2Kern1>();
+    auto KernelID2 = sycl::get_kernel_id<File1Kern1>();
+    auto KernelID3 = sycl::get_kernel_id<File1Kern2>();
+    auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+        Q.get_context(), {KernelID1});
+    auto Krn = KB.get_kernel(KernelID1);
+
+    assert(!KB.has_kernel(KernelID2));
+    assert(!KB.has_kernel(KernelID3));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      Cgh.single_task<File2Kern1>(Krn, [=]() { Acc[0] = 3; });
+    });
+  }
+  assert(Data == 3);
+}
diff --git a/sycl/test-e2e/DeviceCodeSplit/Inputs/split-per-source.h b/sycl/test-e2e/DeviceCodeSplit/Inputs/split-per-source.h
new file mode 100644
index 0000000000000..b848cb3c68eea
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/Inputs/split-per-source.h
@@ -0,0 +1,7 @@
+#include <sycl/sycl.hpp>
+
+class File1Kern1;
+class File1Kern2;
+class File2Kern1;
+
+void runKernelsFromFile2();
diff --git a/sycl/test-e2e/DeviceCodeSplit/aot-accelerator.cpp b/sycl/test-e2e/DeviceCodeSplit/aot-accelerator.cpp
new file mode 100644
index 0000000000000..70ed2adbb6008
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/aot-accelerator.cpp
@@ -0,0 +1,5 @@
+// REQUIRES: opencl-aot, accelerator
+
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_source -fsycl-targets=spir64_fpga -I %S/Inputs -o %t.out %S/split-per-source-main.cpp %S/Inputs/split-per-source-second-file.cpp \
+// RUN: -fsycl-dead-args-optimization
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/DeviceCodeSplit/aot-cpu.cpp b/sycl/test-e2e/DeviceCodeSplit/aot-cpu.cpp
new file mode 100644
index 0000000000000..5a035a61bb207
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/aot-cpu.cpp
@@ -0,0 +1,5 @@
+// REQUIRES: opencl-aot, cpu
+
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_source -fsycl-targets=spir64_x86_64 -I %S/Inputs -o %t.out %S/split-per-source-main.cpp %S/Inputs/split-per-source-second-file.cpp \
+// RUN: -fsycl-dead-args-optimization
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/DeviceCodeSplit/aot-gpu.cpp b/sycl/test-e2e/DeviceCodeSplit/aot-gpu.cpp
new file mode 100644
index 0000000000000..ac01090e648e8
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/aot-gpu.cpp
@@ -0,0 +1,12 @@
+// REQUIRES: ocloc, gpu
+// UNSUPPORTED: cuda || hip
+// CUDA does neither support device code splitting nor SPIR.
+//
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_source \
+// RUN:   -fsycl-targets=spir64_gen \
+// RUN:   -Xsycl-target-backend=spir64_gen \
+// RUN:   "-device tgllp" -I %S/Inputs -o %t.out \
+// RUN:   %S/split-per-source-main.cpp \
+// RUN:   %S/Inputs/split-per-source-second-file.cpp \
+// RUN:   -fsycl-dead-args-optimization
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/DeviceCodeSplit/large-grf.cpp b/sycl/test-e2e/DeviceCodeSplit/large-grf.cpp
new file mode 100644
index 0000000000000..a522eb66cbf87
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/large-grf.cpp
@@ -0,0 +1,146 @@
+//==----------- double-grf.cpp  - DPC++ SYCL on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test verifies effect of
+//   set_kernel_properties(kernel_properties::use_double_grf);
+// API call in device code:
+// - ESIMD/SYCL splitting happens as usual
+// - SYCL module is further split into callgraphs for entry points requesting
+//   "double GRF" and callgraphs for entry points which are not
+// - SYCL device binary images requesting "double GRF" must be compiled with
+//   -ze-opt-large-register-file option
+
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// TODO/FIXME: esimd_emulator does not support online compilation that
+//             invokes 'piProgramBuild'/'piKernelCreate'
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-NO-VAR
+// RUN: env SYCL_PROGRAM_COMPILE_OPTIONS="-g" SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-WITH-VAR
+// RUN: %clangxx -fsycl -DUSE_LARGE_GRF=1 %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-NO-VAR
+// RUN: env SYCL_PROGRAM_COMPILE_OPTIONS="-g" SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-WITH-VAR
+
+#include "../helpers.hpp"
+#include <iostream>
+#include <sycl/ext/intel/experimental/kernel_properties.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::experimental;
+
+bool checkResult(const std::vector<float> &A, int Inc) {
+  int err_cnt = 0;
+  unsigned Size = A.size();
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != i + Inc)
+      if (++err_cnt < 10)
+        std::cerr << "failed at A[" << i << "]: " << A[i] << " != " << i + Inc
+                  << "\n";
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+    return false;
+  }
+  return true;
+}
+
+// Make the double GRF request from non-inlineable function - compiler should
+// mark the caller kernel as "double GRF" anyway.
+__attribute__((noinline)) void double_grf_marker() {
+#ifdef USE_LARGE_GRF
+  set_kernel_properties(kernel_properties::use_large_grf);
+#else
+  set_kernel_properties(kernel_properties::use_double_grf);
+#endif
+}
+
+int main(void) {
+  constexpr unsigned Size = 32;
+  constexpr unsigned VL = 16;
+
+  std::vector<float> A(Size);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+    queue q(sycl::gpu_selector_v, exceptionHandlerHelper);
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class SYCLKernelSingleGRF>(Size,
+                                                  [=](id<1> i) { PA[i] += 2; });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 2)) {
+    std::cout << "SingleGRF kernel passed\n";
+  } else {
+    std::cout << "SingleGRF kernel failed\n";
+    return 1;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+    queue q(sycl::gpu_selector_v, exceptionHandlerHelper);
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class SYCLKernelDoubleGRF>(Size, [=](id<1> i) {
+        double_grf_marker();
+        PA[i] += 2;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 4)) {
+    std::cout << "DoubleGRF kernel passed\n";
+  } else {
+    std::cout << "DoubleGRF kernel failed\n";
+    return 1;
+  }
+
+  return 0;
+}
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NOT: -ze-opt-large-register-file
+// CHECK-WITH-VAR: -g
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}SingleGRF
+// CHECK: ) ---> pi_result : PI_SUCCESS
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NO-VAR: -ze-opt-large-register-file
+// CHECK-WITH-VAR: -g -ze-opt-large-register-file
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}DoubleGRF
+// CHECK: ) ---> pi_result : PI_SUCCESS
diff --git a/sycl/test-e2e/DeviceCodeSplit/split-per-kernel.cpp b/sycl/test-e2e/DeviceCodeSplit/split-per-kernel.cpp
new file mode 100644
index 0000000000000..90587dd873c73
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/split-per-kernel.cpp
@@ -0,0 +1,76 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel -o %t.out %s \
+// RUN: -fsycl-dead-args-optimization
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+
+#include <sycl/sycl.hpp>
+
+class Kern1;
+class Kern2;
+class Kern3;
+
+int main() {
+  sycl::queue Q;
+  int Data = 0;
+  {
+    sycl::buffer<int, 1> Buf(&Data, sycl::range<1>(1));
+    auto KernelID1 = sycl::get_kernel_id<Kern1>();
+    auto KernelID2 = sycl::get_kernel_id<Kern2>();
+    auto KernelID3 = sycl::get_kernel_id<Kern3>();
+    auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+        Q.get_context(), {KernelID1});
+    auto Krn = KB.get_kernel(KernelID1);
+
+    assert(!KB.has_kernel(KernelID2));
+    assert(!KB.has_kernel(KernelID3));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      Cgh.single_task<Kern1>(Krn, [=]() { Acc[0] = 1; });
+    });
+  }
+  assert(Data == 1);
+
+  {
+    sycl::buffer<int, 1> Buf(&Data, sycl::range<1>(1));
+    auto KernelID1 = sycl::get_kernel_id<Kern1>();
+    auto KernelID2 = sycl::get_kernel_id<Kern2>();
+    auto KernelID3 = sycl::get_kernel_id<Kern3>();
+    auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+        Q.get_context(), {KernelID2});
+    auto Krn = KB.get_kernel(KernelID2);
+
+    assert(!KB.has_kernel(KernelID1));
+    assert(!KB.has_kernel(KernelID3));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      Cgh.single_task<Kern2>(Krn, [=]() { Acc[0] = 2; });
+    });
+  }
+  assert(Data == 2);
+
+  {
+    sycl::buffer<int, 1> Buf(&Data, sycl::range<1>(1));
+    auto KernelID1 = sycl::get_kernel_id<Kern1>();
+    auto KernelID2 = sycl::get_kernel_id<Kern2>();
+    auto KernelID3 = sycl::get_kernel_id<Kern3>();
+    auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+        Q.get_context(), {KernelID3});
+    auto Krn = KB.get_kernel(KernelID3);
+
+    assert(!KB.has_kernel(KernelID1));
+    assert(!KB.has_kernel(KernelID2));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      Cgh.single_task<Kern3>(Krn, [=]() { Acc[0] = 3; });
+    });
+  }
+  assert(Data == 3);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceCodeSplit/split-per-source-main.cpp b/sycl/test-e2e/DeviceCodeSplit/split-per-source-main.cpp
new file mode 100644
index 0000000000000..38c16e6d58cdf
--- /dev/null
+++ b/sycl/test-e2e/DeviceCodeSplit/split-per-source-main.cpp
@@ -0,0 +1,56 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_source -I %S/Inputs -o %t.out %s %S/Inputs/split-per-source-second-file.cpp \
+// RUN: -fsycl-dead-args-optimization
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+
+#include "Inputs/split-per-source.h"
+
+int main() {
+  sycl::queue Q;
+  int Data = 0;
+  {
+    sycl::buffer<int, 1> Buf(&Data, sycl::range<1>(1));
+    auto KernelID = sycl::get_kernel_id<File1Kern1>();
+    auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+        Q.get_context(), {KernelID});
+    auto Krn = KB.get_kernel(KernelID);
+
+    assert(KB.has_kernel(KernelID));
+    // TODO uncomment once the KernelInfo in multiple translation units
+    // bug is fixed.
+    // assert(!Prg.has_kernel<File2Kern1>());
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      Cgh.single_task<File1Kern1>(/*Krn,*/ [=]() { Acc[0] = 1; });
+    });
+  }
+  assert(Data == 1);
+
+  {
+    sycl::buffer<int, 1> Buf(&Data, sycl::range<1>(1));
+    auto KernelID1 = sycl::get_kernel_id<File1Kern1>();
+    auto KernelID2 = sycl::get_kernel_id<File1Kern2>();
+    auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+        Q.get_context(), {KernelID1});
+    auto Krn = KB.get_kernel(KernelID2);
+
+    assert(KB.has_kernel(KernelID1));
+    // TODO uncomment once the KernelInfo in multiple translation units
+    // bug is fixed.
+    // assert(!Prg.has_kernel<File2Kern1>());
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      Cgh.single_task<File1Kern2>(/*Krn,*/ [=]() { Acc[0] = 2; });
+    });
+  }
+  assert(Data == 2);
+
+  runKernelsFromFile2();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceGlobal/device_global_arrow.cpp b/sycl/test-e2e/DeviceGlobal/device_global_arrow.cpp
new file mode 100644
index 0000000000000..b90a51396155a
--- /dev/null
+++ b/sycl/test-e2e/DeviceGlobal/device_global_arrow.cpp
@@ -0,0 +1,74 @@
+// TODO: device_global without the device_image_scope property is not currently
+//       initialized on device. Enable the following test cases when it is
+//       supported.
+// RUNx: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUNx: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_source -DUSE_DEVICE_IMAGE_SCOPE %s -o %t_dev_img_scope.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_dev_img_scope.out
+//
+// CPU and accelerators are not currently guaranteed to support the required
+// extensions they are disabled until they are.
+// UNSUPPORTED: cpu, accelerator
+//
+// Tests operator-> on device_global.
+// NOTE: USE_DEVICE_IMAGE_SCOPE needs both kernels to be in the same image so
+//       we set -fsycl-device-code-split=per_source.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+
+struct StructWithMember {
+  int x;
+  int getX() { return x; }
+};
+
+struct StructWithDeref {
+  StructWithMember y[1];
+  StructWithMember *operator->() { return y; }
+};
+
+#ifdef USE_DEVICE_IMAGE_SCOPE
+device_global<StructWithMember *, decltype(properties{device_image_scope})>
+    DeviceGlobalVar1;
+device_global<StructWithDeref, decltype(properties{device_image_scope})>
+    DeviceGlobalVar2;
+#else
+device_global<StructWithMember *> DeviceGlobalVar1;
+device_global<StructWithDeref> DeviceGlobalVar2;
+#endif
+
+int main() {
+  queue Q;
+
+  StructWithMember *DGMem = malloc_device<StructWithMember>(1, Q);
+
+  Q.single_task([=]() {
+     DeviceGlobalVar1 = DGMem;
+     DeviceGlobalVar1->x = 1234;
+     DeviceGlobalVar2->x = 4321;
+   }).wait();
+
+  int Out[2] = {0, 0};
+  {
+    buffer<int, 1> OutBuf{Out, 2};
+    Q.submit([&](handler &CGH) {
+      auto OutAcc = OutBuf.get_access<access::mode::write>(CGH);
+      CGH.single_task([=]() {
+        OutAcc[0] = DeviceGlobalVar1->getX();
+        OutAcc[1] = DeviceGlobalVar2->getX();
+      });
+    });
+  }
+  free(DGMem, Q);
+
+  assert(Out[0] == 1234 && "First value does not match.");
+  assert(Out[1] == 4321 && "Second value does not match.");
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceGlobal/device_global_device_only.cpp b/sycl/test-e2e/DeviceGlobal/device_global_device_only.cpp
new file mode 100644
index 0000000000000..6e15bd3bf3e8f
--- /dev/null
+++ b/sycl/test-e2e/DeviceGlobal/device_global_device_only.cpp
@@ -0,0 +1,50 @@
+// TODO: device_global without the device_image_scope property is not currently
+//       initialized on device. Enable the following test cases when it is
+//       supported.
+// RUNx: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUNx: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_source -DUSE_DEVICE_IMAGE_SCOPE %s -o %t_dev_img_scope.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_dev_img_scope.out
+//
+// CPU and accelerators are not currently guaranteed to support the required
+// extensions they are disabled until they are.
+// UNSUPPORTED: cpu, accelerator
+//
+// Tests basic device_global access through device kernels.
+// NOTE: USE_DEVICE_IMAGE_SCOPE needs both kernels to be in the same image so
+//       we set -fsycl-device-code-split=per_source.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+
+#ifdef USE_DEVICE_IMAGE_SCOPE
+device_global<int[4], decltype(properties{device_image_scope})> DeviceGlobalVar;
+#else
+device_global<int[4]> DeviceGlobalVar;
+#endif
+
+int main() {
+  queue Q;
+
+  Q.single_task([=]() { DeviceGlobalVar.get()[0] = 42; });
+  // Make sure that the write happens before subsequent read
+  Q.wait();
+
+  int OutVal = 0;
+  {
+    buffer<int, 1> OutBuf(&OutVal, 1);
+    Q.submit([&](handler &CGH) {
+      auto OutAcc = OutBuf.get_access<access::mode::write>(CGH);
+      CGH.single_task([=]() { OutAcc[0] = DeviceGlobalVar.get()[0]; });
+    });
+  }
+  assert(OutVal == 42 && "Read value does not match.");
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceGlobal/device_global_operator_passthrough.cpp b/sycl/test-e2e/DeviceGlobal/device_global_operator_passthrough.cpp
new file mode 100644
index 0000000000000..8e91b647bd75b
--- /dev/null
+++ b/sycl/test-e2e/DeviceGlobal/device_global_operator_passthrough.cpp
@@ -0,0 +1,54 @@
+// TODO: device_global without the device_image_scope property is not currently
+//       initialized on device. Enable the following test cases when it is
+//       supported.
+// RUNx: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUNx: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_source -DUSE_DEVICE_IMAGE_SCOPE %s -o %t_dev_img_scope.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_dev_img_scope.out
+//
+// CPU and accelerators are not currently guaranteed to support the required
+// extensions they are disabled until they are.
+// UNSUPPORTED: cpu, accelerator
+//
+// Tests the passthrough of operators on device_global.
+// NOTE: USE_DEVICE_IMAGE_SCOPE needs both kernels to be in the same image so
+//       we set -fsycl-device-code-split=per_source.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+
+#ifdef USE_DEVICE_IMAGE_SCOPE
+device_global<int, decltype(properties{device_image_scope})> DeviceGlobalVar;
+#else
+device_global<int> DeviceGlobalVar;
+#endif
+
+int main() {
+  queue Q;
+
+  Q.single_task([]() {
+     DeviceGlobalVar = 2;
+     DeviceGlobalVar += 3;
+     DeviceGlobalVar = DeviceGlobalVar * DeviceGlobalVar;
+     DeviceGlobalVar = DeviceGlobalVar - 3;
+     DeviceGlobalVar = 25 - DeviceGlobalVar;
+   }).wait();
+
+  int Out = 0;
+  {
+    buffer<int, 1> OutBuf{&Out, 1};
+    Q.submit([&](handler &CGH) {
+      auto OutAcc = OutBuf.get_access<access::mode::write>(CGH);
+      CGH.single_task([=]() { OutAcc[0] = DeviceGlobalVar; });
+    });
+  }
+  assert(Out == 3 && "Read value does not match.");
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceGlobal/device_global_subscript.cpp b/sycl/test-e2e/DeviceGlobal/device_global_subscript.cpp
new file mode 100644
index 0000000000000..6201bd374c7b3
--- /dev/null
+++ b/sycl/test-e2e/DeviceGlobal/device_global_subscript.cpp
@@ -0,0 +1,64 @@
+// TODO: device_global without the device_image_scope property is not currently
+//       initialized on device. Enable the following test cases when it is
+//       supported.
+// RUNx: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUNx: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_source -DUSE_DEVICE_IMAGE_SCOPE %s -o %t_dev_img_scope.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_dev_img_scope.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_dev_img_scope.out
+//
+// CPU and accelerators are not currently guaranteed to support the required
+// extensions they are disabled until they are.
+// UNSUPPORTED: cpu, accelerator
+//
+// Tests operator[] on device_global.
+// NOTE: USE_DEVICE_IMAGE_SCOPE needs both kernels to be in the same image so
+//       we set -fsycl-device-code-split=per_source.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+
+struct StructWithSubscript {
+  int x[4];
+  int &operator[](std::ptrdiff_t index) { return x[index]; }
+};
+
+#ifdef USE_DEVICE_IMAGE_SCOPE
+device_global<int[4], decltype(properties{device_image_scope})>
+    DeviceGlobalVar1;
+device_global<StructWithSubscript, decltype(properties{device_image_scope})>
+    DeviceGlobalVar2;
+#else
+device_global<int[4]> DeviceGlobalVar1;
+device_global<StructWithSubscript> DeviceGlobalVar2;
+#endif
+
+int main() {
+  queue Q;
+
+  Q.single_task([]() {
+     DeviceGlobalVar1[2] = 1234;
+     DeviceGlobalVar2[1] = 4321;
+   }).wait();
+
+  int Out[2] = {0, 0};
+  {
+    buffer<int, 1> OutBuf{Out, 2};
+    Q.submit([&](handler &CGH) {
+      auto OutAcc = OutBuf.get_access<access::mode::write>(CGH);
+      CGH.single_task([=]() {
+        OutAcc[0] = DeviceGlobalVar1[2];
+        OutAcc[1] = DeviceGlobalVar2[1];
+      });
+    });
+  }
+  assert(Out[0] == 1234 && "First value does not match.");
+  assert(Out[1] == 4321 && "Second value does not match.");
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/ITTAnnotations/atomic.cpp b/sycl/test-e2e/DeviceLib/ITTAnnotations/atomic.cpp
new file mode 100644
index 0000000000000..7c61c69b014cf
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/ITTAnnotations/atomic.cpp
@@ -0,0 +1,44 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-instrument-device-code %s -o %t.out \
+// RUN: -fsycl-targets=%sycl_triple
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "CL/sycl.hpp"
+
+using namespace sycl;
+
+int main() {
+  queue q{};
+
+  int source = 42;
+  int target = 0;
+  {
+    buffer<int> source_buf(&source, 1);
+    buffer<int> target_buf(&target, 1);
+
+    // Ensure that a simple kernel gets run when instrumented with
+    // ITT start/finish annotations and ITT atomic start/finish annotations.
+    q.submit([&](handler &cgh) {
+      auto source_acc =
+          source_buf.template get_access<access::mode::read_write>(cgh);
+      auto target_acc =
+          target_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.single_task<class simple_atomic_kernel>([=]() {
+        auto source_atomic =
+            ext::oneapi::atomic_ref<int, memory_order::relaxed,
+                                    memory_scope::device,
+                                    access::address_space::global_space>(
+                source_acc[0]);
+        // Store source value into target
+        target_acc[0] = source_atomic.load();
+        // Nullify source
+        source_atomic.store(0);
+      });
+    });
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/ITTAnnotations/barrier.cpp b/sycl/test-e2e/DeviceLib/ITTAnnotations/barrier.cpp
new file mode 100644
index 0000000000000..35ff092a88cf8
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/ITTAnnotations/barrier.cpp
@@ -0,0 +1,41 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-instrument-device-code %s -o %t.out \
+// RUN: -fsycl-targets=%sycl_triple
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "CL/sycl.hpp"
+#include <vector>
+
+using namespace sycl;
+
+int main() {
+  queue q{};
+
+  std::vector<int> data_vec(/*size*/ 10, /*value*/ 0);
+  {
+    range<1> num_items(data_vec.size());
+    buffer<int> buf(data_vec.data(), num_items);
+    range<1> local_range(2);
+
+    // Ensure that a simple kernel gets run when instrumented with
+    // ITT start/finish annotations and ITT wg_barrier/wi_resume annotations.
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+      local_accessor<int, 1> local_acc(local_range, cgh);
+      cgh.parallel_for<class simple_barrier_kernel>(
+          nd_range<1>(num_items, local_range), [=](nd_item<1> item) {
+            size_t idx = item.get_global_linear_id();
+            int pos = idx & 1;
+            int opp = pos ^ 1;
+            local_acc[pos] = acc[idx];
+            item.barrier(access::fence_space::local_space);
+            acc[idx] = local_acc[opp];
+          });
+    });
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/assert-aot.cpp b/sycl/test-e2e/DeviceLib/assert-aot.cpp
new file mode 100644
index 0000000000000..87239fc6e44f0
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/assert-aot.cpp
@@ -0,0 +1,5 @@
+// REQUIRES: opencl-aot, cpu, linux
+
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=spir64_x86_64 %S/assert.cpp -o %t.aot.out
+// RUN: %CPU_RUN_PLACEHOLDER EXPECTED_SIGNAL=SIGABRT SHOULD_CRASH=1 %t.aot.out 2>%t.aot.msg
+// RUN: FileCheck %S/assert.cpp --input-file %t.aot.msg --check-prefixes=CHECK-MESSAGE
diff --git a/sycl/test-e2e/DeviceLib/assert-windows.cpp b/sycl/test-e2e/DeviceLib/assert-windows.cpp
new file mode 100644
index 0000000000000..f67efb4fa065e
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/assert-windows.cpp
@@ -0,0 +1,81 @@
+// REQUIRES: cpu,windows
+//
+// FIXME: OpenCL CPU backend compiler crashes on a call to _wassert.
+// Disable the test until the fix reaches SYCL test infrastructure.
+// XFAIL: *
+//
+// RUN: %clangxx -fsycl %s -o %t.out
+//
+// MSVC implementation of assert does not call an unreachable built-in, so the
+// program doesn't terminate when fallback is used.
+//
+// FIXME: SPIR-V Unreachable should be called from the fallback
+// explicitly. Since the test is going to crash, we'll have to follow a similar
+// approach as on Linux - call the test in a subprocess.
+//
+// RUN: %CPU_RUN_PLACEHOLDER env SYCL_PI_TRACE=1 SYCL_DEVICELIB_INHIBIT_NATIVE=1 CL_CONFIG_USE_VECTORIZER=False %t.out >%t.stdout.pi.fallback
+// RUN: %CPU_RUN_PLACEHOLDER env SHOULD_CRASH=1 SYCL_DEVICELIB_INHIBIT_NATIVE=1 CL_CONFIG_USE_VECTORIZER=False %t.out >%t.stdout.msg.fallback
+//
+// RUN: FileCheck %s --check-prefix=CHECK-MESSAGE --input-file %t.stdout.msg.fallback
+// CHECK-MESSAGE: {{.*}}assert-windows.cpp:{{[0-9]+}}: (null): global id:
+// [{{[0-3]}},0,0], local id: [{{[0-3]}},0,0] Assertion `accessorC[wiID] == 0 &&
+// "Invalid value"` failed.
+//
+// RUN: FileCheck %s --input-file %t.stdout.pi.fallback --check-prefix=CHECK-FALLBACK
+// CHECK-FALLBACK: ---> piProgramLink
+
+#include <array>
+#include <assert.h>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr auto sycl_read = sycl::access::mode::read;
+constexpr auto sycl_write = sycl::access::mode::write;
+
+template <typename T, size_t N>
+void simple_vadd(const std::array<T, N> &VA, const std::array<T, N> &VB,
+                 std::array<T, N> &VC) {
+  queue deviceQueue([](sycl::exception_list ExceptionList) {
+    for (std::exception_ptr ExceptionPtr : ExceptionList) {
+      try {
+        std::rethrow_exception(ExceptionPtr);
+      } catch (sycl::exception &E) {
+        std::cerr << E.what() << std::endl;
+      } catch (...) {
+        std::cerr << "Unknown async exception was caught." << std::endl;
+      }
+    }
+  });
+
+  int shouldCrash = getenv("SHOULD_CRASH") ? 1 : 0;
+
+  sycl::range<1> numOfItems{N};
+  sycl::buffer<T, 1> bufferA(VA.data(), numOfItems);
+  sycl::buffer<T, 1> bufferB(VB.data(), numOfItems);
+  sycl::buffer<T, 1> bufferC(VC.data(), numOfItems);
+
+  deviceQueue.submit([&](sycl::handler &cgh) {
+    auto accessorA = bufferA.template get_access<sycl_read>(cgh);
+    auto accessorB = bufferB.template get_access<sycl_read>(cgh);
+    auto accessorC = bufferC.template get_access<sycl_write>(cgh);
+
+    cgh.parallel_for<class SimpleVaddT>(numOfItems, [=](sycl::id<1> wiID) {
+      accessorC[wiID] = accessorA[wiID] + accessorB[wiID];
+      if (shouldCrash) {
+        assert(accessorC[wiID] == 0 && "Invalid value");
+      }
+    });
+  });
+  deviceQueue.wait_and_throw();
+}
+
+int main() {
+  std::array<int, 3> A = {1, 2, 3};
+  std::array<int, 3> B = {1, 2, 3};
+  std::array<int, 3> C = {0, 0, 0};
+
+  simple_vadd(A, B, C);
+  return EXIT_SUCCESS;
+}
diff --git a/sycl/test-e2e/DeviceLib/assert.cpp b/sycl/test-e2e/DeviceLib/assert.cpp
new file mode 100644
index 0000000000000..8fb0bd36587e1
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/assert.cpp
@@ -0,0 +1,217 @@
+// REQUIRES: (cpu || cuda ) && linux
+// RUN: %clangxx -DSYCL_FALLBACK_ASSERT=1 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// (see the other RUN lines below; it is a bit complicated)
+//
+// assert() call in device code guarantees nothing: on some devices it behaves
+// in the usual way and terminates the program. On other devices it can print an
+// error message and *continue* execution. Less capable devices can even ignore
+// an assert!
+//
+// This makes testing an assert() a bit difficult task, and we have to rely on
+// the implementation details to make sure that both "native" and "fallback"
+// implementations work as expected.
+//
+// This test works only on Intel OpenCL CPU implementation, which is known to
+// behave as follows:
+//
+//   Fallback mode (aka the best we can do by following the OpenCL spec):
+//     1. Assertion condition is printed to *stdout* by the OpenCL printf().
+//     2. Process (both host and device) is terminated by a SIGSEGV.
+//
+//   Native mode (same behavior as libc assert on CPU):
+//     1. Assertion condition is printed to *stderr*.
+//     2. Process (both host and device) is terminated by a SIGABRT.
+//
+// Other devices are "covered" by the assert-dummy.cpp test, which doesn't
+// verify anything except a successful compilation for a device.
+//
+// FIXME: assert-dummy.cpp is not implemented yet, so other devices are not
+// covered.
+//
+// How the test works:
+// -------------------
+//
+//   1. First we verify that a call sequence in SYCL Runtime is correct:
+//
+//      - in the fallback mode we have to link an additional library that
+//        provides a generic implementation of assert().
+//
+//      - in the native mode we don't link anything, and call clBuildProgram for
+//        a user program alone.
+//
+//   2. Then we test that there is actually a difference between the two
+//      modes. Since the CPU device is the only device that supports this
+//      extension natively, we catch the difference between the fallback and the
+//      native modes: SIGSEGV should occur in the fallback mode, SIGABRT in the
+//      native mode.
+//
+//      In order to check the signal we fork() and let the child die. Then we
+//      verify how it was terminated. EXPECTED_SIGNAL environment variable
+//      controls the expected result.
+//
+//   3. We also test that a message is printed to the corresponding fd: stdout
+//      for the fallback mode and stderr for the native mode. In the fallback
+//      mode the test process dies right after a call to the OpenCL printf(), so
+//      the message can still be buffered by stdio. We turn the bufferization
+//      off explicitly.
+//
+//   4. We want to check both compilation flow in (1) and the message in (3),
+//      but these messages can interleave and fail to match. To avoid this,
+//      first run with SYCL_PI_TRACE and collect a trace, and then with
+//      SHOULD_CRASH (without SYCL_PI_TRACE) to collect an error message.
+//
+// SYCL_DEVICELIB_INHIBIT_NATIVE=1 environment variable is used to force a mode
+// in SYCL Runtime, so it doesn't look into a device extensions list and always
+// link the fallback library.
+//
+//
+// We also skip the native test entirely (see SKIP_IF_NO_EXT), since the assert
+// extension is a new feature and may not be supported by the runtime used with
+// SYCL.
+//
+// Overall this sounds stable enough. What could possibly go wrong?
+//
+// With either a CPU run or a GPU run we reset the output file and append the
+// results of the runs. Otherwise a skipped GPU run may remove the output from
+// a CPU run prior to running FileCheck.
+// RUN: echo "" > %t.stderr.native
+// RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=2 SHOULD_CRASH=1 EXPECTED_SIGNAL=SIGABRT %t.out 2>> %t.stderr.native
+// RUN: %GPU_RUN_PLACEHOLDER SHOULD_CRASH=1 EXPECTED_SIGNAL=SIGIOT %t.out 2>> %t.stderr.native
+// RUN: FileCheck %s --input-file %t.stderr.native --check-prefixes=CHECK-MESSAGE || FileCheck %s --input-file %t.stderr.native --check-prefix CHECK-NOTSUPPORTED
+//
+// Skip the test if the CPU RT doesn't support the extension yet:
+// CHECK-NOTSUPPORTED: Device has no support for cl_intel_devicelib_assert
+//
+// Anyway, the same message has to be printed for both the fallback and the
+// native modes (fallback prints to stdout, while native prints to stderr; we
+// already handled this difference in the RUN lines):
+//
+// CHECK-MESSAGE: {{.*}}assert.cpp:{{[0-9]+}}: auto simple_vadd(const
+// std::array<int, 3UL> &, const std::array<int, 3UL> &, std::array<int, 3UL>
+// &)::(anonymous class)::operator()(sycl::handler &)::(anonymous
+// class)::operator()(sycl::id<1>) const: global id: [{{[0-3]}},0,0], local
+// id: [{{[0-3]}},0,0] Assertion `accessorC[wiID] == 0 && "Invalid value"`
+// failed.
+//
+// Note that the work-item that hits the assert first may vary, since the order
+// of execution is undefined. We catch only the first one (whatever id it is).
+
+#include <array>
+#include <assert.h>
+#include <iostream>
+#include <stdlib.h>
+#include <sycl/sycl.hpp>
+#include <sys/types.h>
+#include <sys/wait.h>
+#include <unistd.h>
+
+using namespace sycl;
+
+constexpr auto sycl_read = sycl::access::mode::read;
+constexpr auto sycl_write = sycl::access::mode::write;
+
+const int EXIT_SKIP_TEST = 42;
+
+template <typename T, size_t N>
+void simple_vadd(const std::array<T, N> &VA, const std::array<T, N> &VB,
+                 std::array<T, N> &VC) {
+  queue deviceQueue([](sycl::exception_list ExceptionList) {
+    for (std::exception_ptr ExceptionPtr : ExceptionList) {
+      try {
+        std::rethrow_exception(ExceptionPtr);
+      } catch (sycl::exception &E) {
+        std::cerr << E.what() << std::endl;
+      } catch (...) {
+        std::cerr << "Unknown async exception was caught." << std::endl;
+      }
+    }
+  });
+  device dev = deviceQueue.get_device();
+  bool unsupported = true;
+  for (auto &ext : dev.get_info<info::device::extensions>()) {
+    if (ext == "cl_intel_devicelib_assert") {
+      unsupported = false;
+    }
+  }
+  if (unsupported && getenv("SKIP_IF_NO_EXT")) {
+    fprintf(stderr, "Device has no support for cl_intel_devicelib_assert, "
+                    "skipping the test\n");
+    exit(EXIT_SKIP_TEST);
+  }
+
+  sycl::range<1> numOfItems{N};
+  sycl::buffer<T, 1> bufferA(VA.data(), numOfItems);
+  sycl::buffer<T, 1> bufferB(VB.data(), numOfItems);
+  sycl::buffer<T, 1> bufferC(VC.data(), numOfItems);
+
+  deviceQueue.submit([&](sycl::handler &cgh) {
+    auto accessorA = bufferA.template get_access<sycl_read>(cgh);
+    auto accessorB = bufferB.template get_access<sycl_read>(cgh);
+    auto accessorC = bufferC.template get_access<sycl_write>(cgh);
+
+    cgh.parallel_for<class SimpleVaddT>(numOfItems, [=](sycl::id<1> wiID) {
+      accessorC[wiID] = accessorA[wiID] + accessorB[wiID];
+      assert(accessorC[wiID] == 0 && "Invalid value");
+    });
+  });
+  deviceQueue.wait_and_throw();
+}
+
+int main() {
+  int child = fork();
+  if (child) {
+    int status = 0;
+    waitpid(child, &status, 0);
+    if (WIFEXITED(status) && WEXITSTATUS(status) == EXIT_SKIP_TEST) {
+      return 0;
+    }
+    if (getenv("SHOULD_CRASH")) {
+      if (!WIFSIGNALED(status)) {
+        fprintf(stderr, "error: process did not terminate by a signal\n");
+        return 1;
+      }
+    } else {
+      if (WIFSIGNALED(status)) {
+        fprintf(stderr, "error: process should not terminate\n");
+        return 1;
+      }
+      // We should not check anything if the child finished successful and this
+      // was expected.
+      return 0;
+    }
+    int sig = WTERMSIG(status);
+    int expected = 0;
+    if (const char *env = getenv("EXPECTED_SIGNAL")) {
+      if (0 == strcmp(env, "SIGABRT")) {
+        expected = SIGABRT;
+      } else if (0 == strcmp(env, "SIGSEGV")) {
+        expected = SIGSEGV;
+      } else if (0 == strcmp(env, "SIGIOT")) {
+        expected = SIGIOT;
+      }
+      if (!expected) {
+        fprintf(stderr, "EXPECTED_SIGNAL should be set to either \"SIGABRT\", "
+                        "or \"SIGSEGV\"!\n");
+        return 1;
+      }
+    }
+    if (sig != expected) {
+      fprintf(stderr, "error: expected signal %d, got %d\n", expected, sig);
+      return 1;
+    }
+    return 0;
+  }
+
+  // Turn the bufferization off to not loose the assert message if it is written
+  // to stdout.
+  if (setvbuf(stdout, NULL, _IONBF, 0)) {
+    perror("failed to turn off bufferization on stdout");
+    return 1;
+  }
+
+  std::array<int, 3> A = {1, 2, 3};
+  std::array<int, 3> B = {1, 2, 3};
+  std::array<int, 3> C = {0, 0, 0};
+
+  simple_vadd(A, B, C);
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/ext_native_math.cpp b/sycl/test-e2e/DeviceLib/built-ins/ext_native_math.cpp
new file mode 100644
index 0000000000000..4ab4dcf4d138e
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/ext_native_math.cpp
@@ -0,0 +1,50 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Tests oneapi extension native tanh math function for sycl::vec and
+// sycl::marray float cases.
+
+#include "ext_native_math_common.hpp"
+
+int main() {
+
+  sycl::queue q;
+
+  const float tv[16] = {-2.0, -1.5, -1.0, 0.0, 2.0,  1.5, 1.0,   0.0,
+                        -1.7, 1.7,  -1.2, 1.2, -3.0, 3.0, -10.0, 10.0};
+  const float tl[16] = {-0.97, -0.91, -0.77, -0.1, 0.95, 0.89, 0.75,  -0.1,
+                        -0.94, 0.92,  -0.84, 0.82, -1.0, 0.98, -1.10, 0.98};
+  const float tu[16] = {-0.95, -0.89, -0.75, 0.1,  0.97,  0.91, 0.77,  0.1,
+                        -0.92, 0.94,  -0.82, 0.84, -0.98, 1.00, -0.98, 1.10};
+
+  native_tanh_tester<float>(q, tv[0], tl[0], tu[0]);
+  native_tanh_tester<sycl::float2>(q, {tv[0], tv[1]}, {tl[0], tl[1]},
+                                   {tu[0], tu[1]});
+  native_tanh_tester<sycl::float3>(
+      q, {tv[0], tv[1], tv[2]}, {tl[0], tl[1], tl[2]}, {tu[0], tu[1], tu[2]});
+
+  native_tanh_tester<sycl::float4>(q, {tv[0], tv[1], tv[2], tv[3]},
+                                   {tl[0], tl[1], tl[2], tl[3]},
+                                   {tu[0], tu[1], tu[2], tu[3]});
+  native_tanh_tester<sycl::marray<float, 3>>(
+      q, {tv[0], tv[1], tv[2]}, {tl[0], tl[1], tl[2]}, {tu[0], tu[1], tu[2]});
+  native_tanh_tester<sycl::marray<float, 4>>(q, {tv[0], tv[1], tv[2], tv[3]},
+                                             {tl[0], tl[1], tl[2], tl[3]},
+                                             {tu[0], tu[1], tu[2], tu[3]});
+  native_tanh_tester<sycl::float8>(
+      q, {tv[0], tv[1], tv[2], tv[3], tv[4], tv[5], tv[6], tv[7]},
+      {tl[0], tl[1], tl[2], tl[3], tl[4], tl[5], tl[6], tl[7]},
+      {tu[0], tu[1], tu[2], tu[3], tu[4], tu[5], tu[6], tu[7]});
+  native_tanh_tester<sycl::float16>(
+      q,
+      {tv[0], tv[1], tv[2], tv[3], tv[4], tv[5], tv[6], tv[7], tv[8], tv[9],
+       tv[10], tv[11], tv[12], tv[13], tv[14], tv[15]},
+      {tl[0], tl[1], tl[2], tl[3], tl[4], tl[5], tl[6], tl[7], tl[8], tl[9],
+       tl[10], tl[11], tl[12], tl[13], tl[14], tl[15]},
+      {tu[0], tu[1], tu[2], tu[3], tu[4], tu[5], tu[6], tu[7], tu[8], tu[9],
+       tu[10], tu[11], tu[12], tu[13], tu[14], tu[15]});
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/ext_native_math_common.hpp b/sycl/test-e2e/DeviceLib/built-ins/ext_native_math_common.hpp
new file mode 100644
index 0000000000000..7511f032068e9
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/ext_native_math_common.hpp
@@ -0,0 +1,67 @@
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+template <typename T, size_t N>
+void assert_out_of_bound(sycl::marray<T, N> val, sycl::marray<T, N> lower,
+                         sycl::marray<T, N> upper) {
+  for (int i = 0; i < N; i++) {
+    assert(lower[i] < val[i] && val[i] < upper[i]);
+  }
+}
+
+template <typename T> void assert_out_of_bound(T val, T lower, T upper) {
+  assert(sycl::all(lower < val && val < upper));
+}
+
+template <>
+void assert_out_of_bound<float>(float val, float lower, float upper) {
+  assert(lower < val && val < upper);
+}
+
+template <>
+void assert_out_of_bound<sycl::half>(sycl::half val, sycl::half lower,
+                                     sycl::half upper) {
+  assert(lower < val && val < upper);
+}
+
+template <typename T>
+void native_tanh_tester(sycl::queue q, T val, T up, T lo) {
+  T r = val;
+
+#ifdef SYCL_EXT_ONEAPI_NATIVE_MATH
+  {
+    sycl::buffer<T, 1> BufR(&r, sycl::range<1>(1));
+    q.submit([&](sycl::handler &cgh) {
+      auto AccR = BufR.template get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task([=]() {
+        AccR[0] = sycl::ext::oneapi::experimental::native::tanh(AccR[0]);
+      });
+    });
+  }
+
+  assert_out_of_bound(r, up, lo);
+#else
+  assert(!"SYCL_EXT_ONEAPI_NATIVE_MATH not supported");
+#endif
+}
+
+template <typename T>
+void native_exp2_tester(sycl::queue q, T val, T up, T lo) {
+  T r = val;
+
+#ifdef SYCL_EXT_ONEAPI_NATIVE_MATH
+  {
+    sycl::buffer<T, 1> BufR(&r, sycl::range<1>(1));
+    q.submit([&](sycl::handler &cgh) {
+      auto AccR = BufR.template get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task([=]() {
+        AccR[0] = sycl::ext::oneapi::experimental::native::exp2(AccR[0]);
+      });
+    });
+  }
+
+  assert_out_of_bound(r, up, lo);
+#else
+  assert(!"SYCL_EXT_ONEAPI_NATIVE_MATH not supported");
+#endif
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/ext_native_math_fp16.cpp b/sycl/test-e2e/DeviceLib/built-ins/ext_native_math_fp16.cpp
new file mode 100644
index 0000000000000..74bd0f82132e9
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/ext_native_math_fp16.cpp
@@ -0,0 +1,93 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// OpenCL CPU driver does not support cl_khr_fp16 extension for this reason this
+// test is compiled with the -fsycl-device-code-split flag
+
+// Tests oneapi extension native math functions for sycl::vec and sycl::marray
+// fp16 cases.
+
+#include "ext_native_math_common.hpp"
+
+int main() {
+
+  sycl::queue q;
+
+  if (!q.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "skipping fp16 tests: requires fp16 device aspect."
+              << std::endl;
+    return 0;
+  }
+
+  const sycl::half tv[16] = {-2.0, -1.5, -1.0, 0.0, 2.0,  1.5, 1.0,   0.0,
+                             -1.7, 1.7,  -1.2, 1.2, -3.0, 3.0, -10.0, 10.0};
+  const sycl::half tl[16] = {-0.97, -0.91, -0.77, -0.1, 0.95,  0.89,
+                             0.75,  -0.1,  -0.94, 0.92, -0.84, 0.82,
+                             -1.0,  0.98,  -1.10, 0.98};
+  const sycl::half tu[16] = {-0.95, -0.89, -0.75, 0.1,  0.97,  0.91,
+                             0.77,  0.1,   -0.92, 0.94, -0.82, 0.84,
+                             -0.98, 1.00,  -0.98, 1.10};
+
+  native_tanh_tester<sycl::half>(q, tv[0], tl[0], tu[0]);
+  native_tanh_tester<sycl::half2>(q, {tv[0], tv[1]}, {tl[0], tl[1]},
+                                  {tu[0], tu[1]});
+  native_tanh_tester<sycl::half3>(q, {tv[0], tv[1], tv[2]},
+                                  {tl[0], tl[1], tl[2]}, {tu[0], tu[1], tu[2]});
+  native_tanh_tester<sycl::marray<sycl::half, 3>>(
+      q, {tv[0], tv[1], tv[2]}, {tl[0], tl[1], tl[2]}, {tu[0], tu[1], tu[2]});
+  native_tanh_tester<sycl::half4>(q, {tv[0], tv[1], tv[2], tv[3]},
+                                  {tl[0], tl[1], tl[2], tl[3]},
+                                  {tu[0], tu[1], tu[2], tu[3]});
+  native_tanh_tester<sycl::marray<sycl::half, 4>>(
+      q, {tv[0], tv[1], tv[2], tv[3]}, {tl[0], tl[1], tl[2], tl[3]},
+      {tu[0], tu[1], tu[2], tu[3]});
+  native_tanh_tester<sycl::half8>(
+      q, {tv[0], tv[1], tv[2], tv[3], tv[4], tv[5], tv[6], tv[7]},
+      {tl[0], tl[1], tl[2], tl[3], tl[4], tl[5], tl[6], tl[7]},
+      {tu[0], tu[1], tu[2], tu[3], tu[4], tu[5], tu[6], tu[7]});
+  native_tanh_tester<sycl::half16>(
+      q,
+      {tv[0], tv[1], tv[2], tv[3], tv[4], tv[5], tv[6], tv[7], tv[8], tv[9],
+       tv[10], tv[11], tv[12], tv[13], tv[14], tv[15]},
+      {tl[0], tl[1], tl[2], tl[3], tl[4], tl[5], tl[6], tl[7], tl[8], tl[9],
+       tl[10], tl[11], tl[12], tl[13], tl[14], tl[15]},
+      {tu[0], tu[1], tu[2], tu[3], tu[4], tu[5], tu[6], tu[7], tu[8], tu[9],
+       tu[10], tu[11], tu[12], tu[13], tu[14], tu[15]});
+
+  const sycl::half ev[16] = {-2.0, -1.5, -1.0, 0.0, 2.0, 1.5, 1.0, 0.0,
+                             -2.0, -1.5, -1.0, 0.0, 2.0, 1.5, 1.0, 0.0};
+  const sycl::half el[16] = {0.1, 0.34, 0.4, -0.9, 3.9, 2.7, 1.9, -0.9,
+                             0.1, 0.34, 0.4, -0.9, 3.9, 2.7, 1.9, -0.9};
+  const sycl::half eu[16] = {0.3, 0.36, 0.6, 1.1, 4.1, 2.9, 2.1, 1.1,
+                             0.3, 0.36, 0.6, 1.1, 4.1, 2.9, 2.1, 1.1};
+
+  native_exp2_tester<sycl::half>(q, ev[0], el[0], eu[0]);
+  native_exp2_tester<sycl::half2>(q, {ev[0], ev[1]}, {el[0], el[1]},
+                                  {eu[0], eu[1]});
+  native_exp2_tester<sycl::half3>(q, {ev[0], ev[1], ev[2]},
+                                  {el[0], el[1], el[2]}, {eu[0], eu[1], eu[2]});
+  native_exp2_tester<sycl::half4>(q, {ev[0], ev[1], ev[2], ev[3]},
+                                  {el[0], el[1], el[2], el[3]},
+                                  {eu[0], eu[1], eu[2], eu[3]});
+  native_exp2_tester<sycl::marray<sycl::half, 3>>(
+      q, {ev[0], ev[1], ev[2]}, {el[0], el[1], el[2]}, {eu[0], eu[1], eu[2]});
+  native_exp2_tester<sycl::marray<sycl::half, 4>>(
+      q, {ev[0], ev[1], ev[2], ev[3]}, {el[0], el[1], el[2], el[3]},
+      {eu[0], eu[1], eu[2], eu[3]});
+  native_exp2_tester<sycl::half8>(
+      q, {ev[0], ev[1], ev[2], ev[3], ev[4], ev[5], ev[6], ev[7]},
+      {el[0], el[1], el[2], el[3], el[4], el[5], el[6], el[7]},
+      {eu[0], eu[1], eu[2], eu[3], eu[4], eu[5], eu[6], eu[7]});
+  native_exp2_tester<sycl::half16>(
+      q,
+      {ev[0], ev[1], ev[2], ev[3], ev[4], ev[5], ev[6], ev[7], ev[8], ev[9],
+       ev[10], ev[11], ev[12], ev[13], ev[14], ev[15]},
+      {el[0], el[1], el[2], el[3], el[4], el[5], el[6], el[7], el[8], el[9],
+       el[10], el[11], el[12], el[13], el[14], el[15]},
+      {eu[0], eu[1], eu[2], eu[3], eu[4], eu[5], eu[6], eu[7], eu[8], eu[9],
+       eu[10], eu[11], eu[12], eu[13], eu[14], eu[15]});
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/fast-math-flag.cpp b/sycl/test-e2e/DeviceLib/built-ins/fast-math-flag.cpp
new file mode 100644
index 0000000000000..d90845e58d3e1
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/fast-math-flag.cpp
@@ -0,0 +1,115 @@
+// RUN: %clangxx -fsycl -ffast-math -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T> bool checkEqual(vec<T, 4> A, vec<T, 4> B) {
+
+  return sycl::all(A == B);
+}
+
+template <typename T, size_t N>
+bool checkEqual(marray<T, N> A, marray<T, N> B) {
+  for (int i = 0; i < N; i++) {
+    if (A[i] != B[i]) {
+      return false;
+    }
+  }
+  return true;
+}
+
+#define __TEST_FFMATH_UNARY(func)                                              \
+  template <typename T> void test_ffmath_##func(queue &deviceQueue) {          \
+    T input{1.0004f, 1e-4f, 1.4f, 14.0f};                                      \
+    T res[2] = {{-1, -1, -1, -1}, {-2, -2, -2, -2}};                           \
+    {                                                                          \
+      buffer<T, 1> input_buff(&input, 1);                                      \
+      buffer<T, 1> res_buff(&res[0], sycl::range<1>(2));                       \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor<T, 1, access::mode::write, target::device> res_acc(res_buff,  \
+                                                                    cgh);      \
+        accessor<T, 1, access::mode::read, target::device> input_acc(          \
+            input_buff, cgh);                                                  \
+        cgh.single_task([=]() {                                                \
+          res_acc[0] = sycl::native::func(input_acc[0]);                       \
+          res_acc[1] = sycl::func(input_acc[0]);                               \
+        });                                                                    \
+      });                                                                      \
+    }                                                                          \
+    assert(checkEqual(res[0], res[1]));                                        \
+  }
+
+#define __TEST_FFMATH_BINARY(func)                                             \
+  template <typename T> void test_ffmath_##func(queue &deviceQueue) {          \
+    T input[2] = {{1.0004f, 1e-4f, 1.4f, 14.0f},                               \
+                  {1.0004f, 1e-4f, 1.4f, 14.0f}};                              \
+    T res[2] = {{-1, -1, -1, -1}, {-2, -2, -2, -2}};                           \
+    {                                                                          \
+      buffer<T, 1> input_buff(&input[0], range<1>(2));                         \
+      buffer<T, 1> res_buff(&res[0], range<1>(2));                             \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor<T, 1, access::mode::write, target::device> res_acc(res_buff,  \
+                                                                    cgh);      \
+        accessor<T, 1, access::mode::read, target::device> input_acc(          \
+            input_buff, cgh);                                                  \
+        cgh.single_task([=]() {                                                \
+          res_acc[0] = sycl::native::func(input_acc[0], input_acc[1]);         \
+          res_acc[1] = sycl::func(input_acc[0], input_acc[1]);                 \
+        });                                                                    \
+      });                                                                      \
+    }                                                                          \
+    assert(checkEqual(res[0], res[1]));                                        \
+  }
+
+__TEST_FFMATH_UNARY(cos)
+__TEST_FFMATH_UNARY(exp)
+__TEST_FFMATH_UNARY(exp2)
+__TEST_FFMATH_UNARY(exp10)
+__TEST_FFMATH_UNARY(log)
+__TEST_FFMATH_UNARY(log2)
+__TEST_FFMATH_UNARY(log10)
+__TEST_FFMATH_UNARY(rsqrt)
+__TEST_FFMATH_UNARY(sin)
+__TEST_FFMATH_UNARY(sqrt)
+__TEST_FFMATH_UNARY(tan)
+
+__TEST_FFMATH_BINARY(powr)
+
+int main() {
+
+  queue q;
+  test_ffmath_cos<marray<float, 4>>(q);
+  test_ffmath_exp<marray<float, 4>>(q);
+  test_ffmath_exp2<marray<float, 4>>(q);
+  test_ffmath_exp10<marray<float, 4>>(q);
+  test_ffmath_log<marray<float, 4>>(q);
+  test_ffmath_log2<marray<float, 4>>(q);
+  test_ffmath_log10<marray<float, 4>>(q);
+  test_ffmath_powr<marray<float, 4>>(q);
+  test_ffmath_rsqrt<marray<float, 4>>(q);
+  test_ffmath_sin<marray<float, 4>>(q);
+  test_ffmath_sqrt<marray<float, 4>>(q);
+  test_ffmath_tan<marray<float, 4>>(q);
+  test_ffmath_powr<marray<float, 4>>(q);
+
+  test_ffmath_cos<float4>(q);
+  test_ffmath_exp<float4>(q);
+  test_ffmath_exp2<float4>(q);
+  test_ffmath_exp10<float4>(q);
+  test_ffmath_log<float4>(q);
+  test_ffmath_log2<float4>(q);
+  test_ffmath_log10<float4>(q);
+  test_ffmath_powr<float4>(q);
+  test_ffmath_rsqrt<float4>(q);
+  test_ffmath_sin<float4>(q);
+  test_ffmath_sqrt<float4>(q);
+  test_ffmath_tan<float4>(q);
+  test_ffmath_powr<float4>(q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/ftz-flag.cpp b/sycl/test-e2e/DeviceLib/built-ins/ftz-flag.cpp
new file mode 100644
index 0000000000000..13530cfe1804c
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/ftz-flag.cpp
@@ -0,0 +1,89 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xclang -fdenormal-fp-math-f32="preserve-sign,preserve-sign" %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+
+using namespace sycl;
+
+constexpr float eps = 1e-6;
+
+template <typename T> bool checkClose(T A, T B) { return ((A - B) / A) < eps; }
+
+#define __TEST_FFMATH_UNARY(func)                                              \
+  template <typename T> void test_ffmath_##func(queue &deviceQueue) {          \
+    T input[4] = {1.0004f, 1e-4f, 1.4f, 14.0f};                                \
+    T res[4] = {-1, -1, -1, -1};                                               \
+    {                                                                          \
+      buffer<T> input_buff{input, sycl::range{4}};                             \
+      buffer<T> res_buff{res, sycl::range{4}};                                 \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor res_acc{res_buff, cgh};                                       \
+        accessor input_acc{input_buff, cgh};                                   \
+        cgh.parallel_for(sycl::range{4}, [=](sycl::id<1> idx) {                \
+          res_acc[idx] = sycl::func(input_acc[idx]);                           \
+        });                                                                    \
+      });                                                                      \
+    }                                                                          \
+    for (auto i = 0; i < 4; ++i)                                               \
+      assert(checkClose(res[i], sycl::func(input[i])));                        \
+  }
+
+#define __TEST_FFMATH_BINARY(func)                                             \
+  template <typename T> void test_ffmath_##func(queue &deviceQueue) {          \
+    T input[2][4] = {{1.0004f, 1e-4f, 1.4f, 14.0f},                            \
+                     {1.0004f, 1e-4f, 1.4f, 14.0f}};                           \
+    T res[4] = {-1, -1, -1, -1};                                               \
+    {                                                                          \
+      buffer<T> input1_buff{input[0], sycl::range{4}};                         \
+      buffer<T> input2_buff{input[1], sycl::range{4}};                         \
+      buffer<T> res_buff{res, sycl::range{4}};                                 \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor res_acc{res_buff, cgh};                                       \
+        accessor input1_acc{input1_buff, cgh};                                 \
+        accessor input2_acc{input2_buff, cgh};                                 \
+        cgh.parallel_for(sycl::range{4}, [=](sycl::id<1> idx) {                \
+          res_acc[idx] = sycl::func(input1_acc[idx], input2_acc[idx]);         \
+        });                                                                    \
+      });                                                                      \
+    }                                                                          \
+    for (auto i = 0; i < 4; ++i)                                               \
+      assert(checkClose(res[i], sycl::func(input[0][i], input[1][i])));        \
+  }
+
+__TEST_FFMATH_UNARY(cos)
+__TEST_FFMATH_UNARY(exp)
+__TEST_FFMATH_UNARY(exp2)
+__TEST_FFMATH_UNARY(exp10)
+__TEST_FFMATH_UNARY(log)
+__TEST_FFMATH_UNARY(log2)
+__TEST_FFMATH_UNARY(log10)
+__TEST_FFMATH_UNARY(rsqrt)
+__TEST_FFMATH_UNARY(sin)
+__TEST_FFMATH_UNARY(sqrt)
+__TEST_FFMATH_UNARY(tan)
+
+__TEST_FFMATH_BINARY(powr)
+
+int main() {
+
+  queue q;
+  test_ffmath_cos<float>(q);
+  test_ffmath_exp<float>(q);
+  test_ffmath_exp2<float>(q);
+  test_ffmath_exp10<float>(q);
+  test_ffmath_log<float>(q);
+  test_ffmath_log2<float>(q);
+  test_ffmath_log10<float>(q);
+  test_ffmath_powr<float>(q);
+  test_ffmath_rsqrt<float>(q);
+  test_ffmath_sin<float>(q);
+  test_ffmath_sqrt<float>(q);
+  test_ffmath_tan<float>(q);
+  test_ffmath_powr<float>(q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/marray_relational.cpp b/sycl/test-e2e/DeviceLib/built-ins/marray_relational.cpp
new file mode 100644
index 0000000000000..33fb4b581d3ae
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/marray_relational.cpp
@@ -0,0 +1,58 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <CL/sycl.hpp>
+
+#define TEST(FUNC, TYPE, EXPECTED, N, ...)                                     \
+  {                                                                            \
+    {                                                                          \
+      TYPE result[N];                                                          \
+      {                                                                        \
+        sycl::buffer<TYPE> b(result, sycl::range{N});                          \
+        deviceQueue.submit([&](sycl::handler &cgh) {                           \
+          sycl::accessor res_access{b, cgh};                                   \
+          cgh.single_task([=]() {                                              \
+            sycl::marray<TYPE, N> res = FUNC(__VA_ARGS__);                     \
+            for (int i = 0; i < N; i++)                                        \
+              res_access[i] = res[i];                                          \
+          });                                                                  \
+        });                                                                    \
+      }                                                                        \
+      for (int i = 0; i < N; i++)                                              \
+        assert(result[i] == EXPECTED[i]);                                      \
+    }                                                                          \
+  }
+
+#define EXPECTED(TYPE, ...) ((TYPE[]){__VA_ARGS__})
+
+int main() {
+  sycl::queue deviceQueue;
+
+  sycl::marray<float, 2> ma1{1.0, 2.0};
+  sycl::marray<float, 2> ma2{1.0, 2.0};
+  sycl::marray<float, 2> ma3{2.0, 1.0};
+  sycl::marray<float, 2> ma4{2.0, 2.0};
+  sycl::marray<float, 3> ma5{2.0, 2.0, 1.0};
+  sycl::marray<float, 3> ma6{1.0, 5.0, 8.0};
+  sycl::marray<bool, 3> c(1, 0, 1);
+
+  TEST(sycl::isequal, bool, EXPECTED(bool, 1, 1), 2, ma1, ma2);
+  TEST(sycl::isnotequal, bool, EXPECTED(bool, 0, 0), 2, ma1, ma2);
+  TEST(sycl::isgreater, bool, EXPECTED(bool, 0, 1), 2, ma1, ma3);
+  TEST(sycl::isgreaterequal, bool, EXPECTED(bool, 0, 1), 2, ma1, ma4);
+  TEST(sycl::isless, bool, EXPECTED(bool, 0, 1), 2, ma3, ma1);
+  TEST(sycl::islessequal, bool, EXPECTED(bool, 0, 1), 2, ma4, ma1);
+  TEST(sycl::islessgreater, bool, EXPECTED(bool, 0, 0), 2, ma1, ma2);
+  TEST(sycl::isfinite, bool, EXPECTED(bool, 1, 1), 2, ma1);
+  TEST(sycl::isinf, bool, EXPECTED(bool, 0, 0), 2, ma1);
+  TEST(sycl::isnan, bool, EXPECTED(bool, 0, 0), 2, ma1);
+  TEST(sycl::isnormal, bool, EXPECTED(bool, 1, 1), 2, ma1);
+  TEST(sycl::isordered, bool, EXPECTED(bool, 1, 1), 2, ma1, ma2);
+  TEST(sycl::isunordered, bool, EXPECTED(bool, 0, 0), 2, ma1, ma2);
+  TEST(sycl::signbit, bool, EXPECTED(bool, 0, 0), 2, ma1);
+  TEST(sycl::select, float, EXPECTED(float, 1.0, 2.0, 8.0), 3, ma5, ma6, c);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/nan.cpp b/sycl/test-e2e/DeviceLib/built-ins/nan.cpp
new file mode 100644
index 0000000000000..3cd6ace3d2bf8
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/nan.cpp
@@ -0,0 +1,71 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+namespace s = sycl;
+using namespace std;
+
+template <typename T, typename R, bool Expected = true> void test_nan_call() {
+  static_assert(is_same<decltype(s::nan(T{0})), R>::value == Expected, "");
+}
+
+template <typename, typename> struct test;
+
+template <typename T, typename R> void check_nan(s::queue &Queue) {
+  R Data{0};
+  s::vec<R, 2> VData{0};
+  {
+    s::buffer<R, 1> Buf(&Data, s::range<1>(1));
+    s::buffer<s::vec<R, 2>, 1> VBuf(&VData, s::range<1>(1));
+    Queue.submit([&](s::handler &Cgh) {
+      auto Acc = Buf.template get_access<s::access::mode::write>(Cgh);
+      auto VAcc = VBuf.template get_access<s::access::mode::write>(Cgh);
+      Cgh.single_task<test<T, R>>([=]() {
+        Acc[0] = s::nan(T{0});
+        VAcc[0] = s::nan(s::vec<T, 2>{0});
+      });
+    });
+    Queue.wait_and_throw();
+  }
+  assert(s::isnan(Data));
+  assert(s::all(s::isnan(VData)));
+}
+
+int main() {
+  test_nan_call<unsigned short, s::half>();
+  test_nan_call<unsigned int, float>();
+  test_nan_call<unsigned long, double>();
+  test_nan_call<unsigned long long, double>();
+  test_nan_call<s::ushort2, s::half2>();
+  test_nan_call<s::uint2, s::float2>();
+  test_nan_call<s::ulong2, s::double2>();
+  test_nan_call<s::vec<unsigned long long, 2>, s::double2>();
+
+  s::queue Queue([](sycl::exception_list ExceptionList) {
+    for (std::exception_ptr ExceptionPtr : ExceptionList) {
+      try {
+        std::rethrow_exception(ExceptionPtr);
+      } catch (sycl::exception &E) {
+        std::cerr << E.what() << std::endl;
+      } catch (...) {
+        std::cerr << "Unknown async exception was caught." << std::endl;
+      }
+    }
+  });
+
+  if (Queue.get_device().has(sycl::aspect::fp16))
+    check_nan<unsigned short, s::half>(Queue);
+
+  check_nan<unsigned int, float>(Queue);
+  if (Queue.get_device().has(sycl::aspect::fp64)) {
+    check_nan<unsigned long, double>(Queue);
+    check_nan<unsigned long long, double>(Queue);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/printf.cpp b/sycl/test-e2e/DeviceLib/built-ins/printf.cpp
new file mode 100644
index 0000000000000..36aee3b8f2fb0
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/printf.cpp
@@ -0,0 +1,160 @@
+// UNSUPPORTED: hip
+// HIP doesn't support printf.
+// CUDA doesn't support vector format specifiers ("%v").
+//
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ %s -o %t_nonvar.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_nonvar.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t_nonvar.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t_nonvar.out %ACC_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+#include <cstdint>
+#include <iostream>
+
+using namespace sycl;
+
+// According to OpenCL C spec, the format string must be in constant address
+// space
+#ifdef __SYCL_DEVICE_ONLY__
+#define CONSTANT __attribute__((opencl_constant))
+#else
+#define CONSTANT
+#endif
+
+// This is one of the possible ways to define a format string in a correct
+// address space
+static const CONSTANT char format_hello_world[] = "Hello, World!\n";
+
+// Static isn't really needed if you define it in global scope
+const CONSTANT char format_int[] = "%d\n";
+
+static const CONSTANT char format_vec[] = "%d,%d,%d,%d\n";
+
+const CONSTANT char format_hello_world_2[] = "%lu: Hello, World!\n";
+
+int main() {
+  queue Queue(default_selector_v);
+  {
+    Queue.submit([&](handler &CGH) {
+      CGH.single_task<class integral>([=]() {
+        // String
+        ext::oneapi::experimental::printf(format_hello_world);
+        // Due to a bug in Intel CPU Runtime for OpenCL on Windows, information
+        // printed using such format strings (without %-specifiers) might
+        // appear in different order if output is redirected to a file or
+        // another app
+        // FIXME: strictly check output order once the bug is fixed
+        // CHECK: {{(Hello, World!)?}}
+
+        // Integral types
+        ext::oneapi::experimental::printf(format_int, (int32_t)123);
+        ext::oneapi::experimental::printf(format_int, (int32_t)-123);
+        // CHECK: 123
+        // CHECK-NEXT: -123
+
+        // Vectors
+        sycl::vec<int, 4> v4{5, 6, 7, 8};
+#if defined(__SYCL_DEVICE_ONLY__) && defined(__SPIR__)
+        // On SPIRV devices, vectors can be printed via native OpenCL types:
+        using ocl_int4 = sycl::vec<int, 4>::vector_t;
+        {
+          static const CONSTANT char format[] = "%v4d\n";
+          ext::oneapi::experimental::printf(format, (ocl_int4)v4);
+        }
+
+        // However, you are still able to print them by-element:
+        {
+          ext::oneapi::experimental::printf(format_vec, (int32_t)v4.w(),
+                                            (int32_t)v4.z(), (int32_t)v4.y(),
+                                            (int32_t)v4.x());
+        }
+#else
+        // Otherwise you always have to print them by-element:
+        ext::oneapi::experimental::printf(format_vec, (int32_t)v4.x(),
+                                          (int32_t)v4.y(), (int32_t)v4.z(),
+                                          (int32_t)v4.w());
+        ext::oneapi::experimental::printf(format_vec, (int32_t)v4.w(),
+                                          (int32_t)v4.z(), (int32_t)v4.y(),
+                                          (int32_t)v4.x());
+#endif // __SYCL_DEVICE_ONLY__
+       // CHECK-NEXT: 5,6,7,8
+       // CHECK-NEXT: 8,7,6,5
+
+        // Pointers
+        int a = 5;
+        int *Ptr = &a;
+        // According to OpenCL spec, argument should be a void pointer
+        {
+          static const CONSTANT char format[] = "%p\n";
+          ext::oneapi::experimental::printf(format, (void *)Ptr);
+        }
+        // CHECK-NEXT: {{(0x)?[0-9a-fA-F]+$}}
+      });
+    });
+    Queue.wait();
+  }
+
+#ifndef __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  // Currently printf will promote floating point values to doubles.
+  // __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ changes the behavior to not use
+  // a variadic function, so if it is defined it will not promote the floating
+  // point arguments.
+  if (Queue.get_device().has(sycl::aspect::fp64))
+#endif // __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  {
+    Queue.submit([&](handler &CGH) {
+      CGH.single_task<class floating_points>([=]() {
+        // Floating point types
+        {
+          // You can declare format string in non-global scope, but in this case
+          // static keyword is required
+          static const CONSTANT char format[] = "%.1f\n";
+          ext::oneapi::experimental::printf(format, 33.4f);
+          ext::oneapi::experimental::printf(format, -33.4f);
+        }
+      });
+    });
+    Queue.wait();
+  }
+#ifndef __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  else {
+    std::cout << "Skipped floating point test." << std::endl;
+    std::cout << "Skipped floating point test." << std::endl;
+  }
+#endif // __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  // CHECK-NEXT: {{(33.4|Skipped floating point test.)}}
+  // CHECK-NEXT: {{(-33.4|Skipped floating point test.)}}
+
+  {
+    // printf in parallel_for
+    Queue.submit([&](handler &CGH) {
+      CGH.parallel_for<class stream_string>(range<1>(10), [=](id<1> i) {
+        // cast to uint64_t to be sure that we pass 64-bit unsigned value
+        ext::oneapi::experimental::printf(format_hello_world_2,
+                                          (uint64_t)i.get(0));
+      });
+    });
+    Queue.wait();
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+    // CHECK-NEXT: {{[0-9]+}}: Hello, World!
+  }
+
+  // FIXME: strictly check output order once the bug mentioned above is fixed
+  // CHECK: {{(Hello, World!)?}}
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/scalar_common.cpp b/sycl/test-e2e/DeviceLib/built-ins/scalar_common.cpp
new file mode 100644
index 0000000000000..9104eec4b05ef
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/scalar_common.cpp
@@ -0,0 +1,29 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+namespace s = sycl;
+
+int main() {
+  // max
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxF1F1>(
+            [=]() { AccR[0] = s::max(float{0.5f}, float{2.3f}); });
+      });
+    }
+    assert(r == 2.3f);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/scalar_geometric.cpp b/sycl/test-e2e/DeviceLib/built-ins/scalar_geometric.cpp
new file mode 100644
index 0000000000000..ce8efce2510da
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/scalar_geometric.cpp
@@ -0,0 +1,120 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+namespace s = sycl;
+
+int main() {
+  // dot
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class dotF1F1>(
+            [=]() { AccR[0] = s::dot(float{0.5}, float{1.6}); });
+      });
+    }
+    assert(r == 0.8f);
+  }
+
+  // distance
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class distanceF1>(
+            [=]() { AccR[0] = s::distance(float{1.f}, float{3.f}); });
+      });
+    }
+    assert(r == 2.f);
+  }
+
+  // length
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class lengthF1>(
+            [=]() { AccR[0] = s::length(float{1.f}); });
+      });
+    }
+    assert(r == 1.f);
+  }
+
+  // normalize
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class normalizeF1>(
+            [=]() { AccR[0] = s::normalize(float{2.f}); });
+      });
+    }
+    assert(r == 1.f);
+  }
+
+  // fast_distance
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fast_distanceF1>(
+            [=]() { AccR[0] = s::fast_distance(float{1.f}, float{3.f}); });
+      });
+    }
+    assert(r == 2.f);
+  }
+
+  // fast_length
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fast_lengthF1>(
+            [=]() { AccR[0] = s::fast_length(float{2.f}); });
+      });
+    }
+    assert(r == 2.f);
+  }
+
+  // fast_normalize
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fast_normalizeF1>(
+            [=]() { AccR[0] = s::fast_normalize(float{2.f}); });
+      });
+    }
+
+    assert(r == 1.f);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/scalar_integer.cpp b/sycl/test-e2e/DeviceLib/built-ins/scalar_integer.cpp
new file mode 100644
index 0000000000000..dd3318e1b3d9f
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/scalar_integer.cpp
@@ -0,0 +1,531 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cassert>
+
+namespace s = sycl;
+
+int main() {
+  // max
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxSI1SI1>([=]() { AccR[0] = s::max(5, 2); });
+      });
+    }
+    assert(r == 5);
+  }
+
+  // max
+  {
+    unsigned int r{0};
+    {
+      s::buffer<unsigned int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxUI1UI1>([=]() { AccR[0] = s::max(5u, 2u); });
+      });
+    }
+    assert(r == 5);
+  }
+
+  // min
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minSI1SI1>([=]() { AccR[0] = s::min(5, 2); });
+      });
+    }
+    assert(r == 2);
+  }
+
+  // min (long long)
+  {
+    long long r{0};
+    {
+      s::buffer<long long, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minSLL1SLL1>(
+            [=]() { AccR[0] = s::min(5ll, 2ll); });
+      });
+    }
+    assert(r == 2);
+  }
+
+  // min
+  {
+    unsigned int r{0};
+    {
+      s::buffer<unsigned int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minUI1UI1>([=]() { AccR[0] = s::min(5u, 2u); });
+      });
+    }
+    assert(r == 2);
+  }
+
+  // min (unsigned long long)
+  {
+    unsigned long long r{0};
+    {
+      s::buffer<unsigned long long, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minULL1ULL1>(
+            [=]() { AccR[0] = s::min(5ull, 2ull); });
+      });
+    }
+    assert(r == 2);
+  }
+
+  // abs
+  {
+    unsigned int r{0};
+    {
+      s::buffer<unsigned int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class absSI1>([=]() { AccR[0] = s::abs(-5); });
+      });
+    }
+    assert(r == 5);
+  }
+
+  // abs_diff
+  {
+    unsigned int r{0};
+    {
+      s::buffer<unsigned int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class abs_diffSI1SI1>(
+            [=]() { AccR[0] = s::abs_diff(-5, -1); });
+      });
+    }
+    assert(r == 4);
+  }
+
+  // abs_diff(uchar)
+  {
+    unsigned char r{0};
+    {
+      s::buffer<unsigned char, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class abs_diffUC1UC1>([=]() {
+          AccR[0] = s::abs_diff((unsigned char)3, (unsigned char)250);
+        });
+      });
+    }
+    assert(r == 247);
+  }
+
+  // add_sat
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class add_satSI1SI1>(
+            [=]() { AccR[0] = s::add_sat(0x7FFFFFFF, 100); });
+      });
+    }
+    assert(r == 0x7FFFFFFF);
+  }
+
+  // hadd
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class haddSI1SI1>(
+            [=]() { AccR[0] = s::hadd(0x0000007F, 0x00000020); });
+      });
+    }
+    assert(r == 0x0000004F);
+  }
+
+  // rhadd
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class rhaddSI1SI1>(
+            [=]() { AccR[0] = s::rhadd(0x0000007F, 0x00000020); });
+      });
+    }
+    assert(r == 0x50);
+  }
+
+  // clamp
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class clampSI1SI1SI1>(
+            [=]() { AccR[0] = s::clamp(5, 10, 30); });
+      });
+    }
+    assert(r == 10);
+  }
+
+  // clz
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class clzSI1>([=]() { AccR[0] = s::clz(0x0FFFFFFF); });
+      });
+    }
+    assert(r == 4);
+  }
+
+  // ctz
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class ctzSI1>(
+            [=]() { AccR[0] = s::intel::ctz(0x7FFFFFF0); });
+      });
+    }
+    assert(r == 4);
+  }
+
+  // mad_hi
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mad_hiSI1SI1SI1>([=]() {
+          AccR[0] = s::mad_hi(0x10000000, 0x00000100, 0x00000001);
+        }); // 2^28 * 2^8 = 2^36 -> 0x10 00000000.
+      });
+    }
+    assert(r == 0x11);
+  }
+
+  // mad_sat
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mad_satSI1SI1SI1>([=]() {
+          AccR[0] = s::mad_sat(0x10000000, 0x00000100, 0x00000001);
+        }); // 2^31 * 2^8 = 2^39 -> 0x80 00000000 -> reuslt is saturated in the
+            // product.
+      });
+    }
+    assert(r == 0x7FFFFFFF);
+  }
+
+  // mad_sat test two
+  {
+    char r(0);
+    char exp(120);
+    {
+      sycl::buffer<char, 1> buf(&r, sycl::range<1>(1));
+      sycl::queue q;
+      q.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::write>(cgh);
+        cgh.single_task<class kernel>([=]() {
+          signed char inputData_0(-17);
+          signed char inputData_1(-10);
+          signed char inputData_2(-50);
+          acc[0] = sycl::mad_sat(inputData_0, inputData_1, inputData_2);
+        });
+      });
+    }
+    assert(r == exp); // Should return the real number of i0*i1+i2 in CPU
+                      // Only fails in vector, but passes in scalar.
+  }
+
+  // mul_hi
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mul_hiSI1SI1>([=]() {
+          AccR[0] = s::mul_hi(0x10000000, 0x00000100);
+        }); // 2^28 * 2^8 = 2^36 -> 0x10 00000000.
+      });
+    }
+    assert(r == 0x10);
+  }
+
+  // mul_hi with negative result w/ carry
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mul_hiSI1SI2>([=]() {
+          AccR[0] = s::mul_hi(-0x10000000, 0x00000100);
+        }); // -2^28 * 2^8 = -2^36 -> -0x10 (FFFFFFF0) 00000000.
+      });
+    }
+    assert(r == -0x10);
+  }
+
+  // mul_hi with negative result w/o carry
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mul_hiSI1SI3>([=]() {
+          AccR[0] = s::mul_hi(-0x10000000, 0x00000101);
+        }); // -2^28 * (2^8 + 1) = -2^36 - 2^28 -> -0x11 (FFFFFFEF) -0x10000000
+            // (F0000000).
+      });
+    }
+    assert(r == -0x11);
+  }
+
+  // rotate
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class rotateSI1SI1>(
+            [=]() { AccR[0] = s::rotate(0x11100000, 12); });
+      });
+    }
+    assert(r == 0x00000111);
+  }
+
+  // rotate (with large rotate size)
+  {
+    char r{0};
+    {
+      s::buffer<char, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class rotateSI1SI2>(
+            [=]() { AccR[0] = s::rotate((char)0xe0, (char)50); });
+      });
+    }
+    assert((unsigned char)r == 0x83);
+  }
+  // sub_sat
+  {
+    auto TestSubSat = [](int x, int y) {
+      int r{0};
+      {
+        s::buffer<int, 1> BufR(&r, s::range<1>(1));
+        s::queue myQueue;
+        myQueue.submit([&](s::handler &cgh) {
+          auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+          cgh.single_task<class sub_satSI1SI1>(
+              [=]() { AccR[0] = s::sub_sat(x, y); });
+        });
+      }
+      return r;
+    };
+    // 10 - (-2^31(minimum value)) = saturates on Maximum value
+    int r1 = TestSubSat(10, 0x80000000);
+    assert(r1 == 0x7FFFFFFF);
+    int r2 = TestSubSat(0x7FFFFFFF, 0xFFFFFFFF);
+    assert(r2 == 0x7FFFFFFF);
+    int r3 = TestSubSat(0x80000000, 0x00000001);
+    assert(r3 == 0x80000000);
+    int r4 = TestSubSat(10499, 30678);
+    assert(r4 == -20179);
+  }
+
+  // upsample - 1
+  {
+    unsigned short r{0};
+    {
+      s::buffer<unsigned short, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleUC1UC1>([=]() {
+          AccR[0] = s::upsample((unsigned char)0x10, (unsigned char)0x10);
+        });
+      });
+    }
+    assert(r == 0x1010);
+  }
+
+  // upsample - 2
+  {
+    short r{0};
+    {
+      s::buffer<short, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleSC1UC1>(
+            [=]() { AccR[0] = s::upsample((char)0x10, (unsigned char)0x10); });
+      });
+    }
+    assert(r == 0x1010);
+  }
+
+  // upsample - 3
+  {
+    unsigned int r{0};
+    {
+      s::buffer<unsigned int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleUS1US1>([=]() {
+          AccR[0] = s::upsample((unsigned short)0x0010, (unsigned short)0x0010);
+        });
+      });
+    }
+    assert(r == 0x00100010);
+  }
+
+  // upsample - 4
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleSS1US1>([=]() {
+          AccR[0] = s::upsample((short)0x0010, (unsigned short)0x0010);
+        });
+      });
+    }
+    assert(r == 0x00100010);
+  }
+
+  // upsample - 5
+  {
+    unsigned long long r{0};
+    {
+      s::buffer<unsigned long long, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleUI1UI1>(
+            [=]() { AccR[0] = s::upsample(0x00000010u, 0x00000010u); });
+      });
+    }
+    assert(r == 0x0000001000000010);
+  }
+
+  // upsample - 6
+  {
+    long long r{0};
+    {
+      s::buffer<long long, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleSI1UI1>(
+            [=]() { AccR[0] = s::upsample(0x00000010, 0x00000010u); });
+      });
+    }
+    assert(r == 0x0000001000000010);
+  }
+
+  // popcount
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class popcountSI1>(
+            [=]() { AccR[0] = s::popcount(0x000000FF); });
+      });
+    }
+    assert(r == 8);
+  }
+
+  // mad24
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mad24SI1SI1SI1>(
+            [=]() { AccR[0] = s::mad24((int)0xFFFFFFFF, (int)20, (int)20); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // mul24
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mul24SI1SI1>(
+            [=]() { AccR[0] = s::mul24((int)0xFFFFFFFF, (int)20); });
+      });
+    }
+    assert(r == -20);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/scalar_math.cpp b/sycl/test-e2e/DeviceLib/built-ins/scalar_math.cpp
new file mode 100644
index 0000000000000..841881a83c61e
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/scalar_math.cpp
@@ -0,0 +1,365 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cassert>
+#include <cmath>
+
+namespace s = sycl;
+
+int main() {
+  // acos
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class acosF1>([=]() { AccR[0] = s::acos(float{0.5}); });
+      });
+    }
+    assert(r > 1.047f && r < 1.048f); // ~1.0471975511965979
+  }
+
+  // acosh
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class acoshF1>(
+            [=]() { AccR[0] = s::acosh(float{2.4}); });
+      });
+    }
+    assert(r > 1.522f && r < 1.523f); // ~1.5220793674636532
+  }
+
+  // asin
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class asinF1>([=]() { AccR[0] = s::asin(float{0.5}); });
+      });
+    }
+    assert(r > 0.523f && r < 0.524f); // ~0.5235987755982989
+  }
+
+  // asinh
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class asinhF1>(
+            [=]() { AccR[0] = s::asinh(float{0.5}); });
+      });
+    }
+    assert(r > 0.481f && r < 0.482f); // ~0.48121182505960347
+  }
+
+  // atan
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class atanF1>([=]() { AccR[0] = s::atan(float{0.5}); });
+      });
+    }
+    assert(r > 0.463f && r < 0.464f); // ~0.4636476090008061
+  }
+
+  // atanh
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class atanhF1>(
+            [=]() { AccR[0] = s::atanh(float{0.5}); });
+      });
+    }
+    assert(r > 0.549f && r < 0.550f); // ~0.5493061443340549
+  }
+
+  // cbrt
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class cbrtF1>(
+            [=]() { AccR[0] = s::cbrt(float{27.0}); });
+      });
+    }
+    assert(r == 3.f);
+  }
+
+  // ceil
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class ceilF1>([=]() { AccR[0] = s::ceil(float{0.5}); });
+      });
+    }
+    assert(r == 1.f);
+  }
+
+  // cos
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class cosF1>([=]() { AccR[0] = s::cos(float{0.5}); });
+      });
+    }
+    assert(r > 0.877f && r < 0.878f); // ~0.8775825618903728
+  }
+
+  // cosh
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class coshF1>([=]() { AccR[0] = s::cosh(float{0.5}); });
+      });
+    }
+    assert(r > 1.127f && r < 1.128f); // ~1.1276259652063807
+  }
+
+  // cospi
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class cospiF1>(
+            [=]() { AccR[0] = s::cospi(float{0.1}); });
+      });
+    }
+    assert(r > 0.951f && r < 0.952f); // ~0.9510565162951535
+  }
+
+  // erfc
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class erfcF1>([=]() { AccR[0] = s::erfc(float{0.5}); });
+      });
+    }
+    assert(r > 0.479f && r < 0.480f); // ~0.4795001221869535
+  }
+
+  // erf
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class erfF1>([=]() { AccR[0] = s::erf(float{0.5}); });
+      });
+    }
+    assert(r > 0.520f && r < 0.521f); // ~0.5204998778130465
+  }
+
+  // exp
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class expF1>([=]() { AccR[0] = s::exp(float{0.5}); });
+      });
+    }
+    assert(r > 1.648f && r < 1.649f); // ~1.6487212707001282
+  }
+
+  // exp2
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class exp2F1>([=]() { AccR[0] = s::exp2(float{8.0}); });
+      });
+    }
+    assert(r == 256.0f);
+  }
+
+  // exp10
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class exp10F1>([=]() { AccR[0] = s::exp10(float{2}); });
+      });
+    }
+    assert(r == 100.0f);
+  }
+
+  // expm1
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class expm1F1>(
+            [=]() { AccR[0] = s::expm1(float{0.5}); });
+      });
+    }
+    assert(r > 0.648f && r < 0.649f); // ~0.6487212707001282
+  }
+
+  // fabs
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fabsF1>(
+            [=]() { AccR[0] = s::fabs(float{-0.5}); });
+      });
+    }
+    assert(r == 0.5f);
+  }
+
+  // floor
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class floorF1>(
+            [=]() { AccR[0] = s::floor(float{0.5}); });
+      });
+    }
+    assert(r == 0.f);
+  }
+
+  // fmax
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fmaxF1F1>(
+            [=]() { AccR[0] = s::fmax(float{0.5}, float{0.8}); });
+      });
+    }
+    assert(r == 0.8f);
+  }
+
+  // fmin
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fminF1F1>(
+            [=]() { AccR[0] = s::fmin(float{0.5}, float{0.8}); });
+      });
+    }
+    assert(r == 0.5f);
+  }
+
+  // fmod
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fmodF1F1>(
+            [=]() { AccR[0] = s::fmod(float{5.1}, float{3.0}); });
+      });
+    }
+    assert(r == 2.1f);
+  }
+
+  // lgamma with private memory
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class lgammaF1>(
+            [=]() { AccR[0] = s::lgamma(float{10.f}); });
+      });
+    }
+    assert(r > 12.8017f && r < 12.8019f); // ~12.8018
+  }
+
+  // lgamma with private memory
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class lgammaF1_neg>(
+            [=]() { AccR[0] = s::lgamma(float{-2.4f}); });
+      });
+    }
+    assert(r > 0.1024f && r < 0.1026f); // ~0.102583
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/scalar_math_2.cpp b/sycl/test-e2e/DeviceLib/built-ins/scalar_math_2.cpp
new file mode 100644
index 0000000000000..d84c431793b99
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/scalar_math_2.cpp
@@ -0,0 +1,231 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cassert>
+#include <cmath>
+
+namespace s = sycl;
+
+int main() {
+
+  // acospi
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class acospiF1>(
+            [=]() { AccR[0] = s::acospi(float{0.5}); });
+      });
+    }
+    assert(r > 0.333f && r < 0.334f); // ~0.33333333333333337
+  }
+
+  // asinpi
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class asinpiF1>(
+            [=]() { AccR[0] = s::asinpi(float{0.5}); });
+      });
+    }
+    assert(r > 0.166f && r < 0.167f); // ~0.16666666666666669
+  }
+
+  // atan2
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class atan2F1F1>(
+            [=]() { AccR[0] = s::atan2(float{0.5}, float{0.5}); });
+      });
+    }
+    assert(r > 0.785f && r < 0.786f); // ~0.7853981633974483
+  }
+
+  // atanpi
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class atanpiF1>(
+            [=]() { AccR[0] = s::atanpi(float{0.5}); });
+      });
+    }
+    assert(r > 0.147f && r < 0.148f); // ~0.14758361765043326
+  }
+
+  // atan2pi
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class atan2piF1F1>(
+            [=]() { AccR[0] = s::atan2pi(float{0.5}, float{0.5}); });
+      });
+    }
+    assert(r > 0.249f && r < 0.251f); // ~0.25
+  }
+
+  // copysign
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class copysignF1F1>(
+            [=]() { AccR[0] = s::copysign(float{1}, float{-0.5}); });
+      });
+    }
+    assert(r == -1.f);
+  }
+
+  // fdim
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fdimF1F1>(
+            [=]() { AccR[0] = s::fdim(float{1.6}, float{0.6}); });
+      });
+    }
+    assert(r == 1.0f);
+  }
+
+  // fma
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fmaF1F1F1>(
+            [=]() { AccR[0] = s::fma(float{0.5}, float{10.0}, float{3.0}); });
+      });
+    }
+    assert(r == 8.0f);
+  }
+
+  // fract with global memory
+  {
+    float r{0};
+    float i{999};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::buffer<float, 1> BufI(&i, s::range<1>(1),
+                               {s::property::buffer::use_host_ptr()});
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class fractF1GF1>([=]() {
+          s::global_ptr<float> Iptr(AccI);
+          AccR[0] = s::fract(float{1.5}, Iptr);
+        });
+      });
+    }
+    assert(r == 0.5f);
+    assert(i == 1.0f);
+  }
+
+  // fract with private memory
+  {
+    float r{0};
+    float i{999};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::buffer<float, 1> BufI(&i, s::range<1>(1),
+                               {s::property::buffer::use_host_ptr()});
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class fractF1PF1>([=]() {
+          float temp(0.0);
+          s::private_ptr<float> Iptr(&temp);
+          AccR[0] = s::fract(float{1.5f}, Iptr);
+          AccI[0] = *Iptr;
+        });
+      });
+    }
+    assert(r == 0.5f);
+    assert(i == 1.0f);
+  }
+
+  // lgamma_r with private memory
+  {
+    float r{0};
+    int i{999};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::buffer<int, 1> BufI(&i, s::range<1>(1),
+                             {s::property::buffer::use_host_ptr()});
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class lgamma_rF1PI1>([=]() {
+          int temp(0.0);
+          s::private_ptr<int> Iptr(&temp);
+          AccR[0] = s::lgamma_r(float{10.f}, Iptr);
+          AccI[0] = *Iptr;
+        });
+      });
+    }
+    assert(r > 12.8017f && r < 12.8019f); // ~12.8018
+    assert(i == 1);                       // tgamma of 10 is ~362880.0
+  }
+
+  // lgamma_r with private memory
+  {
+    float r{0};
+    int i{999};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::buffer<int, 1> BufI(&i, s::range<1>(1),
+                             {s::property::buffer::use_host_ptr()});
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class lgamma_rF1PI1_neg>([=]() {
+          int temp(0.0);
+          s::private_ptr<int> Iptr(&temp);
+          AccR[0] = s::lgamma_r(float{-2.4f}, Iptr);
+          AccI[0] = *Iptr;
+        });
+      });
+    }
+    assert(r > 0.1024f && r < 0.1026f); // ~0.102583
+    assert(i == -1); // tgamma of -2.4 is ~-1.1080299470333461
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/scalar_relational.cpp b/sycl/test-e2e/DeviceLib/built-ins/scalar_relational.cpp
new file mode 100644
index 0000000000000..3b6d461be31f3
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/scalar_relational.cpp
@@ -0,0 +1,398 @@
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cmath>
+
+namespace s = sycl;
+
+int main() {
+  s::queue myQueue;
+
+  // isequal-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isequalF1F1>(
+            [=]() { AccR[0] = s::isequal(float{10.5f}, float{10.5f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // isnotequal-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnotequalF1F1>(
+            [=]() { AccR[0] = s::isnotequal(float{0.4f}, float{0.5f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // isgreater-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isgreaterF1F1>(
+            [=]() { AccR[0] = s::isgreater(float{0.6f}, float{0.5f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // isgreaterequal-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isgreaterequalF1F1>(
+            [=]() { AccR[0] = s::isgreaterequal(float{0.5f}, float{0.5f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // isless-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class islessF1F1>(
+            [=]() { AccR[0] = s::isless(float{0.4f}, float{0.5f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // islessequal-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class islessequalF1F1>(
+            [=]() { AccR[0] = s::islessequal(float{0.5f}, float{0.5f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // islessgreater-float
+  {
+    int r{1};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class islessgreaterF1F1>(
+            [=]() { AccR[0] = s::islessgreater(float{0.5f}, float{0.5f}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // isfinite-float
+  {
+    int r{1};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isfiniteF1>(
+            [=]() { AccR[0] = s::isfinite(float{NAN}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // isinf-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isinfF1>(
+            [=]() { AccR[0] = s::isinf(float{INFINITY}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // isnan-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnanF1>(
+            [=]() { AccR[0] = s::isnan(float{NAN}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // isnormal-float
+  {
+    int r{1};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnormalF1>(
+            [=]() { AccR[0] = s::isnormal(float{INFINITY}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // isnormal-double
+  if (myQueue.get_device().has(sycl::aspect::fp64)) {
+    int r{1};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnormalD1>(
+            [=]() { AccR[0] = s::isnormal(double{INFINITY}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // isordered-float
+  {
+    int r{1};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isorderedF1F1>(
+            [=]() { AccR[0] = s::isordered(float{4.0f}, float{NAN}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // isunordered-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isunorderedF1F1>(
+            [=]() { AccR[0] = s::isunordered(float{4.0f}, float{NAN}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // signbit-float
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class signbitF1>(
+            [=]() { AccR[0] = s::signbit(float{-12.0f}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // any-integer
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyF1positive>(
+            [=]() { AccR[0] = s::any(int{12}); });
+      });
+    }
+    assert(r == 0);
+  }
+  // any-integer
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyF1zero>([=]() { AccR[0] = s::any(int{0}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // any-integer
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyF1negative>(
+            [=]() { AccR[0] = s::any(int{-12}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // all-integer
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allF1positive>(
+            [=]() { AccR[0] = s::all(int{12}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // all-integer
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allF1zero>([=]() { AccR[0] = s::all(int{0}); });
+      });
+    }
+    assert(r == 0);
+  }
+
+  // all-integer
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allF1negative>(
+            [=]() { AccR[0] = s::all(int{-12}); });
+      });
+    }
+    assert(r == 1);
+  }
+
+  // bitselect-float
+  {
+    float r{0.0f};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class bitselectF1F1F1>([=]() {
+          AccR[0] = s::bitselect(float{112.112}, float{34.34}, float{3.3});
+        });
+      });
+    }
+    assert(r <= 80.5478 && r >= 80.5476); // r = 80.5477
+  }
+
+  // select-float,int
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectF1F1I1positive>([=]() {
+          AccR[0] = s::select(float{34.34}, float{123.123}, int{1});
+        });
+      });
+    }
+    assert(r <= 123.124 && r >= 123.122); // r = 123.123
+  }
+
+  // select-float,int
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectF1F1I1zero>([=]() {
+          AccR[0] = s::select(float{34.34}, float{123.123}, int{0});
+        });
+      });
+    }
+    assert(r <= 34.35 && r >= 34.33); // r = 34.34
+  }
+
+  // select-float,int
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectF1F1I1negative>([=]() {
+          AccR[0] = s::select(float{34.34}, float{123.123}, int{-1});
+        });
+      });
+    }
+    assert(r <= 123.124 && r >= 123.122); // r = 123.123
+  }
+
+  // select-float,bool
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectF1F1B1true>(
+            [=]() { AccR[0] = s::select(34.34f, 123.123f, true); });
+      });
+    }
+    assert(r <= 123.124 && r >= 123.122); // r = 123.123
+  }
+
+  // select-float,bool
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectF1F1B1false>(
+            [=]() { AccR[0] = s::select(34.34f, 123.123f, false); });
+      });
+    }
+    assert(r <= 34.35 && r >= 34.33); // r = 34.34
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/vector_common.cpp b/sycl/test-e2e/DeviceLib/built-ins/vector_common.cpp
new file mode 100644
index 0000000000000..611c605bc5644
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/vector_common.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+namespace s = sycl;
+
+int main() {
+  // max
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxF2F2>([=]() {
+          AccR[0] = s::max(s::float2{0.5f, 3.4f}, s::float2{2.3f, 0.4f});
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    assert(r1 == 2.3f);
+    assert(r2 == 3.4f);
+  }
+
+  // max
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxF2F1>([=]() {
+          AccR[0] = s::max(s::float2{0.5f, 3.4f}, float{3.0f});
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    assert(r1 == 3.0f);
+    assert(r2 == 3.4f);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/vector_geometric.cpp b/sycl/test-e2e/DeviceLib/built-ins/vector_geometric.cpp
new file mode 100644
index 0000000000000..306b91aa5f5e5
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/vector_geometric.cpp
@@ -0,0 +1,239 @@
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cmath>
+
+namespace s = sycl;
+
+template <typename T> bool isEqualTo(T x, T y, T epsilon = 0.005) {
+  return std::fabs(x - y) <= epsilon;
+}
+
+int main() {
+  s::queue myQueue;
+
+  // dot
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class dotF2F2>([=]() {
+          AccR[0] = s::dot(
+              s::float2{
+                  1.f,
+                  2.f,
+              },
+              s::float2{4.f, 6.f});
+        });
+      });
+    }
+    assert(r == 16.f);
+  }
+
+  // cross (float)
+  {
+    s::float4 r{0};
+    {
+      s::buffer<s::float4, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class crossF4>([=]() {
+          AccR[0] = s::cross(
+              s::float4{
+                  2.f,
+                  3.f,
+                  4.f,
+                  0.f,
+              },
+              s::float4{
+                  5.f,
+                  6.f,
+                  7.f,
+                  0.f,
+              });
+        });
+      });
+    }
+
+    float r1 = r.x();
+    float r2 = r.y();
+    float r3 = r.z();
+    float r4 = r.w();
+
+    assert(r1 == -3.f);
+    assert(r2 == 6.f);
+    assert(r3 == -3.f);
+    assert(r4 == 0.0f);
+  }
+
+  // cross (double)
+  if (myQueue.get_device().has(sycl::aspect::fp64)) {
+    s::double4 r{0};
+    {
+      s::buffer<s::double4, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class crossD4>([=]() {
+          AccR[0] = s::cross(
+              s::double4{
+                  2.5,
+                  3.0,
+                  4.0,
+                  0.0,
+              },
+              s::double4{
+                  5.2,
+                  6.0,
+                  7.0,
+                  0.0,
+              });
+        });
+      });
+    }
+
+    double r1 = r.x();
+    double r2 = r.y();
+    double r3 = r.z();
+    double r4 = r.w();
+
+    assert(isEqualTo<double>(r1, -3.0));
+    assert(isEqualTo<double>(r2, 3.3));
+    assert(isEqualTo<double>(r3, -0.6));
+    assert(isEqualTo<double>(r4, 0.0));
+  }
+
+  // distance
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class distanceF2>([=]() {
+          AccR[0] = s::distance(
+              s::float2{
+                  1.f,
+                  2.f,
+              },
+              s::float2{
+                  3.f,
+                  4.f,
+              });
+        });
+      });
+    }
+    assert(isEqualTo<float>(r, 2.82843f));
+  }
+
+  // length
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class lengthF2>([=]() {
+          AccR[0] = s::length(s::float2{
+              1.f,
+              2.f,
+          });
+        });
+      });
+    }
+    assert(isEqualTo<float>(r, 2.23607f));
+  }
+
+  // normalize
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class normalizeF2>([=]() {
+          AccR[0] = s::normalize(s::float2{
+              1.f,
+              2.f,
+          });
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+
+    assert(isEqualTo<float>(r1, 0.447214f));
+    assert(isEqualTo<float>(r2, 0.894427f));
+  }
+
+  // fast_distance
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fast_distanceF2>([=]() {
+          AccR[0] = s::fast_distance(
+              s::float2{
+                  1.f,
+                  2.f,
+              },
+              s::float2{
+                  3.f,
+                  4.f,
+              });
+        });
+      });
+    }
+    assert(isEqualTo<float>(r, 2.82843f));
+  }
+
+  // fast_length
+  {
+    float r{0};
+    {
+      s::buffer<float, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fast_lengthF2>([=]() {
+          AccR[0] = s::fast_length(s::float2{
+              1.f,
+              2.f,
+          });
+        });
+      });
+    }
+    assert(isEqualTo<float>(r, 2.23607f));
+  }
+
+  // fast_normalize
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fast_normalizeF2>([=]() {
+          AccR[0] = s::fast_normalize(s::float2{
+              1.f,
+              2.f,
+          });
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+
+    assert(isEqualTo<float>(r1, 0.447144));
+    assert(isEqualTo<float>(r2, 0.894287));
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/vector_integer.cpp b/sycl/test-e2e/DeviceLib/built-ins/vector_integer.cpp
new file mode 100644
index 0000000000000..2edb245ad4c7c
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/vector_integer.cpp
@@ -0,0 +1,690 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cassert>
+
+namespace s = sycl;
+
+int main() {
+  // max
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxSI2SI2>([=]() {
+          AccR[0] = s::max(s::int2{5, 3}, s::int2{2, 7});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 7);
+  }
+
+  // max
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxUI2UI2>([=]() {
+          AccR[0] = s::max(s::uint2{5, 3}, s::uint2{2, 7});
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 7);
+  }
+
+  // max
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxSI2SI1>([=]() {
+          AccR[0] = s::max(s::int2{5, 3}, int{2});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 3);
+  }
+
+  // max (longlong2)
+  {
+    using longlong2 = s::vec<long long, 2>;
+    longlong2 r{0};
+    {
+      s::buffer<longlong2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxSLL2SLL1>([=]() {
+          AccR[0] = s::max(longlong2{5, 3}, 2ll);
+        });
+      });
+    }
+    long long r1 = r.x();
+    long long r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 3);
+  }
+
+  // max
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxUI2UI1>([=]() {
+          AccR[0] = s::max(s::uint2{5, 3}, 2u);
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 3);
+  }
+
+  // max (ulonglong2)
+  {
+    using ulonglong2 = s::vec<unsigned long long, 2>;
+    ulonglong2 r{0};
+    {
+      s::buffer<ulonglong2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class maxULL2ULL1>([=]() {
+          AccR[0] = s::max(ulonglong2{5, 3}, 2ull);
+        });
+      });
+    }
+    unsigned long long r1 = r.x();
+    unsigned long long r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 3);
+  }
+
+  // min
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minSI2SI2>([=]() {
+          AccR[0] = s::min(s::int2{5, 3}, s::int2{2, 7});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 2);
+    assert(r2 == 3);
+  }
+
+  // min
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minUI2UI2>([=]() {
+          AccR[0] = s::min(s::uint2{5, 3}, s::uint2{2, 7});
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 2);
+    assert(r2 == 3);
+  }
+
+  // min
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minSI2SI1>([=]() {
+          AccR[0] = s::min(s::int2{5, 3}, int{2});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 2);
+    assert(r2 == 2);
+  }
+
+  // min
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class minUI2UI1>([=]() {
+          AccR[0] = s::min(s::uint2{5, 3}, 2u);
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 2);
+    assert(r2 == 2);
+  }
+
+  // abs
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class absSI2>([=]() {
+          AccR[0] = s::abs(s::int2{-5, -2});
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 2);
+  }
+
+  // abs (longlong)
+  {
+    using ulonglong2 = s::vec<unsigned long long, 2>;
+    using longlong2 = s::vec<long long, 2>;
+    ulonglong2 r{0};
+    {
+      s::buffer<ulonglong2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class absSL2>([=]() {
+          AccR[0] = s::abs(longlong2{-5, -2});
+        });
+      });
+    }
+    unsigned long long r1 = r.x();
+    unsigned long long r2 = r.y();
+    assert(r1 == 5);
+    assert(r2 == 2);
+  }
+
+  // abs_diff
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class abs_diffSI2SI2>([=]() {
+          AccR[0] = s::abs_diff(s::int2{-5, -2}, s::int2{-1, -1});
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 4);
+    assert(r2 == 1);
+  }
+
+  // add_sat
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class add_satSI2SI2>([=]() {
+          AccR[0] =
+              s::add_sat(s::int2{0x7FFFFFFF, 0x7FFFFFFF}, s::int2{100, 90});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x7FFFFFFF);
+    assert(r2 == 0x7FFFFFFF);
+  }
+
+  // hadd
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class haddSI2SI2>([=]() {
+          AccR[0] = s::hadd(s::int2{0x0000007F, 0x0000007F},
+                            s::int2{0x00000020, 0x00000020});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x0000004F);
+    assert(r2 == 0x0000004F);
+  }
+
+  // rhadd
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class rhaddSI2SI2>([=]() {
+          AccR[0] = s::rhadd(s::int2{0x0000007F, 0x0000007F},
+                             s::int2{0x00000020, 0x00000020});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x00000050);
+    assert(r2 == 0x00000050);
+  }
+
+  // clamp - 1
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class clampSI2SI2SI2>([=]() {
+          AccR[0] = s::clamp(s::int2{5, 5}, s::int2{10, 10}, s::int2{30, 30});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 10);
+    assert(r2 == 10);
+  }
+
+  // clamp - 2
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class clampSI2SI1SI1>([=]() {
+          AccR[0] = s::clamp(s::int2{5, 5}, int{10}, int{30});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 10);
+    assert(r2 == 10);
+  }
+
+  // clz
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class clzSI2>([=]() {
+          AccR[0] = s::clz(s::int2{0x0FFFFFFF, 0x0FFFFFFF});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 4);
+    assert(r2 == 4);
+  }
+
+  // ctz
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class ctzSI2>([=]() {
+          AccR[0] = s::intel::ctz(s::int2{0x7FFFFFF0, 0x7FFFFFF0});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 4);
+    assert(r2 == 4);
+  }
+
+  // mad_hi
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mad_hiSI2SI2SI2>([=]() {
+          AccR[0] = s::mad_hi(s::int2{0x10000000, 0x10000000},
+                              s::int2{0x00000100, 0x00000100}, s::int2{1, 1});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x11);
+    assert(r2 == 0x11);
+  }
+
+  // mad_sat
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mad_satSI2SI2SI2>([=]() {
+          AccR[0] = s::mad_sat(s::int2{0x10000000, 0x10000000},
+                               s::int2{0x00000100, 0x00000100}, s::int2{1, 1});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x7FFFFFFF);
+    assert(r2 == 0x7FFFFFFF);
+  }
+
+  // mul_hi
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mul_hiSI2SI2>([=]() {
+          AccR[0] = s::mul_hi(s::int2{0x10000000, 0x10000000},
+                              s::int2{0x00000100, 0x00000100});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x10);
+    assert(r2 == 0x10);
+  }
+
+  // rotate
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class rotateSI2SI2>([=]() {
+          AccR[0] = s::rotate(s::int2{0x11100000, 0x11100000}, s::int2{12, 12});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x00000111);
+    assert(r2 == 0x00000111);
+  }
+
+  // sub_sat
+  {
+    auto TestSubSat = [](s::int2 x, s::int2 y) {
+      s::int2 r{0};
+      {
+        s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+        s::queue myQueue;
+        myQueue.submit([&](s::handler &cgh) {
+          auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+          cgh.single_task<class sub_satSI2SI2>(
+              [=]() { AccR[0] = s::sub_sat(x, y); });
+        });
+      }
+      return r;
+    };
+    s::int2 r1 = TestSubSat(s::int2{10, 10}, s::int2{0x80000000, 0x80000000});
+    int r1x = r1.x();
+    int r1y = r1.y();
+    assert(r1x == 0x7FFFFFFF);
+    assert(r1y == 0x7FFFFFFF);
+    s::int2 r2 = TestSubSat(s::int2{0x7FFFFFFF, 0x80000000},
+                            s::int2{0xFFFFFFFF, 0x00000001});
+    int r2x = r2.x();
+    int r2y = r2.y();
+    assert(r2x == 0x7FFFFFFF);
+    assert(r2y == 0x80000000);
+    s::int2 r3 = TestSubSat(s::int2{10499, 30678}, s::int2{30678, 10499});
+    int r3x = r3.x();
+    int r3y = r3.y();
+    assert(r3x == -20179);
+    assert(r3y == 20179);
+  }
+
+  // upsample - 1
+  {
+    s::ushort2 r{0};
+    {
+      s::buffer<s::ushort2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleUC2UC2>([=]() {
+          AccR[0] = s::upsample(s::uchar2{0x10, 0x10}, s::uchar2{0x10, 0x10});
+        });
+      });
+    }
+    unsigned short r1 = r.x();
+    unsigned short r2 = r.y();
+    assert(r1 == 0x1010);
+    assert(r2 == 0x1010);
+  }
+
+  // upsample - 2
+  {
+    s::short2 r{0};
+    {
+      s::buffer<s::short2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleSC2UC2>([=]() {
+          AccR[0] = s::upsample(s::char2{0x10, 0x10}, s::uchar2{0x10, 0x10});
+        });
+      });
+    }
+    short r1 = r.x();
+    short r2 = r.y();
+    assert(r1 == 0x1010);
+    assert(r2 == 0x1010);
+  }
+
+  // upsample - 3
+  {
+    s::uint2 r{0};
+    {
+      s::buffer<s::uint2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleUS2US2>([=]() {
+          AccR[0] = s::upsample(s::ushort2{0x0010, 0x0010},
+                                s::ushort2{0x0010, 0x0010});
+        });
+      });
+    }
+    unsigned int r1 = r.x();
+    unsigned int r2 = r.y();
+    assert(r1 == 0x00100010);
+    assert(r2 == 0x00100010);
+  }
+
+  // upsample - 4
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleSS2US2>([=]() {
+          AccR[0] = s::upsample(s::short2{0x0010, 0x0010},
+                                s::ushort2{0x0010, 0x0010});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0x00100010);
+    assert(r2 == 0x00100010);
+  }
+
+  // upsample - 5
+  {
+    s::ulong2 r{0};
+    {
+      s::buffer<s::ulong2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleUI2UI2>([=]() {
+          AccR[0] = s::upsample(s::uint2{0x00000010, 0x00000010},
+                                s::uint2{0x00000010, 0x00000010});
+        });
+      });
+    }
+    unsigned long long r1 = r.x();
+    unsigned long long r2 = r.y();
+    assert(r1 == 0x0000001000000010);
+    assert(r2 == 0x0000001000000010);
+  }
+
+  // upsample - 6
+  {
+    s::long2 r{0};
+    {
+      s::buffer<s::long2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class upsampleSI2UI2>([=]() {
+          AccR[0] = s::upsample(s::int2{0x00000010, 0x00000010},
+                                s::uint2{0x00000010, 0x00000010});
+        });
+      });
+    }
+    long long r1 = r.x();
+    long long r2 = r.y();
+    assert(r1 == 0x0000001000000010);
+    assert(r2 == 0x0000001000000010);
+  }
+
+  // popcount
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class popcountSI2>([=]() {
+          AccR[0] = s::popcount(s::int2{0x000000FF, 0x000000FF});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 8);
+    assert(r2 == 8);
+  }
+
+  // mad24
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mad24SI2SI2SI2>([=]() {
+          AccR[0] = s::mad24(s::int2{0xFFFFFFFF, 0xFFFFFFFF}, s::int2{20, 20},
+                             s::int2{20, 20});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == 0);
+    assert(r2 == 0);
+  }
+
+  // mul24
+  {
+    s::int2 r{0};
+    {
+      s::buffer<s::int2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class mul24SI2SI2SI2>([=]() {
+          AccR[0] = s::mul24(s::int2{0xFFFFFFFF, 0xFFFFFFFF}, s::int2{20, 20});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    assert(r1 == -20);
+    assert(r2 == -20);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/vector_math.cpp b/sycl/test-e2e/DeviceLib/built-ins/vector_math.cpp
new file mode 100644
index 0000000000000..27d48f2227033
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/vector_math.cpp
@@ -0,0 +1,205 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cassert>
+#include <cmath>
+
+namespace s = sycl;
+
+int main() {
+  // fmin
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fminF2F2>([=]() {
+          AccR[0] = s::fmin(s::float2{0.5f, 3.4f}, s::float2{2.3f, 0.4f});
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    assert(r1 == 0.5f);
+    assert(r2 == 0.4f);
+  }
+
+  // fabs
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class fabsF2>([=]() {
+          AccR[0] = s::fabs(s::float2{-1.0f, 2.0f});
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    assert(r1 == 1.0f);
+    assert(r2 == 2.0f);
+  }
+
+  // floor
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class floorF2>([=]() {
+          AccR[0] = s::floor(s::float2{1.4f, 2.8f});
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    assert(r1 == 1.0f);
+    assert(r2 == 2.0f);
+  }
+
+  // ceil
+  {
+    s::float2 r{0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class ceilF2>([=]() {
+          AccR[0] = s::ceil(s::float2{1.4f, 2.8f});
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    assert(r1 == 2);
+    assert(r2 == 3);
+  }
+
+  // fract with global memory
+  {
+    s::float2 r{0, 0};
+    s::float2 i{0, 0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::buffer<s::float2, 1> BufI(&i, s::range<1>(1));
+
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class fractF2GF2>([=]() {
+          s::global_ptr<s::float2> Iptr(AccI);
+          AccR[0] = s::fract(s::float2{1.5f, 2.5f}, Iptr);
+        });
+      });
+    }
+
+    float r1 = r.x();
+    float r2 = r.y();
+    float i1 = i.x();
+    float i2 = i.y();
+
+    assert(r1 == 0.5f);
+    assert(r2 == 0.5f);
+    assert(i1 == 1.0f);
+    assert(i2 == 2.0f);
+  }
+
+  // fract with private memory
+  {
+    s::float2 r{0, 0};
+    s::float2 i{0, 0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::buffer<s::float2, 1> BufI(&i, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class fractF2PF2>([=]() {
+          s::float2 temp(0.0);
+          s::private_ptr<s::float2> Iptr(&temp);
+          AccR[0] = s::fract(s::float2{1.5f, 2.5f}, Iptr);
+          AccI[0] = *Iptr;
+        });
+      });
+    }
+
+    float r1 = r.x();
+    float r2 = r.y();
+    float i1 = i.x();
+    float i2 = i.y();
+
+    assert(r1 == 0.5f);
+    assert(r2 == 0.5f);
+    assert(i1 == 1.0f);
+    assert(i2 == 2.0f);
+  }
+
+  // lgamma with private memory
+  {
+    s::float2 r{0, 0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class lgamma_rF2>([=]() {
+          AccR[0] = s::lgamma(s::float2{10.f, -2.4f});
+        });
+      });
+    }
+
+    float r1 = r.x();
+    float r2 = r.y();
+
+    assert(r1 > 12.8017f && r1 < 12.8019f); // ~12.8018
+    assert(r2 > 0.1024f && r2 < 0.1026f);   // ~0.102583
+  }
+
+  // lgamma_r with private memory
+  {
+    s::float2 r{0, 0};
+    s::int2 i{0, 0};
+    {
+      s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+      s::buffer<s::int2, 1> BufI(&i, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+        auto AccI = BufI.get_access<s::access::mode::read_write>(cgh);
+        cgh.single_task<class lgamma_rF2PF2>([=]() {
+          s::int2 temp(0.0);
+          s::private_ptr<s::int2> Iptr(&temp);
+          AccR[0] = s::lgamma_r(s::float2{10.f, -2.4f}, Iptr);
+          AccI[0] = *Iptr;
+        });
+      });
+    }
+
+    float r1 = r.x();
+    float r2 = r.y();
+    int i1 = i.x();
+    int i2 = i.y();
+
+    assert(r1 > 12.8017f && r1 < 12.8019f); // ~12.8018
+    assert(r2 > 0.1024f && r2 < 0.1026f);   // ~0.102583
+    assert(i1 == 1);                        // tgamma of 10 is ~362880.0
+    assert(i2 == -1); // tgamma of -2.4 is ~-1.1080299470333461
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/built-ins/vector_relational.cpp b/sycl/test-e2e/DeviceLib/built-ins/vector_relational.cpp
new file mode 100644
index 0000000000000..cc1ee6faa5e24
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/built-ins/vector_relational.cpp
@@ -0,0 +1,601 @@
+// FIXME unsupported on windows (opencl and level-zero) until fix of libdevice
+// UNSUPPORTED: windows && (opencl || level_zero)
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cmath>
+#include <iostream>
+
+namespace s = sycl;
+
+int main() {
+  // isequal
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isequalF4F4>([=]() {
+          AccR[0] = s::isequal(s::float4{0.5f, 0.6f, NAN, INFINITY},
+                               s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == -1);
+    assert(r2 == 0);
+    assert(r3 == 0);
+    assert(r4 == 0);
+  }
+
+  // isnotequal
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnotequalF4F4>([=]() {
+          AccR[0] = s::isnotequal(s::float4{0.5f, 0.6f, NAN, INFINITY},
+                                  s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == -1);
+    assert(r4 == -1);
+  }
+
+  // isgreater
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isgreaterF4F4>([=]() {
+          AccR[0] = s::isgreater(s::float4{0.5f, 0.6f, NAN, INFINITY},
+                                 s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == -1);
+  }
+
+  // isgreaterequal
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isgreaterequalF4F4>([=]() {
+          AccR[0] = s::isgreaterequal(s::float4{0.5f, 0.6f, NAN, INFINITY},
+                                      s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == -1);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == -1);
+  }
+
+  // isless
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class islessF4F4>([=]() {
+          AccR[0] = s::isless(s::float4{0.5f, 0.4f, NAN, INFINITY},
+                              s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == 0);
+  }
+
+  // islessequal
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class islessequalF4F4>([=]() {
+          AccR[0] = s::islessequal(s::float4{0.5f, 0.4f, NAN, INFINITY},
+                                   s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == -1);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == 0);
+  }
+
+  // islessgreater
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class islessgreaterF4F4>([=]() {
+          AccR[0] = s::islessgreater(s::float4{0.5f, 0.4f, NAN, INFINITY},
+                                     s::float4{0.5f, 0.5f, 0.5f, INFINITY});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == 0); // Infinity is considered as greater than any
+                     // other value except Infinity.
+  }
+
+  // isfinite
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isfiniteF4F4>([=]() {
+          AccR[0] = s::isfinite(s::float4{0.5f, 0.4f, NAN, INFINITY});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == -1);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == 0);
+  }
+
+  // isinf
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isinfF4F4>([=]() {
+          AccR[0] = s::isinf(s::float4{0.5f, 0.4f, NAN, INFINITY});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == 0);
+    assert(r3 == 0);
+    assert(r4 == -1);
+  }
+
+  // isnan
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnanF4F4>([=]() {
+          AccR[0] = s::isnan(s::float4{0.5f, 0.4f, NAN, INFINITY});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == 0);
+    assert(r3 == -1);
+    assert(r4 == 0);
+  }
+
+  // isnormal
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isnormalF4F4>([=]() {
+          AccR[0] = s::isnormal(s::float4{0.5f, 0.4f, NAN, INFINITY});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == -1);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == 0);
+  }
+
+  // isordered
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isorderedF4F4>([=]() {
+          AccR[0] = s::isordered(s::float4{0.5f, 0.6f, NAN, INFINITY},
+                                 s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == -1);
+    assert(r2 == -1);
+    assert(r3 == 0);
+    assert(r4 == -1); // infinity is ordered.
+  }
+
+  // isunordered
+  {
+    s::int4 r{0};
+    {
+      s::buffer<s::int4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class isunorderedF4F4>([=]() {
+          AccR[0] = s::isunordered(s::float4{0.5f, 0.6f, NAN, INFINITY},
+                                   s::float4{0.5f, 0.5f, 0.5f, 0.5f});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+    int r4 = r.w();
+
+    assert(r1 == 0);
+    assert(r2 == 0);
+    assert(r3 == -1);
+    assert(r4 == 0);
+  }
+
+  // signbit
+  {
+    s::int3 r{0};
+    {
+      s::buffer<s::int3, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class signbitF3>([=]() {
+          AccR[0] = s::signbit(s::float3{0.5f, -12.0f, INFINITY});
+        });
+      });
+    }
+    int r1 = r.x();
+    int r2 = r.y();
+    int r3 = r.z();
+
+    assert(r1 == 0);
+    assert(r2 == -1);
+    assert(r3 == 0);
+  }
+
+  // any.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyI4>([=]() {
+          AccR[0] = s::any(s::int4{-12, -12, 0, 1});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 1);
+  }
+
+  // any.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyI4negative>([=]() {
+          AccR[0] = s::any(s::int4{-12, -12, -12, -12});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 1);
+  }
+
+  // any.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyI4zero>([=]() {
+          AccR[0] = s::any(s::int4{0, 0, 0, 0});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 0);
+  }
+
+  // any.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class anyI4positive>([=]() {
+          AccR[0] = s::any(s::int4{12, 12, 12, 12});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 0);
+  }
+
+  // all.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allI4>([=]() {
+          AccR[0] = s::all(s::int4{-12, -12, -12, -12});
+          // Infinity (positive or negative) or Nan are not integers.
+          // Passing them creates inconsistent results between host and device
+          // execution.
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 1);
+  }
+
+  // all.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allI4negative>([=]() {
+          AccR[0] = s::all(s::int4{-12, -12, -12, -12});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 1);
+  }
+
+  // all.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allI4zero>([=]() {
+          AccR[0] = s::all(s::int4{0, 0, 0, 0});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 0);
+  }
+
+  // all.
+  // Call to the device function with vector parameters work. Scalars do not.
+  {
+    int r{0};
+    {
+      s::buffer<int, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class allI4positive>([=]() {
+          AccR[0] = s::all(s::int4{12, 12, 12, 12});
+        });
+      });
+    }
+    int r1 = r;
+
+    assert(r1 == 0);
+  }
+
+  // bitselect
+  {
+    s::float4 r{0};
+    {
+      s::buffer<s::float4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class bitselectF4F4F4>([=]() {
+          AccR[0] = s::bitselect(s::float4{112.112f, 12.12f, 0, 0.0f},
+                                 s::float4{34.34f, 23.23f, 1, 0.0f},
+                                 s::float4{3.3f, 6.6f, 1, 0.0f});
+        }); // Using NAN/INFINITY as any float produced consistent results
+            // between host and device.
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    float r3 = r.z();
+    float r4 = r.w();
+
+    assert(abs(r1 - 80.5477f) < 0.0001);
+    assert(abs(r2 - 18.2322f) < 0.0001);
+    assert(abs(r3 - 1.0f) < 0.01);
+    assert(abs(r4 - 0.0f) < 0.01);
+  }
+
+  // select
+  {
+    s::float4 r{0};
+    {
+      s::buffer<s::float4, 1> BufR(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccR = BufR.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectF4F4I4>([=]() {
+          AccR[0] = s::select(s::float4{112.112f, 34.34f, 112.112f, 34.34f},
+                              s::float4{34.34f, 112.112f, 34.34f, 112.112f},
+                              s::int4{0, -1, 0, 1});
+          // Using NAN/infinity as an input, which gets
+          // selected by -1, produces a NAN/infinity as expected.
+        });
+      });
+    }
+    float r1 = r.x();
+    float r2 = r.y();
+    float r3 = r.z();
+    float r4 = r.w();
+
+    assert(r1 == 112.112f);
+    assert(r2 == 112.112f);
+    assert(r3 == 112.112f);
+    assert(r4 == 34.34f);
+  }
+
+  {
+    s::vec<int, 4> r(0);
+    {
+      s::vec<int, 4> a(1, 2, 3, 4);
+      s::vec<int, 4> b(5, 6, 7, 8);
+      s::vec<unsigned int, 4> m(1u, 0x80000000u, 42u, 0x80001000u);
+      s::buffer<s::vec<int, 4>> A(&a, s::range<1>(1));
+      s::buffer<s::vec<int, 4>> B(&b, s::range<1>(1));
+      s::buffer<s::vec<unsigned int, 4>> M(&m, s::range<1>(1));
+      s::buffer<s::vec<int, 4>> R(&r, s::range<1>(1));
+      s::queue myQueue;
+      myQueue.submit([&](s::handler &cgh) {
+        auto AccA = A.get_access<s::access::mode::read>(cgh);
+        auto AccB = B.get_access<s::access::mode::read>(cgh);
+        auto AccM = M.get_access<s::access::mode::read>(cgh);
+        auto AccR = R.get_access<s::access::mode::write>(cgh);
+        cgh.single_task<class selectI4I4U4>(
+            [=]() { AccR[0] = s::select(AccA[0], AccB[0], AccM[0]); });
+      });
+    }
+    if (r.x() != 1 || r.y() != 6 || r.z() != 3 || r.w() != 8) {
+      std::cerr << "selectI4I4U4 test case failed!\n";
+      std::cerr << "Expected result: 1 6 3 8\n";
+      std::cerr << "Got: " << r.x() << " " << r.y() << " " << r.z() << " "
+                << r.w() << "\n";
+      return 1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/cmath-aot.cpp b/sycl/test-e2e/DeviceLib/cmath-aot.cpp
new file mode 100644
index 0000000000000..28ab9ef937661
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/cmath-aot.cpp
@@ -0,0 +1,14 @@
+// REQUIRES: opencl-aot, cpu
+// UNSUPPORTED: windows
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %S/cmath_test.cpp -o %t.cmath.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.cmath.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %S/cmath_fp64_test.cpp -o %t.cmath.fp64.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.cmath.fp64.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %S/std_complex_math_test.cpp -o %t.complex.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.complex.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %S/std_complex_math_fp64_test.cpp -o %t.complex.fp64.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.complex.fp64.out
diff --git a/sycl/test-e2e/DeviceLib/cmath_fp64_test.cpp b/sycl/test-e2e/DeviceLib/cmath_fp64_test.cpp
new file mode 100644
index 0000000000000..e435d8def5b3b
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/cmath_fp64_test.cpp
@@ -0,0 +1,170 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "math_utils.hpp"
+#include <cmath>
+#include <cstdint>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+#define TEST_NUM 61
+
+double ref[TEST_NUM] = {
+    1, 0, 0, 0, 0, 0, 0, 1, 1, 0.5, 0, 2, 0, 0,   1,   0,   2,   0, 0, 0, 0,
+    0, 1, 0, 1, 2, 0, 1, 2, 5, 0,   0, 0, 0, 0.5, 0.5, NAN, NAN, 2, 0, 0, 0,
+    0, 0, 0, 0, 0, 0, 0, 0, 0, 0,   0, 0, 0, 0,   0,   0,   0,   0, 0};
+
+double refIptr = 1;
+
+template <class T> void device_cmath_test(s::queue &deviceQueue) {
+  s::range<1> numOfItems{TEST_NUM};
+  T result[TEST_NUM] = {-1};
+
+  // Variable exponent is an integer value to store the exponent in frexp
+  // function
+  int exponent = -1;
+
+  // Variable iptr stores the integral part of float point in modf function
+  T iptr = -1;
+
+  // Variable quo stores the sign and some bits of x/y in remquo function
+  int quo = -1;
+  {
+    s::buffer<T, 1> buffer1(result, numOfItems);
+    s::buffer<int, 1> buffer2(&exponent, s::range<1>{1});
+    s::buffer<T, 1> buffer3(&iptr, s::range<1>{1});
+    s::buffer<int, 1> buffer4(&quo, s::range<1>{1});
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto exp_access = buffer2.template get_access<sycl_write>(cgh);
+      auto iptr_access = buffer3.template get_access<sycl_write>(cgh);
+      auto quo_access = buffer4.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest>([=]() {
+        int i = 0;
+        T nan = NAN;
+        T minus_nan = -NAN;
+        T infinity = INFINITY;
+        T minus_infinity = -INFINITY;
+        double subnormal;
+        *((uint64_t *)&subnormal) = 0xFFFFFFFFFFFFFULL;
+        res_access[i++] = std::cos(0.0);
+        res_access[i++] = std::sin(0.0);
+        res_access[i++] = std::log(1.0);
+        res_access[i++] = std::acos(1.0);
+        res_access[i++] = std::asin(0.0);
+        res_access[i++] = std::atan(0.0);
+        res_access[i++] = std::atan2(0.0, 1.0);
+        res_access[i++] = std::cosh(0.0);
+        res_access[i++] = std::exp(0.0);
+        res_access[i++] = std::fmod(1.5, 1.0);
+        res_access[i++] = std::frexp(0.0, &exp_access[0]);
+        res_access[i++] = std::ldexp(1.0, 1);
+        res_access[i++] = std::log10(1.0);
+        res_access[i++] = std::modf(1.0, &iptr_access[0]);
+        res_access[i++] = std::pow(1.0, 1.0);
+        res_access[i++] = std::sinh(0.0);
+        res_access[i++] = std::sqrt(4.0);
+        res_access[i++] = std::tan(0.0);
+        res_access[i++] = std::tanh(0.0);
+        res_access[i++] = std::acosh(1.0);
+        res_access[i++] = std::asinh(0.0);
+        res_access[i++] = std::atanh(0.0);
+        res_access[i++] = std::cbrt(1.0);
+        res_access[i++] = std::erf(0.0);
+        res_access[i++] = std::erfc(0.0);
+        res_access[i++] = std::exp2(1.0);
+        res_access[i++] = std::expm1(0.0);
+        res_access[i++] = std::fdim(1.0, 0.0);
+        res_access[i++] = std::fma(1.0, 1.0, 1.0);
+        res_access[i++] = std::hypot(3.0, 4.0);
+        res_access[i++] = std::ilogb(1.0);
+        res_access[i++] = std::log1p(0.0);
+        res_access[i++] = std::log2(1.0);
+        res_access[i++] = std::logb(1.0);
+        res_access[i++] = std::remainder(0.5, 1.0);
+        res_access[i++] = std::remquo(0.5, 1.0, &quo_access[0]);
+        res_access[i++] = std::tgamma(nan);
+        res_access[i++] = std::lgamma(nan);
+        res_access[i++] = std::scalbn(1.0, 1);
+
+        res_access[i++] = !(std::signbit(infinity) == 0);
+        res_access[i++] = !(std::signbit(minus_infinity) != 0);
+        res_access[i++] = !(std::isunordered(minus_nan, nan) != 0);
+        res_access[i++] = !(std::isunordered(minus_infinity, infinity) == 0);
+        res_access[i++] = !(std::isgreater(minus_infinity, infinity) == 0);
+        res_access[i++] = !(std::isgreater(0.0f, minus_nan) == 0);
+#ifdef _WIN32
+        res_access[i++] = !(std::isfinite(0.0f) != 0);
+        res_access[i++] = !(std::isfinite(nan) == 0);
+        res_access[i++] = !(std::isfinite(infinity) == 0);
+        res_access[i++] = !(std::isfinite(minus_infinity) == 0);
+
+        res_access[i++] = !(std::isinf(0.0f) == 0);
+        res_access[i++] = !(std::isinf(nan) == 0);
+        res_access[i++] = !(std::isinf(infinity) != 0);
+        res_access[i++] = !(std::isinf(minus_infinity) != 0);
+#else  // !_WIN32
+       // __builtin_isfinite is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+
+        // __builtin_isinf is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+#endif // !_WIN32
+        res_access[i++] = !(std::isnan(0.0f) == 0);
+        res_access[i++] = !(std::isnan(nan) != 0);
+        res_access[i++] = !(std::isnan(infinity) == 0);
+        res_access[i++] = !(std::isnan(minus_infinity) == 0);
+#ifdef _WIN32
+        res_access[i++] = !(std::isnormal(nan) == 0);
+        res_access[i++] = !(std::isnormal(minus_infinity) == 0);
+        res_access[i++] = !(std::isnormal(subnormal) == 0);
+        res_access[i++] = !(std::isnormal(1.0f) != 0);
+#else  // !_WIN32
+       // __builtin_isnormal() is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+#endif // !_WIN32
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < TEST_NUM; ++i) {
+    assert(approx_equal_fp(result[i], ref[i]));
+  }
+
+  // Test modf integral part
+  assert(approx_equal_fp(iptr, refIptr));
+
+  // Test frexp exponent
+  assert(exponent == 0);
+
+  // Test remquo sign
+  assert(quo == 0);
+}
+
+int main() {
+  s::queue deviceQueue;
+  if (deviceQueue.get_device().has(sycl::aspect::fp64)) {
+    device_cmath_test<double>(deviceQueue);
+    std::cout << "Pass" << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/cmath_test.cpp b/sycl/test-e2e/DeviceLib/cmath_test.cpp
new file mode 100644
index 0000000000000..ad9d9a494eb51
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/cmath_test.cpp
@@ -0,0 +1,224 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fno-builtin %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "math_utils.hpp"
+#include <cmath>
+#include <cstdint>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+#define TEST_NUM 59
+
+float ref[TEST_NUM] = {1, 0, 0,   0,   0,   0,   0, 1, 1, 0.5, 0, 0, 1, 0, 2,
+                       0, 0, 0,   0,   0,   1,   0, 1, 2, 0,   1, 2, 5, 0, 0,
+                       0, 0, 0.5, 0.5, NAN, NAN, 2, 0, 0, 0,   0, 0, 0, 0, 0,
+                       0, 0, 0,   0,   0,   0,   0, 0, 0, 0,   0, 0, 0, 0};
+
+float refIptr = 1;
+
+template <class T> void device_cmath_test_1(s::queue &deviceQueue) {
+  s::range<1> numOfItems{TEST_NUM};
+  T result[TEST_NUM] = {-1};
+
+  // Variable iptr stores the integral part of float point in modf function
+  T iptr = -1;
+
+  // Variable quo stores the sign and some bits of x/y in remquo function
+  int quo = -1;
+  {
+    s::buffer<T, 1> buffer1(result, numOfItems);
+    s::buffer<T, 1> buffer2(&iptr, s::range<1>{1});
+    s::buffer<int, 1> buffer3(&quo, s::range<1>{1});
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto iptr_access = buffer2.template get_access<sycl_write>(cgh);
+      auto quo_access = buffer3.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest1>([=]() {
+        int i = 0;
+        T nan = NAN;
+        T minus_nan = -NAN;
+        T infinity = INFINITY;
+        T minus_infinity = -INFINITY;
+        float subnormal;
+        *((uint32_t *)&subnormal) = 0x7FFFFF;
+
+        res_access[i++] = std::cos(0.0f);
+        res_access[i++] = std::sin(0.0f);
+        res_access[i++] = std::log(1.0f);
+        res_access[i++] = std::acos(1.0f);
+        res_access[i++] = std::asin(0.0f);
+        res_access[i++] = std::atan(0.0f);
+        res_access[i++] = std::atan2(0.0f, 1.0f);
+        res_access[i++] = std::cosh(0.0f);
+        res_access[i++] = std::exp(0.0f);
+        res_access[i++] = std::fmod(1.5f, 1.0f);
+        res_access[i++] = std::log10(1.0f);
+        res_access[i++] = std::modf(1.0f, &iptr_access[0]);
+        res_access[i++] = std::pow(1.0f, 1.0f);
+        res_access[i++] = std::sinh(0.0f);
+        res_access[i++] = std::sqrt(4.0f);
+        res_access[i++] = std::tan(0.0f);
+        res_access[i++] = std::tanh(0.0f);
+        res_access[i++] = std::acosh(1.0f);
+        res_access[i++] = std::asinh(0.0f);
+        res_access[i++] = std::atanh(0.0f);
+        res_access[i++] = std::cbrt(1.0f);
+        res_access[i++] = std::erf(0.0f);
+        res_access[i++] = std::erfc(0.0f);
+        res_access[i++] = std::exp2(1.0f);
+        res_access[i++] = std::expm1(0.0f);
+        res_access[i++] = std::fdim(1.0f, 0.0f);
+        res_access[i++] = std::fma(1.0f, 1.0f, 1.0f);
+        res_access[i++] = std::hypot(3.0f, 4.0f);
+        res_access[i++] = std::ilogb(1.0f);
+        res_access[i++] = std::log1p(0.0f);
+        res_access[i++] = std::log2(1.0f);
+        res_access[i++] = std::logb(1.0f);
+        res_access[i++] = std::remainder(0.5f, 1.0f);
+        res_access[i++] = std::remquo(0.5f, 1.0f, &quo_access[0]);
+        res_access[i++] = std::tgamma(nan);
+        res_access[i++] = std::lgamma(nan);
+        res_access[i++] = std::scalbn(1.0f, 1);
+
+        res_access[i++] = !(std::signbit(infinity) == 0);
+        res_access[i++] = !(std::signbit(minus_infinity) != 0);
+        res_access[i++] = !(std::isunordered(minus_nan, nan) != 0);
+        res_access[i++] = !(std::isunordered(minus_infinity, infinity) == 0);
+        res_access[i++] = !(std::isgreater(minus_infinity, infinity) == 0);
+        res_access[i++] = !(std::isgreater(0.0f, minus_nan) == 0);
+        res_access[i++] = !(std::isfinite(0.0f) != 0);
+        res_access[i++] = !(std::isfinite(nan) == 0);
+        res_access[i++] = !(std::isfinite(infinity) == 0);
+        res_access[i++] = !(std::isfinite(minus_infinity) == 0);
+
+        res_access[i++] = !(std::isinf(0.0f) == 0);
+        res_access[i++] = !(std::isinf(nan) == 0);
+        res_access[i++] = !(std::isinf(infinity) != 0);
+        res_access[i++] = !(std::isinf(minus_infinity) != 0);
+        res_access[i++] = !(std::isnan(0.0f) == 0);
+        res_access[i++] = !(std::isnan(nan) != 0);
+        res_access[i++] = !(std::isnan(infinity) == 0);
+        res_access[i++] = !(std::isnan(minus_infinity) == 0);
+        res_access[i++] = !(std::isnormal(nan) == 0);
+        res_access[i++] = !(std::isnormal(minus_infinity) == 0);
+        res_access[i++] = !(std::isnormal(subnormal) == 0);
+        res_access[i++] = !(std::isnormal(1.0f) != 0);
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < TEST_NUM; ++i) {
+    assert(approx_equal_fp(result[i], ref[i]));
+  }
+
+  // Test modf integral part
+  assert(approx_equal_fp(iptr, refIptr));
+
+  // Test remquo sign
+  assert(quo == 0);
+}
+
+// MSVC implements std::ldexp<float> and std::frexp<float> by invoking the
+// 'double' version of corresponding C math functions(ldexp and frexp). Those
+// 2 functions can only work on Windows with fp64 extension support from
+// underlying device.
+#ifndef _WIN32
+template <class T> void device_cmath_test_2(s::queue &deviceQueue) {
+  s::range<1> numOfItems{2};
+  T result[2] = {-1};
+  T ref[2] = {0, 2};
+  // Variable exponent is an integer value to store the exponent in frexp
+  // function
+  int exponent = -1;
+
+  {
+    s::buffer<T, 1> buffer1(result, numOfItems);
+    s::buffer<int, 1> buffer2(&exponent, s::range<1>{1});
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto exp_access = buffer2.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest2>([=]() {
+        int i = 0;
+        res_access[i++] = std::frexp(0.0f, &exp_access[0]);
+        res_access[i++] = std::ldexp(1.0f, 1);
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < 2; ++i) {
+    assert(approx_equal_fp(result[i], ref[i]));
+  }
+
+  // Test frexp exponent
+  assert(exponent == 0);
+}
+#endif
+
+// Disable std::lldiv and std::ldiv test since it will lead
+// to OCL CPU failure, OCL CPU runtime has already fixed but
+// need to wait for the fix to propagate into pre-ci environment.
+void device_integer_math_test(s::queue &deviceQueue) {
+  div_t result_i[1];
+  // ldiv_t result_l[1];
+  // lldiv_t result_ll[1];
+
+  int result_i2[1];
+  long int result_l2[1];
+  long long int result_ll2[1];
+
+  {
+    s::buffer<div_t, 1> buffer1(result_i, s::range<1>{1});
+    // s::buffer<ldiv_t, 1> buffer2(result_l, s::range<1>{1});
+    // s::buffer<lldiv_t, 1> buffer3(result_ll, s::range<1>{1});
+    s::buffer<int, 1> buffer4(result_i2, s::range<1>{1});
+    s::buffer<long int, 1> buffer5(result_l2, s::range<1>{1});
+    s::buffer<long long int, 1> buffer6(result_ll2, s::range<1>{1});
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto res_i_access = buffer1.get_access<sycl_write>(cgh);
+      // auto res_l_access = buffer2.get_access<sycl_write>(cgh);
+      // auto res_ll_access = buffer3.get_access<sycl_write>(cgh);
+      auto res_i2_access = buffer4.get_access<sycl_write>(cgh);
+      auto res_l2_access = buffer5.get_access<sycl_write>(cgh);
+      auto res_ll2_access = buffer6.get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceIntMathTest>([=]() {
+        res_i_access[0] = std::div(99, 4);
+        // res_l_access[0] = std::ldiv(10000, 23);
+        // res_ll_access[0] = std::lldiv(200000000, 47);
+        res_i2_access[0] = std::abs(-111);
+        res_l2_access[0] = std::labs(10000);
+        res_ll2_access[0] = std::llabs(-2000000);
+      });
+    });
+  }
+
+  assert(result_i[0].quot == 24 && result_i[0].rem == 3);
+  // assert(result_l[0].quot == 434 && result_l[0].rem == 18);
+  // assert(result_ll[0].quot == 4255319 && result_ll[0].rem == 7);
+  assert(result_i2[0] == 111);
+  assert(result_l2[0] == 10000);
+  assert(result_ll2[0] == 2000000);
+}
+
+int main() {
+  s::queue deviceQueue;
+  device_cmath_test_1<float>(deviceQueue);
+#ifndef _WIN32
+  device_cmath_test_2<float>(deviceQueue);
+#endif
+  device_integer_math_test(deviceQueue);
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/complex-fpga.cpp b/sycl/test-e2e/DeviceLib/complex-fpga.cpp
new file mode 100644
index 0000000000000..19f7c74369cc2
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/complex-fpga.cpp
@@ -0,0 +1,15 @@
+//==----- accelerator.cpp - AOT compilation for fpga emulator devices  -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===------------------------------------------------------------------------===//
+// UNSUPPORTED: windows
+// REQUIRES: opencl-aot, accelerator
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_fpga %S/std_complex_math_test.cpp -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fintelfpga %S/std_complex_math_test.cpp -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/DeviceLib/imf_bfloat16_integeral_convesions.cpp b/sycl/test-e2e/DeviceLib/imf_bfloat16_integeral_convesions.cpp
new file mode 100644
index 0000000000000..884bff79e4b71
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_bfloat16_integeral_convesions.cpp
@@ -0,0 +1,596 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include "imf_utils.hpp"
+#include <sycl/sycl.hpp>
+
+extern "C" {
+unsigned short __imf_bfloat162ushort_rd(uint16_t);
+unsigned short __imf_bfloat162ushort_rn(uint16_t);
+unsigned short __imf_bfloat162ushort_ru(uint16_t);
+unsigned short __imf_bfloat162ushort_rz(uint16_t);
+short __imf_bfloat162short_rd(uint16_t);
+short __imf_bfloat162short_rn(uint16_t);
+short __imf_bfloat162short_ru(uint16_t);
+short __imf_bfloat162short_rz(uint16_t);
+unsigned __imf_bfloat162uint_rd(uint16_t);
+unsigned __imf_bfloat162uint_rn(uint16_t);
+unsigned __imf_bfloat162uint_ru(uint16_t);
+unsigned __imf_bfloat162uint_rz(uint16_t);
+int __imf_bfloat162int_rd(uint16_t);
+int __imf_bfloat162int_rn(uint16_t);
+int __imf_bfloat162int_ru(uint16_t);
+int __imf_bfloat162int_rz(uint16_t);
+unsigned long long __imf_bfloat162ull_rd(uint16_t);
+unsigned long long __imf_bfloat162ull_rn(uint16_t);
+unsigned long long __imf_bfloat162ull_ru(uint16_t);
+unsigned long long __imf_bfloat162ull_rz(uint16_t);
+long long __imf_bfloat162ll_rd(uint16_t);
+long long __imf_bfloat162ll_rn(uint16_t);
+long long __imf_bfloat162ll_ru(uint16_t);
+long long __imf_bfloat162ll_rz(uint16_t);
+uint16_t __imf_ushort2bfloat16_rd(unsigned short);
+uint16_t __imf_ushort2bfloat16_rn(unsigned short);
+uint16_t __imf_ushort2bfloat16_ru(unsigned short);
+uint16_t __imf_ushort2bfloat16_rz(unsigned short);
+uint16_t __imf_uint2bfloat16_rd(unsigned);
+uint16_t __imf_uint2bfloat16_rn(unsigned);
+uint16_t __imf_uint2bfloat16_ru(unsigned);
+uint16_t __imf_uint2bfloat16_rz(unsigned);
+uint16_t __imf_ull2bfloat16_rd(unsigned long long);
+uint16_t __imf_ull2bfloat16_rn(unsigned long long);
+uint16_t __imf_ull2bfloat16_ru(unsigned long long);
+uint16_t __imf_ull2bfloat16_rz(unsigned long long);
+uint16_t __imf_short2bfloat16_rd(short);
+uint16_t __imf_short2bfloat16_rn(short);
+uint16_t __imf_short2bfloat16_ru(short);
+uint16_t __imf_short2bfloat16_rz(short);
+uint16_t __imf_int2bfloat16_rd(int);
+uint16_t __imf_int2bfloat16_rn(int);
+uint16_t __imf_int2bfloat16_ru(int);
+uint16_t __imf_int2bfloat16_rz(int);
+uint16_t __imf_ll2bfloat16_rd(long long int);
+uint16_t __imf_ll2bfloat16_rn(long long int);
+uint16_t __imf_ll2bfloat16_ru(long long int);
+uint16_t __imf_ll2bfloat16_rz(long long int);
+};
+
+int main() {
+  sycl::queue device_queue(sycl::default_selector_v);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<sycl::info::device::name>()
+            << std::endl;
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x0,    0x8000, 0x4020, 0xC020, 0x447A, 0x4700, 0xC700,
+        0x3FC0, 0xBFC0, 0x4780, 0x7F80, 0xFF80, 0x7FC0};
+    std::initializer_list<unsigned short> uoutput_vals_rd = {
+        0, 0, 2, 0, 1000, 32768, 0, 1, 0, 65535, 65535, 0, 0};
+    std::initializer_list<unsigned short> uoutput_vals_rn = {
+        0, 0, 2, 0, 1000, 32768, 0, 2, 0, 65535, 65535, 0, 0};
+    std::initializer_list<unsigned short> uoutput_vals_ru = {
+        0, 0, 3, 0, 1000, 32768, 0, 2, 0, 65535, 65535, 0, 0};
+    std::initializer_list<unsigned short> uoutput_vals_rz = {
+        0, 0, 2, 0, 1000, 32768, 0, 1, 0, 65535, 65535, 0, 0};
+    std::initializer_list<short> soutput_vals_rd = {
+        0, 0, 2, -3, 1000, 32767, -32768, 1, -2, 32767, 32767, -32768, 0};
+    std::initializer_list<short> soutput_vals_rn = {
+        0, 0, 2, -2, 1000, 32767, -32768, 2, -2, 32767, 32767, -32768, 0};
+    std::initializer_list<short> soutput_vals_ru = {
+        0, 0, 3, -2, 1000, 32767, -32768, 2, -1, 32767, 32767, -32768, 0};
+    std::initializer_list<short> soutput_vals_rz = {
+        0, 0, 2, -2, 1000, 32767, -32768, 1, -1, 32767, 32767, -32768, 0};
+    test_host(input_vals, uoutput_vals_rd, F(__imf_bfloat162ushort_rd));
+    test_host(input_vals, uoutput_vals_rn, F(__imf_bfloat162ushort_rn));
+    test_host(input_vals, uoutput_vals_ru, F(__imf_bfloat162ushort_ru));
+    test_host(input_vals, uoutput_vals_rz, F(__imf_bfloat162ushort_rz));
+    test(device_queue, input_vals, uoutput_vals_rd,
+         F(__imf_bfloat162ushort_rd));
+    test(device_queue, input_vals, uoutput_vals_rn,
+         F(__imf_bfloat162ushort_rn));
+    test(device_queue, input_vals, uoutput_vals_ru,
+         F(__imf_bfloat162ushort_ru));
+    test(device_queue, input_vals, uoutput_vals_rz,
+         F(__imf_bfloat162ushort_rz));
+    test_host(input_vals, soutput_vals_rd, F(__imf_bfloat162short_rd));
+    test_host(input_vals, soutput_vals_rn, F(__imf_bfloat162short_rn));
+    test_host(input_vals, soutput_vals_ru, F(__imf_bfloat162short_ru));
+    test_host(input_vals, soutput_vals_rz, F(__imf_bfloat162short_rz));
+    test(device_queue, input_vals, soutput_vals_rd, F(__imf_bfloat162short_rd));
+    test(device_queue, input_vals, soutput_vals_rn, F(__imf_bfloat162short_rn));
+    test(device_queue, input_vals, soutput_vals_ru, F(__imf_bfloat162short_ru));
+    test(device_queue, input_vals, soutput_vals_rz, F(__imf_bfloat162short_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x0,    0x8000, 0x4020, 0xC020, 0x447A, 0x4700, 0xC700,
+        0x3FC0, 0xBFC0, 0x4780, 0x7F80, 0xFF80, 0x7FC0, 0x4F00,
+        0xCF00, 0x4F80, 0x4E93, 0xA,    0x800A, 0x4D9F, 0xCC54};
+    std::initializer_list<unsigned int> uoutput_vals_rd = {
+        0, 0,          2,          0,          1000, 32768,     0,
+        1, 0,          65536,      4294967295, 0,    0,         2147483648,
+        0, 4294967295, 1233125376, 0,          0,    333447168, 0};
+    std::initializer_list<unsigned int> uoutput_vals_rn = {
+        0, 0,          2,          0,          1000, 32768,     0,
+        2, 0,          65536,      4294967295, 0,    0,         2147483648,
+        0, 4294967295, 1233125376, 0,          0,    333447168, 0};
+    std::initializer_list<unsigned int> uoutput_vals_ru = {
+        0, 0,          3,          0,          1000, 32768,     0,
+        2, 0,          65536,      4294967295, 0,    0,         2147483648,
+        0, 4294967295, 1233125376, 1,          0,    333447168, 0};
+    std::initializer_list<unsigned int> uoutput_vals_rz = {
+        0, 0,          2,          0,          1000, 32768,     0,
+        1, 0,          65536,      4294967295, 0,    0,         2147483648,
+        0, 4294967295, 1233125376, 0,          0,    333447168, 0};
+    std::initializer_list<int> soutput_vals_rd = {
+        0,      0,          2,           -3,         1000,       32768,
+        -32768, 1,          -2,          65536,      2147483647, -2147483648,
+        0,      2147483647, -2147483648, 2147483647, 1233125376, 0,
+        -1,     333447168,  -55574528};
+    std::initializer_list<int> soutput_vals_rn = {
+        0,      0,          2,           -2,         1000,       32768,
+        -32768, 2,          -2,          65536,      2147483647, -2147483648,
+        0,      2147483647, -2147483648, 2147483647, 1233125376, 0,
+        0,      333447168,  -55574528};
+    std::initializer_list<int> soutput_vals_ru = {
+        0,      0,          3,           -2,         1000,       32768,
+        -32768, 2,          -1,          65536,      2147483647, -2147483648,
+        0,      2147483647, -2147483648, 2147483647, 1233125376, 1,
+        0,      333447168,  -55574528};
+    std::initializer_list<int> soutput_vals_rz = {
+        0,      0,          2,           -2,         1000,       32768,
+        -32768, 1,          -1,          65536,      2147483647, -2147483648,
+        0,      2147483647, -2147483648, 2147483647, 1233125376, 0,
+        0,      333447168,  -55574528};
+    test_host(input_vals, uoutput_vals_rd, F(__imf_bfloat162uint_rd));
+    test_host(input_vals, uoutput_vals_rn, F(__imf_bfloat162uint_rn));
+    test_host(input_vals, uoutput_vals_ru, F(__imf_bfloat162uint_ru));
+    test_host(input_vals, uoutput_vals_rz, F(__imf_bfloat162uint_rz));
+    test_host(input_vals, soutput_vals_rd, F(__imf_bfloat162int_rd));
+    test_host(input_vals, soutput_vals_rn, F(__imf_bfloat162int_rn));
+    test_host(input_vals, soutput_vals_ru, F(__imf_bfloat162int_ru));
+    test_host(input_vals, soutput_vals_rz, F(__imf_bfloat162int_rz));
+    test(device_queue, input_vals, uoutput_vals_rd, F(__imf_bfloat162uint_rd));
+    test(device_queue, input_vals, uoutput_vals_rn, F(__imf_bfloat162uint_rn));
+    test(device_queue, input_vals, uoutput_vals_ru, F(__imf_bfloat162uint_ru));
+    test(device_queue, input_vals, uoutput_vals_rz, F(__imf_bfloat162uint_rz));
+    test(device_queue, input_vals, soutput_vals_rd, F(__imf_bfloat162int_rd));
+    test(device_queue, input_vals, soutput_vals_rn, F(__imf_bfloat162int_rn));
+    test(device_queue, input_vals, soutput_vals_ru, F(__imf_bfloat162int_ru));
+    test(device_queue, input_vals, soutput_vals_rz, F(__imf_bfloat162int_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x0,    0x8000, 0x4020, 0xC020, 0x447A, 0x4700, 0xC700,
+        0x3FC0, 0xBFC0, 0x4780, 0x7F80, 0xFF80, 0x7FC0, 0x4F00,
+        0xCF00, 0x4F80, 0x4E93, 0xA,    0x800A, 0x4D9F, 0xCC54};
+    std::initializer_list<unsigned long long> uoutput_vals_rd = {
+        0,
+        0,
+        2,
+        0,
+        1000,
+        32768,
+        0,
+        1,
+        0,
+        65536,
+        18446744073709551615ULL,
+        0,
+        9223372036854775808ULL,
+        2147483648,
+        0,
+        4294967296,
+        1233125376,
+        0,
+        0,
+        333447168,
+        0};
+    std::initializer_list<unsigned long long> uoutput_vals_rn = {
+        0,
+        0,
+        2,
+        0,
+        1000,
+        32768,
+        0,
+        2,
+        0,
+        65536,
+        18446744073709551615ULL,
+        0,
+        9223372036854775808ULL,
+        2147483648,
+        0,
+        4294967296,
+        1233125376,
+        0,
+        0,
+        333447168,
+        0};
+    std::initializer_list<unsigned long long> uoutput_vals_ru = {
+        0,
+        0,
+        3,
+        0,
+        1000,
+        32768,
+        0,
+        2,
+        0,
+        65536,
+        18446744073709551615ULL,
+        0,
+        9223372036854775808ULL,
+        2147483648,
+        0,
+        4294967296,
+        1233125376,
+        1,
+        0,
+        333447168,
+        0};
+    std::initializer_list<unsigned long long> uoutput_vals_rz = {
+        0,
+        0,
+        2,
+        0,
+        1000,
+        32768,
+        0,
+        1,
+        0,
+        65536,
+        18446744073709551615ULL,
+        0,
+        9223372036854775808ULL,
+        2147483648,
+        0,
+        4294967296,
+        1233125376,
+        0,
+        0,
+        333447168,
+        0};
+    std::initializer_list<long long> soutput_vals_rd = {
+        0,         0,          2,           -3,         1000,       32768,
+        -32768,    1,          -2,          65536,      LLONG_MAX,  LLONG_MIN,
+        LLONG_MIN, 2147483648, -2147483648, 4294967296, 1233125376, 0,
+        -1,        333447168,  -55574528};
+    std::initializer_list<long long> soutput_vals_rn = {
+        0,         0,          2,           -2,         1000,       32768,
+        -32768,    2,          -2,          65536,      LLONG_MAX,  LLONG_MIN,
+        LLONG_MIN, 2147483648, -2147483648, 4294967296, 1233125376, 0,
+        0,         333447168,  -55574528};
+    std::initializer_list<long long> soutput_vals_ru = {
+        0,         0,          3,           -2,         1000,       32768,
+        -32768,    2,          -1,          65536,      LLONG_MAX,  LLONG_MIN,
+        LLONG_MIN, 2147483648, -2147483648, 4294967296, 1233125376, 1,
+        0,         333447168,  -55574528};
+    std::initializer_list<long long> soutput_vals_rz = {
+        0,         0,          2,           -2,         1000,       32768,
+        -32768,    1,          -1,          65536,      LLONG_MAX,  LLONG_MIN,
+        LLONG_MIN, 2147483648, -2147483648, 4294967296, 1233125376, 0,
+        0,         333447168,  -55574528};
+
+    test_host(input_vals, uoutput_vals_rd, F(__imf_bfloat162ull_rd));
+    test_host(input_vals, uoutput_vals_rn, F(__imf_bfloat162ull_rn));
+    test_host(input_vals, uoutput_vals_ru, F(__imf_bfloat162ull_ru));
+    test_host(input_vals, uoutput_vals_rz, F(__imf_bfloat162ull_rz));
+    test_host(input_vals, soutput_vals_rd, F(__imf_bfloat162ll_rd));
+    test_host(input_vals, soutput_vals_rn, F(__imf_bfloat162ll_rn));
+    test_host(input_vals, soutput_vals_ru, F(__imf_bfloat162ll_ru));
+    test_host(input_vals, soutput_vals_rz, F(__imf_bfloat162ll_rz));
+    test(device_queue, input_vals, uoutput_vals_rd, F(__imf_bfloat162ull_rd));
+    test(device_queue, input_vals, uoutput_vals_rn, F(__imf_bfloat162ull_rn));
+    test(device_queue, input_vals, uoutput_vals_ru, F(__imf_bfloat162ull_ru));
+    test(device_queue, input_vals, uoutput_vals_rz, F(__imf_bfloat162ull_rz));
+    test(device_queue, input_vals, soutput_vals_rd, F(__imf_bfloat162ll_rd));
+    test(device_queue, input_vals, soutput_vals_rn, F(__imf_bfloat162ll_rn));
+    test(device_queue, input_vals, soutput_vals_ru, F(__imf_bfloat162ll_ru));
+    test(device_queue, input_vals, soutput_vals_rz, F(__imf_bfloat162ll_rz));
+  }
+
+  {
+    std::initializer_list<unsigned short> input_vals = {
+        0,    1,    4,    13,    64,    234,   498,   512,   853,   999,  1024,
+        2048, 4078, 9999, 18983, 20000, 39932, 41120, 65535, 55532, 32768};
+    std::initializer_list<uint16_t> output_vals_rd = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9,
+        0x4400, 0x4455, 0x4479, 0x4480, 0x4500, 0x457E, 0x461C,
+        0x4694, 0x469C, 0x471B, 0x4720, 0x477F, 0x4758, 0x4700};
+    std::initializer_list<uint16_t> output_vals_rn = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9,
+        0x4400, 0x4455, 0x447A, 0x4480, 0x4500, 0x457F, 0x461C,
+        0x4694, 0x469C, 0x471C, 0x4721, 0x4780, 0x4759, 0x4700};
+    std::initializer_list<uint16_t> output_vals_ru = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9,
+        0x4400, 0x4456, 0x447A, 0x4480, 0x4500, 0x457F, 0x461D,
+        0x4695, 0x469D, 0x471C, 0x4721, 0x4780, 0x4759, 0x4700};
+    std::initializer_list<uint16_t> output_vals_rz = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9,
+        0x4400, 0x4455, 0x4479, 0x4480, 0x4500, 0x457E, 0x461C,
+        0x4694, 0x469C, 0x471B, 0x4720, 0x477F, 0x4758, 0x4700};
+    test_host(input_vals, output_vals_rd, F(__imf_ushort2bfloat16_rd));
+    test_host(input_vals, output_vals_rn, F(__imf_ushort2bfloat16_rn));
+    test_host(input_vals, output_vals_ru, F(__imf_ushort2bfloat16_ru));
+    test_host(input_vals, output_vals_rz, F(__imf_ushort2bfloat16_rz));
+    test(device_queue, input_vals, output_vals_rd, F(__imf_ushort2bfloat16_rd));
+    test(device_queue, input_vals, output_vals_rn, F(__imf_ushort2bfloat16_rn));
+    test(device_queue, input_vals, output_vals_ru, F(__imf_ushort2bfloat16_ru));
+    test(device_queue, input_vals, output_vals_rz, F(__imf_ushort2bfloat16_rz));
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals = {
+        0,          1,         4,       13,       64,        234,
+        498,        512,       853,     999,      1024,      2048,
+        4078,       9999,      18983,   20000,    39932,     41120,
+        65535,      55532,     125539,  999999,   382728456, 4294967295,
+        3248548722, 128322354, 5638921, 11112222, 4284837219};
+    std::initializer_list<uint16_t> output_vals_rd = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400,
+        0x4455, 0x4479, 0x4480, 0x4500, 0x457E, 0x461C, 0x4694, 0x469C,
+        0x471B, 0x4720, 0x477F, 0x4758, 0x47F5, 0x4974, 0x4DB6, 0x4F7F,
+        0x4F41, 0x4CF4, 0x4AAC, 0x4B29, 0x4F7F};
+    std::initializer_list<uint16_t> output_vals_rn = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400,
+        0x4455, 0x447A, 0x4480, 0x4500, 0x457F, 0x461C, 0x4694, 0x469C,
+        0x471C, 0x4721, 0x4780, 0x4759, 0x47F5, 0x4974, 0x4DB6, 0x4F80,
+        0x4F42, 0x4CF5, 0x4AAC, 0x4B2A, 0x4F7F};
+    std::initializer_list<uint16_t> output_vals_ru = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400,
+        0x4456, 0x447A, 0x4480, 0x4500, 0x457F, 0x461D, 0x4695, 0x469D,
+        0x471C, 0x4721, 0x4780, 0x4759, 0x47F6, 0x4975, 0x4DB7, 0x4F80,
+        0x4F42, 0x4CF5, 0x4AAD, 0x4B2A, 0x4F80};
+    std::initializer_list<uint16_t> output_vals_rz = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400,
+        0x4455, 0x4479, 0x4480, 0x4500, 0x457E, 0x461C, 0x4694, 0x469C,
+        0x471B, 0x4720, 0x477F, 0x4758, 0x47F5, 0x4974, 0x4DB6, 0x4F7F,
+        0x4F41, 0x4CF4, 0x4AAC, 0x4B29, 0x4F7F};
+    test_host(input_vals, output_vals_rd, F(__imf_uint2bfloat16_rd));
+    test_host(input_vals, output_vals_rn, F(__imf_uint2bfloat16_rn));
+    test_host(input_vals, output_vals_ru, F(__imf_uint2bfloat16_ru));
+    test_host(input_vals, output_vals_rz, F(__imf_uint2bfloat16_rz));
+    test(device_queue, input_vals, output_vals_rd, F(__imf_uint2bfloat16_rd));
+    test(device_queue, input_vals, output_vals_rn, F(__imf_uint2bfloat16_rn));
+    test(device_queue, input_vals, output_vals_ru, F(__imf_uint2bfloat16_ru));
+    test(device_queue, input_vals, output_vals_rz, F(__imf_uint2bfloat16_rz));
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals = {0,
+                                                            1,
+                                                            4,
+                                                            13,
+                                                            64,
+                                                            234,
+                                                            498,
+                                                            512,
+                                                            853,
+                                                            999,
+                                                            1024,
+                                                            2048,
+                                                            4078,
+                                                            9999,
+                                                            18983,
+                                                            20000,
+                                                            39932,
+                                                            41120,
+                                                            65535,
+                                                            55532,
+                                                            125539,
+                                                            999999,
+                                                            382728456,
+                                                            4294967295,
+                                                            3248548722,
+                                                            128322354,
+                                                            5638921,
+                                                            11112222,
+                                                            4284837219,
+                                                            99999911919,
+                                                            28372717371112,
+                                                            1990112719930525,
+                                                            ULLONG_MAX};
+    std::initializer_list<uint16_t> output_vals_rd = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400, 0x4455,
+        0x4479, 0x4480, 0x4500, 0x457E, 0x461C, 0x4694, 0x469C, 0x471B, 0x4720,
+        0x477F, 0x4758, 0x47F5, 0x4974, 0x4DB6, 0x4F7F, 0x4F41, 0x4CF4, 0x4AAC,
+        0x4B29, 0x4F7F, 0x51BA, 0x55CE, 0x58E2, 0x5F7F};
+    std::initializer_list<uint16_t> output_vals_rn = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400, 0x4455,
+        0x447A, 0x4480, 0x4500, 0x457F, 0x461C, 0x4694, 0x469C, 0x471C, 0x4721,
+        0x4780, 0x4759, 0x47F5, 0x4974, 0x4DB6, 0x4F80, 0x4F42, 0x4CF5, 0x4AAC,
+        0x4B2A, 0x4F7F, 0x51BA, 0x55CE, 0x58E2, 0x5F80};
+    std::initializer_list<uint16_t> output_vals_ru = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400, 0x4456,
+        0x447A, 0x4480, 0x4500, 0x457F, 0x461D, 0x4695, 0x469D, 0x471C, 0x4721,
+        0x4780, 0x4759, 0x47F6, 0x4975, 0x4DB7, 0x4F80, 0x4F42, 0x4CF5, 0x4AAD,
+        0x4B2A, 0x4F80, 0x51BB, 0x55CF, 0x58E3, 0x5F80};
+    std::initializer_list<uint16_t> output_vals_rz = {
+        0,      0x3F80, 0x4080, 0x4150, 0x4280, 0x436A, 0x43F9, 0x4400, 0x4455,
+        0x4479, 0x4480, 0x4500, 0x457E, 0x461C, 0x4694, 0x469C, 0x471B, 0x4720,
+        0x477F, 0x4758, 0x47F5, 0x4974, 0x4DB6, 0x4F7F, 0x4F41, 0x4CF4, 0x4AAC,
+        0x4B29, 0x4F7F, 0x51BA, 0x55CE, 0x58E2, 0x5F7F};
+    test_host(input_vals, output_vals_rd, F(__imf_ull2bfloat16_rd));
+    test_host(input_vals, output_vals_rn, F(__imf_ull2bfloat16_rn));
+    test_host(input_vals, output_vals_ru, F(__imf_ull2bfloat16_ru));
+    test_host(input_vals, output_vals_rz, F(__imf_ull2bfloat16_rz));
+    test(device_queue, input_vals, output_vals_rd, F(__imf_ull2bfloat16_rd));
+    test(device_queue, input_vals, output_vals_rn, F(__imf_ull2bfloat16_rn));
+    test(device_queue, input_vals, output_vals_ru, F(__imf_ull2bfloat16_ru));
+    test(device_queue, input_vals, output_vals_rz, F(__imf_ull2bfloat16_rz));
+  }
+
+  {
+    std::initializer_list<short> input_vals = {
+        0,   1,    -2,  4,    -7,   13,    24,   68,    -77,   128,    -127,
+        345, -498, 982, -888, 1888, -2048, 4099, -8877, 12345, -21234, 32767,
+        /*-32768*/};
+    std::initializer_list<uint16_t> output_vals_rd = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4475, 0xC45E, 0x44EC,
+        0xC500, 0x4580, 0xC60B, 0x4640, 0xC6A6, 0x46FF, /*0xC700*/};
+    std::initializer_list<uint16_t> output_vals_rn = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4476, 0xC45E, 0x44EC,
+        0xC500, 0x4580, 0xC60B, 0x4641, 0xC6A6, 0x4700, /*0xC700*/};
+    std::initializer_list<uint16_t> output_vals_ru = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AD, 0xC3F9, 0x4476, 0xC45E, 0x44EC,
+        0xC500, 0x4581, 0xC60A, 0x4641, 0xC6A5, 0x4700, /*0xC700*/};
+    std::initializer_list<uint16_t> output_vals_rz = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4475, 0xC45E, 0x44EC,
+        0xC500, 0x4580, 0xC60A, 0x4640, 0xC6A5, 0x46FF, /*0xC700*/};
+    test_host(input_vals, output_vals_rd, F(__imf_short2bfloat16_rd));
+    test_host(input_vals, output_vals_rn, F(__imf_short2bfloat16_rn));
+    test_host(input_vals, output_vals_ru, F(__imf_short2bfloat16_ru));
+    test_host(input_vals, output_vals_rz, F(__imf_short2bfloat16_rz));
+    test(device_queue, input_vals, output_vals_rd, F(__imf_short2bfloat16_rd));
+    test(device_queue, input_vals, output_vals_rn, F(__imf_short2bfloat16_rn));
+    test(device_queue, input_vals, output_vals_ru, F(__imf_short2bfloat16_ru));
+    test(device_queue, input_vals, output_vals_rz, F(__imf_short2bfloat16_rz));
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0,         1,          -2,          4,          -7,        13,
+        24,        68,         -77,         128,        -127,      345,
+        -498,      982,        -888,        1888,       -2048,     4099,
+        -8877,     12345,      -21234,      32767,      -32768,    69891,
+        -72000,    141234,     -239999,     599192,     -612934,   2223456,
+        -3424578,  6888888,    -7951238,    12004541,   -19889875, 40001122,
+        -78410987, 1147483647, -2147483647, 2147483647, /*-2147483648*/};
+    std::initializer_list<uint16_t> output_vals_rd = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4475, 0xC45E, 0x44EC,
+        0xC500, 0x4580, 0xC60B, 0x4640, 0xC6A6, 0x46FF, 0xC700, 0x4788,
+        0xC78D, 0x4809, 0xC86B, 0x4912, 0xC916, 0x4A07, 0xCA52, 0x4AD2,
+        0xCAF3, 0x4B37, 0xCB98, 0x4C18, 0xCC96, 0x4E88, 0xCF00, 0x4EFF,
+        /*0xCF00*/};
+    std::initializer_list<uint16_t> output_vals_rn = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4476, 0xC45E, 0x44EC,
+        0xC500, 0x4580, 0xC60B, 0x4641, 0xC6A6, 0x4700, 0xC700, 0x4789,
+        0xC78D, 0x480A, 0xC86A, 0x4912, 0xC916, 0x4A08, 0xCA51, 0x4AD2,
+        0xCAF3, 0x4B37, 0xCB98, 0x4C19, 0xCC96, 0x4E89, 0xCF00, 0x4F00,
+        /*0xCF00*/};
+    std::initializer_list<uint16_t> output_vals_ru = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AD, 0xC3F9, 0x4476, 0xC45E, 0x44EC,
+        0xC500, 0x4581, 0xC60A, 0x4641, 0xC6A5, 0x4700, 0xC700, 0x4789,
+        0xC78C, 0x480A, 0xC86A, 0x4913, 0xC915, 0x4A08, 0xCA51, 0x4AD3,
+        0xCAF2, 0x4B38, 0xCB97, 0x4C19, 0xCC95, 0x4E89, 0xCEFF, 0x4F00,
+        /*0xCF00*/};
+    std::initializer_list<uint16_t> output_vals_rz = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288,
+        0xC29A, 0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4475, 0xC45E, 0x44EC,
+        0xC500, 0x4580, 0xC60A, 0x4640, 0xC6A5, 0x46FF, 0xC700, 0x4788,
+        0xC78C, 0x4809, 0xC86A, 0x4912, 0xC915, 0x4A07, 0xCA51, 0x4AD2,
+        0xCAF2, 0x4B37, 0xCB97, 0x4C18, 0xCC95, 0x4E88, 0xCEFF, 0x4EFF,
+        /*0xCF00*/};
+    test_host(input_vals, output_vals_rd, F(__imf_int2bfloat16_rd));
+    test_host(input_vals, output_vals_rn, F(__imf_int2bfloat16_rn));
+    test_host(input_vals, output_vals_ru, F(__imf_int2bfloat16_ru));
+    test_host(input_vals, output_vals_rz, F(__imf_int2bfloat16_rz));
+    test(device_queue, input_vals, output_vals_rd, F(__imf_int2bfloat16_rd));
+    test(device_queue, input_vals, output_vals_rn, F(__imf_int2bfloat16_rn));
+    test(device_queue, input_vals, output_vals_ru, F(__imf_int2bfloat16_ru));
+    test(device_queue, input_vals, output_vals_rz, F(__imf_int2bfloat16_rz));
+  }
+
+  {
+    std::initializer_list<long long int> input_vals = {0,
+                                                       1,
+                                                       -2,
+                                                       4,
+                                                       -7,
+                                                       13,
+                                                       24,
+                                                       68,
+                                                       -77,
+                                                       128,
+                                                       -127,
+                                                       345,
+                                                       -498,
+                                                       982,
+                                                       -888,
+                                                       1888,
+                                                       -2048,
+                                                       4099,
+                                                       -8877,
+                                                       12345,
+                                                       -21234,
+                                                       32767,
+                                                       -32768,
+                                                       69891,
+                                                       -72000,
+                                                       141234,
+                                                       -239999,
+                                                       599192,
+                                                       -612934,
+                                                       2223456,
+                                                       -3424578,
+                                                       6888888,
+                                                       -7951238,
+                                                       12004541,
+                                                       -19889875,
+                                                       40001122,
+                                                       -78410987,
+                                                       1147483647,
+                                                       -2147483647,
+                                                       2147483647,
+                                                       -2147483648,
+                                                       LLONG_MAX,
+                                                       -834859343834504,
+                                                       287532947093842,
+                                                       1990112719930525};
+    std::initializer_list<uint16_t> output_vals_rd = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288, 0xC29A,
+        0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4475, 0xC45E, 0x44EC, 0xC500, 0x4580,
+        0xC60B, 0x4640, 0xC6A6, 0x46FF, 0xC700, 0x4788, 0xC78D, 0x4809, 0xC86B,
+        0x4912, 0xC916, 0x4A07, 0xCA52, 0x4AD2, 0xCAF3, 0x4B37, 0xCB98, 0x4C18,
+        0xCC96, 0x4E88, 0xCF00, 0x4EFF, 0xCF00, 0x5EFF, 0xD83E, 0x5782, 0x58E2};
+    std::initializer_list<uint16_t> output_vals_rn = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288, 0xC29A,
+        0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4476, 0xC45E, 0x44EC, 0xC500, 0x4580,
+        0xC60B, 0x4641, 0xC6A6, 0x4700, 0xC700, 0x4789, 0xC78D, 0x480A, 0xC86A,
+        0x4912, 0xC916, 0x4A08, 0xCA51, 0x4AD2, 0xCAF3, 0x4B37, 0xCB98, 0x4C19,
+        0xCC96, 0x4E89, 0xCF00, 0x4F00, 0xCF00, 0x5F00, 0xD83E, 0x5783, 0x58E2};
+    std::initializer_list<uint16_t> output_vals_ru = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288, 0xC29A,
+        0x4300, 0xC2FE, 0x43AD, 0xC3F9, 0x4476, 0xC45E, 0x44EC, 0xC500, 0x4581,
+        0xC60A, 0x4641, 0xC6A5, 0x4700, 0xC700, 0x4789, 0xC78C, 0x480A, 0xC86A,
+        0x4913, 0xC915, 0x4A08, 0xCA51, 0x4AD3, 0xCAF2, 0x4B38, 0xCB97, 0x4C19,
+        0xCC95, 0x4E89, 0xCEFF, 0x4F00, 0xCF00, 0x5F00, 0xD83D, 0x5783, 0x58E3};
+    std::initializer_list<uint16_t> output_vals_rz = {
+        0,      0x3F80, 0xC000, 0x4080, 0xC0E0, 0x4150, 0x41C0, 0x4288, 0xC29A,
+        0x4300, 0xC2FE, 0x43AC, 0xC3F9, 0x4475, 0xC45E, 0x44EC, 0xC500, 0x4580,
+        0xC60A, 0x4640, 0xC6A5, 0x46FF, 0xC700, 0x4788, 0xC78C, 0x4809, 0xC86A,
+        0x4912, 0xC915, 0x4A07, 0xCA51, 0x4AD2, 0xCAF2, 0x4B37, 0xCB97, 0x4C18,
+        0xCC95, 0x4E88, 0xCEFF, 0x4EFF, 0xCF00, 0x5EFF, 0xD83D, 0x5782, 0x58E2};
+    test_host(input_vals, output_vals_rd, F(__imf_ll2bfloat16_rd));
+    test_host(input_vals, output_vals_rn, F(__imf_ll2bfloat16_rn));
+    test_host(input_vals, output_vals_ru, F(__imf_ll2bfloat16_ru));
+    test_host(input_vals, output_vals_rz, F(__imf_ll2bfloat16_rz));
+    test(device_queue, input_vals, output_vals_rd, F(__imf_ll2bfloat16_rd));
+    test(device_queue, input_vals, output_vals_rn, F(__imf_ll2bfloat16_rn));
+    test(device_queue, input_vals, output_vals_ru, F(__imf_ll2bfloat16_ru));
+    test(device_queue, input_vals, output_vals_rz, F(__imf_ll2bfloat16_rz));
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_double2half.cpp b/sycl/test-e2e/DeviceLib/imf_double2half.cpp
new file mode 100644
index 0000000000000..24b3a2271debe
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_double2half.cpp
@@ -0,0 +1,61 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include "imf_utils.hpp"
+
+extern "C" {
+_iml_half_internal __imf_double2half(double);
+}
+
+int main() {
+
+  sycl::queue device_queue(sycl::default_selector_v);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<sycl::info::device::name>()
+            << "\n";
+
+  if (!device_queue.get_device().has(sycl::aspect::fp64)) {
+    std::cout << "Test skipped on platform without fp64 support." << std::endl;
+    return 0;
+  }
+
+  if (!device_queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Test skipped on platform without fp16 support." << std::endl;
+    return 0;
+  }
+
+  {
+    std::initializer_list<uint64_t> input_vals = {
+        0,                  // 0
+        0x7FF0000000000000, // +infinity
+        0xFFF0000000000000, // -infinity
+        0x4026800000000000, // 11.25
+        0x409025643C8E4F03, // 1033.3478872524
+        0x40EFFC0000000000, // 65504
+        0xC0EFFC0000000000, // -65504
+        0xC0D38814311F5D54, // -20000.31549820055245
+        0x409F9B8D12ACEFA7, // 2022.887766554
+        0x40ee120000000000, // 61584
+        0xC0EE160000000000, // -61616
+        0x40FAA93000000000, // 109203
+        0xC1A7D8B7FF20E365, // -200039423.56423487283
+        0x3C370EF54646D497, // 1.25e-18
+        0xBCB1B3CFC61ACF52, // -2.4567e-16
+        0x39F036448D68D482, // 1.2789e-29
+        0xB99C100A89BE0A2D, // -3.45899e-31
+    };
+    std::initializer_list<uint16_t> ref_vals = {
+        0,      0x7C00, 0xFC00, 0x49A0, 0x6409, 0x7BFF, 0xFBFF, 0xF4E2, 0x67E7,
+        0x7B84, 0xFB86, 0x7C00, 0xFC00, 0,      0x8000, 0,      0x8000};
+
+    test_host(input_vals, ref_vals, F_Half4(__imf_double2half));
+    test(device_queue, input_vals, ref_vals, F_Half4(__imf_double2half));
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_fp16_trivial_test.cpp b/sycl/test-e2e/DeviceLib/imf_fp16_trivial_test.cpp
new file mode 100644
index 0000000000000..5cc9425520716
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_fp16_trivial_test.cpp
@@ -0,0 +1,415 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: cuda || hip
+
+#include "imf_utils.hpp"
+#include <sycl/ext/intel/math.hpp>
+
+namespace sycl_imf = sycl::ext::intel::math;
+
+int main(int, char **) {
+  sycl::queue device_queue(sycl::default_selector_v);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<sycl::info::device::name>()
+            << "\n";
+
+  if (!device_queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Test skipped on platform without fp16 support." << std::endl;
+    return 0;
+  }
+
+  {
+    std::initializer_list<sycl::half> input_vals1 = {0.5f, -1.125f, 100.5f,
+                                                     0.f,  0.125f,  0.25f};
+    std::initializer_list<sycl::half> input_vals2 = {-6.625f, -11.25f, -88.125f,
+                                                     0.f,     0.625f,  0.f};
+    std::initializer_list<sycl::half> ref_vals = {-6.125f, -12.375f, 12.375f,
+                                                  0,       0.75f,    0.25f};
+    std::initializer_list<sycl::half> sat_ref_vals = {0.f, 0.f,   1.f,
+                                                      0.f, 0.75f, 0.25f};
+    std::initializer_list<sycl::half> ref_vals1 = {7.125f, 10.125f, 188.625f,
+                                                   0.f,    -0.5f,   0.25f};
+    std::initializer_list<sycl::half> sat_ref_vals1 = {1.f, 1.f, 1.f,
+                                                       0.f, 0.f, 0.25f};
+    std::initializer_list<sycl::half> ref_vals2 = {
+        -3.3125f, 12.65625f, -8856.5625f, 0.f, 0.078125f, 0.f};
+    std::initializer_list<sycl::half> sat_ref_vals2 = {0.f, 1.f,       0.f,
+                                                       0.f, 0.078125f, 0.f};
+    std::initializer_list<sycl::half> ref_vals3 = {-0.5f, 1.125f,  -100.5f,
+                                                   0.f,   -0.125f, -0.25f};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(sycl_imf::hadd));
+    std::cout << "hadd passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, sat_ref_vals,
+          F2(sycl_imf::hadd_sat));
+    std::cout << "hadd_sat passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals1,
+          F2(sycl_imf::hsub));
+    std::cout << "hsub passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, sat_ref_vals1,
+          F2(sycl_imf::hsub_sat));
+    std::cout << "hsub_sat passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2,
+          F2(sycl_imf::hmul));
+    std::cout << "hmul passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, sat_ref_vals2,
+          F2(sycl_imf::hmul_sat));
+    std::cout << "hmul_sat passes." << std::endl;
+    test(device_queue, input_vals1, ref_vals3, F(sycl_imf::hneg));
+    std::cout << "hneg passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<sycl::half> input_vals1 = {1.5f, 10.5, 0.75f, 0.75f};
+    std::initializer_list<sycl::half> input_vals2 = {2.5f, 2.75, 1.25f, -1.25f};
+    std::initializer_list<sycl::half> input_vals3 = {-3.25f, -8.375, -1.5f,
+                                                     1.5f};
+    std::initializer_list<sycl::half> ref_vals = {0.5f, 20.5f, -0.5625f,
+                                                  0.5625f};
+    std::initializer_list<sycl::half> sat_ref_vals = {0.5f, 1.f, 0.f, 0.5625f};
+    std::initializer_list<sycl::half> relu_ref_vals = {0.5f, 20.5f, -0.f,
+                                                       0.5625f};
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals,
+          F3(sycl_imf::hfma));
+    std::cout << "hfma passes." << std::endl;
+    test3(device_queue, input_vals1, input_vals2, input_vals3, sat_ref_vals,
+          F3(sycl_imf::hfma_sat));
+    std::cout << "hfma_sat passes." << std::endl;
+    test3(device_queue, input_vals1, input_vals2, input_vals3, relu_ref_vals,
+          F3(sycl_imf::hfma_relu));
+    std::cout << "hfma_relu passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<sycl::half> input_vals1 = {
+        0.5f, 99.41f, 1.0f, -0.25f, NAN, NAN, 21.9f, 99.2f};
+    std::initializer_list<sycl::half> input_vals2 = {
+        0.501f, 99.41f, 1.0f, -0.25f, 2.123f, NAN, -9.1f, 99.23f};
+    std::initializer_list<sycl::half> input_vals3 = {12.f, -99.f, INFINITY, 0.f,
+                                                     -INFINITY};
+    std::initializer_list<bool> ref_vals1 = {false, true,  true,  true,
+                                             false, false, false, false};
+    std::initializer_list<bool> ref_vals2 = {false, true, true,  true,
+                                             true,  true, false, false};
+    std::initializer_list<bool> ref_vals3 = {false, false, false, false,
+                                             false, false, true,  false};
+    std::initializer_list<bool> ref_vals4 = {false, false, false, false,
+                                             true,  true,  true,  false};
+    std::initializer_list<bool> ref_vals5 = {false, true,  true, true,
+                                             false, false, true, false};
+    std::initializer_list<bool> ref_vals6 = {false, true, true, true,
+                                             true,  true, true, false};
+    std::initializer_list<bool> ref_vals7 = {true,  false, false, false,
+                                             false, false, false, true};
+    std::initializer_list<bool> ref_vals8 = {true,  true,  true,  true,
+                                             false, false, false, true};
+    std::initializer_list<bool> ref_vals9 = {true, false, false, false,
+                                             true, true,  false, true};
+    std::initializer_list<bool> ref_vals10 = {true, true, true,  true,
+                                              true, true, false, true};
+    std::initializer_list<bool> ref_vals11 = {true,  false, false, false,
+                                              false, false, true,  true};
+    std::initializer_list<bool> ref_vals12 = {true, false, false, false,
+                                              true, true,  true,  true};
+    std::initializer_list<bool> ref_vals13 = {false, false, false, false,
+                                              true,  true,  false, false};
+    std::initializer_list<bool> ref_vals14 = {false, false, true, false, true};
+    test2(device_queue, input_vals1, input_vals2, ref_vals1, F2(sycl_imf::heq));
+    std::cout << "heq passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2,
+          F2(sycl_imf::hequ));
+    std::cout << "hequ passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals3, F2(sycl_imf::hgt));
+    std::cout << "hgt passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals4,
+          F2(sycl_imf::hgtu));
+    std::cout << "hgtu passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals5, F2(sycl_imf::hge));
+    std::cout << "hge passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals6,
+          F2(sycl_imf::hgeu));
+    std::cout << "hgeu passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals7, F2(sycl_imf::hlt));
+    std::cout << "hlt passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals8, F2(sycl_imf::hle));
+    std::cout << "hle passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals9,
+          F2(sycl_imf::hltu));
+    std::cout << "hltu passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals10,
+          F2(sycl_imf::hleu));
+    std::cout << "hleu passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals11,
+          F2(sycl_imf::hne));
+    std::cout << "hne passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals12,
+          F2(sycl_imf::hneu));
+    std::cout << "hneu passes." << std::endl;
+    test(device_queue, input_vals1, ref_vals13, F(sycl_imf::hisnan));
+    std::cout << "hisnan passes." << std::endl;
+    test(device_queue, input_vals3, ref_vals14, F(sycl_imf::hisinf));
+    std::cout << "hisinf passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<sycl::half2> input_vals1 = {
+        {1.5f, -0.5f}, {0.5f, -12.5f}, {-0.5f, 0.625f}, {2.5f, -0.75f}};
+    std::initializer_list<sycl::half2> input_vals2 = {
+        {0.25f, -1.375f}, {0.25f, 10.375f}, {-0.5f, 0.125f}, {3.f, 10.f}};
+    std::initializer_list<sycl::half2> input_vals3 = {
+        {0.375f, 1.4f}, {-5.125f, 130.25f}, {0.25f, -21.5f}, {-6.625f, 7.875f}};
+    std::initializer_list<sycl::half2> ref_vals1 = {
+        {1.75f, -1.875f}, {0.75f, -2.125f}, {-1.f, 0.75f}, {5.5f, 9.25f}};
+    std::initializer_list<sycl::half2> ref_vals2 = {
+        {1.f, 0.f}, {0.75f, 0.f}, {0.f, 0.75f}, {1.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals3 = {{0.375f, 0.6875f},
+                                                    {0.125f, -129.6875f},
+                                                    {0.25f, 0.078125f},
+                                                    {7.5f, -7.5f}};
+    std::initializer_list<sycl::half2> ref_vals4 = {
+        {0.375f, 0.6875f}, {0.125f, 0.f}, {0.25f, 0.078125f}, {1.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals5 = {
+        {6.f, 0.3636f}, {2.f, -1.20481f}, {1.f, 5.f}, {0.83333f, -0.075f}};
+    std::initializer_list<sycl::half2> ref_vals6 = {
+        {1.25f, 0.875f}, {0.25f, -22.875f}, {0.f, 0.5f}, {-0.5f, -10.75f}};
+    std::initializer_list<sycl::half2> ref_vals7 = {
+        {1.f, 0.875f}, {0.25f, 0.f}, {0.f, 0.5f}, {0.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals8 = {
+        {-1.5f, 0.5f}, {-0.5f, 12.5f}, {0.5f, -0.625f}, {-2.5f, 0.75f}};
+    std::initializer_list<sycl::half2> ref_vals9 = {{0.75f, 2.0875f},
+                                                    {-5.f, 0.5625f},
+                                                    {0.5f, -21.421875f},
+                                                    {0.875f, 0.375f}};
+    std::initializer_list<sycl::half2> ref_vals10 = {
+        {0.75f, 1.f}, {0.f, 0.5625f}, {0.5f, 0.f}, {0.875f, 0.375f}};
+    std::initializer_list<sycl::half2> ref_vals11 = {
+        {0.75f, 2.0875f}, {0.f, 0.5625f}, {0.5f, 0.f}, {0.875f, 0.375f}};
+    test2(device_queue, input_vals1, input_vals2, ref_vals1,
+          F2(sycl_imf::hadd2));
+    std::cout << "hadd2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2,
+          F2(sycl_imf::hadd2_sat));
+    std::cout << "hadd2_sat passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals3,
+          F2(sycl_imf::hmul2));
+    std::cout << "hmul2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals4,
+          F2(sycl_imf::hmul2_sat));
+    std::cout << "hmul2_sat passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals5,
+          F2(sycl_imf::h2div));
+    std::cout << "h2div passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals6,
+          F2(sycl_imf::hsub2));
+    std::cout << "hsub2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals7,
+          F2(sycl_imf::hsub2_sat));
+    std::cout << "hsub2_sat passes." << std::endl;
+    test(device_queue, input_vals1, ref_vals8, F(sycl_imf::hneg2));
+    std::cout << "hneg2 passes." << std::endl;
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals9,
+          F3(sycl_imf::hfma2));
+    std::cout << "hfma2 passes." << std::endl;
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals10,
+          F3(sycl_imf::hfma2_sat));
+    std::cout << "hfma2_sat passes." << std::endl;
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals11,
+          F3(sycl_imf::hfma2_relu));
+    std::cout << "hfma2_relu passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<sycl::half2> input_vals1 = {
+        {1.5f, -0.5f}, {1.5f, -0.5f},     {-11.25f, 19.375f}, {120.375f, 10.5f},
+        {NAN, 1.f},    {25.25f, -0.375f}, {NAN, 1.0f}};
+    std::initializer_list<sycl::half2> input_vals2 = {
+        {1.0f, -1.5f}, {1.58f, -0.4f},    {-11.25f, 18.5f}, {-230.5f, 10.5f},
+        {1.f, 1.f},    {25.25f, -0.375f}, {NAN, 2.0f}};
+    std::initializer_list<bool> ref_vals1 = {false, false, false, false,
+                                             false, true,  false};
+    std::initializer_list<bool> ref_vals2 = {false, false, false, false,
+                                             true,  true,  false};
+    std::initializer_list<bool> ref_vals3 = {true,  false, true, true,
+                                             false, true,  false};
+    std::initializer_list<bool> ref_vals4 = {true, false, true, true,
+                                             true, true,  false};
+    std::initializer_list<bool> ref_vals5 = {true,  false, false, false,
+                                             false, false, false};
+    std::initializer_list<bool> ref_vals6 = {true,  false, false, false,
+                                             false, false, false};
+    std::initializer_list<bool> ref_vals7 = {false, true, false, false,
+                                             false, true, false};
+    std::initializer_list<bool> ref_vals8 = {false, true, false, false,
+                                             true,  true, true};
+    std::initializer_list<bool> ref_vals9 = {false, true,  false, false,
+                                             false, false, false};
+    std::initializer_list<bool> ref_vals10 = {false, true,  false, false,
+                                              false, false, true};
+    std::initializer_list<bool> ref_vals11 = {true,  true,  false, false,
+                                              false, false, false};
+    std::initializer_list<bool> ref_vals12 = {true,  true,  false, false,
+                                              false, false, true};
+
+    std::initializer_list<sycl::half2> ref_vals13 = {
+        {0.f, 0.f}, {0.f, 0.f}, {1.f, 0.f}, {0.f, 1.f},
+        {0.f, 1.f}, {1.f, 1.f}, {0.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals14 = {
+        {0.f, 0.f}, {0.f, 0.f}, {1.f, 0.f}, {0.f, 1.f},
+        {1.f, 1.f}, {1.f, 1.f}, {1.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals15 = {
+        {1.f, 1.f}, {0.f, 0.f}, {1.f, 1.f}, {1.f, 1.f},
+        {0.f, 1.f}, {1.f, 1.f}, {0.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals16 = {
+        {1.f, 1.f}, {0.f, 0.f}, {1.f, 1.f}, {1.f, 1.f},
+        {1.f, 1.f}, {1.f, 1.f}, {1.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals17 = {
+        {1.f, 1.f}, {0.f, 0.f}, {0.f, 1.f}, {1.f, 0.f},
+        {0.f, 0.f}, {0.f, 0.f}, {0.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals18 = {
+        {1.f, 1.f}, {0.f, 0.f}, {0.f, 1.f}, {1.f, 0.f},
+        {1.f, 0.f}, {0.f, 0.f}, {1.f, 0.f}};
+    std::initializer_list<sycl::half2> ref_vals19 = {
+        {0.f, 0.f}, {1.f, 1.f}, {1.f, 0.f}, {0.f, 1.f},
+        {0.f, 1.f}, {1.f, 1.f}, {0.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals20 = {
+        {0.f, 0.f}, {1.f, 1.f}, {1.f, 0.f}, {0.f, 1.f},
+        {1.f, 1.f}, {1.f, 1.f}, {1.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals21 = {
+        {0.f, 0.f}, {1.f, 1.f}, {0.f, 0.f}, {0.f, 0.f},
+        {0.f, 0.f}, {0.f, 0.f}, {0.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals22 = {
+        {0.f, 0.f}, {1.f, 1.f}, {0.f, 0.f}, {0.f, 0.f},
+        {1.f, 0.f}, {0.f, 0.f}, {1.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals23 = {
+        {1.f, 1.f}, {1.f, 1.f}, {0.f, 1.f}, {1.f, 0.f},
+        {0.f, 0.f}, {0.f, 0.f}, {0.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals24 = {
+        {1.f, 1.f}, {1.f, 1.f}, {0.f, 1.f}, {1.f, 0.f},
+        {1.f, 0.f}, {0.f, 0.f}, {1.f, 1.f}};
+    std::initializer_list<sycl::half2> ref_vals25 = {
+        {0.f, 0.f}, {0.f, 0.f}, {0.f, 0.f}, {0.f, 0.f},
+        {1.f, 0.f}, {0.f, 0.f}, {1.f, 0.f}};
+
+    test2(device_queue, input_vals1, input_vals2, ref_vals1,
+          F2(sycl_imf::hbeq2));
+    std::cout << "hbeq2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2,
+          F2(sycl_imf::hbequ2));
+    std::cout << "hbequ2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals3,
+          F2(sycl_imf::hbge2));
+    std::cout << "hbge2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals4,
+          F2(sycl_imf::hbgeu2));
+    std::cout << "hbgeu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals5,
+          F2(sycl_imf::hbgt2));
+    std::cout << "hbgt2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals6,
+          F2(sycl_imf::hbgtu2));
+    std::cout << "hbgtu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals7,
+          F2(sycl_imf::hble2));
+    std::cout << "hble2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals8,
+          F2(sycl_imf::hbleu2));
+    std::cout << "hbleu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals9,
+          F2(sycl_imf::hblt2));
+    std::cout << "hblt2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals10,
+          F2(sycl_imf::hbltu2));
+    std::cout << "hbltu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals11,
+          F2(sycl_imf::hbne2));
+    std::cout << "hbne2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals12,
+          F2(sycl_imf::hbneu2));
+    std::cout << "hbneu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals13,
+          F2(sycl_imf::heq2));
+    std::cout << "heq2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals14,
+          F2(sycl_imf::hequ2));
+    std::cout << "hequ2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals15,
+          F2(sycl_imf::hge2));
+    std::cout << "hge2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals16,
+          F2(sycl_imf::hgeu2));
+    std::cout << "hgeu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals17,
+          F2(sycl_imf::hgt2));
+    std::cout << "hgt2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals18,
+          F2(sycl_imf::hgtu2));
+    std::cout << "hgtu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals19,
+          F2(sycl_imf::hle2));
+    std::cout << "hle2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals20,
+          F2(sycl_imf::hleu2));
+    std::cout << "hleu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals21,
+          F2(sycl_imf::hlt2));
+    std::cout << "hlt2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals22,
+          F2(sycl_imf::hltu2));
+    std::cout << "hltu2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals23,
+          F2(sycl_imf::hne2));
+    std::cout << "hne2 passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals24,
+          F2(sycl_imf::hneu2));
+    std::cout << "hneu2 passes." << std::endl;
+    test(device_queue, input_vals1, ref_vals25, F(sycl_imf::hisnan2));
+    std::cout << "hisnan2 passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<sycl::half> input_vals1 = {1.5f, -0.5f, -100.125f,
+                                                     NAN};
+    std::initializer_list<sycl::half> input_vals2 = {11.25f, -1.25f, 10.5f,
+                                                     0.f};
+    std::initializer_list<sycl::half2> input_vals3 = {{-1.5f, 0.25f},
+                                                      {2.5f, -100.375f},
+                                                      {-1.5f, -22.25f},
+                                                      {100.f, 20.5f},
+                                                      {0.f, 0.f}};
+    std::initializer_list<sycl::half> ref_vals1 = {11.25f, -0.5f, 10.5f, 0.f};
+    std::initializer_list<sycl::half> ref_vals2 = {1.5f, -1.25f, -100.125f,
+                                                   0.f};
+    std::initializer_list<sycl::half> ref_vals3 = {11.25f, 1.25f, 10.5f, 0.f};
+    std::initializer_list<sycl::half2> ref_vals4 = {{1.5f, 0.25f},
+                                                    {2.5f, 100.375f},
+                                                    {1.5f, 22.25f},
+                                                    {100.f, 20.5f},
+                                                    {0.f, 0.f}};
+    test2(device_queue, input_vals1, input_vals2, ref_vals1,
+          F2(sycl_imf::hmax));
+    std::cout << "hmax passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2,
+          F2(sycl_imf::hmin));
+    std::cout << "hmin passes." << std::endl;
+    test(device_queue, input_vals2, ref_vals3, F(sycl_imf::habs));
+    std::cout << "habs passes." << std::endl;
+    test(device_queue, input_vals3, ref_vals4, F(sycl_imf::habs2));
+    std::cout << "habs2 passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<sycl::half2> input_vals1 = {
+        {1.0f, -2.0f}, {9.5f, -2.25f}, {10.f, 21.f}, {-12.5f, 2.25f}};
+    std::initializer_list<sycl::half2> input_vals2 = {
+        {9.375f, 3.0f}, {-1.f, 2.25f}, {2.5f, 1.f}, {0.f, 6.f}};
+    std::initializer_list<sycl::half2> input_vals3 = {
+        {8.f, 4.0f}, {1.f, -20.f}, {3.5f, -1.f}, {10.f, -2.f}};
+    std::initializer_list<sycl::half2> ref_vals = {
+        {23.375f, -11.75f}, {-3.4375f, 3.625f}, {7.5f, 61.5f}, {-3.5f, -77.f}};
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals,
+          F3(sycl_imf::hcmadd));
+    std::cout << "hcmadd passes." << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_fp32_test.cpp b/sycl/test-e2e/DeviceLib/imf_fp32_test.cpp
new file mode 100644
index 0000000000000..659d32ac32fdb
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_fp32_test.cpp
@@ -0,0 +1,684 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include "imf_utils.hpp"
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+extern "C" {
+int __imf_float2int_rd(float);
+int __imf_float2int_rn(float);
+int __imf_float2int_ru(float);
+int __imf_float2int_rz(float);
+long long __imf_float2ll_rd(float);
+long long __imf_float2ll_rn(float);
+long long __imf_float2ll_ru(float);
+long long __imf_float2ll_rz(float);
+unsigned __imf_float2uint_rd(float);
+unsigned __imf_float2uint_rn(float);
+unsigned __imf_float2uint_ru(float);
+unsigned __imf_float2uint_rz(float);
+unsigned long long __imf_float2ull_rd(float);
+unsigned long long __imf_float2ull_rn(float);
+unsigned long long __imf_float2ull_ru(float);
+unsigned long long __imf_float2ull_rz(float);
+int __imf_float_as_int(float);
+unsigned __imf_float_as_uint(float);
+float __imf_int2float_rd(int);
+float __imf_int2float_rn(int);
+float __imf_int2float_ru(int);
+float __imf_int2float_rz(int);
+float __imf_ll2float_rd(long long);
+float __imf_ll2float_rn(long long);
+float __imf_ll2float_ru(long long);
+float __imf_ll2float_rz(long long);
+float __imf_ull2float_rd(unsigned long long);
+float __imf_ull2float_rn(unsigned long long);
+float __imf_ull2float_ru(unsigned long long);
+float __imf_ull2float_rz(unsigned long long);
+float __imf_uint2float_rd(unsigned);
+float __imf_uint2float_rn(unsigned);
+float __imf_uint2float_ru(unsigned);
+float __imf_uint2float_rz(unsigned);
+float __imf_uint_as_float(unsigned);
+float __imf_int_as_float(int);
+unsigned __imf_brev(unsigned);
+unsigned long long __imf_brevll(unsigned long long);
+unsigned __imf_byte_perm(unsigned, unsigned, unsigned);
+long long __imf_llmax(long long x, long long y);
+long long __imf_llmin(long long x, long long y);
+unsigned long long __imf_ullmax(unsigned long long x, unsigned long long y);
+unsigned long long __imf_ullmin(unsigned long long x, unsigned long long y);
+unsigned __imf_umax(unsigned x, unsigned y);
+unsigned __imf_umin(unsigned x, unsigned y);
+int __imf_clz(int);
+int __imf_clzll(long long);
+int __imf_ffs(int);
+int __imf_ffsll(long long);
+int __imf_mul24(int, int);
+int __imf_mulhi(int, int);
+long long __imf_mul64hi(long long, long long);
+int __imf_popc(unsigned);
+int __imf_popcll(unsigned long long);
+int __imf_rhadd(int, int);
+unsigned __imf_sad(int, int, unsigned);
+unsigned __imf_uhadd(unsigned, unsigned);
+unsigned __imf_umul24(unsigned, unsigned);
+unsigned __imf_umulhi(unsigned, unsigned);
+unsigned long long __imf_umul64hi(unsigned long long, unsigned long long);
+unsigned __imf_urhadd(unsigned, unsigned);
+unsigned __imf_usad(unsigned, unsigned, unsigned);
+}
+
+int main(int, char **) {
+  s::queue device_queue(s::default_selector_v);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<s::info::device::name>()
+            << "\n";
+
+  {
+    std::initializer_list<float> input_vals = {
+        0.0,           2.5,           23.34577463, 12387737.23232,
+        -41.324938243, -9.1232335E+8, 9.54E-20,    -3.98726272938E+8};
+
+    std::initializer_list<int> ref_vals_rd = {0,   2,          23, 12387737,
+                                              -42, -912323328, 0,  -398726272};
+    std::initializer_list<int> ref_vals_rn = {0,   2,          23, 12387737,
+                                              -41, -912323328, 0,  -398726272};
+    std::initializer_list<int> ref_vals_ru = {0,   3,          24, 12387737,
+                                              -41, -912323328, 1,  -398726272};
+    std::initializer_list<int> ref_vals_rz = {0,   2,          23, 12387737,
+                                              -41, -912323328, 0,  -398726272};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_float2int_rd));
+    std::cout << "float2int_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_float2int_rn));
+    std::cout << "float2int_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_float2int_ru));
+    std::cout << "float2int_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_float2int_rz));
+    std::cout << "float2int_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<float> input_vals = {0.0,
+                                               2.5,
+                                               23.3457746363636,
+                                               12387737.2323233232E+8,
+                                               -41.3249382432435,
+                                               -9.123233527373837E+17,
+                                               9.54E-20,
+                                               -3.9872627293918E+16};
+
+    std::initializer_list<long long> ref_vals_rd = {0,   2,
+                                                    23,  1238773660647424,
+                                                    -42, -912323346559926272,
+                                                    0,   -39872625245159424};
+    std::initializer_list<long long> ref_vals_rn = {0,   2,
+                                                    23,  1238773660647424,
+                                                    -41, -912323346559926272,
+                                                    0,   -39872625245159424};
+    std::initializer_list<long long> ref_vals_ru = {0,   3,
+                                                    24,  1238773660647424,
+                                                    -41, -912323346559926272,
+                                                    1,   -39872625245159424};
+    std::initializer_list<long long> ref_vals_rz = {0,   2,
+                                                    23,  1238773660647424,
+                                                    -41, -912323346559926272,
+                                                    0,   -39872625245159424};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_float2ll_rd));
+    std::cout << "float2ll_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_float2ll_rn));
+    std::cout << "float2ll_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_float2ll_ru));
+    std::cout << "float2ll_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_float2ll_rz));
+    std::cout << "float2ll_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<float> input_vals = {0.0,
+                                               2.5,
+                                               23.3457746363636,
+                                               12387.23232,
+                                               -41.3249382432435,
+                                               3.038789876983E+9,
+                                               9.54E-20,
+                                               4.10487585E+3};
+
+    std::initializer_list<unsigned int> ref_vals_rd = {0, 2,          23, 12387,
+                                                       0, 3038789888, 0,  4104};
+    std::initializer_list<unsigned int> ref_vals_rn = {0, 2,          23, 12387,
+                                                       0, 3038789888, 0,  4105};
+    std::initializer_list<unsigned int> ref_vals_ru = {0, 3,          24, 12388,
+                                                       0, 3038789888, 1,  4105};
+    std::initializer_list<unsigned int> ref_vals_rz = {0, 2,          23, 12387,
+                                                       0, 3038789888, 0,  4104};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_float2uint_rd));
+    std::cout << "float2uint_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_float2uint_rn));
+    std::cout << "float2uint_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_float2uint_ru));
+    std::cout << "float2uint_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_float2uint_rz));
+    std::cout << "float2uint_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<float> input_vals = {0.0,
+                                               2.5,
+                                               23.3457746363636,
+                                               12387737.2323233232E+8,
+                                               -41.3249382432435,
+                                               1.7665949E+4,
+                                               9.54E-20,
+                                               9.9872627232E+16};
+    std::initializer_list<unsigned long long> ref_vals_rd = {
+        0, 2, 23, 1238773660647424, 0, 17665, 0, 99872626880544768};
+    std::initializer_list<unsigned long long> ref_vals_rn = {
+        0, 2, 23, 1238773660647424, 0, 17666, 0, 99872626880544768};
+    std::initializer_list<unsigned long long> ref_vals_ru = {
+        0, 3, 24, 1238773660647424, 0, 17666, 1, 99872626880544768};
+    std::initializer_list<unsigned long long> ref_vals_rz = {
+        0, 2, 23, 1238773660647424, 0, 17665, 0, 99872626880544768};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_float2ull_rd));
+    std::cout << "float2ull_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_float2ull_rn));
+    std::cout << "float2ull_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_float2ull_ru));
+    std::cout << "float2ull_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_float2ull_rz));
+    std::cout << "float2ull_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<float> input_vals = {
+        0,           2.5,          23.56774234, -12.43332432434, 9.564324E+25,
+        -6.3212E-19, -9.49823E-20, 4.321993E+18};
+    std::initializer_list<int> ref_vals = {0,           1075838976, 1102875324,
+                                           -1052315931, 1788754557, -1589997149,
+                                           -1612692153, 1584393015};
+    test(device_queue, input_vals, ref_vals, F(__imf_float_as_int));
+    std::cout << "float_as_int passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<float> input_vals = {
+        0,           2.5,          23.56774234, -12.43332432434, 9.564324E+25,
+        -6.3212E-19, -9.49823E-20, 4.321993E+18};
+    std::initializer_list<unsigned int> ref_vals = {
+        0,          1075838976, 1102875324, 3242651365,
+        1788754557, 2704970147, 2682275143, 1584393015};
+    test(device_queue, input_vals, ref_vals, F(__imf_float_as_uint));
+    std::cout << "float_as_uint passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0, 6364, -9383, -783, 958584758, -944866283, 2147483647, -2147483647};
+    std::initializer_list<unsigned int> ref_vals_rd = {
+        0,          0x45c6e000, 0xc6129c00, 0xc443c000,
+        0x4e648b5e, 0xce614610, 0x4effffff, 0xcf000000};
+    std::initializer_list<unsigned int> ref_vals_rn = {
+        0,          0x45c6e000, 0xc6129c00, 0xc443c000,
+        0x4e648b5f, 0xce614610, 0x4f000000, 0xcf000000};
+    std::initializer_list<unsigned int> ref_vals_ru = {
+        0,          0x45c6e000, 0xc6129c00, 0xc443c000,
+        0x4e648b5f, 0xce61460f, 0x4f000000, 0xceffffff};
+    std::initializer_list<unsigned int> ref_vals_rz = {
+        0,          0x45c6e000, 0xc6129c00, 0xc443c000,
+        0x4e648b5e, 0xce61460f, 0x4effffff, 0xceffffff};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned, __imf_int2float_rd));
+    std::cout << "int2float_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned, __imf_int2float_rn));
+    std::cout << "int2float_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned, __imf_int2float_ru));
+    std::cout << "int2float_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned, __imf_int2float_rz));
+    std::cout << "int2float_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<long long> input_vals = {0,
+                                                   9383,
+                                                   -783,
+                                                   2258584758,
+                                                   -4284866283,
+                                                   9223372036854775807,
+                                                   -9223372036854775807,
+                                                   9197372036855684605};
+    std::initializer_list<unsigned int> ref_vals_rd = {
+        0,          0x46129c00, 0xc443c000, 0x4f069f44,
+        0xcf7f65df, 0x5effffff, 0xdf000000, 0x5eff4742};
+    std::initializer_list<unsigned int> ref_vals_rn = {
+        0,          0x46129c00, 0xc443c000, 0x4f069f45,
+        0xcf7f65df, 0x5f000000, 0xdf000000, 0x5eff4742};
+    std::initializer_list<unsigned int> ref_vals_ru = {
+        0,          0x46129c00, 0xc443c000, 0x4f069f45,
+        0xcf7f65de, 0x5f000000, 0xdeffffff, 0x5eff4743};
+    std::initializer_list<unsigned int> ref_vals_rz = {
+        0,          0x46129c00, 0xc443c000, 0x4f069f44,
+        0xcf7f65de, 0x5effffff, 0xdeffffff, 0x5eff4742};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned, __imf_ll2float_rd));
+    std::cout << "ll2float_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned, __imf_ll2float_rn));
+    std::cout << "ll2float_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned, __imf_ll2float_ru));
+    std::cout << "ll2float_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned, __imf_ll2float_rz));
+    std::cout << "ll2float_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals = {
+        0,
+        9383,
+        783,
+        2258584758,
+        9284866283883838383U,
+        12223372036854775807U,
+        18446744073709551615U,
+        9197372036855684605U};
+    std::initializer_list<unsigned int> ref_vals_rd = {
+        0,          0x46129c00, 0x4443c000, 0x4f069f44,
+        0x5f00da78, 0x5f29a224, 0x5f7fffff, 0x5eff4742};
+    std::initializer_list<unsigned int> ref_vals_rn = {
+        0,          0x46129c00, 0x4443c000, 0x4f069f45,
+        0x5f00da79, 0x5f29a224, 0x5f800000, 0x5eff4742};
+    std::initializer_list<unsigned int> ref_vals_ru = {
+        0,          0x46129c00, 0x4443c000, 0x4f069f45,
+        0x5f00da79, 0x5f29a225, 0x5f800000, 0x5eff4743};
+    std::initializer_list<unsigned int> ref_vals_rz = {
+        0,          0x46129c00, 0x4443c000, 0x4f069f44,
+        0x5f00da78, 0x5f29a224, 0x5f7fffff, 0x5eff4742};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned, __imf_ull2float_rd));
+    std::cout << "ull2float_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned, __imf_ull2float_rn));
+    std::cout << "ull2float_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned, __imf_ull2float_ru));
+    std::cout << "ull2float_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned, __imf_ull2float_rz));
+    std::cout << "ull2float_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned int> input_vals = {
+        0,         6364,       983283,     7373783,
+        958584758, 2844866283, 3947483647, 4294967295};
+    std::initializer_list<unsigned int> ref_vals_rd = {
+        0,          0x45c6e000, 0x49700f30, 0x4ae107ae,
+        0x4e648b5e, 0x4f299136, 0x4f6b49d1, 0x4f7fffff};
+    std::initializer_list<unsigned int> ref_vals_rn = {
+        0,          0x45c6e000, 0x49700f30, 0x4ae107ae,
+        0x4e648b5f, 0x4f299137, 0x4f6b49d2, 0x4f800000};
+    std::initializer_list<unsigned int> ref_vals_ru = {
+        0,          0x45c6e000, 0x49700f30, 0x4ae107ae,
+        0x4e648b5f, 0x4f299137, 0x4f6b49d2, 0x4f800000};
+    std::initializer_list<unsigned int> ref_vals_rz = {
+        0,          0x45c6e000, 0x49700f30, 0x4ae107ae,
+        0x4e648b5e, 0x4f299136, 0x4f6b49d1, 0x4f7fffff};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned, __imf_uint2float_rd));
+    std::cout << "uint2float_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned, __imf_uint2float_rn));
+    std::cout << "uint2float_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned, __imf_uint2float_ru));
+    std::cout << "uint2float_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned, __imf_uint2float_rz));
+    std::cout << "uint2float_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned int> input_vals = {
+        0,          1075838976, 1120485376, 3296331776,
+        1094254592, 3255377920, 1120290816, 3319004448};
+    std::initializer_list<float> ref_vals = {0,         2.5,         100.625,
+                                             -1000.125, 11.5625,     -34.28125,
+                                             99.140625, -6783.640625};
+    test(device_queue, input_vals, ref_vals, F(__imf_uint_as_float));
+    std::cout << "uint_as_float passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0,          1075838976,  1120485376, -998635520,
+        1094254592, -1039589376, 1120290816, -975962848};
+    std::initializer_list<float> ref_vals = {0,         2.5,         100.625,
+                                             -1000.125, 11.5625,     -34.28125,
+                                             99.140625, -6783.640625};
+    test(device_queue, input_vals, ref_vals, F(__imf_int_as_float));
+    std::cout << "int_as_float passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals = {
+        0,          1,          0x98324,    0xFFFFFFFF,
+        0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+    std::initializer_list<unsigned> ref_vals = {
+        0,          0x80000000, 0x24c19000, 0xFFFFFFFF,
+        0x19D57B7F, 0x1E6A2C48, 0xE49933DD, 0x6E83D905};
+    test(device_queue, input_vals, ref_vals, F(__imf_brev));
+    std::cout << "brev passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals = {0,
+                                                            1,
+                                                            0x98324,
+                                                            0xFFFFFFFFFFFFFFFF,
+                                                            0xF0CAFEDEAB98DB1C,
+                                                            0x6364123456789093,
+                                                            0xAAFFBBCC9927DDEE,
+                                                            0x35CCA09BC176EE87};
+    std::initializer_list<unsigned long long> ref_vals = {0,
+                                                          0x8000000000000000,
+                                                          0x24C1900000000000,
+                                                          0xFFFFFFFFFFFFFFFF,
+                                                          0x38DB19D57B7F530F,
+                                                          0xC9091E6A2C4826C6,
+                                                          0x77BBE49933DDFF55,
+                                                          0xE1776E83D90533AC};
+    test(device_queue, input_vals, ref_vals, F(__imf_brevll));
+    std::cout << "brevll passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0, 1, 98737322, -102838382, 2147483647, -2147483648, 840193321, 36361};
+    std::initializer_list<int> ref_vals = {32, 31, 5, 0, 1, 0, 2, 16};
+    test(device_queue, input_vals, ref_vals, F(__imf_clz));
+    std::cout << "clz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<long long> input_vals = {0,
+                                                   1,
+                                                   9223372036854775807,
+                                                   -102838382,
+                                                   214748364992,
+                                                   7882147483648,
+                                                   840193321938383338,
+                                                   36361};
+    std::initializer_list<int> ref_vals = {64, 63, 1, 0, 26, 21, 4, 48};
+    test(device_queue, input_vals, ref_vals, F(__imf_clzll));
+    std::cout << "clzll passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0, 1, 98737328, -102838382, -2147483648, -2047441324, 840193321, 36360};
+    std::initializer_list<int> ref_vals = {0, 1, 5, 2, 32, 3, 1, 4};
+    test(device_queue, input_vals, ref_vals, F(__imf_ffs));
+    std::cout << "ffs passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<long long> input_vals = {0,
+                                                   1,
+                                                   9223372036854775807,
+                                                   -102838382,
+                                                   214748364992,
+                                                   7882147483648,
+                                                   840193321938383338,
+                                                   -92233720368547808};
+    std::initializer_list<int> ref_vals = {0, 1, 1, 2, 7, 13, 2, 6};
+    test(device_queue, input_vals, ref_vals, F(__imf_ffsll));
+    std::cout << "ffsll passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals = {
+        0, 1, 98737328, 102838382, 3147483648, 2947441324, 840193321, 36360};
+    std::initializer_list<int> ref_vals = {0, 1, 13, 11, 14, 18, 12, 5};
+    test(device_queue, input_vals, ref_vals, F(__imf_popc));
+    std::cout << "popc passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals = {
+        0,
+        1,
+        10223372036854775807ULL,
+        102838382,
+        214748364992,
+        7882147483648,
+        840193321938383338,
+        92233720368547808};
+    std::initializer_list<int> ref_vals = {0, 1, 42, 11, 5, 17, 37, 28};
+    test(device_queue, input_vals, ref_vals, F(__imf_popcll));
+    std::cout << "popcll passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals1 = {0,    999,      8283838, -166,
+                                              8324, -1123492, 7646211, -654212};
+    std::initializer_list<int> input_vals2 = {100,   819933,  -322,  6832322,
+                                              88324, 6666483, 92212, 100};
+    std::initializer_list<int> ref_vals = {0,           819113067, 1627571460,
+                                           -1134165452, 735208976, 682645588,
+                                           697772188,   -65421200};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_mul24));
+    std::cout << "mul24 passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals1 = {
+        0, 999, 982838387, -166, 8324, -1123492, 7646211, -165421294};
+    std::initializer_list<int> input_vals2 = {
+        100, 819933, -99222322, 6832322, 88324, 6666483, 92212, 100};
+    std::initializer_list<int> ref_vals = {0, 0,     -22705530, -1,
+                                           0, -1744, 164,       -4};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_mulhi));
+    std::cout << "mulhi passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<long long> input_vals1 = {0,
+                                                    999,
+                                                    8198283838781,
+                                                    -1668897765548765876,
+                                                    832499998311,
+                                                    -1123492,
+                                                    76462116766547976,
+                                                    -54541165421294};
+    std::initializer_list<long long> input_vals2 = {
+        100,       819933,       -99222322,          911268323228583722,
+        788321204, 111236666483, 992212711123456789, 9100000};
+    std::initializer_list<long long> ref_vals = {
+        0, 0, -45, -82443474164041221, 35, -1, 4112741190099812, -27};
+    std::initializer_list<long long> ref_vals1 = {
+        100,          819933,       8198283838781,      911268323228583722,
+        832499998311, 111236666483, 992212711123456789, 9100000};
+    std::initializer_list<long long> ref_vals2 = {
+        0,         999,      -99222322,         -1668897765548765876,
+        788321204, -1123492, 76462116766547976, -54541165421294};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_mul64hi));
+    std::cout << "mul64hi passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals1, F2(__imf_llmax));
+    std::cout << "llmax passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2, F2(__imf_llmin));
+    std::cout << "llmin passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals1 = {
+        0, 999, 8283835, -166, 1832499282, -1123492, -1117646211, 2147483647};
+    std::initializer_list<int> input_vals2 = {99,          819933,     -322,
+                                              6832322,     1992983587, 6666483,
+                                              -2000002194, 2147483646};
+    std::initializer_list<int> ref_vals = {50,          410466,     4141757,
+                                           3416078,     1912741435, 2771496,
+                                           -1558824202, 2147483647};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_rhadd));
+    std::cout << "rhadd passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals1 = {
+        0,          999,        8283835,    4294967289,
+        1832499282, 3991123492, 1117646211, 2147483647};
+    std::initializer_list<unsigned> input_vals2 = {
+        99,         819933,     99898322,   6832322,
+        1992983587, 3896666483, 2000002194, 2147483646};
+    std::initializer_list<unsigned> ref_vals = {
+        49,         410466,     54091078,   2150899805,
+        1912741434, 3943894987, 1558824202, 2147483646};
+    std::initializer_list<unsigned int> ref_vals1 = {
+        99,         819933,     99898322,   4294967289,
+        1992983587, 3991123492, 2000002194, 2147483647};
+    std::initializer_list<unsigned int> ref_vals2 = {
+        0,          999,        8283835,    6832322,
+        1832499282, 3896666483, 1117646211, 2147483646};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_uhadd));
+    std::cout << "uhadd passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals1, F2(__imf_umax));
+    std::cout << "umax passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2, F2(__imf_umin));
+    std::cout << "umin passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals1 = {
+        0, 999, 828388, 16666107, 8324, 1123492, 7646211, 16777215};
+    std::initializer_list<unsigned> input_vals2 = {
+        100, 819933, 8333107, 6832322, 88324, 6666483, 92212, 100};
+    std::initializer_list<unsigned> ref_vals = {
+        0,         819113067,  1033396844, 36558902,
+        735208976, 3612321708, 697772188,  1677721500};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_umul24));
+    std::cout << "umul24 passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals1 = {
+        0, 999, 982838387, 9166, 8324, 1123492, 7646211, 165421294};
+    std::initializer_list<unsigned> input_vals2 = {
+        100, 78199338, 99222322, 796832322, 88324, 6666483, 92212, 4294967295};
+    std::initializer_list<unsigned> ref_vals = {0, 18,   22705529, 1700,
+                                                0, 1743, 164,      165421293};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_umulhi));
+    std::cout << "umulhi passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals1 = {
+        0,
+        999,
+        819828383878191124,
+        12668897765548765876ULL,
+        832499998311,
+        1123492,
+        76462116766547976,
+        9769854541165421294ULL};
+    std::initializer_list<unsigned long long> input_vals2 = {
+        100,       819933,       1199217699222322,   911268323228583722,
+        788321204, 111236666483, 992212711123456789, 910008700};
+    std::initializer_list<unsigned long long> ref_vals = {
+        0,  0, 53296815109651,   625842976832950555,
+        35, 0, 4112741190099812, 481963244};
+    std::initializer_list<unsigned long long> ref_vals1 = {
+        100,          819933,       819828383878191124, 12668897765548765876ULL,
+        832499998311, 111236666483, 992212711123456789, 9769854541165421294ULL};
+    std::initializer_list<unsigned long long> ref_vals2 = {
+        0,         999,     1199217699222322,  911268323228583722,
+        788321204, 1123492, 76462116766547976, 910008700};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_umul64hi));
+    std::cout << "umul64hi passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals1, F2(__imf_ullmax));
+    std::cout << "ullmax passes." << std::endl;
+    test2(device_queue, input_vals1, input_vals2, ref_vals2, F2(__imf_ullmin));
+    std::cout << "ullmin passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals1 = {
+        0,          999,     1828383509, 4294967295,
+        1832499282, 1123492, 3117646211, 3147483647};
+    std::initializer_list<unsigned> input_vals2 = {
+        99,         819933,  1322009876, 16832322,
+        3992983587, 6666483, 2000002194, 4147483646};
+    std::initializer_list<unsigned> ref_vals = {
+        50,         410466,  1575196693, 2155899809,
+        2912741435, 3894988, 2558824203, 3647483647};
+    test2(device_queue, input_vals1, input_vals2, ref_vals, F2(__imf_urhadd));
+    std::cout << "urhadd passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals1 = {
+        0,          1,          0x98324,    0xFFFFFFFF,
+        0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+    std::initializer_list<unsigned> input_vals2 = {
+        0,          1,          0x8372833,  0xFFFFFFFF,
+        0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+    std::initializer_list<unsigned> input_vals3 = {
+        0x98C688A1, 0x9912FFEA, 0x0,        0xABCD9871,
+        0x8976BAC1, 0xCC901ABC, 0xBCEFF681, 0x99AACEDF};
+    std::initializer_list<unsigned> ref_vals = {
+        0,          0,          0x24242424, 0xFFFFFFFF,
+        0xFEDE92AB, 0x56341283, 0x9aa32799, 0x7821273};
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals,
+          F3(__imf_byte_perm));
+    std::cout << "byte_perm passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals1 = {
+        0, 999, 8283835, -166, 1832499282, -1123492, -1117646211, 2147483647};
+    std::initializer_list<int> input_vals2 = {99,          819933,     -322,
+                                              6832322,     1992983587, 6666483,
+                                              -2000002194, 2147483646};
+    std::initializer_list<unsigned> input_vals3 = {
+        2147483648, 3000000100, 200, 10224, 3200000001, 4000109871, 0, 1};
+    std::initializer_list<unsigned> ref_vals = {
+        2147483747, 3000819034, 8284357,   6842712,
+        3360484306, 4007899846, 882355983, 2};
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals,
+          F3(__imf_sad));
+    std::cout << "sad passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals1 = {
+        0,          999,     8283835,    3987654166,
+        1832499282, 1123492, 1117646211, 3147483647};
+    std::initializer_list<unsigned> input_vals2 = {
+        99,         4294967295, 322,        6832322,
+        1992983587, 6666483,    2000002194, 2147483646};
+    std::initializer_list<unsigned> input_vals3 = {
+        2147483648, 12, 200, 10224, 3200000001, 4000109871, 0, 1};
+    std::initializer_list<unsigned> ref_vals = {
+        2147483747, 4294966308, 8283713,   3980832068,
+        3360484306, 4005652862, 882355983, 1000000002};
+    test3(device_queue, input_vals1, input_vals2, input_vals3, ref_vals,
+          F3(__imf_usad));
+    std::cout << "usad passes." << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_fp64_test.cpp b/sycl/test-e2e/DeviceLib/imf_fp64_test.cpp
new file mode 100644
index 0000000000000..7be6a29c127ea
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_fp64_test.cpp
@@ -0,0 +1,442 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include "imf_utils.hpp"
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+extern "C" {
+float __imf_double2float_rd(double);
+float __imf_double2float_rn(double);
+float __imf_double2float_ru(double);
+float __imf_double2float_rz(double);
+int __imf_double2hiint(double);
+int __imf_double2loint(double);
+int __imf_double2int_rd(double);
+int __imf_double2int_rn(double);
+int __imf_double2int_ru(double);
+int __imf_double2int_rz(double);
+long long __imf_double2ll_rd(double);
+long long __imf_double2ll_rn(double);
+long long __imf_double2ll_ru(double);
+long long __imf_double2ll_rz(double);
+unsigned int __imf_double2uint_rd(double);
+unsigned int __imf_double2uint_rn(double);
+unsigned int __imf_double2uint_ru(double);
+unsigned int __imf_double2uint_rz(double);
+unsigned long long __imf_double2ull_rd(double);
+unsigned long long __imf_double2ull_rn(double);
+unsigned long long __imf_double2ull_ru(double);
+unsigned long long __imf_double2ull_rz(double);
+long long __imf_double_as_longlong(double);
+double __imf_hiloint2double(int, int);
+double __imf_int2double_rn(int);
+double __imf_ll2double_rd(long long);
+double __imf_ll2double_rn(long long);
+double __imf_ll2double_ru(long long);
+double __imf_ll2double_rz(long long);
+double __imf_longlong_as_double(long long);
+double __imf_uint2double_rn(unsigned);
+double __imf_ull2double_rd(unsigned long long);
+double __imf_ull2double_rn(unsigned long long);
+double __imf_ull2double_ru(unsigned long long);
+double __imf_ull2double_rz(unsigned long long);
+}
+
+int main(int, char **) {
+  s::default_selector device_selector;
+  s::queue device_queue(device_selector);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<s::info::device::name>()
+            << "\n";
+  if (!device_queue.get_device().has(sycl::aspect::fp64)) {
+    std::cout << "Test skipped on platform without fp64 support." << std::endl;
+    return 0;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {0.0,
+                                                2.5,
+                                                23.3457746363636,
+                                                123877377737.2323233232,
+                                                -41.3249382432435,
+                                                -6.7543E+25,
+                                                9.54E-20,
+                                                -3.12E+19};
+    std::initializer_list<unsigned> ref_vals_rd = {
+        0,          0x40200000, 0x41bac425, 0x51e6bd56,
+        0xc2254cbd, 0xea5f7b26, 0x1fe141c2, 0xdfd87e56};
+    std::initializer_list<unsigned> ref_vals_rn = {
+        0,          0x40200000, 0x41bac425, 0x51e6bd56,
+        0xc2254cbd, 0xea5f7b25, 0x1fe141c3, 0xdfd87e55};
+    std::initializer_list<unsigned> ref_vals_ru = {
+        0,          0x40200000, 0x41bac426, 0x51e6bd57,
+        0xc2254cbc, 0xea5f7b25, 0x1fe141c3, 0xdfd87e55};
+    std::initializer_list<unsigned> ref_vals_rz = {
+        0,          0x40200000, 0x41bac425, 0x51e6bd56,
+        0xc2254cbc, 0xea5f7b25, 0x1fe141c2, 0xdfd87e55};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned, __imf_double2float_rd));
+    std::cout << "double2float_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned, __imf_double2float_rn));
+    std::cout << "double2float_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned, __imf_double2float_ru));
+    std::cout << "double2float_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned, __imf_double2float_rz));
+    std::cout << "double2float_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {
+        0,           2.5,           23.56774234, -12.43332432434, 9.564324E+255,
+        -6.3212E-99, -9.49823E-201, 4.321993E+88};
+    std::initializer_list<unsigned> ref_vals_hi = {
+        0,          0x40040000, 0x40379157, 0xc028dddc,
+        0x7514622a, 0xab8ba6ef, 0x966743ee, 0x5255b9ed};
+    std::initializer_list<unsigned> ref_vals_lo = {
+        0,          0,          0x8fdedac1, 0xaf933404,
+        0x90d084df, 0xee71d6f2, 0xa5a053df, 0x4db8d884};
+    test(device_queue, input_vals, ref_vals_hi, F(__imf_double2hiint));
+    std::cout << "double2hiint passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_lo, F(__imf_double2loint));
+    std::cout << "double2loint passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {0.0,
+                                                2.5,
+                                                23.3457746363636,
+                                                12387737.2323233232,
+                                                -41.3249382432435,
+                                                -9.123233526E+8,
+                                                9.54E-20,
+                                                -3.9872627293918E+8};
+    std::initializer_list<int> ref_vals_rd = {0,   2,          23, 12387737,
+                                              -42, -912323353, 0,  -398726273};
+    std::initializer_list<int> ref_vals_rn = {0,   2,          23, 12387737,
+                                              -41, -912323353, 0,  -398726273};
+    std::initializer_list<int> ref_vals_ru = {0,   3,          24, 12387738,
+                                              -41, -912323352, 1,  -398726272};
+    std::initializer_list<int> ref_vals_rz = {0,   2,          23, 12387737,
+                                              -41, -912323352, 0,  -398726272};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_double2int_rd));
+    std::cout << "double2int_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_double2int_rn));
+    std::cout << "double2int_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_double2int_ru));
+    std::cout << "double2int_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_double2int_rz));
+    std::cout << "double2int_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {0.0,
+                                                2.5,
+                                                23.3457746363636,
+                                                12387737.2323233232E+8,
+                                                -41.3249382432435,
+                                                -9.123233527373837E+17,
+                                                9.54E-20,
+                                                -3.9872627293918E+16};
+    std::initializer_list<long long> ref_vals_rd = {0,   2,
+                                                    23,  1238773723232332,
+                                                    -42, -912323352737383680,
+                                                    0,   -39872627293918000};
+    std::initializer_list<long long> ref_vals_rn = {0,   2,
+                                                    23,  1238773723232332,
+                                                    -41, -912323352737383680,
+                                                    0,   -39872627293918000};
+    std::initializer_list<long long> ref_vals_ru = {0,   3,
+                                                    24,  1238773723232333,
+                                                    -41, -912323352737383680,
+                                                    1,   -39872627293918000};
+    std::initializer_list<long long> ref_vals_rz = {0,   2,
+                                                    23,  1238773723232332,
+                                                    -41, -912323352737383680,
+                                                    0,   -39872627293918000};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_double2ll_rd));
+    std::cout << "double2ll_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_double2ll_rn));
+    std::cout << "double2ll_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_double2ll_ru));
+    std::cout << "double2ll_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_double2ll_rz));
+    std::cout << "double2ll_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {0.0,
+                                                2.5,
+                                                23.3457746363636,
+                                                12387737.2323233232,
+                                                -41.3249382432435,
+                                                3.038789876983E+9,
+                                                9.54E-20,
+                                                4.1048756785435E+9};
+    std::initializer_list<unsigned> ref_vals_rd = {
+        0, 2, 23, 12387737, 0, 3038789876, 0, 4104875678};
+    std::initializer_list<unsigned> ref_vals_rn = {
+        0, 2, 23, 12387737, 0, 3038789877, 0, 4104875679};
+    std::initializer_list<unsigned> ref_vals_ru = {
+        0, 3, 24, 12387738, 0, 3038789877, 1, 4104875679};
+    std::initializer_list<unsigned> ref_vals_rz = {
+        0, 2, 23, 12387737, 0, 3038789876, 0, 4104875678};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_double2uint_rd));
+    std::cout << "double2uint_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_double2uint_rn));
+    std::cout << "double2uint_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_double2uint_ru));
+    std::cout << "double2uint_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_double2uint_rz));
+    std::cout << "double2uint_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {0.0,
+                                                2.5,
+                                                23.3457746363636,
+                                                12387737.2323233232E+8,
+                                                -41.3249382432435,
+                                                1.766559499488933883949E+19,
+                                                9.54E-20,
+                                                9.987262729391848483932E+18};
+    std::initializer_list<unsigned long long> ref_vals_rd = {
+        0,  2,
+        23, 1238773723232332,
+        0,  17665594994889338880ULL,
+        0,  9987262729391849472ULL};
+    std::initializer_list<unsigned long long> ref_vals_rn = {
+        0,  2,
+        23, 1238773723232332,
+        0,  17665594994889338880ULL,
+        0,  9987262729391849472ULL};
+    std::initializer_list<unsigned long long> ref_vals_ru = {
+        0,  3,
+        24, 1238773723232333,
+        0,  17665594994889338880ULL,
+        1,  9987262729391849472ULL};
+    std::initializer_list<unsigned long long> ref_vals_rz = {
+        0,  2,
+        23, 1238773723232332,
+        0,  17665594994889338880ULL,
+        0,  9987262729391849472ULL};
+    test(device_queue, input_vals, ref_vals_rd, F(__imf_double2ull_rd));
+    std::cout << "double2ull_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn, F(__imf_double2ull_rn));
+    std::cout << "double2ull_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru, F(__imf_double2ull_ru));
+    std::cout << "double2ull_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz, F(__imf_double2ull_rz));
+    std::cout << "double2ull_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<double> input_vals = {
+        0,           2.5,           23.56774234, -12.43332432434, 9.564324E+255,
+        -6.3212E-99, -9.49823E-201, 4.321993E+88};
+    std::initializer_list<long long> ref_vals = {0,
+                                                 4612811918334230528,
+                                                 4627326947408403137,
+                                                 -4600183079450758140,
+                                                 8436475936929514719,
+                                                 -6085586922033260814,
+                                                 -7609038353159138337,
+                                                 5932852512992843908};
+    test(device_queue, input_vals, ref_vals, F(__imf_double_as_longlong));
+    std::cout << "double_as_longlong passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals1 = {1074003968, -1059083256,
+                                              1100450857, -1022596250};
+    std::initializer_list<int> input_vals2 = {0, 0, -528482304, 696011200};
+    std::initializer_list<double> ref_vals = {2.5, -32432.125, 98765432.125,
+                                              -999923234343224};
+    test2(device_queue, input_vals1, input_vals2, ref_vals,
+          F2(__imf_hiloint2double));
+    std::cout << "hiloint2double passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0, 254, -245, 98773733, -85747332, 2147483647, -2147483648, 1023241323};
+    std::initializer_list<unsigned long long> ref_vals = {0,
+                                                          0x406fc00000000000,
+                                                          0xc06ea00000000000,
+                                                          0x41978cab94000000,
+                                                          0xc194719a10000000,
+                                                          0x41dfffffffc00000,
+                                                          0xc1e0000000000000,
+                                                          0x41ce7eb635800000};
+    test(device_queue, input_vals, ref_vals,
+         FT(unsigned long long, __imf_int2double_rn));
+    std::cout << "int2double_rn passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<long long> input_vals = {0,
+                                                   9383,
+                                                   -783,
+                                                   2258584758,
+                                                   -4284866283,
+                                                   9223372036854775807,
+                                                   -9223372036854775807,
+                                                   9197372036855684605};
+    std::initializer_list<unsigned long long> ref_vals_rd = {
+        0,
+        0x40c2538000000000,
+        0xc088780000000000,
+        0x41e0d3e896c00000,
+        0xc1efecbbdd600000,
+        0x43dfffffffffffff,
+        0xc3e0000000000000,
+        0x43dfe8e848d0f937};
+    std::initializer_list<unsigned long long> ref_vals_rn = {
+        0,
+        0x40c2538000000000,
+        0xc088780000000000,
+        0x41e0d3e896c00000,
+        0xc1efecbbdd600000,
+        0x43e0000000000000,
+        0xc3e0000000000000,
+        0x43dfe8e848d0f937};
+    std::initializer_list<unsigned long long> ref_vals_ru = {
+        0,
+        0x40c2538000000000,
+        0xc088780000000000,
+        0x41e0d3e896c00000,
+        0xc1efecbbdd600000,
+        0x43e0000000000000,
+        0xc3dfffffffffffff,
+        0x43dfe8e848d0f938};
+    std::initializer_list<unsigned long long> ref_vals_rz = {
+        0,
+        0x40c2538000000000,
+        0xc088780000000000,
+        0x41e0d3e896c00000,
+        0xc1efecbbdd600000,
+        0x43dfffffffffffff,
+        0xc3dfffffffffffff,
+        0x43dfe8e848d0f937};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned long long, __imf_ll2double_rd));
+    std::cout << "ll2double_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned long long, __imf_ll2double_rn));
+    std::cout << "ll2double_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned long long, __imf_ll2double_ru));
+    std::cout << "ll2double_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned long long, __imf_ll2double_rz));
+    std::cout << "ll2double_rz passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<long long> input_vals = {0,
+                                                   4612811918334230528,
+                                                   4636781271819747328,
+                                                   -4571363628501958656,
+                                                   4622698726891192320,
+                                                   -4593350562522595328,
+                                                   4636676818215108608,
+                                                   -4559191330407841792};
+    std::initializer_list<double> ref_vals = {0,         2.5,         100.625,
+                                              -1000.125, 11.5625,     -34.28125,
+                                              99.140625, -6783.640625};
+    test(device_queue, input_vals, ref_vals, F(__imf_longlong_as_double));
+    std::cout << "longlong_as_double passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned> input_vals = {
+        0, 254, 10233, 98773733, 989299343, 2147483647, 4294967295, 3023241323};
+    std::initializer_list<unsigned long long> ref_vals = {0,
+                                                          0x406fc00000000000,
+                                                          0x40c3fc8000000000,
+                                                          0x41978cab94000000,
+                                                          0x41cd7bc147800000,
+                                                          0x41dfffffffc00000,
+                                                          0x41efffffffe00000,
+                                                          0x41e686600d600000};
+    test(device_queue, input_vals, ref_vals,
+         FT(unsigned long long, __imf_uint2double_rn));
+    std::cout << "uint2double_rn passes." << std::endl;
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals = {
+        0,
+        9383,
+        783,
+        2258584758,
+        9284866283883838383U,
+        12223372036854775807U,
+        18446744073709551615U,
+        9197372036855684605U};
+    std::initializer_list<unsigned long long> ref_vals_rd = {
+        0,
+        0x40c2538000000000,
+        0x4088780000000000,
+        0x41e0d3e896c00000,
+        0x43e01b4f1623bcb7,
+        0x43e53444835ec57f,
+        0x43efffffffffffff,
+        0x43dfe8e848d0f937};
+    std::initializer_list<unsigned long long> ref_vals_rn = {
+        0,
+        0x40c2538000000000,
+        0x4088780000000000,
+        0x41e0d3e896c00000,
+        0x43e01b4f1623bcb7,
+        0x43e53444835ec580,
+        0x43f0000000000000,
+        0x43dfe8e848d0f937};
+    std::initializer_list<unsigned long long> ref_vals_ru = {
+        0,
+        0x40c2538000000000,
+        0x4088780000000000,
+        0x41e0d3e896c00000,
+        0x43e01b4f1623bcb8,
+        0x43e53444835ec580,
+        0x43f0000000000000,
+        0x43dfe8e848d0f938};
+    std::initializer_list<unsigned long long> ref_vals_rz = {
+        0,
+        0x40c2538000000000,
+        0x4088780000000000,
+        0x41e0d3e896c00000,
+        0x43e01b4f1623bcb7,
+        0x43e53444835ec57f,
+        0x43efffffffffffff,
+        0x43dfe8e848d0f937};
+    test(device_queue, input_vals, ref_vals_rd,
+         FT(unsigned long long, __imf_ull2double_rd));
+    std::cout << "ull2double_rd passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rn,
+         FT(unsigned long long, __imf_ull2double_rn));
+    std::cout << "ull2double_rn passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_ru,
+         FT(unsigned long long, __imf_ull2double_ru));
+    std::cout << "ull2double_ru passes." << std::endl;
+    test(device_queue, input_vals, ref_vals_rz,
+         FT(unsigned long long, __imf_ull2double_rz));
+    std::cout << "ull2double_rz passes." << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_half_type_cast.cpp b/sycl/test-e2e/DeviceLib/imf_half_type_cast.cpp
new file mode 100644
index 0000000000000..9254bd42b988c
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_half_type_cast.cpp
@@ -0,0 +1,702 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include "imf_utils.hpp"
+
+extern "C" {
+int __imf_half2int_rd(_iml_half_internal);
+int __imf_half2int_rn(_iml_half_internal);
+int __imf_half2int_ru(_iml_half_internal);
+int __imf_half2int_rz(_iml_half_internal);
+unsigned int __imf_half2uint_rd(_iml_half_internal);
+unsigned int __imf_half2uint_rn(_iml_half_internal);
+unsigned int __imf_half2uint_ru(_iml_half_internal);
+unsigned int __imf_half2uint_rz(_iml_half_internal);
+short __imf_half2short_rd(_iml_half_internal);
+short __imf_half2short_rn(_iml_half_internal);
+short __imf_half2short_ru(_iml_half_internal);
+short __imf_half2short_rz(_iml_half_internal);
+unsigned short __imf_half2ushort_rd(_iml_half_internal);
+unsigned short __imf_half2ushort_rn(_iml_half_internal);
+unsigned short __imf_half2ushort_ru(_iml_half_internal);
+unsigned short __imf_half2ushort_rz(_iml_half_internal);
+long long __imf_half2ll_rd(_iml_half_internal);
+long long __imf_half2ll_rn(_iml_half_internal);
+long long __imf_half2ll_ru(_iml_half_internal);
+long long __imf_half2ll_rz(_iml_half_internal);
+unsigned long long __imf_half2ull_rd(_iml_half_internal);
+unsigned long long __imf_half2ull_rn(_iml_half_internal);
+unsigned long long __imf_half2ull_ru(_iml_half_internal);
+unsigned long long __imf_half2ull_rz(_iml_half_internal);
+_iml_half_internal __imf_short2half_rd(short);
+_iml_half_internal __imf_short2half_rn(short);
+_iml_half_internal __imf_short2half_ru(short);
+_iml_half_internal __imf_short2half_rz(short);
+_iml_half_internal __imf_ushort2half_rd(unsigned short);
+_iml_half_internal __imf_ushort2half_rn(unsigned short);
+_iml_half_internal __imf_ushort2half_ru(unsigned short);
+_iml_half_internal __imf_ushort2half_rz(unsigned short);
+_iml_half_internal __imf_int2half_rd(int);
+_iml_half_internal __imf_int2half_rn(int);
+_iml_half_internal __imf_int2half_ru(int);
+_iml_half_internal __imf_int2half_rz(int);
+_iml_half_internal __imf_uint2half_rd(unsigned int);
+_iml_half_internal __imf_uint2half_rn(unsigned int);
+_iml_half_internal __imf_uint2half_ru(unsigned int);
+_iml_half_internal __imf_uint2half_rz(unsigned int);
+_iml_half_internal __imf_ll2half_rd(long long);
+_iml_half_internal __imf_ll2half_rn(long long);
+_iml_half_internal __imf_ll2half_ru(long long);
+_iml_half_internal __imf_ll2half_rz(long long);
+_iml_half_internal __imf_ull2half_rd(unsigned long long);
+_iml_half_internal __imf_ull2half_rn(unsigned long long);
+_iml_half_internal __imf_ull2half_ru(unsigned long long);
+_iml_half_internal __imf_ull2half_rz(unsigned long long);
+_iml_half_internal __imf_float2half_rd(float);
+_iml_half_internal __imf_float2half_rn(float);
+_iml_half_internal __imf_float2half_ru(float);
+_iml_half_internal __imf_float2half_rz(float);
+}
+
+int main() {
+
+  sycl::queue device_queue(sycl::default_selector_v);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<sycl::info::device::name>()
+            << "\n";
+
+  if (!device_queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Test skipped on platform without fp16 support." << std::endl;
+    return 0;
+  }
+
+  // half2int tests
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x8001, 0x83FF, 0x1,    0x3FF,  0x8000, 0x0,   0x0256,
+        0x3800, 0xBE00, 0x7C00, 0xFC00, 0x7E00, 0x7bff};
+    std::initializer_list<int> ref_vals_rd = {
+        -1, -1, 0, 0, 0, 0, 0, 0, -2, 2147483647, -2147483648, 0, 65504};
+    std::initializer_list<int> ref_vals_rn = {
+        0, 0, 0, 0, 0, 0, 0, 0, -2, 2147483647, -2147483648, 0, 65504};
+    std::initializer_list<int> ref_vals_ru = {
+        0, 0, 1, 1, 0, 0, 1, 1, -1, 2147483647, -2147483648, 0, 65504};
+    std::initializer_list<int> ref_vals_rz = {
+        0, 0, 0, 0, 0, 0, 0, 0, -1, 2147483647, -2147483648, 0, 65504};
+
+    test_host(input_vals, ref_vals_rd, F_Half1(__imf_half2int_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half1(__imf_half2int_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half1(__imf_half2int_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half1(__imf_half2int_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half1(__imf_half2int_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half1(__imf_half2int_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half1(__imf_half2int_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half1(__imf_half2int_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x8001, // max negative subnormal
+        0x83FF, // min negative subnormal
+        0x1,    // min positive subnormal
+        0x3FF,  // max positive subnormal
+        0x0,
+        0x8000, // -0
+        0x0256, // subnormal half-precision value
+        0x5648, // 100.5
+        0x5658, // 101.5
+        0x564C, // 100.75
+        0x7C00, // +infinity
+        0x7E00, // NAN
+        0x7bFF, // maximum half-precision value
+        0xD648, // -100.5
+    };
+    std::initializer_list<unsigned int> ref_vals_rd = {
+        0, 0, 0, 0, 0, 0, 0, 100, 101, 100, 4294967295, 0, 65504, 0};
+    std::initializer_list<unsigned int> ref_vals_rn = {
+        0, 0, 0, 0, 0, 0, 0, 100, 102, 101, 4294967295, 0, 65504, 0};
+    std::initializer_list<unsigned int> ref_vals_ru = {
+        0, 0, 1, 1, 0, 0, 1, 101, 102, 101, 4294967295, 0, 65504, 0};
+    std::initializer_list<unsigned int> ref_vals_rz = {
+        0, 0, 0, 0, 0, 0, 0, 100, 101, 100, 4294967295, 0, 65504, 0};
+
+    test_host(input_vals, ref_vals_rd, F_Half1(__imf_half2uint_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half1(__imf_half2uint_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half1(__imf_half2uint_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half1(__imf_half2uint_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half1(__imf_half2uint_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half1(__imf_half2uint_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half1(__imf_half2uint_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half1(__imf_half2uint_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x8001, // max negative subnormal
+        0x83FF, // min negative subnormal
+        0x1,    // min positive subnormal
+        0x3FF,  // max positive subnormal
+        0x0,
+        0x8000, // -0
+        0x0256, // subnormal half-precision value
+        0x5648, // 100.5
+        0x5658, // 101.5
+        0x564C, // 100.75
+        0x7C00, // +infinity
+        0xFC00, // -infinity
+        0x7E00, // NAN
+        0x7BFF, // maximum half-precision value
+        0x7BEE, // 64960
+        0xFBEE, // -64960
+        0xD648, // -100.5
+    };
+
+    std::initializer_list<short> ref_vals_rd = {
+        -1,  -1,    0,      0, 0,     0,     0,      100, 101,
+        100, 32767, -32768, 0, 32767, 32767, -32768, -101};
+    std::initializer_list<short> ref_vals_rn = {
+        0,   0,     0,      0, 0,     0,     0,      100, 102,
+        101, 32767, -32768, 0, 32767, 32767, -32768, -100};
+    std::initializer_list<short> ref_vals_ru = {
+        0,   0,     1,      1, 0,     0,     1,      101, 102,
+        101, 32767, -32768, 0, 32767, 32767, -32768, -100};
+    std::initializer_list<short> ref_vals_rz = {
+        0,   0,     0,      0, 0,     0,     0,      100, 101,
+        100, 32767, -32768, 0, 32767, 32767, -32768, -100};
+
+    test_host(input_vals, ref_vals_rd, F_Half1(__imf_half2short_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half1(__imf_half2short_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half1(__imf_half2short_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half1(__imf_half2short_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half1(__imf_half2short_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half1(__imf_half2short_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half1(__imf_half2short_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half1(__imf_half2short_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x8001, // max negative subnormal
+        0x83FF, // min negative subnormal
+        0x1,    // min positive subnormal
+        0x3FF,  // max positive subnormal
+        0x0,
+        0x8000, // -0
+        0x0256, // subnormal half-precision value
+        0x5648, // 100.5
+        0x5658, // 101.5
+        0x564C, // 100.75
+        0x7C00, // +infinity
+        0x7E00, // NAN
+        0x7BFF, // maximum half-precision value
+        0x7BEE, // 64960
+        0x7BAA, // 62784
+        0xD648, // -100.5
+        0x51D9, // 46.789
+    };
+
+    std::initializer_list<unsigned short> ref_vals_rd = {
+        0,   0,     0, 0,     0,     0,     0, 100, 101,
+        100, 65535, 0, 65504, 64960, 62784, 0, 46};
+    std::initializer_list<unsigned short> ref_vals_rn = {
+        0,   0,     0, 0,     0,     0,     0, 100, 102,
+        101, 65535, 0, 65504, 64960, 62784, 0, 47};
+    std::initializer_list<unsigned short> ref_vals_ru = {
+        0,   0,     1, 1,     0,     0,     1, 101, 102,
+        101, 65535, 0, 65504, 64960, 62784, 0, 47};
+    std::initializer_list<unsigned short> ref_vals_rz = {
+        0,   0,     0, 0,     0,     0,     0, 100, 101,
+        100, 65535, 0, 65504, 64960, 62784, 0, 46};
+
+    test_host(input_vals, ref_vals_rd, F_Half1(__imf_half2ushort_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half1(__imf_half2ushort_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half1(__imf_half2ushort_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half1(__imf_half2ushort_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half1(__imf_half2ushort_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half1(__imf_half2ushort_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half1(__imf_half2ushort_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half1(__imf_half2ushort_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x8001, 0x83FF, 0x1, 0x3FF, 0x0,
+        0x8000, // -0
+        0x0256, // subnormal half-precision value
+        0x5648, // 100.5
+        0x5658, // 101.5
+        0x564C, // 100.75
+        0x7C00, // +infinity
+        0xFC00, // -infinity
+        0x7E00, // NAN
+        0x7BFF, // maximum half-precision value
+        0xFBFF, // minimum half-precision value
+        0xFBEE, // -64960
+        0xD648, // -100.5
+        0x70E3, // 10008
+        0xCCE3, // -19.546875
+    };
+
+    std::initializer_list<long long int> ref_vals_rd = {
+        -1,
+        -1,
+        0,
+        0,
+        0,
+        0,
+        0,
+        100,
+        101,
+        100,
+        std::numeric_limits<long long>::max(),
+        std::numeric_limits<long long>::min(),
+        0,
+        65504,
+        -65504,
+        -64960,
+        -101,
+        10008,
+        -20};
+    std::initializer_list<long long int> ref_vals_rn = {
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        100,
+        102,
+        101,
+        std::numeric_limits<long long>::max(),
+        std::numeric_limits<long long>::min(),
+        0,
+        65504,
+        -65504,
+        -64960,
+        -100,
+        10008,
+        -20};
+    std::initializer_list<long long int> ref_vals_ru = {
+        0,
+        0,
+        1,
+        1,
+        0,
+        0,
+        1,
+        101,
+        102,
+        101,
+        std::numeric_limits<long long>::max(),
+        std::numeric_limits<long long>::min(),
+        0,
+        65504,
+        -65504,
+        -64960,
+        -100,
+        10008,
+        -19};
+    std::initializer_list<long long int> ref_vals_rz = {
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        100,
+        101,
+        100,
+        std::numeric_limits<long long>::max(),
+        std::numeric_limits<long long>::min(),
+        0,
+        65504,
+        -65504,
+        -64960,
+        -100,
+        10008,
+        -19};
+
+    test_host(input_vals, ref_vals_rd, F_Half1(__imf_half2ll_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half1(__imf_half2ll_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half1(__imf_half2ll_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half1(__imf_half2ll_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half1(__imf_half2ll_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half1(__imf_half2ll_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half1(__imf_half2ll_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half1(__imf_half2ll_rz));
+  }
+
+  {
+    std::initializer_list<uint16_t> input_vals = {
+        0x8001, // max negative subnormal
+        0x83FF, // min negative subnormal
+        0x1,    // min positive subnormal
+        0x3FF,  // max positive subnormal
+        0x0,
+        0x8000, // -0
+        0x0256, // subnormal half-precision value
+        0x5648, // 100.5
+        0x5658, // 101.5
+        0x564C, // 100.75
+        0x7C00, // +infinity
+        0x7E00, // NAN
+        0x7BFF, // maximum half-precision value
+        0x73DF, // 16120
+        0x7AEE, // 56768
+        0xD648, // -100.5
+        0x70E3, // 10008
+        0x4CE3, // 19.546875
+    };
+
+    std::initializer_list<unsigned long long> ref_vals_rd = {
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        100,
+        101,
+        100,
+        std::numeric_limits<unsigned long long>::max(),
+        0,
+        65504,
+        16120,
+        56768,
+        0,
+        10008,
+        19};
+    std::initializer_list<unsigned long long> ref_vals_rn = {
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        100,
+        102,
+        101,
+        std::numeric_limits<unsigned long long>::max(),
+        0,
+        65504,
+        16120,
+        56768,
+        0,
+        10008,
+        20};
+    std::initializer_list<unsigned long long> ref_vals_ru = {
+        0,
+        0,
+        1,
+        1,
+        0,
+        0,
+        1,
+        101,
+        102,
+        101,
+        std::numeric_limits<unsigned long long>::max(),
+        0,
+        65504,
+        16120,
+        56768,
+        0,
+        10008,
+        20};
+    std::initializer_list<unsigned long long> ref_vals_rz = {
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        0,
+        100,
+        101,
+        100,
+        std::numeric_limits<unsigned long long>::max(),
+        0,
+        65504,
+        16120,
+        56768,
+        0,
+        10008,
+        19};
+
+    test_host(input_vals, ref_vals_rd, F_Half1(__imf_half2ull_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half1(__imf_half2ull_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half1(__imf_half2ull_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half1(__imf_half2ull_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half1(__imf_half2ull_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half1(__imf_half2ull_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half1(__imf_half2ull_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half1(__imf_half2ull_rz));
+  }
+
+  {
+    std::initializer_list<short> input_vals = {
+        0, 7, 49, -323, 2999, -32768, 32767, 32111, -11111, 16383};
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0,      0x4700, 0x5220, 0xDD0C, 0x69DB,
+        0xF800, 0x77FF, 0x77D6, 0xF16D, 0x73FF};
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0,      0x4700, 0x5220, 0xDD0C, 0x69DC,
+        0xF800, 0x7800, 0x77D7, 0xF16D, 0x7400};
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0,      0x4700, 0x5220, 0xDD0C, 0x69DC,
+        0xF800, 0x7800, 0x77D7, 0xF16C, 0x7400};
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0,      0x4700, 0x5220, 0xDD0C, 0x69DB,
+        0xF800, 0x77FF, 0x77D6, 0xF16C, 0x73FF};
+
+    test_host(input_vals, ref_vals_rd, F_Half2(__imf_short2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half2(__imf_short2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half2(__imf_short2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half2(__imf_short2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half2(__imf_short2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half2(__imf_short2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half2(__imf_short2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half2(__imf_short2half_rz));
+  }
+
+  {
+    std::initializer_list<unsigned short> input_vals = {
+        0, 7, 49, 2999, 32777, 11111, 16383, 60000, 65535, 64101, 51111, 39999};
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0,      0x4700, 0x5220, 0x69DB, 0x7800, 0x716C,
+        0x73FF, 0x7B53, 0x7BFF, 0x7BD3, 0x7A3D, 0x78E1};
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0,      0x4700, 0x5220, 0x69DC, 0x7800, 0x716D,
+        0x7400, 0x7B53, 0x7C00, 0x7BD3, 0x7A3D, 0x78E2};
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0,      0x4700, 0x5220, 0x69DC, 0x7801, 0x716D,
+        0x7400, 0x7B53, 0x7C00, 0x7BD4, 0x7A3E, 0x78E2};
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0,      0x4700, 0x5220, 0x69DB, 0x7800, 0x716C,
+        0x73FF, 0x7B53, 0x7BFF, 0x7BD3, 0x7A3D, 0x78E1};
+
+    test_host(input_vals, ref_vals_rd, F_Half2(__imf_ushort2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half2(__imf_ushort2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half2(__imf_ushort2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half2(__imf_ushort2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half2(__imf_ushort2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half2(__imf_ushort2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half2(__imf_ushort2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half2(__imf_ushort2half_rz));
+  }
+
+  {
+    std::initializer_list<int> input_vals = {
+        0,     -100,  137,    2187,  -3845, 10001,  -21283,
+        16383, 65504, -64404, 65503, 65505, -80001, 1000021};
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0,      0xD640, 0x5848, 0x6845, 0xEB83, 0x70E2, 0xF533,
+        0x73FF, 0x7BFF, 0xFBDD, 0x7BFE, 0x7BFF, 0xFC00, 0x7BFF};
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0,      0xD640, 0x5848, 0x6846, 0xEB82, 0x70E2, 0xF532,
+        0x7400, 0x7BFF, 0xFBDD, 0x7BFF, 0x7BFF, 0xFC00, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0,      0xD640, 0x5848, 0x6846, 0xEB82, 0x70E3, 0xF532,
+        0x7400, 0x7BFF, 0xFBDC, 0x7BFF, 0x7C00, 0xFBFF, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0,      0xD640, 0x5848, 0x6845, 0xEB82, 0x70E2, 0xF532,
+        0x73FF, 0x7BFF, 0xFBDC, 0x7BFE, 0x7BFF, 0xFBFF, 0x7BFF};
+
+    test_host(input_vals, ref_vals_rd, F_Half2(__imf_int2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half2(__imf_int2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half2(__imf_int2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half2(__imf_int2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half2(__imf_int2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half2(__imf_int2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half2(__imf_int2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half2(__imf_int2half_rz));
+  }
+
+  {
+    std::initializer_list<unsigned int> input_vals = {
+        0,     100,   137,   2187,  3845,  10001,    21283,
+        16383, 65504, 64404, 65503, 65505, 23220001, 1000021};
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0,      0x5640, 0x5848, 0x6845, 0x6B82, 0x70E2, 0x7532,
+        0x73FF, 0x7BFF, 0x7BDC, 0x7BFE, 0x7BFF, 0x7BFF, 0x7BFF};
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0,      0x5640, 0x5848, 0x6846, 0x6B82, 0x70E2, 0x7532,
+        0x7400, 0x7BFF, 0x7BDD, 0x7BFF, 0x7BFF, 0x7C00, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0,      0x5640, 0x5848, 0x6846, 0x6B83, 0x70E3, 0x7533,
+        0x7400, 0x7BFF, 0x7BDD, 0x7BFF, 0x7C00, 0x7C00, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0,      0x5640, 0x5848, 0x6845, 0x6B82, 0x70E2, 0x7532,
+        0x73FF, 0x7BFF, 0x7BDC, 0x7BFE, 0x7BFF, 0x7BFF, 0x7BFF};
+
+    test_host(input_vals, ref_vals_rd, F_Half2(__imf_uint2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half2(__imf_uint2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half2(__imf_uint2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half2(__imf_uint2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half2(__imf_uint2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half2(__imf_uint2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half2(__imf_uint2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half2(__imf_uint2half_rz));
+  }
+
+  {
+    std::initializer_list<long long> input_vals = {
+        0,     -100,  137,    2187,  -3845, 10001,          -21283,
+        16383, 65504, -64404, 65503, 65505, -80023120101LL, 79921000021LL};
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0,      0xD640, 0x5848, 0x6845, 0xEB83, 0x70E2, 0xF533,
+        0x73FF, 0x7BFF, 0xFBDD, 0x7BFE, 0x7BFF, 0xFC00, 0x7BFF};
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0,      0xD640, 0x5848, 0x6846, 0xEB82, 0x70E2, 0xF532,
+        0x7400, 0x7BFF, 0xFBDD, 0x7BFF, 0x7BFF, 0xFC00, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0,      0xD640, 0x5848, 0x6846, 0xEB82, 0x70E3, 0xF532,
+        0x7400, 0x7BFF, 0xFBDC, 0x7BFF, 0x7C00, 0xFBFF, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0,      0xD640, 0x5848, 0x6845, 0xEB82, 0x70E2, 0xF532,
+        0x73FF, 0x7BFF, 0xFBDC, 0x7BFE, 0x7BFF, 0xFBFF, 0x7BFF};
+
+    test_host(input_vals, ref_vals_rd, F_Half2(__imf_ll2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half2(__imf_ll2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half2(__imf_ll2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half2(__imf_ll2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half2(__imf_ll2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half2(__imf_ll2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half2(__imf_ll2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half2(__imf_ll2half_rz));
+  }
+
+  {
+    std::initializer_list<unsigned long long> input_vals = {
+        0,     100,   137,   2187,  3845,  10001,       21283,
+        16383, 65504, 64404, 65503, 65505, 77223220001, 99991000021};
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0,      0x5640, 0x5848, 0x6845, 0x6B82, 0x70E2, 0x7532,
+        0x73FF, 0x7BFF, 0x7BDC, 0x7BFE, 0x7BFF, 0x7BFF, 0x7BFF};
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0,      0x5640, 0x5848, 0x6846, 0x6B82, 0x70E2, 0x7532,
+        0x7400, 0x7BFF, 0x7BDD, 0x7BFF, 0x7BFF, 0x7C00, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0,      0x5640, 0x5848, 0x6846, 0x6B83, 0x70E3, 0x7533,
+        0x7400, 0x7BFF, 0x7BDD, 0x7BFF, 0x7C00, 0x7C00, 0x7C00};
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0,      0x5640, 0x5848, 0x6845, 0x6B82, 0x70E2, 0x7532,
+        0x73FF, 0x7BFF, 0x7BDC, 0x7BFE, 0x7BFF, 0x7BFF, 0x7BFF};
+
+    test_host(input_vals, ref_vals_rd, F_Half2(__imf_ull2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half2(__imf_ull2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half2(__imf_ull2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half2(__imf_ull2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half2(__imf_ull2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half2(__imf_ull2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half2(__imf_ull2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half2(__imf_ull2half_rz));
+  }
+
+  {
+    std::initializer_list<unsigned int> input_vals = {
+        0x807FFFFF, // min negative subnormnl
+        0x80000001, // max negative subnormal
+        0x1,        // min positive subnormal
+        0x7FFFFF,   // max positive subnormal
+        0x0,        // 0
+        0x80000000, // -0
+        0x7F800000, // +infinity
+        0xFF800000, // -infinity
+        // 0x7FC00000, // NAN
+        0x41340000, // 11.25
+        0x44812b21, // 1033.3478
+        0x477FE000, // 65504
+        0xC77FE000, // -65504
+        0xC69C40A1, // -20000.3154
+        0x44fCDC29, // 2022.88
+        0x47709000, // 61584
+        0xC770B000, // -61616
+        0x47D54980, // 109203
+        0xCD3EC5C0, // -200039423.564234
+        0x21B877AA, // 1.25e-18
+        0xC01D3A93, // -2.4567e-16
+        0x0F81B224, // 1.2789e-29
+        0x8CE08054, // -3.45899e-31
+    };
+
+    std::initializer_list<uint16_t> ref_vals_rd = {
+        0x8001, 0x8001, 0,      0,      0,      0x8000, 0x7C00, 0xFC00,
+        0x49A0, 0x6409, 0x7BFF, 0xFBFF, 0xF4E3, 0x67E6, 0x7B84, 0xFB86,
+        0x7BFF, 0xFC00, 0,      0xC0EA, 0,      0x8001};
+
+    std::initializer_list<uint16_t> ref_vals_rn = {
+        0x8000, 0x8000, 0,      0,      0,      0x8000, 0x7C00, 0xFC00,
+        0x49A0, 0x6409, 0x7BFF, 0xFBFF, 0xF4E2, 0x67E7, 0x7B84, 0xFB86,
+        0x7C00, 0xFC00, 0,      0xC0EA, 0,      0x8000};
+
+    std::initializer_list<uint16_t> ref_vals_ru = {
+        0x8000, 0x8000, 1,      1,      0,      0x8000, 0x7C00, 0xFC00,
+        0x49A0, 0x640A, 0x7BFF, 0xFBFF, 0xF4E2, 0x67E7, 0x7B85, 0xFB85,
+        0x7C00, 0xFBFF, 1,      0xC0E9, 1,      0x8000};
+
+    std::initializer_list<uint16_t> ref_vals_rz = {
+        0x8000, 0x8000, 0,      0,      0,      0x8000, 0x7C00, 0xFC00,
+        0x49A0, 0x6409, 0x7BFF, 0xFBFF, 0xF4E2, 0x67E6, 0x7B84, 0xFB85,
+        0x7BFF, 0xFBFF, 0,      0xC0E9, 0,      0x8000};
+
+    test_host(input_vals, ref_vals_rd, F_Half3(__imf_float2half_rd));
+    test(device_queue, input_vals, ref_vals_rd, F_Half3(__imf_float2half_rd));
+
+    test_host(input_vals, ref_vals_rn, F_Half3(__imf_float2half_rn));
+    test(device_queue, input_vals, ref_vals_rn, F_Half3(__imf_float2half_rn));
+
+    test_host(input_vals, ref_vals_ru, F_Half3(__imf_float2half_ru));
+    test(device_queue, input_vals, ref_vals_ru, F_Half3(__imf_float2half_ru));
+
+    test_host(input_vals, ref_vals_rz, F_Half3(__imf_float2half_rz));
+    test(device_queue, input_vals, ref_vals_rz, F_Half3(__imf_float2half_rz));
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_simd_emulate_test.cpp b/sycl/test-e2e/DeviceLib/imf_simd_emulate_test.cpp
new file mode 100644
index 0000000000000..a76ddaf6b9192
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_simd_emulate_test.cpp
@@ -0,0 +1,1834 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+extern "C" {
+unsigned __imf_vabs2(unsigned);
+unsigned __imf_vabs4(unsigned);
+unsigned __imf_vabsss2(unsigned);
+unsigned __imf_vabsss4(unsigned);
+unsigned __imf_vneg2(unsigned);
+unsigned __imf_vneg4(unsigned);
+unsigned __imf_vnegss2(unsigned);
+unsigned __imf_vnegss4(unsigned);
+unsigned __imf_vabsdiffs2(unsigned, unsigned);
+unsigned __imf_vabsdiffs4(unsigned, unsigned);
+unsigned __imf_vabsdiffu2(unsigned, unsigned);
+unsigned __imf_vabsdiffu4(unsigned, unsigned);
+unsigned __imf_vadd2(unsigned, unsigned);
+unsigned __imf_vadd4(unsigned, unsigned);
+unsigned __imf_vaddss2(unsigned, unsigned);
+unsigned __imf_vaddss4(unsigned, unsigned);
+unsigned __imf_vaddus2(unsigned, unsigned);
+unsigned __imf_vaddus4(unsigned, unsigned);
+unsigned __imf_vsub2(unsigned, unsigned);
+unsigned __imf_vsub4(unsigned, unsigned);
+unsigned __imf_vsubss2(unsigned, unsigned);
+unsigned __imf_vsubss4(unsigned, unsigned);
+unsigned __imf_vsubus2(unsigned, unsigned);
+unsigned __imf_vsubus4(unsigned, unsigned);
+unsigned __imf_vavgs2(unsigned, unsigned);
+unsigned __imf_vavgs4(unsigned, unsigned);
+unsigned __imf_vavgu2(unsigned, unsigned);
+unsigned __imf_vavgu4(unsigned, unsigned);
+unsigned __imf_vcmpgts2(unsigned, unsigned);
+unsigned __imf_vcmpgts4(unsigned, unsigned);
+unsigned __imf_vhaddu2(unsigned, unsigned);
+unsigned __imf_vhaddu4(unsigned, unsigned);
+unsigned __imf_vmaxs2(unsigned, unsigned);
+unsigned __imf_vmaxs4(unsigned, unsigned);
+unsigned __imf_vmaxu2(unsigned, unsigned);
+unsigned __imf_vmaxu4(unsigned, unsigned);
+unsigned __imf_vmins2(unsigned, unsigned);
+unsigned __imf_vmins4(unsigned, unsigned);
+unsigned __imf_vminu2(unsigned, unsigned);
+unsigned __imf_vminu4(unsigned, unsigned);
+unsigned __imf_vsads2(unsigned, unsigned);
+unsigned __imf_vsads4(unsigned, unsigned);
+unsigned __imf_vsadu2(unsigned, unsigned);
+unsigned __imf_vsadu4(unsigned, unsigned);
+unsigned __imf_vcmpeq2(unsigned, unsigned);
+unsigned __imf_vcmpeq4(unsigned, unsigned);
+unsigned __imf_vcmpne2(unsigned, unsigned);
+unsigned __imf_vcmpne4(unsigned, unsigned);
+unsigned __imf_vseteq2(unsigned, unsigned);
+unsigned __imf_vseteq4(unsigned, unsigned);
+unsigned __imf_vsetne2(unsigned, unsigned);
+unsigned __imf_vsetne4(unsigned, unsigned);
+unsigned __imf_vcmpges2(unsigned, unsigned);
+unsigned __imf_vcmpges4(unsigned, unsigned);
+unsigned __imf_vcmpgeu2(unsigned, unsigned);
+unsigned __imf_vcmpgeu4(unsigned, unsigned);
+unsigned __imf_vsetges2(unsigned, unsigned);
+unsigned __imf_vsetges4(unsigned, unsigned);
+unsigned __imf_vsetgeu2(unsigned, unsigned);
+unsigned __imf_vsetgeu4(unsigned, unsigned);
+unsigned __imf_vcmplts2(unsigned, unsigned);
+unsigned __imf_vcmplts4(unsigned, unsigned);
+unsigned __imf_vcmpltu2(unsigned, unsigned);
+unsigned __imf_vcmpltu4(unsigned, unsigned);
+unsigned __imf_vsetlts2(unsigned, unsigned);
+unsigned __imf_vsetlts4(unsigned, unsigned);
+unsigned __imf_vsetltu2(unsigned, unsigned);
+unsigned __imf_vsetltu4(unsigned, unsigned);
+unsigned __imf_vcmpgts2(unsigned, unsigned);
+unsigned __imf_vcmpgts4(unsigned, unsigned);
+unsigned __imf_vcmpgtu2(unsigned, unsigned);
+unsigned __imf_vcmpgtu4(unsigned, unsigned);
+unsigned __imf_vcmples2(unsigned, unsigned);
+unsigned __imf_vcmples4(unsigned, unsigned);
+unsigned __imf_vcmpleu2(unsigned, unsigned);
+unsigned __imf_vcmpleu4(unsigned, unsigned);
+unsigned __imf_vsetgts2(unsigned, unsigned);
+unsigned __imf_vsetgts4(unsigned, unsigned);
+unsigned __imf_vsetgtu2(unsigned, unsigned);
+unsigned __imf_vsetgtu4(unsigned, unsigned);
+unsigned __imf_vsetles2(unsigned, unsigned);
+unsigned __imf_vsetles4(unsigned, unsigned);
+unsigned __imf_vsetleu2(unsigned, unsigned);
+unsigned __imf_vsetleu4(unsigned, unsigned);
+}
+
+void run_vabs2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_vals[NUM] = {0,          1,          0x98324,    0xFFFFFFFF,
+                              0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned output2_vals[NUM];
+  unsigned output4_vals[NUM];
+  unsigned ref2_vals[NUM] = {0,         1,          0x97CDC,    0x10001,
+                             0x1225468, 0x12345678, 0x443466D9, 0x5F653E8A};
+
+  unsigned ref4_vals[NUM] = {0,         1,          0x97D24,    0x1010101,
+                             0x2225568, 0x12345678, 0x45346727, 0x60653f76};
+  {
+    s::buffer<unsigned, 1> output2_buf(&output2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output4_buf(&output4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output2_acc = output2_buf.get_access<sycl_write>(cgh);
+          auto output4_acc = output4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vabs2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output2_acc[I[0]] = __imf_vabs2(input_vals[I[0]]);
+                output4_acc[I[0]] = __imf_vabs4(input_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output2_vals[idx] != ref2_vals[idx]) {
+      std::cout << "__imf_vabs2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output4_vals[idx] != ref4_vals[idx]) {
+      std::cout << "__imf_vabs4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vabs2_4 test pass." << std::endl;
+}
+
+void run_vabsss2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_vals[NUM] = {0,          1,          0x98324,    0x07FF07FE,
+                              0x80008000, 0x80808080, 0xBBCC9927, 0x80000001};
+  unsigned output2_vals[NUM];
+  unsigned output4_vals[NUM];
+  unsigned ref2_vals[NUM] = {0,          1,          0x97CDC,    0x07FF07FE,
+                             0x7FFF7FFF, 0x7F807F80, 0x443466D9, 0x7FFF0001};
+
+  unsigned ref4_vals[NUM] = {0,          1,          0x97D24,    0x07010702,
+                             0x7F007F00, 0x7F7F7F7F, 0x45346727, 0x7F000001};
+  {
+    s::buffer<unsigned, 1> output2_buf(&output2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output4_buf(&output4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output2_acc = output2_buf.get_access<sycl_write>(cgh);
+          auto output4_acc = output4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vabsss2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output2_acc[I[0]] = __imf_vabsss2(input_vals[I[0]]);
+                output4_acc[I[0]] = __imf_vabsss4(input_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output2_vals[idx] != ref2_vals[idx]) {
+      std::cout << "__imf_vabsss2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output4_vals[idx] != ref4_vals[idx]) {
+      std::cout << "__imf_vabsss4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vabsss2_4 test pass." << std::endl;
+}
+
+void run_vabsdiffsu2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          1,          0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          1,          0x8372833,  0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned output_s2_vals[NUM];
+  unsigned output_s4_vals[NUM];
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned ref_s2_vals[NUM] = {0,          0,          0x82EA50F,  0x54006713,
+                               0x56A77DFA, 0x556568F5, 0x21299E97, 0xD2E75091};
+  unsigned ref_s4_vals[NUM] = {0,          0,          0x82EA50F,  0x54006713,
+                               0x56597E06, 0x566569F5, 0x21299E69, 0xD319516F};
+  unsigned ref_u2_vals[NUM] = {0,          0,          0x82E5AF1,  0x54006713,
+                               0x56A78206, 0xAA9B970B, 0x21296169, 0x2D19AF6F};
+  unsigned ref_u4_vals[NUM] = {0,          0,          0x82E5B0F,  0x54006713,
+                               0x56A78206, 0xAA9B970B, 0x21296297, 0x2D19AF6F};
+
+  {
+    s::buffer<unsigned, 1> output_s2_buf(&output_s2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_s4_buf(&output_s4_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_s2_acc = output_s2_buf.get_access<sycl_write>(cgh);
+          auto output_s4_acc = output_s4_buf.get_access<sycl_write>(cgh);
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vabsdiffsu2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_s2_acc[I[0]] =
+                    __imf_vabsdiffs2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_s4_acc[I[0]] =
+                    __imf_vabsdiffs4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u2_acc[I[0]] =
+                    __imf_vabsdiffu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vabsdiffu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s2_vals[idx] != ref_s2_vals[idx]) {
+      std::cout << "__imf_vabsdiffs2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s4_vals[idx] != ref_s4_vals[idx]) {
+      std::cout << "__imf_vabsdiffs4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vabsdiffu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vabsdiffu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vabsdiffsu_2_4 test pass." << std::endl;
+}
+
+void run_vadd_ss_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x6DDF66CC, 0x8372833,  0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned output_ss2_vals[NUM];
+  unsigned output_ss4_vals[NUM];
+  unsigned ref_u2_vals[NUM] = {0,          0xED5EE5CB, 0x840AB57,  0xABFE98EB,
+                               0xA715D52A, 0xCF0343FB, 0x566FD0E5, 0x141DD37D};
+  unsigned ref_u4_vals[NUM] = {0,          0xEC5EE4CB, 0x840AB57,  0xAAFE97EB,
+                               0xA615D42A, 0xCE0343FB, 0x556FD0E5, 0x131DD37D};
+  unsigned ref_ss2_vals[NUM] = {0,          0x7FFF7FFF, 0x840AB57,  0xABFE98EB,
+                                0xA715D52A, 0xCF0343FB, 0x8000D0E5, 0x141DD37D};
+  unsigned ref_ss4_vals[NUM] = {0,          0x7F5E7FCB, 0x840AB57,  0xAAFE97EB,
+                                0xA615D480, 0xCE0343FB, 0x8080D0E5, 0x1380D37D};
+
+  {
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_ss2_buf(&output_ss2_vals[0],
+                                          s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_ss4_buf(&output_ss4_vals[0],
+                                          s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          auto output_ss2_acc = output_ss2_buf.get_access<sycl_write>(cgh);
+          auto output_ss4_acc = output_ss4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vadd2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_u2_acc[I[0]] =
+                    __imf_vadd2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vadd4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_ss2_acc[I[0]] =
+                    __imf_vaddss2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_ss4_acc[I[0]] =
+                    __imf_vaddss4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vadd2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vadd4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_ss2_vals[idx] != ref_ss2_vals[idx]) {
+      std::cout << "__imf_vaddss2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_ss4_vals[idx] != ref_ss4_vals[idx]) {
+      std::cout << "__imf_vaddss4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vadd_2_4 test pass." << std::endl;
+}
+
+void run_vadd_us_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x6DDF66CC, 0x8372833,  0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned ref_u2_vals[NUM] = {0,          0xED5EE5CB, 0x840AB57,  0xFFFFFFFF,
+                               0xFFFFD52A, 0xCF03FFFF, 0xFFFFD0E5, 0xFFFFD37D};
+  unsigned ref_u4_vals[NUM] = {0,          0xECFFE4FF, 0x840AB57,  0xFFFFFFFF,
+                               0xFFFFD4FF, 0xCEFFFFFB, 0xFFFFD0E5, 0xFFFFD37D};
+
+  {
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vaddus2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_u2_acc[I[0]] =
+                    __imf_vaddus2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vaddus4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vaddus2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vaddus4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vaddus_2_4 test pass." << std::endl;
+}
+
+void run_vhaddu_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x6DDF66CC, 0x8372833,  0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned ref_u2_vals[NUM] = {0,          0x76AF72E5, 0x42055AB,  0xD5FFCC75,
+                               0xD38A6A95, 0x6781A1FD, 0xAB376872, 0x8A0E69BE};
+  unsigned ref_u4_vals[NUM] = {0,          0x76AF72E5, 0x420552B,  0xD5FFCBF5,
+                               0xD38A6A95, 0x6781A17D, 0xAAB76872, 0x898E693E};
+
+  {
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vhaddu_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_u2_acc[I[0]] =
+                    __imf_vhaddu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vhaddu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vhaddu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vhaddu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vhaddu_2_4 test pass." << std::endl;
+}
+
+void run_vsub_ss_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x6DDF66CC, 0x8372833,  0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned output_ss2_vals[NUM];
+  unsigned output_ss4_vals[NUM];
+  unsigned ref_u2_vals[NUM] = {0,          0x11A01833, 0xF7D25AF1, 0x54006713,
+                               0x56A78206, 0x556568F5, 0x21296169, 0x2D19AF6F};
+  unsigned ref_u4_vals[NUM] = {0,          0x12A01833, 0xF8D25BF1, 0x54006713,
+                               0x56A78206, 0x566569F5, 0x21296269, 0x2D19AF6F};
+  unsigned ref_ss2_vals[NUM] = {0,          0x11A01833, 0xF7D28000, 0x54006713,
+                                0x56A78206, 0x556568F5, 0x21298000, 0x8000AF6F};
+  unsigned ref_ss4_vals[NUM] = {0,          0x127F1833, 0xF8D280F1, 0x54006713,
+                                0x56A78206, 0x5665697F, 0x21298069, 0x8019AF6F};
+
+  {
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_ss2_buf(&output_ss2_vals[0],
+                                          s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_ss4_buf(&output_ss4_vals[0],
+                                          s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          auto output_ss2_acc = output_ss2_buf.get_access<sycl_write>(cgh);
+          auto output_ss4_acc = output_ss4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vsub2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_u2_acc[I[0]] =
+                    __imf_vsub2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vsub4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_ss2_acc[I[0]] =
+                    __imf_vsubss2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_ss4_acc[I[0]] =
+                    __imf_vsubss4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vsub2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vsub4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_ss2_vals[idx] != ref_ss2_vals[idx]) {
+      std::cout << "__imf_vsubss2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_ss4_vals[idx] != ref_ss4_vals[idx]) {
+      std::cout << "__imf_vsubss4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vsub_2_4 test pass." << std::endl;
+}
+
+void run_vsub_us_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x6DDF66CC, 0x8372833,  0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned ref_u2_vals[NUM] = {0,          0x11A01833, 0x5AF1,     0x54006713,
+                               0x56A78206, 0x0,        0x21296169, 0x2D19AF6F};
+  unsigned ref_u4_vals[NUM] = {0,          0x12001833, 0x5B00,     0x54006713,
+                               0x56A78206, 0x0,        0x21296200, 0x2D19AF6F};
+
+  {
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vsubus2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_u2_acc[I[0]] =
+                    __imf_vsubus2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vsubus4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vsubus2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vsubus4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vsubus_2_4 test pass." << std::endl;
+}
+
+void run_vavgs_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324017, 0xFFFFFFFF,
+                                0xFEDEAB98, 0x829C5678, 0x80007FFF, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x7DDF56CC, 0x83728331, 0xABFF98EC,
+                                0xA8372992, 0x8A6CED83, 0x800037BE, 0x73821207};
+  unsigned output_s2_vals[NUM];
+  unsigned output_s4_vals[NUM];
+  unsigned ref_s2_vals[NUM] = {0,          0x7EAF6AE6, 0x8DD2E1A4, 0xD5FFCC75,
+                               0xD38AEA95, 0x868421FE, 0x80005BDF, 0xA0FE9BE};
+  unsigned ref_s4_vals[NUM] = {0,          0x7E2F6AE5, 0x8D52E124, 0xD5FFCBF5,
+                               0xD30BEA95, 0x860422FD, 0x80005BDE, 0xA8EE93F};
+
+  {
+    s::buffer<unsigned, 1> output_s2_buf(&output_s2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_s4_buf(&output_s4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_s2_acc = output_s2_buf.get_access<sycl_write>(cgh);
+          auto output_s4_acc = output_s4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vavgs_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_s2_acc[I[0]] =
+                    __imf_vavgs2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_s4_acc[I[0]] =
+                    __imf_vavgs4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s2_vals[idx] != ref_s2_vals[idx]) {
+      std::cout << "__imf_vavgs2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s4_vals[idx] != ref_s4_vals[idx]) {
+      std::cout << "__imf_vavgs4 failed! idx = " << idx << std::endl;
+      std::cout << std::hex << output_s4_vals[idx] << "  " << ref_s4_vals[idx]
+                << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vavgs_2_4 test pass." << std::endl;
+}
+
+void run_vavgu_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324017, 0xFFFFFFFF,
+                                0xFEDEAB98, 0x829C5678, 0x80007FFF, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {1,          0x7DDF56CC, 0x83728331, 0xABFF98EC,
+                                0xA8372992, 0x8A6CED83, 0x800037BE, 0x73821207};
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned ref_u2_vals[NUM] = {1,          0x7EAF6AE6, 0x8DD261A4, 0xD5FFCC76,
+                               0xD38B6A95, 0x8684A1FE, 0x80005BDF, 0x8A0F69BF};
+  unsigned ref_u4_vals[NUM] = {1,          0x7EAF6AE6, 0x8E526224, 0xD5FFCCF6,
+                               0xD38B6A95, 0x8684A27E, 0x80005BDF, 0x8A8F6A3F};
+
+  {
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vavgu_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_u2_acc[I[0]] =
+                    __imf_vavgu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vavgu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vavgu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vavgu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vavgu_2_4 test pass." << std::endl;
+}
+
+void run_vcmpgts_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0x7F7F7EFF, 0x98324017, 0xFFFFFFFF,
+                                0xFEDEAB98, 0x829C5678, 0x80007FFF, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          0x7DDF56CC, 0x98338331, 0xABFF98EC,
+                                0xA8372992, 0x8A6CED83, 0x800037BE, 0x73821207};
+  unsigned output_s2_vals[NUM];
+  unsigned output_s4_vals[NUM];
+  unsigned ref_s2_vals[NUM] = {0,          0xFFFFFFFF, 0x0000FFFF, 0xFFFFFFFF,
+                               0xFFFF0000, 0x0000FFFF, 0x0000FFFF, 0};
+  unsigned ref_s4_vals[NUM] = {0,          0xFFFFFFFF, 0x0000FF00, 0xFF00FFFF,
+                               0xFF0000FF, 0x0000FFFF, 0x0000FFFF, 0x00FF00FF};
+
+  {
+    s::buffer<unsigned, 1> output_s2_buf(&output_s2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_s4_buf(&output_s4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_s2_acc = output_s2_buf.get_access<sycl_write>(cgh);
+          auto output_s4_acc = output_s4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vcmpgts_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_s2_acc[I[0]] =
+                    __imf_vcmpgts2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_s4_acc[I[0]] =
+                    __imf_vcmpgts4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s2_vals[idx] != ref_s2_vals[idx]) {
+      std::cout << "__imf_vcmpgts2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s4_vals[idx] != ref_s4_vals[idx]) {
+      std::cout << "__imf_vcmpgts4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vcmpgts_2_4 test pass." << std::endl;
+}
+
+void run_vmaxmin_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          1,          0x98324,    0xFFFFFFFF,
+                                0xFEDEAB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0,          1,          0x83712833, 0xABFF98EC,
+                                0xA8372992, 0xBCCFED83, 0x9AA337BE, 0x73821207};
+  unsigned max_output_s2_vals[NUM];
+  unsigned max_output_s4_vals[NUM];
+  unsigned max_output_u2_vals[NUM];
+  unsigned max_output_u4_vals[NUM];
+  unsigned min_output_s2_vals[NUM];
+  unsigned min_output_s4_vals[NUM];
+  unsigned min_output_u2_vals[NUM];
+  unsigned min_output_u4_vals[NUM];
+  unsigned max_ref_s2_vals[NUM] = {0,          1,          0x92833,
+                                   0xFFFFFFFF, 0xFEDE2992, 0x12345678,
+                                   0xBBCC37BE, 0x73821207};
+  unsigned max_ref_s4_vals[NUM] = {0,          1,          0x712833,
+                                   0xFFFFFFFF, 0xFE372998, 0x12345678,
+                                   0xBBCC3727, 0x739B1276};
+  unsigned max_ref_u2_vals[NUM] = {0,          1,          0x83718324,
+                                   0xFFFFFFFF, 0xFEDEAB98, 0xBCCFED83,
+                                   0xBBCC9927, 0xA09BC176};
+  unsigned max_ref_u4_vals[NUM] = {0,          1,          0x83718333,
+                                   0xFFFFFFFF, 0xFEDEAB98, 0xBCCFED83,
+                                   0xBBCC99BE, 0xA09BC176};
+
+  unsigned min_ref_s2_vals[NUM] = {0,          1,          0x83718324,
+                                   0xABFF98EC, 0xA837Ab98, 0xBCCFED83,
+                                   0x9AA39927, 0xA09BC176};
+  unsigned min_ref_s4_vals[NUM] = {0,          1,          0x83098324,
+                                   0xABFF98EC, 0xA8DEAB92, 0xBCCFED83,
+                                   0x9AA399BE, 0xA082C107};
+  unsigned min_ref_u2_vals[NUM] = {0,          1,          0x92833,
+                                   0xABFF98EC, 0xA8372992, 0x12345678,
+                                   0x9AA337BE, 0x73821207};
+  unsigned min_ref_u4_vals[NUM] = {0,          1,          0x92824,
+                                   0xABFF98EC, 0xA8372992, 0x12345678,
+                                   0x9AA33727, 0x73821207};
+
+  {
+    s::buffer<unsigned, 1> max_output_s2_buf(&max_output_s2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> max_output_s4_buf(&max_output_s4_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> max_output_u2_buf(&max_output_u2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> max_output_u4_buf(&max_output_u4_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> min_output_s2_buf(&min_output_s2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> min_output_s4_buf(&min_output_s4_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> min_output_u2_buf(&min_output_u2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> min_output_u4_buf(&min_output_u4_vals[0],
+                                             s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto max_output_s2_acc =
+              max_output_s2_buf.get_access<sycl_write>(cgh);
+          auto max_output_s4_acc =
+              max_output_s4_buf.get_access<sycl_write>(cgh);
+          auto max_output_u2_acc =
+              max_output_u2_buf.get_access<sycl_write>(cgh);
+          auto max_output_u4_acc =
+              max_output_u4_buf.get_access<sycl_write>(cgh);
+          auto min_output_s2_acc =
+              min_output_s2_buf.get_access<sycl_write>(cgh);
+          auto min_output_s4_acc =
+              min_output_s4_buf.get_access<sycl_write>(cgh);
+          auto min_output_u2_acc =
+              min_output_u2_buf.get_access<sycl_write>(cgh);
+          auto min_output_u4_acc =
+              min_output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vmaxmin_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                max_output_s2_acc[I[0]] =
+                    __imf_vmaxs2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                max_output_s4_acc[I[0]] =
+                    __imf_vmaxs4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                max_output_u2_acc[I[0]] =
+                    __imf_vmaxu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                max_output_u4_acc[I[0]] =
+                    __imf_vmaxu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                min_output_s2_acc[I[0]] =
+                    __imf_vmins2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                min_output_s4_acc[I[0]] =
+                    __imf_vmins4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                min_output_u2_acc[I[0]] =
+                    __imf_vminu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                min_output_u4_acc[I[0]] =
+                    __imf_vminu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (max_output_s2_vals[idx] != max_ref_s2_vals[idx]) {
+      std::cout << "__imf_vmaxs2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (max_output_s4_vals[idx] != max_ref_s4_vals[idx]) {
+      std::cout << "__imf_vmaxs4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (max_output_u2_vals[idx] != max_ref_u2_vals[idx]) {
+      std::cout << "__imf_vmaxu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (max_output_u4_vals[idx] != max_ref_u4_vals[idx]) {
+      std::cout << "__imf_vmaxu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (min_output_s2_vals[idx] != min_ref_s2_vals[idx]) {
+      std::cout << "__imf_vmins2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (min_output_s4_vals[idx] != min_ref_s4_vals[idx]) {
+      std::cout << "__imf_vmins4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (min_output_u2_vals[idx] != min_ref_u2_vals[idx]) {
+      std::cout << "__imf_vminu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (min_output_u4_vals[idx] != min_ref_u4_vals[idx]) {
+      std::cout << "__imf_vminu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vmaxmin_2_4 test pass." << std::endl;
+}
+
+void run_vneg_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_vals[NUM] = {0,          1,          0x98324,    0xFFFFFFFF,
+                              0x1345AB98, 0x12345678, 0xBBCC9927, 0xA09BC176};
+  unsigned output2_vals[NUM];
+  unsigned output4_vals[NUM];
+  unsigned ref2_vals[NUM] = {0,          0xFFFF,     0xFFF77CDC, 0x10001,
+                             0xECBB5468, 0xEDCCA988, 0x443466D9, 0x5F653E8A};
+
+  unsigned ref4_vals[NUM] = {0,          0xFF,       0xF77DDC,   0x1010101,
+                             0xEDBB5568, 0xEECCAA88, 0x453467D9, 0x60653F8A};
+  {
+    s::buffer<unsigned, 1> output2_buf(&output2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output4_buf(&output4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output2_acc = output2_buf.get_access<sycl_write>(cgh);
+          auto output4_acc = output4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vneg_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output2_acc[I[0]] = __imf_vneg2(input_vals[I[0]]);
+                output4_acc[I[0]] = __imf_vneg4(input_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output2_vals[idx] != ref2_vals[idx]) {
+      std::cout << "__imf_vneg2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output4_vals[idx] != ref4_vals[idx]) {
+      std::cout << "__imf_vneg4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vneg_2_4 test pass." << std::endl;
+}
+
+void run_vnegss_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 4;
+  unsigned input_vals[NUM] = {1, 0x98324, 0x7FFF8000, 0x7F801127};
+  unsigned output2_vals[NUM];
+  unsigned output4_vals[NUM];
+  unsigned ref2_vals[NUM] = {0xFFFF, 0xFFF77CDC, 0x80017FFF, 0x8080EED9};
+  unsigned ref4_vals[NUM] = {0xFF, 0xF77DDC, 0x81017F00, 0x817FEFD9};
+  {
+    s::buffer<unsigned, 1> output2_buf(&output2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output4_buf(&output4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output2_acc = output2_buf.get_access<sycl_write>(cgh);
+          auto output4_acc = output4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vnegss_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output2_acc[I[0]] = __imf_vnegss2(input_vals[I[0]]);
+                output4_acc[I[0]] = __imf_vnegss4(input_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output2_vals[idx] != ref2_vals[idx]) {
+      std::cout << "__imf_vnegss2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output4_vals[idx] != ref4_vals[idx]) {
+      std::cout << "__imf_vnegss4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vnegss_2_4 test pass." << std::endl;
+}
+
+void run_vsad_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 8;
+  unsigned input_x_vals[NUM] = {0,          0xFFFF,     0x76498324, 0x80008000,
+                                0x7F6F5F4F, 0xFFFFFFFF, 0xBBCC9927, 0xA09BC176};
+  unsigned input_y_vals[NUM] = {0x7F7F8000, 0x12458964, 0x34212833, 0x7FFF7FFF,
+                                0x80818283, 0x0,        0x7FFF6883, 0x12345678};
+  unsigned output_s2_vals[NUM];
+  unsigned output_s4_vals[NUM];
+  unsigned output_u2_vals[NUM];
+  unsigned output_u4_vals[NUM];
+  unsigned ref_s2_vals[NUM] = {0xFF7F,  0x88E0, 0xE737,  0x1FFFE,
+                               0x1DBBA, 0x2,    0x1938F, 0x1069B};
+  unsigned ref_s4_vals[NUM] = {0x17E, 0x132, 0x11E, 0x200,
+                               0x396, 0x4,   0x26A, 0x1A2};
+  unsigned ref_u2_vals[NUM] = {0xFF7F, 0x88E0,  0x9D19, 0x2,
+                               0x2446, 0x1FFFE, 0x6C71, 0xF965};
+  unsigned ref_u4_vals[NUM] = {0x17E, 0x168, 0xD4, 0x200,
+                               0x6A,  0x3FC, 0xFC, 0x162};
+
+  {
+    s::buffer<unsigned, 1> output_s2_buf(&output_s2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_s4_buf(&output_s4_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u2_buf(&output_u2_vals[0], s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_u4_buf(&output_u4_vals[0], s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_s2_acc = output_s2_buf.get_access<sycl_write>(cgh);
+          auto output_s4_acc = output_s4_buf.get_access<sycl_write>(cgh);
+          auto output_u2_acc = output_u2_buf.get_access<sycl_write>(cgh);
+          auto output_u4_acc = output_u4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vsad_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_s2_acc[I[0]] =
+                    __imf_vsads2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_s4_acc[I[0]] =
+                    __imf_vsads4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u2_acc[I[0]] =
+                    __imf_vsadu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_u4_acc[I[0]] =
+                    __imf_vsadu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s2_vals[idx] != ref_s2_vals[idx]) {
+      std::cout << "__imf_vsads2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_s4_vals[idx] != ref_s4_vals[idx]) {
+      std::cout << "__imf_vsads4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u2_vals[idx] != ref_u2_vals[idx]) {
+      std::cout << "__imf_vsadu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_u4_vals[idx] != ref_u4_vals[idx]) {
+      std::cout << "__imf_vsadu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vsad_2_4 test pass." << std::endl;
+}
+
+void run_veqne_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 5;
+  unsigned input_x_vals[NUM] = {0x1, 0xFEDE1122, 0x12345678, 0xFFFFFFFF,
+                                0x98765432};
+  unsigned input_y_vals[NUM] = {0x2, 0xFEDF1133, 0x12345679, 0xFFFFFFFF,
+                                0x87654321};
+  unsigned output_cmpeq2_vals[NUM];
+  unsigned output_cmpeq4_vals[NUM];
+  unsigned output_cmpne2_vals[NUM];
+  unsigned output_cmpne4_vals[NUM];
+  unsigned output_seteq2_vals[NUM];
+  unsigned output_seteq4_vals[NUM];
+  unsigned output_setne2_vals[NUM];
+  unsigned output_setne4_vals[NUM];
+  unsigned cmpeq2_ref_vals[NUM] = {0xFFFF0000, 0, 0xFFFF0000, 0xFFFFFFFF, 0};
+  unsigned cmpeq4_ref_vals[NUM] = {0xFFFFFF00, 0xFF00FF00, 0xFFFFFF00,
+                                   0xFFFFFFFF, 0};
+  unsigned cmpne2_ref_vals[NUM] = {0xFFFF, 0xFFFFFFFF, 0xFFFF, 0, 0xFFFFFFFF};
+  unsigned cmpne4_ref_vals[NUM] = {0xFF, 0xFF00FF, 0xFF, 0, 0xFFFFFFFF};
+
+  unsigned seteq2_ref_vals[NUM] = {0x10000, 0, 0x10000, 0x10001, 0};
+  unsigned seteq4_ref_vals[NUM] = {0x1010100, 0x1000100, 0x1010100, 0x1010101,
+                                   0};
+  unsigned setne2_ref_vals[NUM] = {1, 0x10001, 1, 0, 0x10001};
+  unsigned setne4_ref_vals[NUM] = {1, 0x10001, 1, 0x0, 0x1010101};
+
+  {
+    s::buffer<unsigned, 1> output_cmpeq2_buf(&output_cmpeq2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpeq4_buf(&output_cmpeq4_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpne2_buf(&output_cmpne2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpne4_buf(&output_cmpne4_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_seteq2_buf(&output_seteq2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_seteq4_buf(&output_seteq4_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setne2_buf(&output_setne2_vals[0],
+                                             s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setne4_buf(&output_setne4_vals[0],
+                                             s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_cmpeq2_acc =
+              output_cmpeq2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpeq4_acc =
+              output_cmpeq4_buf.get_access<sycl_write>(cgh);
+          auto output_cmpne2_acc =
+              output_cmpne2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpne4_acc =
+              output_cmpne4_buf.get_access<sycl_write>(cgh);
+          auto output_seteq2_acc =
+              output_seteq2_buf.get_access<sycl_write>(cgh);
+          auto output_seteq4_acc =
+              output_seteq4_buf.get_access<sycl_write>(cgh);
+          auto output_setne2_acc =
+              output_setne2_buf.get_access<sycl_write>(cgh);
+          auto output_setne4_acc =
+              output_setne4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class veqne_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_cmpeq2_acc[I[0]] =
+                    __imf_vcmpeq2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpeq4_acc[I[0]] =
+                    __imf_vcmpeq4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpne2_acc[I[0]] =
+                    __imf_vcmpne2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpne4_acc[I[0]] =
+                    __imf_vcmpne4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_seteq2_acc[I[0]] =
+                    __imf_vseteq2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_seteq4_acc[I[0]] =
+                    __imf_vseteq4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setne2_acc[I[0]] =
+                    __imf_vsetne2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setne4_acc[I[0]] =
+                    __imf_vsetne4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpeq2_vals[idx] != cmpeq2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpeq2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpeq4_vals[idx] != cmpeq4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpeq4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpne2_vals[idx] != cmpne2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpne2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpne4_vals[idx] != cmpne4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpne4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_seteq2_vals[idx] != seteq2_ref_vals[idx]) {
+      std::cout << "__imf_vseteq2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_seteq4_vals[idx] != seteq4_ref_vals[idx]) {
+      std::cout << "__imf_vseteq4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setne2_vals[idx] != setne2_ref_vals[idx]) {
+      std::cout << "__imf_vsetne2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setne4_vals[idx] != setne4_ref_vals[idx]) {
+      std::cout << "__imf_vsetne4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_veqne_2_4 test pass." << std::endl;
+}
+
+void run_vgelt_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 5;
+  unsigned input_x_vals[NUM] = {0x1, 0xFEDE1122, 0x12345678, 0xFFFFFFFF,
+                                0x98765432};
+  unsigned input_y_vals[NUM] = {0x2, 0xFEDF1133, 0x12345679, 0xFFFFFFFF,
+                                0x87654321};
+  unsigned output_cmpges2_vals[NUM];
+  unsigned output_cmpges4_vals[NUM];
+  unsigned output_cmplts2_vals[NUM];
+  unsigned output_cmplts4_vals[NUM];
+  unsigned output_cmpgeu2_vals[NUM];
+  unsigned output_cmpgeu4_vals[NUM];
+  unsigned output_cmpltu2_vals[NUM];
+  unsigned output_cmpltu4_vals[NUM];
+  unsigned output_setges2_vals[NUM];
+  unsigned output_setges4_vals[NUM];
+  unsigned output_setlts2_vals[NUM];
+  unsigned output_setlts4_vals[NUM];
+  unsigned output_setgeu2_vals[NUM];
+  unsigned output_setgeu4_vals[NUM];
+  unsigned output_setltu2_vals[NUM];
+  unsigned output_setltu4_vals[NUM];
+  unsigned cmpges2_ref_vals[NUM] = {0xFFFF0000, 0, 0xFFFF0000, 0xFFFFFFFF,
+                                    0xFFFFFFFF};
+  unsigned cmpges4_ref_vals[NUM] = {0xFFFFFF00, 0xFF00FF00, 0xFFFFFF00,
+                                    0xFFFFFFFF, 0xFFFFFFFF};
+  unsigned cmplts2_ref_vals[NUM] = {0xFFFF, 0xFFFFFFFF, 0xFFFF, 0, 0};
+  unsigned cmplts4_ref_vals[NUM] = {0xFF, 0xFF00FF, 0xFF, 0, 0};
+
+  unsigned cmpgeu2_ref_vals[NUM] = {0xFFFF0000, 0, 0xFFFF0000, 0xFFFFFFFF,
+                                    0xFFFFFFFF};
+  unsigned cmpgeu4_ref_vals[NUM] = {0xFFFFFF00, 0xFF00FF00, 0xFFFFFF00,
+                                    0xFFFFFFFF, 0xFFFFFFFF};
+  unsigned cmpltu2_ref_vals[NUM] = {0xFFFF, 0xFFFFFFFF, 0xFFFF, 0, 0};
+  unsigned cmpltu4_ref_vals[NUM] = {0xFF, 0xFF00FF, 0xFF, 0, 0};
+  unsigned setges2_ref_vals[NUM] = {0x10000, 0, 0x10000, 0x10001, 0x10001};
+  unsigned setges4_ref_vals[NUM] = {0x1010100, 0x1000100, 0x1010100, 0x1010101,
+                                    0x1010101};
+  unsigned setlts2_ref_vals[NUM] = {1, 0x10001, 1, 0, 0};
+  unsigned setlts4_ref_vals[NUM] = {1, 0x10001, 1, 0, 0};
+  unsigned setgeu2_ref_vals[NUM] = {0x10000, 0, 0x10000, 0x10001, 0x10001};
+  unsigned setgeu4_ref_vals[NUM] = {0x1010100, 0x1000100, 0x1010100, 0x1010101,
+                                    0x1010101};
+  unsigned setltu2_ref_vals[NUM] = {1, 0x10001, 1, 0, 0};
+  unsigned setltu4_ref_vals[NUM] = {1, 0x10001, 1, 0, 0};
+
+  {
+    s::buffer<unsigned, 1> output_cmpges2_buf(&output_cmpges2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpges4_buf(&output_cmpges4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmplts2_buf(&output_cmplts2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmplts4_buf(&output_cmplts4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpgeu2_buf(&output_cmpgeu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpgeu4_buf(&output_cmpgeu4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpltu2_buf(&output_cmpltu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpltu4_buf(&output_cmpltu4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setges2_buf(&output_setges2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setges4_buf(&output_setges4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setlts2_buf(&output_setlts2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setlts4_buf(&output_setlts4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setgeu2_buf(&output_setgeu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setgeu4_buf(&output_setgeu4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setltu2_buf(&output_setltu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setltu4_buf(&output_setltu4_vals[0],
+                                              s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_cmpges2_acc =
+              output_cmpges2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpges4_acc =
+              output_cmpges4_buf.get_access<sycl_write>(cgh);
+          auto output_cmplts2_acc =
+              output_cmplts2_buf.get_access<sycl_write>(cgh);
+          auto output_cmplts4_acc =
+              output_cmplts4_buf.get_access<sycl_write>(cgh);
+          auto output_cmpgeu2_acc =
+              output_cmpgeu2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpgeu4_acc =
+              output_cmpgeu4_buf.get_access<sycl_write>(cgh);
+          auto output_cmpltu2_acc =
+              output_cmpltu2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpltu4_acc =
+              output_cmpltu4_buf.get_access<sycl_write>(cgh);
+          auto output_setges2_acc =
+              output_setges2_buf.get_access<sycl_write>(cgh);
+          auto output_setges4_acc =
+              output_setges4_buf.get_access<sycl_write>(cgh);
+          auto output_setlts2_acc =
+              output_setlts2_buf.get_access<sycl_write>(cgh);
+          auto output_setlts4_acc =
+              output_setlts4_buf.get_access<sycl_write>(cgh);
+          auto output_setgeu2_acc =
+              output_setgeu2_buf.get_access<sycl_write>(cgh);
+          auto output_setgeu4_acc =
+              output_setgeu4_buf.get_access<sycl_write>(cgh);
+          auto output_setltu2_acc =
+              output_setltu2_buf.get_access<sycl_write>(cgh);
+          auto output_setltu4_acc =
+              output_setltu4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vgelt_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_cmpges2_acc[I[0]] =
+                    __imf_vcmpges2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpges4_acc[I[0]] =
+                    __imf_vcmpges4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmplts2_acc[I[0]] =
+                    __imf_vcmplts2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmplts4_acc[I[0]] =
+                    __imf_vcmplts4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpgeu2_acc[I[0]] =
+                    __imf_vcmpgeu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpgeu4_acc[I[0]] =
+                    __imf_vcmpgeu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpltu2_acc[I[0]] =
+                    __imf_vcmpltu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpltu4_acc[I[0]] =
+                    __imf_vcmpltu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setges2_acc[I[0]] =
+                    __imf_vsetges2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setges4_acc[I[0]] =
+                    __imf_vsetges4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setlts2_acc[I[0]] =
+                    __imf_vsetlts2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setlts4_acc[I[0]] =
+                    __imf_vsetlts4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setgeu2_acc[I[0]] =
+                    __imf_vsetgeu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setgeu4_acc[I[0]] =
+                    __imf_vsetgeu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setltu2_acc[I[0]] =
+                    __imf_vsetltu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setltu4_acc[I[0]] =
+                    __imf_vsetltu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpges2_vals[idx] != cmpges2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpges2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpges4_vals[idx] != cmpges4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpges4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmplts2_vals[idx] != cmplts2_ref_vals[idx]) {
+      std::cout << "__imf_vcmplts2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmplts4_vals[idx] != cmplts4_ref_vals[idx]) {
+      std::cout << "__imf_vcmplts4 failed! idx = " << idx << std::endl;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpgeu2_vals[idx] != cmpgeu2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpgeu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpgeu4_vals[idx] != cmpgeu4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpgeu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpltu2_vals[idx] != cmpltu2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpltu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpltu4_vals[idx] != cmpltu4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpltu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setges2_vals[idx] != setges2_ref_vals[idx]) {
+      std::cout << "__imf_vsetges2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setges4_vals[idx] != setges4_ref_vals[idx]) {
+      std::cout << "__imf_vsetges4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setlts2_vals[idx] != setlts2_ref_vals[idx]) {
+      std::cout << "__imf_vsetlts2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setlts4_vals[idx] != setlts4_ref_vals[idx]) {
+      std::cout << "__imf_vsetlts4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setgeu2_vals[idx] != setgeu2_ref_vals[idx]) {
+      std::cout << "__imf_vsetgeu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setgeu4_vals[idx] != setgeu4_ref_vals[idx]) {
+      std::cout << "__imf_vsetgeu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setltu2_vals[idx] != setltu2_ref_vals[idx]) {
+      std::cout << "__imf_vsetltu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setltu4_vals[idx] != setltu4_ref_vals[idx]) {
+      std::cout << "__imf_vsetltu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vgelt_2_4 test pass." << std::endl;
+}
+
+void run_vgtle_2_4_test(s::queue &queue) {
+  bool pass = true;
+  static const size_t NUM = 5;
+  unsigned input_x_vals[NUM] = {0x1, 0xFEDE1122, 0x12345678, 0xFFFFFFFF,
+                                0x98765432};
+  unsigned input_y_vals[NUM] = {0x2, 0xFEDF1133, 0x12345679, 0xFFFFFFFF,
+                                0x87654321};
+  unsigned output_cmpgts2_vals[NUM];
+  unsigned output_cmpgts4_vals[NUM];
+  unsigned output_cmples2_vals[NUM];
+  unsigned output_cmples4_vals[NUM];
+  unsigned output_cmpgtu2_vals[NUM];
+  unsigned output_cmpgtu4_vals[NUM];
+  unsigned output_cmpleu2_vals[NUM];
+  unsigned output_cmpleu4_vals[NUM];
+  unsigned output_setgts2_vals[NUM];
+  unsigned output_setgts4_vals[NUM];
+  unsigned output_setles2_vals[NUM];
+  unsigned output_setles4_vals[NUM];
+  unsigned output_setgtu2_vals[NUM];
+  unsigned output_setgtu4_vals[NUM];
+  unsigned output_setleu2_vals[NUM];
+  unsigned output_setleu4_vals[NUM];
+  unsigned cmpgts2_ref_vals[NUM] = {0, 0, 0, 0, 0xFFFFFFFF};
+  unsigned cmpgts4_ref_vals[NUM] = {0, 0, 0, 0, 0xFFFFFFFF};
+  unsigned cmples2_ref_vals[NUM] = {0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF,
+                                    0xFFFFFFFF, 0};
+  unsigned cmples4_ref_vals[NUM] = {0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF,
+                                    0xFFFFFFFF, 0};
+
+  unsigned cmpgtu2_ref_vals[NUM] = {0, 0, 0, 0, 0xFFFFFFFF};
+  unsigned cmpgtu4_ref_vals[NUM] = {0, 0, 0, 0, 0xFFFFFFFF};
+  unsigned cmpleu2_ref_vals[NUM] = {0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF,
+                                    0xFFFFFFFF, 0};
+  unsigned cmpleu4_ref_vals[NUM] = {0xFFFFFFFF, 0xFFFFFFFF, 0xFFFFFFFF,
+                                    0xFFFFFFFF, 0};
+  unsigned setgts2_ref_vals[NUM] = {0, 0, 0, 0, 0x10001};
+  unsigned setgts4_ref_vals[NUM] = {0, 0, 0, 0, 0x1010101};
+  unsigned setles2_ref_vals[NUM] = {0x10001, 0x10001, 0x10001, 0x10001, 0};
+  unsigned setles4_ref_vals[NUM] = {0x1010101, 0x1010101, 0x1010101, 0x1010101,
+                                    0};
+  unsigned setgtu2_ref_vals[NUM] = {0, 0, 0, 0, 0x10001};
+  unsigned setgtu4_ref_vals[NUM] = {0, 0, 0, 0, 0x1010101};
+  unsigned setleu2_ref_vals[NUM] = {0x10001, 0x10001, 0x10001, 0x10001, 0};
+  unsigned setleu4_ref_vals[NUM] = {0x1010101, 0x1010101, 0x1010101, 0x1010101,
+                                    0};
+
+  {
+    s::buffer<unsigned, 1> output_cmpgts2_buf(&output_cmpgts2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpgts4_buf(&output_cmpgts4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmples2_buf(&output_cmples2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmples4_buf(&output_cmples4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpgtu2_buf(&output_cmpgtu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpgtu4_buf(&output_cmpgtu4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpleu2_buf(&output_cmpleu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_cmpleu4_buf(&output_cmpleu4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setgts2_buf(&output_setgts2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setgts4_buf(&output_setgts4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setles2_buf(&output_setles2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setles4_buf(&output_setles4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setgtu2_buf(&output_setgtu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setgtu4_buf(&output_setgtu4_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setleu2_buf(&output_setleu2_vals[0],
+                                              s::range<1>(NUM));
+    s::buffer<unsigned, 1> output_setleu4_buf(&output_setleu4_vals[0],
+                                              s::range<1>(NUM));
+    queue
+        .submit([&](s::handler &cgh) {
+          auto output_cmpgts2_acc =
+              output_cmpgts2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpgts4_acc =
+              output_cmpgts4_buf.get_access<sycl_write>(cgh);
+          auto output_cmples2_acc =
+              output_cmples2_buf.get_access<sycl_write>(cgh);
+          auto output_cmples4_acc =
+              output_cmples4_buf.get_access<sycl_write>(cgh);
+          auto output_cmpgtu2_acc =
+              output_cmpgtu2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpgtu4_acc =
+              output_cmpgtu4_buf.get_access<sycl_write>(cgh);
+          auto output_cmpleu2_acc =
+              output_cmpleu2_buf.get_access<sycl_write>(cgh);
+          auto output_cmpleu4_acc =
+              output_cmpleu4_buf.get_access<sycl_write>(cgh);
+          auto output_setgts2_acc =
+              output_setgts2_buf.get_access<sycl_write>(cgh);
+          auto output_setgts4_acc =
+              output_setgts4_buf.get_access<sycl_write>(cgh);
+          auto output_setles2_acc =
+              output_setles2_buf.get_access<sycl_write>(cgh);
+          auto output_setles4_acc =
+              output_setles4_buf.get_access<sycl_write>(cgh);
+          auto output_setgtu2_acc =
+              output_setgtu2_buf.get_access<sycl_write>(cgh);
+          auto output_setgtu4_acc =
+              output_setgtu4_buf.get_access<sycl_write>(cgh);
+          auto output_setleu2_acc =
+              output_setleu2_buf.get_access<sycl_write>(cgh);
+          auto output_setleu4_acc =
+              output_setleu4_buf.get_access<sycl_write>(cgh);
+          cgh.parallel_for<class vgtle_2_4_test>(
+              s::range<1>(NUM), [=](s::id<1> I) {
+                output_cmpgts2_acc[I[0]] =
+                    __imf_vcmpgts2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpgts4_acc[I[0]] =
+                    __imf_vcmpgts4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmples2_acc[I[0]] =
+                    __imf_vcmples2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmples4_acc[I[0]] =
+                    __imf_vcmples4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpgtu2_acc[I[0]] =
+                    __imf_vcmpgtu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpgtu4_acc[I[0]] =
+                    __imf_vcmpgtu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpleu2_acc[I[0]] =
+                    __imf_vcmpleu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_cmpleu4_acc[I[0]] =
+                    __imf_vcmpleu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setgts2_acc[I[0]] =
+                    __imf_vsetgts2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setgts4_acc[I[0]] =
+                    __imf_vsetgts4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setles2_acc[I[0]] =
+                    __imf_vsetles2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setles4_acc[I[0]] =
+                    __imf_vsetles4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setgtu2_acc[I[0]] =
+                    __imf_vsetgtu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setgtu4_acc[I[0]] =
+                    __imf_vsetgtu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setleu2_acc[I[0]] =
+                    __imf_vsetleu2(input_x_vals[I[0]], input_y_vals[I[0]]);
+                output_setleu4_acc[I[0]] =
+                    __imf_vsetleu4(input_x_vals[I[0]], input_y_vals[I[0]]);
+              });
+        })
+        .wait();
+  }
+
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpgts2_vals[idx] != cmpgts2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpgts2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpgts4_vals[idx] != cmpgts4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpgts4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmples2_vals[idx] != cmples2_ref_vals[idx]) {
+      std::cout << "__imf_vcmples2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmples4_vals[idx] != cmples4_ref_vals[idx]) {
+      std::cout << "__imf_vcmples4 failed! idx = " << idx << std::endl;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpgtu2_vals[idx] != cmpgtu2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpgtu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpgtu4_vals[idx] != cmpgtu4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpgtu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpleu2_vals[idx] != cmpleu2_ref_vals[idx]) {
+      std::cout << "__imf_vcmpleu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_cmpleu4_vals[idx] != cmpleu4_ref_vals[idx]) {
+      std::cout << "__imf_vcmpleu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setgts2_vals[idx] != setgts2_ref_vals[idx]) {
+      std::cout << "__imf_vsetgts2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setgts4_vals[idx] != setgts4_ref_vals[idx]) {
+      std::cout << "__imf_vsetgts4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setles2_vals[idx] != setles2_ref_vals[idx]) {
+      std::cout << "__imf_vsetles2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setles4_vals[idx] != setles4_ref_vals[idx]) {
+      std::cout << "__imf_vsetles4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setgtu2_vals[idx] != setgtu2_ref_vals[idx]) {
+      std::cout << "__imf_vsetgtu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setgtu4_vals[idx] != setgtu4_ref_vals[idx]) {
+      std::cout << "__imf_vsetgtu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setleu2_vals[idx] != setleu2_ref_vals[idx]) {
+      std::cout << "__imf_vsetleu2 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  for (size_t idx = 0; idx < NUM; ++idx) {
+    if (output_setleu4_vals[idx] != setleu4_ref_vals[idx]) {
+      std::cout << "__imf_vsetleu4 failed! idx = " << idx << std::endl;
+      pass = false;
+      break;
+    }
+  }
+  assert(pass);
+  std::cout << "__imf_vgtle_2_4 test pass." << std::endl;
+}
+
+int main(int, char **) {
+  s::queue device_queue(s::default_selector_v);
+  std::cout << "Running on "
+            << device_queue.get_device().get_info<s::info::device::name>()
+            << "\n";
+  run_vabs2_4_test(device_queue);
+  run_vabsss2_4_test(device_queue);
+  run_vabsdiffsu2_4_test(device_queue);
+  run_vadd_ss_2_4_test(device_queue);
+  run_vadd_us_2_4_test(device_queue);
+  run_vsub_ss_2_4_test(device_queue);
+  run_vsub_us_2_4_test(device_queue);
+  run_vhaddu_2_4_test(device_queue);
+  run_vavgu_2_4_test(device_queue);
+  run_vcmpgts_2_4_test(device_queue);
+  run_vmaxmin_2_4_test(device_queue);
+  run_vneg_2_4_test(device_queue);
+  run_vnegss_2_4_test(device_queue);
+  run_vsad_2_4_test(device_queue);
+  run_veqne_2_4_test(device_queue);
+  run_vgelt_2_4_test(device_queue);
+  run_vgtle_2_4_test(device_queue);
+}
diff --git a/sycl/test-e2e/DeviceLib/imf_utils.hpp b/sycl/test-e2e/DeviceLib/imf_utils.hpp
new file mode 100644
index 0000000000000..3c83aff69262f
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/imf_utils.hpp
@@ -0,0 +1,228 @@
+#pragma once
+#include <cassert>
+#include <climits>
+#include <cstdint>
+#include <initializer_list>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+
+#if defined(__SPIR__)
+typedef _Float16 _iml_half_internal;
+#else
+typedef uint16_t _iml_half_internal;
+#endif
+
+template <class Ty> class imf_utils_default_equ {
+public:
+  bool operator()(Ty x, Ty y) {
+    if constexpr (std::is_same_v<Ty, sycl::half2>) {
+      return (x.s0() == y.s0()) && (x.s1() == y.s1());
+    } else
+      return x == y;
+  };
+};
+
+// Used to test half precision utils
+template <class InputTy, class OutputTy, class FuncTy,
+          class EquTy = imf_utils_default_equ<OutputTy>>
+void test_host(std::initializer_list<InputTy> Input,
+               std::initializer_list<OutputTy> RefOutput, FuncTy Func,
+               int Line = __builtin_LINE()) {
+  auto Size = Input.size();
+  assert(RefOutput.size() == Size);
+
+  for (int i = 0; i < Size; ++i) {
+    auto Expected = *(std::begin(RefOutput) + i);
+    auto Res = Func(*(std::begin(Input) + i));
+    if (EquTy()(Expected, Res))
+      continue;
+
+    std::cout << "Mismatch at line " << Line << "[" << i << "]: " << Res
+              << " != " << Expected << std::endl;
+    assert(false);
+  }
+}
+
+template <class InputTy, class OutputTy, class FuncTy,
+          class EquTy = imf_utils_default_equ<OutputTy>>
+void test(sycl::queue &q, std::initializer_list<InputTy> Input,
+          std::initializer_list<OutputTy> RefOutput, FuncTy Func,
+          int Line = __builtin_LINE()) {
+  auto Size = Input.size();
+  assert(RefOutput.size() == Size);
+
+  sycl::buffer<InputTy> InBuf(Size);
+  {
+    sycl::host_accessor InAcc(InBuf, sycl::write_only);
+    int i = 0;
+    for (auto x : Input)
+      InAcc[i++] = x;
+  }
+
+  sycl::buffer<OutputTy> OutBuf(Size);
+  q.submit([&](sycl::handler &CGH) {
+     sycl::accessor InAcc(InBuf, CGH, sycl::read_only);
+     sycl::accessor OutAcc(OutBuf, CGH, sycl::write_only);
+     CGH.parallel_for(Size,
+                      [=](sycl::id<1> Id) { OutAcc[Id] = Func(InAcc[Id]); });
+   }).wait();
+
+  sycl::host_accessor Acc(OutBuf, sycl::read_only);
+  for (int i = 0; i < Size; ++i) {
+    auto Expected = *(std::begin(RefOutput) + i);
+    if constexpr (std::is_same_v<OutputTy, sycl::half2>) {
+      if (EquTy()(Expected, Acc[i]))
+        continue;
+      std::cout << "Mismatch at line " << Line << "[" << i << "]: ("
+                << Acc[i].s0() << ", " << Acc[i].s1() << ")"
+                << " != (" << Expected.s0() << ", " << Expected.s1() << ")"
+                << ", input was (" << (*(std::begin(Input) + i)).s0() << ", "
+                << (*(std::begin(Input) + i)).s1() << ")" << std::endl;
+    } else {
+      if (EquTy()(Expected, Acc[i]))
+        continue;
+      std::cout << "Mismatch at line " << Line << "[" << i << "]: " << Acc[i]
+                << " != " << Expected << ", input was "
+                << *(std::begin(Input) + i) << std::endl;
+    }
+    assert(false);
+  }
+}
+
+template <class InputTy, class OutputTy, class FuncTy,
+          class EquTy = imf_utils_default_equ<OutputTy>>
+void test2(sycl::queue &q, std::initializer_list<InputTy> Input1,
+           std::initializer_list<InputTy> Input2,
+           std::initializer_list<OutputTy> RefOutput, FuncTy Func,
+           int Line = __builtin_LINE()) {
+  auto Size = Input1.size();
+  assert(Size == Input2.size());
+  assert(RefOutput.size() == Size);
+
+  sycl::buffer<InputTy> InBuf1(Size);
+  sycl::buffer<InputTy> InBuf2(Size);
+  {
+    sycl::host_accessor InAcc1(InBuf1, sycl::write_only);
+    sycl::host_accessor InAcc2(InBuf2, sycl::write_only);
+    for (int i = 0; i < Size; ++i) {
+      InAcc1[i] = *(std::begin(Input1) + i);
+      InAcc2[i] = *(std::begin(Input2) + i);
+    }
+  }
+
+  sycl::buffer<OutputTy> OutBuf(Size);
+  q.submit([&](sycl::handler &CGH) {
+     sycl::accessor InAcc1(InBuf1, CGH, sycl::read_only);
+     sycl::accessor InAcc2(InBuf2, CGH, sycl::read_only);
+     sycl::accessor OutAcc(OutBuf, CGH, sycl::write_only);
+     CGH.parallel_for(Size, [=](sycl::id<1> Id) {
+       OutAcc[Id] = Func(InAcc1[Id], InAcc2[Id]);
+     });
+   }).wait();
+
+  sycl::host_accessor Acc(OutBuf, sycl::read_only);
+  for (int i = 0; i < Size; ++i) {
+    auto Expected = *(std::begin(RefOutput) + i);
+    if constexpr (std::is_same_v<OutputTy, sycl::half2>) {
+      if (EquTy()(Expected, Acc[i]))
+        continue;
+      std::cout << "Mismatch at line " << Line << "[" << i << "]: ("
+                << Acc[i].s0() << ", " << Acc[i].s1() << ")"
+                << " != (" << Expected.s0() << ", " << Expected.s1()
+                << "), input idx was " << i << std::endl;
+    } else {
+      if (EquTy()(Expected, Acc[i]))
+        continue;
+      std::cout << "Mismatch at line " << Line << "[" << i << "]: " << Acc[i]
+                << " != " << Expected << ", input idx was " << i << std::endl;
+    }
+    assert(false);
+  }
+}
+
+template <class InputTy1, class InputTy2, class InputTy3, class OutputTy,
+          class FuncTy, class EquTy = imf_utils_default_equ<OutputTy>>
+void test3(sycl::queue &q, std::initializer_list<InputTy1> Input1,
+           std::initializer_list<InputTy2> Input2,
+           std::initializer_list<InputTy3> Input3,
+           std::initializer_list<OutputTy> RefOutput, FuncTy Func,
+           int Line = __builtin_LINE()) {
+  auto Size = Input1.size();
+  assert((Size == Input2.size()) && (Size == Input3.size()));
+  assert(RefOutput.size() == Size);
+
+  sycl::buffer<InputTy1> InBuf1(Size);
+  sycl::buffer<InputTy2> InBuf2(Size);
+  sycl::buffer<InputTy3> InBuf3(Size);
+  {
+    sycl::host_accessor InAcc1(InBuf1, sycl::write_only);
+    sycl::host_accessor InAcc2(InBuf2, sycl::write_only);
+    sycl::host_accessor InAcc3(InBuf3, sycl::write_only);
+    for (int i = 0; i < Size; ++i) {
+      InAcc1[i] = *(std::begin(Input1) + i);
+      InAcc2[i] = *(std::begin(Input2) + i);
+      InAcc3[i] = *(std::begin(Input3) + i);
+    }
+  }
+
+  sycl::buffer<OutputTy> OutBuf(Size);
+  q.submit([&](sycl::handler &CGH) {
+     sycl::accessor InAcc1(InBuf1, CGH, sycl::read_only);
+     sycl::accessor InAcc2(InBuf2, CGH, sycl::read_only);
+     sycl::accessor InAcc3(InBuf3, CGH, sycl::read_only);
+     sycl::accessor OutAcc(OutBuf, CGH, sycl::write_only);
+     CGH.parallel_for(Size, [=](sycl::id<1> Id) {
+       OutAcc[Id] = Func(InAcc1[Id], InAcc2[Id], InAcc3[Id]);
+     });
+   }).wait();
+
+  sycl::host_accessor Acc(OutBuf, sycl::read_only);
+  for (int i = 0; i < Size; ++i) {
+    auto Expected = *(std::begin(RefOutput) + i);
+    if constexpr (std::is_same_v<OutputTy, sycl::half2>) {
+      if (EquTy()(Expected, Acc[i]))
+        continue;
+      std::cout << "Mismatch at line " << Line << "[" << i << "]: ("
+                << Acc[i].s0() << ", " << Acc[i].s1() << ")"
+                << " != (" << Expected.s0() << ", " << Expected.s1()
+                << "), input idx was " << i << std::endl;
+    } else {
+      if (EquTy()(Expected, Acc[i]))
+        continue;
+      std::cout << "Mismatch at line " << Line << "[" << i << "]: " << Acc[i]
+                << " != " << Expected << ", input was "
+                << *(std::begin(Input1) + i) << ", "
+                << *(std::begin(Input2) + i) << ", "
+                << *(std::begin(Input3) + i) << std::endl;
+    }
+    assert(false);
+  }
+}
+
+#define F(Name) [](auto x) { return (Name)(x); }
+#define FT(T, Name) [](auto x) { return __builtin_bit_cast(T, (Name)(x)); }
+#define F2(Name) [](auto x, auto y) { return (Name)(x, y); }
+#define F3(Name) [](auto x, auto y, auto z) { return (Name)(x, y, z); }
+#if defined(__SPIR__)
+#define F_Half1(Name)                                                          \
+  [](uint16_t x) { return (Name)(__builtin_bit_cast(_Float16, x)); }
+#define F_Half2(Name)                                                          \
+  [](auto x) { return __builtin_bit_cast(uint16_t, (Name)(x)); }
+#define F_Half3(Name)                                                          \
+  [](unsigned int x) {                                                         \
+    return __builtin_bit_cast(uint16_t, (Name)(__builtin_bit_cast(float, x))); \
+  }
+#define F_Half4(Name)                                                          \
+  [](uint64_t x) {                                                             \
+    return __builtin_bit_cast(uint16_t,                                        \
+                              (Name)(__builtin_bit_cast(double, x)));          \
+  }
+#else
+#define F_Half1(Name) [](uint16_t x) { return (Name)(x); }
+#define F_Half2(Name) [](auto x) { return (Name)(x); }
+#define F_Half3(Name)                                                          \
+  [](unsigned int x) { return (Name)(__builtin_bit_cast(float, x)); }
+#define F_Half4(Name)                                                          \
+  [](uint64_t x) { return (Name)(__builtin_bit_cast(double, x)); }
+#endif
diff --git a/sycl/test-e2e/DeviceLib/math_fp64_test.cpp b/sycl/test-e2e/DeviceLib/math_fp64_test.cpp
new file mode 100644
index 0000000000000..8f55710f8f8c3
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_fp64_test.cpp
@@ -0,0 +1,173 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "math_utils.hpp"
+#include <cstdint>
+#include <iostream>
+#include <math.h>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+#define TEST_NUM 61
+
+double ref_val[TEST_NUM] = {
+    1, 0, 0, 0, 0, 0, 0, 1, 1, 0.5, 0, 2, 0, 0,   1,   0,   2,   0, 0, 0, 0,
+    0, 1, 0, 1, 2, 0, 1, 2, 5, 0,   0, 0, 0, 0.5, 0.5, NAN, NAN, 2, 0, 0, 0,
+    0, 0, 0, 0, 0, 0, 0, 0, 0, 0,   0, 0, 0, 0,   0,   0,   0,   0, 0};
+
+double refIptr = 1;
+
+void device_math_test(s::queue &deviceQueue) {
+  s::range<1> numOfItems{TEST_NUM};
+  double result[TEST_NUM] = {-1};
+
+  // Variable exponent is an integer value to store the exponent in frexp
+  // function
+  int exponent = -1;
+
+  // Variable iptr stores the integral part of float point in modf function
+  double iptr = -1;
+
+  // Variable quo stores the sign and some bits of x/y in remquo function
+  int quo = -1;
+  {
+    s::buffer<double, 1> buffer1(result, numOfItems);
+    s::buffer<int, 1> buffer2(&exponent, s::range<1>{1});
+    s::buffer<double, 1> buffer3(&iptr, s::range<1>{1});
+    s::buffer<int, 1> buffer4(&quo, s::range<1>{1});
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto exp_access = buffer2.template get_access<sycl_write>(cgh);
+      auto iptr_access = buffer3.template get_access<sycl_write>(cgh);
+      auto quo_access = buffer4.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest>([=]() {
+        int i = 0;
+        double nan = NAN;
+        double minus_nan = -NAN;
+        double infinity = INFINITY;
+        double minus_infinity = -INFINITY;
+        double subnormal;
+        *((uint64_t *)&subnormal) = 0xFFFFFFFFFFFFFULL;
+
+        res_access[i++] = cos(0.0);
+        res_access[i++] = sin(0.0);
+        res_access[i++] = log(1.0);
+        res_access[i++] = acos(1.0);
+        res_access[i++] = asin(0.0);
+        res_access[i++] = atan(0.0);
+        res_access[i++] = atan2(0.0, 1.0);
+        res_access[i++] = cosh(0.0);
+        res_access[i++] = exp(0.0);
+        res_access[i++] = fmod(1.5, 1.0);
+        res_access[i++] = frexp(0.0, &exp_access[0]);
+        res_access[i++] = ldexp(1.0, 1);
+        res_access[i++] = log10(1.0);
+        res_access[i++] = modf(1.0, &iptr_access[0]);
+        res_access[i++] = pow(1.0, 1.0);
+        res_access[i++] = sinh(0.0);
+        res_access[i++] = sqrt(4.0);
+        res_access[i++] = tan(0.0);
+        res_access[i++] = tanh(0.0);
+        res_access[i++] = acosh(1.0);
+        res_access[i++] = asinh(0.0);
+        res_access[i++] = atanh(0.0);
+        res_access[i++] = cbrt(1.0);
+        res_access[i++] = erf(0.0);
+        res_access[i++] = erfc(0.0);
+        res_access[i++] = exp2(1.0);
+        res_access[i++] = expm1(0.0);
+        res_access[i++] = fdim(1.0, 0.0);
+        res_access[i++] = fma(1.0, 1.0, 1.0);
+        res_access[i++] = hypot(3.0, 4.0);
+        res_access[i++] = ilogb(1.0);
+        res_access[i++] = log1p(0.0);
+        res_access[i++] = log2(1.0);
+        res_access[i++] = logb(1.0);
+        res_access[i++] = remainder(0.5, 1.0);
+        res_access[i++] = remquo(0.5, 1.0, &quo_access[0]);
+        res_access[i++] = tgamma(nan);
+        res_access[i++] = lgamma(nan);
+        res_access[i++] = scalbn(1.0, 1);
+
+        res_access[i++] = !(signbit(infinity) == 0);
+        res_access[i++] = !(signbit(minus_infinity) != 0);
+        res_access[i++] = !(isunordered(minus_nan, nan) != 0);
+        res_access[i++] = !(isunordered(minus_infinity, infinity) == 0);
+        res_access[i++] = !(isgreater(minus_infinity, infinity) == 0);
+        res_access[i++] = !(isgreater(0.0, minus_nan) == 0);
+#ifdef _WIN32
+        res_access[i++] = !(isfinite(0.0) != 0);
+        res_access[i++] = !(isfinite(nan) == 0);
+        res_access[i++] = !(isfinite(infinity) == 0);
+        res_access[i++] = !(isfinite(minus_infinity) == 0);
+
+        res_access[i++] = !(isinf(0.0) == 0);
+        res_access[i++] = !(isinf(nan) == 0);
+        res_access[i++] = !(isinf(infinity) != 0);
+        res_access[i++] = !(isinf(minus_infinity) != 0);
+#else  // !_WIN32
+       // __builtin_isfinite is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+
+        // __builtin_isinf is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+#endif // !_WIN32
+        res_access[i++] = !(isnan(0.0) == 0);
+        res_access[i++] = !(isnan(nan) != 0);
+        res_access[i++] = !(isnan(infinity) == 0);
+        res_access[i++] = !(isnan(minus_infinity) == 0);
+#ifdef _WIN32
+        res_access[i++] = !(isnormal(nan) == 0);
+        res_access[i++] = !(isnormal(minus_infinity) == 0);
+        res_access[i++] = !(isnormal(subnormal) == 0);
+        res_access[i++] = !(isnormal(1.0) != 0);
+#else  // !_WIN32
+       // __builtin_isnormal() is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+#endif // !_WIN32
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < TEST_NUM; ++i) {
+    assert(approx_equal_fp(result[i], ref_val[i]));
+  }
+
+  // Test modf integral part
+  assert(approx_equal_fp(iptr, refIptr));
+
+  // Test frexp exponent
+  assert(exponent == 0);
+
+  // Test remquo sign
+  assert(quo == 0);
+}
+
+int main() {
+  s::queue deviceQueue;
+  if (deviceQueue.get_device().has(sycl::aspect::fp64)) {
+    device_math_test(deviceQueue);
+    std::cout << "Pass" << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/math_fp64_windows_test.cpp b/sycl/test-e2e/DeviceLib/math_fp64_windows_test.cpp
new file mode 100644
index 0000000000000..dd82ede2e4075
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_fp64_windows_test.cpp
@@ -0,0 +1,133 @@
+// UNSUPPORTED: windows
+// Disabled on windows due to bug VS 2019 missing math builtins
+
+// REQUIRES: (cpu || accelerator) && windows
+// RUN: %clangxx -fsycl -c %s -o %t.o
+// RUN: %clangxx -fsycl %t.o %sycl_libs_dir/../bin/libsycl-cmath-fp64.o -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+#include "math_utils.hpp"
+#include <iostream>
+#include <math.h>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+#define TEST_NUM 41
+
+double ref_val[TEST_NUM] = {1, 0, 0, 0, 0, 0, 0,   1,   1,   0.5, 0, 2, 0, 0,
+                            1, 0, 2, 0, 0, 0, 0,   0,   1,   0,   1, 2, 0, 1,
+                            2, 5, 0, 0, 0, 0, 0.5, 0.5, NAN, NAN, 1, 2, 0};
+
+double refIptr = 1;
+
+void device_math_test(s::queue &deviceQueue) {
+  s::range<1> numOfItems{TEST_NUM};
+  double result[TEST_NUM] = {-1};
+
+  // Variable exponent is an integer value to store the exponent in frexp
+  // function
+  int exponent = -1;
+
+  // Variable iptr stores the integral part of float point in modf function
+  double iptr = -1;
+
+  // Variable quo stores the sign and some bits of x/y in remquo function
+  int quo = -1;
+
+  // Varaible enm stores the enum value retured by MSVC function
+  short enm[2] = {10, 10};
+  {
+    s::buffer<double, 1> buffer1(result, numOfItems);
+    s::buffer<int, 1> buffer2(&exponent, s::range<1>{1});
+    s::buffer<double, 1> buffer3(&iptr, s::range<1>{1});
+    s::buffer<int, 1> buffer4(&quo, s::range<1>{1});
+    s::buffer<short, 1> buffer5(enm, s::range<1>{2});
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto exp_access = buffer2.template get_access<sycl_write>(cgh);
+      auto iptr_access = buffer3.template get_access<sycl_write>(cgh);
+      auto quo_access = buffer4.template get_access<sycl_write>(cgh);
+      auto enm_access = buffer5.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest>([=]() {
+        int i = 0;
+        res_access[i++] = cos(0.0);
+        res_access[i++] = sin(0.0);
+        res_access[i++] = log(1.0);
+        res_access[i++] = acos(1.0);
+        res_access[i++] = asin(0.0);
+        res_access[i++] = atan(0.0);
+        res_access[i++] = atan2(0.0, 1.0);
+        res_access[i++] = cosh(0.0);
+        res_access[i++] = exp(0.0);
+        res_access[i++] = fmod(1.5, 1.0);
+        res_access[i++] = frexp(0.0, &exp_access[0]);
+        res_access[i++] = ldexp(1.0, 1);
+        res_access[i++] = log10(1.0);
+        res_access[i++] = modf(1.0, &iptr_access[0]);
+        res_access[i++] = pow(1.0, 1.0);
+        res_access[i++] = sinh(0.0);
+        res_access[i++] = sqrt(4.0);
+        res_access[i++] = tan(0.0);
+        res_access[i++] = tanh(0.0);
+        res_access[i++] = acosh(1.0);
+        res_access[i++] = asinh(0.0);
+        res_access[i++] = atanh(0.0);
+        res_access[i++] = cbrt(1.0);
+        res_access[i++] = erf(0.0);
+        res_access[i++] = erfc(0.0);
+        res_access[i++] = exp2(1.0);
+        res_access[i++] = expm1(0.0);
+        res_access[i++] = fdim(1.0, 0.0);
+        res_access[i++] = fma(1.0, 1.0, 1.0);
+        res_access[i++] = hypot(3.0, 4.0);
+        res_access[i++] = ilogb(1.0);
+        res_access[i++] = log1p(0.0);
+        res_access[i++] = log2(1.0);
+        res_access[i++] = logb(1.0);
+        res_access[i++] = remainder(0.5, 1.0);
+        res_access[i++] = remquo(0.5, 1.0, &quo_access[0]);
+        double a = NAN;
+        res_access[i++] = tgamma(a);
+        res_access[i++] = lgamma(a);
+        enm_access[0] = _Dtest(&a);
+        a = 0.0;
+        enm_access[1] = _Exp(&a, 1.0, 0);
+        res_access[i++] = a;
+        res_access[i++] = _Cosh(0.0, 2.0);
+        res_access[i++] = _Sinh(0.0, 1.0);
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < TEST_NUM; ++i) {
+    assert(approx_equal_fp(result[i], ref_val[i]));
+  }
+
+  // Test modf integral part
+  assert(approx_equal_fp(iptr, refIptr));
+
+  // Test frexp exponent
+  assert(exponent == 0);
+
+  // Test remquo sign
+  assert(quo == 0);
+
+  // Test enum value returned by _Dtest
+  assert(enm[0] == _NANCODE);
+
+  // Test enum value returned by _Exp
+  assert(enm[1] == _FINITE);
+}
+
+int main() {
+  s::queue deviceQueue;
+  if (deviceQueue.get_device().has(sycl::aspect::fp64)) {
+    device_math_test(deviceQueue);
+    std::cout << "Pass" << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/math_override_test.cpp b/sycl/test-e2e/DeviceLib/math_override_test.cpp
new file mode 100644
index 0000000000000..c0feaf37f3094
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_override_test.cpp
@@ -0,0 +1,48 @@
+// UNSUPPORTED: windows
+// RUN: %clangxx -fsycl %s -o %t.out -fno-builtin
+#include <iostream>
+#include <math.h>
+#include <sycl/sycl.hpp>
+
+#include "math_utils.hpp"
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+// Dummy function provided by user to override device library
+// version.
+SYCL_EXTERNAL
+extern "C" float sinf(float x) { return x + 100.f; }
+
+SYCL_EXTERNAL
+extern "C" float cosf(float x);
+class DeviceTest;
+
+void device_test() {
+  s::queue deviceQueue;
+  s::range<1> numOfItems{1};
+  float result_sin = 0;
+  float result_cos = 0;
+  {
+    s::buffer<float, 1> buffer1(&result_sin, numOfItems);
+    s::buffer<float, 1> buffer2(&result_cos, numOfItems);
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto res_access_sin = buffer1.get_access<sycl_write>(cgh);
+      auto res_access_cos = buffer2.get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceTest>([=]() {
+        // Should use the sin function defined by user, device
+        // library version should be ignored here
+        res_access_sin[0] = sinf(0.f);
+        res_access_cos[0] = cosf(0.f);
+      });
+    });
+  }
+  assert(approx_equal_fp(result_sin, 100.f) &&
+         approx_equal_fp(result_cos, 1.f));
+}
+
+int main() {
+  device_test();
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/math_test.cpp b/sycl/test-e2e/DeviceLib/math_test.cpp
new file mode 100644
index 0000000000000..24a9e4a5f2418
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_test.cpp
@@ -0,0 +1,160 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "math_utils.hpp"
+#include <cstdint>
+#include <iostream>
+#include <math.h>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+#define TEST_NUM 59
+
+float ref_val[TEST_NUM] = {
+    1, 0, 0, 0, 0, 0, 0, 1, 1, 0.5, 0, 0, 1,   0,   2,   0,   0, 0, 0, 0,
+    1, 0, 1, 2, 0, 1, 2, 5, 0, 0,   0, 0, 0.5, 0.5, NAN, NAN, 2, 0, 0, 0,
+    0, 0, 0, 0, 0, 0, 0, 0, 0, 0,   0, 0, 0,   0,   0,   0,   0, 0, 0};
+
+float refIptr = 1;
+
+void device_math_test(s::queue &deviceQueue) {
+  s::range<1> numOfItems{TEST_NUM};
+  float result[TEST_NUM] = {-1};
+
+  // Variable iptr stores the integral part of float point in modf function
+  float iptr = -1;
+
+  // Variable quo stores the sign and some bits of x/y in remquo function
+  int quo = -1;
+  {
+    s::buffer<float, 1> buffer1(result, numOfItems);
+    s::buffer<float, 1> buffer2(&iptr, s::range<1>{1});
+    s::buffer<int, 1> buffer3(&quo, s::range<1>{1});
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto iptr_access = buffer2.template get_access<sycl_write>(cgh);
+      auto quo_access = buffer3.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest>([=]() {
+        int i = 0;
+        float nan = NAN;
+        float minus_nan = -NAN;
+        float infinity = INFINITY;
+        float minus_infinity = -INFINITY;
+        float subnormal;
+        *((uint32_t *)&subnormal) = 0x7FFFFF;
+
+        res_access[i++] = cosf(0.0f);
+        res_access[i++] = sinf(0.0f);
+        res_access[i++] = logf(1.0f);
+        res_access[i++] = acosf(1.0f);
+        res_access[i++] = asinf(0.0f);
+        res_access[i++] = atanf(0.0f);
+        res_access[i++] = atan2f(0.0f, 1.0f);
+        res_access[i++] = coshf(0.0f);
+        res_access[i++] = expf(0.0f);
+        res_access[i++] = fmodf(1.5f, 1.0f);
+        res_access[i++] = log10f(1.0f);
+        res_access[i++] = modff(1.0f, &iptr_access[0]);
+        res_access[i++] = powf(1.0f, 1.0f);
+        res_access[i++] = sinhf(0.0f);
+        res_access[i++] = sqrtf(4.0f);
+        res_access[i++] = tanf(0.0f);
+        res_access[i++] = tanhf(0.0f);
+        res_access[i++] = acoshf(1.0f);
+        res_access[i++] = asinhf(0.0f);
+        res_access[i++] = atanhf(0.0f);
+        res_access[i++] = cbrtf(1.0f);
+        res_access[i++] = erff(0.0f);
+        res_access[i++] = erfcf(0.0f);
+        res_access[i++] = exp2f(1.0f);
+        res_access[i++] = expm1f(0.0f);
+        res_access[i++] = fdimf(1.0f, 0.0f);
+        res_access[i++] = fmaf(1.0f, 1.0f, 1.0f);
+        res_access[i++] = hypotf(3.0f, 4.0f);
+        res_access[i++] = ilogbf(1.0f);
+        res_access[i++] = log1pf(0.0f);
+        res_access[i++] = log2f(1.0f);
+        res_access[i++] = logbf(1.0f);
+        res_access[i++] = remainderf(0.5f, 1.0f);
+        res_access[i++] = remquof(0.5f, 1.0f, &quo_access[0]);
+        res_access[i++] = tgammaf(nan);
+        res_access[i++] = lgammaf(nan);
+        res_access[i++] = scalbnf(1.0f, 1);
+
+        res_access[i++] = !(signbit(infinity) == 0);
+        res_access[i++] = !(signbit(minus_infinity) != 0);
+        res_access[i++] = !(isunordered(minus_nan, nan) != 0);
+        res_access[i++] = !(isunordered(minus_infinity, infinity) == 0);
+        res_access[i++] = !(isgreater(minus_infinity, infinity) == 0);
+        res_access[i++] = !(isgreater(0.0f, minus_nan) == 0);
+#ifdef _WIN32
+        res_access[i++] = !(isfinite(0.0f) != 0);
+        res_access[i++] = !(isfinite(nan) == 0);
+        res_access[i++] = !(isfinite(infinity) == 0);
+        res_access[i++] = !(isfinite(minus_infinity) == 0);
+
+        res_access[i++] = !(isinf(0.0f) == 0);
+        res_access[i++] = !(isinf(nan) == 0);
+        res_access[i++] = !(isinf(infinity) != 0);
+        res_access[i++] = !(isinf(minus_infinity) != 0);
+#else  // !_WIN32
+       // __builtin_isfinite is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+
+        // __builtin_isinf is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+#endif // !_WIN32
+        res_access[i++] = !(isnan(0.0f) == 0);
+        res_access[i++] = !(isnan(nan) != 0);
+        res_access[i++] = !(isnan(infinity) == 0);
+        res_access[i++] = !(isnan(minus_infinity) == 0);
+#ifdef _WIN32
+        res_access[i++] = !(isnormal(nan) == 0);
+        res_access[i++] = !(isnormal(minus_infinity) == 0);
+        res_access[i++] = !(isnormal(subnormal) == 0);
+        res_access[i++] = !(isnormal(1.0f) != 0);
+#else  // !_WIN32
+       // __builtin_isnormal() is unsupported.
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+        res_access[i++] = 0;
+#endif // !_WIN32
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < TEST_NUM; ++i) {
+    assert(approx_equal_fp(result[i], ref_val[i]));
+  }
+
+  // Test modf integral part
+  assert(approx_equal_fp(iptr, refIptr));
+
+  // Test remquo sign
+  assert(quo == 0);
+}
+
+int main() {
+  s::queue deviceQueue;
+  device_math_test(deviceQueue);
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/math_test_marray_vec.cpp b/sycl/test-e2e/DeviceLib/math_test_marray_vec.cpp
new file mode 100644
index 0000000000000..18dfc1ae00c86
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_test_marray_vec.cpp
@@ -0,0 +1,31 @@
+// TODO fix windows failures
+// UNSUPPORTED: windows && (level_zero || opencl)
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// tests sycl floating point math functions for sycl::vec and sycl::marray float
+// and double cases.
+
+#include "math_test_marray_vec_common.hpp"
+
+int main() {
+  queue deviceQueue;
+  math_tests_4<float4>(deviceQueue);
+  math_tests_4<marray<float, 4>>(deviceQueue);
+
+  math_tests_3<float3>(deviceQueue);
+  math_tests_3<marray<float, 3>>(deviceQueue);
+
+  if (deviceQueue.get_device().has(sycl::aspect::fp64)) {
+    math_tests_4<double4>(deviceQueue);
+    math_tests_4<marray<double, 4>>(deviceQueue);
+
+    math_tests_3<double3>(deviceQueue);
+    math_tests_3<marray<double, 3>>(deviceQueue);
+  }
+
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/math_test_marray_vec_common.hpp b/sycl/test-e2e/DeviceLib/math_test_marray_vec_common.hpp
new file mode 100644
index 0000000000000..1c10543f68d41
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_test_marray_vec_common.hpp
@@ -0,0 +1,250 @@
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T1, typename T2> class TypeHelper;
+
+template <typename T> bool checkEqual(vec<T, 3> A, size_t B) {
+  T TB = B;
+  return A.x() == TB && A.y() == TB && A.z() == TB;
+}
+
+template <typename T> bool checkEqual(vec<T, 4> A, size_t B) {
+  T TB = B;
+  return A.x() == TB && A.y() == TB && A.z() == TB && A.w() == TB;
+}
+
+template <typename T, size_t N> bool checkEqual(marray<T, N> A, size_t B) {
+  for (int i = 0; i < N; i++) {
+    if (A[i] != B) {
+      return false;
+    }
+  }
+  return true;
+}
+
+#define OPERATOR(NAME)                                                         \
+  template <typename T>                                                        \
+  void math_test_##NAME(queue &deviceQueue, T result, T input, size_t ref) {   \
+    {                                                                          \
+      buffer<T, 1> buffer1(&result, 1);                                        \
+      buffer<T, 1> buffer2(&input, 1);                                         \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor<T, 1, access::mode::write, target::device> res_access(        \
+            buffer1, cgh);                                                     \
+        accessor<T, 1, access::mode::read, target::device> input_access(       \
+            buffer2, cgh);                                                     \
+        cgh.single_task<TypeHelper<class a##NAME, T>>(                         \
+            [=]() { res_access[0] = NAME(input_access[0]); });                 \
+      });                                                                      \
+    }                                                                          \
+    assert(checkEqual(result, ref));                                           \
+  }
+
+OPERATOR(cos)
+OPERATOR(cospi)
+OPERATOR(sin)
+OPERATOR(sinpi)
+OPERATOR(cosh)
+OPERATOR(sinh)
+OPERATOR(tan)
+OPERATOR(tanpi)
+OPERATOR(atan)
+OPERATOR(atanpi)
+OPERATOR(tanh)
+OPERATOR(acos)
+OPERATOR(acospi)
+OPERATOR(asin)
+OPERATOR(asinpi)
+OPERATOR(acosh)
+OPERATOR(asinh)
+OPERATOR(atanh)
+OPERATOR(cbrt)
+OPERATOR(ceil)
+OPERATOR(exp)
+OPERATOR(exp2)
+OPERATOR(exp10)
+OPERATOR(expm1)
+OPERATOR(tgamma)
+OPERATOR(lgamma)
+OPERATOR(erf)
+OPERATOR(erfc)
+OPERATOR(log)
+OPERATOR(log2)
+OPERATOR(log10)
+OPERATOR(log1p)
+OPERATOR(logb)
+OPERATOR(sqrt)
+OPERATOR(rsqrt)
+OPERATOR(rint)
+OPERATOR(round)
+OPERATOR(trunc)
+
+#undef OPERATOR
+
+#define OPERATOR_2(NAME)                                                       \
+  template <typename T>                                                        \
+  void math_test_2_##NAME(queue &deviceQueue, T result, T input1, T input2,    \
+                          size_t ref) {                                        \
+    {                                                                          \
+      buffer<T, 1> buffer1(&result, 1);                                        \
+      buffer<T, 1> buffer2(&input1, 1);                                        \
+      buffer<T, 1> buffer3(&input2, 1);                                        \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor<T, 1, access::mode::write, target::device> res_access(        \
+            buffer1, cgh);                                                     \
+        accessor<T, 1, access::mode::read, target::device> input1_access(      \
+            buffer2, cgh);                                                     \
+        accessor<T, 1, access::mode::read, target::device> input2_access(      \
+            buffer3, cgh);                                                     \
+        cgh.single_task<TypeHelper<class a##NAME, T>>([=]() {                  \
+          res_access[0] = NAME(input1_access[0], input2_access[0]);            \
+        });                                                                    \
+      });                                                                      \
+    }                                                                          \
+    assert(checkEqual(result, ref));                                           \
+  }
+
+OPERATOR_2(pow)
+OPERATOR_2(powr)
+OPERATOR_2(atan2)
+OPERATOR_2(atan2pi)
+OPERATOR_2(copysign)
+OPERATOR_2(fdim)
+OPERATOR_2(fmin)
+OPERATOR_2(fmax)
+OPERATOR_2(fmod)
+OPERATOR_2(hypot)
+OPERATOR_2(maxmag)
+OPERATOR_2(minmag)
+OPERATOR_2(nextafter)
+OPERATOR_2(remainder)
+
+#undef OPERATOR_2
+
+#define OPERATOR_3(NAME)                                                       \
+  template <typename T>                                                        \
+  void math_test_3_##NAME(queue &deviceQueue, T result, T input1, T input2,    \
+                          T input3, size_t ref) {                              \
+    {                                                                          \
+      buffer<T, 1> buffer1(&result, 1);                                        \
+      buffer<T, 1> buffer2(&input1, 1);                                        \
+      buffer<T, 1> buffer3(&input2, 1);                                        \
+      buffer<T, 1> buffer4(&input3, 1);                                        \
+      deviceQueue.submit([&](handler &cgh) {                                   \
+        accessor<T, 1, access::mode::write, target::device> res_access(        \
+            buffer1, cgh);                                                     \
+        accessor<T, 1, access::mode::read, target::device> input1_access(      \
+            buffer2, cgh);                                                     \
+        accessor<T, 1, access::mode::read, target::device> input2_access(      \
+            buffer3, cgh);                                                     \
+        accessor<T, 1, access::mode::read, target::device> input3_access(      \
+            buffer4, cgh);                                                     \
+        cgh.single_task<TypeHelper<class a##NAME, T>>([=]() {                  \
+          res_access[0] =                                                      \
+              NAME(input1_access[0], input2_access[0], input3_access[0]);      \
+        });                                                                    \
+      });                                                                      \
+    }                                                                          \
+    assert(checkEqual(result, ref));                                           \
+  }
+
+OPERATOR_3(mad)
+OPERATOR_3(mix)
+OPERATOR_3(fma)
+
+#undef OPERATOR_3
+
+template <typename T> void math_tests_4(queue &deviceQueue) {
+  math_test_tanh(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_cosh(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 1);
+  math_test_sinh(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_acos(deviceQueue, T{-1, -1, -1, -1}, T{1, 1, 1, 1}, 0);
+  math_test_acospi(deviceQueue, T{-1, -1, -1, -1}, T{1, 1, 1, 1}, 0);
+  math_test_acosh(deviceQueue, T{-1, -1, -1, -1}, T{1, 1, 1, 1}, 0);
+  math_test_asin(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_asinpi(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_asinh(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_cbrt(deviceQueue, T{-1, -1, -1, -1}, T{1, 1, 1, 1}, 1);
+  math_test_atan(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_atanpi(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_atanh(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_exp(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 1);
+  math_test_exp2(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, 4);
+  math_test_exp10(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, 100);
+  math_test_expm1(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_ceil(deviceQueue, T{-1, -1, -1, -1}, T{0.6, 0.6, 0.6, 0.6}, 1);
+  math_test_tgamma(deviceQueue, T{-1, -1, -1, -1}, T{1, 1, 1, 1}, 1);
+  math_test_lgamma(deviceQueue, T{-1, -1, -1, -1}, T{1, 1, 1, 1}, 0);
+  math_test_erf(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 0);
+  math_test_erfc(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0}, 1);
+  math_test_2_pow(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, T{2, 2, 2, 2},
+                  4);
+  math_test_2_powr(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, T{2, 2, 2, 2},
+                   4);
+  math_test_2_atan2(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0},
+                    T{2, 2, 2, 2}, 0);
+  math_test_2_atan2pi(deviceQueue, T{-1, -1, -1, -1}, T{0, 0, 0, 0},
+                      T{2, 2, 2, 2}, 0);
+  math_test_2_copysign(deviceQueue, T{-1, -1, -1, -1}, T{-3, -3, -3, -3},
+                       T{2, 2, 2, 2}, 3);
+  math_test_2_fmin(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, T{3, 3, 3, 3},
+                   2);
+  math_test_2_fmax(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, T{3, 3, 3, 3},
+                   3);
+  math_test_2_hypot(deviceQueue, T{-1, -1, -1, -1}, T{4, 4, 4, 4},
+                    T{3, 3, 3, 3}, 5);
+  math_test_2_maxmag(deviceQueue, T{-1, -1, -1, -1}, T{-2, -2, -2, -2},
+                     T{3, 3, 3, 3}, 3);
+  math_test_2_minmag(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2},
+                     T{-3, -3, -3, -3}, 2);
+  math_test_2_remainder(deviceQueue, T{-1, -1, -1, -1}, T{5, 5, 5, 5},
+                        T{2, 2, 2, 2}, 1);
+  math_test_2_fdim(deviceQueue, T{-1, -1, -1, -1}, T{3, 3, 3, 3}, T{3, 3, 3, 3},
+                   0);
+  math_test_2_fmod(deviceQueue, T{-1, -1, -1, -1}, T{5, 5, 5, 5}, T{3, 3, 3, 3},
+                   2);
+  math_test_2_nextafter(deviceQueue, T{-1, -1, -1, -1}, T{-0, -0, -0, -0},
+                        T{+0, +0, +0, +0}, 0);
+  math_test_3_fma(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, T{2, 2, 2, 2},
+                  T{1, 1, 1, 1}, 5);
+  math_test_3_mad(deviceQueue, T{-1, -1, -1, -1}, T{2, 2, 2, 2}, T{2, 2, 2, 2},
+                  T{1, 1, 1, 1}, 5);
+  math_test_3_mix(deviceQueue, T{-1, -1, -1, -1}, T{3, 3, 3, 3}, T{5, 5, 5, 5},
+                  T{0.5, 0.5, 0.5, 0.5}, 4);
+}
+
+template <typename T> void math_tests_3(queue &deviceQueue) {
+  math_test_tan(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_tanh(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_cos(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 1);
+  math_test_sin(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_cosh(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 1);
+  math_test_sinh(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_acos(deviceQueue, T{-1, -1, -1}, T{1, 1, 1}, 0);
+  math_test_acosh(deviceQueue, T{-1, -1, -1}, T{1, 1, 1}, 0);
+  math_test_asin(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_asinh(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_cbrt(deviceQueue, T{-1, -1, -1}, T{1, 1, 1}, 1);
+  math_test_atan(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_atanh(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_exp(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 1);
+  math_test_exp2(deviceQueue, T{-1, -1, -1}, T{2, 2, 2}, 4);
+  math_test_exp10(deviceQueue, T{-1, -1, -1}, T{2, 2, 2}, 100);
+  math_test_expm1(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_ceil(deviceQueue, T{-1, -1, -1}, T{0.6, 0.6, 0.6}, 1);
+  math_test_tgamma(deviceQueue, T{-1, -1, -1}, T{1, 1, 1}, 1);
+  math_test_lgamma(deviceQueue, T{-1, -1, -1}, T{1, 1, 1}, 0);
+  math_test_erf(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_erfc(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 1);
+  math_test_log(deviceQueue, T{-1, -1, -1}, T{1, 1, 1}, 0);
+  math_test_log2(deviceQueue, T{-1, -1, -1}, T{4, 4, 4}, 2);
+  math_test_log10(deviceQueue, T{-1, -1, -1}, T{100, 100, 100}, 2);
+  math_test_log1p(deviceQueue, T{-1, -1, -1}, T{0, 0, 0}, 0);
+  math_test_logb(deviceQueue, T{-1, -1, -1}, T{1.1, 1.1, 1.1}, 0);
+  math_test_sqrt(deviceQueue, T{-1, -1, -1}, T{4, 4, 4}, 2);
+  math_test_rsqrt(deviceQueue, T{-1, -1, -1}, T{0.25, 0.25, 0.25}, 2);
+  math_test_rint(deviceQueue, T{-1, -1, -1}, T{2.9, 2.9, 2.9}, 3);
+  math_test_round(deviceQueue, T{-1, -1, -1}, T{0.5, 0.5, 0.5}, 1);
+  math_test_trunc(deviceQueue, T{-1, -1, -1}, T{1.9, 1.9, 1.9}, 1);
+}
diff --git a/sycl/test-e2e/DeviceLib/math_test_marray_vec_fp16.cpp b/sycl/test-e2e/DeviceLib/math_test_marray_vec_fp16.cpp
new file mode 100644
index 0000000000000..7db7350ece12f
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_test_marray_vec_fp16.cpp
@@ -0,0 +1,26 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// tests sycl floating point math functions for sycl::vec and sycl::marray fp16
+// cases.
+
+#include "math_test_marray_vec_common.hpp"
+
+int main() {
+  queue deviceQueue;
+
+  if (!deviceQueue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "skipping fp16 tests: requires fp16 device aspect."
+              << std::endl;
+    return 0;
+  }
+  math_tests_4<half4>(deviceQueue);
+  math_tests_4<marray<half, 4>>(deviceQueue);
+  math_tests_3<half3>(deviceQueue);
+  math_tests_3<marray<half, 3>>(deviceQueue);
+
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/math_utils.hpp b/sycl/test-e2e/DeviceLib/math_utils.hpp
new file mode 100644
index 0000000000000..e42bd13b47cdd
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_utils.hpp
@@ -0,0 +1,33 @@
+#ifndef MATH_UTILS
+#include <cmath>
+#include <limits>
+// _USE_MATH_DEFINES must be defined in order to use math constants in MSVC
+#ifdef _WIN32
+#define _USE_MATH_DEFINES 1
+#include <math.h>
+#endif
+
+// Since it is not proper to compare float point using operator ==, this
+// function measures whether the result of cmath function from kernel is
+// close to the reference and machine epsilon is used as threshold in this
+// function. T must be float-point type.
+template <typename T> bool approx_equal_fp(T x, T y) {
+
+  // At least one input is nan
+  if (std::isnan(x) || std::isnan(y))
+    return std::isnan(x) && std::isnan(y);
+
+  // At least one input is inf
+  if (std::isinf(x) || std::isinf(y))
+    return (x == y);
+
+  // two finite
+  T threshold = std::numeric_limits<T>::epsilon() * 100;
+  if (x != 0 && y != 0) {
+    T max_v = std::fmax(std::abs(x), std::abs(y));
+    return std::abs(x - y) < threshold * max_v;
+  }
+  return x != 0 ? std::abs(x) < threshold : std::abs(y) < threshold;
+}
+
+#endif
diff --git a/sycl/test-e2e/DeviceLib/math_windows_test.cpp b/sycl/test-e2e/DeviceLib/math_windows_test.cpp
new file mode 100644
index 0000000000000..0f0a5449153e5
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/math_windows_test.cpp
@@ -0,0 +1,121 @@
+// UNSUPPORTED: windows
+// Disabled on windows due to bug VS 2019 missing math builtins
+
+// REQUIRES: (accelerator || cpu) && windows
+// RUN: %clangxx -fsycl -c %s -o %t.o
+// RUN: %clangxx -fsycl %t.o %sycl_libs_dir/../bin/libsycl-cmath.o -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+#include "math_utils.hpp"
+#include <iostream>
+#include <math.h>
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+#define TEST_NUM 39
+
+float ref_val[TEST_NUM] = {1, 0, 0, 0, 0, 0, 0,   1,   1,   0.5, 0, 0, 1,
+                           0, 2, 0, 0, 0, 0, 0,   1,   0,   1,   2, 0, 1,
+                           2, 5, 0, 0, 0, 0, 0.5, 0.5, NAN, NAN, 1, 2, 0};
+
+float refIptr = 1;
+
+void device_math_test(s::queue &deviceQueue) {
+  s::range<1> numOfItems{TEST_NUM};
+  float result[TEST_NUM] = {-1};
+
+  // Variable iptr stores the integral part of float point in modf function
+  float iptr = -1;
+
+  // Variable quo stores the sign and some bits of x/y in remquo function
+  int quo = -1;
+
+  // Varaible enm stores the enum value retured by MSVC function
+  short enm[2] = {10, 10};
+
+  {
+    s::buffer<float, 1> buffer1(result, numOfItems);
+    s::buffer<float, 1> buffer2(&iptr, s::range<1>{1});
+    s::buffer<int, 1> buffer3(&quo, s::range<1>{1});
+    s::buffer<short, 1> buffer4(enm, s::range<1>{2});
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto res_access = buffer1.template get_access<sycl_write>(cgh);
+      auto iptr_access = buffer2.template get_access<sycl_write>(cgh);
+      auto quo_access = buffer3.template get_access<sycl_write>(cgh);
+      auto enm_access = buffer4.template get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceMathTest>([=]() {
+        int i = 0;
+        res_access[i++] = cosf(0.0f);
+        res_access[i++] = sinf(0.0f);
+        res_access[i++] = logf(1.0f);
+        res_access[i++] = acosf(1.0f);
+        res_access[i++] = asinf(0.0f);
+        res_access[i++] = atanf(0.0f);
+        res_access[i++] = atan2f(0.0f, 1.0f);
+        res_access[i++] = coshf(0.0f);
+        res_access[i++] = expf(0.0f);
+        res_access[i++] = fmodf(1.5f, 1.0f);
+        res_access[i++] = log10f(1.0f);
+        res_access[i++] = modff(1.0f, &iptr_access[0]);
+        res_access[i++] = powf(1.0f, 1.0f);
+        res_access[i++] = sinhf(0.0f);
+        res_access[i++] = sqrtf(4.0f);
+        res_access[i++] = tanf(0.0f);
+        res_access[i++] = tanhf(0.0f);
+        res_access[i++] = acoshf(1.0f);
+        res_access[i++] = asinhf(0.0f);
+        res_access[i++] = atanhf(0.0f);
+        res_access[i++] = cbrtf(1.0f);
+        res_access[i++] = erff(0.0f);
+        res_access[i++] = erfcf(0.0f);
+        res_access[i++] = exp2f(1.0f);
+        res_access[i++] = expm1f(0.0f);
+        res_access[i++] = fdimf(1.0f, 0.0f);
+        res_access[i++] = fmaf(1.0f, 1.0f, 1.0f);
+        res_access[i++] = hypotf(3.0f, 4.0f);
+        res_access[i++] = ilogbf(1.0f);
+        res_access[i++] = log1pf(0.0f);
+        res_access[i++] = log2f(1.0f);
+        res_access[i++] = logbf(1.0f);
+        res_access[i++] = remainderf(0.5f, 1.0f);
+        res_access[i++] = remquof(0.5f, 1.0f, &quo_access[0]);
+        float a = NAN;
+        res_access[i++] = tgammaf(a);
+        res_access[i++] = lgammaf(a);
+        enm_access[0] = _FDtest(&a);
+        a = 0.0f;
+        enm_access[1] = _FExp(&a, 1.0f, 0);
+        res_access[i++] = a;
+        res_access[i++] = _FCosh(0.0f, 2.0f);
+        res_access[i++] = _FSinh(0.0f, 1.0f);
+      });
+    });
+  }
+
+  // Compare result with reference
+  for (int i = 0; i < TEST_NUM; ++i) {
+    assert(approx_equal_fp(result[i], ref_val[i]));
+  }
+
+  // Test modf integral part
+  assert(approx_equal_fp(iptr, refIptr));
+
+  // Test remquo sign
+  assert(quo == 0);
+
+  // Test enum value returned by _FDtest
+  assert(enm[0] == _NANCODE);
+
+  // Test enum value returned by _FExp
+  assert(enm[1] == _FINITE);
+}
+
+int main() {
+  s::queue deviceQueue;
+  device_math_test(deviceQueue);
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DeviceLib/separate_compile_test.cpp b/sycl/test-e2e/DeviceLib/separate_compile_test.cpp
new file mode 100644
index 0000000000000..a1b120e1f264b
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/separate_compile_test.cpp
@@ -0,0 +1,15 @@
+// RUN: %clangxx -fsycl -fsycl-link %S/std_complex_math_test.cpp -o %t_device.o
+// RUN: %clangxx -fsycl-device-only -Xclang -fsycl-int-header=std_complex_math_test_ihdr.h %S/std_complex_math_test.cpp -Wno-sycl-strict
+// >> host compilation...
+// RUN: %clangxx %cxx_std_optionc++17 %include_option std_complex_math_test_ihdr.h -c %S/std_complex_math_test.cpp -o %t_host.o %sycl_options -Wno-sycl-strict
+// RUN: %clangxx %t_host.o %t_device.o -o %t.out %sycl_options
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-link  %S/std_complex_math_fp64_test.cpp -o %t_fp64_device.o
+// RUN: %clangxx -fsycl-device-only -Xclang -fsycl-int-header=std_complex_math_fp64_test_ihdr.h %S/std_complex_math_fp64_test.cpp -Wno-sycl-strict
+// >> host compilation...
+// RUN: %clangxx %cxx_std_optionc++17 %include_option std_complex_math_fp64_test_ihdr.h -c %S/std_complex_math_fp64_test.cpp -o %t_fp64_host.o %sycl_options -Wno-sycl-strict
+// RUN: %clangxx %t_fp64_host.o %t_fp64_device.o -o %t_fp64.out %sycl_options
+// RUN: %CPU_RUN_PLACEHOLDER %t_fp64.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_fp64.out
diff --git a/sycl/test-e2e/DeviceLib/std_complex_math_fp64_test.cpp b/sycl/test-e2e/DeviceLib/std_complex_math_fp64_test.cpp
new file mode 100644
index 0000000000000..4080d3aa1860f
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/std_complex_math_fp64_test.cpp
@@ -0,0 +1,205 @@
+// RUN: %clangxx -fsycl  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <array>
+#include <cassert>
+#include <complex>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include "math_utils.hpp"
+
+using std::complex;
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+template <typename T> bool approx_equal_cmplx(complex<T> x, complex<T> y) {
+  return approx_equal_fp(x.real(), y.real()) &&
+         approx_equal_fp(x.imag(), y.imag());
+}
+
+static constexpr auto TestArraySize1 = 57;
+static constexpr auto TestArraySize2 = 10;
+
+std::array<complex<double>, TestArraySize1> ref1_results = {
+    complex<double>(-1., 1.),
+    complex<double>(1., 3.),
+    complex<double>(-2., 10.),
+    complex<double>(-8., 31.),
+    complex<double>(1., 1.),
+    complex<double>(2., 1.),
+    complex<double>(2., 2.),
+    complex<double>(3., 4.),
+    complex<double>(2., 1.),
+    complex<double>(0., 1.),
+    complex<double>(2., 0.),
+    complex<double>(0., 0.),
+    complex<double>(0., 1.),
+    complex<double>(1., 1.),
+    complex<double>(2., 0.),
+    complex<double>(2., 3.),
+    complex<double>(1., 0.),
+    complex<double>(0., 1.),
+    complex<double>(-1., 0.),
+    complex<double>(0., M_E),
+    complex<double>(0., 0.),
+    complex<double>(0., M_PI_2),
+    complex<double>(0., M_PI),
+    complex<double>(1., M_PI_2),
+    complex<double>(0., 0.),
+    complex<double>(1., 0.),
+    complex<double>(1., 0.),
+    complex<double>(-1., 0.),
+    complex<double>(-INFINITY, 0.),
+    complex<double>(1., 0.),
+    complex<double>(10., 0.),
+    complex<double>(100., 0.),
+    complex<double>(200., 0.),
+    complex<double>(1., 2.),
+    complex<double>(INFINITY, 0.),
+    complex<double>(INFINITY, 0.),
+    complex<double>(0., 1.),
+    complex<double>(M_PI_2, 0.),
+    complex<double>(0., 0.),
+    complex<double>(1., 0.),
+    complex<double>(INFINITY, 0.),
+    complex<double>(0., 0.),
+    complex<double>(1., 0.),
+    complex<double>(0., 0.),
+    complex<double>(INFINITY, M_PI_2),
+    complex<double>(INFINITY, 0.),
+    complex<double>(0., M_PI_2),
+    complex<double>(INFINITY, M_PI_2),
+    complex<double>(INFINITY, 0.),
+    complex<double>(0., 0.),
+    complex<double>(0., M_PI_2),
+
+    complex<double>(1., -4.),
+    complex<double>(18., -7.),
+    complex<double>(1.557407724654902, 0.),
+    complex<double>(0, 0.761594155955765),
+    complex<double>(M_PI_2, 0.),
+    complex<double>(M_PI_2, 0.549306144334055)};
+
+std::array<double, TestArraySize2> ref2_results = {
+    0., 25., 169., INFINITY, 0., 5., 13., INFINITY, 0., M_PI_2};
+
+void device_complex_test(s::queue &deviceQueue) {
+  s::range<1> numOfItems1{TestArraySize1};
+  s::range<1> numOfItems2{TestArraySize2};
+  std::array<complex<double>, TestArraySize1> result1;
+  std::array<double, TestArraySize2> result2;
+  {
+    s::buffer<complex<double>, 1> buffer1(result1.data(), numOfItems1);
+    s::buffer<double, 1> buffer2(result2.data(), numOfItems2);
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto buf_out1_access = buffer1.get_access<sycl_write>(cgh);
+      auto buf_out2_access = buffer2.get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceComplexTest>([=]() {
+        int index = 0;
+        buf_out1_access[index++] =
+            complex<double>(0., 1.) * complex<double>(1., 1.);
+        buf_out1_access[index++] =
+            complex<double>(1., 1.) * complex<double>(2., 1.);
+        buf_out1_access[index++] =
+            complex<double>(2., 3.) * complex<double>(2., 2.);
+        buf_out1_access[index++] =
+            complex<double>(4., 5.) * complex<double>(3., 4.);
+        buf_out1_access[index++] =
+            complex<double>(-1., 1.) / complex<double>(0., 1.);
+        buf_out1_access[index++] =
+            complex<double>(1., 3.) / complex<double>(1., 1.);
+        buf_out1_access[index++] =
+            complex<double>(-2., 10.) / complex<double>(2., 3.);
+        buf_out1_access[index++] =
+            complex<double>(-8., 31.) / complex<double>(4., 5.);
+        buf_out1_access[index++] =
+            complex<double>(4., 2.) / complex<double>(2., 0.);
+        buf_out1_access[index++] =
+            complex<double>(-1., 0.) / complex<double>(0., 1.);
+        buf_out1_access[index++] =
+            complex<double>(0., 10.) / complex<double>(0., 5.);
+        buf_out1_access[index++] =
+            complex<double>(0., 0.) / complex<double>(1., 0.);
+        buf_out1_access[index++] = std::sqrt(complex<double>(-1., 0.));
+        buf_out1_access[index++] = std::sqrt(complex<double>(0., 2.));
+        buf_out1_access[index++] = std::sqrt(complex<double>(4., 0.));
+        buf_out1_access[index++] = std::sqrt(complex<double>(-5., 12.));
+        buf_out1_access[index++] = std::exp(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::exp(complex<double>(0., M_PI_2));
+        buf_out1_access[index++] = std::exp(complex<double>(0., M_PI));
+        buf_out1_access[index++] = std::exp(complex<double>(1., M_PI_2));
+        buf_out1_access[index++] = std::log(complex<double>(1., 0.));
+        buf_out1_access[index++] = std::log(complex<double>(0., 1.));
+        buf_out1_access[index++] = std::log(complex<double>(-1., 0.));
+        buf_out1_access[index++] = std::log(complex<double>(0., M_E));
+        buf_out1_access[index++] = std::sin(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::sin(complex<double>(M_PI_2, 0.));
+        buf_out1_access[index++] = std::cos(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::cos(complex<double>(M_PI, 0.));
+        buf_out1_access[index++] = std::log10(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::polar(1.);
+        buf_out1_access[index++] = std::polar(10., 0.);
+        buf_out1_access[index++] = std::polar(100.);
+        buf_out1_access[index++] = std::polar(200., 0.);
+        buf_out1_access[index++] = std::proj(complex<double>(1., 2.));
+        buf_out1_access[index++] = std::proj(complex<double>(INFINITY, -1.));
+        buf_out1_access[index++] = std::proj(complex<double>(0., -INFINITY));
+        buf_out1_access[index++] = std::pow(complex<double>(-1., 0.), 0.5);
+        buf_out1_access[index++] = std::acos(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::sinh(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::cosh(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::cosh(complex<double>(INFINITY, 0.));
+        buf_out1_access[index++] = std::tanh(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::tanh(complex<double>(INFINITY, 1.));
+        buf_out1_access[index++] = std::asinh(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::asinh(complex<double>(1., INFINITY));
+        buf_out1_access[index++] = std::asinh(complex<double>(INFINITY, 1.));
+        buf_out1_access[index++] = std::acosh(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::acosh(complex<double>(1., INFINITY));
+        buf_out1_access[index++] = std::acosh(complex<double>(INFINITY, 1.));
+        buf_out1_access[index++] = std::atanh(complex<double>(0., 0.));
+        buf_out1_access[index++] = std::atanh(complex<double>(1., INFINITY));
+        buf_out1_access[index++] = std::conj(complex<double>(1., 4.));
+        buf_out1_access[index++] = std::conj(complex<double>(18., 7.));
+        buf_out1_access[index++] = std::tan(complex<double>(1., 0.));
+        buf_out1_access[index++] = std::tan(complex<double>(0., 1.));
+        buf_out1_access[index++] = std::asin(complex<double>(1., 0.));
+        buf_out1_access[index++] = std::atan(complex<double>(0., 2.));
+
+        index = 0;
+        buf_out2_access[index++] = std::norm(complex<double>(0., 0.));
+        buf_out2_access[index++] = std::norm(complex<double>(3., 4.));
+        buf_out2_access[index++] = std::norm(complex<double>(12., 5.));
+        buf_out2_access[index++] = std::norm(complex<double>(INFINITY, 1.));
+        buf_out2_access[index++] = std::abs(complex<double>(0., 0.));
+        buf_out2_access[index++] = std::abs(complex<double>(3., 4.));
+        buf_out2_access[index++] = std::abs(complex<double>(12., 5.));
+        buf_out2_access[index++] = std::abs(complex<double>(INFINITY, 1.));
+        buf_out2_access[index++] = std::arg(complex<double>(1., 0.));
+        buf_out2_access[index++] = std::arg(complex<double>(0., 1.));
+      });
+    });
+  }
+
+  for (size_t idx = 0; idx < TestArraySize1; ++idx) {
+    assert(approx_equal_cmplx(result1[idx], ref1_results[idx]));
+  }
+  for (size_t idx = 0; idx < TestArraySize2; ++idx) {
+    assert(approx_equal_fp(result2[idx], ref2_results[idx]));
+  }
+}
+
+int main() {
+  s::queue deviceQueue;
+  if (deviceQueue.get_device().has(sycl::aspect::fp64)) {
+    device_complex_test(deviceQueue);
+    std::cout << "Pass" << std::endl;
+  }
+}
diff --git a/sycl/test-e2e/DeviceLib/std_complex_math_test.cpp b/sycl/test-e2e/DeviceLib/std_complex_math_test.cpp
new file mode 100644
index 0000000000000..5adcd2ef0ad9c
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/std_complex_math_test.cpp
@@ -0,0 +1,216 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <array>
+#include <cassert>
+#include <complex>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include "math_utils.hpp"
+
+using std::complex;
+namespace s = sycl;
+constexpr s::access::mode sycl_read = s::access::mode::read;
+constexpr s::access::mode sycl_write = s::access::mode::write;
+
+template <typename T> bool approx_equal_cmplx(complex<T> x, complex<T> y) {
+  return approx_equal_fp(x.real(), y.real()) &&
+         approx_equal_fp(x.imag(), y.imag());
+}
+
+static constexpr auto TestArraySize1 = 41;
+static constexpr auto TestArraySize2 = 10;
+static constexpr auto TestArraySize3 = 16;
+
+std::array<complex<float>, TestArraySize1> ref1_results = {
+    complex<float>(-1.f, 1.f),        complex<float>(1.f, 3.f),
+    complex<float>(-2.f, 10.f),       complex<float>(-8.f, 31.f),
+    complex<float>(1.f, 1.f),         complex<float>(2.f, 1.f),
+    complex<float>(2.f, 2.f),         complex<float>(3.f, 4.f),
+    complex<float>(2.f, 1.f),         complex<float>(0.f, 1.f),
+    complex<float>(2.f, 0.f),         complex<float>(0.f, 0.f),
+    complex<float>(1.f, 0.f),         complex<float>(0.f, 1.f),
+    complex<float>(-1.f, 0.f),        complex<float>(0.f, M_E),
+    complex<float>(0.f, 0.f),         complex<float>(0.f, M_PI_2),
+    complex<float>(0.f, M_PI),        complex<float>(1.f, M_PI_2),
+    complex<float>(0.f, 0.f),         complex<float>(1.f, 0.f),
+    complex<float>(1.f, 0.f),         complex<float>(-1.f, 0.f),
+    complex<float>(-INFINITY, 0.f),   complex<float>(1.f, 0.f),
+    complex<float>(10.f, 0.f),        complex<float>(100.f, 0.f),
+    complex<float>(200.f, 0.f),       complex<float>(1.f, 2.f),
+    complex<float>(INFINITY, 0.f),    complex<float>(INFINITY, 0.f),
+    complex<float>(0.f, 1.f),         complex<float>(0.f, 0.f),
+    complex<float>(1.f, 0.f),         complex<float>(INFINITY, 0.f),
+    complex<float>(0.f, 0.f),         complex<float>(0.f, M_PI_2),
+    complex<float>(1.f, -4.f),        complex<float>(18.f, -7.f),
+    complex<float>(M_PI_2, 0.549306f)};
+
+std::array<float, TestArraySize2> ref2_results = {
+    0.f, 25.f, 169.f, INFINITY, 0.f, 5.f, 13.f, INFINITY, 0.f, M_PI_2};
+
+std::array<complex<float>, TestArraySize3> ref3_results = {
+    complex<float>(0.f, 1.f),         complex<float>(1.f, 1.f),
+    complex<float>(2.f, 0.f),         complex<float>(2.f, 3.f),
+    complex<float>(M_PI_2, 0.f),      complex<float>(0.f, 0.f),
+    complex<float>(1.f, 0.f),         complex<float>(0.f, 0.f),
+    complex<float>(INFINITY, M_PI_2), complex<float>(INFINITY, 0.f),
+    complex<float>(0.f, M_PI_2),      complex<float>(INFINITY, M_PI_2),
+    complex<float>(INFINITY, 0.f),    complex<float>(1.557408f, 0.f),
+    complex<float>(0.f, 0.761594f),   complex<float>(M_PI_2, 0.f),
+
+};
+void device_complex_test_1(s::queue &deviceQueue) {
+  s::range<1> numOfItems1{TestArraySize1};
+  s::range<1> numOfItems2{TestArraySize2};
+  std::array<complex<float>, TestArraySize1> result1;
+  std::array<float, TestArraySize2> result2;
+  {
+    s::buffer<complex<float>, 1> buffer1(result1.data(), numOfItems1);
+    s::buffer<float, 1> buffer2(result2.data(), numOfItems2);
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto buf_out1_access = buffer1.get_access<sycl_write>(cgh);
+      auto buf_out2_access = buffer2.get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceComplexTest>([=]() {
+        int index = 0;
+        buf_out1_access[index++] =
+            complex<float>(0.f, 1.f) * complex<float>(1.f, 1.f);
+        buf_out1_access[index++] =
+            complex<float>(1.f, 1.f) * complex<float>(2.f, 1.f);
+        buf_out1_access[index++] =
+            complex<float>(2.f, 3.f) * complex<float>(2.f, 2.f);
+        buf_out1_access[index++] =
+            complex<float>(4.f, 5.f) * complex<float>(3.f, 4.f);
+        buf_out1_access[index++] =
+            complex<float>(-1.f, 1.f) / complex<float>(0.f, 1.f);
+        buf_out1_access[index++] =
+            complex<float>(1.f, 3.f) / complex<float>(1.f, 1.f);
+        buf_out1_access[index++] =
+            complex<float>(-2.f, 10.f) / complex<float>(2.f, 3.f);
+        buf_out1_access[index++] =
+            complex<float>(-8.f, 31.f) / complex<float>(4.f, 5.f);
+        buf_out1_access[index++] =
+            complex<float>(4.f, 2.f) / complex<float>(2.f, 0.f);
+        buf_out1_access[index++] =
+            complex<float>(-1.f, 0.f) / complex<float>(0.f, 1.f);
+        buf_out1_access[index++] =
+            complex<float>(0.f, 10.f) / complex<float>(0.f, 5.f);
+        buf_out1_access[index++] =
+            complex<float>(0.f, 0.f) / complex<float>(1.f, 0.f);
+        buf_out1_access[index++] = std::exp(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::exp(complex<float>(0.f, M_PI_2));
+        buf_out1_access[index++] = std::exp(complex<float>(0.f, M_PI));
+        buf_out1_access[index++] = std::exp(complex<float>(1.f, M_PI_2));
+        buf_out1_access[index++] = std::log(complex<float>(1.f, 0.f));
+        buf_out1_access[index++] = std::log(complex<float>(0.f, 1.f));
+        buf_out1_access[index++] = std::log(complex<float>(-1.f, 0.f));
+        buf_out1_access[index++] = std::log(complex<float>(0.f, M_E));
+        buf_out1_access[index++] = std::sin(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::sin(complex<float>(M_PI_2, 0.f));
+        buf_out1_access[index++] = std::cos(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::cos(complex<float>(M_PI, 0.f));
+        buf_out1_access[index++] = std::log10(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::polar(1.f);
+        buf_out1_access[index++] = std::polar(10.f, 0.f);
+        buf_out1_access[index++] = std::polar(100.f);
+        buf_out1_access[index++] = std::polar(200.f, 0.f);
+        buf_out1_access[index++] = std::proj(complex<float>(1.f, 2.f));
+        buf_out1_access[index++] = std::proj(complex<float>(INFINITY, -1.f));
+        buf_out1_access[index++] = std::proj(complex<float>(0.f, -INFINITY));
+        buf_out1_access[index++] = std::pow(complex<float>(-1.f, 0.f), 0.5f);
+        buf_out1_access[index++] = std::sinh(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::cosh(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::cosh(complex<float>(INFINITY, 0.f));
+        buf_out1_access[index++] = std::atanh(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::atanh(complex<float>(1.f, INFINITY));
+        buf_out1_access[index++] = std::conj(complex<float>(1.f, 4.f));
+        buf_out1_access[index++] = std::conj(complex<float>(18.f, 7.f));
+        buf_out1_access[index++] = std::atan(complex<float>(0.f, 2.f));
+
+        index = 0;
+        buf_out2_access[index++] = std::norm(complex<float>(0.f, 0.f));
+        buf_out2_access[index++] = std::norm(complex<float>(3.f, 4.f));
+        buf_out2_access[index++] = std::norm(complex<float>(12.f, 5.f));
+        buf_out2_access[index++] = std::norm(complex<float>(INFINITY, 1.f));
+        buf_out2_access[index++] = std::abs(complex<float>(0.f, 0.f));
+        buf_out2_access[index++] = std::abs(complex<float>(3.f, 4.f));
+        buf_out2_access[index++] = std::abs(complex<float>(12.f, 5.f));
+        buf_out2_access[index++] = std::abs(complex<float>(INFINITY, 1.f));
+        buf_out2_access[index++] = std::arg(complex<float>(1.f, 0.f));
+        buf_out2_access[index++] = std::arg(complex<float>(0.f, 1.f));
+      });
+    });
+  }
+
+  for (size_t idx = 0; idx < TestArraySize1; ++idx) {
+    assert(approx_equal_cmplx(result1[idx], ref1_results[idx]));
+  }
+  for (size_t idx = 0; idx < TestArraySize2; ++idx) {
+    assert(approx_equal_fp(result2[idx], ref2_results[idx]));
+  }
+}
+
+// The MSVC implementation of some complex<float> math functions depends on
+// some 'double' C math functions such as ldexp, those complex<float> math
+// functions can only work on Windows with fp64 extension support from
+// underlying device.
+#ifndef _WIN32
+void device_complex_test_2(s::queue &deviceQueue) {
+  s::range<1> numOfItems1{TestArraySize3};
+  std::array<complex<float>, TestArraySize3> result3;
+  {
+    s::buffer<complex<float>, 1> buffer1(result3.data(), numOfItems1);
+    deviceQueue.submit([&](s::handler &cgh) {
+      auto buf_out1_access = buffer1.get_access<sycl_write>(cgh);
+      cgh.single_task<class DeviceComplexTest2>([=]() {
+        int index = 0;
+        buf_out1_access[index++] = std::sqrt(complex<float>(-1.f, 0.f));
+        buf_out1_access[index++] = std::sqrt(complex<float>(0.f, 2.f));
+        buf_out1_access[index++] = std::sqrt(complex<float>(4.f, 0.f));
+        buf_out1_access[index++] = std::sqrt(complex<float>(-5.f, 12.f));
+        buf_out1_access[index++] = std::acos(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::tanh(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::tanh(complex<float>(INFINITY, 1.f));
+        buf_out1_access[index++] = std::asinh(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::asinh(complex<float>(1.f, INFINITY));
+        buf_out1_access[index++] = std::asinh(complex<float>(INFINITY, 1.f));
+        buf_out1_access[index++] = std::acosh(complex<float>(0.f, 0.f));
+        buf_out1_access[index++] = std::acosh(complex<float>(1.f, INFINITY));
+        buf_out1_access[index++] = std::acosh(complex<float>(INFINITY, 1.f));
+        buf_out1_access[index++] = std::tan(complex<float>(1.f, 0.f));
+        buf_out1_access[index++] = std::tan(complex<float>(0.f, 1.f));
+        buf_out1_access[index++] = std::asin(complex<float>(1.f, 0.f));
+      });
+    });
+  }
+
+  for (size_t idx = 0; idx < TestArraySize3; ++idx) {
+    assert(approx_equal_cmplx(result3[idx], ref3_results[idx]));
+  }
+}
+#endif
+int main() {
+  s::queue deviceQueue;
+
+#ifdef _WIN32
+  // std::complex math on Windows uses doubles internally so fp64 is required to
+  // run this test.
+  if (!deviceQueue.get_device().has(s::aspect::fp64)) {
+    std::cout << "Skipping test as device does not support fp64 which is "
+                 "required for math operations on std::complex on Windows."
+              << std::endl;
+    return 0;
+  }
+#endif
+
+  device_complex_test_1(deviceQueue);
+#ifndef _WIN32
+  device_complex_test_2(deviceQueue);
+#endif
+  std::cout << "Pass" << std::endl;
+}
diff --git a/sycl/test-e2e/DeviceLib/string_test.cpp b/sycl/test-e2e/DeviceLib/string_test.cpp
new file mode 100644
index 0000000000000..1cffcf3048ebd
--- /dev/null
+++ b/sycl/test-e2e/DeviceLib/string_test.cpp
@@ -0,0 +1,475 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fno-builtin %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fno-builtin -fsycl-device-lib-jit-link %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cassert>
+#include <cstdint>
+#include <cstring>
+#include <iostream>
+#include <sycl/sycl.hpp>
+enum USM_TEST_RES { USM_ALLOC_FAIL = -1, USM_TEST_PASS = 0, USM_TEST_FAIL = 1 };
+
+template <class DeviceMemcpyTest>
+void device_memcpy_invoke(sycl::queue &deviceQueue, uint8_t *dest,
+                          const uint8_t *src, size_t n) {
+  deviceQueue
+      .submit([&](sycl::handler &cgh) {
+        cgh.single_task<DeviceMemcpyTest>([=]() { memcpy(dest, src, n); });
+      })
+      .wait();
+}
+
+class KernelTestMemcpy;
+bool kernel_test_memcpy(sycl::queue &deviceQueue) {
+  bool success = true;
+  char src[20] = "abcdefg012345xyzvvv";
+  char dst[20] = {
+      0,
+  };
+  {
+    sycl::buffer<char, 1> buffer1(src, sycl::range<1>(20));
+    sycl::buffer<char, 1> buffer2(dst, sycl::range<1>(20));
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto dst_acc = buffer2.get_access<sycl::access::mode::write>(cgh);
+      auto src_acc = buffer1.get_access<sycl::access::mode::read>(cgh);
+      cgh.single_task<class KernelTestMemcpy>(
+          [=]() { memcpy(dst_acc.get_pointer(), src_acc.get_pointer(), 20); });
+    });
+  }
+
+  for (size_t idx = 0; idx < 20; ++idx) {
+    if (dst[idx] != src[idx]) {
+      success = false;
+      break;
+    }
+  }
+
+  return success;
+}
+
+class KernelTestMemcpyInit;
+class KernelTestMemcpyUSM0;
+class KernelTestMemcpyUSM1;
+class KernelTestMemcpyUSM2;
+class KernelTestMemcpyUSM3;
+class KernelTestMemcpyUSM4;
+USM_TEST_RES kernel_test_memcpy_usm(sycl::queue &deviceQueue) {
+  sycl::device dev = deviceQueue.get_device();
+  sycl::context ctxt = deviceQueue.get_context();
+  uint8_t *usm_shared_dest =
+      (uint8_t *)sycl::aligned_alloc_shared(alignof(uint32_t), 32, dev, ctxt);
+  uint8_t *usm_shared_src =
+      (uint8_t *)sycl::aligned_alloc_shared(alignof(uint32_t), 32, dev, ctxt);
+  if (usm_shared_dest == nullptr || usm_shared_src == nullptr)
+    return USM_ALLOC_FAIL;
+  // Init src usm memory
+  char *host_init_str = "abcdefghijklmnopqrstuvwxyz";
+  size_t str_len = strlen(host_init_str);
+  deviceQueue
+      .submit([&](sycl::handler &cgh) {
+        cgh.single_task<class KernelTestMemcpyInit>([=]() {
+          char c = 'a';
+          for (size_t idx = 0; idx < 32; ++idx)
+            usm_shared_src[idx] = c++;
+        });
+      })
+      .wait();
+  int usm_memcheck_pass = 0;
+  // Memcpy 3 bytest from aligned src to aligned dest
+  device_memcpy_invoke<KernelTestMemcpyUSM0>(deviceQueue, usm_shared_dest,
+                                             usm_shared_src, 3);
+  usm_memcheck_pass = memcmp(usm_shared_dest, usm_shared_src, 3);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_src, ctxt);
+    sycl::free(usm_shared_dest, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  // Memcpy 15 bytest from aligned src to aligned dest
+  device_memcpy_invoke<KernelTestMemcpyUSM1>(deviceQueue, usm_shared_dest,
+                                             usm_shared_src, 15);
+  usm_memcheck_pass = memcmp(usm_shared_dest, usm_shared_src, 15);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_src, ctxt);
+    sycl::free(usm_shared_dest, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  deviceQueue
+      .submit([&](sycl::handler &cgh) { cgh.memset(usm_shared_dest, 0, 32); })
+      .wait();
+  // Memcpy 1 byte from unaligned src to unaligned dest;
+  device_memcpy_invoke<KernelTestMemcpyUSM2>(deviceQueue, usm_shared_dest + 1,
+                                             usm_shared_src + 1, 1);
+  usm_memcheck_pass = memcmp(usm_shared_dest + 1, usm_shared_src + 1, 1);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_src, ctxt);
+    sycl::free(usm_shared_dest, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  // Memcpy 12 bytes from unaligned src to unalinged dest;
+  device_memcpy_invoke<KernelTestMemcpyUSM3>(deviceQueue, usm_shared_dest + 3,
+                                             usm_shared_src + 3, 12);
+  usm_memcheck_pass = memcmp(usm_shared_dest + 3, usm_shared_src + 3, 12);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_src, ctxt);
+    sycl::free(usm_shared_dest, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  // Memcpy 7 bytes from unaligned src to unaligned dest
+  device_memcpy_invoke<KernelTestMemcpyUSM4>(deviceQueue, usm_shared_dest + 9,
+                                             usm_shared_src + 7, 7);
+  usm_memcheck_pass = memcmp(usm_shared_dest + 9, usm_shared_src + 7, 7);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_src, ctxt);
+    sycl::free(usm_shared_dest, ctxt);
+    return USM_TEST_FAIL;
+  }
+  sycl::free(usm_shared_src, ctxt);
+  sycl::free(usm_shared_dest, ctxt);
+  return USM_TEST_PASS;
+}
+
+template <class DeviceMemsetTest>
+void device_memset_invoke(sycl::queue &deviceQueue, uint8_t *dest, int c,
+                          size_t n) {
+  deviceQueue
+      .submit([&](sycl::handler &cgh) {
+        cgh.single_task<DeviceMemsetTest>([=]() { memset(dest, c, n); });
+      })
+      .wait();
+}
+
+class KernelTestMemset;
+bool kernel_test_memset(sycl::queue &deviceQueue) {
+  bool success = true;
+  unsigned char dst[20] = {
+      0,
+  };
+  {
+    sycl::buffer<unsigned char, 1> buffer1(dst, sycl::range<1>(20));
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto dst_acc = buffer1.get_access<sycl::access::mode::write>(cgh);
+      cgh.single_task<class KernelTestMemset>(
+          [=]() { memset(dst_acc.get_pointer(), 'P', 18); });
+    });
+  }
+
+  for (size_t idx = 0; idx < 18; ++idx) {
+    if (dst[idx] != 'P') {
+      success = false;
+      break;
+    }
+  }
+
+  if (dst[18] != 0 || dst[19] != 0)
+    success = false;
+
+  return success;
+}
+
+class KernelTestMemsetUSM0;
+class KernelTestMemsetUSM1;
+class KernelTestMemsetUSM2;
+class KernelTestMemsetUSM3;
+
+USM_TEST_RES kernel_test_memset_usm(sycl::queue &deviceQueue) {
+  sycl::device dev = deviceQueue.get_device();
+  sycl::context ctxt = deviceQueue.get_context();
+  uint8_t host_ref_buffer[32];
+  uint8_t *usm_shared_buffer =
+      (uint8_t *)sycl::aligned_alloc_shared(alignof(uint32_t), 32, dev, ctxt);
+  if (usm_shared_buffer == nullptr)
+    return USM_ALLOC_FAIL;
+
+  deviceQueue
+      .submit(
+          [&](sycl::handler &cgh) { cgh.memset(usm_shared_buffer, 0xFF, 32); })
+      .wait();
+
+  int usm_memcheck_pass = 0;
+  // memset 17 bytes on aligned address
+  device_memset_invoke<KernelTestMemsetUSM0>(deviceQueue, usm_shared_buffer,
+                                             0xEE, 17);
+  memset(host_ref_buffer, 0xFF, 32);
+  memset(host_ref_buffer, 0xEE, 17);
+  usm_memcheck_pass = memcmp(host_ref_buffer, usm_shared_buffer, 32);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_buffer, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  // memset 3 bytes on aligned address
+  device_memset_invoke<KernelTestMemsetUSM1>(deviceQueue, usm_shared_buffer,
+                                             0xCC, 3);
+  memset(host_ref_buffer, 0xCC, 3);
+  usm_memcheck_pass = memcmp(host_ref_buffer, usm_shared_buffer, 32);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_buffer, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  // memset 15 bytes on unaligned address
+  device_memset_invoke<KernelTestMemsetUSM2>(deviceQueue, usm_shared_buffer + 1,
+                                             0xAA, 21);
+  memset(host_ref_buffer + 1, 0xAA, 21);
+  usm_memcheck_pass = memcmp(host_ref_buffer, usm_shared_buffer, 32);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_buffer, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  // memset 2 bytes on unaligned address
+  device_memset_invoke<KernelTestMemsetUSM3>(deviceQueue,
+                                             usm_shared_buffer + 13, 0xBB, 2);
+  memset(host_ref_buffer + 13, 0xBB, 2);
+  usm_memcheck_pass = memcmp(host_ref_buffer, usm_shared_buffer, 32);
+  if (usm_memcheck_pass != 0) {
+    sycl::free(usm_shared_buffer, ctxt);
+    return USM_TEST_FAIL;
+  }
+
+  sycl::free(usm_shared_buffer, ctxt);
+  return USM_TEST_PASS;
+}
+
+class KernelTestMemcmp;
+bool kernel_test_memcmp(sycl::queue &deviceQueue) {
+  bool success = true;
+  int results[8] = {-1, -1, -1, -1, -1, -1, -1, -1};
+  int refer[8] = {0, 0, 0, 0, 1, 1, 0, -1};
+
+  const char str1[] = "a";
+  const char str2[] = "ab";
+  const char str3[] = "ab12";
+  const char str4[] = "ab123";
+  const char str5[] = "aB123";
+  const char str6[] = "udqw34";
+  const char str7[] = "asdfewkfmikewmfi";
+  const char str8[] = "asdfewkfnikewmfi";
+  {
+    sycl::buffer<int, 1> buffer1(results, sycl::range<1>(8));
+    sycl::buffer<char, 1> buffer_str1(str1, sycl::range<1>(sizeof(str1)));
+    sycl::buffer<char, 1> buffer_str2(str2, sycl::range<1>(sizeof(str2)));
+    sycl::buffer<char, 1> buffer_str3(str3, sycl::range<1>(sizeof(str3)));
+    sycl::buffer<char, 1> buffer_str4(str4, sycl::range<1>(sizeof(str4)));
+    sycl::buffer<char, 1> buffer_str5(str5, sycl::range<1>(sizeof(str5)));
+    sycl::buffer<char, 1> buffer_str6(str6, sycl::range<1>(sizeof(str6)));
+    sycl::buffer<char, 1> buffer_str7(str7, sycl::range<1>(sizeof(str7)));
+    sycl::buffer<char, 1> buffer_str8(str8, sycl::range<1>(sizeof(str8)));
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto results_acc = buffer1.get_access<sycl::access::mode::write>(cgh);
+      auto str1_acc = buffer_str1.get_access<sycl::access::mode::read>(cgh);
+      auto str2_acc = buffer_str2.get_access<sycl::access::mode::read>(cgh);
+      auto str3_acc = buffer_str3.get_access<sycl::access::mode::read>(cgh);
+      auto str4_acc = buffer_str4.get_access<sycl::access::mode::read>(cgh);
+      auto str5_acc = buffer_str5.get_access<sycl::access::mode::read>(cgh);
+      auto str6_acc = buffer_str6.get_access<sycl::access::mode::read>(cgh);
+      auto str7_acc = buffer_str7.get_access<sycl::access::mode::read>(cgh);
+      auto str8_acc = buffer_str8.get_access<sycl::access::mode::read>(cgh);
+      cgh.single_task<class KernelTestMemcmp>([=]() {
+        results_acc[0] =
+            memcmp(str1_acc.get_pointer(), str1_acc.get_pointer(), 1);
+        results_acc[1] =
+            memcmp(str2_acc.get_pointer(), str1_acc.get_pointer(), 1);
+        results_acc[2] =
+            memcmp(str3_acc.get_pointer(), str2_acc.get_pointer(), 2);
+        results_acc[3] =
+            memcmp(str3_acc.get_pointer(), str4_acc.get_pointer(), 4);
+        results_acc[4] =
+            memcmp(str4_acc.get_pointer(), str5_acc.get_pointer(), 2);
+        results_acc[5] =
+            memcmp(str6_acc.get_pointer(), str7_acc.get_pointer(), 6);
+        results_acc[6] =
+            memcmp(str5_acc.get_pointer(), str6_acc.get_pointer(), 0);
+        results_acc[7] = memcmp(str7_acc.get_pointer(), str8_acc.get_pointer(),
+                                sizeof(str7));
+      });
+    });
+  }
+
+  for (size_t idx = 0; idx < 8; ++idx) {
+    if ((results[idx] * refer[idx]) > 0 ||
+        ((results[idx] == 0) && (refer[idx] == 0))) {
+      continue;
+    } else {
+      success = false;
+      break;
+    }
+  }
+
+  return success;
+}
+
+class KernelTestMemcmpAlign;
+bool kernel_test_memcmp_align(sycl::queue &deviceQueue) {
+  bool success = true;
+  int cmps[16] = {
+      -1,
+  };
+  int refs[16] = {0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, -1, 0, -1, 1};
+  {
+    sycl::buffer<int, 1> cmp_buf(cmps, sycl::range<1>{16});
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto cmp_acc = cmp_buf.get_access<sycl::access::mode::write>(cgh);
+      cgh.single_task<class KernelTestMemcmpAlign>([=]() {
+        uint8_t s1_buf[32], s2_buf[32];
+        uint8_t *s1_ptr = &s1_buf[0];
+        uint8_t *s2_ptr = &s2_buf[0];
+        if (reinterpret_cast<unsigned long>(s1_ptr) % 4 ==
+            reinterpret_cast<unsigned long>(s2_ptr) % 4) {
+          s1_ptr += 1;
+          s2_ptr += 2;
+        }
+
+        s1_ptr[0] = s2_ptr[0] = 'a';
+        s1_ptr[1] = s2_ptr[1] = 'x';
+        s1_ptr[2] = s2_ptr[2] = 'f';
+        s1_ptr[3] = s2_ptr[3] = '1';
+        s1_ptr[4] = s2_ptr[4] = '9';
+        s1_ptr[5] = s2_ptr[5] = 'T';
+        cmp_acc[0] = memcmp(s1_ptr, s2_ptr, 0);
+        cmp_acc[1] = memcmp(s1_ptr, s2_ptr, 1);
+        cmp_acc[2] = memcmp(s1_ptr, s2_ptr, 2);
+        cmp_acc[3] = memcmp(s1_ptr, s2_ptr, 3);
+        cmp_acc[4] = memcmp(s1_ptr, s2_ptr, 4);
+        cmp_acc[5] = memcmp(s1_ptr, s2_ptr, 5);
+        cmp_acc[6] = memcmp(s1_ptr, s2_ptr, 6);
+        s1_ptr[6] = 'Y';
+        s2_ptr[6] = 'U';
+        s1_ptr[7] = s2_ptr[7] = '7';
+        s1_ptr[8] = 'b';
+        s2_ptr[8] = 'g';
+        cmp_acc[7] = memcmp(s1_ptr, s2_ptr, 7);
+        cmp_acc[8] = memcmp(s1_ptr, s2_ptr, 8);
+        cmp_acc[9] = memcmp(s1_ptr, s2_ptr, 9);
+        s1_ptr[6] = 'U';
+        cmp_acc[10] = memcmp(s1_ptr, s2_ptr, 7);
+        cmp_acc[11] = memcmp(s1_ptr, s2_ptr, 8);
+        cmp_acc[12] = memcmp(s1_ptr, s2_ptr, 9);
+        s1_ptr[8] = 'g';
+        s1_ptr[9] = s2_ptr[9] = 'j';
+        cmp_acc[13] = memcmp(s1_ptr, s2_ptr, 10);
+        s1_ptr[10] = '1';
+        s2_ptr[10] = '2';
+        cmp_acc[14] = memcmp(s1_ptr, s2_ptr, 11);
+        s1_ptr[5] = 'Z';
+        cmp_acc[15] = memcmp(s1_ptr, s2_ptr, 11);
+      });
+    });
+  }
+
+  for (size_t idx = 0; idx < 13; ++idx) {
+    if ((cmps[idx] == 0 && refs[idx] == 0) || (cmps[idx] * refs[idx] > 0)) {
+      continue;
+    } else {
+      success = false;
+      break;
+    }
+  }
+
+  return success;
+}
+
+class KernelTestMemcpyAddrSpace;
+
+bool kernel_test_memcpy_addr_space(sycl::queue &deviceQueue) {
+  char src[16] = "abcdefg";
+  char dst[16];
+  char dst1[16];
+  {
+    sycl::buffer<char, 1> buffer1(src, sycl::range<1>(16));
+    sycl::buffer<char, 1> buffer2(dst, sycl::range<1>(16));
+    sycl::buffer<char, 1> buffer3(dst1, sycl::range<1>(16));
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      sycl::accessor<char, 1, sycl::access::mode::read,
+                     sycl::access::target::constant_buffer,
+                     sycl::access::placeholder::false_t>
+          src_acc(buffer1, cgh);
+
+      sycl::local_accessor<char, 1> local_acc(sycl::range<1>(16), cgh);
+
+      sycl::accessor<char, 1, sycl::access::mode::write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::false_t>
+          dst_acc(buffer2, cgh);
+
+      sycl::accessor<char, 1, sycl::access::mode::write,
+                     sycl::access::target::device,
+                     sycl::access::placeholder::false_t>
+          dst1_acc(buffer3, cgh);
+      cgh.single_task<class KernelTestMemcpyAddrSpace>([=]() {
+        // memcpy from constant buffer to local buffer
+        memcpy(local_acc.get_pointer(), src_acc.get_pointer(), 8);
+        for (size_t idx = 0; idx < 7; ++idx)
+          local_acc[idx] += 1;
+        // memcpy from local buffer to global buffer
+        memcpy(dst_acc.get_pointer(), local_acc.get_pointer(), 8);
+        char device_buf[16];
+        // memcpy from constant buffer to private memory
+        memcpy(device_buf, src_acc.get_pointer(), 8);
+        for (size_t idx = 0; idx < 7; ++idx) {
+          device_buf[idx] += 2;
+          // memcpy from private to global buffer
+          memcpy(dst1_acc.get_pointer(), device_buf, 8);
+        }
+      });
+    });
+  }
+
+  if (strcmp("bcdefgh", dst) != 0)
+    return false;
+
+  if (strcmp("cdefghi", dst1) != 0)
+    return false;
+
+  return true;
+}
+int main() {
+  bool success = true;
+  sycl::queue deviceQueue;
+  sycl::device dev = deviceQueue.get_device();
+  bool shared_usm_enabled = false;
+  USM_TEST_RES usm_tres;
+  if (dev.get_info<sycl::info::device::usm_shared_allocations>())
+    shared_usm_enabled = true;
+  success = kernel_test_memcpy(deviceQueue);
+  if (shared_usm_enabled) {
+    usm_tres = kernel_test_memcpy_usm(deviceQueue);
+    if (usm_tres == USM_ALLOC_FAIL)
+      std::cout << "USM shared memory alloc failed, USM tests skipped"
+                << std::endl;
+    else if (usm_tres == USM_TEST_FAIL)
+      success = false;
+  }
+  assert(((void)"memcpy test failed!", success));
+  success = kernel_test_memset(deviceQueue);
+  if (shared_usm_enabled) {
+    usm_tres = kernel_test_memset_usm(deviceQueue);
+    if (usm_tres == USM_ALLOC_FAIL)
+      std::cout << "USM shared memory alloc failed, USM tests skipped"
+                << std::endl;
+    else if (usm_tres == USM_TEST_FAIL)
+      success = false;
+  }
+  assert(((void)"memset test failed!", success));
+
+  success = kernel_test_memcmp(deviceQueue);
+  assert(((void)"memcmp test failed!", success));
+
+  success = kernel_test_memcmp_align(deviceQueue);
+  assert(((void)"memcmp alignment test failed!", success));
+
+  success = kernel_test_memcpy_addr_space(deviceQueue);
+  assert(((void)"memcpy test with address space failed!", success));
+  std::cout << "passed!" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_accessors.cpp b/sycl/test-e2e/DiscardEvents/discard_events_accessors.cpp
new file mode 100644
index 0000000000000..ce3570e6ec6ce
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_accessors.cpp
@@ -0,0 +1,99 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out &> %t.txt || true
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// The test checks that the last parameter is `nullptr` for
+// piEnqueueKernelLaunch for USM kernel using local accessor, but
+// is not `nullptr` for kernel using buffer accessor.
+// {{0|0000000000000000}} is required for various output on Linux and Windows.
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: The test passed.
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+static constexpr int MAGIC_NUM = -1;
+static constexpr size_t BUFFER_SIZE = 16;
+
+void RunKernelHelper(sycl::queue Q,
+                     const std::function<void(int *Harray)> &TestFunction) {
+  int *Harray = sycl::malloc_host<int>(BUFFER_SIZE, Q);
+  assert(Harray != nullptr);
+  for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+    Harray[i] = MAGIC_NUM;
+  }
+
+  TestFunction(Harray);
+
+  // Checks result
+  for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+    size_t expected = i + 10;
+    assert(Harray[i] == expected);
+  }
+  free(Harray, Q);
+}
+
+int main(int Argc, const char *Argv[]) {
+
+  sycl::property_list props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Q(props);
+  sycl::range<1> Range(BUFFER_SIZE);
+
+  RunKernelHelper(Q, [&](int *Harray) {
+    Q.submit([&](sycl::handler &CGH) {
+      const size_t LocalMemSize = BUFFER_SIZE;
+      sycl::local_accessor<int, 1> LocalAcc(LocalMemSize, CGH);
+
+      CGH.parallel_for<class kernel_using_local_memory>(
+          Range, [=](sycl::item<1> itemID) {
+            size_t i = itemID.get_id(0);
+            int *Ptr = LocalAcc.get_pointer();
+            Ptr[i] = i + 5;
+            Harray[i] = Ptr[i] + 5;
+          });
+    });
+    Q.wait();
+  });
+
+  RunKernelHelper(Q, [&](int *Harray) {
+    sycl::buffer<int, 1> Buf(Range);
+    Q.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.parallel_for<class kernel_using_buffer_accessor>(
+          Range, [=](sycl::item<1> itemID) {
+            size_t i = itemID.get_id(0);
+            Harray[i] = i + 10;
+            Acc[i] = i + 20;
+          });
+    });
+    Q.wait();
+
+    // Checks result
+    auto HostAcc = Buf.get_access<sycl::access::mode::read>();
+    for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+      size_t expected = i + 20;
+      assert(HostAcc[i] == expected);
+    }
+  });
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_check_images.cpp b/sycl/test-e2e/DiscardEvents/discard_events_check_images.cpp
new file mode 100644
index 0000000000000..fc9c09de4d2d1
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_check_images.cpp
@@ -0,0 +1,194 @@
+// UNSUPPORTED: hip
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: %CPU_RUN_PLACEHOLDER %t.out image
+// RUN: %GPU_RUN_PLACEHOLDER %t.out image
+//
+// RUN: %CPU_RUN_PLACEHOLDER %t.out mixed
+// RUN: %GPU_RUN_PLACEHOLDER %t.out mixed
+//
+// Note that the tests use image functionality and if you have problems with
+// the tests, please check if they pass without the discard_events property, if
+// they don't pass then it's most likely a general issue unrelated to
+// discard_events.
+
+#include "../helpers.hpp" // for printableVec
+#include <CL/sycl.hpp>
+#include <cassert>
+#include <iostream>
+
+using namespace cl::sycl;
+static constexpr size_t BUFFER_SIZE = 1024;
+static constexpr int MAX_ITER_NUM1 = 10;
+static constexpr int MAX_ITER_NUM2 = 10;
+static constexpr int InitialVal = MAX_ITER_NUM1;
+
+void TestHelper(sycl::queue Q,
+                const std::function<void(sycl::range<2> ImgSize, int *Harray,
+                                         sycl::image<2> Img)> &Function) {
+  int *Harray = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(Harray != nullptr);
+  for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+    Harray[i] = 0;
+  }
+
+  const sycl::image_channel_order ChanOrder = sycl::image_channel_order::rgba;
+  const sycl::image_channel_type ChanType =
+      sycl::image_channel_type::signed_int32;
+
+  const sycl::range<2> ImgSize(sqrt(BUFFER_SIZE), sqrt(BUFFER_SIZE));
+  std::vector<sycl::int4> ImgHostData(
+      ImgSize.size(), {InitialVal, InitialVal, InitialVal, InitialVal});
+  sycl::image<2> Img(ImgHostData.data(), ChanOrder, ChanType, ImgSize);
+
+  Function(ImgSize, Harray, Img);
+
+  free(Harray, Q);
+}
+
+void IfTrueIncrementUSM(sycl::queue Q, sycl::range<1> Range, int *Harray,
+                        int ValueToCheck) {
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.parallel_for<class increment_usm>(Range, [=](sycl::item<1> itemID) {
+      size_t i = itemID.get_id(0);
+      if (Harray[i] == ValueToCheck) {
+        Harray[i] += 1;
+      }
+    });
+  });
+}
+
+void IfTrueIncrementImageAndUSM(sycl::queue Q, sycl::range<2> ImgSize,
+                                int *Harray, sycl::image<2> Img,
+                                int HarrayValueToCheck, int ImageValueToCheck) {
+  Q.submit([&](sycl::handler &CGH) {
+    auto Img1Acc = Img.get_access<sycl::int4, sycl::access::mode::read>(CGH);
+    auto Img2Acc = Img.get_access<sycl::int4, sycl::access::mode::write>(CGH);
+    CGH.parallel_for<class ImgCopy>(ImgSize, [=](sycl::item<2> Item) {
+      size_t i = Item.get_linear_id();
+      if (Harray[i] == HarrayValueToCheck) {
+        sycl::int4 Data = Img1Acc.read(sycl::int2{Item[0], Item[1]});
+        if (Data[0] == ImageValueToCheck && Data[1] == ImageValueToCheck &&
+            Data[2] == ImageValueToCheck && Data[3] == ImageValueToCheck) {
+          Data[0]++;
+          Data[3] = Data[2] = Data[1] = Data[0];
+          Img2Acc.write(sycl::int2{Item[0], Item[1]}, Data);
+        }
+        ++Harray[i];
+      }
+    });
+  });
+}
+
+void RunTest_ImageTest(sycl::queue Q) {
+  TestHelper(Q, [&](sycl::range<2> ImgSize, int *Harray, sycl::image<2> Img) {
+    sycl::range<1> Range(BUFFER_SIZE);
+    for (int i = 0; i < MAX_ITER_NUM1; ++i)
+      IfTrueIncrementUSM(Q, Range, Harray, (i));
+
+    for (int i = 0; i < MAX_ITER_NUM2; ++i)
+      IfTrueIncrementImageAndUSM(Q, ImgSize, Harray, Img, (MAX_ITER_NUM1 + i),
+                                 (InitialVal + i));
+    Q.wait();
+
+    // check results
+    for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+      int expected = MAX_ITER_NUM1 + MAX_ITER_NUM2;
+      assert(Harray[i] == expected);
+    }
+
+    {
+      auto HostAcc =
+          Img.template get_access<sycl::int4, sycl::access::mode::read>();
+      int expected = InitialVal + MAX_ITER_NUM2;
+      for (int X = 0; X < ImgSize[0]; ++X)
+        for (int Y = 0; Y < ImgSize[1]; ++Y) {
+          sycl::int4 Vec1 = cl::sycl::int4(expected);
+          sycl::int4 Vec2 = HostAcc.read(sycl::int2{X, Y});
+          if (Vec1[0] != Vec2[0] || Vec1[1] != Vec2[1] || Vec1[2] != Vec2[2] ||
+              Vec1[3] != Vec2[3]) {
+            std::cerr << "Failed" << std::endl;
+            std::cerr << "Element [ " << X << ", " << Y << " ]" << std::endl;
+            std::cerr << "Expected: " << printableVec(Vec1) << std::endl;
+            std::cerr << " Got    : " << printableVec(Vec2) << std::endl;
+            assert(false && "ImageTest failed!");
+          }
+        }
+    }
+  });
+}
+
+void RunTest_ImageTest_Mixed(sycl::queue Q) {
+  TestHelper(Q, [&](sycl::range<2> ImgSize, int *Harray, sycl::image<2> Img) {
+    sycl::range<1> Range(BUFFER_SIZE);
+
+    for (int i = 0; i < MAX_ITER_NUM1; ++i) {
+      IfTrueIncrementUSM(Q, Range, Harray, (i * 2));
+      IfTrueIncrementImageAndUSM(Q, ImgSize, Harray, Img, (i * 2 + 1),
+                                 (InitialVal + i));
+    }
+
+    for (int i = 0; i < MAX_ITER_NUM2; ++i) {
+      IfTrueIncrementImageAndUSM(Q, ImgSize, Harray, Img,
+                                 (MAX_ITER_NUM1 * 2 + i * 2),
+                                 (InitialVal + MAX_ITER_NUM1 + i));
+      IfTrueIncrementUSM(Q, Range, Harray, (MAX_ITER_NUM1 * 2 + i * 2 + 1));
+    }
+
+    Q.wait();
+
+    // check results
+    for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+      int expected = MAX_ITER_NUM1 * 2 + MAX_ITER_NUM2 * 2;
+      assert(Harray[i] == expected);
+    }
+
+    {
+      auto HostAcc =
+          Img.template get_access<sycl::int4, sycl::access::mode::read>();
+      int expected = InitialVal + MAX_ITER_NUM1 + MAX_ITER_NUM2;
+      for (int X = 0; X < ImgSize[0]; ++X)
+        for (int Y = 0; Y < ImgSize[1]; ++Y) {
+          sycl::int4 Vec1 = cl::sycl::int4(expected);
+          sycl::int4 Vec2 = HostAcc.read(sycl::int2{X, Y});
+          if (Vec1[0] != Vec2[0] || Vec1[1] != Vec2[1] || Vec1[2] != Vec2[2] ||
+              Vec1[3] != Vec2[3]) {
+            std::cerr << "Failed" << std::endl;
+            std::cerr << "Element [ " << X << ", " << Y << " ]" << std::endl;
+            std::cerr << "Expected: " << printableVec(Vec1) << std::endl;
+            std::cerr << " Got    : " << printableVec(Vec2) << std::endl;
+            assert(false && "ImageTest_Mixed failed!");
+          }
+        }
+    }
+  });
+}
+
+int main(int Argc, const char *Argv[]) {
+  assert(Argc == 2 && "Invalid number of arguments");
+  std::string TestType(Argv[1]);
+
+  sycl::property_list props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Q(props);
+
+  auto dev = Q.get_device();
+  if (dev.has(aspect::image)) {
+    if (TestType == "image") {
+      std::cerr << "RunTest_ImageTest" << std::endl;
+      RunTest_ImageTest(Q);
+    } else if (TestType == "mixed") {
+      std::cerr << "RunTest_ImageTest_Mixed" << std::endl;
+      RunTest_ImageTest_Mixed(Q);
+    } else {
+      assert(0 && "Unsupported test type!");
+    }
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_host_task.cpp b/sycl/test-e2e/DiscardEvents/discard_events_host_task.cpp
new file mode 100644
index 0000000000000..5aa47aa52e055
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_host_task.cpp
@@ -0,0 +1,57 @@
+// If necessary, the test can be removed as run_on_host_intel() is deprecated
+// and host_task() which should be used instead does not use the PI call
+// piEnqueueNativeKernel
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// The test checks that the last parameter is `nullptr` for
+// piEnqueueNativeKernel.
+// {{0|0000000000000000}} is required for various output on Linux and Windows.
+//
+// CHECK: ---> piEnqueueNativeKernel(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: The test passed.
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void CheckArray(sycl::queue Q, int *x, size_t buffer_size, int expected) {
+  Q.wait();
+  for (size_t i = 0; i < buffer_size; ++i)
+    assert(x[i] == expected);
+}
+
+static constexpr size_t BUFFER_SIZE = 16;
+
+int main(int Argc, const char *Argv[]) {
+
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Q(Props);
+
+  int *x = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(x != nullptr);
+
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.run_on_host_intel([=]() {
+      for (size_t i = 0; i < BUFFER_SIZE; ++i)
+        x[i] = 8;
+    });
+  });
+  CheckArray(Q, x, BUFFER_SIZE, 8);
+
+  Q.wait();
+  free(x, Q);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_kernel_using_assert.hpp b/sycl/test-e2e/DiscardEvents/discard_events_kernel_using_assert.hpp
new file mode 100644
index 0000000000000..fdcef43685422
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_kernel_using_assert.hpp
@@ -0,0 +1,45 @@
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+static constexpr int MAGIC_NUM = -1;
+static constexpr size_t BUFFER_SIZE = 16;
+
+int main(int Argc, const char *Argv[]) {
+
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Q(Props);
+
+  sycl::range<1> Range(BUFFER_SIZE);
+  int *Harray = sycl::malloc_host<int>(BUFFER_SIZE, Q);
+  if (Harray == nullptr) {
+    return -1;
+  }
+  for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+    Harray[i] = MAGIC_NUM;
+  }
+
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.parallel_for<class kernel_using_assert>(
+        Range, [=](sycl::item<1> itemID) {
+          size_t i = itemID.get_id(0);
+          Harray[i] = i + 10;
+          assert(Harray[i] == i + 10 && "assert message");
+        });
+  });
+  Q.wait();
+
+  // Checks result
+  for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+    size_t expected = i + 10;
+    if (Harray[i] != expected)
+      return -1;
+  }
+  free(Harray, Q);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_l0_inorder.cpp b/sycl/test-e2e/DiscardEvents/discard_events_l0_inorder.cpp
new file mode 100644
index 0000000000000..2cafa76be6f7b
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_l0_inorder.cpp
@@ -0,0 +1,162 @@
+// REQUIRES: level_zero
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=0 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=2 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test is to check the execution of different queue operations has in-order
+// semantics regardless of batching.
+//
+// IMPORTANT NOTE: this is a critical test, double-check if your changes are
+// related to L0 barriers that provide links between commands within the same
+// command-list or if your changes are related to L0 events and links between
+// command-lists. if you have problems with this test, first see if other tests
+// related to discard_events pass. And please check if the test passes without
+// the discard_events property, if it doesn't pass then it's most likely a
+// general issue unrelated to discard_events.
+
+#include <CL/sycl.hpp>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+
+static constexpr int MAGIC_NUM1 = 2;
+
+sycl::aspect getUSMAspect(sycl::usm::alloc Alloc) {
+  if (Alloc == sycl::usm::alloc::host)
+    return sycl::aspect::usm_host_allocations;
+
+  if (Alloc == sycl::usm::alloc::device)
+    return sycl::aspect::usm_device_allocations;
+
+  assert(Alloc == sycl::usm::alloc::shared && "Unknown USM allocation type");
+  return sycl::aspect::usm_shared_allocations;
+}
+
+void RunCalculation(sycl::queue queue, sycl::usm::alloc AllocType) {
+  int buffer_size = 100;
+  sycl::range<1> range(buffer_size);
+  auto Dev = queue.get_device();
+  if (!Dev.has(getUSMAspect(AllocType)))
+    return;
+
+  int *values1 =
+      sycl::malloc<int>(buffer_size, Dev, queue.get_context(), AllocType);
+  int *values2 =
+      sycl::malloc<int>(buffer_size, Dev, queue.get_context(), AllocType);
+  int *values3 =
+      sycl::malloc<int>(buffer_size, Dev, queue.get_context(), AllocType);
+
+  std::vector<int> values(buffer_size, 0);
+  std::iota(values.begin(), values.end(), 0);
+
+  std::vector<int> vec1(buffer_size, 0);
+  std::vector<int> vec2(buffer_size, 0);
+  std::vector<int> vec3(buffer_size, 0);
+
+  try {
+    queue.memcpy(values1, values.data(), buffer_size * sizeof(int));
+    queue.memcpy(values2, values1, buffer_size * sizeof(int));
+    queue.memcpy(values3, values2, buffer_size * sizeof(int));
+    queue.memset(values1, 0, buffer_size * sizeof(int));
+
+    queue.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for<class kernel1>(range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (values1[i] == 0)
+          if (values2[i] == i)
+            if (values3[i] == i) {
+              values1[i] += i;
+              values2[i] = MAGIC_NUM1;
+              values3[i] = i;
+            }
+      });
+    });
+
+    queue.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for<class kernel2>(range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (values1[i] == i)
+          if (values2[i] == MAGIC_NUM1)
+            if (values3[i] == i) {
+              values1[i] += 10;
+            }
+      });
+    });
+
+    queue.memcpy(values.data(), values1, buffer_size * sizeof(int));
+    queue.memcpy(values2, values.data(), buffer_size * sizeof(int));
+
+    queue.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for<class kernel3>(range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (values1[i] == i + 10)
+          if (values2[i] == i + 10)
+            if (values3[i] == i) {
+              values1[i] += 100;
+              values2[i] = i;
+            }
+      });
+    });
+
+    queue.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for<class kernel4>(range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (values1[i] == i + 110)
+          if (values2[i] == i)
+            if (values3[i] == i) {
+              values1[i] += 1000;
+            }
+      });
+    });
+
+    queue.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for<class kernel5>(range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (values1[i] == i + 1110)
+          if (values2[i] == i)
+            if (values3[i] == i) {
+              values1[i] += 10000;
+            }
+      });
+    });
+
+    queue.memcpy(vec1.data(), values1, buffer_size * sizeof(int));
+    queue.memcpy(vec2.data(), values2, buffer_size * sizeof(int));
+    queue.memcpy(vec3.data(), values3, buffer_size * sizeof(int));
+
+    queue.wait();
+
+    for (int i = 0; i < buffer_size; ++i) {
+      int expected = i + 11110;
+      assert(vec1[i] == expected);
+      expected = i;
+      assert(vec2[i] == expected);
+      assert(vec3[i] == expected);
+    }
+
+  } catch (sycl::exception &e) {
+    std::cout << "Exception: " << std::string(e.what()) << std::endl;
+  }
+
+  free(values1, queue);
+  free(values2, queue);
+  free(values3, queue);
+}
+
+int main(int argc, char *argv[]) {
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue queue(sycl::default_selector{}, Props);
+
+  RunCalculation(queue, sycl::usm::alloc::host);
+  RunCalculation(queue, sycl::usm::alloc::shared);
+  RunCalculation(queue, sycl::usm::alloc::device);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_l0_leak.cpp b/sycl/test-e2e/DiscardEvents/discard_events_l0_leak.cpp
new file mode 100644
index 0000000000000..fcf705e77d454
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_l0_leak.cpp
@@ -0,0 +1,46 @@
+// REQUIRES: level_zero
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 ONEAPI_DEVICE_SELECTOR='level_zero:*' ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out wait  2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 ONEAPI_DEVICE_SELECTOR='level_zero:*' ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out nowait 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: LEAK
+//
+// The test is to check that there are no leaks reported with the embedded
+// ZE_DEBUG=4 testing capability.
+// In addition to general leak checking, especially for discard_events, the test
+// checks that piKernelRelease to be executed for each kernel call, and
+// EventRelease for events, that are used for dependencies between
+// command-lists.
+
+#include <CL/sycl.hpp>
+int main(int argc, char *argv[]) {
+  assert(argc == 2 && "Invalid number of arguments");
+  std::string use_queue_finish(argv[1]);
+
+  bool use = false;
+  if (use_queue_finish == "wait") {
+    use = true;
+    std::cerr << "Use queue::wait" << std::endl;
+  } else if (use_queue_finish == "nowait") {
+    std::cerr << "No wait. Ensure resources are released anyway" << std::endl;
+  } else {
+    assert(0 && "Unsupported parameter value");
+  }
+
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue q(Props);
+
+  // test has multiple command-lists thanks to this loop and fixed batch size.
+  for (size_t i = 0; i < 100; ++i)
+    q.single_task<class test>([]() {});
+
+  if (use)
+    q.wait();
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_mixed_calls.cpp b/sycl/test-e2e/DiscardEvents/discard_events_mixed_calls.cpp
new file mode 100644
index 0000000000000..917550edfaaed
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_mixed_calls.cpp
@@ -0,0 +1,294 @@
+// UNSUPPORTED: hip
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// The purpose of all tests is to make sure in-order semantics works correctly
+// using discard_events and alternating event and eventless kernel calls in
+// different ways.
+//
+// The test checks that eventless kernel calls work correctly after several
+// event kernel calls.
+// RUN: %CPU_RUN_PLACEHOLDER %t.out accessor-usm
+// RUN: %GPU_RUN_PLACEHOLDER %t.out accessor-usm
+// RUN: %ACC_RUN_PLACEHOLDER %t.out accessor-usm
+//
+// The test checks that event kernel calls work correctly after several
+// eventless kernel calls.
+// RUN: %CPU_RUN_PLACEHOLDER %t.out usm-accessor
+// RUN: %GPU_RUN_PLACEHOLDER %t.out usm-accessor
+// RUN: %ACC_RUN_PLACEHOLDER %t.out usm-accessor
+//
+// The test checks that alternating event and eventless kernel calls work
+// correctly.
+// RUN: %CPU_RUN_PLACEHOLDER %t.out mixed
+// RUN: %GPU_RUN_PLACEHOLDER %t.out mixed
+// RUN: %ACC_RUN_PLACEHOLDER %t.out mixed
+//
+// The test checks that piEnqueueMemBufferMap and piEnqueueMemUnmap work
+// correctly when we alternate between event and eventless kernel calls.
+// RUN: %CPU_RUN_PLACEHOLDER %t.out map-unmap
+// RUN: %GPU_RUN_PLACEHOLDER %t.out map-unmap
+// RUN: %ACC_RUN_PLACEHOLDER %t.out map-unmap
+//
+// Note that the tests use buffer functionality and if you have problems with
+// the tests, please check if they pass without the discard_events property, if
+// they don't pass then it's most likely a general issue unrelated to
+// discard_events.
+
+#include <CL/sycl.hpp>
+#include <cassert>
+#include <iostream>
+
+using namespace cl::sycl;
+static constexpr size_t BUFFER_SIZE = 1024;
+static constexpr int MAX_ITER_NUM1 = 10;
+static constexpr int MAX_ITER_NUM2 = 10;
+
+void TestHelper(sycl::queue Q,
+                const std::function<void(sycl::range<1> Range, int *Harray,
+                                         sycl::buffer<int, 1> Buf)> &Function) {
+  int *Harray = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(Harray != nullptr);
+  for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+    Harray[i] = 0;
+  }
+
+  sycl::range<1> Range(BUFFER_SIZE);
+  sycl::buffer<int, 1> Buf(Range);
+
+  Function(Range, Harray, Buf);
+
+  free(Harray, Q);
+}
+
+void IfTrueIncrementUSM(sycl::queue Q, sycl::range<1> Range, int *Harray,
+                        int ValueToCheck) {
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.parallel_for<class increment_usm>(Range, [=](sycl::item<1> itemID) {
+      size_t i = itemID.get_id(0);
+      if (Harray[i] == ValueToCheck) {
+        Harray[i] += 1;
+      }
+    });
+  });
+}
+
+void IfTrueIncrementBufferAndUSM(sycl::queue Q, sycl::range<1> Range,
+                                 int *Harray, sycl::buffer<int, 1> Buf,
+                                 int ValueToCheck) {
+  Q.submit([&](sycl::handler &CGH) {
+    auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+    CGH.parallel_for<class increment_buffer_and_usm>(
+        Range, [=](sycl::item<1> itemID) {
+          size_t i = itemID.get_id(0);
+          if (Harray[i] == ValueToCheck) {
+            ++Acc[i];
+            ++Harray[i];
+          }
+        });
+  });
+}
+
+void RunTest_USM_Accessor(sycl::queue Q) {
+  TestHelper(Q, [&](sycl::range<1> Range, int *Harray,
+                    sycl::buffer<int, 1> Buf) {
+    {
+      auto HostAcc = Buf.get_access<sycl::access::mode::read_write>();
+      for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+        HostAcc[i] = 0;
+      }
+    }
+
+    for (int i = 0; i < MAX_ITER_NUM1; ++i)
+      IfTrueIncrementUSM(Q, Range, Harray, (i));
+
+    for (int i = 0; i < MAX_ITER_NUM2; ++i)
+      IfTrueIncrementBufferAndUSM(Q, Range, Harray, Buf, (MAX_ITER_NUM1 + i));
+
+    Q.wait();
+
+    // check results
+    for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+      int expected = MAX_ITER_NUM1 + MAX_ITER_NUM2;
+      assert(Harray[i] == expected);
+    }
+    {
+      auto HostAcc = Buf.get_access<sycl::access::mode::read>();
+      for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+        int expected = MAX_ITER_NUM2;
+        assert(HostAcc[i] == expected);
+      }
+    }
+  });
+}
+
+void RunTest_Accessor_USM(sycl::queue Q) {
+  TestHelper(
+      Q, [&](sycl::range<1> Range, int *Harray, sycl::buffer<int, 1> Buf) {
+        {
+          auto HostAcc = Buf.get_access<sycl::access::mode::read_write>();
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            HostAcc[i] = 0;
+          }
+        }
+
+        for (int i = 0; i < MAX_ITER_NUM1; ++i)
+          IfTrueIncrementBufferAndUSM(Q, Range, Harray, Buf, (i));
+
+        for (int i = 0; i < MAX_ITER_NUM2; ++i)
+          IfTrueIncrementUSM(Q, Range, Harray, (MAX_ITER_NUM1 + i));
+
+        Q.wait();
+
+        // check results
+        for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+          int expected = MAX_ITER_NUM1 + MAX_ITER_NUM2;
+          assert(Harray[i] == expected);
+        }
+        {
+          auto HostAcc = Buf.get_access<sycl::access::mode::read>();
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            int expected = MAX_ITER_NUM1;
+            assert(HostAcc[i] == expected);
+          }
+        }
+      });
+}
+
+void RunTest_Mixed(sycl::queue Q) {
+  TestHelper(
+      Q, [&](sycl::range<1> Range, int *Harray, sycl::buffer<int, 1> Buf) {
+        {
+          auto HostAcc = Buf.get_access<sycl::access::mode::read_write>();
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            HostAcc[i] = 0;
+          }
+        }
+
+        for (int i = 0; i < MAX_ITER_NUM1; ++i) {
+          IfTrueIncrementUSM(Q, Range, Harray, (i * 2));
+          IfTrueIncrementBufferAndUSM(Q, Range, Harray, Buf, (i * 2 + 1));
+        }
+
+        for (int i = 0; i < MAX_ITER_NUM2; ++i) {
+          IfTrueIncrementBufferAndUSM(Q, Range, Harray, Buf,
+                                      (MAX_ITER_NUM1 * 2 + i * 2));
+          IfTrueIncrementUSM(Q, Range, Harray, (MAX_ITER_NUM1 * 2 + i * 2 + 1));
+        }
+
+        Q.wait();
+
+        // check results
+        for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+          int expected = MAX_ITER_NUM1 * 2 + MAX_ITER_NUM2 * 2;
+          assert(Harray[i] == expected);
+        }
+        {
+          auto HostAcc = Buf.get_access<sycl::access::mode::read>();
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            int expected = MAX_ITER_NUM1 + MAX_ITER_NUM2;
+            assert(HostAcc[i] == expected);
+          }
+        }
+      });
+}
+
+void RunTest_MemBufferMapUnMap(sycl::queue Q) {
+  TestHelper(
+      Q, [&](sycl::range<1> Range, int *Harray, sycl::buffer<int, 1> Buf) {
+        Q.submit([&](sycl::handler &CGH) {
+          auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+          CGH.parallel_for<class kernel1>(Range, [=](sycl::item<1> itemID) {
+            size_t i = itemID.get_id(0);
+            Harray[i] = i;
+            Acc[i] = i;
+          });
+        });
+
+        Q.submit([&](sycl::handler &CGH) {
+          CGH.parallel_for<class kernel2>(Range, [=](sycl::item<1> itemID) {
+            size_t i = itemID.get_id(0);
+            if (Harray[i] == i)
+              Harray[i] += 10;
+          });
+        });
+
+        {
+          // waiting for all queue operations in piEnqueueMemBufferMap and then
+          // checking buffer
+          auto HostAcc = Buf.get_access<sycl::access::mode::read_write>();
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            int expected = i;
+            assert(HostAcc[i] == expected);
+          }
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            HostAcc[i] += 10;
+          }
+        }
+
+        Q.submit([&](sycl::handler &CGH) {
+          CGH.parallel_for<class kernel3>(Range, [=](sycl::item<1> itemID) {
+            size_t i = itemID.get_id(0);
+            if (Harray[i] == (i + 10))
+              Harray[i] += 100;
+          });
+        });
+
+        Q.submit([&](sycl::handler &CGH) {
+          // waiting for all queue operations in piEnqueueMemUnmap and then
+          // using buffer
+          auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+          CGH.parallel_for<class kernel4>(Range, [=](sycl::item<1> itemID) {
+            size_t i = itemID.get_id(0);
+            if (Acc[i] == (i + 10))
+              if (Harray[i] == (i + 110)) {
+                Harray[i] += 1000;
+                Acc[i] += 100;
+              }
+          });
+        });
+        Q.wait();
+
+        // check results
+        for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+          int expected = i + 1110;
+          assert(Harray[i] == expected);
+        }
+        {
+          auto HostAcc = Buf.get_access<sycl::access::mode::read>();
+          for (size_t i = 0; i < BUFFER_SIZE; ++i) {
+            int expected = i + 110;
+            assert(HostAcc[i] == expected);
+          }
+        }
+      });
+}
+
+int main(int Argc, const char *Argv[]) {
+  assert(Argc == 2 && "Invalid number of arguments");
+  std::string TestType(Argv[1]);
+
+  sycl::property_list props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Q(props);
+
+  if (TestType == "accessor-usm") {
+    std::cerr << "RunTest_Accessor_USM" << std::endl;
+    RunTest_Accessor_USM(Q);
+  } else if (TestType == "usm-accessor") {
+    std::cerr << "RunTest_USM_Accessor" << std::endl;
+    RunTest_USM_Accessor(Q);
+  } else if (TestType == "mixed") {
+    std::cerr << "RunTest_Mixed" << std::endl;
+    RunTest_Mixed(Q);
+  } else if (TestType == "map-unmap") {
+    std::cerr << "RunTest_MemBufferMapUnMap" << std::endl;
+    RunTest_MemBufferMapUnMap(Q);
+  } else {
+    assert(0 && "Unsupported test type!");
+  }
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_test_queue_ops.hpp b/sycl/test-e2e/DiscardEvents/discard_events_test_queue_ops.hpp
new file mode 100644
index 0000000000000..8976fe759fc0b
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_test_queue_ops.hpp
@@ -0,0 +1,128 @@
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void CheckArray(sycl::queue Q, int *x, size_t buffer_size, int expected) {
+  Q.wait();
+  for (size_t i = 0; i < buffer_size; ++i)
+    assert(x[i] == expected);
+}
+
+static constexpr size_t BUFFER_SIZE = 16;
+
+void TestQueueOperations(sycl::queue Q) {
+  sycl::range<1> Range(BUFFER_SIZE);
+  auto Dev = Q.get_device();
+  auto Ctx = Q.get_context();
+  int *x = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(x != nullptr);
+  int *y = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(y != nullptr);
+
+  Q.memset(x, 0, BUFFER_SIZE * sizeof(int));
+  CheckArray(Q, x, BUFFER_SIZE, 0);
+
+  Q.memcpy(y, x, BUFFER_SIZE * sizeof(int));
+  CheckArray(Q, y, BUFFER_SIZE, 0);
+
+  Q.fill(y, 1, BUFFER_SIZE);
+  CheckArray(Q, y, BUFFER_SIZE, 1);
+
+  Q.copy(y, x, BUFFER_SIZE);
+  CheckArray(Q, x, BUFFER_SIZE, 1);
+
+  Q.prefetch(y, BUFFER_SIZE * sizeof(int));
+  Q.mem_advise(y, BUFFER_SIZE * sizeof(int), 0);
+  Q.ext_oneapi_submit_barrier();
+
+  Q.single_task([=] {
+    for (auto i = 0u; i < BUFFER_SIZE; ++i)
+      y[i] *= 2;
+  });
+  CheckArray(Q, y, BUFFER_SIZE, 2);
+
+  Q.parallel_for(Range,
+                 [=](sycl::item<1> itemID) { y[itemID.get_id(0)] *= 3; });
+  CheckArray(Q, y, BUFFER_SIZE, 6);
+
+  // Creates new queue with the same context/device, but without discard_events
+  // property. This queue returns a normal event, not a discarded one.
+  sycl::queue RegularQ(Ctx, Dev, sycl::property::queue::in_order{});
+  int *x1 = sycl::malloc_shared<int>(BUFFER_SIZE, RegularQ);
+  assert(x1 != nullptr);
+  auto event = RegularQ.memset(x1, 0, BUFFER_SIZE * sizeof(int));
+
+  Q.memcpy(y, x, 0, event);
+  CheckArray(Q, y, BUFFER_SIZE, 6);
+
+  Q.wait();
+  free(x, Q);
+  free(y, Q);
+  free(x1, RegularQ);
+}
+
+void TestQueueOperationsViaSubmit(sycl::queue Q) {
+  sycl::range<1> Range(BUFFER_SIZE);
+  auto Dev = Q.get_device();
+  auto Ctx = Q.get_context();
+  int *x = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(x != nullptr);
+  int *y = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(y != nullptr);
+
+  Q.submit(
+      [&](sycl::handler &CGH) { CGH.memset(x, 0, BUFFER_SIZE * sizeof(int)); });
+  CheckArray(Q, x, BUFFER_SIZE, 0);
+
+  Q.submit(
+      [&](sycl::handler &CGH) { CGH.memcpy(y, x, BUFFER_SIZE * sizeof(int)); });
+  CheckArray(Q, y, BUFFER_SIZE, 0);
+
+  Q.submit([&](sycl::handler &CGH) { CGH.fill(y, 1, BUFFER_SIZE); });
+  CheckArray(Q, y, BUFFER_SIZE, 1);
+
+  Q.submit([&](sycl::handler &CGH) { CGH.copy(y, x, BUFFER_SIZE); });
+  CheckArray(Q, x, BUFFER_SIZE, 1);
+
+  Q.submit(
+      [&](sycl::handler &CGH) { CGH.prefetch(y, BUFFER_SIZE * sizeof(int)); });
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.mem_advise(y, BUFFER_SIZE * sizeof(int), 0);
+  });
+  Q.submit([&](sycl::handler &CGH) { CGH.ext_oneapi_barrier(); });
+
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.single_task([=] {
+      for (auto i = 0u; i < BUFFER_SIZE; ++i)
+        y[i] *= 2;
+    });
+  });
+  CheckArray(Q, y, BUFFER_SIZE, 2);
+
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.parallel_for(Range,
+                     [=](sycl::item<1> itemID) { y[itemID.get_id(0)] *= 3; });
+  });
+  CheckArray(Q, y, BUFFER_SIZE, 6);
+
+  // Creates new queue with the same context/device, but without discard_events
+  // property. This queue returns a normal event, not a discarded one.
+  sycl::queue RegularQ(Ctx, Dev, sycl::property::queue::in_order{});
+  int *x1 = sycl::malloc_shared<int>(BUFFER_SIZE, RegularQ);
+  assert(x1 != nullptr);
+  auto event = RegularQ.memset(x1, 0, BUFFER_SIZE * sizeof(int));
+
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.depends_on(event);
+    CGH.memcpy(y, x, 0);
+  });
+  CheckArray(Q, y, BUFFER_SIZE, 6);
+
+  Q.wait();
+  free(x, Q);
+  free(y, Q);
+  free(x1, RegularQ);
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_using_assert.cpp b/sycl/test-e2e/DiscardEvents/discard_events_using_assert.cpp
new file mode 100644
index 0000000000000..b0da131b51873
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_using_assert.cpp
@@ -0,0 +1,25 @@
+// FIXME unsupported on CUDA and HIP until fallback libdevice becomes available
+// UNSUPPORTED: cuda || hip
+//
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// The test checks that the last parameter is not `nullptr` for
+// piEnqueueKernelLaunch.
+// {{0|0000000000000000}} is required for various output on Linux and Windows.
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: The test passed.
+
+#include "discard_events_kernel_using_assert.hpp"
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_using_assert_ndebug.cpp b/sycl/test-e2e/DiscardEvents/discard_events_using_assert_ndebug.cpp
new file mode 100644
index 0000000000000..732d88b4489ff
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_using_assert_ndebug.cpp
@@ -0,0 +1,20 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -DNDEBUG -o %t.out
+//
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// The test checks that the last parameter is `nullptr` for
+// piEnqueueKernelLaunch.
+// {{0|0000000000000000}} is required for various output on Linux and Windows.
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: The test passed.
+
+#include "discard_events_kernel_using_assert.hpp"
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_usm.cpp b/sycl/test-e2e/DiscardEvents/discard_events_usm.cpp
new file mode 100644
index 0000000000000..d7fb82eb2cf71
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_usm.cpp
@@ -0,0 +1,132 @@
+// FIXME unsupported in HIP plugin
+// UNSUPPORTED: hip
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// The test checks that the last parameter is `nullptr` for all PI calls that
+// should discard events.
+// {{0|0000000000000000}} is required for various output on Linux and Windows.
+//
+// Everything that follows TestQueueOperations()
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// Q.fill don't use piEnqueueMemBufferFill
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// ---> piEnqueueMemBufferCopy(
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piextUSMEnqueuePrefetch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piextUSMEnqueueMemAdvise(
+// CHECK: ) --->  pi_result : PI_SUCCESS
+// CHECK-NEXT:         [out]pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueEventsWaitWithBarrier(
+// CHECK: ) --->  pi_result : PI_SUCCESS
+// CHECK-NEXT:         [out]pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// RegularQueue
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueEventsWait(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// Everything that follows TestQueueOperationsViaSubmit()
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// Q.fill don't use piEnqueueMemBufferFill
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// ---> piEnqueueMemBufferCopy(
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piextUSMEnqueuePrefetch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piextUSMEnqueueMemAdvise(
+// CHECK: ) --->  pi_result : PI_SUCCESS
+// CHECK-NEXT:         [out]pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueEventsWaitWithBarrier(
+// CHECK: ) --->  pi_result : PI_SUCCESS
+// CHECK-NEXT:         [out]pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// RegularQueue
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueEventsWait(
+// CHECK:        pi_event * :
+// CHECK-NEXT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+//
+// CHECK: The test passed.
+
+#include "discard_events_test_queue_ops.hpp"
+#include <iostream>
+int main(int Argc, const char *Argv[]) {
+
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Q(Props);
+
+  TestQueueOperations(Q);
+
+  TestQueueOperationsViaSubmit(Q);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/discard_events_usm_ooo_queue.cpp b/sycl/test-e2e/DiscardEvents/discard_events_usm_ooo_queue.cpp
new file mode 100644
index 0000000000000..c52877cfe8c72
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/discard_events_usm_ooo_queue.cpp
@@ -0,0 +1,151 @@
+// FIXME: fails on HIP plugin
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %CPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out &> %t.txt
+// RUN: %ACC_RUN_PLACEHOLDER FileCheck %s --input-file %t.txt
+//
+// The test checks that the last parameter is not `nullptr` for all PI calls
+// that should discard events.
+// {{0|0000000000000000}} is required for various output on Linux and Windows.
+// NOTE: piextUSMEnqueuePrefetch in the CUDA backend may return a warning
+//       result on Windows with error-code -996
+//       (PI_ERROR_PLUGIN_SPECIFIC_ERROR). Since it is a warning it is safe to
+//       ignore for this test.
+//
+// Everything that follows TestQueueOperations()
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// Q.fill don't use piEnqueueMemBufferFill
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// ---> piEnqueueMemBufferCopy(
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piextUSMEnqueuePrefetch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : {{PI_SUCCESS|-996}}
+//
+// CHECK: ---> piextUSMEnqueueMemAdvise(
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueEventsWaitWithBarrier(
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// RegularQueue
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueEventsWait(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// Everything that follows TestQueueOperationsViaSubmit()
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// Q.fill don't use piEnqueueMemBufferFill
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// ---> piEnqueueMemBufferCopy(
+// CHECK: ---> piextUSMEnqueueMemcpy(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piextUSMEnqueuePrefetch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : {{PI_SUCCESS|-996}}
+//
+// CHECK: ---> piextUSMEnqueueMemAdvise(
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueEventsWaitWithBarrier(
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// RegularQueue
+// CHECK: ---> piextUSMEnqueueMemset(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: ---> piEnqueueEventsWait(
+// CHECK:        pi_event * :
+// CHECK-NOT:        pi_event * : {{0|0000000000000000}}[ nullptr ]
+// CHECK: --->  pi_result : PI_SUCCESS
+//
+// CHECK: The test passed.
+
+#include "discard_events_test_queue_ops.hpp"
+#include <iostream>
+
+int main(int Argc, const char *Argv[]) {
+
+  sycl::property_list Props{
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue OOO_Q(Props);
+
+  TestQueueOperations(OOO_Q);
+
+  TestQueueOperationsViaSubmit(OOO_Q);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/invalid_event.cpp b/sycl/test-e2e/DiscardEvents/invalid_event.cpp
new file mode 100644
index 0000000000000..932ef5abed483
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/invalid_event.cpp
@@ -0,0 +1,96 @@
+// FIXME: Fails on HIP and OpenCL accelerator
+// UNSUPPORTED: hip, (opencl && accelerator)
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// The test checks that each PI call to the queue returns a discarded event
+// with the status "ext_oneapi_unknown"
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+static constexpr size_t BUFFER_SIZE = 16;
+
+void QueueAPIsReturnDiscardedEvent(sycl::queue Q) {
+  sycl::range<1> range(BUFFER_SIZE);
+
+  auto Dev = Q.get_device();
+  int *x = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(x != nullptr);
+  int *y = sycl::malloc_shared<int>(BUFFER_SIZE, Q);
+  assert(y != nullptr);
+
+  sycl::event DiscardedEvent;
+
+  DiscardedEvent = Q.memset(x, 0, BUFFER_SIZE * sizeof(int));
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.memcpy(y, x, BUFFER_SIZE * sizeof(int));
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.fill(y, 1, BUFFER_SIZE);
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.copy(y, x, BUFFER_SIZE);
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.prefetch(y, BUFFER_SIZE * sizeof(int));
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.mem_advise(y, BUFFER_SIZE * sizeof(int), 0);
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.single_task([=] {});
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.submit([&](sycl::handler &CGH) {
+    CGH.parallel_for(range, [=](sycl::item<1> itemID) {});
+  });
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  DiscardedEvent = Q.ext_oneapi_submit_barrier();
+  assert(
+      DiscardedEvent.get_info<sycl::info::event::command_execution_status>() ==
+      sycl::info::event_command_status::ext_oneapi_unknown);
+
+  Q.wait();
+  free(x, Q);
+  free(y, Q);
+}
+
+int main(int Argc, const char *Argv[]) {
+  sycl::property_list Props1{
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue OOO_Queue(Props1);
+  QueueAPIsReturnDiscardedEvent(OOO_Queue);
+
+  sycl::property_list Props2{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Inorder_Queue(Props2);
+  QueueAPIsReturnDiscardedEvent(Inorder_Queue);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DiscardEvents/invalid_event_exceptions.cpp b/sycl/test-e2e/DiscardEvents/invalid_event_exceptions.cpp
new file mode 100644
index 0000000000000..2aee06057fed2
--- /dev/null
+++ b/sycl/test-e2e/DiscardEvents/invalid_event_exceptions.cpp
@@ -0,0 +1,169 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// The test checks 3 things:
+// 1. An attempt to construct a queue with both properties(discard_events and
+// enable_profiling) throws an exception.
+// 2. Checks the APIs for discarded event that should throw an exception that
+// they do it.
+// 3. An attempt to pass discarded event into depends_on throws an exception.
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void DiscardedEventWaitExceptionHelper(
+    const std::function<void()> &FunctionToTry) {
+  try {
+    FunctionToTry();
+    assert(false && "No exception was thrown.");
+  } catch (const sycl::exception &e) {
+    assert(e.code().value() == static_cast<int>(sycl::errc::invalid) &&
+           "sycl::exception code was not the expected sycl::errc::invalid.");
+  } catch (...) {
+    assert(false &&
+           "Unexpected exception was thrown in kernel invocation function.");
+  }
+}
+
+void DependsOnDiscardedEventException(sycl::queue Q) {
+  auto DiscardedEvent =
+      Q.submit([&](sycl::handler &CGH) { CGH.single_task([] {}); });
+
+  Q.submit([&](sycl::handler &CGH) {
+    try {
+      CGH.depends_on(DiscardedEvent);
+      assert(false && "No exception was thrown.");
+    } catch (const sycl::exception &e) {
+      assert(e.code().value() == static_cast<int>(sycl::errc::invalid) &&
+             "sycl::exception code was not the expected sycl::errc::invalid.");
+    } catch (...) {
+      assert(false &&
+             "Unexpected exception was thrown in kernel invocation function.");
+    }
+    CGH.single_task([] {});
+  });
+
+  sycl::event e1, e2;
+  Q.submit([&](sycl::handler &CGH) {
+    try {
+      CGH.depends_on({e1, DiscardedEvent, e2});
+      assert(false && "No exception was thrown.");
+    } catch (const sycl::exception &e) {
+      assert(e.code().value() == static_cast<int>(sycl::errc::invalid) &&
+             "sycl::exception code was not the expected sycl::errc::invalid.");
+    } catch (...) {
+      assert(false &&
+             "Unexpected exception was thrown in kernel invocation function.");
+    }
+    CGH.single_task([] {});
+  });
+
+  sycl::queue RegularQ;
+  RegularQ.submit([&](sycl::handler &CGH) {
+    try {
+      CGH.depends_on(DiscardedEvent);
+      assert(false && "No exception was thrown.");
+    } catch (const sycl::exception &e) {
+      assert(e.code().value() == static_cast<int>(sycl::errc::invalid) &&
+             "sycl::exception code was not the expected sycl::errc::invalid.");
+    } catch (...) {
+      assert(false &&
+             "Unexpected exception was thrown in kernel invocation function.");
+    }
+    CGH.single_task([] {});
+  });
+
+  RegularQ.submit([&](sycl::handler &CGH) {
+    try {
+      CGH.depends_on({e1, DiscardedEvent, e2});
+      assert(false && "No exception was thrown.");
+    } catch (const sycl::exception &e) {
+      assert(e.code().value() == static_cast<int>(sycl::errc::invalid) &&
+             "sycl::exception code was not the expected sycl::errc::invalid.");
+    } catch (...) {
+      assert(false &&
+             "Unexpected exception was thrown in kernel invocation function.");
+    }
+    CGH.single_task([] {});
+  });
+}
+
+void CheckDiscardedEventAPIException(sycl::queue Q) {
+  DiscardedEventWaitExceptionHelper([&]() {
+    auto DiscardedEvent =
+        Q.submit([&](sycl::handler &CGH) { CGH.single_task([] {}); });
+    DiscardedEvent.wait();
+  });
+
+  DiscardedEventWaitExceptionHelper([&]() {
+    auto DiscardedEvent =
+        Q.submit([&](sycl::handler &CGH) { CGH.single_task([] {}); });
+    sycl::event::wait({DiscardedEvent});
+  });
+
+  DiscardedEventWaitExceptionHelper([&]() {
+    auto DiscardedEvent =
+        Q.submit([&](sycl::handler &CGH) { CGH.single_task([] {}); });
+    DiscardedEvent.wait_and_throw();
+  });
+
+  DiscardedEventWaitExceptionHelper([&]() {
+    auto DiscardedEvent =
+        Q.submit([&](sycl::handler &CGH) { CGH.single_task([] {}); });
+    sycl::event::wait_and_throw({DiscardedEvent});
+  });
+
+  DiscardedEventWaitExceptionHelper([&]() {
+    auto DiscardedEvent =
+        Q.submit([&](sycl::handler &CGH) { CGH.single_task([] {}); });
+    DiscardedEvent.get_wait_list();
+  });
+}
+
+void CreatingEnableProfilingQueueException(sycl::property_list Props) {
+  try {
+    sycl::queue Q{Props};
+    assert(false && "No exception was thrown.");
+  } catch (const sycl::exception &e) {
+    assert(e.code().value() == static_cast<int>(sycl::errc::invalid) &&
+           "sycl::exception code was not the expected sycl::errc::invalid.");
+  } catch (...) {
+    assert(false &&
+           "Unexpected exception was thrown in kernel invocation function.");
+  }
+}
+
+int main(int Argc, const char *Argv[]) {
+  sycl::property_list Props1{
+      sycl::property::queue::enable_profiling{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  CreatingEnableProfilingQueueException(Props1);
+
+  sycl::property_list Props2{
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue OOO_Queue(Props2);
+  DependsOnDiscardedEventException(OOO_Queue);
+  CheckDiscardedEventAPIException(OOO_Queue);
+
+  sycl::property_list Props3{
+      sycl::property::queue::in_order{},
+      sycl::property::queue::enable_profiling{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  CreatingEnableProfilingQueueException(Props3);
+
+  sycl::property_list Props4{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+  sycl::queue Inorder_Queue(Props4);
+  DependsOnDiscardedEventException(Inorder_Queue);
+  CheckDiscardedEventAPIException(Inorder_Queue);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/DotProduct/dot_product_int_test.cpp b/sycl/test-e2e/DotProduct/dot_product_int_test.cpp
new file mode 100644
index 0000000000000..ceda1e4927861
--- /dev/null
+++ b/sycl/test-e2e/DotProduct/dot_product_int_test.cpp
@@ -0,0 +1,247 @@
+// This test checks dp4a support
+// For now we only check fallback support because DG1 hardware is not widespread
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <memory>
+#include <stdio.h>
+#include <sycl/ext/oneapi/dot_product.hpp>
+#include <sycl/sycl.hpp>
+
+// Change if tests are added/removed
+static int testCount = 4;
+static int passCount;
+
+using namespace sycl;
+using namespace sycl::detail::gtl;
+using namespace sycl::ext::oneapi;
+
+constexpr int RangeLength = 100;
+
+// Verify 1D array
+template <typename T>
+static bool verify_1D(const char *name, int X, T *A, T *A_ref) {
+  int ErrCnt = 0;
+
+  for (int i = 0; i < X; i++) {
+    if (A_ref[i] != A[i]) {
+      if (++ErrCnt < 10) {
+        std::cout << name << " mismatch at " << i << ". Expected " << A_ref[i]
+                  << " result is " << A[i] << "\n";
+      }
+    }
+  }
+
+  if (ErrCnt == 0) {
+    return true;
+  }
+  std::cout << "  Failed. Failure rate: " << ErrCnt << "/" << X << "("
+            << ErrCnt / (float)X * 100.f << "%)\n";
+  return false;
+}
+
+static bool testss(queue &Q) {
+  int A[RangeLength];
+  int B[RangeLength];
+  int C[RangeLength];
+  int D[RangeLength];
+  int D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i] = i | (i << 8) | (i << 16) | (i << 24);
+    B[i] = 0xFFFFFFFF;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = (i * -1) + (i * -1) + (i * -1) + (i * -1) + C[i];
+  }
+
+  buffer<int, 1> Abuf(A, range<1>(RangeLength));
+  buffer<int, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tss>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testss D", RangeLength, D, D_ref);
+}
+
+static bool testuu(queue &Q) {
+  unsigned int A[RangeLength];
+  unsigned int B[RangeLength];
+  int C[RangeLength];
+  int D[RangeLength];
+  int D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i] = i | (i << 8) | (i << 16) | (i << 24);
+    B[i] = 0xFFFFFFFF;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = (i * 255) + (i * 255) + (i * 255) + (i * 255) + C[i];
+  }
+
+  buffer<unsigned int, 1> Abuf(A, range<1>(RangeLength));
+  buffer<unsigned int, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tuu>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testuu D", RangeLength, D, D_ref);
+}
+
+static bool testsu(queue &Q) {
+  int A[RangeLength];
+  unsigned int B[RangeLength];
+  int C[RangeLength];
+  int D[RangeLength];
+  int D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i] = 0xFFFFFFFF;
+    B[i] = i | (i << 8) | (i << 16) | (i << 24);
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = (i * -1) + (i * -1) + (i * -1) + (i * -1) + C[i];
+  }
+
+  buffer<int, 1> Abuf(A, range<1>(RangeLength));
+  buffer<unsigned int, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tsu>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testsu D", RangeLength, D, D_ref);
+}
+
+static bool testus(queue &Q) {
+  unsigned int A[RangeLength];
+  int B[RangeLength];
+  int C[RangeLength];
+  int D[RangeLength];
+  int D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i] = i | (i << 8) | (i << 16) | (i << 24);
+    B[i] = 0xFFFFFFFF;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = (i * -1) + (i * -1) + (i * -1) + (i * -1) + C[i];
+  }
+
+  buffer<unsigned int, 1> Abuf(A, range<1>(RangeLength));
+  buffer<int, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tus>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testus D", RangeLength, D, D_ref);
+}
+
+bool run_tests() {
+  queue Q([](exception_list L) {
+    for (auto ep : L) {
+      std::rethrow_exception(ep);
+    }
+  });
+
+  passCount = 0;
+  if (testss(Q)) {
+    ++passCount;
+  }
+  if (testuu(Q)) {
+    ++passCount;
+  }
+  if (testsu(Q)) {
+    ++passCount;
+  }
+  if (testus(Q)) {
+    ++passCount;
+  }
+
+  auto D = Q.get_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << passCount << " of " << testCount << " tests passed on "
+            << devType << "\n";
+
+  return (testCount == passCount);
+}
+
+int main(int argc, char *argv[]) {
+  bool passed = true;
+  default_selector selector{};
+  auto D = selector.select_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << "Running on device " << devType << " ("
+            << D.get_info<sycl::info::device::name>() << ")\n";
+  passed &= run_tests();
+
+  if (!passed) {
+    std::cout << "FAILED\n";
+    return 1;
+  }
+  std::cout << "PASSED\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/DotProduct/dot_product_vec_test.cpp b/sycl/test-e2e/DotProduct/dot_product_vec_test.cpp
new file mode 100644
index 0000000000000..201911a4f9b0a
--- /dev/null
+++ b/sycl/test-e2e/DotProduct/dot_product_vec_test.cpp
@@ -0,0 +1,259 @@
+// This test checks dp4a support with vec<> arguments
+// For now we only check fallback support because DG1 hardware is not widespread
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <memory>
+#include <stdio.h>
+#include <sycl/ext/oneapi/dot_product.hpp>
+#include <sycl/sycl.hpp>
+
+// Change if tests are added/removed
+static int testCount = 4;
+static int passCount;
+
+using namespace sycl;
+using namespace sycl::detail::gtl;
+using namespace sycl::ext::oneapi;
+
+constexpr int RangeLength = 100;
+
+// Verify 1D array
+template <typename T>
+static bool verify_1D(const char *name, int X, T *A, T *A_ref) {
+  int ErrCnt = 0;
+
+  for (int i = 0; i < X; i++) {
+    if (A_ref[i] != A[i]) {
+      if (++ErrCnt < 10) {
+        std::cout << name << " mismatch at " << i << ". Expected " << A_ref[i]
+                  << " result is " << A[i] << "\n";
+      }
+    }
+  }
+
+  if (ErrCnt == 0) {
+    return true;
+  }
+  std::cout << "  Failed. Failure rate: " << ErrCnt << "/" << X << "("
+            << ErrCnt / (float)X * 100.f << "%)\n";
+  return false;
+}
+
+static bool testss(queue &Q) {
+  vec<int8_t, 4> A[RangeLength];
+  vec<int8_t, 4> B[RangeLength];
+  int32_t C[RangeLength];
+  int32_t D[RangeLength];
+  int32_t D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i].s0() = A[i].s1() = A[i].s2() = A[i].s3() = i;
+    B[i].s0() = B[i].s1() = B[i].s2() = B[i].s3() = 0xFF;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = 4 * (i * -1) + C[i];
+  }
+
+  buffer<vec<int8_t, 4>, 1> Abuf(A, range<1>(RangeLength));
+  buffer<vec<int8_t, 4>, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int32_t, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int32_t, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tss>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testss D", RangeLength, D, D_ref);
+}
+
+static bool testuu(queue &Q) {
+  vec<uint8_t, 4> A[RangeLength];
+  vec<uint8_t, 4> B[RangeLength];
+  int32_t C[RangeLength];
+  int32_t D[RangeLength];
+  int32_t D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i].s0() = A[i].s1() = A[i].s2() = A[i].s3() = i;
+    B[i].s0() = B[i].s1() = B[i].s2() = B[i].s3() = 0xFF;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = 4 * (i * 255) + C[i];
+  }
+
+  buffer<vec<uint8_t, 4>, 1> Abuf(A, range<1>(RangeLength));
+  buffer<vec<uint8_t, 4>, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int32_t, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int32_t, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tuu>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testuu D", RangeLength, D, D_ref);
+}
+
+static bool testsu(queue &Q) {
+  vec<int8_t, 4> A[RangeLength];
+  vec<uint8_t, 4> B[RangeLength];
+  int32_t C[RangeLength];
+  int32_t D[RangeLength];
+  int32_t D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i].s0() = A[i].s1() = A[i].s2() = A[i].s3() = 0xFF;
+    B[i].s0() = B[i].s1() = B[i].s2() = B[i].s3() = i;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = 4 * (i * -1) + C[i];
+  }
+
+  buffer<vec<int8_t, 4>, 1> Abuf(A, range<1>(RangeLength));
+  buffer<vec<uint8_t, 4>, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int32_t, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int32_t, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tsu>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testsu D", RangeLength, D, D_ref);
+}
+
+static bool testus(queue &Q) {
+  vec<uint8_t, 4> A[RangeLength];
+  vec<int8_t, 4> B[RangeLength];
+  int32_t C[RangeLength];
+  int32_t D[RangeLength];
+  int32_t D_ref[RangeLength];
+
+  std::memset(D, 0, RangeLength * sizeof(int));
+  std::memset(D_ref, 0, RangeLength * sizeof(int));
+
+  for (int i = 0; i < RangeLength; i++) {
+    A[i].s0() = A[i].s1() = A[i].s2() = A[i].s3() = i;
+    B[i].s0() = B[i].s1() = B[i].s2() = B[i].s3() = 0xFF;
+    C[i] = i;
+  }
+  for (int i = 0; i < RangeLength; i++) {
+    D_ref[i] = 4 * (i * -1) + C[i];
+  }
+
+  buffer<vec<uint8_t, 4>, 1> Abuf(A, range<1>(RangeLength));
+  buffer<vec<int8_t, 4>, 1> Bbuf(B, range<1>(RangeLength));
+  buffer<int32_t, 1> Cbuf(C, range<1>(RangeLength));
+  buffer<int32_t, 1> Dbuf(D, range<1>(RangeLength));
+
+  Q.submit([&](handler &cgh) {
+    auto Ap = Abuf.get_access<access::mode::read>(cgh);
+    auto Bp = Bbuf.get_access<access::mode::read>(cgh);
+    auto Cp = Cbuf.get_access<access::mode::read>(cgh);
+    auto Dp = Dbuf.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class tus>(range<1>(RangeLength), [=](id<1> I) {
+      Dp[I] = dot_acc(Ap[I], Bp[I], Cp[I]);
+    });
+  });
+  const auto HAcc = Dbuf.get_access<sycl::access::mode::read>();
+
+  return verify_1D("testus D", RangeLength, D, D_ref);
+}
+
+bool run_tests() {
+  queue Q([](exception_list L) {
+    for (auto ep : L) {
+      try {
+        std::rethrow_exception(ep);
+      } catch (std::exception &E) {
+        std::cout << "*** std exception caught:\n";
+        std::cout << E.what();
+      } catch (sycl::exception const &E1) {
+        std::cout << "*** SYCL exception caught:\n";
+        std::cout << E1.what();
+      }
+    }
+  });
+
+  passCount = 0;
+  if (testss(Q)) {
+    ++passCount;
+  }
+  if (testuu(Q)) {
+    ++passCount;
+  }
+  if (testsu(Q)) {
+    ++passCount;
+  }
+  if (testus(Q)) {
+    ++passCount;
+  }
+
+  auto D = Q.get_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << passCount << " of " << testCount << " tests passed on "
+            << devType << "\n";
+
+  return (testCount == passCount);
+}
+
+int main(int argc, char *argv[]) {
+  bool passed = true;
+  default_selector selector{};
+  auto D = selector.select_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << "Running on device " << devType << " ("
+            << D.get_info<sycl::info::device::name>() << ")\n";
+  try {
+    passed &= run_tests();
+  } catch (exception e) {
+    std::cout << e.what();
+  }
+
+  if (!passed) {
+    std::cout << "FAILED\n";
+    return 1;
+  }
+  std::cout << "PASSED\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/BitonicSortK.cpp b/sycl/test-e2e/ESIMD/BitonicSortK.cpp
new file mode 100644
index 0000000000000..38a862b8913d6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/BitonicSortK.cpp
@@ -0,0 +1,722 @@
+//==---------------- BitonicSortK.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace std;
+
+#define LOG2_ELEMENTS 16 // 24
+
+/*
+ * To avoid loading/storing excessive data from/to memory, the
+ * implementation of the bitonic sort here tries to take advantage of GRF
+ * space and do as much work as possible locally without going through memory.
+ * The algorithm is implemented using 2 kernels, cmk_bitonic_sort_256 and
+ * cmk_bitonic_merge. Given an input, the algorithm first divides the data
+ * into 256-element chunks sorted by each HW threads. Since 256 elements are
+ * loaded into GRFs, swapping elements within a chunk leverages
+ * the expressiveness of Gen register regioning. Once esimd_bitonic_sort_256
+ * is complete, two neighboring segments of 256-element form a bitonic order.
+ * Cmk_bitonic_merge takes two 256-chunks and performs swapping elements
+ * based on the sorting order directions, ascending or descending.
+ */
+
+template <typename ty, uint32_t size, typename AccTy>
+ESIMD_INLINE simd<ty, size> cmk_read(AccTy buf, uint32_t offset) {
+  simd<ty, size> v;
+  offset *= sizeof(ty);
+#pragma unroll
+  for (uint32_t i = 0; i < size; i += 32) {
+    simd<ty, 32> data;
+    data.copy_from(buf, offset);
+    v.template select<32, 1>(i) = data;
+    offset += 32 * sizeof(ty);
+  }
+  return v;
+}
+
+template <typename ty, uint32_t size, typename AccTy>
+ESIMD_INLINE void cmk_write(AccTy buf, uint32_t offset, simd<ty, size> v) {
+  offset *= sizeof(ty);
+#pragma unroll
+  for (uint32_t i = 0; i < size; i += 32) {
+    simd<ty, 32> vals = v.template select<32, 1>(i);
+    vals.copy_to(buf, offset);
+    offset += 32 * sizeof(ty);
+  }
+}
+
+const mask_type_t<32> init_mask1 = {0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1,
+                                    0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1,
+                                    1, 0, 0, 1, 1, 0, 0, 1, 1, 0};
+
+const mask_type_t<32> init_mask2 = {0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1,
+                                    1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1,
+                                    0, 0, 0, 0, 1, 1, 1, 1, 0, 0};
+
+const mask_type_t<32> init_mask3 = {0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0,
+                                    1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0,
+                                    1, 0, 0, 1, 0, 1, 1, 0, 1, 0};
+
+const mask_type_t<32> init_mask4 = {0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1,
+                                    1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1,
+                                    1, 1, 1, 1, 1, 1, 0, 0, 0, 0};
+
+const mask_type_t<32> init_mask5 = {0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0,
+                                    0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0,
+                                    1, 1, 1, 1, 0, 0, 1, 1, 0, 0};
+
+const mask_type_t<32> init_mask6 = {0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1,
+                                    0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1,
+                                    0, 1, 1, 0, 1, 0, 1, 0, 1, 0};
+
+const mask_type_t<32> init_mask7 = {0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
+                                    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
+                                    1, 1, 0, 0, 0, 0, 0, 0, 0, 0};
+
+const mask_type_t<32> init_mask8 = {0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0,
+                                    0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0,
+                                    0, 0, 1, 1, 1, 1, 0, 0, 0, 0};
+
+const mask_type_t<32> init_mask9 = {0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1,
+                                    1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1,
+                                    0, 0, 1, 1, 0, 0, 1, 1, 0, 0};
+
+const mask_type_t<32> init_mask10 = {0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0,
+                                     1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0,
+                                     1, 0, 1, 0, 1, 0, 1, 0, 1, 0};
+
+const mask_type_t<32> init_mask11 = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                                     0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
+                                     1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+
+const mask_type_t<32> init_mask12 = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
+                                     1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
+                                     0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+
+const mask_type_t<32> init_mask13 = {0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
+                                     1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
+                                     0, 0, 1, 1, 1, 1, 1, 1, 1, 1};
+
+const mask_type_t<32> init_mask14 = {1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0,
+                                     0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
+                                     1, 1, 0, 0, 0, 0, 0, 0, 0, 0};
+
+const mask_type_t<32> init_mask15 = {0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0,
+                                     0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1,
+                                     1, 1, 0, 0, 0, 0, 1, 1, 1, 1};
+
+const mask_type_t<32> init_mask16 = {1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1,
+                                     1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0,
+                                     0, 0, 1, 1, 1, 1, 0, 0, 0, 0};
+
+const mask_type_t<32> init_mask17 = {0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1,
+                                     1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0,
+                                     1, 1, 0, 0, 1, 1, 0, 0, 1, 1};
+
+const mask_type_t<32> init_mask18 = {1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0,
+                                     0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1,
+                                     0, 0, 1, 1, 0, 0, 1, 1, 0, 0};
+
+const mask_type_t<32> init_mask19 = {0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0,
+                                     1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,
+                                     0, 1, 0, 1, 0, 1, 0, 1, 0, 1};
+
+const mask_type_t<32> init_mask20 = {1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,
+                                     0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0,
+                                     1, 0, 1, 0, 1, 0, 1, 0, 1, 0};
+
+#define BASE_SZ 256
+#define MAX_TS_WIDTH 512
+
+// Function bitonic_exchange{1,2,4,8} compares and swaps elements with
+// the particular strides
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange8(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    B.select<8, 1>(i) = A.select<8, 1>(i + 8);
+    B.select<8, 1>(i + 8) = A.select<8, 1>(i);
+    B.select<8, 1>(i + 16) = A.select<8, 1>(i + 24);
+    B.select<8, 1>(i + 24) = A.select<8, 1>(i + 16);
+    B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                             (A.select<32, 1>(i) < B.select<32, 1>(i)) ^ flip);
+  }
+  return B;
+}
+
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange4(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MA = A.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    auto MB = B.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    MB.select<4, 1, 4, 1>(0, 0) = MA.select<4, 1, 4, 1>(0, 4);
+    MB.select<4, 1, 4, 1>(0, 4) = MA.select<4, 1, 4, 1>(0, 0);
+    B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                             (A.select<32, 1>(i) < B.select<32, 1>(i)) ^ flip);
+  }
+  return B;
+}
+
+// The implementation of bitonic_exchange2 is similar to bitonic_exchange1.
+// The only difference is stride distance and different flip vector.
+// However the shuffling data patterns for stride 2 cannot be expressed
+// concisely with Gen register regioning.
+// we format vector A and B into matrix_ref<long long, 4, 4>.
+// MB.select<4, 1, 2, 2>(0, 0) can be mapped to destination region well.
+//   MB.select<4, 1, 2, 2>(0, 0) = MA.select<4, 1, 2, 2>(0, 1);
+// is compiled to
+//   mov(4) r34.0<2>:q r41.1<2; 1, 0>:q { Align1, Q1 }
+//   mov(4) r36.0<2>:q r8.1<2; 1, 0>:q { Align1, Q1 }
+//   mov(4) r34.1<2>:q r41.0<2; 1, 0>:q { Align1, Q1 }
+//   mov(4) r36.1<2>:q r8.0<2; 1, 0>:q { Align1, Q1 }
+// each mov copies four 64-bit data, which is 4X SIMD efficiency
+// improvement over the straightforward implementation.
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange2(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MB = B.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+    auto MA = A.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+    MB.select<4, 1, 2, 2>(0, 0) = MA.select<4, 1, 2, 2>(0, 1);
+    MB.select<4, 1, 2, 2>(0, 1) = MA.select<4, 1, 2, 2>(0, 0);
+    B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                             (A.select<32, 1>(i) < B.select<32, 1>(i)) ^ flip);
+  }
+  return B;
+}
+
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange1(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  // each thread is handling 256-element chunk. Each iteration
+  // compares and swaps two 32 elements
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    // The first step is to select A's odd-position elements,
+    // indicated by A.select<16,2>(i), which selects 16 elements
+    // with stride 2 starting from location A[i], and copies
+    // the selected elements to B[i] location with stride 2.
+    auto T = B.select<32, 1>(i);
+    T.select<16, 2>(0) = A.select<16, 2>(i + 1);
+    // The next step selects 16 even-position elements starting
+    // from A[i+1] and copies them over to B's odd positions
+    // starting at B[i+1]. After the first two steps,
+    // all even-odd pair elements are swapped.
+    T.select<16, 2>(1) = A.select<16, 2>(i);
+    // The final step determines if the swapped pairs in B are
+    // the desired order and should be preserved. If not, their values
+    // are overwritten by their corresponding original values
+    // (before swapping). The comparisons determine which elements
+    // in B already meet the sorting order requirement and which are not.
+    // Consider the first two elements of A & B, B[0] and B[1] is
+    // the swap of A[0] and A[1]. Element-wise < comparison tells
+    // that A[0] < B[0], i.e., A[0] < A[1]. Since the desired sorting
+    // order is A[0] < A[1], however, we already swap the two values
+    // as we copy A to B. The XOR operation is to set the condition to
+    // indicate which elements in original vector A have the right sorting
+    // order. Those elements are then merged from A to B based on their
+    // corresponding conditions. Consider B[2] and B[3] in this case.
+    // The order already satisfies the sorting order. The flip vector
+    // passed to this stage is [0,1,1,0,0,1,1,0]. The flip bit of B[2]
+    // resets the condition so that the later merge operation preserves
+    // B[2] and won't copy from A[2].
+    auto mask = flip ^ (A.select<32, 1>(i) < T);
+    T.merge(A.select<32, 1>(i), mask);
+  }
+  return B;
+}
+
+// bitonic_merge for stage m has recursive steps to compare and swap
+// elements with stride 1 << m, 1 << (m - 1), ... , 8, 4, 2, 1.
+// bitonic_merge is GRF based implementation that handles stride
+// 1 to 128 compare - and - swap steps.For stride <= 128, 256 data
+// items are kept in GRF. All compare-and-swap can all be completely
+// done with GRF locally. Doing so avoids global synchronizations
+// and repeating loads/stores. Parameter n indicates that bitonic_merge
+// is handling stride 1 << n for bitonic stage m.
+ESIMD_INLINE void bitonic_merge(uint32_t offset, simd<uint32_t, BASE_SZ> &A,
+                                uint32_t n, uint32_t m) {
+  // dist is the stride distance for compare-and-swap
+  uint32_t dist = 1 << n;
+  // number of exchange passes we need
+  // this loop handles stride distance 128 down to 16. Each iteration
+  // the distance is halved. Due to data access patterns of stride
+  // 8, 4, 2 and 1 are within one GRF, those stride distance are handled
+  // by custom tailored code to take advantage of register regioning.
+  for (int k = 0; k < n - 3; k++, dist >>= 1) {
+    // Each HW thread process 256 data elements. For a given stride
+    // distance S, 256 elements are divided into 256/(2*S) groups.
+    // within each group, two elements with distance S apart are
+    // compared and swapped based on sorting direction.
+    // This loop basically iterates through each group.
+    for (int i = 0; i < BASE_SZ; i += dist * 2) {
+      // Every bitonic stage, we need to maintain bitonic sorting order.
+      // Namely, data are sorted into alternating ascending and descending
+      // fashion. As show in Figure 9, the light blue background regions
+      // are in ascending order, the light green background regions in
+      // descending order. Whether data are in ascending or descending
+      // regions depends on their position and the current bitonic stage
+      // they are in. "offset+i" the position. For stage m, data of
+      // chunks of 1<<(m+1) elements in all the stride steps have the
+      // same order.
+      bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+      // each iteration swap 2 16-element chunks
+      for (int j = 0; j < (dist >> 4); j++) {
+        simd<uint32_t, 16> T = A.select<16, 1>(i + j * 16);
+        auto T1 = A.select<16, 1>(i + j * 16);
+        auto T2 = A.select<16, 1>(i + j * 16 + dist);
+        if (dir_up) {
+          T1.merge(T2, T2 < T1);
+          T2.merge(T, T > T2);
+        } else {
+          T1.merge(T2, T2 > T1);
+          T2.merge(T, T < T2);
+        }
+      }
+    }
+  }
+
+  // Stride 1, 2, 4, and 8 in bitonic_merge are custom tailored to
+  // take advantage of register regioning. The implementation is
+  // similar to bitonic_exchange{1,2,4,8}.
+
+  // exchange 8
+  simd_mask<32> flip13(init_mask13);
+  simd_mask<32> flip14(init_mask14);
+  simd<uint32_t, BASE_SZ> B;
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    B.select<8, 1>(i) = A.select<8, 1>(i + 8);
+    B.select<8, 1>(i + 8) = A.select<8, 1>(i);
+    B.select<8, 1>(i + 16) = A.select<8, 1>(i + 24);
+    B.select<8, 1>(i + 24) = A.select<8, 1>(i + 16);
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    if (dir_up)
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip13);
+    else
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip14);
+  }
+
+  // exchange 4
+  simd_mask<32> flip15(init_mask15);
+  simd_mask<32> flip16(init_mask16);
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MA = A.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    auto MB = B.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    MA.select<4, 1, 4, 1>(0, 0) = MB.select<4, 1, 4, 1>(0, 4);
+    MA.select<4, 1, 4, 1>(0, 4) = MB.select<4, 1, 4, 1>(0, 0);
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    if (dir_up)
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < A.select<32, 1>(i)) ^
+                                   flip15);
+    else
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < A.select<32, 1>(i)) ^
+                                   flip16);
+  }
+
+  // exchange 2
+  simd_mask<32> flip17(init_mask17);
+  simd_mask<32> flip18(init_mask18);
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MB = B.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+    auto MA = A.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+
+    MB.select<4, 1, 2, 2>(0, 0) = MA.select<4, 1, 2, 2>(0, 1);
+    MB.select<4, 1, 2, 2>(0, 1) = MA.select<4, 1, 2, 2>(0, 0);
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    if (dir_up)
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip17);
+    else
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip18);
+  }
+  // exchange 1
+  simd_mask<32> flip19(init_mask19);
+  simd_mask<32> flip20(init_mask20);
+#pragma unroll
+  // Each iteration compares and swaps 2 32-element chunks
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    // As aforementioned in bitonic_exchange1.
+    // switch even and odd elements of B and put them in A.
+    auto T = A.select<32, 1>(i);
+    T.select<16, 2>(0) = B.select<16, 2>(i + 1);
+    T.select<16, 2>(1) = B.select<16, 2>(i);
+    // determine whether data are in ascending or descending regions
+    // depends on their position and the current bitonic stage
+    // they are in. "offset+i" is the position. For stage m,
+    // data of chunks of 1<<(m+1) elements in all the stride steps
+    // have the same order. For instance, in stage 4, all first 32 elements
+    // are in ascending order and the next 32 elements are in descending
+    // order. "&1" determines the alternating ascending and descending order.
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    // choose flip vector based on the direction (ascending or descending).
+    // Compare and swap
+    if (dir_up)
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < T) ^ flip19);
+    else
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < T) ^ flip20);
+  }
+}
+
+// sorting 256 elements in ascending or descending order
+template <typename AccTy1, typename AccTy2>
+ESIMD_INLINE void cmk_bitonic_sort_256(AccTy1 buf1, AccTy2 buf2, uint32_t idx) {
+  uint h_pos = idx;
+  uint32_t offset = (h_pos * BASE_SZ);
+
+  // The first few stages are implemented with double buffers, A and B,
+  // which reside in GRF.The output of a stride exchange step is fed
+  // into the next exchange step as the input.cmk_read loads a 256-element
+  // chunk starting at offset into vector A. The flip vectors basically
+  // indicate what the desired sorting order for swapping.
+  simd<uint32_t, BASE_SZ> A;
+  simd<uint32_t, BASE_SZ> B;
+  A = cmk_read<uint32_t, BASE_SZ, AccTy1>(buf1, offset);
+
+  simd_mask<32> flip1(init_mask1);
+
+  // stage 0
+  B = bitonic_exchange1(A, flip1);
+  // stage 1
+  simd_mask<32> flip2(init_mask2);
+  simd_mask<32> flip3(init_mask3);
+  A = bitonic_exchange2(B, flip2);
+  B = bitonic_exchange1(A, flip3);
+  // stage 2
+  simd_mask<32> flip4(init_mask4);
+  simd_mask<32> flip5(init_mask5);
+  simd_mask<32> flip6(init_mask6);
+  A = bitonic_exchange4(B, flip4);
+  B = bitonic_exchange2(A, flip5);
+  A = bitonic_exchange1(B, flip6);
+  // stage 3
+  simd_mask<32> flip7(init_mask7);
+  simd_mask<32> flip8(init_mask8);
+  simd_mask<32> flip9(init_mask9);
+  simd_mask<32> flip10(init_mask10);
+  B = bitonic_exchange8(A, flip7);
+  A = bitonic_exchange4(B, flip8);
+  B = bitonic_exchange2(A, flip9);
+  A = bitonic_exchange1(B, flip10);
+  // stage 4,5,6,7 use generic bitonic_merge routine
+  for (int i = 4; i < 8; i++)
+    bitonic_merge(h_pos * BASE_SZ, A, i, i);
+
+  // cmk_write writes out sorted data to the output buffer.
+  cmk_write<uint32_t, BASE_SZ, AccTy2>(buf2, offset, A);
+}
+
+template <typename AccTy>
+ESIMD_INLINE void cmk_bitonic_merge(AccTy buf, uint32_t n, uint32_t m,
+                                    uint32_t idx) {
+  // threads are mapped to a 2D space. take 2D origin (x,y) and unfold them
+  // to get the thread position in 1D space. use tid read the data chunks
+  // the thread needs to read from the index surface
+  uint tid = idx;
+  // which 2-to-(n+1) segment the thread needs to work on
+  // each thread swap two 256-element blocks.
+  uint32_t seg = tid / (1 << (n - 8));
+  uint32_t seg_sz = 1 << (n + 1);
+  // calculate the offset of the data this HW is reading. seg*seg_sz is
+  // the starting address of the segment the thread is in. As aforementioned,
+  // each segment needs 1<<(n-8) threads. tid%(1<<(n-8) which 256-element
+  // chunk within the segment this HW thread is processing.
+  uint32_t offset = (seg * seg_sz + (tid % (1 << (n - 8)) * BASE_SZ));
+  // stride distance
+  uint32_t dist = 1 << n;
+  // determine whether data are in ascending or descending regions depends on
+  // their position and the current bitonic stage they are in.
+  // "offset" is the position. For stage m, data of chunks of 1<<(m+1)
+  // elements in all the stride steps have the same order.
+  // "&1" determines the alternating ascending and descending order.
+  bool dir_up = ((offset >> (m + 1)) & 1) == 0;
+  // read oword 32 elements each time
+  simd<uint32_t, BASE_SZ> A;
+  simd<uint32_t, BASE_SZ> B;
+
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    // byte offset
+    A.select<32, 1>(i) = cmk_read<uint32_t, 32, AccTy>(buf, (offset + i));
+    B.select<32, 1>(i) =
+        cmk_read<uint32_t, 32, AccTy>(buf, (offset + i + dist));
+    // compare 32 elements at a time and merge the result based on
+    // the sorting direction
+    simd<uint32_t, 32> T = A.select<32, 1>(i);
+    if (dir_up) {
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               B.select<32, 1>(i) < A.select<32, 1>(i));
+      B.select<32, 1>(i).merge(T, T > B.select<32, 1>(i));
+    } else {
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               B.select<32, 1>(i) > A.select<32, 1>(i));
+      B.select<32, 1>(i).merge(T, T < B.select<32, 1>(i));
+    }
+  }
+  // Once stride distance 256 is reached, all subsequent recursive steps
+  // (n = 7, 6, ..., 1) can be resolved locally as all data reside
+  // in vector A and B. Thus, reduce the overhead of returning back to
+  // the host side and relaunch tasks. Also writing data back to
+  // memory and reading it back is avoided. bitonic_merge is
+  // the routine explained earlier.
+  if (n == 8) {
+    // Vector A has 256 elements. Call bitonic_merge to process
+    // the remaining stride distance for A. A's sorted result is
+    // immediately written out to memory. Doing so avoids spilling
+    // because A's lifetime ends without interfering with
+    // bitonic_merge(... B ...)
+    bitonic_merge(offset, A, 7, m);
+    cmk_write<uint32_t, BASE_SZ, AccTy>(buf, offset, A);
+    bitonic_merge(offset + dist, B, 7, m);
+    cmk_write<uint32_t, BASE_SZ, AccTy>(buf, (offset + dist), B);
+  } else {
+    cmk_write<uint32_t, BASE_SZ, AccTy>(buf, offset, A);
+    cmk_write<uint32_t, BASE_SZ, AccTy>(buf, (offset + dist), B);
+  }
+}
+
+struct BitonicSort {
+  enum {
+    base_sort_size_ = 256,
+    base_split_size_ = base_sort_size_ << 1,
+    base_merge_size_ = 256
+  };
+  uint32_t size_;
+  uint32_t *pInputs_;
+  uint32_t *pActualOutputs_;
+  uint32_t *pExpectOutputs_;
+  uint32_t *pSortDirections_;
+  queue *pQueue_;
+
+public:
+  bool Run(queue *pQ, uint32_t size) {
+    bool result = true;
+    Setup(pQ, size);
+    RunExpect();
+    RunActual();
+    return Validate();
+  }
+  void Setup(queue *pQ, uint32_t size);
+  void RunActual();
+  void RunExpect();
+  bool Validate();
+  int Solve(uint32_t *pInputs, uint32_t *pOutputs, uint32_t size);
+  void Teardown();
+};
+
+#define MAX_TS_WIDTH 512
+
+void BitonicSort::Setup(queue *pQ, uint32_t size) {
+  size_ = size;
+  pQueue_ = pQ;
+  pSortDirections_ = new uint32_t[size_ / base_sort_size_];
+  memset(pSortDirections_, 0, sizeof(uint32_t) * (size_ / base_sort_size_));
+
+  pSortDirections_[0] = 0;
+  for (uint32_t scale = 1; scale < size_ / 256; scale <<= 1) {
+    for (uint32_t i = 0; i < scale; i++) {
+      pSortDirections_[scale + i] = !pSortDirections_[i];
+    }
+  }
+
+  pInputs_ = new uint32_t[size_];
+  for (uint32_t i = 0; i < size_; ++i) {
+    pInputs_[i] = rand();
+    // pInputs_[i] = rand() % (1 << 15);
+  }
+
+  pActualOutputs_ = new uint32_t[size_];
+  memset(pActualOutputs_, 0, sizeof(uint32_t) * size_);
+
+  pExpectOutputs_ = new uint32_t[size_];
+  memcpy(pExpectOutputs_, pInputs_, sizeof(uint32_t) * size_);
+}
+
+void BitonicSort::RunActual() { Solve(pInputs_, pActualOutputs_, size_); }
+
+void BitonicSort::RunExpect() {
+  std::sort(pExpectOutputs_, pExpectOutputs_ + size_);
+}
+
+bool BitonicSort::Validate() {
+  for (uint32_t i = 0; i < size_; ++i) {
+    if (pExpectOutputs_[i] != pActualOutputs_[i]) {
+      cout << "Difference is detected at i= " << i
+           << " Expect = " << pExpectOutputs_[i]
+           << " Actual = " << pActualOutputs_[i] << std::endl;
+      return false;
+    }
+  }
+  return true;
+}
+
+int BitonicSort::Solve(uint32_t *pInputs, uint32_t *pOutputs, uint32_t size) {
+  uint32_t width, height; // thread space width and height
+  uint32_t total_threads = size / base_sort_size_;
+  // create ranges
+  // We need that many workitems
+  auto SortGlobalRange = sycl::range<1>(total_threads);
+  // Number of workitems in a workgroup
+  sycl::range<1> SortLocalRange{1};
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  // Launches the task on the GPU.
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+
+  // Reducing number of iterations for esimd_emulator backend in order
+  // to avoid timeout failure
+  if (pQueue_->get_backend() == sycl::backend::ext_intel_esimd_emulator) {
+    num_iters = 2;
+  }
+
+  const bool profiling =
+      pQueue_->has_property<property::queue::enable_profiling>();
+
+  // num_iters + 1, iteration#0 is for warmup
+  for (int iter = 0; iter <= num_iters; ++iter) {
+    try {
+      buffer<uint32_t, 1> bufi(pInputs, range<1>(size));
+      buffer<uint32_t, 1> bufo(pOutputs, range<1>(size));
+      // enqueue sort265 kernel
+      auto e = pQueue_->submit([&](handler &cgh) {
+        auto acci = bufi.get_access<access::mode::read>(cgh);
+        auto acco = bufo.get_access<access::mode::write>(cgh);
+        cgh.parallel_for<class Sort256>(
+            SortGlobalRange * SortLocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+              cmk_bitonic_sort_256(acci, acco, i);
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel1 time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+    } catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return 0;
+    }
+
+    // Each HW thread swap two 256-element chunks. Hence, we only need
+    // to launch size/ (base_sort_size*2) HW threads
+    total_threads = size / (base_sort_size_ * 2);
+    // create ranges
+    // We need that many workitems
+    auto MergeGlobalRange = sycl::range<1>(total_threads);
+    // Number of workitems in a workgroup
+    sycl::range<1> MergeLocalRange{1};
+
+    // enqueue merge kernel multiple times
+    // this loop is for stage 8 to stage LOG2_ELEMENTS.
+    event mergeEvent[(LOG2_ELEMENTS - 8) * (LOG2_ELEMENTS - 7) / 2];
+    int k = 0;
+    try {
+      for (int i = 8; i < LOG2_ELEMENTS; i++) {
+        // each step halves the stride distance of its prior step.
+        // 1<<j is the stride distance that the invoked step will handle.
+        // The recursive steps continue until stride distance 1 is complete.
+        // For stride distance less than 1<<8, no global synchronization
+        // is needed, i.e., all work can be done locally within HW threads.
+        // Hence, the invocation of j==8 cmk_bitonic_merge finishes stride 256
+        // compare-and-swap and then performs stride 128, 64, 32, 16, 8, 4, 2, 1
+        // locally.
+        for (int j = i; j >= 8; j--) {
+          buffer<uint32_t, 1> buf(pOutputs, range<1>(size));
+          mergeEvent[k] = pQueue_->submit([&](handler &cgh) {
+            auto acc = buf.get_access<access::mode::read_write>(cgh);
+            cgh.parallel_for<class Merge>(
+                MergeGlobalRange * MergeLocalRange,
+                [=](id<1> tid) SYCL_ESIMD_KERNEL {
+                  using namespace sycl::ext::intel::esimd;
+                  cmk_bitonic_merge(acc, j, i, tid);
+                });
+          });
+          k++;
+        }
+      }
+    } catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return 0;
+    }
+
+    mergeEvent[k - 1].wait();
+    if (profiling) {
+      double etime = esimd_test::report_time("kernel2 time", mergeEvent[0],
+                                             mergeEvent[k - 1]);
+      if (iter > 0)
+        kernel_times += etime;
+    }
+    if (iter == 0)
+      start = timer.Elapsed();
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+  return 1;
+}
+
+void BitonicSort::Teardown() {
+  delete[] pExpectOutputs_;
+  delete[] pInputs_;
+  delete[] pActualOutputs_;
+  delete[] pSortDirections_;
+}
+
+int main(int argc, char *argv[]) {
+  int size = 1 << LOG2_ELEMENTS;
+  cout << "BitonicSort (" << size << ") Start..." << std::endl;
+
+  queue q = esimd_test::createQueue();
+
+  BitonicSort bitonicSort;
+
+  bool passed = bitonicSort.Run(&q, size);
+
+  bitonicSort.Teardown();
+
+  cout << (passed ? "=> PASSED" : "=> FAILED") << std::endl << std::endl;
+
+  return !passed;
+}
diff --git a/sycl/test-e2e/ESIMD/BitonicSortKv2.cpp b/sycl/test-e2e/ESIMD/BitonicSortKv2.cpp
new file mode 100644
index 0000000000000..c486f612d91e3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/BitonicSortKv2.cpp
@@ -0,0 +1,638 @@
+//==---------------- BitonicSortKv2.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+using namespace std;
+
+#define LOG2_ELEMENTS 16 // 24
+
+/*
+ * To avoid loading/storing excessive data from/to memory, the
+ * implementation of the bitonic sort here tries to take advantage of GRF
+ * space and do as much work as possible locally without going through memory.
+ * The algorithm is implemented using 2 kernels, cmk_bitonic_sort_256 and
+ * cmk_bitonic_merge. Given an input, the algorithm first divides the data
+ * into 256-element chunks sorted by each HW threads. Since 256 elements are
+ * loaded into GRFs, swapping elements within a chunk leverages
+ * the expressiveness of Gen register regioning. Once esimd_bitonic_sort_256
+ * is complete, two neighboring segments of 256-element form a bitonic order.
+ * Cmk_bitonic_merge takes two 256-chunks and performs swapping elements
+ * based on the sorting order directions, ascending or descending.
+ */
+
+template <typename ty, uint32_t size>
+ESIMD_INLINE simd<ty, size> cmk_read(ty *buf, uint32_t offset) {
+  simd<ty, size> v;
+#pragma unroll
+  for (uint32_t i = 0; i < size; i += 32) {
+    simd<ty, 32> data;
+    data.copy_from(buf + offset + i);
+    v.template select<32, 1>(i) = data;
+  }
+  return v;
+}
+
+template <typename ty, uint32_t size>
+ESIMD_INLINE void cmk_write(ty *buf, uint32_t offset, simd<ty, size> v) {
+#pragma unroll
+  for (uint32_t i = 0; i < size; i += 32) {
+    simd<ty, 32> vals = v.template select<32, 1>(i);
+    vals.copy_to(buf + offset + i);
+  }
+}
+
+#define BASE_SZ 256
+#define MAX_TS_WIDTH 512
+
+// Function bitonic_exchange{1,2,4,8} compares and swaps elements with
+// the particular strides
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange8(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    B.select<8, 1>(i) = A.select<8, 1>(i + 8);
+    B.select<8, 1>(i + 8) = A.select<8, 1>(i);
+    B.select<8, 1>(i + 16) = A.select<8, 1>(i + 24);
+    B.select<8, 1>(i + 24) = A.select<8, 1>(i + 16);
+    B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                             (A.select<32, 1>(i) < B.select<32, 1>(i)) ^ flip);
+  }
+  return B;
+}
+
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange4(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MA = A.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    auto MB = B.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    MB.select<4, 1, 4, 1>(0, 0) = MA.select<4, 1, 4, 1>(0, 4);
+    MB.select<4, 1, 4, 1>(0, 4) = MA.select<4, 1, 4, 1>(0, 0);
+    B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                             (A.select<32, 1>(i) < B.select<32, 1>(i)) ^ flip);
+  }
+  return B;
+}
+
+// The implementation of bitonic_exchange2 is similar to bitonic_exchange1.
+// The only difference is stride distance and different flip vector.
+// However the shuffling data patterns for stride 2 cannot be expressed
+// concisely with Gen register regioning.
+// we format vector A and B into matrix_ref<long long, 4, 4>.
+// MB.select<4, 1, 2, 2>(0, 0) can be mapped to destination region well.
+//   MB.select<4, 1, 2, 2>(0, 0) = MA.select<4, 1, 2, 2>(0, 1);
+// is compiled to
+//   mov(4) r34.0<2>:q r41.1<2; 1, 0>:q { Align1, Q1 }
+//   mov(4) r36.0<2>:q r8.1<2; 1, 0>:q { Align1, Q1 }
+//   mov(4) r34.1<2>:q r41.0<2; 1, 0>:q { Align1, Q1 }
+//   mov(4) r36.1<2>:q r8.0<2; 1, 0>:q { Align1, Q1 }
+// each mov copies four 64-bit data, which is 4X SIMD efficiency
+// improvement over the straightforward implementation.
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange2(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MB = B.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+    auto MA = A.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+    MB.select<4, 1, 2, 2>(0, 0) = MA.select<4, 1, 2, 2>(0, 1);
+    MB.select<4, 1, 2, 2>(0, 1) = MA.select<4, 1, 2, 2>(0, 0);
+    B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                             (A.select<32, 1>(i) < B.select<32, 1>(i)) ^ flip);
+  }
+  return B;
+}
+
+ESIMD_INLINE simd<uint32_t, BASE_SZ>
+bitonic_exchange1(simd<uint32_t, BASE_SZ> A, simd_mask<32> flip) {
+  simd<uint32_t, BASE_SZ> B;
+#pragma unroll
+  // each thread is handling 256-element chunk. Each iteration
+  // compares and swaps two 32 elements
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    // The first step is to select A's odd-position elements,
+    // indicated by A.select<16,2>(i), which selects 16 elements
+    // with stride 2 starting from location A[i], and copies
+    // the selected elements to B[i] location with stride 2.
+    auto T = B.select<32, 1>(i);
+    T.select<16, 2>(0) = A.select<16, 2>(i + 1);
+    // The next step selects 16 even-position elements starting
+    // from A[i+1] and copies them over to B's odd positions
+    // starting at B[i+1]. After the first two steps,
+    // all even-odd pair elements are swapped.
+    T.select<16, 2>(1) = A.select<16, 2>(i);
+    // The final step determines if the swapped pairs in B are
+    // the desired order and should be preserved. If not, their values
+    // are overwritten by their corresponding original values
+    // (before swapping). The comparisons determine which elements
+    // in B already meet the sorting order requirement and which are not.
+    // Consider the first two elements of A & B, B[0] and B[1] is
+    // the swap of A[0] and A[1]. Element-wise < comparison tells
+    // that A[0] < B[0], i.e., A[0] < A[1]. Since the desired sorting
+    // order is A[0] < A[1], however, we already swap the two values
+    // as we copy A to B. The XOR operation is to set the condition to
+    // indicate which elements in original vector A have the right sorting
+    // order. Those elements are then merged from A to B based on their
+    // corresponding conditions. Consider B[2] and B[3] in this case.
+    // The order already satisfies the sorting order. The flip vector
+    // passed to this stage is [0,1,1,0,0,1,1,0]. The flip bit of B[2]
+    // resets the condition so that the later merge operation preserves
+    // B[2] and won't copy from A[2].
+    auto mask = flip ^ (A.select<32, 1>(i) < T);
+    T.merge(A.select<32, 1>(i), mask);
+  }
+  return B;
+}
+
+// bitonic_merge for stage m has recursive steps to compare and swap
+// elements with stride 1 << m, 1 << (m - 1), ... , 8, 4, 2, 1.
+// bitonic_merge is GRF based implementation that handles stride
+// 1 to 128 compare - and - swap steps.For stride <= 128, 256 data
+// items are kept in GRF. All compare-and-swap can all be completely
+// done with GRF locally. Doing so avoids global synchronizations
+// and repeating loads/stores. Parameter n indicates that bitonic_merge
+// is handling stride 1 << n for bitonic stage m.
+ESIMD_INLINE void bitonic_merge(uint32_t offset, simd<uint32_t, BASE_SZ> &A,
+                                uint32_t n, uint32_t m) {
+  // dist is the stride distance for compare-and-swap
+  uint32_t dist = 1 << n;
+  // number of exchange passes we need
+  // this loop handles stride distance 128 down to 16. Each iteration
+  // the distance is halved. Due to data access patterns of stride
+  // 8, 4, 2 and 1 are within one GRF, those stride distance are handled
+  // by custom tailored code to take advantage of register regioning.
+  for (int k = 0; k < n - 3; k++, dist >>= 1) {
+    // Each HW thread process 256 data elements. For a given stride
+    // distance S, 256 elements are divided into 256/(2*S) groups.
+    // within each group, two elements with distance S apart are
+    // compared and swapped based on sorting direction.
+    // This loop basically iterates through each group.
+    for (int i = 0; i < BASE_SZ; i += dist * 2) {
+      // Every bitonic stage, we need to maintain bitonic sorting order.
+      // Namely, data are sorted into alternating ascending and descending
+      // fashion. As show in Figure 9, the light blue background regions
+      // are in ascending order, the light green background regions in
+      // descending order. Whether data are in ascending or descending
+      // regions depends on their position and the current bitonic stage
+      // they are in. "offset+i" the position. For stage m, data of
+      // chunks of 1<<(m+1) elements in all the stride steps have the
+      // same order.
+      bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+      // each iteration swap 2 16-element chunks
+      for (int j = 0; j < (dist >> 4); j++) {
+        simd<uint32_t, 16> T = A.select<16, 1>(i + j * 16);
+        auto T1 = A.select<16, 1>(i + j * 16);
+        auto T2 = A.select<16, 1>(i + j * 16 + dist);
+        if (dir_up) {
+          T1.merge(T2, T2 < T1);
+          T2.merge(T, T > T2);
+        } else {
+          T1.merge(T2, T2 > T1);
+          T2.merge(T, T < T2);
+        }
+      }
+    }
+  }
+
+  // Stride 1, 2, 4, and 8 in bitonic_merge are custom tailored to
+  // take advantage of register regioning. The implementation is
+  // similar to bitonic_exchange{1,2,4,8}.
+
+  // exchange 8
+  simd_mask<32> flip13 = esimd::unpack_mask<32>(0xff00ff00); //(init_mask13);
+  simd_mask<32> flip14 = esimd::unpack_mask<32>(0x00ff00ff); //(init_mask14);
+  simd<uint32_t, BASE_SZ> B;
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    B.select<8, 1>(i) = A.select<8, 1>(i + 8);
+    B.select<8, 1>(i + 8) = A.select<8, 1>(i);
+    B.select<8, 1>(i + 16) = A.select<8, 1>(i + 24);
+    B.select<8, 1>(i + 24) = A.select<8, 1>(i + 16);
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    if (dir_up)
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip13);
+    else
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip14);
+  }
+
+  // exchange 4
+  simd_mask<32> flip15 = esimd::unpack_mask<32>(0xf0f0f0f0); //(init_mask15);
+  simd_mask<32> flip16 = esimd::unpack_mask<32>(0x0f0f0f0f); //(init_mask16);
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MA = A.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    auto MB = B.select<32, 1>(i).bit_cast_view<uint32_t, 4, 8>();
+    MA.select<4, 1, 4, 1>(0, 0) = MB.select<4, 1, 4, 1>(0, 4);
+    MA.select<4, 1, 4, 1>(0, 4) = MB.select<4, 1, 4, 1>(0, 0);
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    if (dir_up)
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < A.select<32, 1>(i)) ^
+                                   flip15);
+    else
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < A.select<32, 1>(i)) ^
+                                   flip16);
+  }
+
+  // exchange 2
+  simd_mask<32> flip17 = esimd::unpack_mask<32>(0xcccccccc); //(init_mask17);
+  simd_mask<32> flip18 = esimd::unpack_mask<32>(0x33333333); //(init_mask18);
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    auto MB = B.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+    auto MA = A.select<32, 1>(i).bit_cast_view<long long, 4, 4>();
+
+    MB.select<4, 1, 2, 2>(0, 0) = MA.select<4, 1, 2, 2>(0, 1);
+    MB.select<4, 1, 2, 2>(0, 1) = MA.select<4, 1, 2, 2>(0, 0);
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    if (dir_up)
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip17);
+    else
+      B.select<32, 1>(i).merge(A.select<32, 1>(i),
+                               (A.select<32, 1>(i) < B.select<32, 1>(i)) ^
+                                   flip18);
+  }
+  // exchange 1
+  simd_mask<32> flip19 = esimd::unpack_mask<32>(0xaaaaaaaa); //(init_mask19);
+  simd_mask<32> flip20 = esimd::unpack_mask<32>(0x55555555); //(init_mask20);
+#pragma unroll
+  // Each iteration compares and swaps 2 32-element chunks
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    // As aforementioned in bitonic_exchange1.
+    // switch even and odd elements of B and put them in A.
+    auto T = A.select<32, 1>(i);
+    T.select<16, 2>(0) = B.select<16, 2>(i + 1);
+    T.select<16, 2>(1) = B.select<16, 2>(i);
+    // determine whether data are in ascending or descending regions
+    // depends on their position and the current bitonic stage
+    // they are in. "offset+i" is the position. For stage m,
+    // data of chunks of 1<<(m+1) elements in all the stride steps
+    // have the same order. For instance, in stage 4, all first 32 elements
+    // are in ascending order and the next 32 elements are in descending
+    // order. "&1" determines the alternating ascending and descending order.
+    bool dir_up = (((offset + i) >> (m + 1)) & 1) == 0;
+    // choose flip vector based on the direction (ascending or descending).
+    // Compare and swap
+    if (dir_up)
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < T) ^ flip19);
+    else
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               (B.select<32, 1>(i) < T) ^ flip20);
+  }
+}
+
+// sorting 256 elements in ascending or descending order
+ESIMD_INLINE void cmk_bitonic_sort_256(uint32_t *buf1, uint32_t *buf2,
+                                       uint32_t idx) {
+  uint h_pos = idx;
+  uint32_t offset = (h_pos * BASE_SZ);
+
+  // The first few stages are implemented with double buffers, A and B,
+  // which reside in GRF.The output of a stride exchange step is fed
+  // into the next exchange step as the input.cmk_read loads a 256-element
+  // chunk starting at offset into vector A. The flip vectors basically
+  // indicate what the desired sorting order for swapping.
+  simd<uint32_t, BASE_SZ> A;
+  simd<uint32_t, BASE_SZ> B;
+  A = cmk_read<uint32_t, BASE_SZ>(buf1, offset);
+
+  simd_mask<32> flip1 = esimd::unpack_mask<32>(0x66666666); //(init_mask1);
+
+  // stage 0
+  B = bitonic_exchange1(A, flip1);
+  // stage 1
+  simd_mask<32> flip2 = esimd::unpack_mask<32>(0x3c3c3c3c); //(init_mask2);
+  simd_mask<32> flip3 = esimd::unpack_mask<32>(0x5a5a5a5a); //(init_mask3);
+  A = bitonic_exchange2(B, flip2);
+  B = bitonic_exchange1(A, flip3);
+  // stage 2
+  simd_mask<32> flip4 = esimd::unpack_mask<32>(0x0ff00ff0); //(init_mask4);
+  simd_mask<32> flip5 = esimd::unpack_mask<32>(0x33cc33cc); //(init_mask5);
+  simd_mask<32> flip6 = esimd::unpack_mask<32>(0x55aa55aa); //(init_mask6);
+  A = bitonic_exchange4(B, flip4);
+  B = bitonic_exchange2(A, flip5);
+  A = bitonic_exchange1(B, flip6);
+  // stage 3
+  simd_mask<32> flip7 = esimd::unpack_mask<32>(0x00ffff00);  //(init_mask7);
+  simd_mask<32> flip8 = esimd::unpack_mask<32>(0x0f0ff0f0);  //(init_mask8);
+  simd_mask<32> flip9 = esimd::unpack_mask<32>(0x3333cccc);  //(init_mask9);
+  simd_mask<32> flip10 = esimd::unpack_mask<32>(0x5555aaaa); //(init_mask10);
+  B = bitonic_exchange8(A, flip7);
+  A = bitonic_exchange4(B, flip8);
+  B = bitonic_exchange2(A, flip9);
+  A = bitonic_exchange1(B, flip10);
+  // stage 4,5,6,7 use generic bitonic_merge routine
+  for (int i = 4; i < 8; i++)
+    bitonic_merge(h_pos * BASE_SZ, A, i, i);
+
+  // cmk_write writes out sorted data to the output buffer.
+  cmk_write<uint32_t, BASE_SZ>(buf2, offset, A);
+}
+
+ESIMD_INLINE void cmk_bitonic_merge(uint32_t *buf, uint32_t n, uint32_t m,
+                                    uint32_t idx) {
+  // threads are mapped to a 2D space. take 2D origin (x,y) and unfold them
+  // to get the thread position in 1D space. use tid read the data chunks
+  // the thread needs to read from the index surface
+  uint tid = idx;
+  // which 2-to-(n+1) segment the thread needs to work on
+  // each thread swap two 256-element blocks.
+  uint32_t seg = tid / (1 << (n - 8));
+  uint32_t seg_sz = 1 << (n + 1);
+  // calculate the offset of the data this HW is reading. seg*seg_sz is
+  // the starting address of the segment the thread is in. As aforementioned,
+  // each segment needs 1<<(n-8) threads. tid%(1<<(n-8) which 256-element
+  // chunk within the segment this HW thread is processing.
+  uint32_t offset = (seg * seg_sz + (tid % (1 << (n - 8)) * BASE_SZ));
+  // stride distance
+  uint32_t dist = 1 << n;
+  // determine whether data are in ascending or descending regions depends on
+  // their position and the current bitonic stage they are in.
+  // "offset" is the position. For stage m, data of chunks of 1<<(m+1)
+  // elements in all the stride steps have the same order.
+  // "&1" determines the alternating ascending and descending order.
+  bool dir_up = ((offset >> (m + 1)) & 1) == 0;
+  // read oword 32 elements each time
+  simd<uint32_t, BASE_SZ> A;
+  simd<uint32_t, BASE_SZ> B;
+
+#pragma unroll
+  for (int i = 0; i < BASE_SZ; i += 32) {
+    // byte offset
+    A.select<32, 1>(i) = cmk_read<uint32_t, 32>(buf, (offset + i));
+    B.select<32, 1>(i) = cmk_read<uint32_t, 32>(buf, (offset + i + dist));
+    // compare 32 elements at a time and merge the result based on
+    // the sorting direction
+    simd<uint32_t, 32> T = A.select<32, 1>(i);
+    if (dir_up) {
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               B.select<32, 1>(i) < A.select<32, 1>(i));
+      B.select<32, 1>(i).merge(T, T > B.select<32, 1>(i));
+    } else {
+      A.select<32, 1>(i).merge(B.select<32, 1>(i),
+                               B.select<32, 1>(i) > A.select<32, 1>(i));
+      B.select<32, 1>(i).merge(T, T < B.select<32, 1>(i));
+    }
+  }
+  // Once stride distance 256 is reached, all subsequent recursive steps
+  // (n = 7, 6, ..., 1) can be resolved locally as all data reside
+  // in vector A and B. Thus, reduce the overhead of returning back to
+  // the host side and relaunch tasks. Also writing data back to
+  // memory and reading it back is avoided. bitonic_merge is
+  // the routine explained earlier.
+  if (n == 8) {
+    // Vector A has 256 elements. Call bitonic_merge to process
+    // the remaining stride distance for A. A's sorted result is
+    // immediately written out to memory. Doing so avoids spilling
+    // because A's lifetime ends without interfering with
+    // bitonic_merge(... B ...)
+    bitonic_merge(offset, A, 7, m);
+    cmk_write<uint32_t, BASE_SZ>(buf, offset, A);
+    bitonic_merge(offset + dist, B, 7, m);
+    cmk_write<uint32_t, BASE_SZ>(buf, (offset + dist), B);
+  } else {
+    cmk_write<uint32_t, BASE_SZ>(buf, offset, A);
+    cmk_write<uint32_t, BASE_SZ>(buf, (offset + dist), B);
+  }
+}
+
+struct BitonicSort {
+  enum {
+    base_sort_size_ = 256,
+    base_split_size_ = base_sort_size_ << 1,
+    base_merge_size_ = 256
+  };
+  uint32_t size_;
+  uint32_t *pInputs_;
+  uint32_t *pActualOutputs_;
+  uint32_t *pExpectOutputs_;
+  uint32_t *pSortDirections_;
+  queue *pQueue_;
+
+public:
+  bool Run(queue *pQ, uint32_t size) {
+    bool result = true;
+    Setup(pQ, size);
+    RunExpect();
+    RunActual();
+    return Validate();
+  }
+  void Setup(queue *pQ, uint32_t size);
+  void RunActual();
+  void RunExpect();
+  bool Validate();
+  int Solve(uint32_t *pInputs, uint32_t *pOutputs, uint32_t size);
+  void Teardown();
+};
+
+#define MAX_TS_WIDTH 512
+
+void BitonicSort::Setup(queue *pQ, uint32_t size) {
+  size_ = size;
+  pQueue_ = pQ;
+  auto dev = pQueue_->get_device();
+  auto ctxt = pQueue_->get_context();
+  pSortDirections_ = static_cast<uint32_t *>(
+      malloc_shared(size_ * sizeof(int) / base_sort_size_, dev, ctxt));
+  memset(pSortDirections_, 0, sizeof(uint32_t) * (size_ / base_sort_size_));
+
+  pSortDirections_[0] = 0;
+  for (uint32_t scale = 1; scale < size_ / 256; scale <<= 1) {
+    for (uint32_t i = 0; i < scale; i++) {
+      pSortDirections_[scale + i] = !pSortDirections_[i];
+    }
+  }
+
+  pInputs_ =
+      static_cast<uint32_t *>(malloc_shared(size_ * sizeof(int), dev, ctxt));
+  for (uint32_t i = 0; i < size_; ++i) {
+    pInputs_[i] = rand();
+    // pInputs_[i] = rand() % (1 << 15);
+  }
+
+  pActualOutputs_ =
+      static_cast<uint32_t *>(malloc_shared(size_ * sizeof(int), dev, ctxt));
+  memset(pActualOutputs_, 0, sizeof(uint32_t) * size_);
+
+  pExpectOutputs_ =
+      static_cast<uint32_t *>(malloc_shared(size_ * sizeof(int), dev, ctxt));
+  memcpy(pExpectOutputs_, pInputs_, sizeof(uint32_t) * size_);
+}
+
+void BitonicSort::RunActual() { Solve(pInputs_, pActualOutputs_, size_); }
+
+void BitonicSort::RunExpect() {
+  std::sort(pExpectOutputs_, pExpectOutputs_ + size_);
+}
+
+bool BitonicSort::Validate() {
+  for (uint32_t i = 0; i < size_; ++i) {
+    if (pExpectOutputs_[i] != pActualOutputs_[i]) {
+      cout << "Difference is detected at i= " << i
+           << " Expect = " << pExpectOutputs_[i]
+           << " Actual = " << pActualOutputs_[i] << std::endl;
+      return false;
+    }
+  }
+  return true;
+}
+
+int BitonicSort::Solve(uint32_t *pInputs, uint32_t *pOutputs, uint32_t size) {
+  uint32_t width, height; // thread space width and height
+  uint32_t total_threads = size / base_sort_size_;
+  // create ranges
+  // We need that many workitems
+  auto SortGlobalRange = sycl::range<1>(total_threads);
+  // Number of workitems in a workgroup
+  sycl::range<1> SortLocalRange{1};
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+  const bool profiling =
+      pQueue_->has_property<sycl::property::queue::enable_profiling>();
+
+  // Launches the task on the GPU.
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+
+  // Reducing number of iterations for esimd_emulator backend in order
+  // to avoid timeout failure
+  if (pQueue_->get_backend() == sycl::backend::ext_intel_esimd_emulator) {
+    num_iters = 2;
+  }
+
+  // num_iters + 1, iteration#0 is for warmup
+  for (int iter = 0; iter <= num_iters; ++iter) {
+    // enqueue sort265 kernel
+    try {
+      auto e = pQueue_->submit([&](handler &cgh) {
+        cgh.parallel_for<class Sort256>(
+            SortGlobalRange * SortLocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+              cmk_bitonic_sort_256(pInputs, pOutputs, i);
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel1 time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+    } catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return 0;
+    }
+
+    // Each HW thread swap two 256-element chunks. Hence, we only need
+    // to launch size/ (base_sort_size*2) HW threads
+    total_threads = size / (base_sort_size_ * 2);
+    // create ranges
+    // We need that many workitems
+    auto MergeGlobalRange = sycl::range<1>(total_threads);
+    // Number of workitems in a workgroup
+    sycl::range<1> MergeLocalRange{1};
+
+    // enqueue merge kernel multiple times
+    // this loop is for stage 8 to stage LOG2_ELEMENTS.
+    event mergeEvent[(LOG2_ELEMENTS - 8) * (LOG2_ELEMENTS - 7) / 2];
+    int k = 0;
+    try {
+      for (int i = 8; i < LOG2_ELEMENTS; i++) {
+        // each step halves the stride distance of its prior step.
+        // 1<<j is the stride distance that the invoked step will handle.
+        // The recursive steps continue until stride distance 1 is complete.
+        // For stride distance less than 1<<8, no global synchronization
+        // is needed, i.e., all work can be done locally within HW threads.
+        // Hence, the invocation of j==8 cmk_bitonic_merge finishes stride 256
+        // compare-and-swap and then performs stride 128, 64, 32, 16, 8, 4, 2, 1
+        // locally.
+        for (int j = i; j >= 8; j--) {
+          mergeEvent[k] = pQueue_->submit([&](handler &cgh) {
+            cgh.parallel_for<class Merge>(
+                MergeGlobalRange * MergeLocalRange,
+                [=](id<1> tid) SYCL_ESIMD_KERNEL {
+                  using namespace sycl::ext::intel::esimd;
+                  cmk_bitonic_merge(pOutputs, j, i, tid);
+                });
+          });
+          // mergeEvent[k].wait();
+          k++;
+        }
+      }
+    } catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return 0;
+    }
+
+    mergeEvent[k - 1].wait();
+    if (profiling) {
+      double etime = esimd_test::report_time("kernel2 time", mergeEvent[0],
+                                             mergeEvent[k - 1]);
+      if (iter > 0)
+        kernel_times += etime;
+    }
+    if (iter == 0)
+      start = timer.Elapsed();
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+  return 1;
+}
+
+void BitonicSort::Teardown() {
+  auto ctxt = pQueue_->get_context();
+  free(pExpectOutputs_, ctxt);
+  free(pInputs_, ctxt);
+  free(pActualOutputs_, ctxt);
+  free(pSortDirections_, ctxt);
+}
+
+int main(int argc, char *argv[]) {
+  int size = 1 << LOG2_ELEMENTS;
+  cout << "BitonicSort (" << size << ") Start..." << std::endl;
+
+  queue q = esimd_test::createQueue(/*inOrder*/ true);
+
+  BitonicSort bitonicSort;
+
+  bool passed = bitonicSort.Run(&q, size);
+
+  bitonicSort.Teardown();
+
+  cout << (passed ? "=> PASSED" : "=> FAILED") << std::endl << std::endl;
+
+  return !passed;
+}
diff --git a/sycl/test-e2e/ESIMD/PrefixSum.cpp b/sycl/test-e2e/ESIMD/PrefixSum.cpp
new file mode 100644
index 0000000000000..e363fecf40e67
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/PrefixSum.cpp
@@ -0,0 +1,428 @@
+//==----------- PrefixSum.cpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 20
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define MAX_TS_WIDTH 1024
+// kernel can handle TUPLE_SZ 1, 2, or 4
+#define TUPLE_SZ 1
+
+#if TUPLE_SZ == 1
+#define GATHER_SCATTER_MASK rgba_channel_mask::R
+#elif TUPLE_SZ == 2
+#define GATHER_SCATTER_MASK rgba_channel_mask::GR
+#elif TUPLE_SZ == 4
+#define GATHER_SCATTER_MASK rgba_channel_mask::ABGR
+#endif
+
+#define LOG_ENTRIES 8
+#define PREFIX_ENTRIES (1 << LOG_ENTRIES)
+#define PREFIX_ENTRIES_LOW 32
+#define ENTRIES_THRESHOLD 2048
+// minimum number of threads to launch a kernel (power of 2)
+#define MIN_NUM_THREADS 1
+#define REMAINING_ENTRIES 64
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+void compute_local_prefixsum(unsigned int prefixSum[], unsigned int size,
+                             unsigned elem_stride, unsigned thread_stride) {
+
+  unsigned entry_per_thread = thread_stride / elem_stride;
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += thread_stride) {
+    memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+    for (int i = 0; i < entry_per_thread; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] +=
+            prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+      }
+    }
+    // store local_sum in the last entry
+    memcpy(&prefixSum[(k + entry_per_thread * elem_stride - 1) * TUPLE_SZ],
+           local_sum, TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void compute_local_prefixsum_remaining(unsigned int prefixSum[],
+                                       unsigned int size,
+                                       unsigned elem_stride) {
+
+  unsigned local_sum[TUPLE_SZ];
+  memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+  for (int i = 0; i < size / elem_stride; i++) {
+    for (int j = 0; j < TUPLE_SZ; j++) {
+      local_sum[j] += prefixSum[((i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+    }
+    // update every elem_stride entry
+    memcpy(&prefixSum[((i + 1) * elem_stride - 1) * TUPLE_SZ], local_sum,
+           TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void compute_prefixsum_up(unsigned int prefixSum[], unsigned int size,
+                          unsigned elem_stride, unsigned thread_stride) {
+  unsigned entry_per_thread = thread_stride / elem_stride;
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += thread_stride) {
+    if (k == 0)
+      memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+    else // get the last entry from previous chunk
+      memcpy(local_sum, &prefixSum[(k - 1) * TUPLE_SZ],
+             TUPLE_SZ * sizeof(unsigned));
+
+    // no need to update the last entry
+    // the last entry has the correct value computed by compute_local_prefixsum
+    for (int i = 0; i < entry_per_thread - 1; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] +=
+            prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+      }
+      memcpy(&prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ], local_sum,
+             TUPLE_SZ * sizeof(unsigned));
+    }
+  }
+}
+
+void compute_prefixsum(unsigned int input[], unsigned int prefixSum[],
+                       unsigned int size) {
+
+  for (int j = 0; j < TUPLE_SZ; j++) // init first entry
+    prefixSum[j] = input[j];
+
+  for (int i = 1; i < size; i++) {
+    for (int j = 0; j < TUPLE_SZ; j++) {
+      prefixSum[i * TUPLE_SZ + j] =
+          input[i * TUPLE_SZ + j] + prefixSum[(i - 1) * TUPLE_SZ + j];
+    }
+  }
+}
+
+void cmk_acum_iterative(unsigned *buf, unsigned h_pos,
+                        unsigned int stride_elems, unsigned int stride_threads,
+                        unsigned n_entries) {
+
+  simd<unsigned int, 32> element_offset(0, 1); // 0, 1, 2, ..., 31
+
+  // global offset for a thread
+  unsigned int global_offset = (h_pos * stride_threads * TUPLE_SZ);
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  element_offset =
+      (((element_offset + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  simd<unsigned int, 32 * TUPLE_SZ> S, T;
+
+#pragma unroll
+  for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+    S.select<32, TUPLE_SZ>(i) =
+        gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+  }
+
+#pragma unroll
+  for (int j = 1; j < n_entries / 32; j++) {
+    element_offset += (stride_elems * 32 * TUPLE_SZ) * sizeof(unsigned);
+#pragma unroll
+    for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+      T.select<32, TUPLE_SZ>(i) =
+          gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+    }
+    S += T;
+  }
+
+  auto cnt_table = S.bit_cast_view<unsigned int, 32, TUPLE_SZ>();
+  // sum reduction for each bin
+  cnt_table.select<16, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<16, 1, TUPLE_SZ, 1>(16, 0);
+  cnt_table.select<8, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<8, 1, TUPLE_SZ, 1>(8, 0);
+  cnt_table.select<4, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<4, 1, TUPLE_SZ, 1>(4, 0);
+  cnt_table.select<2, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<2, 1, TUPLE_SZ, 1>(2, 0);
+  cnt_table.select<1, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<1, 1, TUPLE_SZ, 1>(1, 0);
+
+  simd<unsigned, 8> voff(0, 1);     // 0, 1, 2, 3
+  simd_mask<8> p = voff < TUPLE_SZ; // predicate
+  voff = (voff + (global_offset + stride_threads * TUPLE_SZ - TUPLE_SZ)) *
+         sizeof(unsigned);
+  scatter<unsigned, 8>(buf, voff, S.select<8, 1>(0), p);
+}
+
+// final reduction. One thread to compute prefix all remaining entries
+void cmk_acum_final(unsigned *buf, unsigned h_pos, unsigned int stride_elems,
+                    unsigned remaining) {
+  simd<unsigned, 32> elm32(0, 1);
+
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  simd<unsigned, 32> element_offset =
+      (((elm32 + 1) * stride_elems - 1) * TUPLE_SZ) * sizeof(unsigned);
+
+  simd<unsigned, 32 * TUPLE_SZ> S;
+  simd<unsigned, TUPLE_SZ> prev = 0;
+  for (unsigned i = 0; i < remaining; i += 32) {
+
+    simd_mask<32> p = elm32 < remaining;
+
+    S = gather_rgba<GATHER_SCATTER_MASK>(buf, element_offset, p);
+
+    auto cnt_table = S.bit_cast_view<unsigned int, TUPLE_SZ, 32>();
+    cnt_table.column(0) += prev;
+#pragma unroll
+    for (unsigned j = 0; j < TUPLE_SZ; j++) {
+      // step 1
+      cnt_table.select<1, 1, 16, 2>(j, 1) +=
+          cnt_table.select<1, 1, 16, 2>(j, 0);
+      // step 2
+      cnt_table.select<1, 1, 8, 4>(j, 2) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      cnt_table.select<1, 1, 8, 4>(j, 3) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      // step 3
+      cnt_table.select<1, 1, 4, 1>(j, 4) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 3);
+      cnt_table.select<1, 1, 4, 1>(j, 12) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 11);
+      cnt_table.select<1, 1, 4, 1>(j, 20) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 19);
+      cnt_table.select<1, 1, 4, 1>(j, 28) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 27);
+      // step 4
+      cnt_table.select<1, 1, 8, 1>(j, 8) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 7);
+      cnt_table.select<1, 1, 8, 1>(j, 24) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 23);
+      // step 5
+      cnt_table.select<1, 1, 16, 1>(j, 16) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 16, 0>(j, 15);
+    }
+    scatter_rgba<GATHER_SCATTER_MASK>(buf, element_offset, S, p);
+    elm32 += 32;
+    element_offset += stride_elems * TUPLE_SZ * sizeof(unsigned) * 32;
+    prev = cnt_table.column(31);
+  }
+}
+
+void cmk_prefix_iterative(unsigned *buf, unsigned h_pos,
+                          unsigned int stride_elems, unsigned stride_thread,
+                          unsigned n_entries) {
+  simd<unsigned, 32> elm32(0, 1);
+
+  unsigned global_offset = h_pos * stride_thread * TUPLE_SZ;
+
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  simd<unsigned, 32> element_offset =
+      (((elm32 + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  // read the accumulated sum from its previous chunk
+  simd<unsigned, TUPLE_SZ> prev = 0;
+  if (h_pos == 0)
+    prev = 0;
+  else {
+    // WA gather does not take less than 8
+    // simd<unsigned, TUPLE_SZ> rd_off(0,1);  // 0, 1, 2, 3
+    simd<unsigned, 8> rd_off(0, 1);
+    rd_off += (global_offset - TUPLE_SZ);
+    simd<unsigned, 8> temp;
+    temp = gather<unsigned, 8>(buf, rd_off * sizeof(unsigned));
+    prev = temp.select<TUPLE_SZ, 1>(0);
+  }
+
+  simd<unsigned, 32 * TUPLE_SZ> S;
+  unsigned n_iter = n_entries / 32;
+  for (unsigned i = 0; i < n_iter; i++) {
+
+    S = gather_rgba<GATHER_SCATTER_MASK>(buf, element_offset);
+
+    auto cnt_table = S.bit_cast_view<unsigned int, TUPLE_SZ, 32>();
+    cnt_table.column(0) += prev;
+#pragma unroll
+    for (unsigned j = 0; j < TUPLE_SZ; j++) {
+      // step 1
+      cnt_table.select<1, 1, 16, 2>(j, 1) +=
+          cnt_table.select<1, 1, 16, 2>(j, 0);
+      // step 2
+      cnt_table.select<1, 1, 8, 4>(j, 2) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      cnt_table.select<1, 1, 8, 4>(j, 3) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      // step 3
+      cnt_table.select<1, 1, 4, 1>(j, 4) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 3);
+      cnt_table.select<1, 1, 4, 1>(j, 12) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 11);
+      cnt_table.select<1, 1, 4, 1>(j, 20) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 19);
+      cnt_table.select<1, 1, 4, 1>(j, 28) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 27);
+      // step 4
+      cnt_table.select<1, 1, 8, 1>(j, 8) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 7);
+      cnt_table.select<1, 1, 8, 1>(j, 24) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 23);
+      // step 5
+      cnt_table.select<1, 1, 16, 1>(j, 16) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 16, 0>(j, 15);
+    }
+
+    // during reduction phase, we've already computed prefix sum and saved in
+    // the last entry. Here we avoid double counting the last entry
+    if (i == n_iter - 1)
+      cnt_table.column(31) -= cnt_table.column(30);
+
+    scatter_rgba<GATHER_SCATTER_MASK>(buf, element_offset, S);
+
+    element_offset += stride_elems * TUPLE_SZ * sizeof(unsigned) * 32;
+    prev = cnt_table.column(31);
+  }
+}
+
+void hierarchical_prefix(queue &q, unsigned *buf, unsigned elem_stride,
+                         unsigned thrd_stride, unsigned n_entries,
+                         unsigned entry_per_th) {
+  try {
+    if (n_entries <= REMAINING_ENTRIES) {
+      std::cout << "... n_entries: " << n_entries
+                << " elem_stide: " << elem_stride
+                << " thread_stride: " << thrd_stride
+                << " entry per thread: " << entry_per_th << std::endl;
+      // one single thread
+      q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_final>(
+            range<2>{1, 1} * range<2>{1, 1}, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_final(buf, it.get_id(0), elem_stride, n_entries);
+            });
+      });
+      return;
+    }
+
+    std::cout << "*** n_entries: " << n_entries
+              << " elem_stide: " << elem_stride
+              << " thread_stride: " << thrd_stride
+              << " entry per thread: " << entry_per_th << std::endl;
+
+    if (entry_per_th == PREFIX_ENTRIES) {
+      q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_iterative1>(
+            range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                                 PREFIX_ENTRIES);
+            });
+      });
+    } else {
+      q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_iterative2>(
+            range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                                 PREFIX_ENTRIES_LOW);
+            });
+      });
+    }
+
+    // if number of remaining entries <= 4K , each thread  accumulates smaller
+    // number of entries to keep EUs saturated
+    if (n_entries / entry_per_th > 4096)
+      hierarchical_prefix(q, buf, thrd_stride, thrd_stride * PREFIX_ENTRIES,
+                          n_entries / entry_per_th, PREFIX_ENTRIES);
+    else
+      hierarchical_prefix(q, buf, thrd_stride, thrd_stride * PREFIX_ENTRIES_LOW,
+                          n_entries / entry_per_th, PREFIX_ENTRIES_LOW);
+
+    std::cout << "=== n_entries: " << n_entries
+              << " elem_stide: " << elem_stride
+              << " thread_stride: " << thrd_stride
+              << " entry per thread: " << entry_per_th << std::endl;
+
+    if (entry_per_th == PREFIX_ENTRIES) {
+      q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Prefix_iterative1>(
+            range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_prefix_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                                   PREFIX_ENTRIES);
+            });
+      });
+    } else {
+      q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Prefix_iterative2>(
+            range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_prefix_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                                   PREFIX_ENTRIES_LOW);
+            });
+      });
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+  }
+}
+
+//************************************
+// Demonstrate summation of arrays both in scalar on CPU and parallel on device
+//************************************
+int main(int argc, char *argv[]) {
+
+  unsigned int *pInputs;
+  if (argc < 2) {
+    std::cout << "Usage: prefix [N]. N is 2^N entries x TUPLE_SZ" << std::endl;
+    exit(1);
+  }
+  unsigned log2_element = atoi(argv[1]);
+  unsigned int size = 1 << log2_element;
+
+  sycl::range<2> LocalRange{1, 1};
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler(),
+          property::queue::in_order());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  // allocate and initialized input
+  pInputs = static_cast<unsigned int *>(
+      malloc_shared(size * TUPLE_SZ * sizeof(unsigned int), dev, ctxt));
+  for (unsigned int i = 0; i < size * TUPLE_SZ; ++i) {
+    pInputs[i] = rand() % 128;
+  }
+
+  // allocate & compute expected result
+  unsigned int *pExpectOutputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+
+  compute_prefixsum(pInputs, pExpectOutputs, size);
+
+  hierarchical_prefix(q, pInputs, 1, PREFIX_ENTRIES, size, PREFIX_ENTRIES);
+  q.wait();
+
+  bool pass = memcmp(pInputs, pExpectOutputs,
+                     size * TUPLE_SZ * sizeof(unsigned int)) == 0;
+
+  std::cout << "Prefix " << (pass ? "=> PASSED" : "=> FAILED") << std::endl
+            << std::endl;
+
+  free(pInputs, ctxt);
+  free(pExpectOutputs);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/Prefix_Local_sum1.cpp b/sycl/test-e2e/ESIMD/Prefix_Local_sum1.cpp
new file mode 100644
index 0000000000000..b24e19bf66a49
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/Prefix_Local_sum1.cpp
@@ -0,0 +1,204 @@
+//==------- Prefix_Local_sum1.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 20
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define MAX_TS_WIDTH 1024
+// kernel can handle TUPLE_SZ 1, 2, or 4
+#define TUPLE_SZ 1
+
+#if TUPLE_SZ == 1
+#define GATHER_SCATTER_MASK rgba_channel_mask::R
+#elif TUPLE_SZ == 2
+#define GATHER_SCATTER_MASK rgba_channel_mask::GR
+#elif TUPLE_SZ == 4
+#define GATHER_SCATTER_MASK rgba_channel_mask::ABGR
+#endif
+
+#define PREFIX_ENTRIES 256
+#define PREFIX_ENTRIES_LOW 32
+#define ENTRIES_THRESHOLD 2048
+// minimum number of threads to launch a kernel (power of 2)
+#define MIN_NUM_THREADS 1
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+void compute_local_prefixsum(const unsigned int input[],
+                             unsigned int prefixSum[], unsigned int size) {
+
+  memcpy(prefixSum, input, size * TUPLE_SZ * sizeof(unsigned));
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += PREFIX_ENTRIES) {
+    memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+    for (int i = 0; i < PREFIX_ENTRIES; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] += input[(k + i) * TUPLE_SZ + j];
+      }
+    }
+    // store local_sum in the last entry
+    memcpy(&prefixSum[(k + PREFIX_ENTRIES - 1) * TUPLE_SZ], local_sum,
+           TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+// Local count : the local count stage partitions the table into chunks.
+// Each chunk is 256*TUPLE_SZ.Each HW thread sums up values for each column
+// within one chunk and stores the results in the last entry of the chunk
+// All data chunks can be executed in parallel in this stage.
+void cmk_sum_tuple_count(unsigned int *buf, unsigned int h_pos) {
+  // h_pos indicates which 256-element chunk the kernel is processing
+
+  // each thread handles PREFIX_ENTRIES entries. Each entry has 4 bins
+  unsigned int offset = h_pos * PREFIX_ENTRIES * TUPLE_SZ;
+
+  simd<unsigned, 32 * TUPLE_SZ> S, T;
+#pragma unroll
+  for (int i = 0; i < TUPLE_SZ; i++) {
+    simd<unsigned, 32> data;
+    data.copy_from(buf + offset + i * 32);
+    S.select<32, 1>(i * 32) = data;
+  }
+
+#pragma unroll
+  for (int i = 1; i < PREFIX_ENTRIES / 32; i++) {
+#pragma unroll
+    for (int j = 0; j < TUPLE_SZ; j++) {
+      simd<unsigned, 32> data;
+      data.copy_from(buf + offset + i * 32 * TUPLE_SZ + j * 32);
+      T.select<32, 1>(j * 32) = data;
+    }
+    S += T;
+  }
+
+  // format S to be a 32xTUPLE_SZ matrix
+  auto cnt_table = S.bit_cast_view<unsigned int, 32, TUPLE_SZ>();
+  // sum reduction for each bin
+  cnt_table.select<16, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<16, 1, TUPLE_SZ, 1>(16, 0);
+  cnt_table.select<8, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<8, 1, TUPLE_SZ, 1>(8, 0);
+  cnt_table.select<4, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<4, 1, TUPLE_SZ, 1>(4, 0);
+  cnt_table.select<2, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<2, 1, TUPLE_SZ, 1>(2, 0);
+  cnt_table.select<1, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<1, 1, TUPLE_SZ, 1>(1, 0);
+
+  simd<unsigned, 8> voff(0, 1);        // 0, 1, 2, 3
+  simd_mask<8> p = voff < TUPLE_SZ;    // predicate
+  voff = (voff + ((h_pos + 1) * PREFIX_ENTRIES * TUPLE_SZ - TUPLE_SZ)) *
+         sizeof(unsigned);
+  scatter<unsigned, 8>(buf, voff, S.select<8, 1>(0), p);
+}
+
+//************************************
+// Demonstrate summation of arrays both in scalar on CPU and parallel on device
+// This is a ULT test variant of PrefixSum kernel with different implementation
+// to increase test coverage of different usage cases and help isolate bugs.
+// Difference from PrefixSum kernel:
+// - Use copy_from<>() to read in data
+// - Use scatter<>() to write output
+//************************************
+int main(int argc, char *argv[]) {
+
+  if (argc < 2) {
+    std::cout << "Usage: prefix [N]. N is 2^N entries x TUPLE_SZ" << std::endl;
+    exit(1);
+  }
+  unsigned log2_element = atoi(argv[1]);
+  unsigned int size = 1 << log2_element;
+
+  sycl::range<2> LocalRange{1, 1};
+
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  // allocate and initialized input
+  unsigned int *pInputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+  for (unsigned int i = 0; i < size * TUPLE_SZ; ++i) {
+    pInputs[i] = rand() % 128;
+  }
+
+  // allocate device buffer
+  unsigned int *pDeviceOutputs =
+      malloc_shared<unsigned int>(size * TUPLE_SZ, q);
+
+  // allocate & compute expected result
+  unsigned int *pExpectOutputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+  compute_local_prefixsum(pInputs, pExpectOutputs, size);
+
+  // compute local sum for every chunk of PREFIX_ENTRIES
+  sycl::range<2> GlobalRange{size / PREFIX_ENTRIES, 1};
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      memcpy(pDeviceOutputs, pInputs, size * TUPLE_SZ * sizeof(unsigned int));
+      auto e0 = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Sum_tuple>(
+            GlobalRange * LocalRange, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_sum_tuple_count(pDeviceOutputs, it.get_id(0));
+            });
+      });
+      e0.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e0, e0);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(pDeviceOutputs, q);
+    free(pExpectOutputs);
+    free(pInputs);
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  bool pass = memcmp(pDeviceOutputs, pExpectOutputs,
+                     size * TUPLE_SZ * sizeof(unsigned int)) == 0;
+  std::cout << "Prefix " << (pass ? "=> PASSED" : "=> FAILED") << std::endl
+            << std::endl;
+
+  free(pDeviceOutputs, q);
+  free(pExpectOutputs);
+  free(pInputs);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/Prefix_Local_sum2.cpp b/sycl/test-e2e/ESIMD/Prefix_Local_sum2.cpp
new file mode 100644
index 0000000000000..b87b9fca5ff4a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/Prefix_Local_sum2.cpp
@@ -0,0 +1,198 @@
+//==------- Prefix_Local_sum2.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 20
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define MAX_TS_WIDTH 1024
+// kernel can handle TUPLE_SZ 1, 2, or 4
+#define TUPLE_SZ 4
+
+#if TUPLE_SZ == 1
+#define GATHER_SCATTER_MASK rgba_channel_mask::R
+#elif TUPLE_SZ == 2
+#define GATHER_SCATTER_MASK rgba_channel_mask::GR
+#elif TUPLE_SZ == 4
+#define GATHER_SCATTER_MASK rgba_channel_mask::ABGR
+#endif
+
+#define PREFIX_ENTRIES 256
+#define PREFIX_ENTRIES_LOW 32
+#define ENTRIES_THRESHOLD 2048
+// minimum number of threads to launch a kernel (power of 2)
+#define MIN_NUM_THREADS 1
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+void compute_local_prefixsum(const unsigned int input[],
+                             unsigned int prefixSum[], unsigned int size) {
+
+  memcpy(prefixSum, input, size * TUPLE_SZ * sizeof(unsigned));
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += PREFIX_ENTRIES) {
+    memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+    for (int i = 0; i < PREFIX_ENTRIES; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] += input[(k + i) * TUPLE_SZ + j];
+      }
+    }
+    // store local_sum in the last entry
+    memcpy(&prefixSum[(k + PREFIX_ENTRIES - 1) * TUPLE_SZ], local_sum,
+           TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void cmk_acum_iterative(unsigned *buf, unsigned h_pos,
+                        unsigned int stride_elems,
+                        unsigned int stride_threads) {
+
+  simd<unsigned int, 32> element_offset(0, 1); // 0, 1, 2, ..., 31
+
+  // global offset for a thread
+  unsigned int global_offset = (h_pos * stride_threads * TUPLE_SZ);
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  element_offset =
+      (((element_offset + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  simd<unsigned int, 32 * TUPLE_SZ> S, T;
+
+  S = gather_rgba<GATHER_SCATTER_MASK>(buf, element_offset);
+
+#pragma unroll
+  for (int i = 1; i < PREFIX_ENTRIES / 32; i++) {
+    element_offset += (stride_elems * 32 * TUPLE_SZ) * sizeof(unsigned);
+    // scattered read, each inst reads 16 entries
+    T = gather_rgba<GATHER_SCATTER_MASK>(buf, element_offset);
+    S += T;
+  }
+
+  auto cnt_table = S.bit_cast_view<unsigned int, TUPLE_SZ, 32>();
+
+  simd<unsigned, TUPLE_SZ> sum;
+#pragma unroll
+  for (int i = 0; i < TUPLE_SZ; i++) {
+    simd<unsigned, 32> t = cnt_table.row(i);
+    sum.select<1, 1>(i) = reduce<int>(t, std::plus<>());
+  }
+
+  simd<unsigned, 8> result = 0;
+  result.select<TUPLE_SZ, 1>(0) = sum;
+  simd<unsigned, 8> voff(0, 1);     // 0, 1, 2, 3
+  simd_mask<8> p = voff < TUPLE_SZ; // predicate
+  voff = (voff + (global_offset + stride_threads * TUPLE_SZ - TUPLE_SZ)) *
+         sizeof(unsigned);
+  scatter<unsigned, 8>(buf, voff, result, p);
+}
+
+//************************************
+// Demonstrate summation of arrays both in scalar on CPU and parallel on device
+// This is a ULT test variant of PrefixSum kernel with different implementation
+// to increase test coverage of different usage cases and help isolate bugs.
+// Difference from PrefixSum kernel:
+// - Use gather4<>() to read in data
+// - Use bit_cast_view<>() to convert a 1D vector to 2D matrix view
+// - Use reduce<int>(t, std::plus<>()) to do reduction
+//************************************
+int main(int argc, char *argv[]) {
+
+  if (argc < 2) {
+    std::cout << "Usage: prefix [N]. N is 2^N entries x TUPLE_SZ" << std::endl;
+    exit(1);
+  }
+  unsigned log2_element = atoi(argv[1]);
+  unsigned int size = 1 << log2_element;
+
+  sycl::range<2> LocalRange{1, 1};
+
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  // allocate and initialized input
+  unsigned int *pInputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+  for (unsigned int i = 0; i < size * TUPLE_SZ; ++i) {
+    pInputs[i] = rand() % 128;
+  }
+
+  // allocate device buffer
+  unsigned int *pDeviceOutputs =
+      malloc_shared<unsigned int>(size * TUPLE_SZ, q);
+
+  // allocate & compute expected result
+  unsigned int *pExpectOutputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+  compute_local_prefixsum(pInputs, pExpectOutputs, size);
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      memcpy(pDeviceOutputs, pInputs, size * TUPLE_SZ * sizeof(unsigned int));
+      auto e1 = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_iterative>(
+            range<2>{size / PREFIX_ENTRIES, 1} * LocalRange,
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_iterative(pDeviceOutputs, it.get_id(0), 1,
+                                 PREFIX_ENTRIES);
+            });
+      });
+      e1.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e1, e1);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(pDeviceOutputs, q);
+    free(pExpectOutputs);
+    free(pInputs);
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  bool pass = memcmp(pDeviceOutputs, pExpectOutputs,
+                     size * TUPLE_SZ * sizeof(unsigned int)) == 0;
+  std::cout << "Prefix " << (pass ? "=> PASSED" : "=> FAILED") << std::endl
+            << std::endl;
+
+  free(pDeviceOutputs, q);
+  free(pExpectOutputs);
+  free(pInputs);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/Prefix_Local_sum3.cpp b/sycl/test-e2e/ESIMD/Prefix_Local_sum3.cpp
new file mode 100644
index 0000000000000..ef9ef29dadb45
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/Prefix_Local_sum3.cpp
@@ -0,0 +1,400 @@
+//==------- Prefix_Local_sum3.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define MAX_TS_WIDTH 1024
+// kernel can handle TUPLE_SZ 1, 2, or 4
+#define TUPLE_SZ 2
+
+#if TUPLE_SZ == 1
+#define GATHER_SCATTER_MASK rgba_channel_mask::R
+#elif TUPLE_SZ == 2
+#define GATHER_SCATTER_MASK rgba_channel_mask::GR
+#elif TUPLE_SZ == 4
+#define GATHER_SCATTER_MASK rgba_channel_mask::ABGR
+#endif
+
+#define LOG_ENTRIES 8
+#define PREFIX_ENTRIES (1 << LOG_ENTRIES)
+#define PREFIX_ENTRIES_LOW 32
+#define ENTRIES_THRESHOLD 2048
+// minimum number of threads to launch a kernel (power of 2)
+#define MIN_NUM_THREADS 1
+#define REMAINING_ENTRIES 64
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+void compute_local_prefixsum(unsigned int prefixSum[], unsigned int size,
+                             unsigned elem_stride, unsigned thread_stride,
+                             unsigned entry_per_thread) {
+
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += thread_stride) {
+    memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+    for (int i = 0; i < entry_per_thread; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] +=
+            prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+      }
+    }
+    // store local_sum in the last entry
+    memcpy(&prefixSum[(k + entry_per_thread * elem_stride - 1) * TUPLE_SZ],
+           local_sum, TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void compute_local_prefixsum_remaining(unsigned int prefixSum[],
+                                       unsigned int size,
+                                       unsigned elem_stride) {
+
+  unsigned local_sum[TUPLE_SZ];
+  memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+  for (int i = 0; i < size / elem_stride; i++) {
+    for (int j = 0; j < TUPLE_SZ; j++) {
+      local_sum[j] += prefixSum[((i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+    }
+    // update every elem_stride entry
+    memcpy(&prefixSum[((i + 1) * elem_stride - 1) * TUPLE_SZ], local_sum,
+           TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void cmk_acum_iterative(unsigned *buf, unsigned h_pos,
+                        unsigned int stride_elems,
+                        unsigned int stride_threads) {
+
+  simd<unsigned int, 32> element_offset(0, 1); // 0, 1, 2, ..., 31
+
+  // global offset for a thread
+  unsigned int global_offset = (h_pos * stride_threads * TUPLE_SZ);
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  element_offset =
+      (((element_offset + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  simd<unsigned int, 32 * TUPLE_SZ> S, T;
+
+#pragma unroll
+  for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+    S.select<32, TUPLE_SZ>(i) =
+        gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+  }
+
+#pragma unroll
+  for (int j = 1; j < PREFIX_ENTRIES / 32; j++) {
+    element_offset += (stride_elems * 32 * TUPLE_SZ) * sizeof(unsigned);
+#pragma unroll
+    for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+      T.select<32, TUPLE_SZ>(i) =
+          gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+    }
+    S += T;
+  }
+
+  auto cnt_table = S.bit_cast_view<unsigned int, 32, TUPLE_SZ>();
+  // sum reduction for each bin
+  cnt_table.select<16, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<16, 1, TUPLE_SZ, 1>(16, 0);
+  cnt_table.select<8, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<8, 1, TUPLE_SZ, 1>(8, 0);
+  cnt_table.select<4, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<4, 1, TUPLE_SZ, 1>(4, 0);
+  cnt_table.select<2, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<2, 1, TUPLE_SZ, 1>(2, 0);
+  cnt_table.select<1, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<1, 1, TUPLE_SZ, 1>(1, 0);
+
+  simd<unsigned, 8> voff(0, 1);     // 0, 1, 2, 3
+  simd_mask<8> p = voff < TUPLE_SZ; // predicate
+  voff = (voff + (global_offset + stride_threads * TUPLE_SZ - TUPLE_SZ)) *
+         sizeof(unsigned);
+  scatter<unsigned, 8>(buf, voff, S.select<8, 1>(0), p);
+}
+
+void cmk_acum_iterative_low(unsigned *buf, unsigned h_pos,
+                            unsigned int stride_elems,
+                            unsigned int stride_threads) {
+  simd<unsigned, 32> element_offset(0, 1); // 0, 1, 2, ..., 31
+
+  // global offset for a thread
+  unsigned int global_offset = (h_pos * stride_threads * TUPLE_SZ);
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  element_offset =
+      (((element_offset + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  simd<unsigned int, 32 * TUPLE_SZ> S, T;
+
+#pragma unroll
+  for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+    S.select<32, TUPLE_SZ>(i) =
+        gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+  }
+#pragma unroll
+  for (int j = 1; j < PREFIX_ENTRIES_LOW / 32; j++) {
+    element_offset += (stride_elems * 32 * TUPLE_SZ) * sizeof(unsigned);
+#pragma unroll
+    for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+      T.select<32, TUPLE_SZ>(i) =
+          gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+    }
+    S += T;
+  }
+
+  auto cnt_table = S.bit_cast_view<unsigned int, 32, TUPLE_SZ>();
+  // sum reduction for each bin
+  cnt_table.select<16, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<16, 1, TUPLE_SZ, 1>(16, 0);
+  cnt_table.select<8, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<8, 1, TUPLE_SZ, 1>(8, 0);
+  cnt_table.select<4, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<4, 1, TUPLE_SZ, 1>(4, 0);
+  cnt_table.select<2, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<2, 1, TUPLE_SZ, 1>(2, 0);
+  cnt_table.select<1, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<1, 1, TUPLE_SZ, 1>(1, 0);
+
+  simd<unsigned, 8> voff(0, 1);     // 0, 1, 2, 3
+  simd_mask<8> p = voff < TUPLE_SZ; // predicate
+  voff = (voff + (global_offset + stride_threads * TUPLE_SZ - TUPLE_SZ)) *
+         sizeof(unsigned);
+  scatter<unsigned, 8>(buf, voff, S.select<8, 1>(0), p);
+}
+
+// final reduction. One thread to compute prefix all remaining entries
+void cmk_acum_final(unsigned *buf, unsigned h_pos, unsigned int stride_elems,
+                    unsigned remaining) {
+  simd<unsigned, 32> elm32(0, 1);
+
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  simd<unsigned, 32> element_offset =
+      (((elm32 + 1) * stride_elems - 1) * TUPLE_SZ) * sizeof(unsigned);
+
+  simd<unsigned, 32 * TUPLE_SZ> S;
+  simd<unsigned, TUPLE_SZ> prev = 0;
+  for (unsigned i = 0; i < remaining; i += 32) {
+
+    simd_mask<32> p = elm32 < remaining;
+
+    S = gather_rgba<GATHER_SCATTER_MASK>(buf, element_offset, p);
+
+    auto cnt_table = S.bit_cast_view<unsigned int, TUPLE_SZ, 32>();
+    cnt_table.column(0) += prev;
+    for (unsigned j = 0; j < TUPLE_SZ; j++) {
+      // step 1
+      cnt_table.select<1, 1, 16, 2>(j, 1) +=
+          cnt_table.select<1, 1, 16, 2>(j, 0);
+      // step 2
+      cnt_table.select<1, 1, 8, 4>(j, 2) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      cnt_table.select<1, 1, 8, 4>(j, 3) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      // step 3
+      cnt_table.select<1, 1, 4, 1>(j, 4) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 3);
+      cnt_table.select<1, 1, 4, 1>(j, 12) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 11);
+      cnt_table.select<1, 1, 4, 1>(j, 20) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 19);
+      cnt_table.select<1, 1, 4, 1>(j, 28) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 27);
+      // step 4
+      cnt_table.select<1, 1, 8, 1>(j, 8) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 7);
+      cnt_table.select<1, 1, 8, 1>(j, 24) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 23);
+      // step 5
+      cnt_table.select<1, 1, 16, 1>(j, 16) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 16, 0>(j, 15);
+    }
+    scatter_rgba<GATHER_SCATTER_MASK>(buf, element_offset, S, p);
+    elm32 += 32;
+    element_offset += stride_elems * TUPLE_SZ * sizeof(unsigned) * 32;
+    prev = cnt_table.column(31);
+  }
+}
+
+double hierarchical_prefix(queue &q, unsigned *buf, unsigned elem_stride,
+                           unsigned thrd_stride, unsigned n_entries,
+                           unsigned entry_per_th) {
+  double kernel_times = 0;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+  try {
+    if (n_entries <= REMAINING_ENTRIES) {
+#ifdef DEBUG_DUMPS
+      std::cout << "... n_entries: " << n_entries
+                << " elem_stide: " << elem_stride
+                << " thread_stride: " << thrd_stride
+                << " entry per thread: " << entry_per_th << std::endl;
+#endif // DEBUG_DUMPS
+      // one single thread
+      auto e = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_final>(
+            range<2>{1, 1} * range<2>{1, 1}, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_final(buf, it.get_id(0), elem_stride, n_entries);
+            });
+      });
+      e.wait();
+      if (profiling)
+        kernel_times += esimd_test::report_time("kernel1 time", e, e);
+      return kernel_times;
+    }
+
+#ifdef DEBUG_DUMPS
+    std::cout << "*** n_entries: " << n_entries
+              << " elem_stide: " << elem_stride
+              << " thread_stride: " << thrd_stride
+              << " entry per thread: " << entry_per_th << std::endl;
+#endif // DEBUG_DUMPS
+
+    if (entry_per_th == PREFIX_ENTRIES) {
+      auto e = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_iterative1>(
+            range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_iterative(buf, it.get_id(0), elem_stride, thrd_stride);
+            });
+      });
+      e.wait();
+      if (profiling)
+        kernel_times += esimd_test::report_time("kernel2 time", e, e);
+    } else {
+      auto e = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Accum_iterative2>(
+            range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+            [=](item<2> it) SYCL_ESIMD_KERNEL {
+              cmk_acum_iterative_low(buf, it.get_id(0), elem_stride,
+                                     thrd_stride);
+            });
+      });
+      e.wait();
+      if (profiling)
+        kernel_times += esimd_test::report_time("kernel3 time", e, e);
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+  }
+
+  // if number of remaining entries <= 4K , each thread  accumulates smaller
+  // number of entries to keep EUs saturated
+  if (n_entries / entry_per_th > 4096)
+    kernel_times +=
+        hierarchical_prefix(q, buf, thrd_stride, thrd_stride * PREFIX_ENTRIES,
+                            n_entries / entry_per_th, PREFIX_ENTRIES);
+  else
+    kernel_times += hierarchical_prefix(
+        q, buf, thrd_stride, thrd_stride * PREFIX_ENTRIES_LOW,
+        n_entries / entry_per_th, PREFIX_ENTRIES_LOW);
+
+#ifdef DEBUG_DUMPS
+  std::cout << "=== n_entries: " << n_entries << " elem_stide: " << elem_stride
+            << " thread_stride: " << thrd_stride
+            << " entry per thread: " << entry_per_th << std::endl;
+#endif // DEBUG_DUMPS
+
+  return kernel_times;
+}
+
+//************************************
+// Demonstrate summation of arrays both in scalar on CPU and parallel on device
+// This is a ULT test variant of PrefixSum kernel with different implementation
+// to increase test coverage of different usage cases and help isolate bugs.
+// Difference from PrefixSum kernel:
+// - Use gather<>() and gather4<>() to read in data
+// - Use scatter<>() and scatter4<>() to write output
+//************************************
+int main(int argc, char *argv[]) {
+
+  unsigned log2_element = 26;
+  unsigned int size = 1 << log2_element;
+
+  sycl::range<2> LocalRange{1, 1};
+
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  // allocate and initialized input data
+  unsigned int *pInputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+  for (unsigned int i = 0; i < size * TUPLE_SZ; ++i) {
+    pInputs[i] = rand() % 128;
+  }
+
+  // allocate kernel buffer
+  unsigned int *pDeviceOutputs =
+      malloc_shared<unsigned int>(size * TUPLE_SZ, q);
+
+  // allocate & intialize expected result
+  unsigned int *pExpectOutputs = static_cast<unsigned int *>(
+      malloc(size * TUPLE_SZ * sizeof(unsigned int)));
+  memcpy(pExpectOutputs, pInputs, size * TUPLE_SZ * sizeof(unsigned));
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  for (int iter = 0; iter <= num_iters; ++iter) {
+    memcpy(pDeviceOutputs, pInputs, size * TUPLE_SZ * sizeof(unsigned));
+    double etime = hierarchical_prefix(q, pDeviceOutputs, 1, PREFIX_ENTRIES,
+                                       size, PREFIX_ENTRIES);
+    if (profiling && iter > 0)
+      kernel_times += etime;
+    if (iter == 0)
+      start = timer.Elapsed();
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  compute_local_prefixsum(pExpectOutputs, size, 1, PREFIX_ENTRIES,
+                          PREFIX_ENTRIES);
+  compute_local_prefixsum(pExpectOutputs, size, PREFIX_ENTRIES,
+                          PREFIX_ENTRIES * PREFIX_ENTRIES, PREFIX_ENTRIES);
+  compute_local_prefixsum(pExpectOutputs, size, PREFIX_ENTRIES * PREFIX_ENTRIES,
+                          PREFIX_ENTRIES * PREFIX_ENTRIES * PREFIX_ENTRIES_LOW,
+                          PREFIX_ENTRIES_LOW);
+  compute_local_prefixsum_remaining(pExpectOutputs, size,
+                                    PREFIX_ENTRIES * PREFIX_ENTRIES *
+                                        PREFIX_ENTRIES_LOW);
+
+  bool pass = memcmp(pDeviceOutputs, pExpectOutputs,
+                     size * TUPLE_SZ * sizeof(unsigned int)) == 0;
+  std::cout << "Prefix " << (pass ? "=> PASSED" : "=> FAILED") << std::endl
+            << std::endl;
+
+  free(pDeviceOutputs, q);
+  free(pExpectOutputs);
+  free(pInputs);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/README.md b/sycl/test-e2e/ESIMD/README.md
new file mode 100644
index 0000000000000..b03e12ba52571
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/README.md
@@ -0,0 +1,12 @@
+# Overview
+This directory contains ESIMD tests which are run on Intel GPU device only.
+Some of them can run on host device too, but in general it is not always
+possible as some of ESIMD APIs (e.g. memory access via accessors) is not
+implemented for the host device.
+
+Tests within this directory has additional preprocessor definitions available.
+
+`ESIMD_TESTS_FULL_COVERAGE` (default: not defined)\
+Enable extended coverage and testing logic with significantly increased
+compilation and execution time. Extensive tests could be run manually if needed,
+but do not affect CI performance for the basic functionality.
diff --git a/sycl/test-e2e/ESIMD/Stencil.cpp b/sycl/test-e2e/ESIMD/Stencil.cpp
new file mode 100644
index 0000000000000..cfacf75742d72
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/Stencil.cpp
@@ -0,0 +1,221 @@
+//==---------------- Stencil.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define WIDTH 16
+#define HEIGHT 16
+
+using namespace sycl;
+
+void InitializeSquareMatrix(float *matrix, size_t const Dim,
+                            bool const bSkipDataGeneration) {
+  memset(matrix, 0, Dim * Dim * sizeof(float));
+  if (!bSkipDataGeneration) {
+    for (unsigned int iRow = 0; iRow < Dim; ++iRow) {
+      for (unsigned int iCol = 0; iCol < Dim; ++iCol) {
+        matrix[iRow * Dim + iCol] = static_cast<float>(iRow + iCol);
+      }
+    }
+  }
+}
+
+bool CheckResults(float *out, float *in, unsigned n) {
+  for (unsigned int i = 0; i < n; i++) {
+    for (unsigned int j = 0; j < n; j++) {
+      if ((5 <= i) && (i < n - 5) && (5 <= j) && (j < n - 5)) {
+        float res = +in[(i - 5) * n + (j + 0)] * -0.02f +
+                    in[(i - 4) * n + (j + 0)] * -0.025f +
+                    in[(i - 3) * n + (j + 0)] * -0.0333333333333f +
+                    in[(i - 2) * n + (j + 0)] * -0.05f +
+                    in[(i - 1) * n + (j + 0)] * -0.1f +
+                    in[(i + 0) * n + (j - 5)] * -0.02f +
+                    in[(i + 0) * n + (j - 4)] * -0.025f +
+                    in[(i + 0) * n + (j - 3)] * -0.0333333333333f +
+                    in[(i + 0) * n + (j - 2)] * -0.05f +
+                    in[(i + 0) * n + (j - 1)] * -0.1f +
+                    in[(i + 0) * n + (j + 1)] * 0.1f +
+                    in[(i + 0) * n + (j + 2)] * 0.05f +
+                    in[(i + 0) * n + (j + 3)] * 0.0333333333333f +
+                    in[(i + 0) * n + (j + 4)] * 0.025f +
+                    in[(i + 0) * n + (j + 5)] * 0.02f +
+                    in[(i + 1) * n + (j + 0)] * 0.1f +
+                    in[(i + 2) * n + (j + 0)] * 0.05f +
+                    in[(i + 3) * n + (j + 0)] * 0.0333333333333f +
+                    in[(i + 4) * n + (j + 0)] * 0.025f +
+                    in[(i + 5) * n + (j + 0)] * 0.02f;
+
+        // check result
+        if (abs(res - out[i * n + j]) >= 0.0015f) {
+          std::cout << "out[" << i << "][" << j << "] = " << out[i * n + j]
+                    << " expect result " << res << std::endl;
+          return false;
+        }
+      }
+    }
+  }
+  return true;
+}
+
+int main(int argc, char *argv[]) {
+  if (argc > 2) {
+    std::cerr << "Usage: stencil.exe [dim_size]" << std::endl;
+    exit(1);
+  }
+  // Default dimension size is 1024
+  const unsigned DIM_SIZE = (argc == 2) ? atoi(argv[1]) : 1 << 10;
+  const unsigned SQUARE_SZ = DIM_SIZE * DIM_SIZE + 16;
+  uint range_width =
+      (DIM_SIZE - 10) / WIDTH + (((DIM_SIZE - 10) % WIDTH == 0) ? 0 : 1);
+  uint range_height =
+      (DIM_SIZE - 10) / HEIGHT + (((DIM_SIZE - 10) % HEIGHT == 0) ? 0 : 1);
+  sycl::range<2> GlobalRange{range_width, range_height};
+
+  std::cout << "width = " << range_width << " height = " << range_height
+            << std::endl;
+  sycl::range<2> LocalRange{1, 1};
+
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  auto ctxt = q.get_context();
+
+  // create and init matrices
+  float *inputMatrix =
+      static_cast<float *>(malloc_shared(SQUARE_SZ * sizeof(float), dev, ctxt));
+  float *outputMatrix =
+      static_cast<float *>(malloc_shared(SQUARE_SZ * sizeof(float), dev, ctxt));
+  InitializeSquareMatrix(inputMatrix, DIM_SIZE, false);
+  InitializeSquareMatrix(outputMatrix, DIM_SIZE, true);
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      auto e = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Stencil_kernel>(
+            GlobalRange * LocalRange, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+              uint h_pos = it.get_id(0);
+              uint v_pos = it.get_id(1);
+
+              simd<float, (HEIGHT + 10) * 32> vin;
+              // matrix HEIGHT+10 x 32
+              auto in = vin.bit_cast_view<float, HEIGHT + 10, 32>();
+
+              //
+              // rather than loading all data in
+              // the code will interleave data loading and compute
+              // first, we load enough data for the first 16 pixels
+              //
+              unsigned off = (v_pos * HEIGHT) * DIM_SIZE + h_pos * WIDTH;
+#pragma unroll
+              for (unsigned i = 0; i < 10; i++) {
+                simd<float, 32> data;
+                data.copy_from(inputMatrix + off);
+                in.row(i) = data;
+                off += DIM_SIZE;
+              }
+
+              unsigned out_off =
+                  (((v_pos * HEIGHT + 5) * DIM_SIZE + (h_pos * WIDTH) + 5)) *
+                  sizeof(float);
+              simd<unsigned, WIDTH> elm16(0, 1);
+
+#pragma unroll
+              for (unsigned i = 0; i < HEIGHT; i++) {
+                simd<float, 32> data;
+                data.copy_from(inputMatrix + off);
+                in.row(10 + i) = data;
+                off += DIM_SIZE;
+
+                simd<float, WIDTH> sum =
+                    in.row(i + 0).select<WIDTH, 1>(5) * -0.02f +
+                    in.row(i + 1).select<WIDTH, 1>(5) * -0.025f +
+                    in.row(i + 2).select<WIDTH, 1>(5) * -0.0333333333333f +
+                    in.row(i + 3).select<WIDTH, 1>(5) * -0.05f +
+                    in.row(i + 4).select<WIDTH, 1>(5) * -0.1f +
+                    in.row(i + 5).select<WIDTH, 1>(0) * -0.02f +
+                    in.row(i + 5).select<WIDTH, 1>(1) * -0.025f +
+                    in.row(i + 5).select<WIDTH, 1>(2) * -0.0333333333333f +
+                    in.row(i + 5).select<WIDTH, 1>(3) * -0.05f +
+                    in.row(i + 5).select<WIDTH, 1>(4) * -0.1f +
+                    in.row(i + 5).select<WIDTH, 1>(6) * 0.1f +
+                    in.row(i + 5).select<WIDTH, 1>(7) * 0.05f +
+                    in.row(i + 5).select<WIDTH, 1>(8) * 0.0333333333333f +
+                    in.row(i + 5).select<WIDTH, 1>(9) * 0.025f +
+                    in.row(i + 5).select<WIDTH, 1>(10) * 0.02f +
+                    in.row(i + 6).select<WIDTH, 1>(5) * 0.1f +
+                    in.row(i + 7).select<WIDTH, 1>(5) * 0.05f +
+                    in.row(i + 8).select<WIDTH, 1>(5) * 0.0333333333333f +
+                    in.row(i + 9).select<WIDTH, 1>(5) * 0.025f +
+                    in.row(i + 10).select<WIDTH, 1>(5) * 0.02f;
+
+                // predciate output
+                simd_mask<WIDTH> p = (elm16 + h_pos * WIDTH) < (DIM_SIZE - 10);
+
+                simd<unsigned, WIDTH> elm16_off =
+                    elm16 * sizeof(float) + out_off;
+                scatter<float, WIDTH>(outputMatrix, elm16_off, sum, p);
+                out_off += DIM_SIZE * sizeof(float);
+
+                if (v_pos * HEIGHT + 10 + i >= DIM_SIZE - 1)
+                  break;
+              }
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(inputMatrix, ctxt);
+    free(outputMatrix, ctxt);
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  // check result
+  bool passed = CheckResults(outputMatrix, inputMatrix, DIM_SIZE);
+  if (passed) {
+    std::cout << "PASSED" << std::endl;
+  } else {
+    std::cout << "FAILED" << std::endl;
+  }
+  free(inputMatrix, ctxt);
+  free(outputMatrix, ctxt);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba.cpp b/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba.cpp
new file mode 100644
index 0000000000000..0a8a16a7f20b5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba.cpp
@@ -0,0 +1,17 @@
+//==-------- acc_gather_scatter_rgba.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the gather_rgba/scatter_rgba accessor-based
+// ESIMD intrinsics.
+
+#include "acc_gather_scatter_rgba.hpp"
diff --git a/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba.hpp b/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba.hpp
new file mode 100644
index 0000000000000..939706ede6850
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba.hpp
@@ -0,0 +1,193 @@
+//==-------- acc_gather_scatter_rgba.hpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// The test checks functionality of the gather_rgba/scatter_rgba accessor-based
+// ESIMD intrinsics.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T>
+using AccT = accessor<T, 1, access_mode::read_write, access::target::device>;
+
+constexpr int MASKED_LANE_NUM_REV = 1;
+constexpr int NUM_RGBA_CHANNELS =
+    get_num_channels_enabled(sycl::ext::intel::esimd::rgba_channel_mask::ABGR);
+
+template <typename T, unsigned VL, unsigned STRIDE, auto CH_MASK>
+struct Kernel {
+  AccT<T> InAcc;
+  AccT<T> OutAcc;
+  Kernel(AccT<T> InAcc, AccT<T> OutAcc) : InAcc(InAcc), OutAcc(OutAcc) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    using namespace sycl::ext::intel::esimd;
+    constexpr int numChannels = get_num_channels_enabled(CH_MASK);
+
+    // Every workitem accesses contiguous block of VL * STRIDE elements,
+    // where each element consists of RGBA channels.
+    uint32_t global_offset = i * VL * STRIDE * NUM_RGBA_CHANNELS * sizeof(T);
+
+    simd<uint32_t, VL> byteOffsets(0, STRIDE * sizeof(T) * NUM_RGBA_CHANNELS);
+    simd<T, VL * numChannels> v;
+    if constexpr (CH_MASK == rgba_channel_mask::ABGR)
+      // Check that the default mask value is ABGR.
+      v = gather_rgba(InAcc, byteOffsets, global_offset);
+    else
+      v = gather_rgba<CH_MASK>(InAcc, byteOffsets, global_offset);
+    v += (int)i;
+
+    simd_mask<VL> pred = 1;
+    pred[VL - MASKED_LANE_NUM_REV] = 0; // mask out the last lane
+    scatter_rgba<CH_MASK>(OutAcc, byteOffsets, v, global_offset, pred);
+  }
+};
+
+std::string convertMaskToStr(sycl::ext::intel::esimd::rgba_channel_mask mask) {
+  using namespace sycl::ext::intel::esimd;
+  switch (mask) {
+  case rgba_channel_mask::R:
+    return "R";
+  case rgba_channel_mask::GR:
+    return "GR";
+  case rgba_channel_mask::ABGR:
+    return "ABGR";
+  default:
+    return "";
+  }
+  return "";
+}
+
+template <typename T, unsigned VL, unsigned STRIDE, auto CH_MASK>
+bool test(queue q) {
+  size_t numWorkItems = 2;
+  size_t size = VL * STRIDE * NUM_RGBA_CHANNELS * numWorkItems;
+  using namespace sycl::ext::intel::esimd;
+  constexpr int numChannels = get_num_channels_enabled(CH_MASK);
+
+  std::cout << "Testing T=" << typeid(T).name() << " VL=" << VL
+            << " STRIDE=" << STRIDE << " MASK=" << convertMaskToStr(CH_MASK)
+            << "...\t";
+
+  T *A = new T[size];
+  T *B = new T[size];
+  T *gold = new T[size];
+
+  for (int i = 0; i < size; ++i) {
+    A[i] = (T)i;
+    B[i] = (T)-i;
+    gold[i] = (T)-i;
+  }
+
+  // Fill out the array with gold values. The kernel only writes the elements
+  // that are not masked. For example,
+  // for STRIDE=1 and MASK=R, we have the following indices written:
+  //   0, 4, 8, 12 ...
+  // for STRIDE=2 and MASK=RG, we have the following indices written:
+  //   0, 1, 8, 9, 16, 17 ...
+  // All the other elements will be equal to '-A[i]'.
+  auto blockSize = VL * STRIDE * NUM_RGBA_CHANNELS;
+  for (unsigned i = 0; i < size; i += NUM_RGBA_CHANNELS * STRIDE)
+    for (unsigned j = 0; j < numChannels; j++)
+      gold[i + j] = A[i + j] + (i / (blockSize));
+
+  // Account for masked out last lanes (with pred argument to scatter_rgba).
+  auto maskedElementOffset = (VL - 1) * STRIDE * NUM_RGBA_CHANNELS;
+  for (unsigned i = maskedElementOffset; i < size; i += blockSize)
+    for (unsigned j = 0; j < numChannels; j++)
+      gold[i + j] = -A[i + j];
+
+  try {
+    buffer<T, 1> InBuf(A, range<1>(size));
+    buffer<T, 1> OutBuf(B, range<1>(size));
+    range<1> glob_range{numWorkItems};
+    auto e = q.submit([&](handler &cgh) {
+      auto InAcc = InBuf.template get_access<access::mode::read_write>(cgh);
+      auto OutAcc = OutBuf.template get_access<access::mode::read_write>(cgh);
+      Kernel<T, VL, STRIDE, CH_MASK> kernel(InAcc, OutAcc);
+      cgh.parallel_for(glob_range, kernel);
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cerr << "SYCL exception caught: " << e.what() << '\n';
+    delete[] A;
+    delete[] B;
+    delete[] gold;
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < size; ++i) {
+    if (B[i] != gold[i]) {
+      if (++err_cnt < 35) {
+        std::cout << "\nFAILED at index " << i << ": " << B[i]
+                  << " != " << gold[i] << " (gold)";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "\n  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] gold;
+
+  if (err_cnt == 0)
+    std::cout << "Passed\n";
+  return err_cnt == 0;
+}
+
+template <typename T, unsigned VL, unsigned STRIDE> bool test(queue q) {
+  using namespace sycl::ext::intel::esimd;
+  bool passed = true;
+  passed &= test<T, VL, STRIDE, rgba_channel_mask::R>(q);
+  passed &= test<T, VL, STRIDE, rgba_channel_mask::GR>(q);
+  passed &= test<T, VL, STRIDE, rgba_channel_mask::ABGR>(q);
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<int, 16, 1>(q);
+  passed &= test<int, 16, 2>(q);
+  passed &= test<int, 16, 4>(q);
+  passed &= test<int, 32, 1>(q);
+  passed &= test<int, 32, 3>(q);
+  passed &= test<int, 32, 8>(q);
+  passed &= test<float, 16, 1>(q);
+  passed &= test<float, 16, 2>(q);
+  passed &= test<float, 16, 4>(q);
+  passed &= test<float, 32, 1>(q);
+  passed &= test<float, 32, 3>(q);
+  passed &= test<float, 32, 8>(q);
+
+  passed &= test<int, 8, 1>(q);
+  passed &= test<int, 8, 3>(q);
+  passed &= test<int, 8, 8>(q);
+  passed &= test<float, 8, 1>(q);
+  passed &= test<float, 8, 2>(q);
+  passed &= test<float, 8, 4>(q);
+
+  std::cout << (passed ? "All tests passed.\n" : "Some tests failed!\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba_stateless.cpp b/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba_stateless.cpp
new file mode 100644
index 0000000000000..4d91d874986bd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/acc_gather_scatter_rgba_stateless.cpp
@@ -0,0 +1,18 @@
+//==- acc_gather_scatter_rgba_stateless.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the gather_rgba/scatter_rgba accessor-based
+// ESIMD intrinsics when stateless memory accesses are enforced, i.e. accessor
+// based accesses are automatically converted to stateless accesses.
+
+#include "acc_gather_scatter_rgba.hpp"
diff --git a/sycl/test-e2e/ESIMD/accessor.cpp b/sycl/test-e2e/ESIMD/accessor.cpp
index bf3c0bb49da6d..a610ba62a5154 100644
--- a/sycl/test-e2e/ESIMD/accessor.cpp
+++ b/sycl/test-e2e/ESIMD/accessor.cpp
@@ -6,6 +6,7 @@
 //
 //===----------------------------------------------------------------------===//
 // REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
 // UNSUPPORTED: cuda || hip
 // RUN: %clangxx -fsycl -D_CRT_SECURE_NO_WARNINGS=1 %s -o %t.out
 // RUN: %GPU_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/ESIMD/accessor_gather_scatter.cpp b/sycl/test-e2e/ESIMD/accessor_gather_scatter.cpp
new file mode 100644
index 0000000000000..3ea62d8961846
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_gather_scatter.cpp
@@ -0,0 +1,17 @@
+//==------- accessor_gather_scatter.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the gather/scatter accessor-based ESIMD
+// intrinsics.
+
+#include "accessor_gather_scatter.hpp"
diff --git a/sycl/test-e2e/ESIMD/accessor_gather_scatter.hpp b/sycl/test-e2e/ESIMD/accessor_gather_scatter.hpp
new file mode 100644
index 0000000000000..a8a0254e9627a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_gather_scatter.hpp
@@ -0,0 +1,128 @@
+//==------- accessor_gather_scatter.hpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks functionality of the gather/scatter accessor-based ESIMD
+// intrinsics.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T>
+using Acc = accessor<T, 1, access_mode::read_write, access::target::device>;
+
+#define MASKED_LANE_NUM_REV 1
+
+template <typename T, unsigned VL, unsigned STRIDE> struct Kernel {
+  Acc<T> acc;
+  Kernel(Acc<T> acc) : acc(acc) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    using namespace sycl::ext::intel::esimd;
+    uint32_t ii = static_cast<uint32_t>(i.get(0));
+    // every STRIDE threads (subgroups with sg_size=1) access contiguous block
+    // of STRIDE*VL elements
+    uint32_t global_offset = (ii / STRIDE) * VL * STRIDE + ii % STRIDE;
+    simd<uint32_t, VL> offsets(0, STRIDE);
+    simd<T, VL> v =
+        gather<T, VL>(acc, offsets * sizeof(T), global_offset * sizeof(T));
+    v += ii;
+    simd_mask<VL> pred = 1;
+    pred.template select<1, 1>(VL - MASKED_LANE_NUM_REV) =
+        0; // mask out the last lane
+    scatter<T, VL>(acc, offsets * sizeof(T), v, global_offset * sizeof(T),
+                   pred);
+  }
+};
+
+template <typename T, unsigned VL, unsigned STRIDE> bool test(queue q) {
+  size_t size = VL * STRIDE * 117;
+
+  std::cout << "Testing T=" << typeid(T).name() << " VL=" << VL
+            << " STRIDE=" << STRIDE << "...\n";
+  T *A = new T[size];
+
+  for (unsigned i = 0; i < size; ++i) {
+    A[i] = (T)i;
+  }
+
+  try {
+    buffer<T, 1> buf(A, range<1>(size));
+    range<1> glob_range{size / VL};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      Kernel<T, VL, STRIDE> kernel(acc);
+      cgh.parallel_for(glob_range, kernel);
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] A;
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < size; ++i) {
+    T gold = (T)i;
+    // the sequential number of sub group block (STRIDE in each) i falls into
+    unsigned sg_block_num = i / (VL * STRIDE);
+    // the start of the i index block this sg block covers
+    unsigned sg_block_start_i = sg_block_num * VL * STRIDE;
+    // the local id (within block) of the sg covering this i
+    unsigned sg_local_id = (i - sg_block_start_i) % STRIDE;
+    // the global id of the sg covering this i
+    unsigned sg_global_id = sg_local_id + sg_block_num * STRIDE;
+
+    unsigned lane_id = ((i % (VL * STRIDE)) - sg_local_id) / STRIDE;
+
+    gold += lane_id == VL - MASKED_LANE_NUM_REV ? 0 : sg_global_id;
+
+    if (A[i] != gold) {
+      if (++err_cnt < 35) {
+        std::cout << "failed at index " << i << ": " << A[i] << " != " << gold
+                  << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  delete[] A;
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+  passed &= test<char, 8, 1>(q);
+  passed &= test<char, 16, 3>(q);
+  passed &= test<short, 8, 8>(q);
+  passed &= test<short, 16, 1>(q);
+  passed &= test<int, 8, 2>(q);
+  passed &= test<int, 16, 1>(q);
+  passed &= test<float, 8, 2>(q);
+  passed &= test<float, 16, 1>(q);
+  passed &= test<float, 32, 1>(q);
+  passed &= test<float, 32, 4>(q);
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/accessor_gather_scatter_stateless.cpp b/sycl/test-e2e/ESIMD/accessor_gather_scatter_stateless.cpp
new file mode 100644
index 0000000000000..a2503f3591523
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_gather_scatter_stateless.cpp
@@ -0,0 +1,18 @@
+//==------- accessor_gather_scatter.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the gather/scatter accessor-based ESIMD
+// intrinsics when stateless memory accesses are enforced, i.e. accessor based
+// accesses are automatically converted to stateless accesses.
+
+#include "accessor_gather_scatter.hpp"
diff --git a/sycl/test-e2e/ESIMD/accessor_load_store.cpp b/sycl/test-e2e/ESIMD/accessor_load_store.cpp
new file mode 100644
index 0000000000000..e58f84e35cfda
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_load_store.cpp
@@ -0,0 +1,18 @@
+//==------- accessor_load_store.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks functionality of the scalar load/store accessor-based ESIMD
+// intrinsics.
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "accessor_load_store.hpp"
diff --git a/sycl/test-e2e/ESIMD/accessor_load_store.hpp b/sycl/test-e2e/ESIMD/accessor_load_store.hpp
new file mode 100644
index 0000000000000..7bd0ff83f6ace
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_load_store.hpp
@@ -0,0 +1,115 @@
+//==------- accessor_load_store.hpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks functionality of the scalar load/store accessor-based ESIMD
+// intrinsics.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T>
+using Acc = accessor<T, 1, access_mode::read_write, access::target::device>;
+
+template <typename T> struct Kernel {
+  Acc<T> acc;
+  Kernel(Acc<T> acc) : acc(acc) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    using namespace sycl::ext::intel::esimd;
+    uint32_t ii = static_cast<uint32_t>(i.get(0));
+    T v = scalar_load<T>(acc, ii * sizeof(T));
+    v += ii;
+    scalar_store<T>(acc, ii * sizeof(T), v);
+  }
+};
+
+template <typename T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+template <typename T> bool test(queue q, size_t size) {
+  std::cout << "Testing T=" << typeid(T).name() << "...\n";
+  T *A = new T[size];
+
+  for (unsigned i = 0; i < size; ++i) {
+    A[i] = (T)i;
+  }
+
+  try {
+    buffer<T, 1> buf(A, range<1>(size));
+    range<1> glob_range{size};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      Kernel<T> kernel(acc);
+      cgh.parallel_for(glob_range, kernel);
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] A;
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < size; ++i) {
+    T gold = (T)i + (T)i;
+
+    if (A[i] != gold) {
+      if (++err_cnt < 10) {
+        using T1 = typename char_to_int<T>::type;
+        std::cout << "failed at index " << i << ": " << (T1)A[i]
+                  << " != " << (T1)gold << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  delete[] A;
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(int argc, char **argv) {
+  // TODO the test fails with 1- and 2-byte types when size is not multiple
+  // of 4. Supposed reason - wrapping the memory buffer into image1d_buffer
+  size_t size = 128; // 117 - fails for char and short
+
+  if (argc > 1) {
+    size = atoi(argv[1]);
+    size = size == 0 ? 128 : size;
+  }
+  std::cout << "Using size=" << size << "\n";
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+  passed &= test<char>(q, size);
+  passed &= test<unsigned char>(q, size);
+  passed &= test<short>(q, size);
+  passed &= test<unsigned short>(q, size);
+  passed &= test<int>(q, size);
+  passed &= test<unsigned int>(q, size);
+  passed &= test<float>(q, size);
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/accessor_load_store_stateless.cpp b/sycl/test-e2e/ESIMD/accessor_load_store_stateless.cpp
new file mode 100644
index 0000000000000..73fde0ef4e170
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_load_store_stateless.cpp
@@ -0,0 +1,19 @@
+//==--- accessor_load_store_stateless.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks functionality of the scalar load/store accessor-based ESIMD
+// intrinsics when stateless memory accesses are enforced, i.e. accessor
+// based accesses are automatically converted to stateless accesses.
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "accessor_load_store.hpp"
diff --git a/sycl/test-e2e/ESIMD/accessor_stateless.cpp b/sycl/test-e2e/ESIMD/accessor_stateless.cpp
new file mode 100644
index 0000000000000..6da4f06829f32
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/accessor_stateless.cpp
@@ -0,0 +1,18 @@
+//==---------------- accessor_stateless.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem -D_CRT_SECURE_NO_WARNINGS=1 %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks that accessor-based memory accesses work correctly in ESIMD
+// when stateless memory accesses are enforced, i.e. accessor based accesses
+// are automatically converted to stateless accesses.
+
+#include "accessor.hpp"
diff --git a/sycl/test-e2e/ESIMD/aot_mixed.cpp b/sycl/test-e2e/ESIMD/aot_mixed.cpp
new file mode 100644
index 0000000000000..c299325482189
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/aot_mixed.cpp
@@ -0,0 +1,173 @@
+//==---------------- aot_mixed.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// UNSUPPORTED: esimd_emulator
+// Temporary disable everywhere until "Unsupported required sub group size" is
+// fixed in some configurations.
+// UNSUPPORTED: windows
+// UNSUPPORTED: linux
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_gen -Xsycl-target-backend=spir64_gen "-device gen9" -o %t.sycl.out -DENABLE_SYCL=0 %s
+// RUN: %GPU_RUN_PLACEHOLDER %t.sycl.out
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_gen -Xsycl-target-backend=spir64_gen "-device gen9" -o %t.out %s
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks the following ESIMD ahead-of-time compilation scenarios:
+// 1) When the application contains both SYCL and ESIMD kernel, thus requiring
+//    different GPU back-ends (scalar and vector) to kick-in at compile-time.
+// 2) When the application contains only ESIMD kernel.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#ifndef ENABLE_SIMD
+#define ENABLE_SIMD 1
+#endif
+
+#ifndef ENABLE_SYCL
+#define ENABLE_SYCL 1
+#endif
+
+bool verify(float *A, float *B, float *C, size_t Size) {
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+  return err_cnt == 0;
+}
+
+constexpr unsigned Size = 1024 * 128;
+constexpr unsigned VL = 16;
+
+#if ENABLE_SIMD
+bool test_esimd(queue q) {
+  std::cout << "Running ESIMD kernel...\n";
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class TestESIMD>(
+          Size / VL, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            simd<float, VL> vb;
+            vb.copy_from(PB, offset);
+            simd<float, VL> vc = va + vb;
+            vc.copy_to(PC, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    return false;
+  }
+  bool passed = verify(A, B, C, Size);
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+  return passed;
+}
+#endif
+
+#if ENABLE_SYCL
+bool test_sycl(queue q) {
+  std::cout << "Running SYCL kernel...\n";
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class TestSYCL>(Size,
+                                       [=](id<1> i) { PC[i] = PA[i] + PB[i]; });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    return false;
+  }
+  bool passed = verify(A, B, C, Size);
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+  return passed;
+}
+#endif
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+#if ENABLE_SIMD
+  passed &= test_esimd(q);
+#endif
+#if ENABLE_SYCL
+  passed &= test_sycl(q);
+#endif
+
+  std::cout << (passed ? "TEST Passed\n" : "TEST FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/ballot.cpp b/sycl/test-e2e/ESIMD/api/ballot.cpp
new file mode 100755
index 0000000000000..d49a27a14fe81
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/ballot.cpp
@@ -0,0 +1,103 @@
+//==-------------------- ballot.cpp  - DPC++ ESIMD ballot test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks esimd::ballot function.
+
+#include "../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <array>
+#include <iostream>
+#include <random>
+#include <sycl/builtins_esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <sycl/ext/intel/esimd.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+template <class T, int N> bool test(queue &Q) {
+  std::cout << "  Running " << typeid(T).name() << " test, N=" << N << "...\n";
+
+  std::array<T, N> Pred;
+  for (int I = 0; I < N; ++I)
+    Pred[I] = (I & 1) ? I : 0;
+
+  std::random_device RD;
+  std::mt19937 Gen(RD());
+  std::shuffle(Pred.begin(), Pred.end(), Gen);
+
+  uint Res = 0;
+  try {
+    buffer<T, 1> PB(Pred.data(), range<1>(N));
+    buffer<decltype(Res), 1> RB(&Res, range<1>(1));
+
+    auto E = Q.submit([&](handler &CGH) {
+      auto In = PB.template get_access<access::mode::read>(CGH);
+      auto Out = RB.template get_access<access::mode::write>(CGH);
+
+      CGH.parallel_for(sycl::range<1>{1}, [=](id<1>) SYCL_ESIMD_KERNEL {
+        simd<T, N> Mask;
+        Mask.copy_from(In, 0);
+
+        uint Res = esimd::ballot(Mask);
+        scalar_store(Out, 0, Res);
+      });
+    });
+    E.wait();
+  } catch (sycl::exception const &E) {
+    std::cout << "ERROR. SYCL exception caught: " << E.what() << std::endl;
+    return false;
+  }
+
+  uint Ref = 0;
+  for (int I = 0; I < N; ++I)
+    if (Pred[I] != 0)
+      Ref |= 0x1 << I;
+
+  std::cout << (Res == Ref ? "    Passed\n" : "    FAILED\n");
+  return Res == Ref;
+}
+
+template <class T> bool test(queue &Q) {
+  bool Pass = true;
+
+  // TODO: uncomment calls below once simd<...>.copy_from() starts supporting
+  // sizes other than 8, 16 and 32.
+  //  Pass &= test<T, 4>(Q);
+  Pass &= test<T, 8>(Q);
+  //  Pass &= test<T, 12>(Q);
+  Pass &= test<T, 16>(Q);
+  //  Pass &= test<T, 20>(Q);
+  //  Pass &= test<T, 24>(Q);
+  //  Pass &= test<T, 28>(Q);
+  Pass &= test<T, 32>(Q);
+
+  return Pass;
+}
+
+int main(void) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool Pass = true;
+  Pass &= test<ushort>(Q);
+  Pass &= test<uint>(Q);
+
+  std::cout << (Pass ? "Test Passed\n" : "Test FAILED\n");
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/bin_and_cmp_ops_heavy.cpp b/sycl/test-e2e/ESIMD/api/bin_and_cmp_ops_heavy.cpp
new file mode 100644
index 0000000000000..17077cc46b263
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/bin_and_cmp_ops_heavy.cpp
@@ -0,0 +1,388 @@
+//==-------------- bin_and_cmp_ops_heavy.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Exclude PVC not to run same test cases twice (via the *_pvc.cpp variant).
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests various binary operations applied to simd objects.
+
+// TODO
+// Arithmetic operations behaviour depends on Gen's control register's rounding
+// mode, which is RTNE by default:
+//    cr0.5:4 is 00b = Round to Nearest or Even (RTNE)
+// For half and tfloat32 this leads to divergence between Gen and host
+// (emulated) results larger than certain threshold. Might need to tune the cr0
+// once this feature is available in ESIMD.
+//
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using tfloat32 = sycl::ext::intel::experimental::esimd::tfloat32;
+
+template <class T1, class T2, int VL, class OpClass, class Ops> class TestID;
+
+// Result type of a scalar binary Op
+template <class T1, class T2, class OpClass>
+using scalar_comp_t =
+    std::conditional_t<std::is_same_v<OpClass, esimd_test::CmpOp>,
+                       typename simd_mask<8>::element_type,
+                       __ESIMD_DNS::computation_type_t<T1, T2>>;
+
+// Result type of a vector binary Op
+template <class T1, class T2, class OpClass, int N = 0>
+using comp_t = std::conditional_t<
+    N == 0, scalar_comp_t<T1, T2, OpClass>,
+    std::conditional_t<std::is_same_v<OpClass, esimd_test::CmpOp>, simd_mask<N>,
+                       simd<__ESIMD_DNS::computation_type_t<T1, T2>, N>>>;
+
+// Helpers for printing
+template <class T> auto cast(T val) { return val; }
+template <> auto cast<char>(char val) { return (int)val; }
+template <> auto cast<unsigned char>(unsigned char val) {
+  return (unsigned int)val;
+}
+#ifdef __SYCL_DEVICE_ONLY__
+template <> auto cast<_Float16>(_Float16 val) { return (float)val; }
+#endif
+
+// Main test function.
+// T1, T2 - operand types,
+// VL - vector length,
+// OpClass - binary or comparison operations,
+// VerifyF and InitF - verification and initialization function types
+//   (instantiated within the test function),
+// Ops - a compile-time sequence of operations to test.
+//
+template <class T1, class T2, int VL, class OpClass,
+          template <class, class, class> class VerifyF,
+          template <class, class, class> class InitF, class Ops>
+bool test(Ops ops, queue &q, comp_t<T1, T2, OpClass> epsilon = 0) {
+  using T = comp_t<T1, T2, OpClass>;
+  // Log test case info
+  std::cout << "Testing T1=" << esimd_test::type_name<T1>()
+            << " T2=" << esimd_test::type_name<T2>() << ", VL=" << VL
+            << " comp type: " << esimd_test::type_name<T>() << "...\n";
+  std::cout << "Operations:";
+  esimd_test::iterate_ops(ops, [=](OpClass op) {
+    std::cout << " '" << esimd_test::Op2Str(op) << "'";
+  });
+  std::cout << "\n";
+
+  // initialize test data
+  constexpr int Size = 1024 * 7;
+  T1 *A = sycl::malloc_shared<T1>(Size, q);
+  T2 *B = sycl::malloc_shared<T2>(Size, q);
+  constexpr int NumOps = (int)Ops::size;
+  int CSize = NumOps * Size;
+  // Result array. For each pair of A[i] and B[i] elements it reserves NumOps
+  // elements to store result of all operations under test applied to the A[i]
+  // and B[i]
+  T *C = sycl::malloc_shared<T>(CSize, q);
+  InitF<T1, T2, OpClass> init;
+
+  for (int i = 0; i < Size; ++i) {
+    init(A, B, C, i);
+  }
+
+  // submit the kernel
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<TestID<T1, T2, VL, OpClass, Ops>>(
+          Size / VL, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            unsigned off = i * VL;
+            simd<T1, VL> va(A + off, vector_aligned_tag{});
+            simd<T2, VL> vb(B + off, vector_aligned_tag{});
+
+            // applies each of the input operations to the va and vb vectors,
+            // then invokes the lambda below, passing the result of the
+            // operation, its ID and sequential number within the input sequence
+            esimd_test::apply_ops(
+                ops, va, vb,
+                [=](comp_t<T1, T2, OpClass, VL> res, OpClass op,
+                    unsigned op_num) {
+                  unsigned res_off = off * NumOps + op_num * VL;
+                  res.copy_to(C + res_off, vector_aligned_tag{});
+                });
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+    return false;
+  }
+
+  int err_cnt = 0;
+
+  // now verify the results using provided verification function type
+  for (unsigned i = 0; i < Size / VL; ++i) {
+    unsigned off = i * VL;
+
+    for (int j = 0; j < VL; ++j) {
+      T1 a = A[off + j];
+      T2 b = B[off + j];
+
+      esimd_test::apply_ops(
+          ops, a, b, [&](T Gold, OpClass op, unsigned op_num) {
+            unsigned res_off = off * NumOps + op_num * VL;
+            T Res = C[res_off + j];
+            using Tint = esimd_test::int_type_t<sizeof(T)>;
+            Tint ResBits = *(Tint *)&Res;
+            Tint GoldBits = *(Tint *)&Gold;
+            VerifyF<T1, T2, OpClass> verify_f(epsilon);
+
+            if (!verify_f(Gold, Res, op)) {
+              if (++err_cnt < 10) {
+                std::cout << "  failed at index " << (res_off + j) << ", op "
+                          << esimd_test::Op2Str(op) << ": " << cast(Res)
+                          << "(0x" << std::hex << ResBits << ")"
+                          << " != " << std::dec << cast(Gold) << "(0x"
+                          << std::hex << GoldBits << ") [" << std::dec
+                          << cast(a) << " " << esimd_test::Op2Str(op) << " "
+                          << cast(b) << "]\n";
+              }
+            }
+          });
+    }
+  }
+  if (err_cnt > 0) {
+    auto Size1 = NumOps * Size;
+    std::cout << "  pass rate: "
+              << ((float)(Size1 - err_cnt) / (float)Size1) * 100.0f << "% ("
+              << (Size1 - err_cnt) << "/" << Size1 << ")\n";
+  }
+
+  free(A, q);
+  free(B, q);
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt == 0;
+}
+
+// Flavours of verification function types.
+
+template <class T1, class T2, class OpClass> struct verify_strict {
+  using T = comp_t<T1, T2, OpClass>;
+
+  verify_strict(T) {}
+
+  bool operator()(T res, T gold, OpClass op) { return res == gold; }
+};
+
+#define EQ(x, gold, epsilon)                                                   \
+  ((x == gold) || (std::abs((double)(x - gold) / (double)gold) <= epsilon))
+
+template <class T1, class T2, class OpClass, bool AllOps = false>
+struct verify_epsilon {
+  using T = comp_t<T1, T2, OpClass>;
+  double epsilon;
+  verify_epsilon(double epsilon) : epsilon(epsilon) {}
+
+  bool operator()(T res, T gold, OpClass op) {
+    if (AllOps || ((std::is_same_v<OpClass, esimd_test::BinaryOp>)&&(
+                      op == esimd_test::BinaryOp::div))) {
+      return EQ(res, gold, epsilon);
+    }
+    return res == gold;
+  }
+};
+
+template <class T1, class T2, class OpClass> struct verify_n {
+  using T = comp_t<T1, T2, OpClass>;
+  int n;
+  verify_n(int n) : n(n) {}
+
+  bool operator()(T res, T gold, OpClass op) {
+    using Tint = esimd_test::int_type_t<sizeof(T)>;
+    Tint res_bits = *(Tint *)&res;
+    Tint gold_bits = *(Tint *)&gold;
+    return (abs(gold_bits - res_bits) > n) ? false : true;
+  }
+};
+
+// Flavours of initialization function types.
+
+template <class T1, class T2, class OpClass> struct init_default {
+  using T = comp_t<T1, T2, OpClass>;
+
+  void operator()(T1 *A, T2 *B, T *C, int i) {
+    A[i] = (i % 3) * 90 + 10; /*10, 100, 190, 10, ...*/
+    if constexpr (std::is_unsigned_v<T2>) {
+      B[i] = (i % 3) * 99 + 1 /*1, 100, 199, 1, ...*/;
+    } else {
+      B[i] = (i % 4) * 180 - 170; /*-170, 10, 190, 370, -170,...*/
+    }
+    C[i] = 0;
+  }
+};
+
+template <class T1, class T2, class OpClass> struct init_for_shift {
+  using T = comp_t<T1, T2, OpClass>;
+
+  void operator()(T1 *A, T2 *B, T *C, int i) {
+    if constexpr (std::is_unsigned_v<T1>) {
+      A[i] = (i % 3) + 100; /*100, 101, 102, 100, ...*/
+    } else {
+      A[i] = (i % 4) * 100 - 150; /*-150, -50, 50, 150, -150, ...*/
+    }
+    B[i] = (i % 3);
+    C[i] = 0;
+  }
+};
+
+// shortcuts for less clutter
+template <class T1, class T2, class C> using VSf = verify_strict<T1, T2, C>;
+template <class T1, class T2, class C> using VEf = verify_epsilon<T1, T2, C>;
+template <class T1, class T2, class C>
+using VEfa = verify_epsilon<T1, T2, C, true>;
+template <class T1, class T2, class C> using VNf = verify_n<T1, T2, C>;
+template <class T1, class T2, class C> using IDf = init_default<T1, T2, C>;
+template <class T1, class T2, class C> using ISf = init_for_shift<T1, T2, C>;
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+  using BinOp = esimd_test::BinaryOp;
+
+  bool SupportsDouble = dev.has(aspect::fp64);
+  bool SupportsHalf = dev.has(aspect::fp16);
+
+  auto arith_ops = esimd_test::ArithBinaryOpsNoDiv;
+  passed &= test<unsigned char, int, 1, BinOp, VSf, IDf>(arith_ops, q);
+  passed &= test<char, float, 7, BinOp, VEf, IDf>(arith_ops, q, 0.000001f);
+  if (SupportsDouble)
+    passed &= test<short, double, 7, BinOp, VEf, IDf>(arith_ops, q, 1e-15);
+  passed &= test<float, float, 32, BinOp, VEf, IDf>(arith_ops, q, 0.000001f);
+  if (SupportsHalf)
+    passed &= test<half, char, 1, BinOp, verify_n, IDf>(arith_ops, q, 1);
+  if (SupportsHalf)
+    passed &= test<half, unsigned int, 32, BinOp, VSf, IDf>(arith_ops, q, 1);
+  if (SupportsDouble && SupportsHalf)
+    passed &= test<double, half, 7, BinOp, VSf, IDf>(arith_ops, q);
+  passed &= test<short, uint64_t, 7, BinOp, VSf, IDf>(arith_ops, q);
+#ifdef USE_BF16
+  passed &= test<bfloat16, int, 8, BinOp, VSf, IDf>(arith_ops, q);
+  if (SupportsHalf)
+    passed &= test<half, bfloat16, 7, BinOp, VEfa, IDf>(arith_ops, q, 0.03);
+#endif // USE_BF16
+#ifdef USE_TF32
+  passed &= test<tfloat32, float, 32, BinOp, VEfa, IDf>(arith_ops, q, 0.001f);
+  passed &=
+      test<tfloat32, tfloat32, 32, BinOp, VEfa, IDf>(arith_ops, q, 0.001f);
+  passed &= test<char, tfloat32, 32, BinOp, VEfa, IDf>(arith_ops, q, 0.001f);
+  if (SupportsHalf)
+    passed &= test<tfloat32, half, 32, BinOp, VEfa, IDf>(arith_ops, q, 0.001f);
+  passed &=
+      test<tfloat32, unsigned char, 32, BinOp, VEfa, IDf>(arith_ops, q, 0.001f);
+  passed &= test<tfloat32, short, 32, BinOp, VEfa, IDf>(arith_ops, q, 0.001f);
+#endif // USE_TF32
+  // Test division separately, as error probability is higher.
+  auto div_op = esimd_test::BinaryOpSeq<BinOp::div>{};
+  passed &= test<unsigned char, int, 1, BinOp, VSf, IDf>(div_op, q);
+  passed &= test<char, float, 7, BinOp, VEf, IDf>(div_op, q, 0.000001f);
+  if (SupportsDouble)
+    passed &= test<short, double, 7, BinOp, VEf, IDf>(div_op, q, 0.000001f);
+  passed &= test<float, float, 32, BinOp, VEf, IDf>(div_op, q, 0.000001f);
+  if (SupportsHalf)
+    passed &= test<half, char, 1, BinOp, verify_n, IDf>(div_op, q, 1);
+  if (SupportsHalf)
+    passed &= test<half, unsigned int, 32, BinOp, VSf, IDf>(div_op, q, 1);
+  if (SupportsDouble && SupportsHalf)
+    passed &= test<double, half, 7, BinOp, VEf, IDf>(div_op, q, 0.000001f);
+  passed &= test<short, uint64_t, 7, BinOp, VSf, IDf>(div_op, q);
+#ifdef USE_BF16
+  passed &= test<bfloat16, short, 8, BinOp, VSf, IDf>(div_op, q);
+  if (SupportsHalf)
+    passed &= test<half, bfloat16, 7, BinOp, VEfa, IDf>(div_op, q, 0.03);
+#endif // USE_BF16
+
+#ifdef USE_TF32
+  passed &= test<tfloat32, float, 32, BinOp, VEf, IDf>(div_op, q, 0.001f);
+  passed &= test<tfloat32, tfloat32, 32, BinOp, VEf, IDf>(div_op, q, 0.001f);
+  passed &= test<char, tfloat32, 32, BinOp, VEf, IDf>(div_op, q, 0.001f);
+  if (SupportsHalf)
+    passed &= test<tfloat32, half, 32, BinOp, VEf, IDf>(div_op, q, 0.001f);
+  passed &=
+      test<tfloat32, unsigned char, 32, BinOp, VEf, IDf>(div_op, q, 0.001f);
+  passed &= test<tfloat32, short, 32, BinOp, VEf, IDf>(div_op, q, 0.001f);
+#endif // USE_TF32
+
+  auto int_ops = esimd_test::IntBinaryOpsNoShiftNoDivRem;
+  passed &= test<unsigned char, unsigned int, 1, BinOp, VSf, IDf>(int_ops, q);
+  passed &= test<char, uint64_t, 1, BinOp, VSf, IDf>(int_ops, q);
+  passed &= test<uint64_t, char, 32, BinOp, VSf, IDf>(int_ops, q);
+  passed &= test<int, short, 1, BinOp, VSf, IDf>(int_ops, q);
+  passed &= test<short, int, 8, BinOp, VSf, IDf>(int_ops, q);
+  passed &= test<int, int, 7, BinOp, VSf, IDf>(int_ops, q);
+
+  auto int_div_ops = esimd_test::IntBinaryOpsDivRem;
+  passed &=
+      test<unsigned char, unsigned int, 1, BinOp, VSf, IDf>(int_div_ops, q);
+  passed &= test<char, uint64_t, 1, BinOp, VSf, IDf>(int_div_ops, q);
+  passed &= test<uint64_t, char, 32, BinOp, VSf, IDf>(int_div_ops, q);
+  passed &= test<int, short, 1, BinOp, VSf, IDf>(int_div_ops, q);
+  passed &= test<short, int, 8, BinOp, VSf, IDf>(int_div_ops, q);
+  passed &= test<int, int, 7, BinOp, VSf, IDf>(int_div_ops, q);
+
+  auto sh_ops = esimd_test::BinaryOpSeq<BinOp::shl, BinOp::shr>{};
+  passed &= test<unsigned char, unsigned int, 1, BinOp, VSf, ISf>(sh_ops, q);
+  passed &= test<char, int64_t, 1, BinOp, VSf, ISf>(sh_ops, q);
+  passed &= test<uint64_t, char, 32, BinOp, VSf, ISf>(sh_ops, q);
+  passed &= test<int, short, 1, BinOp, VSf, ISf>(sh_ops, q);
+  passed &= test<short, int, 8, BinOp, VSf, ISf>(sh_ops, q);
+  passed &= test<int, int, 7, BinOp, VSf, ISf>(sh_ops, q);
+
+  using CmpOp = esimd_test::CmpOp;
+  auto cmp_ops = esimd_test::CmpOps;
+  passed &= test<unsigned char, int, 1, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<char, float, 7, CmpOp, VSf, IDf>(cmp_ops, q);
+  if (SupportsDouble)
+    passed &= test<short, double, 7, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<float, float, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  if (SupportsHalf)
+    passed &= test<half, char, 1, CmpOp, VSf, IDf>(cmp_ops, q, 1);
+  if (SupportsHalf)
+    passed &= test<half, unsigned int, 32, CmpOp, VSf, IDf>(cmp_ops, q, 1);
+  if (SupportsDouble)
+    passed &= test<double, half, 7, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<short, uint64_t, 7, CmpOp, VSf, IDf>(cmp_ops, q);
+#ifdef USE_BF16
+  passed &= test<bfloat16, int, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  if (SupportsHalf)
+    passed &= test<half, bfloat16, 7, CmpOp, VSf, IDf>(cmp_ops, q);
+#endif // USE_BF16
+
+#ifdef USE_TF32
+  passed &= test<tfloat32, float, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<tfloat32, tfloat32, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<char, tfloat32, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  if (SupportsHalf)
+    passed &= test<tfloat32, half, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<tfloat32, unsigned char, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+  passed &= test<tfloat32, short, 32, CmpOp, VSf, IDf>(cmp_ops, q);
+#endif // USE_TF32
+
+  std::cout << (passed ? "Test PASSED\n" : "Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/bin_and_cmp_ops_heavy_pvc.cpp b/sycl/test-e2e/ESIMD/api/bin_and_cmp_ops_heavy_pvc.cpp
new file mode 100644
index 0000000000000..f3a0e96fe444d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/bin_and_cmp_ops_heavy_pvc.cpp
@@ -0,0 +1,18 @@
+//==---------- bin_and_cmp_ops_heavy_pvc.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests various binary operations applied to simd objects.
+// PVC variant of the test - adds bfloat16 and tfloat32.
+
+#define USE_BF16
+#define USE_TF32
+
+#include "bin_and_cmp_ops_heavy.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/esimd_bit_ops.cpp b/sycl/test-e2e/ESIMD/api/esimd_bit_ops.cpp
new file mode 100644
index 0000000000000..91e5cf89eb244
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/esimd_bit_ops.cpp
@@ -0,0 +1,149 @@
+//==------- esimd_bit_ops.cpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Smoke test for esimd bit operations APIs.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+struct bit_op {
+  enum { cbit, fbl, fbh, num_ops };
+};
+
+template <typename T, int N, int Op> struct test_id;
+
+template <typename T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+// The main test routine.
+template <typename T, int N, int Op> bool test(queue q) {
+  const char *ops[bit_op::num_ops] = {"cbit", "fbl", "fbh"};
+  std::cout << "Testing op=" << ops[Op] << " T=" << typeid(T).name()
+            << ", N=" << N << "...\n";
+
+  T val_all_zero{0};
+  T val_all_one{static_cast<T>(~val_all_zero)};
+  T val_two_one{static_cast<T>(T{1} << (sizeof(T) * 8 - 2) | 2)}; // 010...010
+
+  T vals[] = {val_all_zero, val_all_one, val_two_one};
+  constexpr size_t num_vals = sizeof(vals) / sizeof(vals[0]);
+
+  constexpr size_t size = N * num_vals;
+  unsigned int *A = sycl::malloc_shared<unsigned int>(num_vals, q);
+
+  for (unsigned int i = 0; i < num_vals; ++i) {
+    A[i] = 0xFFFFffff;
+  }
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.single_task<test_id<T, N, Op>>([=]() SYCL_ESIMD_KERNEL {
+        // TODO add test cases where each lane contains different value
+        if constexpr (Op == bit_op::cbit) {
+          A[0] = esimd::cbit(simd<T, N>{val_all_zero})[N / 2];
+          A[1] = esimd::cbit(simd<T, N>{val_all_one})[N / 2];
+          A[2] = esimd::cbit(simd<T, N>{val_two_one})[N / 2];
+        } else if constexpr (Op == bit_op::fbl) {
+          A[0] = esimd::fbl(simd<T, N>{val_all_zero})[N / 2];
+          A[1] = esimd::fbl(simd<T, N>{val_all_one})[N / 2];
+          A[2] = esimd::fbl(simd<T, N>{val_two_one})[N / 2];
+        } else {
+          static_assert(Op == bit_op::fbh);
+          A[0] = esimd::fbh(simd<T, N>{val_all_zero})[N / 2];
+          A[1] = esimd::fbh(simd<T, N>{val_all_one})[N / 2];
+          A[2] = esimd::fbh(simd<T, N>{val_two_one})[N / 2];
+        }
+      });
+    });
+    e.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "  SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    return false;
+  }
+
+  unsigned int Gold[size] = {
+      // cbit:
+      0,             // all zero
+      sizeof(T) * 8, // all one
+      2,             // two one
+      // fbl:
+      0xFFFFffff, // all zero
+      0,          // all one
+      1,          // two one
+      // fbh:
+      0xFFFFffff,                                // all zero
+      std::is_signed<T>::value ? 0xFFFFffff : 0, // all one
+      1                                          // two one
+  };
+  int err_cnt = 0;
+
+  using ValTy = typename char_to_int<T>::type;
+
+  for (unsigned i = 0; i < num_vals; ++i) {
+    T gold = Gold[Op * num_vals + i];
+    T val = A[i];
+    std::cout << "  " << (ValTy)vals[i] << ": ";
+
+    if (val != gold) {
+      ++err_cnt;
+      std::cout << "ERROR. " << (ValTy)val << " != " << (ValTy)gold
+                << "(gold)\n";
+    } else {
+      std::cout << "ok\n";
+    }
+  }
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  sycl::free(A, q);
+  return err_cnt > 0 ? false : true;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<char, 32, bit_op::cbit>(q);
+  passed &= test<unsigned char, 16, bit_op::cbit>(q);
+  passed &= test<short, 32, bit_op::cbit>(q);
+  passed &= test<short, 16, bit_op::cbit>(q);
+  passed &= test<unsigned short, 8, bit_op::cbit>(q);
+  passed &= test<int, 32, bit_op::cbit>(q);
+  passed &= test<unsigned int, 32, bit_op::cbit>(q);
+  // TODO uncomment when implemenation is fixed to support 64-bit ints ops:
+  // passed &= test<int64_t, 32, bit_op::cbit>(q);
+  // passed &= test<uint64_t, 32, bit_op::cbit>(q);
+
+  passed &= test<int, 32, bit_op::fbl>(q);
+  passed &= test<unsigned int, 32, bit_op::fbl>(q);
+
+  passed &= test<int, 32, bit_op::fbh>(q);
+  passed &= test<unsigned int, 32, bit_op::fbh>(q);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/esimd_merge.cpp b/sycl/test-e2e/ESIMD/api/esimd_merge.cpp
new file mode 100644
index 0000000000000..15ae23a389daa
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/esimd_merge.cpp
@@ -0,0 +1,144 @@
+//==---------------- esimd_merge.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This is a functional test for esimd::merge free functions, as well as
+// two-input version of the simd_obj_impl::merge.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel;
+using namespace sycl;
+
+template <class T> void prn(T *arr, int size, const char *title) {
+  std::cout << title << ": ";
+  for (int i = 0; i < size; ++i) {
+    std::cout << " " << arr[i];
+  }
+  std::cout << "\n";
+}
+
+int main(void) {
+  constexpr unsigned NUM_THREADS = 2;
+  constexpr unsigned VL = 16;
+  constexpr unsigned FACTOR = 2;
+  constexpr unsigned SUB_VL = VL / FACTOR / FACTOR;
+  constexpr unsigned Size = VL * NUM_THREADS;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  int *A = malloc_shared<int>(Size, q);
+  int *B = malloc_shared<int>(Size, q);
+  using MaskElT = typename simd_mask<1>::element_type;
+  MaskElT *M = malloc_shared<MaskElT>(Size, q);
+  int *C = malloc_shared<int>(Size, q);
+  int *C1 = malloc_shared<int>(Size, q);
+  constexpr int VAL0 = 0;
+  constexpr int VAL1 = 1;
+  constexpr int VAL2 = 3;
+
+  for (int i = 0; i < Size; ++i) {
+    A[i] = i % 2 + VAL1; // 1212 ...
+    B[i] = i % 2 + VAL2; // 3434 ...
+    // mask out first half of sub-vector, alternating '1' and '2' as 'enabled'
+    // bit representation in a mask element:
+    M[i] = (i % SUB_VL) >= (SUB_VL / 2) ? (i % SUB_VL - 1) : 0; // 00120012 ...
+    C[i] = VAL0;
+    C1[i] = VAL0;
+  }
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(NUM_THREADS, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        simd<int, VL> va(A + i * VL);
+        simd<int, VL> vb(B + i * VL);
+        simd_mask<SUB_VL> m(M + i * VL);
+        // va:         1212121212121212
+        // vb:         3434343434343434
+        // m:          0012001200120012
+        // va.sel.sel: 1111
+        // vb.sel.sel: 4444
+        // vc:         4411
+        simd<int, SUB_VL> vc =
+            esimd::merge(va.select<SUB_VL * 2, 2>(0).select<SUB_VL, 1>(1),
+                         vb.select<SUB_VL * 1, 2>(1).select<SUB_VL, 1>(0), m);
+        vc.copy_to(C + i * VL);
+
+        // also check that
+        //   vc = esimd::merge(a, b, m)
+        // is equivalent to
+        //   vc.merge(a, b, m)
+        simd<int, SUB_VL> vc1;
+        vc1.merge(va.select<SUB_VL * 2, 2>(0).select<SUB_VL, 1>(1).read(),
+                  vb.select<SUB_VL * 1, 2>(1).select<SUB_VL, 1>(0).read(), m);
+        vc1.copy_to(C1 + i * VL);
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+    sycl::free(C1, q);
+    sycl::free(M, q);
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  prn(A, Size, "A");
+  prn(B, Size, "B");
+  prn(M, Size, "M");
+  prn(C, Size, "C");
+
+  for (int i = 0; i < Size; ++i) {
+    int j = i % VL;
+    int gold =
+        j >= SUB_VL ? VAL0 : ((j % SUB_VL) >= (SUB_VL / 2) ? VAL1 : VAL2 + 1);
+
+    if (C[i] != gold) {
+      if (++err_cnt < 10) {
+        std::cout << "(esimd::merge) failed at index " << i << ", " << C[i]
+                  << " != " << gold << " (gold)\n";
+      }
+    }
+    if (C1[i] != gold) {
+      if (++err_cnt < 10) {
+        std::cout << "(simd::merge) failed at index " << i << ", " << C1[i]
+                  << " != " << gold << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+  sycl::free(C1, q);
+  sycl::free(M, q);
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/api/esimd_pack_unpack_mask.cpp b/sycl/test-e2e/ESIMD/api/esimd_pack_unpack_mask.cpp
new file mode 100644
index 0000000000000..b7305c1a95d95
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/esimd_pack_unpack_mask.cpp
@@ -0,0 +1,132 @@
+//==------- esimd_pack_unpack_mask.cpp  - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Smoke test for the esimd pack_mask/unpack_mask APIs.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+template <int, int> struct test_id;
+using MaskRawElemT = typename simd_mask<1>::raw_element_type;
+static inline constexpr int MAX_N = 32;
+
+// The main test routine.
+template <int N, int TestCase, class InitF>
+bool test_impl(queue q, const char *title, InitF init_f) {
+  std::cout << "Testing N=" << N << ", " << title << "...\n";
+
+  MaskRawElemT *test_data = sycl::malloc_shared<MaskRawElemT>(N, q);
+  init_f(test_data);
+  uint32_t *res_packed = sycl::malloc_shared<uint32_t>(1, q);
+  MaskRawElemT *res_unpacked = sycl::malloc_shared<MaskRawElemT>(MAX_N, q);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.single_task<test_id<N, TestCase>>([=]() SYCL_ESIMD_KERNEL {
+        simd_mask<N> m(test_data);
+        uint32_t packed_m = pack_mask(m);
+        res_packed[0] = packed_m;
+        unpack_mask<MAX_N>(packed_m).copy_to(res_unpacked);
+      });
+    });
+    e.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "  SYCL exception caught: " << e.what() << '\n';
+    sycl::free(test_data, q);
+    sycl::free(res_packed, q);
+    sycl::free(res_unpacked, q);
+    return false;
+  }
+  uint32_t gold_packed = 0;
+
+  for (int i = 0; i < N; i++) {
+    if (test_data[i] != 0) {
+      gold_packed |= (1 << i);
+    }
+  }
+  int err_cnt = 0;
+
+  if (gold_packed != *res_packed) {
+    ++err_cnt;
+    std::cout << "    ERROR in pack_mask: 0x" << std::hex << (*res_packed)
+              << " != 0x" << gold_packed << std::dec << " [gold]\n";
+  }
+  for (unsigned i = 0; i < N; ++i) {
+    if ((test_data[i] != 0) != (res_unpacked[i] == 1)) {
+      ++err_cnt;
+      std::cout << "    ERROR in lane " << i << ": (0x" << std::hex
+                << test_data[i] << "!=0) != (0x" << res_unpacked[i] << std::dec
+                << "==1) [gold]\n";
+    }
+  }
+  for (unsigned i = N; i < MAX_N; ++i) {
+    if (res_unpacked[i] != 0) {
+      ++err_cnt;
+      std::cout << "    ERROR: non-zero lane " << i << ": 0x" << std::hex
+                << res_unpacked[i] << std::dec << " in unpacked result\n";
+    }
+  }
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  sycl::free(test_data, q);
+  sycl::free(res_packed, q);
+  sycl::free(res_unpacked, q);
+  return err_cnt > 0 ? false : true;
+}
+
+template <int N> bool test(queue q) {
+  bool passed = true;
+  passed &= test_impl<N, 0>(q, "all zero", [=](MaskRawElemT *x) {
+    for (int i = 0; i < N; i++) {
+      x[i] = 0;
+    }
+  });
+  passed &= test_impl<N, 1>(q, "all one", [=](MaskRawElemT *x) {
+    for (int i = 0; i < N; i++) {
+      x[i] = 1;
+    }
+  });
+  passed &= test_impl<N, 2>(q, "misc", [=](MaskRawElemT *x) {
+    for (int i = 0; i < N; i++) {
+      x[i] = i % 3;
+    }
+  });
+  return passed;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<1>(q);
+  passed &= test<2>(q);
+  passed &= test<7>(q);
+  passed &= test<8>(q);
+  passed &= test<16>(q);
+  // TODO disabled due to compiler bug
+  // passed &= test<31>(q);
+  // passed &= test<32>(q);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/esimd_rgba_smoke.cpp b/sycl/test-e2e/ESIMD/api/esimd_rgba_smoke.cpp
new file mode 100644
index 0000000000000..bb8c2be352e90
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/esimd_rgba_smoke.cpp
@@ -0,0 +1,224 @@
+//==---------------- esimd_rgba_smoke.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Smoke test for scatter/gather also illustrating correct use of these APIs
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+static constexpr unsigned NAllChs =
+    get_num_channels_enabled(rgba_channel_mask::ABGR);
+
+template <class T> void print_ch(T *ch) {
+  unsigned int v = (unsigned int)(*ch);
+  std::cout << (char)(v >> 16) << (v & 0xFF);
+}
+
+template <class T> void print_pixels(const char *title, T *p0, int N) {
+
+  std::cout << title << ":  ";
+  for (unsigned i = 0; i < N; ++i) {
+    T *p = p0 + i * NAllChs;
+
+    std::cout << "{";
+    for (unsigned ch = 0; ch < NAllChs; ++ch) {
+      print_ch(p + ch);
+
+      if (ch < NAllChs - 1) {
+        std::cout << ",";
+      }
+    }
+    std::cout << "}";
+    std::cout << " ";
+  }
+  std::cout << "\n";
+}
+
+void print_mask(rgba_channel_mask m) {
+  const char ch_names[] = {'R', 'G', 'B', 'A'};
+  const rgba_channel ch_vals[] = {rgba_channel::R, rgba_channel::G,
+                                  rgba_channel::B, rgba_channel::A};
+
+  for (int ch = 0; ch < sizeof(ch_names) / sizeof(ch_names[0]); ++ch) {
+    if (is_channel_enabled(m, ch_vals[ch])) {
+      std::cout << ch_names[ch];
+    }
+  }
+}
+
+template <class, int, int> class TestID;
+
+template <rgba_channel_mask ChMask, unsigned NPixels, class T>
+bool test_impl(queue q) {
+  constexpr unsigned NOnChs = get_num_channels_enabled(ChMask);
+  const unsigned Size = NPixels * NAllChs;
+
+  std::cout << "Testing mask=";
+  print_mask(ChMask);
+  std::cout << ", T=" << esimd_test::type_name<T>() << ", NPixels=" << NPixels
+            << "\n";
+
+  T *A = malloc_shared<T>(Size, q);
+  T *B = malloc_shared<T>(Size, q);
+  T *C = malloc_shared<T>(Size, q);
+
+  for (unsigned p = 0; p < NPixels; ++p) {
+    char ch_names[] = {'R', 'G', 'B', 'A'};
+
+    for (int ch = 0; ch < sizeof(ch_names) / sizeof(ch_names[0]); ++ch) {
+      A[p * NAllChs + ch] =
+          (ch_names[ch] << 16) | p; // R0 G0 B0 A0 R1 G1 B1 ...
+      B[p * NAllChs + ch] = 0;
+      C[p * NAllChs + ch] = 0;
+    }
+  }
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.single_task<TestID<T, NPixels, static_cast<int>(ChMask)>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            constexpr unsigned NElems = NPixels * NOnChs;
+            simd<Toffset, NPixels> offsets(0, sizeof(T) * NAllChs);
+            simd<T, NElems> p = gather_rgba<ChMask>(A, offsets);
+            // simply scatter back to B - should give same results as A in
+            // enabled channels, the rest should remain zero:
+            scatter_rgba<ChMask>(B, offsets, p);
+            // copy instead of scattering to C - thus getting AOS to SOA layout
+            // layout conversion:
+            //   R0 R1 ... G0 G1 ... B0 B1 ... A0 A1 ...
+            // or, if say R and B are disables (rgba_channel_mask::AG is used):
+            //   G0 G1 ... A0 A1 ... 0 0 0 ...
+            p.copy_to(C);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    free(C, q);
+    return 1;
+  }
+  print_pixels("  A", A, NPixels);
+  print_pixels("  B", B, NPixels);
+  print_pixels("  C", C, NPixels);
+  int err_cnt = 0;
+
+  // Total count of A's enabled channels iterated through at given moment
+  unsigned on_ch_cnt_all = 0;
+
+  // clang-format off
+  //Testing mask=RA, T=unsigned int, NPixels=8
+  //  A:  {R0,G0,B0,A0} {R1,G1,B1,A1} {R2,G2,B2,A2} {R3,G3,B3,A3} {R4,G4,B4,A4} {R5,G5,B5,A5} {R6,G6,B6,A6} {R7,G7,B7,A7}
+  //  B:  {R0, 0, 0,A0} {R1, 0, 0,A1} {R2, 0, 0,A2} {R3, 0, 0,A3} {R4, 0, 0,A4} {R5, 0, 0,A5} {R6, 0, 0,A6} {R7, 0, 0,A7}
+  //  C:  {R0,R1,R2,R3} {R4,R5,R6,R7} {A0,A1,A2,A3} {A4,A5,A6,A7} { 0, 0, 0, 0} { 0, 0, 0, 0} { 0, 0, 0, 0} { 0, 0, 0, 0}
+  //  clang-format on
+
+  for (unsigned p = 0; p < NPixels; ++p) {
+    const char ch_names[] = {'R', 'G', 'B', 'A'};
+    const rgba_channel ch_vals[] = {rgba_channel::R, rgba_channel::G,
+                                    rgba_channel::B, rgba_channel::A};
+    // Counts enabled channels in current A's pixel
+    unsigned ch_on_cnt = 0;
+
+    for (int ch = 0; ch < sizeof(ch_names) / sizeof(ch_names[0]); ++ch) {
+      unsigned ch_off = p * NAllChs + ch;
+
+      // check C
+      // Are we past the payload in C and at the trailing 0 area?
+      bool c_done = on_ch_cnt_all >= NPixels * NOnChs;
+
+      if (c_done) {
+        if ((T)0 != C[ch_off]) {
+          ++err_cnt;
+          std::cout << "  error in C: non-zero at pixel=" << p
+                    << " channel=" << ch_names[ch] << "\n";
+        }
+      }
+      if (is_channel_enabled(ChMask, ch_vals[ch])) {
+        // check B
+        if (A[ch_off] != B[ch_off]) {
+          ++err_cnt;
+          std::cout << "  error in B at pixel=" << p
+                    << " channel=" << ch_names[ch] << ": ";
+          print_ch(B + ch_off);
+          std::cout << " != ";
+          print_ch(A + ch_off);
+          std::cout << " (gold)\n";
+        }
+        // check C
+        on_ch_cnt_all++;
+        unsigned ch_off_c = NPixels * ch_on_cnt + p;
+        ch_on_cnt++;
+        if (A[ch_off] != C[ch_off_c]) {
+          ++err_cnt;
+          std::cout << "  error in C at pixel=" << p
+                    << " channel=" << ch_names[ch] << ": ";
+          print_ch(C + ch_off_c);
+          std::cout << " != ";
+          print_ch(A + ch_off);
+          std::cout << " (gold)\n";
+        }
+      } else {
+        // check B
+        if ((T)0 != B[ch_off]) {
+          ++err_cnt;
+          std::cout << "  error in B: non-zero at pixel=" << p
+                    << " channel=" << ch_names[ch] << "\n";
+        }
+      }
+    }
+  }
+
+  free(A, q);
+  free(B, q);
+  free(C, q);
+  std::cout << (err_cnt > 0 ? " FAILED\n" : " Passed\n");
+  return err_cnt == 0;
+}
+
+template <rgba_channel_mask ChMask> bool test(queue q) {
+  bool passed = true;
+  passed &= test_impl<ChMask, 8, unsigned int>(q);
+  passed &= test_impl<ChMask, 16, float>(q);
+  passed &= test_impl<ChMask, 32, int>(q);
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>() << "\n";
+  bool passed = true;
+  // Only these four masks are supported for rgba write operations:
+  passed &= test<rgba_channel_mask::ABGR>(q);
+  passed &= test<rgba_channel_mask::BGR>(q);
+  passed &= test<rgba_channel_mask::GR>(q);
+  passed &= test<rgba_channel_mask::R>(q);
+
+  std::cout << (passed ? "Test passed\n" : "Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/esimd_rgba_smoke_64.cpp b/sycl/test-e2e/ESIMD/api/esimd_rgba_smoke_64.cpp
new file mode 100644
index 0000000000000..870802983d6ee
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/esimd_rgba_smoke_64.cpp
@@ -0,0 +1,19 @@
+//==---------------- esimd_rgba_smoke_64.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Smoke test for scatter/gather also illustrating correct use of these APIs
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "esimd_rgba_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/functional/README.md b/sycl/test-e2e/ESIMD/api/functional/README.md
new file mode 100644
index 0000000000000..d645b9cc180b6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/README.md
@@ -0,0 +1,7 @@
+# Tests configuration options
+Tests within this directory has additional preprocessor definitions available.
+
+`ESIMD_TESTS_VERBOSE_LOG` (default: not defined)
+Enables verbose log messages, including the trace messages for the current test
+case running. It could be usefull to investigate test failures, crashes or
+freezes.
diff --git a/sycl/test-e2e/ESIMD/api/functional/common.hpp b/sycl/test-e2e/ESIMD/api/functional/common.hpp
new file mode 100644
index 0000000000000..61d1d6d566d51
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/common.hpp
@@ -0,0 +1,105 @@
+//===-- common.hpp - This file provides common functions for simd constructors
+//      tests -------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// Common file for tests on simd class.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include "../../esimd_test_utils.hpp"
+#include "logger.hpp"
+#include "type_coverage.hpp"
+#include "type_traits.hpp"
+#include "value.hpp"
+
+#include <vector>
+
+namespace esimd_test::api::functional {
+
+namespace details {
+
+// Bitwise comparison for two values
+template <typename T> bool are_bitwise_equal(T lhs, T rhs) {
+  constexpr size_t size{sizeof(T)};
+
+  // Such type-punning is OK from the point of strict aliasing rules
+  const auto &lhs_bytes = reinterpret_cast<const unsigned char(&)[size]>(lhs);
+  const auto &rhs_bytes = reinterpret_cast<const unsigned char(&)[size]>(rhs);
+
+  bool result{true};
+  for (size_t i = 0; i < size; ++i) {
+    result &= lhs_bytes[i] == rhs_bytes[i];
+  }
+  return result;
+}
+
+} // namespace details
+
+// Class used as a kernel ID.
+template <typename DataT, int NumElems, typename...> struct Kernel;
+
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+// Divides a on b and returns integer value not less than result of division
+// given remainder.
+constexpr int round_up_int_division(int a, int b) {
+  return ((a % b) > 0) ? (a / b + 1) : (a / b);
+}
+
+// Provides verification that provided device has necessary aspects to interact
+// with current data type.
+template <typename T>
+inline bool should_skip_test_with(const sycl::device &device) {
+  if constexpr (std::is_same_v<T, sycl::half>) {
+    if (!device.has(sycl::aspect::fp16)) {
+      // TODO: Use TestDescription after removal of the macro
+      // ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+      log::print_line(
+          "Device does not support half precision floating point operations");
+      return true;
+    }
+  } else if constexpr (std::is_same_v<T, double>) {
+    if (!device.has(sycl::aspect::fp64)) {
+      log::print_line(
+          "Device does not support double precision floating point operations");
+      return true;
+    }
+  } else {
+    // Suppress compilation warnings
+    static_cast<void>(device);
+  }
+
+  return false;
+}
+
+// A wrapper to speed-up bitwise comparison
+template <typename T> bool are_bitwise_equal(T lhs, T rhs) {
+  // We are safe to compare unsigned integral types using `==` operator.
+  // Still for any other type we might consider the bitwise comparison,
+  // including:
+  //  - floating-point types, due to nan with opcodes
+  //  - signed integer types, to avoid a possibility of UB on trap
+  //  representation (negative zero) value access
+  if constexpr (std::is_unsigned_v<T>) {
+    return lhs == rhs;
+  } else {
+    return details::are_bitwise_equal(lhs, rhs);
+  }
+}
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/common.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/common.hpp
new file mode 100644
index 0000000000000..8c739eb9c5b8d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/common.hpp
@@ -0,0 +1,75 @@
+//===-- common.hpp - Define common code for simd ctors tests --------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides common things for simd ctors tests.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../common.hpp"
+#include <string>
+
+namespace esimd_test::api::functional::ctors {
+
+#ifdef ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+template <int NumElems, typename ContextT>
+class TestDescription : public ITestDescription {
+public:
+  TestDescription(const std::string &data_type) : m_data_type(data_type) {}
+
+  std::string to_string() const override {
+    std::string test_description("simd<");
+
+    test_description += m_data_type + ", " + std::to_string(NumElems) + ">";
+    test_description += ", with context: " + ContextT::get_description();
+
+    return test_description;
+  }
+
+private:
+  const std::string m_data_type;
+};
+
+#else
+
+// Deprecated, use TestDescription<NumElems, ContextT> for new tests instead
+//
+// TODO: Remove deprecated TestDescription from all tests
+template <typename DataT, int NumElems, typename ContextT>
+class [[deprecated]] TestDescription : public ITestDescription {
+public:
+  TestDescription(size_t index, DataT retrieved_val, DataT expected_val,
+                  const std::string &data_type)
+      : m_data_type(data_type), m_retrieved_val(retrieved_val),
+        m_expected_val(expected_val), m_index(index) {}
+
+  std::string to_string() const override {
+    std::string log_msg("Failed for simd<");
+
+    log_msg += m_data_type + ", " + std::to_string(NumElems) + ">";
+    log_msg += ", with context: " + ContextT::get_description();
+    log_msg += ", retrieved: " + std::to_string(m_retrieved_val);
+    log_msg += ", expected: " + std::to_string(m_expected_val);
+    log_msg += ", at index: " + std::to_string(m_index);
+
+    return log_msg;
+  }
+
+private:
+  const std::string m_data_type;
+  const DataT m_retrieved_val;
+  const DataT m_expected_val;
+  const size_t m_index;
+};
+
+#endif // ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array.hpp
new file mode 100644
index 0000000000000..d3b878f69a6b0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array.hpp
@@ -0,0 +1,169 @@
+//===-- ctor_array.hpp - Functions for tests on simd constructor from an array
+//      definition. -------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd constructor from an array.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT (&&ref_data)[NumElems], DataT *const out) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(ref_data)>,
+        "Provided input data is not nonconst rvalue reference");
+    const auto simd_by_init = esimd::simd<DataT, NumElems>(std::move(ref_data));
+    simd_by_init.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT (&&ref_data)[NumElems], DataT *const out) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(ref_data)>,
+        "Provided input data is not nonconst rvalue reference");
+    const esimd::simd<DataT, NumElems> simd_by_var_decl(std::move(ref_data));
+    simd_by_var_decl.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT (&&ref_data)[NumElems], DataT *const out) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(ref_data)>,
+        "Provided input data is not nonconst rvalue reference");
+    esimd::simd<DataT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DataT, NumElems>(std::move(ref_data));
+    simd_by_rval.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT (&&ref_data)[NumElems], DataT *const out) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(ref_data)>,
+        "Provided input data is not nonconst rvalue reference");
+    call_simd_by_const_ref<DataT, NumElems>(
+        esimd::simd<DataT, NumElems>(std::move(ref_data)), out);
+  }
+
+private:
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename DataT, typename SizeT, typename TestCaseT> class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = ctors::TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed &= run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed &= run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *const out = result.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            DataT ref_on_dev[NumElems];
+            for (size_t i = 0; i < NumElems; ++i) {
+              ref_on_dev[i] = ref[i];
+            }
+
+            TestCaseT::template call_simd_ctor<DataT, NumElems>(
+                std::move(ref_on_dev), out);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      const auto &expected = ref_data[i];
+      const auto &retrieved = result[i];
+
+      if (!are_bitwise_equal(expected, retrieved)) {
+        passed = false;
+        log::fail(TestDescriptionT(data_type), "Unexpected value at index ", i,
+                  ", retrieved: ", retrieved, ", expected: ", expected);
+      }
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array_core.cpp
new file mode 100644
index 0000000000000..d5e5083303e5b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array_core.cpp
@@ -0,0 +1,47 @@
+//==------- ctor_array_core.cpp  - DPC++ ESIMD on-device test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd constructor from an array.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test does the following actions:
+//  - construct fixed-size array that filled with reference values
+//  - use std::move() to provide it to simd constructor
+//  - bitwise compare expected and retrieved values
+
+#include "ctor_array.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array_fp_extra.cpp
new file mode 100644
index 0000000000000..80377322d7c01
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_array_fp_extra.cpp
@@ -0,0 +1,47 @@
+//==------- ctor_array_fp_extra.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd constructor from an array.
+// This test uses extra fp data types, sizes and different simd constructor
+// invocation contexts.
+// The test does the following actions:
+//  - construct fixed-size array that filled with reference values
+//  - use std::move() to provide it to simd constructor
+//  - bitwise compare expected and retrieved values
+
+#include "ctor_array.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast.hpp
new file mode 100644
index 0000000000000..50a8ddfbaefdc
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast.hpp
@@ -0,0 +1,224 @@
+//===-- ctor_broadcast.hpp - Functions for tests on simd broadcast constructor
+//      definition. -------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd broadcast constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../value_conv.hpp"
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(SrcT ref_value, DstT *const out) {
+    const auto simd_by_init = esimd::simd<DstT, NumElems>(ref_value);
+    simd_by_init.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(SrcT ref_value, DstT *const out) {
+    const esimd::simd<DstT, NumElems> simd_by_var_decl(ref_value);
+    simd_by_var_decl.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(SrcT ref_value, DstT *const out) {
+    esimd::simd<DstT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DstT, NumElems>(ref_value);
+    simd_by_rval.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(SrcT ref_value, DstT *const out) {
+    call_simd_by_const_ref<DstT, NumElems>(
+        esimd::simd<DstT, NumElems>(ref_value), out);
+  }
+
+private:
+  template <typename DstT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DstT, NumElems> &simd_by_const_ref,
+                         DstT *const out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+template <typename SrcT, typename DstT, int NumElems, typename ContextT>
+class BroadcastCtorTestDescription : public ITestDescription {
+public:
+  BroadcastCtorTestDescription(size_t index, DstT retrieved_val,
+                               DstT expected_val, SrcT ref_value,
+                               const std::string &src_data_type,
+                               const std::string &dst_data_type)
+      : m_src_data_type(src_data_type), m_dst_data_type(dst_data_type),
+        m_retrieved_val(retrieved_val), m_expected_val(expected_val),
+        m_ref_val(ref_value), m_index(index) {}
+
+  std::string to_string() const override {
+    // TODO: Make strings for fp values more short during failure output, may be
+    // by using hex representation
+    std::string log_msg("Failed for simd<");
+
+    log_msg += m_dst_data_type + ", " + std::to_string(NumElems) + ">";
+    log_msg += ", with context: " + ContextT::get_description();
+    log_msg += ", source type: " + m_src_data_type;
+    log_msg += ", destination type: " + m_dst_data_type;
+    log_msg += ", retrieved: " + std::to_string(m_retrieved_val);
+    log_msg += ", expected: " + std::to_string(m_expected_val);
+    log_msg += ", input: " + std::to_string(m_ref_val);
+    log_msg += ", at index: " + std::to_string(m_index);
+
+    return log_msg;
+  }
+
+private:
+  const std::string m_src_data_type;
+  const std::string m_dst_data_type;
+  const DstT m_retrieved_val;
+  const DstT m_ref_val;
+  const DstT m_expected_val;
+  const size_t m_index;
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename UsePositiveValueOnly, typename SrcT, typename SizeT,
+          typename DstT, typename TestCaseT>
+class run_test {
+  static constexpr int NumElems = SizeT::value;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &src_data_type,
+                  const std::string &dst_data_type) {
+    bool passed = true;
+    std::vector<SrcT> ref_data;
+
+    if constexpr (UsePositiveValueOnly::value) {
+      ref_data.push_back(static_cast<SrcT>(126.75));
+    } else {
+      ref_data = generate_ref_conv_data<SrcT, DstT, 1>();
+    }
+
+    for (size_t i = 0; i < ref_data.size(); ++i) {
+      passed &=
+          run_verification(queue, ref_data[i], src_data_type, dst_data_type);
+    }
+
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, SrcT ref_value,
+                        const std::string &src_data_type,
+                        const std::string &dst_data_type) {
+    bool passed = true;
+
+    auto device = queue.get_device();
+    if (should_skip_test_with<SrcT>(device) ||
+        should_skip_test_with<DstT>(device))
+      return passed;
+
+    shared_vector<DstT> result(NumElems, shared_allocator<DstT>(queue));
+    shared_vector<SrcT> shared_ref_data(1, shared_allocator<SrcT>(queue));
+    shared_ref_data[0] = ref_value;
+
+    queue.submit([&](sycl::handler &cgh) {
+      const SrcT *const ref = shared_ref_data.data();
+      DstT *const out = result.data();
+
+      cgh.single_task<
+          Kernel<SrcT, NumElems, DstT, TestCaseT, UsePositiveValueOnly>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            TestCaseT::template call_simd_ctor<SrcT, DstT, NumElems>(ref[0],
+                                                                     out);
+          });
+    });
+    queue.wait_and_throw();
+
+    const DstT expected = static_cast<DstT>(ref_value);
+    for (size_t i = 0; i < result.size(); ++i) {
+      const DstT &retrieved = result[i];
+
+      if constexpr (std::is_same_v<SrcT, DstT>) {
+        if (!are_bitwise_equal(ref_value, retrieved)) {
+          fail_test(i, retrieved, expected, ref_value, src_data_type,
+                    dst_data_type);
+        }
+      } else if constexpr (type_traits::is_sycl_floating_point_v<DstT>) {
+        // std::isnan() couldn't be called for integral types because it call is
+        // ambiguous GitHub issue for that case:
+        // https://github.com/microsoft/STL/issues/519
+        if (!std::isnan(expected) && !std::isnan(retrieved)) {
+          if (expected != retrieved) {
+            passed = fail_test(i, retrieved, expected, ref_value, src_data_type,
+                               dst_data_type);
+          }
+        }
+      } else {
+        if (expected != retrieved) {
+          passed = fail_test(i, retrieved, expected, ref_value, src_data_type,
+                             dst_data_type);
+        }
+      }
+    }
+
+    return passed;
+  }
+
+  bool fail_test(size_t index, DstT retrieved, DstT expected, SrcT ref_value,
+                 const std::string &src_data_type,
+                 const std::string &dst_data_type) {
+    const auto description =
+        BroadcastCtorTestDescription<SrcT, DstT, NumElems, TestCaseT>(
+            index, retrieved, expected, ref_value, src_data_type,
+            dst_data_type);
+    log::fail(description);
+
+    return false;
+  }
+};
+
+template <typename SrcT, typename SizeT, typename DstT, typename TestCaseT>
+using run_test_with_all_values =
+    run_test<std::false_type, SrcT, SizeT, DstT, TestCaseT>;
+
+template <typename SrcT, typename SizeT, typename DstT, typename TestCaseT>
+using run_test_with_positive_value_only =
+    run_test<std::true_type, SrcT, SizeT, DstT, TestCaseT>;
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast_core.cpp
new file mode 100644
index 0000000000000..05e2aeb65935d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast_core.cpp
@@ -0,0 +1,78 @@
+//==------- ctor_copy.cpp  - DPC++ ESIMD on-device test --------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// XRUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// XRUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd broadcast constructor.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// Type of a value that will be provided to the broadcast constructor may be
+// differ, than value, that will be provided to the simd when it will be
+// constructed. It is expected for a new simd instance to store same data as the
+// one passed as the source simd constructor.
+
+#include "ctor_broadcast.hpp"
+
+using namespace sycl::ext::intel::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto uint_types = get_tested_types<tested_types::uint>();
+  const auto sint_types = get_tested_types<tested_types::sint>();
+  const auto fp_types = get_tested_types<tested_types::fp>();
+  const auto core_types = get_tested_types<tested_types::core>();
+  const auto int_type = named_type_pack<int>::generate("int");
+  using use_positive_value_only = std::true_type;
+  using use_ref_conv_values = std::false_type;
+  const auto single_size = get_sizes<8>();
+  const auto two_sizes = get_sizes<1, 8>();
+  const auto all_sizes = get_all_sizes();
+  const auto all_contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+  const auto context = unnamed_type_pack<ctors::var_decl>::generate();
+
+  // Run for specific combinations of types, vector length, base and step values
+  // and invocation contexts.
+  // The source types is the first types, that provided to the
+  // "for_all_combinations" the destination types is the second types that
+  // provided to the "for_all_combinations".
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      int_type, two_sizes, uint_types, all_contexts, queue);
+  passed &= for_all_combinations<ctors::run_test_with_positive_value_only>(
+      core_types, all_sizes, core_types, all_contexts, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      fp_types, single_size, fp_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      fp_types, single_size, uint_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      fp_types, single_size, sint_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      uint_types, single_size, core_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      sint_types, single_size, uint_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      sint_types, single_size, sint_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      sint_types, single_size, fp_types, context, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast_fp_extra.cpp
new file mode 100644
index 0000000000000..7e7ba8c9a8863
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_broadcast_fp_extra.cpp
@@ -0,0 +1,57 @@
+//==------- ctor_broadcast_fp_extra.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd broadcast constructor.
+// This test uses fp extra data types, sizes and different simd constructor
+// invocation contexts.
+// Type of a value that will be provided to the broadcast constructor may be
+// differ, than value, that will be provided to the simd when it will be
+// constructed. It is expected for a new simd instance to store same data as the
+// one passed as the source simd constructor.
+
+#include "ctor_broadcast.hpp"
+
+using namespace sycl::ext::intel::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto uint_types = get_tested_types<tested_types::uint>();
+  const auto sint_types = get_tested_types<tested_types::sint>();
+  const auto fp_extra_types = get_tested_types<tested_types::fp_extra>();
+  const auto single_size = get_sizes<8>();
+  const auto context = unnamed_type_pack<ctors::var_decl>::generate();
+
+  // Run for specific combinations of types, vector length, base and step values
+  // and invocation contexts.
+  // The source types is the first types, that provided to the
+  // "for_all_combinations" the destination types is the second types that
+  // provided to the "for_all_combinations".
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      fp_extra_types, single_size, fp_extra_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      fp_extra_types, single_size, uint_types, context, queue);
+  passed &= for_all_combinations<ctors::run_test_with_all_values>(
+      fp_extra_types, single_size, sint_types, context, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting.hpp
new file mode 100644
index 0000000000000..4beee2f8a1a3c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting.hpp
@@ -0,0 +1,230 @@
+//===-- ctor_converting.hpp - Functions for tests on simd converting constructor
+//      definition. -------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd converting constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../value_conv.hpp"
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(const SrcT *const ref_data, DstT *const out) {
+    esimd::simd<SrcT, NumElems> input_simd;
+    input_simd.copy_from(ref_data);
+
+    esimd::simd<DstT, NumElems> output_simd = input_simd;
+    output_simd.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(const SrcT *const ref_data, DstT *const out) {
+    esimd::simd<SrcT, NumElems> input_simd;
+    input_simd.copy_from(ref_data);
+
+    esimd::simd<DstT, NumElems> output_simd(input_simd);
+    output_simd.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(const SrcT *const ref_data, DstT *const out) {
+    esimd::simd<SrcT, NumElems> input_simd;
+    input_simd.copy_from(ref_data);
+
+    esimd::simd<DstT, NumElems> output_simd;
+    output_simd = esimd::simd<DstT, NumElems>(input_simd);
+    output_simd.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename SrcT, typename DstT, int NumElems>
+  static void call_simd_ctor(const SrcT *const ref_data, DstT *const out) {
+    esimd::simd<SrcT, NumElems> input_simd;
+    input_simd.copy_from(ref_data);
+    call_simd_by_const_ref<SrcT, DstT, NumElems>(
+        esimd::simd<SrcT, NumElems>(input_simd), out);
+  }
+
+private:
+  template <typename SrcT, typename DstT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<SrcT, NumElems> &simd_by_const_ref,
+                         DstT *out) {
+    esimd::simd<DstT, NumElems> output_simd = simd_by_const_ref;
+    output_simd.copy_to(out);
+  }
+};
+
+template <typename T, int NumElems, typename ContextT>
+class ConvCtorTestDescription : public ITestDescription {
+public:
+  ConvCtorTestDescription(size_t index, T retrieved_val, T expected_val,
+                          const std::string &src_data_type,
+                          const std::string &dst_data_type)
+      : m_src_data_type(src_data_type), m_dst_data_type(dst_data_type),
+        m_retrieved_val(retrieved_val), m_expected_val(expected_val),
+        m_index(index) {}
+
+  std::string to_string() const override {
+    // TODO: Make strings for fp values more short during failure output, may be
+    // by using hex representation
+    std::string log_msg("Failed for converting from simd<");
+
+    log_msg += m_src_data_type + ", " + std::to_string(NumElems) + ">";
+    log_msg +=
+        ", to simd<" + m_dst_data_type + ", " + std::to_string(NumElems) + ">";
+    log_msg += ", with context: " + ContextT::get_description();
+    log_msg += ", retrieved: " + std::to_string(m_retrieved_val);
+    log_msg += ", expected: " + std::to_string(m_expected_val);
+    log_msg += ", at index: " + std::to_string(m_index);
+
+    return log_msg;
+  }
+
+private:
+  const std::string m_src_data_type;
+  const std::string m_dst_data_type;
+  const T m_retrieved_val;
+  const T m_expected_val;
+  const size_t m_index;
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename SrcT, typename DimT, typename DstT, typename TestCaseT>
+class run_test {
+  static constexpr int NumElems = DimT::value;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &src_data_type,
+                  const std::string &dst_data_type) {
+    bool passed = true;
+    const std::vector<SrcT> ref_data =
+        generate_ref_conv_data<SrcT, DstT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed &= run_verification(queue, {ref_data[i]}, src_data_type,
+                                   dst_data_type);
+      }
+    } else {
+      passed &= run_verification(queue, ref_data, src_data_type, dst_data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<SrcT> &ref_data,
+                        const std::string &src_data_type,
+                        const std::string &dst_data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    auto device = queue.get_device();
+    if (should_skip_test_with<SrcT>(device) ||
+        should_skip_test_with<DstT>(device))
+      return passed;
+
+    shared_vector<DstT> result(NumElems, shared_allocator<DstT>(queue));
+    shared_vector<SrcT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                        shared_allocator<SrcT>(queue));
+
+    queue.submit([&](sycl::handler &cgh) {
+      const SrcT *const ref = shared_ref_data.data();
+      DstT *const out = result.data();
+
+      cgh.single_task<Kernel<SrcT, NumElems, DstT, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            TestCaseT::template call_simd_ctor<SrcT, DstT, NumElems>(ref, out);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      // We ensure there is no UB here by preparing appropriate reference
+      // values.
+      const DstT &expected = static_cast<DstT>(ref_data[i]);
+      const DstT &retrieved = result[i];
+      if constexpr (type_traits::is_sycl_floating_point_v<DstT>) {
+        // std::isnan() couldn't be called for integral types because it call is
+        // ambiguous GitHub issue for that case:
+        // https://github.com/microsoft/STL/issues/519
+        if (!std::isnan(expected) || !std::isnan(retrieved)) {
+          if (expected != retrieved) {
+            // TODO add a function that will compare with defined accuracy
+            // taking into account the possibility of UB on border values.
+            // We don't have a such UB now because we are using 10f as maximum
+            // value.
+            if (!((expected + value<DstT>::pos_ulp(expected)) >= retrieved ||
+                  (expected - value<DstT>::pos_ulp(expected)) >= retrieved ||
+                  (expected + value<DstT>::pos_ulp(expected)) <= retrieved ||
+                  (expected - value<DstT>::pos_ulp(expected)) <= retrieved)) {
+              passed = fail_test(i, retrieved, expected, src_data_type,
+                                 dst_data_type);
+            }
+          }
+        }
+      } else {
+        if (expected != retrieved) {
+          passed =
+              fail_test(i, retrieved, expected, src_data_type, dst_data_type);
+        }
+      }
+    }
+
+    return passed;
+  }
+
+  bool fail_test(size_t index, DstT retrieved, DstT expected,
+                 const std::string &src_data_type,
+                 const std::string &dst_data_type) {
+    const auto description = ConvCtorTestDescription<DstT, NumElems, TestCaseT>(
+        index, retrieved, expected, src_data_type, dst_data_type);
+    log::fail(description);
+
+    return false;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting_core.cpp
new file mode 100644
index 0000000000000..ce7d92907eb4f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting_core.cpp
@@ -0,0 +1,67 @@
+//==------- ctor_converting_core.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd converting constructor for core types.
+// This test uses different data types, dimensionality, base and step values and
+// different simd constructor invocation contexts.
+// The test do the following actions:
+//  - construct simd with source data type, then construct simd with destination
+//    type from the earlier constructed simd
+//  - compare retrieved and expected values
+
+#include "ctor_converting.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto fp_types = get_tested_types<tested_types::fp>();
+  const auto uint_types = get_tested_types<tested_types::uint>();
+  const auto sint_types = get_tested_types<tested_types::sint>();
+  const auto core_types = get_tested_types<tested_types::core>();
+  const auto single_size = get_sizes<1, 8>();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  // Run for specific combinations of types, vector length, base and step values
+  // and invocation contexts.
+  // The first types is the source types. the second types is the destination
+  // types.
+  passed &= for_all_combinations<ctors::run_test>(fp_types, single_size,
+                                                  fp_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(fp_types, single_size,
+                                                  uint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(fp_types, single_size,
+                                                  sint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(uint_types, single_size,
+                                                  core_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(sint_types, single_size,
+                                                  uint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(sint_types, single_size,
+                                                  sint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(sint_types, single_size,
+                                                  fp_types, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting_fp_extra.cpp
new file mode 100644
index 0000000000000..7af50e04e439f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_converting_fp_extra.cpp
@@ -0,0 +1,67 @@
+//==------- ctor_converting_fp_extra.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd converting constructor for extra fp types.
+// This test uses extra fp data types with different dimensionality, base and
+// step values and different simd constructor invocation contexts.
+// The test do the following actions:
+//  - construct simd with source data type, then construct simd with destination
+//    type from the earlier constructed simd
+//  - compare retrieved and expected values
+
+#include "ctor_converting.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto fp_types = get_tested_types<tested_types::fp_extra>();
+  const auto uint_types = get_tested_types<tested_types::uint>();
+  const auto sint_types = get_tested_types<tested_types::sint>();
+  const auto core_types = get_tested_types<tested_types::core>();
+  const auto single_size = get_sizes<1, 8>();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  // Run for specific combinations of types, vector length, base and step values
+  // and invocation contexts.
+  // The first types is the source types. the second types is the destination
+  // types.
+  passed &= for_all_combinations<ctors::run_test>(fp_types, single_size,
+                                                  fp_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(fp_types, single_size,
+                                                  uint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(fp_types, single_size,
+                                                  sint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(uint_types, single_size,
+                                                  core_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(sint_types, single_size,
+                                                  uint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(sint_types, single_size,
+                                                  sint_types, contexts, queue);
+  passed &= for_all_combinations<ctors::run_test>(sint_types, single_size,
+                                                  fp_types, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy.hpp
new file mode 100644
index 0000000000000..403acb4f10823
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy.hpp
@@ -0,0 +1,160 @@
+//===-- ctor_copy.hpp - Functions for tests on simd copy constructor definition.
+//      -------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd copy constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> source_simd;
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> simd_by_init =
+        esimd::simd<DataT, NumElems>(source_simd);
+    simd_by_init.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> source_simd;
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> simd_by_var_decl(source_simd);
+    simd_by_var_decl.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> source_simd;
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DataT, NumElems>(source_simd);
+    simd_by_rval.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> source_simd;
+    source_simd.copy_from(ref_data);
+    call_simd_by_const_ref<DataT, NumElems>(
+        esimd::simd<DataT, NumElems>(source_simd), out);
+  }
+
+private:
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename DataT, typename SizeT, typename TestCaseT> class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = ctors::TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed = run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed = run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *const out = result.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            TestCaseT::template call_simd_ctor<DataT, NumElems>(ref, out);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      const auto &expected = ref_data[i];
+      const auto &retrieved = result[i];
+
+      if (!are_bitwise_equal(expected, retrieved)) {
+        passed = false;
+        log::fail(TestDescriptionT(data_type), "Unexpected value at index ", i,
+                  ", retrieved: ", retrieved, ", expected: ", expected);
+      }
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy_core.cpp
new file mode 100644
index 0000000000000..cef770cea97ed
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy_core.cpp
@@ -0,0 +1,47 @@
+//==------- ctor_copy_core.cpp  - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd copy constructor.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test do the following actions:
+//  - construct simd object with golden values calls copy constructor from
+//    constructed simd object
+//  - bitwise comparing expected and retrieved values
+
+#include "ctor_copy.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy_fp_extra.cpp
new file mode 100644
index 0000000000000..6e5e1c39a3cd7
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_copy_fp_extra.cpp
@@ -0,0 +1,47 @@
+//==------- ctor_copy_fp_extra.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd copy constructor.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test do the following actions:
+//  - construct simd object with golden values calls copy constructor from
+//    constructed simd object
+//  - bitwise comparing expected and retrieved values
+
+#include "ctor_copy.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default.hpp
new file mode 100644
index 0000000000000..c8399cb3786f9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default.hpp
@@ -0,0 +1,117 @@
+//===-- ctor_copy.hpp - Functions for tests on simd copy constructor definition.
+//      -------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd copy constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT *const output_data) {
+    const auto simd_by_init = esimd::simd<DataT, NumElems>();
+    simd_by_init.copy_to(output_data);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT *const output_data) {
+    esimd::simd<DataT, NumElems> simd_by_var_decl;
+    simd_by_var_decl.copy_to(output_data);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT *const output_data) {
+    esimd::simd<DataT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DataT, NumElems>();
+    simd_by_rval.copy_to(output_data);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context
+struct const_ref {
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *output_data) {
+    simd_by_const_ref.copy_to(output_data);
+  }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT *const output_data) {
+    call_simd_by_const_ref<DataT, NumElems>(esimd::simd<DataT, NumElems>(),
+                                            output_data);
+  }
+};
+
+// Struct that calls simd in provided context and then verifies obtained result.
+template <typename DataT, typename SizeT, typename TestCaseT> struct run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = ctors::TestDescription<NumElems, TestCaseT>;
+
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    // We use it to avoid empty functions being optimized out by compiler
+    // checking the result of the simd calling because values of the constructed
+    // object's elements are undefined.
+    shared_vector<DataT> result(NumElems, shared_allocator<DataT>(queue));
+    // We do not re-throw an exception to test all combinations of types and
+    // vector sizes.
+    try {
+      queue.submit([&](sycl::handler &cgh) {
+        DataT *const out = result.data();
+        cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+            [=]() SYCL_ESIMD_KERNEL {
+              TestCaseT::template call_simd_ctor<DataT, NumElems>(out);
+            });
+      });
+      queue.wait_and_throw();
+    } catch (const sycl::exception &e) {
+      passed = false;
+      log::fail(TestDescriptionT(data_type), "A SYCL exception was caught: ",
+                e.what());
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default_core.cpp
new file mode 100644
index 0000000000000..a8d5f31fed100
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default_core.cpp
@@ -0,0 +1,47 @@
+//==------- ctor_default_core.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd default constructor.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test do the following actions:
+//  - call simd default constructor
+//  - verify that values from simd is equal to default value of provided
+//    underlying type
+
+#include "ctor_default.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default_fp_extra.cpp
new file mode 100644
index 0000000000000..6179be2e5ae86
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_default_fp_extra.cpp
@@ -0,0 +1,47 @@
+//==------- ctor_default_fp_extra.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd default constructor.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test do the following actions:
+//  - call simd default constructor
+//  - verify that values from simd is equal to default value of provided
+//    underlying type
+
+#include "ctor_default.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill.hpp
new file mode 100644
index 0000000000000..8ae03e7a9a577
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill.hpp
@@ -0,0 +1,284 @@
+//===-- ctor_fill.hpp - Functions for tests on simd fill constructor
+//      definition. -------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd fill constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "common.hpp"
+#include <cassert>
+// For std::isnan
+#include <cmath>
+
+namespace esimd = sycl::ext::intel::esimd;
+namespace esimd_functional = esimd_test::api::functional;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT init_value, DataT step, DataT *const out) {
+    const auto simd_by_init = esimd::simd<DataT, NumElems>(init_value, step);
+    simd_by_init.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT init_value, DataT step, DataT *const out) {
+    const esimd::simd<DataT, NumElems> simd_by_var_decl(init_value, step);
+    simd_by_var_decl.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT init_value, DataT step, DataT *const out) {
+    esimd::simd<DataT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DataT, NumElems>(init_value, step);
+    simd_by_rval.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(DataT init_value, DataT step, DataT *const out) {
+    return call_simd_by_const_ref<DataT, NumElems>(
+        esimd::simd<DataT, NumElems>(init_value, step), out);
+  }
+
+private:
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *const out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+// Enumeration of possible values for base value and step that will be provided
+// into simd constructor.
+enum class init_val {
+  min,
+  max,
+  zero,
+  min_half,
+  max_half,
+  neg_inf,
+  nan,
+  positive,
+  negative,
+  denorm,
+  inexact,
+  ulp,
+  ulp_half
+};
+
+// Class used as a kernel ID.
+template <typename DataT, int NumElems, typename T, init_val BaseVal,
+          init_val StepVal>
+struct kernel_for_fill;
+
+// Constructing a value for step and base values that depends on input
+// parameters.
+template <typename DataT, init_val Value>
+DataT get_value(DataT base_val = DataT()) {
+  if constexpr (Value == init_val::min) {
+    return value<DataT>::lowest();
+  } else if constexpr (Value == init_val::max) {
+    return value<DataT>::max();
+  } else if constexpr (Value == init_val::zero) {
+    return 0;
+  } else if constexpr (Value == init_val::positive) {
+    return static_cast<DataT>(1.25);
+  } else if constexpr (Value == init_val::negative) {
+    return static_cast<DataT>(-10.75);
+  } else if constexpr (Value == init_val::min_half) {
+    return value<DataT>::lowest() / 2;
+  } else if constexpr (Value == init_val::max_half) {
+    return value<DataT>::max() / 2;
+  } else if constexpr (Value == init_val::neg_inf) {
+    return -value<DataT>::inf();
+  } else if constexpr (Value == init_val::nan) {
+    return value<DataT>::nan();
+  } else if constexpr (Value == init_val::denorm) {
+    return value<DataT>::denorm_min();
+  } else if constexpr (Value == init_val::inexact) {
+    return 0.1;
+  } else if constexpr (Value == init_val::ulp) {
+    return value<DataT>::pos_ulp(base_val);
+  } else if constexpr (Value == init_val::ulp_half) {
+    return value<DataT>::pos_ulp(base_val) / 2;
+  } else {
+    static_assert(Value != Value, "Unexpected enum value");
+  }
+}
+
+inline std::string init_val_to_string(init_val val) {
+  switch (val) {
+  case init_val::min:
+    return "lowest";
+    break;
+  case init_val::max:
+    return "max";
+    break;
+  case init_val::zero:
+    return "zero";
+    break;
+  case init_val::positive:
+    return "positive";
+    break;
+  case init_val::negative:
+    return "negative";
+    break;
+  case init_val::min_half:
+    return "min_half";
+    break;
+  case init_val::max_half:
+    return "max_half";
+    break;
+  case init_val::neg_inf:
+    return "neg_inf";
+    break;
+  case init_val::nan:
+    return "nan";
+    break;
+  case init_val::denorm:
+    return "denorm";
+    break;
+  case init_val::inexact:
+    return "inexact";
+    break;
+  case init_val::ulp:
+    return "ulp";
+    break;
+  case init_val::ulp_half:
+    return "ulp_half";
+    break;
+  default:
+    assert(false && "Unexpected enum value");
+  };
+  return "n/a";
+}
+
+template <int NumElems, typename ContextT>
+class FillCtorTestDescription : public ITestDescription {
+public:
+  FillCtorTestDescription(const std::string &data_type, init_val base_val,
+                          init_val step)
+      : m_description(data_type), m_base_val(base_val), m_step(step) {}
+
+  std::string to_string() const override {
+    std::string log_msg = m_description.to_string();
+
+    log_msg += ", with base value: " + init_val_to_string(m_base_val);
+    log_msg += ", with step value: " + init_val_to_string(m_step);
+
+    return log_msg;
+  }
+
+private:
+  const ctors::TestDescription<NumElems, ContextT> m_description;
+  const init_val m_base_val;
+  const init_val m_step;
+};
+
+template <init_val... Values> auto get_init_values_pack() {
+  return value_pack<init_val, Values...>::generate_unnamed();
+}
+
+template <typename DataT, typename SizeT, typename TestCaseT, typename BaseValT,
+          typename StepT>
+class run_test {
+  static constexpr int NumElems = SizeT::value;
+  static constexpr init_val BaseVal = BaseValT::value;
+  static constexpr init_val Step = StepT::value;
+  using KernelT = kernel_for_fill<DataT, NumElems, TestCaseT, BaseVal, Step>;
+  using TestDescriptionT = FillCtorTestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type, BaseVal, Step);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    shared_vector<DataT> result(NumElems, shared_allocator<DataT>(queue));
+
+    const auto base_value = get_value<DataT, BaseVal>();
+    const auto step_value = get_value<DataT, Step>(base_value);
+
+    queue.submit([&](sycl::handler &cgh) {
+      DataT *const out = result.data();
+
+      cgh.single_task<KernelT>([=]() SYCL_ESIMD_KERNEL {
+        TestCaseT::template call_simd_ctor<DataT, NumElems>(base_value,
+                                                            step_value, out);
+      });
+    });
+    queue.wait_and_throw();
+
+    // Verify the base value was passed as-is
+    if (!are_bitwise_equal(result[0], base_value)) {
+      passed = false;
+      log::fail(TestDescriptionT(data_type, BaseVal, Step),
+                "Unexpected value at index 0, retrieved: ", result[0],
+                ", expected: ", base_value);
+    }
+
+    // Verify the step value works as expected being passed to the fill
+    // constructor.
+    DataT expected_value = base_value;
+    for (size_t i = 1; i < result.size(); ++i) {
+      if constexpr (BaseVal == init_val::nan || Step == init_val::nan) {
+
+        if (!std::isnan(result[i])) {
+          passed = false;
+          log::fail(TestDescriptionT(data_type, BaseVal, Step),
+                    "Unexpected value at index ", i, ", retrieved: ", result[i],
+                    ", expected: any NaN value");
+        }
+      } else {
+
+        expected_value += step_value;
+        if (!are_bitwise_equal(result[i], expected_value)) {
+          passed = false;
+          log::fail(TestDescriptionT(data_type, BaseVal, Step),
+                    "Unexpected value at index ", i, ", retrieved: ", result[i],
+                    ", expected: ", expected_value);
+        }
+      }
+    }
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_accuracy_fp.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_accuracy_fp.cpp
new file mode 100644
index 0000000000000..43ae37c0080fc
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_accuracy_fp.cpp
@@ -0,0 +1,66 @@
+//==------- ctor_fill_accuracy_fp.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// TODO simd<float, 32> fills with unexpected values while base value is denorm
+// and step is ulp. The SIMD_RUN_TEST_WITH_DENORM_INIT_VAL_AND_ULP_STEP macros
+// must be enabled when it is resolved.
+//
+// The test verifies that simd fill constructor has no precision differences.
+// The test do the following actions:
+//  - call simd with predefined base and step values
+//  - bitwise comparing that output[0] value is equal to base value and
+//    output[i] is equal to output[i -1] + step_value
+
+#include "ctor_fill.hpp"
+
+using namespace esimd_test::api::functional;
+using init_val = ctors::init_val;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  // Using single size and context to verify the accuracy of operations
+  // with floating point data types
+  const auto types = get_tested_types<tested_types::fp>();
+  const auto single_size = get_sizes<8>();
+  const auto context = unnamed_type_pack<ctors::var_decl>::generate();
+
+// Run for specific combinations of types, base and step values and vector
+// length.
+#ifdef SIMD_RUN_TEST_WITH_DENORM_INIT_VAL_AND_ULP_STEP
+  {
+    const auto base_values = ctors::get_init_values_pack<init_val::denorm>();
+    const auto step_values = ctors::get_init_values_pack<init_val::ulp>();
+    passed &= for_all_combinations<ctors::run_test>(
+        types, single_size, context, base_values, step_values, queue);
+  }
+#endif
+  {
+    const auto base_values =
+        ctors::get_init_values_pack<init_val::inexact, init_val::min>();
+    const auto step_values =
+        ctors::get_init_values_pack<init_val::ulp, init_val::ulp_half>();
+    passed &= for_all_combinations<ctors::run_test>(
+        types, single_size, context, base_values, step_values, queue);
+  }
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_accuracy_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_accuracy_fp_extra.cpp
new file mode 100644
index 0000000000000..80abcb54eebbe
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_accuracy_fp_extra.cpp
@@ -0,0 +1,68 @@
+//==------- ctor_fill_accuracy_fp_extra.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// TODO simd<float, 32> fills with unexpected values while base value is denorm
+// and step is ulp. The SIMD_RUN_TEST_WITH_DENORM_INIT_VAL_AND_ULP_STEP macros
+// must be enabled when it is resolved.
+//
+// The test verifies that simd fill constructor has no precision differences.
+// The test do the following actions:
+//  - call simd with predefined base and step values
+//  - bitwise comparing that output[0] value is equal to base value and
+//    output[i] is equal to output[i -1] + step_value
+
+#include "ctor_fill.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto single_size = get_sizes<8>();
+  const auto context = unnamed_type_pack<ctors::var_decl>::generate();
+// Run for specific combinations of types, base and step values and vector
+// length.
+// The first init_val value it's a base value and the second init_val value
+// it's a step value.
+#ifdef SIMD_RUN_TEST_WITH_DENORM_INIT_VAL_AND_ULP_STEP
+  {
+    const auto base_values =
+        ctors::get_init_values_pack<ctors::init_val::denorm>();
+    const auto step_values =
+        ctors::get_init_values_pack<ctors::init_val::ulp>();
+    passed &= for_all_combinations<ctors::run_test>(
+        types, single_size, context, base_values, step_values, queue);
+  }
+#endif
+  {
+    const auto base_values =
+        ctors::get_init_values_pack<ctors::init_val::inexact,
+                                    ctors::init_val::min>();
+    const auto step_values =
+        ctors::get_init_values_pack<ctors::init_val::ulp,
+                                    ctors::init_val::ulp_half>();
+    passed &= for_all_combinations<ctors::run_test>(
+        types, single_size, context, base_values, step_values, queue);
+  }
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_core.cpp
new file mode 100644
index 0000000000000..2a61059963555
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_core.cpp
@@ -0,0 +1,152 @@
+//==------- ctor_fill_core.cpp  - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd fill constructor for core types.
+// This test uses different data types, sizes, base and step values and
+// different simd constructor invocation contexts. The test do the following
+// actions:
+//  - construct simd with pre-defined base and step value
+//  - bitwise comparing expected and retrieved values
+
+#include "ctor_fill.hpp"
+
+using namespace esimd_test::api::functional;
+using init_val = ctors::init_val;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+  // Checks are run for specific combinations of types, vector length,
+  // invocation contexts, base and step values accumulating the result in
+  // boolean flag.
+
+  {
+    // Validate basic functionality works for every invocation context
+    const auto types = named_type_pack<char, int>::generate("char", "int");
+    const auto sizes = get_sizes<1, 8>();
+    const auto contexts =
+        unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                          ctors::rval_in_expr, ctors::const_ref>::generate();
+    {
+      const auto base_values =
+          ctors::get_init_values_pack<init_val::min_half>();
+      const auto step_values = ctors::get_init_values_pack<init_val::zero>();
+      passed &= for_all_combinations<ctors::run_test>(
+          types, sizes, contexts, base_values, step_values, queue);
+    }
+    {
+      const auto base_values =
+          ctors::get_init_values_pack<init_val::min_half, init_val::zero>();
+      const auto step_values =
+          ctors::get_init_values_pack<init_val::positive>();
+      passed &= for_all_combinations<ctors::run_test>(
+          types, sizes, contexts, base_values, step_values, queue);
+    }
+  }
+  {
+    // Validate basic functionality works for every type
+
+    const auto types = get_tested_types<tested_types::core>();
+    const auto sizes = get_all_sizes();
+    const auto contexts = unnamed_type_pack<ctors::var_decl>::generate();
+    {
+      const auto base_values =
+          ctors::get_init_values_pack<init_val::min, init_val::max_half>();
+      const auto step_values = ctors::get_init_values_pack<init_val::zero>();
+      passed &= for_all_combinations<ctors::run_test>(
+          types, sizes, contexts, base_values, step_values, queue);
+    }
+    {
+      const auto base_values =
+          ctors::get_init_values_pack<init_val::zero, init_val::max_half>();
+      const auto step_values =
+          ctors::get_init_values_pack<init_val::positive, init_val::negative>();
+      passed &= for_all_combinations<ctors::run_test>(
+          types, sizes, contexts, base_values, step_values, queue);
+    }
+  }
+  {
+    // Verify specific cases for different type groups
+    const auto sizes = get_sizes<8>();
+    const auto contexts = unnamed_type_pack<ctors::var_decl>::generate();
+    {
+      const auto types = get_tested_types<tested_types::uint>();
+      {
+        const auto base_values =
+            ctors::get_init_values_pack<init_val::min, init_val::max>();
+        const auto step_values =
+            ctors::get_init_values_pack<init_val::positive,
+                                        init_val::negative>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+    }
+    {
+      const auto types = get_tested_types<tested_types::sint>();
+      {
+        const auto base_values = ctors::get_init_values_pack<init_val::min>();
+        const auto step_values =
+            ctors::get_init_values_pack<init_val::positive>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+      {
+        const auto base_values = ctors::get_init_values_pack<init_val::max>();
+        const auto step_values =
+            ctors::get_init_values_pack<init_val::negative>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+    }
+    {
+      const auto types = get_tested_types<tested_types::fp>();
+      {
+        const auto base_values =
+            ctors::get_init_values_pack<init_val::neg_inf>();
+        const auto step_values = ctors::get_init_values_pack<init_val::max>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+      {
+        const auto base_values = ctors::get_init_values_pack<init_val::max>();
+        const auto step_values =
+            ctors::get_init_values_pack<init_val::neg_inf>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+      {
+        const auto base_values = ctors::get_init_values_pack<init_val::nan>();
+        const auto step_values =
+            ctors::get_init_values_pack<init_val::negative>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+      {
+        const auto base_values =
+            ctors::get_init_values_pack<init_val::negative>();
+        const auto step_values = ctors::get_init_values_pack<init_val::nan>();
+        passed &= for_all_combinations<ctors::run_test>(
+            types, sizes, contexts, base_values, step_values, queue);
+      }
+    }
+  }
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_fp_extra.cpp
new file mode 100644
index 0000000000000..cb362490e32ab
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_fill_fp_extra.cpp
@@ -0,0 +1,58 @@
+//==------- ctor_fill_fp_extra.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd fill constructor for extra fp types.
+// This test uses extra fp data types with different sizes, base and step values
+// and different simd constructor invocation contexts.
+// The test do the following actions:
+//  - construct simd with pre-defined base and step value
+//  - bitwise comparing expected and retrieved values
+
+#include "ctor_fill.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto fp_types = get_tested_types<tested_types::fp_extra>();
+  const auto single_size = get_sizes<8>();
+  const auto contexts = unnamed_type_pack<ctors::var_decl>::generate();
+
+  passed &= for_all_combinations<ctors::run_test>(
+      fp_types, single_size, contexts,
+      ctors::get_init_values_pack<ctors::init_val::neg_inf>(),
+      ctors::get_init_values_pack<ctors::init_val::zero>(), queue);
+  passed &= for_all_combinations<ctors::run_test>(
+      fp_types, single_size, contexts,
+      ctors::get_init_values_pack<ctors::init_val::max>(),
+      ctors::get_init_values_pack<ctors::init_val::neg_inf>(), queue);
+  passed &= for_all_combinations<ctors::run_test>(
+      fp_types, single_size, contexts,
+      ctors::get_init_values_pack<ctors::init_val::nan>(),
+      ctors::get_init_values_pack<ctors::init_val::negative>(), queue);
+  passed &= for_all_combinations<ctors::run_test>(
+      fp_types, single_size, contexts,
+      ctors::get_init_values_pack<ctors::init_val::zero>(),
+      ctors::get_init_values_pack<ctors::init_val::nan>(), queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load.hpp
new file mode 100644
index 0000000000000..46c703c00950f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load.hpp
@@ -0,0 +1,82 @@
+//===-- ctor_load.hpp - Functions for tests on simd load constructor.
+//      -------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd load constructor
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "common.hpp"
+
+#include <string>
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Dummy kernel for submitting some code into device side.
+template <typename DataT, int NumElems, typename T, typename Alignment>
+struct Kernel_for_load_ctor;
+
+// Alignment tags
+namespace alignment {
+
+struct element {
+  static std::string to_string() { return "element_aligned"; }
+  template <typename DataT, int> static constexpr size_t get_size() {
+    return alignof(DataT);
+  }
+  static constexpr auto get_value() { return esimd::element_aligned; }
+};
+
+struct vector {
+  static std::string to_string() { return "vector_aligned"; }
+  template <typename DataT, int NumElems> static constexpr size_t get_size() {
+    // Referring to the simd class specialization on the host side is by design.
+    return alignof(esimd::simd<DataT, NumElems>);
+  }
+  static constexpr auto get_value() { return esimd::vector_aligned; }
+};
+
+template <unsigned int size> struct overal {
+  static std::string to_string() {
+    return "overaligned<" + std::to_string(size) + ">";
+  }
+
+  template <typename DataT, int> static constexpr size_t get_size() {
+    static_assert(size % alignof(DataT) == 0,
+                  "Unsupported data type alignment");
+    return size;
+  }
+
+  static constexpr auto get_value() { return esimd::overaligned<size>; }
+};
+
+} // namespace alignment
+
+// Detailed test case description to use for logs
+template <int NumElems, typename TestCaseT>
+class LoadCtorTestDescription : public ITestDescription {
+public:
+  LoadCtorTestDescription(const std::string &data_type,
+                          const std::string &alignment_name)
+      : m_description(data_type), m_alignment_name(alignment_name) {}
+
+  std::string to_string() const override {
+    return m_description.to_string() + ", with alignment: " + m_alignment_name;
+  }
+
+private:
+  const ctors::TestDescription<NumElems, TestCaseT> m_description;
+  const std::string m_alignment_name;
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc.hpp
new file mode 100644
index 0000000000000..a89a485b3f39b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc.hpp
@@ -0,0 +1,274 @@
+//===-- ctor_load_acc.hpp - Generic code for tests on simd load constructors
+//      from accessor -----------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd load constructor from
+/// accessor
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "../sycl_accessor.hpp"
+#include "../sycl_range.hpp"
+#include "ctor_load.hpp"
+
+#include <cassert>
+#include <cstring>
+#include <memory>
+#include <sstream>
+
+namespace esimd_test::api::functional::ctors {
+
+// Utility class for offset generation based on alignment and multiplicator
+// given
+// Offset should be a multiplier of alignment for simd load constructor to work
+// as expected
+template <unsigned int multiplicator> struct offset_generator {
+  template <typename AlignmentT, typename DataT, int VecSize>
+  static constexpr unsigned int get() {
+    return multiplicator * AlignmentT::template get_size<DataT, VecSize>();
+  }
+};
+
+// Descriptor class for constructor call within initializer context
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems, typename AccessorT,
+            typename AlignmentT>
+  static void call_simd_ctor(DataT *const out, const AccessorT &acc,
+                             unsigned int offset, AlignmentT alignment) {
+    const auto instance = esimd::simd<DataT, NumElems>(acc, offset, alignment);
+    instance.copy_to(out);
+  }
+};
+
+// Descriptor class for constructor call within variable declaration context
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems, typename AccessorT,
+            typename AlignmentT>
+  static void call_simd_ctor(DataT *const out, const AccessorT &acc,
+                             unsigned int offset, AlignmentT alignment) {
+    esimd::simd<DataT, NumElems> instance(acc, offset, alignment);
+    instance.copy_to(out);
+  }
+};
+
+// Descriptor class for constructor call within r-value in an expression context
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems, typename AccessorT,
+            typename AlignmentT>
+  static void call_simd_ctor(DataT *const out, const AccessorT &acc,
+                             unsigned int offset, AlignmentT alignment) {
+    esimd::simd<DataT, NumElems> instance;
+    instance = esimd::simd<DataT, NumElems>(acc, offset, alignment);
+    instance.copy_to(out);
+  }
+};
+
+// Descriptor class for constructor call within const reference context
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems, typename AccessorT,
+            typename AlignmentT>
+  static void call_simd_ctor(DataT *const out, const AccessorT &acc,
+                             unsigned int offset, AlignmentT alignment) {
+    call_simd_by_const_ref<DataT, NumElems>(
+        esimd::simd<DataT, NumElems>(acc, offset, alignment), out);
+  }
+
+private:
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *const out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+// Test case description for logging purposes
+template <int VecSize, typename ContextT>
+struct LoadCtorAccTestDescription : public ITestDescription {
+  using BaseT = ctors::LoadCtorTestDescription<VecSize, ContextT>;
+
+public:
+  LoadCtorAccTestDescription(const std::string &vec_data_name, int dims,
+                             const std::string &acc_mode_name,
+                             const std::string &acc_target_name,
+                             unsigned int offset,
+                             const std::string &alignment_name) {
+    std::ostringstream stream;
+
+    using BaseDescriptionT = ctors::LoadCtorTestDescription<VecSize, ContextT>;
+    const BaseDescriptionT base_description(vec_data_name, alignment_name);
+    const AccessorDescription accessor_description(
+        vec_data_name, dims, acc_mode_name, acc_target_name);
+
+    stream << base_description.to_string();
+    stream << ", with offset " << log::stringify(offset);
+    stream << ", from " << accessor_description.to_string();
+
+    m_description = stream.str();
+  }
+
+  std::string to_string() const override { return m_description; }
+
+private:
+  std::string m_description;
+};
+
+// The main test routine
+//
+template <typename DataT, typename VecSizeT, typename AccDimsT,
+          typename AccModeT, typename AccTargetT, typename ContextT,
+          typename OffsetGeneratorT, typename AlignmentT>
+class run_test {
+  static constexpr int VecSize = VecSizeT::value;
+  static constexpr int AccDims = AccDimsT::value;
+  static constexpr sycl::access_mode AccMode = AccModeT::value;
+  static constexpr sycl::target AccTarget = AccTargetT::value;
+  static constexpr auto Offset =
+      OffsetGeneratorT::template get<AlignmentT, DataT, VecSize>();
+
+  using SimdT = esimd::simd<DataT, VecSize>;
+  using AccessorT = sycl::accessor<DataT, AccDims, AccMode, AccTarget>;
+  using TestDescriptionT = LoadCtorAccTestDescription<VecSize, ContextT>;
+  using KernelT = Kernel<DataT, VecSize, AccDimsT, AccModeT, AccTargetT,
+                         ContextT, OffsetGeneratorT, AlignmentT>;
+
+  static_assert(AccTarget == sycl::target::device,
+                "Accessor target is not supported");
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &vec_data_name,
+                  const std::string &acc_mode_name,
+                  const std::string &acc_target_name,
+                  const std::string &alignment_name) {
+    // Define the mapping between parameters retrieved and test descriptor
+    // arguments for logging purposes
+    return run(queue, /* The rest are the test description parameters */
+               vec_data_name, AccDims, acc_mode_name, acc_target_name, Offset,
+               alignment_name);
+  }
+
+private:
+  template <typename... TestDescriptionArgsT>
+  inline bool run(sycl::queue &queue, TestDescriptionArgsT &&...args) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(std::forward<TestDescriptionArgsT>(args)...);
+
+    if (should_skip_test_with<DataT>(queue.get_device()))
+      return passed;
+
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, VecSize>();
+
+    if constexpr (VecSize == 1) {
+      // Ensure simd load constructor works as expected with every value from
+      // reference data
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed = run_with_data(queue, {ref_data[i]},
+                               std::forward<TestDescriptionArgsT>(args)...);
+      }
+    } else {
+      passed = run_with_data(queue, ref_data,
+                             std::forward<TestDescriptionArgsT>(args)...);
+    }
+    return passed;
+  }
+
+  template <typename... TestDescriptionArgsT>
+  bool run_with_data(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                     TestDescriptionArgsT... args) {
+    assert(ref_data.size() == VecSize &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+    std::vector<DataT> container;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(VecSize, allocator);
+
+    // Fill container with reference data using the pointer modified accordingly
+    // to the offset parameter of the load constructor
+    {
+      const size_t extra_space =
+          (Offset / sizeof(DataT)) + (Offset % sizeof(DataT) > 0);
+      container.resize(VecSize + extra_space);
+      log::debug([&]() {
+        return " ... using container with " + log::stringify(container.size()) +
+               " elements";
+      });
+
+      // We don't break the strict aliasing rule according to the C++17
+      // [basic.lval]
+      auto ptr = reinterpret_cast<unsigned char *>(container.data());
+      std::memset(ptr, 0, Offset);
+      ptr += Offset;
+      std::memcpy(ptr, ref_data.data(), VecSize * sizeof(DataT));
+      // No initialization for the rest of the bytes to simplify the code
+
+      // Now container has the reference elements starting from the offset byte,
+      // with all preceding bytes filled by zero.
+      // No other modification required, as the simd load constructor doesn't
+      // actually work with alignment of input data
+    }
+
+    // Call simd constructor and fill the result vector
+    {
+      const auto range = get_sycl_range<AccDims>(container.size());
+      sycl::buffer<DataT, AccDims> buffer(container.data(), range);
+      log::debug([&]() {
+        return " ... using sycl::buffer with " + log::stringify(range) +
+               " to access container";
+      });
+      assert((container.size() == range.size()) && "Unexpected range");
+
+      queue.submit([&](sycl::handler &cgh) {
+        const AccessorT acc =
+            buffer.template get_access<AccMode, AccTarget>(cgh);
+        DataT *const out = result.data();
+
+        cgh.single_task<KernelT>([=]() SYCL_ESIMD_KERNEL {
+          // This alignment affect only the internal simd storage
+          // efficiency; no any test failure expected with any alignment
+          // provided for every possible case
+          const auto alignment = AlignmentT::get_value();
+          ContextT::template call_simd_ctor<DataT, VecSize>(out, acc, Offset,
+                                                            alignment);
+        });
+      });
+      queue.wait_and_throw();
+    }
+
+    // Validate results
+    for (size_t i = 0; i < result.size(); ++i) {
+      const auto &expected = ref_data[i];
+      const auto &retrieved = result[i];
+
+      if (!are_bitwise_equal(expected, retrieved)) {
+        passed = false;
+
+        log::fail(TestDescriptionT(std::forward<TestDescriptionArgsT>(args)...),
+                  "Unexpected value at index ", i, ", retrieved: ", retrieved,
+                  ", expected: ", expected);
+      }
+    }
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_core.cpp
new file mode 100644
index 0000000000000..1aece8f318ad9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_core.cpp
@@ -0,0 +1,78 @@
+//==------- ctor_load_acc_core.cpp  - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd load from accessor constructor.
+// The test uses reference data and different alignment flags. Invokes simd
+// constructors in different contexts with provided reference data and alignment
+// flag using accessor as input.
+// It is expected for destination simd instance to store a bitwise same data as
+// the reference one.
+
+#include "ctor_load_acc.hpp"
+#include "ctor_load_acc_coverage.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  // Define input for simd<T,N> combinations
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+
+  // Define input for sycl::accessor<T,Dims,Mode,Target> type combinations
+  const auto acc_dims = ctors::coverage::get_all_dimensions();
+  const auto acc_modes = ctors::coverage::get_all_modes();
+  const auto acc_targets = ctors::coverage::get_all_targets();
+
+  // Define input for constructor calls
+  // Offset generator is used to have offset to be multiplier of alignment flag
+  const auto contexts = ctors::coverage::get_all_contexts();
+  const auto offset_generators = ctors::coverage::get_all_offset_generators();
+
+  // Run over all types with element and vector alignment
+  // Using overaligned tag with alignment requirements appropriate for any
+  // type from the type coverage
+  {
+    constexpr auto oword = 16;
+    const auto alignments =
+        named_type_pack<ctors::alignment::element, ctors::alignment::vector,
+                        ctors::alignment::overal<oword>>::generate();
+
+    // Run for all combinations possible
+    passed &= for_all_combinations<ctors::run_test>(
+        types, sizes, acc_dims, acc_modes, acc_targets, contexts,
+        offset_generators, alignments, queue);
+  }
+  {
+    // Smoke test for simple data load and for power-of-two requirement
+    const auto single_alignment =
+        named_type_pack<ctors::alignment::overal<1>>::generate();
+    const auto single_type =
+        named_type_pack<signed char>::generate("signed char");
+
+    passed &= for_all_combinations<ctors::run_test>(
+        single_type, sizes, acc_dims, acc_modes, acc_targets, contexts,
+        offset_generators, single_alignment, queue);
+  }
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_coverage.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_coverage.hpp
new file mode 100644
index 0000000000000..a8c8a30c335d6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_coverage.hpp
@@ -0,0 +1,66 @@
+//===-- ctor_load_acc_coverage.hpp - Define coverage for ctor_load_acc tests
+//      -------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// As we generally need to duplicate coverage for core and fp_extra types, it's
+/// better to have some common place to store type and value packs definition
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../sycl_accessor.hpp"
+#include "ctor_load_acc.hpp"
+
+namespace esimd_test::api::functional::ctors::coverage {
+
+//----------------------------------------------------------------------------//
+// Define input for sycl::accessor<T,Dims,Mode,Target> type combinations
+//----------------------------------------------------------------------------//
+
+inline auto get_all_dimensions() {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+  return get_accessor_dimensions();
+#else
+  // Verify both the single-dimension and multi-dimension access
+  return integer_pack<1, 3>::generate_unnamed();
+#endif
+}
+
+inline auto get_all_modes() {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+  return accessor_modes<accessor_mode_group::all_read>::generate_named();
+#else
+  // Use any single read mode from the possible ones
+  return accessor_modes<accessor_mode_group::single_read>::generate_named();
+#endif
+}
+
+inline auto get_all_targets() { return accessor_targets::generate_named(); }
+
+//----------------------------------------------------------------------------//
+// Define input for constructor calls
+//----------------------------------------------------------------------------//
+
+inline auto get_all_contexts() {
+  return unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                           ctors::rval_in_expr, ctors::const_ref>::generate();
+}
+
+inline auto get_all_offset_generators() {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+  return unnamed_type_pack<offset_generator<0>, offset_generator<1>,
+                           offset_generator<2>>::generate();
+#else
+  // Verify all cases with both zero and non-zero offsets
+  return unnamed_type_pack<offset_generator<0>,
+                           offset_generator<1>>::generate();
+#endif
+}
+} // namespace esimd_test::api::functional::ctors::coverage
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_fp_extra.cpp
new file mode 100644
index 0000000000000..478bc399e29fe
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_acc_fp_extra.cpp
@@ -0,0 +1,78 @@
+//==------- ctor_load_acc_fp_extra.cpp  - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd load from accessor constructor.
+// The test uses reference data and different alignment flags. Invokes simd
+// constructors in different contexts with provided reference data and alignment
+// flag using accessor as input.
+// It is expected for destination simd instance to store a bitwise same data as
+// the reference one.
+
+#include "ctor_load_acc.hpp"
+#include "ctor_load_acc_coverage.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  // Define input for simd<T,N> combinations
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto sizes = get_all_sizes();
+
+  // Define input for sycl::accessor<T,Dims,Mode,Target> type combinations
+  const auto acc_dims = ctors::coverage::get_all_dimensions();
+  const auto acc_modes = ctors::coverage::get_all_modes();
+  const auto acc_targets = ctors::coverage::get_all_targets();
+
+  // Define input for constructor calls
+  // Offset generator is used to have offset to be multiplier of alignment flag
+  const auto contexts = ctors::coverage::get_all_contexts();
+  const auto offset_generators = ctors::coverage::get_all_offset_generators();
+
+  // Run over all types with element and vector alignment
+  // Using overaligned tag with alignment requirements appropriate for any
+  // type from the type coverage
+  {
+    constexpr auto oword = 16;
+    const auto alignments =
+        named_type_pack<ctors::alignment::element, ctors::alignment::vector,
+                        ctors::alignment::overal<oword>>::generate();
+
+    // Run for all combinations possible
+    passed &= for_all_combinations<ctors::run_test>(
+        types, sizes, acc_dims, acc_modes, acc_targets, contexts,
+        offset_generators, alignments, queue);
+  }
+  {
+    // Byte order smoke test
+    using alignment_t = ctors::alignment::overal<2>;
+    const auto alignments = named_type_pack<alignment_t>::generate();
+    const auto single_type =
+        named_type_pack<sycl::half>::generate("sycl::half");
+
+    passed &= for_all_combinations<ctors::run_test>(
+        single_type, sizes, acc_dims, acc_modes, acc_targets, contexts,
+        offset_generators, alignments, queue);
+  }
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm.hpp
new file mode 100644
index 0000000000000..81cdd22181421
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm.hpp
@@ -0,0 +1,187 @@
+//===-- ctor_load_usm.hpp - Functions for tests on USM simd load constructor.
+//      -------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd load constructor from USM
+/// pointer
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "ctor_load.hpp"
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems, typename AlignmentT>
+  static void call_simd_ctor(const DataT *ref_data, DataT *const out,
+                             AlignmentT alignment) {
+    esimd::simd<DataT, NumElems> simd_by_init =
+        esimd::simd<DataT, NumElems>(ref_data, alignment);
+    simd_by_init.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems, typename AlignmentT>
+  static void call_simd_ctor(const DataT *ref_data, DataT *const out,
+                             AlignmentT alignment) {
+    esimd::simd<DataT, NumElems> simd_by_var_decl(ref_data, alignment);
+    simd_by_var_decl.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems, typename AlignmentT>
+  static void call_simd_ctor(const DataT *ref_data, DataT *const out,
+                             AlignmentT alignment) {
+    esimd::simd<DataT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DataT, NumElems>(ref_data, alignment);
+    simd_by_rval.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems, typename AlignmentT>
+  static void call_simd_ctor(const DataT *ref_data, DataT *const out,
+                             AlignmentT alignment) {
+    call_simd_by_const_ref<DataT, NumElems>(
+        esimd::simd<DataT, NumElems>(ref_data, alignment), out);
+  }
+
+private:
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename DataT, typename SizeT, typename TestCaseT,
+          typename AlignmentT>
+class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = LoadCtorTestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type,
+                  const std::string &alignment_name) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type, alignment_name);
+
+    if (should_skip_test_with<DataT>(queue.get_device()))
+      return passed;
+
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed =
+            run_verification(queue, {ref_data[i]}, data_type, alignment_name);
+      }
+    } else {
+      passed = run_verification(queue, ref_data, data_type, alignment_name);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type,
+                        const std::string &alignment_name) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    const size_t alignment_value =
+        AlignmentT::template get_size<DataT, NumElems>();
+    const size_t container_extra_size = alignment_value / sizeof(DataT) + 1;
+    const size_t offset = 1;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(NumElems + container_extra_size +
+                                             offset,
+                                         shared_allocator<DataT>(queue));
+
+    const size_t object_size = NumElems * sizeof(DataT);
+    size_t buffer_size = object_size + container_extra_size * sizeof(DataT);
+
+    // When we allocate USM there is a high probability that this memory will
+    // have stronger alignment that required. We increment our pointer by fixed
+    // offset value to avoid bigger alignment of USM shared.
+    // The std::align can provide expected alignment on the small values of an
+    // alignment.
+    void *ref = shared_ref_data.data() + offset;
+    if (std::align(alignment_value, object_size, ref, buffer_size) == nullptr) {
+      return false;
+    }
+    DataT *const ref_aligned = static_cast<DataT *>(ref);
+
+    for (size_t i = 0; i < NumElems; ++i) {
+      ref_aligned[i] = ref_data[i];
+    }
+
+    queue.submit([&](sycl::handler &cgh) {
+      DataT *const out = result.data();
+
+      cgh.single_task<
+          Kernel_for_load_ctor<DataT, NumElems, TestCaseT, AlignmentT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            const auto alignment = AlignmentT::get_value();
+            TestCaseT::template call_simd_ctor<DataT, NumElems>(ref_aligned,
+                                                                out, alignment);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      const auto &expected = ref_data[i];
+      const auto &retrieved = result[i];
+
+      if (!are_bitwise_equal(expected, retrieved)) {
+        passed = false;
+
+        log::fail(TestDescriptionT(data_type, alignment_name),
+                  "Unexpected value at index ", i, ", retrieved: ", retrieved,
+                  ", expected: ", expected);
+      }
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm_core.cpp
new file mode 100644
index 0000000000000..2f76e4c472b00
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm_core.cpp
@@ -0,0 +1,51 @@
+//==------- ctor_load_usm_core.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd load constructor.
+// The test uses reference data and different alignment flags. Invokes simd
+// constructors in different contexts with provided reference data and alignment
+// flag using USM pointer as input.
+// It is expected for destination simd instance to store a bitwise same data as
+// the reference one.
+
+#include "ctor_load_usm.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+  constexpr auto oword = 16;
+
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+  const auto alignments =
+      named_type_pack<ctors::alignment::element, ctors::alignment::vector,
+                      ctors::alignment::overal<oword>>::generate();
+
+  passed &= for_all_combinations<ctors::run_test>(types, sizes, contexts,
+                                                  alignments, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm_fp_extra.cpp
new file mode 100644
index 0000000000000..7237547aa7ef9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_load_usm_fp_extra.cpp
@@ -0,0 +1,51 @@
+//==------- ctor_load_usm_fp_extra.cpp  - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd load constructor.
+// The test uses reference data and different alignment flags. Invokes simd
+// constructors in different contexts with provided reference data and alignment
+// flag using USM pointer as input.
+// It is expected for destination simd instance to store a bitwise same data as
+// the reference one.
+
+#include "ctor_load_usm.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+  constexpr auto oword = 16;
+
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto dims = get_all_dimensions();
+
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+  const auto alignments =
+      named_type_pack<ctors::alignment::element, ctors::alignment::vector,
+                      ctors::alignment::overal<oword>>::generate();
+
+  passed &= for_all_combinations<ctors::run_test>(types, dims, contexts,
+                                                  alignments, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move.hpp
new file mode 100644
index 0000000000000..6805bc54b8416
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move.hpp
@@ -0,0 +1,209 @@
+//===-- ctor_move.hpp - Functions for tests on simd vector constructor
+//      definition. -------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd move constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "common.hpp"
+
+#include <algorithm>
+#include <cassert>
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Uses the initializer C++ context to call simd move constructor
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename SimdT, typename ActionT>
+  static void run(SimdT &&source, const ActionT &action) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(source)>);
+
+    const auto instance = SimdT(std::move(source));
+    action(instance);
+  }
+};
+
+// Uses the variable declaration C++ context to call simd move constructor
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename SimdT, typename ActionT>
+  static void run(SimdT &&source, const ActionT &action) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(source)>);
+
+    const auto instance(std::move(source));
+    action(instance);
+  }
+};
+
+// Uses the rvalue in expression C++ context to call simd move constructor
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in expression"; }
+
+  template <typename SimdT, typename ActionT>
+  static void run(SimdT &&source, const ActionT &action) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(source)>);
+
+    SimdT instance;
+    instance = SimdT(std::move(source));
+    action(instance);
+  }
+};
+
+// Uses the function argument C++ context to call simd move constructor
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename SimdT, typename ActionT>
+  static void run(SimdT &&source, const ActionT &action) {
+    static_assert(
+        type_traits::is_nonconst_rvalue_reference_v<decltype(source)>);
+
+    action(SimdT(std::move(source)));
+  }
+};
+
+// The core test functionality.
+// Runs a TestCaseT, specific for each C++ context, for a simd<DataT,NumElems>
+// instance
+template <typename DataT, typename SizeT, typename TestCaseT> class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using KernelName = Kernel<DataT, NumElems, TestCaseT>;
+  using TestDescriptionT = ctors::TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    bool was_moved = false;
+    log::trace<TestDescriptionT>(data_type);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    const shared_allocator<DataT> data_allocator(queue);
+    const shared_allocator<int> flags_allocator(queue);
+    const auto reference = generate_ref_data<DataT, NumElems>();
+
+    shared_vector<DataT> input(reference.cbegin(), reference.cend(),
+                               data_allocator);
+    shared_vector<DataT> result(reference.size(), data_allocator);
+
+    // We need a special handling for case of simd<T,1>, as we need to check
+    // more than a single data value; therefore we need to loop over the
+    // reference data to run test
+    if constexpr (NumElems == 1) {
+      const auto n_checks = input.size();
+      const sycl::range<1> range(n_checks);
+
+      // We need a separate flag per each check to have a parallel_for possible,
+      // because any concurrent access to the same memory location is UB, even
+      // in case we are updating variable to the same value in multiple threads
+      shared_vector<int> flags_storage(n_checks, flags_allocator);
+
+      // Run check for each of the reference elements using a single work-item
+      // per single element
+      queue.submit([&](sycl::handler &cgh) {
+        const DataT *const ptr_in = input.data();
+        const auto ptr_out = result.data();
+        const auto ptr_flags = flags_storage.data();
+
+        cgh.parallel_for<KernelName>(
+            range, [=](sycl::id<1> id) SYCL_ESIMD_KERNEL {
+              const auto work_item_index = id[0];
+              // Access a separate memory areas from each of the work items
+              const DataT *const in = ptr_in + work_item_index;
+              const auto out = ptr_out + work_item_index;
+              const auto was_moved_flag = ptr_flags + work_item_index;
+              *was_moved_flag = run_check(in, out);
+            });
+      });
+      queue.wait_and_throw();
+
+      // Oversafe: verify the proper signature was called for every check
+      was_moved = std::all_of(flags_storage.cbegin(), flags_storage.cend(),
+                              [](int flag) { return flag; });
+    } else {
+      assert((input.size() == NumElems) &&
+             "Unexpected size of the input vector");
+
+      shared_vector<int> flags_storage(1, flags_allocator);
+
+      queue.submit([&](sycl::handler &cgh) {
+        const DataT *const in = input.data();
+        const auto out = result.data();
+        const auto was_moved_flag = flags_storage.data();
+
+        cgh.single_task<KernelName>(
+            [=]() SYCL_ESIMD_KERNEL { *was_moved_flag = run_check(in, out); });
+      });
+      queue.wait_and_throw();
+
+      was_moved = flags_storage[0];
+    }
+
+    if (!was_moved) {
+      passed = false;
+      log::fail(TestDescriptionT(data_type),
+                "A copy constructor instead of a move constructor was used.");
+    } else {
+      for (size_t i = 0; i < reference.size(); ++i) {
+        const auto &retrieved = result[i];
+        const auto &expected = reference[i];
+
+        if (!are_bitwise_equal(retrieved, expected)) {
+          passed = false;
+          log::fail(TestDescriptionT(data_type), "Unexpected value at index ",
+                    i, ", retrieved: ", retrieved, ", expected: ", expected);
+        }
+      }
+    }
+
+    return passed;
+  }
+
+private:
+  // The core check logic.
+  // Uses USM pointers for input data and to store the data from the new simd
+  // instance, so that we could check it later
+  // Returns the flag that should be true only if the move constructor was
+  // actually called, to differentiate with the copy constructor calls
+  static bool run_check(const DataT *const in, DataT *const out) {
+    bool was_moved = false;
+
+    // Prepare the source simd to move
+    esimd::simd<DataT, NumElems> source;
+    source.copy_from(in);
+
+    // Action to run over the simd move constructor result
+    const auto action = [&](const esimd::simd<DataT, NumElems> &instance) {
+      was_moved = instance.get_test_proxy().was_move_destination();
+      instance.copy_to(out);
+    };
+    // Call the move constructor in the specific context and run action
+    // directly over the simd move constructor result
+    TestCaseT::template run(std::move(source), action);
+
+    return was_moved;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move_core.cpp
new file mode 100644
index 0000000000000..3715e7917cf2a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move_core.cpp
@@ -0,0 +1,54 @@
+//==------- ctor_move_core.cpp  - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// XREQUIRES: gpu
+// TODO Remove the level_zero restriction once the test is supported on other
+// platforms
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: *
+// TODO Remove XFAIL once the simd vector provides move constructor
+//
+// Test for esimd move constructor
+// The test creates source simd instance with reference data and invokes move
+// constructor in different C++ contexts to create a new simd instance from the
+// source simd instance. It is expected for a new simd instance to store
+// bitwise same data as the one passed as the source simd constructor.
+
+// The following issues for simd<T,32> observed:
+// - freeze with T in {char, unsigned char, singned char};
+// - runtime failure with T in {short, unsigned short}.
+// TODO Remove once the freeze is fixed
+#define SKIP_VECTOR_LEN_32
+
+// The test proxy is used to verify the move constructor was called actually.
+#define __ESIMD_ENABLE_TEST_PROXY
+
+#include "ctor_move.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  bool passed = true;
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  // Run test for all combinations possible
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move_fp_extra.cpp
new file mode 100644
index 0000000000000..4538173ef6d87
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_move_fp_extra.cpp
@@ -0,0 +1,48 @@
+//==------- ctor_move_fp_extra.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// XREQUIRES: gpu
+// TODO Remove the level_zero restriction once the test is supported on other
+// platforms
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: *
+// TODO Remove XFAIL once the simd vector provides move constructor
+//
+// Test for esimd move constructor
+// The test creates source simd instance with reference data and invokes move
+// constructor in different C++ contexts to create a new simd instance from the
+// source simd instance. It is expected for a new simd instance to store
+// bitwise same data as the one passed as the source simd constructor.
+
+// The test proxy is used to verify the move constructor was called actually.
+#define __ESIMD_ENABLE_TEST_PROXY
+
+#include "ctor_move.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  bool passed = true;
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  // Run test for all combinations possible
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector.hpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector.hpp
new file mode 100644
index 0000000000000..00fd1f404718b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector.hpp
@@ -0,0 +1,155 @@
+//===-- ctor_vector.hpp - Functions for tests on simd vector constructor
+//      definition. -------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd vector constructor.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::ctors {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct initializer {
+  static std::string get_description() { return "initializer"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> init_simd(ref_data);
+    const auto simd_by_init = esimd::simd<DataT, NumElems>(init_simd.data());
+    simd_by_init.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in variable declaration
+// context.
+struct var_decl {
+  static std::string get_description() { return "variable declaration"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> init_simd(ref_data);
+    esimd::simd<DataT, NumElems> simd_by_var_decl(init_simd.data());
+    simd_by_var_decl.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in rvalue in an
+// expression context.
+struct rval_in_expr {
+  static std::string get_description() { return "rvalue in an expression"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> init_simd(ref_data);
+    esimd::simd<DataT, NumElems> simd_by_rval;
+    simd_by_rval = esimd::simd<DataT, NumElems>(init_simd.data());
+    simd_by_rval.copy_to(out);
+  }
+};
+
+// Descriptor class for the case of calling constructor in const reference
+// context.
+class const_ref {
+public:
+  static std::string get_description() { return "const reference"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data, DataT *const out) {
+    esimd::simd<DataT, NumElems> init_simd(ref_data);
+    call_simd_by_const_ref<DataT, NumElems>(
+        esimd::simd<DataT, NumElems>(init_simd.data()), out);
+  }
+
+private:
+  template <typename DataT, int NumElems>
+  static void
+  call_simd_by_const_ref(const esimd::simd<DataT, NumElems> &simd_by_const_ref,
+                         DataT *out) {
+    simd_by_const_ref.copy_to(out);
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename DataT, typename SizeT, typename TestCaseT> class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = ctors::TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed &= run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed &= run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *const out = result.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            TestCaseT::template call_simd_ctor<DataT, NumElems>(ref, out);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      const auto &expected = ref_data[i];
+      const auto &retrieved = result[i];
+
+      if (!are_bitwise_equal(expected, retrieved)) {
+        passed = false;
+        log::fail(TestDescriptionT(data_type), "Unexpected value at index ", i,
+                  ", retrieved: ", retrieved, ", expected: ", expected);
+      }
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::ctors
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector_core.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector_core.cpp
new file mode 100644
index 0000000000000..df36181876292
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector_core.cpp
@@ -0,0 +1,46 @@
+//==------- ctor_vector_core.cpp  - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd constructor from vector.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test do the following actions:
+//  - call init_simd.data() to retreive vector_type and then provide it to the
+//    simd constructor
+//  - bitwise comparing expected and retrieved values
+
+#include "ctor_vector.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  const auto types = get_tested_types<tested_types::core>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  // Run test for all combinations possible
+  bool passed =
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector_fp_extra.cpp
new file mode 100644
index 0000000000000..ee7f1a2821ff7
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/ctors/ctor_vector_fp_extra.cpp
@@ -0,0 +1,48 @@
+//==------- ctor_vector_fp_extra.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd constructor from vector.
+// This test uses different data types, sizes and different simd constructor
+// invocation contexts.
+// The test do the following actions:
+//  - call init_simd.data() to retreive vector_type and then provide it to the
+//    simd constructor
+//  - bitwise comparing expected and retrieved values
+
+#include "ctor_vector.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::fp_extra>();
+  const auto sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<ctors::initializer, ctors::var_decl,
+                        ctors::rval_in_expr, ctors::const_ref>::generate();
+
+  // Run test for all combinations possible
+  passed &=
+      for_all_combinations<ctors::run_test>(types, sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/common.hpp b/sycl/test-e2e/ESIMD/api/functional/functions/common.hpp
new file mode 100644
index 0000000000000..1c4ef7615f3bd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/common.hpp
@@ -0,0 +1,40 @@
+//===-- common.hpp - Define common code for simd functions tests ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides common code for simd functions tests.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../common.hpp"
+
+namespace esimd_test::api::functional::functions {
+
+namespace esimd = sycl::ext::intel::esimd;
+
+template <int NumElems, typename ContextT>
+class TestDescription : public ITestDescription {
+public:
+  TestDescription(const std::string &data_type) : m_data_type(data_type) {}
+
+  std::string to_string() const override {
+    std::string test_description("simd<");
+
+    test_description += m_data_type + ", " + std::to_string(NumElems) + ">";
+    test_description += ", with context: " + ContextT::get_description();
+
+    return test_description;
+  }
+
+private:
+  const std::string m_data_type;
+};
+
+} // namespace esimd_test::api::functional::functions
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_1d_select.hpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_1d_select.hpp
new file mode 100644
index 0000000000000..0b38194f71fba
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_1d_select.hpp
@@ -0,0 +1,284 @@
+//===-- functions_1d_select.hpp - Functions for tests on simd rvalue select
+//      function. ---------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd 1d select function.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../shared_element.hpp"
+#include "common.hpp"
+
+// for std::numeric_limits
+#include <limits>
+// for std::iota
+#include <numeric>
+
+namespace esimd_test::api::functional::functions {
+
+using use_offset = std::true_type;
+using do_not_use_offset = std::true_type;
+
+// Descriptor class for the case of calling simd<T,N>::select function.
+struct select_rval {
+  static std::string get_description() { return "select rvalue"; }
+
+  template <typename DataT, int NumElems, int NumSelectedElems, int Stride>
+  static bool call_operator(const DataT *const initial_data,
+                            const DataT *const data_for_change,
+                            DataT *const out, size_t offset) {
+    esimd::simd<DataT, NumElems> simd_obj;
+    simd_obj.copy_from(initial_data);
+    auto select_result =
+        simd_obj.template select<NumSelectedElems, Stride>(offset);
+
+    for (size_t i = 0; i < NumSelectedElems; ++i) {
+      select_result[i] = data_for_change[i];
+    }
+    simd_obj.copy_to(out);
+
+    return std::is_same_v<
+        decltype(select_result),
+        esimd::simd_view<esimd::simd<DataT, NumElems>,
+                         esimd::region1d_t<DataT, NumSelectedElems, Stride>>>;
+  }
+};
+
+// Descriptor class for the case of calling simd<T,N>::select function.
+struct select_lval {
+  static std::string get_description() { return "select lvalue"; }
+
+  template <typename DataT, int NumElems, int NumSelectedElems, int Stride>
+  static bool call_operator(const DataT *const initial_data,
+                            const DataT *const data_for_change,
+                            DataT *const out, size_t offset) {
+    esimd::simd<DataT, NumElems> src_simd_obj;
+    src_simd_obj.copy_from(initial_data);
+
+    esimd::simd<DataT, NumSelectedElems> simd_for_change_values;
+    simd_for_change_values.copy_from(data_for_change);
+
+    src_simd_obj.template select<NumSelectedElems, Stride>(offset) =
+        simd_for_change_values;
+    src_simd_obj.copy_to(out);
+
+    return true;
+  }
+};
+
+// Descriptor class for the case of calling simd<T,N>::select function.
+struct select_simd_view_rval {
+  static std::string get_description() { return "select simd view rvalue"; }
+
+  template <typename DataT, int NumElems, int NumSelectedElems, int Stride>
+  static bool call_operator(const DataT *const initial_data,
+                            const DataT *const data_for_change,
+                            DataT *const out, size_t offset) {
+    esimd::simd<DataT, NumElems> src_simd_obj;
+    src_simd_obj.copy_from(initial_data);
+
+    auto simd_view_instance = src_simd_obj.template bit_cast_view<DataT>();
+
+    auto selected_elems =
+        simd_view_instance.template select<NumSelectedElems, Stride>(offset);
+
+    for (size_t i = 0; i < NumSelectedElems; ++i) {
+      selected_elems[i] = data_for_change[i];
+    }
+
+    src_simd_obj.copy_to(out);
+
+    return true;
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename TestCaseT, typename NumSelectedElemsT, typename StrideT,
+          typename OffsetT, typename DataT, typename DimT>
+class run_test {
+  static constexpr int NumElems = DimT::value;
+  static constexpr int NumSelectedElems = NumSelectedElemsT::value;
+  static constexpr int Stride = StrideT::value;
+  static constexpr int Offset = OffsetT::value;
+  using TestDescriptionT = TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    log::trace<TestDescriptionT>(data_type);
+    static_assert(NumElems >= NumSelectedElems * Stride + Offset &&
+                  "Number selected elements should be less than simd size.");
+    bool passed = true;
+    size_t alignment_value = alignof(DataT);
+
+    constexpr size_t value_for_increase_ref_data_for_change = 50;
+    static_assert(std::numeric_limits<signed char>::max() >
+                  value_for_increase_ref_data_for_change + NumElems);
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> initial_ref_data(NumElems, allocator);
+    shared_vector<DataT> ref_data_for_change(NumElems, allocator);
+
+    shared_element<bool> is_correct_type(queue, true);
+
+    std::iota(initial_ref_data.begin(), initial_ref_data.end(), 0);
+    // We should have different values in the first reference data and in the
+    // second reference data.
+    std::iota(ref_data_for_change.begin(), ref_data_for_change.end(),
+              initial_ref_data.back() + value_for_increase_ref_data_for_change);
+
+    queue.submit([&](sycl::handler &cgh) {
+      DataT *init_ref_ptr = initial_ref_data.data();
+      DataT *ref_data_for_change_ptr = ref_data_for_change.data();
+      DataT *const out_ptr = result.data();
+      auto is_correct_type_ptr = is_correct_type.data();
+
+      cgh.single_task<
+          Kernel<DataT, NumElems, TestCaseT, NumSelectedElemsT, StrideT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            *is_correct_type_ptr =
+                TestCaseT::template call_operator<DataT, NumElems,
+                                                  NumSelectedElems, Stride>(
+                    init_ref_ptr, ref_data_for_change_ptr, out_ptr, Offset);
+          });
+    });
+    queue.wait_and_throw();
+
+    std::vector<size_t> selected_indexes;
+    // Collect the indexess that has been selected.
+    for (size_t i = Offset; i < Stride * NumSelectedElems + Offset;
+         i += Stride) {
+      selected_indexes.push_back(i);
+    }
+
+    // Push the largest value to avoid the following error: can't dereference
+    // out of range vector iterator.
+    selected_indexes.push_back(std::numeric_limits<size_t>::max());
+    auto next_selected_index = selected_indexes.begin();
+
+    // Verify that values, that do not was selected has initial values.
+    for (size_t i = 0; i < NumElems; ++i) {
+      // If current index is less than selected index verify that this element
+      // hasn't been selected and changed.
+      if (i < *next_selected_index) {
+        const DataT &expected = initial_ref_data[i];
+        const DataT &retrieved = result[i];
+        if (expected != retrieved) {
+          passed = fail_test(i, expected, retrieved, data_type);
+        }
+      } else {
+        const DataT &expected = ref_data_for_change[(i - Offset) / Stride];
+        const DataT &retrieved = result[i];
+        if (expected != retrieved) {
+          passed = fail_test(i, expected, retrieved, data_type);
+        }
+        next_selected_index++;
+      }
+    }
+
+    if (!is_correct_type.value()) {
+      passed = false;
+      log::fail(TestDescriptionT(data_type), "Unexpected return type.");
+    }
+
+    return passed;
+  }
+
+private:
+  bool fail_test(size_t i, DataT expected, DataT retrieved,
+                 const std::string &data_type) {
+    log::fail(TestDescriptionT(data_type), "Unexpected value at index ", i,
+              ", retrieved: ", retrieved, ", expected: ", expected,
+              ", with size selected elems: ", NumSelectedElems,
+              ", with stride: ", Stride, ", with offset: ", Offset);
+
+    return false;
+  }
+};
+
+// Aliases to provide size or stride values to test.
+// This is the syntax sugar just for code readability.
+template <int N> using stride_type = std::integral_constant<int, N>;
+template <int N> using size_type = std::integral_constant<int, N>;
+template <int N> using offset_type = std::integral_constant<int, N>;
+
+template <typename SelectT, int NumSelectedElems, int Stride, int Offset,
+          typename... ArgsT>
+bool run_with_size_stride_offset(ArgsT &&...args) {
+  bool passed =
+      for_all_combinations<run_test, SelectT, size_type<NumSelectedElems>,
+                           stride_type<Stride>, offset_type<Offset>>(
+          std::forward<ArgsT>(args)...);
+
+  return passed;
+}
+
+template <tested_types TestedTypes, typename SelectT>
+bool run_test_for_types(sycl::queue &queue) {
+  bool passed = true;
+  constexpr int desired_simd_small_size = 1;
+  constexpr int desired_simd_large_size = 16;
+  constexpr int coefficient_of_division = 3;
+  constexpr int zero_offset_value = 0;
+  constexpr int small_offset_value = 1;
+  constexpr int large_offset_value =
+      desired_simd_large_size -
+      round_up_int_division(2 * desired_simd_large_size, 3);
+
+  const auto small_size = get_dimensions<desired_simd_small_size>();
+  const auto great_size = get_dimensions<desired_simd_large_size>();
+
+#if SIMD_RUN_TEST_WITH_CHAR_TYPES
+  const auto types = get_tested_types<TestedTypes>();
+#else
+  const auto types =
+      named_type_pack<short, unsigned short, int, unsigned int, long,
+                      unsigned long, float, long long,
+                      unsigned long long>::generate("short", "unsigned short",
+                                                    "int", "unsigned int",
+                                                    "long", "unsigned long",
+                                                    "float", "long long",
+                                                    "unsigned long long");
+#endif
+
+  // Checks are run for specific combinations of types, sizes, strides and
+  // offsets.
+  passed &= run_with_size_stride_offset<SelectT, 1, 1, zero_offset_value>(
+      types, small_size, queue);
+
+  passed &= run_with_size_stride_offset<
+      SelectT, desired_simd_large_size / coefficient_of_division,
+      coefficient_of_division, zero_offset_value>(types, great_size, queue);
+
+  passed &= run_with_size_stride_offset<
+      SelectT, desired_simd_large_size / coefficient_of_division,
+      coefficient_of_division, zero_offset_value>(types, great_size, queue);
+
+  passed &= run_with_size_stride_offset<
+      SelectT, coefficient_of_division,
+      desired_simd_large_size / coefficient_of_division, zero_offset_value>(
+      types, great_size, queue);
+
+  passed &=
+      run_with_size_stride_offset<SelectT,
+                                  desired_simd_large_size - small_offset_value,
+                                  desired_simd_small_size, small_offset_value>(
+          types, great_size, queue);
+
+  passed &= run_with_size_stride_offset<
+      SelectT, desired_simd_large_size / coefficient_of_division, 2,
+      large_offset_value>(types, great_size, queue);
+
+  return passed;
+}
+
+} // namespace esimd_test::api::functional::functions
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d.hpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d.hpp
new file mode 100644
index 0000000000000..0b04d53b643bb
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d.hpp
@@ -0,0 +1,305 @@
+//===-- functions_select_2d.hpp - Functions for tests on simd rvalue select
+//      function. ---------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides common code for tests on simd 2d select function.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../shared_element.hpp"
+#include "common.hpp"
+
+// for std::numeric_limits
+#include <limits>
+// for std::iota
+#include <numeric>
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::functions {
+
+// Descriptor class for the case of calling simd<T,N>::2d select function.
+struct select_2d {
+  static std::string get_description() { return "2d select"; }
+
+  template <typename DataT, int NumElems, int SizeY, int StrideY, int SizeX,
+            int StrideX, int Height, int Width>
+  static void call_esimd_function(const DataT *const initial_data_1,
+                                  const DataT *const initial_data_2,
+                                  DataT *const out, size_t offset_x,
+                                  size_t offset_y) {
+    esimd::simd<DataT, NumElems> src_simd_obj;
+    src_simd_obj.copy_from(initial_data_1);
+
+    auto simd_view_instance =
+        src_simd_obj.template bit_cast_view<DataT, Height, Width>();
+    auto selected_elems =
+        simd_view_instance.template select<SizeY, StrideY, SizeX, StrideX>(
+            offset_y, offset_x);
+
+    size_t ref_2_index = 0;
+    for (int i = 0; i < SizeY; ++i) {
+      for (int j = 0; j < SizeX; ++j) {
+        selected_elems.row(i)[j] = initial_data_2[ref_2_index];
+        ++ref_2_index;
+      }
+    }
+
+    src_simd_obj.copy_to(out);
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename TestCaseT, typename SizeXT, typename SizeYT,
+          typename StrideXT, typename StrideYT, typename OffsetXT,
+          typename OffsetYT, typename SimdSplitCoeffT, typename DataT,
+          typename DimT>
+class run_test {
+  static constexpr int NumElems = DimT::value;
+  static constexpr int SizeY = SizeYT::value;
+  static constexpr int StrideY = StrideYT::value;
+  static constexpr int SizeX = SizeXT::value;
+  static constexpr int StrideX = StrideXT::value;
+  static constexpr int OffsetX = OffsetXT::value;
+  static constexpr int OffsetY = OffsetYT::value;
+  static constexpr int Height = NumElems / SimdSplitCoeffT::value;
+  static constexpr int Width = NumElems / Height;
+  using TestDescriptionT = TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+
+    static_assert(NumElems == Height * Width,
+                  "Invalid SimdSplitCoeff, height and width multiplacation "
+                  "should be equal to simd size.");
+    static_assert(Width > SizeX);
+    static_assert(Height > SizeY);
+    static_assert(Height > OffsetY);
+    static_assert(Width > OffsetX);
+    static_assert(Width > OffsetX);
+    static_assert(Height > OffsetY);
+
+    constexpr size_t value_for_increase_ref_data_for_change = 50;
+    static_assert(std::numeric_limits<signed char>::max() >
+                      value_for_increase_ref_data_for_change + NumElems,
+                  "Value that used for increase ref data for fill plus simd "
+                  "size should be less than char max value.");
+
+    if (should_skip_test_with<DataT>(queue.get_device()))
+      return passed;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> initial_ref_data(NumElems, allocator);
+    shared_vector<DataT> ref_data_for_change(SizeY * SizeX, allocator);
+
+    std::iota(initial_ref_data.begin(), initial_ref_data.end(), 1);
+    // We should have different values in the first reference data and in the
+    // second reference data.
+    std::iota(ref_data_for_change.begin(), ref_data_for_change.end(),
+              initial_ref_data.back() + value_for_increase_ref_data_for_change);
+
+    queue.submit([&](sycl::handler &cgh) {
+      DataT *init_ref_ptr = initial_ref_data.data();
+      DataT *ref_data_for_change_ptr = ref_data_for_change.data();
+      DataT *const out_ptr = result.data();
+      cgh.single_task<
+          Kernel<DataT, NumElems, TestCaseT, SizeYT, StrideYT, SizeXT, StrideXT,
+                 SimdSplitCoeffT, OffsetXT, OffsetYT>>([=]() SYCL_ESIMD_KERNEL {
+        TestCaseT::template call_esimd_function<DataT, NumElems, SizeY, StrideY,
+                                                SizeX, StrideX, Height, Width>(
+            init_ref_ptr, ref_data_for_change_ptr, out_ptr, OffsetX, OffsetY);
+      });
+    });
+    queue.wait_and_throw();
+
+    std::vector<size_t> selected_indexes;
+    // Collect the indexes that has been selected.
+    for (int i = 0; i < SizeY; ++i) {
+      for (int j = 0; j < SizeX; ++j) {
+        selected_indexes.push_back(OffsetY * Width + i * Width * StrideY +
+                                   j * StrideX + OffsetX);
+      }
+    }
+
+    // Push the largest value to avoid the following error: can't dereference
+    // out of range vector iterator.
+    selected_indexes.push_back(std::numeric_limits<size_t>::max());
+    auto next_selected_index = selected_indexes.begin();
+    auto current_ref_value = ref_data_for_change.begin();
+
+    for (int i = 0; i < NumElems; ++i) {
+      // If current index is less than selected index verify that this element
+      // hasn't been selected and changed.
+      if (i < *next_selected_index) {
+        const DataT &retrieved = result[i];
+        const DataT &expected = initial_ref_data[i];
+        if (expected != retrieved) {
+          passed = fail_test(i, expected, retrieved, data_type,
+                             "that should not be selected");
+        }
+      } else {
+        const DataT &retrieved = result[i];
+        const DataT &expected = *current_ref_value;
+        if (expected != retrieved) {
+          passed = fail_test(i, expected, retrieved, data_type,
+                             "that should be selected");
+        }
+        next_selected_index++;
+        current_ref_value++;
+      }
+    }
+
+    return passed;
+  }
+
+private:
+  bool fail_test(size_t i, DataT expected, DataT retrieved,
+                 const std::string &data_type,
+                 const std::string &verification_type) {
+    log::fail(TestDescriptionT(data_type),
+              "Unexpected value " + verification_type + " at index ", i,
+              ", retrieved: ", retrieved, ", expected: ", expected,
+              ", with size x: ", SizeX, ", stride x: ", StrideX,
+              ", size y: ", SizeY, ", stride y: ", StrideY,
+              ", height: ", Height, ", offset x: ", OffsetX,
+              ", offset y: ", OffsetY, ", width: ", Width);
+
+    return false;
+  }
+};
+
+// Aliases to provide size or stride values to test.
+// This is the syntax sugar just for code readability.
+template <int N> using stride_type = std::integral_constant<int, N>;
+template <int N> using size_type = std::integral_constant<int, N>;
+template <int N> using offset_type = std::integral_constant<int, N>;
+template <int N> using simd_split_coeff = std::integral_constant<int, N>;
+
+template <typename TestCaseT, int SizeX, int SizeY, int StrideX, int StrideY,
+          int OffsetX, int OffsetY, int SimdSplitCoeff, typename... ArgsT>
+bool run_with_size_stride_offset(ArgsT &&...args) {
+  bool passed = for_all_combinations<
+      run_test, select_2d, size_type<SizeX>, size_type<SizeY>,
+      stride_type<StrideX>, stride_type<StrideY>, offset_type<OffsetX>,
+      offset_type<OffsetY>, simd_split_coeff<SimdSplitCoeff>>(
+      std::forward<ArgsT>(args)...);
+
+  return passed;
+}
+
+// Helping function that lets launch test with provided tested_types.
+// IMPORTANT: do not set offset value that greater than expected number of
+// strings or element in one string in simd_view.
+template <tested_types TestedTypes>
+bool run_test_for_types(sycl::queue &queue) {
+  bool passed = true;
+  // Values that will be used to cover different test cases.
+  constexpr int desired_simd_large_size = 32;
+  // Coefficient that used to decrease expected height or with of selected
+  // elements.
+  constexpr int coefficient_of_division = 3;
+  // Default coefficient that will be used to split 1d simd instance into 2d
+  // simd_view instance.
+  constexpr int default_simd_split_value = 4;
+  // 2d simd_view instance expected height value.
+  constexpr int expected_height =
+      desired_simd_large_size / default_simd_split_value;
+  // 2d simd_view instance expected with value.
+  constexpr int expected_width = desired_simd_large_size / expected_height;
+  // Height larger used offset that will be used in this test.
+  const int heights_large_offset =
+      expected_height - round_up_int_division(2 * expected_height, 3);
+  // With larger used offset that will be used in this test.
+  const int width_large_offset =
+      expected_width - round_up_int_division(2 * expected_width, 3);
+
+  const auto great_size = get_dimensions<desired_simd_large_size>();
+#ifdef SIMD_RUN_TEST_WITH_SYCL_HALF_TYPE
+  const auto all_types = get_tested_types<TestedTypes>();
+#else
+  const auto all_types = named_type_pack<double>::generate("double");
+#endif
+
+  // Verify correctness for different select sizes.
+  passed &= run_with_size_stride_offset<select_2d, 1, 1, 1, 1, 1, 1,
+                                        default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<select_2d, 1, 1, 1, 1, 0, 1,
+                                        default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<select_2d, 1, 1, 1, 1, 1, 0,
+                                        default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<select_2d, 1, 1, 1, 1, 0, 0,
+                                        default_simd_split_value>(
+      all_types, great_size, queue);
+
+  passed &=
+      run_with_size_stride_offset<select_2d, 1, 1, 1, 1, expected_width - 1, 0,
+                                  default_simd_split_value>(all_types,
+                                                            great_size, queue);
+  passed &=
+      run_with_size_stride_offset<select_2d, 1, 1, 1, 1, 0, expected_height - 1,
+                                  default_simd_split_value>(all_types,
+                                                            great_size, queue);
+  passed &= run_with_size_stride_offset<select_2d, 1, 1, 1, 1,
+                                        expected_width - 1, expected_height - 1,
+                                        default_simd_split_value>(
+      all_types, great_size, queue);
+
+  passed &= run_with_size_stride_offset<
+      select_2d, expected_height / coefficient_of_division, 1,
+      coefficient_of_division, 1, 0, 0, default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<
+      select_2d, 1, expected_width / coefficient_of_division, 1,
+      coefficient_of_division, 0, 0, default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<
+      select_2d, expected_height / coefficient_of_division,
+      expected_width / coefficient_of_division, coefficient_of_division,
+      coefficient_of_division, 0, 0, default_simd_split_value>(
+      all_types, great_size, queue);
+
+  // Verify correctness with small offset values.
+  passed &= run_with_size_stride_offset<select_2d, expected_width - 1, 1, 1, 1,
+                                        1, 0, default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<select_2d, 1, expected_height - 1, 1, 1,
+                                        0, 1, default_simd_split_value>(
+      all_types, great_size, queue);
+  passed &= run_with_size_stride_offset<select_2d, expected_width - 1,
+                                        expected_height - 1, 1, 1, 1, 1,
+                                        default_simd_split_value>(
+      all_types, great_size, queue);
+
+  // Verify correctness with large offset values.
+  passed &= run_with_size_stride_offset<
+      select_2d, expected_width / coefficient_of_division, 1, 2, 1,
+      width_large_offset, 0, default_simd_split_value>(all_types, great_size,
+                                                       queue);
+  passed &= run_with_size_stride_offset<
+      select_2d, 1, expected_height / coefficient_of_division, 1, 1, 0,
+      heights_large_offset, default_simd_split_value>(all_types, great_size,
+                                                      queue);
+  passed &= run_with_size_stride_offset<
+      select_2d, expected_width / coefficient_of_division,
+      expected_height / coefficient_of_division, 1, 1, width_large_offset,
+      heights_large_offset, default_simd_split_value>(all_types, great_size,
+                                                      queue);
+
+  return passed;
+}
+
+} // namespace esimd_test::api::functional::functions
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d_core.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d_core.cpp
new file mode 100644
index 0000000000000..1703fc63aa0ed
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d_core.cpp
@@ -0,0 +1,38 @@
+//==------- functions_select_2d_core.cpp  - DPC++ ESIMD on-device test
+//          ----------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd select for 2d function.
+// The test creates source simd instance with reference data and invokes logical
+// not operator, using core data types.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_select_2d.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = functions::run_test_for_types<tested_types::core>(queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d_fp_extra.cpp
new file mode 100644
index 0000000000000..4ff3d9e4daabd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_2d_fp_extra.cpp
@@ -0,0 +1,41 @@
+//==------- functions_select_2d_fp_extra.cpp  - DPC++ ESIMD on-device test
+//          ----------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// TODO simd<sycl::half, 32> fills with unexpected value. The
+// SIMD_RUN_TEST_WITH_SYCL_HALF_TYPE macros must be enabled when it is resolved.
+//
+// Test for simd select for 2d function.
+// The test creates source simd instance with reference data and invokes logical
+// not operator, using floating point extra data types.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_select_2d.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = functions::run_test_for_types<tested_types::fp_extra>(queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_lvalue_core.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_lvalue_core.cpp
new file mode 100644
index 0000000000000..0e18e3b59597e
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_lvalue_core.cpp
@@ -0,0 +1,43 @@
+//==------- functions_select_lvalue_core.cpp  - DPC++ ESIMD on-device test
+//          ----------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// TODO simd<char, 16> fills with unexpected values. The
+// SIMD_RUN_TEST_WITH_CHAR_TYPES macros must be enabled when it is resolved.
+//
+// Test for simd lvalue select function.
+// The test creates source simd instance with reference data and then calls
+// lvalue select function.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_1d_select.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed =
+      functions::run_test_for_types<tested_types::core, functions::select_lval>(
+          queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_lvalue_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_lvalue_fp_extra.cpp
new file mode 100644
index 0000000000000..b5fb02cbdaed2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_lvalue_fp_extra.cpp
@@ -0,0 +1,39 @@
+//==------- functions_select_lvalue_fp_extra.cpp  - DPC++ ESIMD on-device test
+//          ----------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd lvalue select function.
+// The test creates source simd instance with reference data and then calls
+// lvalue select function.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_1d_select.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = functions::run_test_for_types<tested_types::fp_extra,
+                                              functions::select_lval>(queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_rvalue_core.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_rvalue_core.cpp
new file mode 100644
index 0000000000000..865421eedf002
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_rvalue_core.cpp
@@ -0,0 +1,40 @@
+//==------- functions_select_rvalue_core.cpp  - DPC++ ESIMD on-device test
+//          ----------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd rvalue select function.
+// The test creates source simd instance with reference data and then calls
+// rvalue select function.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_1d_select.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed =
+      functions::run_test_for_types<tested_types::core, functions::select_rval>(
+          queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_rvalue_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_rvalue_fp_extra.cpp
new file mode 100644
index 0000000000000..cc0a9fd9572a9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_rvalue_fp_extra.cpp
@@ -0,0 +1,39 @@
+//==------- functions_select_rvalue_fp_extra.cpp  - DPC++ ESIMD on-device test
+//          ----------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd rvalue select function.
+// The test creates source simd instance with reference data and then calls
+// rvalue select function.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_1d_select.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = functions::run_test_for_types<tested_types::fp_extra,
+                                              functions::select_rval>(queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_simd_view_rval_core.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_simd_view_rval_core.cpp
new file mode 100644
index 0000000000000..f7b00787d518c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_simd_view_rval_core.cpp
@@ -0,0 +1,40 @@
+//==------- functions_select_simd_view_rval_core.cpp  - DPC++ ESIMD on-device
+//          test -----------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd simd view select function.
+// The test creates source simd instance with reference data, creates simd view
+// instance and then calls rvalue select function.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_1d_select.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed =
+      functions::run_test_for_types<tested_types::core,
+                                    functions::select_simd_view_rval>(queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_simd_view_rval_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_simd_view_rval_fp_extra.cpp
new file mode 100644
index 0000000000000..6d40fc1e51289
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/functions/functions_select_simd_view_rval_fp_extra.cpp
@@ -0,0 +1,40 @@
+//==------- functions_select_simd_view_rval_fp_extra.cpp  - DPC++ ESIMD
+//          on-device test -------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd simd view select function.
+// The test creates source simd instance with reference data, creates simd view
+// instance and then calls rvalue select function.
+// The test verifies that selected values can be changed with avoid to change
+// values, that hasn't beed selected.
+
+#include "functions_1d_select.hpp"
+
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed =
+      functions::run_test_for_types<tested_types::fp_extra,
+                                    functions::select_simd_view_rval>(queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/logger.hpp b/sycl/test-e2e/ESIMD/api/functional/logger.hpp
new file mode 100644
index 0000000000000..27240f5743906
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/logger.hpp
@@ -0,0 +1,206 @@
+//===-- logger.hpp - Define functions for print messages to console. ---===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file contains the declarations of the functions that provides easier
+/// way to printing messages to the console.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "type_traits.hpp"
+#include <iostream>
+#include <sstream>
+#include <string>
+#include <type_traits>
+
+namespace esimd_test::api::functional {
+
+// Interface for any test case description class to use for logs within generic
+// assertions
+//
+// Should provide generic test case description with no specific error details,
+// for example: "simd<int, 8> with post-increment operator"
+struct ITestDescription {
+  virtual ~ITestDescription() = default;
+  virtual std::string to_string() const = 0;
+};
+
+namespace log {
+namespace detail {
+
+template <bool Value> struct support_flag {
+  static constexpr bool is_supported() { return Value; }
+};
+
+// Provides type for floating-point hex representation for logging purposes
+//
+// In case some fixed-width type is not supported a fallback to the primary
+// template is used, with no template specialization and actual type provided
+template <typename T> struct fp_hex_representation : support_flag<false> {};
+#ifdef UINT16_MAX
+template <> struct fp_hex_representation<sycl::half> : support_flag<true> {
+  using type = std::uint16_t;
+};
+#endif
+#ifdef UINT32_MAX
+template <> struct fp_hex_representation<float> : support_flag<true> {
+  using type = std::uint32_t;
+};
+#endif
+#ifdef UINT64_MAX
+template <> struct fp_hex_representation<double> : support_flag<true> {
+  using type = std::uint64_t;
+};
+#endif
+
+} // namespace detail
+
+// Provides a stringification helper for safe specialization
+// Benefits:
+//  - makes partial specialization possible
+//  - avoids unexpected behaviour for function specializations and overloads
+template <typename T> struct StringMaker {
+  static std::string stringify(T val) {
+    if constexpr (std::is_convertible_v<T, std::string>) {
+      return val;
+    } else if constexpr (type_traits::is_sycl_floating_point_v<T>) {
+      // Define the output precision based on the type precision itself
+      // For example, state 9 decimal digits for 32-bit floating point
+      const auto significand_decimal_digits = sizeof(T) * 2 + 1;
+
+      std::ostringstream out;
+      out.precision(significand_decimal_digits);
+      out << val << " [";
+      if constexpr (detail::fp_hex_representation<T>::is_supported()) {
+        // Print out hex representation using type-punning
+        using hex_type = typename detail::fp_hex_representation<T>::type;
+        const auto &representation = reinterpret_cast<const hex_type &>(val);
+        out << "0x" << std::hex << representation;
+      } else {
+        // Make support gap explicit to address if required
+        out << " - ";
+      }
+      out << "]";
+      return out.str();
+    } else if constexpr (std::is_enum_v<T>) {
+      // Any enumeration requires explicit cast to the underlying type
+      // Please note that StringMaker can be safely specialized for any
+      // enumeration type for more human-readable logs if required
+      return std::to_string(static_cast<std::underlying_type_t<T>>(val));
+    } else {
+      return std::to_string(val);
+    }
+  }
+};
+
+// Provides generic stringification for logging purposes
+// To tweak for specific type, please:
+// - either provide overload,
+// - or specialize the StringMaker for this type
+template <typename T> static std::string stringify(T val) {
+  return log::StringMaker<T>::stringify(val);
+}
+
+// Overload to improve performance a bit; works as the first-class citizen
+inline const std::string &stringify(const std::string &val) { return val; }
+
+// Print line to the log using a custom set of parameters
+//
+// Lambda can be used to print out any custom information,
+// so every input parameter is one of the following:
+//  - lambda returning the message to log
+//  - the message itself
+//  - scalar data value
+//
+// Usage examples:
+//
+//    log.print_line([&]{
+//      return "Unexpected exception for " + TestDescriptionT(srcType, dstType);
+//    });
+//    log.print_line("Value: ", 42.25f);
+//    log.print_line("String view instance"sv);
+//
+template <typename... argsT> inline void print_line(const argsT &...args) {
+  static_assert(sizeof...(argsT) > 0, "Zero arguments not supported");
+
+  (std::cout << ... << [&]() {
+    if constexpr (std::is_invocable_v<decltype(args)>) {
+      // Using factory method
+      return stringify(args());
+    } else {
+      // Using data value
+      return stringify(args);
+    }
+  }());
+  // Force output buffer flush after each log line to have all logs
+  // available in case of `abort()` because of a test crash
+  std::cout << std::endl;
+}
+
+// Output debug information
+// Provides output only if the ESIMD_TESTS_VERBOSE_LOG macro was defined.
+//
+// Lambda parameters support makes the message construction as lazy as possible,
+// for example:
+//
+//    log.debug([&]{
+//      return "Running for test case: " +
+//             TestDescriptionT(srcType, dstType).to_string();
+//    });
+//
+// would not trigger any std::string construction and manipulation with debug
+// logging disabled
+template <typename... argsT> inline void debug(const argsT &...args) {
+#ifdef ESIMD_TESTS_VERBOSE_LOG
+  print_line(args...);
+#else
+  // Suppress unused variables warning
+  (static_cast<void>(args), ...);
+#endif
+}
+
+// Syntax sugar for tracing test cases; could be usefull in case of test crash
+// or freeze
+template <typename TestCaseDescriptionT, typename... argsT>
+inline void trace(const argsT &...args) {
+#ifdef ESIMD_TESTS_VERBOSE_LOG
+  const ITestDescription &description = TestCaseDescriptionT(args...);
+  print_line("Running for test case: ", description.to_string());
+#else
+  // Suppress unused variables warning
+  (static_cast<void>(args), ...);
+#endif
+}
+
+// Output non-failure message alongside with test case description
+template <typename... detailsT>
+void note(const ITestDescription &test_description,
+          const detailsT &...details) {
+  print_line("Test case: ", test_description.to_string(), ". ", details...);
+}
+
+#if !defined ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+// API left for backward compatibility only
+// Use log::note(const ITestDescription&, ..) instead
+[[deprecated]] void note(const std::string& message) {
+  print_line(message);
+}
+#endif
+
+// Output failure details alongside with failed test case description
+template <typename... detailsT>
+void fail(const ITestDescription &test_description,
+          const detailsT &...details) {
+  print_line("Failed for ", test_description.to_string(), ". ", details...);
+}
+
+} // namespace log
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/mutator.hpp b/sycl/test-e2e/ESIMD/api/functional/mutator.hpp
new file mode 100644
index 0000000000000..6c5bb7c17f122
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/mutator.hpp
@@ -0,0 +1,129 @@
+//===-- mutator.hpp - This file provides common function and classes to mutate
+//      reference data. ---------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides common function and classes to mutate reference data.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "type_traits.hpp"
+#include "value.hpp"
+#include <sycl/sycl.hpp>
+
+// for std::for_each
+#include <algorithm>
+#include <vector>
+
+namespace esimd_test::api::functional {
+
+// In some test cases it’s possible to pass a reference data as the input data
+// directly without any modification. For example, if we check some copy
+// constructor or memory move operation it’s OK to have any data values as the
+// input ones. But in most cases we need to consider the possibility of UB for
+// C++ operations due to modification of input values.
+//
+// Mutation mechanism covers such requirement.
+// The mutator namespace is intended to store such mutators alongside with
+// the generic ones provided below.
+namespace mutator {
+
+// Replace specific reference values to the bigger ones, so we can safely
+// substract `m_value` later.
+template <typename T> class For_subtraction {
+  T m_value;
+
+public:
+  For_subtraction(T val)
+      : m_value((assert(val > 0 && "Invalid value."), val)) {}
+
+  void operator()(T &val) {
+    if constexpr (type_traits::is_sycl_signed_v<T>) {
+      const T lower_border = value<T>::lowest() + m_value;
+      if (val < lower_border) {
+        // Validate only the negative infinity case, as the NaN will not enter
+        // this branch.
+        if constexpr (type_traits::is_sycl_floating_point_v<T>) {
+          // sycl::half will be converted to float
+          if (std::isinf(val)) {
+            return;
+          }
+        }
+        // we need to update value to avoid UB during subtraction.
+        val = lower_border;
+      }
+    }
+  }
+};
+
+// Replace specific reference values to the smaller ones, so we can safely add
+// `m_value` later.
+template <typename T> class For_addition {
+  T m_value;
+
+public:
+  For_addition(T val) : m_value((assert(val > 0 && "Invalid value."), val)) {}
+
+  void operator()(T &val) {
+    if constexpr (type_traits::is_sycl_signed_v<T>) {
+      const T upper_border = value<T>::max() - m_value;
+      if (val > upper_border) {
+        // Validate only the negative infinity case, as the NaN will not enter
+        // this branch.
+        if constexpr (type_traits::is_sycl_floating_point_v<T>) {
+          // sycl::half will be converted to float
+          if (std::isinf(val)) {
+            return;
+          }
+        }
+        // we need to update value to avoid UB during addition.
+        val = upper_border;
+      }
+    }
+  }
+};
+
+// Replace specific reference values to the divided ones, so we can safely
+// multiply to `m_value` later.
+template <typename T> class For_multiplication {
+  T m_value;
+
+public:
+  For_multiplication(T val)
+      : m_value((assert(val > 0 && "Invalid value."), val)) {}
+
+  void operator()(T &val) {
+    // We don't need to change the inf values, because inf * value gives inf.
+    if constexpr (type_traits::is_sycl_floating_point_v<T>) {
+      if (val == value<T>::inf() || val == -value<T>::inf()) {
+        return;
+      }
+    }
+
+    const T upper_border = value<T>::max() / m_value;
+    // we need to update value to avoid UB during multiplication for positive
+    // and negative numbers.
+    if (val > upper_border) {
+      val = upper_border;
+    } else if (val < -upper_border) {
+      val = -upper_border;
+    }
+  }
+};
+
+} // namespace mutator
+
+// Applies provided mutator to each value for provided container.
+template <typename T, typename MutatorT>
+inline void mutate(std::vector<T> &input_vector, MutatorT &&mutator) {
+  std::for_each(input_vector.begin(), input_vector.end(), mutator);
+}
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/common.hpp b/sycl/test-e2e/ESIMD/api/functional/operators/common.hpp
new file mode 100644
index 0000000000000..3621fe2019dd5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/common.hpp
@@ -0,0 +1,74 @@
+//===-- common.hpp - Define common code for simd operators tests ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides common things for simd operators tests.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../common.hpp"
+#include <string>
+
+namespace esimd_test::api::functional::operators {
+
+#ifdef ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+template <int NumElems, typename TestCaseT>
+class TestDescription : public ITestDescription {
+public:
+  TestDescription(const std::string &data_type) : m_data_type(data_type) {}
+
+  std::string to_string() const override {
+    std::string test_description = TestCaseT::get_description();
+
+    test_description += " with simd<" + m_data_type;
+    test_description += ", " + std::to_string(NumElems) + ">";
+
+    return test_description;
+  }
+
+private:
+  const std::string m_data_type;
+};
+
+#else
+
+// Deprecated, use TestDescription<NumElems, ContextT> for new tests instead
+//
+// TODO: Remove deprecated TestDescription from all tests
+template <typename DataT, int NumElems>
+class [[deprecated]]	TestDescription : public ITestDescription {
+public:
+  TestDescription(size_t index, DataT retrieved_val, DataT expected_val,
+                  const std::string &data_type)
+      : m_data_type(data_type), m_retrieved_val(retrieved_val),
+        m_expected_val(expected_val), m_index(index) {}
+
+  std::string to_string() const override {
+    std::string log_msg("Failed for simd<");
+
+    log_msg += m_data_type + ", " + std::to_string(NumElems) + ">";
+    log_msg += ", retrieved: " + std::to_string(m_retrieved_val);
+    log_msg += ", expected: " + std::to_string(m_expected_val);
+    log_msg += ", at index: " + std::to_string(m_index);
+
+    return log_msg;
+  }
+
+private:
+  const std::string m_data_type;
+  const DataT m_retrieved_val;
+  const DataT m_expected_val;
+  const size_t m_index;
+};
+
+#endif // ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+} // namespace esimd_test::api::functional::operators
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_assignment.hpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_assignment.hpp
new file mode 100644
index 0000000000000..dfa97dd4edb35
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_assignment.hpp
@@ -0,0 +1,113 @@
+//===-- operator_assignment.hpp - Functions for tests on simd assignment
+//      operators. --------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd assignment operators.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+// The test proxy is used to verify the move assignment was called actually.
+#define __ESIMD_ENABLE_TEST_PROXY
+
+#include "../shared_element.hpp"
+#include "common.hpp"
+
+namespace esimd_test::api::functional::operators {
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename DataT, typename SizeT, typename TestCaseT> class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type);
+
+    if (should_skip_test_with<DataT>(queue.get_device())) {
+      return true;
+    }
+
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed = run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed = run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+
+    // Initialize operator correctness flag with pre-defined invalid value
+    constexpr bool is_move_expected = TestCaseT::is_move_expected();
+    shared_element<bool> was_moved(queue, !is_move_expected);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *const out = result.data();
+      const auto was_moved_ptr = was_moved.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            *was_moved_ptr = TestCaseT::template run<DataT, NumElems>(ref, out);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      const auto &expected = ref_data[i];
+      const auto &retrieved = result[i];
+
+      if (!are_bitwise_equal(expected, retrieved)) {
+        passed = false;
+        log::fail(TestDescriptionT(data_type), "Unexpected value at index ", i,
+                  ", retrieved: ", retrieved, ", expected: ", expected);
+      }
+    }
+
+    if (was_moved.value() != is_move_expected) {
+      passed = false;
+
+      if constexpr (is_move_expected) {
+        log::fail(TestDescriptionT(data_type),
+                  "A copy operator instead of a move operator was used");
+      } else {
+        log::fail(TestDescriptionT(data_type),
+                  "Unexpected simd vector move operator called");
+      }
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::operators
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_assignment_move_and_copy_core.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_assignment_move_and_copy_core.cpp
new file mode 100644
index 0000000000000..62c2523f4a58e
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_assignment_move_and_copy_core.cpp
@@ -0,0 +1,81 @@
+//==------- operator_assignment_move_and_copy_core.cpp  - DPC++ ESIMD on-device
+//          test -----------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: *
+// TODO Remove XFAIL once the simd vector provides move assignment operator
+//
+// Test for simd move and copy assignment operators.
+// The test creates source simd instance with reference data and invokes move or
+// copy assignment operator from source to destination simd instance. It is
+// expected for destination simd instance to store a bitwise same data as the
+// reference one.
+
+#include "operator_assignment.hpp"
+
+using namespace sycl::ext::intel::esimd;
+using namespace esimd_test::api::functional;
+
+// Descriptor class for the case of calling move assignment operator.
+struct move_assignment {
+  static std::string get_description() { return "move assignment operator"; }
+
+  static constexpr bool is_move_expected() { return true; }
+
+  template <typename DataT, int NumElems>
+  static bool run(const DataT *const ref_data, DataT *const out) {
+    simd<DataT, NumElems> source_simd;
+    source_simd.copy_from(ref_data);
+    simd<DataT, NumElems> simd_obj;
+    simd_obj = std::move(source_simd);
+    simd_obj.copy_to(out);
+    return simd_obj.get_test_proxy().was_move_destination();
+  }
+};
+
+// Descriptor class for the case of calling copy assignment operator.
+struct copy_assignment {
+  static std::string get_description() { return "copy assignment operator"; }
+
+  static constexpr bool is_move_expected() { return false; }
+
+  template <typename DataT, int NumElems>
+  static bool run(const DataT *const ref_data, DataT *const out) {
+    simd<DataT, NumElems> source_simd;
+    source_simd.copy_from(ref_data);
+    simd<DataT, NumElems> simd_obj;
+    simd_obj = source_simd;
+    simd_obj.copy_to(out);
+    return simd_obj.get_test_proxy().was_move_destination();
+  }
+};
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto types = get_tested_types<tested_types::all>();
+  const auto all_sizes = get_all_sizes();
+
+  const auto context =
+      unnamed_type_pack<move_assignment, copy_assignment>::generate();
+
+  passed &= for_all_combinations<operators::run_test>(types, all_sizes, context,
+                                                      queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not.hpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not.hpp
new file mode 100644
index 0000000000000..3cc805682a2c0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not.hpp
@@ -0,0 +1,171 @@
+//===-- operator_bitwise_not.hpp - Functions for tests on simd assignment
+//      operators. --------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd assignment operators.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "../mutator.hpp"
+#include "../shared_element.hpp"
+#include "common.hpp"
+// For std::abs
+#include <cmath>
+
+namespace esimd = sycl::ext::intel::esimd;
+
+namespace esimd_test::api::functional::operators {
+
+// Descriptor class for the case of calling bitwise not operator.
+struct bitwise_not_operator {
+  static std::string get_description() { return "bitwise not"; }
+
+  template <typename DataT, int NumElems>
+  static bool call_operator(const DataT *const ref_data,
+                            DataT *const source_simd_result,
+                            DataT *const operator_result) {
+    auto simd_obj = esimd::simd<DataT, NumElems>();
+    simd_obj.copy_from(ref_data);
+    const auto bitwise_not_result = ~simd_obj;
+    simd_obj.copy_to(source_simd_result);
+    bitwise_not_result.copy_to(operator_result);
+    return std::is_same_v<decltype(~simd_obj), esimd::simd<DataT, NumElems>>;
+  }
+};
+
+// Replace specific reference values to lower once.
+template <typename T> struct For_bitwise_not {
+  For_bitwise_not() = default;
+
+  void operator()(T &val) {
+    static_assert(!type_traits::is_sycl_floating_point_v<T>,
+                  "Invalid data type.");
+    if constexpr (std::is_signed_v<T>) {
+      // We could have UB for negative zero in different integral type
+      // representations: two's complement, ones' complement and signed
+      // magnitude.
+      // See http://www.open-std.org/jtc1/sc22/wg14/www/docs/n2218.htm
+      // Note that there is no check for UB with padding bits here, as it would
+      // effectively disable any possible check for signed integer bitwise
+      // operations.
+      static const T max = value<T>::max();
+      static const T lowest = value<T>::lowest();
+      if (std::abs(lowest + 1) == (max - 1)) {
+        // C11 standard mentions that it's possible to have a `0b100...0` value
+        // as a trap value for twos' complement representation. In such case the
+        // condition above would trigger for twos' complement representation
+        // also.
+        if (val == max) {
+          // Would result in trap representation for signed magnitude
+          val -= 1;
+        } else if (val == 0) {
+          // Would result in trap representation for ones' complement
+          val = 1;
+        }
+      }
+    } //  signed integral types
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename TestCaseT, typename DataT, typename DimT> class run_test {
+  static constexpr int NumElems = DimT::value;
+  using TestDescriptionT = TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    mutate(ref_data, For_bitwise_not<DataT>());
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed = run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed = run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+    shared_vector<DataT> source_simd_result(NumElems, allocator);
+    shared_vector<DataT> operator_result(NumElems, allocator);
+
+    shared_element<bool> is_correct_type(queue, true);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *const source_simd_result_data_ptr = source_simd_result.data();
+      DataT *const operator_result_data_ptr = operator_result.data();
+      auto is_correct_type_ptr = is_correct_type.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            *is_correct_type_ptr =
+                TestCaseT::template call_operator<DataT, NumElems>(
+                    ref, source_simd_result_data_ptr, operator_result_data_ptr);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < NumElems; ++i) {
+      {
+        const DataT &retrieved = source_simd_result[i];
+        const DataT &expected = ref_data[i];
+        if (!are_bitwise_equal(expected, retrieved)) {
+          passed = false;
+          log::fail(TestDescriptionT(data_type),
+                    "Unexpected source simd value at index ", i,
+                    ", retrieved: ", retrieved, ", expected: ", expected);
+        }
+      }
+      {
+        const DataT &retrieved = operator_result[i];
+        const DataT &expected = ~shared_ref_data[i];
+        if (!are_bitwise_equal(expected, retrieved)) {
+          passed = false;
+          log::fail(TestDescriptionT(data_type),
+                    "Unexpected result value at index ", i,
+                    ", retrieved: ", retrieved, ", expected: ", expected);
+        }
+      }
+    }
+
+    if (!is_correct_type.value()) {
+      passed = false;
+      log::fail(TestDescriptionT(data_type),
+                "Invalid return type for operator.");
+    }
+
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::operators
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not_sint.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not_sint.cpp
new file mode 100644
index 0000000000000..b0e9110a46f18
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not_sint.cpp
@@ -0,0 +1,52 @@
+//==------- operator_bitwise_not_sint.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd bitwise not operator.
+// The test creates source simd instance with reference data and invokes bitwise
+// not operator.
+// The test verifies that data from simd is not corrupted after calling bitwise
+// not operator, that bitwise not operator return type is as expected and
+// bitwise not operator result values are correct.
+//
+// IMPORTANT: ESIMD API currently supports bitwise not for signed integer types.
+// Though there is possibility of trap values and compiler optimizations in
+// general C++17, the llvm itself states that signed integer types are
+// guaranteed to be two's complement:
+//  - https://llvm.org/docs/LangRef.html
+//  - https://bugs.llvm.org/show_bug.cgi?id=950
+
+#include "operator_bitwise_not.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto sint_types = get_tested_types<tested_types::sint>();
+  const auto all_dims = get_all_dimensions();
+
+  // Running test for all sint types
+  passed &= for_all_combinations<operators::run_test,
+                                 operators::bitwise_not_operator>(
+      sint_types, all_dims, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not_uint.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not_uint.cpp
new file mode 100644
index 0000000000000..84faf9b0a1dd4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_bitwise_not_uint.cpp
@@ -0,0 +1,45 @@
+//==------- operator_bitwise_not_uint.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd bitwise not operator.
+// The test creates source simd instance with reference data and invokes bitwise
+// not operator.
+// The test verifies that data from simd is not corrupted after calling bitwise
+// not operator, that bitwise not operator return type is as expected and
+// bitwise not operator result values are correct.
+
+#include "operator_bitwise_not.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto uint_types = get_tested_types<tested_types::uint>();
+  const auto all_dims = get_all_dimensions();
+
+  // Running test for all uint types
+  passed &= for_all_combinations<operators::run_test,
+                                 operators::bitwise_not_operator>(
+      uint_types, all_dims, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment.hpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment.hpp
new file mode 100644
index 0000000000000..3ac3844b2dae8
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment.hpp
@@ -0,0 +1,263 @@
+//===-- operator_decrement_and_increment.hpp - Functions for tests on simd
+//      increment and decrement operators definition. ---------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions for tests on simd decrement and increment
+/// operators.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+#define ESIMD_TESTS_DISABLE_DEPRECATED_TEST_DESCRIPTION_FOR_LOGS
+
+#include "../mutator.hpp"
+#include "common.hpp"
+
+namespace esimd = sycl::ext::intel::esimd;
+namespace esimd_functional = esimd_test::api::functional;
+
+namespace esimd_test::api::functional::operators {
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct pre_decrement {
+  static std::string get_description() { return "pre decrement"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data,
+                             DataT *const source_simd_out,
+                             DataT *const result_simd_out) {
+    auto source_simd = esimd::simd<DataT, NumElems>();
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> result_simd = --source_simd;
+    source_simd.copy_to(source_simd_out);
+    result_simd.copy_to(result_simd_out);
+  }
+
+  template <typename DataT> static DataT apply_operator(DataT &val) {
+    return --val;
+  }
+
+  static constexpr bool is_increment() { return false; }
+};
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct post_decrement {
+  static std::string get_description() { return "post decrement"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data,
+                             DataT *const source_simd_out,
+                             DataT *const result_simd_out) {
+    auto source_simd = esimd::simd<DataT, NumElems>();
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> result_simd = source_simd--;
+    source_simd.copy_to(source_simd_out);
+    result_simd.copy_to(result_simd_out);
+  }
+
+  template <typename DataT> static DataT apply_operator(DataT &val) {
+    return val--;
+  }
+
+  static constexpr bool is_increment() { return false; }
+};
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct pre_increment {
+  static std::string get_description() { return "pre increment"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data,
+                             DataT *const source_simd_out,
+                             DataT *const result_simd_out) {
+    auto source_simd = esimd::simd<DataT, NumElems>();
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> result_simd = ++source_simd;
+    source_simd.copy_to(source_simd_out);
+    result_simd.copy_to(result_simd_out);
+  }
+
+  template <typename DataT> static DataT apply_operator(DataT &val) {
+    return ++val;
+  }
+
+  static constexpr bool is_increment() { return true; }
+};
+
+// Descriptor class for the case of calling constructor in initializer context.
+struct post_increment {
+  static std::string get_description() { return "post increment"; }
+
+  template <typename DataT, int NumElems>
+  static void call_simd_ctor(const DataT *const ref_data,
+                             DataT *const source_simd_out,
+                             DataT *const result_simd_out) {
+    auto source_simd = esimd::simd<DataT, NumElems>();
+    source_simd.copy_from(ref_data);
+    esimd::simd<DataT, NumElems> result_simd = source_simd++;
+    source_simd.copy_to(source_simd_out);
+    result_simd.copy_to(result_simd_out);
+  }
+
+  template <typename DataT> static DataT apply_operator(DataT &val) {
+    return val++;
+  }
+
+  static constexpr bool is_increment() { return true; }
+};
+
+struct base_test {
+  template <typename DataT, int NumElems, typename TestCaseT>
+  static std::vector<DataT> generate_input_data() {
+    std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    if constexpr (TestCaseT::is_increment()) {
+      mutate(ref_data, mutator::For_addition<DataT>(1));
+    } else {
+      mutate(ref_data, mutator::For_subtraction<DataT>(1));
+    }
+
+    return ref_data;
+  }
+};
+
+struct fp_accuracy_test {
+  template <typename DataT, int NumElems, typename TestCaseT>
+  static std::vector<DataT> generate_input_data() {
+    std::vector<DataT> ref_data;
+
+    static const DataT min = value<DataT>::lowest();
+    static const DataT denorm_min = value<DataT>::denorm_min();
+    static const DataT max = value<DataT>::max();
+    static const DataT inexact = static_cast<DataT>(0.1);
+
+    if constexpr (TestCaseT::is_increment()) {
+      ref_data.reserve((NumElems > 1) ? NumElems : 6);
+      ref_data.insert(ref_data.end(),
+                      {inexact, denorm_min, -denorm_min,
+                       value<DataT>::pos_ulp(static_cast<DataT>(-1.0)),
+                       value<DataT>::pos_ulp(min),
+                       value<DataT>::neg_ulp(max - 1)});
+
+    } else {
+      ref_data.reserve((NumElems > 1) ? NumElems : 6);
+      ref_data.insert(ref_data.end(),
+                      {inexact, denorm_min, -denorm_min,
+                       value<DataT>::neg_ulp(static_cast<DataT>(-1.0)),
+                       value<DataT>::neg_ulp(max),
+                       value<DataT>::pos_ulp(min + 1)});
+    }
+
+    for (size_t i = ref_data.size(); i < NumElems; ++i) {
+      ref_data.push_back(inexact * i);
+    }
+
+    return ref_data;
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename IsAccuracyTestT, typename DataT, typename SizeT,
+          typename TestCaseT>
+class run_test {
+  static constexpr int NumElems = SizeT::value;
+  using TestDescriptionT = operators::TestDescription<NumElems, TestCaseT>;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+
+    if (should_skip_test_with<DataT>(queue.get_device()))
+      return passed;
+
+    std::vector<DataT> ref_data =
+        IsAccuracyTestT::template generate_input_data<DataT, NumElems,
+                                                      TestCaseT>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed &= run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed &= run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+    log::trace<TestDescriptionT>(data_type);
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> source_simd_out(NumElems, allocator);
+    shared_vector<DataT> result_simd_out(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *source_simd_data_ptr = source_simd_out.data();
+      DataT *result_simd_data_ptr = result_simd_out.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            TestCaseT::template call_simd_ctor<DataT, NumElems>(
+                ref, source_simd_data_ptr, result_simd_data_ptr);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < NumElems; ++i) {
+      DataT expected_source_value = shared_ref_data[i];
+
+      const DataT expected_return_value =
+          TestCaseT::apply_operator(expected_source_value);
+
+      passed &= verify_result(i, expected_source_value, source_simd_out[i],
+                              "argument modification", data_type);
+      passed &= verify_result(i, expected_return_value, result_simd_out[i],
+                              "return value", data_type);
+    }
+
+    return passed;
+  }
+
+  bool verify_result(size_t i, DataT expected, DataT retrieved,
+                     const std::string &value_description,
+                     const std::string &data_type) {
+    bool passed = true;
+    if constexpr (type_traits::is_sycl_floating_point_v<DataT>) {
+      if (std::isnan(expected) && !std::isnan(retrieved)) {
+        passed = false;
+        log::fail(TestDescriptionT(data_type), "Unexpected ",
+                  value_description, "at index ", i, ", retrieved: ", retrieved,
+                  ", expected: any NaN value");
+      }
+    }
+    if (!are_bitwise_equal(expected, retrieved)) {
+      passed = false;
+      log::fail(TestDescriptionT(data_type), "Unexpected ",
+                value_description, "at index ", i, ", retrieved: ", retrieved,
+                ", expected: ", expected);
+    }
+    return passed;
+  }
+};
+
+} // namespace esimd_test::api::functional::operators
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_accuracy_core.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_accuracy_core.cpp
new file mode 100644
index 0000000000000..9b52951f361dd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_accuracy_core.cpp
@@ -0,0 +1,47 @@
+//==------- operator_decrement_and_increment_accuracy_core.cpp  - DPC++ ESIMD
+//          on-device test -------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd increment and decrement operators.
+// The test creates source simd instance and call increment or decrement
+// operator opera with reference data. The test verifies that in the output data
+// contained correctness data according to chosen operator and has no precision
+// differences with interaction with floating point data types.
+
+#include "operator_decrement_and_increment.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto fp_types = get_tested_types<tested_types::fp>();
+  const auto all_sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<operators::pre_increment,
+                        operators::post_increment>::generate();
+
+  passed &=
+      for_all_combinations<operators::run_test, operators::fp_accuracy_test>(
+          fp_types, all_sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_accuracy_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_accuracy_fp_extra.cpp
new file mode 100644
index 0000000000000..8b3116218a0a1
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_accuracy_fp_extra.cpp
@@ -0,0 +1,55 @@
+//==------- operator_decrement_and_increment_accuracy_fp_extra.cpp  - DPC++
+//          ESIMD on-device test -------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// TODO simd<sycl::half, N> vector filled with unexpected values. The
+// ESIMD_TESTS_RUN_WITH_HALF macros must be enabled when it is resolved.
+//
+// Test for simd increment and decrement operators.
+// The test creates source simd instance and call increment or decrement
+// operator opera with reference data. The test verifies that in the output data
+// contained correctness data according to chosen operator and has no precision
+// differences with interaction with floating point data types.
+
+#include "operator_decrement_and_increment.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+#ifdef ESIMD_TESTS_RUN_WITH_HALF
+  const auto fp_extra_types = get_tested_types<tested_types::fp_extra>();
+#else
+  const auto fp_extra_types = named_type_pack<double>::generate("double");
+#endif
+  const auto all_sizes = get_all_sizes();
+  const auto contexts =
+      unnamed_type_pack<operators::pre_increment, operators::post_increment,
+                        operators::pre_decrement,
+                        operators::post_decrement>::generate();
+
+  passed &=
+      for_all_combinations<operators::run_test, operators::fp_accuracy_test>(
+          fp_extra_types, all_sizes, contexts, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_core.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_core.cpp
new file mode 100644
index 0000000000000..aed05b6cf42b4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_core.cpp
@@ -0,0 +1,46 @@
+//==------- operator_decrement_and_increment_core.cpp  - DPC++ ESIMD on-device
+//          test -----------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd increment and decrement operators.
+// The test creates source simd instance and call increment or decrement
+// operator opera with reference data. The test verifies that in the output data
+// contained correctness data according to chosen operator.
+
+#include "operator_decrement_and_increment.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto core_types = get_tested_types<tested_types::core>();
+  const auto all_sizes = get_all_sizes();
+  const auto operators =
+      unnamed_type_pack<operators::pre_increment, operators::post_increment,
+                        operators::pre_decrement,
+                        operators::post_decrement>::generate();
+
+  passed &= for_all_combinations<operators::run_test, operators::base_test>(
+      core_types, all_sizes, operators, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_fp_extra.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_fp_extra.cpp
new file mode 100644
index 0000000000000..ab25f877c5102
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_decrement_and_increment_fp_extra.cpp
@@ -0,0 +1,53 @@
+//==------- operator_decrement_and_increment_fp_extra.cpp  - DPC++ ESIMD
+//          on-device test -------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// TODO simd<sycl::half, N> vector filled with unexpected value in case current
+// value is equal to -nan. The ESIMD_TESTS_RUN_WITH_HALF macros must be enabled
+// when it is resolved.
+//
+// Test for simd increment and decrement operators.
+// The test creates source simd instance and call increment or decrement
+// operator opera with reference data. The test verifies that in the output data
+// contained correctness data according to chosen operator.
+
+#include "operator_decrement_and_increment.hpp"
+
+using namespace esimd_test::api::functional;
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+#ifdef ESIMD_TESTS_RUN_WITH_HALF
+  const auto fp_extra_types = get_tested_types<tested_types::fp_extra>();
+#else
+  const auto fp_extra_types = named_type_pack<double>::generate("double");
+#endif
+  const auto all_sizes = get_all_sizes();
+  const auto operators =
+      unnamed_type_pack<operators::pre_increment, operators::post_increment,
+                        operators::pre_decrement,
+                        operators::post_decrement>::generate();
+
+  passed &= for_all_combinations<operators::run_test, operators::base_test>(
+      fp_extra_types, all_sizes, operators, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/operators/operator_logical_not.cpp b/sycl/test-e2e/ESIMD/api/functional/operators/operator_logical_not.cpp
new file mode 100644
index 0000000000000..c1f9a825d5594
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/operators/operator_logical_not.cpp
@@ -0,0 +1,155 @@
+//==------- operator_logical_not.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: windows, gpu, level_zero
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// TODO This test freezed on Linux OS, enable test on linux once this issue will
+// be fixed.
+// XREQUIRES: gpu
+// TODO gpu and level_zero in REQUIRES due to only this platforms supported yet.
+// The current "REQUIRES" should be replaced with "gpu" only as mentioned in
+// "XREQUIRES".
+// UNSUPPORTED: cuda, hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test for simd logical not operator.
+// The test creates source simd instance with reference data and invokes logical
+// not operator.
+// The test verifies that data from simd is not corrupted after calling logical
+// not operator, that logical not operator return type is as expected and
+// logical not operator result values is correct.
+
+#include "../shared_element.hpp"
+#include "common.hpp"
+
+using namespace sycl::ext::intel::esimd;
+using namespace esimd_test::api::functional;
+
+// Descriptor class for the case of calling logical not operator.
+struct logical_not_operator {
+  static std::string get_description() { return "logical not"; }
+
+  template <typename DataT, int NumElems, typename OperatorResultT>
+  static bool call_operator(const DataT *const ref_data, DataT *const out,
+                            OperatorResultT *const operator_result) {
+    simd<DataT, NumElems> simd_obj;
+    simd_obj.copy_from(ref_data);
+    auto logical_not_result = !simd_obj;
+
+    for (size_t i = 0; i < NumElems; ++i) {
+      operator_result[i] = logical_not_result[i];
+    }
+
+    simd_obj.copy_to(out);
+    return std::is_same_v<decltype(!simd_obj), simd_mask<NumElems>>;
+  }
+};
+
+// The main test routine.
+// Using functor class to be able to iterate over the pre-defined data types.
+template <typename TestCaseT, typename DataT, typename DimT> class run_test {
+  static constexpr int NumElems = DimT::value;
+
+public:
+  bool operator()(sycl::queue &queue, const std::string &data_type) {
+    bool passed = true;
+    const std::vector<DataT> ref_data = generate_ref_data<DataT, NumElems>();
+
+    // If current number of elements is equal to one, then run test with each
+    // one value from reference data.
+    // If current number of elements is greater than one, then run tests with
+    // whole reference data.
+    if constexpr (NumElems == 1) {
+      for (size_t i = 0; i < ref_data.size(); ++i) {
+        passed = run_verification(queue, {ref_data[i]}, data_type);
+      }
+    } else {
+      passed = run_verification(queue, ref_data, data_type);
+    }
+    return passed;
+  }
+
+private:
+  bool run_verification(sycl::queue &queue, const std::vector<DataT> &ref_data,
+                        const std::string &data_type) {
+    assert(ref_data.size() == NumElems &&
+           "Reference data size is not equal to the simd vector length.");
+
+    bool passed = true;
+
+    shared_allocator<DataT> allocator(queue);
+    shared_vector<DataT> result(NumElems, allocator);
+    shared_vector<DataT> shared_ref_data(ref_data.begin(), ref_data.end(),
+                                         allocator);
+
+    shared_vector<int> operator_result(NumElems, shared_allocator<int>(queue));
+    shared_element<bool> is_correct_type(queue, true);
+
+    queue.submit([&](sycl::handler &cgh) {
+      const DataT *const ref = shared_ref_data.data();
+      DataT *const out = result.data();
+      auto operator_result_storage = operator_result.data();
+      auto is_correct_type_storage = is_correct_type.data();
+
+      cgh.single_task<Kernel<DataT, NumElems, TestCaseT>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            *is_correct_type_storage =
+                TestCaseT::template call_operator<DataT, NumElems>(
+                    ref, out, operator_result_storage);
+          });
+    });
+    queue.wait_and_throw();
+
+    for (size_t i = 0; i < result.size(); ++i) {
+      if (!are_bitwise_equal(ref_data[i], result[i])) {
+        passed = false;
+
+        const auto description = operators::TestDescription<DataT, NumElems>(
+            i, result[i], ref_data[i], data_type);
+        log::fail(description);
+      }
+      auto retrieved = operator_result[i];
+      auto expected = shared_ref_data[i] == 0;
+      if (expected != retrieved) {
+        passed = false;
+        const auto description = operators::TestDescription<DataT, NumElems>(
+            i, retrieved, expected, data_type);
+        log::fail(description);
+      }
+    }
+
+    if (!is_correct_type.value()) {
+      passed = false;
+      log::note("Test failed due to type of the object that returns " +
+                TestCaseT::get_description() +
+                " operator is not equal to the expected one for simd<" +
+                data_type + ", " + std::to_string(NumElems) + ">.");
+    }
+
+    return passed;
+  }
+};
+
+int main(int, char **) {
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  bool passed = true;
+
+  const auto uint_types = get_tested_types<tested_types::uint>();
+  const auto sint_types = get_tested_types<tested_types::sint>();
+  const auto all_dims = get_all_dimensions();
+
+  passed &= for_all_combinations<run_test, logical_not_operator>(
+      uint_types, all_dims, queue);
+  passed &= for_all_combinations<run_test, logical_not_operator>(
+      sint_types, all_dims, queue);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/functional/shared_element.hpp b/sycl/test-e2e/ESIMD/api/functional/shared_element.hpp
new file mode 100644
index 0000000000000..0c3437a43b1a3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/shared_element.hpp
@@ -0,0 +1,54 @@
+//===-- shared_elements.hpp - Function that provides USM with a smart pointer.
+//      -------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides data struct that lets interact with USM with a smart
+/// pointer that lets avoid memory leaks.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <memory>
+
+namespace esimd_test::api::functional {
+
+// Provides APIs to interact with USM pointer without memory leaks for a single
+// variable. Might be useful to provide access to a single boolean flag to store
+// success, for example.
+template <typename T> class shared_element {
+  std::unique_ptr<T, std::function<void(T *)>> m_allocated_data;
+
+public:
+  shared_element(sycl::queue &queue, T initial_value) {
+    const auto &device{queue.get_device()};
+    const auto &context{queue.get_context()};
+
+    auto deleter = [=](T *ptr) { sycl::free(ptr, context); };
+
+    m_allocated_data = std::unique_ptr<T, decltype(deleter)>(
+        sycl::malloc_shared<T>(1, device, context), deleter);
+
+    assert(m_allocated_data && "USM memory allocation failed");
+    *m_allocated_data = initial_value;
+  }
+
+  T *data() { return m_allocated_data.get(); }
+
+  const T *data() const { return m_allocated_data.get(); }
+
+  T value() { return *m_allocated_data.get(); }
+
+  T value() const { return *m_allocated_data.get(); }
+};
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/sycl_accessor.hpp b/sycl/test-e2e/ESIMD/api/functional/sycl_accessor.hpp
new file mode 100644
index 0000000000000..0934c771f9adc
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/sycl_accessor.hpp
@@ -0,0 +1,203 @@
+//===-- sycl_accessor.hpp - Test coverasge support for sycl::accessor -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// Provides type packs and all neccessary helpers and wrappers to use with
+/// tests with sycl::accessor
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "logger.hpp"
+#include "type_coverage.hpp"
+
+#include <sstream>
+
+namespace esimd_test::api::functional {
+
+//----------------------------------------------------------------------------//
+// Type packs and helpers for accessor dimensions
+//----------------------------------------------------------------------------//
+
+enum class accessor_dimension_group { all = 0, non_zero, zero };
+
+// It's UB to access the data by using zero-sized accessor, still 0 dimensions
+// is valid value in SYCL 2020.
+// See https://github.com/KhronosGroup/SYCL-Docs/pull/192 for details
+//
+// It's expected that any /p group value axcept `non_zero` is a corner case for
+// now
+template <accessor_dimension_group group = accessor_dimension_group::non_zero>
+inline auto get_accessor_dimensions() {
+  if constexpr (group == accessor_dimension_group::all) {
+    return integer_pack<0, 1, 2, 3>::generate_unnamed();
+  } else if constexpr (group == accessor_dimension_group::non_zero) {
+    return integer_pack<1, 2, 3>::generate_unnamed();
+  } else if constexpr (group == accessor_dimension_group::zero) {
+    return integer_pack<0>::generate_unnamed();
+  } else {
+    static_assert(group != group, "Unexpected accessor dimensions group");
+  }
+}
+
+//----------------------------------------------------------------------------//
+// Type packs and helpers for accessor modes
+//----------------------------------------------------------------------------//
+
+// Alias to use for accessor modes; no overhead as alias doesn't declare a new
+// type
+template <sycl::access_mode... values>
+using accessor_mode_pack = value_pack<sycl::access_mode, values...>;
+
+enum class accessor_mode_group {
+  all = 0,     // all possible values
+  all_read,    // all possible values for read access
+  single_read, // single value from the all_read group
+  all_write,
+  single_write,
+  all_read_write,
+  single_read_write = all_read_write
+};
+
+namespace log {
+// Specialization of generic stringification for accessor mode logging purposes
+template <> struct StringMaker<sycl::access_mode> {
+  static std::string stringify(sycl::access_mode mode) {
+    std::string result;
+    switch (mode) {
+    case sycl::access_mode::read:
+      result = "read";
+      break;
+    case sycl::access_mode::write:
+      result = "write";
+      break;
+    case sycl::access_mode::read_write:
+      result = "read_write";
+      break;
+    default:
+      result = "unknown";
+    };
+    return result;
+  }
+};
+} // namespace log
+
+template <accessor_mode_group group> class accessor_modes {
+  static auto pack_type_helper() {
+    using ModeT = sycl::access_mode;
+
+    if constexpr (group == accessor_mode_group::all) {
+      using ModesT =
+          accessor_mode_pack<ModeT::read, ModeT::write, ModeT::read_write>;
+      return ModesT{};
+    } else if constexpr (group == accessor_mode_group::all_read) {
+      using ModesT = accessor_mode_pack<ModeT::read, ModeT::read_write>;
+      return ModesT{};
+    } else if constexpr (group == accessor_mode_group::single_read) {
+      using ModesT = accessor_mode_pack<ModeT::read>;
+      return ModesT{};
+    } else if constexpr (group == accessor_mode_group::all_write) {
+      using ModesT = accessor_mode_pack<ModeT::write, ModeT::read_write>;
+      return ModesT{};
+    } else if constexpr (group == accessor_mode_group::single_write) {
+      using ModesT = accessor_mode_pack<ModeT::write>;
+      return ModesT{};
+    } else if constexpr (group == accessor_mode_group::all_read_write) {
+      using ModesT = accessor_mode_pack<ModeT::read_write>;
+      return ModesT{};
+    } else {
+      static_assert(group != group, "Unexpected accessor mode group");
+    }
+  }
+
+public:
+  static auto generate_unnamed() {
+    return pack_type_helper().generate_unnamed();
+  }
+
+  static auto generate_named() {
+    static const auto generator = &log::stringify<sycl::access_mode>;
+    return pack_type_helper().generate_named_by(generator);
+  }
+};
+
+//----------------------------------------------------------------------------//
+// Type packs and helpers for accessor targets
+//----------------------------------------------------------------------------//
+
+// Alias to use for accessor targets; no overhead as alias doesn't declare a new
+// type
+template <sycl::target... values>
+using accessor_target_pack = value_pack<sycl::target, values...>;
+
+namespace log {
+// Specialization of generic stringification for accessor target logging
+// purposes
+template <> struct StringMaker<sycl::target> {
+  static std::string stringify(sycl::target target) {
+    std::string result;
+    switch (target) {
+    case sycl::target::device:
+      result = "device";
+      break;
+    default:
+      result = "unknown";
+    };
+    return result;
+  }
+};
+} // namespace log
+
+// Makes easy to add new accessor targets support
+class accessor_targets {
+  using pack_type = accessor_target_pack<sycl::target::device>;
+
+public:
+  static auto generate_unnamed() { return pack_type::generate_unnamed(); }
+
+  static auto generate_named() {
+    return pack_type::generate_named_by(log::stringify<sycl::target>);
+  }
+};
+
+//----------------------------------------------------------------------------//
+// Type packs and helpers for accessor type itself
+//----------------------------------------------------------------------------//
+
+// Provides generic accessor type stringification
+struct AccessorDescription : public ITestDescription {
+public:
+  // Parameters are given in the order they are printed
+  //
+  // Usage examples:
+  //
+  //   // Declare "sycl::accessor<int, 1, read_write>"
+  //   const auto foo = AccessorDescription("int", 1, "read_write");
+  //
+  //   // Declare "sycl::accessor<int, 1, read, device>"
+  //   const auto mode = sycl::access_mode::read;
+  //   const auto target = sycl::target::device;
+  //   const auto bar = AccessorDescription("int", "1", mode, target);
+  //
+  template <typename... ArgsT>
+  AccessorDescription(const std::string &data_type_name, ArgsT &&...args) {
+    std::ostringstream stream;
+    stream << "sycl::accessor<" << data_type_name;
+    ((stream << ", " << log::stringify(std::forward<ArgsT>(args))), ...);
+    stream << ">";
+    m_description = stream.str();
+  }
+
+  std::string to_string() const override { return m_description; }
+
+private:
+  std::string m_description;
+};
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/sycl_range.hpp b/sycl/test-e2e/ESIMD/api/functional/sycl_range.hpp
new file mode 100644
index 0000000000000..ea344fda66f7c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/sycl_range.hpp
@@ -0,0 +1,58 @@
+//===-- sycl_range.hpp - Provides support for sycl::range usage in tests --===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// Provides all neccessary helpers and wrappers to use with tests with
+/// sycl::range
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "logger.hpp"
+
+namespace esimd_test::api::functional {
+
+template <int Dims> sycl::range<Dims> get_sycl_range(size_t count);
+
+template <> sycl::range<1> get_sycl_range<1>(size_t count) {
+  return sycl::range<1>(count);
+}
+template <> sycl::range<2> get_sycl_range<2>(size_t count) {
+  if (count % 2 != 0) {
+    return sycl::range<2>(count, 1);
+  }
+  return sycl::range<2>(count / 2, 2);
+}
+template <> sycl::range<3> get_sycl_range<3>(size_t count) {
+  if (count % 2 != 0) {
+    return sycl::range<3>(count, 1, 1);
+  }
+  return sycl::range<3>(count / 2, 1, 2);
+}
+
+namespace log {
+// Specialization of StringMaker for sycl::range logging purposes
+template <int Dims> struct StringMaker<sycl::range<Dims>> {
+  static std::string stringify(const sycl::range<Dims> &range) {
+    std::ostringstream stream;
+    stream << "sycl::range<" << std::to_string(Dims);
+    stream << ">{" << range[0];
+    if constexpr (Dims >= 2) {
+      stream << ", " << range[1];
+    }
+    if constexpr (Dims >= 3) {
+      stream << ", " << range[2];
+    }
+    stream << "}";
+    return stream.str();
+  }
+};
+} // namespace log
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/type_coverage.hpp b/sycl/test-e2e/ESIMD/api/functional/type_coverage.hpp
new file mode 100644
index 0000000000000..ef387568f1ebd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/type_coverage.hpp
@@ -0,0 +1,488 @@
+//===-- type_coverage.hpp - Define generic functions for type coverage. ---===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides a generic way to run tests with different types.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "logger.hpp"
+#include "type_traits.hpp"
+
+#include <cassert>
+#include <string>
+#include <type_traits>
+#include <utility>
+
+namespace esimd_test::api::functional {
+
+//----------------------------------------------------------------------------//
+// Forward-declare all type and value packs provided below
+//----------------------------------------------------------------------------//
+
+template <typename... Types> struct unnamed_type_pack;
+template <typename... Types> struct named_type_pack;
+template <typename T, T... values> struct value_pack;
+
+// Alias to use mainly for simd vector sizes; no overhead as alias doesn't
+// declare a new type
+template <int... values> using integer_pack = value_pack<int, values...>;
+
+//----------------------------------------------------------------------------//
+// SFINAE helpers for type and value packs
+//----------------------------------------------------------------------------//
+
+namespace sfinae {
+namespace details {
+template <typename T> struct is_type_pack_t : std::false_type {};
+
+template <typename... Types>
+struct is_type_pack_t<named_type_pack<Types...>> : std::true_type {};
+
+template <typename... Types>
+struct is_type_pack_t<unnamed_type_pack<Types...>> : std::true_type {};
+} // namespace details
+
+template <typename T>
+using is_not_a_type_pack =
+    std::enable_if_t<!details::is_type_pack_t<T>::value, bool>;
+
+} // namespace sfinae
+
+//----------------------------------------------------------------------------//
+// Implementation details for type packs filtration support
+//----------------------------------------------------------------------------//
+
+namespace detail {
+
+template <typename... T> struct type_accumulator {};
+
+// Helper function to accumulate the filtered types without re-ordering them
+template <template <typename> class FilterT, bool ExpectedValue, typename T,
+          typename... Types, typename... PackTypesT>
+auto filter_unnamed_type_pack_impl(
+    const type_accumulator<PackTypesT...> & = {}) {
+  // Define if we should filter out the current type or store it
+  constexpr bool store_type = FilterT<T>::value == ExpectedValue;
+
+  if constexpr (sizeof...(Types) == 0) {
+    if constexpr (store_type) {
+      return unnamed_type_pack<PackTypesT..., T>::generate();
+    } else {
+      static_assert(sizeof...(PackTypesT) > 0, "All types were filtered out");
+      return unnamed_type_pack<PackTypesT...>::generate();
+    }
+  } else {
+    using next_pack_type =
+        std::conditional_t<store_type, type_accumulator<PackTypesT..., T>,
+                           type_accumulator<PackTypesT...>>;
+    return filter_unnamed_type_pack_impl<FilterT, ExpectedValue, Types...>(
+        next_pack_type{});
+  }
+}
+
+// Helper function to accumulate the filtered types and corresponding type names
+// without re-ordering them
+template <template <typename> class FilterT, bool ExpectedValue, typename T,
+          typename... Types, int N, typename... PackTypesT,
+          typename... NameListT>
+auto filter_named_type_pack_impl(const std::string (&names)[N],
+                                 int typeNameIndex,
+                                 const type_accumulator<PackTypesT...> &,
+                                 const NameListT &...nameList) {
+  // Define if we should filter out the current type or store it
+  constexpr bool store_type = FilterT<T>::value == ExpectedValue;
+  const auto &name = names[typeNameIndex];
+
+  ++typeNameIndex;
+
+  if constexpr (sizeof...(Types) == 0) {
+    if constexpr (store_type) {
+      return named_type_pack<PackTypesT..., T>::generate(nameList..., name);
+    } else {
+      static_assert(sizeof...(PackTypesT) > 0, "All types were filtered out");
+      return named_type_pack<PackTypesT...>::generate(nameList...);
+    }
+  } else {
+    if constexpr (store_type) {
+      return filter_named_type_pack_impl<FilterT, ExpectedValue, Types...>(
+          names, typeNameIndex, type_accumulator<PackTypesT..., T>{},
+          nameList..., name);
+    } else {
+      return filter_named_type_pack_impl<FilterT, ExpectedValue, Types...>(
+          names, typeNameIndex, type_accumulator<PackTypesT...>{}, nameList...);
+    }
+  }
+}
+
+// Filters out types using the filter functor template
+template <template <typename> class FilterT, bool ExpectedValue,
+          typename... Types>
+inline auto filter_type_pack() {
+  return filter_unnamed_type_pack_impl<FilterT, ExpectedValue, Types...>();
+}
+
+// Filters out types using the filter functor template and stores corrensponding
+// type names appropriately
+template <template <typename> class FilterT, bool ExpectedValue,
+          typename... Types, int N>
+inline auto filter_type_pack(const std::string (&names)[N]) {
+  return filter_named_type_pack_impl<FilterT, ExpectedValue, Types...>(
+      names, 0, type_accumulator<>{});
+}
+
+} // namespace detail
+
+//----------------------------------------------------------------------------//
+// All type and value packs implementation
+//----------------------------------------------------------------------------//
+
+// Generic type pack with no specific type names provided
+template <typename... Types> struct unnamed_type_pack {
+  static_assert(sizeof...(Types) > 0, "Empty pack is not supported");
+
+  // Syntax sugar to align usage with the named_type_pack
+  static auto inline generate() { return unnamed_type_pack<Types...>{}; }
+
+  // Makes possible to generate new unnamed type pack by filtering out types
+  // with the given filter functor. Does not allow to filter out all the types.
+  //
+  // For example:
+  //   const auto types = unnamed_type_pack<int, unsigned int>::generate();
+  //   const auto unsigned_types = types.filter_by<std::is_unsigned>();
+  //   const auto non_fp_types =
+  //       types.filter_by<std::is_floating_point, false>();
+  //
+  template <template <typename> class FilterT, bool ExpectedValue = true>
+  auto filter_by() const {
+    return detail::filter_type_pack<FilterT, ExpectedValue, Types...>();
+  }
+};
+
+// Generic type pack with specific type names provided; intended to use mainly
+// for type coverage over the ESIMD API tests
+template <typename... Types> class named_type_pack {
+  static_assert(sizeof...(Types) > 0, "Empty pack is not supported");
+
+  template <typename... nameListT>
+  named_type_pack(nameListT &&...nameList)
+      : names{std::forward<nameListT>(nameList)...} {}
+
+  template <typename T> static inline auto generate_name() {
+    if constexpr (type_traits::has_static_member::to_string<T>::value) {
+      const auto result = T::to_string();
+      static_assert(std::is_same_v<decltype(result), const std::string>,
+                    "Unexpected return type for the T::to_string() method");
+      return result;
+    } else {
+      constexpr auto always_false = !std::is_same_v<T, T>;
+      static_assert(always_false,
+                    "There is no static method T::to_string() for this type");
+    }
+  }
+
+public:
+  // We need a specific names to differentiate types on logic level, with no
+  // dependency on actual type implementation and typeid
+  const std::string names[sizeof...(Types)];
+
+  // Factory function to properly generate the type pack
+  //
+  // There are two possible use-cases for generation:
+  // - either each type has a corresponding name provided,
+  // - or each type have a static T::to_string() method available
+  //
+  // For example:
+  //   struct var_decl {
+  //     static std::string to_string() { return "variable declaration"; }
+  //   };
+  //   struct rval_in_expr {
+  //     static std::string to_string() { return "rvalue in an expression"; }
+  //   };
+  //   const auto types =
+  //      named_type_pack<char, signed char>::generate("char", "signed char");
+  //   const auto contexts =
+  //      named_type_pack<var_decl, rval_in_expr>::generate();
+  //
+  template <typename... nameListT>
+  static auto generate(nameListT &&...nameList) {
+    if constexpr (sizeof...(nameListT) == 0) {
+      // No names provided explicitly, try to generate them
+      return named_type_pack<Types...>(generate_name<Types>()...);
+    } else {
+      // Make requirement explicit to have more clear error message
+      static_assert(sizeof...(Types) == sizeof...(nameListT));
+      return named_type_pack<Types...>(std::forward<nameListT>(nameList)...);
+    }
+  }
+
+  // Makes possible to generate new named type pack by filtering out types and
+  // names with the given filter functor.
+  // Does not allow to filter out all the types.
+  //
+  // For example:
+  //   const auto types = named_type_pack<int, unsigned int>::generate("int",
+  //                                                                   "uint");
+  //  template <typename DataT> using is_uint =
+  //      std::bool_constant<std::is_unsigned_v<DataT> &&
+  //                         std::is_integral_v<DataT>>;
+  //
+  //   const auto uint_types = types.filter_by<is_uint>();
+  //   const auto unsigned_types = types.filter_by<std::is_unsigned>();
+  //
+  template <template <typename> class FilterT, bool ExpectedValue = true>
+  auto filter_by() const {
+    return detail::filter_type_pack<FilterT, ExpectedValue, Types...>(names);
+  }
+};
+
+// Generic value pack to use for any type of compile-time lists
+template <typename T, T... values> struct value_pack {
+
+  // Factory function to generate the corresponding type pack with no names
+  // stored
+  //
+  // Might be useful to store plain integral values or enumeration values.
+  // For example:
+  //   const auto bytes = value_pack<int, 1, 2, 8>::generate_unnamed();
+  //
+  static inline auto generate_unnamed() {
+    return unnamed_type_pack<std::integral_constant<T, values>...>::generate();
+  }
+
+  // Factory function to generate the type pack with stringified values stored
+  // within. Would work with or without specific StringMaker specializations.
+  // For example:
+  //   const auto targets =
+  //     value_pack<sycl::target, sycl::target::device>::generate_named();
+  //
+  static inline auto generate_named() {
+    return named_type_pack<std::integral_constant<T, values>...>::generate(
+        log::stringify(values)...);
+  }
+
+  // Factory function to generate the type pack with names given for each value
+  //
+  // For example:
+  //   enum class ctx : int {
+  //     var_decl = 0,
+  //     rval_in_expr
+  //   };
+  //   const auto contexts =
+  //     value_pack<ctx, ctx::var_decl, ctx::rval_in_expr>::generate_named(
+  //         "variable declaration", "rvalue in an expression");
+  //
+  template <typename... argsT>
+  static inline auto generate_named(argsT &&...args) {
+    return named_type_pack<std::integral_constant<T, values>...>::generate(
+        std::forward<argsT>(args)...);
+  }
+
+  // Factory function to generate the type pack using generator function
+  //
+  // It could be especially usefull for value packs with enums. For example:
+  //   enum class access {read, write};
+  //   template <access ... values>
+  //   using access_pack = value_pack<access, values...>;
+  //
+  //   const auto generator = [&](const access& value) {
+  //        switch (value) {
+  //        case access:read:
+  //           return "read access";
+  //           break;
+  //        ...
+  //        };
+  //     };
+  //   const auto accesses =
+  //     access_pack<access::read, access::write>::generate_named_by(generator);
+  //
+  template <typename GeneratorT>
+  static auto generate_named_by(const GeneratorT &nameGenerator) {
+    static_assert(std::is_invocable_v<GeneratorT, T>,
+                  "Unexpected name generator type");
+    return generate_named(nameGenerator(values)...);
+  }
+};
+
+//----------------------------------------------------------------------------//
+// Support of the combinatorial type and value packs usage
+//----------------------------------------------------------------------------//
+
+// Generic function to run specific action for every combination of each of the
+// types given by appropriate type pack instances.
+// Virtually any combination of named and unnamed type packs is supported.
+// Supports different types of compile-time value lists via value pack.
+template <template <typename...> class Action, typename... ActionArgsT,
+          typename HeadT, typename... ArgsT,
+          sfinae::is_not_a_type_pack<HeadT> = true>
+inline bool for_all_combinations(HeadT &&head, ArgsT &&...args) {
+  // The first non-pack argument passed into the for_all_combinations stops the
+  // recursion
+  return Action<ActionArgsT...>{}(std::forward<HeadT>(head),
+                                  std::forward<ArgsT>(args)...);
+}
+
+// Overload to handle the iteration over the types within the named type pack
+template <template <typename...> class Action, typename... ActionArgsT,
+          typename... HeadTypes, typename... ArgsT>
+inline bool for_all_combinations(const named_type_pack<HeadTypes...> &head,
+                                 ArgsT &&...args) {
+  bool passed = true;
+
+  // Run the next level of recursion for each type from the head named_type_pack
+  // instance. Each recursion level unfolds the first argument passed and adds a
+  // type name as the last argument.
+  size_t type_name_index = 0;
+
+  ((passed &= for_all_combinations<Action, ActionArgsT..., HeadTypes>(
+        std::forward<ArgsT>(args)..., head.names[type_name_index]),
+    ++type_name_index),
+   ...);
+  // The unary right fold expression is used for parameter pack expansion.
+  // Every expression with comma operator is strictly sequenced, so we can
+  // increment safely. And of course the fold expression would not be optimized
+  // out due to side-effects.
+  // Additional pair of brackets is required because of precedence of increment
+  // operator relative to the comma operator.
+  //
+  // Note that there is actually no difference in left or right fold expression
+  // for the comma operator, as it would give the same order of actions
+  // execution and the same order of the type name index increment: both the
+  // "(expr0, (exr1, expr2))" and "((expr0, expr1), expr2)" would give the same
+  //  result as simple "expr0, expr1, expr2"
+  assert((type_name_index == sizeof...(HeadTypes)) && "Pack expansion failed");
+
+  return passed;
+}
+
+// Overload to handle the iteration over the types within the unnamed type pack
+template <template <typename...> class Action, typename... ActionArgsT,
+          typename... HeadTypes, typename... ArgsT>
+inline bool for_all_combinations(const unnamed_type_pack<HeadTypes...> &head,
+                                 ArgsT &&...args) {
+  // Using fold expression to iterate over all types within type pack
+  bool passed = true;
+  size_t count = 0;
+
+  ((passed &= for_all_combinations<Action, ActionArgsT..., HeadTypes>(
+        std::forward<ArgsT>(args)...),
+    ++count),
+   ...);
+  // Ensure there is no silent miss for coverage
+  assert((count == sizeof...(HeadTypes)) && "Pack expansion failed");
+
+  return passed;
+}
+
+// Overload to trigger failure in case of either invalid usage or recursion
+// failure
+template <template <typename...> class, typename... ArgsT>
+inline bool for_all_combinations() {
+  constexpr auto always_false = sizeof...(ArgsT) != sizeof...(ArgsT);
+  static_assert(always_false, "No packs provided to iterate over");
+}
+
+//----------------------------------------------------------------------------//
+// Specific pack generation helpers
+//----------------------------------------------------------------------------//
+
+// Provides alias to types that can be used in tests:
+//  core - all C++ data types, except specific data types
+//  fp - all floating point C++ data types
+//  fp_extra - specific, non C++ data types
+//  uint - all unsigned C++ integral data types
+//  sint - all signed C++ integral data types
+enum class tested_types { core, fp, fp_extra, uint, sint };
+
+// Factory method to retrieve pre-defined named_type_pack, to have the same
+// default type coverage over the tests
+template <tested_types required> auto get_tested_types() {
+  if constexpr (required == tested_types::core) {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+    return named_type_pack<
+        char, unsigned char, signed char, short, unsigned short, int,
+        unsigned int, long, unsigned long, float, long long,
+        unsigned long long>::generate("char", "unsigned char", "signed char",
+                                      "short", "unsigned short", "int",
+                                      "unsigned int", "long", "unsigned long",
+                                      "float", "long long",
+                                      "unsigned long long");
+#else
+    return named_type_pack<float, int, unsigned int, signed char>::generate(
+        "float", "int", "unsigned int", "signed char");
+#endif
+  } else if constexpr (required == tested_types::fp) {
+    return named_type_pack<float>::generate("float");
+  } else if constexpr (required == tested_types::fp_extra) {
+    return named_type_pack<sycl::half, double>::generate("sycl::half",
+                                                         "double");
+  } else if constexpr (required == tested_types::uint) {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+    if constexpr (!std::is_signed_v<char>) {
+      return named_type_pack<unsigned char, unsigned short, unsigned int,
+                             unsigned long, unsigned long long,
+                             char>::generate("unsigned char", "unsigned short",
+                                             "unsigned int", "unsigned long",
+                                             "unsigned long long", "char");
+    } else {
+      return named_type_pack<
+          unsigned char, unsigned short, unsigned int, unsigned long,
+          unsigned long long>::generate("unsigned char", "unsigned short",
+                                        "unsigned int", "unsigned long",
+                                        "unsigned long long");
+    }
+#else
+    return named_type_pack<unsigned int>::generate("unsigned int");
+#endif
+  } else if constexpr (required == tested_types::sint) {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+    if constexpr (std::is_signed_v<char>) {
+      return named_type_pack<signed char, short, int, long, long long,
+                             char>::generate("signed char", "short", "int",
+                                             "long", "long long", "char");
+    } else {
+      return named_type_pack<signed char, short, int, long,
+                             long long>::generate("signed char", "short", "int",
+                                                  "long", "long long");
+    }
+#else
+    return named_type_pack<int, signed char>::generate("int", "signed char");
+#endif
+  } else {
+    static_assert(required != required, "Unexpected tested type");
+  }
+}
+
+// Syntax sugar to retrieve simd vector sizes in a consistent way
+template <int... Values> auto inline get_sizes() {
+  return integer_pack<Values...>::generate_unnamed();
+}
+
+// Factory method to retrieve pre-defined values_pack, to have the same
+// default sizes over the tests
+auto inline get_all_sizes() {
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+  return get_sizes<1, 8, 16, 32>();
+#else
+  return get_sizes<1, 8>();
+#endif
+}
+
+// It's a deprecated function and it exists only for backward compatibility and
+// it should be deleted in the future. Use get_all_sizes() instead.
+auto inline get_all_dimensions() { return get_all_sizes(); }
+
+// It's a deprecated function and it exists only for backward compatibility and
+// it should be deleted in the future. Use get_sizes() instead.
+template <int... Values> auto inline get_dimensions() {
+  return get_sizes<Values...>();
+}
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/type_traits.hpp b/sycl/test-e2e/ESIMD/api/functional/type_traits.hpp
new file mode 100644
index 0000000000000..9607acf198101
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/type_traits.hpp
@@ -0,0 +1,57 @@
+//===-- type_traits.hpp - Define functions for iterating with datatypes. --===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides function for iterating with data types.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include <sycl/sycl.hpp>
+
+#include <type_traits>
+#include <utility>
+
+namespace esimd_test::api::functional::type_traits {
+
+template <typename T>
+using is_sycl_floating_point =
+    std::bool_constant<std::is_floating_point_v<T> ||
+                       std::is_same_v<T, sycl::half>>;
+
+template <typename T>
+inline constexpr bool is_sycl_floating_point_v{
+    is_sycl_floating_point<T>::value};
+
+template <typename T>
+using is_sycl_signed =
+    std::bool_constant<std::is_signed_v<T> || is_sycl_floating_point_v<T>>;
+
+template <typename T>
+inline constexpr bool is_sycl_signed_v{is_sycl_signed<T>::value};
+
+template <typename T>
+using is_nonconst_rvalue_reference =
+    std::bool_constant<std::is_rvalue_reference_v<T> &&
+                       !std::is_const_v<typename std::remove_reference_t<T>>>;
+
+template <typename T>
+inline constexpr bool is_nonconst_rvalue_reference_v{
+    is_nonconst_rvalue_reference<T>::value};
+
+namespace has_static_member {
+
+template <typename, typename = void> struct to_string : std::false_type {};
+
+template <typename T>
+struct to_string<T, std::void_t<decltype(T::to_string())>> : std::true_type {};
+
+} // namespace has_static_member
+
+} // namespace esimd_test::api::functional::type_traits
diff --git a/sycl/test-e2e/ESIMD/api/functional/value.hpp b/sycl/test-e2e/ESIMD/api/functional/value.hpp
new file mode 100644
index 0000000000000..bc4dd996937c3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/value.hpp
@@ -0,0 +1,192 @@
+//===-- value.hpp - This file provides common functions generate values for
+//      testing. ----------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions that let obtain data for test according to
+/// current underlying type.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "../../esimd_test_utils.hpp"
+#include "type_traits.hpp"
+#include <sycl/sycl.hpp>
+
+#include <climits>
+#include <limits>
+#include <type_traits>
+
+namespace esimd_test::api::functional {
+
+namespace details {
+
+// Initializes the sycl::half value by using two bytes given:
+//  - the higher byte, including the sign bit
+//  - the lower byte, including the part of mantissa
+//
+// This implementation doesn't depend on:
+//  - the byte order of both the unsigned types and the floating type itself;
+//  - the existence of the optional std::uint16_t type
+//  - compiler optimisations related to the strict aliasing rules
+sycl::half half_from_bytes(unsigned char hi, unsigned char lo) {
+  const size_t size = sizeof(sycl::half);
+  static_assert(CHAR_BIT == 8, "Unexpected byte size, input values may broke");
+  static_assert(size == 2, "Invalid number of bytes for half type");
+
+  const unsigned char in[size] = {lo, hi};
+  unsigned char index[size];
+  unsigned char out[size];
+
+  // We are using specific half value to initialize the bits required to differ
+  // the lowest and the highest byte
+  sycl::half indexHint = 2;
+  const unsigned char indexCoeff = 64;
+
+  memcpy(index, &indexHint, size);
+  index[0] /= indexCoeff;
+  index[1] /= indexCoeff;
+
+  // Ensure there is no overflow possible
+  assert(index[0] + index[1] == 1);
+
+  out[0] = in[index[0]];
+  out[1] = in[index[1]];
+  return esimd_test::bit_cast<sycl::half>(out);
+}
+
+// Constructs std::vector from provided vectors.
+template <typename DataT, int NumElems>
+std::vector<DataT>
+construct_ref_data(std::vector<DataT> &&essential_values,
+                   const std::vector<DataT> &extra_values = {}) {
+  std::vector<DataT> ref_data(std::move(essential_values));
+
+  ref_data.reserve((NumElems > 1) ? NumElems : essential_values.size());
+
+  if constexpr (NumElems != 1) {
+    ref_data.insert(ref_data.end(), extra_values.begin(), extra_values.end());
+
+    for (size_t i = ref_data.size(); i < NumElems; ++i) {
+      ref_data.push_back(i + 0.75);
+    }
+  }
+
+  return ref_data;
+}
+
+} // namespace details
+
+// Utility class to retrieve specific values for tests depending on the data
+// type May be used to retrieve reference data or for generation of golden
+// values
+template <typename DataT> struct value {
+  static DataT inf() {
+    static_assert(
+        type_traits::is_sycl_floating_point_v<DataT>,
+        "Infinity is required only for the floating point data types.");
+
+    if constexpr (std::is_same_v<DataT, sycl::half>) {
+      return details::half_from_bytes(0b01111100u, 0b00000000u);
+    } else {
+      return std::numeric_limits<DataT>::infinity();
+    }
+  }
+
+  static DataT lowest() {
+    if constexpr (std::is_same_v<DataT, sycl::half>) {
+      return -max();
+    } else {
+      return std::numeric_limits<DataT>::lowest();
+    }
+  }
+
+  static DataT denorm_min() {
+    assert(type_traits::is_sycl_floating_point_v<DataT> &&
+           "Only floating point type can be passed into this function.");
+    if constexpr (std::is_same_v<DataT, sycl::half>) {
+      // Represents 5.96046e-08 sycl::half value.
+      return details::half_from_bytes(0b00000000u, 0b00000001u);
+    } else {
+      return std::numeric_limits<DataT>::denorm_min();
+    }
+  }
+
+  static DataT nan(unsigned char opcode = 42u) {
+    static_assert(type_traits::is_sycl_floating_point_v<DataT>,
+                  "NaN has meaning only for floating point data types.");
+    if constexpr (std::is_same_v<DataT, double>) {
+      return sycl::nan(static_cast<unsigned long>(opcode));
+    } else if constexpr (std::is_same_v<DataT, float>) {
+      return sycl::nan(static_cast<unsigned int>(opcode));
+    } else if constexpr (std::is_same_v<DataT, sycl::half>) {
+      return details::half_from_bytes(0b11111110u, 0b00000000u + opcode);
+    }
+  }
+
+  static DataT max() {
+    if constexpr (std::is_same_v<DataT, sycl::half>) {
+      return details::half_from_bytes(0b01111011u, 0b11111111u);
+    } else {
+      return std::numeric_limits<DataT>::max();
+    }
+  }
+
+  static DataT ulp(DataT base_val, DataT direction) {
+    if constexpr (std::is_same_v<DataT, sycl::half>) {
+      return static_cast<sycl::half>(
+          // Multiplier is set according to the difference in precision between
+          // fp16 and fp32 types
+          (sycl::nextafter(base_val, direction) - base_val) * 8192);
+    } else {
+      return std::nextafter(base_val, direction) - base_val;
+    }
+  }
+
+  static DataT pos_ulp(DataT base_val) { return ulp(base_val, inf()); }
+
+  static DataT neg_ulp(DataT base_val) { return ulp(base_val, -inf()); }
+};
+
+// Provides std::vector with the reference data according to the currently
+// tested data type and number of elements.
+template <typename DataT, int NumElems> std::vector<DataT> generate_ref_data() {
+  static_assert(
+      std::is_integral_v<DataT> || type_traits::is_sycl_floating_point_v<DataT>,
+      "Invalid data type provided to the generate_ref_data function.");
+
+  // Create values with the strict type guarantee
+  static const DataT min = value<DataT>::lowest();
+  static const DataT min_half = min / 2;
+  static const DataT max = value<DataT>::max();
+  static const DataT max_half = max / 2;
+  static const DataT min_plus_one = min + 1;
+  static const DataT max_minus_one = max - 1;
+
+  std::vector<DataT> ref_data;
+
+  if constexpr (type_traits::is_sycl_floating_point_v<DataT>) {
+    static const DataT nan = value<DataT>::nan();
+    static const DataT inf = value<DataT>::inf();
+
+    // We are using the `double` literals to avoid precision loss for case of
+    // the `double` DataT on unexact values like 0.1
+    ref_data = details::construct_ref_data<DataT, NumElems>(
+        {-inf, nan, min, max, -0.0, 0.1}, {-0.1, +0.0});
+  } else if constexpr (std::is_signed_v<DataT>) {
+    ref_data = details::construct_ref_data<DataT, NumElems>(
+        {min, min_half, max, max_half, 0}, {min_plus_one, max_minus_one, -1});
+  } else {
+    ref_data = details::construct_ref_data<DataT, NumElems>({max, max_half, 0},
+                                                            {max_minus_one});
+  }
+  return ref_data;
+}
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/functional/value_conv.hpp b/sycl/test-e2e/ESIMD/api/functional/value_conv.hpp
new file mode 100644
index 0000000000000..fcbb7124bc33f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/functional/value_conv.hpp
@@ -0,0 +1,107 @@
+//===-- value_conv.hpp - This file provides common functions generate values for
+//      testing. ----------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+///
+/// \file
+/// This file provides functions that let obtain converted reference data for
+/// test according to current underlying types.
+///
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include "type_traits.hpp"
+#include "value.hpp"
+
+namespace esimd_test::api::functional {
+
+// Utility class to retrieve specific values for tests depending on the source
+// and destination data types. May be used to retrieve converted reference data.
+// All provided methods are safe to use and protected from UB when call
+// static_cast<int>(unsigned int).
+template <typename SrcT, typename DstT> struct value_conv {
+  static inline SrcT denorm_min() {
+    if constexpr (!type_traits::is_sycl_floating_point_v<SrcT>) {
+      // Return zero for any integral type the same way std::denorm_min does
+      return 0;
+    } else if constexpr (sizeof(SrcT) > sizeof(DstT)) {
+      // Use the biggest value so it would not degenerate to zero during
+      // conversion from SrcT to DstT
+      return static_cast<SrcT>(value<DstT>::denorm_min());
+    } else {
+      return value<SrcT>::denorm_min();
+    }
+  }
+};
+
+// Provides std::vector with the reference data according to the obtained data
+// types and number of elements.
+template <typename SrcT, typename DstT, int NumElems>
+std::vector<SrcT> generate_ref_conv_data() {
+  static_assert(std::is_integral_v<SrcT> ||
+                    type_traits::is_sycl_floating_point_v<SrcT>,
+                "Invalid source type.");
+  static_assert(std::is_integral_v<DstT> ||
+                    type_traits::is_sycl_floating_point_v<DstT>,
+                "Invalid destination type.");
+
+  // TODO: Implement functions for obtain lowest and max values without UB
+  // cases.
+  static const SrcT positive = static_cast<SrcT>(126.75);
+  static const SrcT max = 10;
+  // Use zero for unsigned types
+  static const SrcT min = std::min<SrcT>(-max, 0);
+  static const SrcT max_half = max / 2;
+  static const SrcT min_half = min / 2;
+
+  std::vector<SrcT> ref_data;
+
+  if constexpr (type_traits::is_sycl_floating_point_v<SrcT> &&
+                type_traits::is_sycl_floating_point_v<DstT>) {
+    static const SrcT nan = value<SrcT>::nan();
+    static const SrcT inf = value<SrcT>::inf();
+    static const SrcT denorm = value_conv<SrcT, DstT>::denorm_min();
+
+    ref_data = details::construct_ref_data<SrcT, NumElems>(
+        {min, max, -0.0, +0.0, 0.1, denorm, nan, -inf});
+  } else if constexpr (type_traits::is_sycl_floating_point_v<SrcT> &&
+                       std::is_unsigned_v<DstT>) {
+    // We cannot expect negative values to wrap during conversion from
+    // the floating point type to the unsigned integral type.
+    // The C++17 standard has the following statement:
+    // A prvalue of a floating-point type can be converted to a prvalue of an
+    // integer type. The conversion truncates; that is, the fractional part is
+    // discarded. The behavior is undefined if the truncated value cannot be
+    // represented in the destination type.
+    ref_data =
+        details::construct_ref_data<SrcT, NumElems>({0.0, max, max_half});
+  } else if constexpr (type_traits::is_sycl_floating_point_v<SrcT> &&
+                       type_traits::is_sycl_signed_v<DstT>) {
+    ref_data = details::construct_ref_data<SrcT, NumElems>(
+        {-0.0, max, max_half, min, min_half});
+  } else if constexpr (type_traits::is_sycl_signed_v<SrcT> &&
+                       type_traits::is_sycl_signed_v<DstT>) {
+    ref_data = details::construct_ref_data<SrcT, NumElems>(
+        {min, min_half, 0, max_half, max});
+  } else if constexpr (type_traits::is_sycl_signed_v<SrcT> &&
+                       std::is_unsigned_v<DstT>) {
+    static const SrcT src_min = value<SrcT>::lowest();
+    static const SrcT src_min_half = src_min / 2;
+
+    ref_data = details::construct_ref_data<SrcT, NumElems>(
+        {src_min, src_min_half, 0, max_half, max});
+  } else if constexpr (std::is_unsigned_v<SrcT>) {
+    ref_data = details::construct_ref_data<SrcT, NumElems>({0, max_half, max});
+  } else {
+    static_assert(!std::is_same_v<SrcT, SrcT>, "Unexpected types combination");
+  }
+
+  return ref_data;
+}
+
+} // namespace esimd_test::api::functional
diff --git a/sycl/test-e2e/ESIMD/api/replicate_smoke.cpp b/sycl/test-e2e/ESIMD/api/replicate_smoke.cpp
new file mode 100644
index 0000000000000..d8d4d1eb9baeb
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/replicate_smoke.cpp
@@ -0,0 +1,204 @@
+//==------- replicate_smoke.cpp  - DPC++ ESIMD on-device test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks main functionality of the esimd::replicate_vs_w_hs function.
+
+// Temporarily disable while the failure is being investigated.
+// UNSUPPORTED: windows
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using tfloat32 = sycl::ext::intel::experimental::esimd::tfloat32;
+
+template <class T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+template <class T> bool verify(T *data_arr, T *gold_arr, int NonZeroN, int N) {
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < NonZeroN; ++i) {
+    T val = data_arr[i];
+    T gold = gold_arr[i];
+
+    if (val != gold) {
+      if (++err_cnt < 10) {
+        using T1 = typename char_to_int<T>::type;
+        std::cout << "  failed at index " << i << ": " << (T1)val
+                  << " != " << (T1)gold << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(NonZeroN - err_cnt) / (float)NonZeroN) * 100.0f
+              << "% (" << (NonZeroN - err_cnt) << "/" << NonZeroN << ")\n";
+  }
+  for (unsigned i = NonZeroN; i < N; ++i) {
+    T val = data_arr[i];
+    T gold = (T)0;
+
+    if (val != gold) {
+      if (++err_cnt < 10) {
+        using T1 = typename char_to_int<T>::type;
+        std::cout << "  additional failure at index " << i << ": " << (T1)val
+                  << " != " << (T1)gold << " (gold)\n";
+      }
+    }
+  }
+  return err_cnt == 0;
+}
+
+template <class T> struct DataMgr {
+  T *src;
+  T *dst;
+
+  DataMgr(int N) {
+    src = new T[N];
+    dst = new T[N];
+
+    for (int i = 0; i < N; i++) {
+      src[i] = (T)i;
+      dst[i] = (T)0;
+    }
+  }
+
+  ~DataMgr() {
+    delete[] src;
+    delete[] dst;
+  }
+};
+
+template <class T, int VL, int N, int Rep, int Vs, int W, int Hs>
+bool test_impl(queue q, int offset, T (&&gold)[N]) {
+  std::cout << "Testing T=" << esimd_test::type_name<T>() << " Rep=" << Rep
+            << " "
+            << "Vs=" << Vs << " "
+            << "W=" << W << " "
+            << "Hs=" << Hs << " "
+            << "Off=" << offset << "...";
+
+  DataMgr<T> dm(VL);
+
+  try {
+    sycl::buffer<T, 1> src_buf(dm.src, VL);
+    sycl::buffer<T, 1> dst_buf(dm.dst, VL);
+
+    q.submit([&](handler &cgh) {
+       auto src_acc = src_buf.template get_access<access::mode::read>(cgh);
+       auto dst_acc = dst_buf.template get_access<access::mode::write>(cgh);
+
+       cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+         simd<T, VL> src(src_acc, 0);
+         simd<T, N> res =
+             src.template replicate_vs_w_hs<Rep, Vs, W, Hs>(offset);
+         res.copy_to(dst_acc, 0);
+       });
+     }).wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false; // not success
+  }
+  bool passed = verify<T>(dm.dst, gold, N, VL);
+  std::cout << (passed ? "ok" : "FAILED") << "\n";
+  return passed;
+}
+
+template <class T> bool test(queue q) {
+  bool passed = true;
+  // 'x' and '.' represent source elements, 'x' represent selected elements
+  // Numbers in the result - source's elements ordinals
+
+  // test_impl: <class T, int VL, int N, int Rep, int Vs, int W, int Hs>
+
+  // clang-format off
+  //|<----------- Vs=16 ----------->|
+  //   v-------v-------v W=3
+  // . x . . . x . . . x . . . . . . \ Rep=2
+  // . x . . . x . . . x . . . . . . /
+  //  |<- Hs=4->|
+  // clang-format on
+  passed &= test_impl<T, 32, 6, 2, 16, 3, 4>(
+      q, 1 /*off*/,
+      {// expected result, other elements are zeroes
+       (T)1, (T)5, (T)9, (T)17, (T)21, (T)25});
+
+  // clang-format off
+  //|<----------- Vs=17 ------------->|
+  //   v-------v-------v W=3
+  // . x . . . x . . . x . . . . . . . \ Rep=2
+  // . x . . . x . . . x . . . . .     /
+  //  |<- Hs=4->|
+  // clang-format on
+  passed &= test_impl<T, 32, 6, 2, 17, 3, 4>(
+      q, 1 /*off*/,
+      {// expected result, other elements are zeroes
+       (T)1, (T)5, (T)9, (T)18, (T)22, (T)26});
+
+  // clang-format off
+  // AOS 7x3 => SOA 3x7:
+  // x0y0z0x1y1z1x2y2z2x3y3z3x4y4z4x5y5z5x6y6z6
+  // =>
+  // x0x1x2x3x4x5x6y0y1y2y3y4y5y6z0z1z2z3z4z5z6
+  // Rep=3, VS=1, HS=3, W=7
+  // clang-format on
+  passed &= test_impl<T, 21, 21, 3, 1, 7, 3>(
+      q, 0 /*off*/,
+      {// expected result, other elements are zeroes
+       (T)0, (T)3, (T)6, (T)9,  (T)12, (T)15, (T)18,
+       (T)1, (T)4, (T)7, (T)10, (T)13, (T)16, (T)19,
+       (T)2, (T)5, (T)8, (T)11, (T)14, (T)17, (T)20});
+
+  // . . . . . . . . . . x . . . . . . . . . . . . . . . . . . . . .
+  passed &= test_impl<T, 32, 1, 1, 0, 1, 0>(
+      q, 10 /*off*/,
+      {
+          (T)10 // expected result, other elements are zeroes
+      });
+  return passed;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  const bool doublesSupported = dev.has(sycl::aspect::fp64);
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  passed &= test<half>(q);
+  passed &= test<bfloat16>(q);
+  passed &= test<unsigned char>(q);
+  passed &= test<short>(q);
+  passed &= test<unsigned short>(q);
+  passed &= test<int>(q);
+  passed &= test<uint64_t>(q);
+  passed &= test<float>(q);
+#ifdef USE_TF32
+  passed &= test<tfloat32>(q);
+#endif
+  if (doublesSupported)
+    passed &= test<double>(q);
+
+  std::cout << (passed ? "Test passed\n" : "Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/replicate_smoke_pvc.cpp b/sycl/test-e2e/ESIMD/api/replicate_smoke_pvc.cpp
new file mode 100644
index 0000000000000..3592c7389e625
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/replicate_smoke_pvc.cpp
@@ -0,0 +1,20 @@
+//==---------- replicate_smoke_pvc.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks main functionality of the esimd::replicate_vs_w_hs function.
+// PVC variant of the test - adds tfloat32.
+
+// Temporarily disable while the failure is being investigated.
+// UNSUPPORTED: windows
+
+#define USE_TF32
+
+#include "replicate_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/saturation_smoke.cpp b/sycl/test-e2e/ESIMD/api/saturation_smoke.cpp
new file mode 100644
index 0000000000000..215563f522007
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/saturation_smoke.cpp
@@ -0,0 +1,221 @@
+//==------- saturation_smoke.cpp  - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO: esimd_emulator fails due to unimplemented 'half' type
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks main functionality of esimd::saturate function.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+template <class T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+template <class T> bool verify(T *data_arr, T *gold_arr, int N) {
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < N; ++i) {
+    T val = data_arr[i];
+    T gold = gold_arr[i];
+
+    if (val != gold) {
+      if (++err_cnt < 10) {
+        using T1 = typename char_to_int<T>::type;
+        std::cout << "  failed at index " << i << ": " << (T1)val
+                  << " != " << (T1)gold << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(N - err_cnt) / (float)N) * 100.0f
+              << "% (" << (N - err_cnt) << "/" << N << ")\n";
+  }
+  return err_cnt == 0;
+}
+
+template <class From, class To, int Nx> struct DataMgr {
+  From *src;
+  To *dst;
+  To *gold;
+  static inline constexpr int N = Nx;
+
+  DataMgr(From (&&src_data)[N], To (&&gold_data)[N]) {
+    src = new From[N];
+    dst = new To[N];
+    gold = new To[N];
+
+    for (int i = 0; i < N; i++) {
+      src[i] = src_data[i];
+      dst[i] = (To)2; // 0, 1 can be results of saturation, so use 2
+      gold[i] = gold_data[i];
+    }
+  }
+
+  ~DataMgr() {
+    delete[] src;
+    delete[] dst;
+    delete[] gold;
+  }
+};
+
+template <class From, class To, template <class, class> class Mgr>
+bool test(queue q) {
+  std::cout << "Testing " << typeid(From).name() << " -> " << typeid(To).name()
+            << "\n";
+
+  Mgr<From, To> dm;
+  constexpr int N = Mgr<From, To>::N;
+
+  try {
+    sycl::buffer<From, 1> src_buf(dm.src, N);
+    sycl::buffer<To, 1> dst_buf(dm.dst, N);
+
+    auto e = q.submit([&](handler &cgh) {
+      auto src_acc = src_buf.template get_access<access::mode::read>(cgh);
+      auto dst_acc = dst_buf.template get_access<access::mode::write>(cgh);
+
+      cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+        simd<From, N> x(src_acc, 0);
+        simd<To, N> y = saturate<To>(x);
+        y.copy_to(dst_acc, 0);
+      });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false; // not success
+  }
+  return verify<To>(dm.dst, dm.gold, N);
+}
+
+// clang-format off
+template <class From, class To> struct FpToInt : public DataMgr<From, To, 2> {
+  static_assert(
+    (std::is_floating_point_v<From> || std::is_same_v<From, half>) &&
+     std::is_integral_v<To>);
+  static inline constexpr int N = 2;
+
+  FpToInt() : DataMgr<From, To, N>(
+    // need this trick with -127 + 130 because INT_MAX is not accurately
+    // representable with float, and compiler warns:
+    //   implicit conversion from 'int' to 'const float' changes value from
+    //   2147483647 to 2147483648
+    // INT_MAX-127 is accurately representable with float. Use +130 to exceed
+    // representable range to actually test saturation.
+    // Test data:
+    { (From)std::numeric_limits<To>::min() - 10,
+      (From)(std::numeric_limits<To>::max()-127) + 130 },
+    // Gold data (saturated test data):
+    { std::numeric_limits<To>::min(),
+      std::numeric_limits<To>::max() })
+  {}
+};
+
+template <class From, class To>
+struct UIntToSameOrNarrowAnyInt : public DataMgr<From, To, 1> {
+  static_assert(std::is_integral_v<To> && std::is_integral_v<From> &&
+                !std::is_signed_v<From> && (sizeof(From) >= sizeof(To)));
+  static inline constexpr int N = 1;
+
+  UIntToSameOrNarrowAnyInt() : DataMgr<From, To, N>(
+    { (From)((From)std::numeric_limits<To>::max() + (From)10) },
+    { (To)std::numeric_limits<To>::max() })
+  {}
+};
+
+template <class From, class To>
+struct IntToWiderUInt : public DataMgr<From, To, 1> {
+  static_assert(std::is_signed_v<From> && !std::is_signed_v<To> &&
+                (sizeof(From) < sizeof(To)));
+  static inline constexpr int N = 1;
+
+  IntToWiderUInt() : DataMgr<From, To, N>(
+    { (From)-1 },
+    { (To)0 })
+  {}
+};
+
+template <class From, class To>
+struct SIntToNarrowAnyInt : public DataMgr<From, To, 2> {
+  static_assert(std::is_integral_v<From> && std::is_signed_v<From> &&
+                std::is_integral_v<To> && (sizeof(From) > sizeof(To)));
+  static inline constexpr int N = 2;
+
+  SIntToNarrowAnyInt() : DataMgr<From, To, N>(
+    { (From)std::numeric_limits<To>::max() + 10,
+      (From)std::numeric_limits<To>::min() - 10 },
+    { (To)std::numeric_limits<To>::max(),
+      (To)std::numeric_limits<To>::min() })
+  {}
+};
+
+template <class From, class To> struct FpToFp : public DataMgr<From, To, 5> {
+  static_assert((std::is_floating_point_v<To> || std::is_same_v<To, half>));
+  static inline constexpr int N = 5;
+
+  FpToFp() : DataMgr<From, To, N>(
+    { (From)-10, (From)0, (From)0.5,       (From)1, (From)10 },
+    { (To)0,     (To)0,   (To)((From)0.5), (To)1,   (To)1 })
+  {}
+};
+
+// clang-format on
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  const bool doublesSupported = dev.has(sycl::aspect::fp64);
+  const bool halfsSupported = dev.has(sycl::aspect::fp16);
+
+  bool passed = true;
+  if (halfsSupported)
+    passed &= test<half, int, FpToInt>(q);
+  if (halfsSupported)
+    passed &= test<half, unsigned char, FpToInt>(q);
+  passed &= test<float, int, FpToInt>(q);
+  if (doublesSupported)
+    passed &= test<double, short, FpToInt>(q);
+
+  passed &= test<unsigned char, char, UIntToSameOrNarrowAnyInt>(q);
+  passed &= test<unsigned short, short, UIntToSameOrNarrowAnyInt>(q);
+  passed &= test<unsigned int, int, UIntToSameOrNarrowAnyInt>(q);
+  passed &= test<unsigned int, char, UIntToSameOrNarrowAnyInt>(q);
+  passed &= test<unsigned short, unsigned char, UIntToSameOrNarrowAnyInt>(q);
+
+  passed &= test<char, unsigned int, IntToWiderUInt>(q);
+  passed &= test<char, unsigned short, IntToWiderUInt>(q);
+  passed &= test<short, unsigned int, IntToWiderUInt>(q);
+
+  passed &= test<short, char, SIntToNarrowAnyInt>(q);
+  passed &= test<int, unsigned char, SIntToNarrowAnyInt>(q);
+
+  passed &= test<float, float, FpToFp>(q);
+  if (halfsSupported)
+    passed &= test<half, half, FpToFp>(q);
+  if (doublesSupported)
+    passed &= test<double, double, FpToFp>(q);
+
+  std::cout << (passed ? "Test passed\n" : "Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_any_all.cpp b/sycl/test-e2e/ESIMD/api/simd_any_all.cpp
new file mode 100644
index 0000000000000..aadd2914af125
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_any_all.cpp
@@ -0,0 +1,156 @@
+//==------- esimd_any_all.cpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Smoke test for esimd any/all operations APIs.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <string>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+struct bit_op {
+  enum { any, all, num_ops };
+};
+
+template <typename T, int N, int Op> struct test_id;
+
+template <typename T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+// The main test routine.
+template <typename T, int N, int Op> bool test_impl(queue q) {
+  const char *ops[bit_op::num_ops] = {"any", "all"};
+  std::cout << "Testing op=" << ops[Op] << " T=" << typeid(T).name()
+            << ", N=" << N << "...\n";
+
+  simd<T, N> all_zero((T)0);
+  simd<T, N> all_one((T)1);
+  if (std::is_signed_v<T>) {
+    all_one[0] = -1;
+  }
+  simd<T, N> all_two((T)2); // check that non-zero with LSB=0 counts as 'set'
+  if (std::is_signed_v<T>) {
+    all_two[N - 1] = -2;
+  }
+  simd<T, N> zero_two((T)0);
+
+  if (N > 1) {
+    zero_two[1] = 2;
+  }
+
+  simd<T, N> test_vals_arr[] = {all_zero, all_one, all_two, zero_two};
+  constexpr size_t num_vals = sizeof(test_vals_arr) / sizeof(test_vals_arr[0]);
+  T *test_vals = sycl::malloc_shared<T>(num_vals * N, q);
+  uint16_t *res = sycl::malloc_shared<uint16_t>(num_vals, q);
+
+  for (unsigned int i = 0; i < num_vals; ++i) {
+    res[i] = 0xFFff;
+  }
+  memcpy(test_vals, test_vals_arr, sizeof(test_vals_arr));
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.single_task<test_id<T, N, Op>>([=]() SYCL_ESIMD_KERNEL {
+        for (int i = 0; i < num_vals; i++) {
+          simd<T, N> src(test_vals + i * N);
+
+          if constexpr (Op == bit_op::any) {
+            res[i] = src.any();
+          } else if constexpr (Op == bit_op::all) {
+            res[i] = src.all();
+          }
+        }
+      });
+    });
+    e.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "  SYCL exception caught: " << e.what() << '\n';
+    sycl::free(res, q);
+    sycl::free(test_vals, q);
+    return false;
+  }
+
+  unsigned int Gold[num_vals * bit_op::num_ops] = {
+      // any:
+      0, // all zero
+      1, // all one
+      1, // all two
+      1, // zero, two
+      // all:
+      0, // all zero
+      1, // all one
+      1, // all two
+      0, // zero, two
+  };
+  int err_cnt = 0;
+
+  using ValTy = typename char_to_int<T>::type;
+
+  for (unsigned i = 0; i < num_vals; ++i) {
+    if ((N == 1) && (i == 3)) {
+      continue; // (zero, two) testcase not available for single element
+    }
+    T gold = Gold[Op * num_vals + i];
+    T val = res[i];
+    std::cout << "  " << ops[Op] << "(" << (simd<ValTy, N>)test_vals_arr[i]
+              << ") = " << (ValTy)val;
+
+    if (val != gold) {
+      ++err_cnt;
+      std::cout << " ERROR. " << (ValTy)val << " != " << (ValTy)gold
+                << "(gold)\n";
+    } else {
+      std::cout << " (ok)\n";
+    }
+  }
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  sycl::free(res, q);
+  sycl::free(test_vals, q);
+  return err_cnt > 0 ? false : true;
+}
+
+template <class T1, class T2> bool test(queue q) {
+  bool passed = true;
+  passed &= test_impl<T1, 32, bit_op::any>(q);
+  passed &= test_impl<T1, 8, bit_op::all>(q);
+  passed &= test_impl<T2, 3, bit_op::any>(q);
+  passed &= test_impl<T2, 1, bit_op::all>(q);
+  return passed;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<int8_t, uint8_t>(q);
+  passed &= test<int16_t, uint16_t>(q);
+  passed &= test<int32_t, uint32_t>(q);
+  passed &= test<int64_t, uint64_t>(q);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_binop_integer_promotion.cpp b/sycl/test-e2e/ESIMD/api/simd_binop_integer_promotion.cpp
new file mode 100644
index 0000000000000..c7d7f7cb086fa
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_binop_integer_promotion.cpp
@@ -0,0 +1,120 @@
+//==---- simd_binop_integer_promotion.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that ESIMD binary operation APIs honor integer promotion
+// rules. E.g.:
+//   simd <short, 32> a;
+//   simd <short, 32> b;
+//   a + b; // yield simd <int, 32>
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <limits>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+template <typename T> struct KernelName;
+
+// The main test routine.
+template <typename T> bool test(queue q) {
+  constexpr unsigned VL = 16;
+
+  T A[VL];
+  T B[VL];
+  using T_promoted = decltype(T{} + T{});
+  T_promoted C[VL];
+
+  std::cout << "Testing " << typeid(T).name() << " + " << typeid(T).name()
+            << " => " << typeid(T_promoted).name() << " ...\n";
+
+  for (unsigned i = 0; i < VL; ++i) {
+    A[i] = i;
+    B[i] = 1;
+  }
+  T maxNum = std::numeric_limits<T>::max();
+  // test overflow in one of the lanes
+  A[VL / 2] = maxNum;
+  B[VL / 2] = maxNum;
+
+  try {
+    buffer<T, 1> bufA(A, range<1>(VL));
+    buffer<T, 1> bufB(B, range<1>(VL));
+    buffer<T_promoted, 1> bufC(C, range<1>(VL));
+    range<1> glob_range{1};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufA.template get_access<access::mode::read>(cgh);
+      auto PB = bufB.template get_access<access::mode::read>(cgh);
+      auto PC = bufC.template get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelName<T>>(
+          glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::experimental::esimd;
+            unsigned int offset = i * VL * sizeof(T);
+            simd<T, VL> va;
+            va.copy_from(PA, offset);
+            simd<T, VL> vb;
+            vb.copy_from(PB, offset);
+            auto vc = va + vb;
+            unsigned int offsetC = i * VL * sizeof(T_promoted);
+            vc.copy_to(PC, offsetC);
+          });
+    });
+    q.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < VL; ++i) {
+    T_promoted gold = (T_promoted)(A[i] + B[i]);
+    T_promoted val = C[i];
+
+    if (val != gold) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ": " << val << " != " << gold
+                  << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (VL - err_cnt) << "/" << VL << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<unsigned short>(q);
+  passed &= test<short>(q);
+  passed &= test<unsigned char>(q);
+  passed &= test<char>(q);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_copy_to_from.cpp b/sycl/test-e2e/ESIMD/api/simd_copy_to_from.cpp
new file mode 100644
index 0000000000000..8d13c429563c3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_copy_to_from.cpp
@@ -0,0 +1,270 @@
+//==----- simd_copy_to_from.cpp  - DPC++ ESIMD simd::copy_to/from test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks simd::copy_from/to methods with alignment flags.
+
+#include "../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <array>
+#include <cstdlib>
+#include <iostream>
+#include <sycl/builtins_esimd.hpp>
+#include <sycl/sycl.hpp>
+#ifdef _WIN32
+#include <malloc.h>
+#endif // _WIN32
+
+#include <sycl/ext/intel/esimd.hpp>
+
+// Workaround for absense of std::aligned_alloc on Windows.
+#ifdef _WIN32
+#define aligned_malloc(align, size) _aligned_malloc(size, align)
+#define aligned_free(ptr) _aligned_free(ptr)
+#else // _WIN32
+#define aligned_malloc(align, size) std::aligned_alloc(align, size)
+#define aligned_free(ptr) std::free(ptr)
+#endif // _WIN32
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using tfloat32 = sycl::ext::intel::experimental::esimd::tfloat32;
+
+template <typename T, int N, typename Flags>
+bool testUSM(queue &Q, T *Src, T *Dst, unsigned Off, Flags) {
+  std::cout << "  Running USM test. T=" << esimd_test::type_name<T>()
+            << ", Flags=" << typeid(Flags).name() << ", N=" << N << "...\n";
+
+  for (int I = 0; I < N; ++I) {
+    Src[I + Off] = I + 1;
+    Dst[I + Off] = 0;
+  }
+
+  try {
+    Q.submit([&](handler &CGH) {
+       CGH.parallel_for(sycl::range<1>{1}, [=](id<1>) SYCL_ESIMD_KERNEL {
+         simd<T, N> Vals;
+         Vals.copy_from(Src + Off, Flags{});
+         Vals.copy_to(Dst + Off, Flags{});
+       });
+     }).wait();
+  } catch (sycl::exception const &E) {
+    std::cout << "ERROR. SYCL exception caught: " << E.what() << std::endl;
+    return false;
+  }
+
+  unsigned NumErrs = 0;
+  for (int I = 0; I < N; ++I)
+    if (Dst[I + Off] != Src[I + Off])
+      if (++NumErrs <= 10)
+        std::cout << "failed at " << I << ": " << Dst[I + Off]
+                  << " (Dst) != " << Src[I + Off] << " (Src)\n";
+
+  std::cout << (NumErrs == 0 ? "    Passed\n" : "    FAILED\n");
+  return NumErrs == 0;
+}
+
+template <typename T, int N, typename Flags>
+bool testAcc(queue &Q, T *Src, T *Dst, unsigned Off, Flags) {
+  std::cout << "  Running accessor test. T=" << esimd_test::type_name<T>()
+            << ", Flags=" << typeid(Flags).name() << ", N=" << N << "...\n";
+
+  for (int I = 0; I < N; ++I) {
+    Src[I + Off] = I + 1;
+    Dst[I + Off] = 0;
+  }
+
+  try {
+    buffer<T, 1> SrcB(Src, range<1>(Off + N));
+    buffer<T, 1> DstB(Dst, range<1>(Off + N));
+
+    Q.submit([&](handler &CGH) {
+       auto SrcA = SrcB.template get_access<access::mode::read>(CGH);
+       auto DstA = DstB.template get_access<access::mode::write>(CGH);
+
+       CGH.parallel_for(sycl::range<1>{1}, [=](id<1>) SYCL_ESIMD_KERNEL {
+         simd<T, N> Vals;
+         Vals.copy_from(SrcA, Off * sizeof(T), Flags{});
+         Vals.copy_to(DstA, Off * sizeof(T), Flags{});
+       });
+     }).wait();
+  } catch (sycl::exception const &E) {
+    std::cout << "ERROR. SYCL exception caught: " << E.what() << std::endl;
+    return false;
+  }
+
+  unsigned NumErrs = 0;
+  for (int I = 0; I < N; ++I)
+    if (Dst[I + Off] != Src[I + Off])
+      if (++NumErrs <= 10)
+        std::cout << "failed at " << I << ": " << Dst[I + Off]
+                  << " (Dst) != " << Src[I + Off] << " (Src)\n";
+
+  std::cout << (NumErrs == 0 ? "    Passed\n" : "    FAILED\n");
+  return NumErrs == 0;
+}
+
+template <typename T, int N> bool testUSM(queue &Q) {
+  struct Deleter {
+    queue Q;
+    void operator()(T *Ptr) {
+      if (Ptr) {
+        sycl::free(Ptr, Q);
+      }
+    }
+  };
+
+  std::unique_ptr<T, Deleter> Src(sycl::aligned_alloc_shared<T>(1024u, 512u, Q),
+                                  Deleter{Q});
+  std::unique_ptr<T, Deleter> Dst(sycl::aligned_alloc_shared<T>(1024u, 512u, Q),
+                                  Deleter{Q});
+
+  constexpr unsigned VecAlignOffset = esimd::detail::getNextPowerOf2<N>();
+
+  bool Pass = true;
+
+  Pass &= testUSM<T, N>(Q, Src.get(), Dst.get(), VecAlignOffset + 1u,
+                        element_aligned);
+  Pass &=
+      testUSM<T, N>(Q, Src.get(), Dst.get(), VecAlignOffset, vector_aligned);
+  Pass &= testUSM<T, N>(Q, Src.get(), Dst.get(), 128u / sizeof(T),
+                        overaligned<128u>);
+
+  return Pass;
+}
+
+template <typename T> bool testUSM(queue &Q) {
+  bool Pass = true;
+
+  Pass &= testUSM<T, 1>(Q);
+  // TODO some of the sizes are commented out to speed-up testing - this test
+  // runs ~160 seconds in CI if all sizes are enabled
+  // Pass &= testUSM<T, 2>(Q);
+  // Pass &= testUSM<T, 3>(Q);
+  // Pass &= testUSM<T, 4>(Q);
+
+  Pass &= testUSM<T, 7>(Q);
+  Pass &= testUSM<T, 8>(Q);
+
+  // Pass &= testUSM<T, 15>(Q);
+  Pass &= testUSM<T, 16>(Q);
+
+  // Pass &= testUSM<T, 24>(Q);
+  Pass &= testUSM<T, 25>(Q);
+
+  // Pass &= testUSM<T, 31>(Q);
+  Pass &= testUSM<T, 32>(Q);
+
+  Pass &= testUSM<T, 91>(Q);
+  // Pass &= testUSM<T, 92>(Q);
+
+  return Pass;
+}
+
+template <typename T, int N> bool testAcc(queue &Q) {
+  struct Deleter {
+    void operator()(T *Ptr) {
+      if (Ptr) {
+        aligned_free(Ptr);
+      }
+    }
+  };
+
+  std::unique_ptr<T, Deleter> Src(
+      static_cast<T *>(aligned_malloc(1024u, 512u * sizeof(T))), Deleter{});
+  std::unique_ptr<T, Deleter> Dst(
+      static_cast<T *>(aligned_malloc(1024u, 512u * sizeof(T))), Deleter{});
+
+  constexpr unsigned VecAlignOffset = esimd::detail::getNextPowerOf2<N>();
+
+  bool Pass = true;
+
+  Pass &= testAcc<T, N>(Q, Src.get(), Dst.get(), VecAlignOffset + 1u,
+                        element_aligned);
+  Pass &=
+      testAcc<T, N>(Q, Src.get(), Dst.get(), VecAlignOffset, vector_aligned);
+  Pass &= testAcc<T, N>(Q, Src.get(), Dst.get(), 128u / sizeof(T),
+                        overaligned<128u>);
+
+  return Pass;
+}
+
+template <typename T> bool testAcc(queue &Q) {
+  bool Pass = true;
+
+  Pass &= testAcc<T, 1>(Q);
+  // Pass &= testAcc<T, 2>(Q);
+  Pass &= testAcc<T, 3>(Q);
+  // Pass &= testAcc<T, 4>(Q);
+
+  // Pass &= testAcc<T, 7>(Q);
+  Pass &= testAcc<T, 8>(Q);
+
+  // Pass &= testAcc<T, 15>(Q);
+  Pass &= testAcc<T, 16>(Q);
+
+  // Pass &= testAcc<T, 24>(Q);
+  Pass &= testAcc<T, 25>(Q);
+
+  // Pass &= testAcc<T, 31>(Q);
+  Pass &= testAcc<T, 32>(Q);
+
+  // Pass &= testAcc<T, 91>(Q);
+  Pass &= testAcc<T, 92>(Q);
+
+  return Pass;
+}
+
+int main(void) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool Pass = true;
+
+#ifdef ESIMD_TESTS_FULL_COVERAGE
+  Pass &= testUSM<int8_t>(Q);
+  Pass &= testUSM<uint16_t>(Q);
+  Pass &= testUSM<int32_t>(Q);
+  Pass &= testUSM<uint64_t>(Q);
+  Pass &= testUSM<float>(Q);
+  Pass &= testUSM<double>(Q);
+  Pass &= testUSM<half>(Q);
+
+  Pass &= testAcc<uint8_t>(Q);
+  Pass &= testAcc<int16_t>(Q);
+  Pass &= testAcc<uint32_t>(Q);
+  Pass &= testAcc<int64_t>(Q);
+  Pass &= testAcc<float>(Q);
+  Pass &= testAcc<double>(Q);
+  Pass &= testAcc<half>(Q);
+#else
+  Pass &= testUSM<uint16_t>(Q);
+  Pass &= testUSM<float>(Q);
+  Pass &= testUSM<bfloat16>(Q);
+
+  Pass &= testAcc<int16_t>(Q);
+  Pass &= testAcc<float>(Q);
+  Pass &= testAcc<bfloat16>(Q);
+#endif
+#ifdef USE_TF32
+  Pass &= testUSM<tfloat32>(Q);
+  Pass &= testAcc<tfloat32>(Q);
+#endif
+
+  std::cout << (Pass ? "Test Passed\n" : "Test FAILED\n");
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_copy_to_from_pvc.cpp b/sycl/test-e2e/ESIMD/api/simd_copy_to_from_pvc.cpp
new file mode 100644
index 0000000000000..1668fc2f97ad4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_copy_to_from_pvc.cpp
@@ -0,0 +1,17 @@
+//==---------- simd_copy_to_from_pvc.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks simd::copy_from/to methods with alignment flags.
+// PVC variant of the test - adds tfloat32.
+
+#define USE_TF32
+
+#include "simd_copy_to_from.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/simd_mask.cpp b/sycl/test-e2e/ESIMD/api/simd_mask.cpp
new file mode 100644
index 0000000000000..5181b90e340f0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_mask.cpp
@@ -0,0 +1,344 @@
+//==---------------- simd_mask.cpp  - DPC++ ESIMD simd_mask API test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-unnamed-lambda -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Smoke test for simd_mask API functionality.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <limits>
+#include <memory>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+#include <utility>
+
+using namespace sycl::ext::intel::esimd;
+using namespace sycl;
+
+template <int N> using value_type = typename simd_mask<N>::element_type;
+
+template <int N> static inline constexpr value_type<N> Error = 0;
+template <int N> static inline constexpr value_type<N> Pass = 1;
+
+// Slow mask storage function independent of simd_mask::copy_to (memory) and
+// simd_mask::value_type.
+template <int N>
+static SYCL_ESIMD_FUNCTION void store(value_type<N> *Ptr, simd_mask<N> M) {
+  value_type<N> Arr[N];
+  M.copy_to(Arr);
+
+  for (auto I = 0; I < N; ++I) {
+    Ptr[I] = Arr[I] ? 1 : 0;
+  }
+}
+
+// Slow mask storage function independent of simd_mask::copy_from (memory) and
+// simd_mask::value_type.
+template <int N>
+static SYCL_ESIMD_FUNCTION simd_mask<N> load(value_type<N> *Ptr) {
+  value_type<N> Arr[N];
+  for (auto I = 0; I < N; ++I) {
+    Arr[I] = Ptr[I] ? 1 : 0;
+  }
+  simd_mask<N> M(std::move(Arr));
+  return M;
+}
+
+// Apply F to each element of M and write result to Res.
+template <typename PerElemF, int N>
+static SYCL_ESIMD_FUNCTION void
+check_mask(const simd_mask<N> &M, typename simd_mask<N>::element_type *Res,
+           PerElemF F) {
+  for (auto I = 0; I < N; ++I) {
+    value_type<N> Val = F(M[I]) ? Pass<N> : Error<N>;
+    Res[I] = Val;
+  }
+}
+
+// Slow check if M1 and M2 are equal and write result to Res.
+template <int N>
+static SYCL_ESIMD_FUNCTION void
+check_masks_equal(const simd_mask<N> &M1, const simd_mask<N> &M2,
+                  typename simd_mask<N>::element_type *Res) {
+  for (auto I = 0; I < N; ++I) {
+    value_type<N> Val = ((M1[I] == 0) == (M2[I] == 0)) ? Pass<N> : Error<N>;
+    Res[I] = Val;
+  }
+}
+
+// Represents a generic test case. Each test case has two optional inputs -
+// In and InvIn, and one mandatory output - Res. Each input and output element
+// matches the simd_mask value type, there is one data element in each per
+// NDRange element. InvIn is a logical inversion of In for easier validation of
+// operations.
+template <int N> struct sub_test {
+  using value_type = typename simd_mask<N>::element_type;
+
+  // Used to automatically free USM memory allocated for input/output.
+  struct usm_deleter {
+    queue Q;
+
+    void operator()(value_type *Ptr) {
+      if (Ptr) {
+        sycl::free(Ptr, Q);
+      }
+    }
+  };
+
+  queue Q;
+  using ptr_type = std::unique_ptr<value_type, usm_deleter>;
+  ptr_type In;
+  ptr_type InvIn;
+  ptr_type Res;
+  size_t Size = N * 7;
+
+  sub_test(queue Q, bool Need2Inputs = false) : Q(Q) {
+    In = ptr_type{nullptr, usm_deleter{Q}};
+    InvIn = ptr_type{nullptr, usm_deleter{Q}};
+    Res = ptr_type{nullptr, usm_deleter{Q}};
+    init(Need2Inputs);
+  }
+
+  void init(bool Need2Inputs) {
+    device Dev = Q.get_device();
+    context Ctx = Q.get_context();
+    const auto Sz = Size * sizeof(value_type);
+    In.reset(static_cast<value_type *>(malloc_shared(Sz, Dev, Ctx)));
+    if (Need2Inputs)
+      InvIn.reset(static_cast<value_type *>(malloc_shared(Sz, Dev, Ctx)));
+    Res.reset(static_cast<value_type *>(malloc_shared(Sz, Dev, Ctx)));
+    if (!In || (Need2Inputs && !InvIn) || !Res) {
+      throw sycl::exception(std::error_code{}, "malloc_shared failed");
+    }
+    for (unsigned I = 0; I < Size; I += N) {
+      unsigned J = 0;
+
+      for (; J < N / 2; ++J) {
+        auto Ind = I + J;
+        In.get()[Ind] = 1;
+        if (Need2Inputs)
+          InvIn.get()[Ind] = 0;
+        Res.get()[Ind] = Error<N>;
+      }
+      for (; J < N; ++J) {
+        auto Ind = I + J;
+        In.get()[Ind] = 0;
+        if (Need2Inputs)
+          InvIn.get()[Ind] = 1;
+        Res.get()[Ind] = Error<N>;
+      }
+    }
+  }
+
+  // The main test function which submits the test kernel F.
+  template <typename FuncType> bool run(const char *Name, FuncType F) {
+    std::cout << "  Running " << Name << " API test, N=" << N << "...\n";
+
+    // Submit the kernel.
+    try {
+      sycl::range<1> R{Size / N};
+      auto E = Q.submit([&](handler &CGH) { CGH.parallel_for(R, F); });
+      E.wait();
+    } catch (sycl::exception &Exc) {
+      std::cout << "    *** ERROR. SYCL exception caught: << " << Exc.what()
+                << "\n";
+      return false;
+    }
+    // Verify results - basically see if there are no non-zeros in the 'Res'
+    // array.
+    int ErrCnt = 0;
+
+    for (auto I = 0; I < Size; ++I) {
+      if (Res.get()[I] == Error<N>) {
+        if (++ErrCnt < 10) {
+          std::cout << "    failed at index " << I << "\n";
+        }
+      }
+    }
+    if (ErrCnt > 0) {
+      std::cout << "    pass rate: "
+                << ((float)(Size - ErrCnt) / (float)Size) * 100.0f << "% ("
+                << (Size - ErrCnt) << "/" << Size << ")\n";
+    }
+    std::cout << (ErrCnt > 0 ? "    FAILED\n" : "    Passed\n");
+    return ErrCnt == 0;
+  }
+};
+
+// Defines actual test cases.
+template <int N> struct simd_mask_api_test {
+  using value_type = typename simd_mask<N>::element_type;
+
+  bool run(queue Q) {
+    bool Passed = true;
+
+    // Tests for constructors and operators ! [].
+    {
+      sub_test<N> Test(Q);
+      value_type *In = Test.In.get();
+      value_type *Res = Test.Res.get();
+      Passed &= Test.run(
+          "broadcast constructor, operator[]", [=](id<1> Id) SYCL_ESIMD_KERNEL {
+            auto Off = Id * N;
+            simd_mask<N> M0 = load<N>(In + Off); // 1..1,0...0
+            simd_mask<N> M1(M0[0]);
+            check_mask(M1, Res + Off, [](value_type V) { return V != 0; });
+          });
+    }
+    {
+      sub_test<N> Test(Q);
+      value_type *Res = Test.Res.get();
+      Passed &=
+          Test.run("value initialization", [=](id<1> Id) SYCL_ESIMD_KERNEL {
+            auto Off = Id * N;
+            simd_mask<N> M0{};
+        // TODO FIXME Shorter version not work due to a BE bug
+#define WORKAROUND_BE_BUG
+#ifdef WORKAROUND_BE_BUG
+            for (auto I = 0; I < N; ++I) {
+              if (M0[I] == 0) {
+                Res[Off + I] = Pass<N>;
+              }
+              // else write Error<N>, but its already there
+            }
+#else
+        check_mask(M0, Res + Off, [](value_type V) { return (V == 0); });
+#endif // WORKAROUND_BE_BUG
+#undef WORKAROUND_BE_BUG
+          });
+    }
+    {
+      sub_test<N> Test(Q, true /*need InInv*/);
+      value_type *In = Test.In.get();
+      value_type *InInv = Test.InvIn.get();
+      value_type *Res = Test.Res.get();
+      Passed &= Test.run("operator!", [=](id<1> Id) SYCL_ESIMD_KERNEL {
+        auto Off = Id * N;
+        simd_mask<N> M0 = load<N>(In + Off); // 1..1,0...0
+        simd_mask<N> M1 = !M0;
+        simd_mask<N> M2 = load<N>(InInv + Off); // 0..0,1...1
+        check_masks_equal(M1, M2, Res + Off);
+      });
+    }
+
+    // Tests for binary and assignment operators.
+
+#define RUN_TEST(Op, Gold)                                                     \
+  {                                                                            \
+    sub_test<N> Test(Q, true /*need InInv*/);                                  \
+    value_type *In = Test.In.get();                                            \
+    value_type *InInv = Test.InvIn.get();                                      \
+    value_type *Res = Test.Res.get();                                          \
+    Passed &= Test.run("operator " #Op, [=](id<1> Id) SYCL_ESIMD_KERNEL {      \
+      auto Off = Id * N;                                                       \
+      simd_mask<N> M0 = load<N>(In + Off);    /* 1..1,0...0 */                 \
+      simd_mask<N> M1 = load<N>(InInv + Off); /* 0..0,1...1 */                 \
+      simd_mask<N> M2 = M0 Op M1;                                              \
+      simd_mask<N> MGold((value_type)Gold);                                    \
+      check_masks_equal(M2, MGold, Res + Off);                                 \
+    });                                                                        \
+  }
+
+    RUN_TEST(&&, 0);
+    RUN_TEST(||, 1);
+    RUN_TEST(&, 0);
+    RUN_TEST(|, 1);
+    RUN_TEST(^, 1);
+    RUN_TEST(==, 0);
+    RUN_TEST(!=, 1);
+    RUN_TEST(&=, 0);
+    RUN_TEST(|=, 1);
+    RUN_TEST(^=, 1);
+#undef RUN_TEST
+
+    if constexpr (N == 8 || N == 32) {
+      // Tests for APIs that access memory.
+      {
+        sub_test<N> Test(Q);
+        value_type *In = Test.In.get();
+        value_type *Res = Test.Res.get();
+        Passed &= Test.run("load constructor", [=](id<1> Id) SYCL_ESIMD_KERNEL {
+          auto Off = Id * N;
+          simd_mask<N> M0 = load<N>(In + Off);
+          simd_mask<N> M1(In + Off);
+          check_masks_equal(M0, M1, Res + Off);
+        });
+      }
+      {
+        sub_test<N> Test(Q);
+        value_type *In = Test.In.get();
+        value_type *Res = Test.Res.get();
+        Passed &= Test.run("copy_from", [=](id<1> Id) SYCL_ESIMD_KERNEL {
+          auto Off = Id * N;
+          simd_mask<N> M0 = load<N>(In + Off);
+          simd_mask<N> M1;
+          M1.copy_from(In + Off);
+          check_masks_equal(M0, M1, Res + Off);
+        });
+      }
+      {
+        sub_test<N> Test(Q, true /*need InInv*/);
+        value_type *In = Test.In.get();
+        value_type *InInv = Test.InvIn.get();
+        value_type *Res = Test.Res.get();
+        Passed &= Test.run("copy_to", [=](id<1> Id) SYCL_ESIMD_KERNEL {
+          auto Off = Id * N;
+          simd_mask<N> M0 = load<N>(In + Off);
+          M0.copy_to(InInv + Off);
+          simd_mask<N> M1 = load<N>(InInv + Off);
+          check_masks_equal(M0, M1, Res + Off);
+        });
+      }
+      // Tests for APIs select operation.
+      {
+        sub_test<N> Test(Q, true /*need InInv*/);
+        value_type *In = Test.In.get();
+        value_type *InInv = Test.InvIn.get();
+        value_type *Res = Test.Res.get();
+        Passed &= Test.run("read/write through simd_mask::select() ",
+                           [=](id<1> Id) SYCL_ESIMD_KERNEL {
+                             auto Off = Id * N;
+                             simd_mask<N> M0 = load<N>(In + Off); // 1..1,0...0
+                             simd_mask<N> M1(0);
+                             // swap halves of M0 into M1
+                             M1.template select<N / 2, 1>(0) =
+                                 M0.template select<N / 2, 1>(N / 2);
+                             M1.template select<N / 2, 1>(N / 2) =
+                                 M0.template select<N / 2, 1>(0);
+                             // Read the inversed mask, which should be equal to
+                             // M1
+                             simd_mask<N> M2 = load<N>(InInv + Off);
+                             M2.template select<N / 2, 1>(0) &=
+                                 M1.template select<N / 2, 1>(0); // no-op
+                             check_masks_equal(M1, M2, Res + Off);
+                           });
+      }
+    }
+    return Passed;
+  }
+};
+
+int main(int argc, char **argv) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool Passed = true;
+  // Run tests for different mask size, including the one exceeding the h/w flag
+  // register width and being not multiple of such.
+  Passed &= simd_mask_api_test<8>().run(Q);
+  Passed &= simd_mask_api_test<32>().run(Q);
+  Passed &= simd_mask_api_test<67>().run(Q);
+  std::cout << (Passed ? "Test Passed\n" : "Test FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_memory_access.cpp b/sycl/test-e2e/ESIMD/api/simd_memory_access.cpp
new file mode 100644
index 0000000000000..f5156f77fcf65
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_memory_access.cpp
@@ -0,0 +1,186 @@
+//==------- simd_memory_access.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the memory access APIs which are members of
+// the simd class.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+template <typename T>
+using Acc = accessor<T, 1, access_mode::read_write, access::target::device>;
+
+template <typename T, int N, bool IsAcc> struct Kernel;
+
+// Accessor-based kernel.
+template <typename T, int N> struct Kernel<T, N, true> {
+  Acc<T> acc;
+  Kernel(Acc<T> acc) : acc(acc) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    const uint32_t ii = static_cast<uint32_t>(i.get(0));
+    simd<T, N> v;
+    const auto offset = ii * sizeof(v);
+    v.copy_from(acc, offset);
+    v += simd<T, N>(ii * N, 1);
+    v.copy_to(acc, offset);
+  }
+};
+
+// Pointer-based kernel.
+template <typename T, int N> struct Kernel<T, N, false> {
+  T *ptr;
+  Kernel(T *ptr) : ptr(ptr) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    const uint32_t ii = static_cast<uint32_t>(i.get(0));
+    simd<T, N> v;
+    const auto offset = ii * (sizeof(v) / sizeof(T));
+    v.copy_from(ptr + offset);
+    v += simd<T, N>(ii * N, 1);
+    v.copy_to(ptr + offset);
+  }
+};
+
+template <typename T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+template <bool IsAcc, typename T> void free_mem(T *ptr, sycl::queue q) {
+  if constexpr (IsAcc) {
+    delete[] ptr;
+  } else {
+    sycl::free(ptr, q);
+  }
+}
+
+// The main test routine.
+template <typename T, int N, bool IsAcc> bool test(queue q, size_t size) {
+  std::cout << "Testing T=" << typeid(T).name() << ", N=" << N
+            << " using accessor=" << IsAcc << "...\n";
+  T *A;
+  if constexpr (IsAcc)
+    A = new T[size];
+  else
+    A = sycl::malloc_shared<T>(size, q);
+
+  for (unsigned i = 0; i < size; ++i) {
+    A[i] = i; // should not be zero to test `copy_from` really works
+  }
+
+  try {
+    if constexpr (IsAcc) {
+      buffer<T, 1> buf(A, range<1>(size));
+      range<1> glob_range{size / N};
+
+      auto e = q.submit([&](handler &cgh) {
+        auto acc = buf.template get_access<access::mode::read_write>(cgh);
+        Kernel<T, N, true> kernel(acc);
+        cgh.parallel_for(glob_range, kernel);
+      });
+    } else {
+      range<1> glob_range{size / N};
+
+      auto e = q.submit([&](handler &cgh) {
+        Kernel<T, N, false> kernel(A);
+        cgh.parallel_for(glob_range, kernel);
+      });
+    }
+    q.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free_mem<IsAcc>(A, q);
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < size; ++i) {
+    T gold = (T)(i * 2);
+    T val = A[i];
+
+    if (val != gold) {
+      if (++err_cnt < 10) {
+        using T1 = typename char_to_int<T>::type;
+        std::cout << "failed at index " << i << ": " << (T1)val
+                  << " != " << (T1)gold << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  free_mem<IsAcc>(A, q);
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(int argc, char **argv) {
+  size_t size = 32 * 7;
+
+  if (argc > 1) {
+    size = atoi(argv[1]);
+    size = size == 0 ? 128 : size;
+  }
+  if (size % 32 != 0) {
+    std::cerr << "*** ERROR: size (" << size << ") must be a multiple of 32\n";
+    return 2;
+  }
+  std::cout << "Using size=" << size << "\n";
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  const bool halfsSupported = dev.has(sycl::aspect::fp16);
+
+  bool passed = true;
+  passed &= test<char, 32, true>(q, size);
+  passed &= test<unsigned char, 16, true>(q, size);
+  passed &= test<short, 32, true>(q, size);
+  passed &= test<short, 16, true>(q, size);
+  passed &= test<unsigned short, 8, true>(q, size);
+  passed &= test<int, 32, true>(q, size);
+  passed &= test<unsigned int, 32, true>(q, size);
+  passed &= test<float, 32, true>(q, size);
+  if (halfsSupported)
+    passed &= test<half, 32, true>(q, size);
+
+  passed &= test<char, 32, false>(q, size);
+  passed &= test<unsigned char, 16, false>(q, size);
+  passed &= test<short, 32, false>(q, size);
+  passed &= test<short, 16, false>(q, size);
+  passed &= test<unsigned short, 8, false>(q, size);
+  passed &= test<int, 32, false>(q, size);
+  passed &= test<unsigned int, 32, false>(q, size);
+  passed &= test<float, 32, false>(q, size);
+  if (halfsSupported)
+    passed &= test<half, 32, false>(q, size);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_negation_operator.cpp b/sycl/test-e2e/ESIMD/api/simd_negation_operator.cpp
new file mode 100644
index 0000000000000..7e718d954bb2f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_negation_operator.cpp
@@ -0,0 +1,111 @@
+//==----- simd_negation_operator.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks negation (operator!) of a simd object.
+// The operation `!v` is equivalent to `v == 0`;
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <limits>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+constexpr unsigned VL = 8;
+
+template <class T>
+bool test(queue q, const std::array<T, VL> &input,
+          const std::array<unsigned short, VL> &gold) {
+  std::cout << "Testing "
+            << "T=" << typeid(T).name() << " ...\n";
+
+  auto A = input;
+  // mask elements are unsigned short
+  std::array<unsigned short, VL> outputMask = {0, 0, 0, 0, 0, 0, 0, 0};
+
+  try {
+    buffer<T, 1> bufA(A.data(), range<1>(VL));
+    buffer<unsigned short, 1> bufB(outputMask.data(), range<1>(VL));
+    range<1> glob_range{1};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufA.template get_access<access::mode::read>(cgh);
+      auto PB = bufB.template get_access<access::mode::write>(cgh);
+      cgh.parallel_for(glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        simd<T, VL> va;
+        va.copy_from(PA, 0);
+        auto mask = !va;
+        mask.copy_to(PB, 0);
+      });
+    });
+    q.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < VL; ++i) {
+    unsigned short val = outputMask[i];
+
+    if (val != gold[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ": " << val << " != " << gold[i]
+                  << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (VL - err_cnt) << "/" << VL << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  auto int32max = std::numeric_limits<int>::max();
+  auto int32min = std::numeric_limits<int>::min();
+  auto uint32max = std::numeric_limits<unsigned int>::max();
+  auto int16max = std::numeric_limits<short>::max();
+  auto int16min = std::numeric_limits<short>::min();
+  auto uint16max = std::numeric_limits<unsigned short>::max();
+
+  bool passed = true;
+  passed &= test(
+      q, std::array<int, VL>{0, 1, -4, int32max, 0, int32min, 0, 1}, // input
+      std::array<unsigned short, VL>{1, 0, 0, 0, 1, 0, 1, 0});       // gold
+  passed &=
+      test(q, std::array<unsigned int, VL>{0, 1, 4, 0, uint32max, 0, 0, 1},
+           std::array<unsigned short, VL>{1, 0, 0, 1, 0, 1, 1, 0});
+  passed &=
+      test(q, std::array<short, VL>{0, 1, -4, int16max, 0, int16min, 0, 1},
+           std::array<unsigned short, VL>{1, 0, 0, 0, 1, 0, 1, 0});
+  passed &=
+      test(q, std::array<unsigned short, VL>{0, 1, 4, 0, uint16max, 0, 0, 1},
+           std::array<unsigned short, VL>{1, 0, 0, 1, 0, 1, 1, 0});
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_subscript_operator.cpp b/sycl/test-e2e/ESIMD/api/simd_subscript_operator.cpp
new file mode 100644
index 0000000000000..191ce271c052f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_subscript_operator.cpp
@@ -0,0 +1,115 @@
+//==----- simd_subscript_operator.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that it's possible to write through the simd subscript
+// operator. E.g.:
+//   simd<int, 4> v = 1;
+//   v[1] = 0; // v[1] returns writable simd_view
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using tfloat32 = sycl::ext::intel::experimental::esimd::tfloat32;
+
+template <class T> bool test(queue &q) {
+  std::cout << "Testing " << esimd_test::type_name<T>() << "...\n";
+  constexpr unsigned VL = 16;
+
+  T A[VL];
+  T B[VL];
+  T gold[VL];
+
+  for (int i = 0; i < VL; ++i) {
+    A[i] = -i;
+    B[i] = i;
+    gold[i] = B[i];
+  }
+
+  // some random indices to overwrite elements in B with elements from A.
+  std::array<int, 5> indicesToCopy = {2, 5, 9, 10, 13};
+
+  try {
+    buffer<T, 1> bufA(A, range<1>(VL));
+    buffer<T, 1> bufB(B, range<1>(VL));
+    range<1> glob_range{1};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufA.template get_access<access::mode::read>(cgh);
+      auto PB = bufB.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<T>(glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        unsigned int offset = i * VL * sizeof(T);
+        simd<T, VL> va(PA, offset);
+        simd<T, VL> vb(PB, offset);
+        for (auto idx : indicesToCopy)
+          vb[idx] = va[idx];
+        vb.copy_to(PB, offset);
+      });
+    });
+    q.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (auto i : indicesToCopy)
+    gold[i] = A[i];
+
+  for (unsigned i = 0; i < VL; ++i) {
+    T val = B[i];
+
+    if (val != gold[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ": " << val << " != " << gold[i]
+                  << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (VL - err_cnt) << "/" << VL << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+
+  return err_cnt == 0;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<char>(q);
+  passed &= test<unsigned int>(q);
+  passed &= test<float>(q);
+  passed &= test<half>(q);
+  passed &= test<bfloat16>(q);
+#ifdef USE_TF32
+  passed &= test<tfloat32>(q);
+#endif
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_subscript_operator_pvc.cpp b/sycl/test-e2e/ESIMD/api/simd_subscript_operator_pvc.cpp
new file mode 100644
index 0000000000000..89af0074a96c4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_subscript_operator_pvc.cpp
@@ -0,0 +1,20 @@
+//==-------- simd_subscript_operator_pvc.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks that it's possible to write through the simd subscript
+// operator. E.g.:
+//   simd<int, 4> v = 1;
+//   v[1] = 0; // v[1] returns writable simd_view
+// PVC variant of the test - adds tfloat32.
+
+#define USE_TF32
+
+#include "simd_subscript_operator.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_copy_move_assign.cpp b/sycl/test-e2e/ESIMD/api/simd_view_copy_move_assign.cpp
new file mode 100644
index 0000000000000..aaba8e73b9e72
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_copy_move_assign.cpp
@@ -0,0 +1,172 @@
+//==----- simd_view_copy_move_assign.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks the behavior of simd_view constructors
+// and assignment operators.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+template <unsigned VL, class T, class F>
+bool test(queue q, std::string str, F funcUnderTest) {
+  std::cout << "Testing " << str << ", VL = " << VL << " ...\n";
+  T A[VL];
+  T B[VL];
+  constexpr unsigned HalfVL = VL > 1 ? (VL / 2) : 1;
+
+  // The expected result gets the first half of values from B,
+  int gold[VL];
+  for (int i = 0; i < VL; ++i) {
+    A[i] = -i - 1;
+    B[i] = i + 1;
+    gold[i] = ((VL > 1) && (i < HalfVL)) ? B[i] : A[i];
+  }
+
+  try {
+    buffer<T, 1> bufA(A, range<1>(VL));
+    buffer<T, 1> bufB(B, range<1>(VL));
+    range<1> glob_range{1};
+
+    q.submit([&](handler &cgh) {
+       auto PA = bufA.template get_access<access::mode::read_write>(cgh);
+       auto PB = bufB.template get_access<access::mode::read>(cgh);
+       cgh.parallel_for(glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+         using namespace sycl::ext::intel::esimd;
+         unsigned int offset = i * VL * sizeof(T);
+         simd<T, VL> va;
+         simd<T, VL> vb;
+         if constexpr (VL == 1) {
+           va[0] = scalar_load<T>(PA, 0);
+           vb[0] = scalar_load<T>(PB, 0);
+         } else {
+           va.copy_from(PA, offset);
+           vb.copy_from(PB, offset);
+         }
+
+         auto va_view = va.template select<HalfVL, 1>(0);
+         auto vb_view = vb.template select<HalfVL, 1>(0);
+         funcUnderTest(va_view, vb_view);
+
+         if constexpr (VL == 1) {
+           scalar_store(PB, 0, (T)va[0]);
+         } else {
+           va.copy_to(PA, offset);
+         }
+       });
+     }).wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < VL; ++i) {
+    if (A[i] != gold[i]) {
+      err_cnt++;
+      std::cout << "failed at index " << i << ": " << A[i] << " != " << gold[i]
+                << " (gold)\n";
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (VL - err_cnt) << "/" << VL << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+template <class T, class FuncT>
+bool tests(queue &Q, std::string Str, FuncT FuncUnderTest) {
+  bool Passed = true;
+  Passed &= test<8, T>(Q, Str, FuncUnderTest);
+  Passed &= test<1, T>(Q, Str, FuncUnderTest);
+  return Passed;
+}
+
+template <class T> bool testT(queue &q) {
+  std::cout << "--- Testing element type " << typeid(T).name() << " ...\n";
+  bool passed = true;
+  // copy constructor creates the same view of the underlying data.
+  passed &= tests<T>(q, "copy constructor",
+                     [](auto &va_view, auto &vb_view) SYCL_ESIMD_FUNCTION {
+                       auto va_view_copy(va_view);
+                       auto vb_view_copy(vb_view);
+                       va_view_copy = vb_view_copy;
+                     });
+  // move constructor transfers the same view of the underlying data.
+  passed &= tests<T>(q, "move constructor",
+                     [](auto &va_view, auto &vb_view) SYCL_ESIMD_FUNCTION {
+                       auto va_view_move(std::move(va_view));
+                       auto vb_view_move(std::move(vb_view));
+                       va_view_move = vb_view_move;
+                     });
+  // assignment operator copies the underlying data.
+  passed &= tests<T>(q, "assignment operator",
+                     [](auto &va_view, auto &vb_view)
+                         SYCL_ESIMD_FUNCTION { va_view = vb_view; });
+  // move assignment operator copies the underlying data.
+  passed &= tests<T>(q, "move assignment operator",
+                     [](auto &va_view, auto &vb_view)
+                         SYCL_ESIMD_FUNCTION { va_view = std::move(vb_view); });
+
+  // construct complete view of a vector.
+#if 0
+  // TODO: When/if template arguments deducing is implemented for simd
+  // constructor accepting simd_view are implemented, the following
+  // shorter and more elegant version of the code may be used.
+  passed &= tests<T>(q, "constructor from simd",
+                  [](auto &va_view, auto &vb_view) SYCL_ESIMD_FUNCTION {
+                    simd vb = vb_view;
+                    simd_view new_vb_view = vb; // ctor from simd
+                    va_view = new_vb_view;
+                  });
+#else
+  passed &= test<8, T>(q, "constructor from simd",
+                       [](auto &va_view, auto &vb_view) SYCL_ESIMD_FUNCTION {
+                         simd<int, 4> vb = vb_view;
+                         simd_view new_vb_view = vb; // ctor from simd
+                         va_view = new_vb_view;
+                       });
+  passed &= test<1, T>(q, "constructor from simd",
+                       [](auto &va_view, auto &vb_view) SYCL_ESIMD_FUNCTION {
+                         simd<int, 1> vb = vb_view;
+                         simd_view new_vb_view = vb; // ctor from simd
+                         va_view = new_vb_view;
+                       });
+#endif
+
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+  passed &= testT<char>(q);
+  passed &= testT<float>(q);
+  if (dev.has(sycl::aspect::fp16))
+    passed &= testT<half>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_negation_operator.cpp b/sycl/test-e2e/ESIMD/api/simd_view_negation_operator.cpp
new file mode 100644
index 0000000000000..6e9f26e217d5f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_negation_operator.cpp
@@ -0,0 +1,112 @@
+//==----- simd_view_negation_operator.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks negation (operator!) of a simd_view object.
+// The operation `!v` is equivalent to `v == 0`;
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <limits>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+constexpr unsigned VL = 8;
+
+template <class T>
+bool test(queue q, const std::array<T, VL> &input,
+          const std::array<unsigned short, VL> &gold) {
+  std::cout << "Testing "
+            << "T=" << typeid(T).name() << " ...\n";
+
+  auto A = input;
+  // mask elements are unsigned short
+  std::array<unsigned short, VL> outputMask = {0, 0, 0, 0, 0, 0, 0, 0};
+
+  try {
+    buffer<T, 1> bufA(A.data(), range<1>(VL));
+    buffer<unsigned short, 1> bufB(outputMask.data(), range<1>(VL));
+    range<1> glob_range{1};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufA.template get_access<access::mode::read>(cgh);
+      auto PB = bufB.template get_access<access::mode::write>(cgh);
+      cgh.parallel_for(glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        simd<T, VL> va;
+        va.copy_from(PA, 0);
+        auto vv = va.template select<VL, 1>(0);
+        auto mask = !vv;
+        mask.copy_to(PB, 0);
+      });
+    });
+    q.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < VL; ++i) {
+    unsigned short val = outputMask[i];
+
+    if (val != gold[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ": " << val << " != " << gold[i]
+                  << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (VL - err_cnt) << "/" << VL << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  auto int32max = std::numeric_limits<int>::max();
+  auto int32min = std::numeric_limits<int>::min();
+  auto uint32max = std::numeric_limits<unsigned int>::max();
+  auto int16max = std::numeric_limits<short>::max();
+  auto int16min = std::numeric_limits<short>::min();
+  auto uint16max = std::numeric_limits<unsigned short>::max();
+
+  bool passed = true;
+  passed &= test(
+      q, std::array<int, VL>{0, 1, -4, int32max, 0, int32min, 0, 1}, // input
+      std::array<unsigned short, VL>{1, 0, 0, 0, 1, 0, 1, 0});       // gold
+  passed &=
+      test(q, std::array<unsigned int, VL>{0, 1, 4, 0, uint32max, 0, 0, 1},
+           std::array<unsigned short, VL>{1, 0, 0, 1, 0, 1, 1, 0});
+  passed &=
+      test(q, std::array<short, VL>{0, 1, -4, int16max, 0, int16min, 0, 1},
+           std::array<unsigned short, VL>{1, 0, 0, 0, 1, 0, 1, 0});
+  passed &=
+      test(q, std::array<unsigned short, VL>{0, 1, 4, 0, uint16max, 0, 0, 1},
+           std::array<unsigned short, VL>{1, 0, 0, 1, 0, 1, 1, 0});
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_select_2d.hpp b/sycl/test-e2e/ESIMD/api/simd_view_select_2d.hpp
new file mode 100644
index 0000000000000..ab84c612e002d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_select_2d.hpp
@@ -0,0 +1,167 @@
+//==------- simd_view_select_2d.hpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// Smoke test for 2D region select API which can be used to represent 2D tiles.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+template <typename T> struct char_to_int {
+  using type = typename std::conditional<
+      sizeof(T) == 1,
+      typename std::conditional<std::is_signed<T>::value, int, unsigned>::type,
+      T>::type;
+};
+
+template <class T, int... I> class test_id;
+
+// This function:
+// - Creates 3 matrices - A[M x K], B[K x N] and C[M x N].
+// - Selects a subregion from each using 2D select:
+//   tile_a[Wm x Wn], tile_b[Wk x Wn] and tile_c[Wm x Wn].
+//   When selecting along each dimension - M, N and K -
+//   offsets off_m, off_n, off_k and strides Sm, Sn and Sk are used.
+// - multiplies tile_a x tile_b as matrices and writes result to tile_c.
+//
+template <
+    // element type:
+    class T,
+    // input/output matrix sizes:
+    int M, int N, int K,
+    // input/output matrix region sizes (widths) being multiplied:
+    // A[Wm x Wk] x B[Wk x Wn] = C[Wm x Wn]
+    int Wm, int Wn, int Wk,
+    // strides used to select the regions:
+    int Sm, int Sn, int Sk>
+bool test_impl(queue q, int off_m, int off_n, int off_k) {
+  assert((off_m + Wm * Sm <= M) && (off_n + Wn * Sn <= N) &&
+         (off_k + Wk * Sk <= K));
+
+  std::cout << "Testing T=" << typeid(T).name() << " [M,N,K]=[" << M << "," << N
+            << "," << K << "]"
+            << " [Wm,Wn,Wk]=[" << Wm << "," << Wn << "," << Wk << "]"
+            << " [Sm,Sn,Sk]=[" << Sm << "," << Sn << "," << Sk << "]"
+            << " [off_m,off_n,off_k]=[" << off_m << "," << off_n << "," << off_k
+            << "]"
+            << "\n";
+
+  T *mat_a = sycl::malloc_shared<T>(M * K, q);
+  T *mat_b = sycl::malloc_shared<T>(K * N, q);
+  T *mat_c = sycl::malloc_shared<T>(M * N, q);
+  T *gold = new T[M * N];
+
+  for (int a = 0; a < M * K; a++) {
+    // 1 1 1 ...
+    // 2 2 2 ...
+    // . . .
+    // M M M ...
+    mat_a[a] = (T)(a / K + 1);
+  }
+  for (int b = 0; b < K * N; b++) {
+    // 1 1 1 ...
+    // 2 2 2 ...
+    // . . .
+    // N N N ...
+    mat_b[b] = (T)(b / N + 1);
+  }
+  for (int c = 0; c < M * N; c++) {
+    mat_c[c] = (T)1;
+    gold[c] = (T)1;
+  }
+  // Create gold data
+  for (int m = 0; m < Wm; m++) {
+    for (int n = 0; n < Wn; n++) {
+      int ind_c = (off_m + m * Sm) * N + off_n + n * Sn;
+      T acc = gold[ind_c];
+
+      for (int k = 0; k < Wk; k++) {
+        int ind_a = (off_m + m * Sm) * K + off_k + k * Sk;
+        int ind_b = (off_k + k * Sk) * N + off_n + n * Sn;
+        acc += mat_a[ind_a] * mat_b[ind_b];
+      }
+      gold[ind_c] = acc;
+    }
+  }
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.single_task<test_id<T, M, N, K, Wm, Wn, Wk, Sm, Sn, Sk>>(
+          [=]() SYCL_ESIMD_KERNEL {
+            simd<T, M * K> a(mat_a);
+            simd<T, K * N> b(mat_b);
+            simd<T, M * N> c(mat_c);
+
+            auto tile_a = a.template bit_cast_view<T, M, K>()
+                              .template select<Wm, Sm, Wk, Sk>(off_m, off_k);
+            auto tile_b = b.template bit_cast_view<T, K, N>()
+                              .template select<Wk, Sk, Wn, Sn>(off_k, off_n);
+            auto tile_c = c.template bit_cast_view<T, M, N>()
+                              .template select<Wm, Sm, Wn, Sn>(off_m, off_n);
+
+            for (int m = 0; m < Wm; m++) {
+              for (int n = 0; n < Wn; n++) {
+                tile_c.template select<1, 1, 1, 1>(m, n) +=
+                    reduce<T>(tile_a.row(m) * tile_b.column(n), std::plus<>{});
+              }
+            }
+            c.copy_to(mat_c);
+          });
+    });
+    e.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "  SYCL exception caught: " << e.what() << '\n';
+    sycl::free(mat_a, q);
+    sycl::free(mat_b, q);
+    sycl::free(mat_c, q);
+    delete[] gold;
+    return false;
+  }
+  int err_cnt = 0;
+
+  for (int m = 0; m < M; m++) {
+    for (int n = 0; n < N; n++) {
+      T gold_val = gold[m * N + n];
+      T val = mat_c[m * N + n];
+      using ValT = typename char_to_int<T>::type;
+
+      if ((val != gold_val) && (++err_cnt < 20)) {
+        std::cout << " ERROR at [" << m << "," << n << "]: " << (ValT)val
+                  << " != " << (ValT)gold_val << "(gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    int NN = M * N;
+    std::cout << "  pass rate: " << ((float)(NN - err_cnt) / (float)NN) * 100.0f
+              << "% (" << (NN - err_cnt) << "/" << NN << ")\n";
+  }
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  sycl::free(mat_a, q);
+  sycl::free(mat_b, q);
+  sycl::free(mat_c, q);
+  delete[] gold;
+  return err_cnt > 0 ? false : true;
+}
+
+template <class T> bool test(queue q) {
+  bool passed = true;
+  passed &= test_impl<T, 8, 8, 8, /**/ 8, 8, 8, /**/ 1, 1, 1>(q, 0, 0, 0);
+  passed &= test_impl<T, 8, 16, 8, /**/ 3, 3, 2, /**/ 2, 3, 4>(q, 2, 1, 0);
+  passed &= test_impl<T, 8, 16, 4, /**/ 3, 5, 2, /**/ 2, 3, 1>(q, 2, 1, 0);
+  if constexpr (sizeof(T) > 1) // TODO w/a vISA builder bug
+    passed &= test_impl<T, 9, 17, 5, /**/ 3, 5, 2, /**/ 2, 3, 1>(q, 2, 1, 0);
+  return passed;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_select_2d_fp.cpp b/sycl/test-e2e/ESIMD/api/simd_view_select_2d_fp.cpp
new file mode 100644
index 0000000000000..2bac0601e06ef
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_select_2d_fp.cpp
@@ -0,0 +1,34 @@
+//==------- simd_view_select_2d_fp.cpp  - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Smoke test for 2D region select API which can be used to represent 2D tiles.
+// Tests FP types.
+
+#include "simd_view_select_2d.hpp"
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  if (dev.has(sycl::aspect::fp16))
+    passed &= test<half>(q);
+  passed &= test<float>(q);
+  if (dev.has(sycl::aspect::fp64))
+    passed &= test<double>(q);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_select_2d_int.cpp b/sycl/test-e2e/ESIMD/api/simd_view_select_2d_int.cpp
new file mode 100644
index 0000000000000..e180a95536bc2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_select_2d_int.cpp
@@ -0,0 +1,33 @@
+//==------- simd_view_select_2d_int.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -fsycl-device-code-split=per_kernel -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Smoke test for 2D region select API which can be used to represent 2D tiles.
+// Tests int types.
+
+#include "simd_view_select_2d.hpp"
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<char>(q);
+  passed &= test<unsigned short>(q);
+  passed &= test<int>(q);
+  passed &= test<uint64_t>(q);
+
+  std::cout << (passed ? "=== Test passed\n" : "=== Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_subscript_operator.cpp b/sycl/test-e2e/ESIMD/api/simd_view_subscript_operator.cpp
new file mode 100644
index 0000000000000..57e344ebb1326
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_subscript_operator.cpp
@@ -0,0 +1,116 @@
+//==----- simd_view_subscript_operator.cpp  - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that it's possible to write through the simd_view subscript
+// operator. E.g.:
+//   simd<int, 4> v = 1;
+//   auto v1 = v.select<2, 1>(0);
+//   v1[0] = 0; // v1[0] returns writable simd_view
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using tfloat32 = sycl::ext::intel::experimental::esimd::tfloat32;
+
+template <class T> class TestID;
+
+template <class T> bool test(queue &q) {
+  std::cout << "Testing T=" << esimd_test::type_name<T>() << "...\n";
+  constexpr unsigned VL = 16;
+
+  T A[VL];
+  T B[VL];
+  T gold[VL];
+
+  for (unsigned i = 0; i < VL; ++i) {
+    A[i] = -i;
+    B[i] = i;
+    gold[i] = B[i];
+  }
+
+  // some random indices to overwrite elements in B with elements from A.
+  std::array<int, 5> indicesToCopy = {2, 5, 9, 10, 13};
+
+  try {
+    buffer<T, 1> bufA(A, range<1>(VL));
+    buffer<T, 1> bufB(B, range<1>(VL));
+    range<1> glob_range{1};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufA.template get_access<access::mode::read>(cgh);
+      auto PB = bufB.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<TestID<T>>(glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        simd<T, VL> va;
+        va.copy_from(PA, 0);
+        simd<T, VL> vb;
+        vb.copy_from(PB, 0);
+        auto view_va = va.template select<VL, 1>(0);
+        auto view_vb = vb.template select<VL, 1>(0);
+        for (auto idx : indicesToCopy)
+          view_vb[idx] = view_va[idx];
+        vb.copy_to(PB, 0);
+      });
+    });
+    q.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (auto i : indicesToCopy)
+    gold[i] = A[i];
+
+  for (unsigned i = 0; i < VL; ++i) {
+    T val = B[i];
+
+    if (val != gold[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ": " << val << " != " << gold[i]
+                  << " (gold)\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (VL - err_cnt) << "/" << VL << ")\n";
+  }
+  return err_cnt > 0 ? false : true;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+  passed &= test<int>(q);
+  passed &= test<half>(q);
+  passed &= test<bfloat16>(q);
+#ifdef USE_TF32
+  passed &= test<tfloat32>(q);
+#endif
+  std::cout << (passed ? "Test Passed\n" : "Test FAILED\n");
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/simd_view_subscript_operator_pvc.cpp b/sycl/test-e2e/ESIMD/api/simd_view_subscript_operator_pvc.cpp
new file mode 100644
index 0000000000000..06e4c48d4b402
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/simd_view_subscript_operator_pvc.cpp
@@ -0,0 +1,21 @@
+//==--- simd_view_subscript_operator_pvc.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks that it's possible to write through the simd_view subscript
+// operator. E.g.:
+//   simd<int, 4> v = 1;
+//   auto v1 = v.select<2, 1>(0);
+//   v1[0] = 0; // v1[0] returns writable simd_view
+// PVC variant of the test - adds tfloat32.
+
+#define USE_TF32
+
+#include "simd_view_subscript_operator.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/slm_gather_scatter.cpp b/sycl/test-e2e/ESIMD/api/slm_gather_scatter.cpp
new file mode 100644
index 0000000000000..87fd0719293c9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/slm_gather_scatter.cpp
@@ -0,0 +1,149 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the slm_gather/slm_scatter ESIMD APIs.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T, unsigned VL, unsigned STRIDE> struct Kernel {
+  T *buf;
+  Kernel(T *buf) : buf(buf) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    using namespace sycl::ext::intel::esimd;
+
+    // In this test, we have a single workitem. No barriers required.
+    slm_init<VL * STRIDE *
+             sizeof(typename sycl::ext::intel::esimd::detail::dword_type<
+                    T>::type)>();
+
+    simd<T, VL> valsIn;
+    valsIn.copy_from(buf);
+
+    simd<uint32_t, VL> offsets(0, STRIDE * sizeof(T));
+    slm_scatter<T, VL>(offsets, valsIn);
+
+    simd_mask<VL> pred = 1;
+    pred[VL - 1] = 0; // mask out the last lane
+    simd<T, VL> valsOut = slm_gather<T, VL>(offsets, pred);
+
+    valsOut.copy_to(buf);
+  }
+};
+
+template <typename T, unsigned VL, unsigned STRIDE> bool test(queue q) {
+  using namespace sycl::ext::intel::esimd;
+  constexpr size_t size = VL;
+  constexpr int MASKED_LANE = VL - 1;
+
+  std::cout << "Testing T=" << typeid(T).name() << " VL=" << VL
+            << " STRIDE=" << STRIDE << "...\n";
+
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  T *A = static_cast<T *>(malloc_shared(size * sizeof(T), dev, ctxt));
+  T *gold = new T[size];
+
+  for (int i = 0; i < size; ++i) {
+    A[i] = (T)i + 1;
+    gold[i] = (T)i + 1;
+  }
+
+  try {
+    range<1> glob_range{1};
+
+    auto e = q.submit([&](handler &cgh) {
+      Kernel<T, VL, STRIDE> kernel(A);
+      cgh.parallel_for(glob_range, kernel);
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cerr << "SYCL exception caught: " << e.what() << '\n';
+    free(A, ctxt);
+    delete[] gold;
+    return static_cast<bool>(e.code());
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < size; ++i) {
+    if (i == MASKED_LANE) {
+      if (sizeof(T) >= 2) {
+        // Value in this lane should be overwritten by whatever value was
+        // returned by the masked gather in this lane. If, when verifying, we
+        // see the original value stored in memory at this index this 99.999%
+        // likely means the read hasn't been masked. There is non-zero chance
+        // masked read will spontaneously return the same value we wrote here
+        // and we'll get false negative. But this is the best we can do to test
+        // masked reads. Disable this for 1-byte elements, where probability of
+        // false negative increases.
+        if (A[i] == gold[i]) {
+          if (++err_cnt < VL) {
+            std::cout << "masking failed at index " << i << "\n";
+          }
+        }
+      }
+    } else if (A[i] != gold[i]) {
+      if (++err_cnt < VL) {
+        std::cout << "failed at index " << i << ": " << A[i]
+                  << " != " << gold[i] << " (gold)\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  free(A, ctxt);
+  delete[] gold;
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+template <typename T, unsigned VL> bool test(queue q) {
+  bool passed = true;
+  passed &= test<T, VL, 1>(q);
+  passed &= test<T, VL, 2>(q);
+  passed &= test<T, VL, 3>(q);
+  passed &= test<T, VL, 4>(q);
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<char, 16>(q);
+  passed &= test<char, 32>(q);
+  passed &= test<short, 16>(q);
+  passed &= test<short, 32>(q);
+
+  passed &= test<int, 16>(q);
+  passed &= test<int, 32>(q);
+  passed &= test<float, 16>(q);
+  passed &= test<float, 32>(q);
+
+  if (dev.has(aspect::fp16)) {
+    passed &= test<half, 16>(q);
+    passed &= test<half, 32>(q);
+  }
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/slm_gather_scatter_heavy.cpp b/sycl/test-e2e/ESIMD/api/slm_gather_scatter_heavy.cpp
new file mode 100644
index 0000000000000..6985a473019d2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/slm_gather_scatter_heavy.cpp
@@ -0,0 +1,474 @@
+//==------- slm_gather_scatter_heavy.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the slm gather/scatter ESIMD intrinsics.
+// It varies element type, vector length and stride of gather/scatter operation.
+// For simplicity of calculations, workgroup size (number of work items same
+// as number of subgroups/threads for ESIMD) is always equal to the stride.
+//
+// To avoid the effect of "even number of bugs" leading to test pass even in
+// case of bugs, gather and scatter test cases are separated.
+// Also, on Gen checking that predicate works for 'gather' is not possible
+// reliably. In
+//   x = slm_gather<int, 16>(offsets, pred);
+// lanes masked out by pred will still be overwritten by some undefined values
+// returned in these lanes by 'slm_gather'.
+//
+
+#include "../esimd_test_utils.hpp"
+
+#include <iomanip>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <class T>
+using Acc = accessor<T, 1, access_mode::read_write, access::target::device>;
+
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+constexpr int DEFAULT_VAL = -1;
+
+// Test case IDs - whether to use scalar or vector memory access, how to
+// construct a mask (aka predicate) within the test case.
+enum TestCase : unsigned char {
+  TEST_SCALAR,            // masking does not make sense
+  TEST_VECTOR_NO_MASK,    // memory accesses are unmasked
+  TEST_VECTOR_CONST_MASK, // mask is a compile-time constant
+  TEST_VECTOR_VAR_MASK    // mask is a variable
+};
+
+template <TestCase TC> static constexpr bool is_masked_tc() {
+  return TC == TEST_VECTOR_CONST_MASK || TC == TEST_VECTOR_VAR_MASK;
+}
+
+template <TestCase TC> static const char *tc_to_string() {
+  if constexpr (TC == TEST_SCALAR)
+    return "TEST_SCALAR";
+  if constexpr (TC == TEST_VECTOR_NO_MASK)
+    return "TEST_VECTOR_NO_MASK";
+  if constexpr (TC == TEST_VECTOR_CONST_MASK)
+    return "TEST_VECTOR_CONST_MASK";
+  if constexpr (TC == TEST_VECTOR_VAR_MASK)
+    return "TEST_VECTOR_VAR_MASK";
+  return "<UNKNOWN>";
+}
+
+constexpr int MASKED_LANE = 4;
+static int MaskedLane = MASKED_LANE;
+
+template <class T, unsigned VL, unsigned STRIDE> struct KernelBase {
+  Acc<T> acc_in;
+  Acc<T> acc_out;
+  int masked_lane;
+  KernelBase(Acc<T> acc_in, Acc<T> acc_out, int masked_lane)
+      : acc_in(acc_in), acc_out(acc_out), masked_lane(masked_lane) {}
+
+  static inline constexpr auto WG_SIZE = STRIDE;
+  static inline constexpr auto WI_CHUNK_SIZE = VL;
+  static inline constexpr auto WG_CHUNK_SIZE = WI_CHUNK_SIZE * WG_SIZE;
+  static inline constexpr auto SLM_CHUNK_SIZE =
+      WG_CHUNK_SIZE * sizeof(T); // in bytes
+
+  unsigned inline get_wi_local_offset(nd_item<1> i) const {
+    unsigned wi_local_id = static_cast<unsigned>(i.get_local_id(0));
+    unsigned wi_local_offset = wi_local_id * WI_CHUNK_SIZE;
+    return wi_local_offset;
+  }
+
+  unsigned inline get_wi_offset(nd_item<1> i) const {
+    unsigned group_id = static_cast<unsigned>(i.get_group().get_group_id(0));
+    unsigned wg_offset = group_id * WG_CHUNK_SIZE;
+    unsigned wi_offset = wg_offset + get_wi_local_offset(i);
+    return wi_offset;
+  }
+};
+
+// Examples below in the gather and scatter kernel code are for the case
+// VL = 4, WG size = access stride = 3, WG_CUHNK_SIZE = 4 * 3 = 12
+// Each WG reads a continuous chunk of memory at offset wg_id * WG_CUNK_SIZE,
+// re-shuffles elements within the chunk using SLM scatter or gather and then
+// stores reshuffled data back to memory at the same offset.
+
+template <class T, unsigned VL, unsigned STRIDE, TestCase TC>
+struct GatherKernel : KernelBase<T, VL, STRIDE> {
+  using B = KernelBase<T, VL, STRIDE>;
+  using B::B;
+
+  static const char *get_name() { return "slm_gather"; }
+
+  void operator()(nd_item<1> i) const SYCL_ESIMD_KERNEL {
+    slm_init<B::SLM_CHUNK_SIZE>();
+
+    // first, read data w/o shuffling into SLM
+    simd<T, VL> val;
+    val.copy_from(B::acc_in, B::get_wi_offset(i) * sizeof(T),
+                  element_aligned_tag{});
+    slm_block_store((unsigned)(B::get_wi_local_offset(i) * sizeof(T)), val);
+
+    // wait for peers
+    esimd::barrier();
+
+    // now gather from SLM with stride and write shuffled vectors back to memory
+    unsigned wi_local_id = static_cast<unsigned>(i.get_local_id(0));
+
+    if constexpr (TC == TEST_SCALAR) {
+      for (auto j = 0; j < VL; ++j) {
+        val[j] = slm_scalar_load<T>((wi_local_id + j * STRIDE) * sizeof(T));
+      }
+    } else {
+      simd<uint32_t, VL> offsets(wi_local_id * sizeof(T), STRIDE * sizeof(T));
+
+      if constexpr (TC == TEST_VECTOR_NO_MASK) {
+        val = slm_gather<T, VL>(offsets);
+      } else if constexpr (TC == TEST_VECTOR_CONST_MASK) {
+        simd_mask<VL> pred(1);
+        pred[MASKED_LANE] = 0;
+        val = slm_gather<T, VL>(offsets, pred);
+      } else if constexpr (TC == TEST_VECTOR_VAR_MASK) {
+        simd_mask<VL> pred(1);
+        pred[B::masked_lane] = 0;
+        val = slm_gather<T, VL>(offsets, pred);
+      }
+    }
+
+    // clang-format off
+    // Source memory:
+    //         00 01 02 03 04 05 06 07 08 09 10 11 | 12 13 14 15 16 17 18 19 20 21 22 23 | ...
+    // val (group id/local id):
+    // (0/0)    *        *        *        *
+    // (0/1)       *        *        *        *
+    // (0/2)          *        *        *        *
+    // (1/0)                                          *        *        *        *
+    // (1/1)                                             *        *        *        *
+    // (1/2)                                                *        *        *        *
+    // Destination memory:
+    //         00 03 06 09 01 04 07 10 02 05 08 11 | 12 15 18 21 13 16 19 22 14 17 20 23 | ...
+    //                    |           |            |            |           |            |
+    //         00 00 00 00 01 01 01 01 02 02 02 02   10 10 10 10 11 11 11 11 12 12 12 12 ...
+    // The line above shows which WG/WI writes which portion of the destination
+    // clang-format on
+
+    // no need to wait after read
+    val.copy_to(B::acc_out, B::get_wi_offset(i) * sizeof(T));
+  }
+};
+
+template <class T, unsigned VL, unsigned STRIDE, TestCase TC>
+struct ScatterKernel : KernelBase<T, VL, STRIDE> {
+  using B = KernelBase<T, VL, STRIDE>;
+  using B::B;
+  static const char *get_name() { return "slm_scatter"; }
+
+  ESIMD_INLINE void operator()(nd_item<1> i) const SYCL_ESIMD_KERNEL {
+    slm_init<B::SLM_CHUNK_SIZE>();
+
+    // first, read data from memory into registers w/o shuffling
+    simd<T, VL> val;
+    val.copy_from(B::acc_in, B::get_wi_offset(i) * sizeof(T));
+
+    // now write to SLM shuffling on the fly
+    unsigned wi_local_id = static_cast<unsigned>(i.get_local_id(0));
+
+    if constexpr (TC == TEST_SCALAR) {
+      for (auto j = 0; j < VL; ++j) {
+        slm_scalar_store((wi_local_id + j * STRIDE) * sizeof(T), (T)val[j]);
+      }
+    } else {
+      simd<uint32_t, VL> offsets(wi_local_id * sizeof(T), STRIDE * sizeof(T));
+      simd_mask<VL> pred = 1;
+
+      if constexpr (TC == TEST_VECTOR_CONST_MASK) {
+        pred[MASKED_LANE] = 0;
+      } else if constexpr (TC == TEST_VECTOR_VAR_MASK) {
+        pred[B::masked_lane] = 0;
+      }
+      if constexpr (is_masked_tc<TC>()) {
+        // first, write something meaningful (which can be further verified)
+        // into the elements which will be masked out in the later (main)
+        // scatter
+        simd<T, VL> val1 = (T)DEFAULT_VAL;
+        slm_scatter(offsets, val1, !pred);
+      }
+      slm_scatter(offsets, val, pred);
+    }
+
+    // clang-format off
+    // Source memory:
+    //         00 01 02 03 04 05 06 07 08 09 10 11 | 12 13 14 15 16 17 18 19 20 21 22 23 | ...
+    // val (group id/local_id):
+    // (0/0)    *  *  *  *
+    // (0/1)                *  *  *  *
+    // (0/2)                            *  *  *  *
+    // (1/0)                                          *  *  *  *
+    // (1/1)                                                      *  *  *  *
+    // (1/2)                                                                  *  *  *  *
+    // Destination memory:
+    //         00 04 08 01 05 09 02 06 10 03 07 11 | 12 16 20 13 17 21 14 18 22 15 19 23 | ...
+    // WG/WI   00 01 02 00 01 02 00 01 02 00 01 02   10 11 12 10 11 12 10 11 12 10 11 12
+    // The line above shows which WG/WI writes which portion of the destination
+    // clang-format on
+
+    // wait for peers
+    esimd::barrier();
+
+    // now copy shuffled data from SLM back to memory
+    val = slm_block_load<T, VL>(
+        (unsigned)(B::get_wi_local_offset(i) * sizeof(T)));
+    val.copy_to(B::acc_out, B::get_wi_offset(i) * sizeof(T));
+  }
+};
+
+// Partial specialization of the gather kernel to test vector length = 1.
+template <class T, unsigned STRIDE>
+struct GatherKernel<T, 1, STRIDE, TEST_VECTOR_NO_MASK>
+    : KernelBase<T, 1, STRIDE> {
+  using B = KernelBase<T, 1, STRIDE>;
+  using B::B;
+
+  static const char *get_name() { return "slm_gather_vl1"; }
+
+  void operator()(nd_item<1> i) const SYCL_ESIMD_KERNEL {
+    slm_init<B::SLM_CHUNK_SIZE>();
+
+    // first, read data into SLM
+    T val = scalar_load<T>(B::acc_in, B::get_wi_offset(i) * sizeof(T));
+    slm_scalar_store((unsigned)(B::get_wi_local_offset(i) * sizeof(T)), val);
+
+    // wait for peers
+    esimd::barrier();
+
+    // now load from SLM and write back to memory
+    unsigned wi_local_id = static_cast<unsigned>(i.get_local_id(0));
+    simd<uint32_t, 1> offsets(wi_local_id * sizeof(T));
+    simd<T, 1> vec1 = slm_gather<T, 1>(offsets); /*** THE TESTED API ***/
+    scalar_store(B::acc_out, B::get_wi_offset(i) * sizeof(T), (T)vec1[0]);
+  }
+};
+
+// Partial specialization of the scatter kernel to test vector length = 1.
+template <class T, unsigned STRIDE>
+struct ScatterKernel<T, 1, STRIDE, TEST_VECTOR_NO_MASK>
+    : KernelBase<T, 1, STRIDE> {
+  using B = KernelBase<T, 1, STRIDE>;
+  using B::B;
+  static const char *get_name() { return "slm_scatter_vl1"; }
+
+  ESIMD_INLINE void operator()(nd_item<1> i) const SYCL_ESIMD_KERNEL {
+    slm_init<B::SLM_CHUNK_SIZE>();
+
+    // first, read data from memory into registers
+    simd<T, 1> val;
+    val[0] = scalar_load<T>(B::acc_in, B::get_wi_offset(i) * sizeof(T));
+
+    // now write to SLM
+    unsigned wi_local_id = static_cast<unsigned>(i.get_local_id(0));
+    simd<uint32_t, 1> offsets(wi_local_id * sizeof(T));
+    slm_scatter(offsets, val); /*** THE TESTED API ***/
+
+    // wait for peers
+    esimd::barrier();
+
+    // now copy data from SLM back to memory
+    T v = slm_scalar_load<T>(B::get_wi_local_offset(i) * sizeof(T));
+    scalar_store(B::acc_out, B::get_wi_offset(i) * sizeof(T), v);
+  }
+};
+
+enum MemIODir { MEM_SCATTER, MEM_GATHER };
+
+template <
+    class T,
+    class T1 = std::conditional_t<
+        std::is_same_v<T, char>, int,
+        std::conditional_t<std::is_same_v<T, unsigned char>, unsigned int, T>>>
+T1 conv(T val) {
+  return (T1)val;
+}
+
+// Verification algorithm depends on whether gather or scatter result is tested.
+// With gather, consequitive source array elements get into resulting array with
+// with VL stride. With scatter, they go with WG_SIZE stride.
+template <class T, unsigned VL, unsigned STRIDE, MemIODir Dir, TestCase TC>
+static bool verify(T *A, size_t size) {
+  int err_cnt = 0;
+  constexpr unsigned WG_SIZE = STRIDE;
+  constexpr unsigned WG_CHUNK_SIZE = VL * STRIDE;
+  assert(size % WG_CHUNK_SIZE == 0);
+  T gold = (T)0;
+  constexpr bool MASKED = is_masked_tc<TC>();
+  constexpr bool is_gather = Dir == MEM_GATHER;
+
+  // iterate over work group chunks
+  for (unsigned wg_id = 0, wg_offset = 0; wg_offset < size;
+       wg_id++, wg_offset += WG_CHUNK_SIZE) {
+    // iterate over lanes within the work item - should contain consecutive
+    // numbers
+    constexpr unsigned UB1 = is_gather ? VL : WG_SIZE;
+
+    for (unsigned x = 0; x < UB1; x++) {
+      // iterate over work items (ESIMD threads) within each work group
+      constexpr unsigned UB2 = is_gather ? WG_SIZE : VL;
+
+      for (unsigned y = 0; y < UB2; y++) {
+        bool is_lane_masked =
+            MASKED ? (is_gather ? x == MASKED_LANE : y == MASKED_LANE) : false;
+        unsigned off = wg_offset + y * UB1 + x;
+        T real_gold = is_lane_masked ? (T)DEFAULT_VAL : gold;
+        T val = A[off];
+
+        // If lane was masked during gather operation, it may contain any value,
+        // so skip verification.
+        if (!(is_gather && is_lane_masked) && (val != real_gold)) {
+          if (++err_cnt < 41) {
+            std::cout << "  error at " << off << " (wg_id=" << wg_id
+                      << ", x=" << x << ", y=" << y << "): " << conv(val)
+                      << " != " << conv(real_gold) << " (gold)\n";
+          }
+        }
+        // traversal is done so that each iteration (size/VL total) of this
+        // inner loop peeks into a consecutive datum value:
+        gold++;
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+  return err_cnt == 0;
+}
+
+template <class T, unsigned VL, unsigned STRIDE, MemIODir Dir, TestCase TC>
+bool test_impl(queue q) {
+  size_t size = VL == 1 ? 8 * STRIDE : VL * STRIDE;
+
+  using KernelType =
+      std::conditional_t<Dir == MEM_GATHER, GatherKernel<T, VL, STRIDE, TC>,
+                         ScatterKernel<T, VL, STRIDE, TC>>;
+  const char *title = KernelType::get_name();
+
+  std::cout << title << " test, T=" << typeid(T).name() << " VL=" << VL
+            << " STRIDE=" << STRIDE << ", TC=" << tc_to_string<TC>();
+  if (is_masked_tc<TC>()) {
+    std::cout << ", masked_lane=" << MaskedLane;
+  }
+  std::cout << "...\n";
+  T *A = new T[size];
+  T *B = new T[size];
+
+  for (unsigned i = 0; i < size; ++i) {
+    A[i] = (T)i;
+    B[i] = (T)DEFAULT_VAL;
+  }
+
+  try {
+    buffer<T, 1> buf_in(A, range<1>(size));
+    buffer<T, 1> buf_out(B, range<1>(size));
+    range<1> glob_range{size / VL};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc_in = buf_in.template get_access<access::mode::read_write>(cgh);
+      auto acc_out = buf_out.template get_access<access::mode::read_write>(cgh);
+      constexpr auto WG_SIZE = STRIDE; // for simplicity of the test
+      KernelType kernel(acc_in, acc_out, MaskedLane);
+      cgh.parallel_for(nd_range<1>{glob_range, range<1>(WG_SIZE)}, kernel);
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] A;
+    delete[] B;
+    return false;
+  }
+#ifdef DUMP_DATA
+  std::cout << "Input data:\n";
+  for (unsigned i = 0; i < size; ++i) {
+    std::cout << std::setw(4) << (int)A[i] << " ";
+    if ((i + 1) % 40 == 0)
+      std::cout << "\n";
+  }
+  std::cout << "\n";
+  std::cout << "Output data:\n";
+  for (unsigned i = 0; i < size; ++i) {
+    std::cout << std::setw(4) << (int)B[i] << " ";
+    if ((i + 1) % 40 == 0)
+      std::cout << "\n";
+  }
+  std::cout << "\n";
+#endif // DUMP_DATA
+
+  bool passed = verify<T, VL, STRIDE, Dir, TC>(B, size);
+  delete[] A;
+  delete[] B;
+
+  std::cout << (!passed ? "  FAILED\n" : "  Passed\n");
+  return passed;
+}
+
+template <class T, unsigned VL, unsigned STRIDE> bool test(queue q) {
+  bool passed = true;
+  std::cout << "\n";
+  passed &= test_impl<T, VL, STRIDE, MEM_GATHER, TEST_SCALAR>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_GATHER, TEST_VECTOR_NO_MASK>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_GATHER, TEST_VECTOR_CONST_MASK>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_GATHER, TEST_VECTOR_VAR_MASK>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_SCATTER, TEST_SCALAR>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_SCATTER, TEST_VECTOR_NO_MASK>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_SCATTER, TEST_VECTOR_CONST_MASK>(q);
+  passed &= test_impl<T, VL, STRIDE, MEM_SCATTER, TEST_VECTOR_VAR_MASK>(q);
+  return passed;
+}
+
+template <class T, unsigned STRIDE> bool test_vl1(queue q) {
+  bool passed = true;
+  std::cout << "\n";
+  passed &= test_impl<T, 1, STRIDE, MEM_GATHER, TEST_VECTOR_NO_MASK>(q);
+  passed &= test_impl<T, 1, STRIDE, MEM_SCATTER, TEST_VECTOR_NO_MASK>(q);
+  return passed;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test_vl1<char, 3>(q);
+  passed &= test<char, 16, 3>(q);
+  passed &= test<char, 32, 3>(q);
+  passed &= test<short, 8, 8>(q);
+  passed &= test<short, 16, 1>(q);
+  passed &= test<short, 32, 1>(q);
+  passed &= test<int, 8, 2>(q);
+  passed &= test<int, 8, 3>(q);
+  passed &= test<int, 16, 2>(q);
+  passed &= test<int, 16, 1>(q);
+  passed &= test<int, 32, 1>(q);
+  passed &= test<float, 8, 2>(q);
+  passed &= test<float, 16, 5>(q);
+  passed &= test<float, 32, 3>(q);
+  passed &= test_vl1<float, 7>(q);
+  if (dev.has(aspect::fp16)) {
+    passed &= test_vl1<half, 7>(q);
+    passed &= test<half, 16, 2>(q);
+  }
+
+  std::cout << (!passed ? "TEST FAILED\n" : "TEST Passed\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/slm_gather_scatter_rgba.cpp b/sycl/test-e2e/ESIMD/api/slm_gather_scatter_rgba.cpp
new file mode 100644
index 0000000000000..806813110bfed
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/slm_gather_scatter_rgba.cpp
@@ -0,0 +1,196 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the slm_gather_rgba/slm_scatter_rgba ESIMD
+// API.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr int MASKED_LANE_NUM_REV = 1;
+constexpr int NUM_RGBA_CHANNELS =
+    get_num_channels_enabled(sycl::ext::intel::esimd::rgba_channel_mask::ABGR);
+
+template <class T> inline constexpr T marker = (T)0xcafebabe;
+
+template <typename T, unsigned VL, auto CH_MASK> struct Kernel {
+  T *bufOut;
+  Kernel(T *bufOut) : bufOut(bufOut) {}
+
+  void operator()(sycl::nd_item<1> ndi) const SYCL_ESIMD_KERNEL {
+    using namespace sycl::ext::intel::esimd;
+    constexpr int numChannels = get_num_channels_enabled(CH_MASK);
+    uint32_t i = ndi.get_global_id(0);
+
+    // In this test, each group consist of one workitem. No barriers required.
+    // Each workitem accesses contiguous block of VL elements, where
+    // each element consists of RGBA channels.
+    slm_init<VL * NUM_RGBA_CHANNELS * sizeof(T)>();
+
+    // Prepare initial values in SLM:
+    // 0, -1, -2, -3, -4 ...
+    // slm_scatter only supports VL = 16 or 32, so conservatively write in
+    // chunks of 16 elements.
+    constexpr unsigned numStores = (VL * NUM_RGBA_CHANNELS) / 16;
+    for (int i = 0; i < numStores; i++) {
+      simd<T, 16> vals(-i * 16, -1);
+      simd<uint32_t, 16> fourByteOffsets(i * 16 * sizeof(T), sizeof(T));
+      slm_scatter<T, 16>(fourByteOffsets, vals);
+    }
+
+    // Prepare values to store into SLM in a SOA manner, e.g.:
+    // R  R  R  R  R ...G  G  G  G  G ...B  B  B  B  B ...A  A  A  A  A ...
+    // 00,04,08,12,16...01,05,09,13,17...02,06,10,14,18...03,07,11,15,19...
+    simd<T, VL * numChannels> valsIn;
+    for (unsigned i = 0; i < numChannels; i++)
+      for (unsigned j = 0; j < VL; j++)
+        valsIn[i * VL + j] = j * numChannels + i;
+
+    // Store values to SLM. In the SLM it will be transposed into AOS:
+    // R  G  B  A  R  G  B  A ...
+    // 0, 1, 2, 3, 4, 5, 6, 7 ...
+    simd<uint32_t, VL> byteOffsets(0, sizeof(T) * NUM_RGBA_CHANNELS);
+    slm_scatter_rgba<T, VL, CH_MASK>(byteOffsets, valsIn);
+
+    // Load back values from SLM. They will be transposed back to SOA.
+    // "_" = "undefined" (masked out lane/pixel in each channel)
+    // 00,04,08,12,...,_,01,05,09,13,...,_,02,06,10,14,...,_,03,07,11,19,...,_
+    simd_mask<VL> pred = 1;
+    pred[VL - MASKED_LANE_NUM_REV] = 0; // mask out the last lane
+    simd<T, VL *numChannels> valsOut =
+        slm_gather_rgba<T, VL, CH_MASK>(byteOffsets, pred);
+    // replace undefined values in the masked out lane with something verifiable
+    valsOut.template select<NUM_RGBA_CHANNELS, VL>(VL - MASKED_LANE_NUM_REV) =
+        marker<T>;
+
+    // Copy results to the output USM buffer. Maximum write block size must be
+    // at most 8 owords, so conservatively write in chunks of 8 elements.
+    uint32_t global_offset = i * VL * NUM_RGBA_CHANNELS;
+    for (unsigned i = 0; i < (VL * numChannels) / 8; i++) {
+      simd<T, 8> valsToWrite = valsOut.template select<8, 1>(i * 8);
+      valsToWrite.copy_to(bufOut + global_offset + i * 8);
+    }
+  }
+};
+
+std::string convertMaskToStr(sycl::ext::intel::esimd::rgba_channel_mask mask) {
+  using namespace sycl::ext::intel::esimd;
+  switch (mask) {
+  case rgba_channel_mask::R:
+    return "R";
+  case rgba_channel_mask::GR:
+    return "GR";
+  case rgba_channel_mask::ABGR:
+    return "ABGR";
+  default:
+    return "";
+  }
+  return "";
+}
+
+template <typename T, unsigned VL, auto CH_MASK> bool test(queue q) {
+  using namespace sycl::ext::intel::esimd;
+  constexpr int numChannels = get_num_channels_enabled(CH_MASK);
+  constexpr size_t size = VL * numChannels;
+
+  std::cout << "Testing T=" << typeid(T).name() << " VL=" << VL
+            << " MASK=" << convertMaskToStr(CH_MASK) << "...\n";
+
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  T *A = static_cast<T *>(malloc_shared(size * sizeof(T), dev, ctxt));
+  T *gold = new T[size];
+
+  for (int i = 0; i < size; ++i) {
+    A[i] = (T)-i;
+  }
+
+  // Fill out the array with gold values.
+  // R  R  R  R   ... G  G  G  G   ... B  B  B   B   ... A  A  A   A  ...
+  // 0, 4, 8, 12, ... 1, 5, 9, 13, ... 2, 6, 10, 14, ... 3, 7, 11, 15 ...
+  for (unsigned i = 0; i < numChannels; i++)
+    for (unsigned j = 0; j < VL; j++) {
+      // masked lane is assigned/verified separately:
+      if (j == VL - MASKED_LANE_NUM_REV) {
+        gold[i * VL + j] = marker<T>;
+      } else {
+        gold[i * VL + j] = j * numChannels + i;
+      }
+    }
+
+  try {
+    // We need that many workitems
+    sycl::range<1> GlobalRange{1};
+    // Number of workitems in a workgroup
+    sycl::range<1> LocalRange{1};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      Kernel<T, VL, CH_MASK> kernel(A);
+      cgh.parallel_for(Range, kernel);
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cerr << "SYCL exception caught: " << e.what() << '\n';
+    free(A, ctxt);
+    delete[] gold;
+    return static_cast<bool>(e.code());
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < size; i++) {
+    if (A[i] != gold[i]) {
+      if (++err_cnt < 35) {
+        std::cerr << "failed at index " << i << ": " << A[i]
+                  << " != " << gold[i] << " (gold)\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  free(A, ctxt);
+  delete[] gold;
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+template <typename T, unsigned VL> bool test(queue q) {
+  using namespace sycl::ext::intel::esimd;
+  bool passed = true;
+  passed &= test<T, VL, rgba_channel_mask::R>(q);
+  passed &= test<T, VL, rgba_channel_mask::GR>(q);
+  passed &= test<T, VL, rgba_channel_mask::ABGR>(q);
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+  passed &= test<int, 8>(q);
+  passed &= test<int, 16>(q);
+  passed &= test<int, 32>(q);
+  passed &= test<float, 8>(q);
+  passed &= test<float, 16>(q);
+  passed &= test<float, 32>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/svm_gather_scatter.cpp b/sycl/test-e2e/ESIMD/api/svm_gather_scatter.cpp
new file mode 100644
index 0000000000000..fa557625c5242
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/svm_gather_scatter.cpp
@@ -0,0 +1,159 @@
+//==---- svm_gather_scatter.cpp  - DPC++ ESIMD svm gather/scatter test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Regression test for SVM gather/scatter API.
+
+#include "../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <array>
+#include <iostream>
+#include <sycl/builtins_esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <sycl/ext/intel/esimd.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+using tfloat32 = sycl::ext::intel::experimental::esimd::tfloat32;
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+template <typename T, int N> bool test(queue &Q) {
+  std::cout << "  Running " << esimd_test::type_name<T>() << " test, N=" << N
+            << "...\n";
+
+  struct Deleter {
+    queue Q;
+    void operator()(T *Ptr) {
+      if (Ptr) {
+        sycl::free(Ptr, Q);
+      }
+    }
+  };
+
+  std::unique_ptr<T, Deleter> Ptr1(sycl::malloc_shared<T>(N, Q), Deleter{Q});
+  std::unique_ptr<T, Deleter> Ptr2(sycl::malloc_shared<T>(N, Q), Deleter{Q});
+
+  T *Src = Ptr1.get();
+  T *Dst = Ptr2.get();
+
+  for (int I = 0; I < N; ++I) {
+    Src[I] = I + 1;
+    Dst[I] = 0;
+  }
+
+  try {
+    Q.submit([&](handler &CGH) {
+       CGH.parallel_for(sycl::range<1>{1}, [=](id<1>) SYCL_ESIMD_KERNEL {
+#ifndef USE_SCALAR_OFFSET
+         simd<Toffset, N> Offsets(0u, sizeof(T));
+#else
+             Toffset Offsets = 0;
+#endif
+         scatter<T, N>(Dst, Offsets, gather<T, N>(Src, Offsets));
+       });
+     }).wait();
+  } catch (sycl::exception const &E) {
+    std::cout << "ERROR. SYCL exception caught: " << E.what() << std::endl;
+    return false;
+  }
+
+  unsigned NumErrs = 0;
+  for (int I = 0; I < N; ++I)
+#ifndef USE_SCALAR_OFFSET
+    if (Dst[I] != Src[I])
+#else
+    if ((Dst[I] != Src[I] && I == 0) || (I != 0 && Dst[I] != 0))
+#endif
+      if (++NumErrs <= 10)
+        std::cout << "failed at " << I << ": " << Dst[I]
+                  << " (Dst) != " << Src[I] << " (Src)\n";
+
+  std::cout << (NumErrs == 0 ? "    Passed\n" : "    FAILED\n");
+  return NumErrs == 0;
+}
+
+int main(void) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool Pass = true;
+
+  Pass &= test<int8_t, 1>(Q);
+#ifndef USE_SCALAR_OFFSET
+  Pass &= test<int8_t, 2>(Q);
+  Pass &= test<int8_t, 4>(Q);
+  Pass &= test<int8_t, 8>(Q);
+  Pass &= test<int8_t, 16>(Q);
+  Pass &= test<int8_t, 32>(Q);
+#endif
+
+  Pass &= test<int16_t, 1>(Q);
+#ifndef USE_SCALAR_OFFSET
+  Pass &= test<int16_t, 2>(Q);
+  Pass &= test<int16_t, 4>(Q);
+  Pass &= test<int16_t, 8>(Q);
+  Pass &= test<int16_t, 16>(Q);
+  Pass &= test<int16_t, 32>(Q);
+#endif
+
+  Pass &= test<int32_t, 1>(Q);
+#ifndef USE_SCALAR_OFFSET
+  Pass &= test<int32_t, 2>(Q);
+  Pass &= test<int32_t, 4>(Q);
+  Pass &= test<int32_t, 8>(Q);
+  Pass &= test<int32_t, 16>(Q);
+  Pass &= test<int32_t, 32>(Q);
+#endif
+  if (Dev.has(aspect::fp16)) {
+    Pass &= test<half, 1>(Q);
+#ifndef USE_SCALAR_OFFSET
+    Pass &= test<half, 2>(Q);
+    Pass &= test<half, 4>(Q);
+    Pass &= test<half, 8>(Q);
+    Pass &= test<half, 16>(Q);
+    Pass &= test<half, 32>(Q);
+#endif
+  }
+
+  Pass &= test<bfloat16, 1>(Q);
+#ifndef USE_SCALAR_OFFSET
+  Pass &= test<bfloat16, 2>(Q);
+  Pass &= test<bfloat16, 4>(Q);
+  Pass &= test<bfloat16, 8>(Q);
+  Pass &= test<bfloat16, 16>(Q);
+  Pass &= test<bfloat16, 32>(Q);
+#endif
+#ifdef USE_TF32
+  Pass &= test<tfloat32, 1>(Q);
+#ifndef USE_SCALAR_OFFSET
+  Pass &= test<tfloat32, 2>(Q);
+  Pass &= test<tfloat32, 4>(Q);
+  Pass &= test<tfloat32, 8>(Q);
+  Pass &= test<tfloat32, 16>(Q);
+  Pass &= test<tfloat32, 32>(Q);
+#endif
+#endif
+
+  std::cout << (Pass ? "Test Passed\n" : "Test FAILED\n");
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/svm_gather_scatter_64.cpp b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_64.cpp
new file mode 100644
index 0000000000000..fad2629e38752
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_64.cpp
@@ -0,0 +1,19 @@
+//==---------- svm_gather_scatter_64.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Regression test for gather/scatter API.
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "svm_gather_scatter.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/svm_gather_scatter_pvc.cpp b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_pvc.cpp
new file mode 100644
index 0000000000000..cf82d5dc969fd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_pvc.cpp
@@ -0,0 +1,17 @@
+//==---------- svm_gather_scatter_pvc.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Regression test for SVM gather/scatter API.
+// PVC variant of the test - adds tfloat32.
+
+#define USE_TF32
+
+#include "svm_gather_scatter.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/svm_gather_scatter_pvc_64.cpp b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_pvc_64.cpp
new file mode 100644
index 0000000000000..5ac162efcb112
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_pvc_64.cpp
@@ -0,0 +1,18 @@
+//==---------- svm_gather_scatter_pvc_64.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Regression test for SVM gather/scatter API.
+// PVC variant of the test - adds tfloat32 and uses 64 bit offsets.
+
+#define USE_TF32
+#define USE_64_BIT_OFFSET
+
+#include "svm_gather_scatter.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/svm_gather_scatter_scalar_off.cpp b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_scalar_off.cpp
new file mode 100644
index 0000000000000..e174d5a2ff5df
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/svm_gather_scatter_scalar_off.cpp
@@ -0,0 +1,19 @@
+//==------ svm_gather_scatter_scalar_off.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Regression test for gather/scatter API.
+// scalar offset variant of the test - uses scalar offset.
+
+#define USE_SCALAR_OFFSET
+
+#include "svm_gather_scatter.cpp"
diff --git a/sycl/test-e2e/ESIMD/api/unary_ops_heavy.cpp b/sycl/test-e2e/ESIMD/api/unary_ops_heavy.cpp
new file mode 100644
index 0000000000000..61e279fa82964
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/unary_ops_heavy.cpp
@@ -0,0 +1,218 @@
+//==--------------- unary_ops_heavy.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Exclude PVC not to run same test cases twice (via the *_pvc.cpp variant).
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests various unary operations applied to simd objects.
+
+// TODO
+// Arithmetic operations behaviour depends on Gen's control regiter's rounding
+// mode, which is RTNE by default:
+//    cr0.5:4 is 00b = Round to Nearest or Even (RTNE)
+// For half this leads to divergence between Gen and host (emulated) results
+// larger than certain threshold. Might need to tune the cr0 once this feature
+// is available in ESIMD.
+//
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+template <class T, int VL, class Ops> class TestID;
+
+// Helpers for printing
+template <class T> auto cast(T val) { return val; }
+template <> auto cast<char>(char val) { return (int)val; }
+template <> auto cast<unsigned char>(unsigned char val) {
+  return (unsigned int)val;
+}
+#ifdef __SYCL_DEVICE_ONLY__
+template <> auto cast<_Float16>(_Float16 val) { return (float)val; }
+#endif
+
+// Main test function.
+// T - operand type,
+// VL - vector length,
+// Ops - a compile-time sequence of operations to test.
+//
+template <class T, int VL, class Ops, template <class, int> class SimdT = simd>
+bool test(Ops ops, queue &q) {
+  using OpClass = esimd_test::UnaryOp;
+  // Log test case info
+  std::cout << "Testing T=" << esimd_test::type_name<T>() << ", VL=" << VL
+            << " ...\n";
+  std::cout << "Operations:";
+  esimd_test::iterate_ops(ops, [=](OpClass op) {
+    std::cout << " '" << esimd_test::Op2Str(op) << "'";
+  });
+  std::cout << "\n";
+
+  // initialize test data
+  constexpr int Size = 1024 * 7;
+  T *A = sycl::malloc_shared<T>(Size, q);
+  constexpr int NumOps = (int)Ops::size;
+  int CSize = NumOps * Size;
+  T *C = sycl::malloc_shared<T>(CSize, q);
+
+  for (int i = 0; i < Size; ++i) {
+    if constexpr (std::is_unsigned_v<T>) {
+      A[i] = i;
+    } else {
+      A[i] = i - Size / 2;
+    }
+    C[i] = 0;
+  }
+
+  // submit the kernel
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<TestID<T, VL, Ops>>(
+          Size / VL, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            unsigned off = i * VL;
+            SimdT<T, VL> va(A + off);
+            // applies each of the input operations to the va,
+            // then invokes the lambda below, passing the result of the
+            // operation, its ID and sequential number within the input sequence
+            esimd_test::apply_unary_ops(
+                ops, va, [=](SimdT<T, VL> res, OpClass op, unsigned op_num) {
+                  unsigned res_off = off * NumOps + op_num * VL;
+                  res.copy_to(C + res_off);
+                });
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    sycl::free(C, q);
+    return false;
+  }
+
+  int err_cnt = 0;
+
+  // now verify the results using provided verification function type
+  for (unsigned i = 0; i < Size / VL; ++i) {
+    unsigned off = i * VL;
+
+    for (int j = 0; j < VL; ++j) {
+      T a = A[off + j];
+
+      esimd_test::apply_unary_ops(
+          ops, a, [&](T Gold, OpClass op, unsigned op_num) {
+            unsigned res_off = off * NumOps + op_num * VL;
+            T Res = C[res_off + j];
+            using Tint = esimd_test::int_type_t<sizeof(T)>;
+            Tint ResBits = *(Tint *)&Res;
+            Tint GoldBits = *(Tint *)&Gold;
+            // allow 1 bit discrepancy for half on modifying op
+            int delta = ((int)op >= (int)OpClass::minus_minus_pref) &&
+                                ((int)op <= (int)OpClass::plus_plus_inf) &&
+                                std::is_same_v<T, half>
+                            ? 1
+                            : 0;
+
+            if ((Gold != Res) && (abs(ResBits - GoldBits) > delta)) {
+              if (++err_cnt < 10) {
+                std::cout << "  failed at index " << (res_off + j) << ", op "
+                          << esimd_test::Op2Str(op) << ": " << cast(Res)
+                          << "(0x" << std::hex << ResBits << ")"
+                          << " != " << cast(Gold) << "(0x" << std::hex
+                          << GoldBits << ") [" << esimd_test::Op2Str(op) << " "
+                          << std::dec << cast(a) << "]\n";
+              }
+            }
+          });
+    }
+  }
+  if (err_cnt > 0) {
+    auto Size1 = NumOps * Size;
+    std::cout << "  pass rate: "
+              << ((float)(Size1 - err_cnt) / (float)Size1) * 100.0f << "% ("
+              << (Size1 - err_cnt) << "/" << Size1 << ")\n";
+  }
+
+  free(A, q);
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt == 0;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  const bool doublesSupported = dev.has(sycl::aspect::fp64);
+  const bool halfsSupported = dev.has(sycl::aspect::fp16);
+  bool passed = true;
+  using UnOp = esimd_test::UnaryOp;
+
+  auto mod_ops =
+      esimd_test::OpSeq<UnOp, UnOp::minus_minus_pref, UnOp::minus_minus_inf,
+                        UnOp::plus_plus_pref, UnOp::plus_plus_inf>{};
+  passed &= test<char, 7>(mod_ops, q);
+  passed &= test<unsigned char, 1>(mod_ops, q);
+  passed &= test<short, 7>(mod_ops, q);
+  passed &= test<unsigned short, 7>(mod_ops, q);
+  passed &= test<int, 16>(mod_ops, q);
+  passed &= test<unsigned int, 8>(mod_ops, q);
+  passed &= test<int64_t, 16>(mod_ops, q);
+  passed &= test<uint64_t, 1>(mod_ops, q);
+  if (halfsSupported)
+    passed &= test<half, 1>(mod_ops, q);
+  if (halfsSupported)
+    passed &= test<half, 32>(mod_ops, q);
+  passed &= test<float, 32>(mod_ops, q);
+  if (doublesSupported)
+    passed &= test<double, 7>(mod_ops, q);
+
+  auto signed_ops = esimd_test::OpSeq<UnOp, UnOp::minus, UnOp::plus>{};
+  passed &= test<char, 7>(signed_ops, q);
+  passed &= test<short, 7>(signed_ops, q);
+  passed &= test<int, 16>(signed_ops, q);
+  passed &= test<int64_t, 16>(signed_ops, q);
+  if (halfsSupported)
+    passed &= test<half, 16>(signed_ops, q);
+  passed &= test<float, 16>(signed_ops, q);
+  if (doublesSupported)
+    passed &= test<double, 16>(signed_ops, q);
+
+#ifdef USE_BF16
+  // TODO: the rest unary operations are not yet supported for bfloat16 on host.
+  auto unary_plus_op = esimd_test::OpSeq<UnOp, UnOp::plus>{};
+  passed &= test<bfloat16, 16>(unary_plus_op, q);
+#endif // USE_BF16
+
+  auto bit_ops = esimd_test::OpSeq<UnOp, UnOp::bit_not>{};
+  passed &= test<char, 7>(bit_ops, q);
+  passed &= test<unsigned char, 1>(bit_ops, q);
+  passed &= test<short, 7>(bit_ops, q);
+  passed &= test<unsigned short, 7>(bit_ops, q);
+  passed &= test<int, 16>(bit_ops, q);
+  passed &= test<unsigned int, 8>(bit_ops, q);
+  passed &= test<int64_t, 16>(bit_ops, q);
+  passed &= test<uint64_t, 1>(bit_ops, q);
+
+  auto not_ops = esimd_test::OpSeq<UnOp, UnOp::log_not, UnOp::bit_not>{};
+  passed &= test<simd_mask<1>::element_type, 7, decltype(not_ops),
+                 __ESIMD_DNS::simd_mask_impl>(not_ops, q);
+
+  std::cout << (passed ? "Test passed\n" : "Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/api/unary_ops_heavy_pvc.cpp b/sycl/test-e2e/ESIMD/api/unary_ops_heavy_pvc.cpp
new file mode 100644
index 0000000000000..a3cecb054f62f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/api/unary_ops_heavy_pvc.cpp
@@ -0,0 +1,17 @@
+//==--------------- unary_ops_heavy_pvc.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests various unary operations applied to simd objects.
+// PVC variant of the test - adds bfloat16.
+
+#define USE_BF16
+
+#include "unary_ops_heavy.cpp"
diff --git a/sycl/test-e2e/ESIMD/bfn.cpp b/sycl/test-e2e/ESIMD/bfn.cpp
new file mode 100644
index 0000000000000..68eb72ad292d3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/bfn.cpp
@@ -0,0 +1,259 @@
+//==---------------- bfn.cpp - DPC++ ESIMD binary function test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM
+// Exceptions. See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: intel-gpu-dg2 || intel-gpu-pvc
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks binary function (bfn) operations. Combinations of
+// - argument type - uint16_t, uint32_t.
+// - binary function - several binary functins with three operands (~, &, |, ^).
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+
+// --- Initialization function for source operands of binary functions.
+
+template <class T> struct InitOps {
+  void operator()(T *In0, T *In1, T *In2, T *Out, size_t Size) const {
+    for (auto I = 0; I < Size; ++I) {
+      In0[I] = I * 3;
+      In1[I] = I * 3 + 1;
+      In2[I] = I * 3 + 2;
+      Out[I] = (T)0;
+    }
+  }
+};
+
+// --- Test boolean control functions.
+
+using bfn_t = experimental::esimd::bfn_t;
+
+constexpr experimental::esimd::bfn_t F1 = bfn_t::x | bfn_t::y | bfn_t::z;
+constexpr experimental::esimd::bfn_t F2 = bfn_t::x & bfn_t::y & bfn_t::z;
+constexpr experimental::esimd::bfn_t F3 = ~bfn_t::x | bfn_t::y ^ bfn_t::z;
+
+// --- Template functions calculating given boolean operation on host and device
+
+enum ArgKind {
+  AllVec,
+  AllSca,
+};
+
+template <class T, experimental::esimd::bfn_t Op> struct HostFunc;
+
+#define DEFINE_HOST_OP(FUNC_CTRL)                                              \
+  template <class T> struct HostFunc<T, FUNC_CTRL> {                           \
+    T operator()(T X0, T X1, T X2) {                                           \
+      T res = 0;                                                               \
+      for (unsigned i = 0; i < sizeof(X0) * 8; i++) {                          \
+        T mask = 0x1UL << i;                                                   \
+        res = (res & ~mask) |                                                  \
+              ((static_cast<uint8_t>(FUNC_CTRL) >>                             \
+                    ((((X0 >> i) & 0x1UL)) + (((X1 >> i) & 0x1UL) << 1) +      \
+                     (((X2 >> i) & 0x1UL) << 2)) &                             \
+                0x1UL)                                                         \
+               << i);                                                          \
+      }                                                                        \
+      return res;                                                              \
+    }                                                                          \
+  };
+
+DEFINE_HOST_OP(F1);
+DEFINE_HOST_OP(F2);
+DEFINE_HOST_OP(F3);
+
+// --- Specializations per each boolean operation.
+
+template <class T, int N, experimental::esimd::bfn_t Op, int Args = AllVec>
+struct ESIMDf;
+
+#define DEFINE_ESIMD_DEVICE_OP(FUNC_CTRL)                                      \
+  template <class T, int N> struct ESIMDf<T, N, FUNC_CTRL, AllVec> {           \
+    esimd::simd<T, N>                                                          \
+    operator()(esimd::simd<T, N> X0, esimd::simd<T, N> X1,                     \
+               esimd::simd<T, N> X2) const SYCL_ESIMD_FUNCTION {               \
+      return experimental::esimd::bfn<FUNC_CTRL, T, N>(X0, X1, X2);            \
+    }                                                                          \
+  };                                                                           \
+  template <class T, int N> struct ESIMDf<T, N, FUNC_CTRL, AllSca> {           \
+    esimd::simd<T, N> operator()(T X0, T X1, T X2) const SYCL_ESIMD_FUNCTION { \
+      return experimental::esimd::bfn<FUNC_CTRL, T, N>(X0, X1, X2);            \
+    }                                                                          \
+  };
+
+DEFINE_ESIMD_DEVICE_OP(F1);
+DEFINE_ESIMD_DEVICE_OP(F2);
+DEFINE_ESIMD_DEVICE_OP(F3);
+
+// --- Generic kernel calculating a binary function operation on array elements.
+
+template <class T, int N, experimental::esimd::bfn_t Op,
+          template <class, int, experimental::esimd::bfn_t, int> class Kernel>
+struct DeviceFunc {
+  const T *In0, *In1, *In2;
+  T *Out;
+
+  DeviceFunc(const T *In0, const T *In1, const T *In2, T *Out)
+      : In0(In0), In1(In1), In2(In2), Out(Out) {}
+
+  void operator()(id<1> I) const SYCL_ESIMD_KERNEL {
+    unsigned int Offset = I * N;
+    esimd::simd<T, N> V0;
+    esimd::simd<T, N> V1;
+    esimd::simd<T, N> V2;
+    V0.copy_from(In0 + Offset);
+    V1.copy_from(In1 + Offset);
+    V2.copy_from(In2 + Offset);
+
+    if (I.get(0) % 2 == 0) {
+      for (int J = 0; J < N; J++) {
+        Kernel<T, N, Op, AllSca> DevF{};
+        T Val0 = V0[J];
+        T Val1 = V1[J];
+        T Val2 = V2[J];
+        esimd::simd<T, N> V = DevF(Val0, Val1, Val2); // scalar arg
+        V0[J] = V[J];
+      }
+    } else {
+      Kernel<T, N, Op, AllVec> DevF{};
+      V0 = DevF(V0, V1, V2); // vector arg
+    }
+    V0.copy_to(Out + Offset);
+  };
+};
+
+// --- Generic test function for boolean function.
+
+template <class T, int N, experimental::esimd::bfn_t Op, int Range,
+          template <class, int, experimental::esimd::bfn_t, int> class Kernel,
+          typename InitF = InitOps<T>>
+bool test(queue &Q, const std::string &Name, InitF Init = InitOps<T>{}) {
+  constexpr size_t Size = Range * N;
+
+  auto UA = esimd_test::usm_malloc_shared<T>(Q, Size);
+  T *A = UA.get();
+  auto UB = esimd_test::usm_malloc_shared<T>(Q, Size);
+  T *B = UB.get();
+  auto UC = esimd_test::usm_malloc_shared<T>(Q, Size);
+  T *C = UC.get();
+  auto UD = esimd_test::usm_malloc_shared<T>(Q, Size);
+  T *D = UD.get();
+  Init(A, B, C, D, Size);
+
+  std::cout << "  " << Name << " test"
+            << "...\n";
+
+  try {
+    // number of workgroups
+    sycl::range<1> GlobalRange{Range};
+
+    // threads (workitems) in each workgroup
+    sycl::range<1> LocalRange{1};
+
+    auto E = Q.submit([=](handler &CGH) {
+      DeviceFunc<T, N, Op, Kernel> F(A, B, C, D);
+      CGH.parallel_for(nd_range<1>{GlobalRange, LocalRange}, F);
+    });
+    E.wait();
+  } catch (sycl::exception &Exc) {
+    std::cout << "    *** ERROR. SYCL exception caught: << " << Exc.what()
+              << "\n";
+    return false;
+  }
+
+  int ErrCnt = 0;
+
+  for (unsigned I = 0; I < Size; ++I) {
+    T Gold;
+
+    Gold = HostFunc<T, Op>{}((T)A[I], (T)B[I], (T)C[I]);
+    T Test = D[I];
+
+    if (Test != Gold) {
+      if (++ErrCnt < 10) {
+        std::cout << "\tfailed at index " << I << ", " << std::hex << Test
+                  << " != " << Gold << " (gold); "
+                  << "Input was: " << (T)A[I] << ", " << (T)B[I] << ", "
+                  << (T)C[I] << "; "
+                  << "FuncCtrl: " << int(Op) << std::dec << "\n";
+      }
+    }
+  }
+
+  if (ErrCnt > 0) {
+    std::cout << "    pass rate: "
+              << ((float)(Size - ErrCnt) / (float)Size) * 100.0f << "% ("
+              << (Size - ErrCnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (ErrCnt > 0 ? "    FAILED\n" : "    Passed\n");
+  return ErrCnt == 0;
+}
+
+// --- Tests all boolean operations with given vector length.
+
+template <class T, int N, int Range> bool testESIMD(queue &Q) {
+  bool Pass = true;
+
+  std::cout << "--- TESTING ESIMD functions, T=" << typeid(T).name()
+            << ", N = " << N << ", Range: " << Range << "...\n";
+
+  Pass &= test<T, N, F1, Range, ESIMDf>(Q, "F1");
+  Pass &= test<T, N, F2, Range, ESIMDf>(Q, "F2");
+  Pass &= test<T, N, F3, Range, ESIMDf>(Q, "F3");
+  return Pass;
+}
+
+template <class T, int N> bool testESIMDRanges(queue &Q) {
+  bool Pass = true;
+  // Test vector API.
+  Pass &= testESIMD<T, N, 128>(Q);
+  // Test scalar API with odd size.
+  Pass &= testESIMD<T, N, 101>(Q);
+  return Pass;
+}
+
+template <class T> bool testESIMDGroup(queue &Q) {
+  bool Pass = true;
+  Pass &= testESIMDRanges<T, 1>(Q);
+  Pass &= testESIMDRanges<T, 5>(Q);
+  Pass &= testESIMDRanges<T, 8>(Q);
+  Pass &= testESIMDRanges<T, 16>(Q);
+  Pass &= testESIMDRanges<T, 32>(Q);
+  return Pass;
+}
+
+// --- The entry point.
+
+int main(void) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool Pass = true;
+
+  Pass &= testESIMDGroup<uint16_t>(Q);
+  Pass &= testESIMDGroup<uint32_t>(Q);
+  Pass &= testESIMDGroup<int16_t>(Q);
+  Pass &= testESIMDGroup<int32_t>(Q);
+
+  Pass &= testESIMDGroup<uint8_t>(Q);
+  Pass &= testESIMDGroup<int8_t>(Q);
+  Pass &= testESIMDGroup<uint64_t>(Q);
+  Pass &= testESIMDGroup<int64_t>(Q);
+
+  std::cout << (Pass ? "Test Passed\n" : "Test FAILED\n");
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/dp4a.cpp b/sycl/test-e2e/ESIMD/dp4a.cpp
new file mode 100644
index 0000000000000..730ad7a8310ca
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dp4a.cpp
@@ -0,0 +1,91 @@
+//==------------------ dp4a.cpp  - DPC++ ESIMD on-device test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// TODO enable on Windows
+// REQUIRES: linux && gpu-intel-dg1
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned SIZE = 16;
+  constexpr unsigned GROUPSIZE = 1;
+  using DTYPE = unsigned int;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  auto ctxt = q.get_context();
+
+  DTYPE *S0 =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctxt));
+  DTYPE *S1 =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctxt));
+  DTYPE *S2 =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctxt));
+
+  DTYPE *RES =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctxt));
+
+  for (unsigned i = 0; i < SIZE; ++i) {
+    S0[i] = 0x32;
+    S1[i] = 0x0102037F;
+    S2[i] = 0x0102037F;
+    RES[i] = 0;
+  }
+
+  sycl::range<1> GroupRange{1};
+
+  sycl::range<1> TaskRange{GROUPSIZE};
+  sycl::nd_range<1> Range(GroupRange, TaskRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+
+            simd<DTYPE, SIZE> src0(0);
+            src0.copy_from(S0);
+
+            simd<DTYPE, SIZE> src1(0);
+            src1.copy_from(S1);
+
+            simd<DTYPE, SIZE> src2(0);
+            src2.copy_from(S2);
+
+            auto res = dp4a<DTYPE, DTYPE, DTYPE, DTYPE, SIZE>(src0, src1, src2);
+            res.copy_to(RES);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.get_cl_code();
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < SIZE; ++i) {
+    if (RES[i] != 0x3F41) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << RES[i]
+                  << " != " << 0x3F41 << "\n";
+      }
+    }
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test1.cpp b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test1.cpp
new file mode 100644
index 0000000000000..be5c1c8e1bab0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test1.cpp
@@ -0,0 +1,76 @@
+//==--------------- dpas_test1.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-dg2 || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 64;
+  constexpr unsigned VL = 16;
+  constexpr unsigned GroupSize = 1;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  int *C = malloc_shared<int>(Size, q);
+  memset(C, 0, Size * sizeof(int));
+
+  // We need that many task groups
+  range<1> GroupRange{GroupSize};
+
+  // We need that many tasks in each group
+  range<1> TaskRange{GroupSize};
+  nd_range<1> Range(GroupRange, TaskRange);
+
+  q.submit([&](handler &cgh) {
+     cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+       using namespace sycl::ext::intel::esimd;
+       using namespace sycl::ext::intel::experimental::esimd;
+
+       simd<char, Size * 2> va(0);
+       auto ma = va.bit_cast_view<char, 8, 16>();
+       ma.select<2, 1, 4, 4>(0, 0) = 4;
+
+       simd<char, 8 * 16> vb(0);
+       auto mb = vb.bit_cast_view<char, 8, 16>();
+       mb.select<8, 1, 1, 1>(0, 0) = 4;
+
+       simd<int, Size> vc(0);
+       vc =
+           dpas<argument_type::S2, argument_type::S2, 8, 8, int, int, int, Size,
+                32, 32>(vc, ma.bit_cast_view<int>(), mb.bit_cast_view<int>());
+
+       for (int i = 0; i < Size; i += VL) {
+         simd<int, VL> output = vc.select<VL, 1>(i);
+         output.copy_to(C + i);
+       }
+     });
+   }).wait();
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < Size && err_cnt < 10; ++i)
+    if (C[i] != 1) {
+      err_cnt++;
+      std::cerr << "Failed at index " << i << ", " << C[i] << " != 1\n";
+    }
+
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test2.cpp b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test2.cpp
new file mode 100644
index 0000000000000..2cb3f1cdfdb53
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test2.cpp
@@ -0,0 +1,76 @@
+//==---------------- dpas_test2.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 128;
+  constexpr unsigned VL = 16;
+  constexpr unsigned GroupSize = 1;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  int *C = malloc_shared<int>(Size, q);
+  memset(C, 0, Size * sizeof(int));
+
+  // We need that many task groups
+  range<1> GroupRange{GroupSize};
+
+  // We need that many tasks in each group
+  range<1> TaskRange{GroupSize};
+  nd_range<1> Range(GroupRange, TaskRange);
+
+  q.submit([&](handler &cgh) {
+     cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+       using namespace sycl::ext::intel::esimd;
+       using namespace sycl::ext::intel::experimental::esimd;
+
+       simd<char, Size * 2> va(0);
+       auto ma = va.bit_cast_view<char, 8, 32>();
+       ma.select<2, 1, 8, 4>(0, 0) = 4;
+
+       simd<char, Size> vb(0);
+       auto mb = vb.bit_cast_view<char, 8, 16>();
+       mb.select<8, 1, 1, 1>(0, 0) = 4;
+
+       simd<int, Size> vc(0);
+       vc =
+           dpas<argument_type::S2, argument_type::S2, 8, 8, int, int, int, Size,
+                64, 32>(vc, ma.bit_cast_view<int>(), mb.bit_cast_view<int>());
+
+       for (int i = 0; i < Size; i += VL) {
+         simd<int, VL> output = vc.select<VL, 1>(i);
+         output.copy_to(C + i);
+       }
+     });
+   }).wait();
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < Size && err_cnt < 10; ++i)
+    if (C[i] != 1) {
+      err_cnt++;
+      std::cerr << "Failed at index " << i << ", " << C[i] << " != 1\n";
+    }
+
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test3.cpp b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test3.cpp
new file mode 100644
index 0000000000000..3ad01bf12bb40
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_test3.cpp
@@ -0,0 +1,135 @@
+//==---------------- dpas_test3.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -DVER1 -o %t.out1
+// RUN: %clangxx -fsycl %s -DVER2 -o %t.out2
+// RUN: %GPU_RUN_PLACEHOLDER %t.out1
+// RUN: %GPU_RUN_PLACEHOLDER %t.out2
+
+// The test verifies the low-level API for DPAS with 'bfloat16' types.
+// The macros VER1 and VER2 are used to verify slightly different
+// ways of initializing the input operands of DPAS. There were runtime
+// errors previously depending on what variant of initialization was used.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+using BF16 = uint16_t;
+
+union BFloat16 {
+  float f;
+  unsigned short s[2];
+};
+
+uint16_t FP32toBF16(float f) {
+  BFloat16 bf16;
+  bf16.f = f;
+  return bf16.s[1];
+}
+
+float BF16toFP32(uint16_t i) {
+  BFloat16 bf16;
+  bf16.s[0] = 0;
+  bf16.s[1] = i;
+  return bf16.f;
+}
+
+template <typename T, int K, int N>
+simd<T, K * N> pack_bb(simd<T, K * N> &src) {
+  // K=16 N=16
+  simd<T, K * N> dst;
+  auto dst2d = dst.template bit_cast_view<T, K / 2, N * 2>();
+  auto src2d = src.template bit_cast_view<T, K, N>();
+  dst2d.template select<8, 1, 16, 2>(0, 0) =
+      src2d.template select<8, 2, 16, 1>(0, 0);
+  dst2d.template select<8, 1, 16, 2>(0, 1) =
+      src2d.template select<8, 2, 16, 1>(1, 0);
+  return dst;
+}
+
+void dpas_ker(nd_item<1> &idx, BF16 *matA, BF16 *matB, float *matC) {
+  //  matC = matC + matA * matB
+  //  matC 8x16 MxN
+  //  matA 8x16 MxK
+  //  matB 16x16 KxN
+  constexpr int MB = 8;
+  constexpr int NB = 16; // KB = NB = 16 in pvc
+  constexpr int KB = 16;
+  constexpr int TN = 128;
+  constexpr int TN1 = 128;
+  constexpr int TN2 = 64;
+  constexpr int REPEAT_COUNT = 8;
+  constexpr int SYSTOLIC_DEPTH = 8;
+
+  simd<BF16, MB * KB> BA;  // MB, KB
+  simd<BF16, KB * NB> BB;  // KB, NB
+  simd<float, MB * NB> BC; // MB, NB
+#ifdef VER1
+  BA.copy_from(matA);
+  BB.copy_from(matB);
+#else // VER2
+  for (int i = 0; i < MB * KB; ++i)
+    BA[i] = FP32toBF16(float(i));
+  for (int i = 0; i < KB * NB; ++i)
+    BB[i] = FP32toBF16(float(i));
+#endif
+  BC = 0.0f;
+  simd<BF16, KB *NB> BBvnni = pack_bb<BF16, KB, NB>(BB);
+  BC = dpas<argument_type::BF16, argument_type::BF16, SYSTOLIC_DEPTH,
+            REPEAT_COUNT, float, uint, uint, TN, TN1, TN2>(
+      BC, BBvnni.template bit_cast_view<uint>(),
+      BA.template bit_cast_view<uint>());
+  BBvnni.copy_to(matB);
+  BC.copy_to(matC);
+}
+
+int main() {
+  // A [8][16] * B[16][16]= C[8][16]
+  queue q(gpu_selector_v);
+  nd_range<1> Range(range<1>{1}, range<1>{1});
+  constexpr int MB = 8;
+  constexpr int NB = 16; // KB = NB = 16 in pvc
+  constexpr int KB = 16;
+  BF16 *matA = malloc_shared<BF16>(MB * KB, q);
+  BF16 *matB = malloc_shared<BF16>(KB * NB, q);
+  float *matC = malloc_shared<float>(MB * NB, q);
+  for (int i = 0; i < MB * KB; ++i)
+    matA[i] = FP32toBF16(float(i));
+  for (int i = 0; i < KB * NB; ++i)
+    matB[i] = FP32toBF16(float(i));
+  for (int i = 0; i < MB * NB; ++i)
+    matC[i] = 0.0f;
+  q.submit([&](handler &cgh) {
+     cgh.parallel_for(Range, [=](nd_item<1> idx) SYCL_ESIMD_KERNEL {
+       dpas_ker(idx, matA, matB, matC);
+     });
+   }).wait();
+
+  unsigned err_cnt = 0;
+  for (unsigned i = 0; i < MB * NB && err_cnt < 10; ++i) {
+    int m = i / NB;
+    int n = i % NB;
+    float res = 0.0f;
+    for (int k = 0; k < KB; ++k)
+      res += float((m * KB + k) * (k * NB + n));
+    if (std::abs(res - matC[i]) > 0.0001) {
+      std::cerr << "res vs ref: " << res << " : " << matC[i] << std::endl;
+      err_cnt++;
+    }
+  }
+  free(matA, q);
+  free(matB, q);
+  free(matC, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_tf32.cpp b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_tf32.cpp
new file mode 100644
index 0000000000000..fbd4d9848e9c0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/deprecated/dpas_tf32.cpp
@@ -0,0 +1,89 @@
+//==---------------- dpas_tf32.cpp  - DPC++ ESIMD on-device test ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: esimd_emulator
+
+// The test verifies the low-level API for DPAS with 'tfloat32' types.
+// It checks the versions of DPAS with and without the accumulator operand.
+
+#include "../../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+int main() {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  constexpr int REPEAT_COUNT = 8;
+  constexpr int SYSTOLIC_DEPTH = 8;
+  constexpr int EXECUTION_SIZE = 16;
+
+  constexpr int M = REPEAT_COUNT;
+  constexpr int N = EXECUTION_SIZE;
+  constexpr int K = SYSTOLIC_DEPTH; // SYSTOLIC_DEPTH * OPS_PER_CHANNEL
+  float *A = malloc_shared<float>(M * K, Q);
+  float *B = malloc_shared<float>(K * N, Q);
+  float *C = malloc_shared<float>(M * N, Q);
+  float *D = malloc_shared<float>(M * N, Q);
+  for (int I = 0; I < M * K; ++I)
+    A[I] = I;
+  for (int I = 0; I < K * N; ++I)
+    B[I] = I;
+
+  Q.single_task([=]() SYCL_ESIMD_KERNEL {
+     simd<float, M * K> AVec(A);
+     simd<float, K * N> BVec(B);
+     auto AView = AVec.template bit_cast_view<uint>();
+     auto BView = BVec.template bit_cast_view<uint>();
+     // C(MxN) = A(MxK) * B(KxN)
+     simd<float, M *N> CVec =
+         dpas<argument_type::TF32, argument_type::TF32, SYSTOLIC_DEPTH,
+              REPEAT_COUNT, float, uint, uint, M * N, K * N, M * K>(
+             BView.read(), AView.read());
+     CVec.copy_to(C);
+
+     // D(MxN) = D(MxN) + A(MxK) * B(KxN);
+     simd<float, M *N> DVec = 1.0;
+     DVec = dpas<argument_type::TF32, argument_type::TF32, SYSTOLIC_DEPTH,
+                 REPEAT_COUNT, float, uint, uint, M * N, K * N, M * K>(
+         DVec, BView.read(), AView.read());
+     DVec.copy_to(D);
+   }).wait();
+
+  unsigned ErrCnt = 0;
+  for (unsigned I = 0; (I < M * N) && (ErrCnt < 10); ++I) {
+    int m = I / N;
+    int n = I % N;
+    float RefResC = 0.0f;
+    for (int k = 0; k < K; ++k)
+      RefResC += float((m * K + k) * (k * N + n));
+    if (std::abs(RefResC - C[I]) > 0.001) {
+      std::cerr << "C[i] vs ref: " << C[I] << " : " << RefResC << std::endl;
+      ErrCnt++;
+    }
+    float RefResD = RefResC + 1.0;
+    if (std::abs(RefResD - D[I]) > 0.001) {
+      std::cerr << "D[i] vs ref: " << D[I] << " : " << RefResD << std::endl;
+      ErrCnt++;
+    }
+  }
+  free(A, Q);
+  free(B, Q);
+  free(C, Q);
+  free(D, Q);
+
+  std::cout << (ErrCnt > 0 ? "FAILED\n" : "Passed\n");
+  return ErrCnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/deprecated/dpasw_test.cpp b/sycl/test-e2e/ESIMD/dpas/deprecated/dpasw_test.cpp
new file mode 100644
index 0000000000000..786ea6b6e5afe
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/deprecated/dpasw_test.cpp
@@ -0,0 +1,76 @@
+//==------------- dpasw_test.cpp  - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-dg2
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 64;
+  constexpr unsigned VL = 16;
+  constexpr unsigned GroupSize = 2;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  int *C = malloc_shared<int>(Size, q);
+  memset(C, 0, Size * sizeof(int));
+
+  // We need that many task groups
+  range<1> GroupRange{GroupSize};
+
+  // We need that many tasks in each group
+  range<1> TaskRange{GroupSize};
+  nd_range<1> Range(GroupRange, TaskRange);
+
+  q.submit([&](handler &cgh) {
+     cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+       using namespace sycl::ext::intel::esimd;
+       using namespace sycl::ext::intel::experimental::esimd;
+
+       simd<char, Size * 2> va(0);
+       auto ma = va.bit_cast_view<char, 8, 16>();
+       ma.select<2, 1, 4, 4>(0, 0) = 4;
+
+       simd<char, 8 * 8> vb(0);
+       auto mb = vb.bit_cast_view<char, 8, 8>();
+       mb.select<4, 2, 1, 1>(0, 0) = 4;
+
+       simd<int, Size> vc(0);
+       vc = dpasw<argument_type::S2, argument_type::S2, 8, 8, int, int, int,
+                  Size, 32, 16>(vc, ma.bit_cast_view<int>(),
+                                mb.bit_cast_view<int>());
+
+       for (int i = 0; i < Size; i += VL) {
+         simd<int, VL> output = vc.select<VL, 1>(i);
+         output.copy_to(C + i);
+       }
+     });
+   }).wait();
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < Size && err_cnt < 10; ++i)
+    if (C[i] != 1) {
+      err_cnt++;
+      std::cerr << "Failed at index " << i << ", " << C[i] << " != 1\n";
+    }
+
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/dpas_bf16.cpp b/sycl/test-e2e/ESIMD/dpas/dpas_bf16.cpp
new file mode 100644
index 0000000000000..ea91afff34dda
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/dpas_bf16.cpp
@@ -0,0 +1,35 @@
+//==---------------- dpas_bf16.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || gpu-intel-dg2 || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies DPAS support for bfloat16.
+
+#include "dpas_common.hpp"
+
+int main(int argc, const char *argv[]) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>() << std::endl;
+
+  bool Print = argc > 1 && std::string(argv[1]) == "-debug";
+  bool Passed = true;
+
+  constexpr bool LetDeduceArgs = true;
+  Passed &= tests<8, 8, bf16, bf16, LetDeduceArgs>(Q, Print);
+  Passed &= tests<8, 4, bf16, bf16, LetDeduceArgs>(Q, Print);
+  Passed &= tests<8, 1, bf16, bf16, LetDeduceArgs>(Q, Print);
+
+  Passed &= tests<8, 5, bf16, bf16, LetDeduceArgs>(Q, Print);
+  Passed &= tests<8, 3, bf16, bf16, LetDeduceArgs>(Q, Print);
+
+  std::cout << (Passed ? "Test Passed\n" : "Test FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/dpas_common.hpp b/sycl/test-e2e/ESIMD/dpas/dpas_common.hpp
new file mode 100644
index 0000000000000..0eff1c2e28f08
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/dpas_common.hpp
@@ -0,0 +1,459 @@
+//==---------------- dpas_common.hpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This file contains the common utility/helper functions for the tests
+// verifying DPAS functionality.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+#include <type_traits>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::esimd::xmx;
+
+constexpr dpas_argument_type s2 = dpas_argument_type::s2;
+constexpr dpas_argument_type u2 = dpas_argument_type::u2;
+constexpr dpas_argument_type s4 = dpas_argument_type::s4;
+constexpr dpas_argument_type u4 = dpas_argument_type::u4;
+constexpr dpas_argument_type s8 = dpas_argument_type::s8;
+constexpr dpas_argument_type u8 = dpas_argument_type::u8;
+
+constexpr dpas_argument_type fp16 = dpas_argument_type::fp16;
+constexpr dpas_argument_type bf16 = dpas_argument_type::bf16;
+constexpr dpas_argument_type tf32 = dpas_argument_type::tf32;
+
+std::string toString(dpas_argument_type T) {
+  switch (T) {
+  case dpas_argument_type::s2:
+    return "s2";
+  case dpas_argument_type::u2:
+    return "u2";
+  case dpas_argument_type::s4:
+    return "s4";
+  case dpas_argument_type::u4:
+    return "u4";
+  case dpas_argument_type::s8:
+    return "s8";
+  case dpas_argument_type::u8:
+    return "u8";
+  case dpas_argument_type::fp16:
+    return "fp16";
+  case dpas_argument_type::bf16:
+    return "bf16";
+  case dpas_argument_type::tf32:
+    return "tf32";
+  case dpas_argument_type::s1:
+  case dpas_argument_type::u1:
+  case dpas_argument_type::Invalid:
+    return "UNSUPPORTED";
+  }
+  return "UNRECOGNIZED";
+}
+
+template <dpas_argument_type T> struct DpasPrintType {
+  static constexpr bool is_sint = T == dpas_argument_type::s2 ||
+                                  T == dpas_argument_type::s4 ||
+                                  T == dpas_argument_type::s8;
+  static constexpr bool is_uint = T == dpas_argument_type::u2 ||
+                                  T == dpas_argument_type::u4 ||
+                                  T == dpas_argument_type::u8;
+  static constexpr bool is_fp = T == dpas_argument_type::fp16 ||
+                                T == dpas_argument_type::bf16 ||
+                                T == dpas_argument_type::tf32;
+
+  using type = std::conditional_t<
+      is_fp, float,
+      std::conditional_t<is_sint, int,
+                         std::conditional_t<is_uint, unsigned int, void>>>;
+};
+
+template <int Size> struct getIntTypeWithSize {
+  using type =
+      std::conditional_t<Size == 4, int,
+                         std::conditional_t<Size == 2, short, signed char>>;
+};
+
+template <dpas_argument_type T> struct DpasNaturalOperandType {
+  static constexpr bool is_sint = T == dpas_argument_type::s2 ||
+                                  T == dpas_argument_type::s4 ||
+                                  T == dpas_argument_type::s8;
+  static constexpr bool is_uint = T == dpas_argument_type::u2 ||
+                                  T == dpas_argument_type::u4 ||
+                                  T == dpas_argument_type::u8;
+
+  static constexpr bool is_fp16 = T == dpas_argument_type::fp16;
+  static constexpr bool is_bf16 = T == dpas_argument_type::bf16;
+  static constexpr bool is_tf32 = T == dpas_argument_type::tf32;
+
+  // TODO: support tf32 here.
+  using type = std::conditional_t<
+      is_sint, signed char,
+      std::conditional_t<
+          is_uint, unsigned char,
+          std::conditional_t<
+              is_fp16, sycl::half,
+              std::conditional_t<
+                  is_bf16, sycl::ext::oneapi::bfloat16,
+                  std::conditional_t<
+                      is_tf32, sycl::ext::intel::experimental::esimd::tfloat32,
+                      void>>>>>;
+};
+
+template <dpas_argument_type T> constexpr int getBitSize() {
+  switch (T) {
+  case dpas_argument_type::s2:
+  case dpas_argument_type::u2:
+    return 2;
+
+  case dpas_argument_type::s4:
+  case dpas_argument_type::u4:
+    return 4;
+
+  case dpas_argument_type::s8:
+  case dpas_argument_type::u8:
+    return 8;
+  case dpas_argument_type::fp16:
+  case dpas_argument_type::bf16:
+    return 16;
+
+  case dpas_argument_type::tf32:
+    return 32;
+
+  case dpas_argument_type::Invalid:
+  case dpas_argument_type::s1:
+  case dpas_argument_type::u1:
+    break;
+  }
+  return 0;
+}
+
+std::string toString(dpas_argument_type T1, dpas_argument_type T2) {
+  return std::string("{") + toString(T1) + ", " + toString(T2) + "}";
+}
+
+template <int NumRows, int NumCols, dpas_argument_type ArgPrecision,
+          typename ElemT>
+void writeToHorizontallyPackedMatrix(void *VVec, int Row, int Col,
+                                     ElemT Value) {
+  constexpr int ElemBitSize = getBitSize<ArgPrecision>();
+
+  ElemT *Vec = reinterpret_cast<ElemT *>(VVec);
+
+  // 1. Find and read the target 'unsigned int' element.
+  // THe unpacked matrix has dimensions: NumRows*NumCols
+  constexpr int ElemsInElemT = sizeof(ElemT) * 8 / ElemBitSize;
+  int UnpackedLinearIndex = Row * NumCols + Col;
+  int PackedLinearIndex = UnpackedLinearIndex / ElemsInElemT;
+
+  // 2. Update the corresponding bits of the target element.
+  if constexpr (ElemBitSize == sizeof(ElemT) * 8) {
+    Vec[PackedLinearIndex] = Value;
+  } else {
+    ElemT TargetElem = Vec[PackedLinearIndex];
+    // TargetElem has 2 or more elements in it. Need to extract one.
+    // TODO: for now assume that is the case only for 2 or 4-bit integers.
+    assert((ElemBitSize == 2 || ElemBitSize == 4) && "Unexpected element type");
+
+    unsigned int Offset = (UnpackedLinearIndex % ElemsInElemT) * ElemBitSize;
+    unsigned int Mask = (1 << ElemBitSize) - 1;
+
+    Value = (Value & Mask) << Offset;
+    Mask = Mask << Offset;
+    TargetElem = (TargetElem & ~Mask) | Value;
+    Vec[PackedLinearIndex] = TargetElem;
+  }
+}
+
+template <int NumRows, int NumCols, dpas_argument_type ArgPrecision,
+          typename ReadT>
+ReadT readFromHorizontallyPackedMatrix(void *VVec, int Row, int Col) {
+  constexpr int ElemBitSize = ArgPrecision == dpas_argument_type::Invalid
+                                  ? (sizeof(ReadT) * 8)
+                                  : getBitSize<ArgPrecision>();
+  using ElemT =
+      std::conditional_t<ArgPrecision == dpas_argument_type::Invalid, ReadT,
+                         typename DpasNaturalOperandType<ArgPrecision>::type>;
+  ElemT *Vec = reinterpret_cast<ElemT *>(VVec);
+
+  // 1. Find and read the target 'unsigned int' element.
+  // The unpacked matrix has dimensions: NumRows*NumCols
+  constexpr int ElemsInElemT = sizeof(ElemT) * 8 / ElemBitSize;
+  int UnpackedLinearIndex = Row * NumCols + Col;
+  int PackedLinearIndex = UnpackedLinearIndex / ElemsInElemT;
+  ElemT TargetElem = Vec[PackedLinearIndex];
+
+  // 2. Extract, add sign and return the value.
+  if constexpr (ElemBitSize == sizeof(ElemT) * 8) {
+    return static_cast<ReadT>(TargetElem);
+  } else {
+    // TargetElem has 2 or more elements in it. Need to extract one.
+    // TODO: for now assume that is the case only for 2 or 4-bit integers.
+    assert((ElemBitSize == 2 || ElemBitSize == 4) && "Unexpected element type");
+    unsigned int Offset = (UnpackedLinearIndex % ElemsInElemT) * ElemBitSize;
+    unsigned int Mask = (static_cast<uint64_t>(1) << ElemBitSize) - 1;
+    ElemT Value = (TargetElem >> Offset) & Mask;
+    if constexpr (std::is_signed_v<ElemT>) {
+      Value <<= ((sizeof(ElemT) * 8) - ElemBitSize);
+      Value >>= ((sizeof(ElemT) * 8) - ElemBitSize);
+    }
+    return Value;
+  }
+}
+
+template <int NumRows, int NumCols, dpas_argument_type ArgPrecision,
+          typename ElemT>
+void writeToVerticallyPackedMatrix(void *VVec, int Row, int Col, ElemT Value) {
+  int *Vec = reinterpret_cast<int *>(VVec);
+  constexpr int ElemBitSize = getBitSize<ArgPrecision>();
+
+  // 1. Find and read the target 'int' element.
+  // The unpacked matrix has dimensions: NumRows*NumCols.
+  constexpr int ElemsInInt = 32 / ElemBitSize;
+  int PackedRow = Row / ElemsInInt;
+  int PackedLinearIndex = PackedRow * NumCols + Col;
+  int TargetElem = Vec[PackedLinearIndex];
+
+  // Insert sub-element 'Value' into 32-bit int and write back to matrix.
+  int ElemBitOffset = (Row % ElemsInInt) * ElemBitSize;
+  int Mask = (static_cast<uint64_t>(1) << ElemBitSize) - 1;
+  using IType = typename getIntTypeWithSize<sizeof(ElemT)>::type;
+  int IValue = sycl::bit_cast<IType>(Value);
+  IValue = (IValue & Mask) << ElemBitOffset;
+  Mask = Mask << ElemBitOffset;
+  TargetElem = (TargetElem & ~Mask) | IValue;
+  Vec[PackedLinearIndex] = TargetElem;
+}
+
+template <int NumRows, int NumCols, dpas_argument_type ArgPrecision,
+          typename ReadT>
+ReadT readFromVerticallyPackedMatrix(void *VVec, int Row, int Col) {
+  constexpr int ElemBitSize = getBitSize<ArgPrecision>();
+  using ElemT = typename DpasNaturalOperandType<ArgPrecision>::type;
+  int *Vec = reinterpret_cast<int *>(VVec);
+
+  // 1. Find and read the target 'int' element.
+  // The unpacked matrix has dimensions: NumRows*NumCols.
+  constexpr int ElemsInInt = 32 / ElemBitSize;
+
+  int PackedRow = Row / ElemsInInt;
+  int TargetElem = Vec[PackedRow * NumCols + Col];
+
+  // 2. Extract the queried sub-elem from 32-bit int, bit-cast to ReadT and
+  // return.
+  int ElemBitOffset = (Row % ElemsInInt) * ElemBitSize;
+  unsigned int Mask = (static_cast<uint64_t>(1) << ElemBitSize) - 1;
+  int Value = (TargetElem >> ElemBitOffset) & Mask;
+  if constexpr (std::is_signed_v<ElemT> && std::is_integral_v<ElemT>) {
+    Value <<= (32 - ElemBitSize);
+    Value >>= (32 - ElemBitSize);
+    return Value;
+  } else {
+    using IType = typename getIntTypeWithSize<sizeof(ElemT)>::type;
+    IType IValue = static_cast<IType>(Value);
+    return sycl::bit_cast<ElemT>(IValue);
+  }
+}
+
+template <int M, int N, dpas_argument_type ArgPrecision, typename ReadT,
+          bool IsHorizontalPack>
+void printMatrix(void *Vec, std::string Msg) {
+  std::cout << Msg << "(" << M << "x" << N
+            << "), element precision = " << toString(ArgPrecision) << std::endl;
+  for (int I = 0; I < M; I++) {
+    for (int J = 0; J < N; J++) {
+
+      ReadT Value;
+      if constexpr (IsHorizontalPack)
+        Value = readFromHorizontallyPackedMatrix<M, N, ArgPrecision, ReadT>(
+            Vec, I, J);
+      else
+        Value = readFromVerticallyPackedMatrix<M, N, ArgPrecision, ReadT>(Vec,
+                                                                          I, J);
+
+      if constexpr (std::is_integral_v<ReadT>)
+        printf("%3d", Value);
+      else
+        std::cout << (float)Value;
+      if (J + 1 < N)
+        std::cout << ",";
+    }
+    std::cout << std::endl;
+  }
+}
+
+template <int SystolicDepth, int RepeatCount, dpas_argument_type BPrec,
+          dpas_argument_type APrec, bool UseSrc0, int ExecSize,
+          bool LetDeduceArgs>
+bool test(queue &Q, bool Print) {
+  constexpr unsigned Size = 128;
+  constexpr unsigned VL = 16;
+
+  constexpr int AElemBitSize = getBitSize<APrec>();
+  constexpr int BElemBitSize = getBitSize<BPrec>();
+  constexpr int OpsPerChannel =
+      std::min(32 / std::max(AElemBitSize, BElemBitSize), 8);
+
+  using BPrintT = typename DpasPrintType<BPrec>::type;
+  using APrintT = typename DpasPrintType<APrec>::type;
+  using ABPrintT = decltype(std::declval<APrintT>() * std::declval<BPrintT>());
+
+  // A(_Mx_K) * B(_Kx_N) + C(_Mx_N)
+  // where:
+  constexpr int M = RepeatCount;
+  constexpr int K = SystolicDepth * OpsPerChannel;
+  constexpr int N = ExecSize; // 16 for PVC, 8 for DG2.
+
+  std::cout << "dpas.8x" << RepeatCount << ": (ExecSize = " << ExecSize
+            << "): " << toString(BPrec, APrec) << ", UseSrc0 = " << UseSrc0
+            << ", LetDeduceArgs = " << LetDeduceArgs << std::endl;
+
+  using ANaturalType = typename DpasNaturalOperandType<APrec>::type;
+  using BNaturalType = typename DpasNaturalOperandType<BPrec>::type;
+  using ResNaturalType = ABPrintT;
+  constexpr int APackedSize = M * K * AElemBitSize / (sizeof(ANaturalType) * 8);
+  constexpr int BPackedSize = K * N * BElemBitSize / (sizeof(BNaturalType) * 8);
+
+  auto APacked = aligned_alloc_shared<ANaturalType>(128, APackedSize, Q);
+  auto BPacked = aligned_alloc_shared<BNaturalType>(128, BPackedSize, Q);
+  auto Res = aligned_alloc_shared<ResNaturalType>(128, M * N, Q);
+  // Init APacked;
+  float Value = 1.2;
+  for (int II = 0; II < M; II++) {
+    for (int JJ = 0; JJ < K; JJ++) {
+      Value += 1.1;
+      writeToHorizontallyPackedMatrix<M, K, APrec>(
+          APacked, II, JJ, static_cast<ANaturalType>(Value));
+    }
+  }
+  if (Print)
+    printMatrix<M, K, APrec, APrintT, true /*horizontal-pack*/>(APacked, "A");
+
+  // Init BPacked;
+  for (int II = 0; II < K; II++) {
+    for (int JJ = 0; JJ < N; JJ++) {
+      int Value = (II + JJ % 4) == 0 ? 1 : (2 + II + JJ) % 3;
+      writeToVerticallyPackedMatrix<K, N, BPrec>(
+          BPacked, II, JJ, static_cast<BNaturalType>(Value));
+      assert(Value == (int)(static_cast<BNaturalType>(Value)) && "ERROR");
+    }
+  }
+  if (Print)
+    printMatrix<K, N, BPrec, BPrintT, false /*vertical-pack*/>(BPacked, "B");
+
+  Q.single_task([=]() SYCL_ESIMD_KERNEL {
+     simd<ANaturalType, APackedSize> A(APacked, overaligned_tag<16>{});
+     simd<BNaturalType, BPackedSize> B(BPacked, overaligned_tag<16>{});
+     simd<ResNaturalType, M * N> C;
+
+     if constexpr (LetDeduceArgs) {
+       if constexpr (UseSrc0) {
+         // Compute C = C + AxB;
+         C = 1;
+         C = dpas<8, RepeatCount, ResNaturalType>(C, B, A);
+       } else {
+         // Compute C = AxB;
+         C = dpas<8, RepeatCount, ResNaturalType>(B, A);
+       }
+
+     } else {
+       if constexpr (UseSrc0) {
+         // Compute C = C + AxB;
+         C = 1;
+         C = dpas<8, RepeatCount, ResNaturalType, ResNaturalType, BNaturalType,
+                  ANaturalType, BPrec, APrec>(C, B, A);
+       } else {
+         // Compute C = AxB;
+         C = dpas<8, RepeatCount, ResNaturalType, BNaturalType, ANaturalType,
+                  BPrec, APrec>(B, A);
+       }
+     }
+
+     C.copy_to(Res);
+   }).wait();
+
+  if (Print)
+    printMatrix<M, N, dpas_argument_type::Invalid, ABPrintT,
+                true /*horizontal-pack*/>(Res, "C");
+
+  int NErrors = 0;
+  auto A = APacked;
+  auto B = BPacked;
+  for (int II = 0; II < M && NErrors < 10; II++) {
+    for (int JJ = 0; JJ < N && NErrors < 10; JJ++) {
+      ABPrintT GoldRes = 0;
+      if constexpr (UseSrc0)
+        GoldRes = 1;
+
+      // Res(i,j) = C(i,j) = A(i,*)*B(*,j))
+      for (int KK = 0; KK < K; KK++) {
+        APrintT AVal =
+            readFromHorizontallyPackedMatrix<M, K, APrec, APrintT>(A, II, KK);
+        BPrintT BVal =
+            readFromVerticallyPackedMatrix<K, N, BPrec, BPrintT>(B, KK, JJ);
+        GoldRes += AVal * BVal;
+      }
+      // Res(i,j) is Res[N*i + j]
+      if (Res[N * II + JJ] != GoldRes) {
+        NErrors++;
+        std::cerr << "Res[" << II << ", " << JJ << "] = (" << Res[M * II + JJ]
+                  << ") != expected (" << GoldRes << ")" << std::endl;
+      }
+    } // end for JJ
+  }   // end for II
+
+  free(Res, Q);
+  free(APacked, Q);
+  free(BPacked, Q);
+  return NErrors == 0;
+}
+
+template <int SystolicDepth, int RepeatCount, dpas_argument_type T1,
+          dpas_argument_type T2, bool LetDeduceArgs = false,
+          bool ExecSize16Only = false>
+bool tests(queue Q, bool Print) {
+  bool Passed = true;
+  constexpr bool UseSrc0 = true;
+  auto Dev = Q.get_device();
+
+  // Detect the execution size.
+  // The device trait is not implemented for esimd_emulator. Use both 8 and 16.
+  int ExecSize;
+  bool IsEmulator = false;
+  try {
+    ExecSize = Dev.get_info<ext::intel::info::device::gpu_eu_simd_width>();
+  } catch (sycl::exception e) {
+    IsEmulator = true;
+  }
+  assert((IsEmulator || (ExecSize == 8 || ExecSize == 16)) &&
+         "Execution size must be 8 or 16");
+
+  if (ExecSize == 16 || IsEmulator) {
+    Passed &=
+        test<SystolicDepth, RepeatCount, T1, T2, UseSrc0, 16, LetDeduceArgs>(
+            Q, Print);
+    Passed &=
+        test<SystolicDepth, RepeatCount, T1, T2, !UseSrc0, 16, LetDeduceArgs>(
+            Q, Print);
+  }
+  if (ExecSize == 8 || IsEmulator) {
+    if constexpr (!ExecSize16Only) {
+      Passed &=
+          test<SystolicDepth, RepeatCount, T1, T2, UseSrc0, 8, LetDeduceArgs>(
+              Q, Print);
+      Passed &=
+          test<SystolicDepth, RepeatCount, T1, T2, !UseSrc0, 8, LetDeduceArgs>(
+              Q, Print);
+    }
+  }
+
+  return Passed;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/dpas_fp16.cpp b/sycl/test-e2e/ESIMD/dpas/dpas_fp16.cpp
new file mode 100644
index 0000000000000..a6054f6713d0b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/dpas_fp16.cpp
@@ -0,0 +1,35 @@
+//==---------------- dpas_fp16.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || gpu-intel-dg2 || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies DPAS support for float16.
+
+#include "dpas_common.hpp"
+
+int main(int argc, const char *argv[]) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>() << std::endl;
+
+  bool Print = argc > 1 && std::string(argv[1]) == "-debug";
+  bool Passed = true;
+
+  constexpr bool LetDeduceArgs = true;
+  Passed &= tests<8, 8, fp16, fp16, LetDeduceArgs>(Q, Print);
+  Passed &= tests<8, 4, fp16, fp16, LetDeduceArgs>(Q, Print);
+  Passed &= tests<8, 1, fp16, fp16, LetDeduceArgs>(Q, Print);
+
+  Passed &= tests<8, 5, fp16, fp16, LetDeduceArgs>(Q, Print);
+  Passed &= tests<8, 3, fp16, fp16, LetDeduceArgs>(Q, Print);
+
+  std::cout << (Passed ? "Test Passed\n" : "Test FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/dpas_int.cpp b/sycl/test-e2e/ESIMD/dpas/dpas_int.cpp
new file mode 100644
index 0000000000000..e0e85fb7e3352
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/dpas_int.cpp
@@ -0,0 +1,58 @@
+//==---------------- dpas_int.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || gpu-intel-dg2 || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies DPAS support for 2,4,8-bit integers.
+
+#include "dpas_common.hpp"
+
+int main(int argc, const char *argv[]) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>() << std::endl;
+
+  bool Print = argc > 1 && std::string(argv[1]) == "-debug";
+  bool Passed = true;
+
+  constexpr bool LetDeduceArgs = true;
+
+  // Test unsigned 2-bit integers.
+  Passed &= tests<8, 8, u2, u2>(Q, Print);
+  Passed &= tests<8, 4, u2, u2>(Q, Print);
+  Passed &= tests<8, 3, u2, u2>(Q, Print);
+  Passed &= tests<8, 1, u2, u2>(Q, Print);
+
+  // Test signed 2-bit integers.
+  Passed &= tests<8, 8, s2, s2>(Q, Print);
+  Passed &= tests<8, 5, s2, s2>(Q, Print);
+  Passed &= tests<8, 2, s2, s2>(Q, Print);
+  Passed &= tests<8, 1, s2, s2>(Q, Print);
+
+  // Test the mix of signed and unsigned 2-bit integers.
+  Passed &= tests<8, 1, u2, s2>(Q, Print);
+  Passed &= tests<8, 1, s2, u2>(Q, Print);
+
+  // Test couple combinations with 4-bit integers.
+  Passed &= tests<8, 8, s4, s4>(Q, Print);
+  Passed &= tests<8, 4, u4, s4>(Q, Print);
+
+  // Test couple combinations with 8-bit integers.
+  Passed &= tests<8, 8, s8, s8>(Q, Print);
+  Passed &= tests<8, 2, u8, s8, LetDeduceArgs>(Q, Print);
+
+  // Test some mixes of 2/4/8-bit integers.
+  Passed &= tests<8, 8, s2, s4>(Q, Print);
+  Passed &= tests<8, 1, s2, s8>(Q, Print);
+  Passed &= tests<8, 4, s8, s4>(Q, Print);
+
+  std::cout << (Passed ? "Test Passed\n" : "Test FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/dpas/dpas_tf32.cpp b/sycl/test-e2e/ESIMD/dpas/dpas_tf32.cpp
new file mode 100644
index 0000000000000..b48bf44c9b593
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dpas/dpas_tf32.cpp
@@ -0,0 +1,39 @@
+//==---------------- dpas_bf16.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO: implement support for tfloat32 in esimd_emulator
+// XFAIL: esimd_emulator
+
+// This test verifies DPAS support for tfloat32.
+
+#include "dpas_common.hpp"
+
+int main(int argc, const char *argv[]) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>() << std::endl;
+
+  bool Print = argc > 1 && std::string(argv[1]) == "-debug";
+  bool Passed = true;
+
+  constexpr bool LetDeduceArgs = true;
+  constexpr bool ExecSize16Only = true;
+  Passed &= tests<8, 8, tf32, tf32, LetDeduceArgs, ExecSize16Only>(Q, Print);
+  Passed &= tests<8, 4, tf32, tf32, LetDeduceArgs, ExecSize16Only>(Q, Print);
+  Passed &= tests<8, 1, tf32, tf32, LetDeduceArgs, ExecSize16Only>(Q, Print);
+
+  Passed &= tests<8, 5, tf32, tf32, LetDeduceArgs, ExecSize16Only>(Q, Print);
+  Passed &= tests<8, 3, tf32, tf32, LetDeduceArgs, ExecSize16Only>(Q, Print);
+
+  std::cout << (Passed ? "Test Passed\n" : "Test FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/dword_atomic_cmpxchg.cpp b/sycl/test-e2e/ESIMD/dword_atomic_cmpxchg.cpp
new file mode 100644
index 0000000000000..03d5ac53ab82c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dword_atomic_cmpxchg.cpp
@@ -0,0 +1,26 @@
+//==---------------- dword_atomic_smoke.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks DWORD compare-and-exchange atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This macro enables only cmpxch tests. They may require more time to execute,
+// and have higher probablity to hit kernel execution time limit, so they are
+// separated.
+#define CMPXCHG_TEST
+
+// This macro enforces usage of dword atomics in the included test.
+#define USE_DWORD_ATOMICS
+
+#include "lsc/atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/dword_atomic_cmpxchg_scalar_off.cpp b/sycl/test-e2e/ESIMD/dword_atomic_cmpxchg_scalar_off.cpp
new file mode 100644
index 0000000000000..38bd49fd68f82
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dword_atomic_cmpxchg_scalar_off.cpp
@@ -0,0 +1,28 @@
+//==-- dword_atomic_cmpxchg_scalar_off.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This macro enables only cmpxch tests. They may require more time to execute,
+// and have higher probablity to hit kernel execution time limit, so they are
+// separated.
+#define CMPXCHG_TEST
+
+// This macro enforces usage of dword atomics in the included test.
+#define USE_DWORD_ATOMICS
+// This macro enforces scalar offset variant of the test - uses scalar offsets.
+#define USE_SCALAR_OFFSET
+
+#include "lsc/atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/dword_atomic_smoke.cpp b/sycl/test-e2e/ESIMD/dword_atomic_smoke.cpp
new file mode 100644
index 0000000000000..b56d68e396908
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dword_atomic_smoke.cpp
@@ -0,0 +1,19 @@
+//==---------------- dword_atomic_smoke.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks DWORD atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This macro enforces usage of dword atomics in the included test.
+#define USE_DWORD_ATOMICS
+
+#include "lsc/atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/dword_atomic_smoke_scalar_off.cpp b/sycl/test-e2e/ESIMD/dword_atomic_smoke_scalar_off.cpp
new file mode 100644
index 0000000000000..51ed70ae061ae
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/dword_atomic_smoke_scalar_off.cpp
@@ -0,0 +1,23 @@
+//==--- dword_atomic_smoke_scalar_off.cpp  - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// scalar offset variant of the test - uses scalar offsets.
+
+#define USE_DWORD_ATOMICS
+#define USE_SCALAR_OFFSET
+
+#include "lsc/atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/esimd_check_vc_codegen.cpp b/sycl/test-e2e/ESIMD/esimd_check_vc_codegen.cpp
new file mode 100644
index 0000000000000..d5232916b6bf9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/esimd_check_vc_codegen.cpp
@@ -0,0 +1,105 @@
+//==-------- esimd_check_vc_codegen.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// esimd_emulator does not support online-compiler that invokes 'piProgramBuild'
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024 * 128;
+  constexpr unsigned VL = 16;
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    range<1> GlobalRange{Size / VL};
+
+    // We need that many threads in each group
+    range<1> LocalRange{1};
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class Test>(
+          GlobalRange * LocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            simd<float, VL> vb;
+            vb.copy_from(PB, offset);
+            simd<float, VL> vc = va + vb;
+            vc.copy_to(PC, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+// CHECK: ---> piProgramBuild(
+// CHECK: <const char *>: {{.*}}-vc-codegen
+// CHECK: ) ---> pi_result : PI_SUCCESS
diff --git a/sycl/test-e2e/ESIMD/esimd_test_utils.hpp b/sycl/test-e2e/ESIMD/esimd_test_utils.hpp
index 619a4aecaaab3..cef02d15b7b78 100644
--- a/sycl/test-e2e/ESIMD/esimd_test_utils.hpp
+++ b/sycl/test-e2e/ESIMD/esimd_test_utils.hpp
@@ -8,7 +8,7 @@
 
 #pragma once
 
-#include <sycl/ext/intel/experimental/esimd/tfloat32.hpp>
+#include <sycl/ext/intel/esimd.hpp>
 #include <sycl/sycl.hpp>
 #define NOMINMAX
 
@@ -277,7 +277,7 @@ void display_timing_stats(double const *kernelTime,
   std::cout << "[OverallTime][Primary]: " << overallTime << "\n";
 }
 
-// Get signed integer of given byte size.
+// Get signed integer of given byte size or 'void'.
 template <int N>
 using int_type_t = std::conditional_t<
     N == 1, int8_t,
@@ -286,6 +286,15 @@ using int_type_t = std::conditional_t<
         std::conditional_t<N == 4, int32_t,
                            std::conditional_t<N == 8, int64_t, void>>>>;
 
+// Get unsigned integer type of given byte size or 'void'.
+template <int N>
+using uint_type_t = std::conditional_t<
+    N == 1, uint8_t,
+    std::conditional_t<
+        N == 2, uint16_t,
+        std::conditional_t<N == 4, uint32_t,
+                           std::conditional_t<N == 8, uint64_t, void>>>>;
+
 enum class BinaryOp {
   add,
   sub,
@@ -578,4 +587,27 @@ TID(sycl::ext::intel::experimental::esimd::tfloat32)
 TID(float)
 TID(double)
 
+std::string toString(sycl::ext::intel::experimental::esimd::lsc_data_size DS) {
+  switch (DS) {
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::default_size:
+    return "lsc_data_size::default";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u8:
+    return "lsc_data_size::u8";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u16:
+    return "lsc_data_size::u16";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u32:
+    return "lsc_data_size::u32";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u64:
+    return "lsc_data_size::u64";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u8u32:
+    return "lsc_data_size::u8u32";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u16u32:
+    return "lsc_data_size::u16u32";
+  case sycl::ext::intel::experimental::esimd::lsc_data_size::u16u32h:
+    return "lsc_data_size::u16u32h";
+  }
+  assert(false && "Unknown lsc_data_size");
+  return "INVALID lsc_data_size";
+}
+
 } // namespace esimd_test
diff --git a/sycl/test-e2e/ESIMD/ext_math.cpp b/sycl/test-e2e/ESIMD/ext_math.cpp
new file mode 100644
index 0000000000000..5c2373d34a40d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/ext_math.cpp
@@ -0,0 +1,490 @@
+//==---------------- ext_math.cpp  - DPC++ ESIMD extended math test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks extended math operations. Combinations of
+// - argument type - half, float
+// - math function - sin, cos, ..., div_ieee, pow
+// - SYCL vs ESIMD APIs
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/builtins_esimd.hpp>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <cmath>
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+
+// --- Data initialization functions
+
+// Initialization data for trigonometric functions' input.
+// H/w supports only limited range of sin/cos arguments with decent accuracy:
+// absolute error <= 0.0008 for the range of +/- 32767*pi (+/- 102941).
+
+constexpr int accuracy_limit = 32767 * 3.14 - 1;
+
+template <class T> struct InitTrig {
+  void operator()(T *In, T *Out, size_t Size) const {
+    for (auto I = 0; I < Size; ++I) {
+      In[I] = (I + 1) % accuracy_limit;
+      Out[I] = (T)0;
+    }
+  }
+};
+
+template <class T> struct InitWide {
+  void operator()(T *In, T *Out, size_t Size) const {
+    for (auto I = 0; I < Size; ++I) {
+      In[I] = I + 1.0;
+      Out[I] = (T)0;
+    }
+  }
+};
+
+template <class T> struct InitNarrow {
+  void operator()(T *In, T *Out, size_t Size) const {
+    for (auto I = 0; I < Size; ++I) {
+      In[I] = 2.0f + 16.0f * ((T)I / (T)(Size - 1)); // in [2..18] range
+      Out[I] = (T)0;
+    }
+  }
+};
+
+template <class T> struct InitInRange0_5 {
+  void operator()(T *In, T *Out, size_t Size) const {
+    for (auto I = 0; I < Size; ++I) {
+      In[I] = 5.0f * ((T)I / (T)(Size - 1)); // in [0..5] range
+      Out[I] = (T)0;
+    }
+  }
+};
+
+template <class T> struct InitBin {
+  void operator()(T *In1, T *In2, T *Out, size_t Size) const {
+    for (auto I = 0; I < Size; ++I) {
+      In1[I] = I % 17 + 1;
+      In2[I] = 4.0f * ((T)I / (T)(Size - 1)); // in [0..4] range
+      Out[I] = (T)0;
+    }
+  }
+};
+
+// --- Math operation identification
+
+enum class MathOp {
+  sin,
+  cos,
+  exp,
+  sqrt,
+  sqrt_ieee,
+  inv,
+  log,
+  rsqrt,
+  floor,
+  ceil,
+  trunc,
+  exp2,
+  log2,
+  div_ieee,
+  pow
+};
+
+// --- Template functions calculating given math operation on host and device
+
+enum ArgKind {
+  AllVec,
+  AllSca,
+  Sca1Vec2,
+  Sca2Vec1
+};
+
+template <class T, int N, MathOp Op, int Args=AllVec> struct ESIMDf;
+template <class T, int N, MathOp Op, int Args=AllVec> struct BinESIMDf;
+template <class T, int N, MathOp Op, int Args=AllVec> struct SYCLf;
+
+template <class T, MathOp Op> struct HostFunc;
+
+#define DEFINE_HOST_OP(Op, HostOp)                                             \
+  template <class T> struct HostFunc<T, MathOp::Op> {                          \
+    T operator()(T X) { return HostOp; }                                       \
+  };
+
+DEFINE_HOST_OP(sin, std::sin(X));
+DEFINE_HOST_OP(cos, std::cos(X));
+DEFINE_HOST_OP(exp, std::exp(X));
+DEFINE_HOST_OP(log, std::log(X));
+DEFINE_HOST_OP(inv, 1.0f / X);
+DEFINE_HOST_OP(sqrt, std::sqrt(X));
+DEFINE_HOST_OP(sqrt_ieee, std::sqrt(X));
+DEFINE_HOST_OP(rsqrt, 1.0f / std::sqrt(X));
+DEFINE_HOST_OP(floor, std::floor(X));
+DEFINE_HOST_OP(ceil, std::ceil(X));
+DEFINE_HOST_OP(trunc, std::trunc(X));
+DEFINE_HOST_OP(exp2, std::exp2(X));
+DEFINE_HOST_OP(log2, std::log2(X));
+
+#define DEFINE_HOST_BIN_OP(Op, HostOp)                                         \
+  template <class T> struct HostFunc<T, MathOp::Op> {                          \
+    T operator()(T X, T Y) { return HostOp; }                                  \
+  };
+
+DEFINE_HOST_BIN_OP(div_ieee, X / Y);
+DEFINE_HOST_BIN_OP(pow, std::pow(X, Y));
+
+// --- Specializations per each extended math operation
+
+#define DEFINE_ESIMD_DEVICE_OP(Op)                                             \
+  template <class T, int N> struct ESIMDf<T, N, MathOp::Op, AllVec> {          \
+    esimd::simd<T, N>                                                          \
+    operator()(esimd::simd<T, N> X) const SYCL_ESIMD_FUNCTION {                \
+      return esimd::Op<T, N>(X);                                               \
+    }                                                                          \
+  };                                                                           \
+  template <class T, int N> struct ESIMDf<T, N, MathOp::Op, AllSca> {          \
+    esimd::simd<T, N> operator()(T X) const SYCL_ESIMD_FUNCTION {              \
+      return esimd::Op<T, N>(X);                                               \
+    }                                                                          \
+  };
+
+DEFINE_ESIMD_DEVICE_OP(sin);
+DEFINE_ESIMD_DEVICE_OP(cos);
+DEFINE_ESIMD_DEVICE_OP(exp);
+DEFINE_ESIMD_DEVICE_OP(log);
+DEFINE_ESIMD_DEVICE_OP(inv);
+DEFINE_ESIMD_DEVICE_OP(sqrt);
+DEFINE_ESIMD_DEVICE_OP(sqrt_ieee);
+DEFINE_ESIMD_DEVICE_OP(rsqrt);
+DEFINE_ESIMD_DEVICE_OP(floor);
+DEFINE_ESIMD_DEVICE_OP(ceil);
+DEFINE_ESIMD_DEVICE_OP(trunc);
+DEFINE_ESIMD_DEVICE_OP(exp2);
+DEFINE_ESIMD_DEVICE_OP(log2);
+
+#define DEFINE_ESIMD_DEVICE_BIN_OP(Op)                                         \
+  template <class T, int N> struct BinESIMDf<T, N, MathOp::Op, AllSca> {       \
+    esimd::simd<T, N> operator()(T X, T Y) const SYCL_ESIMD_FUNCTION {         \
+      return esimd::Op<T, N>(X, Y);                                            \
+    }                                                                          \
+  };                                                                           \
+  template <class T, int N> struct BinESIMDf<T, N, MathOp::Op, AllVec> {       \
+    esimd::simd<T, N>                                                          \
+    operator()(esimd::simd<T, N> X,                                            \
+               esimd::simd<T, N> Y) const SYCL_ESIMD_FUNCTION {                \
+      return esimd::Op<T, N>(X, Y);                                            \
+    }                                                                          \
+  };                                                                           \
+  template <class T, int N> struct BinESIMDf<T, N, MathOp::Op, Sca1Vec2> {     \
+    esimd::simd<T, N>                                                          \
+    operator()(T X, esimd::simd<T, N> Y) const SYCL_ESIMD_FUNCTION {           \
+      return esimd::Op<T, N>(X, Y);                                            \
+    }                                                                          \
+  };                                                                           \
+  template <class T, int N> struct BinESIMDf<T, N, MathOp::Op, Sca2Vec1> {     \
+    esimd::simd<T, N> operator()(esimd::simd<T, N> X,                          \
+                                 T Y) const SYCL_ESIMD_FUNCTION {              \
+      return esimd::Op<T, N>(X, Y);                                            \
+    }                                                                          \
+  };
+
+DEFINE_ESIMD_DEVICE_BIN_OP(div_ieee);
+DEFINE_ESIMD_DEVICE_BIN_OP(pow);
+
+#define DEFINE_SYCL_DEVICE_OP(Op)                                              \
+  template <class T, int N> struct SYCLf<T, N, MathOp::Op, AllVec> {           \
+    esimd::simd<T, N>                                                          \
+    operator()(esimd::simd<T, N> X) const SYCL_ESIMD_FUNCTION {                \
+      /* T must be float for SYCL, so not a template parameter for sycl::Op*/  \
+      return sycl::Op<N>(X);                                                   \
+    }                                                                          \
+  };                                                                           \
+  template <class T, int N> struct SYCLf<T, N, MathOp::Op, AllSca> {           \
+    esimd::simd<T, N> operator()(T X) const SYCL_ESIMD_FUNCTION {              \
+      return sycl::Op<N>(X);                                                   \
+    }                                                                          \
+  };
+
+DEFINE_SYCL_DEVICE_OP(sin);
+DEFINE_SYCL_DEVICE_OP(cos);
+DEFINE_SYCL_DEVICE_OP(exp);
+DEFINE_SYCL_DEVICE_OP(log);
+
+// --- Generic kernel calculating an extended math operation on array elements
+
+template <class T, int N, MathOp Op,
+          template <class, int, MathOp, int> class Kernel, typename AccIn,
+          typename AccOut>
+struct UnaryDeviceFunc {
+  AccIn In;
+  AccOut Out;
+
+  UnaryDeviceFunc(AccIn &In, AccOut &Out) : In(In), Out(Out) {}
+
+  void operator()(id<1> I) const SYCL_ESIMD_KERNEL {
+    unsigned int Offset = I * N * sizeof(T);
+    esimd::simd<T, N> Vx;
+    Vx.copy_from(In, Offset);
+
+    if (I.get(0) % 2 == 0) {
+      for (int J = 0; J < N; J++) {
+        Kernel<T, N, Op, AllSca> DevF{};
+        T Val = Vx[J];
+        esimd::simd<T, N> V = DevF(Val); // scalar arg
+        Vx[J] = V[J];
+      }
+    } else {
+      Kernel<T, N, Op, AllVec> DevF{};
+      Vx = DevF(Vx); // vector arg
+    }
+    Vx.copy_to(Out, Offset);
+  };
+};
+
+template <class T, int N, MathOp Op,
+          template <class, int, MathOp, int> class Kernel, typename AccIn,
+          typename AccOut>
+struct BinaryDeviceFunc {
+  AccIn In1;
+  AccIn In2;
+  AccOut Out;
+
+  BinaryDeviceFunc(AccIn &In1, AccIn &In2, AccOut &Out)
+      : In1(In1), In2(In2), Out(Out) {}
+
+  void operator()(id<1> I) const SYCL_ESIMD_KERNEL {
+    unsigned int Offset = I * N * sizeof(T);
+    esimd::simd<T, N> V1(In1, Offset);
+    esimd::simd<T, N> V2(In2, Offset);
+    esimd::simd<T, N> V;
+
+    if (I.get(0) % 2 == 0) {
+      int Ind = 0;
+      {
+        Kernel<T, N, Op, AllSca> DevF{};
+        T Val2 = V2[Ind];
+        esimd::simd<T, N> Vv = DevF(V1[Ind], Val2); // both arguments are scalar
+        V[Ind] = Vv[Ind];
+      }
+      Ind++;
+      {
+        Kernel<T, N, Op, Sca1Vec2> DevF{};
+        T Val1 = V1[Ind];
+        esimd::simd<T, N> Vv = DevF(Val1, V2); // scalar, vector
+        V[Ind] = Vv[Ind];
+      }
+      Ind++;
+      {
+        for (int J = Ind; J < N; ++J) {
+          Kernel<T, N, Op, Sca2Vec1> DevF{};
+          T Val2 = V2[J];
+          esimd::simd<T, N> Vv = DevF(V1, Val2); // scalar 2nd arg
+          V[J] = Vv[J];
+        }
+      }
+    } else {
+      Kernel<T, N, Op, AllVec> DevF{};
+      V = DevF(V1, V2); // vec 2nd arg
+    }
+    V.copy_to(Out, Offset);
+  };
+};
+
+// --- Generic test function for an extended math operation
+
+template <class T, int N, MathOp Op,
+          template <class, int, MathOp, int> class Kernel,
+          typename InitF = InitNarrow<T>>
+bool test(queue &Q, const std::string &Name,
+          InitF Init = InitNarrow<T>{}, float delta = 0.0f) {
+
+  constexpr size_t Size = 1024 * 128;
+  constexpr bool IsBinOp = (Op == MathOp::div_ieee) || (Op == MathOp::pow);
+
+  T *A = new T[Size];
+  T *B = new T[Size];
+  T *C = new T[Size];
+  if constexpr (IsBinOp) {
+    Init(A, B, C, Size);
+  } else {
+    Init(A, B, Size);
+  }
+  const char *kind =
+    std::is_same_v<Kernel<T, N, Op, AllVec>, ESIMDf<T, N, Op, AllVec>>
+                         ? "ESIMD"
+                         : "SYCL";
+  std::cout << "  " << Name << " test, kind=" << kind << "...\n";
+
+  try {
+    buffer<T, 1> BufA(A, range<1>(Size));
+    buffer<T, 1> BufB(B, range<1>(Size));
+    buffer<T, 1> BufC(C, range<1>(Size));
+
+    // number of workgroups
+    sycl::range<1> GlobalRange{Size / N};
+
+    // threads (workitems) in each workgroup
+    sycl::range<1> LocalRange{1};
+
+    auto E = Q.submit([&](handler &CGH) {
+      auto PA = BufA.template get_access<access::mode::read>(CGH);
+      auto PC = BufC.template get_access<access::mode::write>(CGH);
+      if constexpr (IsBinOp) {
+        auto PB = BufB.template get_access<access::mode::read>(CGH);
+        BinaryDeviceFunc<T, N, Op, Kernel, decltype(PA), decltype(PC)> F(
+            PA, PB, PC);
+        CGH.parallel_for(nd_range<1>{GlobalRange, LocalRange}, F);
+      } else {
+        UnaryDeviceFunc<T, N, Op, Kernel, decltype(PA), decltype(PC)> F(PA,
+                                                                        PC);
+        CGH.parallel_for(nd_range<1>{GlobalRange, LocalRange}, F);
+      }
+    });
+    E.wait();
+  } catch (sycl::exception &Exc) {
+    std::cout << "    *** ERROR. SYCL exception caught: << " << Exc.what()
+              << "\n";
+    return false;
+  }
+
+  int ErrCnt = 0;
+
+  for (unsigned I = 0; I < Size; ++I) {
+    T Gold;
+
+    if constexpr (IsBinOp) {
+      Gold = HostFunc<T, Op>{}((T)A[I], (T)B[I]);
+    } else {
+      Gold = HostFunc<T, Op>{}((T)A[I]);
+    }
+    T Test = C[I];
+
+    if (delta == 0.0f) {
+      delta = sizeof(T) > 2 ? 0.0001 : 0.01;
+    }
+
+    if (abs(Test - Gold) > delta) {
+      if (++ErrCnt < 10) {
+        std::cout << "    failed at index " << I << ", " << Test
+                  << " != " << Gold << " (gold)\n";
+      }
+    }
+  }
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  if (ErrCnt > 0) {
+    std::cout << "    pass rate: "
+              << ((float)(Size - ErrCnt) / (float)Size) * 100.0f << "% ("
+              << (Size - ErrCnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (ErrCnt > 0 ? "    FAILED\n" : "    Passed\n");
+  return ErrCnt == 0;
+}
+
+// --- Tests all extended math operations with given vector length
+
+template <class T, int N> bool testESIMD(queue &Q) {
+  bool Pass = true;
+
+  std::cout << "--- TESTING ESIMD functions, T=" << typeid(T).name()
+            << ", N = " << N << "...\n";
+
+  Pass &= test<T, N, MathOp::sqrt, ESIMDf>(Q, "sqrt", InitWide<T>{});
+  Pass &= test<T, N, MathOp::inv, ESIMDf>(Q, "inv");
+  Pass &= test<T, N, MathOp::rsqrt, ESIMDf>(Q, "rsqrt");
+  Pass &= test<T, N, MathOp::sin, ESIMDf>(Q, "sin", InitTrig<T>{});
+  Pass &= test<T, N, MathOp::cos, ESIMDf>(Q, "cos", InitTrig<T>{});
+  Pass &= test<T, N, MathOp::exp, ESIMDf>(Q, "exp", InitInRange0_5<T>{});
+  Pass &= test<T, N, MathOp::log, ESIMDf>(Q, "log", InitWide<T>{});
+  Pass &= test<T, N, MathOp::exp2, ESIMDf>(Q, "exp2", InitInRange0_5<T>{});
+  Pass &= test<T, N, MathOp::log2, ESIMDf>(Q, "log2", InitWide<T>{});
+  Pass &= test<T, N, MathOp::floor, ESIMDf>(Q, "floor", InitWide<T>{});
+  Pass &= test<T, N, MathOp::ceil, ESIMDf>(Q, "ceil", InitWide<T>{});
+  Pass &= test<T, N, MathOp::trunc, ESIMDf>(Q, "trunc", InitWide<T>{});
+  return Pass;
+}
+
+template <class T, int N> bool testESIMDSqrtIEEE(queue &Q) {
+  bool Pass = true;
+  std::cout << "--- TESTING ESIMD sqrt_ieee, T=" << typeid(T).name()
+            << ", N = " << N << "...\n";
+  Pass &= test<T, N, MathOp::sqrt_ieee, ESIMDf>(Q, "sqrt_ieee", InitWide<T>{});
+  return Pass;
+}
+
+template <class T, int N> bool testESIMDDivIEEE(queue &Q) {
+  bool Pass = true;
+  std::cout << "--- TESTING ESIMD div_ieee, T=" << typeid(T).name()
+            << ", N = " << N << "...\n";
+  Pass &= test<T, N, MathOp::div_ieee, BinESIMDf>(Q, "div_ieee", InitBin<T>{});
+  return Pass;
+}
+
+template <class T, int N> bool testESIMDPow(queue &Q) {
+  bool Pass = true;
+  std::cout << "--- TESTING ESIMD pow, T=" << typeid(T).name()
+            << ", N = " << N << "...\n";
+  Pass &= test<T, N, MathOp::pow, BinESIMDf>(
+      Q, "pow", InitBin<T>{}, 0.1);
+  return Pass;
+}
+
+template <class T, int N> bool testSYCL(queue &Q) {
+  bool Pass = true;
+  // TODO SYCL currently supports only these 4 functions, extend the test when
+  // more are available.
+  std::cout << "--- TESTING SYCL functions, T=" << typeid(T).name()
+            << ", N = " << N << "...\n";
+  // SYCL functions will have good accuracy for any argument, unlike bare h/w
+  // ESIMD versions, so init with "wide" data set.
+  Pass &= test<T, N, MathOp::sin, SYCLf>(Q, "sin", InitWide<T>{});
+  Pass &= test<T, N, MathOp::cos, SYCLf>(Q, "cos", InitWide<T>{});
+  Pass &= test<T, N, MathOp::exp, SYCLf>(Q, "exp", InitInRange0_5<T>{});
+  Pass &= test<T, N, MathOp::log, SYCLf>(Q, "log", InitWide<T>{});
+  return Pass;
+}
+
+// --- The entry point
+
+int main(void) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool Pass = true;
+#ifdef TEST_IEEE_DIV_REM
+  Pass &= testESIMDSqrtIEEE<float, 16>(Q);
+  Pass &= testESIMDDivIEEE<float, 8>(Q);
+  if (Dev.has(sycl::aspect::fp64)) {
+    Pass &= testESIMDSqrtIEEE<double, 32>(Q);
+    Pass &= testESIMDDivIEEE<double, 32>(Q);
+  }
+#else  // !TEST_IEEE_DIV_REM
+  Pass &= testESIMD<half, 8>(Q);
+  Pass &= testESIMD<float, 16>(Q);
+  Pass &= testESIMD<float, 32>(Q);
+  if (Q.get_backend() != sycl::backend::ext_intel_esimd_emulator) {
+    // ESIMD_EMULATOR supports only ESIMD kernels
+    Pass &= testSYCL<float, 8>(Q);
+    Pass &= testSYCL<float, 32>(Q);
+  }
+  Pass &= testESIMDPow<float, 8>(Q);
+  Pass &= testESIMDPow<half, 32>(Q);
+#endif // !TEST_IEEE_DIV_REM
+  std::cout << (Pass ? "Test Passed\n" : "Test FAILED\n");
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/ext_math_ieee_sqrt_div.cpp b/sycl/test-e2e/ESIMD/ext_math_ieee_sqrt_div.cpp
new file mode 100644
index 0000000000000..29509dae17017
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/ext_math_ieee_sqrt_div.cpp
@@ -0,0 +1,16 @@
+//==-- ext_math_ieee_qsrt_div.cpp  - DPC++ ESIMD ieee sqrt/div  test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-gen9 || gpu-intel-dg2 || gpu-intel-pvc || esimd_emulator
+
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks ieee_sqrt() and ieee_sqrt() with float and double types.
+
+#define TEST_IEEE_DIV_REM 1
+#include "ext_math.cpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/Inputs/fp_args_size_common.hpp b/sycl/test-e2e/ESIMD/fp_args_size/Inputs/fp_args_size_common.hpp
new file mode 100644
index 0000000000000..242a44cfe90c2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/Inputs/fp_args_size_common.hpp
@@ -0,0 +1,108 @@
+//==------- fp_args_size_common.hpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks that ESIMD kernels support use of function pointers from main
+// function with different total arguments size and retval size.
+// Cases:
+//   Total arguments size < %arg register size (32 GRFs)
+//   Total arguments size == %arg register size
+//   Total arguments size > %arg register size (i.e. stack mem is required)
+//   Return value size < %retval register size (12 GRFs)
+//   Return value size == %retval register size
+//   Return value size > %retval register size
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+static_assert(SIZE >= VL, "Size must greater than or equal to VL");
+static_assert(SIZE % VL == 0, "Size must be multiple of VL");
+constexpr unsigned ROWS = SIZE / VL;
+
+using namespace sycl;
+
+class KernelID;
+
+template <typename TA, typename TB, typename TC>
+ESIMD_NOINLINE TC add(TA A, TB B) {
+  return (TC)A + (TC)B;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  a_data_t *A = sycl::malloc_shared<a_data_t>(SIZE, q);
+  for (int i = 0; i < SIZE; i++)
+    A[i] = (a_data_t)1;
+
+  b_data_t *B = sycl::malloc_shared<b_data_t>(SIZE, q);
+  for (int i = 0; i < SIZE; i++)
+    B[i] = (b_data_t)i;
+
+  c_data_t *C = sycl::malloc_shared<c_data_t>(SIZE, q);
+  memset(C, 0, SIZE * sizeof(c_data_t));
+
+  try {
+    auto qq = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID>(
+          sycl::range<1>{1}, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+
+            simd<a_data_t, SIZE> va(0);
+            simd<b_data_t, SIZE> vb(0);
+            for (int j = 0; j < ROWS; j++) {
+              simd<a_data_t, VL> a_data;
+              a_data.copy_from(A + j * VL);
+              va.select<VL, 1>(j * VL) = a_data;
+              simd<b_data_t, VL> b_data;
+              b_data.copy_from(B + j * VL);
+              vb.select<VL, 1>(j * VL) = b_data;
+            }
+
+            auto foo = &add<simd<a_data_t, SIZE>, simd<b_data_t, SIZE>,
+                            simd<c_data_t, SIZE>>;
+            auto vc = foo(va, vb);
+
+            for (int j = 0; j < ROWS; j++) {
+              simd<c_data_t, VL> vals = vc.select<VL, 1>(j * VL);
+              vals.copy_to(C + j * VL);
+            }
+          });
+    });
+
+    qq.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+    return 1;
+  }
+
+  unsigned err_cnt = 0;
+  for (int i = 0; i < SIZE; i++)
+    if (C[i] != A[i] + B[i])
+      err_cnt++;
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  if (err_cnt > 0) {
+    std::cout << "FAILED" << std::endl;
+    return 1;
+  }
+
+  std::cout << "passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_192.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_192.cpp
new file mode 100644
index 0000000000000..779cdc01c7747
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_192.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_192.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 192;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_256.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_256.cpp
new file mode 100644
index 0000000000000..98a650e80c636
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_256.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_256.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 256;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_512.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_512.cpp
new file mode 100644
index 0000000000000..800405d0059d4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_512.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_512.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 512;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_64.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_64.cpp
new file mode 100644
index 0000000000000..d408406154db0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_64.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_64.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 64;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_96.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_96.cpp
new file mode 100644
index 0000000000000..e14a029bd7cc0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_char_int_size_96.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_96.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 96;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_192.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_192.cpp
new file mode 100644
index 0000000000000..4b46c33d4eeed
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_192.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_192.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 192;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_256.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_256.cpp
new file mode 100644
index 0000000000000..c3c40ba0225e6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_256.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_256.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 256;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_512.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_512.cpp
new file mode 100644
index 0000000000000..8b736504182ae
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_512.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_512.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 512;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_64.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_64.cpp
new file mode 100644
index 0000000000000..effe03f24c683
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_64.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_64.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 64;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_96.cpp b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_96.cpp
new file mode 100644
index 0000000000000..95c258d612bf1
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_args_size/fp_args_int_size_96.cpp
@@ -0,0 +1,23 @@
+//==------- fp_args_char_int_size_96.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 96;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/fp_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/fp_call_from_func.cpp b/sycl/test-e2e/ESIMD/fp_call_from_func.cpp
new file mode 100644
index 0000000000000..cfaadd17ec963
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_call_from_func.cpp
@@ -0,0 +1,74 @@
+//==--------------- fp_call_from_func.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// Issue #163 Test timeouts on Windows and Linux
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+//
+// The test hangs after driver update to 21.23.20043
+// REQUIRES: TEMPORARY_DISABLE
+//
+// The test checks that ESIMD kernels support use of function pointers from
+// within other functions.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class KernelID;
+
+ESIMD_NOINLINE int add(int A, int B) { return A + B; }
+
+template <typename AccTy> ESIMD_NOINLINE void test(AccTy acc, int A, int B) {
+  using namespace sycl::ext::intel::esimd;
+
+  auto foo = &add;
+  auto res = foo(A, B);
+
+  scalar_store(acc, 0, res);
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  int result = 0;
+  int *output = &result;
+
+  int in1 = 100;
+  int in2 = 233;
+
+  try {
+    buffer<int, 1> buf(output, range<1>(1));
+
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<KernelID>(
+          sycl::range<1>{1},
+          [=](id<1> i) SYCL_ESIMD_KERNEL { test(acc, in1, in2); });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  }
+
+  if (result != (in1 + in2)) {
+    std::cout << "Failed with result: " << result << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/fp_call_recursive.cpp b/sycl/test-e2e/ESIMD/fp_call_recursive.cpp
new file mode 100644
index 0000000000000..fc3a62adf7543
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_call_recursive.cpp
@@ -0,0 +1,86 @@
+//==--------------- fp_call_recursive.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// Recursion is not supported in ESIMD (intel/llvm PR#3390)
+// REQUIRES: TEMPORARY_DISBLED
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that ESIMD kernels support use of function pointers
+// recursively.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class KernelID;
+
+ESIMD_NOINLINE unsigned add(unsigned A, unsigned B, unsigned C) {
+  if (B == 0)
+    return A;
+
+  auto foo = &add;
+  return (B % C == 0) ? foo(A + 1, B - 1, C) : foo(A - C, B - 2, C);
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  unsigned result = 0;
+  unsigned *output = &result;
+
+  unsigned in1 = 233;
+  unsigned in2 = 21;
+  unsigned in3 = 3;
+
+  try {
+    buffer<unsigned, 1> buf(output, range<1>(1));
+
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<KernelID>(sycl::range<1>{1},
+                                 [=](id<1> i) SYCL_ESIMD_KERNEL {
+                                   using namespace sycl::ext::intel::esimd;
+
+                                   auto foo = &add;
+                                   auto res = foo(in1, in2, in3);
+
+                                   scalar_store(acc, 0, res);
+                                 });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  }
+
+  int etalon = in1;
+  while (in2 > 0) {
+    if (in2 % in3 == 0) {
+      etalon += 1;
+      in2 -= 1;
+    } else {
+      etalon -= in3;
+      in2 -= 2;
+    }
+  }
+
+  if (result != etalon) {
+    std::cout << "Failed with result: " << result << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/fp_in_phi.cpp b/sycl/test-e2e/ESIMD/fp_in_phi.cpp
new file mode 100644
index 0000000000000..eb55b298b4f94
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_in_phi.cpp
@@ -0,0 +1,96 @@
+//==--------------- fp_in_phi.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// On Windows vector compute backend (as a part of IGC) uses llvm-7 and llvm-7
+// based spirv translator. This test should start working on Windows when the
+// llvm version is switched to 9.
+// UNSUPPORTED: windows
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// UNSUPPORTED: ze_debug-1,ze_debug4
+//
+// The test checks that ESIMD kernels correctly handle function pointers as
+// arguments of LLVM's PHI function.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <vector>
+
+class KernelID;
+
+ESIMD_NOINLINE int f1(int x) { return x + 1; }
+
+ESIMD_NOINLINE int f2(int x) { return x + 2; }
+
+ESIMD_NOINLINE int f3(int x) { return x + 3; }
+
+bool test(queue q, bool flag) {
+  int result = 0;
+  int *output = &result;
+
+  std::vector<int> Y = {0, 1};
+
+  int in1 = 233;
+  int in2 = 1;
+
+  try {
+    buffer<int, 1> o_buf(output, range<1>(1));
+    buffer<int, 1> y_buf(Y.data(), Y.size());
+
+    q.submit([&](handler &cgh) {
+      auto o_acc = o_buf.get_access<access::mode::write>(cgh);
+      auto y_acc = y_buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<KernelID>(sycl::range<1>{1},
+                                 [=](id<1> i) SYCL_ESIMD_KERNEL {
+                                   using namespace sycl::ext::intel::esimd;
+                                   using f = int (*)(int);
+
+                                   f a[] = {f1, f2};
+                                   if (flag) {
+                                     a[0] = f3;
+                                     scalar_store(y_acc, 0, 2);
+                                   }
+
+                                   auto res = a[0](in1) + a[1](in2);
+
+                                   scalar_store(o_acc, 0, res);
+                                 });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return false;
+  }
+
+  int etalon = in1 + (flag ? 3 : 1) + in2 + 2;
+
+  if (result != etalon) {
+    std::cout << "Failed with result: " << result << std::endl;
+    return false;
+  }
+
+  return true;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+  passed &= test(q, true);
+  passed &= test(q, false);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/fp_in_select.cpp b/sycl/test-e2e/ESIMD/fp_in_select.cpp
new file mode 100644
index 0000000000000..e0f54db788589
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/fp_in_select.cpp
@@ -0,0 +1,84 @@
+//==--------------- fp_in_select.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// On Windows vector compute backend (as a part of IGC) uses llvm-7 and llvm-7
+// based spirv translator. This test should start working on Windows when the
+// llvm version is switched to 9.
+// UNSUPPORTED: windows
+// RUN: %clangxx -Xclang -fsycl-allow-func-ptr -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// The test fails on JITing due to use of too many registers
+// REQUIRES: TEMPORARY_DISBLED
+//
+// The test checks that ESIMD kernels correctly handle function pointers as
+// arguments of LLVM's select function.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class KernelID;
+
+ESIMD_NOINLINE int add(int a, int b) { return a + b; }
+
+ESIMD_NOINLINE int sub(int a, int b) { return a - b; }
+
+bool test(queue q, bool flag) {
+  int result = 0;
+  int *output = &result;
+
+  int in1 = 233;
+  int in2 = 100;
+
+  try {
+    buffer<int, 1> buf(output, range<1>(1));
+
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<KernelID>(sycl::range<1>{1},
+                                 [=](id<1> i) SYCL_ESIMD_KERNEL {
+                                   using namespace sycl::ext::intel::esimd;
+
+                                   auto foo = flag ? &add : &sub;
+                                   auto res = foo(in1, in2);
+
+                                   scalar_store(acc, 0, res);
+                                 });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return false;
+  }
+
+  int etalon = flag ? in1 + in2 : in1 - in2;
+
+  if (result != etalon) {
+    std::cout << "Failed with result: " << result << std::endl;
+    return false;
+  }
+
+  return true;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+  passed &= test(q, true);
+  passed &= test(q, false);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/hardware_dispatch.cpp b/sycl/test-e2e/ESIMD/hardware_dispatch.cpp
new file mode 100644
index 0000000000000..12586593c22fd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/hardware_dispatch.cpp
@@ -0,0 +1,81 @@
+//==---------------- hardware_dispatch.cpp  - ESIMD hardware dispatch test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl -fsycl-targets=intel_gpu_bdw %s -o %t.out
+// RUN: %t.out
+// TODO: remove XFAIL when the fix in GPU RT is pulled into CI
+// XFAIL: *
+// This is basic test to test hardware dispatch functionality with ESIMD.
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/esimd/simd.hpp>
+#include <sycl/ext/oneapi/experimental/device_architecture.hpp>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using shared_allocator = sycl::usm_allocator<int32_t, sycl::usm::alloc::shared>;
+using shared_vector = std::vector<int32_t, shared_allocator>;
+using namespace sycl::ext::intel::esimd;
+
+int main() {
+  sycl::queue q;
+  shared_allocator allocator(q);
+
+  shared_vector vec(4, allocator);
+  {
+    q.submit([&](sycl::handler &cgh) {
+      int *output_ptr = vec.data();
+      cgh.single_task<class test1>([=]() SYCL_ESIMD_KERNEL {
+        simd<int, 4> result;
+
+        // test if_architecture_is
+        sycl::ext::oneapi::experimental::if_architecture_is<
+            sycl::ext::oneapi::experimental::architecture::intel_gpu_bdw>(
+            [&]() { result[0] = 1; })
+            .otherwise([&]() { result[0] = 0; });
+
+        // test else_if_architecture_is
+        sycl::ext::oneapi::experimental::if_architecture_is<
+            sycl::ext::oneapi::experimental::architecture::intel_gpu_dg1>(
+            [&]() { result[1] = 0; })
+            .else_if_architecture_is<
+                sycl::ext::oneapi::experimental::architecture::intel_gpu_bdw>(
+                [&]() { result[1] = 2; })
+            .otherwise([&]() { result[1] = 0; });
+
+        // test otherwise
+        sycl::ext::oneapi::experimental::if_architecture_is<
+            sycl::ext::oneapi::experimental::architecture::intel_gpu_dg1>(
+            [&]() { result[2] = 0; })
+            .otherwise([&]() { result[2] = 3; });
+
+        // test more than one architecture template parameter is passed to
+        // if_architecture_is
+        sycl::ext::oneapi::experimental::if_architecture_is<
+            sycl::ext::oneapi::experimental::architecture::intel_gpu_dg1,
+            sycl::ext::oneapi::experimental::architecture::intel_gpu_bdw>(
+            [&]() { result[3] = 4; })
+            .otherwise([&]() { result[3] = 0; });
+        result.copy_to(output_ptr);
+      });
+    });
+  }
+  q.wait();
+
+  for (int i = 0; i < 4; ++i) {
+    if (vec[i] != i + 1) {
+      std::cout << "Test failed for index " << i << std::endl;
+      return 1;
+    }
+  }
+  std::cout << "Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/histogram.cpp b/sycl/test-e2e/ESIMD/histogram.cpp
new file mode 100644
index 0000000000000..0931d41f5ae91
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram.cpp
@@ -0,0 +1,264 @@
+//==---------------- histogram.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <array>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#define NUM_BINS 256
+#define IMG_WIDTH 1024
+#define IMG_HEIGHT 1024
+//
+// each parallel_for handles 64x32 bytes
+//
+#define BLOCK_WIDTH 32
+#define BLOCK_HEIGHT 64
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+void histogram_CPU(unsigned int width, unsigned int height, unsigned char *srcY,
+                   unsigned int *cpuHistogram) {
+  int i;
+  for (i = 0; i < width * height; i++) {
+    cpuHistogram[srcY[i]] += 1;
+  }
+}
+
+void writeHist(unsigned int *hist) {
+  int total = 0;
+
+  // std::cerr << "\nHistogram: \n";
+  for (int i = 0; i < NUM_BINS; i += 8) {
+    // std::cerr << "\n  [" << i << " - " << i + 7 << "]:";
+    for (int j = 0; j < 8; j++) {
+      // std::cerr << "\t" << hist[i + j];
+      total += hist[i + j];
+    }
+  }
+  std::cerr << "\nTotal = " << total << " \n";
+}
+
+int checkHistogram(unsigned int *refHistogram, unsigned int *hist) {
+
+  for (int i = 0; i < NUM_BINS; i++) {
+    if (refHistogram[i] != hist[i]) {
+      return 0;
+    }
+  }
+  return 1;
+}
+
+int main(int argc, char *argv[]) {
+
+  const char *input_file = nullptr;
+  unsigned int width = IMG_WIDTH * sizeof(unsigned int);
+  unsigned int height = IMG_HEIGHT;
+
+  if (argc == 2) {
+    input_file = argv[1];
+  } else {
+    std::cerr << "Usage: Histogram.exe input_file" << std::endl;
+    std::cerr << "No input file specificed. Use default random value ...."
+              << std::endl;
+  }
+
+  // ------------------------------------------------------------------------
+  // Read in image luma plane
+
+  // Allocate Input Buffer
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  unsigned char *srcY = malloc_shared<unsigned char>(width * height, q);
+  if (srcY == NULL) {
+    std::cerr << "Out of memory\n";
+    exit(1);
+  }
+  unsigned int *bins = malloc_shared<unsigned int>(NUM_BINS, q);
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  uint range_width = width / BLOCK_WIDTH;
+  uint range_height = height / BLOCK_HEIGHT;
+
+  // Initializes input.
+  unsigned int input_size = width * height;
+  std::cerr << "Processing inputs\n";
+
+  if (input_file != nullptr) {
+    FILE *f = fopen(input_file, "rb");
+    if (f == NULL) {
+      std::cerr << "Error opening file " << input_file;
+      free(srcY, q);
+      free(bins, q);
+      std::exit(1);
+    }
+
+    unsigned int cnt = fread(srcY, sizeof(unsigned char), input_size, f);
+    if (cnt != input_size) {
+      std::cerr << "Error reading input from " << input_file;
+      free(srcY, q);
+      free(bins, q);
+      std::exit(1);
+    }
+  } else {
+    srand(2009);
+    for (int i = 0; i < input_size; ++i) {
+      srcY[i] = rand() % 256;
+    }
+  }
+
+  // ------------------------------------------------------------------------
+  // CPU Execution:
+
+  unsigned int cpuHistogram[NUM_BINS];
+  memset(cpuHistogram, 0, sizeof(cpuHistogram));
+  histogram_CPU(width, height, srcY, cpuHistogram);
+
+  sycl::image<2> Img(srcY, image_channel_order::rgba,
+                     image_channel_type::unsigned_int32,
+                     range<2>{width / sizeof(uint4), height});
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  // Launches the task on the GPU.
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      double etime = 0;
+      for (int b = 0; b < NUM_BINS; b++)
+        bins[b] = 0;
+      // create ranges
+      // We need that many workitems
+      auto GlobalRange = range<1>(range_width * range_height);
+      // Number of workitems in a workgroup
+      auto LocalRange = range<1>(1);
+      nd_range<1> Range(GlobalRange, LocalRange);
+
+      auto e = q.submit([&](handler &cgh) {
+        auto readAcc = Img.get_access<uint4, access::mode::read>(cgh);
+
+        cgh.parallel_for<class Hist>(
+            Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+
+              // Get thread origin offsets
+              uint tid = ndi.get_group(0);
+              uint h_pos = (tid % range_width) * BLOCK_WIDTH;
+              uint v_pos = (tid / range_width) * BLOCK_HEIGHT;
+
+              // Declare a 8x32 uchar matrix to store the input block pixel
+              // value
+              simd<unsigned char, 8 * 32> in;
+
+              // Declare a vector to store the local histogram
+              simd<unsigned int, NUM_BINS> histogram(0);
+
+              // Each thread handles BLOCK_HEIGHTxBLOCK_WIDTH pixel block
+              for (int y = 0; y < BLOCK_HEIGHT / 8; y++) {
+                // Perform 2D media block read to load 8x32 pixel block
+                in = media_block_load<unsigned char, 8, 32>(readAcc, h_pos,
+                                                            v_pos);
+
+            // Accumulate local histogram for each pixel value
+#pragma unroll
+                for (int i = 0; i < 8; i++) {
+#pragma unroll
+                  for (int j = 0; j < 32; j++) {
+                    histogram.select<1, 1>(in[i * 32 + j]) += 1;
+                  }
+                }
+
+                // Update starting offset for the next work block
+                v_pos += 8;
+              }
+
+              // Declare a vector to store the offset for atomic write operation
+              simd<Toffset, 8> offset(0, 1); // init to 0, 1, 2, ..., 7
+              offset *= sizeof(unsigned int);
+
+          // Update global sum by atomically adding each local histogram
+#pragma unroll
+              for (int i = 0; i < NUM_BINS; i += 8) {
+                // Declare a vector to store the source for atomic write
+                // operation
+                simd<unsigned int, 8> src;
+                src = histogram.select<8, 1>(i);
+
+#ifdef __SYCL_DEVICE_ONLY__
+                atomic_update<atomic_op::add, unsigned int, 8>(bins, offset,
+                                                               src, 1);
+                offset += 8 * sizeof(unsigned int);
+#else
+                simd<unsigned int, 8> vals;
+                vals.copy_from(bins + i);
+                vals = vals + src;
+                vals.copy_to(bins + i);
+#endif
+              }
+            });
+      });
+      e.wait();
+      if (profiling) {
+        etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+    // SYCL will enqueue and run the kernel. Recall that the buffer's data is
+    // given back to the host at the end of scope.
+    // make sure data is given back to the host at the end of this scope
+  } catch (sycl::exception const &e) {
+    std::cerr << "SYCL exception caught: " << e.what() << '\n';
+    free(srcY, q);
+    free(bins, q);
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  writeHist(bins);
+  writeHist(cpuHistogram);
+  // Checking Histogram
+  bool Success = checkHistogram(cpuHistogram, bins);
+  free(srcY, q);
+  free(bins, q);
+
+  if (!Success) {
+    std::cerr << "FAILED\n";
+    return 1;
+  }
+  std::cout << "PASSED\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/histogram_256_slm.cpp b/sycl/test-e2e/ESIMD/histogram_256_slm.cpp
new file mode 100644
index 0000000000000..dd015888cb122
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram_256_slm.cpp
@@ -0,0 +1,213 @@
+//==--------------- histogram_256_slm.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+static constexpr int NUM_BINS = 256;
+static constexpr int SLM_SIZE = (NUM_BINS * 4);
+static constexpr int BLOCK_WIDTH = 32;
+static constexpr int NUM_BLOCKS = 32;
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+// Histogram kernel: computes the distribution of pixel intensities
+ESIMD_INLINE void histogram_atomic(const uint32_t *input_ptr, uint32_t *output,
+                                   uint32_t gid, uint32_t lid,
+                                   uint32_t local_size) {
+  // Declare and initialize SLM
+  slm_init<SLM_SIZE>();
+  uint linear_id = gid * local_size + lid;
+
+  simd<uint, 16> slm_offset(0, 1);
+  slm_offset += 16 * lid;
+  slm_offset *= sizeof(int);
+  simd<uint, 16> slm_data = 0;
+  slm_scatter<uint, 16>(slm_offset, slm_data);
+  esimd::barrier();
+
+  // Each thread handles NUM_BLOCKSxBLOCK_WIDTH pixel blocks
+  auto start_off = (linear_id * BLOCK_WIDTH * NUM_BLOCKS);
+  for (int y = 0; y < NUM_BLOCKS; y++) {
+    auto start_addr = ((unsigned int *)input_ptr) + start_off;
+    simd<uint, 32> data;
+    data.copy_from(start_addr);
+    auto in = data.bit_cast_view<uchar>();
+
+#pragma unroll
+    for (int j = 0; j < BLOCK_WIDTH * sizeof(int); j += 16) {
+      // Accumulate local histogram for each pixel value
+      simd<uint, 16> dataOffset = in.select<16, 1>(j).read();
+      dataOffset *= sizeof(int);
+      slm_atomic_update<atomic_op::inc, uint, 16>(dataOffset, 1);
+    }
+    start_off += BLOCK_WIDTH;
+  }
+  esimd::barrier();
+
+  // Update global sum by atomically adding each local histogram
+  simd<uint, 16> local_histogram;
+  local_histogram = slm_gather<uint32_t, 16>(slm_offset);
+  atomic_update<atomic_op::add, uint32_t, 8>(
+      output, slm_offset.select<8, 1>(0), local_histogram.select<8, 1>(0), 1);
+  atomic_update<atomic_op::add, uint32_t, 8>(
+      output, slm_offset.select<8, 1>(8), local_histogram.select<8, 1>(8), 1);
+}
+
+// This function calculates histogram of the image with the CPU.
+// @param size: the size of the input array.
+// @param src: pointer to the input array.
+// @param cpu_histogram: pointer to the histogram of the input image.
+void HistogramCPU(unsigned int size, unsigned int *src,
+                  unsigned int *cpu_histogram) {
+  for (int i = 0; i < size; i++) {
+    unsigned int x = src[i];
+    cpu_histogram[(x)&0xFFU] += 1;
+    cpu_histogram[(x >> 8) & 0xFFU] += 1;
+    cpu_histogram[(x >> 16) & 0xFFU] += 1;
+    cpu_histogram[(x >> 24) & 0xFFU] += 1;
+  }
+}
+
+// This function compares the output data calculated by the CPU and the
+// GPU separately.
+// If they are identical, return 1, else return 0.
+int CheckHistogram(unsigned int *cpu_histogram, unsigned int *gpu_histogram) {
+  unsigned int bad = 0;
+  for (int i = 0; i < NUM_BINS; i++) {
+    if (cpu_histogram[i] != gpu_histogram[i]) {
+      std::cout << "At " << i << ": CPU = " << cpu_histogram[i]
+                << ", GPU = " << gpu_histogram[i] << std::endl;
+      if (bad >= 256)
+        return 0;
+      bad++;
+    }
+  }
+  if (bad > 0)
+    return 0;
+
+  return 1;
+}
+
+int main() {
+  queue q = esimd_test::createQueue();
+
+  const char *input_file = nullptr;
+  unsigned int width = 1024;
+  unsigned int height = 1024;
+
+  // Initializes input.
+  unsigned int input_size = width * height;
+  unsigned int *input_ptr = malloc_shared<unsigned int>(input_size, q);
+  printf("Processing %dx%d inputs\n", width, height);
+
+  srand(2009);
+  for (int i = 0; i < input_size; ++i) {
+    input_ptr[i] = rand() % 256;
+    input_ptr[i] |= (rand() % 256) << 8;
+    input_ptr[i] |= (rand() % 256) << 16;
+    input_ptr[i] |= (rand() % 256) << 24;
+  }
+
+  // Allocates system memory for output buffer.
+  int buffer_size = sizeof(unsigned int) * NUM_BINS;
+  unsigned int *hist = new unsigned int[buffer_size];
+  if (hist == nullptr) {
+    free(input_ptr, q);
+    std::cerr << "Out of memory\n";
+    exit(1);
+  }
+  memset(hist, 0, buffer_size);
+
+  // Uses the CPU to calculate the histogram output data.
+  unsigned int cpu_histogram[NUM_BINS];
+  memset(cpu_histogram, 0, sizeof(cpu_histogram));
+
+  HistogramCPU(input_size, input_ptr, cpu_histogram);
+
+  std::cout << "finish cpu_histogram\n";
+
+  // Uses the GPU to calculate the histogram output data.
+  unsigned int *output_surface = malloc_shared<unsigned int>(NUM_BINS, q);
+
+  unsigned int num_threads;
+  num_threads = width * height / (NUM_BLOCKS * BLOCK_WIDTH);
+
+  auto GlobalRange = range<1>(num_threads);
+  auto LocalRange = range<1>(NUM_BINS / 16);
+  nd_range<1> Range(GlobalRange, LocalRange);
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  // Launches the task on the GPU.
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+  try {
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      double etime = 0;
+      memset(output_surface, 0, sizeof(unsigned int) * NUM_BINS);
+      auto e = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class histogram_slm>(
+            Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+              histogram_atomic(input_ptr, output_surface, ndi.get_group(0),
+                               ndi.get_local_id(0), 16);
+            });
+      });
+      e.wait();
+      if (profiling) {
+        etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cerr << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  std::cout << "finish GPU histogram\n";
+
+  memcpy(hist, output_surface, 4 * NUM_BINS);
+
+  free(output_surface, q);
+  free(input_ptr, q);
+
+  // Compares the CPU histogram output data with the
+  // GPU histogram output data.
+  // If there is no difference, the result is correct.
+  // Otherwise there is something wrong.
+  int res = CheckHistogram(cpu_histogram, hist);
+  if (res)
+    std::cout << "PASSED\n";
+  else
+    std::cout << "FAILED\n";
+
+  return res ? 0 : -1;
+}
diff --git a/sycl/test-e2e/ESIMD/histogram_256_slm_spec_2020.cpp b/sycl/test-e2e/ESIMD/histogram_256_slm_spec_2020.cpp
new file mode 100644
index 0000000000000..1d1a59e55ec51
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram_256_slm_spec_2020.cpp
@@ -0,0 +1,229 @@
+// TODO enable on Windows
+// REQUIRES: linux && gpu
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 16
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+static constexpr int NUM_BINS = 256;
+static constexpr int SLM_SIZE = (NUM_BINS * 4);
+static constexpr int BLOCK_WIDTH = 32;
+static constexpr int NUM_BLOCKS = 32;
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+constexpr specialization_id<unsigned int> NumBlocksSpecId(NUM_BLOCKS);
+
+// Histogram kernel: computes the distribution of pixel intensities
+ESIMD_INLINE void histogram_atomic(const uint32_t *input_ptr, uint32_t *output,
+                                   uint32_t gid, uint32_t lid,
+                                   uint32_t local_size, uint32_t num_blocks) {
+  // Declare and initialize SLM
+  slm_init<SLM_SIZE>();
+  uint linear_id = gid * local_size + lid;
+
+  simd<uint, 16> slm_offset(0, 1);
+  slm_offset += 16 * lid;
+  slm_offset *= sizeof(int);
+  simd<uint, 16> slm_data = 0;
+  slm_scatter<uint, 16>(slm_offset, slm_data);
+  esimd::barrier();
+
+  // Each thread handles NUM_BLOCKSxBLOCK_WIDTH pixel blocks
+  auto start_off = (linear_id * BLOCK_WIDTH * num_blocks);
+  for (int y = 0; y < num_blocks; y++) {
+    auto start_addr = ((unsigned int *)input_ptr) + start_off;
+    auto data = block_load<uint, 32>(start_addr);
+    auto in = data.bit_cast_view<uchar>();
+
+#pragma unroll
+    for (int j = 0; j < BLOCK_WIDTH * sizeof(int); j += 16) {
+      // Accumulate local histogram for each pixel value
+      simd<uint, 16> dataOffset = in.select<16, 1>(j).read();
+      dataOffset *= sizeof(int);
+      slm_atomic_update<atomic_op::inc, uint, 16>(dataOffset, 1);
+    }
+    start_off += BLOCK_WIDTH;
+  }
+  esimd::barrier();
+
+  // Update global sum by atomically adding each local histogram
+  simd<uint, 16> local_histogram;
+  local_histogram = slm_gather<uint32_t, 16>(slm_offset);
+  atomic_update<atomic_op::add, uint32_t, 8>(
+      output, slm_offset.select<8, 1>(0), local_histogram.select<8, 1>(0), 1);
+  atomic_update<atomic_op::add, uint32_t, 8>(
+      output, slm_offset.select<8, 1>(8), local_histogram.select<8, 1>(8), 1);
+}
+
+// This function calculates histogram of the image with the CPU.
+// @param size: the size of the input array.
+// @param src: pointer to the input array.
+// @param cpu_histogram: pointer to the histogram of the input image.
+void HistogramCPU(unsigned int size, unsigned int *src,
+                  unsigned int *cpu_histogram) {
+  for (int i = 0; i < size; i++) {
+    unsigned int x = src[i];
+    cpu_histogram[(x)&0xFFU] += 1;
+    cpu_histogram[(x >> 8) & 0xFFU] += 1;
+    cpu_histogram[(x >> 16) & 0xFFU] += 1;
+    cpu_histogram[(x >> 24) & 0xFFU] += 1;
+  }
+}
+
+// This function compares the output data calculated by the CPU and the
+// GPU separately.
+// If they are identical, return 1, else return 0.
+int CheckHistogram(unsigned int *cpu_histogram, unsigned int *gpu_histogram) {
+  unsigned int bad = 0;
+  for (int i = 0; i < NUM_BINS; i++) {
+    if (cpu_histogram[i] != gpu_histogram[i]) {
+      std::cout << "At " << i << ": CPU = " << cpu_histogram[i]
+                << ", GPU = " << gpu_histogram[i] << std::endl;
+      if (bad >= 256)
+        return 0;
+      bad++;
+    }
+  }
+  if (bad > 0)
+    return 0;
+
+  return 1;
+}
+
+class NumBlocksConst;
+class histogram_slm;
+
+int main(int argc, char **argv) {
+  queue q = esimd_test::createQueue();
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  const char *input_file = nullptr;
+  unsigned int width = 1024 * sizeof(unsigned int);
+  unsigned int height = 1024;
+
+  // Initializes input.
+  unsigned int input_size = width * height;
+  unsigned int *input_ptr =
+      (unsigned int *)malloc_shared(input_size, dev, ctxt);
+  printf("Processing %dx%d inputs\n", (int)(width / sizeof(unsigned int)),
+         height);
+
+  srand(2009);
+  input_size = input_size / sizeof(int);
+  for (int i = 0; i < input_size; ++i) {
+    input_ptr[i] = rand() % 256;
+    input_ptr[i] |= (rand() % 256) << 8;
+    input_ptr[i] |= (rand() % 256) << 16;
+    input_ptr[i] |= (rand() % 256) << 24;
+  }
+
+  // Allocates system memory for output buffer.
+  int buffer_size = sizeof(unsigned int) * NUM_BINS;
+  unsigned int *hist = new unsigned int[buffer_size];
+  if (hist == nullptr) {
+    std::cerr << "Out of memory\n";
+    exit(1);
+  }
+  memset(hist, 0, buffer_size);
+
+  // Uses the CPU to calculate the histogram output data.
+  unsigned int cpu_histogram[NUM_BINS];
+  memset(cpu_histogram, 0, sizeof(cpu_histogram));
+
+  HistogramCPU(input_size, input_ptr, cpu_histogram);
+
+  std::cout << "finish cpu_histogram\n";
+
+  // Uses the GPU to calculate the histogram output data.
+  unsigned int *output_surface =
+      (uint32_t *)malloc_shared(4 * NUM_BINS, dev, ctxt);
+  memset(output_surface, 0, 4 * NUM_BINS);
+
+  unsigned int num_blocks{NUM_BLOCKS};
+  if (argc == 2) {
+    num_blocks = atoi(argv[1]);
+    std::cout << "new num_blocks = " << num_blocks << "\n";
+  }
+
+  unsigned int num_threads;
+  num_threads = width * height / (num_blocks * BLOCK_WIDTH * sizeof(int));
+
+  auto GlobalRange = sycl::range<1>(num_threads);
+  auto LocalRange = sycl::range<1>(NUM_BINS / 16);
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      double etime = 0;
+      memset(output_surface, 0, 4 * NUM_BINS);
+      auto e = q.submit([&](sycl::handler &cgh) {
+        cgh.set_specialization_constant<NumBlocksSpecId>(num_blocks);
+        cgh.parallel_for<histogram_slm>(
+            Range,
+            [=](sycl::nd_item<1> ndi, kernel_handler kh) SYCL_ESIMD_KERNEL {
+              histogram_atomic(
+                  input_ptr, output_surface, ndi.get_group(0),
+                  ndi.get_local_id(0), 16,
+                  kh.get_specialization_constant<NumBlocksSpecId>());
+            });
+      });
+      e.wait();
+      if (profiling) {
+        etime = esimd_test::report_time("kernel time", e, e);
+      if (iter > 0)
+        kernel_times += etime;
+      }
+      if (iter == 0)
+      start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  std::cout << "finish GPU histogram\n";
+
+  memcpy(hist, output_surface, 4 * NUM_BINS);
+
+  free(output_surface, ctxt);
+
+  free(input_ptr, ctxt);
+
+  // Compares the CPU histogram output data with the
+  // GPU histogram output data.
+  // If there is no difference, the result is correct.
+  // Otherwise there is something wrong.
+  int res = CheckHistogram(cpu_histogram, hist);
+  if (res)
+    std::cout << "PASSED\n";
+  else
+    std::cout << "FAILED\n";
+
+  return res ? 0 : -1;
+}
diff --git a/sycl/test-e2e/ESIMD/histogram_2d.cpp b/sycl/test-e2e/ESIMD/histogram_2d.cpp
new file mode 100644
index 0000000000000..4c5c30fb9d836
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram_2d.cpp
@@ -0,0 +1,269 @@
+//==---------------- histogram_2d.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <array>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#define NUM_BINS 256
+#define IMG_WIDTH 1024
+#define IMG_HEIGHT 1024
+//
+// each parallel_for handles 64x32 bytes
+//
+#define BLOCK_WIDTH 32
+#define BLOCK_HEIGHT 64
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+void histogram_CPU(unsigned int width, unsigned int height, unsigned char *srcY,
+                   unsigned int *cpuHistogram) {
+  int i;
+  for (i = 0; i < width * height; i++) {
+    cpuHistogram[srcY[i]] += 1;
+  }
+}
+
+void writeHist(unsigned int *hist) {
+  int total = 0;
+
+  std::cerr << "\nHistogram: \n";
+  for (int i = 0; i < NUM_BINS; i += 8) {
+    std::cerr << "\n  [" << i << " - " << i + 7 << "]:";
+    for (int j = 0; j < 8; j++) {
+      std::cerr << "\t" << hist[i + j];
+      total += hist[i + j];
+    }
+  }
+  std::cerr << "\nTotal = " << total << " \n";
+}
+
+int checkHistogram(unsigned int *refHistogram, unsigned int *hist) {
+
+  for (int i = 0; i < NUM_BINS; i++) {
+    if (refHistogram[i] != hist[i]) {
+      return 0;
+    }
+  }
+  return 1;
+}
+
+int main(int argc, char *argv[]) {
+
+  const char *input_file = nullptr;
+  unsigned int width = IMG_WIDTH * sizeof(unsigned int);
+  unsigned int height = IMG_HEIGHT;
+
+  if (argc == 2) {
+    input_file = argv[1];
+  } else {
+    std::cerr << "Usage: Histogram.exe input_file" << std::endl;
+    std::cerr << "No input file specificed. Use default random value ...."
+              << std::endl;
+  }
+
+  // ------------------------------------------------------------------------
+  // Read in image luma plane
+
+  // Allocate Input Buffer
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  unsigned char *srcY = malloc_shared<unsigned char>(width * height, q);
+  if (srcY == NULL) {
+    std::cerr << "Out of memory\n";
+    exit(1);
+  }
+
+  unsigned int *bins = malloc_shared<unsigned int>(NUM_BINS, q);
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  uint range_width = width / BLOCK_WIDTH;
+  uint range_height = height / BLOCK_HEIGHT;
+
+  // Initializes input.
+  unsigned int input_size = width * height;
+  std::cerr << "Processing inputs\n";
+
+  if (input_file != nullptr) {
+    FILE *f = fopen(input_file, "rb");
+    if (f == NULL) {
+      std::cerr << "Error opening file " << input_file;
+      free(srcY, q);
+      free(bins, q);
+      std::exit(1);
+    }
+
+    unsigned int cnt = fread(srcY, sizeof(unsigned char), input_size, f);
+    if (cnt != input_size) {
+      std::cerr << "Error reading input from " << input_file;
+      free(srcY, q);
+      free(bins, q);
+      std::exit(1);
+    }
+  } else {
+    srand(2009);
+    for (int i = 0; i < input_size; ++i) {
+      srcY[i] = rand() % 256;
+    }
+  }
+
+  for (int i = 0; i < NUM_BINS; i++) {
+    bins[i] = 0;
+  }
+
+  // ------------------------------------------------------------------------
+  // CPU Execution:
+
+  unsigned int cpuHistogram[NUM_BINS];
+  memset(cpuHistogram, 0, sizeof(cpuHistogram));
+  histogram_CPU(width, height, srcY, cpuHistogram);
+
+  sycl::image<2> Img(srcY, image_channel_order::rgba,
+                     image_channel_type::unsigned_int32,
+                     range<2>{width / sizeof(uint4), height});
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      double etime = 0;
+      for (int b = 0; b < NUM_BINS; b++)
+        bins[b] = 0;
+      // create ranges
+      // We need that many workitems
+      auto GlobalRange = range<2>(range_width, range_height);
+      // Number of workitems in a workgroup
+      auto LocalRange = range<2>(1, 1);
+      nd_range<2> Range(GlobalRange, LocalRange);
+
+      auto e = q.submit([&](handler &cgh) {
+        auto readAcc = Img.get_access<uint4, access::mode::read>(cgh);
+
+        cgh.parallel_for<class Hist>(
+            Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+
+              // Get thread origin offsets
+              uint h_pos = ndi.get_group(0) * BLOCK_WIDTH;
+              uint v_pos = ndi.get_group(1) * BLOCK_HEIGHT;
+
+              // Declare a 8x32 uchar matrix to store the input block pixel
+              // value
+              simd<unsigned char, 8 * 32> in;
+
+              // Declare a vector to store the local histogram
+              simd<unsigned int, NUM_BINS> histogram(0);
+
+              // Each thread handles BLOCK_HEIGHTxBLOCK_WIDTH pixel block
+              for (int y = 0; y < BLOCK_HEIGHT / 8; y++) {
+                // Perform 2D media block read to load 8x32 pixel block
+                in = media_block_load<unsigned char, 8, 32>(readAcc, h_pos,
+                                                            v_pos);
+
+            // Accumulate local histogram for each pixel value
+#pragma unroll
+                for (int i = 0; i < 8; i++) {
+#pragma unroll
+                  for (int j = 0; j < 32; j++) {
+                    histogram.select<1, 1>(in[i * 32 + j]) += 1;
+                  }
+                }
+
+                // Update starting offset for the next work block
+                v_pos += 8;
+              }
+
+              // Declare a vector to store the offset for atomic write operation
+              simd<Toffset, 8> offset(0, 1); // init to 0, 1, 2, ..., 7
+              offset *= sizeof(unsigned int);
+
+          // Update global sum by atomically adding each local histogram
+#pragma unroll
+              for (int i = 0; i < NUM_BINS; i += 8) {
+                // Declare a vector to store the source for atomic write
+                // operation
+                simd<unsigned int, 8> src;
+                src = histogram.select<8, 1>(i);
+
+#ifdef __SYCL_DEVICE_ONLY__
+                atomic_update<atomic_op::add, unsigned int, 8>(bins, offset,
+                                                               src, 1);
+                offset += 8 * sizeof(unsigned int);
+#else
+                simd<unsigned int, 8> vals;
+                vals.copy_from(bins + i);
+                vals = vals + src;
+                vals.copy_to(bins + i);
+#endif
+              }
+            });
+      });
+      e.wait();
+      if (profiling) {
+        etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+
+    // SYCL will enqueue and run the kernel. Recall that the buffer's data is
+    // given back to the host at the end of scope.
+    // make sure data is given back to the host at the end of this scope
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(srcY, q);
+    free(bins, q);
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  writeHist(bins);
+  writeHist(cpuHistogram);
+  // Checking Histogram
+  int result = checkHistogram(cpuHistogram, bins);
+  free(srcY, q);
+  free(bins, q);
+  if (result) {
+    std::cerr << "PASSED\n";
+    return 0;
+  } else {
+    std::cerr << "FAILED\n";
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/histogram_2d_64.cpp b/sycl/test-e2e/ESIMD/histogram_2d_64.cpp
new file mode 100644
index 0000000000000..466ce330b0c35
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram_2d_64.cpp
@@ -0,0 +1,18 @@
+//==---------------- histogram_2d_64.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "histogram_2d.cpp"
diff --git a/sycl/test-e2e/ESIMD/histogram_64.cpp b/sycl/test-e2e/ESIMD/histogram_64.cpp
new file mode 100644
index 0000000000000..0202a041c1533
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram_64.cpp
@@ -0,0 +1,18 @@
+//==---------------- histogram_64.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "histogram.cpp"
diff --git a/sycl/test-e2e/ESIMD/histogram_raw_send.cpp b/sycl/test-e2e/ESIMD/histogram_raw_send.cpp
new file mode 100644
index 0000000000000..c5b63f94d7a88
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/histogram_raw_send.cpp
@@ -0,0 +1,297 @@
+//==------------ histogram_raw_send.cpp  - DPC++ ESIMD on-device test
+//-------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-gen9
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: gpu-intel-dg1,gpu-intel-dg2,cuda,hip, gpu-intel-pvc
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// RUN: %clangxx -fsycl %s -o %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %clangxx -fsycl -DNEW_API %s -o %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+
+// The test checks raw send functionality with atomic write implementation
+// on SKL. It does not work on DG1 due to send instruction incompatibility.
+
+#include "esimd_test_utils.hpp"
+
+#include <array>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#define NUM_BINS 256
+#define IMG_WIDTH 1024
+#define IMG_HEIGHT 1024
+//
+// each parallel_for handles 64x32 bytes
+//
+#define BLOCK_WIDTH 32
+#define BLOCK_HEIGHT 64
+
+void histogram_CPU(unsigned int width, unsigned int height, unsigned char *srcY,
+                   unsigned int *cpuHistogram) {
+  int i;
+  for (i = 0; i < width * height; i++) {
+    cpuHistogram[srcY[i]] += 1;
+  }
+}
+
+void writeHist(unsigned int *hist) {
+  int total = 0;
+
+  std::cerr << "\nHistogram: \n";
+  for (int i = 0; i < NUM_BINS; i += 8) {
+    std::cerr << "\n  [" << i << " - " << i + 7 << "]:";
+    for (int j = 0; j < 8; j++) {
+      std::cerr << "\t" << hist[i + j];
+      total += hist[i + j];
+    }
+  }
+  std::cerr << "\nTotal = " << total << " \n";
+}
+
+int checkHistogram(unsigned int *refHistogram, unsigned int *hist) {
+
+  for (int i = 0; i < NUM_BINS; i++) {
+    if (refHistogram[i] != hist[i]) {
+      return 0;
+    }
+  }
+  return 1;
+}
+
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+template <atomic_op Op, typename T, int n>
+ESIMD_INLINE void atomic_write(T *bins, simd<unsigned, n> offset,
+                               simd<T, n> src0, simd_mask<n> pred) {
+  simd<T, n> oldDst;
+  simd<uintptr_t, n> vAddr(reinterpret_cast<uintptr_t>(bins));
+  simd<uintptr_t, n> vOffset = offset;
+  vAddr += vOffset;
+
+  uint32_t exDesc = 0x4C;
+  uint32_t desc = 0x414A7FF;
+  constexpr uint8_t execSize = 0x83;
+  constexpr uint8_t sfid = 0x1;
+  constexpr uint8_t numDst = 0x1;
+  constexpr uint8_t numSrc0 = 0x2;
+  constexpr uint8_t numSrc1 = 0x1;
+  constexpr uint8_t isEOT = 0;
+  constexpr uint8_t isSendc = 0;
+#ifdef NEW_API
+  experimental::esimd::raw_sends(oldDst, vAddr, src0, exDesc, desc, execSize,
+                                 sfid, numSrc0, numSrc1, numDst, isEOT, isSendc,
+                                 pred);
+#else
+  experimental::esimd::raw_sends_load(oldDst, vAddr, src0, exDesc, desc,
+                                      execSize, sfid, numSrc0, numSrc1, numDst,
+                                      isEOT, isSendc, pred);
+#endif
+}
+
+int main(int argc, char *argv[]) {
+
+  const char *input_file = nullptr;
+  unsigned int width = IMG_WIDTH * sizeof(unsigned int);
+  unsigned int height = IMG_HEIGHT;
+
+  if (argc == 2) {
+    input_file = argv[1];
+  } else {
+    std::cerr << "Usage: Histogram.exe input_file" << std::endl;
+    std::cerr << "No input file specificed. Use default random value ...."
+              << std::endl;
+  }
+
+  // ------------------------------------------------------------------------
+  // Read in image luma plane
+
+  // Allocate Input Buffer
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  unsigned char *srcY =
+      static_cast<unsigned char *>(malloc_shared(width * height, dev, ctxt));
+  unsigned int *bins = static_cast<unsigned int *>(
+      malloc_shared(NUM_BINS * sizeof(unsigned int), dev, ctxt));
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  uint range_width = width / BLOCK_WIDTH;
+  uint range_height = height / BLOCK_HEIGHT;
+
+  if (srcY == NULL) {
+    std::cerr << "Out of memory\n";
+    exit(1);
+  }
+
+  // Initializes input.
+  unsigned int input_size = width * height;
+  std::cerr << "Processing inputs\n";
+
+  if (input_file != nullptr) {
+    FILE *f = fopen(input_file, "rb");
+    if (f == NULL) {
+      std::cerr << "Error opening file " << input_file;
+      std::exit(1);
+    }
+
+    unsigned int cnt = fread(srcY, sizeof(unsigned char), input_size, f);
+    if (cnt != input_size) {
+      std::cerr << "Error reading input from " << input_file;
+      std::exit(1);
+    }
+  } else {
+    srand(2009);
+    for (int i = 0; i < input_size; ++i) {
+      srcY[i] = rand() % 256;
+    }
+  }
+
+  for (int i = 0; i < NUM_BINS; i++) {
+    bins[i] = 0;
+  }
+
+  // ------------------------------------------------------------------------
+  // CPU Execution:
+
+  unsigned int cpuHistogram[NUM_BINS];
+  memset(cpuHistogram, 0, sizeof(cpuHistogram));
+  histogram_CPU(width, height, srcY, cpuHistogram);
+
+  sycl::image<2> Img(srcY, image_channel_order::rgba,
+                     image_channel_type::unsigned_int32,
+                     range<2>{width / sizeof(uint4), height});
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      double etime = 0;
+      for (int b = 0; b < NUM_BINS; b++)
+        bins[b] = 0;
+      // create ranges
+      // We need that many task groups
+      auto GlobalRange = range<1>(range_width * range_height);
+      // We need that many tasks in each group
+      auto LocalRange = range<1>(1);
+      nd_range<1> Range(GlobalRange, LocalRange);
+
+      auto e = q.submit([&](handler &cgh) {
+        auto readAcc = Img.get_access<uint4, sycl::access::mode::read>(cgh);
+
+        cgh.parallel_for<class Hist>(
+            Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+              // Get thread origin offsets
+              uint tid = ndi.get_group(0);
+              uint h_pos = (tid % range_width) * BLOCK_WIDTH;
+              uint v_pos = (tid / range_width) * BLOCK_HEIGHT;
+
+              // Declare a 8x32 uchar matrix to store the input block pixel
+              // value
+              simd<unsigned char, 8 * 32> in;
+
+              // Declare a vector to store the local histogram
+              simd<unsigned int, NUM_BINS> histogram(0);
+
+              // Each thread handles BLOCK_HEIGHTxBLOCK_WIDTH pixel block
+              for (int y = 0; y < BLOCK_HEIGHT / 8; y++) {
+                // Perform 2D media block read to load 8x32 pixel block
+                in = media_block_load<unsigned char, 8, 32>(readAcc, h_pos,
+                                                            v_pos);
+
+            // Accumulate local histogram for each pixel value
+#pragma unroll
+                for (int i = 0; i < 8; i++) {
+#pragma unroll
+                  for (int j = 0; j < 32; j++) {
+                    histogram.select<1, 1>(in[i * 32 + j]) += 1;
+                  }
+                }
+
+                // Update starting offset for the next work block
+                v_pos += 8;
+              }
+
+              // Declare a vector to store the offset for atomic write operation
+              simd<unsigned int, 8> offset(0, 1); // init to 0, 1, 2, ..., 7
+              offset *= sizeof(unsigned int);
+
+          // Update global sum by atomically adding each local histogram
+#pragma unroll
+              for (int i = 0; i < NUM_BINS; i += 8) {
+                // Declare a vector to store the source for atomic write
+                // operation
+                simd<unsigned int, 8> src;
+                src = histogram.select<8, 1>(i);
+
+#ifdef __SYCL_DEVICE_ONLY__
+                // flat_atomic<atomic_op::add, unsigned int,
+                // 8>(bins, offset, src, 1);
+                atomic_write<atomic_op::add, unsigned int, 8>(bins, offset, src,
+                                                              1);
+                offset += 8 * sizeof(unsigned int);
+#else
+                simd<unsigned int, 8> vals;
+                vals.copy_from(bins + i);
+                vals = vals + src;
+                vals.copy_to(bins + i);
+#endif
+              }
+            });
+      });
+      e.wait();
+      if (profiling) {
+        etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+
+    // SYCL will enqueue and run the kernel. Recall that the buffer's data is
+    // given back to the host at the end of scope.
+    // make sure data is given back to the host at the end of this scope
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  writeHist(bins);
+  writeHist(cpuHistogram);
+  // Checking Histogram
+  if (checkHistogram(cpuHistogram, bins)) {
+    std::cerr << "PASSED\n";
+    return 0;
+  } else {
+    std::cerr << "FAILED\n";
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/imulh_umulh.cpp b/sycl/test-e2e/ESIMD/imulh_umulh.cpp
new file mode 100644
index 0000000000000..72d0c9bb111b6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/imulh_umulh.cpp
@@ -0,0 +1,181 @@
+//==---------------- imulh_umulh.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test verifies ESIMD API that multiplies 2 32-bit integer scalars/vectors
+// resulting into 64-bit result and returning the result as 2 parts:
+// lower 32-bits in the input modified operand and upper 32-bits as return
+// from function.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+namespace iesimd = sycl::ext::intel::experimental::esimd;
+
+template <typename RT, typename T0, typename T1, int N, bool AIsVector,
+          bool BIsVector>
+bool test(sycl::queue Q) {
+  static_assert(AIsVector || BIsVector || N == 1,
+                "(Scalar * Scalar) case must have N==1");
+
+  uint32_t ValuesToTryHost[] = {0,
+                                1,
+                                static_cast<uint32_t>(-1),
+                                0x7f,
+                                static_cast<uint32_t>(-0x7f),
+                                0x7fff,
+                                static_cast<uint32_t>(-0x7fff),
+                                0x7ffff,
+                                static_cast<uint32_t>(-0x7ffff),
+                                0x7ffffff,
+                                0x80,
+                                static_cast<uint32_t>(-0x80),
+                                0x8000,
+                                static_cast<uint32_t>(-0x8000),
+                                0x800000,
+                                static_cast<uint32_t>(-0x800000),
+                                0x80000000};
+  uint32_t ValuesToTrySize = sizeof(ValuesToTryHost) / sizeof(uint32_t);
+
+  std::cout << "Running case: RT=" << esimd_test::type_name<RT>()
+            << ", T0=" << esimd_test::type_name<T0>()
+            << ", T1=" << esimd_test::type_name<T1>() << ", N=" << N
+            << ", AIsVector=" << AIsVector << ", BIsVector=" << BIsVector
+            << std::endl;
+
+  auto ValuesToTryUPtr =
+      esimd_test::usm_malloc_shared<uint32_t>(Q, ValuesToTrySize);
+  uint32_t *ValuesToTryPtr = ValuesToTryUPtr.get();
+  memcpy(ValuesToTryPtr, ValuesToTryHost, ValuesToTrySize * sizeof(uint32_t));
+
+  auto ResultsMatrixLoUPtr = esimd_test::usm_malloc_shared<RT>(
+      Q, ValuesToTrySize * ValuesToTrySize * N);
+  auto ResultsMatrixHiUPtr = esimd_test::usm_malloc_shared<RT>(
+      Q, ValuesToTrySize * ValuesToTrySize * N);
+  RT *ResultsMatrixLoPtr = ResultsMatrixLoUPtr.get();
+  RT *ResultsMatrixHiPtr = ResultsMatrixHiUPtr.get();
+
+  try {
+    Q.single_task([=]() SYCL_ESIMD_KERNEL {
+       simd<T0, N> VecInc(0, 1);
+       for (int AI = 0; AI < ValuesToTrySize; AI++) {
+         using AType = std::conditional_t<AIsVector, simd<T0, N>, T0>;
+         T0 AScalar =
+             simd<T0, 1>(reinterpret_cast<T0 *>(ValuesToTryPtr) + AI)[0];
+         AType A = AScalar;
+         if constexpr (AIsVector)
+           A += VecInc;
+
+         for (int BI = 0; BI < ValuesToTrySize; BI++) {
+           using BType = std::conditional_t<BIsVector, simd<T1, N>, T1>;
+           T1 BScalar =
+               simd<T1, 1>(reinterpret_cast<T1 *>(ValuesToTryPtr) + BI)[0];
+           BType B = BScalar;
+           if constexpr (BIsVector)
+             B += VecInc;
+
+           using ResType =
+               std::conditional_t<AIsVector || BIsVector, simd<RT, N>, RT>;
+           ResType ResLo;
+           ResType ResHi = iesimd::imul(ResLo, A, B);
+
+           if constexpr (AIsVector || BIsVector) {
+             ResLo.copy_to(ResultsMatrixLoPtr +
+                           (ValuesToTrySize * AI + BI) * N);
+             ResHi.copy_to(ResultsMatrixHiPtr +
+                           (ValuesToTrySize * AI + BI) * N);
+           } else {
+             simd<RT, 1> ResLo1 = ResLo;
+             simd<RT, 1> ResHi1 = ResHi;
+             ResLo1.copy_to(ResultsMatrixLoPtr +
+                            (ValuesToTrySize * AI + BI) * N);
+             ResHi1.copy_to(ResultsMatrixHiPtr +
+                            (ValuesToTrySize * AI + BI) * N);
+           }
+
+         } // end for BI
+       }   // end for AI
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  using Common32T = decltype(std::declval<T0>() * std::declval<T1>());
+  using Result64T = std::conditional_t<std::is_signed_v<RT>, int64_t, uint64_t>;
+  int NumErrors = 0;
+  for (int AI = 0; AI < ValuesToTrySize; AI++) {
+    for (int BI = 0; BI < ValuesToTrySize; BI++) {
+      for (int I = 0; I < N; I++) {
+        T0 A = ValuesToTryHost[AI];
+        if constexpr (AIsVector)
+          A += I;
+        T1 B = ValuesToTryHost[BI];
+        if constexpr (BIsVector)
+          B += I;
+        Result64T R = static_cast<Common32T>(A);
+        R *= static_cast<Common32T>(B);
+
+        RT ExpectedResLo = R & 0xffffffff;
+        RT ExpectedResHi = (R >> 32) & 0xffffffff;
+        RT ComputedResLo =
+            ResultsMatrixLoPtr[(AI * ValuesToTrySize + BI) * N + I];
+        RT ComputedResHi =
+            ResultsMatrixHiPtr[(AI * ValuesToTrySize + BI) * N + I];
+        if (ComputedResLo != ExpectedResLo || ComputedResHi != ExpectedResHi) {
+          std::cout << "Error for (" << AI << "," << BI << "): " << A << "x"
+                    << B << " is Computed(" << ComputedResHi << ","
+                    << ComputedResLo << ") != Expected (" << ExpectedResHi
+                    << "," << ExpectedResLo << "), R = " << R << "\n";
+          NumErrors++;
+        }
+      }
+    }
+  }
+
+  return NumErrors == 0;
+}
+
+template <int N, bool AIsVector, bool BIsVector> bool tests(sycl::queue Q) {
+  bool Pass = true;
+  Pass &= test<uint32_t, uint32_t, uint32_t, N, AIsVector, BIsVector>(Q);
+  Pass &= test<uint32_t, uint32_t, int32_t, N, AIsVector, BIsVector>(Q);
+  Pass &= test<uint32_t, int32_t, uint32_t, N, AIsVector, BIsVector>(Q);
+  Pass &= test<uint32_t, int32_t, int32_t, N, AIsVector, BIsVector>(Q);
+  return Pass;
+}
+
+int main() {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto D = Q.get_device();
+  std::cout << "Running on " << D.get_info<info::device::name>() << "\n";
+
+  constexpr bool AIsVector = true;
+  constexpr bool BIsVector = true;
+  bool Pass = true;
+  Pass &= tests<16, AIsVector, BIsVector>(Q);
+  Pass &= tests<8, AIsVector, !BIsVector>(Q);
+  Pass &= tests<4, !AIsVector, BIsVector>(Q);
+
+  Pass &= tests<1, AIsVector, BIsVector>(Q);
+  Pass &= tests<1, AIsVector, !BIsVector>(Q);
+  Pass &= tests<1, !AIsVector, BIsVector>(Q);
+
+  Pass &= tests<1, !AIsVector, !BIsVector>(Q);
+
+  std::cout << (Pass > 0 ? "Passed\n" : "FAILED\n");
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/kmeans/kmeans.cpp b/sycl/test-e2e/ESIMD/kmeans/kmeans.cpp
new file mode 100644
index 0000000000000..8b759afc689f5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/kmeans/kmeans.cpp
@@ -0,0 +1,433 @@
+//==---------------- kmeans.cpp  - DPC++ ESIMD on-device test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -I%S/.. -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %S/points.csv
+
+#include "kmeans.h"
+#include "esimd_test_utils.hpp"
+
+#include <fstream>
+#include <iostream>
+#include <string.h>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace std;
+
+inline float dist(Point p, Centroid c) {
+  float dx = p.x - c.x;
+  float dy = p.y - c.y;
+  return dx * dx + dy * dy;
+}
+
+void clustering(Point *pts,         // points
+                unsigned num_pts,   // number of points
+                Centroid *ctrds,    // centroids
+                unsigned num_ctrds) // number of centroids
+{
+
+  for (auto i = 0; i < num_pts; i++) {
+    float min_dis = -1;
+    auto cluster_idx = 0;
+    // for each point, compute the min distance to centroids
+    for (auto j = 0; j < num_ctrds; j++) {
+      float dis = dist(pts[i], ctrds[j]);
+
+      if (dis < min_dis || min_dis == -1) {
+        min_dis = dis;
+        cluster_idx = j;
+      }
+    }
+    pts[i].cluster = cluster_idx;
+  }
+  // compute new positions of centroids
+  Accum *accum = (Accum *)malloc(num_ctrds * sizeof(Accum));
+  memset(accum, 0, num_ctrds * sizeof(Accum));
+  for (auto i = 0; i < num_pts; i++) {
+    auto c = pts[i].cluster;
+    accum[c].x_sum += pts[i].x;
+    accum[c].y_sum += pts[i].y;
+    accum[c].num_points++;
+  }
+  for (auto j = 0; j < num_ctrds; j++) {
+    ctrds[j].x = accum[j].x_sum / accum[j].num_points;
+    ctrds[j].y = accum[j].y_sum / accum[j].num_points;
+    ctrds[j].num_points = accum[j].num_points;
+  }
+  delete accum;
+}
+
+#define max(a, b) (((a) > (b)) ? (a) : (b))
+
+bool verify_result(Centroid4 *centroids4, // gpu centroids result
+                   Centroid *centroids)   // cpu centroids result
+{
+  bool succ = true;
+  int k = 0;
+  int j = 0;
+  for (auto i = 0; i < NUM_CENTROIDS_ACTUAL; i++) {
+    float errX = fabs(centroids4[j].x[k] - centroids[i].x) /
+                 max(fabs(centroids4[j].x[k]), fabs(centroids[i].x));
+    float errY = fabs(centroids4[j].y[k] - centroids[i].y) /
+                 max(fabs(centroids4[j].y[k]), fabs(centroids[i].y));
+    float errSize =
+        abs(centroids4[j].num_points[k] - centroids[i].num_points) /
+        max(abs(centroids4[j].num_points[k]), abs(centroids[i].num_points));
+    // std::cout << i << ": Wanted (" << centroids[i].x << ", " <<
+    // centroids[i].y
+    //        << ", " << centroids[i].num_points << ")" << std::endl;
+    // std::cout << "Got (" << centroids4[j].x[k] << ", " << centroids4[j].y[k]
+    //        << ", " << centroids4[j].num_points[k] << ")" << std::endl;
+    if (errX >= 0.002f || errY >= 0.002f || errSize >= 0.002f) {
+      std::cout << "Error, index " << i << ": Wanted (" << centroids[i].x
+                << ", " << centroids[i].y << ", " << centroids[i].num_points
+                << ")" << std::endl;
+      std::cout << "Got (" << centroids4[j].x[k] << ", " << centroids4[j].y[k]
+                << ", " << centroids4[j].num_points[k] << ")" << std::endl;
+      succ = false;
+      break;
+    }
+    k++;
+    if (k == SIMD_SIZE) {
+      k = 0;
+      j++;
+    }
+  }
+
+  return succ;
+}
+
+// take initial points and run k mean clustering number of iterations
+void cpu_kmeans(Point *pts,          // points
+                unsigned num_pts,    // number of points
+                Centroid *ctrds,     // centroids
+                unsigned num_ctrds,  // number of centroids
+                unsigned iterations) // run clustering number of iterations
+{
+  for (auto i = 0; i < iterations; i++) {
+    clustering(pts, num_pts, ctrds, num_ctrds);
+  }
+}
+
+int main(int argc, char *argv[]) {
+  if (argc != 2) {
+    std::cerr << "Usage: kmeans.exe input_file" << std::endl;
+    exit(1);
+  }
+
+  queue q = esimd_test::createQueue(/*inOrder*/ true);
+
+  auto points4 = malloc_shared<Point4>(NUM_POINTS / SIMD_SIZE, q);
+  memset(points4, 0, NUM_POINTS / SIMD_SIZE * sizeof(Point4));
+  auto centroids4 =
+      malloc_shared<Centroid4>(NUM_CENTROIDS_ALLOCATED / SIMD_SIZE, q);
+  memset(centroids4, 0,
+         NUM_CENTROIDS_ALLOCATED / SIMD_SIZE * sizeof(Centroid4));
+  auto accum4 = malloc_shared<Accum4>(NUM_CENTROIDS_ALLOCATED, q);
+
+  auto points = malloc_shared<Point>(NUM_POINTS, q);
+  memset(points, 0, NUM_POINTS * sizeof(Point));
+  auto centroids = malloc_shared<Centroid>(NUM_CENTROIDS_ACTUAL, q);
+  memset(centroids, 0, NUM_CENTROIDS_ACTUAL * sizeof(Centroid));
+
+  std::ifstream infile(argv[1]);
+  if (!infile.is_open()) {
+    std::cout << "Failed to open file " << argv[1] << std::endl;
+    exit(-1);
+  }
+
+  std::string first, second;
+  int i = 0;
+  int j = 0;
+  int k = 0;
+  while (std::getline(infile, first, ',')) {
+    if (i == NUM_POINTS)
+      break;
+    float x = std::stof(first);
+    std::getline(infile, second, '\n');
+    float y = std::stof(second);
+    // std::cout << "( "<< x<<", "<< y << " )"<<std::endl;
+    points[i].x = x;
+    points[i].y = y;
+    i++;
+    points4[j].x[k] = x;
+    points4[j].y[k] = y;
+    k++;
+    if (k == SIMD_SIZE) {
+      k = 0;
+      j++;
+    }
+  }
+  infile.close();
+
+  std::cout << "read in points" << std::endl;
+
+  // init centroids with the first num_centroids points
+  for (auto i = 0; i < NUM_CENTROIDS_ACTUAL; i++) {
+    centroids[i].x = points[i].x;
+    centroids[i].y = points[i].y;
+    centroids[i].num_points = 0;
+  }
+  // compute CPU kmean results for verifying results later
+  std::cout << "compute reference output" << std::endl;
+  cpu_kmeans(points, NUM_POINTS, centroids, NUM_CENTROIDS_ACTUAL,
+             NUM_ITERATIONS);
+
+  std::cout << "compute reference output successful" << std::endl;
+
+  memset(centroids4, 0,
+         sizeof(Centroid4) * NUM_CENTROIDS_ALLOCATED / SIMD_SIZE);
+  for (int i = 0; i < NUM_POINTS / SIMD_SIZE; i++) {
+    for (int j = 0; j < SIMD_SIZE; j++) {
+      points4[i].cluster[j] = 0;
+    }
+  }
+  for (int i = 0; i < NUM_CENTROIDS_ACTUAL / SIMD_SIZE; i++) {
+    for (int j = 0; j < SIMD_SIZE; j++) {
+      centroids4[i].x[j] = points4[i].x[j];
+      centroids4[i].y[j] = points4[i].y[j];
+      centroids4[i].num_points[j] = 0;
+    }
+  }
+  for (int j = 0; j < (NUM_CENTROIDS_ACTUAL & (SIMD_SIZE - 1)); j++) {
+    centroids4[NUM_CENTROIDS_ACTUAL / SIMD_SIZE].x[j] =
+        points4[NUM_CENTROIDS_ACTUAL / SIMD_SIZE].x[j];
+    centroids4[NUM_CENTROIDS_ACTUAL / SIMD_SIZE].y[j] =
+        points4[NUM_CENTROIDS_ACTUAL / SIMD_SIZE].y[j];
+    centroids4[NUM_CENTROIDS_ACTUAL / SIMD_SIZE].num_points[j] = 0;
+  }
+
+  Point4 *kpoints4 = points4;
+  Centroid4 *kcentroids4 = centroids4;
+  Accum4 *kaccum4 = accum4;
+
+  double kernel1_time_in_ms = 0;
+  double kernel2_time_in_ms = 0;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  //----
+  // Actual execution goes here
+
+  unsigned int total_threads = (NUM_POINTS - 1) / POINTS_PER_THREAD + 1;
+
+  auto submitJobs = [&]() {
+    // kmeans
+    nd_range<1> Range{total_threads, 1};
+    auto e = q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for<class kMeans>(
+          Range, [=](nd_item<1> it) SYCL_ESIMD_KERNEL {
+            simd<float, 2 * NUM_CENTROIDS_ALLOCATED> centroids(0);
+            auto centroidsXYXY = centroids.bit_cast_view<
+                float, NUM_CENTROIDS_ALLOCATED / SIMD_SIZE, SIMD_SIZE * 2>();
+            auto centroidsXY = centroids.bit_cast_view<
+                float, 2 * NUM_CENTROIDS_ALLOCATED / SIMD_SIZE, SIMD_SIZE>();
+
+#pragma unroll
+            for (int i = 0; i < NUM_CENTROIDS_ALLOCATED / SIMD_SIZE; i++) {
+              simd<float, 2 * SIMD_SIZE> data;
+              data.copy_from(kcentroids4[i].xyn);
+              centroidsXYXY.row(i) = data;
+            }
+
+            simd<float, NUM_CENTROIDS_ALLOCATED> accumxsum(0);
+            simd<float, NUM_CENTROIDS_ALLOCATED> accumysum(0);
+            simd<int, NUM_CENTROIDS_ALLOCATED> accumnpoints(0);
+
+            auto xsum = accumxsum.bit_cast_view<
+                float, NUM_CENTROIDS_ALLOCATED / SIMD_SIZE, SIMD_SIZE>();
+            auto ysum = accumysum.bit_cast_view<
+                float, NUM_CENTROIDS_ALLOCATED / SIMD_SIZE, SIMD_SIZE>();
+            auto npoints = accumnpoints.bit_cast_view<
+                int, NUM_CENTROIDS_ALLOCATED / SIMD_SIZE, SIMD_SIZE>();
+
+            // each thread handles POINTS_PER_THREAD points
+            int index = it.get_global_id(0) * POINTS_PER_THREAD / SIMD_SIZE;
+
+            for (int i = 0; i < POINTS_PER_THREAD / SIMD_SIZE; i++) {
+              simd<float, 2 * SIMD_SIZE> points;
+              auto pointsXY = points.bit_cast_view<float, 2, SIMD_SIZE>();
+              simd<int, SIMD_SIZE> cluster(0);
+
+              points.copy_from(kpoints4[index + i].xyn);
+
+              simd<float, SIMD_SIZE> dx =
+                  pointsXY.row(0) - centroidsXY.row(0)[0];
+              simd<float, SIMD_SIZE> dy =
+                  pointsXY.row(1) - centroidsXY.row(1)[0];
+              simd<float, SIMD_SIZE> min_dist = dx * dx + dy * dy;
+
+#pragma unroll
+              for (int j = 1; j < SIMD_SIZE; j++) {
+                dx = pointsXY.row(0) - centroidsXY.row(0)[j];
+                dy = pointsXY.row(1) - centroidsXY.row(1)[j];
+                simd<float, SIMD_SIZE> dist = dx * dx + dy * dy;
+                cluster.merge(j, (dist < min_dist));
+                min_dist.merge(dist, (dist < min_dist));
+              }
+
+#pragma unroll
+              for (int j = 1; j < NUM_CENTROIDS_ACTUAL / SIMD_SIZE; j++) {
+                for (int k = 0; k < SIMD_SIZE; k++) {
+                  // compute distance
+                  dx = pointsXY.row(0) - (centroidsXY.row(2 * j + 0))[k];
+                  dy = pointsXY.row(1) - (centroidsXY.row(2 * j + 1))[k];
+                  simd<float, SIMD_SIZE> dist = dx * dx + dy * dy;
+                  cluster.merge(j * SIMD_SIZE + k, (dist < min_dist));
+                  min_dist.merge(dist, (dist < min_dist));
+                }
+              }
+#pragma unroll
+              for (int k = 0, j = (NUM_CENTROIDS_ACTUAL / SIMD_SIZE);
+                   k < (NUM_CENTROIDS_ACTUAL & (SIMD_SIZE - 1)); k++) {
+                // compute distance
+                dx = pointsXY.row(0) - (centroidsXY.row(2 * j + 0))[k];
+                dy = pointsXY.row(1) - (centroidsXY.row(2 * j + 1))[k];
+                simd<float, SIMD_SIZE> dist = dx * dx + dy * dy;
+                cluster.merge(j * SIMD_SIZE + k, (dist < min_dist));
+                min_dist.merge(dist, (dist < min_dist));
+              }
+
+              cluster.copy_to(kpoints4[index + i].cluster);
+
+#pragma unroll
+              for (int k = 0; k < SIMD_SIZE; k++) {
+                int c = cluster[k];
+                int j = c / SIMD_SIZE;
+                int m = c & (SIMD_SIZE - 1);
+
+                xsum.row(j).select<1, 1>(m) += pointsXY.row(0)[k];
+                ysum.row(j).select<1, 1>(m) += pointsXY.row(1)[k];
+                npoints.row(j).select<1, 1>(m) += 1;
+              }
+            }
+            simd<unsigned int, SIMD_SIZE> offsets(0, sizeof(Accum4));
+            offsets += it.get_global_id(0) * sizeof(float);
+#pragma unroll
+            for (int i = 0, j = 0; i < NUM_CENTROIDS_ALLOCATED;
+                 i += SIMD_SIZE, j++) {
+              scatter<float, SIMD_SIZE>(kaccum4[i].x_sum, offsets, xsum.row(j));
+              scatter<float, SIMD_SIZE>(kaccum4[i].y_sum, offsets, ysum.row(j));
+              scatter<int, SIMD_SIZE>(kaccum4[i].num_points, offsets,
+                                      npoints.row(j));
+            }
+          });
+    });
+
+    e.wait();
+    if (profiling)
+      kernel1_time_in_ms += esimd_test::report_time("kernel1", e, e);
+
+    // printf("Done with kmeans\n");
+
+    // compute centroid position
+    auto e2 = q.submit([&](sycl::handler &cgh) {
+      nd_range<1> Range1{NUM_CENTROIDS_ACTUAL, 1};
+      cgh.parallel_for<class kCompCentroidPos>(
+          Range1, [=](nd_item<1> it) SYCL_ESIMD_KERNEL {
+            simd<float, SIMD_SIZE> xsum(0);
+            simd<float, SIMD_SIZE> ysum(0);
+            simd<int, SIMD_SIZE> npoints(0);
+
+            unsigned int offset = 0;
+            for (int i = 0; i < (NUM_POINTS / POINTS_PER_THREAD) / SIMD_SIZE;
+                 i++) {
+              simd<float, SIMD_SIZE> t;
+              t.copy_from(kaccum4[it.get_global_id(0)].x_sum + offset);
+              xsum += t;
+              t.copy_from(kaccum4[it.get_global_id(0)].y_sum + offset);
+              ysum += t;
+              simd<int, SIMD_SIZE> n;
+              n.copy_from(kaccum4[it.get_global_id(0)].num_points + offset);
+              npoints += n;
+              offset += SIMD_SIZE;
+            }
+
+            simd<float, SIMD_SIZE> centroid(0);
+            int num = reduce<int>(npoints, std::plus<>());
+            centroid.select<1, 1>(0) = reduce<float>(xsum, std::plus<>()) / num;
+            centroid.select<1, 1>(1) = reduce<float>(ysum, std::plus<>()) / num;
+            (centroid.bit_cast_view<int>()).select<1, 1>(2) = num;
+
+            simd_mask<SIMD_SIZE> mask(0);
+            mask.select<3, 1>(0) = 1;
+            int i = it.get_global_id(0) / SIMD_SIZE;
+            int k = it.get_global_id(0) & (SIMD_SIZE - 1);
+            simd<unsigned int, SIMD_SIZE> offsets(k * sizeof(float),
+                                                  SIMD_SIZE * sizeof(float));
+            scatter<float, SIMD_SIZE>(kcentroids4[i].xyn, offsets, centroid,
+                                      mask);
+          });
+    });
+    e2.wait();
+    if (profiling)
+      kernel2_time_in_ms += esimd_test::report_time("kernel2", e2, e2);
+  };
+
+  try {
+    for (auto i = 0; i < NUM_ITERATIONS; i++) {
+      submitJobs();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(points4, q);
+    free(centroids4, q);
+    free(accum4, q);
+    free(points, q);
+    free(centroids, q);
+    return 1; // return non-zero from main()
+  }
+
+  //---
+
+  auto correct = verify_result(centroids4, centroids);
+
+  std::cout << std::endl;
+
+  float kernel1_time = kernel1_time_in_ms;
+  float kernel2_time = kernel2_time_in_ms;
+  float kernel_time = kernel1_time + kernel2_time;
+
+  printf("\n--- ESIMD Kernel execution stats begin ---\n");
+
+  printf("NUMBER_OF_POINTS: %d\n", NUM_POINTS);
+  printf("NUMBER_OF_CENTROIDS: %d\n", NUM_CENTROIDS_ACTUAL);
+  printf("NUMBER_OF_ITERATIONS: %d\n", NUM_ITERATIONS);
+  printf("POINTS_PER_THREAD: %d\n", POINTS_PER_THREAD);
+
+  if (profiling) {
+    printf("Average kernel1 time: %f ms\n", kernel1_time / NUM_ITERATIONS);
+    printf("Total kernel1 time: %f ms\n\n", kernel1_time);
+
+    printf("Average kernel2 time: %f ms\n", kernel2_time / NUM_ITERATIONS);
+    printf("Total kernel2 time: %f ms\n\n", kernel2_time);
+
+    printf("Average kernel time: %f ms\n", kernel_time / NUM_ITERATIONS);
+    printf("Total kernel time: %f ms\n\n", kernel_time);
+  }
+
+  printf("--- ESIMD Kernel execution stats end ---\n\n");
+
+  std::cout << std::endl;
+
+  std::cout << ((correct) ? "PASSED" : "FAILED") << std::endl;
+
+  free(points4, q);
+  free(centroids4, q);
+  free(accum4, q);
+  free(points, q);
+  free(centroids, q);
+
+  return !correct;
+}
diff --git a/sycl/test-e2e/ESIMD/kmeans/kmeans.h b/sycl/test-e2e/ESIMD/kmeans/kmeans.h
new file mode 100644
index 0000000000000..f0c01350c9f95
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/kmeans/kmeans.h
@@ -0,0 +1,66 @@
+//==---------------- kmeans.h  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef KMEANS_H_INCLUDED
+#define KMEANS_H_INCLUDED
+
+static constexpr unsigned int NUM_POINTS = 98304 * 8;
+static constexpr unsigned int POINTS_PER_THREAD = 256;
+static constexpr unsigned int POINTS_PER_WORKITEM = 64;
+static constexpr unsigned int NUM_CENTROIDS_ACTUAL = 20;
+// round to next 16 so as to handle reading centroids easily
+// read 16 centroids at one time
+static constexpr unsigned int NUM_CENTROIDS_ALLOCATED =
+    ((NUM_CENTROIDS_ACTUAL + 15) / 16) * 16;
+static constexpr unsigned int SIMD_SIZE = 16;
+static constexpr unsigned int NUM_ITERATIONS = 7;
+
+typedef struct {
+  float x;
+  float y;
+  int cluster;
+} Point;
+
+typedef struct {
+  float x;
+  float y;
+  int num_points;
+} Centroid;
+
+typedef struct {
+  float x_sum;
+  float y_sum;
+  int num_points;
+} Accum;
+
+// AOSOA (array of structure of arrays)
+typedef union {
+  float xyn[SIMD_SIZE + SIMD_SIZE + SIMD_SIZE];
+  struct {
+    float x[SIMD_SIZE];
+    float y[SIMD_SIZE];
+    int cluster[SIMD_SIZE];
+  };
+} Point4;
+
+typedef union {
+  float xyn[SIMD_SIZE + SIMD_SIZE + SIMD_SIZE];
+  struct {
+    float x[SIMD_SIZE];
+    float y[SIMD_SIZE];
+    int num_points[SIMD_SIZE];
+  };
+} Centroid4;
+
+typedef struct {
+  float x_sum[NUM_POINTS / POINTS_PER_THREAD];
+  float y_sum[NUM_POINTS / POINTS_PER_THREAD];
+  int num_points[NUM_POINTS / POINTS_PER_THREAD];
+} Accum4;
+
+#endif // KMEANS_H_INCLUDED
diff --git a/sycl/test-e2e/ESIMD/kmeans/points.csv b/sycl/test-e2e/ESIMD/kmeans/points.csv
new file mode 100644
index 0000000000000..5406a16a25d7b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/kmeans/points.csv
@@ -0,0 +1,786440 @@
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diff --git a/sycl/test-e2e/ESIMD/large-grf.cpp b/sycl/test-e2e/ESIMD/large-grf.cpp
new file mode 100644
index 0000000000000..d691d9832d4ae
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/large-grf.cpp
@@ -0,0 +1,195 @@
+//==----------- large_grf.cpp  - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test verifies effect of
+//   set_kernel_properties(kernel_properties::use_large_grf);
+// API call in device code:
+// - ESIMD/SYCL splitting happens as usual
+// - ESIMD module is further split into callgraphs for entry points requesting
+//   "large GRF" and callgraphs for entry points which are not
+// - ESIMD device binary images requesting "large GRF" must be compiled with
+//   -doubleGRF option
+
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// TODO/FIXME: esimd_emulator does not support online compilation that
+//             invokes 'piProgramBuild'/'piKernelCreate'
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-NO-VAR
+// RUN: env SYCL_PROGRAM_COMPILE_OPTIONS="-g" SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-WITH-VAR
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/experimental/kernel_properties.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental;
+using namespace sycl::ext::intel::experimental::esimd;
+
+bool checkResult(const std::vector<float> &A, int Inc) {
+  int err_cnt = 0;
+  unsigned Size = A.size();
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != i + Inc)
+      if (++err_cnt < 10)
+        std::cerr << "failed at A[" << i << "]: " << A[i] << " != " << i + Inc
+                  << "\n";
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+    return false;
+  }
+  return true;
+}
+
+// Make the large GRF request from non-inlineable function - compiler should
+// mark the caller kernel as "large GRF" anyway.
+__attribute__((noinline)) void large_grf_marker() {
+  set_kernel_properties(kernel_properties::use_large_grf);
+}
+
+int main(void) {
+  constexpr unsigned Size = 32;
+  constexpr unsigned VL = 16;
+
+  std::vector<float> A(Size);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+    queue q(gpu_selector{}, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class SyclKernel>(Size,
+                                         [=](id<1> i) { PA[i] = PA[i] + 1; });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 1)) {
+    std::cout << "SYCL kernel passed\n";
+  } else {
+    std::cout << "SYCL kernel failed\n";
+    return 1;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class EsimdKernel>(Size, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        unsigned int offset = i * VL * sizeof(float);
+        simd<float, VL> va;
+        va.copy_from(PA, offset);
+        simd<float, VL> vc = va + 1;
+        vc.copy_to(PA, offset);
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 2)) {
+    std::cout << "ESIMD kernel passed\n";
+  } else {
+    std::cout << "ESIMD kernel failed\n";
+    return 1;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class EsimdKernelLargeGRF>(
+          Size, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            large_grf_marker();
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            simd<float, VL> vc = va + 1;
+            vc.copy_to(PA, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 3)) {
+    std::cout << "ESIMD large GRF kernel passed\n";
+  } else {
+    std::cout << "ESIMD large GRF kernel failed\n";
+    return 1;
+  }
+
+  return 0;
+}
+
+// Regular SYCL kernel is compiled without -vc-codegen option
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NOT: -vc-codegen
+// CHECK-WITH-VAR: -g
+// CHECK-NOT: -vc-codegen
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}SyclKernel
+// CHECK: ) ---> pi_result : PI_SUCCESS
+
+// For ESIMD kernels, -vc-codegen option is always preserved,
+// regardless of SYCL_PROGRAM_COMPILE_OPTIONS value.
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NO-VAR: -vc-codegen -disable-finalizer-msg
+// CHECK-WITH-VAR: -g -vc-codegen -disable-finalizer-msg
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}EsimdKernel
+// CHECK: ) ---> pi_result : PI_SUCCESS
+
+// Kernels requesting larger GRF are grouped into separate module and compiled
+// with -largeGRF regardless of SYCL_PROGRAM_COMPILE_OPTIONS value.
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NO-VAR: -vc-codegen -disable-finalizer-msg -doubleGRF
+// CHECK-WITH-VAR: -g -vc-codegen -disable-finalizer-msg -doubleGRF
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}EsimdKernelLargeGRF
+// CHECK: ) ---> pi_result : PI_SUCCESS
diff --git a/sycl/test-e2e/ESIMD/linear/bitmap_helpers.h b/sycl/test-e2e/ESIMD/linear/bitmap_helpers.h
new file mode 100644
index 0000000000000..e6c8863bd4c82
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/linear/bitmap_helpers.h
@@ -0,0 +1,295 @@
+//==---------------- bitmap_helpers.h  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#ifndef ESIMD_EXAMPLES_COMMON_BITMAP_HELPERS_H
+#define ESIMD_EXAMPLES_COMMON_BITMAP_HELPERS_H
+
+#ifdef _MSC_VER
+#pragma warning(disable : 4996)
+#endif // _MSC_VER
+
+#include <cstdint>
+#include <cstdio>
+#include <cstdlib>
+
+#include <iostream>
+#include <memory>
+#include <string>
+#include <sycl/detail/defines.hpp>
+
+namespace sycl {
+__SYCL_INLINE_VER_NAMESPACE(_V1) {
+  namespace ext {
+  namespace intel {
+  namespace util {
+  namespace bitmap {
+
+#ifndef PACKED
+#ifdef _MSC_VER
+#define BEGIN_PACKED __pragma(pack(push, 1))
+#define END_PACKED __pragma(pack(pop))
+#else
+#define BEGIN_PACKED _Pragma("pack(push, 1)")
+#define END_PACKED _Pragma("pack(pop)")
+#endif
+#endif
+
+  BEGIN_PACKED
+
+  struct BitMapFileHeader {
+    uint16_t Type;
+    uint32_t FileSize;
+    uint16_t Res1;
+    uint16_t Res2;
+    uint32_t PixelOffset;
+  };
+
+  struct BitMapInfoHeader {
+    uint32_t HeaderSize;
+    uint32_t Width;
+    uint32_t Height;
+    uint16_t Planes;
+    uint16_t BitsPerPixel;
+    uint32_t Compression;
+    uint32_t ImageSize;
+    uint32_t XPixelsPerMeter;
+    uint32_t YPixelsPerMeter;
+    uint32_t ColorsUsed;
+    uint32_t ColorsImportant;
+  };
+
+  END_PACKED
+
+  class BitMap {
+    unsigned Width;
+    unsigned Height;
+    unsigned BPP;
+    unsigned XPPM, YPPM;
+    unsigned char *Data;
+
+  protected:
+    BitMap(unsigned W, unsigned H, unsigned bpp, unsigned xppm, unsigned yppm)
+        : Width(W), Height(H), BPP(bpp), XPPM(xppm), YPPM(yppm), Data(nullptr) {
+    }
+
+  public:
+    BitMap() : Width(0), Height(0), BPP(0), XPPM(0), YPPM(0), Data(nullptr) {}
+    ~BitMap() {
+      if (Data) {
+        std::free(Data);
+        Data = nullptr;
+      }
+    }
+
+    unsigned getWidth() const { return Width; }
+    unsigned getHeight() const { return Height; }
+    unsigned getBPP() const { return BPP; }
+    unsigned getXPPM() const { return XPPM; }
+    unsigned getYPPM() const { return YPPM; }
+    unsigned char *getData() const { return Data; }
+
+    void setData(unsigned char *D) {
+      if (Data)
+        std::free(Data);
+      Data = D;
+    }
+
+    // Copy except data.
+    BitMap(const BitMap &B) {
+      Width = B.Width;
+      Height = B.Height;
+      BPP = B.BPP;
+      XPPM = B.XPPM;
+      YPPM = B.YPPM;
+      Data = nullptr;
+    }
+
+    // Move everything.
+    BitMap(BitMap &&B) {
+      Width = B.Width;
+      Height = B.Height;
+      BPP = B.BPP;
+      XPPM = B.XPPM;
+      YPPM = B.YPPM;
+      Data = B.Data;
+      B.Data = nullptr;
+    }
+
+    static BitMap load(const std::string &FilePath) {
+      const auto S = FilePath.c_str();
+      const auto FP = std::fopen(S, "rb");
+      if (!FP) {
+        std::perror(S);
+        exit(1);
+      }
+
+      // Verify bitmap file header.
+      BitMapFileHeader BFH;
+      if (std::fread(&BFH, 1, sizeof(BFH), FP) != sizeof(BFH)) {
+        std::cerr << "Error: failed to read bitmap header from " << S << ".\n";
+        exit(1);
+      }
+      if (BFH.Type != 0x4d42) {
+        std::cerr << "Error: " << S << "is not a bitmap file.\n";
+        exit(1);
+      }
+
+      // Verify bitmap info header.
+      BitMapInfoHeader BIH;
+      if (std::fread(&BIH, 1, sizeof(BIH), FP) != sizeof(BIH)) {
+        std::cerr << "Error: failed to read bitmap info from " << S << ".\n";
+        exit(1);
+      }
+      if (BIH.HeaderSize != 40 || BIH.Planes != 1 || BIH.BitsPerPixel != 24 ||
+          BIH.Compression != 0 || BIH.ColorsUsed != 0 ||
+          BIH.ColorsImportant != 0) {
+        std::cerr << "Error: " << S << " is not supported.\n";
+        exit(1);
+      }
+      if (BIH.ImageSize == 0)
+        BIH.ImageSize = BIH.Width * BIH.Height * (BIH.BitsPerPixel / 8);
+
+      unsigned char *Data =
+          reinterpret_cast<unsigned char *>(std::malloc(BIH.ImageSize));
+      if (!Data) {
+        std::cerr << "Error: insufficient memory to load " << S << ".\n";
+        exit(1);
+      }
+
+      std::fseek(FP, BFH.PixelOffset, SEEK_SET);
+      if (std::fread(Data, 1, BIH.ImageSize, FP) != BIH.ImageSize) {
+        std::cerr << "Error: failed to read image from " << S << ".\n";
+        exit(1);
+      }
+
+      std::fclose(FP);
+
+      BitMap Img(BIH.Width, BIH.Height, BIH.BitsPerPixel, BIH.XPixelsPerMeter,
+                 BIH.YPixelsPerMeter);
+      Img.setData(Data);
+
+      return Img;
+    }
+
+    void save(const std::string &FilePath) {
+      const auto S = FilePath.c_str();
+      const auto FP = std::fopen(S, "wb");
+      if (!FP) {
+        std::perror(S);
+        exit(1);
+      }
+
+      unsigned ImageSize = (BPP / 8) * Width * Height;
+
+      BitMapFileHeader BFH;
+      BitMapInfoHeader BIH;
+
+      BFH.Type = 0x4d42;
+      BFH.FileSize = sizeof(BFH) + sizeof(BIH) + ImageSize;
+      BFH.Res1 = BFH.Res2 = 0;
+      BFH.PixelOffset = sizeof(BFH) + sizeof(BIH);
+
+      BIH.HeaderSize = sizeof(BIH);
+      BIH.Width = Width;
+      BIH.Height = Height;
+      BIH.Planes = 1;
+      BIH.BitsPerPixel = BPP;
+      BIH.Compression = 0;
+      BIH.ImageSize = ImageSize;
+      BIH.XPixelsPerMeter = XPPM;
+      BIH.YPixelsPerMeter = YPPM;
+      BIH.ColorsUsed = 0;
+      BIH.ColorsImportant = 0;
+
+      std::fwrite(&BFH, sizeof(BFH), 1, FP);
+      std::fwrite(&BIH, sizeof(BIH), 1, FP);
+      std::fwrite(Data, 1, ImageSize, FP);
+
+      std::fclose(FP);
+    }
+
+    template <typename T>
+    static bool checkResult(const char *f_out_str, const char *f_gold_str,
+                            T tolerance) {
+      unsigned char header_out[54];
+      unsigned char header_gold[54];
+      unsigned int width;
+      unsigned int height;
+      unsigned char *img_out, *img_gold;
+      unsigned int i;
+      FILE *f_out;
+      FILE *f_gold;
+
+      f_out = fopen(f_out_str, "rb");
+      if (f_out == NULL) {
+        perror(f_out_str);
+        return false;
+      }
+      if (fread(header_out, 1, 54, f_out) != 54) {
+        perror(f_out_str);
+        return false;
+      }
+
+      f_gold = fopen(f_gold_str, "rb");
+      if (f_gold == NULL) {
+        perror(f_gold_str);
+        return false;
+      }
+      if (fread(header_gold, 1, 54, f_gold) != 54) {
+        perror(f_gold_str);
+        return false;
+      }
+
+      if (header_out[18] != header_gold[18] ||
+          header_out[22] != header_gold[22]) {
+        fclose(f_out);
+        fclose(f_gold);
+        perror("headers are different\n");
+        return false;
+      }
+
+      width = abs(*(short *)&header_out[18]);
+      height = abs(*(short *)&header_out[22]);
+
+      img_out = (unsigned char *)std::malloc(width * height * 3);
+      img_gold = (unsigned char *)std::malloc(width * height * 3);
+
+      if (fread(img_out, 1, width * height * 3, f_out) != width * height * 3) {
+        perror(f_out_str);
+        return false;
+      }
+
+      if (fread(img_gold, 1, width * height * 3, f_gold) !=
+          width * height * 3) {
+        perror(f_gold_str);
+        return false;
+      }
+
+      fclose(f_out);
+      fclose(f_gold);
+
+      for (i = 0; i < width * height * 3; i++) {
+        if (abs(img_out[i] - img_gold[i]) > tolerance) {
+          return false;
+        }
+      }
+
+      return true;
+    }
+  };
+
+  } // end namespace bitmap
+  } // end namespace util
+  } // end namespace intel
+  } // end namespace ext
+} // end __SYCL_INLINE_VER_NAMESPACE(_V1)
+} // namespace sycl
+
+#endif // ESIMD_EXAMPLES_COMMON_BITMAP_HELPERS_H
diff --git a/sycl/test-e2e/ESIMD/linear/linear.cpp b/sycl/test-e2e/ESIMD/linear/linear.cpp
new file mode 100644
index 0000000000000..cd3bdc35f0f31
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/linear/linear.cpp
@@ -0,0 +1,162 @@
+//==---------------- linear.cpp  - DPC++ ESIMD on-device test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -I%S/.. -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %S/linear_in.bmp %S/linear_gold_hw.bmp
+
+#include "bitmap_helpers.h"
+#include "esimd_test_utils.hpp"
+
+#include <array>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+  if (argc != 3) {
+    std::cerr << "Usage: Linear.exe input_file ref_file" << std::endl;
+    exit(1);
+  }
+
+  // Loads an input image named "image_in.bmp".
+  auto input_image = sycl::ext::intel::util::bitmap::BitMap::load(argv[1]);
+
+  // Gets the width and height of the input image.
+  unsigned int width = input_image.getWidth();
+  unsigned int height = input_image.getHeight();
+  unsigned int bpp = input_image.getBPP();
+
+  // Checks the value of width, height and bpp(bits per pixel) of the image.
+  // Only images in 8-bit RGB format are supported.
+  // Only images with width and height a multiple of 8 are supported.
+  if (width & 7 || height & 7 || bpp != 24) {
+    std::cerr << "Error: Only images in 8-bit RGB format with width and "
+              << "height a multiple of 8 are supported.\n";
+    exit(1);
+  }
+
+  // Copies input image to output except for the data.
+  auto output_image = input_image;
+
+  // Sets image size in bytes. There are a total of width*height pixels and
+  // each pixel occupies (out.getBPP()/8) bytes.
+  unsigned int img_size = width * height * bpp / 8;
+
+  // Sets output to blank image.
+  output_image.setData(new unsigned char[img_size]);
+
+  queue q = esimd_test::createQueue();
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    unsigned int img_width = width * bpp / (8 * sizeof(int));
+
+    sycl::image<2> imgInput(
+        (unsigned int *)input_image.getData(), image_channel_order::rgba,
+        image_channel_type::unsigned_int8, range<2>{img_width, height});
+
+    sycl::image<2> imgOutput(
+        (unsigned int *)output_image.getData(), image_channel_order::rgba,
+        image_channel_type::unsigned_int8, range<2>{img_width, height});
+
+    // We need that many workitems
+    uint range_width = width / 8;
+    uint range_height = height / 6;
+    range<2> GlobalRange{range_width, range_height};
+
+    // Number of workitems in a workgroup
+    range<2> LocalRange{1, 1};
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      auto e = q.submit([&](handler &cgh) {
+        auto accInput = imgInput.get_access<uint4, access::mode::read>(cgh);
+        auto accOutput = imgOutput.get_access<uint4, access::mode::write>(cgh);
+
+        cgh.parallel_for<class Test>(
+            GlobalRange * LocalRange, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+
+              simd<unsigned char, 8 * 32> vin;
+              auto in = vin.bit_cast_view<unsigned char, 8, 32>();
+
+              simd<unsigned char, 6 * 24> vout;
+              auto out = vout.bit_cast_view<uchar, 6, 24>();
+
+              simd<float, 6 * 24> vm;
+              auto m = vm.bit_cast_view<float, 6, 24>();
+
+              uint h_pos = it.get_id(0);
+              uint v_pos = it.get_id(1);
+
+              in = media_block_load<unsigned char, 8, 32>(accInput, h_pos * 24,
+                                                          v_pos * 6);
+
+              m = in.select<6, 1, 24, 1>(1, 3);
+              m += in.select<6, 1, 24, 1>(0, 0);
+              m += in.select<6, 1, 24, 1>(0, 3);
+              m += in.select<6, 1, 24, 1>(0, 6);
+              m += in.select<6, 1, 24, 1>(1, 0);
+              m += in.select<6, 1, 24, 1>(1, 6);
+              m += in.select<6, 1, 24, 1>(2, 0);
+              m += in.select<6, 1, 24, 1>(2, 3);
+              m += in.select<6, 1, 24, 1>(2, 6);
+              m = m * 0.111f;
+
+              vout = convert<unsigned char>(vm);
+
+              media_block_store<unsigned char, 6, 24>(accOutput, h_pos * 24,
+                                                      v_pos * 6, out);
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  output_image.save("linear_out.bmp");
+  bool passed = sycl::ext::intel::util::bitmap::BitMap::checkResult(
+      "linear_out.bmp", argv[2], 5);
+
+  if (passed) {
+    std::cerr << "PASSED\n";
+    return 0;
+  } else {
+    std::cerr << "FAILED\n";
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/ESIMD/linear/linear_gold_hw.bmp b/sycl/test-e2e/ESIMD/linear/linear_gold_hw.bmp
new file mode 100644
index 0000000000000..196e93c9ee517
Binary files /dev/null and b/sycl/test-e2e/ESIMD/linear/linear_gold_hw.bmp differ
diff --git a/sycl/test-e2e/ESIMD/linear/linear_in.bmp b/sycl/test-e2e/ESIMD/linear/linear_in.bmp
new file mode 100644
index 0000000000000..b821ab4be18f1
Binary files /dev/null and b/sycl/test-e2e/ESIMD/linear/linear_in.bmp differ
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/common.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/common.hpp
new file mode 100644
index 0000000000000..45c0a99840d93
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/common.hpp
@@ -0,0 +1,27 @@
+//==------- common.hpp - DPC++ ESIMD on-device test ------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include <stdlib.h>
+#include <sycl/bit_cast.hpp>
+
+template <int case_num> class KernelID;
+
+template <typename T> T get_rand() {
+  using Tuint = std::conditional_t<
+      sizeof(T) == 1, uint8_t,
+      std::conditional_t<
+          sizeof(T) == 2, uint16_t,
+          std::conditional_t<sizeof(T) == 4, uint32_t,
+                             std::conditional_t<sizeof(T) == 8, uint64_t, T>>>>;
+  Tuint v = rand();
+  if constexpr (sizeof(Tuint) > 4)
+    v = (v << 32) | rand();
+  return sycl::bit_cast<T>(v);
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_load_prefetch_2d.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_load_prefetch_2d.hpp
new file mode 100644
index 0000000000000..b6a60bdc4e154
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_load_prefetch_2d.hpp
@@ -0,0 +1,273 @@
+//==---------------- lsc_block_load.hpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::esimd::detail;
+using namespace sycl::ext::intel::experimental::esimd;
+using namespace sycl::ext::intel::experimental::esimd::detail;
+
+template <int case_num, typename T, uint32_t Groups, uint32_t Threads,
+          int BlockWidth, int BlockHeight = 1, int NBlocks = 1,
+          bool Transposed = false, bool Transformed = false,
+          cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none,
+          bool use_prefetch = false>
+bool test(unsigned SurfaceWidth, unsigned SurfaceHeight, unsigned SurfacePitch,
+          int X, int Y) {
+  // Some restrictions based on documentation
+  static_assert(!(Transposed && Transformed),
+                "Transposed and transformed is not supported");
+  static_assert(BlockWidth > 0, "Block width must be positive");
+  static_assert(BlockHeight > 0, "Block height must be positive");
+
+  if constexpr (Transposed) {
+    static_assert(NBlocks == 1, "Transposed expected to be 1 block only");
+    static_assert(sizeof(T) >= 4, "Transposed can only use D32 and D64");
+    if constexpr (sizeof(T) == 4) {
+      static_assert(BlockWidth <= 8,
+                    "D32 transposed allow only block width 8 and less");
+      static_assert(BlockHeight <= 32,
+                    "D32 transposed allow only block height 32 and less");
+    }
+    if constexpr (sizeof(T) == 8) {
+      static_assert(BlockWidth == 1 || BlockWidth == 2 || BlockWidth == 4,
+                    "D64 transposed allow only block width 1/2/4");
+      static_assert(BlockHeight == 8,
+                    "D64 transposed allow only block height 8");
+    }
+  } else if constexpr (Transformed) {
+    static_assert(sizeof(T) <= 2, "Transformed can only use D8 and D16");
+    if constexpr (sizeof(T) == 2 && NBlocks == 4) {
+      static_assert(BlockWidth <= 8,
+                    "Transformed D16x4 allow only block width 8 and less");
+    }
+    static_assert((sizeof(T) * BlockWidth) % 4 == 0,
+                  "Transformed block width must be aligned by DW");
+    static_assert(BlockWidth <= 16,
+                  "Transformed block width must be 16 and less");
+    static_assert(BlockWidth >= (4 / sizeof(T)),
+                  "Minimal transformed block width depends on data size");
+    static_assert(BlockHeight <= 32,
+                  "Transformed block height must be 32 and less");
+    static_assert(BlockHeight >= (4 / sizeof(T)),
+                  "Minimal transformed block height depends on data size");
+  } else {
+    static_assert((sizeof(T) * BlockWidth) % 4 == 0,
+                  "Block width must be aligned by DW");
+    static_assert(sizeof(T) * BlockWidth * NBlocks <= 64,
+                  "Total block width must be 64B or less");
+    static_assert(BlockHeight <= 32, "Block height must be 32 or less");
+    if constexpr (sizeof(T) == 4) {
+      static_assert(NBlocks < 4, "D32 restricted to use 1 or 2 blocks only");
+    }
+    if constexpr (sizeof(T) == 8) {
+      static_assert(NBlocks < 2, "D64 restricted to use 1 block only");
+    }
+  }
+
+  constexpr int N =
+      get_lsc_block_2d_data_size<T, NBlocks, BlockHeight, BlockWidth,
+                                 Transposed, Transformed>();
+  /* Due to store_2d a is subject to stricter restrictions:
+   *   NBlocks always 1, no Transposed, no Transformed, max BlockHeight 8.
+   * Series of 2d stores with height 1 are used to write loaded data to output
+   * buffer. Also Transformed load_2d extends BlockWidth to the next power of 2
+   * and rounds up BlockHeight.
+   */
+  constexpr int SH = Transformed
+                         ? roundUpNextMultiple<BlockHeight, 4 / sizeof(T)>()
+                         : BlockHeight;
+  constexpr int SW = Transformed ? getNextPowerOf2<BlockWidth>() : BlockWidth;
+  constexpr int SN = get_lsc_block_2d_data_size<T, 1u, 1u, SW, false, false>();
+
+  std::cout << "N  = " << N << std::endl;
+  std::cout << "SN = " << SN << std::endl;
+  std::cout << "W  = " << BlockWidth << " SW = " << SW << std::endl;
+  std::cout << "H  = " << BlockHeight << " SH = " << SH << std::endl;
+
+  T old_val = get_rand<T>();
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running case #" << case_num << " on "
+            << dev.get_info<sycl::info::device::name>() << "\n";
+  auto ctx = q.get_context();
+
+  // workgroups
+  sycl::range<1> GlobalRange{Groups};
+  // threads in each group
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  unsigned SurfaceSize = SurfacePitch * SurfaceHeight * NBlocks;
+  unsigned Size = SurfaceSize * Groups * Threads;
+
+  T *out = static_cast<T *>(sycl::malloc_shared(Size * sizeof(T), dev, ctx));
+  for (int i = 0; i < Size; i++)
+    out[i] = old_val;
+
+  T *in = static_cast<T *>(sycl::malloc_shared(Size * sizeof(T), dev, ctx));
+  for (int i = 0; i < Size; i++)
+    in[i] = get_rand<T>();
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            uint16_t globalID = ndi.get_global_id(0);
+            uint32_t off = globalID * SurfaceSize;
+
+            unsigned width = SurfaceWidth * sizeof(T) - 1;
+            unsigned height = SurfaceHeight - 1;
+            unsigned pitch = SurfacePitch * sizeof(T) - 1;
+
+            simd<T, N> vals;
+            if constexpr (use_prefetch) {
+              lsc_prefetch_2d<T, BlockWidth, BlockHeight, NBlocks, L1H, L3H>(
+                  in + off, width, height, pitch, X, Y);
+              vals = lsc_load_2d<T, BlockWidth, BlockHeight, NBlocks,
+                                 Transposed, Transformed>(in + off, width,
+                                                          height, pitch, X, Y);
+            } else {
+              vals = lsc_load_2d<T, BlockWidth, BlockHeight, NBlocks,
+                                 Transposed, Transformed, L1H, L3H>(
+                  in + off, width, height, pitch, X, Y);
+            }
+
+            for (int i = 0; i < NBlocks; i++) {
+              for (int j = 0; j < SH; j++) {
+                simd<T, SN> v =
+                    vals.template select<SN, 1>(i * SN * SH + j * SW);
+                lsc_store_2d<T, SW>(
+                    out + off, SurfaceWidth * sizeof(T) - 1, SurfaceHeight - 1,
+                    SurfacePitch * sizeof(T) - 1, X + i * SW, Y + j, v);
+              }
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(out, ctx);
+    sycl::free(in, ctx);
+    return false;
+  }
+
+  bool passed = true;
+
+  if constexpr (Transposed) {
+    for (int gid = 0; gid < Groups * Threads; gid++) {
+      int dx = 0, dy = 0;
+      for (int j = 0; j < SurfaceHeight; j++) {
+        for (int i = 0; i < SurfacePitch; i++) {
+          T e = old_val;
+          // index in linear buffer
+          int idx = i + j * SurfacePitch + gid * SurfaceSize;
+
+          // check if inside block
+          if ((i >= X) && (i < X + BlockWidth) && (j >= Y) &&
+              (j < Y + BlockHeight)) {
+            if (i < SurfaceWidth) {
+              if (X + dx < SurfaceWidth)
+                e = in[(X + dx) + (Y + dy) * SurfacePitch + gid * SurfaceSize];
+              else
+                e = (T)0;
+            }
+            dy += 1;
+            if (dy == BlockHeight) {
+              dy = 0;
+              dx += 1;
+            }
+          }
+
+          if (out[idx] != e) {
+            passed = false;
+            std::cout << "out" << idx << "] = 0x" << std::hex
+                      << (uint64_t)out[idx] << " vs etalon = 0x" << (uint64_t)e
+                      << std::dec << std::endl;
+          }
+        }
+      }
+    }
+  } else if constexpr (Transformed) {
+    constexpr int scale = 4 / sizeof(T);
+    for (int gid = 0; gid < Groups * Threads; gid++) {
+      for (int j = 0; j < SurfaceHeight; j++) {
+        for (int i = 0; i < SurfacePitch; i++) {
+          T e = old_val;
+          // index in linear buffer
+          int idx = i + j * SurfacePitch + gid * SurfaceSize;
+
+          // check if inside block
+          if ((i >= X) && (i < X + SW * NBlocks) && (j >= Y) && (j < Y + SH)) {
+            int di = i - X;
+            int dj = j - Y;
+            int bn = di / SW;
+
+            int dx, dy;
+            dx = di / scale + bn * (BlockWidth - SW / scale) +
+                 (dj % scale) * SW / scale;
+            dy = dj + di % scale - dj % scale;
+
+            if (i < SurfaceWidth) {
+              if (dx < BlockWidth * (bn + 1) && (dx + X) < SurfaceWidth &&
+                  (dy + Y) < SurfaceHeight)
+                e = in[(X + dx) + (Y + dy) * SurfacePitch + gid * SurfaceSize];
+              else
+                e = (T)0;
+            }
+          }
+
+          if (out[idx] != e) {
+            passed = false;
+            std::cout << std::hex << "out[0x" << idx << "] = 0x"
+                      << (uint64_t)out[idx] << " vs etalon = 0x" << (uint64_t)e
+                      << std::dec << std::endl;
+          }
+        }
+      }
+    }
+  } else {
+    for (int gid = 0; gid < Groups * Threads; gid++) {
+      for (int j = 0; j < SurfaceHeight; j++) {
+        for (int i = 0; i < SurfacePitch; i++) {
+          T e = old_val;
+          // index in linear buffer
+          int idx = i + j * SurfacePitch + gid * SurfaceSize;
+
+          // check if inside block
+          if ((i >= X) && (i < X + BlockWidth * NBlocks) &&
+              (i < SurfaceWidth) && (j >= Y) && (j < Y + BlockHeight))
+            e = in[idx];
+
+          if (out[idx] != e) {
+            passed = false;
+            std::cout << "out[" << idx << "] = 0x" << std::hex
+                      << (uint64_t)out[idx] << " vs etalon = 0x" << (uint64_t)e
+                      << std::dec << std::endl;
+          }
+        }
+      }
+    }
+  }
+
+  if (!passed)
+    std::cout << "Case #" << case_num << " FAILED" << std::endl;
+
+  sycl::free(out, ctx);
+  sycl::free(in, ctx);
+
+  return passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_slm_load.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_slm_load.hpp
new file mode 100644
index 0000000000000..99288b0cefd51
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_slm_load.hpp
@@ -0,0 +1,165 @@
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "../../esimd_test_utils.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <typename T, uint32_t Groups, uint32_t LocalRange, uint16_t VL,
+          uint16_t NChannels, bool Transpose, bool TestMergeOperand,
+          lsc_data_size DS = lsc_data_size::default_size>
+bool test(queue Q, uint32_t PMask = ~0) {
+  using Tuint = esimd_test::uint_type_t<sizeof(T)>;
+
+  static_assert((NChannels == 1) || !Transpose,
+                "Transpose must have exec size 1");
+  if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32) {
+    static_assert(!Transpose, "Conversion types may not use vector");
+    static_assert(NChannels == 1, "Only D32 and D64 support vector load");
+  }
+
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+  static_assert(sizeof(T) >= 4,
+                "D8 and D16 are valid only in 2D block load/store");
+
+  if constexpr (!Transpose && NChannels > 1) {
+    static_assert(VL == 16 || VL == 32,
+                  "IGC prohibits execution size less than SIMD size when "
+                  "vector size is greater than 1");
+  }
+
+  std::cout << "Running test: T=" << esimd_test::type_name<T>() << ", VL=" << VL
+            << ", NChannels=" << NChannels
+            << ", DS=" << esimd_test::toString(DS)
+            << ", Transpose=" << Transpose
+            << ", TestMergeOperand=" << TestMergeOperand
+            << ", Groups=" << Groups << ", LocalRange=" << LocalRange
+            << std::endl;
+
+  Tuint VMask = static_cast<Tuint>(-1);
+  if constexpr (DS == lsc_data_size::u8u32)
+    VMask = 0xff;
+  else if constexpr (DS == lsc_data_size::u16u32)
+    VMask = 0xffff;
+  else if constexpr (DS == lsc_data_size::u16u32h)
+    VMask = 0xffff0000;
+
+  nd_range<1> Range{range<1>{Groups * LocalRange}, range<1>{LocalRange}};
+  uint32_t OutSize = Groups * LocalRange * VL * NChannels;
+  T *Out = malloc_shared<T>(OutSize, Q);
+  memset(Out, 0, OutSize * sizeof(T));
+  T MergeValue = 2;
+
+  try {
+    Q.parallel_for(Range, [=](sycl::nd_item<1> NDId) SYCL_ESIMD_KERNEL {
+       uint32_t GID = NDId.get_global_id(0);
+       uint32_t LID = NDId.get_local_id(0);
+       uint32_t GroupID = NDId.get_group_linear_id();
+
+       // Allocate and init 128-byte multiple size SLM memory with
+       // consequential values. i-th group gets values:
+       // {0, 1, 2, ...} + GroupID * 1000000.
+       constexpr uint32_t ResultSIMDByteSize = VL * NChannels * sizeof(T);
+       constexpr uint32_t SLMSize =
+           (ResultSIMDByteSize * LocalRange + 127) & ~127;
+       slm_init<SLMSize>();
+       if (NDId.get_local_id(0) == 0) {
+         simd<Tuint, 4> Vals(GroupID * 1000000, 1);
+         for (int I = 0; I < SLMSize; I += 4 * sizeof(T)) {
+           slm_block_store<Tuint, 4>(I, Vals);
+           Vals += 4;
+         }
+       }
+       barrier();
+
+       if constexpr (Transpose) {
+         if constexpr (TestMergeOperand) {
+           simd_mask<1> Pred =
+               (GID & 0x1) == 0; // Do actual load of even elements.
+           simd<T, VL> OldValues(GID, 1);
+           auto Vals = lsc_slm_block_load<T, VL, DS>(LID * VL * sizeof(T), Pred,
+                                                     OldValues);
+           Vals.copy_to(Out + GID * VL);
+         } else {
+           auto Vals = lsc_slm_block_load<T, VL, DS>(LID * VL * sizeof(T));
+           Vals.copy_to(Out + GID * VL);
+         }
+       } else {
+         simd<uint32_t, VL> Offsets(LID * VL * NChannels * sizeof(T),
+                                    NChannels * sizeof(T));
+
+         // Create  the predicate for the gather from 'PMask'.
+         simd_mask<VL> Pred;
+         for (int I = 0; I < VL; I++)
+           Pred.template select<1, 1>(I) = (PMask >> I) & 1;
+
+         simd<T, VL * NChannels> Vals;
+         if constexpr (TestMergeOperand) {
+           simd<T, VL *NChannels> OldVals = MergeValue;
+           Vals = lsc_slm_gather<T, NChannels, DS>(Offsets, Pred, OldVals);
+         } else {
+           Vals = lsc_slm_gather<T, NChannels, DS>(Offsets, Pred);
+         }
+
+         Vals.copy_to(Out + GID * VL * NChannels);
+       }
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(Out, Q);
+    return false;
+  }
+
+  int NErrors = 0;
+
+  if constexpr (Transpose) {
+    for (uint32_t I = 0; I < OutSize; I++) {
+      uint32_t GroupId = I / (LocalRange * VL * NChannels);
+      uint32_t LID = I % (LocalRange * VL * NChannels);
+      uint32_t GID = I / VL;
+      bool Pred = (GID & 0x1) == 0;
+      T ExpectedVal = GroupId * 1000000 + LID;
+      if (TestMergeOperand && !Pred)
+        ExpectedVal = GID + (I % VL);
+
+      if (Out[I] != ExpectedVal && NErrors++ < 32) {
+        std::cout << "Error: " << I << ": Value = " << Out[I]
+                  << ", Expected value = " << ExpectedVal << std::endl;
+      }
+    }
+  } else {
+    for (uint32_t I = 0; I < OutSize; I += VL * NChannels) {
+      uint32_t GroupId = I / (LocalRange * VL * NChannels);
+      uint32_t LID = I % (LocalRange * VL * NChannels);
+      Tuint ExpectedValBase = GroupId * 1000000 + LID;
+      for (int ChannelId = 0; ChannelId < NChannels; ChannelId++) {
+        for (int J = 0; J < VL; J++) {
+          uint32_t OutIndex = I + ChannelId * VL + J;
+
+          bool IsMaskSet = (PMask >> J) & 1;
+          if (!TestMergeOperand && !IsMaskSet)
+            continue;
+          Tuint ExpectedVal =
+              IsMaskSet ? (ExpectedValBase + ChannelId + J * NChannels) & VMask
+                        : sycl::bit_cast<Tuint>(MergeValue);
+          Tuint ComputedVal = sycl::bit_cast<Tuint>(Out[OutIndex]);
+          if (ComputedVal != ExpectedVal && NErrors++ < 32) {
+            std::cout << "Error: " << OutIndex << ": Value = " << ComputedVal
+                      << ", Expected value = " << ExpectedVal
+                      << ", Mask = " << IsMaskSet << std::endl;
+          }
+        }
+      }
+    }
+  }
+
+  sycl::free(Out, Q);
+
+  if (NErrors)
+    std::cout << " FAILED" << std::endl;
+  return NErrors == 0;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_slm_store.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_slm_store.hpp
new file mode 100644
index 0000000000000..0db95b3499ef6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_slm_store.hpp
@@ -0,0 +1,165 @@
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int CaseNum, typename T, uint32_t Groups, uint32_t LocalRange,
+          uint16_t VL, uint16_t NChannels, bool Transpose,
+          lsc_data_size DS = lsc_data_size::default_size>
+bool test(uint32_t PMask = ~0) {
+  static_assert((NChannels == 1) || !Transpose,
+                "Transpose must have exec size 1");
+  if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32) {
+    static_assert(!Transpose, "Conversion types may not use vector");
+    static_assert(NChannels == 1, "Only D32 and D64 support vector load");
+  }
+
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+  static_assert(sizeof(T) >= 4,
+                "D8 and D16 are valid only in 2D block load/store");
+
+  if constexpr (!Transpose && NChannels > 1) {
+    static_assert(VL == 16 || VL == 32,
+                  "IGC prohibits execution size less than SIMD size when "
+                  "vector size is greater than 1");
+  }
+
+  T VMask = static_cast<T>(-1);
+  if constexpr (DS == lsc_data_size::u8u32)
+    VMask = static_cast<T>(0xff);
+  else if constexpr (DS == lsc_data_size::u16u32)
+    VMask = static_cast<T>(0xffff);
+  else if constexpr (DS == lsc_data_size::u16u32h)
+    VMask = static_cast<T>(0xffff0000);
+
+  queue Q(gpu_selector_v);
+  auto D = Q.get_device();
+  std::cout << "Running case #" << CaseNum << " on "
+            << D.get_info<sycl::info::device::name>() << std::endl;
+
+  nd_range<1> Range{range<1>{Groups * LocalRange}, range<1>{LocalRange}};
+  constexpr uint16_t OutSize = Groups * LocalRange * VL * NChannels;
+  T *Out = malloc_shared<T>(OutSize, Q);
+  memset(Out, 0, OutSize * sizeof(T));
+
+  try {
+    Q.submit([&](handler &cgh) {
+       cgh.parallel_for(Range, [=](sycl::nd_item<1> NDId) SYCL_ESIMD_KERNEL {
+         uint32_t GID = NDId.get_global_id(0);
+         uint32_t LID = NDId.get_local_id(0);
+         uint32_t GroupID = NDId.get_group_linear_id();
+
+         // 1. Allocate and init 128-byte multiple size SLM memory with special
+         // values.
+         constexpr uint32_t ResultSIMDByteSize = VL * NChannels * sizeof(T);
+         constexpr uint32_t SLMSize =
+             (ResultSIMDByteSize * LocalRange + 127) & ~127;
+         slm_init(SLMSize);
+         if (NDId.get_local_id(0) == 0) {
+           simd<T, 4> Vals = static_cast<T>(0xBAADF00DBAADF00D);
+           for (int I = 0; I < SLMSize; I += 4 * sizeof(T))
+             slm_block_store<T, 4>(I, Vals);
+         }
+         barrier();
+
+         // 2. Use STORE intrinscis that are being verified in this test.
+         if constexpr (Transpose) {
+           simd<T, VL> Vals(GroupID * 1000000 + LID * 1000, 1);
+           lsc_slm_block_store<T, VL, DS>(LID * VL * sizeof(T), Vals);
+         } else {
+
+           // Create  the predicate for the gather from 'PMask'.
+           simd_mask<VL> Pred;
+           for (int I = 0; I < VL; I++)
+             Pred.template select<1, 1>(I) = (PMask >> I) & 1;
+
+           simd<T, VL * NChannels> Vals(GroupID * 1000000 + LID * 1000, 1);
+           simd<uint32_t, VL> Offsets(LID * VL * NChannels * sizeof(T),
+                                      NChannels * sizeof(T));
+           lsc_slm_scatter<T, NChannels, DS>(Offsets, Vals, Pred);
+         }
+         barrier();
+
+         // 3. Simply load the content of SLM and store it to USM.
+         if (NDId.get_local_id(0) == 0) {
+           int End = LocalRange * VL * NChannels;
+           for (int I = 0; I < End; I += 4) {
+             auto Vals = slm_block_load<T, 4>(I * sizeof(T));
+
+             // If 'VL' is small, simd<T, 4> cannot be safely used
+             if (I + 4 > End) {
+               for (int J = 0; J + I < End; J++)
+                 Out[GroupID * LocalRange * VL * NChannels + I + J] =
+                     (T)Vals[J];
+             } else {
+               Vals.copy_to(Out + GroupID * LocalRange * VL * NChannels + I);
+             }
+           }
+         }
+       });
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(Out, Q);
+    return false;
+  }
+
+  bool Passed = true;
+
+  if constexpr (Transpose) {
+    for (uint32_t I = 0; I < OutSize; I++) {
+      uint32_t GroupId = I / (LocalRange * VL);
+      uint32_t LID = I / VL % LocalRange;
+      T ExpectedVal = GroupId * 1000000 + LID * 1000 + I % VL;
+      if (Out[I] != ExpectedVal) {
+        Passed = false;
+        std::cout << I << ": Value = " << Out[I]
+                  << ", Expected value = " << ExpectedVal << std::endl;
+      }
+    }
+  } else {
+    for (uint32_t I = 0; I < OutSize; I += VL * NChannels) {
+      uint32_t GroupId = I / (LocalRange * VL * NChannels);
+      uint32_t LID = I / (VL * NChannels) % LocalRange;
+      T ExpectedValBase = GroupId * 1000000 + LID * 1000 + I % (VL * NChannels);
+      T ExpectedValInc = 0;
+      uint32_t MaskIndex = 0;
+      uint32_t MaskIndexTimer = 0;
+      for (int ChannelId = 0; ChannelId < NChannels; ChannelId++) {
+        for (int J = 0; J < VL; J++) {
+          uint32_t OutIndex = I + ChannelId * VL + J;
+          T ExpectedVal = ((PMask >> MaskIndex) & 1)
+                              ? (ExpectedValBase + ExpectedValInc)
+                              : static_cast<T>(0xBAADF00DBAADF00D);
+          ExpectedVal &= VMask;
+          MaskIndexTimer++;
+          if (MaskIndexTimer >= NChannels) {
+            MaskIndexTimer = 0;
+            MaskIndex++;
+          }
+
+          ExpectedValInc += VL;
+          if (ExpectedValInc >= VL * NChannels)
+            ExpectedValInc = (ExpectedValInc % (VL * NChannels)) + 1;
+
+          T OutVal = Out[OutIndex] & VMask;
+          if (OutVal != ExpectedVal) {
+            Passed = false;
+            std::cout << OutIndex << ": Value = " << Out[OutIndex]
+                      << ", Expected value = " << ExpectedVal << std::endl;
+          }
+        }
+      }
+    }
+  }
+
+  sycl::free(Out, Q);
+
+  if (!Passed)
+    std::cout << "Case #" << CaseNum << " FAILED" << std::endl;
+  return Passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_store_2d.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_store_2d.hpp
new file mode 100644
index 0000000000000..4a4c85615d7ec
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_store_2d.hpp
@@ -0,0 +1,141 @@
+//==---------------- lsc_store_2d.hpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <unsigned int N, unsigned int M>
+constexpr unsigned int roundUpNextMultiple() {
+  return ((N + M - 1) / M) * M;
+}
+
+/// Compute next power of 2 of a constexpr with guaranteed compile-time
+/// evaluation.
+template <unsigned int N, unsigned int K, bool K_gt_eq_N> struct NextPowerOf2;
+template <unsigned int N, unsigned int K> struct NextPowerOf2<N, K, true> {
+  static constexpr unsigned int get() { return K; }
+};
+template <unsigned int N, unsigned int K> struct NextPowerOf2<N, K, false> {
+  static constexpr unsigned int get() {
+    return NextPowerOf2<N, K * 2, K * 2 >= N>::get();
+  }
+};
+
+template <unsigned int N> constexpr unsigned int getNextPowerOf2() {
+  return NextPowerOf2<N, 1, (1 >= N)>::get();
+}
+template <> constexpr unsigned int getNextPowerOf2<0>() { return 0; }
+
+// Compute the data size for 2d block load or store.
+template <typename T, int NBlocks, int Height, int Width, bool Transposed,
+          bool Transformed>
+constexpr int get_lsc_block_2d_data_size() {
+  if (Transformed)
+    return roundUpNextMultiple<Height, 4 / sizeof(T)>() *
+           getNextPowerOf2<Width>() * NBlocks;
+  return Width * Height * NBlocks;
+}
+
+template <int case_num, typename T, uint32_t Groups, uint32_t Threads,
+          int BlockWidth, int BlockHeight = 1,
+          int N = get_lsc_block_2d_data_size<T, 1u, BlockHeight, BlockWidth,
+                                             false, false>(),
+          cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none>
+bool test(unsigned SurfaceWidth, unsigned SurfaceHeight, unsigned SurfacePitch,
+          int X, int Y) {
+  static_assert(BlockWidth > 0, "Block width must be positive");
+  static_assert(BlockHeight > 0, "Block height must be positive");
+  static_assert((sizeof(T) * BlockWidth) % 4 == 0,
+                "Block width must be aligned by DW");
+  static_assert(sizeof(T) * BlockWidth <= 64,
+                "Block width must be 64B or less");
+  static_assert(BlockHeight <= 8, "Block height must be 8 or less");
+
+  T old_val = get_rand<T>();
+  T new_val = get_rand<T>();
+
+  auto GPUSelector = gpu_selector_v;
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running case #" << case_num << " on "
+            << dev.get_info<sycl::info::device::name>() << "\n";
+  auto ctx = q.get_context();
+
+  // workgroups
+  sycl::range<1> GlobalRange{Groups};
+  // threads in each group
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  unsigned SurfaceSize = SurfacePitch * SurfaceHeight;
+  unsigned Size = SurfaceSize * Groups * Threads;
+
+  T *out = static_cast<T *>(sycl::malloc_shared(Size * sizeof(T), dev, ctx));
+  for (int i = 0; i < Size; i++)
+    out[i] = old_val;
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            uint16_t globalID = ndi.get_global_id(0);
+            uint32_t off = globalID * SurfaceSize;
+
+            simd<T, N> vals(new_val + off, 1);
+            // IUT
+            lsc_store_2d<T, BlockWidth, BlockHeight, L1H, L3H>(
+                out + off, SurfaceWidth * sizeof(T) - 1, SurfaceHeight - 1,
+                SurfacePitch * sizeof(T) - 1, X, Y, vals);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(out, ctx);
+    return false;
+  }
+
+  bool passed = true;
+  for (int gid = 0; gid < Groups * Threads; gid++) {
+    T val = new_val + gid * SurfaceSize;
+
+    for (int j = 0; j < SurfaceHeight; j++) {
+      for (int i = 0; i < SurfacePitch; i++) {
+        T e = old_val;
+        // check if inside block
+        if ((i >= X) && (i < X + BlockWidth) && (i < SurfaceWidth) &&
+            (j >= Y) && (j < Y + BlockHeight))
+          e = val++;
+
+        // index in linear buffer
+        int idx = i + j * SurfacePitch + gid * SurfaceSize;
+        if (out[idx] != e) {
+          passed = false;
+          std::cout << "out[" << idx << "] = 0x" << std::hex
+                    << (uint64_t)out[idx] << " vs etalon = 0x" << (uint64_t)e
+                    << std::dec << std::endl;
+        }
+      }
+    }
+  }
+
+  if (!passed)
+    std::cout << "Case #" << case_num << " FAILED" << std::endl;
+
+  sycl::free(out, ctx);
+
+  return passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf.hpp
new file mode 100644
index 0000000000000..5a953950b5666
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf.hpp
@@ -0,0 +1,103 @@
+//==------------ lsc_surf.hpp - DPC++ ESIMD on-device test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "../../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <cmath>
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+int main() {
+  using namespace sycl;
+  using namespace sycl::ext::intel::esimd;
+  using namespace sycl::ext::intel::experimental::esimd;
+  auto size = size_t{128};
+  auto constexpr SIMDSize = unsigned{4};
+
+  auto q =
+      queue{esimd_test::ESIMDSelector, esimd_test::createExceptionHandler()};
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<sycl::info::device::name>()
+            << std::endl;
+
+  auto vec_0 = std::vector<int>(size);
+  auto vec_1 = std::vector<int>(size);
+  auto vec_2 = std::vector<int>(size);
+  auto vec_3 = std::vector<int>(size);
+  auto vec_4 = std::vector<int>(size);
+  std::iota(vec_0.begin(), vec_0.end(), 0);
+  std::iota(vec_1.begin(), vec_1.end(), 0);
+  std::iota(vec_2.begin(), vec_2.end(), 0);
+  std::iota(vec_3.begin(), vec_3.end(), 0);
+  std::iota(vec_4.begin(), vec_4.end(), 0);
+  auto buf_0 = buffer{vec_0};
+  auto buf_1 = buffer{vec_1};
+  auto buf_2 = buffer{vec_2};
+  auto buf_3 = buffer{vec_3};
+  auto buf_4 = buffer{vec_4};
+
+  try {
+    q.submit([&](handler &h) {
+      auto access_0 = buf_0.template get_access<access::mode::read_write>(h);
+      auto access_1 = buf_1.template get_access<access::mode::read_write>(h);
+      auto access_2 = buf_2.template get_access<access::mode::read_write>(h);
+      auto access_3 = buf_3.template get_access<access::mode::read_write>(h);
+      auto access_4 = buf_4.template get_access<access::mode::read_write>(h);
+      h.parallel_for<class SimplestKernel>(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize * sizeof(int);
+            auto offsets = simd<uint32_t, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                    sizeof(int));
+            auto pred = simd_mask<SIMDSize>(1);
+            auto add = simd<int, SIMDSize>(5);
+            auto compare = simd<int, SIMDSize>(id * SIMDSize, 1);
+            auto swap = compare * 2;
+
+            lsc_prefetch<int, SIMDSize, lsc_data_size::default_size,
+                         cache_hint::cached, cache_hint::uncached>(access_0,
+                                                                   offset);
+            auto data_0 = lsc_block_load<int, SIMDSize>(access_0, offset);
+            lsc_block_store<int, SIMDSize>(access_0, offset, data_0 * 2);
+
+            lsc_prefetch<int, 1, lsc_data_size::default_size,
+                         cache_hint::cached, cache_hint::uncached>(access_1,
+                                                                   offsets);
+            auto data_1 = lsc_gather<int>(access_1, offsets);
+            lsc_scatter<int>(access_1, offsets, data_1 * 2);
+
+            lsc_atomic_update<atomic_op::inc, int>(access_2, offsets, pred);
+            lsc_atomic_update<atomic_op::add, int>(access_3, offsets, add,
+                                                   pred);
+            lsc_atomic_update<atomic_op::cmpxchg, int>(access_4, offsets,
+                                                       compare, swap, pred);
+          });
+    });
+    q.wait();
+    buf_0.template get_access<access::mode::read_write>();
+    buf_1.template get_access<access::mode::read_write>();
+    buf_2.template get_access<access::mode::read_write>();
+    buf_3.template get_access<access::mode::read_write>();
+    buf_4.template get_access<access::mode::read_write>();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i != size; ++i) {
+    error += std::abs(vec_0[i] - (i * 2));
+    error += std::abs(vec_1[i] - (i * 2));
+    error += std::abs(vec_2[i] - (i + 1));
+    error += std::abs(vec_3[i] - (i + 5));
+    error += std::abs(vec_4[i] - (i * 2));
+  }
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf_load.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf_load.hpp
new file mode 100644
index 0000000000000..97ad1a68dfadd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf_load.hpp
@@ -0,0 +1,170 @@
+//==------- lsc_surf_load.hpp - DPC++ ESIMD on-device test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <
+    int case_num, typename T, uint32_t Groups, uint32_t Threads, uint16_t VL,
+    uint16_t VS, bool transpose, lsc_data_size DS = lsc_data_size::default_size,
+    cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none,
+    bool use_prefetch = false, typename Flags = __ESIMD_NS::overaligned_tag<4>>
+bool test(uint32_t pmask = 0xffffffff) {
+  static_assert((VL == 1) || !transpose, "Transpose must have exec size 1");
+  if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32) {
+    static_assert(!transpose, "Conversion types may not use vector");
+    static_assert(VS == 1, "Only D32 and D64 support vector load");
+  }
+
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+
+  if constexpr (!transpose && VS > 1) {
+    static_assert(VL == 16 || VL == 32,
+                  "IGC prohibits execution size less than SIMD size when "
+                  "vector size is greater than 1");
+  }
+
+  uint16_t Size = Groups * Threads * VL * VS;
+  using Tuint = sycl::_V1::ext::intel::esimd::detail::uint_type_t<sizeof(T)>;
+  Tuint vmask = (Tuint)-1;
+  if constexpr (DS == lsc_data_size::u8u32)
+    vmask = (T)0xff;
+  if constexpr (DS == lsc_data_size::u16u32)
+    vmask = (T)0xffff;
+  if constexpr (DS == lsc_data_size::u16u32h)
+    vmask = (T)0xffff0000;
+
+  T old_val = get_rand<T>();
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running case #" << case_num << " on "
+            << dev.get_info<sycl::info::device::name>() << "\n";
+  auto ctx = q.get_context();
+
+  // workgroups
+  sycl::range<1> GlobalRange{Groups};
+  // threads in each group
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  using aligned_allocator =
+      sycl::usm_allocator<T, sycl::usm::alloc::shared,
+                          Flags::template alignment<__ESIMD_DNS::__raw_t<T>>>;
+  aligned_allocator Allocator(q);
+
+  std::vector<T, aligned_allocator> out(Size, old_val, Allocator);
+  std::vector<T, aligned_allocator> in(Size, Allocator);
+  for (int i = 0; i < Size; i++)
+    in[i] = get_rand<T>();
+
+  try {
+    buffer<T, 1> bufo(out.data(), out.size());
+    buffer<T, 1> bufi(in.data(), in.size());
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acco = bufo.template get_access<access::mode::write>(cgh);
+      auto acci = bufi.template get_access<access::mode::read>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            uint16_t globalID = ndi.get_global_id(0);
+            uint32_t elem_off = globalID * VL * VS;
+            uint32_t byte_off = elem_off * sizeof(T);
+
+            if constexpr (transpose) {
+              simd<T, VS> vals;
+              if constexpr (use_prefetch) {
+                lsc_prefetch<T, VS, DS, L1H, L3H>(acci, byte_off);
+                if constexpr (sizeof(T) < 8) {
+                  vals = lsc_block_load<T, VS, DS, L1H, L3H>(acci, byte_off,
+                                                             Flags{});
+                } else {
+                  vals = lsc_block_load<T, VS, DS, L1H, L3H>(acci, byte_off);
+                }
+              } else {
+                if constexpr (sizeof(T) < 8) {
+                  vals = lsc_block_load<T, VS, DS, L1H, L3H>(acci, byte_off,
+                                                             Flags{});
+                } else {
+                  vals = lsc_block_load<T, VS, DS, L1H, L3H>(acci, byte_off);
+                }
+              }
+              if constexpr (sizeof(T) < 8) {
+                lsc_block_store<T, VS, DS>(acco, byte_off, vals, Flags{});
+              } else {
+                lsc_block_store<T, VS, DS>(acco, byte_off, vals);
+              }
+            } else {
+              simd<uint32_t, VL> offset(byte_off, VS * sizeof(T));
+              simd_mask<VL> pred;
+              for (int i = 0; i < VL; i++)
+                pred.template select<1, 1>(i) = (pmask >> i) & 1;
+
+              simd<T, VS * VL> vals;
+              if constexpr (use_prefetch) {
+                lsc_prefetch<T, VS, DS, L1H, L3H, VL>(acci, offset, pred);
+                vals = lsc_gather<T, VS, DS, cache_hint::none, cache_hint::none,
+                                  VL>(acci, offset, pred);
+              } else {
+                vals = lsc_gather<T, VS, DS, L1H, L3H, VL>(acci, offset, pred);
+              }
+
+              if constexpr (DS == lsc_data_size::u8u32 ||
+                            DS == lsc_data_size::u16u32)
+                vals &= vmask;
+
+              lsc_scatter<T, VS, lsc_data_size::default_size, cache_hint::none,
+                          cache_hint::none, VL>(acco, offset, vals, pred);
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+
+  if constexpr (transpose) {
+    for (int i = 0; i < Size; i++) {
+      Tuint e = sycl::bit_cast<Tuint>(in[i]);
+      Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+      if (out_val != e) {
+        passed = false;
+        std::cout << "out[" << i << "] = 0x" << std::hex << out_val
+                  << " vs etalon = 0x" << e << std::dec << std::endl;
+      }
+    }
+  } else {
+    for (int i = 0; i < Size; i++) {
+      Tuint in_val = sycl::bit_cast<Tuint>(in[i]);
+      Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+      Tuint e = (pmask >> ((i / VS) % VL)) & 1 ? in_val & vmask
+                                               : sycl::bit_cast<Tuint>(old_val);
+      if (out_val != e) {
+        passed = false;
+        std::cout << "out[" << i << "] = 0x" << std::hex << out_val
+                  << " vs etalon = 0x" << e << std::dec << std::endl;
+      }
+    }
+  }
+
+  if (!passed)
+    std::cout << "Case #" << case_num << " FAILED" << std::endl;
+
+  return passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf_store.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf_store.hpp
new file mode 100644
index 0000000000000..0331db4ba8a73
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_surf_store.hpp
@@ -0,0 +1,146 @@
+//==------- lsc_surf_store.hpp - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num, typename T, uint32_t Groups, uint32_t Threads,
+          uint16_t VL, uint16_t VS, bool transpose,
+          lsc_data_size DS = lsc_data_size::default_size,
+          cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none,
+          typename Flags = __ESIMD_NS::overaligned_tag<4>>
+bool test(uint32_t pmask = 0xffffffff) {
+  static_assert((VL == 1) || !transpose, "Transpose must have exec size 1");
+  if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32) {
+    static_assert(!transpose, "Conversion types may not use vector");
+    static_assert(VS == 1, "Only D32 and D64 support vector load");
+  }
+
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+
+  if constexpr (!transpose && VS > 1) {
+    static_assert(VL == 16 || VL == 32,
+                  "IGC prohibits execution size less than SIMD size when "
+                  "vector size is greater than 1");
+  }
+
+  uint16_t Size = Groups * Threads * VL * VS;
+  using Tuint = sycl::_V1::ext::intel::esimd::detail::uint_type_t<sizeof(T)>;
+  Tuint vmask = (Tuint)-1;
+  if constexpr (DS == lsc_data_size::u8u32)
+    vmask = (T)0xff;
+  if constexpr (DS == lsc_data_size::u16u32)
+    vmask = (T)0xffff;
+  if constexpr (DS == lsc_data_size::u16u32h)
+    vmask = (T)0xffff0000;
+
+  T old_val = get_rand<T>();
+  T new_val = get_rand<T>();
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running case #" << case_num << " on "
+            << dev.get_info<sycl::info::device::name>() << "\n";
+  auto ctx = q.get_context();
+
+  // workgroups
+  sycl::range<1> GlobalRange{Groups};
+  // threads in each group
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+  using aligned_allocator =
+      sycl::usm_allocator<T, sycl::usm::alloc::shared,
+                          Flags::template alignment<__ESIMD_DNS::__raw_t<T>>>;
+  aligned_allocator Allocator(q);
+
+  std::vector<T, aligned_allocator> out(Size, old_val, Allocator);
+
+  try {
+    buffer<T, 1> bufo(out.data(), out.size());
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acco = bufo.template get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            uint16_t globalID = ndi.get_global_id(0);
+            uint32_t elem_off = globalID * VL * VS;
+            uint32_t byte_off = elem_off * sizeof(T);
+
+            if constexpr (transpose) {
+              simd<T, VS> vals(new_val + elem_off, 1);
+              if constexpr (sizeof(T) < 8) {
+                lsc_block_store<T, VS, DS, L1H, L3H>(acco, byte_off, vals,
+                                                     Flags{});
+              } else {
+                lsc_block_store<T, VS, DS, L1H, L3H>(acco, byte_off, vals);
+              }
+            } else {
+              simd<uint32_t, VL> offset(byte_off, VS * sizeof(T));
+              simd_mask<VL> pred;
+              for (int i = 0; i < VL; i++)
+                pred.template select<1, 1>(i) = (pmask >> i) & 1;
+
+              T val = new_val + elem_off;
+              simd<T, VS * VL> vals;
+              for (int i = 0; i < VL; i++)
+                for (int j = 0; j < VS; j++)
+                  vals.template select<1, 1>(i + j * VL) = val++;
+
+              lsc_scatter<T, VS, DS, L1H, L3H, VL>(acco, offset, vals, pred);
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+
+  if constexpr (transpose) {
+    for (int i = 0; i < Size; i++) {
+      T expected_value = new_val + i;
+      Tuint e = sycl::bit_cast<Tuint>(expected_value);
+      Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+      if (out_val != e) {
+        passed = false;
+        std::cout << "out[" << i << "] = 0x" << std::hex << out_val
+                  << " vs etalon = 0x" << e << std::dec << std::endl;
+      }
+    }
+  } else {
+    for (int i = 0; i < Size; i++) {
+      T expected_value = new_val + i;
+      Tuint in_val = sycl::bit_cast<Tuint>(expected_value);
+      Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+      Tuint e =
+          (pmask >> ((i / VS) % VL)) & 1
+              ? (in_val & vmask) | (sycl::bit_cast<Tuint>(old_val) & ~vmask)
+              : sycl::bit_cast<Tuint>(old_val);
+      if (out_val != e) {
+        passed = false;
+        std::cout << "out[" << i << "] = 0x" << std::hex << out_val
+                  << " vs etalon = 0x" << e << std::dec << std::endl;
+      }
+    }
+  }
+
+  if (!passed)
+    std::cout << "Case #" << case_num << " FAILED" << std::endl;
+
+  return passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_block_load_prefetch.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_block_load_prefetch.hpp
new file mode 100644
index 0000000000000..bab1dc2991894
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_block_load_prefetch.hpp
@@ -0,0 +1,228 @@
+//==-- lsc_usm_block_load_prefetch.hpp - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "../../esimd_test_utils.hpp"
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <typename T, uint16_t N,
+          lsc_data_size DS = lsc_data_size::default_size,
+          cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none,
+          bool UsePrefetch = false, bool UseOldValuesOperand = true,
+          typename Flags = __ESIMD_NS::overaligned_tag<4>>
+bool test(queue Q, uint32_t Groups, uint32_t Threads) {
+  static_assert(DS != lsc_data_size::u8u32 && DS != lsc_data_size::u16u32,
+                "unsupported DS for lsc_block_load()");
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+
+  uint32_t Size = Groups * Threads * N;
+  using Tuint = sycl::_V1::ext::intel::esimd::detail::uint_type_t<sizeof(T)>;
+
+  std::cout << "Running case: T=" << esimd_test::type_name<T>() << ",N=" << N
+            << ",UsePrefetch=" << UsePrefetch
+            << ",UseOldValuesOperand=" << UseOldValuesOperand;
+
+  sycl::range<1> GlobalRange{Groups};
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  T *Out = sycl::aligned_alloc_shared<T>(
+      Flags::template alignment<__ESIMD_DNS::__raw_t<T>>, Size, Q);
+  T *In = sycl::aligned_alloc_shared<T>(
+      Flags::template alignment<__ESIMD_DNS::__raw_t<T>>, Size, Q);
+  for (int i = 0; i < Size; i++) {
+    In[i] = get_rand<T>();
+    Out[i] = 0;
+  }
+
+  try {
+    Q.parallel_for(Range, [=](sycl::nd_item<1> NDI) SYCL_ESIMD_KERNEL {
+       uint16_t GlobalID = NDI.get_global_id(0);
+       uint32_t ElemOffset = GlobalID * N;
+
+       simd<T, N> Vals;
+       if constexpr (UseOldValuesOperand) {
+         // TODO: these 2 lines work-around the problem with scalar conversions
+         // to bfloat16. It could be just: "simd<T, N> OldValues(ElemOffset,
+         // 1);"
+         simd<uint32_t, N> OldValuesInt(ElemOffset, 1);
+         simd<T, N> OldValues = OldValuesInt;
+
+         simd_mask<1> Mask = GlobalID % 1;
+         if constexpr (UsePrefetch) {
+           lsc_prefetch<T, N, DS, L1H, L3H>(In + ElemOffset);
+           if constexpr (sizeof(T) < 8) {
+             Vals = lsc_block_load<T, N, DS>(In + ElemOffset, Mask, OldValues,
+                                             Flags{});
+           } else {
+             Vals = lsc_block_load<T, N, DS>(In + ElemOffset, Mask, OldValues);
+           }
+         } else {
+           if constexpr (sizeof(T) < 8) {
+             Vals = lsc_block_load<T, N, DS, L1H, L3H>(In + ElemOffset, Mask,
+                                                       OldValues, Flags{});
+           } else {
+             Vals = lsc_block_load<T, N, DS, L1H, L3H>(In + ElemOffset, Mask,
+                                                       OldValues);
+           }
+         }
+       } else {
+         if constexpr (UsePrefetch) {
+           lsc_prefetch<T, N, DS, L1H, L3H>(In + ElemOffset);
+           if constexpr (sizeof(T) < 8) {
+             Vals = lsc_block_load<T, N, DS>(In + ElemOffset, Flags{});
+           } else {
+             Vals = lsc_block_load<T, N, DS>(In + ElemOffset);
+           }
+         } else {
+           if constexpr (sizeof(T) < 8) {
+             Vals =
+                 lsc_block_load<T, N, DS, L1H, L3H>(In + ElemOffset, Flags{});
+           } else {
+             Vals = lsc_block_load<T, N, DS, L1H, L3H>(In + ElemOffset);
+           }
+         }
+       }
+       if constexpr (sizeof(T) < 8) {
+         lsc_block_store(Out + ElemOffset, Vals, Flags{});
+       } else {
+         lsc_block_store(Out + ElemOffset, Vals);
+       }
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(Out, Q);
+    sycl::free(In, Q);
+    return false;
+  }
+
+  int NumErrors = 0;
+  for (int i = 0; i < Size && NumErrors < 32; i++) {
+    bool IsMaskSet = (i / N) % 1;
+    Tuint Expected = sycl::bit_cast<Tuint>(In[i]);
+    Tuint Computed = sycl::bit_cast<Tuint>(Out[i]);
+
+    if (!IsMaskSet) {
+      // Values loaded by lsc_block_load() are undefined - skip the check.
+      if (!UseOldValuesOperand)
+        continue;
+      Expected = sycl::bit_cast<Tuint>((T)i);
+    }
+
+    if (Computed != Expected) {
+      NumErrors++;
+      std::cout << "out[" << i << "] = 0x" << std::hex << Computed
+                << " vs etalon = 0x" << Expected << std::dec << std::endl;
+    }
+  }
+
+  std::cout << (NumErrors ? " FAILED" : " passed") << std::endl;
+  sycl::free(Out, Q);
+  sycl::free(In, Q);
+  return NumErrors == 0;
+}
+
+template <typename T> bool test_lsc_block_load() {
+  constexpr lsc_data_size DS = lsc_data_size::default_size;
+  constexpr cache_hint L1H = cache_hint::none;
+  constexpr cache_hint L3H = cache_hint::none;
+
+  constexpr bool NoPrefetch = false;
+  constexpr bool CheckMerge = true;
+  constexpr bool NoCheckMerge = false;
+
+  auto Q = queue{gpu_selector_v};
+  std::cout << "Running lsc_block_load() tests for T="
+            << esimd_test::type_name<T>() << " on "
+            << Q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  bool Passed = true;
+  Passed &= test<T, 64, DS, L1H, L3H, NoPrefetch, NoCheckMerge>(Q, 1, 4);
+  Passed &= test<T, 32, DS, L1H, L3H, NoPrefetch, NoCheckMerge>(Q, 1, 4);
+  Passed &= test<T, 16, DS, L1H, L3H, NoPrefetch, NoCheckMerge>(Q, 2, 2);
+  Passed &= test<T, 8, DS, L1H, L3H, NoPrefetch, NoCheckMerge>(Q, 2, 8);
+  Passed &= test<T, 4, DS, L1H, L3H, NoPrefetch, NoCheckMerge>(Q, 3, 3);
+  if constexpr (sizeof(T) * 2 >= sizeof(int))
+    Passed &= test<T, 2, DS, L1H, L3H, NoPrefetch, NoCheckMerge>(Q, 5, 5);
+  if constexpr (sizeof(T) >= sizeof(int))
+    Passed &= test<T, 1, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 3, 5);
+  if constexpr (sizeof(T) <= 4) {
+    Passed &= test<T, 128, DS, L1H, L3H, NoPrefetch, CheckMerge,
+                   __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+    Passed &= test<T, 128, DS, L1H, L3H, NoPrefetch, NoCheckMerge,
+                   __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+    if constexpr (sizeof(T) == 2) {
+      Passed &= test<T, 256, DS, L1H, L3H, NoPrefetch, CheckMerge,
+                     __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+      Passed &= test<T, 256, DS, L1H, L3H, NoPrefetch, NoCheckMerge,
+                     __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+    }
+    if constexpr (sizeof(T) == 1) {
+      Passed &= test<T, 512, DS, L1H, L3H, NoPrefetch, CheckMerge,
+                     __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+      Passed &= test<T, 512, DS, L1H, L3H, NoPrefetch, NoCheckMerge,
+                     __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+    }
+  }
+
+  Passed &= test<T, 64, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 1, 4);
+  Passed &= test<T, 32, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 2, 2);
+  Passed &= test<T, 16, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 4, 4);
+  Passed &= test<T, 8, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 2, 8);
+  Passed &= test<T, 4, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 3, 3);
+  if constexpr (sizeof(T) * 2 >= sizeof(int))
+    Passed &= test<T, 2, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 5, 5);
+  if constexpr (sizeof(T) >= sizeof(int))
+    Passed &= test<T, 1, DS, L1H, L3H, NoPrefetch, CheckMerge>(Q, 3, 5);
+  // Only 512-bits maximum can be loaded at once (i.e. 4*128 bytes).
+  if constexpr (sizeof(T) <= 4)
+    Passed &= test<T, 128, DS, L1H, L3H, NoPrefetch, CheckMerge,
+                   __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+  if constexpr (sizeof(T) <= 2)
+    Passed &= test<T, 256, DS, L1H, L3H, NoPrefetch, CheckMerge,
+                   __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+  if constexpr (sizeof(T) == 1)
+    Passed &= test<T, 512, DS, L1H, L3H, NoPrefetch, CheckMerge,
+                   __ESIMD_NS::overaligned_tag<8>>(Q, 1, 4);
+
+  return Passed;
+}
+
+template <typename T, lsc_data_size DS = lsc_data_size::default_size,
+          bool IsGatherLikePrefetch = false>
+std::enable_if_t<!IsGatherLikePrefetch, bool> test_lsc_prefetch() {
+  constexpr cache_hint L1H = cache_hint::cached;
+  constexpr cache_hint L3H = cache_hint::uncached;
+  constexpr bool DoPrefetch = true;
+
+  auto Q = queue{gpu_selector_v};
+  std::cout << "Running block-load-like lsc_prefetch() tests for T="
+            << esimd_test::type_name<T>() << " on "
+            << Q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  bool Passed = true;
+  Passed &= test<T, 64, DS, L1H, L3H, DoPrefetch>(Q, 1, 4);
+  Passed &= test<T, 32, DS, L1H, L3H, DoPrefetch>(Q, 1, 4);
+  Passed &= test<T, 16, DS, L1H, L3H, DoPrefetch>(Q, 2, 2);
+  Passed &= test<T, 8, DS, L1H, L3H, DoPrefetch>(Q, 2, 8);
+  Passed &= test<T, 4, DS, L1H, L3H, DoPrefetch>(Q, 3, 3);
+  if constexpr (sizeof(T) * 2 >= sizeof(int))
+    Passed &= test<T, 2, DS, L1H, L3H, DoPrefetch>(Q, 5, 5);
+  if constexpr (sizeof(T) >= sizeof(int))
+    Passed &= test<T, 1, DS, L1H, L3H, DoPrefetch>(Q, 3, 5);
+
+  return Passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_gather_prefetch.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_gather_prefetch.hpp
new file mode 100644
index 0000000000000..21c1991cc7267
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_gather_prefetch.hpp
@@ -0,0 +1,220 @@
+//==------- lsc_usm_gather_prefetch.hpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "../../esimd_test_utils.hpp"
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+template <typename T, uint16_t VL, uint16_t VS,
+          lsc_data_size DS = lsc_data_size::default_size,
+          cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none,
+          bool use_prefetch = false, bool use_old_values = false>
+bool test(queue q, uint32_t Groups, uint32_t Threads,
+          uint32_t pmask = 0xffffffff) {
+  if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32) {
+    static_assert(VS == 1, "Only D32 and D64 support vector load");
+  }
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+
+  if constexpr (VS > 1) {
+    static_assert(VL == 16 || VL == 32,
+                  "IGC prohibits execution size less than SIMD size when "
+                  "vector size is greater than 1");
+  }
+
+  std::cout << "Running case: T=" << esimd_test::type_name<T>()
+            << ", Groups=" << Groups << ", Threads=" << Threads << ", VL=" << VL
+            << ", VS=" << VS << ", DS=" << esimd_test::toString(DS)
+            << ", use_prefetch=" << use_prefetch
+            << ", use_old_values=" << use_old_values << std::endl;
+
+  uint16_t Size = Groups * Threads * VL * VS;
+  using Tuint = esimd_test::uint_type_t<sizeof(T)>;
+  Tuint vmask = (Tuint)-1;
+  if constexpr (DS == lsc_data_size::u8u32)
+    vmask = 0xff;
+  if constexpr (DS == lsc_data_size::u16u32)
+    vmask = 0xffff;
+  if constexpr (DS == lsc_data_size::u16u32h)
+    vmask = 0xffff0000;
+
+  T old_val = get_rand<T>();
+  T zero_val = (T)0;
+  T merge_value = old_val * 2;
+
+  sycl::range<1> GlobalRange{Groups};
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  T *out = static_cast<T *>(sycl::malloc_shared(Size * sizeof(T), q));
+  for (int i = 0; i < Size; i++)
+    out[i] = old_val;
+
+  T *in = static_cast<T *>(sycl::malloc_shared(Size * sizeof(T), q));
+  for (int i = 0; i < Size; i++)
+    in[i] = get_rand<T>();
+
+  try {
+    q.parallel_for(Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+       uint16_t globalID = ndi.get_global_id(0);
+       uint32_t elem_off = globalID * VL * VS;
+       uint32_t byte_off = elem_off * sizeof(T);
+
+#ifndef USE_SCALAR_OFFSET
+       simd<Toffset, VL> offset(byte_off, VS * sizeof(T));
+#else
+        Toffset offset = byte_off;
+#endif
+       simd_mask<VL> pred;
+       for (int i = 0; i < VL; i++)
+         pred.template select<1, 1>(i) = (pmask >> i) & 1;
+
+       simd<T, VS * VL> vals;
+       if constexpr (use_prefetch) {
+         lsc_prefetch<T, VS, DS, L1H, L3H, VL>(in, offset, pred);
+         vals = lsc_gather<T, VS, DS, cache_hint::none, cache_hint::none, VL>(
+             in, offset, pred);
+       } else if constexpr (!use_old_values) {
+         vals = lsc_gather<T, VS, DS, L1H, L3H, VL>(in, offset, pred);
+       } else { // use_old_values
+         simd<T, VS *VL> old_values = merge_value;
+         vals =
+             lsc_gather<T, VS, DS, L1H, L3H, VL>(in, offset, pred, old_values);
+       }
+
+       if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32)
+         vals &= vmask;
+
+       if constexpr (use_old_values) {
+         // Verifying usage of old_values operand in gather requires storing
+         // the whole loaded vector.
+         lsc_scatter<T, VS>(out, offset, vals);
+       } else {
+         lsc_scatter<T, VS>(out, offset, vals, pred);
+       }
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(out, q);
+    sycl::free(in, q);
+    return false;
+  }
+
+  int num_errors = 0;
+
+  if constexpr (use_old_values)
+    old_val = merge_value;
+  for (int i = 0; i < Size; i++) {
+    Tuint in_val = sycl::bit_cast<Tuint>(in[i]);
+    Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+#ifndef USE_SCALAR_OFFSET
+    Tuint e = (pmask >> ((i / VS) % VL)) & 1 ? in_val
+                                             : sycl::bit_cast<Tuint>(old_val);
+#else
+    // Calculate the mask to identify the areas that were actually updated
+    constexpr uint16_t mask =
+        1U << ((sycl::bit_cast<uint32_t>((float)VL) >> 23) - 126);
+    Tuint e = ((i / VS) % VL == 0) && (pmask >> ((i / VS) % VL)) & (mask - 1)
+                  ? in_val
+                  : sycl::bit_cast<Tuint>(old_val);
+#endif
+    e &= vmask;
+    out_val &= vmask;
+    if (out_val != e && num_errors++ < 32) {
+      std::cout << "Error: out[" << i << "] = 0x" << std::hex << out_val
+                << " vs etalon = 0x" << e << std::dec << std::endl;
+    }
+  }
+
+  if (num_errors)
+    std::cout << "Case FAILED" << std::endl;
+
+  sycl::free(out, q);
+  sycl::free(in, q);
+
+  return num_errors == 0;
+}
+
+template <typename T, lsc_data_size DS = lsc_data_size::default_size,
+          bool DoPrefetch>
+bool test_lsc_gather_prefetch(queue q) {
+  constexpr cache_hint L1H = cache_hint::cached;
+  constexpr cache_hint L3H = cache_hint::uncached;
+  constexpr bool DoMerging = true;
+
+  bool Passed = true;
+  Passed &=
+      test<T, 1, 1, DS, L1H, L3H, DoPrefetch, !DoMerging>(q, 4, 4, rand());
+  if constexpr (!DoPrefetch)
+    Passed &=
+        test<T, 1, 1, DS, L1H, L3H, DoPrefetch, DoMerging>(q, 4, 4, rand());
+
+#ifndef USE_SCALAR_OFFSET
+  // These tests use lsc_scatter with scalar offset when USE_SCALAR_OFFSET macro
+  // is set, which is UB and thus guarded by the macro here.
+  Passed &= test<T, 32, 1, DS, L1H, L3H, DoPrefetch>(q, 1, 4, rand());
+  Passed &= test<T, 16, 1, DS, L1H, L3H, DoPrefetch>(q, 2, 4, rand());
+  Passed &= test<T, 8, 1, DS, L1H, L3H, DoPrefetch>(q, 2, 2, rand());
+  Passed &= test<T, 4, 1, DS, L1H, L3H, DoPrefetch>(q, 4, 2, rand());
+  Passed &= test<T, 2, 1, DS, L1H, L3H, DoPrefetch>(q, 4, 16, rand());
+
+  // The next block of tests is only for gather with merging semantics,
+  // not for prefetch tests.
+  if constexpr (!DoPrefetch) {
+    Passed &=
+        test<T, 32, 1, DS, L1H, L3H, DoPrefetch, DoMerging>(q, 1, 4, rand());
+    Passed &=
+        test<T, 2, 1, DS, L1H, L3H, DoPrefetch, DoMerging>(q, 4, 16, rand());
+  }
+
+  if constexpr (((DS == lsc_data_size::default_size && sizeof(T) >= 4) ||
+                 DS == lsc_data_size::u32 || DS == lsc_data_size::u32) &&
+                !DoPrefetch) {
+    Passed &= test<T, 32, 2, DS, L1H, L3H, DoPrefetch>(q, 2, 4, rand());
+  }
+#endif // !USE_SCALAR_OFFSET
+
+  return Passed;
+}
+
+template <typename T, lsc_data_size DS = lsc_data_size::default_size>
+bool test_lsc_gather() {
+  auto q = queue{gpu_selector_v};
+  std::cout << "Running lsc_gather() tests for T=" << esimd_test::type_name<T>()
+            << " on " << q.get_device().get_info<sycl::info::device::name>()
+            << std::endl;
+
+  constexpr bool NoPrefetch = false;
+  return test_lsc_gather_prefetch<T, DS, NoPrefetch>(q);
+}
+
+template <typename T, lsc_data_size DS = lsc_data_size::default_size,
+          bool IsGatherLikePrefetch = true>
+std::enable_if_t<IsGatherLikePrefetch, bool> test_lsc_prefetch() {
+  auto q = queue{gpu_selector_v};
+  std::cout << "Running gather-like lsc_prefetch() tests for T="
+            << esimd_test::type_name<T>() << " on "
+            << q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  constexpr bool DoPrefetch = true;
+  return test_lsc_gather_prefetch<T, DS, DoPrefetch>(q);
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_store.hpp b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_store.hpp
new file mode 100644
index 0000000000000..4765152b644c8
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/Inputs/lsc_usm_store.hpp
@@ -0,0 +1,154 @@
+//==------- lsc_flat_store.hpp - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#include "common.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+template <int case_num, typename T, uint32_t Groups, uint32_t Threads,
+          uint16_t VL, uint16_t VS, bool transpose,
+          lsc_data_size DS = lsc_data_size::default_size,
+          cache_hint L1H = cache_hint::none, cache_hint L3H = cache_hint::none,
+          typename Flags = __ESIMD_NS::overaligned_tag<4>>
+bool test(uint32_t pmask = 0xffffffff) {
+  static_assert((VL == 1) || !transpose, "Transpose must have exec size 1");
+  if constexpr (DS == lsc_data_size::u8u32 || DS == lsc_data_size::u16u32) {
+    static_assert(!transpose, "Conversion types may not use vector");
+    static_assert(VS == 1, "Only D32 and D64 support vector load");
+  }
+
+  static_assert(DS != lsc_data_size::u16u32h, "D16U32h not supported in HW");
+
+  if constexpr (!transpose && VS > 1) {
+    static_assert(VL == 16 || VL == 32,
+                  "IGC prohibits execution size less than SIMD size when "
+                  "vector size is greater than 1");
+  }
+
+  uint16_t Size = Groups * Threads * VL * VS;
+  using Tuint = sycl::_V1::ext::intel::esimd::detail::uint_type_t<sizeof(T)>;
+
+  Tuint vmask = (Tuint)-1;
+  if constexpr (DS == lsc_data_size::u8u32)
+    vmask = (T)0xff;
+  if constexpr (DS == lsc_data_size::u16u32)
+    vmask = (T)0xffff;
+  if constexpr (DS == lsc_data_size::u16u32h)
+    vmask = (T)0xffff0000;
+
+  T old_val = get_rand<T>();
+  T new_val = get_rand<T>();
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running case #" << case_num << " on "
+            << dev.get_info<sycl::info::device::name>() << "\n";
+  auto ctx = q.get_context();
+
+  // workgroups
+  sycl::range<1> GlobalRange{Groups};
+  // threads in each group
+  sycl::range<1> LocalRange{Threads};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  T *out = sycl::aligned_alloc_shared<T>(
+      Flags::template alignment<__ESIMD_DNS::__raw_t<T>>, Size * sizeof(T), dev,
+      ctx);
+  for (int i = 0; i < Size; i++)
+    out[i] = old_val;
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            uint16_t globalID = ndi.get_global_id(0);
+            uint32_t elem_off = globalID * VL * VS;
+            uint32_t byte_off = elem_off * sizeof(T);
+
+            if constexpr (transpose) {
+              simd<T, VS> vals(new_val + elem_off, 1);
+              if constexpr (sizeof(T) < 8) {
+                lsc_block_store<T, VS, DS, L1H, L3H>(out + elem_off, vals,
+                                                     Flags{});
+              } else {
+                lsc_block_store<T, VS, DS, L1H, L3H>(out + elem_off, vals);
+              }
+            } else {
+              simd<Toffset, VL> offset(byte_off, VS * sizeof(T));
+              simd_mask<VL> pred;
+              for (int i = 0; i < VL; i++)
+                pred.template select<1, 1>(i) = (pmask >> i) & 1;
+
+              T val = new_val + elem_off;
+              simd<T, VS * VL> vals;
+              for (int i = 0; i < VL; i++)
+                for (int j = 0; j < VS; j++)
+                  vals.template select<1, 1>(i + j * VL) = val++;
+
+              lsc_scatter<T, VS, DS, L1H, L3H, VL>(out, offset, vals, pred);
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(out, ctx);
+    return false;
+  }
+
+  bool passed = true;
+
+  if constexpr (transpose) {
+    for (int i = 0; i < Size; i++) {
+      T expected_value = new_val + i;
+      Tuint e = sycl::bit_cast<Tuint>(expected_value);
+      Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+      if (out_val != e) {
+        passed = false;
+        std::cout << "out[" << i << "] = 0x" << std::hex << out_val
+                  << " vs etalon = 0x" << e << std::dec << std::endl;
+      }
+    }
+  } else {
+    for (int i = 0; i < Size; i++) {
+      T expected_value = new_val + i;
+      Tuint in_val = sycl::bit_cast<Tuint>(expected_value);
+      Tuint out_val = sycl::bit_cast<Tuint>(out[i]);
+
+      Tuint e =
+          (pmask >> ((i / VS) % VL)) & 1
+              ? (in_val & vmask) | (sycl::bit_cast<Tuint>(old_val) & ~vmask)
+              : sycl::bit_cast<Tuint>(old_val);
+      if (out_val != e) {
+        passed = false;
+        std::cout << "out[" << i << "] = 0x" << std::hex << out_val
+                  << " vs etalon = 0x" << e << std::dec << std::endl;
+      }
+    }
+  }
+
+  if (!passed)
+    std::cout << "Case #" << case_num << " FAILED" << std::endl;
+
+  sycl::free(out, ctx);
+
+  return passed;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/atomic_cmpxchg.cpp b/sycl/test-e2e/ESIMD/lsc/atomic_cmpxchg.cpp
new file mode 100644
index 0000000000000..501ba8e9b01c0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/atomic_cmpxchg.cpp
@@ -0,0 +1,21 @@
+//==---------------- atomic_cmpxchg.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC compare-and-exchange atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This macro enables only cmpxch tests. They may require more time to execute,
+// and have higher probablity to hit kernel execution time limit, so they are
+// separated.
+#define CMPXCHG_TEST
+
+#include "atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/atomic_cmpxchg_scalar_off.cpp b/sycl/test-e2e/ESIMD/lsc/atomic_cmpxchg_scalar_off.cpp
new file mode 100644
index 0000000000000..5a18a8d91d418
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/atomic_cmpxchg_scalar_off.cpp
@@ -0,0 +1,23 @@
+//==---- atomic_cmpxchg_scalar_off.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC compare-and-exchange atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This macro enables only cmpxch tests. They may require more time to execute,
+// and have higher probablity to hit kernel execution time limit, so they are
+// separated.
+#define CMPXCHG_TEST
+// This macro enforces scalar offset variant of the test - uses scalar offsets.
+#define USE_SCALAR_OFFSET
+
+#include "atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/atomic_smoke.cpp b/sycl/test-e2e/ESIMD/lsc/atomic_smoke.cpp
new file mode 100644
index 0000000000000..ff0e50a939f41
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/atomic_smoke.cpp
@@ -0,0 +1,672 @@
+//==---------------- atomic_smoke.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// TODO: esimd_emulator doesn't support xchg operation
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../esimd_test_utils.hpp"
+
+#include <CL/sycl.hpp>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+struct Config {
+  int threads_per_group;
+  int n_groups;
+  int start_ind;
+  int masked_lane;
+  int repeat;
+  int stride;
+};
+
+#ifndef PREFER_FULL_BARRIER
+#define PREFER_FULL_BARRIER 0
+#endif // PREFER_FULL_BARRIER
+
+#if PREFER_FULL_BARRIER && !defined(USE_DWORD_ATOMICS)
+#define USE_FULL_BARRIER 1
+#else
+#define USE_FULL_BARRIER 0
+#endif
+
+// ----------------- Helper functions
+
+std::ostream &operator<<(std::ostream &out, const Config &cfg) {
+  out << "{ thr_per_group=" << cfg.threads_per_group
+      << " n_groups=" << cfg.n_groups << " start_ind=" << cfg.start_ind
+      << " masked_lane=" << cfg.masked_lane << " repeat=" << cfg.repeat
+      << " stride=" << cfg.stride << " }";
+  return out;
+}
+
+using LSCAtomicOp = sycl::ext::intel::esimd::native::lsc::atomic_op;
+using DWORDAtomicOp = sycl::ext::intel::esimd::atomic_op;
+
+// This macro selects between DWORD ("legacy") and LSC-based atomics.
+#ifdef USE_DWORD_ATOMICS
+using AtomicOp = DWORDAtomicOp;
+constexpr char MODE[] = "DWORD";
+#else
+using AtomicOp = LSCAtomicOp;
+constexpr char MODE[] = "LSC";
+#endif // USE_DWORD_ATOMICS
+
+#ifndef USE_DWORD_ATOMICS
+#if USE_FULL_BARRIER
+uint32_t atomic_load(uint32_t *addr) {
+  auto v = atomic_update<LSCAtomicOp::load, uint32_t, 1>(addr, 0, 1);
+  return v[0];
+}
+#endif // USE_FULL_BARRIER
+#endif // USE_DWORD_ATOMICS
+
+template <class, int, template <class, int> class> class TestID;
+
+const char *to_string(DWORDAtomicOp op) {
+  switch (op) {
+  case DWORDAtomicOp::add:
+    return "add";
+  case DWORDAtomicOp::sub:
+    return "sub";
+  case DWORDAtomicOp::inc:
+    return "inc";
+  case DWORDAtomicOp::dec:
+    return "dec";
+  case DWORDAtomicOp::umin:
+    return "umin";
+  case DWORDAtomicOp::umax:
+    return "umax";
+  case DWORDAtomicOp::xchg:
+    return "xchg";
+  case DWORDAtomicOp::cmpxchg:
+    return "cmpxchg";
+  case DWORDAtomicOp::bit_and:
+    return "bit_and";
+  case DWORDAtomicOp::bit_or:
+    return "bit_or";
+  case DWORDAtomicOp::bit_xor:
+    return "bit_xor";
+  case DWORDAtomicOp::smin:
+    return "smin";
+  case DWORDAtomicOp::smax:
+    return "smax";
+  case DWORDAtomicOp::fmax:
+    return "fmax";
+  case DWORDAtomicOp::fmin:
+    return "fmin";
+  case DWORDAtomicOp::fcmpxchg:
+    return "fcmpxchg";
+  case DWORDAtomicOp::fadd:
+    return "fadd";
+  case DWORDAtomicOp::fsub:
+    return "fsub";
+  case DWORDAtomicOp::load:
+    return "load";
+  case DWORDAtomicOp::store:
+    return "store";
+  case DWORDAtomicOp::predec:
+    return "predec";
+  }
+  return "<unknown>";
+}
+
+const char *to_string(LSCAtomicOp op) {
+  switch (op) {
+  case LSCAtomicOp::add:
+    return "lsc::add";
+  case LSCAtomicOp::sub:
+    return "lsc::sub";
+  case LSCAtomicOp::inc:
+    return "lsc::inc";
+  case LSCAtomicOp::dec:
+    return "lsc::dec";
+  case LSCAtomicOp::umin:
+    return "lsc::umin";
+  case LSCAtomicOp::umax:
+    return "lsc::umax";
+  case LSCAtomicOp::cmpxchg:
+    return "lsc::cmpxchg";
+  case LSCAtomicOp::bit_and:
+    return "lsc::bit_and";
+  case LSCAtomicOp::bit_or:
+    return "lsc::bit_or";
+  case LSCAtomicOp::bit_xor:
+    return "lsc::bit_xor";
+  case LSCAtomicOp::smin:
+    return "lsc::smin";
+  case LSCAtomicOp::smax:
+    return "lsc::smax";
+  case LSCAtomicOp::fmax:
+    return "lsc::fmax";
+  case LSCAtomicOp::fmin:
+    return "lsc::fmin";
+  case LSCAtomicOp::fcmpxchg:
+    return "lsc::fcmpxchg";
+  case LSCAtomicOp::fadd:
+    return "lsc::fadd";
+  case LSCAtomicOp::fsub:
+    return "lsc::fsub";
+  case LSCAtomicOp::load:
+    return "lsc::load";
+  case LSCAtomicOp::store:
+    return "lsc::store";
+  }
+  return "lsc::<unknown>";
+}
+
+template <int N> inline bool any(simd_mask<N> m, simd_mask<N> ignore_mask) {
+  simd_mask<N> m1 = 0;
+  m.merge(m1, ignore_mask);
+  return m.any();
+}
+
+// ----------------- The main test function
+
+template <class T, int N, template <class, int> class ImplF>
+bool test(queue q, const Config &cfg) {
+  constexpr auto op = ImplF<T, N>::atomic_op;
+  using CurAtomicOpT = decltype(op);
+  constexpr int n_args = ImplF<T, N>::n_args;
+
+  std::cout << "Testing "
+            << "mode=" << MODE << " op=" << to_string(op)
+            << " full barrier=" << (USE_FULL_BARRIER ? "yes" : "no")
+            << " T=" << typeid(T).name() << " N=" << N
+            << "\n"
+               "    "
+            << cfg << "...";
+
+  size_t size = cfg.start_ind + (N - 1) * cfg.stride + 1;
+  T *arr = malloc_shared<T>(size, q);
+#if USE_FULL_BARRIER
+  uint32_t *flag_ptr = malloc_shared<uint32_t>(1, q);
+  *flag_ptr = 0;
+#endif // USE_FULL_BARRIER
+  int n_threads = cfg.threads_per_group * cfg.n_groups;
+
+  for (int i = 0; i < size; ++i) {
+    arr[i] = ImplF<T, N>::init(i, cfg);
+  }
+
+  range<1> glob_rng(n_threads);
+  range<1> loc_rng(cfg.threads_per_group);
+  nd_range<1> rng(glob_rng, loc_rng);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<TestID<T, N, ImplF>>(
+          rng, [=](id<1> ii) SYCL_ESIMD_KERNEL {
+            int i = ii;
+#ifndef USE_SCALAR_OFFSET
+            simd<Toffset, N> offsets(cfg.start_ind * sizeof(T),
+                                     cfg.stride * sizeof(T));
+#else
+            Toffset offsets = 0;
+#endif
+            simd_mask<N> m = 1;
+            m[cfg.masked_lane] = 0;
+        // barrier to achieve better contention:
+#if USE_FULL_BARRIER
+            // Full global barrier, works only with LSC atomics
+            // (+ ND range should fit into the available h/w threads).
+            atomic_update<LSCAtomicOp::inc, uint32_t, 1>(flag_ptr, 0, 1);
+            for (uint32_t x = atomic_load(flag_ptr); x < n_threads;
+                 x = atomic_load(flag_ptr))
+              ;
+#else
+        // Intra-work group barrier.
+        barrier();
+#endif // USE_FULL_BARRIER
+
+            // the atomic operation itself applied in a loop:
+            for (int cnt = 0; cnt < cfg.repeat; ++cnt) {
+              if constexpr (n_args == 0) {
+                atomic_update<op>(arr, offsets, m);
+              } else if constexpr (n_args == 1) {
+                simd<T, N> v0 = ImplF<T, N>::arg0(i);
+                atomic_update<op>(arr, offsets, v0, m);
+              } else if constexpr (n_args == 2) {
+                simd<T, N> new_val = ImplF<T, N>::arg0(i); // new value
+                simd<T, N> exp_val = ImplF<T, N>::arg1(i); // expected value
+                // do compare-and-swap in a loop until we get expected value;
+                // arg0 and arg1 must provide values which guarantee the loop
+                // is not endless:
+                for (auto old_val =
+                         atomic_update<op>(arr, offsets, new_val, exp_val, m);
+                     any(old_val < exp_val, !m);
+                     old_val =
+                         atomic_update<op>(arr, offsets, new_val, exp_val, m))
+                  ;
+              }
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(arr, q);
+#if USE_FULL_BARRIER
+    free(flag_ptr, q);
+#endif // USE_FULL_BARRIER
+    return false;
+  }
+  int err_cnt = 0;
+
+  for (int i = 0; i < size; ++i) {
+    T gold = ImplF<T, N>::gold(i, cfg);
+    T test = arr[i];
+
+    if ((gold != test) && (++err_cnt < 10)) {
+      if (err_cnt == 1) {
+        std::cout << "\n";
+      }
+      std::cout << "  failed at index " << i << ": " << test << " != " << gold
+                << "(gold)\n";
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  FAILED\n  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  } else {
+    std::cout << " passed\n";
+  }
+  free(arr, q);
+#if USE_FULL_BARRIER
+  free(flag_ptr, q);
+#endif // USE_FULL_BARRIER
+  return err_cnt == 0;
+}
+
+// ----------------- Functions providing input and golden values for atomic
+// ----------------- operations.
+
+static int dense_ind(int ind, int VL, const Config &cfg) {
+  return (ind - cfg.start_ind) / cfg.stride;
+}
+
+static bool is_updated(int ind, int VL, const Config &cfg) {
+  if ((ind < cfg.start_ind) || (((ind - cfg.start_ind) % cfg.stride) != 0)) {
+    return false;
+  }
+  int ii = dense_ind(ind, VL, cfg);
+  bool res = (ii % VL) != cfg.masked_lane;
+  return res;
+}
+
+// ----------------- Actual "traits" for each operation.
+
+template <class T, int N> struct ImplInc {
+  static constexpr AtomicOp atomic_op = AtomicOp::inc;
+  static constexpr int n_args = 0;
+
+  static T init(int i, const Config &cfg) { return (T)0; }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg)
+                 ? (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups)
+#else
+    T gold =
+        i == 0
+            ? (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups * (N - 1))
+#endif
+                 : init(i, cfg);
+    return gold;
+  }
+};
+
+template <class T, int N> struct ImplDec {
+  static constexpr AtomicOp atomic_op = AtomicOp::dec;
+  static constexpr int n_args = 0;
+  static constexpr int base = 5;
+
+  static T init(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    return (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups + base);
+#else
+    return (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups * (N - 1) +
+               base);
+#endif
+  }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg) ? (T)base : init(i, cfg);
+#else
+    T gold = i == 0 ? (T)base : init(i, cfg);
+#endif
+    return gold;
+  }
+};
+
+// The purpose of this is validate that floating point data is correctly
+// processed.
+constexpr float FPDELTA = 0.5f;
+
+template <class T, int N> struct ImplLoad {
+  static constexpr AtomicOp atomic_op = AtomicOp::load;
+  static constexpr int n_args = 0;
+
+  static T init(int i, const Config &cfg) { return (T)(i + FPDELTA); }
+
+  static T gold(int i, const Config &cfg) {
+    T gold = init(i, cfg);
+    return gold;
+  }
+};
+
+template <class T, int N> struct ImplStore {
+  static constexpr AtomicOp atomic_op = AtomicOp::store;
+  static constexpr int n_args = 1;
+  static constexpr T base = (T)(2 + FPDELTA);
+
+  static T init(int i, const Config &cfg) { return 0; }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg) ? base : init(i, cfg);
+#else
+    T gold = i == 0 ? base : init(i, cfg);
+#endif
+    return gold;
+  }
+
+  static T arg0(int i) { return base; }
+};
+
+template <class T, int N, class C, C Op> struct ImplAdd {
+  static constexpr C atomic_op = Op;
+  static constexpr int n_args = 1;
+
+  static T init(int i, const Config &cfg) { return 0; }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg) ? (T)(cfg.repeat * cfg.threads_per_group *
+                                         cfg.n_groups * (T)(1 + FPDELTA))
+                                   : init(i, cfg);
+#else
+    T gold = i == 0 ? (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups *
+                          (N - 1) * (T)(1 + FPDELTA))
+                    : init(i, cfg);
+#endif
+    return gold;
+  }
+
+  static T arg0(int i) { return (T)(1 + FPDELTA); }
+};
+
+template <class T, int N, class C, C Op> struct ImplSub {
+  static constexpr C atomic_op = Op;
+  static constexpr int n_args = 1;
+  static constexpr T base = (T)(5 + FPDELTA);
+
+  static T init(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    return (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups *
+                   (T)(1 + FPDELTA) +
+               base);
+#else
+    return (T)(cfg.repeat * cfg.threads_per_group * cfg.n_groups * (N - 1) *
+                   (T)(1 + FPDELTA) +
+               base);
+#endif
+  }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg) ? base : init(i, cfg);
+#else
+    T gold = i == 0 ? base : init(i, cfg);
+#endif
+    return gold;
+  }
+
+  static T arg0(int i) { return (T)(1 + FPDELTA); }
+};
+
+template <class T, int N, class C, C Op> struct ImplMin {
+  static constexpr C atomic_op = Op;
+  static constexpr int n_args = 1;
+  static constexpr T MIN = (T)(1 + FPDELTA);
+
+  static T init(int i, const Config &cfg) {
+    return (T)(cfg.threads_per_group * cfg.n_groups + MIN + 1);
+  }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg) ? (T)MIN : init(i, cfg);
+#else
+    T gold = i == 0 ? (T)MIN : init(i, cfg);
+#endif
+    return gold;
+  }
+
+  static T arg0(int i) { return i + MIN; }
+};
+
+template <class T, int N, class C, C Op> struct ImplMax {
+  static constexpr C atomic_op = Op;
+  static constexpr int n_args = 1;
+  static constexpr T base = (T)(5 + FPDELTA);
+
+  static T init(int i, const Config &cfg) { return (T)FPDELTA; }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg)
+#else
+    T gold = i == 0
+#endif
+                 ? (T)(cfg.threads_per_group * cfg.n_groups - 1 + FPDELTA)
+                 : init(i, cfg);
+    return gold;
+  }
+
+  static T arg0(int i) { return (T)(i + FPDELTA); }
+};
+
+template <class T, int N>
+struct ImplIntAdd : ImplAdd<T, N, DWORDAtomicOp, DWORDAtomicOp::add> {};
+template <class T, int N>
+struct ImplIntSub : ImplSub<T, N, DWORDAtomicOp, DWORDAtomicOp::sub> {};
+template <class T, int N>
+struct ImplSMin : ImplMin<T, N, DWORDAtomicOp, DWORDAtomicOp::smin> {};
+template <class T, int N>
+struct ImplUMin : ImplMin<T, N, DWORDAtomicOp, DWORDAtomicOp::umin> {};
+template <class T, int N>
+struct ImplSMax : ImplMax<T, N, DWORDAtomicOp, DWORDAtomicOp::smax> {};
+template <class T, int N>
+struct ImplUMax : ImplMax<T, N, DWORDAtomicOp, DWORDAtomicOp::umax> {};
+
+#ifndef USE_DWORD_ATOMICS
+// These will be redirected by API implementation to LSC ones:
+template <class T, int N>
+struct ImplFadd : ImplAdd<T, N, DWORDAtomicOp, DWORDAtomicOp::fadd> {};
+template <class T, int N>
+struct ImplFsub : ImplSub<T, N, DWORDAtomicOp, DWORDAtomicOp::fsub> {};
+template <class T, int N>
+struct ImplFmin : ImplMin<T, N, DWORDAtomicOp, DWORDAtomicOp::fmin> {};
+template <class T, int N>
+struct ImplFmax : ImplMax<T, N, DWORDAtomicOp, DWORDAtomicOp::fmax> {};
+// LCS versions:
+template <class T, int N>
+struct ImplLSCFadd : ImplAdd<T, N, LSCAtomicOp, LSCAtomicOp::fadd> {};
+template <class T, int N>
+struct ImplLSCFsub : ImplSub<T, N, LSCAtomicOp, LSCAtomicOp::fsub> {};
+template <class T, int N>
+struct ImplLSCFmin : ImplMin<T, N, LSCAtomicOp, LSCAtomicOp::fmin> {};
+template <class T, int N>
+struct ImplLSCFmax : ImplMax<T, N, LSCAtomicOp, LSCAtomicOp::fmax> {};
+#endif // USE_DWORD_ATOMICS
+
+template <class T, int N, class C, C Op> struct ImplCmpxchgBase {
+  static constexpr C atomic_op = Op;
+  static constexpr int n_args = 2;
+  static constexpr T base = (T)(2 + FPDELTA);
+
+  static T init(int i, const Config &cfg) { return base - 1; }
+
+  static T gold(int i, const Config &cfg) {
+#ifndef USE_SCALAR_OFFSET
+    T gold = is_updated(i, N, cfg)
+#else
+    T gold = i == 0
+#endif
+                 ? (T)(cfg.threads_per_group * cfg.n_groups - 1 + base)
+                 : init(i, cfg);
+    return gold;
+  }
+
+  // "Replacement value" argument in CAS
+  static inline T arg0(int i) { return i + base; }
+
+  // "Expected value" argument in CAS
+  static inline T arg1(int i) { return i + base - 1; }
+};
+
+template <class T, int N>
+struct ImplCmpxchg
+    : ImplCmpxchgBase<T, N, DWORDAtomicOp, DWORDAtomicOp::cmpxchg> {};
+
+#ifndef USE_DWORD_ATOMICS
+// This will be redirected by API implementation to LSC one:
+template <class T, int N>
+struct ImplFcmpwr
+    : ImplCmpxchgBase<T, N, DWORDAtomicOp, DWORDAtomicOp::fcmpxchg> {};
+// LCS versions:
+template <class T, int N>
+struct ImplLSCFcmpwr
+    : ImplCmpxchgBase<T, N, LSCAtomicOp, LSCAtomicOp::fcmpxchg> {};
+#endif // USE_DWORD_ATOMICS
+
+// ----------------- Main function and test combinations.
+
+template <int N, template <class, int> class Op>
+bool test_int_types(queue q, const Config &cfg) {
+  bool passed = true;
+  passed &= test<int32_t, N, Op>(q, cfg);
+  passed &= test<uint32_t, N, Op>(q, cfg);
+  passed &= test<int64_t, N, Op>(q, cfg);
+  passed &= test<uint64_t, N, Op>(q, cfg);
+  if constexpr (!std::is_same_v<unsigned long, uint64_t> &&
+                !std::is_same_v<unsigned long, uint32_t>) {
+    // Test 'long' types if they are not aliased with int types tested above.
+    passed &= test<unsigned long, N, Op>(q, cfg);
+    passed &= test<signed long, N, Op>(q, cfg);
+  }
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  Config cfg{
+      11,  // int threads_per_group;
+      11,  // int n_groups;
+      5,   // int start_ind;
+      5,   // int masked_lane;
+      100, // int repeat;
+      111  // int stride;
+  };
+
+  bool passed = true;
+#ifndef CMPXCHG_TEST
+  // Template params:
+  // - element type, simd size, threads per group, num groups, atomic op,
+  //   verification function, argument generation functions...
+  // Actual params:
+  // - queue, start index in data, masked lane, repeat count
+  passed &= test_int_types<8, ImplInc>(q, cfg);
+  passed &= test_int_types<8, ImplDec>(q, cfg);
+
+  // TODO: support sizes other than 8 when compiler is fixed
+  // passed &= test<uint32_t, 16, ImplDec>(q, cfg);
+  // TODO: support 16-bit types when compiler is fixed
+  // passed &= test<uint16_t, 8, ImplDec>(q, cfg);
+
+  passed &= test_int_types<8, ImplIntAdd>(q, cfg);
+  passed &= test_int_types<8, ImplIntSub>(q, cfg);
+
+  passed &= test<int, 8, ImplSMax>(q, cfg);
+  passed &= test<int, 8, ImplSMin>(q, cfg);
+
+  passed &= test<uint32_t, 8, ImplUMax>(q, cfg);
+  passed &= test<uint32_t, 8, ImplUMin>(q, cfg);
+
+  // TODO: add other operations
+
+#ifndef USE_DWORD_ATOMICS
+  passed &= test<float, 8, ImplFadd>(q, cfg);
+  passed &= test<float, 8, ImplFsub>(q, cfg);
+  passed &= test<float, 16, ImplFadd>(q, cfg);
+  passed &= test<float, 16, ImplFsub>(q, cfg);
+  passed &= test<float, 32, ImplFadd>(q, cfg);
+  passed &= test<float, 32, ImplFsub>(q, cfg);
+
+  // TODO: support sycl::half when compiler is fixed
+  // passed &= test<sycl::half, 8, ImplFmin>(q, cfg);
+  passed &= test<float, 8, ImplFmax>(q, cfg);
+  passed &= test<float, 16, ImplFmin>(q, cfg);
+  passed &= test<float, 16, ImplFmax>(q, cfg);
+  passed &= test<float, 32, ImplFmin>(q, cfg);
+  // passed &= test<sycl::half, 32, ImplFmax>(q, cfg);
+
+  passed &= test<float, 8, ImplLSCFmax>(q, cfg);
+  passed &= test<float, 16, ImplLSCFmin>(q, cfg);
+  passed &= test<float, 16, ImplLSCFmax>(q, cfg);
+  passed &= test<float, 32, ImplLSCFmin>(q, cfg);
+#endif // USE_DWORD_ATOMICS
+#else  // CMPXCHG_TEST
+  // Can't easily reset input to initial state, so just 1 iteration for CAS.
+  cfg.repeat = 1;
+  // Decrease number of threads to reduce risk of halting kernel by the driver.
+  cfg.n_groups = 7;
+  cfg.threads_per_group = 3;
+  passed &= test_int_types<8, ImplCmpxchg>(q, cfg);
+#ifndef USE_DWORD_ATOMICS
+  passed &= test<float, 8, ImplFcmpwr>(q, cfg);
+  passed &= test<float, 8, ImplLSCFcmpwr>(q, cfg);
+#endif // USE_DWORD_ATOMICS
+#endif // CMPXCHG_TEST
+
+  // Check load/store operations
+  passed &= test_int_types<8, ImplLoad>(q, cfg);
+#ifndef USE_SCALAR_OFFSET
+  if (q.get_backend() != sycl::backend::ext_intel_esimd_emulator)
+    passed &= test_int_types<8, ImplStore>(q, cfg);
+#ifndef USE_DWORD_ATOMICS
+  if (q.get_backend() != sycl::backend::ext_intel_esimd_emulator)
+    passed &= test<float, 8, ImplStore>(q, cfg);
+#endif // USE_DWORD_ATOMICS
+#endif
+  // TODO: check double other vector lengths in LSC mode.
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/atomic_smoke_64.cpp b/sycl/test-e2e/ESIMD/lsc/atomic_smoke_64.cpp
new file mode 100644
index 0000000000000..98f39693f2ed4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/atomic_smoke_64.cpp
@@ -0,0 +1,20 @@
+//==---------------- atomic_smoke_64.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/atomic_smoke_scalar_off.cpp b/sycl/test-e2e/ESIMD/lsc/atomic_smoke_scalar_off.cpp
new file mode 100644
index 0000000000000..29751ace70583
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/atomic_smoke_scalar_off.cpp
@@ -0,0 +1,21 @@
+//==---------------- atomic_smoke_scalar_off.cpp  - DPC++ ESIMD on-device test
+//-----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks LSC atomic operations.
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// TODO: esimd_emulator fails due to random timeouts (_XFAIL_: esimd_emulator)
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// scalar offset variant of the test - uses scalar offsets.
+
+#define USE_SCALAR_OFFSET
+
+#include "atomic_smoke.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_argument_type_deduction.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_argument_type_deduction.cpp
new file mode 100644
index 0000000000000..bef338bdd1604
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_argument_type_deduction.cpp
@@ -0,0 +1,119 @@
+//==-------- lsc_argument_type_deduction.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks that compiler is able to corrctly deduce the template
+// parameter types for lsc functions.
+
+#include "../esimd_test_utils.hpp"
+
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <unsigned SIMDSize> int testAccessor(queue q) {
+  auto size = size_t{128};
+
+  auto vec_0 = std::vector<int>(size);
+
+  std::iota(vec_0.begin(), vec_0.end(), 0);
+  auto buf_0 = buffer{vec_0};
+
+  try {
+    q.submit([&](handler &h) {
+      auto access_0 = buf_0.template get_access<access::mode::read_write>(h);
+
+      h.parallel_for(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize * sizeof(int);
+            auto offsets = simd<uint32_t, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                    sizeof(int));
+            auto data_0 = lsc_block_load<int, SIMDSize>(access_0, offset);
+            lsc_block_store(access_0, offset, data_0 * 2);
+          });
+    });
+    q.wait();
+    buf_0.template get_access<access::mode::read_write>();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i != size; ++i) {
+    if (vec_0[i] != 2 * i) {
+      ++error;
+      std::cout << "out[" << i << "] = 0x" << std::hex << vec_0[i]
+                << " vs etalon = 0x" << 2 * i << std::dec << std::endl;
+    }
+  }
+  std::cout << "Accessor lsc argument type deduction test ";
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
+
+template <unsigned SIMDSize> int testUSM(queue q) {
+  auto size = size_t{128};
+
+  auto *vec_0 = malloc_shared<int>(size, q);
+  std::iota(vec_0, vec_0 + size, 0);
+
+  try {
+    q.submit([&](handler &h) {
+      h.parallel_for(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize;
+            auto offsets = simd<uint32_t, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                    sizeof(int));
+            auto data_0 = lsc_block_load<int, SIMDSize>(vec_0 + offset);
+            lsc_block_store(vec_0 + offset, data_0 * 2);
+          });
+    });
+    q.wait();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    sycl::free(vec_0, q);
+    return 1;
+  }
+
+  int error = 0;
+  for (auto i = 0; i != size; ++i) {
+    if (vec_0[i] != 2 * i) {
+      ++error;
+      std::cout << "out[" << i << "] = 0x" << std::hex << vec_0[i]
+                << " vs etalon = 0x" << 2 * i << std::dec << std::endl;
+    }
+  }
+  sycl::free(vec_0, q);
+  std::cout << "USM lsc argument type deduction test ";
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
+
+int main() {
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<info::device::name>()
+            << std::endl;
+
+  int error = testUSM<8>(q);
+  error += testUSM<16>(q);
+  error += testUSM<32>(q);
+
+  error += testAccessor<8>(q);
+  error += testAccessor<16>(q);
+  error += testAccessor<32>(q);
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_fence.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_fence.cpp
new file mode 100644
index 0000000000000..400f1295a67e1
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_fence.cpp
@@ -0,0 +1,204 @@
+//==------------ lsc_fence.cpp - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the intrinsic lsc_fence on PVC.
+// It is based on https://en.wikipedia.org/wiki/Memory_barrier#Example
+
+#include <algorithm>
+#include <cmath>
+#include <iostream>
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+// Returns 'true' if the test passes.
+bool testGlobal(queue &Q, int OddOrEven /*0 - Even, 1 - Odd*/) {
+  constexpr size_t LocalSize = 16;
+  constexpr unsigned int SIMDSize = 8;
+  constexpr size_t Size = LocalSize * SIMDSize * 64;
+
+  int NumErrors = 0;
+  std::cout << "Running testGlobal() with OddOrEven = " << OddOrEven << "...";
+
+  int *A = aligned_alloc_shared<int>(128, Size, Q);
+  int *B = aligned_alloc_shared<int>(128, Size, Q);
+  int *ResA = aligned_alloc_shared<int>(128, Size, Q);
+  int *ResB = aligned_alloc_shared<int>(128, Size, Q);
+  std::fill(A, A + Size, 0);
+  std::fill(B, B + Size, 0);
+  std::fill(ResA, ResA + Size, 0);
+  std::fill(ResB, ResB + Size, 0);
+
+  try {
+    Q.submit([&](handler &h) {
+       range<1> GlobalRange(Size / SIMDSize);
+       range<1> LocalRange(LocalSize);
+       // There are many pairs of threads.
+       // 0-th thread:
+       //     A = 5;
+       //     lsc_fence;
+       //     B = 1;
+       // 1-st thread:
+       //     BB = B; // Don't use infinite loop 'while(B == 0) {}' as
+       //             // it was in the original example at wiki-page.
+       //             // That loop had incorrect assumption about compiler
+       //             // would keep the load inside the loop.
+       //     lsc_fence;
+       //     AA = A; // If B is 1, then A must be equal to 5.
+       h.parallel_for(nd_range<1>{GlobalRange, LocalRange},
+                      [=](nd_item<1> NdId) SYCL_ESIMD_KERNEL {
+                        auto GID = NdId.get_global_linear_id();
+                        auto Offset = GID / 2 * SIMDSize;
+                        auto ByteOffset = Offset * sizeof(int);
+
+                        if (NdId.get_local_linear_id() % 2 == OddOrEven) {
+                          // First thread: write data and condition
+                          // and provoke gpu to reorder instructions
+                          lsc_block_store<int, SIMDSize>(
+                              A + Offset, simd<int, SIMDSize>{5});
+
+                          // Protect from reordering the writes to A and B.
+                          lsc_fence<lsc_memory_kind::untyped_global>();
+
+                          lsc_block_store<int, SIMDSize>(
+                              B + Offset, simd<int, SIMDSize>{1});
+                        } else {
+                          auto BVec = lsc_block_load<int, SIMDSize>(B + Offset);
+
+                          // Protect from reordering the reads from B and A.
+                          lsc_fence<lsc_memory_kind::untyped_global>();
+
+                          auto AVec = lsc_block_load<int, SIMDSize>(A + Offset);
+
+                          AVec.copy_to(ResA + Offset);
+                          BVec.copy_to(ResB + Offset);
+                        }
+                      });
+     }).wait();
+  } catch (sycl::exception e) {
+    std::cout << "\nSYCL exception caught: " << e.what();
+    NumErrors = 1000;
+  }
+
+  for (int I = 0; I < Size / 2 && NumErrors < 10; I++) {
+    if (ResB[I] != 0 && ResA[I] == 0) {
+      NumErrors++;
+      std::cout << I << ": Error - B was written before A: A = " << ResA[I]
+                << ", B = " << ResB[I] << std::endl;
+    }
+  }
+
+  free(A, Q);
+  free(B, Q);
+  free(ResA, Q);
+  free(ResB, Q);
+  std::cout << " Done" << (NumErrors ? " with ERRORS" : "") << std::endl;
+  return NumErrors == 0;
+}
+
+bool testLocal(queue &Q) {
+  constexpr size_t LocalSize = 16;
+  constexpr unsigned int SIMDSize = 8;
+  constexpr size_t Size = LocalSize * SIMDSize * 64;
+
+  std::cout << "Running testLocal()...";
+
+  int NumErrors = 0;
+  int *ResA = aligned_alloc_shared<int>(128, Size, Q);
+  int *ResB = aligned_alloc_shared<int>(128, Size, Q);
+  std::fill(ResA, ResA + Size, 0);
+  std::fill(ResB, ResB + Size, 0);
+
+  try {
+    Q.submit([&](handler &h) {
+       range<2> GlobalRange(Size / SIMDSize, 2);
+       range<2> LocalRange(LocalSize, 2);
+       // There are many pairs of threads.
+       // 0-th thread:
+       //     A_SLM = 5;
+       //     mem_fence
+       //     B_SLM = 1;
+       // 1-st thread:
+       //     BB = B_SLM;
+       //     mem_fence
+       //     AA = A_SLM; // If BB is 1, then AA must be 5.
+       h.parallel_for(
+           nd_range<2>{GlobalRange, LocalRange},
+           [=](nd_item<2> NdId) SYCL_ESIMD_KERNEL {
+             constexpr int SLMSize = LocalSize * SIMDSize * 2 * sizeof(int);
+             // Allocate SLM memory and initialize it with zeroes.
+             slm_init<SLMSize>();
+             if (NdId.get_local_linear_id() == 0) {
+               for (int I = 0; I < SLMSize; I += SIMDSize * sizeof(int))
+                 lsc_slm_block_store<int, SIMDSize>(I, simd<int, SIMDSize>(0));
+             }
+             barrier();
+
+             auto Offset = NdId.get_local_id(0) * SIMDSize;
+             auto ByteOffsetA = Offset * sizeof(int);
+             auto ByteOffsetB = SLMSize / 2 + ByteOffsetA;
+             if (NdId.get_local_id(1) == 0) {
+               lsc_slm_block_store<int, SIMDSize>(ByteOffsetA,
+                                                  simd<int, SIMDSize>(5));
+               lsc_fence<lsc_memory_kind::shared_local>();
+               lsc_slm_block_store<int, SIMDSize>(ByteOffsetB,
+                                                  simd<int, SIMDSize>(1));
+             } else {
+               simd<int, SIMDSize> BVec =
+                   lsc_slm_block_load<int, SIMDSize>(ByteOffsetB);
+               lsc_fence<lsc_memory_kind::shared_local>();
+               simd<int, SIMDSize> AVec =
+                   lsc_slm_block_load<int, SIMDSize>(ByteOffsetA);
+
+               AVec.copy_to(ResA + Offset);
+               BVec.copy_to(ResB + Offset);
+             }
+           });
+     }).wait();
+  } catch (sycl::exception e) {
+    std::cout << "\nSYCL exception caught: " << e.what();
+    NumErrors = 1000;
+  }
+
+  for (int I = 0; I < Size && NumErrors < 10; I++) {
+    if (ResB[I] != 0 && ResA[I] == 0) {
+      NumErrors++;
+      std::cout << I << ": Error - B was written before A: A = " << ResA[I]
+                << ", B = " << ResB[I] << std::endl;
+    }
+  }
+
+  std::cout << " Done" << (NumErrors ? " with ERRORS" : "") << std::endl;
+
+  free(ResA, Q);
+  free(ResB, Q);
+  return NumErrors == 0;
+}
+
+int main() {
+  queue Q;
+  std::cout << "Running on "
+            << Q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  bool Passed = true;
+  Passed &= testGlobal(Q, 0);
+  Passed &= testGlobal(Q, 1);
+
+  Passed &= testLocal(Q);
+
+  std::cout << (Passed != 0 ? "PASSED" : "FAILED") << std::endl;
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u16.cpp
new file mode 100644
index 0000000000000..428c8291c4e36
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u16.cpp
@@ -0,0 +1,42 @@
+//==---------------- lsc_load_2d_u16.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint16_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 16, 32>(24, 64, 64, 6, 21);
+  passed &= test<2, T, 2, 2, 8, 4>(16, 16, 32, 2, 5);
+  passed &= test<3, T, 1, 1, 8, 4, 2>(16, 7, 32, 4, 1);
+
+  // transformed
+  passed &= test<4, T, 1, 1, 6, 10, 1, false, true>(18, 10, 32, 12, 0);
+  passed &= test<5, T, 1, 1, 8, 4, 4, false, true>(16, 10, 32, 6, 5);
+  passed &= test<6, T, 1, 1, 16, 2, 2, false, true>(32, 4, 32, 4, 1);
+  passed &= test<7, T, 1, 1, 2, 16, 2, false, true>(4, 20, 32, 0, 3);
+  passed &= test<8, T, 1, 1, 16, 32, 1, false, true>(24, 50, 32, 4, 14);
+  passed &= test<9, T, 1, 1, 6, 4, 4, false, true>(32, 10, 32, 4, 0);
+  passed &= test<10, T, 1, 1, 6, 4, 2, false, true>(16, 10, 32, 4, 0);
+  passed &= test<11, T, 1, 1, 4, 8, 2, false, true>(16, 10, 32, 4, 0);
+  passed &= test<12, T, 1, 1, 2, 16, 4, false, true>(16, 10, 32, 4, 0);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u32.cpp
new file mode 100644
index 0000000000000..e6f7a33a40b10
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u32.cpp
@@ -0,0 +1,38 @@
+//==---------------- lsc_load_2d_u32.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint32_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 16, 4>(16, 16, 32, 2, 1);
+  passed &= test<2, T, 2, 2, 8, 4>(16, 16, 16, 1, 5);
+  passed &= test<3, T, 1, 1, 8, 2, 2>(16, 4, 16, 3, 1);
+
+  // transposed
+  passed &= test<4, T, 2, 2, 1, 16, 1, true>(16, 20, 16, 1, 2);
+  passed &= test<5, T, 1, 1, 2, 8, 1, true>(12, 10, 16, 10, 1);
+  passed &= test<6, T, 1, 1, 4, 8, 1, true>(16, 10, 24, 11, 1);
+  passed &= test<7, T, 1, 1, 3, 8, 1, true>(16, 10, 20, 11, 1);
+  passed &= test<8, T, 1, 1, 8, 2, 1, true>(16, 6, 32, 10, 3);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u64.cpp
new file mode 100644
index 0000000000000..1a5d4c64a3b79
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u64.cpp
@@ -0,0 +1,37 @@
+//==---------------- lsc_load_2d_u64.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint64_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 8, 32>(8, 32, 8, 0, 0);
+  passed &= test<2, T, 2, 2, 8, 4>(16, 16, 16, 1, 5);
+  passed &= test<3, T, 1, 1, 4, 2>(16, 4, 16, 3, 1);
+
+  // transposed
+  passed &= test<4, T, 1, 1, 1, 8, 1, true>(16, 10, 16, 1, 2);
+  passed &= test<5, T, 1, 1, 2, 8, 1, true>(16, 10, 16, 10, 1);
+  passed &= test<6, T, 1, 1, 4, 8, 1, true>(16, 10, 16, 11, 1);
+  passed &= test<7, T, 2, 2, 4, 8, 1, true>(16, 9, 16, 1, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u8.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u8.cpp
new file mode 100644
index 0000000000000..f6a2ca8fde099
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_load_2d_u8.cpp
@@ -0,0 +1,39 @@
+//==---------------- lsc_load_2d_u8.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint8_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 16, 32, 2>(40, 64, 64, 4, 21);
+  passed &= test<2, T, 2, 2, 8, 8, 2>(16, 16, 64, 8, 5);
+  passed &= test<3, T, 1, 1, 8, 32, 2>(16, 80, 64, 4, 1);
+
+  // transformed
+  passed &= test<4, T, 1, 1, 16, 4, 4, false, true>(100, 10, 128, 16, 5);
+  passed &= test<5, T, 1, 1, 12, 20, 1, false, true>(16, 40, 64, 0, 0);
+  passed &= test<6, T, 1, 1, 16, 4, 2, false, true>(32, 4, 64, 4, 1);
+  passed &= test<7, T, 2, 2, 4, 16, 2, false, true>(4, 20, 64, 0, 3);
+  passed &= test<8, T, 1, 1, 16, 32, 1, false, true>(24, 80, 64, 4, 14);
+  passed &= test<9, T, 1, 1, 16, 4, 4, false, true>(64, 10, 64, 0, 0);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_load_store_2d_compare.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_load_store_2d_compare.cpp
new file mode 100644
index 0000000000000..2a54e901573d2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_load_store_2d_compare.cpp
@@ -0,0 +1,102 @@
+//==----- lsc_load_store_2d_compare.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The tests makes sure old and new load_2d/store_2d API produce identical
+// results.
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+int main() {
+  constexpr uint32_t BlockWidth = 16;
+  constexpr uint32_t BlockHeight = 4;
+  constexpr uint32_t NumBlocks = 1;
+  constexpr uint32_t SurfaceHeight = 16;
+  constexpr uint32_t SurfaceWidth = 16;
+  constexpr uint32_t SurfacePitch = 16;
+  constexpr uint32_t x = 0;
+  constexpr uint32_t y = 0;
+
+  constexpr uint32_t Size = SurfacePitch * SurfaceHeight * NumBlocks;
+
+  queue q;
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  auto *A = malloc_shared<float>(Size, q);
+  auto *B = malloc_shared<float>(Size, q);
+  auto *C = malloc_shared<float>(Size, q);
+  auto *C1 = malloc_shared<float>(Size, q);
+
+  for (auto i = 0; i != Size; i++) {
+    A[i] = B[i] = 7;
+    C[i] = C1[i] = 0;
+  }
+
+  auto e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test>(range<1>{1}, [=](id<1> i) SYCL_ESIMD_KERNEL {
+      constexpr uint32_t width = SurfaceWidth * sizeof(float) - 1;
+      constexpr uint32_t height = SurfaceHeight - 1;
+      constexpr uint32_t pitch = SurfacePitch * sizeof(float) - 1;
+      auto data_a = lsc_load2d<float, BlockWidth, BlockHeight, NumBlocks>(
+          A, width, height, pitch, x, y);
+      auto data_b = lsc_load2d<float, BlockWidth, BlockHeight, NumBlocks>(
+          B, width, height, pitch, x, y);
+
+      auto data_c = data_a + data_b;
+
+      lsc_store2d<float, BlockWidth, BlockHeight>(C, width, height, pitch, x, y,
+                                                  data_c);
+    });
+  });
+  e.wait();
+
+  auto e1 = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test1>(range<1>{1}, [=](id<1> i) SYCL_ESIMD_KERNEL {
+      constexpr uint32_t width = SurfaceWidth * sizeof(float) - 1;
+      constexpr uint32_t height = SurfaceHeight - 1;
+      constexpr uint32_t pitch = SurfacePitch * sizeof(float) - 1;
+
+      config_2d_mem_access<float, BlockWidth, BlockHeight, NumBlocks> payload(
+          A, width, height, pitch, 0, 0);
+      lsc_prefetch_2d<float, BlockWidth, BlockHeight, NumBlocks, false, false,
+                      cache_hint::cached, cache_hint::cached>(payload);
+      auto data_a = lsc_load_2d(payload);
+
+      payload.set_data_pointer(B);
+      lsc_prefetch_2d<float, BlockWidth, BlockHeight, NumBlocks, false, false,
+                      cache_hint::cached, cache_hint::cached>(payload);
+      auto data_b = lsc_load_2d(payload);
+
+      auto data_c = data_a + data_b;
+
+      payload.set_data_pointer(C1);
+
+      lsc_store_2d(payload, data_c);
+    });
+  });
+  e1.wait();
+
+  auto error = 0;
+  for (auto i = 0; i < Size; ++i)
+    error += std::abs(C[i] - C1[i]);
+
+  free(A, q);
+  free(B, q);
+  free(C, q);
+  free(C1, q);
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_load_store_2d_smoke.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_load_store_2d_smoke.cpp
new file mode 100644
index 0000000000000..ecaa65ff29902
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_load_store_2d_smoke.cpp
@@ -0,0 +1,92 @@
+//==------- lsc_load_store_2d_smoke.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Basic test for new lsc_load_2d/lsc_store_2d API.
+
+#include <algorithm>
+#include <cmath>
+#include <numeric>
+#include <random>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+int main() {
+  using namespace sycl;
+  using namespace sycl::ext::intel::esimd;
+  using namespace sycl::ext::intel::experimental::esimd;
+  constexpr uint32_t SurfaceHeight = 4;
+  constexpr uint32_t SurfaceWidth = 9;
+  constexpr uint32_t SurfacePitch = 16;
+  constexpr uint32_t x = 0;
+  constexpr uint32_t y = 0;
+  constexpr uint32_t BlockWidth = 4;
+  constexpr uint32_t BlockHeight = 4;
+  constexpr uint32_t NumBlocks = 1;
+
+  constexpr uint32_t Size = SurfaceHeight * SurfacePitch;
+
+  queue q;
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<sycl::info::device::name>()
+            << std::endl;
+
+  auto *input = malloc_shared<int>(Size, q);
+  std::iota(input, input + Size, 0);
+
+  auto *block_store = malloc_shared<int>(Size, q);
+
+  auto *ref = new int[Size];
+
+  for (int i = 0; i < Size; i++)
+    block_store[i] = ref[i] = rand() % 128;
+
+  for (int i = 0; i < BlockHeight; i++) {
+    for (int j = 0; j < BlockWidth; j++) {
+      ref[y * SurfacePitch + i * SurfacePitch + x + j] =
+          input[y * SurfacePitch + i * SurfacePitch + x + j];
+    }
+  }
+  try {
+    q.submit([&](handler &h) {
+      h.parallel_for<class SimplestKernel>(
+          range<1>{1}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            config_2d_mem_access<int, BlockWidth, BlockHeight, NumBlocks>
+                payload(input, (SurfaceWidth * sizeof(int)) - 1,
+                        SurfaceHeight - 1, (SurfacePitch * sizeof(int)) - 1, x,
+                        y);
+            lsc_prefetch_2d<int, BlockWidth, BlockHeight, NumBlocks, false,
+                            false, cache_hint::cached, cache_hint::cached>(
+                payload);
+            auto data = lsc_load_2d(payload);
+
+            payload.set_data_pointer(block_store);
+
+            lsc_store_2d(payload, data);
+          });
+    });
+    q.wait();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    free(input, q);
+    free(block_store, q);
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i < Size; ++i)
+    if (ref[i] != block_store[i])
+      error++;
+
+  free(input, q);
+  free(block_store, q);
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_predicate.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_predicate.cpp
new file mode 100644
index 0000000000000..83a462481956e
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_predicate.cpp
@@ -0,0 +1,160 @@
+//==------------ lsc_predicate.cpp - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks functionality of the lsc_block_load, lsc_block_store
+// with newly introduced predicate parameter.
+
+#include "../esimd_test_utils.hpp"
+
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <unsigned SIMDSize> int testAccessor(queue q) {
+  auto size = size_t{128};
+
+  auto vec_0 = std::vector<int>(size);
+  auto vec_2 = std::vector<int>(size);
+
+  std::iota(vec_0.begin(), vec_0.end(), 0);
+  std::iota(vec_2.begin(), vec_2.end(), 0);
+  auto buf_0 = buffer{vec_0};
+  auto buf_2 = buffer{vec_2};
+
+  try {
+    q.submit([&](handler &h) {
+      auto access_0 = buf_0.template get_access<access::mode::read_write>(h);
+      auto access_2 = buf_2.template get_access<access::mode::read_write>(h);
+
+      h.parallel_for(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize * sizeof(int);
+            auto offsets = simd<uint32_t, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                    sizeof(int));
+            auto pred_enable = simd_mask<1>(1);
+            auto pred_disable = simd_mask<1>(0);
+
+            auto data_0 =
+                lsc_block_load<int, SIMDSize>(access_0, offset, pred_enable);
+            lsc_block_store<int, SIMDSize>(access_0, offset, data_0 * 2,
+                                           pred_enable);
+
+            auto data_2 =
+                lsc_block_load<int, SIMDSize>(access_2, offset, pred_enable);
+            lsc_block_store<int, SIMDSize>(access_2, offset, data_2 * 2,
+                                           pred_disable);
+          });
+    });
+    q.wait();
+    buf_0.template get_access<access::mode::read_write>();
+    buf_2.template get_access<access::mode::read_write>();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i != size; ++i) {
+    if (vec_0[i] != 2 * i) {
+      ++error;
+      std::cout << " Accessor Test 1 out[" << i << "] = 0x" << std::hex
+                << vec_0[i] << " vs etalon = 0x" << 2 * i << std::dec
+                << std::endl;
+    }
+
+    if (vec_2[i] != i) {
+      ++error;
+      std::cout << " Accessor Test 2 out[" << i << "] = 0x" << std::hex
+                << vec_2[i] << " vs etalon = 0x" << i << std::dec << std::endl;
+    }
+  }
+  std::cout << "Accessor lsc predicate test ";
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
+
+template <unsigned SIMDSize> int testUSM(queue q) {
+  auto size = size_t{128};
+
+  auto *vec_0 = malloc_shared<int>(size, q);
+  auto *vec_1 = malloc_shared<int>(size, q);
+  std::iota(vec_0, vec_0 + size, 0);
+  std::iota(vec_1, vec_1 + size, 0);
+
+  try {
+    q.submit([&](handler &h) {
+      h.parallel_for(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize;
+
+            auto pred_enable = simd_mask<1>(1);
+            auto pred_disable = simd_mask<1>(0);
+
+            auto data_0 =
+                lsc_block_load<int, SIMDSize>(vec_0 + offset, pred_enable);
+            lsc_block_store<int, SIMDSize>(vec_0 + offset, data_0 * 2,
+                                           pred_enable);
+            auto data_1 =
+                lsc_block_load<int, SIMDSize>(vec_1 + offset, pred_enable);
+            lsc_block_store<int, SIMDSize>(vec_1 + offset, data_1 * 2,
+                                           pred_disable);
+          });
+    });
+    q.wait_and_throw();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    sycl::free(vec_0, q);
+    sycl::free(vec_1, q);
+    return 1;
+  }
+
+  int error = 0;
+  for (auto i = 0; i != size; ++i) {
+    if (vec_0[i] != 2 * i) {
+      ++error;
+      std::cout << " USM Test 1 out[" << i << "] = 0x" << std::hex << vec_0[i]
+                << " vs etalon = 0x" << 2 * i << std::dec << std::endl;
+    }
+
+    if (vec_1[i] != i) {
+      ++error;
+      std::cout << " USM Test 2 out[" << i << "] = 0x" << std::hex << vec_1[i]
+                << " vs etalon = 0x" << i << std::dec << std::endl;
+    }
+  }
+  sycl::free(vec_0, q);
+  sycl::free(vec_1, q);
+  std::cout << "USM lsc predicate test ";
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
+
+int main() {
+
+  auto q =
+      queue{esimd_test::ESIMDSelector, esimd_test::createExceptionHandler()};
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<info::device::name>()
+            << std::endl;
+
+  int error = testUSM<8>(q);
+  error += testUSM<16>(q);
+  error += testUSM<32>(q);
+
+  error += testAccessor<8>(q);
+  error += testAccessor<16>(q);
+  error += testAccessor<32>(q);
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_predicate_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_predicate_stateless.cpp
new file mode 100644
index 0000000000000..bbfbac9513498
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_predicate_stateless.cpp
@@ -0,0 +1,103 @@
+//==------------ lsc_predicate_stateless.cpp - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks functionality of the lsc_block_load, lsc_block_store
+// accessor - based ESIMD intrinsics when stateless memory accesses are
+// enforced, i.e. accessor based accesses are automatically converted to
+// stateless accesses with newly introduced predicate parameter.
+
+#include "../esimd_test_utils.hpp"
+
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <unsigned SIMDSize> int testAccessor(queue q) {
+  auto size = size_t{128};
+
+  auto vec_0 = std::vector<int>(size);
+  auto vec_2 = std::vector<int>(size);
+
+  std::iota(vec_0.begin(), vec_0.end(), 0);
+  std::iota(vec_2.begin(), vec_2.end(), 0);
+  auto buf_0 = buffer{vec_0};
+  auto buf_2 = buffer{vec_2};
+
+  try {
+    q.submit([&](handler &h) {
+      auto access_0 = buf_0.template get_access<access::mode::read_write>(h);
+      auto access_2 = buf_2.template get_access<access::mode::read_write>(h);
+
+      h.parallel_for(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize * sizeof(int);
+            auto offsets = simd<uint32_t, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                    sizeof(int));
+            auto pred_enable = simd_mask<1>(1);
+            auto pred_disable = simd_mask<1>(0);
+
+            auto data_0 =
+                lsc_block_load<int, SIMDSize>(access_0, offset, pred_enable);
+            lsc_block_store<int, SIMDSize>(access_0, offset, data_0 * 2,
+                                           pred_enable);
+
+            auto data_2 =
+                lsc_block_load<int, SIMDSize>(access_2, offset, pred_enable);
+            lsc_block_store<int, SIMDSize>(access_2, offset, data_2 * 2,
+                                           pred_disable);
+          });
+    });
+    q.wait();
+    buf_0.template get_access<access::mode::read_write>();
+    buf_2.template get_access<access::mode::read_write>();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i != size; ++i) {
+    if (vec_0[i] != 2 * i) {
+      ++error;
+      std::cout << " Accessor Test 1 out[" << i << "] = 0x" << std::hex
+                << vec_0[i] << " vs etalon = 0x" << 2 * i << std::dec
+                << std::endl;
+    }
+
+    if (vec_2[i] != i) {
+      ++error;
+      std::cout << " Accessor Test 2 out[" << i << "] = 0x" << std::hex
+                << vec_2[i] << " vs etalon = 0x" << i << std::dec << std::endl;
+    }
+  }
+
+  std::cout << "Accessor lsc predicate test ";
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
+
+int main() {
+
+  auto q =
+      queue{esimd_test::ESIMDSelector, esimd_test::createExceptionHandler()};
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<info::device::name>()
+            << std::endl;
+
+  int error = testAccessor<8>(q);
+  error += testAccessor<16>(q);
+  error += testAccessor<32>(q);
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u16.cpp
new file mode 100644
index 0000000000000..572108d6f188b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u16.cpp
@@ -0,0 +1,49 @@
+//==------------ lsc_prefetch_2d_u16.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint16_t;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 16, 32, 1, false, false, L1H, L3H, true>(
+      24, 64, 64, 6, 21);
+  passed &=
+      test<2, T, 2, 2, 8, 4, 1, false, false, L1H, L3H, true>(16, 16, 32, 2, 5);
+  passed &=
+      test<3, T, 1, 1, 8, 4, 2, false, false, L1H, L3H, true>(16, 7, 32, 4, 1);
+
+  // transformed
+  passed &=
+      test<4, T, 1, 1, 8, 4, 4, false, true, L1H, L3H, true>(16, 10, 32, 6, 5);
+  passed &= test<5, T, 1, 1, 6, 10, 1, false, true, L1H, L3H, true>(18, 10, 32,
+                                                                    12, 0);
+  passed &=
+      test<6, T, 1, 1, 16, 2, 2, false, true, L1H, L3H, true>(32, 4, 32, 4, 1);
+  passed &=
+      test<7, T, 2, 2, 2, 16, 2, false, true, L1H, L3H, true>(4, 20, 32, 0, 3);
+  passed &= test<8, T, 1, 1, 16, 32, 1, false, true, L1H, L3H, true>(24, 50, 32,
+                                                                     4, 14);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u32.cpp
new file mode 100644
index 0000000000000..831bdf78f1f68
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u32.cpp
@@ -0,0 +1,47 @@
+//==------------ lsc_prefetch_2d_u32.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint32_t;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 16, 4, 1, false, false, L1H, L3H, true>(16, 16, 32,
+                                                                     2, 1);
+  passed &=
+      test<2, T, 2, 2, 8, 4, 1, false, false, L1H, L3H, true>(16, 16, 16, 1, 5);
+  passed &=
+      test<3, T, 1, 1, 8, 2, 2, false, false, L1H, L3H, true>(16, 4, 16, 3, 1);
+
+  // transposed
+  passed &=
+      test<4, T, 1, 1, 1, 16, 1, true, false, L1H, L3H, true>(16, 20, 16, 1, 2);
+  passed &=
+      test<5, T, 1, 1, 2, 8, 1, true, false, L1H, L3H, true>(16, 10, 16, 10, 1);
+  passed &=
+      test<6, T, 1, 1, 4, 8, 1, true, false, L1H, L3H, true>(16, 10, 16, 11, 1);
+  passed &=
+      test<7, T, 2, 2, 8, 2, 1, true, false, L1H, L3H, true>(16, 4, 16, 1, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u64.cpp
new file mode 100644
index 0000000000000..941546a080c7d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u64.cpp
@@ -0,0 +1,47 @@
+//==------------ lsc_prefetch_2d_u64.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint64_t;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &=
+      test<1, T, 1, 1, 8, 32, 1, false, false, L1H, L3H, true>(8, 32, 8, 0, 0);
+  passed &=
+      test<2, T, 2, 2, 8, 4, 1, false, false, L1H, L3H, true>(16, 16, 16, 1, 5);
+  passed &=
+      test<3, T, 1, 1, 4, 2, 1, false, false, L1H, L3H, true>(16, 4, 16, 3, 1);
+
+  // transposed
+  passed &=
+      test<4, T, 1, 1, 1, 8, 1, true, false, L1H, L3H, true>(16, 10, 16, 1, 2);
+  passed &=
+      test<5, T, 1, 1, 2, 8, 1, true, false, L1H, L3H, true>(16, 10, 16, 10, 1);
+  passed &=
+      test<6, T, 1, 1, 4, 8, 1, true, false, L1H, L3H, true>(16, 10, 16, 11, 1);
+  passed &=
+      test<7, T, 2, 2, 4, 8, 1, true, false, L1H, L3H, true>(16, 9, 16, 1, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u8.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u8.cpp
new file mode 100644
index 0000000000000..b2afb8d8e6b79
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_prefetch_2d_u8.cpp
@@ -0,0 +1,49 @@
+//==------------ lsc_prefetch_2d_u8.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_load_prefetch_2d.hpp"
+
+constexpr uint32_t seed = 322;
+using T = uint8_t;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // These parameters require unpadding. It is not implemented yet
+  // passed &= test<0, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  // non transposed, non transformed
+  passed &= test<1, T, 1, 1, 16, 32, 2, false, false, L1H, L3H, true>(
+      40, 64, 64, 4, 21);
+  passed &=
+      test<2, T, 2, 2, 8, 8, 2, false, false, L1H, L3H, true>(16, 16, 64, 8, 5);
+  passed &= test<3, T, 1, 1, 8, 32, 2, false, false, L1H, L3H, true>(16, 80, 64,
+                                                                     4, 1);
+
+  // transformed
+  passed &= test<4, T, 1, 1, 16, 4, 4, false, true, L1H, L3H, true>(100, 10,
+                                                                    128, 16, 5);
+  passed &= test<5, T, 1, 1, 12, 20, 1, false, true, L1H, L3H, true>(16, 40, 64,
+                                                                     0, 0);
+  passed &=
+      test<6, T, 1, 1, 16, 4, 2, false, true, L1H, L3H, true>(32, 4, 64, 4, 1);
+  passed &=
+      test<7, T, 2, 2, 4, 16, 2, false, true, L1H, L3H, true>(4, 20, 64, 0, 3);
+  passed &= test<8, T, 1, 1, 16, 32, 1, false, true, L1H, L3H, true>(24, 80, 64,
+                                                                     4, 14);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_slm.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_slm.cpp
new file mode 100644
index 0000000000000..b435b846287d4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_slm.cpp
@@ -0,0 +1,111 @@
+//==------------ lsc_slm.cpp - DPC++ ESIMD on-device test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// TODO : esimd_emulator does not support lsc-atomic yet
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <cmath>
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+int main() {
+  using namespace sycl;
+  using namespace sycl::ext::intel::esimd;
+  using namespace sycl::ext::intel::experimental::esimd;
+  auto size = size_t{128};
+  auto constexpr SIMDSize = unsigned{4};
+
+  auto q =
+      queue{esimd_test::ESIMDSelector, esimd_test::createExceptionHandler()};
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<sycl::info::device::name>()
+            << std::endl;
+
+  auto vec_0 = std::vector<int>(size);
+  auto vec_1 = std::vector<int>(size);
+  auto vec_2 = std::vector<int>(size);
+  auto vec_3 = std::vector<int>(size);
+  auto vec_4 = std::vector<int>(size);
+  auto buf_0 = buffer{vec_0};
+  auto buf_1 = buffer{vec_1};
+  auto buf_2 = buffer{vec_2};
+  auto buf_3 = buffer{vec_3};
+  auto buf_4 = buffer{vec_4};
+
+  try {
+    q.submit([&](handler &h) {
+      auto access_0 = buf_0.template get_access<access::mode::read_write>(h);
+      auto access_1 = buf_1.template get_access<access::mode::read_write>(h);
+      auto access_2 = buf_2.template get_access<access::mode::read_write>(h);
+      auto access_3 = buf_3.template get_access<access::mode::read_write>(h);
+      auto access_4 = buf_4.template get_access<access::mode::read_write>(h);
+      h.parallel_for<class SimplestKernel>(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id * SIMDSize * sizeof(int);
+            auto offsets = simd<uint32_t, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                    sizeof(int));
+            auto data = simd<int, SIMDSize>(id * SIMDSize, 1);
+            auto pred = simd_mask<SIMDSize>(1);
+            auto add = simd<int, SIMDSize>(5);
+            auto compare = simd<int, SIMDSize>(id * SIMDSize, 1);
+            auto swap = compare * 2;
+
+            slm_init<4096>();
+            lsc_slm_block_store<int, SIMDSize>(offset, data * 2);
+            auto data_0 = lsc_slm_block_load<int, SIMDSize>(offset);
+            lsc_block_store<int, SIMDSize>(access_0, offset, data_0);
+
+            lsc_slm_scatter<int>(offsets, data * 2);
+            auto data_1 = lsc_slm_gather<int>(offsets);
+            lsc_block_store<int, SIMDSize>(access_1, offset, data_1);
+
+            lsc_slm_block_store<int, SIMDSize>(offset, data);
+            lsc_slm_atomic_update<atomic_op::inc, int>(offsets, pred);
+            auto data_2 = lsc_slm_block_load<int, SIMDSize>(offset);
+            lsc_block_store<int, SIMDSize>(access_2, offset, data_2);
+
+            lsc_slm_block_store<int, SIMDSize>(offset, data);
+            lsc_slm_atomic_update<atomic_op::add, int>(offsets, add, pred);
+            auto data_3 = lsc_slm_block_load<int, SIMDSize>(offset);
+            lsc_block_store<int, SIMDSize>(access_3, offset, data_3);
+
+            lsc_slm_block_store<int, SIMDSize>(offset, data);
+            lsc_slm_atomic_update<atomic_op::cmpxchg, int>(offsets, compare,
+                                                           swap, pred);
+            auto data_4 = lsc_slm_block_load<int, SIMDSize>(offset);
+            lsc_block_store<int, SIMDSize>(access_4, offset, data_4);
+          });
+    });
+    q.wait();
+    buf_0.template get_access<access::mode::read_write>();
+    buf_1.template get_access<access::mode::read_write>();
+    buf_2.template get_access<access::mode::read_write>();
+    buf_3.template get_access<access::mode::read_write>();
+    buf_4.template get_access<access::mode::read_write>();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i != size; ++i) {
+    error += std::abs(vec_0[i] - (i * 2));
+    error += std::abs(vec_1[i] - (i * 2));
+    error += std::abs(vec_2[i] - (i + 1));
+    error += std::abs(vec_3[i] - (i + 5));
+    error += std::abs(vec_4[i] - (i * 2));
+  }
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_slm_block_load.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_slm_block_load.cpp
new file mode 100644
index 0000000000000..e1e60ff399f3b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_slm_block_load.cpp
@@ -0,0 +1,44 @@
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correctness of LSC SLM block load intrinsics.
+
+#include "Inputs/lsc_slm_load.hpp"
+
+template <typename T, bool TestMerging> bool test_load(queue Q) {
+  constexpr bool Transpose = true;
+  constexpr int VS = 1;
+
+  bool Passed = true;
+  // test<type, NGroups, LocalSize, VL, VS, Transpose, TestMerging>(Q);
+  Passed &= test<T, 1, 1, 4, VS, Transpose, TestMerging>(Q);
+  Passed &= test<T, 1, 7, 16, VS, Transpose, TestMerging>(Q);
+  Passed &= test<T, 4, 7, 16, VS, Transpose, TestMerging>(Q);
+  Passed &= test<T, 16, 8, 8, VS, Transpose, TestMerging>(Q);
+  Passed &= test<T, 2, 4, 32, VS, Transpose, TestMerging>(Q);
+  Passed &= test<T, 2, 4, 64, VS, Transpose, TestMerging>(Q);
+  return Passed;
+}
+
+int main() {
+  bool Passed = true;
+
+  constexpr bool TestMerging = true;
+
+  auto Q = queue{gpu_selector_v};
+  std::cout << "Running lsc_slm_gather() tests on "
+            << Q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  Passed &= test_load<uint32_t, !TestMerging>(Q);
+  Passed &= test_load<uint64_t, !TestMerging>(Q);
+
+  Passed &= test_load<uint32_t, TestMerging>(Q);
+  Passed &= test_load<uint64_t, TestMerging>(Q);
+
+  // TODO: Enable the test with 1- and 2-byte element types, with floating point
+  // types when lsc_slm_block_load() API is ready.
+
+  std::cout << (Passed ? "Passed" : "FAILED") << std::endl;
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_slm_block_store.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_slm_block_store.cpp
new file mode 100644
index 0000000000000..6d8d887c79e65
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_slm_block_store.cpp
@@ -0,0 +1,37 @@
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correctness of LSC intrinsics storing
+// to SLM memory.
+
+#include "Inputs/lsc_slm_store.hpp"
+
+// This test verifies the correctness of LSC SLM block store intrinsics.
+
+// Id - test id.
+// NGroups - number of work groups.
+// LocalSize - number work items in each work group.
+// VL - number of offsets used in the gather operation.
+template <int Id, int NGroups, int LocalSize, int VL> bool test_store() {
+  bool Passed = true;
+  Passed &= test<Id, uint32_t, NGroups, LocalSize, VL, 1, true>();
+  Passed &= test<Id + 1, uint64_t, NGroups, LocalSize, VL, 1, true>();
+  return Passed;
+}
+
+int main(void) {
+  bool Passed = true;
+
+  // test_store<Id, NGroups, LocalSize, VL>();
+  Passed &= test_store<0, 1, 1, 4>();
+  Passed &= test_store<2, 1, 7, 16>();
+  Passed &= test_store<4, 4, 3, 2>();
+  Passed &= test_store<6, 16, 8, 8>();
+  Passed &= test_store<8, 2, 4, 32>();
+  Passed &= test_store<10, 2, 4, 64>();
+
+  std::cout << (Passed ? "Passed" : "FAILED") << std::endl;
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_slm_gather.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_slm_gather.cpp
new file mode 100644
index 0000000000000..3a8d0d85e2e2f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_slm_gather.cpp
@@ -0,0 +1,70 @@
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correctness of LSC SLM gather intrinsics.
+
+#include "Inputs/lsc_slm_load.hpp"
+
+template <typename T, bool CheckMerging> bool test_gather(queue Q) {
+  constexpr bool Transpose = true;
+
+  bool Passed = true;
+  Passed &= test<T, 1, 1, 1, 1, !Transpose, CheckMerging>(Q, 1);
+  Passed &= test<T, 2, 7, 4, 1, !Transpose, CheckMerging>(Q, 0x5f74);
+  Passed &= test<T, 2, 7, 16, 2, !Transpose, CheckMerging>(Q, 0x5f7f);
+  Passed &= test<T, 2, 4, 32, 2, !Transpose, CheckMerging>(Q, 0x32475f7a);
+
+  // Do not exceed 8 registers per read (i.e. 512 bytes).
+  if constexpr (sizeof(T) * 32 * 3 <= 512)
+    Passed &= test<T, 2, 4, 32, 3, !Transpose, CheckMerging>(Q, 0x32475f7a);
+  if constexpr (sizeof(T) * 32 * 4 <= 512)
+    Passed &= test<T, 2, 4, 32, 4, !Transpose, CheckMerging>(Q, 0x32475f7a);
+
+  if constexpr (std::is_integral_v<T> && sizeof(T) == 4) {
+    Passed &=
+        test<T, 1, 2, 16, 1, !Transpose, CheckMerging, lsc_data_size::u16u32>(
+            Q, 0x5f7f);
+    Passed &=
+        test<T, 2, 7, 32, 1, !Transpose, CheckMerging, lsc_data_size::u16u32>(
+            Q, 0x3a8b5f7f);
+
+    Passed &=
+        test<T, 1, 2, 16, 1, !Transpose, CheckMerging, lsc_data_size::u8u32>(
+            Q, 0x5f7f);
+    Passed &=
+        test<T, 2, 7, 32, 1, !Transpose, CheckMerging, lsc_data_size::u8u32>(
+            Q, 0x3a8b5f7f);
+  }
+
+  return Passed;
+}
+
+int main() {
+  constexpr bool CheckMerging = true;
+
+  auto Q = queue{gpu_selector_v};
+  std::cout << "Running lsc_slm_gather() tests on "
+            << Q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  bool Passed = true;
+  Passed &= test_gather<uint32_t, !CheckMerging>(Q);
+  Passed &= test_gather<uint32_t, CheckMerging>(Q);
+
+  Passed &= test_gather<uint64_t, !CheckMerging>(Q);
+  Passed &= test_gather<uint64_t, CheckMerging>(Q);
+
+  Passed &= test_gather<float, !CheckMerging>(Q);
+  Passed &= test_gather<float, CheckMerging>(Q);
+
+  Passed &= test_gather<double, !CheckMerging>(Q);
+  Passed &= test_gather<double, CheckMerging>(Q);
+
+  Passed &= test_gather<sycl::ext::intel::experimental::esimd::tfloat32,
+                        !CheckMerging>(Q);
+  Passed &= test_gather<sycl::ext::intel::experimental::esimd::tfloat32,
+                        CheckMerging>(Q);
+
+  std::cout << (Passed ? "Passed" : "FAILED") << std::endl;
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_slm_scatter.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_slm_scatter.cpp
new file mode 100644
index 0000000000000..e3686a2ba6167
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_slm_scatter.cpp
@@ -0,0 +1,49 @@
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correctness of LSC SLM scatter intrinsics.
+
+#include "Inputs/lsc_slm_store.hpp"
+
+// Id - test id.
+// NGroups - number of work groups.
+// LocalSize - number work items in each work group.
+// VL - number of offsets used in the scatter operation.
+// NChannels - number of stores per each address/offset.
+template <int Id, int NGroups, int LocalSize, int VL, int NChannels>
+bool test_scatter(uint32_t Mask) {
+  bool Passed = true;
+  Passed &= test<Id, uint32_t, NGroups, LocalSize, VL, NChannels, false>(Mask);
+  Passed &=
+      test<Id + 1, uint64_t, NGroups, LocalSize, VL, NChannels, false>(Mask);
+  return Passed;
+}
+
+int main(void) {
+  bool Passed = true;
+
+  Passed &= test_scatter<0, 1, 1, 1, 1>(1);
+  Passed &= test_scatter<2, 2, 7, 4, 1>(0x5f74);
+  Passed &= test_scatter<4, 2, 7, 16, 2>(0x5f7f);
+  Passed &= test_scatter<6, 2, 4, 32, 2>(0x32475f7a);
+  // These test_scatter<>() calls exceeds 8 register per write for uint64_t.
+  // Thus call them for uint32_t only.
+  //  Passed &= test_scatter<8, 2, 4, 32, 3>(0x32475f7a);
+  //  Passed &= test_scatter<10, 2, 4, 32, 4>(0x32475f7a);
+  Passed &= test<8, uint32_t, 2, 4, 32, 3, false>(0x32475f7a);
+  Passed &= test<10, uint32_t, 2, 4, 32, 4, false>(0x32475f7a);
+
+  Passed &=
+      test<100, uint32_t, 1, 7, 4, 1, false, lsc_data_size::u16u32>(0x5f7f);
+  Passed &= test<101, uint32_t, 2, 7, 32, 1, false, lsc_data_size::u16u32>(
+      0x3a8b5f7f);
+  Passed &=
+      test<102, uint32_t, 1, 7, 4, 1, false, lsc_data_size::u8u32>(0x5f7f);
+  Passed &=
+      test<103, uint32_t, 2, 7, 32, 1, false, lsc_data_size::u8u32>(0x3a8b5f7f);
+
+  std::cout << (Passed ? "Passed" : "FAILED") << std::endl;
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u16.cpp
new file mode 100644
index 0000000000000..ee8b19e6c7aa9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u16.cpp
@@ -0,0 +1,26 @@
+//==------------ lsc_store_2d_u16.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_store_2d.hpp"
+
+constexpr uint32_t seed = 295;
+using T = uint16_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= test<1, T, 1, 1, 32, 8>(40, 20, 64, 8, 11);
+  passed &= test<2, T, 2, 2, 2, 2>(16, 4, 32, 2, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u32.cpp
new file mode 100644
index 0000000000000..3bb76b29d1d9f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u32.cpp
@@ -0,0 +1,26 @@
+//==------------ lsc_store_2d_u32.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_store_2d.hpp"
+
+constexpr uint32_t seed = 633;
+using T = uint32_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= test<1, T, 1, 1, 16, 8>(32, 20, 64, 5, 11);
+  passed &= test<2, T, 2, 2, 2, 2>(16, 4, 16, 1, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u64.cpp
new file mode 100644
index 0000000000000..3cc5e31790c39
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u64.cpp
@@ -0,0 +1,26 @@
+//==------------ lsc_store_2d_u64.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_store_2d.hpp"
+
+constexpr uint32_t seed = 363;
+using T = uint64_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= test<1, T, 1, 1, 8, 8>(11, 20, 14, 3, 11);
+  passed &= test<2, T, 2, 2, 2, 2>(3, 3, 8, 1, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u8.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u8.cpp
new file mode 100644
index 0000000000000..5d3714d0f44ae
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_store_2d_u8.cpp
@@ -0,0 +1,26 @@
+//==------------ lsc_store_2d_u8.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_store_2d.hpp"
+
+constexpr uint32_t seed = 336;
+using T = uint8_t;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= test<1, T, 1, 1, 64, 8>(80, 20, 96, 16, 11);
+  passed &= test<2, T, 2, 2, 4, 2>(16, 4, 64, 4, 1);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf.cpp
new file mode 100644
index 0000000000000..43a419461a135
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf.cpp
@@ -0,0 +1,17 @@
+//==------------ lsc_surf.cpp - DPC++ ESIMD on-device test -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// TODO : esimd_emulator does not support lsc-atomic yet
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks functionality of the lsc_block_load, lsc_prefetch,
+// lsc_gather, lsc_scatter, lsc_atomic_update accessor-based ESIMD intrinsics.
+
+#include "Inputs/lsc_surf.hpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_stateless.cpp
new file mode 100644
index 0000000000000..6897de52de05d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_stateless.cpp
@@ -0,0 +1,50 @@
+//==------- lsc_surf_load_stateless.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks functionality of the lsc_block_load, lsc_prefetch, lsc_gather
+// accessor-based ESIMD intrinsics when stateless memory accesses are enforced,
+// i.e. accessor based accesses are automatically converted to stateless
+// accesses.
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 196;
+constexpr lsc_data_size DS_U8U32 = lsc_data_size::u8u32;
+constexpr lsc_data_size DS_U16U32 = lsc_data_size::u16u32;
+
+template <int TestCastNum, typename T, lsc_data_size DS> bool tests() {
+  bool passed = true;
+  passed &= test<TestCastNum, T, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<TestCastNum + 1, T, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<TestCastNum + 2, T, 4, 16, 2, 1, false, DS>(rand());
+
+  if constexpr (DS == lsc_data_size::default_size) {
+    passed &= test<TestCastNum + 3, T, 1, 4, 1, 32, true, DS>();
+    passed &= test<TestCastNum + 4, T, 2, 2, 1, 16, true, DS>();
+    passed &= test<TestCastNum + 5, T, 4, 4, 1, 4, true, DS>();
+  }
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+
+  bool passed = true;
+  passed &= tests<0, uint32_t, lsc_data_size::u8u32>();
+  passed &= tests<3, uint32_t, lsc_data_size::u16u32>();
+  passed &= tests<6, uint32_t, lsc_data_size::default_size>();
+  passed &= tests<12, uint64_t, lsc_data_size::default_size>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u16u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u16u32.cpp
new file mode 100644
index 0000000000000..66fd3d3024fe3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u16u32.cpp
@@ -0,0 +1,32 @@
+//==------- lsc_surf_load_u16u32.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 197;
+constexpr lsc_data_size DS = lsc_data_size::u16u32;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u32.cpp
new file mode 100644
index 0000000000000..81c0d288fafa3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u32.cpp
@@ -0,0 +1,54 @@
+//==------- lsc_surf_load_u32.cpp - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 199;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+
+  // non transpose
+  passed &= test<TestCastNum, T, 1, 4, 32, 1, false>(rand());
+  passed &= test<TestCastNum + 1, T, 1, 4, 32, 2, false>(rand());
+  passed &= test<TestCastNum + 2, T, 1, 4, 16, 2, false>(rand());
+  passed &= test<TestCastNum + 3, T, 1, 4, 4, 1, false>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false>(1);
+
+  // passed &= test<TestCastNum+6, T, 1, 4, 8, 2, false>(rand());
+  // passed &= test<TestCastNum+7, T, 1, 4, 8, 3, false>(rand());
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true>();
+
+  // test large number of elements
+  passed &= test<TestCastNum + 11, T, 2, 1, 1, 128, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, false, __ESIMD_NS::overaligned_tag<8>>(1);
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint32_t>();
+  passed &= tests<12, float>();
+  passed &= tests<24, sycl::ext::intel::experimental::esimd::tfloat32>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u32_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u32_stateless.cpp
new file mode 100644
index 0000000000000..7649e7b6eeb97
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u32_stateless.cpp
@@ -0,0 +1,13 @@
+//==----- lsc_surf_load_u32_stateless.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "lsc_surf_load_u32.cpp"
\ No newline at end of file
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u64.cpp
new file mode 100644
index 0000000000000..0dde86b6a0897
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u64.cpp
@@ -0,0 +1,45 @@
+//==------- lsc_surf_load_u64.cpp - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 198;
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+
+  // non transpose
+  passed &= test<TestCastNum, T, 1, 4, 32, 1, false>(rand());
+  passed &= test<TestCastNum + 1, T, 1, 4, 32, 2, false>(rand());
+  passed &= test<TestCastNum + 2, T, 1, 4, 16, 2, false>(rand());
+  passed &= test<TestCastNum + 3, T, 1, 4, 4, 1, false>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false>(1);
+
+  // passed &= test<TestCastNum+6, T, 1, 4, 8, 2, false>(rand());
+  // passed &= test<TestCastNum+7, T, 1, 4, 8, 3, false>(rand());
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true>();
+  return passed;
+}
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint64_t>();
+  passed &= tests<11, double>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u64_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u64_stateless.cpp
new file mode 100644
index 0000000000000..4ef240de7d5b4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u64_stateless.cpp
@@ -0,0 +1,13 @@
+//==----- lsc_surf_load_u64_stateless.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "lsc_surf_load_u64.cpp"
\ No newline at end of file
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8_u16.cpp
new file mode 100644
index 0000000000000..66bf2d9cb7fba
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8_u16.cpp
@@ -0,0 +1,43 @@
+//==------- lsc_surf_load_u8_u16.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 199;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  passed &= test<TestCastNum, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 1, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 2, T, 4, 4, 1, 4, true>();
+  passed &= test<TestCastNum + 3, T, 4, 4, 1, 128, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, false, __ESIMD_NS::overaligned_tag<8>>();
+  passed &= test<TestCastNum + 4, T, 4, 4, 1, 256, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, false, __ESIMD_NS::overaligned_tag<8>>();
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint8_t>();
+  passed &= tests<5, uint16_t>();
+  passed &= tests<10, sycl::ext::oneapi::bfloat16>();
+  passed &= tests<15, half>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8_u16_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8_u16_stateless.cpp
new file mode 100644
index 0000000000000..f464615197e64
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8_u16_stateless.cpp
@@ -0,0 +1,13 @@
+//==----- lsc_surf_load_u8_u16_stateless.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "lsc_surf_load_u8_u16.cpp"
\ No newline at end of file
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8u32.cpp
new file mode 100644
index 0000000000000..baf07dbbc5739
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_load_u8u32.cpp
@@ -0,0 +1,32 @@
+//==------- lsc_surf_load_u8u32.cpp - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 196;
+constexpr lsc_data_size DS = lsc_data_size::u8u32;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u16u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u16u32.cpp
new file mode 100644
index 0000000000000..9ef5be6d3ddc2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u16u32.cpp
@@ -0,0 +1,35 @@
+//==------------ lsc_surf_prefetch_u16u32.cpp - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 197;
+constexpr lsc_data_size DS = lsc_data_size::u16u32;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS, L1H, L3H, true>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u32.cpp
new file mode 100644
index 0000000000000..668a28b4581bd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u32.cpp
@@ -0,0 +1,52 @@
+//==------------ lsc_surf_prefetch_u32.cpp - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 199;
+constexpr lsc_data_size DS = lsc_data_size::u32;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  // non transpose
+  passed &=
+      test<TestCastNum, T, 1, 4, 32, 1, false, DS, L1H, L3H, true>(rand());
+  passed &=
+      test<TestCastNum + 1, T, 1, 4, 32, 2, false, DS, L1H, L3H, true>(rand());
+  passed &=
+      test<TestCastNum + 2, T, 1, 4, 16, 2, false, DS, L1H, L3H, true>(rand());
+  passed &=
+      test<TestCastNum + 3, T, 1, 4, 4, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false, DS, L1H, L3H, true>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false, DS, L1H, L3H, true>(1);
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true, DS, L1H, L3H, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true, DS, L1H, L3H, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true, DS, L1H, L3H, true>();
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint32_t>();
+  passed &= tests<11, float>();
+  passed &= tests<22, sycl::ext::intel::experimental::esimd::tfloat32>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u64.cpp
new file mode 100644
index 0000000000000..7d4b3b89117ae
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u64.cpp
@@ -0,0 +1,51 @@
+//==------------ lsc_surf_prefetch_u64.cpp - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 198;
+constexpr lsc_data_size DS = lsc_data_size::u64;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  // non transpose
+  passed &=
+      test<TestCastNum, T, 1, 4, 32, 1, false, DS, L1H, L3H, true>(rand());
+  passed &=
+      test<TestCastNum + 1, T, 1, 4, 32, 2, false, DS, L1H, L3H, true>(rand());
+  passed &=
+      test<TestCastNum + 2, T, 1, 4, 16, 2, false, DS, L1H, L3H, true>(rand());
+  passed &=
+      test<TestCastNum + 3, T, 1, 4, 4, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false, DS, L1H, L3H, true>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false, DS, L1H, L3H, true>(1);
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true, DS, L1H, L3H, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true, DS, L1H, L3H, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true, DS, L1H, L3H, true>();
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint64_t>();
+  passed &= tests<11, double>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u8u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u8u32.cpp
new file mode 100644
index 0000000000000..47abb43cd07f5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_prefetch_u8u32.cpp
@@ -0,0 +1,35 @@
+//==------------ lsc_surf_prefetch_u8u32.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_load.hpp"
+
+constexpr uint32_t seed = 196;
+constexpr lsc_data_size DS = lsc_data_size::u8u32;
+
+constexpr cache_hint L1H = cache_hint::cached;
+constexpr cache_hint L3H = cache_hint::uncached;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS, L1H, L3H, true>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS, L1H, L3H, true>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_stateless.cpp
new file mode 100644
index 0000000000000..59f7e0fbaa1ef
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_stateless.cpp
@@ -0,0 +1,18 @@
+//==------- lsc_surf_stateless.cpp - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks functionality of the lsc_block_load, lsc_prefetch,
+// lsc_gather, lsc_scatter, lsc_atomic_update accessor-based ESIMD intrinsics
+// when stateless memory accesses are enforced, i.e. accessor based accesses are
+// automatically converted to stateless accesses.
+
+#include "Inputs/lsc_surf.hpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_stateless.cpp
new file mode 100644
index 0000000000000..8ddb8cff285c5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_stateless.cpp
@@ -0,0 +1,50 @@
+//==------- lsc_surf_store_stateless.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test checks functionality of the lsc_block_store, lsc_scatter
+// accessor-based ESIMD intrinsics when stateless memory accesses are enforced,
+// i.e. accessor based accesses are automatically converted to stateless
+// accesses.
+
+#include "Inputs/lsc_surf_store.hpp"
+
+constexpr uint32_t seed = 196;
+constexpr lsc_data_size DS_U8U32 = lsc_data_size::u8u32;
+constexpr lsc_data_size DS_U16U32 = lsc_data_size::u16u32;
+
+template <int TestCastNum, typename T, lsc_data_size DS> bool tests() {
+  bool passed = true;
+  passed &= test<TestCastNum, T, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<TestCastNum + 1, T, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<TestCastNum + 2, T, 4, 16, 2, 1, false, DS>(rand());
+
+  if constexpr (DS == lsc_data_size::default_size) {
+    passed &= test<TestCastNum + 3, T, 1, 4, 1, 32, true, DS>();
+    passed &= test<TestCastNum + 4, T, 2, 2, 1, 16, true, DS>();
+    passed &= test<TestCastNum + 5, T, 4, 4, 1, 4, true, DS>();
+  }
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+
+  bool passed = true;
+  passed &= tests<0, uint32_t, lsc_data_size::u8u32>();
+  passed &= tests<3, uint32_t, lsc_data_size::u16u32>();
+  passed &= tests<6, uint32_t, lsc_data_size::default_size>();
+  passed &= tests<12, uint64_t, lsc_data_size::default_size>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u16u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u16u32.cpp
new file mode 100644
index 0000000000000..a1772b5c1971f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u16u32.cpp
@@ -0,0 +1,32 @@
+//==------- lsc_surf_store_u16u32.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_store.hpp"
+
+constexpr uint32_t seed = 297;
+constexpr lsc_data_size DS = lsc_data_size::u16u32;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u32.cpp
new file mode 100644
index 0000000000000..3343d6955dc58
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u32.cpp
@@ -0,0 +1,50 @@
+//==------- lsc_surf_store_u32.cpp - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_store.hpp"
+
+constexpr uint32_t seed = 299;
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  // non transpose
+  passed &= test<TestCastNum, T, 1, 4, 32, 1, false>(rand());
+  passed &= test<TestCastNum + 1, T, 1, 4, 32, 2, false>(rand());
+  passed &= test<TestCastNum + 2, T, 1, 4, 16, 2, false>(rand());
+  passed &= test<TestCastNum + 3, T, 1, 4, 4, 1, false>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false>(1);
+
+  // passed &= test<TestCastNum+6, T, 1, 4, 8, 2, false>(rand());
+  // passed &= test<TestCastNum+7, T, 1, 4, 8, 3, false>(rand());
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true>();
+  // large number of elements
+  passed &=
+      test<TestCastNum + 11, T, 2, 1, 1, 128, true, lsc_data_size::default_size,
+           cache_hint::none, cache_hint::none, __ESIMD_NS::overaligned_tag<8>>(
+          1);
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint32_t>();
+  passed &= tests<12, float>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u32_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u32_stateless.cpp
new file mode 100644
index 0000000000000..868c1a85511d2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u32_stateless.cpp
@@ -0,0 +1,13 @@
+//==----- lsc_surf_store_u32_stateless.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "lsc_surf_store_u32.cpp"
\ No newline at end of file
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u64.cpp
new file mode 100644
index 0000000000000..5d184494049bc
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u64.cpp
@@ -0,0 +1,46 @@
+//==------- lsc_surf_store_u64.cpp - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_store.hpp"
+
+constexpr uint32_t seed = 298;
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  // non transpose
+  passed &= test<TestCastNum, T, 1, 4, 32, 1, false>(rand());
+  passed &= test<TestCastNum + 1, T, 1, 4, 32, 2, false>(rand());
+  passed &= test<TestCastNum + 2, T, 1, 4, 16, 2, false>(rand());
+  passed &= test<TestCastNum + 3, T, 1, 4, 4, 1, false>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false>(1);
+
+  // passed &= test<TestCastNum+6, T, 1, 4, 8, 2, false>(rand());
+  // passed &= test<TestCastNum+7, T, 1, 4, 8, 3, false>(rand());
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true>();
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint64_t>();
+  passed &= tests<11, double>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u64_stateless.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u64_stateless.cpp
new file mode 100644
index 0000000000000..a64b49539153d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u64_stateless.cpp
@@ -0,0 +1,13 @@
+//==----- lsc_surf_store_u64_stateless.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-esimd-force-stateless-mem %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "lsc_surf_store_u64.cpp"
\ No newline at end of file
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u8_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u8_u16.cpp
new file mode 100644
index 0000000000000..62265627b70d3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u8_u16.cpp
@@ -0,0 +1,41 @@
+//==------- lsc_surf_store_u8_u16.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_store.hpp"
+
+constexpr uint32_t seed = 199;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  passed &= test<TestCastNum, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 1, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 2, T, 4, 4, 1, 4, true>();
+  passed &= test<TestCastNum + 3, T, 4, 4, 1, 128, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, __ESIMD_NS::overaligned_tag<8>>();
+  passed &= test<TestCastNum + 4, T, 4, 4, 1, 256, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, __ESIMD_NS::overaligned_tag<8>>();
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint8_t>();
+  passed &= tests<5, uint16_t>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u8u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u8u32.cpp
new file mode 100644
index 0000000000000..8e7e6c4acaa2d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_surf_store_u8u32.cpp
@@ -0,0 +1,32 @@
+//==------- lsc_surf_store_u8u32.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_surf_store.hpp"
+
+constexpr uint32_t seed = 296;
+constexpr lsc_data_size DS = lsc_data_size::u8u32;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm.cpp
new file mode 100644
index 0000000000000..74c07279184b2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm.cpp
@@ -0,0 +1,108 @@
+//==------------ lsc_usm.cpp - DPC++ ESIMD on-device test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// TODO : esimd_emulator does not support lsc-atomic yet
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <cmath>
+#include <numeric>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+int main() {
+  using namespace sycl;
+  using namespace sycl::ext::intel::esimd;
+  using namespace sycl::ext::intel::experimental::esimd;
+  auto size = size_t{128};
+  auto constexpr SIMDSize = unsigned{4};
+
+  auto q =
+      queue{esimd_test::ESIMDSelector, esimd_test::createExceptionHandler()};
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<sycl::info::device::name>()
+            << std::endl;
+
+  auto *vec_0 = malloc_shared<int>(size, q);
+  auto *vec_1 = malloc_shared<int>(size, q);
+  auto *vec_2 = malloc_shared<int>(size, q);
+  auto *vec_3 = malloc_shared<int>(size, q);
+  auto *vec_4 = malloc_shared<int>(size, q);
+  std::iota(vec_0, vec_0 + size, 0);
+  std::iota(vec_1, vec_1 + size, 0);
+  std::iota(vec_2, vec_2 + size, 0);
+  std::iota(vec_3, vec_3 + size, 0);
+  std::iota(vec_4, vec_4 + size, 0);
+
+  try {
+    q.submit([&](handler &h) {
+      h.parallel_for<class SimplestKernel>(
+          range<1>{size / SIMDSize}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            auto offset = id[0] * SIMDSize;
+            auto offsets = simd<Toffset, SIMDSize>(id * SIMDSize * sizeof(int),
+                                                   sizeof(int));
+            auto pred = simd_mask<SIMDSize>(1);
+            auto add = simd<int, SIMDSize>(5);
+            auto compare = simd<int, SIMDSize>(id * SIMDSize, 1);
+            auto swap = compare * 2;
+
+            lsc_prefetch<int, SIMDSize, lsc_data_size::default_size,
+                         cache_hint::cached, cache_hint::uncached>(vec_0 +
+                                                                   offset);
+            auto data_0 = lsc_block_load<int, SIMDSize>(vec_0 + offset);
+            lsc_block_store<int, SIMDSize>(vec_0 + offset, data_0 * 2);
+
+            lsc_prefetch<int, 1, lsc_data_size::default_size,
+                         cache_hint::cached, cache_hint::uncached>(vec_1,
+                                                                   offsets);
+            auto data_1 = lsc_gather<int>(vec_1, offsets);
+            lsc_scatter<int>(vec_1, offsets, data_1 * 2);
+
+            lsc_atomic_update<atomic_op::inc, int>(vec_2, offsets, pred);
+            lsc_atomic_update<atomic_op::add, int>(vec_3, offsets, add, pred);
+            lsc_atomic_update<atomic_op::cmpxchg, int>(vec_4, offsets, compare,
+                                                       swap, pred);
+          });
+    });
+    q.wait();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    sycl::free(vec_0, q);
+    sycl::free(vec_1, q);
+    sycl::free(vec_2, q);
+    sycl::free(vec_3, q);
+    sycl::free(vec_4, q);
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i != size; ++i) {
+    error += std::abs(vec_0[i] - 2 * i);
+    error += std::abs(vec_1[i] - 2 * i);
+    error += std::abs(vec_2[i] - (i + 1));
+    error += std::abs(vec_3[i] - (i + 5));
+    error += std::abs(vec_4[i] - (i * 2));
+  }
+  sycl::free(vec_0, q);
+  sycl::free(vec_1, q);
+  sycl::free(vec_2, q);
+  sycl::free(vec_3, q);
+  sycl::free(vec_4, q);
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_2d.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_2d.cpp
new file mode 100644
index 0000000000000..3289b33190f34
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_2d.cpp
@@ -0,0 +1,90 @@
+//==------------ lsc_usm_2d.cpp - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <cmath>
+#include <numeric>
+#include <random>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+int main() {
+  using namespace sycl;
+  using namespace sycl::ext::intel::esimd;
+  using namespace sycl::ext::intel::experimental::esimd;
+  unsigned data_height = 4;
+  unsigned data_width = 9;
+  unsigned data_pitch = 16;
+  unsigned x = 0;
+  unsigned y = 0;
+  unsigned size = data_height * data_pitch;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto device = q.get_device();
+  std::cout << "Device name: " << device.get_info<sycl::info::device::name>()
+            << std::endl;
+
+  auto *input = malloc_shared<int>(size, q);
+  std::iota(input, input + size, 0);
+
+  constexpr unsigned Width = 4;
+  constexpr unsigned Height = 4;
+  constexpr unsigned NumBlocks = 1;
+  auto *block_store = malloc_shared<int>(size, q);
+
+  auto *ref = new int[size];
+  // Fill dst and ref data which is untouched with random values
+  for (int i = 0; i < size; i++)
+    block_store[i] = ref[i] = rand() % 128;
+
+  for (int i = 0; i < Height; i++) {
+    for (int j = 0; j < Width; j++) {
+      ref[y * data_pitch + i * data_pitch + x + j] =
+          input[y * data_pitch + i * data_pitch + x + j];
+    }
+  }
+  try {
+    q.submit([&](handler &h) {
+      h.parallel_for<class SimplestKernel>(
+          range<1>{1}, [=](id<1> id) SYCL_ESIMD_KERNEL {
+            lsc_prefetch2d<int, Width, Height, NumBlocks, cache_hint::cached,
+                           cache_hint::uncached>(
+                input, (data_width * sizeof(int)) - 1, data_height - 1,
+                (data_pitch * sizeof(int)) - 1, x, y);
+            auto data = lsc_load2d<int, Width, Height, NumBlocks, false, false,
+                                   cache_hint::uncached, cache_hint::uncached>(
+                input, (data_width * sizeof(int)) - 1, data_height - 1,
+                (data_pitch * sizeof(int)) - 1, x, y);
+            lsc_store2d<int, Width, Height, cache_hint::uncached,
+                        cache_hint::uncached>(
+                block_store, (data_width * sizeof(int)) - 1, data_height - 1,
+                (data_pitch * sizeof(int)) - 1, x, y, data);
+          });
+    });
+    q.wait();
+  } catch (sycl::exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    free(input, q);
+    free(block_store, q);
+    return 1;
+  }
+
+  auto error = 0;
+  for (auto i = 0; i < size; ++i)
+    error += std::abs(ref[i] - block_store[i]);
+  free(input, q);
+  free(block_store, q);
+  std::cout << (error != 0 ? "FAILED" : "passed") << std::endl;
+  return error;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_64.cpp
new file mode 100644
index 0000000000000..cf08b98e9a4b5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_64.cpp
@@ -0,0 +1,16 @@
+//==------------ lsc_usm_64.cpp - DPC++ ESIMD on-device test --------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// TODO : esimd_emulator does not support lsc-atomic yet
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_atomic_cachehint.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_atomic_cachehint.cpp
new file mode 100644
index 0000000000000..356380aa675d6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_atomic_cachehint.cpp
@@ -0,0 +1,114 @@
+//==--- lsc_usm_atomic_cachehint.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// TODO : Test uses 'kernel_bundle' that is not supported in ESIMD_EMULATOR
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <stdlib.h>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+class Test;
+
+#define DTYPE float
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+ESIMD_INLINE void atomic_add_float(DTYPE *sA, simd_mask<16> M) {
+  simd<uint32_t, 16> offsets(
+      {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15});
+  simd<float, 16> mat({0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,
+                       0.5, 0.5, 0.5, 0.5, 0.5});
+  lsc_atomic_update<atomic_op::fadd, float, 16, lsc_data_size::default_size,
+                    cache_hint::uncached, cache_hint::write_back>(
+      (float *)sA, offsets * sizeof(float), mat, M);
+}
+
+int main(void) {
+  constexpr unsigned Size = 256;
+  constexpr unsigned VL = 16;
+  constexpr size_t LocalRange = 4;
+  constexpr size_t GlobalRange = 64;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  DTYPE *A = malloc_shared<DTYPE>(VL, q);
+  DTYPE *B = malloc_shared<DTYPE>(VL, q);
+  DTYPE *C = malloc_shared<DTYPE>(VL, q);
+  DTYPE *D = malloc_shared<DTYPE>(VL, q);
+
+  for (unsigned i = 0; i < VL; ++i) {
+    A[i] = 0;
+    B[i] = GlobalRange * 0.5; // expect changes in all elements
+    C[i] = 0;
+    D[i] = (i & 1) ? B[i] : 0; // expect changes in elements with odd indices
+  }
+
+  nd_range<1> Range(range<1>{GlobalRange}, range<1>{LocalRange});
+
+  std::vector<kernel_id> kernelId1 = {get_kernel_id<Test>()};
+  setenv("SYCL_PROGRAM_COMPILE_OPTIONS", "-vc-codegen -doubleGRF", 1);
+  auto inputBundle1 = get_kernel_bundle<bundle_state::input>(ctxt, kernelId1);
+  auto exeBundle1 = build(inputBundle1);
+  try {
+    q.submit([&](handler &cgh) {
+       cgh.use_kernel_bundle(exeBundle1);
+       cgh.parallel_for<Test>(Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+         atomic_add_float(A, 1);
+         simd_mask<16> M({0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1});
+         atomic_add_float(C, M);
+       });
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    free(C, q);
+    free(D, q);
+    return 1;
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < VL; ++i) {
+    if (A[i] != B[i]) {
+      if (++err_cnt < 10)
+        std::cerr << "A == B failed at " << i << ": " << A[i] << " != " << B[i]
+                  << "\n";
+    }
+    if (C[i] != D[i]) {
+      if (++err_cnt < 10)
+        std::cerr << "C == D failed at " << i << ": " << C[i] << " != " << D[i]
+                  << "\n";
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: " << ((float)(VL - err_cnt) / (float)VL) * 100.0f
+              << "% (" << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  free(A, q);
+  free(B, q);
+  free(C, q);
+  free(D, q);
+
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_atomic_cachehint_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_atomic_cachehint_64.cpp
new file mode 100644
index 0000000000000..68818480482d8
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_atomic_cachehint_64.cpp
@@ -0,0 +1,18 @@
+//==--- lsc_usm_atomic_cachehint_64.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// TODO : Test uses 'kernel_bundle' that is not supported in ESIMD_EMULATOR
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_atomic_cachehint.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32.cpp
new file mode 100644
index 0000000000000..73d8ae8d5cd17
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32.cpp
@@ -0,0 +1,27 @@
+//==------- lsc_usm_block_load_u32.cpp - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_block_load_prefetch.hpp"
+
+constexpr uint32_t Seed = 188;
+
+int main(void) {
+  srand(Seed);
+  bool Passed = true;
+
+  Passed &= test_lsc_block_load<uint32_t>();
+  Passed &= test_lsc_block_load<float>();
+  Passed &=
+      test_lsc_block_load<sycl::ext::intel::experimental::esimd::tfloat32>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32_64.cpp
new file mode 100644
index 0000000000000..389944f13616b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_block_load_u32_64.cpp - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_block_load_u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32_scalar_off.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32_scalar_off.cpp
new file mode 100644
index 0000000000000..877c6158df23d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u32_scalar_off.cpp
@@ -0,0 +1,16 @@
+//==-- lsc_usm_block_load_u32_scalar_off.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// scalar offset variant of the test - uses scalar offsets.
+
+#define USE_SCALAR_OFFSET
+
+#include "lsc_usm_block_load_u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64.cpp
new file mode 100644
index 0000000000000..21d22ac2d1090
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64.cpp
@@ -0,0 +1,25 @@
+//==------------ lsc_usm_block_load_u64.cpp - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_block_load_prefetch.hpp"
+
+constexpr uint32_t Seed = 187;
+
+int main(void) {
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_block_load<uint64_t>();
+  Passed &= test_lsc_block_load<double>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64_64.cpp
new file mode 100644
index 0000000000000..60fb66c458327
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_block_load_u64_64.cpp - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_block_load_u64.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64_scalar_off.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64_scalar_off.cpp
new file mode 100644
index 0000000000000..9b7a3b42c326f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u64_scalar_off.cpp
@@ -0,0 +1,16 @@
+//==-------- lsc_usm_load_u64_scalar_off.cpp - DPC++ ESIMD on-device test-==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// scalar offset variant of the test - uses scalar offsets.
+
+#define USE_SCALAR_OFFSET
+
+#include "lsc_usm_block_load_u64.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u8_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u8_u16.cpp
new file mode 100644
index 0000000000000..20cb330057fe0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u8_u16.cpp
@@ -0,0 +1,27 @@
+//==------- lsc_usm_block_load_u8_u16.cpp - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_block_load_prefetch.hpp"
+
+constexpr uint32_t Seed = 199;
+
+int main(void) {
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_block_load<uint8_t>();
+  Passed &= test_lsc_block_load<uint16_t>();
+  Passed &= test_lsc_block_load<sycl::ext::oneapi::bfloat16>();
+  Passed &= test_lsc_block_load<half>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u8_u16_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u8_u16_64.cpp
new file mode 100644
index 0000000000000..30a3f0292e109
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_block_load_u8_u16_64.cpp
@@ -0,0 +1,16 @@
+//==------ lsc_usm_block_load_u8_u16_64.cpp - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_block_load_u8_u16.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u16u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u16u32.cpp
new file mode 100644
index 0000000000000..2b9f531731f8a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u16u32.cpp
@@ -0,0 +1,24 @@
+//==------- lsc_usm_gather_u16u32.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr uint32_t Seed = 186;
+  constexpr lsc_data_size DS = lsc_data_size::u16u32;
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_gather<uint32_t, DS>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u16u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u16u32_64.cpp
new file mode 100644
index 0000000000000..6c0a4f9da07b2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u16u32_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_gather_u16u32_64.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_gather_u16u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u32.cpp
new file mode 100644
index 0000000000000..ef7b0ac77a750
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u32.cpp
@@ -0,0 +1,25 @@
+//==------- lsc_usm_gather_u32.cpp - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr uint32_t Seed = 185;
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_gather<uint32_t>();
+  Passed &= test_lsc_gather<float>();
+  Passed &= test_lsc_gather<sycl::ext::intel::experimental::esimd::tfloat32>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u32_64.cpp
new file mode 100644
index 0000000000000..95144172dcfc6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u32_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_gather_u32_64.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_gather_u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u64.cpp
new file mode 100644
index 0000000000000..ce21bee0d5d79
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u64.cpp
@@ -0,0 +1,24 @@
+//==------- lsc_usm_gather_u64.cpp - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr uint32_t Seed = 185;
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_gather<uint64_t>();
+  Passed &= test_lsc_gather<double>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u64_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u64_64.cpp
new file mode 100644
index 0000000000000..b7d0773d14d38
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u64_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_gather_u64_64.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_gather_u64.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8_u16.cpp
new file mode 100644
index 0000000000000..d66ddb191babf
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8_u16.cpp
@@ -0,0 +1,26 @@
+//==------- lsc_usm_gather_u8_u16.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr uint32_t Seed = 185;
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_gather<uint8_t>();
+  Passed &= test_lsc_gather<uint16_t>();
+  Passed &= test_lsc_gather<sycl::ext::oneapi::bfloat16>();
+  Passed &= test_lsc_gather<half>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8_u16_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8_u16_64.cpp
new file mode 100644
index 0000000000000..5be69053ec7b6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8_u16_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_gather_u8_u16_64.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_gather_u8_u16.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8u32.cpp
new file mode 100644
index 0000000000000..e517fc1109772
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8u32.cpp
@@ -0,0 +1,24 @@
+//==------- lsc_usm_gather_u8u32.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr uint32_t Seed = 185;
+  constexpr lsc_data_size DS = lsc_data_size::u8u32;
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_gather<uint32_t, DS>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8u32_64.cpp
new file mode 100644
index 0000000000000..1348aef99bf86
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_gather_u8u32_64.cpp
@@ -0,0 +1,16 @@
+//==------- lsc_usm_gather_u8u32_64.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_gather_u8u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u16u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u16u32.cpp
new file mode 100644
index 0000000000000..08ef76d27f614
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u16u32.cpp
@@ -0,0 +1,25 @@
+//==------------ lsc_usm_prefetch_u16u32.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr lsc_data_size DS = lsc_data_size::u16u32;
+  constexpr uint32_t Seed = 186;
+  srand(Seed);
+  constexpr bool GatherLikePrefetch = true;
+
+  bool Passed = true;
+  Passed &= test_lsc_prefetch<uint32_t, DS>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u16u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u16u32_64.cpp
new file mode 100644
index 0000000000000..3d91ae91449f2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u16u32_64.cpp
@@ -0,0 +1,17 @@
+//==--------- lsc_usm_prefetch_u16u32_64.cpp - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_prefetch_u16u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32.cpp
new file mode 100644
index 0000000000000..9adbf62a5bf0d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32.cpp
@@ -0,0 +1,37 @@
+//==------------ lsc_usm_prefetch_u32.cpp - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_block_load_prefetch.hpp"
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+template <typename T> bool tests() {
+  constexpr lsc_data_size DS = lsc_data_size::u32;
+  constexpr bool GatherLikePrefetch = true;
+
+  bool Passed = true;
+  Passed &= test_lsc_prefetch<T, DS, GatherLikePrefetch>();
+  Passed &= test_lsc_prefetch<T, DS, !GatherLikePrefetch>();
+
+  return Passed;
+}
+
+int main(void) {
+  constexpr uint32_t Seed = 188;
+  srand(Seed);
+  bool Passed = true;
+
+  Passed &= tests<uint32_t>();
+  Passed &= tests<float>();
+  Passed &= tests<sycl::ext::intel::experimental::esimd::tfloat32>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32_64.cpp
new file mode 100644
index 0000000000000..a25a7225a0ed3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32_64.cpp
@@ -0,0 +1,16 @@
+//==--------- lsc_usm_prefetch_u32_64.cpp - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_prefetch_u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32_scalar_off.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32_scalar_off.cpp
new file mode 100644
index 0000000000000..b50f64f7a2da3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u32_scalar_off.cpp
@@ -0,0 +1,16 @@
+//==--- lsc_usm_prefetch_u32_scalar_off.cpp - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// scalar offset variant of the test - uses scalar offsets.
+
+#define USE_SCALAR_OFFSET
+
+#include "lsc_usm_prefetch_u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64.cpp
new file mode 100644
index 0000000000000..2f6d0d311ba59
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64.cpp
@@ -0,0 +1,36 @@
+//==------------ lsc_usm_prefetch_u64.cpp - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_block_load_prefetch.hpp"
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+template <typename T> bool tests() {
+  constexpr lsc_data_size DS = lsc_data_size::u64;
+  constexpr bool GatherLikePrefetch = true;
+
+  bool Passed = true;
+  Passed &= test_lsc_prefetch<T, DS, GatherLikePrefetch>();
+  Passed &= test_lsc_prefetch<T, DS, !GatherLikePrefetch>();
+
+  return Passed;
+}
+
+int main(void) {
+  constexpr uint32_t Seed = 188;
+  srand(Seed);
+  bool Passed = true;
+
+  Passed &= tests<uint64_t>();
+  Passed &= tests<double>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64_64.cpp
new file mode 100644
index 0000000000000..0abe2ce4fe4be
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64_64.cpp
@@ -0,0 +1,16 @@
+//==--------- lsc_usm_prefetch_u64_64.cpp - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_prefetch_u64.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64_scalar_off.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64_scalar_off.cpp
new file mode 100644
index 0000000000000..0518969066e64
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u64_scalar_off.cpp
@@ -0,0 +1,16 @@
+//==--- lsc_usm_prefetch_u64_scalar_off.cpp - DPC++ ESIMD on-device test---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// scalar offset variant of the test - uses scalar offsets.
+
+#define USE_SCALAR_OFFSET
+
+#include "lsc_usm_prefetch_u64.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u8u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u8u32.cpp
new file mode 100644
index 0000000000000..79d73453f02ce
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u8u32.cpp
@@ -0,0 +1,24 @@
+//==------------ lsc_usm_prefetch_u8u32.cpp - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_gather_prefetch.hpp"
+
+int main(void) {
+  constexpr lsc_data_size DS = lsc_data_size::u8u32;
+  constexpr uint32_t Seed = 186;
+  srand(Seed);
+
+  bool Passed = true;
+  Passed &= test_lsc_prefetch<uint32_t, DS>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u8u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u8u32_64.cpp
new file mode 100644
index 0000000000000..4dd320c443827
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_prefetch_u8u32_64.cpp
@@ -0,0 +1,16 @@
+//==--------- lsc_usm_prefetch_u8u32_64.cpp - DPC++ ESIMD on-device test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_prefetch_u8u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u16u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u16u32.cpp
new file mode 100644
index 0000000000000..4baedc916c78f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u16u32.cpp
@@ -0,0 +1,32 @@
+//==------- lsc_usm_store_u16u32.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_store.hpp"
+
+constexpr uint32_t seed = 286;
+constexpr lsc_data_size DS = lsc_data_size::u16u32;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u16u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u16u32_64.cpp
new file mode 100644
index 0000000000000..6e8e1ae7a96be
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u16u32_64.cpp
@@ -0,0 +1,17 @@
+//==------- lsc_usm_store_u16u32_64.cpp - DPC++ ESIMD on-device test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_store_u16u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u32.cpp
new file mode 100644
index 0000000000000..1469d53fc8755
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u32.cpp
@@ -0,0 +1,51 @@
+//==------- lsc_usm_store_u32.cpp - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_store.hpp"
+
+constexpr uint32_t seed = 299;
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  // non transpose
+  passed &= test<TestCastNum, T, 1, 4, 32, 1, false>(rand());
+  passed &= test<TestCastNum + 1, T, 1, 4, 32, 2, false>(rand());
+  passed &= test<TestCastNum + 2, T, 1, 4, 16, 2, false>(rand());
+  passed &= test<TestCastNum + 3, T, 1, 4, 4, 1, false>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false>(1);
+
+  // passed &= test<TestCastNum + 6, T, 1, 4, 8, 2, false>(rand());
+  // passed &= test<TestCastNum  +7, T, 1, 4, 8, 3, false>(rand());
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true>();
+
+  // large number of elements
+  passed &= test<TestCastNum + 11, T, 4, 4, 1, 128, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, __ESIMD_NS::overaligned_tag<8>>();
+
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint32_t>();
+  passed &= tests<12, float>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u32_64.cpp
new file mode 100644
index 0000000000000..95812a35cbacf
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u32_64.cpp
@@ -0,0 +1,17 @@
+//==------- lsc_usm_store_u32_64.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_store_u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u64.cpp
new file mode 100644
index 0000000000000..62254657fb68e
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u64.cpp
@@ -0,0 +1,46 @@
+//==------- lsc_usm_store_u64.cpp - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_store.hpp"
+
+constexpr uint32_t seed = 287;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  // non transpose
+  passed &= test<TestCastNum, T, 1, 4, 32, 1, false>(rand());
+  passed &= test<TestCastNum + 1, T, 1, 4, 32, 2, false>(rand());
+  passed &= test<TestCastNum + 2, T, 1, 4, 16, 2, false>(rand());
+  passed &= test<TestCastNum + 3, T, 1, 4, 4, 1, false>(rand());
+  passed &= test<TestCastNum + 4, T, 1, 1, 1, 1, false>(1);
+  passed &= test<TestCastNum + 5, T, 2, 1, 1, 1, false>(1);
+
+  // passed &= test<TestCastNum + 6, T, 1, 4, 8, 2, false>(rand());
+  // passed &= test<TestCastNum + 7, T, 1, 4, 8, 3, false>(rand());
+
+  // transpose
+  passed &= test<TestCastNum + 8, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 9, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 10, T, 4, 4, 1, 4, true>();
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint64_t>();
+  passed &= tests<11, double>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u64_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u64_64.cpp
new file mode 100644
index 0000000000000..9fb0cc421633b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u64_64.cpp
@@ -0,0 +1,17 @@
+//==------- lsc_usm_store_u64_64.cpp - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_store_u64.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8_u16.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8_u16.cpp
new file mode 100644
index 0000000000000..65cd1b602db23
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8_u16.cpp
@@ -0,0 +1,45 @@
+//==------- lsc_usm_store_u8_u16.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_store.hpp"
+
+constexpr uint32_t seed = 199;
+
+template <int TestCastNum, typename T> bool tests() {
+  bool passed = true;
+  passed &= test<TestCastNum, T, 1, 4, 1, 32, true>();
+  passed &= test<TestCastNum + 1, T, 2, 2, 1, 16, true>();
+  passed &= test<TestCastNum + 2, T, 4, 4, 1, 4, true>();
+  passed &= test<TestCastNum + 3, T, 4, 4, 1, 128, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, __ESIMD_NS::overaligned_tag<8>>();
+  passed &= test<TestCastNum + 4, T, 4, 4, 1, 256, true,
+                 lsc_data_size::default_size, cache_hint::none,
+                 cache_hint::none, __ESIMD_NS::overaligned_tag<8>>();
+  if constexpr (sizeof(T) == 1) {
+    passed &= test<TestCastNum + 5, T, 4, 4, 1, 512, true,
+                   lsc_data_size::default_size, cache_hint::none,
+                   cache_hint::none, __ESIMD_NS::overaligned_tag<8>>();
+  }
+  return passed;
+}
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  passed &= tests<0, uint8_t>();
+  passed &= tests<6, uint16_t>();
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8_u16_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8_u16_64.cpp
new file mode 100644
index 0000000000000..c60a678b4058b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8_u16_64.cpp
@@ -0,0 +1,17 @@
+//==------- lsc_usm_store_u8_u16_64.cpp - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_store_u8_u16.cpp"
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8u32.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8u32.cpp
new file mode 100644
index 0000000000000..e71c9583b2d68
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8u32.cpp
@@ -0,0 +1,32 @@
+//==------- lsc_usm_store_u8u32.cpp - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "Inputs/lsc_usm_store.hpp"
+
+constexpr uint32_t seed = 285;
+constexpr lsc_data_size DS = lsc_data_size::u8u32;
+
+int main(void) {
+  srand(seed);
+  bool passed = true;
+
+  // non-transpose
+  passed &= test<0, uint32_t, 1, 1, 1, 1, false, DS>(rand());
+  passed &= test<1, uint32_t, 1, 4, 32, 1, false, DS>(rand());
+  passed &= test<2, uint32_t, 2, 4, 16, 1, false, DS>(rand());
+  passed &= test<3, uint32_t, 2, 2, 8, 1, false, DS>(rand());
+  passed &= test<4, uint32_t, 4, 2, 4, 1, false, DS>(rand());
+  passed &= test<5, uint32_t, 4, 16, 2, 1, false, DS>(rand());
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8u32_64.cpp b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8u32_64.cpp
new file mode 100644
index 0000000000000..c51c9620e31b1
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/lsc/lsc_usm_store_u8u32_64.cpp
@@ -0,0 +1,17 @@
+//==------- lsc_usm_store_u8u32_64.cpp - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc || esimd_emulator
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "lsc_usm_store_u8u32.cpp"
diff --git a/sycl/test-e2e/ESIMD/mandelbrot/golden_hw.ppm b/sycl/test-e2e/ESIMD/mandelbrot/golden_hw.ppm
new file mode 100755
index 0000000000000..566724a49bf9a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/mandelbrot/golden_hw.ppm
@@ -0,0 +1,213 @@
+P6
+800 600
+255
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diff --git a/sycl/test-e2e/ESIMD/mandelbrot/mandelbrot.cpp b/sycl/test-e2e/ESIMD/mandelbrot/mandelbrot.cpp
new file mode 100644
index 0000000000000..b0cb18407253c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/mandelbrot/mandelbrot.cpp
@@ -0,0 +1,193 @@
+//==---------------- mandelbrot.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -I%S/.. -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %T/output.ppm %S/golden_hw.ppm
+
+#include "esimd_test_utils.hpp"
+#include <array>
+#include <iostream>
+#include <memory>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+#ifdef _SIM_MODE_
+#define CRUNCH 32
+#else
+#define CRUNCH 512 // emu/hw modes
+#endif
+
+#define SCALE 0.004
+#define XOFF -2.09798
+#define YOFF -1.19798
+
+#define WIDTH 800
+#define HEIGHT 602
+
+#define EMU_TOTAL_MISMATCH_RATE_TOLERANCE                                      \
+  0.0027 // the observed total mismatch rate (due to inherent divergency in host
+         // vs GPU FP computations)
+
+template <typename ACC>
+ESIMD_INLINE void mandelbrot(ACC out_image, int ix, int iy, int crunch,
+                             float xOff, float yOff, float scale) {
+  ix *= 8;
+  iy *= 2;
+
+  simd<int, 16> m = 0;
+
+  // SIMT_BEGIN(16, lane) {
+  for (auto lane = 0; lane < 16; ++lane) {
+    int ix_lane = ix + (lane & 0x7);
+    int iy_lane = iy + (lane >> 3);
+    float xPos = ix_lane * scale + xOff;
+    float yPos = iy_lane * scale + yOff;
+    float x = 0.0f;
+    float y = 0.0f;
+    float xx = 0.0f;
+    float yy = 0.0f;
+
+    int mtemp = 0;
+    do {
+      y = x * y * 2.0f + yPos;
+      x = xx - yy + xPos;
+      yy = y * y;
+      xx = x * x;
+      mtemp += 1;
+    } while ((mtemp < crunch) & (xx + yy < 4.0f));
+
+    m.select<1, 1>(lane) = mtemp;
+
+  } // SIMT_END
+
+  simd<int, 16> color = (((m * 15) & 0xff)) + (((m * 7) & 0xff) * 256) +
+                        (((m * 3) & 0xff) * 65536);
+
+  // because the output is a y-tile 2D surface
+  // we can only write 32-byte wide
+  media_block_store<unsigned char, 2, 32>(out_image, ix * sizeof(int), iy,
+                                          color.bit_cast_view<unsigned char>());
+}
+
+int main(int argc, char *argv[]) {
+  if (argc != 3) {
+    std::cerr << "Usage: mandelbrot.exe output_file ref_file" << std::endl;
+    exit(1);
+  }
+  // Gets the width and height of the input image.
+  const unsigned img_size = WIDTH * HEIGHT * 4;
+  // Sets output to blank image.
+  unsigned char *buf = new unsigned char[img_size];
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+
+  queue q = esimd_test::createQueue();
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    sycl::image<2> imgOutput((unsigned int *)buf, image_channel_order::rgba,
+                             image_channel_type::unsigned_int8,
+                             range<2>{WIDTH, HEIGHT});
+
+    // We need that many workitems
+    uint range_width = WIDTH / 8;
+    uint range_height = HEIGHT / 2;
+    sycl::range<2> GlobalRange{range_width, range_height};
+
+    // Number of workitems in a workgroup
+    sycl::range<2> LocalRange{1, 1};
+
+    auto dev = q.get_device();
+    auto ctxt = q.get_context();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      auto e = q.submit([&](sycl::handler &cgh) {
+        auto accOutput =
+            imgOutput.get_access<uint4, sycl::access::mode::write>(cgh);
+
+        cgh.parallel_for<class Test>(
+            GlobalRange * LocalRange, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              uint h_pos = it.get_id(0);
+              uint v_pos = it.get_id(1);
+              mandelbrot(accOutput, h_pos, v_pos, CRUNCH, XOFF, YOFF, SCALE);
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] buf;
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  char *out_file = argv[1];
+  FILE *dumpfile = fopen(out_file, "wb");
+  if (!dumpfile) {
+    std::cerr << "Cannot open " << out_file << std::endl;
+    return -2;
+  }
+  fprintf(dumpfile, "P6\x0d\x0a");
+  fprintf(dumpfile, "%u %u\x0d\x0a", WIDTH, (HEIGHT - 2));
+  fprintf(dumpfile, "%u\x0d\x0a", 255);
+  fclose(dumpfile);
+  dumpfile = fopen(out_file, "ab");
+  for (int32_t i = 0; i < WIDTH * (HEIGHT - 2); ++i) {
+    fwrite(&buf[i * 4], sizeof(char), 1, dumpfile);
+    fwrite(&buf[i * 4 + 1], sizeof(char), 1, dumpfile);
+    fwrite(&buf[i * 4 + 2], sizeof(char), 1, dumpfile);
+  }
+  fclose(dumpfile);
+
+  bool passed = true;
+  if (!esimd_test::cmp_binary_files<unsigned char>(
+          out_file, argv[2], 0,
+          q.get_backend() == sycl::backend::ext_intel_esimd_emulator
+              ? EMU_TOTAL_MISMATCH_RATE_TOLERANCE
+              : 0)) {
+    std::cerr << out_file << " does not match the reference file " << argv[2]
+              << std::endl;
+    passed = false;
+  }
+
+  delete[] buf;
+
+  if (passed) {
+    std::cerr << "PASSED\n";
+    return 0;
+  } else {
+    std::cerr << "FAILED\n";
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/ESIMD/mandelbrot/mandelbrot_spec.cpp b/sycl/test-e2e/ESIMD/mandelbrot/mandelbrot_spec.cpp
new file mode 100644
index 0000000000000..534b46074797f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/mandelbrot/mandelbrot_spec.cpp
@@ -0,0 +1,221 @@
+//==---------------- mandelbrot.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO enable on Windows
+// REQUIRES: linux && gpu
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -I%S/.. -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %T/output_spec.ppm %S/golden_hw.ppm 512 -2.09798 -1.19798 0.004 4.0
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <iostream>
+#include <memory>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+#ifdef _SIM_MODE_
+#define CRUNCH 32
+#else
+#define CRUNCH 512 // emu/hw modes
+#endif
+
+#define SCALE 0.004
+#define XOFF -2.09798
+#define YOFF -1.19798
+
+#define WIDTH 800
+#define HEIGHT 602
+
+constexpr specialization_id<int> CrunchConst;
+constexpr specialization_id<float> XoffConst;
+constexpr specialization_id<float> YoffConst;
+constexpr specialization_id<float> ScaleConst;
+constexpr specialization_id<float> ThrsConst;
+
+template <typename ACC>
+ESIMD_INLINE void mandelbrot(ACC out_image, int ix, int iy, int crunch,
+                             float xOff, float yOff, float scale, float thrs) {
+  ix *= 8;
+  iy *= 2;
+
+  simd<int, 16> m = 0;
+
+  for (auto lane = 0; lane < 16; ++lane) {
+    int ix_lane = ix + (lane & 0x7);
+    int iy_lane = iy + (lane >> 3);
+    float xPos = ix_lane * scale + xOff;
+    float yPos = iy_lane * scale + yOff;
+    float x = 0.0f;
+    float y = 0.0f;
+    float xx = 0.0f;
+    float yy = 0.0f;
+
+    int mtemp = 0;
+    do {
+      y = x * y * 2.0f + yPos;
+      x = xx - yy + xPos;
+      yy = y * y;
+      xx = x * x;
+      mtemp += 1;
+    } while ((mtemp < crunch) & (xx + yy < thrs));
+
+    m.select<1, 1>(lane) = mtemp;
+  }
+
+  simd<int, 16> color = (((m * 15) & 0xff)) + (((m * 7) & 0xff) * 256) +
+                        (((m * 3) & 0xff) * 65536);
+
+  // because the output is a y-tile 2D surface
+  // we can only write 32-byte wide
+  media_block_store<unsigned char, 2, 32>(out_image, ix * sizeof(int), iy,
+                                          color.bit_cast_view<unsigned char>());
+}
+
+class Test;
+
+int main(int argc, char *argv[]) {
+  if (argc != 3 && argc != 8) {
+    std::cerr << "Usage: mandelbrot.exe output_file ref_file [crunch xoff yoff "
+                 "scale threshold]"
+              << std::endl;
+    exit(1);
+  }
+
+  queue q = esimd_test::createQueue();
+
+  // Gets the width and height of the input image.
+  const unsigned img_size = WIDTH * HEIGHT * 4;
+  // Sets output to blank image.
+  unsigned char *buf = new unsigned char[img_size];
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    sycl::image<2> imgOutput((unsigned int *)buf, image_channel_order::rgba,
+                             image_channel_type::unsigned_int8,
+                             range<2>{WIDTH, HEIGHT});
+
+    // We need that many workitems
+    uint range_width = WIDTH / 8;
+    uint range_height = HEIGHT / 2;
+    sycl::range<2> GlobalRange{range_width, range_height};
+
+    // Number of workitems in a workgroup
+    sycl::range<2> LocalRange{1, 1};
+
+    auto dev = q.get_device();
+    auto ctxt = q.get_context();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    int crunch{CRUNCH};
+    float xoff{XOFF}, yoff{YOFF}, scale{SCALE}, thrs{4.0f};
+    if (argc == 8) {
+      crunch = atoi(argv[3]);
+      xoff = (float)atof(argv[4]);
+      yoff = (float)atof(argv[5]);
+      scale = (float)atof(argv[6]);
+      thrs = (float)atof(argv[7]);
+      std::cout << "new crunch = " << crunch << ", xoff = " << xoff
+                << ", yoff = " << yoff << ", scale = " << scale
+                << ", thrs = " << thrs << "\n";
+    }
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      auto e = q.submit([&](sycl::handler &cgh) {
+        auto accOutput =
+            imgOutput.get_access<uint4, sycl::access::mode::write>(cgh);
+
+        cgh.set_specialization_constant<CrunchConst>(crunch);
+        cgh.set_specialization_constant<XoffConst>(xoff);
+        cgh.set_specialization_constant<YoffConst>(yoff);
+        cgh.set_specialization_constant<ScaleConst>(scale);
+        cgh.set_specialization_constant<ThrsConst>(thrs);
+        cgh.parallel_for<Test>(
+            GlobalRange * LocalRange,
+            [=](item<2> it, kernel_handler h) SYCL_ESIMD_KERNEL {
+              uint h_pos = it.get_id(0);
+              uint v_pos = it.get_id(1);
+              mandelbrot(accOutput, h_pos, v_pos,
+                         h.get_specialization_constant<CrunchConst>(),
+                         h.get_specialization_constant<XoffConst>(),
+                         h.get_specialization_constant<YoffConst>(),
+                         h.get_specialization_constant<ScaleConst>(),
+                         h.get_specialization_constant<ThrsConst>());
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] buf;
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  char *out_file = argv[1];
+  FILE *dumpfile = fopen(out_file, "wb");
+  if (!dumpfile) {
+    std::cerr << "Cannot open " << out_file << std::endl;
+    return -2;
+  }
+  fprintf(dumpfile, "P6\x0d\x0a");
+  fprintf(dumpfile, "%u %u\x0d\x0a", WIDTH, (HEIGHT - 2));
+  fprintf(dumpfile, "%u\x0d\x0a", 255);
+  fclose(dumpfile);
+  dumpfile = fopen(out_file, "ab");
+  for (int32_t i = 0; i < WIDTH * (HEIGHT - 2); ++i) {
+    fwrite(&buf[i * 4], sizeof(char), 1, dumpfile);
+    fwrite(&buf[i * 4 + 1], sizeof(char), 1, dumpfile);
+    fwrite(&buf[i * 4 + 2], sizeof(char), 1, dumpfile);
+  }
+  fclose(dumpfile);
+
+  bool passed = true;
+  if (!esimd_test::cmp_binary_files<unsigned char>(out_file, argv[2], 0)) {
+    std::cerr << out_file << " does not match the reference file " << argv[2]
+              << std::endl;
+    passed = false;
+  }
+
+  delete[] buf;
+
+  if (passed) {
+    std::cerr << "PASSED\n";
+    return 0;
+  } else {
+    std::cerr << "FAILED\n";
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/ESIMD/matrix_transpose.cpp b/sycl/test-e2e/ESIMD/matrix_transpose.cpp
new file mode 100644
index 0000000000000..eb36b6fee59e9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/matrix_transpose.cpp
@@ -0,0 +1,391 @@
+//==---------------- matrix_transpose.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// FIXME: Investigate Windows-specific failures
+// REQUIRES: TEMPORARY_DISABLED
+// UNSUPPORTED: cuda || hip
+// TODO: esimd_emulator fails due to unimplemented __esimd_oword_ld_unaligned
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+using namespace sycl::ext::intel::esimd;
+
+void initMatrix(int *M, unsigned N) {
+  assert(N >= 8 && (((N - 1) & N) == 0) &&
+         "only power of 2 (>= 16) is supported");
+  for (unsigned i = 0; i < N * N; ++i)
+    M[i] = i;
+}
+
+void printMatrix(const char *msg, int *M, unsigned N) {
+  cerr << msg << "\n";
+  if (N > 64) {
+    cerr << "<<<maitrix of size " << N << " x " << N << ">>>\n";
+    return;
+  }
+
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      cerr.width(4);
+      cerr << M[i * N + j] << "  ";
+    }
+    cerr << "\n";
+  }
+}
+
+bool checkResult(const int *M, unsigned N) {
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      unsigned t = M[j * N + i];
+      if (t != i * N + j) {
+        cerr << "Error at M(" << i << ", " << j << ") = " << t << "\n";
+        return false;
+      }
+    }
+  }
+  return true;
+}
+
+// The basic idea of vecotrizing transposition can be illustrated by
+// transposing a 2 x 2 matrix as follows:
+//
+// A B
+// C D
+// ==>
+// merge([A, A, B, B], [C, C, D, D], 0b1010) = [A, C, B, D]
+// ==>
+// A C
+// B D
+//
+template <typename T>
+ESIMD_INLINE simd<T, 64> transpose_matrix(simd<T, 64> v1) {
+  simd<T, 64> v2;
+  // mask to control how to merge two vectors.
+  simd_mask<16> mask = 0;
+  mask.select<8, 2>(0) = 1;
+  auto t1 = v1.template bit_cast_view<T, 4, 16>();
+  auto t2 = v2.template bit_cast_view<T, 4, 16>();
+
+  // j = 1
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 2
+  t1.row(0).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t1.row(1).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t1.row(2).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t1.row(3).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 4
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+  return v2;
+}
+
+// read a N-by-N sub-matrix
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE simd<T, N * N> read(AccessorTy buf, int MZ, int col, int row) {
+  simd<T, N * N> res;
+  uint32_t offset = (row * MZ + col) * sizeof(T);
+#pragma unroll
+  for (int i = 0; i < N; ++i) {
+    simd<T, N> data;
+    data.copy_from(buf, offset);
+    res.template select<N, 1>(i * N) = data;
+    offset += MZ * sizeof(T);
+  }
+  return res;
+}
+
+// write a N-by-N sub-matrix
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE void write(AccessorTy buf, int MZ, int col, int row,
+                        simd<T, N * N> val) {
+  uint32_t offset = (row * MZ + col) * sizeof(T);
+#pragma unroll
+  for (int i = 0; i < N; ++i) {
+    simd<T, N> vals = val.template select<N, 1>(i * N);
+    vals.copy_to(buf, offset);
+    offset += MZ * sizeof(T);
+  }
+}
+
+// Square matrix transposition on block of size 8x8
+// input and output are in the same buffer
+template <typename AccessorTy>
+ESIMD_INLINE void transpose8(AccessorTy buf, int MZ, int block_col,
+                             int block_row) {
+  static const int N = 8;
+
+  if (block_row == block_col) {
+    auto m1 = read<int, N, AccessorTy>(buf, MZ, N * block_col, N * block_row);
+
+    // cerr << m1 << std::endl;
+
+    auto t1 = transpose_matrix(m1);
+
+    // cerr << t1 << std::endl;
+
+    write<int, N, AccessorTy>(buf, MZ, N * block_row, N * block_col, t1);
+  } else if (block_row < block_col) {
+    // Read two blocks to be swapped.
+    auto m1 = read<int, N, AccessorTy>(buf, MZ, N * block_col, N * block_row);
+    auto m2 = read<int, N, AccessorTy>(buf, MZ, N * block_row, N * block_col);
+
+    // Tranpose them.
+    auto t1 = transpose_matrix(m1);
+    auto t2 = transpose_matrix(m2);
+
+    // Write them back to the transposed location.
+    write<int, N, AccessorTy>(buf, MZ, N * block_row, N * block_col, t1);
+    write<int, N, AccessorTy>(buf, MZ, N * block_col, N * block_row, t2);
+  }
+}
+
+// Square matrix transposition on block of size 16x16.
+// In this version, a thread handle a block of size 16x16 which allows
+// to better latency hidding and subsentantially improve overall performance.
+//
+template <typename AccessorTy>
+ESIMD_INLINE void transpose16(AccessorTy buf, int MZ, int block_col,
+                              int block_row) {
+  static const int N = 16;
+
+  if (block_row == block_col) {
+    // Read a tile of 4 8x8 sub-blocks:
+    //
+    //  [ m00 m01 ]
+    //  [ m10 m11 ]
+    //
+    // matrix<int, 8, 8> m00, m01, m10, m11, t00, t01, t10, t11;
+    auto m00 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0),
+                                        N * block_row + 0);
+    auto m01 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8),
+                                        N * block_row + 0);
+    auto m10 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0),
+                                        N * block_row + 8);
+    auto m11 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8),
+                                        N * block_row + 8);
+
+    // Tranpose sub-blocks.
+    auto t00 = transpose_matrix(m00);
+    auto t01 = transpose_matrix(m01);
+    auto t10 = transpose_matrix(m10);
+    auto t11 = transpose_matrix(m11);
+
+    // write out as
+    //
+    // [t00 t10]
+    // [t01 t11]
+    //
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0), N * block_row + 0,
+                              t00);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8), N * block_row + 0,
+                              t10);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0), N * block_row + 8,
+                              t01);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8), N * block_row + 8,
+                              t11);
+  } else if (block_row < block_col) {
+    // Read two tiles of 4 8x8 sub-blocks to be swapped.
+    //
+    // matrix<int, 8, 8> a00, a01, a10, a11, t00, t01, t10, t11;
+    auto a00 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0),
+                                        N * block_row + 0);
+    auto a01 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8),
+                                        N * block_row + 0);
+    auto a10 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0),
+                                        N * block_row + 8);
+    auto a11 = read<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8),
+                                        N * block_row + 8);
+
+    // matrix<int, 8, 8> b00, b01, b10, b11, r00, r01, r10, r11;
+    auto b00 = read<int, 8, AccessorTy>(buf, MZ, (N * block_row + 0),
+                                        N * block_col + 0);
+    auto b01 = read<int, 8, AccessorTy>(buf, MZ, (N * block_row + 8),
+                                        N * block_col + 0);
+    auto b10 = read<int, 8, AccessorTy>(buf, MZ, (N * block_row + 0),
+                                        N * block_col + 8);
+    auto b11 = read<int, 8, AccessorTy>(buf, MZ, (N * block_row + 8),
+                                        N * block_col + 8);
+
+    // Tranpose the first tile.
+    auto t00 = transpose_matrix(a00);
+    auto t01 = transpose_matrix(a01);
+    auto t10 = transpose_matrix(a10);
+    auto t11 = transpose_matrix(a11);
+
+    // Tranpose the second tile.
+    auto r00 = transpose_matrix(b00);
+    auto r01 = transpose_matrix(b01);
+    auto r10 = transpose_matrix(b10);
+    auto r11 = transpose_matrix(b11);
+
+    // Write the first tile to the transposed location.
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_row + 0), N * block_col + 0,
+                              t00);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_row + 8), N * block_col + 0,
+                              t10);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_row + 0), N * block_col + 8,
+                              t01);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_row + 8), N * block_col + 8,
+                              t11);
+
+    // Write the second tile to the transposed location.
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0), N * block_row + 0,
+                              r00);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8), N * block_row + 0,
+                              r10);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 0), N * block_row + 8,
+                              r01);
+    write<int, 8, AccessorTy>(buf, MZ, (N * block_col + 8), N * block_row + 8,
+                              r11);
+  }
+}
+
+bool runTest(unsigned MZ, unsigned block_size, unsigned num_iters,
+             double &kernel_times, double &total_times) {
+  queue q = esimd_test::createQueue();
+  int *M = new int[MZ * MZ];
+
+  initMatrix(M, MZ);
+  cerr << "\nTranspose square matrix of size " << MZ << "\n";
+  // printMatrix("Initial matrix:", M, MZ);
+
+  // Each C-for-Metal thread works on one or two blocks of size 8 x 8.
+  int thread_width = MZ / block_size;
+  int thread_height = MZ / block_size;
+
+  // create ranges
+  // We need that many workitems
+  auto GlobalRange = range<2>(thread_width, thread_height);
+
+  // Number of workitems in a workgroup
+  range<2> LocalRange{1, 1};
+  nd_range<2> Range(GlobalRange, LocalRange);
+
+  // Start timer.
+  esimd_test::Timer timer;
+  double start;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  // Launches the task on the GPU.
+
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int i = 0; i <= num_iters; ++i) {
+      // make sure that buffer object has short live-range
+      // than M
+      buffer<int, 1> buf(M, range<1>(MZ * MZ));
+
+      double etime = 0;
+      if (block_size == 16 && MZ >= 16) {
+        auto e = q.submit([&](handler &cgh) {
+          auto acc = buf.get_access<access::mode::read_write>(cgh);
+          cgh.parallel_for<class K16>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose16(acc, MZ, ndi.get_global_id(0),
+                            ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        if (profiling)
+          etime = esimd_test::report_time("kernel time", e, e);
+      } else if (block_size == 8) {
+        auto e = q.submit([&](handler &cgh) {
+          auto acc = buf.get_access<access::mode::read_write>(cgh);
+          cgh.parallel_for<class K08>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose8(acc, MZ, ndi.get_global_id(0), ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        if (profiling)
+          etime = esimd_test::report_time("kernel time", e, e);
+      }
+
+      if (i > 0)
+        kernel_times += etime;
+      else
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] M;
+    return false; // not success
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  total_times += (end - start) * 1000.0f;
+
+  // printMatrix("\nTransposed matrix:", M, MZ);
+  bool success = checkResult(M, MZ);
+  delete[] M;
+  return success;
+}
+
+int main(int argc, char *argv[]) {
+  unsigned MZ = 1U << 5;
+  if (argc >= 2) {
+    unsigned exponent = atoi(argv[1]);
+    MZ = (MZ > (1U << exponent)) ? MZ : (1U << exponent);
+    MZ = (MZ < (1U << 12)) ? MZ : (1U << 12);
+  }
+
+  unsigned num_iters = 10;
+  double kernel_times = 0;
+  double total_times = 0;
+
+  bool success = true;
+  success &= runTest(MZ, 16, num_iters, kernel_times, total_times);
+  if (argc == 1) {
+    success &= runTest(1U << 7, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 8, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 9, 8, num_iters, kernel_times, total_times);
+    // success &= runTest(1U << 13, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 7, 16, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 8, 16, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 9, 16, num_iters, kernel_times, total_times);
+    // success &= runTest(1U << 13, 16, num_iters, kernel_times, total_times);
+  }
+
+  const bool profiling =
+      device(esimd_test::ESIMDSelector).has(aspect::queue_profiling);
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, total_times);
+
+  cerr << (success ? "PASSED\n" : "FAILED\n");
+  return !success;
+}
diff --git a/sycl/test-e2e/ESIMD/matrix_transpose2.cpp b/sycl/test-e2e/ESIMD/matrix_transpose2.cpp
new file mode 100644
index 0000000000000..48c17ded78be0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/matrix_transpose2.cpp
@@ -0,0 +1,401 @@
+//==--------------- matrix_transpose2.cpp  - DPC++ ESIMD on-device test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// FIXME: Investigate Windows-specific failures
+// REQUIRES: TEMPORARY_DISABLED
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// TODO: esimd_emulator fails due to outdated __esimd_media_ld
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks matrix transpose implementation with media block read/write
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+using namespace sycl::ext::intel::esimd;
+
+const unsigned int ESIMD_EMULATOR_SIZE_LIMIT = 1U << 10;
+
+void initMatrix(int *M, unsigned N) {
+  assert(N >= 8 && (((N - 1) & N) == 0) &&
+         "only power of 2 (>= 16) is supported");
+  for (unsigned i = 0; i < N * N; ++i)
+    M[i] = i;
+}
+
+void printMatrix(const char *msg, int *M, unsigned N) {
+  cerr << msg << "\n";
+  if (N > 64) {
+    cerr << "<<<maitrix of size " << N << " x " << N << ">>>\n";
+    return;
+  }
+
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      cerr.width(4);
+      cerr << M[i * N + j] << "  ";
+    }
+    cerr << "\n";
+  }
+}
+
+bool checkResult(const int *M, unsigned N) {
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      unsigned t = M[j * N + i];
+      if (t != i * N + j) {
+        cerr << "Error at M(" << i << ", " << j << ") = " << t << "\n";
+        return false;
+      }
+    }
+  }
+  return true;
+}
+
+// The basic idea of vecotrizing transposition can be illustrated by
+// transposing a 2 x 2 matrix as follows:
+//
+// A B
+// C D
+// ==>
+// merge([A, A, B, B], [C, C, D, D], 0b1010) = [A, C, B, D]
+// ==>
+// A C
+// B D
+//
+template <typename T>
+ESIMD_INLINE simd<T, 64> transpose_matrix(simd<T, 64> v1) {
+  simd<T, 64> v2;
+  // mask to control how to merge two vectors.
+  simd_mask<16> mask = 0;
+  mask.select<8, 2>(0) = 1;
+  auto t1 = v1.template bit_cast_view<T, 4, 16>();
+  auto t2 = v2.template bit_cast_view<T, 4, 16>();
+
+  // j = 1
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 2
+  t1.row(0).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t1.row(1).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t1.row(2).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t1.row(3).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 4
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+  return v2;
+}
+
+// read a N-by-N sub-matrix
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE simd<T, N * N> read(AccessorTy img, int MZ, int col, int row) {
+  static_assert(N == 8, "only 8x8 sub-matrix is supported");
+
+  simd<T, N * N> res;
+  auto in = res.template bit_cast_view<unsigned char, 8, 32>();
+  in = media_block_load<unsigned char, 8, 32>(img, col * sizeof(T), row);
+
+  return res;
+}
+
+// write a N-by-N sub-matrix
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE void write(AccessorTy img, int MZ, int col, int row,
+                        simd<T, N * N> val) {
+  static_assert(N == 8, "only 8x8 sub-matrix is supported");
+
+  auto out = val.template bit_cast_view<uchar, 8, 32>();
+  media_block_store<unsigned char, 8, 32>(img, col * sizeof(T), row, out);
+}
+
+// Square matrix transposition on block of size 8x8
+// input and output are in the same image
+template <typename AccessorInTy, typename AccessorOutTy>
+ESIMD_INLINE void transpose8(AccessorInTy in, AccessorOutTy out, int MZ,
+                             int block_col, int block_row) {
+  static const int N = 8;
+
+  if (block_row == block_col) {
+    auto m1 = read<int, N, AccessorInTy>(in, MZ, N * block_col, N * block_row);
+
+    // cerr << m1 << std::endl;
+
+    auto t1 = transpose_matrix(m1);
+
+    // cerr << t1 << std::endl;
+
+    write<int, N, AccessorOutTy>(out, MZ, N * block_row, N * block_col, t1);
+  } else if (block_row < block_col) {
+    // Read two blocks to be swapped.
+    auto m1 = read<int, N, AccessorInTy>(in, MZ, N * block_col, N * block_row);
+    auto m2 = read<int, N, AccessorInTy>(in, MZ, N * block_row, N * block_col);
+
+    // Tranpose them.
+    auto t1 = transpose_matrix(m1);
+    auto t2 = transpose_matrix(m2);
+
+    // Write them back to the transposed location.
+    write<int, N, AccessorOutTy>(out, MZ, N * block_row, N * block_col, t1);
+    write<int, N, AccessorOutTy>(out, MZ, N * block_col, N * block_row, t2);
+  }
+}
+
+// Square matrix transposition on block of size 16x16.
+// In this version, a thread handle a block of size 16x16 which allows
+// to better latency hidding and subsentantially improve overall performance.
+//
+template <typename AccessorInTy, typename AccessorOutTy>
+ESIMD_INLINE void transpose16(AccessorInTy in, AccessorOutTy out, int MZ,
+                              int block_col, int block_row) {
+  static const int N = 16;
+
+  if (block_row == block_col) {
+    // Read a tile of 4 8x8 sub-blocks:
+    //
+    //  [ m00 m01 ]
+    //  [ m10 m11 ]
+    //
+    // matrix<int, 8, 8> m00, m01, m10, m11, t00, t01, t10, t11;
+    auto m00 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 0),
+                                          N * block_row + 0);
+    auto m01 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 8),
+                                          N * block_row + 0);
+    auto m10 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 0),
+                                          N * block_row + 8);
+    auto m11 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 8),
+                                          N * block_row + 8);
+
+    // Tranpose sub-blocks.
+    auto t00 = transpose_matrix(m00);
+    auto t01 = transpose_matrix(m01);
+    auto t10 = transpose_matrix(m10);
+    auto t11 = transpose_matrix(m11);
+
+    // write out as
+    //
+    // [t00 t10]
+    // [t01 t11]
+    //
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 0),
+                                 N * block_row + 0, t00);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 8),
+                                 N * block_row + 0, t10);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 0),
+                                 N * block_row + 8, t01);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 8),
+                                 N * block_row + 8, t11);
+  } else if (block_row < block_col) {
+    // Read two tiles of 4 8x8 sub-blocks to be swapped.
+    //
+    // matrix<int, 8, 8> a00, a01, a10, a11, t00, t01, t10, t11;
+    auto a00 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 0),
+                                          N * block_row + 0);
+    auto a01 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 8),
+                                          N * block_row + 0);
+    auto a10 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 0),
+                                          N * block_row + 8);
+    auto a11 = read<int, 8, AccessorInTy>(in, MZ, (N * block_col + 8),
+                                          N * block_row + 8);
+
+    // matrix<int, 8, 8> b00, b01, b10, b11, r00, r01, r10, r11;
+    auto b00 = read<int, 8, AccessorInTy>(in, MZ, (N * block_row + 0),
+                                          N * block_col + 0);
+    auto b01 = read<int, 8, AccessorInTy>(in, MZ, (N * block_row + 8),
+                                          N * block_col + 0);
+    auto b10 = read<int, 8, AccessorInTy>(in, MZ, (N * block_row + 0),
+                                          N * block_col + 8);
+    auto b11 = read<int, 8, AccessorInTy>(in, MZ, (N * block_row + 8),
+                                          N * block_col + 8);
+
+    // Tranpose the first tile.
+    auto t00 = transpose_matrix(a00);
+    auto t01 = transpose_matrix(a01);
+    auto t10 = transpose_matrix(a10);
+    auto t11 = transpose_matrix(a11);
+
+    // Tranpose the second tile.
+    auto r00 = transpose_matrix(b00);
+    auto r01 = transpose_matrix(b01);
+    auto r10 = transpose_matrix(b10);
+    auto r11 = transpose_matrix(b11);
+
+    // Write the first tile to the transposed location.
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_row + 0),
+                                 N * block_col + 0, t00);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_row + 8),
+                                 N * block_col + 0, t10);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_row + 0),
+                                 N * block_col + 8, t01);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_row + 8),
+                                 N * block_col + 8, t11);
+
+    // Write the second tile to the transposed location.
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 0),
+                                 N * block_row + 0, r00);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 8),
+                                 N * block_row + 0, r10);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 0),
+                                 N * block_row + 8, r01);
+    write<int, 8, AccessorOutTy>(out, MZ, (N * block_col + 8),
+                                 N * block_row + 8, r11);
+  }
+}
+
+bool runTest(unsigned MZ, unsigned block_size, unsigned num_iters,
+             double &kernel_times, double &total_times) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler(),
+          property::queue::enable_profiling{});
+  int *M = new int[MZ * MZ];
+
+  initMatrix(M, MZ);
+  cerr << "\nTranspose square matrix of size " << MZ << "\n";
+  // printMatrix("Initial matrix:", M, MZ);
+
+  if ((q.get_backend() == sycl::backend::ext_intel_esimd_emulator) &&
+      (MZ > ESIMD_EMULATOR_SIZE_LIMIT)) {
+    cerr << "Matrix Size larger than " << ESIMD_EMULATOR_SIZE_LIMIT
+         << " is skipped"
+         << "\n";
+    cerr << "for esimd_emulator backend due to timeout"
+         << "\n";
+    return true;
+  }
+
+  // Each C-for-Metal thread works on one or two blocks of size 8 x 8.
+  int thread_width = MZ / block_size;
+  int thread_height = MZ / block_size;
+
+  // create ranges
+  // We need that many workitems
+  auto GlobalRange = range<2>(thread_width, thread_height);
+
+  // Number of workitems in a workgroup
+  range<2> LocalRange{1, 1};
+  nd_range<2> Range(GlobalRange, LocalRange);
+
+  // Start timer.
+  esimd_test::Timer timer;
+  double start;
+
+  // Launches the task on the GPU.
+
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int i = 0; i <= num_iters; ++i) {
+      // make sure that image object has short live-range
+      // than M
+      sycl::image<2> imgM((unsigned int *)M, image_channel_order::rgba,
+                          image_channel_type::unsigned_int32,
+                          range<2>{MZ / 4, MZ});
+
+      double etime = 0;
+      if (block_size == 16 && MZ >= 16) {
+        auto e = q.submit([&](handler &cgh) {
+          auto accInput = imgM.get_access<uint4, access::mode::read>(cgh);
+          auto accOutput = imgM.get_access<uint4, access::mode::write>(cgh);
+          cgh.parallel_for<class K16>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose16(accInput, accOutput, MZ, ndi.get_global_id(0),
+                            ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        etime = esimd_test::report_time("kernel time", e, e);
+      } else if (block_size == 8) {
+        auto e = q.submit([&](handler &cgh) {
+          auto accInput = imgM.get_access<uint4, access::mode::read>(cgh);
+          auto accOutput = imgM.get_access<uint4, access::mode::write>(cgh);
+          cgh.parallel_for<class K08>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose8(accInput, accOutput, MZ, ndi.get_global_id(0),
+                           ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        etime = esimd_test::report_time("kernel time", e, e);
+      }
+
+      if (i > 0)
+        kernel_times += etime;
+      else
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] M;
+    return false; // not success
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  total_times += (end - start) * 1000.0f;
+
+  // printMatrix("\nTransposed matrix:", M, MZ);
+  bool success = checkResult(M, MZ);
+  delete[] M;
+  return success;
+}
+
+int main(int argc, char *argv[]) {
+  unsigned MZ = 1U << 5;
+  if (argc >= 2) {
+    unsigned exponent = atoi(argv[1]);
+    MZ = (MZ > (1U << exponent)) ? MZ : (1U << exponent);
+    MZ = (MZ < (1U << 12)) ? MZ : (1U << 12);
+  }
+
+  unsigned num_iters = 10;
+  double kernel_times = 0;
+  double total_times = 0;
+  const bool profiling =
+      device(esimd_test::ESIMDSelector).has(aspect::queue_profiling);
+
+  bool success = true;
+  success &= runTest(MZ, 16, num_iters, kernel_times, total_times);
+  if (argc == 1) {
+    success &= runTest(1U << 10, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 11, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 12, 8, num_iters, kernel_times, total_times);
+    // success &= runTest(1U << 13, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 10, 16, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 11, 16, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 12, 16, num_iters, kernel_times, total_times);
+    // success &= runTest(1U << 13, 16, num_iters, kernel_times, total_times);
+  }
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, total_times);
+
+  cerr << (success ? "PASSED\n" : "FAILED\n");
+  return !success;
+}
diff --git a/sycl/test-e2e/ESIMD/matrix_transpose_glb.cpp b/sycl/test-e2e/ESIMD/matrix_transpose_glb.cpp
new file mode 100644
index 0000000000000..78665c96a1d87
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/matrix_transpose_glb.cpp
@@ -0,0 +1,360 @@
+//==--------------- matrix_transpose_glb.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+using namespace sycl::ext::intel::esimd;
+
+const unsigned int ESIMD_EMULATOR_SIZE_LIMIT = 1U << 10;
+
+void initMatrix(int *M, unsigned N) {
+  assert(N >= 8 && (((N - 1) & N) == 0) &&
+         "only power of 2 (>= 16) is supported");
+  for (unsigned i = 0; i < N * N; ++i)
+    M[i] = i;
+}
+
+void printMatrix(const char *msg, int *M, unsigned N) {
+  cerr << msg << "\n";
+  if (N > 64) {
+    cerr << "<<<maitrix of size " << N << " x " << N << ">>>\n";
+    return;
+  }
+
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      cerr.width(4);
+      cerr << M[i * N + j] << "  ";
+    }
+    cerr << "\n";
+  }
+}
+
+bool checkResult(const int *M, unsigned N) {
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      unsigned t = M[j * N + i];
+      if (t != i * N + j) {
+        cerr << "Error at M(" << i << ", " << j << ") = " << t << "\n";
+        return false;
+      }
+    }
+  }
+  return true;
+}
+
+// This represents the register file that kernels operate on.
+// The max size we need is for 3 16x16 matrices
+ESIMD_PRIVATE ESIMD_REGISTER(192) simd<int, 3 * 32 * 8> GRF;
+
+// The basic idea of vecotrizing transposition can be illustrated by
+// transposing a 2 x 2 matrix as follows:
+//
+// A B
+// C D
+// ==>
+// merge([A, A, B, B], [C, C, D, D], 0b1010) = [A, C, B, D]
+// ==>
+// A C
+// B D
+//
+// This function does 8x8 transposition
+ESIMD_NOINLINE void transpose_matrix(int InR, int OuR) {
+  // mask to control how to merge two vectors.
+  simd_mask<16> mask = 0;
+  mask.select<8, 2>(0) = 1;
+  auto t1 = GRF.template bit_cast_view<int, 48, 16>().select<4, 1, 16, 1>(
+      InR >> 1, 0);
+  auto t2 = GRF.template bit_cast_view<int, 48, 16>().select<4, 1, 16, 1>(
+      OuR >> 1, 0);
+
+  // j = 1
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 2
+  t1.row(0).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t1.row(1).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t1.row(2).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t1.row(3).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 4
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+}
+
+// read a N-by-N sub-matrix
+template <int N>
+ESIMD_NOINLINE void read(int *buf, int MZ, int col, int row, int GrfIdx) {
+  auto res = GRF.select<N * N, 1>(GrfIdx * 8);
+  buf += row * MZ + col;
+#pragma unroll
+  for (int i = 0; i < N; ++i) {
+    simd<int, N> data;
+    data.copy_from(buf);
+    res.template select<N, 1>(i * N) = data;
+    buf += MZ;
+  }
+}
+
+// write a N-by-N sub-matrix
+template <int N>
+ESIMD_NOINLINE void write(int *buf, int MZ, int col, int row, int GrfIdx) {
+  auto val = GRF.select<N * N, 1>(GrfIdx * 8);
+  buf += row * MZ + col;
+#pragma unroll
+  for (int i = 0; i < N; ++i) {
+    simd<int, N> val2 = val.template select<N, 1>(i * N);
+    val2.copy_to(buf);
+    buf += MZ;
+  }
+}
+
+// Square matrix transposition on block of size 8x8
+// input and output are in the same buffer
+ESIMD_INLINE void transpose8(int *buf, int MZ, int block_col, int block_row) {
+  static const int N = 8;
+
+  if (block_row == block_col) {
+    read<N>(buf, MZ, N * block_col, N * block_row, 0); // to grf line#0
+
+    transpose_matrix(0, 8); // to grf line#8
+
+    write<N>(buf, MZ, N * block_row, N * block_col, 8); // from grf line#8
+  } else if (block_row < block_col) {
+    // Read two blocks to be swapped. line #0 and line #8
+    read<N>(buf, MZ, N * block_col, N * block_row, 0);
+    read<N>(buf, MZ, N * block_row, N * block_col, 8);
+
+    // Tranpose them.
+    transpose_matrix(0, 16);
+    transpose_matrix(8, 24);
+
+    // Write them back to the transposed location.
+    write<N>(buf, MZ, N * block_row, N * block_col, 16);
+    write<N>(buf, MZ, N * block_col, N * block_row, 24);
+  }
+}
+
+// Square matrix transposition on block of size 16x16.
+// In this version, a thread handle a block of size 16x16 which allows
+// to better latency hidding and subsentantially improve overall performance.
+//
+ESIMD_INLINE void transpose16(int *buf, int MZ, int block_col, int block_row) {
+  static const int N = 16;
+
+  if (block_row == block_col) {
+    // Read a tile of 4 8x8 sub-blocks to
+    //
+    //  [ line00-07 line08-15 ]
+    //  [ line16-23 line24-32 ]
+    //
+    read<8>(buf, MZ, (N * block_col + 0), N * block_row + 0, 0);
+    read<8>(buf, MZ, (N * block_col + 8), N * block_row + 0, 8);
+    read<8>(buf, MZ, (N * block_col + 0), N * block_row + 8, 16);
+    read<8>(buf, MZ, (N * block_col + 8), N * block_row + 8, 24);
+
+    // Tranpose sub-blocks.
+    transpose_matrix(0, 32);  // to line#32
+    transpose_matrix(8, 40);  // to line#40
+    transpose_matrix(16, 48); // to line#48
+    transpose_matrix(24, 56); // to line#56
+
+    // write out as
+    //
+    // [line32-39 line48-55]
+    // [line40-47 line56-63]
+    //
+    write<8>(buf, MZ, (N * block_col + 0), N * block_row + 0, 32);
+    write<8>(buf, MZ, (N * block_col + 8), N * block_row + 0, 48);
+    write<8>(buf, MZ, (N * block_col + 0), N * block_row + 8, 40);
+    write<8>(buf, MZ, (N * block_col + 8), N * block_row + 8, 56);
+  } else if (block_row < block_col) {
+    // Read two tiles of 4 8x8 sub-blocks to be swapped.
+    read<8>(buf, MZ, (N * block_col + 0), N * block_row + 0, 0);
+    read<8>(buf, MZ, (N * block_col + 8), N * block_row + 0, 8);
+    read<8>(buf, MZ, (N * block_col + 0), N * block_row + 8, 16);
+    read<8>(buf, MZ, (N * block_col + 8), N * block_row + 8, 24);
+
+    read<8>(buf, MZ, (N * block_row + 0), N * block_col + 0, 32);
+    read<8>(buf, MZ, (N * block_row + 8), N * block_col + 0, 40);
+    read<8>(buf, MZ, (N * block_row + 0), N * block_col + 8, 48);
+    read<8>(buf, MZ, (N * block_row + 8), N * block_col + 8, 56);
+
+    // Tranpose the first tile.
+    transpose_matrix(0, 64);  //(a00);
+    transpose_matrix(8, 72);  //(a01);
+    transpose_matrix(16, 80); //(a10);
+    transpose_matrix(24, 88); //(a11);
+
+    // Tranpose the second tile.
+    transpose_matrix(32, 0);  //(b00);
+    transpose_matrix(40, 8);  //(b01);
+    transpose_matrix(48, 16); //(b10);
+    transpose_matrix(56, 24); //(b11);
+
+    // Write the first tile to the transposed location.
+    write<8>(buf, MZ, (N * block_row + 0), N * block_col + 0, 64);
+    write<8>(buf, MZ, (N * block_row + 8), N * block_col + 0, 80);
+    write<8>(buf, MZ, (N * block_row + 0), N * block_col + 8, 72);
+    write<8>(buf, MZ, (N * block_row + 8), N * block_col + 8, 88);
+
+    // Write the second tile to the transposed location.
+    write<8>(buf, MZ, (N * block_col + 0), N * block_row + 0, 0);
+    write<8>(buf, MZ, (N * block_col + 8), N * block_row + 0, 16);
+    write<8>(buf, MZ, (N * block_col + 0), N * block_row + 8, 8);
+    write<8>(buf, MZ, (N * block_col + 8), N * block_row + 8, 24);
+  }
+}
+
+bool runTest(unsigned MZ, unsigned block_size, unsigned num_iters,
+             double &kernel_times, double &total_times) {
+  queue q = esimd_test::createQueue();
+  int *M = malloc_shared<int>(MZ * MZ, q);
+
+  initMatrix(M, MZ);
+  cerr << "\nTranspose square matrix of size " << MZ << "\n";
+  // printMatrix("Initial matrix:", M, MZ);
+
+  if ((q.get_backend() == sycl::backend::ext_intel_esimd_emulator) &&
+      (MZ > ESIMD_EMULATOR_SIZE_LIMIT)) {
+    cerr << "Matrix Size larger than " << ESIMD_EMULATOR_SIZE_LIMIT
+         << " is skipped"
+         << "\n";
+    cerr << "for esimd_emulator backend due to timeout"
+         << "\n";
+    return true;
+  }
+
+  // Each C-for-Metal thread works on one or two blocks of size 8 x 8.
+  int thread_width = MZ / block_size;
+  int thread_height = MZ / block_size;
+
+  // create ranges
+  // We need that many workitems
+  auto GlobalRange = range<2>(thread_width, thread_height);
+
+  // Number of workitems in a workgroup
+  range<2> LocalRange{1, 1};
+  nd_range<2> Range(GlobalRange, LocalRange);
+
+  // Start timer.
+  esimd_test::Timer timer;
+  double start;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  // Launches the task on the GPU.
+
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int i = 0; i <= num_iters; ++i) {
+      double etime = 0;
+      if (block_size == 16 && MZ >= 16) {
+        auto e = q.submit([&](handler &cgh) {
+          cgh.parallel_for<class Transpose16>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose16(M, MZ, ndi.get_global_id(0), ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        if (profiling)
+          etime = esimd_test::report_time("kernel time", e, e);
+      } else if (block_size == 8) {
+        auto e = q.submit([&](handler &cgh) {
+          cgh.parallel_for<class Transpose08>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose8(M, MZ, ndi.get_global_id(0), ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        if (profiling)
+          etime = esimd_test::report_time("kernel time", e, e);
+      }
+
+      if (profiling && i > 0)
+        kernel_times += etime;
+      if (i == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(M, q);
+    return false; // not success
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  total_times += (end - start) * 1000.0f;
+
+  // printMatrix("\nTransposed matrix:", M, MZ);
+  bool success = checkResult(M, MZ);
+  free(M, q);
+  return success;
+}
+
+int main(int argc, char *argv[]) {
+  unsigned MZ = 1U << 5;
+  if (argc >= 2) {
+    unsigned exponent = atoi(argv[1]);
+    MZ = (MZ > (1U << exponent)) ? MZ : (1U << exponent);
+    MZ = (MZ < (1U << 12)) ? MZ : (1U << 12);
+  }
+
+  unsigned num_iters = 10;
+  double kernel_times = 0;
+  double total_times = 0;
+
+  bool success = true;
+  success &= runTest(MZ, 16, num_iters, kernel_times, total_times);
+  if (argc == 1) {
+    success &= runTest(1U << 10, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 11, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 12, 8, num_iters, kernel_times, total_times);
+    // success &= runTest(1U << 13, 8, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 10, 16, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 11, 16, num_iters, kernel_times, total_times);
+    success &= runTest(1U << 12, 16, num_iters, kernel_times, total_times);
+    // success &= runTest(1U << 13, 16, num_iters, kernel_times, total_times);
+  }
+
+  const bool profiling =
+      device(esimd_test::ESIMDSelector).has(aspect::queue_profiling);
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, total_times);
+
+  cerr << (success ? "PASSED\n" : "FAILED\n");
+  return !success;
+}
diff --git a/sycl/test-e2e/ESIMD/matrix_transpose_usm.cpp b/sycl/test-e2e/ESIMD/matrix_transpose_usm.cpp
new file mode 100644
index 0000000000000..49a2a363e25af
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/matrix_transpose_usm.cpp
@@ -0,0 +1,355 @@
+//==--------------- matrix_transpose_usm.cpp  - DPC++ ESIMD on-device test -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+using namespace sycl::ext::intel::esimd;
+
+void initMatrix(int *M, unsigned N) {
+  assert(N >= 8 && (((N - 1) & N) == 0) &&
+         "only power of 2 (>= 16) is supported");
+  for (unsigned i = 0; i < N * N; ++i)
+    M[i] = i;
+}
+
+void printMatrix(const char *msg, int *M, unsigned N) {
+  cerr << msg << "\n";
+  if (N > 64) {
+    cerr << "<<<matrix of size " << N << " x " << N << ">>>\n";
+    return;
+  }
+
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      cerr.width(4);
+      cerr << M[i * N + j] << "  ";
+    }
+    cerr << "\n";
+  }
+}
+
+bool checkResult(const int *M, unsigned N) {
+  for (unsigned i = 0; i < N; ++i) {
+    for (unsigned j = 0; j < N; ++j) {
+      unsigned t = M[j * N + i];
+      if (t != i * N + j) {
+        cerr << "Error at M(" << i << ", " << j << ") = " << t << "\n";
+        return false;
+      }
+    }
+  }
+  return true;
+}
+
+// The basic idea of vecotrizing transposition can be illustrated by
+// transposing a 2 x 2 matrix as follows:
+//
+// A B
+// C D
+// ==>
+// merge([A, A, B, B], [C, C, D, D], 0b1010) = [A, C, B, D]
+// ==>
+// A C
+// B D
+//
+template <typename T>
+ESIMD_INLINE simd<T, 64> transpose_matrix(simd<T, 64> v1) {
+  simd<T, 64> v2;
+  // mask to control how to merge two vectors.
+  simd_mask<16> mask = 0;
+  mask.select<8, 2>(0) = 1;
+  auto t1 = v1.template bit_cast_view<T, 4, 16>();
+  auto t2 = v2.template bit_cast_view<T, 4, 16>();
+
+  // j = 1
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 2
+  t1.row(0).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t1.row(1).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t1.row(2).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t1.row(3).merge(t2.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t2.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+
+  // j = 4
+  t2.row(0).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 0), mask);
+  t2.row(1).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(0, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(2, 8), mask);
+  t2.row(2).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 0),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 0), mask);
+  t2.row(3).merge(t1.template replicate_vs_w_hs<8, 1, 2, 0>(1, 8),
+                  t1.template replicate_vs_w_hs<8, 1, 2, 0>(3, 8), mask);
+  return v2;
+}
+
+// read a N-by-N sub-matrix
+template <typename T, int N>
+ESIMD_INLINE simd<T, N * N> read(T *buf, int MZ, int col, int row) {
+  simd<T, N * N> res;
+  buf += row * MZ + col;
+#pragma unroll
+  for (int i = 0; i < N; ++i) {
+    simd<T, N> data;
+    data.copy_from(buf);
+    res.template select<N, 1>(i * N) = data;
+    buf += MZ;
+  }
+  return res;
+}
+
+// write a N-by-N sub-matrix
+template <typename T, int N>
+ESIMD_INLINE void write(T *buf, int MZ, int col, int row, simd<T, N * N> val) {
+  buf += row * MZ + col;
+#pragma unroll
+  for (int i = 0; i < N; ++i) {
+    simd<T, N> vals = val.template select<N, 1>(i * N);
+    vals.copy_to(buf);
+    buf += MZ;
+  }
+}
+
+// Square matrix transposition on block of size 8x8
+// input and output are in the same buffer
+ESIMD_INLINE void transpose8(int *buf, int MZ, int block_col, int block_row) {
+  static const int N = 8;
+
+  if (block_row == block_col) {
+    auto m1 = read<int, N>(buf, MZ, N * block_col, N * block_row);
+
+    // cerr << m1 << std::endl;
+
+    auto t1 = transpose_matrix(m1);
+
+    // cerr << t1 << std::endl;
+
+    write<int, N>(buf, MZ, N * block_row, N * block_col, t1);
+  } else if (block_row < block_col) {
+    // Read two blocks to be swapped.
+    auto m1 = read<int, N>(buf, MZ, N * block_col, N * block_row);
+    auto m2 = read<int, N>(buf, MZ, N * block_row, N * block_col);
+
+    // Tranpose them.
+    auto t1 = transpose_matrix(m1);
+    auto t2 = transpose_matrix(m2);
+
+    // Write them back to the transposed location.
+    write<int, N>(buf, MZ, N * block_row, N * block_col, t1);
+    write<int, N>(buf, MZ, N * block_col, N * block_row, t2);
+  }
+}
+
+// Square matrix transposition on block of size 16x16.
+// In this version, a thread handle a block of size 16x16 which allows
+// to better latency hidding and subsentantially improve overall performance.
+//
+ESIMD_INLINE void transpose16(int *buf, int MZ, int block_col, int block_row) {
+  static const int N = 16;
+
+  if (block_row == block_col) {
+    // Read a tile of 4 8x8 sub-blocks:
+    //
+    //  [ m00 m01 ]
+    //  [ m10 m11 ]
+    //
+    // matrix<int, 8, 8> m00, m01, m10, m11, t00, t01, t10, t11;
+    auto m00 = read<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 0);
+    auto m01 = read<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 0);
+    auto m10 = read<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 8);
+    auto m11 = read<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 8);
+
+    // Tranpose sub-blocks.
+    auto t00 = transpose_matrix(m00);
+    auto t01 = transpose_matrix(m01);
+    auto t10 = transpose_matrix(m10);
+    auto t11 = transpose_matrix(m11);
+
+    // write out as
+    //
+    // [t00 t10]
+    // [t01 t11]
+    //
+    write<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 0, t00);
+    write<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 0, t10);
+    write<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 8, t01);
+    write<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 8, t11);
+  } else if (block_row < block_col) {
+    // Read two tiles of 4 8x8 sub-blocks to be swapped.
+    //
+    // matrix<int, 8, 8> a00, a01, a10, a11, t00, t01, t10, t11;
+    auto a00 = read<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 0);
+    auto a01 = read<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 0);
+    auto a10 = read<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 8);
+    auto a11 = read<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 8);
+
+    // matrix<int, 8, 8> b00, b01, b10, b11, r00, r01, r10, r11;
+    auto b00 = read<int, 8>(buf, MZ, (N * block_row + 0), N * block_col + 0);
+    auto b01 = read<int, 8>(buf, MZ, (N * block_row + 8), N * block_col + 0);
+    auto b10 = read<int, 8>(buf, MZ, (N * block_row + 0), N * block_col + 8);
+    auto b11 = read<int, 8>(buf, MZ, (N * block_row + 8), N * block_col + 8);
+
+    // Tranpose the first tile.
+    auto t00 = transpose_matrix(a00);
+    auto t01 = transpose_matrix(a01);
+    auto t10 = transpose_matrix(a10);
+    auto t11 = transpose_matrix(a11);
+
+    // Tranpose the second tile.
+    auto r00 = transpose_matrix(b00);
+    auto r01 = transpose_matrix(b01);
+    auto r10 = transpose_matrix(b10);
+    auto r11 = transpose_matrix(b11);
+
+    // Write the first tile to the transposed location.
+    write<int, 8>(buf, MZ, (N * block_row + 0), N * block_col + 0, t00);
+    write<int, 8>(buf, MZ, (N * block_row + 8), N * block_col + 0, t10);
+    write<int, 8>(buf, MZ, (N * block_row + 0), N * block_col + 8, t01);
+    write<int, 8>(buf, MZ, (N * block_row + 8), N * block_col + 8, t11);
+
+    // Write the second tile to the transposed location.
+    write<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 0, r00);
+    write<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 0, r10);
+    write<int, 8>(buf, MZ, (N * block_col + 0), N * block_row + 8, r01);
+    write<int, 8>(buf, MZ, (N * block_col + 8), N * block_row + 8, r11);
+  }
+}
+
+bool runTest(queue &q, unsigned MZ, unsigned block_size, unsigned num_iters,
+             double &kernel_times, double &total_times) {
+  int *M = malloc_shared<int>(MZ * MZ, q);
+
+  initMatrix(M, MZ);
+  cerr << "\nTranspose square matrix of size " << MZ << "\n";
+  // printMatrix("Initial matrix:", M, MZ);
+
+  // Each C-for-Metal thread works on one or two blocks of size 8 x 8.
+  int thread_width = MZ / block_size;
+  int thread_height = MZ / block_size;
+
+  // create ranges
+  // We need that many workitems
+  auto GlobalRange = sycl::range<2>(thread_width, thread_height);
+
+  // Number of workitems in a workgroup
+  sycl::range<2> LocalRange{1, 1};
+  sycl::nd_range<2> Range(GlobalRange, LocalRange);
+
+  // Start timer.
+  esimd_test::Timer timer;
+  double start;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  // Launches the task on the GPU.
+
+  try {
+    // num_iters + 1, iteration#0 is for warmup
+    for (int i = 0; i <= num_iters; ++i) {
+      double etime = 0;
+      if (block_size == 16 && MZ >= 16) {
+        auto e = q.submit([&](handler &cgh) {
+          cgh.parallel_for<class Transpose16>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose16(M, MZ, ndi.get_global_id(0), ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        if (profiling)
+          etime = esimd_test::report_time("kernel time", e, e);
+      } else if (block_size == 8) {
+        auto e = q.submit([&](handler &cgh) {
+          cgh.parallel_for<class Transpose08>(
+              Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+                transpose8(M, MZ, ndi.get_global_id(0), ndi.get_global_id(1));
+              });
+        });
+        e.wait();
+        if (profiling)
+          etime = esimd_test::report_time("kernel time", e, e);
+      }
+
+      if (i > 0)
+        kernel_times += etime;
+      else
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(M, q);
+    return false;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  total_times += (end - start) * 1000.0f / num_iters;
+
+  // printMatrix("\nTransposed matrix:", M, MZ);
+  bool success = checkResult(M, MZ);
+  free(M, q);
+  return success;
+}
+
+int main(int argc, char *argv[]) {
+  unsigned MZ = 1U << 5;
+  if (argc >= 2) {
+    unsigned exponent = atoi(argv[1]);
+    MZ = (MZ > (1U << exponent)) ? MZ : (1U << exponent);
+    MZ = (MZ < (1U << 12)) ? MZ : (1U << 12);
+  }
+
+  queue Q = esimd_test::createQueue();
+
+  unsigned num_iters = 10;
+  double kernel_times = 0;
+  double total_times = 0;
+
+  bool success = true;
+  success &= runTest(Q, MZ, 16, num_iters, kernel_times, total_times);
+  if (argc == 1) {
+    success &= runTest(Q, 1U << 7, 8, num_iters, kernel_times, total_times);
+    success &= runTest(Q, 1U << 8, 8, num_iters, kernel_times, total_times);
+    success &= runTest(Q, 1U << 9, 8, num_iters, kernel_times, total_times);
+    // success &= runTest(Q, 1U << 13, 8, num_iters, kernel_times, total_times);
+    success &= runTest(Q, 1U << 7, 16, num_iters, kernel_times, total_times);
+    success &= runTest(Q, 1U << 8, 16, num_iters, kernel_times, total_times);
+    success &= runTest(Q, 1U << 9, 16, num_iters, kernel_times, total_times);
+    // success &= runTest(Q, 1U << 13, 16, num_iters, kernel_times,
+    // total_times);
+  }
+
+  const bool profiling =
+      Q.has_property<sycl::property::queue::enable_profiling>();
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, total_times);
+
+  cerr << (success ? "PASSED\n" : "FAILED\n");
+  return !success;
+}
diff --git a/sycl/test-e2e/ESIMD/named_barriers/exec_in_order.cpp b/sycl/test-e2e/ESIMD/named_barriers/exec_in_order.cpp
new file mode 100644
index 0000000000000..5dbcbf8cbe333
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/named_barriers/exec_in_order.cpp
@@ -0,0 +1,183 @@
+//==------------ exec_in_order.cpp - DPC++ ESIMD on-device test -----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO: enable esimd_emulator when supported
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test checks support of named barrier in ESIMD kernel.
+// Threads are executed in ascending order of their local ID and each thread
+// stores data to addresses that partially overlap with addresses used by
+// previous thread.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num> class KernelID;
+
+template <int case_num, unsigned Threads, unsigned Size, bool UseSLM,
+          class QueueTY>
+bool test(QueueTY q) {
+  constexpr unsigned Groups = 1;
+  // number of ints stored by each thread
+  constexpr unsigned VL = Size / Threads;
+
+  static_assert(Threads % 2 == 0, "Number of threads must be even");
+  static_assert(
+      Size % (2 * Threads) == 0,
+      "Surface size must be evenly divisible by twice the number of threads");
+
+  // need to write at least 2 ints per thread in order to overlap
+  static_assert(VL >= 2,
+                "Surface size must be at least 2 times the number of threads");
+
+  std::cout << "Case #" << case_num << "\n\tTreads: " << Threads
+            << "\n\tInts per thread: " << VL
+            << "\n\tMemory: " << (UseSLM ? "local\n" : "global\n");
+
+  std::vector<int> out(Size, 0);
+
+  try {
+    buffer<int, 1> buf(out.data(), out.size());
+
+    // workgroups
+    sycl::range<1> GlobalRange{Groups};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            // Threads - 1 named barriers required
+            // but id 0 reserved for unnamed
+            named_barrier_init<Threads>();
+
+            unsigned int idx = ndi.get_local_id(0);
+            // overlaping offset
+            unsigned int off = idx * VL * sizeof(int) / 2;
+
+            int flag = 0; // producer-consumer mode
+            int producers = 2;
+            int consumers = 2;
+            simd<int, VL> val(idx);
+
+            if constexpr (UseSLM) {
+              slm_init(Size * sizeof(int));
+              lsc_slm_block_store<int, VL>(2 * off, simd<int, VL>(0));
+            }
+            barrier();
+
+            // Threads are executed in ascending order of their local ID and
+            // each thread stores data to addresses that partially overlap with
+            // addresses used by previous thread.
+
+            // idx == 0 skips this branch and goes straight to lsc_surf_store
+            // idx == 1 signals barrier 1
+            // idx == 2 signals barrier 2
+            // idx == 3 signals barrier 3
+            // and so on
+            if (idx > 0) {
+              int barrier_id = idx;
+              named_barrier_signal(barrier_id, flag, producers, consumers);
+              named_barrier_wait(barrier_id);
+            }
+
+            if constexpr (UseSLM)
+              lsc_slm_block_store<int, VL>(off, val);
+            else
+              lsc_block_store<int, VL>(acc, off, val);
+
+            lsc_fence();
+
+            // idx == 0 arrives here first and signals barrier 1
+            // idx == 1 arrives here next and signals barrier 2
+            // idx == 2 arrives here next and signals barrier 3
+            // and so on, but last thread skipped this block
+            if (idx < Threads - 1) {
+              int barrier_id = idx + 1;
+              named_barrier_signal(barrier_id, flag, producers, consumers);
+              named_barrier_wait(barrier_id);
+            }
+
+            barrier();
+            if constexpr (UseSLM) {
+              auto res = lsc_slm_block_load<int, VL>(2 * off);
+              lsc_block_store<int, VL>(acc, 2 * off, res);
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+  for (int i = 0; i < Size; i++) {
+    int etalon = i * 2 * Threads / Size;
+    if (etalon == Threads) // last stored chunk
+      etalon -= 1;
+    if (etalon > Threads) // excessive part of surface
+      etalon = 0;
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << out[i] << " vs " << etalon << "\n";
+    }
+  }
+
+  std::cout << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto GPUSelector = gpu_selector{};
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<1, 2, 4, true>(q);
+  passed &= test<2, 2, 4, false>(q);
+
+  passed &= test<3, 4, 8, true>(q);
+  passed &= test<4, 4, 8, false>(q);
+
+  passed &= test<5, 4, 8, true>(q);
+  passed &= test<6, 4, 8, false>(q);
+
+  passed &= test<7, 8, 16, true>(q);
+  passed &= test<8, 8, 16, false>(q);
+
+  passed &= test<9, 2, 8, true>(q);
+  passed &= test<10, 2, 8, false>(q);
+
+  passed &= test<11, 4, 16, true>(q);
+  passed &= test<12, 4, 16, false>(q);
+
+  passed &= test<13, 4, 32, true>(q);
+  passed &= test<14, 4, 32, false>(q);
+
+  passed &= test<15, 8, 32, true>(q);
+  passed &= test<16, 8, 32, false>(q);
+
+  passed &= test<17, 16, 64, true>(q);
+  passed &= test<18, 16, 64, false>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/named_barriers/exec_in_order_branched.cpp b/sycl/test-e2e/ESIMD/named_barriers/exec_in_order_branched.cpp
new file mode 100644
index 0000000000000..d320a8001e5dc
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/named_barriers/exec_in_order_branched.cpp
@@ -0,0 +1,213 @@
+//==------- exec_in_order_branched.cpp - DPC++ ESIMD on-device test -------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO: enable esimd_emulator when supported
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test checks support of named barrier in ESIMD kernel.
+// Threads are executed in ascending order of their local ID and each thread
+// stores data to addresses that partially overlap with addresses used by
+// previous thread. Same as "exec_in_order.cpp", but each thread in separate
+// 'if' branch.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num> class KernelID;
+
+template <int case_num, unsigned Size, bool UseSLM, class QueueTY>
+bool test(QueueTY q) {
+  constexpr unsigned Groups = 1;
+  constexpr unsigned Threads = 4;
+  // number of ints stored by each thread
+  constexpr unsigned VL = Size / Threads;
+
+  static_assert(
+      Size % (2 * Threads) == 0,
+      "Surface size must be evenly divisible by twice the number of threads");
+
+  // need to write at least 2 ints per thread in order to overlap
+  static_assert(VL >= 2,
+                "Surface size must be at least 2 times the number of threads");
+
+  std::cout << "Case #" << case_num << "\n\tTreads: " << Threads
+            << "\n\tInts per thread: " << VL
+            << "\n\tMemory: " << (UseSLM ? "local\n" : "global\n");
+
+  std::vector<int> out(Size, 0);
+
+  try {
+    buffer<int, 1> buf(out.data(), out.size());
+
+    // workgroups
+    sycl::range<1> GlobalRange{Groups};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            // Threads - 1 named barriers required
+            // but id 0 reserved for unnamed
+            named_barrier_init<Threads>();
+
+            unsigned int idx = ndi.get_local_id(0);
+            // overlaping offset
+            unsigned int off = idx * VL * sizeof(int) / 2;
+
+            int flag = 0; // producer-consumer mode
+            int producers = 2;
+            int consumers = 2;
+
+            simd<int, VL> val(idx);
+
+            if constexpr (UseSLM) {
+              slm_init(Size * sizeof(int));
+              lsc_slm_block_store<int, VL>(2 * off, simd<int, VL>(0));
+            }
+
+            barrier();
+
+            // Threads are executed in ascending order of their local ID and
+            // each thread stores data to addresses that partially overlap with
+            // addresses used by previous thread.
+            if (idx == 0) {
+              if constexpr (UseSLM) {
+                lsc_slm_block_store<int, VL>(off, val);
+              } else {
+                lsc_fence();
+                lsc_block_store<int, VL>(acc, off, val);
+                lsc_fence();
+              }
+
+              // T0 signals barrier 1 and locks
+              // waiting for first signal from T1
+              const int barrier_id = 1;
+              named_barrier_signal(barrier_id, flag, producers, consumers);
+              named_barrier_wait(barrier_id);
+            } else if (idx == 1) {
+              // T1 signals barrier 1 and locks, waiting for signal from T0
+              const int barrier_id = 1;
+              named_barrier_signal(barrier_id, flag, producers, consumers);
+              named_barrier_wait(barrier_id);
+
+              if constexpr (UseSLM) {
+                lsc_slm_block_store<int, VL>(off, val);
+              } else {
+                lsc_fence();
+                lsc_block_store<int, VL>(acc, off, val);
+                lsc_fence();
+              }
+
+              // T1 signals barrier 2 and locks
+              // waiting for first signal from T2
+              const int barrier_id2 = 2;
+              named_barrier_signal(barrier_id2, flag, producers, consumers);
+              named_barrier_wait(barrier_id2);
+            } else if (idx == 2) {
+              // T2 signals barrier 2 and locks
+              // waiting for second signal from T1
+              const int barrier_id = 2;
+              named_barrier_signal(barrier_id, flag, producers, consumers);
+              named_barrier_wait(barrier_id);
+
+              if constexpr (UseSLM) {
+                lsc_slm_block_store<int, VL>(off, val);
+              } else {
+                lsc_fence();
+                lsc_block_store<int, VL>(acc, off, val);
+                lsc_fence();
+              }
+
+              // T2 signals barrier 3 and locks, waiting for signal from T3
+              const int barrier_id2 = 3;
+              named_barrier_signal(barrier_id2, flag, producers, consumers);
+              named_barrier_wait(barrier_id2);
+            } else {
+              // T3 signals barrier 3 and locks
+              // waiting for second signal from T2
+              const int barrier_id = 3;
+              named_barrier_signal(barrier_id, flag, producers, consumers);
+              named_barrier_wait(barrier_id);
+
+              if constexpr (UseSLM) {
+                lsc_slm_block_store<int, VL>(off, val);
+              } else {
+                lsc_fence();
+                lsc_block_store<int, VL>(acc, off, val);
+                lsc_fence();
+              }
+            }
+
+            barrier();
+            if constexpr (UseSLM) {
+              auto res = lsc_slm_block_load<int, VL>(2 * off);
+              lsc_block_store<int, VL>(acc, 2 * off, res);
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+  for (int i = 0; i < Size; i++) {
+    int etalon = i * 2 * Threads / Size;
+    if (etalon == Threads) // last stored chunk
+      etalon -= 1;
+    if (etalon > Threads) // excessive part of surface
+      etalon = 0;
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << out[i] << " vs " << etalon << "\n";
+    }
+  }
+
+  std::cout << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto GPUSelector = gpu_selector{};
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  // Threads == 4
+  passed &= test<1, 8, true>(q);
+  passed &= test<2, 8, false>(q);
+
+  passed &= test<3, 16, true>(q);
+  passed &= test<4, 16, false>(q);
+
+  passed &= test<5, 32, true>(q);
+  passed &= test<6, 32, false>(q);
+
+  passed &= test<7, 64, true>(q);
+  passed &= test<8, 64, false>(q);
+
+  passed &= test<9, 128, true>(q);
+  passed &= test<10, 128, false>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/named_barriers/loop.cpp b/sycl/test-e2e/ESIMD/named_barriers/loop.cpp
new file mode 100644
index 0000000000000..f08764ceee02f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/named_barriers/loop.cpp
@@ -0,0 +1,153 @@
+//==---------------- loop.cpp - DPC++ ESIMD on-device test ----------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO: enable esimd_emulator when supported
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test checks support of named barrier in a loop in ESIMD kernel.
+// SLM and surface size is 32 bytes, 16 bytes per iteration.
+// Each iteration has 1 barrier and 1 producer. Producer stores data to SLM,
+// then all threads read SLM and store data to surface.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num> class KernelID;
+
+template <unsigned case_num, unsigned Size, class QueueTY>
+bool test(QueueTY q) {
+  constexpr unsigned Groups = 1;
+  constexpr unsigned Threads = 8;
+
+  static_assert((Size % (2 * Threads) == 0) && (Size >= (2 * Threads)),
+                "Inv case");
+
+  std::vector<int> out(Size, 0);
+
+  try {
+    buffer<int, 1> buf(out.data(), out.size());
+
+    // workgroups
+    sycl::range<1> GlobalRange{Groups};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            // 2 named barriers, id 0 reserved for unnamed
+            constexpr unsigned bnum = 3;
+
+            constexpr unsigned producers = 1;
+            constexpr unsigned consumers = Threads; // 8
+
+            // SLM size is half of output surface size so
+            // content of SLM can be copied to out buffer on each iteration
+            constexpr unsigned SlmSize = Size / 2;
+            // number of ints read/written by single thread
+            constexpr unsigned VL = SlmSize / Threads;
+
+            named_barrier_init<bnum>();
+
+            unsigned int idx = ndi.get_local_id(0);
+            unsigned int off = idx * VL * sizeof(int);
+
+            slm_init(SlmSize * sizeof(int));
+            lsc_slm_block_store<int, VL>(off, simd<int, VL>(0));
+            barrier();
+
+            for (int b = 1; b < bnum; b++) {
+              int i = b - 1;
+
+              // local ID 1 is producer on first iteration, local ID 2 on second
+              bool is_producer = idx == b;
+              bool is_consumer = !is_producer;
+              // producer is also a consumer
+              unsigned int flag = is_producer ? 0x0 : 0x2;
+
+              if (is_producer) {
+                // second iteration store partialy overlaps data stored on first
+                // iteration
+                unsigned int prod_off = i * sizeof(int) * SlmSize / 4;
+
+                int v = 0xdead0000 + idx;
+                simd<int, SlmSize / 2> init(v);
+                // producer stores to SLM
+                lsc_slm_block_store<int, SlmSize / 2>(prod_off, init);
+              }
+
+              named_barrier_signal(b, flag, producers, consumers);
+              named_barrier_wait(b); // consumers waiting for signal
+
+              // reading SLM
+              auto val = lsc_slm_block_load<int, VL>(off);
+              // and storing it to output surface
+              unsigned int store_off = off + i * SlmSize * sizeof(int);
+              lsc_fence();
+              lsc_block_store<int, VL>(acc, store_off, val);
+              lsc_fence();
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+  for (int i = 0; i < Size; i++) {
+    int etalon = 0;
+    if (i < Size / 4)
+      etalon = 0xdead0001;
+    if (i >= Size / 2) {
+      if (i < (7 * Size / 8)) {
+        if (i < (5 * Size / 8))
+          etalon = 0xdead0001;
+        else
+          etalon = 0xdead0002;
+      }
+    }
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << std::hex << out[i] << " vs " << etalon
+                << std::dec << std::endl;
+    }
+  }
+
+  std::cout << "#" << case_num << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto GPUSelector = gpu_selector{};
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<1, 16>(q);
+  passed &= test<2, 32>(q);
+  passed &= test<3, 64>(q);
+  passed &= test<4, 128>(q);
+  passed &= test<5, 256>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/named_barriers/loop_extended.cpp b/sycl/test-e2e/ESIMD/named_barriers/loop_extended.cpp
new file mode 100644
index 0000000000000..695914d6727fd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/named_barriers/loop_extended.cpp
@@ -0,0 +1,155 @@
+//=------------- loop_extended.cpp - DPC++ ESIMD on-device test -------------=//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO: enable esimd_emulator when supported
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test checks support of named barrier in a loop in ESIMD kernel.
+// First iteration has 1 barrier and 1 producer, second - 2 barriers and 2
+// producers. Producer stores data to SLM, then all threads read SLM and store
+// data to surface.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num> class KernelID;
+
+template <unsigned case_num, unsigned Size, class QueueTY>
+bool test(QueueTY q) {
+  constexpr unsigned Groups = 1;
+  constexpr unsigned Threads = 8;
+
+  static_assert((Size % (2 * Threads) == 0) && (Size >= (2 * Threads)),
+                "Inv case");
+
+  std::vector<int> out(Size, 0);
+
+  try {
+    buffer<int, 1> buf(out.data(), out.size());
+
+    // workgroups
+    sycl::range<1> GlobalRange{Groups};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<
+          case_num>>(Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+        // 2 named barriers, id 0 reserved for unnamed
+        constexpr unsigned bnum = 3;
+
+        // SLM size is half of output surface size so
+        // content of SLM can be copied to out buffer on each iteration
+        constexpr unsigned SlmSize = Size / 2;     // 32
+        constexpr unsigned VL = SlmSize / Threads; // 4
+
+        named_barrier_init<bnum>();
+
+        unsigned int idx = ndi.get_local_id(0);
+        unsigned int off = idx * VL * sizeof(int);
+
+        // 2 producers on first iteration, 1 producer on second
+        unsigned int indexes[2][2] = {{1, 2}, {3, 3}}; // local ids of producers
+        unsigned int prods[2] = {2, 1};                // number of producers
+
+        slm_init(SlmSize * sizeof(int));
+        lsc_slm_block_store<int, VL>(off, simd<int, VL>(0));
+        barrier();
+
+        for (int b = bnum - 1; b > 0; b--) {
+          int j = bnum - b - 1; // iteration index
+
+          bool is_producer = idx == indexes[j][0] || idx == indexes[j][1];
+          bool is_consumer = !is_producer;
+          // only-consumer or only-producer modes
+          unsigned int flag = is_producer ? 0x1 : 0x2;
+
+          unsigned int producers = prods[j];
+          unsigned int consumers = Threads - producers;
+
+          if (is_producer) {
+            unsigned int p_off = j * sizeof(int) * SlmSize / 4;
+            // second iteration store partialy overlaps first iteration stores
+            unsigned int dx = producers == 2 ? (idx - 1) : 0;
+            p_off += dx * sizeof(int) * SlmSize / 2;
+            int v = 0xdead0000 + idx;
+            simd<int, SlmSize / 2> init(v);
+            // producer stores to SLM
+            lsc_slm_block_store<int, SlmSize / 2>(p_off, init);
+          }
+
+          named_barrier_signal(b, flag, producers, consumers);
+
+          if (is_consumer)
+            named_barrier_wait(b); // consumers waiting for signal
+
+          auto val = lsc_slm_block_load<int, VL>(off); // reading SLM
+          // and storing it to output surface
+          lsc_fence();
+          lsc_block_store<int, VL>(acc, off + j * SlmSize * sizeof(int), val);
+          lsc_fence();
+        }
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+  for (int i = 0; i < Size; i++) {
+    int etalon = 0xdead0002;
+    if (i < Size / 4)
+      etalon = 0xdead0001;
+    if (i >= Size / 2) {
+      if (i < (7 * Size / 8)) {
+        if (i < (5 * Size / 8))
+          etalon = 0xdead0001;
+        else
+          etalon = 0xdead0003;
+      }
+    }
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << std::hex << out[i] << " vs " << etalon
+                << std::dec << std::endl;
+    }
+  }
+
+  std::cout << "#" << case_num << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto GPUSelector = gpu_selector{};
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<1, 16>(q);
+  passed &= test<2, 32>(q);
+  passed &= test<3, 64>(q);
+  passed &= test<4, 128>(q);
+  passed &= test<5, 256>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/named_barriers/multiple_wg.cpp b/sycl/test-e2e/ESIMD/named_barriers/multiple_wg.cpp
new file mode 100644
index 0000000000000..ce7c9b3f40ee8
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/named_barriers/multiple_wg.cpp
@@ -0,0 +1,152 @@
+//==------------ multiple_wg.cpp - DPC++ ESIMD on-device test -------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO: enable esimd_emulator when supported
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test checks support of named barrier in ESIMD kernel.
+// Basic case with 2 work-groups.
+// SLM and surface size is 16 bytes, 8 bytes per group.
+// Each work-group contain 2 threads: 1 producer and 1 consumer.
+// Producers store to SLM; consumers read SLM and store data to surface.
+
+#include <CL/sycl.hpp>
+#include <sycl/ext/intel/esimd.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num> class KernelID;
+
+template <unsigned case_num, unsigned Groups, unsigned Threads, class QueueTY>
+bool test(QueueTY q) {
+  constexpr unsigned NUM = Threads * Groups;
+  constexpr unsigned Size = 4 * NUM;
+
+  static_assert(Threads > 1, "Threads number must be greater than 1");
+  static_assert(Threads % 2 == 0, "Threads number expect to be even");
+  static_assert(Groups > 1, "Threads number must be greater than 1");
+
+  std::vector<int> out(Size, 0);
+
+  try {
+    buffer<int, 1> buf(out.data(), out.size());
+
+    // workgroups
+    sycl::range<1> GlobalRange{Groups};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            // 1 named barrier, id 0 reserved for unnamed
+            constexpr unsigned bnum = 2;
+            constexpr unsigned bid = 1;
+
+            constexpr unsigned producers = Threads / 2;
+            constexpr unsigned consumers = Threads / 2;
+
+            // total number of execution units
+            constexpr unsigned NUM = Threads * Groups;
+            // number of ints per execution unit
+            constexpr unsigned VL = Size / NUM;
+            // number of ints each producer stored / each consumer loaded
+            constexpr unsigned VL2 = 2 * VL;
+
+            named_barrier_init<bnum>();
+
+            unsigned int localID = ndi.get_local_id(0);
+            unsigned int groupID = ndi.get_group(0);
+            unsigned int globalID = ndi.get_global_id(0);
+            unsigned int groupSize = ndi.get_local_range(0);
+            unsigned int group_off = VL * groupID * groupSize * sizeof(int);
+            unsigned int global_off = VL * globalID * sizeof(int);
+
+            slm_init(Size * sizeof(int));
+            slm_block_store(global_off, simd<int, VL>(0));
+            barrier();
+
+            // thread with odd local id is producer in each work-group
+            bool is_producer = localID % 2 == 1;
+            bool is_consumer = !is_producer;
+            // only-producer or only-comsumer modes
+            unsigned int flag = is_producer ? 0x1 : 0x2;
+
+            if (is_producer) {
+              int v = 0xdead0000 | (groupID << 8) | localID;
+              // offset inside work-group
+              unsigned int off = (localID - 1) * VL * sizeof(int);
+              // producer stores data to SLM
+              slm_block_store(group_off + off, simd<int, VL2>(v));
+            }
+
+            // signaling after data stored
+            named_barrier_signal(bid, flag, producers, consumers);
+
+            if (is_consumer) {
+              named_barrier_wait(
+                  bid); // consumers waiting here for signal from producer
+              // offset inside work-group
+              unsigned int off = localID * VL * sizeof(int);
+              // read SLM and store to output
+              auto ret = slm_block_load<int, VL2>(group_off + off);
+              lsc_block_store<int, VL2>(acc, group_off + off, ret);
+            }
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  bool passed = true;
+  constexpr unsigned elem_per_group = Size / Groups;
+  constexpr unsigned elem_per_thread = elem_per_group / Threads;
+
+  for (int i = 0; i < Size; i++) {
+    int etalon = 0xdead0000 | (i / elem_per_group) << 8;
+    etalon |= (i % elem_per_group) / elem_per_thread;
+    if (etalon % 2 == 0)
+      etalon += 1;
+
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << std::hex << out[i] << " vs " << etalon
+                << std::dec << std::endl;
+    }
+  }
+
+  std::cout << "#" << case_num << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto GPUSelector = gpu_selector{};
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<1, 2, 2>(q);
+  passed &= test<2, 2, 4>(q);
+  passed &= test<3, 4, 4>(q);
+  passed &= test<4, 2, 32>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/named_barriers/single_wg.cpp b/sycl/test-e2e/ESIMD/named_barriers/single_wg.cpp
new file mode 100644
index 0000000000000..c859fee1f199b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/named_barriers/single_wg.cpp
@@ -0,0 +1,134 @@
+//==-------------- single_wg.cpp - DPC++ ESIMD on-device test -------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// TODO: enable esimd_emulator when supported
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Test checks support of named barrier in ESIMD kernel.
+// Basic case with 1 work-group and 16 threads: 4 producer and 12 consumer.
+// SLM and surface size is 64 bytes.
+// Producers store data to SLM, then all threads read SLM and store data to
+// surface.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+template <int case_num> class KernelID;
+
+template <int case_num, unsigned prods, unsigned cons, class QueueTY>
+bool test(QueueTY q) {
+  constexpr unsigned Groups = 1;
+  constexpr unsigned Threads = cons + prods;
+  constexpr unsigned Size = 4 * Threads;
+  constexpr unsigned scale = cons / prods;
+
+  static_assert(cons >= prods, "Consumers must be greater than producers");
+  static_assert(cons % prods == 0, "Consumers must be multiple of producers");
+  static_assert(Threads > 3, "Total number of threads must be greater than 3");
+
+  std::vector<int> out(Size, 0);
+
+  try {
+    buffer<int, 1> buf(out.data(), out.size());
+
+    // workgroups
+    sycl::range<1> GlobalRange{Groups};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<KernelID<case_num>>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            // 1 named barrier, id 0 reserved for unnamed
+            constexpr unsigned bnum = 2;
+            constexpr unsigned bid = 1;
+
+            // number of ints loaded/stored by each thread
+            constexpr unsigned VL = Size / Threads;
+            // number of ints stored to SLM by producer
+            constexpr unsigned NUM = VL * (1 + scale);
+
+            named_barrier_init<bnum>();
+
+            unsigned int idx = ndi.get_local_id(0);
+            unsigned int off = idx * VL * sizeof(int);
+
+            bool is_producer = (idx % (scale + 1)) == scale;
+            bool is_consumer = !is_producer;
+            // only-consumer or only-producer modes
+            unsigned int flag = is_producer ? 0x1 : 0x2;
+
+            slm_init(Size * sizeof(int));
+            slm_block_store(off, simd<int, VL>(0));
+            barrier();
+
+            if (is_producer) {
+              unsigned int x = VL * (idx - scale);
+              unsigned int p_off = x * sizeof(int);
+              // each producer stores x4 data
+              simd<int, NUM> init(0xdead0000 + x, 1);
+              slm_block_store(p_off, init); // producers store data to SLM
+            }
+
+            // signaling after data stored
+            named_barrier_signal(bid, flag, prods, cons);
+
+            if (is_consumer)
+              named_barrier_wait(bid); // consumers waiting for signal
+
+            auto val = slm_block_load<int, VL>(off); // reading SLM
+            lsc_block_store<int, VL>(acc, off,
+                                     val); // and storing it to output surface
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return -1;
+  }
+
+  bool passed = true;
+  for (int i = 0; i < Size; i++) {
+    int etalon = 0xdead0000 + i;
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << std::hex << out[i] << " vs " << etalon
+                << std::dec << std::endl;
+    }
+  }
+
+  std::cout << "#" << case_num << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto GPUSelector = gpu_selector{};
+  auto q = queue{GPUSelector};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<1, 4, 12>(q);
+  passed &= test<2, 2, 14>(q);
+  passed &= test<3, 8, 24>(q);
+  passed &= test<4, 2, 2>(q);
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/Inputs/noinline_args_size_common.hpp b/sycl/test-e2e/ESIMD/noinline_args_size/Inputs/noinline_args_size_common.hpp
new file mode 100644
index 0000000000000..bd6add9c8ef42
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/Inputs/noinline_args_size_common.hpp
@@ -0,0 +1,106 @@
+//===------ noinline_args_size_common.hpp  - DPC++ ESIMD on-device test ---===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks that ESIMD kernels support call of noinline function from
+// main function with different total arguments size and retval size. Cases:
+//   Total arguments size < %arg register size (32 GRFs)
+//   Total arguments size == %arg register size
+//   Total arguments size > %arg register size (i.e. stack mem is required)
+//   Return value size < %retval register size (12 GRFs)
+//   Return value size == %retval register size
+//   Return value size > %retval register size
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+static_assert(SIZE >= VL, "Size must greater than or equal to VL");
+static_assert(SIZE % VL == 0, "Size must be multiple of VL");
+constexpr unsigned ROWS = SIZE / VL;
+
+using namespace sycl;
+
+class KernelID;
+
+template <typename TA, typename TB, typename TC>
+ESIMD_NOINLINE TC add(TA A, TB B) {
+  return (TC)A + (TC)B;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  a_data_t *A = sycl::malloc_shared<a_data_t>(SIZE, q);
+  for (int i = 0; i < SIZE; i++)
+    A[i] = (a_data_t)1;
+
+  b_data_t *B = sycl::malloc_shared<b_data_t>(SIZE, q);
+  for (int i = 0; i < SIZE; i++)
+    B[i] = (b_data_t)i;
+
+  c_data_t *C = sycl::malloc_shared<c_data_t>(SIZE, q);
+  memset(C, 0, SIZE * sizeof(c_data_t));
+
+  try {
+    auto qq = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID>(
+          sycl::range<1>{1}, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+
+            simd<a_data_t, SIZE> va(0);
+            simd<b_data_t, SIZE> vb(0);
+            for (int j = 0; j < ROWS; j++) {
+              simd<a_data_t, VL> a_data;
+              a_data.copy_from(A + j * VL);
+              va.select<VL, 1>(j * VL) = a_data;
+              simd<b_data_t, VL> b_data;
+              b_data.copy_from(B + j * VL);
+              vb.select<VL, 1>(j * VL) = b_data;
+            }
+
+            auto vc = add<simd<a_data_t, SIZE>, simd<b_data_t, SIZE>,
+                          simd<c_data_t, SIZE>>(va, vb);
+
+            for (int j = 0; j < ROWS; j++) {
+              simd<c_data_t, VL> vals = vc.select<VL, 1>(j * VL);
+              vals.copy_to(C + j * VL);
+            }
+          });
+    });
+
+    qq.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+    return 1;
+  }
+
+  unsigned err_cnt = 0;
+  for (int i = 0; i < SIZE; i++)
+    if (C[i] != A[i] + B[i])
+      err_cnt++;
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  if (err_cnt > 0) {
+    std::cout << "FAILED" << std::endl;
+    return 1;
+  }
+
+  std::cout << "passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_192.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_192.cpp
new file mode 100644
index 0000000000000..516aebd5cd9fb
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_192.cpp
@@ -0,0 +1,23 @@
+//===-- noinline_args_char_int_size_192.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 192;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_256.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_256.cpp
new file mode 100644
index 0000000000000..258c08a4031f6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_256.cpp
@@ -0,0 +1,23 @@
+//===-- noinline_args_char_int_size_256.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 256;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_512.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_512.cpp
new file mode 100644
index 0000000000000..2bb4526f8865f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_512.cpp
@@ -0,0 +1,23 @@
+//===-- noinline_args_char_int_size_512.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 512;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_64.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_64.cpp
new file mode 100644
index 0000000000000..18049c10b132a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_64.cpp
@@ -0,0 +1,23 @@
+//===--- noinline_args_char_int_size_64.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 64;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_96.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_96.cpp
new file mode 100644
index 0000000000000..e1f622e103aea
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_char_int_size_96.cpp
@@ -0,0 +1,23 @@
+//===--- noinline_args_char_int_size_96.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 96;
+
+using a_data_t = int8_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_192.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_192.cpp
new file mode 100644
index 0000000000000..8a8a6fd189a06
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_192.cpp
@@ -0,0 +1,23 @@
+//===-- noinline_args_char_int_size_192.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 192;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_256.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_256.cpp
new file mode 100644
index 0000000000000..146f265d4e25c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_256.cpp
@@ -0,0 +1,23 @@
+//===-- noinline_args_char_int_size_256.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 256;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_512.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_512.cpp
new file mode 100644
index 0000000000000..fb1425c414e5d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_512.cpp
@@ -0,0 +1,23 @@
+//===-- noinline_args_char_int_size_512.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 512;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_64.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_64.cpp
new file mode 100644
index 0000000000000..fae030d2faf20
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_64.cpp
@@ -0,0 +1,23 @@
+//===--- noinline_args_char_int_size_64.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 64;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_96.cpp b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_96.cpp
new file mode 100644
index 0000000000000..82ee3c9d59ebe
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_args_size/noinline_args_int_size_96.cpp
@@ -0,0 +1,23 @@
+//===--- noinline_args_char_int_size_96.cpp  - DPC++ ESIMD on-device test -===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <cstdint>
+
+constexpr unsigned VL = 16;
+constexpr unsigned SIZE = 96;
+
+using a_data_t = int32_t;
+using b_data_t = int32_t;
+using c_data_t = int32_t;
+
+#include "Inputs/noinline_args_size_common.hpp"
diff --git a/sycl/test-e2e/ESIMD/noinline_call_from_func.cpp b/sycl/test-e2e/ESIMD/noinline_call_from_func.cpp
new file mode 100644
index 0000000000000..0e1f8f150d4ca
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_call_from_func.cpp
@@ -0,0 +1,73 @@
+//===------ noinline_call_from_func.cpp  - DPC++ ESIMD on-device test -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// Test currently timeouts on Windows Level Zero and OpenCL
+// UNSUPPORTED: windows
+// Temporarily disabled due to flaky behavior
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+//
+// The test checks that ESIMD kernels support call of noinline function from
+// within other functions.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class KernelID;
+
+ESIMD_NOINLINE int add(int A, int B) { return A + B; }
+
+template <typename AccTy> ESIMD_NOINLINE void test(AccTy acc, int A, int B) {
+  using namespace sycl::ext::intel::esimd;
+
+  auto res = add(A, B);
+
+  scalar_store(acc, 0, res);
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  int result = 0;
+  int *output = &result;
+
+  int in1 = 100;
+  int in2 = 233;
+
+  try {
+    buffer<int, 1> buf(output, range<1>(1));
+
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<KernelID>(
+          sycl::range<1>{1},
+          [=](id<1> i) SYCL_ESIMD_KERNEL { test(acc, in1, in2); });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  }
+
+  if (result != (in1 + in2)) {
+    std::cout << "Failed: with result: " << result << std::endl;
+    return 1;
+  }
+
+  std::cout << "passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/noinline_call_recursive.cpp b/sycl/test-e2e/ESIMD/noinline_call_recursive.cpp
new file mode 100644
index 0000000000000..eaa583f1d3481
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/noinline_call_recursive.cpp
@@ -0,0 +1,84 @@
+//===------ noinline_call_recursive.cpp  - DPC++ ESIMD on-device test -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// Recursion is not supported in ESIMD (intel/llvm PR#3390)
+// REQUIRES: TEMPORARY_DISBLED
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env IGC_FunctionControl=3 IGC_ForceInlineStackCallWithImplArg=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that ESIMD kernels support recursive call of noinline
+// functions.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class KernelID;
+
+ESIMD_NOINLINE unsigned add(unsigned A, unsigned B, unsigned C) {
+  if (B == 0)
+    return A;
+
+  return (B % C == 0) ? add(A + 1, B - 1, C) : add(A - C, B - 2, C);
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  unsigned result = 0;
+  unsigned *output = &result;
+
+  unsigned in1 = 233;
+  unsigned in2 = 21;
+  unsigned in3 = 3;
+
+  try {
+    buffer<unsigned, 1> buf(output, range<1>(1));
+
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<KernelID>(sycl::range<1>{1},
+                                 [=](id<1> i) SYCL_ESIMD_KERNEL {
+                                   using namespace sycl::ext::intel::esimd;
+
+                                   auto res = add(in1, in2, in3);
+
+                                   scalar_store(acc, 0, res);
+                                 });
+    });
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  }
+
+  int etalon = in1;
+  while (in2 > 0) {
+    if (in2 % in3 == 0) {
+      etalon += 1;
+      in2 -= 1;
+    } else {
+      etalon -= in3;
+      in2 -= 2;
+    }
+  }
+
+  if (result != etalon) {
+    std::cout << "Failed: " << result << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/preemption.cpp b/sycl/test-e2e/ESIMD/preemption.cpp
new file mode 100644
index 0000000000000..5371161b32e9b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/preemption.cpp
@@ -0,0 +1,32 @@
+//==---------------- preemption.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip || esimd_emulator || gpu-intel-dg2 || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER IGC_DumpToCustomDir=%t.dump IGC_ShaderDumpEnable=1 %t.out
+// RUN: grep enablePreemption %t.dump/*.asm
+
+// The test expects to see "enablePreemption" switch in the compilation
+// switches. It fails if does not find it.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test>(sycl::range<1>{1},
+                                 [=](id<1> id) SYCL_ESIMD_KERNEL {});
+  });
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/printf.cpp b/sycl/test-e2e/ESIMD/printf.cpp
new file mode 100644
index 0000000000000..f8af04d6c0c80
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/printf.cpp
@@ -0,0 +1,155 @@
+//==--------------------------- printf.cpp ---------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// CUDA and HIP don't support printf.
+//
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+//
+// clang-format off
+// Test using __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ is disabled until ESIMD
+// supports it.
+// FIXME: enable that test
+// RUNx: %clangxx -fsycl -fsycl-targets=%sycl_triple -D__SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ %s -o %t_nonvar.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t_nonvar.out %GPU_CHECK_PLACEHOLDER
+// clang-format on
+//
+//===----------------------------------------------------------------------===//
+//
+// The test checks that ESIMD kernels support printf functionality.
+// Currently vector and pointer arguments are not supported.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <cstdint>
+#include <iostream>
+
+using namespace sycl::ext;
+
+// According to OpenCL C spec, the format string must be in constant address
+// space
+#ifdef __SYCL_DEVICE_ONLY__
+#define CONSTANT __attribute__((opencl_constant))
+#else
+#define CONSTANT
+#endif
+
+// This is one of the possible ways to define a format string in a correct
+// address space
+static const CONSTANT char format_hello_world[] = "Hello, World!\n";
+
+// Static isn't really needed if you define it in global scope
+const CONSTANT char format_int[] = "%d\n";
+
+int main() {
+  queue Queue(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  {
+    Queue.submit([&](handler &CGH) {
+      CGH.single_task([=]() SYCL_ESIMD_KERNEL {
+        // String
+        oneapi::experimental::printf(format_hello_world);
+        // CHECK: Hello, World!
+
+        // Integral types
+        oneapi::experimental::printf(format_int, (int32_t)123);
+        oneapi::experimental::printf(format_int, (int32_t)-123);
+        // CHECK-NEXT: 123
+        // CHECK-NEXT: -123
+
+        // String types
+        {
+          static CONSTANT const char str_arg[] = "foo";
+          static const CONSTANT char format[] = "%s\n";
+          oneapi::experimental::printf(format, str_arg);
+        }
+        // CHECK-NEXT: foo
+      });
+    });
+    Queue.wait();
+  }
+
+#ifndef __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  // Currently printf will promote floating point values to doubles.
+  // __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__ changes the behavior to not use
+  // a variadic function, so if it is defined it will not promote the floating
+  // point arguments.
+  if (Queue.get_device().has(sycl::aspect::fp64))
+#endif // __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  {
+    Queue.submit([&](handler &CGH) {
+      CGH.single_task<class floating_points>([=]() {
+        // Floating point types
+        {
+          // You can declare format string in non-global scope, but in this case
+          // static keyword is required
+          static const CONSTANT char format[] = "%.1f\n";
+          ext::oneapi::experimental::printf(format, 33.4f);
+          ext::oneapi::experimental::printf(format, -33.4f);
+        }
+      });
+    });
+    Queue.wait();
+  }
+#ifndef __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  else {
+    std::cout << "Skipped floating point test." << std::endl;
+    std::cout << "Skipped floating point test." << std::endl;
+  }
+#endif // __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  // CHECK-NEXT: {{(33.4|Skipped floating point test.)}}
+  // CHECK-NEXT: {{(-33.4|Skipped floating point test.)}}
+
+  {
+    // printf in parallel_for
+    constexpr int SIMD_SIZE = 16;
+    constexpr int WORK_SIZE = SIMD_SIZE;
+    int *Mem = malloc_shared<int>(WORK_SIZE * SIMD_SIZE, Queue);
+    for (int I = 0; I < WORK_SIZE * SIMD_SIZE; I++)
+      Mem[I] = I;
+    std::cout << "Start parallel_for:" << std::endl;
+    Queue
+        .parallel_for(range<1>(WORK_SIZE),
+                      [=](id<1> i) SYCL_ESIMD_KERNEL {
+                        static const CONSTANT char STR_LU_D[] =
+                            "Thread-id: %d, Value: %d\n";
+                        ext::intel::esimd::simd<int, SIMD_SIZE> Vec(
+                            Mem + i * SIMD_SIZE);
+                        // cast to uint64_t to be sure that we pass 64-bit
+                        // unsigned value
+                        oneapi::experimental::printf(STR_LU_D, (uint64_t)i[0],
+                                                     (int)Vec[i]);
+                      })
+        .wait();
+    free(Mem, Queue);
+    // CHECK-LABEL: Start parallel_for
+    // CHECK-DAG: Thread-id: 0, Value: 0
+    // CHECK-DAG: Thread-id: 1, Value: 17
+    // CHECK-DAG: Thread-id: 2, Value: 34
+    // CHECK-DAG: Thread-id: 3, Value: 51
+    // CHECK-DAG: Thread-id: 4, Value: 68
+    // CHECK-DAG: Thread-id: 5, Value: 85
+    // CHECK-DAG: Thread-id: 6, Value: 102
+    // CHECK-DAG: Thread-id: 7, Value: 119
+    // CHECK-DAG: Thread-id: 8, Value: 136
+    // CHECK-DAG: Thread-id: 9, Value: 153
+    // CHECK-DAG: Thread-id: 10, Value: 170
+    // CHECK-DAG: Thread-id: 11, Value: 187
+    // CHECK-DAG: Thread-id: 12, Value: 204
+    // CHECK-DAG: Thread-id: 13, Value: 221
+    // CHECK-DAG: Thread-id: 14, Value: 238
+    // CHECK-DAG: Thread-id: 15, Value: 255
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/private_memory.cpp b/sycl/test-e2e/ESIMD/private_memory.cpp
new file mode 100644
index 0000000000000..6e77be2a2ee5f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/private_memory.cpp
@@ -0,0 +1,183 @@
+//==---------------- private_memory.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu && !gpu-intel-pvc
+// UNSUPPORTED: cuda || hip
+
+// TODO online_compiler check fails for esimd_emulator.
+// XFAIL: esimd_emulator
+
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test verifies that basic ESIMD API works properly with
+// private memory allocated on stack.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+constexpr specialization_id<uint32_t> PrivateArrayLenSC(1);
+
+template <typename T, int PrivateArrayLenConst, int FirstN, bool UseConstExpr>
+ESIMD_NOINLINE bool test(queue Q, int PrivateArrayLen) {
+  std::cout << "Testing T=" << esimd_test::type_name<T>()
+            << " ArrLen=" << PrivateArrayLen << ", FirstN=" << FirstN
+            << ", UseConstExpr=" << UseConstExpr << "...\n";
+
+  int GlobalRange = 2;
+  int Size = GlobalRange * PrivateArrayLenConst;
+
+  auto DstAsIsUPtr = esimd_test::usm_malloc_shared<T>(Q, Size);
+  auto DstOddPlus1UPtr = esimd_test::usm_malloc_shared<T>(Q, Size);
+  auto DstAfterBlockStoreUPtr = esimd_test::usm_malloc_shared<T>(Q, Size);
+
+  T *DstAsIs = DstAsIsUPtr.get();
+  T *DstOddPlus1 = DstOddPlus1UPtr.get();
+  T *DstAfterBlockStore = DstAfterBlockStoreUPtr.get();
+  for (int I = 0; I < Size; I++) {
+    DstAsIs[I] = DstOddPlus1[I] = DstAfterBlockStore[I] = 0;
+  }
+
+  T TOne = static_cast<T>(1);
+  T TTen = static_cast<T>(10);
+
+  Q.submit([&](sycl::handler &CGH) {
+     CGH.set_specialization_constant<PrivateArrayLenSC>(PrivateArrayLen);
+     CGH.parallel_for(
+         GlobalRange, [=](id<1> Id, sycl::kernel_handler KH) SYCL_ESIMD_KERNEL {
+           uint32_t ArrayLen;
+           if constexpr (UseConstExpr) {
+             // This declaration masks the declaration of PrivateArrayLen on
+             // HOST.
+             ArrayLen = KH.get_specialization_constant<PrivateArrayLenSC>();
+           } else {
+             // Simply use PrivateArrayLen declared/initialized on HOST.
+             ArrayLen = PrivateArrayLen;
+           }
+           T *PrivateArray = (T *)__builtin_alloca_with_align(
+               sizeof(T) * ArrayLen, sizeof(T) * 8 * 16);
+
+           // Initialize private memory
+           for (int I = 0; I < ArrayLen; I++) {
+             simd<int, 1> IV(static_cast<int>(Id) * PrivateArrayLen + I);
+             simd<T, 1> TV = IV;
+             TV.template copy_to(PrivateArray + I);
+           }
+
+           simd<T, PrivateArrayLenConst> BigVec(PrivateArray);
+           BigVec.copy_to(DstAsIs + ArrayLen * Id);
+
+           // Check that scatter() works fine.
+           auto FirstNOdd = BigVec.template select<FirstN, 2>(1).read();
+           FirstNOdd = FirstNOdd + simd<T, FirstN>(TOne);
+           simd<int, FirstN> FirstNOddByteOffsets(sizeof(T), 2 * sizeof(T));
+           scatter(PrivateArray, FirstNOddByteOffsets, FirstNOdd);
+
+           simd<T, PrivateArrayLenConst> BigVecOddPlus1(PrivateArray);
+           BigVecOddPlus1.copy_to(DstOddPlus1 + ArrayLen * Id);
+
+           if constexpr (PrivateArrayLenConst > FirstN &&
+                         FirstN * sizeof(T) >= 16 &&
+                         FirstN * sizeof(T) <= 8 * 16) {
+             // Check that block_store() works fine.
+             BigVec.copy_to(PrivateArray);
+             simd<T, FirstN> BigVecFirstN = BigVec.template select<FirstN, 1>();
+             BigVecFirstN = BigVecFirstN * simd<T, FirstN>(TTen);
+             block_store(PrivateArray, BigVecFirstN);
+
+             simd<T, PrivateArrayLenConst> BigVecAfterBlockStore(PrivateArray);
+             BigVecAfterBlockStore.copy_to(DstAfterBlockStore + ArrayLen * Id);
+           }
+         });
+   }).wait();
+
+  for (int I = 0; I < Size; I++) {
+    T Expected = I;
+    if (DstAsIs[I] != Expected) {
+      std::cout << "Error/DstAsIs[" << I << "]: " << DstAsIs[I]
+                << " != " << Expected << "(Expected)" << std::endl;
+      return false;
+    }
+
+    int CurrentWI = I / PrivateArrayLenConst;
+    int IndexInWI = I - CurrentWI * PrivateArrayLenConst;
+
+    Expected = I;
+    if ((IndexInWI & 1) && IndexInWI < FirstN * 2)
+      Expected = I + 1;
+    if (DstOddPlus1[I] != Expected) {
+      std::cout << "Error/DstOddPlus1[" << I << "]: " << DstOddPlus1[I]
+                << " != " << Expected << "(Expected)" << std::endl;
+      return false;
+    }
+
+    if constexpr (PrivateArrayLenConst > FirstN && FirstN * sizeof(T) >= 16 &&
+                  FirstN * sizeof(T) <= 8 * 16) {
+      Expected = I;
+      if (IndexInWI < FirstN)
+        // Expected = I * I;
+        Expected = (T)I * TTen;
+      if (DstAfterBlockStore[I] != Expected) {
+        std::cout << "Error/DstAfterBlockStore[" << I
+                  << "]: " << DstAfterBlockStore[I] << " != " << Expected
+                  << "(Expected)" << std::endl;
+        return false;
+      }
+    }
+  }
+
+  return true;
+}
+
+template <typename T> bool tests(queue Q) {
+  constexpr bool UseSpecConst = true;
+
+  bool Passed = true;
+  Passed &= test<T, 32, 16, UseSpecConst>(Q, 32);
+  Passed &= test<T, 32, 8, !UseSpecConst>(Q, 32);
+
+  Passed &= test<T, 256, 32, UseSpecConst>(Q, 256);
+  Passed &= test<T, 256, 16, !UseSpecConst>(Q, 256);
+
+  return Passed;
+}
+
+int main() {
+  queue Q;
+  std::cout << "Running on " << Q.get_device().get_info<info::device::name>()
+            << "\n";
+
+  bool Passed = true;
+  Passed &= tests<int8_t>(Q);
+  Passed &= tests<short>(Q);
+  Passed &= tests<int>(Q);
+  Passed &= tests<int64_t>(Q);
+
+  Passed &= tests<float>(Q);
+  if (Q.get_device().has(sycl::aspect::fp16))
+    Passed &= tests<sycl::half>(Q);
+  if (Q.get_device().has(sycl::aspect::fp64))
+    Passed &= tests<double>(Q);
+
+    // TODO: GPU driver reports an error during JIT compilation.
+    //       Report and enable this case when driver is fixed.
+    // Passed &= tests<sycl::ext::oneapi::bfloat16>(Q);
+
+#ifdef TEST_TFLOAT32
+  Passed &= tests<sycl::ext::intel::experimental::esimd::tfloat32>(Q);
+#endif // TEST_TFLOAT32
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/private_memory/Inputs/pm_common.cpp b/sycl/test-e2e/ESIMD/private_memory/Inputs/pm_common.cpp
new file mode 100644
index 0000000000000..fbd46806bda68
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/private_memory/Inputs/pm_common.cpp
@@ -0,0 +1,189 @@
+//==--------------- pm_common.cpp - DPC++ ESIMD on-device test ------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// Since in ESIMD a single WI occupies entire underlying H/W thread, SYCL
+// private memory maps to what's known as 'thread private memory' in CM.
+// This test is intended to check TPM support implementation in ESIMD
+// backend. In order to force using of TPM need to allocate 96x32 bytes or more.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr unsigned VL = 8;
+constexpr unsigned SZ = 800; // big enough to use TPM
+
+template <int CASE_NUM>
+ESIMD_INLINE void work(int *o, int offx1, int offx2, int offy1, int offy2,
+                       int offz, int base1, int base2, int divisor) {
+  int x1[SZ];
+  for (int j = 0; j < SZ; ++j) {
+    int idx = (j + offx1) % SZ;
+    x1[idx] = (idx % 2) == 0 ? j : base1;
+  }
+
+  int x2[SZ];
+  for (int j = 0; j < SZ; ++j) {
+    int idx = (j + offx2) % SZ;
+    x2[idx] = base2 << (j % 32);
+  }
+
+  // some work with X1
+  for (int j = 1; j < SZ; ++j) {
+    if ((x1[j] + j) > base1)
+      x1[j] = (j * (x1[j] + x1[j - 1]) / divisor) - base2;
+  }
+
+  // some work with X2
+  for (int j = 1; j < SZ; ++j) {
+    if ((x2[j] + j) < base2)
+      x2[j] = (divisor * (x2[j] - x2[j - 1]) / j) + base1;
+  }
+
+  if constexpr (CASE_NUM == 1) {
+    for (int j = 0; j < SZ; ++j)
+      o[j % VL] += x1[j] - x2[j];
+  } else {
+    int *y1[SZ];
+    for (int j = 0; j < SZ; ++j) {
+      int idx = (j + offy1) % SZ;
+      y1[j] = j % 6 == 0 ? x1 + idx : x2 + idx;
+    }
+
+    int *y2[SZ];
+    for (int j = 0; j < SZ; ++j) {
+      int idx = (j + offy2) % SZ;
+      y2[j] = j % 2 == 0 ? x2 + idx : x1 + idx;
+    }
+
+    // some work with Y1
+    for (int j = 0; j < SZ; j += 2) {
+      if (*(y1[j]) > *(y1[j + 1]))
+        *(y1[j]) = *(y1[j + 1]) - *(y1[j]);
+    }
+
+    // some work with Y2
+    for (int j = 1; j < SZ - 1; j += 2) {
+      if ((*(y2[j]) <= *(y2[j + 1]))) {
+        auto temp = y2[j];
+        y2[j] = y2[j + 1];
+        y2[j + 1] = temp;
+      }
+    }
+
+    if constexpr (CASE_NUM == 2) {
+      for (int j = 0; j < SZ; ++j)
+        o[j % VL] += *(y1[j]) - *(y2[j]);
+    } else {
+      static_assert(CASE_NUM == 3, "invalid CASE_NUM");
+
+      int **z[SZ];
+      for (int j = 0; j < SZ; ++j) {
+        int idx = (j + offz) % SZ;
+        z[j] = y1 + idx;
+      }
+
+      // some work with Z
+      for (int j = 0; j < SZ - 1; ++j) {
+        if (*(*(z[j])) < *(*(z[j + 1])))
+          z[j] = y2 + j;
+        if (j % 18 == 0)
+          (*(*(z[j])))++;
+      }
+
+      for (int j = 0; j < SZ; ++j)
+        o[j % VL] += *(*(z[j]));
+    }
+  }
+}
+
+template <int CASE_NUM> class KernelID;
+
+template <int CASE_NUM> int test() {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  auto ctx = q.get_context();
+
+  int *output =
+      static_cast<int *>(sycl::malloc_shared(VL * sizeof(int), dev, ctx));
+  memset(output, 0, VL * sizeof(int));
+
+  int offx1 = 111;
+  int offx2 = 55;
+  int offy1 = 499;
+  int offy2 = 223;
+  int offz = 99;
+  int base1 = 500;
+  int base2 = 100;
+  int divisor = 4;
+
+  {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID<CASE_NUM>>(
+          sycl::range<1>{1}, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+
+            int o[VL] = {0};
+
+            work<CASE_NUM>(o, offx1, offx2, offy1, offy2, offz, base1, base2,
+                           divisor);
+
+            simd<int, VL> val(0);
+            for (int j = 0; j < VL; j++)
+              val.select<1, 1>(j) += o[j];
+
+            val.copy_to(output);
+          });
+    });
+    e.wait();
+  }
+
+  int o[VL] = {0};
+
+  work<CASE_NUM>(o, offx1, offx2, offy1, offy2, offz, base1, base2, divisor);
+
+  int err_cnt = 0;
+  for (int j = 0; j < VL; ++j)
+    if (output[j] != o[j])
+      err_cnt += 1;
+
+  sycl::free(output, ctx);
+
+  if (err_cnt > 0) {
+    std::cout << "FAILED.\n";
+    return 1;
+  }
+
+  std::cout << "Passed\n";
+  return 0;
+}
+
+int main(int argc, char **argv) {
+  if (argc != 2) {
+    std::cout << "Skipped! Specify case number" << std::endl;
+    return 1;
+  }
+
+  int case_num = atoi(argv[1]);
+  switch (case_num) {
+  case 1:
+    return test<1>();
+  case 2:
+    return test<2>();
+  case 3:
+    return test<3>();
+  }
+  std::cerr << "Invalid case number: " << case_num << "\n";
+  return 1;
+}
diff --git a/sycl/test-e2e/ESIMD/private_memory/pm_access_1.cpp b/sycl/test-e2e/ESIMD/private_memory/pm_access_1.cpp
new file mode 100644
index 0000000000000..3e1425bfd5e58
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/private_memory/pm_access_1.cpp
@@ -0,0 +1,14 @@
+//==--------------- pm_access_1.cpp - DPC++ ESIMD on-device test ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// Temporarily disabled due to flaky behavior
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -fsycl -Xs "-stateless-stack-mem-size=131072" -I%S/.. %S/Inputs/pm_common.cpp -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 1
diff --git a/sycl/test-e2e/ESIMD/private_memory/pm_access_2.cpp b/sycl/test-e2e/ESIMD/private_memory/pm_access_2.cpp
new file mode 100644
index 0000000000000..9b3bf9bf16f34
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/private_memory/pm_access_2.cpp
@@ -0,0 +1,14 @@
+//==--------------- pm_access_2.cpp - DPC++ ESIMD on-device test ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// Temporarily disabled due to flaky behavior
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -fsycl -Xs "-stateless-stack-mem-size=131072" -I%S/.. %S/Inputs/pm_common.cpp -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 2
diff --git a/sycl/test-e2e/ESIMD/private_memory/pm_access_3.cpp b/sycl/test-e2e/ESIMD/private_memory/pm_access_3.cpp
new file mode 100644
index 0000000000000..621f77df9deed
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/private_memory/pm_access_3.cpp
@@ -0,0 +1,14 @@
+//==--------------- pm_access_3.cpp - DPC++ ESIMD on-device test ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// Temporarily disabled due to flaky behavior
+// REQUIRES: TEMPORARY_DISABLED
+// RUN: %clangxx -fsycl -Xs "-stateless-stack-mem-size=131072" -I%S/.. %S/Inputs/pm_common.cpp -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 3
diff --git a/sycl/test-e2e/ESIMD/private_memory_pvc.cpp b/sycl/test-e2e/ESIMD/private_memory_pvc.cpp
new file mode 100644
index 0000000000000..b0a725a551c55
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/private_memory_pvc.cpp
@@ -0,0 +1,16 @@
+//==------------- private_memory_pvc.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test verifies that basic ESIMD API works properly with
+// private memory allocated on stack.
+
+#define TEST_TFLOAT32
+#include "private_memory.cpp"
diff --git a/sycl/test-e2e/ESIMD/radix_sort.cpp b/sycl/test-e2e/ESIMD/radix_sort.cpp
new file mode 100644
index 0000000000000..f445b07816df2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/radix_sort.cpp
@@ -0,0 +1,645 @@
+//==------------ radix_sort.cpp - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test implements parallel radix sort on GPU
+
+#include "esimd_test_utils.hpp"
+
+#include <algorithm>
+#include <iostream>
+#include <sycl/CL/sycl.hpp>
+#include <sycl/ext/intel/esimd.hpp>
+
+#define LOG2_ELEMENTS 20
+
+// the number of bits necessary for representing the radix R
+#define N_RADIX_BITS 4
+#define RADIX (1 << N_RADIX_BITS)
+#define N_WI 16 // number of work items
+#define N_ELEM 512
+#define N_ELEM_WI (N_ELEM / N_WI)
+#define LOCAL_SIZE 64
+
+#define MAX_TS_WIDTH 1024
+#define TUPLE_SZ 1 // kernel can only handle TUPLE_SZ can be 1, 2, 4
+
+#if TUPLE_SZ == 1
+#define GATHER_SCATTER_MASK rgba_channel_mask::R
+#elif TUPLE_SZ == 2
+#define GATHER_SCATTER_MASK rgba_channel_mask::GR
+#elif TUPLE_SZ == 4
+#define GATHER_SCATTER_MASK rgba_channel_mask::ABGR
+#endif
+
+#define LOG_ENTRIES 8
+#define PREFIX_ENTRIES (1 << LOG_ENTRIES)
+#define PREFIX_ENTRIES_LOW 32
+#define ENTRIES_THRESHOLD 2048
+#define MIN_NUM_THREADS 1
+#define REMAINING_ENTRIES 64
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+void compute_local_prefixsum(unsigned int prefixSum[], unsigned int size,
+                             unsigned elem_stride, unsigned thread_stride) {
+
+  unsigned entry_per_thread = thread_stride / elem_stride;
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += thread_stride) {
+    memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+    for (int i = 0; i < entry_per_thread; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] +=
+            prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+      }
+    }
+    // store local_sum in the last entry
+    memcpy(&prefixSum[(k + entry_per_thread * elem_stride - 1) * TUPLE_SZ],
+           local_sum, TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void compute_local_prefixsum_remaining(unsigned int prefixSum[],
+                                       unsigned int size,
+                                       unsigned elem_stride) {
+
+  unsigned local_sum[TUPLE_SZ];
+  memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+
+  for (int i = 0; i < size / elem_stride; i++) {
+    for (int j = 0; j < TUPLE_SZ; j++) {
+      local_sum[j] += prefixSum[((i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+    }
+    // update every elem_stride entry
+    memcpy(&prefixSum[((i + 1) * elem_stride - 1) * TUPLE_SZ], local_sum,
+           TUPLE_SZ * sizeof(unsigned));
+  }
+}
+
+void compute_prefixsum_up(unsigned int prefixSum[], unsigned int size,
+                          unsigned elem_stride, unsigned thread_stride) {
+  unsigned entry_per_thread = thread_stride / elem_stride;
+  unsigned local_sum[TUPLE_SZ];
+  for (unsigned k = 0; k < size; k += thread_stride) {
+    if (k == 0)
+      memset(local_sum, 0, TUPLE_SZ * sizeof(unsigned)); // init 0
+    else // get the last entry from previous chunk
+      memcpy(local_sum, &prefixSum[(k - 1) * TUPLE_SZ],
+             TUPLE_SZ * sizeof(unsigned));
+
+    // no need to update the last entry
+    // the last entry has the correct value computed by compute_local_prefixsum
+    for (int i = 0; i < entry_per_thread - 1; i++) {
+      for (int j = 0; j < TUPLE_SZ; j++) {
+        local_sum[j] +=
+            prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ + j];
+      }
+      memcpy(&prefixSum[(k + (i + 1) * elem_stride - 1) * TUPLE_SZ], local_sum,
+             TUPLE_SZ * sizeof(unsigned));
+    }
+  }
+}
+
+void compute_prefixsum(unsigned int input[], unsigned int prefixSum[],
+                       unsigned int size) {
+
+  for (int j = 0; j < TUPLE_SZ; j++) // init first entry
+    prefixSum[j] = input[j];
+
+  for (int i = 1; i < size; i++) {
+    for (int j = 0; j < TUPLE_SZ; j++) {
+      prefixSum[i * TUPLE_SZ + j] =
+          input[i * TUPLE_SZ + j] + prefixSum[(i - 1) * TUPLE_SZ + j];
+    }
+  }
+}
+
+void cmk_acum_iterative(unsigned *buf, unsigned h_pos,
+                        unsigned int stride_elems, unsigned int stride_threads,
+                        unsigned n_entries) {
+
+  simd<unsigned int, 32> element_offset(0, 1); // 0, 1, 2, ..., 31
+
+  // global offset for a thread
+  unsigned int global_offset = (h_pos * stride_threads * TUPLE_SZ);
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  element_offset =
+      (((element_offset + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  simd<unsigned int, 32 * TUPLE_SZ> S, T;
+
+#pragma unroll
+  for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+    S.select<32, TUPLE_SZ>(i) =
+        gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+  }
+
+#pragma unroll
+  for (int j = 1; j < n_entries / 32; j++) {
+    element_offset += (stride_elems * 32 * TUPLE_SZ) * sizeof(unsigned);
+#pragma unroll
+    for (unsigned int i = 0; i < TUPLE_SZ; i++) {
+      T.select<32, TUPLE_SZ>(i) =
+          gather<unsigned, 32>(buf, element_offset + i * sizeof(unsigned));
+    }
+    S += T;
+  }
+
+  auto cnt_table = S.bit_cast_view<unsigned int, 32, TUPLE_SZ>();
+  // sum reduction for each bin
+  cnt_table.select<16, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<16, 1, TUPLE_SZ, 1>(16, 0);
+  cnt_table.select<8, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<8, 1, TUPLE_SZ, 1>(8, 0);
+  cnt_table.select<4, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<4, 1, TUPLE_SZ, 1>(4, 0);
+  cnt_table.select<2, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<2, 1, TUPLE_SZ, 1>(2, 0);
+  cnt_table.select<1, 1, TUPLE_SZ, 1>(0, 0) +=
+      cnt_table.select<1, 1, TUPLE_SZ, 1>(1, 0);
+
+  simd<unsigned, 8> voff(0, 1);        // 0, 1, 2, 3
+  simd<ushort, 8> p = voff < TUPLE_SZ; // predicate
+  voff = (voff + (global_offset + stride_threads * TUPLE_SZ - TUPLE_SZ)) *
+         sizeof(unsigned);
+  scatter<unsigned, 8>(buf, voff, S.select<8, 1>(0), p);
+}
+
+// final reduction. One thread to compute prefix all remaining entries
+void cmk_acum_final(unsigned *buf, unsigned h_pos, unsigned int stride_elems,
+                    unsigned remaining) {
+  simd<unsigned, 32> elm32(0, 1);
+
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  simd<unsigned, 32> element_offset =
+      (((elm32 + 1) * stride_elems - 1) * TUPLE_SZ) * sizeof(unsigned);
+
+  simd<unsigned, 32 * TUPLE_SZ> S;
+  simd<unsigned, TUPLE_SZ> prev = 0;
+  for (unsigned i = 0; i < remaining; i += 32) {
+
+    simd<ushort, 32> p = elm32 < remaining;
+
+    S = gather_rgba<GATHER_SCATTER_MASK, unsigned int, 32>(buf, element_offset,
+                                                           p);
+
+    auto cnt_table = S.bit_cast_view<unsigned int, TUPLE_SZ, 32>();
+    cnt_table.column(0) += prev;
+#pragma unroll
+    for (unsigned j = 0; j < TUPLE_SZ; j++) {
+      // step 1
+      cnt_table.select<1, 1, 16, 2>(j, 1) +=
+          cnt_table.select<1, 1, 16, 2>(j, 0);
+      // step 2
+      cnt_table.select<1, 1, 8, 4>(j, 2) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      cnt_table.select<1, 1, 8, 4>(j, 3) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      // step 3
+      cnt_table.select<1, 1, 4, 1>(j, 4) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 3);
+      cnt_table.select<1, 1, 4, 1>(j, 12) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 11);
+      cnt_table.select<1, 1, 4, 1>(j, 20) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 19);
+      cnt_table.select<1, 1, 4, 1>(j, 28) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 27);
+      // step 4
+      cnt_table.select<1, 1, 8, 1>(j, 8) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 7);
+      cnt_table.select<1, 1, 8, 1>(j, 24) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 23);
+      // step 5
+      cnt_table.select<1, 1, 16, 1>(j, 16) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 16, 0>(j, 15);
+    }
+    scatter_rgba<GATHER_SCATTER_MASK, unsigned int, 32>(buf, element_offset, S,
+                                                        p);
+    elm32 += 32;
+    element_offset += stride_elems * TUPLE_SZ * sizeof(unsigned) * 32;
+    prev = cnt_table.column(31);
+  }
+}
+
+void cmk_prefix_iterative(unsigned *buf, unsigned h_pos,
+                          unsigned int stride_elems, unsigned stride_thread,
+                          unsigned n_entries) {
+  simd<unsigned, 32> elm32(0, 1);
+
+  unsigned global_offset = h_pos * stride_thread * TUPLE_SZ;
+
+  // element offsets for scattered read: [e0,e1,e2,...,e31] where e_i =
+  // global_offset + # prefix_entries + prefix_entries - 1;
+  simd<unsigned, 32> element_offset =
+      (((elm32 + 1) * stride_elems - 1) * TUPLE_SZ + global_offset) *
+      sizeof(unsigned);
+
+  // read the accumulated sum from its previous chunk
+  simd<unsigned, TUPLE_SZ> prev = 0;
+  if (h_pos == 0)
+    prev = 0;
+  else {
+    // WA gather does not take less than 8
+    // simd<unsigned, TUPLE_SZ> rd_off(0,1);  // 0, 1, 2, 3
+    simd<unsigned, 8> rd_off(0, 1);
+    rd_off += (global_offset - TUPLE_SZ);
+    simd<unsigned, 8> temp;
+    temp = gather<unsigned, 8>(buf, rd_off * sizeof(unsigned));
+    prev = temp.select<TUPLE_SZ, 1>(0);
+  }
+
+  simd<unsigned, 32 * TUPLE_SZ> S;
+  unsigned n_iter = n_entries / 32;
+  for (unsigned i = 0; i < n_iter; i++) {
+
+    S = gather_rgba<GATHER_SCATTER_MASK, unsigned int, 32>(buf, element_offset);
+
+    auto cnt_table = S.bit_cast_view<unsigned int, TUPLE_SZ, 32>();
+    cnt_table.column(0) += prev;
+#pragma unroll
+    for (unsigned j = 0; j < TUPLE_SZ; j++) {
+      // step 1
+      cnt_table.select<1, 1, 16, 2>(j, 1) +=
+          cnt_table.select<1, 1, 16, 2>(j, 0);
+      // step 2
+      cnt_table.select<1, 1, 8, 4>(j, 2) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      cnt_table.select<1, 1, 8, 4>(j, 3) += cnt_table.select<1, 1, 8, 4>(j, 1);
+      // step 3
+      cnt_table.select<1, 1, 4, 1>(j, 4) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 3);
+      cnt_table.select<1, 1, 4, 1>(j, 12) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 11);
+      cnt_table.select<1, 1, 4, 1>(j, 20) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 19);
+      cnt_table.select<1, 1, 4, 1>(j, 28) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 4, 0>(j, 27);
+      // step 4
+      cnt_table.select<1, 1, 8, 1>(j, 8) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 7);
+      cnt_table.select<1, 1, 8, 1>(j, 24) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 8, 0>(j, 23);
+      // step 5
+      cnt_table.select<1, 1, 16, 1>(j, 16) +=
+          cnt_table.replicate_vs_w_hs<1, 0, 16, 0>(j, 15);
+    }
+
+    // during reduction phase, we've already computed prefix sum and saved in
+    // the last entry. Here we avoid double counting the last entry
+    if (i == n_iter - 1)
+      cnt_table.column(31) -= cnt_table.column(30);
+
+    scatter_rgba<unsigned int, 32, GATHER_SCATTER_MASK>(buf, element_offset, S);
+
+    element_offset += stride_elems * TUPLE_SZ * sizeof(unsigned) * 32;
+    prev = cnt_table.column(31);
+  }
+}
+
+void hierarchical_prefix(queue &q, unsigned *buf, unsigned elem_stride,
+                         unsigned thrd_stride, unsigned n_entries,
+                         unsigned entry_per_th) {
+  if (n_entries <= REMAINING_ENTRIES) {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Accum_final>(
+          range<2>{1, 1} * range<2>{1, 1}, [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_acum_final(buf, it.get_id(0), elem_stride, n_entries);
+          });
+    });
+    return;
+  }
+
+  if (entry_per_th == PREFIX_ENTRIES) {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Accum_iterative1>(
+          range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+          [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_acum_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                               PREFIX_ENTRIES);
+          });
+    });
+  } else {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Accum_iterative2>(
+          range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+          [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_acum_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                               PREFIX_ENTRIES_LOW);
+          });
+    });
+  }
+
+  // if number of remaining entries <= 4K , each thread  accumulates smaller
+  // number of entries to keep EUs saturated
+  if (n_entries / entry_per_th > 4096)
+    hierarchical_prefix(q, buf, thrd_stride, thrd_stride * PREFIX_ENTRIES,
+                        n_entries / entry_per_th, PREFIX_ENTRIES);
+  else
+    hierarchical_prefix(q, buf, thrd_stride, thrd_stride * PREFIX_ENTRIES_LOW,
+                        n_entries / entry_per_th, PREFIX_ENTRIES_LOW);
+
+  if (entry_per_th == PREFIX_ENTRIES) {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Prefix_iterative1>(
+          range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+          [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_prefix_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                                 PREFIX_ENTRIES);
+          });
+    });
+  } else {
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Prefix_iterative2>(
+          range<2>{n_entries / entry_per_th, 1} * range<2>{1, 1},
+          [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_prefix_iterative(buf, it.get_id(0), elem_stride, thrd_stride,
+                                 PREFIX_ENTRIES_LOW);
+          });
+    });
+  }
+}
+
+//
+// This kerenel compute histogram value. Each workitem of N_WI computes its own
+// histograms each iteration N_RADIX_BITS bits are extracted. v is the value of
+// the extracted bits. Inc corresponding histogram entry, histogram[v]++ The
+// output hist, H(c, t, i), is laid out as SOA T: total HW threads t: thread id
+// i: work item
+// N_WI: number of WI per HW thread
+// H(c, t, i) = hist[c*T*N_WI + t*N_WI + i]
+// That is, histogram of Radix 0 are packed to the front
+//
+void cmk_radix_count(
+    unsigned *in,         // input keys
+    unsigned *hist,       // output of histogram
+    unsigned h_pos,       // thread id
+    unsigned w_radix_val, // number of elements of a radix value, i.e., T * N_WI
+    unsigned bit_pos)     // process bits <bit_pos, bit_pos + N_RADIX_BITS -1>
+{
+  unsigned int mask = (RADIX - 1) << bit_pos;
+
+  // each thread processes BASE_SZ elements
+  // the offset of the data chunk processed by this thread
+  unsigned int offset = (h_pos * N_ELEM);
+  simd<unsigned, N_WI> init(0, 1); // 0, 1, 2, ..., 31
+
+  // each WI process contiguous N_ELEM_WI elements
+  simd<unsigned, N_WI> elem_offset =
+      (init * N_ELEM_WI + offset) * sizeof(unsigned); // byte offset
+
+  simd<unsigned, RADIX *N_WI> V = 0;
+  auto counters = V.bit_cast_view<unsigned, RADIX, N_WI>();
+
+  // each WI process N_ELEM_WI. each iteration reads in 4 elements (gather_rgba)
+  for (int i = 0; i < N_ELEM_WI / 4; i++) {
+
+    // use gather_rgba. Each address reads 4 channels
+    simd<unsigned, 4 * N_WI> S;
+    S = gather_rgba<rgba_channel_mask::ABGR, unsigned int, N_WI>(in,
+                                                                 elem_offset);
+    auto g4 = S.bit_cast_view<unsigned, 4, N_WI>();
+
+#pragma unroll
+    for (int j = 0; j < 4; j++) {
+      simd<unsigned, N_WI> m = g4.row(j) & mask; // WA
+      simd<unsigned, N_WI> val = m >> bit_pos;
+      // simd<unsigned, N_WI> val = (g4.row(j) & mask) >> bit_pos;
+#pragma unroll
+      for (int k = 0; k < RADIX; k++) {
+        counters.row(k).merge(counters.row(k) + 1, val == k);
+      }
+    }
+    elem_offset += 4 * sizeof(unsigned); // byte offset
+  }
+
+  // write out counters
+#pragma unroll
+  for (int i = 0; i < RADIX; i++) {
+    block_store<unsigned, N_WI>(hist + i * w_radix_val + h_pos * N_WI,
+                                counters.row(i));
+  }
+}
+
+void cmk_radix_reorder(
+    unsigned *in,         // input that need to be reordered
+    unsigned *out,        // reordered output
+    unsigned *histogram,  // scanned histogram
+    unsigned h_pos,       // thread id
+    unsigned w_radix_val, // number of elements of a radix value, i.e., T * N_WI
+    unsigned bit_pos)     // process bits <bit_pos, bit_pos + N_RADIX_BITS -1>
+{
+
+  simd<unsigned, RADIX * N_WI> T;
+  auto H = T.bit_cast_view<unsigned, RADIX, N_WI>();
+  //
+  // read scanned hisogram data
+  //
+  unsigned offset = h_pos * N_WI;
+#pragma unroll
+  for (int i = 0; i < RADIX; i++) {
+    H.row(i) = block_load<unsigned, N_WI>(histogram + i * w_radix_val + offset);
+  }
+
+  simd<unsigned, N_WI> init(0, 1); // 0, 1, 2, ...,
+
+  unsigned int mask = (RADIX - 1) << bit_pos;
+
+  // each thread processes BASE_SZ elements
+  // the offset of the data chunk processed by this thread
+  offset = (h_pos * N_ELEM);
+
+  // each WI process contiguous N_ELEM_WI elements
+  simd<unsigned, N_WI> elem_offset =
+      (init * N_ELEM_WI + offset) * sizeof(unsigned); // byte offset
+
+  // each WI process N_ELEM_WI. each iteration reads in 4 elements (gather_rgba)
+  for (int i = 0; i < N_ELEM_WI / 4; i++) {
+    // use gather_rgba. Each address reads 4 channels
+    simd<unsigned, 4 * N_WI> S;
+    S = gather_rgba<rgba_channel_mask::ABGR, unsigned int, N_WI>(in,
+                                                                 elem_offset);
+    auto g4 = S.bit_cast_view<unsigned, 4, N_WI>();
+
+#pragma unroll
+    for (int j = 0; j < 4; j++) {
+      // each WI computes its radix value
+      simd<unsigned, N_WI> r = g4.row(j);
+      simd<unsigned, N_WI> m = (r & mask); // temp WA
+      simd<unsigned, N_WI> val = m >> bit_pos;
+      // simd<unsigned, N_WI> val = (g4.row(j) & mask) >> bit_pos;
+      // add init {0, 1, 2, ...} so each WI access its corresponding histogram
+      simd<unsigned, N_WI> idx = val * N_WI + init;
+      simd<unsigned, N_WI> pos;
+#pragma unroll
+      for (unsigned k = 0; k < N_WI; k++) {
+        // pos[k] = T[idx[k]]++;
+        unsigned t = idx[k];
+        unsigned p = T[t];
+        T.select<1, 1>(t) = p + 1;
+        pos.select<1, 1>(k) = p;
+      }
+      scatter<unsigned, N_WI>(out, pos * sizeof(unsigned), r);
+    }
+    elem_offset += 4 * sizeof(unsigned); // byte offset
+  }
+}
+
+void dump_local_thread(unsigned *buf, unsigned local_id, unsigned bit_pos) {
+  unsigned int mask = (RADIX - 1) << bit_pos;
+
+  std::cout << "Local ID " << local_id << std::endl;
+  for (int i = 0; i < N_WI; i++) {
+    std::cout << "  WI " << i << ": ";
+    for (int j = 0; j < N_ELEM / N_WI; j++) {
+      std::cout << buf[local_id * N_ELEM + i * (N_ELEM / N_WI) + j] << "("
+                << ((buf[local_id * N_ELEM + i * (N_ELEM / N_WI) + j] & mask) >>
+                    bit_pos)
+                << ") ";
+      if (j > 0 && (j + 1) % 10 == 0)
+        std::cout << " | ";
+    }
+    std::cout << std::endl;
+  }
+}
+
+void radix_sort(queue &q, unsigned *in, unsigned *out, unsigned size) {
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  //
+  // each HW thread process N_ELEM elements
+  // N_WI workitems generate histograms indepenently. Each WI generate RADIX
+  // histograms
+  //
+  unsigned int hist_sz = size / N_ELEM * N_WI * RADIX;
+  // we add 4 dwords (16 bytes) here
+  // the prefix sum algorithm is inclusive. e.g, [1, 2, 2, 3] --> [1, 3, 5, 8]
+  // Radix sort needs exclusive scan [1, 2, 2, 3] --> [0, 1, 3, 5]
+  // we add padding in the beginning and initialize it to zero [ 0, 1, 2, 2, 3]
+  // and then apply prefix scan to [1, 2, 2, 3] the end result is [0, 1, 3, 5,
+  // 8]. Reordering pass take [0, 1, 3, 5] by addjusting the starting histogram
+  // address We add 16-byte padding because block load requres oword (16-byte)
+  // alignment
+  unsigned int *histogram = static_cast<unsigned int *>(
+      malloc_shared((hist_sz + 4) * sizeof(unsigned int), dev, ctxt));
+  histogram[0] = histogram[1] = histogram[2] = histogram[3] =
+      0; // actually only need to init histogram[3]
+
+  // each iteration process N_RADIX_BITS; sorting 32 bits integer takes
+  // 32/N_RADIX_BITS iterations
+  for (int i = 0; i < 32 / N_RADIX_BITS; i++) {
+    std::cout << "iteration " << i << std::endl;
+
+    // init to zero for debugging. For final version, remove this
+    // memset(out, -1, sizeof(unsigned) * size);  // set to zero for debugging
+    // purpose
+
+    // histogram + 4 to skip padding
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Radix_Count>(
+          range<2>{size / N_ELEM, 1} * range<2>{1, 1},
+          [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_radix_count(in, histogram + 4, it.get_id(0),
+                            size / N_ELEM * N_WI, i * N_RADIX_BITS);
+          });
+    });
+    //
+    // scan histogram and compute prefix sum
+    //
+    hierarchical_prefix(q, histogram + 4, 1, PREFIX_ENTRIES, hist_sz,
+                        PREFIX_ENTRIES);
+    //
+    // reorder elements based on scanned histogram
+    //
+    // hitogram + 3 to get the exclusive prefix scan
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Radix_Reorder>(
+          range<2>{size / N_ELEM, 1} * range<2>{1, 1},
+          [=](item<2> it) SYCL_ESIMD_KERNEL {
+            cmk_radix_reorder(in, out, histogram + 3, it.get_id(0),
+                              size / N_ELEM * N_WI, i * N_RADIX_BITS);
+          });
+    });
+
+    //
+    // next iteration takes out buffer as input
+    //
+    std::swap(in, out);
+  }
+  q.wait();
+  free(histogram, ctxt);
+}
+
+//************************************
+// Demonstrate summation of arrays both in scalar on CPU and parallel on device
+//************************************
+int main(int argc, char *argv[]) {
+
+  unsigned int *pInputs;
+  unsigned log2_element = LOG2_ELEMENTS;
+  unsigned int size = 1 << log2_element;
+
+  cl::sycl::range<2> LocalRange{1, 1};
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler(),
+          property::queue::in_order());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  auto ctxt = q.get_context();
+
+  // allocate and initialized input
+  pInputs = static_cast<unsigned int *>(
+      malloc_shared(size * sizeof(unsigned int), dev, ctxt));
+  for (unsigned int i = 0; i < size; ++i) {
+    unsigned x;
+    x = rand();
+    if (i % 3 == 0)
+      x |= (rand() & 0xFF) << 16;
+    if (i % 4 == 0)
+      x |= (rand() & 0xFF) << 24;
+
+    pInputs[i] = x;
+  }
+  // sorting takes multiple iteration. Each iteration takes output of its
+  // previous iteation as input allocate a temp buf for alternating input and
+  // output
+  unsigned int *tmp_buf = static_cast<unsigned int *>(
+      malloc_shared(size * sizeof(unsigned int), dev, ctxt));
+
+  // allocate & compute expected result
+  unsigned int *pExpectOutputs =
+      static_cast<unsigned int *>(malloc(size * sizeof(unsigned int)));
+  memcpy(pExpectOutputs, pInputs, sizeof(unsigned int) * size);
+  std::sort(pExpectOutputs, pExpectOutputs + size);
+
+  radix_sort(q, pInputs, tmp_buf, size);
+
+  bool pass = memcmp(pInputs, pExpectOutputs, size * sizeof(unsigned int)) == 0;
+
+  for (int i = 0; i < size; i++) {
+    if (pInputs[i] != pExpectOutputs[i]) {
+      std::cout << " pInputs[" << i << "] is " << pInputs[i] << " execpted "
+                << pExpectOutputs[i] << std::endl;
+      break;
+    }
+  }
+  std::cout << "Radix Sort " << (pass ? "=> PASSED" : "=> FAILED") << std::endl
+            << std::endl;
+
+  free(pInputs, ctxt);
+  free(tmp_buf, ctxt);
+  free(pExpectOutputs);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/reduction.cpp b/sycl/test-e2e/ESIMD/reduction.cpp
new file mode 100644
index 0000000000000..226472a1225e5
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/reduction.cpp
@@ -0,0 +1,147 @@
+//==---------------- reduction.cpp  - DPC++ ESIMD on-device test
+//------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+typedef short TYPE;
+
+int main(void) {
+  constexpr unsigned InputSize = 32;
+  constexpr unsigned OutputSize = 4;
+  constexpr unsigned VL = 32;
+  constexpr unsigned GroupSize = 1;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  TYPE *A = malloc_shared<TYPE>(InputSize, q);
+  int *B = malloc_shared<int>(OutputSize, q);
+
+  for (unsigned i = 0; i < InputSize; ++i) {
+    if (i == 19) {
+      A[i] = 32767;
+    } else {
+      A[i] = i;
+    }
+  }
+
+  try {
+    range<1> GroupRange{InputSize / VL};
+    range<1> TaskRange{GroupSize};
+    nd_range<1> Range(GroupRange, TaskRange);
+
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          GroupRange * TaskRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+
+            simd<TYPE, VL> va;
+            va.copy_from(A + i * VL);
+            simd<int, OutputSize> vb;
+
+            vb[0] = reduce<int>(va, std::plus<>());
+            vb[1] = reduce<int>(va, std::multiplies<>());
+            vb[2] = hmax<int>(va);
+            vb[3] = hmin<int>(va);
+
+            vb.copy_to(B + i * VL);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    return 1;
+  }
+
+  auto compute_reduce_sum = [](TYPE A[InputSize]) -> int {
+    int retv = A[0];
+    for (int i = 1; i < InputSize; i++) {
+      retv += A[i];
+    }
+    return retv;
+  };
+
+  auto compute_reduce_prod = [](TYPE A[InputSize]) -> int {
+    int retv = A[0];
+    for (int i = 1; i < InputSize; i++) {
+      retv *= A[i];
+    }
+    return retv;
+  };
+
+  auto compute_reduce_max = [](TYPE A[InputSize]) -> int {
+    int retv = A[0];
+    for (int i = 1; i < InputSize; i++) {
+      if (A[i] > retv) {
+        retv = A[i];
+      }
+    }
+    return retv;
+  };
+
+  auto compute_reduce_min = [](TYPE A[InputSize]) -> int {
+    int retv = A[0];
+    for (int i = 1; i < InputSize; i++) {
+      if (A[i] < retv) {
+        retv = A[i];
+      }
+    }
+    return retv;
+  };
+
+  bool TestPass = true;
+  int ref = compute_reduce_sum(A);
+  if (B[0] != ref) {
+    std::cout << "Incorrect sum " << B[0] << ", expected " << ref << "\n";
+    TestPass = false;
+  }
+
+  ref = compute_reduce_prod(A);
+  if (B[1] != ref) {
+    std::cout << "Incorrect prod " << B[1] << ", expected " << ref << "\n";
+    TestPass = false;
+  }
+
+  ref = compute_reduce_max(A);
+  if (B[2] != ref) {
+    std::cout << "Incorrect max " << B[2] << ", expected " << ref << "\n";
+    TestPass = false;
+  }
+
+  ref = compute_reduce_min(A);
+  if (B[3] != ref) {
+    std::cout << "Incorrect min " << B[3] << ", expected " << ref << "\n";
+    TestPass = false;
+  }
+
+  free(A, q);
+  free(B, q);
+
+  if (!TestPass) {
+    std::cout << "Failed\n";
+    return 1;
+  }
+
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-esimd.cpp b/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-esimd.cpp
new file mode 100644
index 0000000000000..8053f6db9db9f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-esimd.cpp
@@ -0,0 +1,24 @@
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+static constexpr const int VL = 4;
+
+sycl::event add(size_t n, sycl::buffer<int, 1> &buf_a,
+                sycl::buffer<int, 1> &buf_b, sycl::buffer<int, 1> &buf_c,
+                sycl::queue &Q) {
+  auto E = Q.submit([&](sycl::handler &H) {
+    sycl::accessor acc_a{buf_a, H, sycl::read_only};
+    sycl::accessor acc_b{buf_b, H, sycl::read_only};
+    sycl::accessor acc_c{buf_c, H, sycl::write_only};
+
+    H.parallel_for(n, [=](sycl::id<1> i) SYCL_ESIMD_KERNEL {
+      using namespace sycl::ext::intel::esimd;
+      unsigned int offset = i * VL * sizeof(int);
+      simd<int, VL> va(acc_a, offset);
+      simd<int, VL> vb(acc_b, offset);
+      simd<int, VL> vc = va + vb;
+      vc.copy_to(acc_c, offset);
+    });
+  });
+  return E;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-sycl.cpp b/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-sycl.cpp
new file mode 100644
index 0000000000000..0eaf35299de5d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-sycl.cpp
@@ -0,0 +1,14 @@
+#include <sycl/sycl.hpp>
+
+sycl::event iota(size_t n, sycl::buffer<int, 1> &buf, sycl::queue &Q) {
+  auto HK = [&](sycl::handler &H) {
+    sycl::accessor acc_y{buf, H, sycl::write_only};
+    auto K = [=](sycl::id<1> id) {
+      int *y = acc_y.get_pointer();
+      size_t i = id.get(0);
+      y[i] = static_cast<int>(i);
+    };
+    H.parallel_for(n, K);
+  };
+  return Q.submit(HK);
+}
diff --git a/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-test.cpp b/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-test.cpp
new file mode 100644
index 0000000000000..532deeab29b1c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/Inputs/complex-lib-test.cpp
@@ -0,0 +1,56 @@
+#include <cstdio>
+#include <sycl/sycl.hpp>
+
+sycl::event iota(size_t n, sycl::buffer<int, 1> &d, sycl::queue &Q);
+sycl::event add(size_t n, sycl::buffer<int, 1> &buf_a,
+                sycl::buffer<int, 1> &buf_b, sycl::buffer<int, 1> &buf_c,
+                sycl::queue &Q);
+
+int main(int argc, char *argv[]) {
+  try {
+    size_t i;
+    size_t N = 1024;
+    sycl::device D(sycl::default_selector_v);
+    sycl::context Ctx(D);
+    sycl::queue Q(Ctx, D);
+
+    std::vector<int> A(N), B(N), C(N);
+    {
+      sycl::buffer<int, 1> buf_A(A.data(), N);
+      sycl::buffer<int, 1> buf_B(B.data(), N);
+      iota(N, buf_A, Q);
+      iota(N, buf_B, Q);
+    }
+
+    bool pass = true;
+    for (i = 0; i < 10; ++i) {
+      pass = pass && (A[i] == i);
+      pass = pass && (B[i] == i);
+    }
+
+    {
+      sycl::buffer<int, 1> buf_A(A.data(), N);
+      sycl::buffer<int, 1> buf_B(B.data(), N);
+      sycl::buffer<int, 1> buf_C(C.data(), N);
+      add(N, buf_A, buf_B, buf_C, Q);
+    }
+
+    for (i = 0; i < 10; ++i) {
+      pass = pass && (A[i] + B[i] == C[i]);
+    }
+
+    fprintf(stdout, "%s: %s\n", argv[0], pass ? "PASS" : "FAIL");
+  } catch (sycl::exception const &se) {
+    fprintf(stderr, "%s failed with %s (%d)\n", argv[0], se.what(),
+            se.code().value());
+
+    return 1;
+  } catch (std::exception const &e) {
+    fprintf(stderr, "failed with %s\n", e.what());
+    return 2;
+  } catch (...) {
+    fprintf(stderr, "failed\n");
+    return -1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/Inputs/dgetrf.hpp b/sycl/test-e2e/ESIMD/regression/Inputs/dgetrf.hpp
new file mode 100644
index 0000000000000..68a105c19e6e9
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/Inputs/dgetrf.hpp
@@ -0,0 +1,492 @@
+//==-------------- dgetrf.hpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This test checks the correctness of ESIMD program for batched LU
+// decomposition without pivoting. The program contains multiple branches
+// corresponding to LU input sizes; all internal functions are inlined.
+//
+#include <iostream>
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define ABS(x) ((x) >= 0 ? (x) : -(x))
+#define MIN(x, y) ((x) <= (y) ? (x) : (y))
+#define MAX(x, y) ((x) >= (y) ? (x) : (y))
+#define FP_RAND ((double)rand() / (double)RAND_MAX)
+
+#define OUTN(text, ...) fprintf(stderr, text, ##__VA_ARGS__)
+#define OUT(text, ...) OUTN(text "\n", ##__VA_ARGS__)
+
+#define CHECK(cmd, status)                                                     \
+  do {                                                                         \
+    cmd;                                                                       \
+    if (status) {                                                              \
+      OUT(#cmd " status: %d", status);                                         \
+      exit(1);                                                                 \
+    }                                                                          \
+  } while (0)
+#define FAILED(res, thresh) ((res) > (thresh) || (res) != (res))
+#define CHECK_AND_REPORT(test_desc, test_id, fail_cond, res, fail_cnt)         \
+  do {                                                                         \
+    if (fail_cond)                                                             \
+      fail_cnt++;                                                              \
+    OUT("Test (%s): " test_desc ". Result: %f. %s", test_id, res,              \
+        (fail_cond) ? "FAILED" : "PASSED");                                    \
+  } while (0)
+
+using namespace sycl;
+using namespace std;
+using namespace sycl::ext::intel::esimd;
+
+ESIMD_PRIVATE ESIMD_REGISTER(192) simd<double, 3 * 32 * 4> GRF;
+
+#define V(x, w, i) (x).template select<w, 1>(i)
+#define V1(x, i) V(x, 1, i)
+#define V8(x, i) V(x, 8, i)
+#define BCAST8(x, i) (x).template replicate_w<8, 1>(i)
+
+template <int M, int N, int K> ESIMD_INLINE void dgetrfnp_panel(int64_t *info) {
+  auto a = V(GRF, M * N, 0);
+
+  if (K % 8) {
+    simd_mask<8> mask = 1;
+    for (int k = 0; k < K % 8; k++)
+      V1(mask, k) = 0;
+
+    for (int k = K % 8; k < 8 && k < K + N; k++) {
+      auto ak = V(a, M, (k - K % 8) * M);
+      auto ak0 = V8(ak, K & (-8));
+
+      V1(mask, k) = 0;
+      if (ak0[k] != 0.0) {
+        // scal
+        double temp = 1.0 / ak0[k];
+        ak0.merge(ak0 * temp, mask);
+        for (int i = 8 + K & (-8); i < M; i += 8) {
+          V8(ak, i) *= temp;
+        }
+
+        // update
+        for (int j = k - K % 8 + 1; j < N; j++) {
+          auto aj = V(a, M, j * M);
+          auto aj0 = V8(aj, K & (-8));
+          auto temp = BCAST8(aj0, k);
+          aj0.merge(aj0 - temp * ak0, aj0, mask);
+          for (int i = 8 + K & (-8); i < M; i += 8) {
+            V8(aj, i) -= temp * V8(ak, i);
+          }
+        }
+      } else if (*info == 0) {
+        *info = K + k - K % 8 + 1;
+      }
+    }
+    for (int kk = 0; kk < N + K % 8 - 8; kk += 8) {
+      mask = 1;
+      for (int k = 0; k < 8 && kk + k < N + K % 8 - 8; k++) {
+        auto ak = V(a, M, (kk + k + 8 - K % 8) * M);
+        auto ak0 = V8(ak, kk + (K & (-8)) + 8);
+
+        V1(mask, k) = 0;
+        if (ak0[k] != 0.0) {
+          // scal
+          double temp = 1.0 / ak0[k];
+          ak0.merge(ak0 * temp, mask);
+          for (int i = 16 + (K & (-8)) + kk; i < M; i += 8) {
+            V8(ak, i) *= temp;
+          }
+
+          // update
+          for (int j = kk + k + 8 - K % 8 + 1; j < N; j++) {
+            auto aj = V(a, M, j * M);
+            auto aj0 = V8(aj, kk + (K & (-8)) + 8);
+            auto temp = BCAST8(aj0, k);
+            aj0.merge(aj0 - temp * ak0, aj0, mask);
+            for (int i = 16 + (K & (-8)) + kk; i < M; i += 8) {
+              V8(aj, i) -= temp * V8(ak, i);
+            }
+          }
+        } else if (*info == 0) {
+          *info = K + kk + k + 8 - K % 8 + 1;
+        }
+      }
+    }
+  } else {
+    for (int kk = 0; kk < N; kk += 8) {
+      simd_mask<8> mask = 1;
+      for (int k = 0; k < 8 && kk + k < N; k++) {
+        auto ak = V(a, M, (kk + k) * M);
+        auto ak0 = V8(ak, kk + K);
+
+        V1(mask, k) = 0;
+        if (ak0[k] != 0.0) {
+          // scal
+          double temp = 1.0 / ak0[k];
+          ak0.merge(ak0 * temp, mask);
+          for (int i = 8 + K + kk; i < M; i += 8) {
+            V8(ak, i) *= temp;
+          }
+
+          // update
+          for (int j = kk + k + 1; j < N; j++) {
+            auto aj = V(a, M, j * M);
+            auto aj0 = V8(aj, kk + K);
+            auto temp = BCAST8(aj0, k);
+            aj0.merge(aj0 - temp * ak0, aj0, mask);
+            for (int i = 8 + K + kk; i < M; i += 8) {
+              V8(aj, i) -= temp * V8(ak, i);
+            }
+          }
+        } else if (*info == 0) {
+          *info = K + kk + k + 1;
+        }
+      }
+    }
+  }
+}
+
+#ifndef USE_REF
+// A left-looking algorithm step
+// M, N - a panel size to be updated and factorized (M * N <= 64 * 6), must fit
+// into GRF K - an update rank P0=A[0:M,0:K] = column(F=A[0:K,0:K],
+// L=A[K:M,0:K]) - panel to update with P1=A[0:M,K:K+N] = column(U=A[0:K,K:K+N],
+// T=A[K:M,K:K+N]) - panel to be updated
+template <int M, int N, int K>
+ESIMD_INLINE void dgetrfnp_left_step(double *a, int64_t lda, int64_t *info) {
+  auto p1 = V(GRF, M * N, 0);
+  double *a1;
+  int i, j, k;
+
+  // load P1
+  for (j = 0, a1 = a + K * lda; j < N; j++, a1 += lda)
+    for (i = 0; i < M; i += 8) {
+      simd<double, 8> data;
+      data.copy_from(a1 + i);
+      V8(p1, j * M + i) = data;
+    }
+
+  if (K > 0) {
+    // (trsm) solve F*X=U for X, X overwrites U
+    // (gemm) update T=T-L*U
+    for (int kk = 0; kk < K; kk += 8) {
+      simd_mask<8> mask = 1;
+      simd<double, 8> a0k, aik;
+      for (k = 0; k < 8 && kk + k < K; k++) {
+        V1(mask, k) = 0;
+        simd<double, 8> data;
+        data.copy_from(a + kk + (kk + k) * lda);
+        V8(a0k, 0) = data;
+        for (j = 0; j < N; j++) {
+          auto aj = V(p1, M, j * M);
+          auto aj0 = V8(aj, kk);
+          auto temp = BCAST8(aj0, k);
+          aj0.merge(aj0 - temp * a0k, aj0, mask);
+        }
+      }
+      for (k = 0; k < 8 && kk + k < K; k++) {
+        for (i = kk + 8; i < M; i += 8) {
+          simd<double, 8> data;
+          data.copy_from(a + i + (kk + k) * lda);
+          V8(aik, 0) = data;
+          for (j = 0; j < N; j++) {
+            auto aj = V(p1, M, j * M);
+            auto aj0 = V8(aj, kk);
+            auto temp = BCAST8(aj0, k);
+            V8(aj, i) -= temp * aik;
+          }
+        }
+      }
+    }
+  }
+  // (getrf) factorize T=P*L*U
+  dgetrfnp_panel<M, N, K>(info);
+
+  // store P1
+  for (j = 0, a1 = a + K * lda; j < N; j++, a1 += lda)
+    for (i = 0; i < M; i += 8) {
+      simd<double, 8> vals = V8(p1, j * M + i);
+      vals.copy_to(a1 + i);
+    }
+}
+#endif // !USE_REF
+
+ESIMD_INLINE void dgetrfnp_esimd(int64_t m, int64_t n, double *a, int64_t lda,
+                                 int64_t *ipiv, int64_t *info) {
+  *info = 0;
+#if defined(USE_REF)
+  int i, j, k;
+  for (k = 0; k < MIN(m, n); k++) {
+    double temp = a[k + k * lda];
+    if (!(*info) && temp == 0.0)
+      *info = k + 1;
+    // scal
+    temp = 1.0 / temp;
+    for (i = k + 1; i < m; i++) {
+      a[i + k * lda] *= temp;
+    }
+    // update
+    for (j = k + 1; j < n; j++) {
+      temp = a[k + j * lda];
+      for (i = k + 1; i < m; i++) {
+        a[i + j * lda] -= temp * a[i + k * lda];
+      }
+    }
+  }
+#else  // defined(USE_REF)
+  if (m == 8) {
+    if (n == 8)
+      dgetrfnp_left_step<8, 8, 0>(a, lda, info);
+  } else if (m == 16) {
+    if (n == 8)
+      dgetrfnp_left_step<16, 8, 0>(a, lda, info);
+    else if (n == 16)
+      dgetrfnp_left_step<16, 16, 0>(a, lda, info);
+  } else if (m == 32) {
+    if (n == 8)
+      dgetrfnp_left_step<32, 8, 0>(a, lda, info);
+    else if (n == 12)
+      dgetrfnp_left_step<32, 12, 0>(a, lda, info);
+    else if (n == 16) {
+      dgetrfnp_left_step<32, 8, 0>(a, lda, info);
+      dgetrfnp_left_step<32, 8, 8>(a, lda, info);
+    } else if (n == 24) {
+      dgetrfnp_left_step<32, 8, 0>(a, lda, info);
+      dgetrfnp_left_step<32, 8, 8>(a, lda, info);
+      dgetrfnp_left_step<32, 8, 16>(a, lda, info);
+    } else if (n == 32) {
+      dgetrfnp_left_step<32, 8, 0>(a, lda, info);
+      dgetrfnp_left_step<32, 8, 8>(a, lda, info);
+      dgetrfnp_left_step<32, 8, 16>(a, lda, info);
+      dgetrfnp_left_step<32, 8, 24>(a, lda, info);
+    }
+  } else if (m == 64) {
+    if (n == 6)
+      dgetrfnp_left_step<64, 6, 0>(a, lda, info);
+    else if (n == 16) {
+      dgetrfnp_left_step<64, 6, 0>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 6>(a, lda, info);
+      dgetrfnp_left_step<64, 4, 12>(a, lda, info);
+    } else if (n == 32) {
+      dgetrfnp_left_step<64, 6, 0>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 6>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 12>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 18>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 24>(a, lda, info);
+      dgetrfnp_left_step<64, 2, 30>(a, lda, info);
+    } else if (n == 64) {
+      dgetrfnp_left_step<64, 6, 0>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 6>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 12>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 18>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 24>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 30>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 36>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 42>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 48>(a, lda, info);
+      dgetrfnp_left_step<64, 6, 54>(a, lda, info);
+      dgetrfnp_left_step<64, 4, 60>(a, lda, info);
+    }
+  }
+#endif // defined(USE_REF)
+}
+
+void dgetrfnp_batch_strided_c(queue &queue, int64_t m, int64_t n, double *a,
+                              int64_t lda, int64_t stride_a, int64_t *ipiv,
+                              int64_t stride_ipiv, int64_t batch,
+                              int64_t *info) {
+  auto device = queue.get_device();
+  auto context = queue.get_context();
+  int status;
+
+  CHECK(status = device.is_gpu(), !status);
+
+  double *a_gpu;
+  int64_t *ipiv_gpu;
+  int64_t *info_gpu;
+  CHECK(a_gpu = static_cast<double *>(
+            malloc_shared(stride_a * batch * sizeof(double), device, context)),
+        !a_gpu);
+  CHECK(ipiv_gpu = static_cast<int64_t *>(malloc_shared(
+            stride_ipiv * batch * sizeof(int64_t), device, context)),
+        !ipiv_gpu);
+  CHECK(info_gpu = static_cast<int64_t *>(
+            malloc_shared(batch * sizeof(int64_t), device, context)),
+        !info_gpu);
+
+  memcpy(a_gpu, a, stride_a * batch * sizeof(double));
+
+  sycl::nd_range<1> range(sycl::range<1>{static_cast<size_t>(batch)},
+                          sycl::range<1>{1});
+  try {
+    auto event = queue.submit([&](handler &cgh) {
+      cgh.parallel_for<class dgetrfnp_batch_strided>(
+          range, [=](nd_item<1> id) SYCL_ESIMD_KERNEL {
+            int i = id.get_global_id(0);
+            dgetrfnp_esimd(m, n, &a_gpu[i * stride_a], lda,
+                           &ipiv_gpu[i * stride_ipiv], &info_gpu[i]);
+          });
+    });
+    event.wait();
+  } catch (const sycl::exception &e) {
+    std::cout << "*** EXCEPTION caught: " << e.what() << "\n";
+    free(a_gpu, context);
+    free(ipiv_gpu, context);
+    free(info_gpu, context);
+    return;
+  }
+
+  memcpy(a, a_gpu, stride_a * batch * sizeof(double));
+  memcpy(ipiv, ipiv_gpu, stride_ipiv * batch * sizeof(int64_t));
+  memcpy(info, info_gpu, batch * sizeof(int64_t));
+
+  free(a_gpu, context);
+  free(ipiv_gpu, context);
+  free(info_gpu, context);
+}
+
+static void fp_init(int64_t m, int64_t n, double *a, int64_t lda) {
+  int64_t i, j;
+  for (j = 0; j < n; j++)
+    for (i = 0; i < m; i++)
+      a[i + j * lda] = 2.0 * FP_RAND - 1.0;
+}
+
+static void fp_copy(int64_t m, int64_t n, double *a, int64_t lda, double *b,
+                    int64_t ldb) {
+  int64_t i, j;
+  for (j = 0; j < n; j++)
+    for (i = 0; i < m; i++)
+      b[i + j * ldb] = a[i + j * lda];
+}
+
+static double fp_norm1(int64_t m, int64_t n, double *a, int64_t lda) {
+  double sum, value = 0.0;
+  int64_t i, j;
+  for (j = 0; j < n; j++) {
+    sum = 0.0;
+    for (i = 0; i < m; i++)
+      sum += ABS(a[i + j * lda]);
+    if (value < sum)
+      value = sum;
+  }
+  return value;
+}
+
+static int dgetrfnp_batch_strided_check(int64_t m, int64_t n, double *a_in,
+                                        double *a, int64_t lda,
+                                        int64_t stride_a, int64_t *ipiv,
+                                        int64_t stride_ipiv, int64_t batch,
+                                        int64_t *info) {
+  double thresh = 30.0;
+  int fail = 0;
+  int64_t i, j, k, l;
+  char label[1024];
+  unsigned char prec_b[] = {0, 0, 0, 0, 0, 0, 0xb0, 0x3c};
+  double res = 0.0, nrm = 0.0, ulp = *(double *)prec_b;
+  double *w = (double *)malloc(sizeof(double) * MAX(m * n, 1));
+
+  sprintf(label, "m=%ld, n=%ld, lda=%ld, batch=%ld", m, n, lda, batch);
+
+  for (k = 0; k < batch; k++) {
+    /* info == 0 */
+    CHECK_AND_REPORT("info == 0", label, info[k] != 0, (double)info[k], fail);
+
+    if (m > 0 && n > 0) {
+      /* | L U - A | / ( |A| n ulp ) */
+      memset(w, 0, sizeof(double) * m * n);
+      if (m < n) {
+        for (j = 0; j < n; j++)
+          for (i = 0; i <= j; i++)
+            w[i + j * m] = a[i + j * lda + k * stride_a];
+        for (i = m - 1; i >= 0; i--)
+          for (j = 0; j < n; j++)
+            for (l = 0; l < i; l++)
+              w[i + j * m] += a[i + l * lda + k * stride_a] * w[l + j * m];
+      } else {
+        for (j = 0; j < n; j++)
+          for (i = j; i < m; i++)
+            w[i + j * m] = a[i + j * lda + k * stride_a];
+        for (j = 0; j < n; j++)
+          w[j + j * m] = 1.0;
+        for (j = n - 1; j >= 0; j--)
+          for (i = 0; i < m; i++) {
+            w[i + j * m] *= a[j + j * lda + k * stride_a];
+            for (l = 0; l < j; l++)
+              w[i + j * m] += w[i + l * m] * a[l + j * lda + k * stride_a];
+          }
+      }
+      for (j = 0; j < n; j++)
+        for (i = 0; i < m; i++)
+          w[i + j * m] -= a_in[k * stride_a + i + j * lda];
+      res = fp_norm1(m, n, w, m);
+      nrm = fp_norm1(m, n, &a_in[k * stride_a], lda);
+      nrm *= (double)n * ulp;
+      res /= nrm > 0.0 ? nrm : ulp;
+      CHECK_AND_REPORT("| L U - A | / ( |A| n ulp )", label,
+                       FAILED(res, thresh), res, fail);
+    }
+  }
+
+  free(w);
+  return fail;
+}
+
+void dgetrfnp_batch_strided_c(int64_t m, int64_t n, double *a, int64_t lda,
+                              int64_t stride_a, int64_t *ipiv,
+                              int64_t stride_ipiv, int64_t batch,
+                              int64_t *info);
+
+int main(int argc, char *argv[]) {
+  queue queue((gpu_selector()));
+
+  if (!queue.get_device().has(aspect::fp64))
+    return 0;
+
+  int exit_status = 0;
+  int64_t m = 64, n = 64, lda = 64;
+  int64_t stride_a = lda * n, stride_ipiv = n;
+
+  srand(1);
+
+  for (int i = 1; i < argc; i++) {
+    int64_t batch = (int64_t)atoi(argv[i]);
+    batch = MAX(batch, 0);
+    int64_t a_count = MAX(stride_a * batch, 1);
+    int64_t ipiv_count = MAX(stride_ipiv * batch, 1);
+    int64_t info_count = MAX(batch, 1);
+    double *a = NULL, *a_copy = NULL;
+    int64_t *ipiv = NULL, *info = NULL;
+    CHECK(a = (double *)malloc(sizeof(double) * a_count), !a);
+    CHECK(a_copy = (double *)malloc(sizeof(double) * a_count), !a_copy);
+    CHECK(ipiv = (int64_t *)malloc(sizeof(int64_t) * ipiv_count), !ipiv);
+    CHECK(info = (int64_t *)malloc(sizeof(int64_t) * info_count), !info);
+
+    /* Initialize input data */
+    for (int64_t k = 0; k < batch; k++) {
+      fp_init(m, n, &a_copy[k * stride_a], lda);
+      fp_copy(m, n, &a_copy[k * stride_a], lda, &a[k * stride_a], lda);
+    }
+
+    /* Run the tested function */
+    dgetrfnp_batch_strided_c(queue, m, n, a, lda, stride_a, ipiv, stride_ipiv,
+                             batch, info);
+
+    /* Check that the computation completed successfully */
+    exit_status += dgetrfnp_batch_strided_check(m, n, a_copy, a, lda, stride_a,
+                                                ipiv, stride_ipiv, batch, info);
+
+    free(a);
+    free(a_copy);
+    free(ipiv);
+    free(info);
+  }
+  return exit_status;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/abs_fix_test.cpp b/sycl/test-e2e/ESIMD/regression/abs_fix_test.cpp
new file mode 100644
index 0000000000000..4eb9072eb4430
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/abs_fix_test.cpp
@@ -0,0 +1,90 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//==- abs_fix_test.cpp - Test for abs function -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <CL/sycl.hpp>
+#include <ext/intel/esimd.hpp>
+
+#include "../esimd_test_utils.hpp"
+
+using namespace sycl;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#define SIMD 16
+#define THREAD_NUM 512
+
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+int test_abs(sycl::queue q, int32_t test_value) {
+
+  shared_allocator<int32_t> allocator1(q);
+  shared_vector<int32_t> input(THREAD_NUM * SIMD, allocator1);
+
+  for (int i = 0; i < input.size(); ++i) {
+    input[i] = test_value;
+  }
+
+  shared_allocator<uint32_t> allocator0(q);
+  shared_vector<uint32_t> output(THREAD_NUM * SIMD, allocator0);
+  shared_vector<uint32_t> scalar_output(1, allocator0);
+
+  nd_range<1> Range((range<1>(THREAD_NUM)), (range<1>(SIMD)));
+  auto e = q.submit([&](handler &cgh) {
+    int32_t *in_ptr = input.data();
+    uint32_t *out_ptr = output.data();
+    uint32_t *scalar_ptr = scalar_output.data();
+    cgh.parallel_for(Range, [=](nd_item<1> it) SYCL_ESIMD_FUNCTION {
+      __ESIMD_NS::simd<int32_t, SIMD> input_load_vec;
+      input_load_vec.copy_from(in_ptr + it.get_global_id(0) * SIMD);
+
+      __ESIMD_NS::simd<uint32_t, SIMD> result;
+      __ESIMD_NS::simd<uint32_t, 1> scalar_result;
+      result = __ESIMD_NS::abs<uint32_t, int32_t, SIMD>(input_load_vec);
+      scalar_result = __ESIMD_NS::abs<uint32_t, int32_t, 1>(test_value);
+      result.copy_to(out_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_ptr);
+    });
+  });
+  e.wait();
+
+  if (scalar_output[0] != std::abs(test_value)) {
+    std::cout << "Test failed for scalar " << test_value << "." << std::endl;
+    return 1;
+  }
+  for (int i = 0; i < THREAD_NUM * SIMD; ++i) {
+    if (output[i] != std::abs(input[i])) {
+      std::cout << "Test failed for " << input[i] << "." << std::endl;
+      return 1;
+    }
+  }
+  return 0;
+}
+
+int main(int argc, char *argv[]) {
+  sycl::device dev{sycl::default_selector_v};
+  sycl::queue q{esimd_test::createQueuePropertyList(
+      dev.has(sycl::aspect::queue_profiling))};
+
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  int test_result = 0;
+  test_result |= test_abs(q, 0xFFFFFFFF);
+
+  if (!test_result) {
+    std::cout << "Pass" << std::endl;
+  }
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/atomic_update_test.cpp b/sycl/test-e2e/ESIMD/regression/atomic_update_test.cpp
new file mode 100644
index 0000000000000..6b4cd2e4419ae
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/atomic_update_test.cpp
@@ -0,0 +1,46 @@
+//==---------------- atomic_update_test.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This test checks regression in lsc_atomic_update
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../esimd_test_utils.hpp"
+
+#include <CL/sycl.hpp>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+
+int main() {
+  sycl::queue q{};
+  auto p_sync = malloc_shared<uint32_t>(1024, q);
+  p_sync[0] = 5;
+  p_sync[1] = 0;
+  q.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class reproducer>([=]() [[intel::sycl_explicit_simd]] {
+      uint32_t result =
+          sycl::ext::intel::experimental::esimd::lsc_atomic_update<
+              sycl::ext::intel::esimd::atomic_op::load, uint32_t, 1>(p_sync, 0,
+                                                                     1)[0];
+      sycl::ext::intel::experimental::esimd::lsc_atomic_update<
+          sycl::ext::intel::esimd::atomic_op::store, uint32_t, 1>(p_sync, 1,
+                                                                  result, 1);
+    });
+  });
+  q.wait();
+
+  bool passed = true;
+
+  passed &= p_sync[0] == p_sync[1];
+
+  std::cout << (passed ? "Test passed\n" : "Test FAILED\n");
+
+  free(p_sync, q);
+  return passed ? 0 : 1;
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/ESIMD/regression/big_const_initializer.cpp b/sycl/test-e2e/ESIMD/regression/big_const_initializer.cpp
new file mode 100644
index 0000000000000..3b2e1fd6d821a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/big_const_initializer.cpp
@@ -0,0 +1,97 @@
+//==---------- big_const_initializer.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks that ESIMD program with big constant initializer list can
+// compile and run correctly.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+#define SIMD_WIDTH 16
+
+#define N_SAMPLES (SIMD_WIDTH * 100)
+#define N_PRINT 20
+
+#define VAL1 0x9E3779B9
+#define VAL2 0xBB67AE85
+
+inline void foo(sycl::ext::intel::esimd::simd<std::uint32_t, 16> &k) {
+  sycl::ext::intel::esimd::simd<std::uint32_t, 16> k_add(
+      {VAL1, VAL2, VAL1, VAL2, VAL1, VAL2, VAL1, VAL2, VAL1, VAL2, VAL1, VAL2,
+       VAL1, VAL2, VAL1, VAL2});
+  k += k_add;
+}
+
+int main(int argc, char **argv) {
+  size_t nsamples = N_SAMPLES;
+  sycl::queue queue(esimd_test::ESIMDSelector,
+                    esimd_test::createExceptionHandler());
+
+  std::cout << "Running on "
+            << queue.get_device().get_info<sycl::info::device::name>()
+            << std::endl;
+  std::cout << "Driver version "
+            << queue.get_device().get_info<sycl::info::device::driver_version>()
+            << std::endl;
+
+  sycl::buffer<std::uint32_t, 1> r(sycl::range<1>{nsamples});
+
+  try {
+    queue.submit([&](sycl::handler &cgh) {
+      auto r_acc = r.template get_access<sycl::access::mode::write>(cgh);
+      cgh.parallel_for<class Test>(
+          sycl::range<1>{nsamples / SIMD_WIDTH},
+          [=](sycl::item<1> item) SYCL_ESIMD_KERNEL {
+            size_t id = item.get_id(0);
+            sycl::ext::intel::esimd::simd<std::uint32_t, 16> key(
+                {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1});
+            foo(key);
+            key.copy_to(r_acc, id * SIMD_WIDTH * sizeof(std::uint32_t));
+          });
+    });
+  } catch (const sycl::exception &e) {
+    std::cout << "*** EXCEPTION caught: " << e.what() << "\n";
+    return 1;
+  }
+  auto acc = r.template get_access<sycl::access::mode::read>();
+  for (int i = 0; i < N_PRINT; i++) {
+    std::cout << acc[i] << " ";
+  }
+  std::cout << std::endl;
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < nsamples; ++i) {
+    uint32_t gold = i % 2 == 0 ? VAL1 + 1 : VAL2 + 1;
+    uint32_t test = acc[i];
+    if (test != gold) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << test << " != " << gold
+                  << " (expected)"
+                  << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(nsamples - err_cnt) / (float)nsamples) * 100.0f
+              << "% (" << (nsamples - err_cnt) << "/" << nsamples << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/bit_shift_compilation_test.cpp b/sycl/test-e2e/ESIMD/regression/bit_shift_compilation_test.cpp
new file mode 100644
index 0000000000000..165bcdf05bc7b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/bit_shift_compilation_test.cpp
@@ -0,0 +1,165 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: esimd_emulator
+//==- bit_shift_compilation_test.cpp - Test for compilation of bit shift
+// functions -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <CL/sycl.hpp>
+#include <ext/intel/esimd.hpp>
+
+#include "../esimd_test_utils.hpp"
+
+using namespace cl::sycl;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#define SIMD 16
+#define THREAD_NUM 512
+#define TEST_VALUE 0x55555555
+
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+template <typename TRes, typename TArg1, typename TArg2,
+          class Sat = __ESIMD_NS::saturation_off_tag>
+int test(cl::sycl::queue q, TArg1 arg1, TArg2 arg2, TRes expected_shl,
+         TRes expected_shr, TRes expected_lsr, TRes expected_asr) {
+  shared_allocator<TArg1> allocator1(q);
+  shared_vector<TArg1> input(THREAD_NUM * SIMD, allocator1);
+
+  for (int i = 0; i < input.size(); ++i) {
+    input[i] = arg1;
+  }
+
+  shared_allocator<TRes> allocator0(q);
+  shared_vector<TRes> shl_output(THREAD_NUM * SIMD, allocator0);
+  shared_vector<TRes> shr_output(THREAD_NUM * SIMD, allocator0);
+  shared_vector<TRes> lsr_output(THREAD_NUM * SIMD, allocator0);
+  shared_vector<TRes> asr_output(THREAD_NUM * SIMD, allocator0);
+
+  shared_vector<TRes> scalar_shl_output(1, allocator0);
+  shared_vector<TRes> scalar_shr_output(1, allocator0);
+  shared_vector<TRes> scalar_lsr_output(1, allocator0);
+  shared_vector<TRes> scalar_asr_output(1, allocator0);
+
+  nd_range<1> Range((range<1>(THREAD_NUM)), (range<1>(SIMD)));
+  auto e = q.submit([&](handler &cgh) {
+    TArg1 *in_ptr = input.data();
+    TRes *shl_ptr = shl_output.data();
+    TRes *shr_ptr = shr_output.data();
+    TRes *lsr_ptr = lsr_output.data();
+    TRes *asr_ptr = asr_output.data();
+
+    TRes *scalar_shl_ptr = scalar_shl_output.data();
+    TRes *scalar_shr_ptr = scalar_shr_output.data();
+    TRes *scalar_lsr_ptr = scalar_lsr_output.data();
+    TRes *scalar_asr_ptr = scalar_asr_output.data();
+
+    cgh.parallel_for(Range, [=](nd_item<1> it) SYCL_ESIMD_FUNCTION {
+      Sat sat;
+
+      __ESIMD_NS::simd<TArg1, SIMD> input_vec;
+      input_vec.copy_from(in_ptr + it.get_global_id(0) * SIMD);
+
+      __ESIMD_NS::simd<TRes, 1> scalar_result;
+      __ESIMD_NS::simd<TRes, SIMD> result;
+
+      result = shl<TArg1>(input_vec, arg2, sat);
+      scalar_result = shl<TArg1>(arg1, arg2, sat);
+      result.copy_to(shl_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_shl_ptr);
+
+      result = shr<TArg1>(input_vec, arg2, sat);
+      scalar_result = shr<TArg1>(arg1, arg2, sat);
+      result.copy_to(shr_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_shr_ptr);
+
+      result = lsr<TArg1>(input_vec, arg2, sat);
+      scalar_result = lsr<TArg1>(arg1, arg2, sat);
+      result.copy_to(lsr_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_lsr_ptr);
+
+      result = asr<TArg1>(input_vec, arg2, sat);
+      scalar_result = asr<TArg1>(arg1, arg2, sat);
+      result.copy_to(asr_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_asr_ptr);
+    });
+  });
+  e.wait();
+
+  for (int i = 0; i < THREAD_NUM * SIMD; ++i) {
+    if (shl_output[i] ^ expected_shl || scalar_shl_output[0] ^ expected_shl) {
+      std::cout << "Test failed for shl test " << input[i] << "." << std::endl;
+      return 1;
+    }
+    if (shr_output[i] ^ expected_shr || scalar_shr_output[0] ^ expected_shr) {
+      std::cout << "Test failed for shr test " << input[i] << "." << std::endl;
+      return 1;
+    }
+    if (lsr_output[i] ^ expected_lsr || scalar_lsr_output[0] ^ expected_lsr) {
+      std::cout << "Test failed for lsr test " << input[i] << "." << std::endl;
+      return 1;
+    }
+    if (asr_output[i] ^ expected_asr || scalar_asr_output[0] ^ expected_asr) {
+      std::cout << "Test failed for asr test " << input[i] << "." << std::endl;
+      return 1;
+    }
+  }
+  return 0;
+}
+
+int main(int argc, char *argv[]) {
+  sycl::device dev{sycl::default_selector_v};
+  sycl::queue q{esimd_test::createQueuePropertyList(
+      dev.has(sycl::aspect::queue_profiling))};
+
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  int test_result = 0;
+
+  test_result |= test<uint32_t, uint32_t, int32_t>(
+      q, TEST_VALUE, 1, 0xAAAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+  test_result |= test<uint32_t, int32_t, int32_t>(
+      q, TEST_VALUE, 1, 0xAAAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+  test_result |= test<int32_t, uint32_t, int32_t>(
+      q, TEST_VALUE, 1, 0xAAAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+  test_result |= test<int32_t, int32_t, int32_t>(
+      q, TEST_VALUE, 1, 0xAAAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+
+  test_result |=
+      test<uint32_t, uint32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+          q, TEST_VALUE, 1, 0xAAAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+  test_result |=
+      test<uint32_t, int32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+          q, TEST_VALUE, 1, 0x7FFFFFFF, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+  test_result |=
+      test<int32_t, uint32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+          q, TEST_VALUE, 1, 0xAAAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+  test_result |= test<int32_t, int32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+      q, TEST_VALUE, 1, 0x7FFFFFFF, 0x2AAAAAAA, 0x2AAAAAAA, 0x2AAAAAAA);
+
+  test_result |= test<uint16_t, uint16_t, int32_t>(q, 0x8000, 1, 0x0, 0x4000,
+                                                   0x4000, 0x4000);
+  test_result |= test<uint32_t, int16_t, int32_t>(q, 0x8000, 1, 0x0, 0xFFFFC000,
+                                                  0xFFFFC000, 0xFFFFC000);
+
+  test_result |= test<uint16_t, uint16_t, int32_t>(q, 0x4000, 2, 0x0, 0x1000,
+                                                   0x1000, 0x1000);
+  test_result |= test<uint16_t, uint16_t, int32_t>(q, 0x7FFF, 2, 0xFFFC, 0x1FFF,
+                                                   0x1FFF, 0x1FFF);
+
+  if (!test_result) {
+    std::cout << "Pass" << std::endl;
+  }
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/complex-lib-lin.cpp b/sycl/test-e2e/ESIMD/regression/complex-lib-lin.cpp
new file mode 100644
index 0000000000000..d3405c8f65d30
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/complex-lib-lin.cpp
@@ -0,0 +1,38 @@
+// This test is intended to check a certain approach of compiling libraries and
+// application, when both regular SYCL and ESIMD are used.
+//
+// We used to have a bug, when under some circumstances compiler created empty
+// device images, but at the same time it stated that they contain some kernels.
+// More details can be found in intel/llvm#4927.
+//
+// REQUIRES: linux,gpu
+// UNSUPPORTED: cuda || hip || esimd_emulator
+// TODO: running non-ESIMD kernels on esimd_emulator backend.
+//
+// RUN: %clangxx -fsycl -fPIC -O3 %S/Inputs/complex-lib-sycl.cpp -c -o %t-lib-sycl.o
+// RUN: %clangxx -fsycl -fPIC -O3 %S/Inputs/complex-lib-esimd.cpp -c -o %t-lib-esimd.o
+// RUN: %clangxx -fsycl -fPIC -O3 %S/Inputs/complex-lib-test.cpp -c -o %t-test.o
+//
+// RUN: ar crsv %t-lib-sycl.a %t-lib-sycl.o
+// RUN: ar crsv %t-lib-esimd.a %t-lib-esimd.o
+//
+// One shared library is built using static libraries
+//
+// RUN: %clangxx -fsycl -shared %t-lib-sycl.a %t-lib-esimd.a \
+// RUN:  -fsycl-device-code-split=per_kernel -Wl,--whole-archive \
+// RUN:  %t-lib-sycl.a %t-lib-esimd.a -Wl,--no-whole-archive -Wl,-soname,%S -o %t-lib-a.so
+//
+// And another one is constructed directly from object files
+//
+// RUN: %clangxx -fsycl -shared %t-lib-sycl.o %t-lib-esimd.o \
+// RUN:  -fsycl-device-code-split=per_kernel -Wl,-soname,%S -o %t-lib-o.so
+//
+// RUN: %clangxx -fsycl %t-test.o %t-lib-a.so -o %t-a.run
+// RUN: %clangxx -fsycl %t-test.o %t-lib-o.so -o %t-o.run
+//
+// FIXME: is there better way to handle libraries loading than LD_PRELOAD?
+// There is no LIT substitution, which would point to a directory, where
+// temporary files are located. There is %T, but it is marked as "deprecated,
+// do not use"
+// RUN: %GPU_RUN_PLACEHOLDER LD_PRELOAD=%t-lib-a.so %t-a.run
+// RUN: %GPU_RUN_PLACEHOLDER LD_PRELOAD=%t-lib-o.so %t-o.run
diff --git a/sycl/test-e2e/ESIMD/regression/copyto_char_test.cpp b/sycl/test-e2e/ESIMD/regression/copyto_char_test.cpp
new file mode 100644
index 0000000000000..00017efe24211
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/copyto_char_test.cpp
@@ -0,0 +1,180 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==- copyto_char_test.cpp - Test for using copy_to to copy char buffers -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <memory>
+
+using namespace sycl::ext::intel::esimd;
+
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+using DataT = char;
+
+template <int NumElems, bool IsAcc, int ResultOffset = 0> int test_to_copy() {
+  sycl::queue queue;
+  constexpr int NumSelectedElems = NumElems / 3;
+  constexpr int Stride = 2;
+  constexpr int Offset = 6;
+
+  shared_allocator<DataT> allocator(queue);
+  shared_vector<DataT> result(NumElems + ResultOffset, allocator);
+  shared_vector<DataT> initial_ref_data(NumElems, allocator);
+  shared_vector<DataT> ref_data_for_fill(NumSelectedElems, allocator);
+
+  constexpr size_t value_for_increase_ref_data_for_fill = 50;
+  for (size_t i = 0; i < NumElems; ++i) {
+    initial_ref_data[i] = i + 1;
+  }
+  // We should have different values in the first reference data and in the
+  // second reference data.
+  for (size_t i = 0; i < NumSelectedElems; ++i) {
+    ref_data_for_fill[i] =
+        initial_ref_data[i] + value_for_increase_ref_data_for_fill;
+  }
+  if constexpr (IsAcc) {
+    sycl::buffer<DataT> output_buf(result.data() + ResultOffset,
+                                   result.size() - ResultOffset);
+    queue.submit([&](sycl::handler &cgh) {
+      DataT *init_ref_ptr = initial_ref_data.data();
+      DataT *ref_data_for_fill_ptr = ref_data_for_fill.data();
+      auto acc =
+          output_buf.template get_access<sycl::access::mode::read_write>(cgh);
+
+      cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+        simd<DataT, NumElems> src_simd_obj;
+        src_simd_obj.copy_from(init_ref_ptr);
+        simd<DataT, NumSelectedElems> dst_simd_obj;
+        dst_simd_obj.copy_from(ref_data_for_fill_ptr);
+        src_simd_obj.template select<NumSelectedElems, Stride>(Offset) =
+            dst_simd_obj;
+        src_simd_obj.copy_to(acc, 0);
+      });
+    });
+  } else {
+    queue.submit([&](sycl::handler &cgh) {
+      DataT *init_ref_ptr = initial_ref_data.data();
+      DataT *ref_data_for_fill_ptr = ref_data_for_fill.data();
+      DataT *const out_ptr = result.data() + ResultOffset;
+
+      cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+        simd<DataT, NumElems> src_simd_obj;
+        src_simd_obj.copy_from(init_ref_ptr);
+        simd<DataT, NumSelectedElems> dst_simd_obj;
+        dst_simd_obj.copy_from(ref_data_for_fill_ptr);
+        src_simd_obj.template select<NumSelectedElems, Stride>(Offset) =
+            dst_simd_obj;
+        src_simd_obj.copy_to(out_ptr);
+      });
+    });
+  }
+  queue.wait_and_throw();
+
+  std::vector<size_t> selected_indices;
+  // Collect the indexess that has been selected.
+  for (size_t i = Offset; i < Stride * NumSelectedElems + Offset; i += Stride) {
+    selected_indices.push_back(i);
+  }
+
+  // Push the largest value to avoid the following error: can't dereference
+  // out of range vector iterator.
+  selected_indices.push_back(std::numeric_limits<size_t>::max());
+  auto selected_indices_ptr = selected_indices.begin();
+
+  // Verify that values, that do not was selected has initial values.
+  for (size_t i = 0; i < NumElems; ++i) {
+    // If current index is less than selected index verify that this element
+    // hasn't been selected and changed.
+    if (i < *selected_indices_ptr) {
+      DataT expected = initial_ref_data[i];
+
+      DataT retrieved = result[i + ResultOffset];
+
+      if (expected != retrieved) {
+        std::cout << "Test failed, retrieved value: "
+                  << static_cast<int>(retrieved)
+                  << ", but expected: " << static_cast<int>(expected)
+                  << ", at index: " << i << std::endl;
+        return 1;
+      }
+    } else {
+
+      DataT expected = ref_data_for_fill[(i - Offset) / Stride];
+
+      DataT retrieved = result[i + ResultOffset];
+
+      if (expected != retrieved) {
+        std::cout << "Test failed, retrieved value: "
+                  << static_cast<int>(retrieved)
+                  << ", but expected: " << static_cast<int>(expected)
+                  << ", at index: " << i << std::endl;
+        return 1;
+      }
+      selected_indices_ptr++;
+    }
+  }
+
+  return 0;
+}
+
+int main() {
+  int test_result = 0;
+
+  test_result |= test_to_copy<16, false>();
+  test_result |= test_to_copy<32 + 8, false>();
+  test_result |= test_to_copy<32 + 10, false>();
+  test_result |= test_to_copy<10, false>();
+  test_result |= test_to_copy<8, false>();
+  test_result |= test_to_copy<7, false>();
+  test_result |= test_to_copy<15, false>();
+  test_result |= test_to_copy<32, false>();
+
+  test_result |= test_to_copy<16, true>();
+  test_result |= test_to_copy<32 + 8, true>();
+  test_result |= test_to_copy<32 + 10, true>();
+  test_result |= test_to_copy<10, true>();
+  test_result |= test_to_copy<8, true>();
+  test_result |= test_to_copy<7, true>();
+  test_result |= test_to_copy<15, true>();
+  test_result |= test_to_copy<32, true>();
+
+  test_result |= test_to_copy<16, false, 1>();
+  test_result |= test_to_copy<32 + 8, false, 1>();
+  test_result |= test_to_copy<32 + 10, false, 1>();
+  test_result |= test_to_copy<10, false, 1>();
+  test_result |= test_to_copy<8, false, 1>();
+  test_result |= test_to_copy<7, false, 1>();
+  test_result |= test_to_copy<15, false, 1>();
+  test_result |= test_to_copy<32, false, 1>();
+
+  test_result |= test_to_copy<16, true, 1>();
+  test_result |= test_to_copy<32 + 8, true, 1>();
+  test_result |= test_to_copy<32 + 10, true, 1>();
+  test_result |= test_to_copy<10, true, 1>();
+  test_result |= test_to_copy<8, true, 1>();
+  test_result |= test_to_copy<7, true, 1>();
+  test_result |= test_to_copy<15, true, 1>();
+  test_result |= test_to_copy<32, true, 1>();
+
+  if (!test_result) {
+    std::cout << "Test passed" << std::endl;
+  }
+
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/dgetrf.cpp b/sycl/test-e2e/ESIMD/regression/dgetrf.cpp
new file mode 100644
index 0000000000000..600f6bbc65a55
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/dgetrf.cpp
@@ -0,0 +1,20 @@
+//==-------------- dgetrf.cpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -I%S/.. -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 3 2 1
+//
+// This test checks the correctness of ESIMD program for batched LU
+// decomposition without pivoting. The program contains multiple branches
+// corresponding to LU input sizes; all internal functions are inlined.
+//
+
+#include "Inputs/dgetrf.hpp"
diff --git a/sycl/test-e2e/ESIMD/regression/dgetrf_8x8.cpp b/sycl/test-e2e/ESIMD/regression/dgetrf_8x8.cpp
new file mode 100644
index 0000000000000..183341b4504ca
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/dgetrf_8x8.cpp
@@ -0,0 +1,315 @@
+//==-------------- dgetrf.cpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -I%S/.. -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 1
+//
+// Reduced version of dgetrf.cpp - M = 8, N = 8, single batch.
+//
+#include <iostream>
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define ABS(x) ((x) >= 0 ? (x) : -(x))
+#define MIN(x, y) ((x) <= (y) ? (x) : (y))
+#define MAX(x, y) ((x) >= (y) ? (x) : (y))
+#define FP_RAND ((double)rand() / (double)RAND_MAX)
+
+#define OUTN(text, ...) fprintf(stderr, text, ##__VA_ARGS__)
+#define OUT(text, ...) OUTN(text "\n", ##__VA_ARGS__)
+
+#define CHECK(cmd, status)                                                     \
+  do {                                                                         \
+    cmd;                                                                       \
+    if (status) {                                                              \
+      OUT(#cmd " status: %d", status);                                         \
+      exit(1);                                                                 \
+    }                                                                          \
+  } while (0)
+#define FAILED(res, thresh) ((res) > (thresh) || (res) != (res))
+#define CHECK_AND_REPORT(test_desc, test_id, fail_cond, res, fail_cnt)         \
+  do {                                                                         \
+    if (fail_cond)                                                             \
+      fail_cnt++;                                                              \
+    OUT("Test (%s): " test_desc ". Result: %f. %s", test_id, res,              \
+        (fail_cond) ? "FAILED" : "PASSED");                                    \
+  } while (0)
+
+using namespace sycl;
+using namespace std;
+using namespace sycl::ext::intel::esimd;
+
+ESIMD_PRIVATE ESIMD_REGISTER(384) simd<double, 3 * 32 * 4> GRF;
+
+#define V(x, w, i) (x).template select<w, 1>(i)
+#define V1(x, i) V(x, 1, i)
+#define V8(x, i) V(x, 8, i)
+#define BCAST8(x, i) (x).template replicate_w<8, 1>(i)
+
+template <int M, int N, int K> ESIMD_INLINE void dgetrfnp_panel(int64_t *info) {
+  auto a = V(GRF, M * N, 0);
+  for (int kk = 0; kk < N; kk += 8) {
+    simd_mask<8> mask = 1;
+    for (int k = 0; k < 8 && kk + k < N; k++) {
+      auto ak = V(a, M, (kk + k) * M);
+      auto ak0 = V8(ak, kk + K);
+
+      V1(mask, k) = 0;
+      if (ak0[k] != 0.0) {
+        // scal
+        double temp = 1.0 / ak0[k];
+        ak0.merge(ak0 * temp, mask);
+        for (int i = 8 + K + kk; i < M; i += 8) {
+          V8(ak, i) *= temp;
+        }
+
+        // update
+        for (int j = kk + k + 1; j < N; j++) {
+          auto aj = V(a, M, j * M);
+          auto aj0 = V8(aj, kk + K);
+          auto temp = BCAST8(aj0, k);
+          aj0.merge(aj0 - temp * ak0, aj0, mask);
+          for (int i = 8 + K + kk; i < M; i += 8) {
+            V8(aj, i) -= temp * V8(ak, i);
+          }
+        }
+      } else if (*info == 0) {
+        *info = K + kk + k + 1;
+      }
+    }
+  }
+}
+
+// A left-looking algorithm step
+// M, N - a panel size to be updated and factorized (M * N <= 64 * 6), must fit
+// into GRF K - an update rank P0=A[0:M,0:K] = column(F=A[0:K,0:K],
+// L=A[K:M,0:K]) - panel to update with P1=A[0:M,K:K+N] = column(U=A[0:K,K:K+N],
+// T=A[K:M,K:K+N]) - panel to be updated
+template <int M, int N, int K>
+ESIMD_INLINE void dgetrfnp_left_step(double *a, int64_t lda, int64_t *info) {
+  auto p1 = V(GRF, M * N, 0);
+  double *a1;
+  int i, j, k;
+
+  // load P1
+  for (j = 0, a1 = a + K * lda; j < N; j++, a1 += lda)
+    for (i = 0; i < M; i += 8) {
+      simd<double, 8> data;
+      data.copy_from(a1 + i);
+      V8(p1, j * M + i) = data;
+    }
+  // (getrf) factorize T=P*L*U
+  dgetrfnp_panel<M, N, K>(info);
+
+  // store P1
+  for (j = 0, a1 = a + K * lda; j < N; j++, a1 += lda)
+    for (i = 0; i < M; i += 8) {
+      simd<double, 8> vals = V8(p1, j * M + i);
+      vals.copy_to(a1 + i);
+    }
+}
+
+ESIMD_INLINE void dgetrfnp_esimd_8x8(double *a, int64_t lda, int64_t *ipiv,
+                                     int64_t *info) {
+  *info = 0;
+  dgetrfnp_left_step<8, 8, 0>(a, lda, info);
+}
+
+void dgetrfnp_batch_strided_c(queue &queue, int64_t m, int64_t n, double *a,
+                              int64_t lda, int64_t stride_a, int64_t *ipiv,
+                              int64_t stride_ipiv, int64_t batch,
+                              int64_t *info) {
+  auto device = queue.get_device();
+  auto context = queue.get_context();
+  int status;
+
+  CHECK(status = device.is_gpu(), !status);
+
+  double *a_gpu;
+  int64_t *ipiv_gpu;
+  int64_t *info_gpu;
+  CHECK(a_gpu = static_cast<double *>(
+            malloc_shared(stride_a * batch * sizeof(double), device, context)),
+        !a_gpu);
+  CHECK(ipiv_gpu = static_cast<int64_t *>(malloc_shared(
+            stride_ipiv * batch * sizeof(int64_t), device, context)),
+        !ipiv_gpu);
+  CHECK(info_gpu = static_cast<int64_t *>(
+            malloc_shared(batch * sizeof(int64_t), device, context)),
+        !info_gpu);
+
+  memcpy(a_gpu, a, stride_a * batch * sizeof(double));
+
+  sycl::nd_range<1> range(sycl::range<1>{static_cast<size_t>(batch)},
+                          sycl::range<1>{1});
+  try {
+    auto event = queue.submit([&](handler &cgh) {
+      cgh.parallel_for<class dgetrfnp_batch_strided>(
+          range, [=](nd_item<1> id) SYCL_ESIMD_KERNEL {
+            int i = id.get_global_id(0);
+            dgetrfnp_esimd_8x8(&a_gpu[i * stride_a], lda,
+                               &ipiv_gpu[i * stride_ipiv], &info_gpu[i]);
+          });
+    });
+    event.wait();
+  } catch (const sycl::exception &e) {
+    std::cout << "*** EXCEPTION caught: " << e.what() << "\n";
+    free(a_gpu, context);
+    free(ipiv_gpu, context);
+    free(info_gpu, context);
+    return;
+  }
+
+  memcpy(a, a_gpu, stride_a * batch * sizeof(double));
+  memcpy(ipiv, ipiv_gpu, stride_ipiv * batch * sizeof(int64_t));
+  memcpy(info, info_gpu, batch * sizeof(int64_t));
+
+  free(a_gpu, context);
+  free(ipiv_gpu, context);
+  free(info_gpu, context);
+}
+
+static void fp_init(int64_t m, int64_t n, double *a, int64_t lda) {
+  int64_t i, j;
+  for (j = 0; j < n; j++)
+    for (i = 0; i < m; i++)
+      a[i + j * lda] = 2.0 * FP_RAND - 1.0;
+}
+
+static void fp_copy(int64_t m, int64_t n, double *a, int64_t lda, double *b,
+                    int64_t ldb) {
+  int64_t i, j;
+  for (j = 0; j < n; j++)
+    for (i = 0; i < m; i++)
+      b[i + j * ldb] = a[i + j * lda];
+}
+
+static double fp_norm1(int64_t m, int64_t n, double *a, int64_t lda) {
+  double sum, value = 0.0;
+  int64_t i, j;
+  for (j = 0; j < n; j++) {
+    sum = 0.0;
+    for (i = 0; i < m; i++)
+      sum += ABS(a[i + j * lda]);
+    if (value < sum)
+      value = sum;
+  }
+  return value;
+}
+
+static int dgetrfnp_batch_strided_check(int64_t m, int64_t n, double *a_in,
+                                        double *a, int64_t lda,
+                                        int64_t stride_a, int64_t *ipiv,
+                                        int64_t stride_ipiv, int64_t batch,
+                                        int64_t *info) {
+  double thresh = 30.0;
+  int fail = 0;
+  int64_t i, j, k, l;
+  char label[1024];
+  unsigned char prec_b[] = {0, 0, 0, 0, 0, 0, 0xb0, 0x3c};
+  double res = 0.0, nrm = 0.0, ulp = *(double *)prec_b;
+  double *w = (double *)malloc(sizeof(double) * MAX(m * n, 1));
+
+  sprintf(label, "m=%ld, n=%ld, lda=%ld, batch=%ld", m, n, lda, batch);
+
+  for (k = 0; k < batch; k++) {
+    /* info == 0 */
+    CHECK_AND_REPORT("info == 0", label, info[k] != 0, (double)info[k], fail);
+
+    if (m > 0 && n > 0) {
+      /* | L U - A | / ( |A| n ulp ) */
+      memset(w, 0, sizeof(double) * m * n);
+      if (m < n) {
+        for (j = 0; j < n; j++)
+          for (i = 0; i <= j; i++)
+            w[i + j * m] = a[i + j * lda + k * stride_a];
+        for (i = m - 1; i >= 0; i--)
+          for (j = 0; j < n; j++)
+            for (l = 0; l < i; l++)
+              w[i + j * m] += a[i + l * lda + k * stride_a] * w[l + j * m];
+      } else {
+        for (j = 0; j < n; j++)
+          for (i = j; i < m; i++)
+            w[i + j * m] = a[i + j * lda + k * stride_a];
+        for (j = 0; j < n; j++)
+          w[j + j * m] = 1.0;
+        for (j = n - 1; j >= 0; j--)
+          for (i = 0; i < m; i++) {
+            w[i + j * m] *= a[j + j * lda + k * stride_a];
+            for (l = 0; l < j; l++)
+              w[i + j * m] += w[i + l * m] * a[l + j * lda + k * stride_a];
+          }
+      }
+      for (j = 0; j < n; j++)
+        for (i = 0; i < m; i++)
+          w[i + j * m] -= a_in[k * stride_a + i + j * lda];
+      res = fp_norm1(m, n, w, m);
+      nrm = fp_norm1(m, n, &a_in[k * stride_a], lda);
+      nrm *= (double)n * ulp;
+      res /= nrm > 0.0 ? nrm : ulp;
+      CHECK_AND_REPORT("| L U - A | / ( |A| n ulp )", label,
+                       FAILED(res, thresh), res, fail);
+    }
+  }
+
+  free(w);
+  return fail;
+}
+
+int main(int argc, char *argv[]) {
+  queue queue((gpu_selector()));
+
+  if (!queue.get_device().has(aspect::fp64))
+    return 0;
+
+  int exit_status = 0;
+  constexpr int64_t m = 8, n = 8, lda = 8;
+  int64_t stride_a = lda * n, stride_ipiv = n;
+
+  srand(1);
+
+  for (int i = 1; i < argc; i++) {
+    int64_t batch = (int64_t)atoi(argv[i]);
+    batch = MAX(batch, 0);
+    int64_t a_count = MAX(stride_a * batch, 1);
+    int64_t ipiv_count = MAX(stride_ipiv * batch, 1);
+    int64_t info_count = MAX(batch, 1);
+    double *a = NULL, *a_copy = NULL;
+    int64_t *ipiv = NULL, *info = NULL;
+    CHECK(a = (double *)malloc(sizeof(double) * a_count), !a);
+    CHECK(a_copy = (double *)malloc(sizeof(double) * a_count), !a_copy);
+    CHECK(ipiv = (int64_t *)malloc(sizeof(int64_t) * ipiv_count), !ipiv);
+    CHECK(info = (int64_t *)malloc(sizeof(int64_t) * info_count), !info);
+
+    /* Initialize input data */
+    for (int64_t k = 0; k < batch; k++) {
+      fp_init(m, n, &a_copy[k * stride_a], lda);
+      fp_copy(m, n, &a_copy[k * stride_a], lda, &a[k * stride_a], lda);
+    }
+
+    /* Run the tested function */
+    dgetrfnp_batch_strided_c(queue, m, n, a, lda, stride_a, ipiv, stride_ipiv,
+                             batch, info);
+
+    /* Check that the computation completed successfully */
+    exit_status += dgetrfnp_batch_strided_check(m, n, a_copy, a, lda, stride_a,
+                                                ipiv, stride_ipiv, batch, info);
+
+    free(a);
+    free(a_copy);
+    free(ipiv);
+    free(info);
+  }
+  return exit_status;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/dgetrf_ref.cpp b/sycl/test-e2e/ESIMD/regression/dgetrf_ref.cpp
new file mode 100644
index 0000000000000..5304d4c70fa91
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/dgetrf_ref.cpp
@@ -0,0 +1,20 @@
+//==-------------- dgetrf_ref.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -DUSE_REF %s -I%S/.. -o %t.ref.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.ref.out 3 2 1
+//
+// This test checks the correctness of ESIMD program for batched LU
+// decomposition without pivoting. The program contains multiple branches
+// corresponding to LU input sizes; all internal functions are inlined.
+//
+
+#include "Inputs/dgetrf.hpp"
diff --git a/sycl/test-e2e/ESIMD/regression/double_conversion.cpp b/sycl/test-e2e/ESIMD/regression/double_conversion.cpp
new file mode 100644
index 0000000000000..bad440f9d8169
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/double_conversion.cpp
@@ -0,0 +1,83 @@
+//==--- double_conversion.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This is basic test for testing conversion between double and unsigned int.
+
+// REQUIRES: gpu, aspect-fp64
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <typeinfo>
+
+namespace esimd = sycl::ext::intel::esimd;
+template <typename T> int test(sycl::queue queue, double TestValue) {
+  double input = TestValue;
+  T output = 0;
+  const T expected =
+      static_cast<T>(input); // exact values can be stored in double type, no
+                             // implementation-defined rounding here
+
+  // Call simd conversion constructor
+  // Expectation: data not changed
+  {
+    sycl::range<1> range(1);
+    sycl::buffer<double, 1> buffer_in(&input, range);
+    sycl::buffer<T, 1> buffer_out(&output, range);
+
+    queue
+        .submit([&](sycl::handler &cgh) {
+          const auto in = buffer_in.get_access<sycl::access_mode::read,
+                                               sycl::target::device>(cgh);
+          const auto out =
+              buffer_out.template get_access<sycl::access_mode::write,
+                                             sycl::target::device>(cgh);
+
+          cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+            esimd::simd<double, 1> source;
+            source.copy_from(in, 0);
+
+            esimd::simd<T, 1> destination(source);
+            destination.copy_to(out, 0);
+          });
+        })
+        .wait_and_throw();
+  }
+
+  std::cout << " Expected value: " << expected << "\n";
+  std::cout << " Retrieved value: " << output << "\n";
+
+  if (output == expected) {
+    std::cout << "Test SUCCEED\n";
+    return 0;
+  } else {
+    std::cout << "Test FAILED\n";
+    return 1;
+  }
+}
+
+int main(int, char **) {
+  sycl::queue queue;
+
+  auto dev = queue.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  int test_result = 0;
+
+  test_result |= test<unsigned int>(queue, 2147483647);
+  test_result |= test<unsigned int>(queue, 2147483647UL + 1);
+  test_result |= test<unsigned int>(queue, 4294967295);
+
+  test_result |= test<int>(queue, 2147483647);
+
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/fmod_compatibility_test.cpp b/sycl/test-e2e/ESIMD/regression/fmod_compatibility_test.cpp
new file mode 100644
index 0000000000000..9d86b1477513a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/fmod_compatibility_test.cpp
@@ -0,0 +1,99 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO online compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==- fmod_compatibility_test.cpp - Test for compatibility with std::fmod -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cmath>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/esimd/simd.hpp>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+constexpr auto sycl_write = sycl::access::mode::write;
+#define SIMD 16
+
+int test_fmod(float x, float y) {
+  std::vector<float> out(SIMD);
+
+  float ha = x;
+  float hb = y;
+  float scalar_result = 0;
+
+  {
+    sycl::queue queue;
+
+    sycl::buffer<float, 1> vector_buffer(out.data(), out.size());
+    sycl::buffer<float, 1> scalar_buffer(&scalar_result, sycl::range<1>(1));
+
+    auto e = queue.submit([&](sycl::handler &cgh) {
+      sycl::accessor<float, 1, sycl_write> vector_out =
+          vector_buffer.get_access<sycl_write>(cgh);
+      sycl::accessor<float, 1, sycl_write> scalar_out =
+          scalar_buffer.get_access<sycl_write>(cgh);
+
+      auto kernel = ([=]() [[intel::sycl_explicit_simd]] {
+        using namespace sycl::ext::intel::esimd;
+
+        simd<float, SIMD> a = ha;
+        simd<float, SIMD> b = hb;
+
+        simd<float, SIMD> vector_result =
+            sycl::ext::intel::experimental::esimd::fmod(a, b);
+        simd<float, 1> scalar_result =
+            sycl::ext::intel::experimental::esimd::fmod(ha, hb);
+
+        vector_result.copy_to(vector_out, 0);
+        scalar_result.copy_to(scalar_out, 0);
+      });
+
+      cgh.single_task<class Reduction>(kernel);
+    });
+    queue.wait();
+  }
+
+  float mod = std::fmod(ha, hb);
+
+  if (mod != out[0] || std::signbit(mod) != std::signbit(out[0])) {
+    std::cout << "Vector test failed for " << x << " and " << y << "."
+              << std::endl;
+    return 1;
+  }
+
+  if (mod != scalar_result ||
+      std::signbit(mod) != std::signbit(scalar_result)) {
+    std::cout << "Scalar test failed for " << x << " and " << y << "."
+              << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
+
+int main() {
+
+  int test_result = 0;
+  test_result |= test_fmod(49152 * 1364.0f + 626.0f, 509);
+  test_result |= test_fmod(+5.1f, +3.0f);
+  test_result |= test_fmod(-5.1f, +3.0f);
+  test_result |= test_fmod(+5.1f, -3.0f);
+  test_result |= test_fmod(-5.1f, -3.0f);
+  test_result |= test_fmod(+0.0f, 1.0f);
+  test_result |= test_fmod(-0.0f, 1.0f);
+
+  if (!test_result) {
+    std::cout << "Pass" << std::endl;
+  }
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/globals.cpp b/sycl/test-e2e/ESIMD/regression/globals.cpp
new file mode 100644
index 0000000000000..8b855b2f6e03e
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/globals.cpp
@@ -0,0 +1,178 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO: esimd_emulator fails due to unimplemented sub-group support
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks loads from SPIRV builtin globals work correctly in ESIMD.
+
+#include <cstdint>
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <int Dim> id<Dim> asId(range<Dim> V) {
+  if constexpr (Dim == 1)
+    return id<1>{V[0]};
+  if constexpr (Dim == 2)
+    return id<2>{V[1], V[0]};
+  if constexpr (Dim == 3)
+    return id<3>{V[2], V[1], V[0]};
+}
+
+template <int Dim>
+std::ostream &operator<<(std::ostream &OS, const id<Dim> &V) {
+  OS << "{";
+  if constexpr (Dim >= 3)
+    OS << V[2] << ", ";
+  if constexpr (Dim >= 2)
+    OS << V[1] << ", ";
+  OS << V[0] << "}";
+  return OS;
+}
+
+template <int Dim>
+std::ostream &operator<<(std::ostream &OS, const range<Dim> &V) {
+  return OS << asId(V);
+}
+
+// Returns true if the test passed, false otherwise.
+template <typename T1, typename T2>
+bool check(std::string VarName, T1 Expected, T2 Computed, size_t I) {
+  if (Computed != Expected) {
+    std::cerr << "Error: " << VarName << "[" << I << "]: expected: {"
+              << Expected << ", computed: " << Computed << std::endl;
+    return false;
+  }
+  return true;
+}
+
+template <int Dim> id<Dim> zeroId() {
+  if constexpr (Dim == 1)
+    return id<Dim>{0};
+  if constexpr (Dim == 2)
+    return id<Dim>{0, 0};
+  if constexpr (Dim == 3)
+    return id<Dim>{0, 0, 0};
+}
+
+// Increases 'Id' if it does not exceed the range 'R'
+template <int Dim> void advanceId(id<Dim> &Id, range<Dim> R) {
+  if constexpr (Dim == 3) {
+    if (Id[2] + 1 < R[2]) {
+      Id[2]++;
+      return;
+    }
+    Id[2] = 0;
+  }
+  if constexpr (Dim >= 2) {
+    if (Id[1] + 1 < R[1]) {
+      Id[1]++;
+      return;
+    }
+    Id[1] = 0;
+  }
+  if (Id[0] + 1 < R[0])
+    Id[0]++;
+}
+
+template <int Dim> int testXD(queue &Q, nd_range<Dim> NDR) {
+  device Dev = Q.get_device();
+  context Context = Q.get_context();
+
+  std::cout << "Start test case for range: {" << NDR.get_global_range() << ", "
+            << NDR.get_local_range() << "}" << std::endl;
+
+  size_t GlobalRange = NDR.get_global_range().size();
+  size_t LocalRange = NDR.get_local_range().size();
+
+  id<Dim> *GlobalId = sycl::malloc_shared<id<Dim>>(GlobalRange, Dev, Context);
+  range<Dim> *GlobalSize =
+      sycl::malloc_shared<range<Dim>>(GlobalRange, Dev, Context);
+
+  id<Dim> *LocalId = sycl::malloc_shared<id<Dim>>(GlobalRange, Dev, Context);
+  range<Dim> *LocalSize =
+      sycl::malloc_shared<range<Dim>>(GlobalRange, Dev, Context);
+
+  uint32_t *SubGroupLocalId =
+      sycl::malloc_shared<uint32_t>(GlobalRange, Dev, Context);
+  uint32_t *SubGroupSize =
+      sycl::malloc_shared<uint32_t>(GlobalRange, Dev, Context);
+  uint32_t *SubGroupMaxSize =
+      sycl::malloc_shared<uint32_t>(GlobalRange, Dev, Context);
+
+  id<Dim> *GroupId = sycl::malloc_shared<id<Dim>>(GlobalRange, Dev, Context);
+  range<Dim> *NumGroups =
+      sycl::malloc_shared<range<Dim>>(GlobalRange, Dev, Context);
+
+  Q.submit([&](sycl::handler &CGH) {
+     namespace seoe = sycl::ext::oneapi::experimental;
+     CGH.parallel_for(NDR, [=](sycl::nd_item<Dim> NdId) SYCL_ESIMD_KERNEL {
+       size_t I = NdId.get_global_linear_id();
+       id<Dim> Id = NdId.get_global_id();
+
+       GlobalId[I] = Id;
+       GlobalSize[I] = NdId.get_global_range();
+
+       LocalId[I] = NdId.get_local_id();
+       LocalSize[I] = NdId.get_local_range();
+
+       SubGroupLocalId[I] = seoe::this_sub_group().get_local_id();
+       SubGroupSize[I] = seoe::this_sub_group().get_local_range()[0];
+       SubGroupMaxSize[I] = seoe::this_sub_group().get_max_local_range()[0];
+
+       GroupId[I] = NdId.get_group().get_group_id();
+       NumGroups[I] = NdId.get_group_range();
+     });
+   }).wait();
+
+  id<Dim> Id = zeroId<Dim>();
+  int Error = 0;
+  for (size_t I = 0; I < NDR.get_global_range().size(); I++) {
+    if (!check("GlobalId", Id, GlobalId[I], I) ||
+        !check("GlobalSize", NDR.get_global_range(), GlobalSize[I], I) ||
+        !check("LocalId", Id % NDR.get_local_range(), LocalId[I], I) ||
+        !check("LocalSize", NDR.get_local_range(), LocalSize[I], I) ||
+        !check("SubGroupLocalId", 0, SubGroupLocalId[I], I) ||
+        !check("SubGroupSize", 1, SubGroupSize[I], I) ||
+        !check("SubGroupMaxSize", 1, SubGroupMaxSize[I], I) ||
+        !check("GroupId", Id / NDR.get_local_range(), GroupId[I], I) ||
+        !check("NumGroups", NDR.get_group_range(), NumGroups[I], I)) {
+      Error = 1;
+      break;
+    }
+    advanceId(Id, NDR.get_global_range());
+  }
+
+  free(GlobalId, Q);
+  free(GlobalSize, Q);
+  free(LocalId, Q);
+  free(LocalSize, Q);
+  free(SubGroupLocalId, Q);
+  free(SubGroupSize, Q);
+  free(SubGroupMaxSize, Q);
+  free(GroupId, Q);
+  free(NumGroups, Q);
+  return Error;
+}
+
+int main() {
+  queue Q;
+
+  int NumErrors = 0;
+  NumErrors += testXD(Q, nd_range<1>{range<1>{10}, range<1>{5}});
+  NumErrors += testXD(Q, nd_range<2>{range<2>{8, 9}, range<2>{2, 3}});
+  NumErrors += testXD(Q, nd_range<3>{range<3>{6, 12, 17}, range<3>{2, 3, 1}});
+
+  if (NumErrors)
+    std::cerr << "Test FAILED" << std::endl;
+  else
+    std::cout << "Test passed" << std::endl;
+
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/half_conversion_test.cpp b/sycl/test-e2e/ESIMD/regression/half_conversion_test.cpp
new file mode 100644
index 0000000000000..af5a8a2eee4d0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/half_conversion_test.cpp
@@ -0,0 +1,101 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//==- half_conversion_test.cpp - Test for half conversion under ESIMD_EMULATOR
+// backend -==/
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <stdlib.h>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace ::sycl;
+using namespace ::sycl::ext;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+template <int N>
+using int_type_t = std::conditional_t<
+    N == 1, int8_t,
+    std::conditional_t<
+        N == 2, int16_t,
+        std::conditional_t<N == 4, int32_t,
+                           std::conditional_t<N == 8, int64_t, void>>>>;
+
+template <class Ty> bool test(queue q, int inc) {
+  Ty *data = new Ty[1];
+
+  data[0] = (Ty)0;
+  Ty VAL = (Ty)inc;
+
+  try {
+    buffer<Ty, 1> buf(data, range<1>(1));
+    q.submit([&](handler &cgh) {
+      std::cout << "Running on "
+                << q.get_device().get_info<::sycl::info::device::name>()
+                << "\n";
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+        simd<uint32_t, 1> offsets(0);
+        simd<Ty, 1> vec = gather<Ty, 1>(acc, offsets);
+        vec[0] += (Ty)inc;
+        scalar_store<Ty>(acc, 0, vec[0]);
+      });
+    });
+  } catch (::sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    delete[] data;
+    return false;
+  }
+
+  using Tint = int_type_t<sizeof(Ty)>;
+  Tint ResBits = *(Tint *)&data[0];
+  Tint GoldBits = *(Tint *)&VAL;
+
+  std::cout << "Comparison of representation '" << inc << "' of Type "
+            << typeid(Ty).name() << std::endl;
+  std::cout << "Bits(data[0]) = 0x" << std::hex << ResBits << " / "
+            << "Bits(GOLD) = 0x" << GoldBits << std::dec << std::endl;
+
+  if (VAL == data[0]) {
+    std::cout << "Pass";
+  } else {
+    std::cout << "Fail";
+  }
+
+  return ((Ty)inc == data[0]);
+}
+
+int main(int argc, char *argv[]) {
+  bool passed = true;
+  queue q;
+
+  std::cout << "\n===================" << std::endl;
+  passed &= test<short>(q, 1);
+  std::cout << "\n===================" << std::endl;
+  if (q.get_device().has(sycl::aspect::fp16))
+    passed &= test<half>(q, 1);
+  else
+    std::cout << "Half case skipped as the device does not support fp16."
+              << std::endl;
+  std::cout << "\n===================" << std::endl;
+  passed &= test<float>(q, 1);
+  std::cout << "\n===================" << std::endl;
+
+  if (passed) {
+    std::cout << "Pass!!" << std::endl;
+  } else {
+    std::cout << "Fail!!" << std::endl;
+  }
+
+  return passed ? 0 : -1;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/iselect.cpp b/sycl/test-e2e/ESIMD/regression/iselect.cpp
new file mode 100644
index 0000000000000..25fbf2b17e992
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/iselect.cpp
@@ -0,0 +1,102 @@
+//==--- iselect.cpp - DPC++ ESIMD feature test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This is basic test for testing proper intrinsics generation.
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <typeinfo>
+
+namespace esimd = sycl::ext::intel::esimd;
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+int test(sycl::queue queue) {
+
+  shared_allocator<int32_t> allocator1(queue);
+  shared_vector<int32_t> input(16, allocator1);
+  shared_vector<int32_t> output(16, allocator1);
+  shared_allocator<uint16_t> allocator2(queue);
+  shared_vector<uint16_t> offsets(8, allocator2);
+
+  for (int i = 0; i < input.size(); ++i) {
+    input[i] = i;
+  }
+
+  offsets[0] = 3;
+  offsets[1] = 5;
+  offsets[2] = 9;
+  offsets[3] = 2;
+  offsets[4] = 7;
+  offsets[5] = 8;
+  offsets[6] = 0;
+  offsets[7] = 1;
+  {
+    queue
+        .submit([&](sycl::handler &cgh) {
+          int32_t *in_ptr = input.data();
+          int32_t *out_ptr = output.data();
+          uint16_t *off_ptr = offsets.data();
+          cgh.single_task([=]() SYCL_ESIMD_KERNEL {
+            __ESIMD_NS::simd<int32_t, 16> input_load_vec;
+            input_load_vec.copy_from(in_ptr);
+
+            esimd::simd<uint16_t, 8> offset;
+            offset.copy_from(off_ptr);
+
+            esimd::simd<int, 8> data = input_load_vec.iselect(offset);
+            data += 3;
+            input_load_vec.template iupdate(offset, data,
+                                            esimd::simd_mask<8>(1));
+            input_load_vec.copy_to(out_ptr);
+          });
+        })
+        .wait_and_throw();
+  }
+  int32_t expected_values[] = {3,  4,  5,  6,  4,  8,  6,  10,
+                               11, 12, 10, 11, 12, 13, 14, 15};
+  int error = 0;
+  for (int i = 0; i < 16; i++) {
+    if (output[i] != expected_values[i]) {
+      ++error;
+      std::cout << "Output[" << i << "] = " << output[i] << ", expected "
+                << expected_values[i] << std::endl;
+    }
+  }
+
+  return error;
+}
+
+int main(int, char **) {
+  sycl::queue queue;
+
+  auto dev = queue.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  int test_result = 0;
+
+  test_result = test(queue);
+
+  if (test_result == 0) {
+    std::cout << "Pass!!" << std::endl;
+  } else {
+    std::cout << "Fail!!" << std::endl;
+  }
+
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/math_const_fix_test.cpp b/sycl/test-e2e/ESIMD/regression/math_const_fix_test.cpp
new file mode 100644
index 0000000000000..05ce7ce3d7d1f
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/math_const_fix_test.cpp
@@ -0,0 +1,271 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==- math_const_fix_test.cpp - Test to verify math functions correctness-==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This is basic test to test some functional equivalency between ESIMD and STD
+// implementations of some math functions (sin, cos, atan, atan2).
+
+#include <cmath>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/esimd/simd.hpp>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+int ErrCnt = 0;
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+int test_sin_cos_atan(float xmin, float xmax, float step) {
+  int size = (xmax - xmin) / step;
+
+  sycl::queue queue;
+  shared_allocator<float> allocator(queue);
+
+  shared_vector<float> vector_input(size, allocator);
+  shared_vector<float> vector_output_sin(size, allocator);
+  shared_vector<float> vector_output_cos(size, allocator);
+  shared_vector<float> vector_output_atan(size, allocator);
+
+  shared_vector<float> scalar_output_sin(size, allocator);
+  shared_vector<float> scalar_output_cos(size, allocator);
+  shared_vector<float> scalar_output_atan(size, allocator);
+
+  int idx = 0;
+  for (float inputValue = xmin; inputValue < xmax; inputValue += step) {
+    vector_input[idx++] = inputValue;
+  }
+
+  auto GlobalRange = sycl::range<1>(size);
+  sycl::range<1> LocalRange{1};
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  {
+    auto e = queue.submit([&](sycl::handler &cgh) {
+      float *vector_input_ptr = vector_input.data();
+      float *vector_output_sin_ptr = vector_output_sin.data();
+      float *scalar_output_sin_ptr = scalar_output_sin.data();
+      float *vector_output_cos_ptr = vector_output_cos.data();
+      float *scalar_output_cos_ptr = scalar_output_cos.data();
+      float *vector_output_atan_ptr = vector_output_atan.data();
+      float *scalar_output_atan_ptr = scalar_output_atan.data();
+      auto kernel = ([=](sycl::nd_item<1> ndi) [[intel::sycl_explicit_simd]] {
+        using namespace sycl::ext::intel::esimd;
+        auto idx = ndi.get_global_id(0);
+
+        simd<float, 1> a;
+        simd<float, 1> scalar_result_sin;
+        simd<float, 1> scalar_result_cos;
+        simd<float, 1> scalar_result_atan;
+
+        a.copy_from(vector_input_ptr + idx);
+
+        simd<float, 1> vector_result_sin =
+            sycl::ext::intel::experimental::esimd::sin_emu(a);
+        simd<float, 1> vector_result_cos =
+            sycl::ext::intel::experimental::esimd::cos_emu(a);
+        simd<float, 1> vector_result_atan =
+            sycl::ext::intel::experimental::esimd::atan(a);
+
+        float input = a[0];
+        scalar_result_sin[idx] =
+            sycl::ext::intel::experimental::esimd::sin_emu(input);
+        scalar_result_cos[idx] =
+            sycl::ext::intel::experimental::esimd::cos_emu(input);
+        scalar_result_atan[idx] =
+            sycl::ext::intel::experimental::esimd::atan(input);
+
+        vector_result_sin.copy_to(vector_output_sin_ptr + idx);
+        scalar_result_sin.copy_to(scalar_output_sin_ptr + idx);
+        vector_result_cos.copy_to(vector_output_cos_ptr + idx);
+        scalar_result_cos.copy_to(scalar_output_cos_ptr + idx);
+        vector_result_atan.copy_to(vector_output_atan_ptr + idx);
+        scalar_result_atan.copy_to(scalar_output_atan_ptr + idx);
+      });
+
+      cgh.parallel_for<class TestSinCos>(Range, kernel);
+    });
+    queue.wait();
+  }
+  for (int i = 0; i < size; ++i) {
+    float input = vector_input[i];
+    float std_result_sin = std::sin(input);
+    float std_result_cos = std::cos(input);
+    float std_result_atan = std::atan(input);
+    if (std::fabs(std_result_atan - vector_output_atan[i]) > 0.00001f) {
+      if (ErrCnt++ < 100)
+        std::cout << "Vector test failed for atan for " << input << "."
+                  << std::endl;
+      return 1;
+    }
+
+    if (std::fabs(std_result_sin - vector_output_sin[i]) > 0.00001f) {
+      if (ErrCnt++ < 100)
+        std::cout << "Vector test failed for sin for " << input << "."
+                  << std::endl;
+      return 1;
+    }
+
+    if (std::fabs(std_result_cos - vector_output_cos[i]) > 0.00001f) {
+      if (ErrCnt++ < 100)
+        std::cout << "Vector test failed for cos for " << input << "."
+                  << std::endl;
+      return 1;
+    }
+    if (scalar_output_sin[i] != vector_output_sin[i]) {
+      if (ErrCnt++ < 100)
+        std::cout << "Scalar test failed for sin " << input << "." << std::endl;
+      return 1;
+    }
+
+    if (scalar_output_cos[i] != vector_output_cos[i]) {
+      if (ErrCnt++ < 100)
+        std::cout << "Scalar test failed for cos for " << input << "."
+                  << std::endl;
+      return 1;
+    }
+
+    if (scalar_output_atan[i] != vector_output_atan[i]) {
+      if (ErrCnt++ < 100)
+        std::cout << "Scalar test failed for atan for " << input << "."
+                  << std::endl;
+      return 1;
+    }
+  }
+
+  return 0;
+}
+
+int test_atan2(float min, float max, float step) {
+  int size = (max - min) / step;
+
+  sycl::queue queue;
+  shared_allocator<float> allocator(queue);
+
+  shared_vector<float> vector_input(size, allocator);
+  shared_vector<float> vector_output_atan2_fast(size * size, allocator);
+  shared_vector<float> vector_output_atan2(size * size, allocator);
+  shared_vector<float> scalar_output_atan2_fast(size * size, allocator);
+  shared_vector<float> scalar_output_atan2(size * size, allocator);
+
+  int idx = 0;
+  for (float inputValue = min; inputValue < max; inputValue += step) {
+    vector_input[idx++] = inputValue;
+  }
+
+  auto GlobalRange = sycl::range<2>(size, size);
+  sycl::range<2> LocalRange{1, 1};
+  sycl::nd_range<2> Range(GlobalRange, LocalRange);
+
+  {
+    auto e = queue.submit([&](sycl::handler &cgh) {
+      float *vector_input_ptr = vector_input.data();
+      float *vector_output_atan2_fast_ptr = vector_output_atan2_fast.data();
+      float *scalar_output_atan2_fast_ptr = scalar_output_atan2_fast.data();
+      float *vector_output_atan2_ptr = vector_output_atan2.data();
+      float *scalar_output_atan2_ptr = scalar_output_atan2.data();
+
+      auto kernel = ([=](sycl::nd_item<2> ndi) [[intel::sycl_explicit_simd]] {
+        using namespace sycl::ext::intel::esimd;
+        auto idx_x = ndi.get_global_id(0);
+        auto idx_y = ndi.get_global_id(1);
+
+        simd<float, 1> a;
+        simd<float, 1> b;
+        a.copy_from(vector_input_ptr + idx_x);
+        b.copy_from(vector_input_ptr + idx_y);
+
+        float x = a[0];
+        float y = b[0];
+        simd<float, 1> vector_result =
+            sycl::ext::intel::experimental::esimd::atan2_fast(a, b);
+        simd<float, 1> scalar_result =
+            sycl::ext::intel::experimental::esimd::atan2_fast(x, y);
+        simd<float, 1> vector_result1 =
+            sycl::ext::intel::experimental::esimd::atan2(a, b);
+        simd<float, 1> scalar_result1 =
+            sycl::ext::intel::experimental::esimd::atan2(x, y);
+
+        vector_result.copy_to(vector_output_atan2_fast_ptr + idx_y * size +
+                              idx_x);
+        scalar_result.copy_to(scalar_output_atan2_fast_ptr + idx_y * size +
+                              idx_x);
+        vector_result1.copy_to(vector_output_atan2_ptr + idx_y * size + idx_x);
+        scalar_result1.copy_to(scalar_output_atan2_ptr + idx_y * size + idx_x);
+      });
+
+      cgh.parallel_for<class TestAtan>(Range, kernel);
+    });
+    queue.wait();
+  }
+
+  for (int ix = 0; ix < size; ++ix) {
+    for (int iy = 0; iy < size; ++iy) {
+      float input_x = vector_input[ix];
+      float input_y = vector_input[iy];
+      if (!(std::abs(input_x) > 0.00001f && std::abs(input_y) > 0.00001f)) {
+        continue;
+      }
+
+      float std_result_atan = std::atan2(input_x, input_y);
+
+      if (std::fabs(std_result_atan - vector_output_atan2[iy * size + ix]) >
+          0.0001f) {
+        if (ErrCnt++ < 100)
+          std::cout << "Vector test failed for atan2 for " << input_x << ","
+                    << input_y << "." << std::endl;
+        return 1;
+      }
+
+      if (std::fabs(std_result_atan -
+                    vector_output_atan2_fast[iy * size + ix]) > 0.1f) {
+        if (ErrCnt++ < 100)
+          std::cout << "Vector test failed for atan2_fast for " << input_x
+                    << "," << input_y << "." << std::endl;
+        return 1;
+      }
+
+      if (scalar_output_atan2[iy * size + ix] !=
+          vector_output_atan2[iy * size + ix]) {
+        if (ErrCnt++ < 100)
+          std::cout << "Scalar test failed for atan2 for " << input_x << ","
+                    << input_y << "." << std::endl;
+        return 1;
+      }
+
+      if (scalar_output_atan2_fast[iy * size + ix] !=
+          vector_output_atan2_fast[iy * size + ix]) {
+        if (ErrCnt++ < 100)
+          std::cout << "Scalar test failed for atan2_fast for " << input_x
+                    << "," << input_y << "." << std::endl;
+        return 1;
+      }
+    }
+  }
+  return 0;
+}
+
+int main() {
+
+  int test_result = 0;
+
+  test_result |= test_sin_cos_atan(-10.f, 10.f, 0.1f);
+  test_result |= test_atan2(-10.f, 10.f, 0.1f);
+
+  if (!test_result) {
+    std::cout << "Pass" << std::endl;
+  }
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/noinline_bypointers_vadd.cpp b/sycl/test-e2e/ESIMD/regression/noinline_bypointers_vadd.cpp
new file mode 100644
index 0000000000000..eabe96018c374
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/noinline_bypointers_vadd.cpp
@@ -0,0 +1,113 @@
+//==------ noinline_bypointers_vadd.cpp  - DPC++ ESIMD on-device test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: *
+
+// Vector BE bug.
+// Memory access via a pointer type argument is broken if the function was not
+// inlined.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+using ptr = float *;
+static inline constexpr unsigned VL = 32;
+
+SYCL_EXTERNAL ESIMD_NOINLINE void do_add(ptr A, float *B,
+                                         ptr C) SYCL_ESIMD_FUNCTION {
+  simd<float, VL> va;
+  va.copy_from(A);
+  simd<float, VL> vb;
+  vb.copy_from(B);
+  simd<float, VL> vc = va + vb;
+  vc.copy_to(C);
+}
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 8;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+  }
+
+  // We need that many workitems. Each processes VL elements of data.
+  sycl::range<1> GlobalRange{Size / VL};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            int i = ndi.get_global_id(0);
+            do_add(ptr{A + i * VL}, B + i * VL, ptr{C + i * VL});
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    free(A, ctxt);
+    free(B, ctxt);
+    free(C, ctxt);
+
+    return e.get_cl_code();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+
+  free(A, ctxt);
+  free(B, ctxt);
+  free(C, ctxt);
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+    std::cout << "FAILED\n";
+    return 1;
+  }
+
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/operator_decrement.cpp b/sycl/test-e2e/ESIMD/regression/operator_decrement.cpp
new file mode 100644
index 0000000000000..f5e8604891578
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/operator_decrement.cpp
@@ -0,0 +1,89 @@
+//==------------- operator_decrement.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This is a test for a bug found simd_view::operator--
+//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned VL = 16;
+
+  float *A = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i + 1;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+
+    // We need that many workgroups
+    range<1> GlobalRange{Size / VL};
+
+    // We need that many threads in each group
+    range<1> LocalRange{1};
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class Test>(
+          GlobalRange * LocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            auto va_view = va.select<VL, 1>(0);
+            va_view--;
+            va.copy_to(PA, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != i) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << A[i] << " != " << i
+                  << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/replicate_bug.cpp b/sycl/test-e2e/ESIMD/regression/replicate_bug.cpp
new file mode 100644
index 0000000000000..1405d0adfb7d8
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/replicate_bug.cpp
@@ -0,0 +1,86 @@
+//==--------------- replicate_bug.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// This is a regression test for a bug in simd::replicate_w interface:
+// call v.replicate_w<VL, 1>(1) should broadcast second element of v VL times.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+constexpr int VL = 8;
+
+template <int Width> bool test(queue q, const std::vector<int> &gold) {
+  std::cout << "Testing Width=" << Width << " ...\n";
+  int *A = malloc_shared<int>(VL * Width, q);
+  int *B = malloc_shared<int>(VL * Width, q);
+
+  for (int i = 0; i < VL * Width; ++i) {
+    A[i] = i;
+    B[i] = -i;
+  }
+
+  try {
+    range<1> glob_range{1};
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for(glob_range, [=](id<1> i) SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        simd<int, VL> va;
+        va.copy_from(A);
+        simd<int, VL *Width> vb = va.replicate_w<VL, Width>(1);
+        vb.copy_to(B);
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < VL * Width; ++i) {
+    if (B[i] != gold[i]) {
+      err_cnt++;
+      std::cout << "failed at index " << i << ": " << B[i] << " != " << gold[i]
+                << " (gold)\n";
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(VL * Width - err_cnt) / (float)VL * Width) * 100.0f
+              << "% (" << (VL * Width - err_cnt) << "/" << VL << ")\n";
+  }
+
+  free(A, q);
+  free(B, q);
+
+  std::cout << (err_cnt > 0 ? "  FAILED\n" : "  Passed\n");
+  return err_cnt > 0 ? false : true;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+  passed &= test<1>(q, {1, 1, 1, 1, 1, 1, 1, 1});
+  passed &= test<2>(q, {1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2});
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/rol_ror_compilation_test.cpp b/sycl/test-e2e/ESIMD/regression/rol_ror_compilation_test.cpp
new file mode 100644
index 0000000000000..50a6244650f19
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/rol_ror_compilation_test.cpp
@@ -0,0 +1,136 @@
+// REQUIRES: gpu-intel-gen11
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: esimd_emulator
+//==- rol_ror_compilation_test.cpp - Test for compilation of rol/ror functions
+// functions -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <CL/sycl.hpp>
+#include <ext/intel/esimd.hpp>
+
+#include "../esimd_test_utils.hpp"
+
+using namespace cl::sycl;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#define SIMD 16
+#define THREAD_NUM 512
+#define TEST_VALUE 0x55555555
+
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+template <typename TRes, typename TArg1, typename TArg2,
+          class Sat = __ESIMD_NS::saturation_off_tag>
+int test(cl::sycl::queue q, TArg1 arg1, TArg2 arg2, TRes expected_rol,
+         TRes expected_ror) {
+  shared_allocator<TArg1> allocator1(q);
+  shared_vector<TArg1> input(THREAD_NUM * SIMD, allocator1);
+
+  for (int i = 0; i < input.size(); ++i) {
+    input[i] = arg1;
+  }
+
+  shared_allocator<TRes> allocator0(q);
+  shared_vector<TRes> rol_output(THREAD_NUM * SIMD, allocator0);
+  shared_vector<TRes> ror_output(THREAD_NUM * SIMD, allocator0);
+
+  shared_vector<TRes> scalar_rol_output(1, allocator0);
+  shared_vector<TRes> scalar_ror_output(1, allocator0);
+
+  nd_range<1> Range((range<1>(THREAD_NUM)), (range<1>(SIMD)));
+  auto e = q.submit([&](handler &cgh) {
+    TArg1 *in_ptr = input.data();
+
+    TRes *rol_ptr = rol_output.data();
+    TRes *ror_ptr = ror_output.data();
+
+    TRes *scalar_rol_ptr = scalar_rol_output.data();
+    TRes *scalar_ror_ptr = scalar_ror_output.data();
+
+    cgh.parallel_for(Range, [=](nd_item<1> it) SYCL_ESIMD_FUNCTION {
+      Sat sat;
+
+      __ESIMD_NS::simd<TArg1, SIMD> input_vec;
+      input_vec.copy_from(in_ptr + it.get_global_id(0) * SIMD);
+
+      __ESIMD_NS::simd<TRes, 1> scalar_result;
+      __ESIMD_NS::simd<TRes, SIMD> result;
+
+      result = rol<TArg1>(input_vec, arg2);
+      scalar_result = rol<TArg1>(arg1, arg2);
+      result.copy_to(rol_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_rol_ptr);
+
+      result = ror<TArg1>(input_vec, arg2);
+      scalar_result = ror<TArg1>(arg1, arg2);
+      result.copy_to(ror_ptr + it.get_global_id(0) * SIMD);
+      scalar_result.copy_to(scalar_ror_ptr);
+    });
+  });
+  e.wait();
+
+  for (int i = 0; i < THREAD_NUM * SIMD; ++i) {
+    if (rol_output[i] ^ expected_rol || scalar_rol_output[0] ^ expected_rol) {
+      std::cout << "Test failed for rol test " << input[i] << "." << std::endl;
+      return 1;
+    }
+    if (ror_output[i] ^ expected_ror || scalar_ror_output[0] ^ expected_ror) {
+      std::cout << "Test failed for ror test " << input[i] << "." << std::endl;
+      return 1;
+    }
+  }
+  return 0;
+}
+
+int main(int argc, char *argv[]) {
+  sycl::device dev{sycl::default_selector_v};
+  sycl::queue q{esimd_test::createQueuePropertyList(
+      dev.has(sycl::aspect::queue_profiling))};
+
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  int test_result = 0;
+
+  test_result |= test<uint32_t, uint32_t, int32_t>(q, TEST_VALUE, 1, 0xAAAAAAAA,
+                                                   0xAAAAAAAA);
+  test_result |= test<uint32_t, int32_t, int32_t>(q, TEST_VALUE, 1, 0xAAAAAAAA,
+                                                  0xAAAAAAAA);
+  test_result |= test<int32_t, uint32_t, int32_t>(q, TEST_VALUE, 1, 0xAAAAAAAA,
+                                                  0xAAAAAAAA);
+  test_result |=
+      test<int32_t, int32_t, int32_t>(q, TEST_VALUE, 1, 0xAAAAAAAA, 0xAAAAAAAA);
+
+  test_result |=
+      test<uint32_t, uint32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+          q, TEST_VALUE, 1, 0xAAAAAAAA, 0xAAAAAAAA);
+  test_result |=
+      test<uint32_t, int32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+          q, TEST_VALUE, 1, 0xAAAAAAAA, 0xAAAAAAAA);
+  test_result |=
+      test<int32_t, uint32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+          q, TEST_VALUE, 1, 0xAAAAAAAA, 0xAAAAAAAA);
+  test_result |= test<int32_t, int32_t, int32_t, __ESIMD_NS::saturation_on_tag>(
+      q, TEST_VALUE, 1, 0xAAAAAAAA, 0xAAAAAAAA);
+
+  test_result |= test<uint16_t, uint16_t, int32_t>(q, 0x8000, 1, 0x1, 0x4000);
+  test_result |= test<uint32_t, int16_t, int32_t>(q, 0x8000, 1, 0x1, 0x4000);
+
+  test_result |= test<uint16_t, uint16_t, int32_t>(q, 0x4000, 2, 0x1, 0x1000);
+  test_result |=
+      test<uint16_t, uint16_t, int32_t>(q, 0x7FFF, 2, 0xFFFD, 0xDFFF);
+
+  if (!test_result) {
+    std::cout << "Pass" << std::endl;
+  }
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/store_zero_const.cpp b/sycl/test-e2e/ESIMD/regression/store_zero_const.cpp
new file mode 100644
index 0000000000000..f8d61b9c92f43
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/store_zero_const.cpp
@@ -0,0 +1,100 @@
+//==---------- store_zero_const.cpp - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This is a regression for vector BE bug:
+// storing a constant zero through an USM pointer causes BE crash with
+// "error: unsupported type for load/store" message.
+// Use -fsycl-device-code-split=per_kernel so that each kernel's compilation
+// does not affect others.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <cstdint>
+#include <iostream>
+
+using namespace sycl;
+
+template <typename T> bool test(queue Q) {
+  std::cout << "  Testing " << typeid(T).name() << "...\n";
+
+  constexpr unsigned Size = 1024;
+  constexpr unsigned VL = 32;
+  constexpr unsigned GroupSize = 8;
+
+  T *A = malloc_shared<T>(Size * sizeof(T), Q);
+
+  range<1> GlobalRange{Size / VL};
+  range<1> LocalRange{GroupSize};
+  nd_range<1> Range(GlobalRange, LocalRange);
+
+#define GOLD_VAL 0
+
+  try {
+    auto E = Q.submit([&](handler &CGH) {
+      CGH.parallel_for<T>(Range, [=](nd_item<1> Ndi) SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        int I = Ndi.get_global_id(0);
+        for (auto Ind = 0; Ind < VL; ++Ind) {
+          A[I * VL + Ind] = static_cast<T>(GOLD_VAL);
+        }
+      });
+    });
+    E.wait();
+  } catch (sycl::exception const &E) {
+    std::cout << "SYCL exception caught: " << E.what() << '\n';
+    free(A, Q);
+    return false; // not success
+  }
+  int ErrCnt = 0;
+
+  for (unsigned I = 0; I < Size; ++I) {
+    if (A[I] != GOLD_VAL) {
+      if (++ErrCnt < 10) {
+        std::cout << "failed at index " << I << ": " << A[I] << "\n";
+      }
+    }
+  }
+  if (ErrCnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - ErrCnt) / (float)Size) * 100.0f << "% ("
+              << (Size - ErrCnt) << "/" << Size << ")\n";
+  }
+  std::cout << (ErrCnt > 0 ? "FAILED\n" : "Passed\n");
+  sycl::free(A, Q);
+
+  return ErrCnt == 0;
+}
+
+int main(void) {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>() << "\n";
+
+  bool Passed = 1;
+  Passed &= test<unsigned char>(Q);
+  Passed &= test<char>(Q);
+  Passed &= test<unsigned short>(Q);
+  Passed &= test<short>(Q);
+  Passed &= test<unsigned int>(Q);
+  Passed &= test<uint64_t>(Q);
+  Passed &= test<int64_t>(Q);
+  Passed &= test<float>(Q);
+  if (Q.get_device().has(aspect::fp64))
+    Passed &= test<double>(Q);
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/sycl_esimd_mixed_unnamed.cpp b/sycl/test-e2e/ESIMD/regression/sycl_esimd_mixed_unnamed.cpp
new file mode 100644
index 0000000000000..d10eeb5e167f3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/sycl_esimd_mixed_unnamed.cpp
@@ -0,0 +1,124 @@
+//==--- sycl_esimd_mixed_unnamed.cpp - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This is basic test for mixing unnamed SYCL and ESIMD kernels in the same
+// source and in the same program .
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: esimd_emulator
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace ::sycl;
+
+bool checkResult(const std::vector<float> &A, int Inc) {
+  int err_cnt = 0;
+  unsigned Size = A.size();
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != i + Inc)
+      if (++err_cnt < 10)
+        std::cerr << "failed at A[" << i << "]: " << A[i] << " != " << i + Inc
+                  << "\n";
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+    return false;
+  }
+  return true;
+}
+
+int main(void) {
+  constexpr unsigned Size = 32;
+  constexpr unsigned VL = 16;
+
+  std::vector<float> A(Size);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+
+    // We need that many workgroups
+    ::sycl::range<1> GlobalRange{Size};
+    // We need that many threads in each group
+    ::sycl::range<1> LocalRange{1};
+
+    queue q;
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for(GlobalRange * LocalRange,
+                       [=](id<1> i) { PA[i] = PA[i] + 1; });
+    });
+    e.wait();
+  } catch (::sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 1)) {
+    std::cout << "SYCL kernel passed\n";
+  } else {
+    std::cout << "SYCL kernel failed\n";
+    return 1;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+
+    // We need that many workgroups
+    ::sycl::range<1> GlobalRange{Size / VL};
+    // We need that many threads in each group
+    ::sycl::range<1> LocalRange{1};
+
+    queue q;
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for(GlobalRange * LocalRange,
+                       [=](id<1> i) SYCL_ESIMD_KERNEL {
+                         using namespace sycl::ext::intel::esimd;
+                         unsigned int offset = i * VL * sizeof(float);
+                         simd<float, VL> va;
+                         va.copy_from(PA, offset);
+                         simd<float, VL> vc = va + 1;
+                         vc.copy_to(PA, offset);
+                       });
+    });
+    e.wait();
+  } catch (::sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 2)) {
+    std::cout << "ESIMD kernel passed\n";
+  } else {
+    std::cout << "ESIMD kernel failed\n";
+    return 1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/tanh_fix_test.cpp b/sycl/test-e2e/ESIMD/regression/tanh_fix_test.cpp
new file mode 100644
index 0000000000000..0d1797fea9958
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/tanh_fix_test.cpp
@@ -0,0 +1,119 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==- tanh_fix_test.cpp - Test for tanh -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <cmath>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/esimd/simd.hpp>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+constexpr auto sycl_write = sycl::access::mode::write;
+#define SIMD 16
+
+int test_tanh(float x) {
+  std::vector<float> out(SIMD);
+  std::vector<float> out1(SIMD);
+
+  float ha = x;
+  float scalar_result = 0;
+  float scalar_result1 = 0;
+
+  {
+    sycl::queue queue;
+
+    sycl::buffer<float, 1> vector_buffer(out.data(), out.size());
+    sycl::buffer<float, 1> scalar_buffer(&scalar_result, sycl::range<1>(1));
+    sycl::buffer<float, 1> vector_buffer1(out1.data(), out1.size());
+    sycl::buffer<float, 1> scalar_buffer1(&scalar_result1, sycl::range<1>(1));
+
+    auto e = queue.submit([&](sycl::handler &cgh) {
+      sycl::accessor<float, 1, sycl_write> vector_out =
+          vector_buffer.get_access<sycl_write>(cgh);
+      sycl::accessor<float, 1, sycl_write> scalar_out =
+          scalar_buffer.get_access<sycl_write>(cgh);
+      sycl::accessor<float, 1, sycl_write> vector_out1 =
+          vector_buffer1.get_access<sycl_write>(cgh);
+      sycl::accessor<float, 1, sycl_write> scalar_out1 =
+          scalar_buffer1.get_access<sycl_write>(cgh);
+
+      auto kernel = ([=]() [[intel::sycl_explicit_simd]] {
+        using namespace sycl::ext::intel::esimd;
+
+        simd<float, SIMD> a = ha;
+
+        simd<float, SIMD> vector_result =
+            sycl::ext::intel::experimental::esimd::tanh(a);
+        simd<float, 1> scalar_result =
+            sycl::ext::intel::experimental::esimd::tanh(ha);
+        simd<float, SIMD> vector_result1 =
+            sycl::ext::intel::experimental::esimd::tanh_cody_waite(a);
+        simd<float, 1> scalar_result1 =
+            sycl::ext::intel::experimental::esimd::tanh_cody_waite(ha);
+
+        vector_result.copy_to(vector_out, 0);
+        scalar_result.copy_to(scalar_out, 0);
+        vector_result1.copy_to(vector_out1, 0);
+        scalar_result1.copy_to(scalar_out1, 0);
+      });
+
+      cgh.single_task<class Reduction>(kernel);
+    });
+    queue.wait();
+  }
+
+  float std_result = std::tanh(ha);
+
+  if (std::fabs(std_result - scalar_result) > 0.000001f) {
+    std::cout << "Scalar test failed for " << x << "." << std::endl;
+    return 1;
+  }
+
+  if (std::fabs(std_result - scalar_result1) > 0.000001f) {
+    std::cout << "Scalar test failed for cody waite implementation for " << x
+              << "." << std::endl;
+    return 1;
+  }
+
+  for (int i = 0; i < SIMD; ++i) {
+    if (scalar_result != out[i] &&
+        !(std::isnan(scalar_result) && std::isnan(out[i]))) {
+      std::cout << "Vector test failed for " << x << "." << std::endl;
+      return 1;
+    }
+
+    if (scalar_result1 != out1[i] &&
+        !(std::isnan(scalar_result1) && std::isnan(out1[i]))) {
+      std::cout << "Vector test failed for cody waite implementation for " << x
+                << "." << std::endl;
+      return 1;
+    }
+  }
+
+  return 0;
+}
+
+int main() {
+
+  int test_result = 0;
+
+  for (float x = -100.f; x < 100.f; x += 0.1f) {
+    test_result |= test_tanh(x);
+  }
+
+  if (!test_result) {
+    std::cout << "Pass" << std::endl;
+  }
+  return test_result;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/unused_load.cpp b/sycl/test-e2e/ESIMD/regression/unused_load.cpp
new file mode 100644
index 0000000000000..0a9ddc0dc91fb
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/unused_load.cpp
@@ -0,0 +1,56 @@
+//==---------- unused_load.cpp  - DPC++ ESIMD on-device test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks that ESIMD JIT compilation does not crash on unused
+// copy_from invocation.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+constexpr unsigned int VL = 16;
+
+using Ty = float;
+
+int main() {
+  Ty data0[VL] = {0};
+
+  try {
+    queue q;
+
+    buffer<Ty, 1> buf0(data0, range<1>(VL));
+
+    q.submit([&](handler &cgh) {
+      std::cout << "Running on "
+                << q.get_device().get_info<sycl::info::device::name>() << "\n";
+
+      auto acc0 = buf0.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for<class Test>(range<1>(1),
+                                   [=](sycl::id<1> i) SYCL_ESIMD_KERNEL {
+                                     using namespace sycl::ext::intel::esimd;
+                                     simd<Ty, VL> var;
+                                     var.copy_from(acc0, 0);
+                                   });
+    });
+    q.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/regression/usm_gather_scatter_32.cpp b/sycl/test-e2e/ESIMD/regression/usm_gather_scatter_32.cpp
new file mode 100644
index 0000000000000..e5db41713734e
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/usm_gather_scatter_32.cpp
@@ -0,0 +1,80 @@
+//==---------- usm_gather_scatter_32.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Regression test for checking USM-based gather/scatter with 32 elements.
+
+#include "../esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+using DataT = std::uint8_t;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned VL = 32;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  DataT *A = malloc_shared<DataT>(Size, q);
+  DataT *C = malloc_shared<DataT>(Size, q);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+  }
+
+  auto e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test>({Size / VL},
+                                 [=](item<1> ndi) SYCL_ESIMD_KERNEL {
+                                   int i = ndi.get_id(0);
+                                   simd<DataT, VL> va;
+                                   va.copy_from(A + i * VL);
+
+                                   simd<uint32_t, VL> offsets(0, 1);
+                                   scatter<DataT, VL>(C + i * VL, offsets, va);
+                                 });
+  });
+  e.wait();
+
+  std::cout << "Elements should be equal to indices after scatter operation\n";
+  std::cout << "C[16] C[17] C[18] C[19]:\n";
+  std::cout << +C[16] << " " << +C[17] << " " << +C[18] << " " << +C[19]
+            << "\n";
+  int err_cnt = 0;
+
+  for (int i = 0; i < Size; i++) {
+    if ((C[i] != (DataT)i) && (++err_cnt < VL)) {
+      std::cerr << "### ERROR at " << i << ": " << C[i] << " != " << (int)i
+                << "(gold)\n";
+    }
+  }
+  sycl::free(A, q);
+  sycl::free(C, q);
+
+  if (err_cnt == 0) {
+    std::cout << "OK\n";
+    return 0;
+  } else {
+    std::cout << "FAIL\n";
+    return 1;
+  }
+}
diff --git a/sycl/test-e2e/ESIMD/regression/variable_gather_mask.cpp b/sycl/test-e2e/ESIMD/regression/variable_gather_mask.cpp
new file mode 100644
index 0000000000000..394f218f381fd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/regression/variable_gather_mask.cpp
@@ -0,0 +1,161 @@
+//==------- variable_gather_mask.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// This is a regression test for the VC BE bug which generates incorrect code in
+// some cases in presence of variable (not compile-time constant) mask
+// (aka predicate) in the scatter operation.
+
+#include "../esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+
+using Acc = accessor<int, 1, access_mode::read_write, access::target::device>;
+
+constexpr int VL = 8;
+constexpr int MASKED_LANE = 4;
+static int MaskedLane = MASKED_LANE;
+
+struct KernelAcc {
+  int masked_lane;
+  Acc acc;
+
+  KernelAcc(Acc acc) : acc(acc), masked_lane(MaskedLane) {}
+
+  void operator()() const SYCL_ESIMD_KERNEL {
+#ifdef CONST_MASK
+    constexpr int masked_lane = MASKED_LANE;
+#endif
+#ifdef USE_RAW_API
+    constexpr int val = MASKED_LANE;
+    simd<int, VL>::raw_vector_type v{val, val, val, val, val, val, val, val};
+    simd_mask<VL>::raw_vector_type pred{1, 1, 1, 1, 1, 1, 1, 1};
+    pred[masked_lane] = 0;
+#if defined(USE_WORKAROUND)
+    pred = __builtin_convertvector(pred == 1, simd_mask<VL>::raw_vector_type);
+#endif
+    simd<uint32_t, VL>::raw_vector_type offsets = {0, 4, 8, 12, 16, 20, 24, 28};
+    SurfaceIndex si = get_surface_index(acc);
+    __esimd_scatter_scaled<int, VL, unsigned int, 2, 0>(pred, si, 0, offsets,
+                                                        v);
+#else
+    simd<int, VL> v(MASKED_LANE);
+    simd_mask<VL> pred = 1;
+    pred[masked_lane] = 0;
+    // Workaround for the BE bug:
+#if defined(USE_WORKAROUND)
+    pred = pred == 1;
+#endif
+    simd<uint32_t, VL> offsets(0, sizeof(int));
+    scatter(acc, offsets, v, 0, pred);
+#endif
+  }
+};
+
+struct KernelUSM {
+  int masked_lane;
+  int *ptr;
+
+  KernelUSM(int *ptr) : ptr(ptr), masked_lane(MaskedLane) {}
+
+  void operator()() const SYCL_ESIMD_KERNEL {
+#ifdef CONST_MASK
+    constexpr int masked_lane = MASKED_LANE;
+#endif
+    simd<int, VL> v(MASKED_LANE);
+    simd_mask<VL> pred = 1;
+    pred[masked_lane] = 0;
+    // Workaround for the BE bug:
+#if defined(USE_WORKAROUND)
+    pred = pred == 1;
+#endif
+    simd<uint32_t, VL> offsets(0, sizeof(int));
+    scatter(ptr, offsets, v, pred);
+  }
+};
+
+template <class Command> bool test(const char *msg, queue q, Command cmd) {
+  std::cout << "Testing " << msg << "...\n";
+  constexpr int size = VL;
+  int *B = malloc_shared<int>(size, q); // works for accessor too
+
+  for (int i = 0; i < size; ++i) {
+    B[i] = (int)-1;
+  }
+
+  try {
+    auto e = cmd(B);
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(B, q);
+    std::cerr << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < size; ++i) {
+    auto gold = i == MaskedLane ? -1 : MaskedLane;
+
+    if (B[i] != gold) {
+      if (err_cnt++ < VL) {
+        std::cout << "failed at index " << i << ": " << B[i] << " != " << gold
+                  << " (gold)\n";
+      }
+    }
+  }
+  sycl::free(B, q);
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  } else {
+    std::cout << "  OK\n";
+  }
+  return err_cnt == 0;
+}
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  std::cout << "MaskedLane=" << MASKED_LANE << "\n";
+
+  bool passed = true;
+
+  passed &= test("accessor", q, [&](int *B) {
+    sycl::buffer<int, 1> Bbuf(B, range<1>(VL));
+
+    return q.submit([&](handler &cgh) {
+      auto b = Bbuf.template get_access<access::mode::read_write>(cgh);
+      KernelAcc kernel(b);
+      cgh.single_task(kernel);
+    });
+  });
+
+  passed &= test("USM", q, [&](int *B) {
+    return q.submit([&](handler &cgh) {
+      KernelUSM kernel(B);
+      cgh.single_task(kernel);
+    });
+  });
+
+  std::cout << (passed ? "Test passed\n" : "Test FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/slm_alloc.cpp b/sycl/test-e2e/ESIMD/slm_alloc.cpp
new file mode 100644
index 0000000000000..47b4ae6df5f0b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/slm_alloc.cpp
@@ -0,0 +1,188 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || esimd_emulator
+//
+// RUN: %clangxx -fsycl %s -o %t.1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.1.out
+//
+// Vary the test case by forcing inlining of the functions with slm_allocator:
+// RUN: %clangxx -fsycl -DFORCE_INLINE %s -o %t.2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.2.out
+
+// This is end-to-end test for the slm_allocator API used together with the
+// slm_init. The call graph is:
+//         Test1(kernel) - uses slm_init(SLM_IN_KERNEL)
+//         /    \
+//        /      v
+//       /       bar - uses slm_allocator(SLM_IN_BAR)
+//      v
+//      foo - uses slm_allocator(SLM_IN_FOO)
+// Test1 kernel SLM usage is SLM_IN_KERNEL + max(SLM_IN_BAR, SLM_IN_FOO).
+// SLM offset returned by the slm_allocator in foo and bar is the same and is
+// SLM_IN_KERNEL bytes.
+// Bar uses slightly bigger SLM frame than foo. It modifies values (adds 10) in
+// SLM resulting from foo, plus appends couple more '100's.
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+using T = int;
+constexpr int LOCAL_SIZE = 4;
+constexpr int GLOBAL_SIZE = 8;
+
+constexpr int NUM_WGS = GLOBAL_SIZE / LOCAL_SIZE;
+
+constexpr int ELEM_SIZE = sizeof(T);
+
+constexpr int SLM_IN_KERNEL = LOCAL_SIZE * ELEM_SIZE;
+constexpr int SLM_IN_FOO = LOCAL_SIZE * ELEM_SIZE;
+constexpr int BAR_EXTRA_ELEMS = 2;
+constexpr int SLM_IN_BAR = SLM_IN_FOO + BAR_EXTRA_ELEMS * ELEM_SIZE;
+constexpr int SLM_TOTAL = SLM_IN_KERNEL + std::max(SLM_IN_FOO, SLM_IN_BAR);
+constexpr int BAR_MARKER1 = 10;
+constexpr int BAR_MARKER2 = 100;
+
+#ifdef FORCE_INLINE
+constexpr bool force_inline = true;
+inline
+    __attribute__((always_inline))
+#else
+constexpr bool force_inline = false;
+__attribute__((noinline))
+#endif // FORCE_INLINE
+    void
+    foo(int local_id) {
+  slm_allocator<SLM_IN_FOO> a;
+  uint32_t slm_off = a.get_offset();
+  // write data chunk "Y":
+  slm_scalar_store(slm_off + local_id * ELEM_SIZE, (T)local_id);
+}
+
+#ifdef FORCE_INLINE
+inline
+    __attribute__((always_inline))
+#else
+__attribute__((noinline))
+#endif // FORCE_INLINE
+    void
+    bar(int local_id) {
+  slm_allocator<SLM_IN_BAR> a;
+  uint32_t slm_off = a.get_offset();
+  uint32_t off = slm_off + local_id * ELEM_SIZE;
+  T v = slm_scalar_load<T>(off);
+  // update data chunk "Y":
+  slm_scalar_store(off, v + BAR_MARKER1);
+
+  if (local_id == 0) {
+    for (int i = 0; i < BAR_EXTRA_ELEMS; i++) {
+      // write data chunk "Z":
+      slm_scalar_store((2 * LOCAL_SIZE + i) * ELEM_SIZE, (T)BAR_MARKER2);
+    }
+  }
+}
+
+int main(void) {
+  queue q;
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  std::cout << "force_inline=" << force_inline << "\n";
+  auto ctxt = q.get_context();
+  uint32_t size = SLM_TOTAL * NUM_WGS / ELEM_SIZE;
+
+  T *arr = malloc_shared<T>(size, dev, ctxt);
+
+  auto e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test1>(
+        nd_range<1>(GLOBAL_SIZE, LOCAL_SIZE),
+        [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+          slm_init(SLM_IN_KERNEL);
+          int local_id = ndi.get_local_linear_id();
+          int group_id = ndi.get_group_linear_id();
+
+          // write data chunk "X":
+          slm_scalar_store(local_id * ELEM_SIZE, local_id);
+          barrier();
+
+          foo(local_id);
+          barrier();
+
+          bar(local_id);
+          barrier();
+
+          // copy data from SLM to the output for further verification
+          if (local_id == 0) {
+            uint32_t group_off = SLM_TOTAL * group_id;
+
+            for (int i = 0; i < SLM_TOTAL / ELEM_SIZE; i++) {
+              uint32_t slm_off = i * ELEM_SIZE;
+              uint32_t mem_off = group_off + slm_off;
+              scatter(arr, simd<uint32_t, 1>(mem_off),
+                      simd<T, 1>(slm_scalar_load<T>(slm_off)));
+            }
+          }
+        });
+  });
+  e.wait();
+
+  for (int i = 0; i < NUM_WGS * SLM_TOTAL / ELEM_SIZE; i++) {
+    std::cout << " " << arr[i];
+    if ((i + 1) % 10 == 0) {
+      std::cout << "\n";
+    }
+  }
+  std::cout << "\n";
+  int err_cnt = 0;
+
+  for (int g = 0; g < NUM_WGS; g++) {
+    uint32_t group_off = SLM_TOTAL * g / ELEM_SIZE;
+    for (int i = 0; i < LOCAL_SIZE; i++) {
+      int ind = group_off + i;
+
+      // check data copied from kernel's SLM frame ("X")
+      auto test = arr[ind];
+      auto gold = i;
+
+      if (test != gold) {
+        if (++err_cnt < 10) {
+          std::cerr << "*** ERROR (X) at " << ind << ": " << test
+                    << " != " << gold << " (gold)\n";
+        }
+      }
+      // check data copied from the overlapping part of foo's and bar's SLM
+      // frames - "Y"
+      ind = ind + LOCAL_SIZE; // shift to the foo/bar SLM frame
+      test = arr[ind];
+      gold = i + BAR_MARKER1;
+
+      if (test != gold) {
+        if (++err_cnt < 10) {
+          std::cerr << "*** ERROR (Y) at " << ind << ": " << test
+                    << " != " << gold << " (gold)\n";
+        }
+      }
+    }
+    // now check data written by bar past the overlapping part of foo/bar SLM
+    // frame - "Z"
+    for (int i = 0; i < BAR_EXTRA_ELEMS; i++) {
+      int ind =
+          group_off + 2 /*kernel's and foo's SLM frames*/ * LOCAL_SIZE + i;
+      auto test = arr[ind];
+      auto gold = BAR_MARKER2;
+
+      if (test != gold) {
+        if (++err_cnt < 10) {
+          std::cerr << "*** ERROR (Z) at " << ind << ": " << test
+                    << " != " << gold << " (gold)\n";
+        }
+      }
+    }
+  }
+  free(arr, ctxt);
+  std::cout << (err_cnt ? "FAILED\n" : "Passed\n");
+  return err_cnt ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/slm_alloc_many_kernels_many_funcs.cpp b/sycl/test-e2e/ESIMD/slm_alloc_many_kernels_many_funcs.cpp
new file mode 100644
index 0000000000000..5c6d596bf7eb0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/slm_alloc_many_kernels_many_funcs.cpp
@@ -0,0 +1,205 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || esimd_emulator
+//
+// RUN: %clangxx -fsycl %s -o %t.1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.1.out
+//
+// Vary the test case by forcing inlining of the functions with slm_allocator:
+// RUN: %clangxx -fsycl -DFORCE_INLINE %s -o %t.2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.2.out
+
+// Checks validity of SLM frame offsets in case of complex call graph with two
+// kernels and 2 functions all using SLM, and one of the functions using two
+// slm_allocator objects with nested liveness ranges.
+
+// Hierarchy of SLM frames:
+//   N1      N2
+//   | \     |
+//   |  \    |
+//   v   \   |
+//   X    \  |
+//   | \   \ |
+//   |  \   \|
+//   v   \---v
+//   Y       Z
+//
+// SLM offsets are expected to be:
+// 1) no inlining case:
+// --- Kernel0
+// X  - N1
+// Y  - N1 + X
+// Z  - max(N1 + X, N2)
+// --- Kernel2
+// X  - 0 (not reachable, offset not updated in the result)
+// Y  - 0 (not reachable, offset not updated in the result)
+// Z  - max(N1 + X, N2)
+// 2) forced inlining case:
+// --- Kernel0
+// X  - N1
+// Y  - N1 + X
+// Z  - N1 // this is because Z (bar) is inlined into X (foo) and into
+//         // N1 (kernel1), and execution of the second inlined scope
+//         // allocation and offset recording into the result happens last.
+// --- Kernel2
+// X  - 0 (not reachable, offset not updated in the result)
+// Y  - 0 (not reachable, offset not updated in the result)
+// Z  - N2
+// Note the difference in SLM offset for Z in the inlining/no-inlining cases for
+// Z scope. This is because inlining effectively splits Z scope when inlining
+// into kernel0 and kernel2
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <cstring>
+#include <iostream>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+using T = uint32_t;
+
+constexpr int SLM_N1 = 7;
+constexpr int SLM_N2 = 1;
+constexpr int SLM_X = 8;
+constexpr int SLM_Y = 16;
+constexpr int SLM_Z = 4;
+
+constexpr int LOCAL_SIZE = 2;
+constexpr int GLOBAL_SIZE = 2;
+
+template <class T> void scalar_store(T *base, uint32_t off, T val) {
+  scatter<T, 1>(base, simd<uint32_t, 1>(off * sizeof(T)), val);
+}
+
+// Result array format
+// |---- kernel0 ----|  |---- kernel2 ----|
+// x_off, y_off, z_off, x_off, y_off, z_off
+
+// Offsets in the result sub-array, to store each checked SLM frame offset at.
+enum { x_off_ind, y_off_ind, z_off_ind, num_offs };
+
+// Offsets of sub-arrays
+enum { kernel0_base = x_off_ind, kernel1_base = num_offs };
+
+#define STORE_SLM_OFF(ID, off)                                                 \
+  if (local_id == 0) {                                                         \
+    scalar_store(out, base + ID##_off_ind, off);                               \
+  }
+
+#ifdef FORCE_INLINE
+constexpr bool force_inline = true;
+#define INLINE_CTL inline __attribute__((always_inline))
+#else
+constexpr bool force_inline = false;
+#define INLINE_CTL __attribute__((noinline))
+#endif // FORCE_INLINE
+
+INLINE_CTL void bar(int local_id, T *out, unsigned base) {
+  slm_allocator<SLM_Z> a;
+  unsigned z_off = a.get_offset();
+  STORE_SLM_OFF(z, z_off);
+}
+
+INLINE_CTL void foo(int local_id, T *out, unsigned base) {
+  slm_allocator<SLM_X> a;
+  unsigned x_off = a.get_offset();
+  STORE_SLM_OFF(x, x_off);
+  bar(local_id, out, base);
+  {
+    slm_allocator<SLM_Y> b;
+    unsigned y_off = b.get_offset();
+    STORE_SLM_OFF(y, y_off);
+  }
+}
+
+int main(void) {
+  queue q;
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  std::cout << "force_inline=" << force_inline << "\n";
+  auto ctxt = q.get_context();
+
+  constexpr int num_kernels = 2;
+  T *arr = malloc_shared<T>(num_kernels * num_offs, dev, ctxt);
+  std::memset(arr, 0, num_kernels * num_offs * sizeof(T));
+
+  auto e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Kernel0>(nd_range<1>(GLOBAL_SIZE, LOCAL_SIZE),
+                                    [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+                                      slm_init(SLM_N1);
+                                      int local_id = ndi.get_local_linear_id();
+                                      foo(local_id, arr, kernel0_base);
+                                      bar(local_id, arr, kernel0_base);
+                                    });
+  });
+  e.wait();
+
+  e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Kernel2>(nd_range<1>(GLOBAL_SIZE, LOCAL_SIZE),
+                                    [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+                                      slm_init(SLM_N2);
+                                      int local_id = ndi.get_local_linear_id();
+                                      bar(local_id, arr, kernel1_base);
+                                    });
+  });
+  e.wait();
+
+  T gold_arr[num_kernels * num_offs];
+  T *gold_arr0 = &gold_arr[kernel0_base];
+  T *gold_arr1 = &gold_arr[kernel1_base];
+
+  // For kernel0 inline/no-inline results are the same for X and Y:
+  // X  - N1
+  // Y  - N1 + X
+  // Z  - max(N1 + X, N2)
+  gold_arr0[x_off_ind] = SLM_N1;
+  gold_arr0[y_off_ind] = SLM_N1 + SLM_X;
+
+  // For kernel0 inline/no-inline case splits for Z:
+#ifdef FORCE_INLINE
+  gold_arr0[z_off_ind] = SLM_N1;
+#else
+  gold_arr0[z_off_ind] = std::max(SLM_N1 + SLM_X, SLM_N2);
+#endif // FORCE_INLINE
+
+  // For kernel1 inline/no-inline results are the same for X and Y:
+  // X  - 0
+  // Y  - 0
+  gold_arr1[x_off_ind] = 0;
+  gold_arr1[y_off_ind] = 0;
+
+  // For kernel1 inline/no-inline case splits for Z:
+#ifdef FORCE_INLINE
+  gold_arr1[z_off_ind] = SLM_N2;
+#else
+  gold_arr1[z_off_ind] = std::max(SLM_N1 + SLM_X, SLM_N2);
+#endif // FORCE_INLINE
+
+  T *test_arr = arr;
+  int err_cnt = 0;
+
+  T kernel_bases[num_kernels] = {kernel0_base, kernel1_base};
+
+  for (int k = 0; k < num_kernels; k++) {
+    std::cout << "Kernel " << k << "\n";
+
+    for (int i = 0; i < num_offs; i++) {
+      T test = test_arr[kernel_bases[k] + i];
+      T gold = gold_arr[kernel_bases[k] + i];
+
+      if (test != gold) {
+        ++err_cnt;
+        std::cerr << "  *** ERROR at [" << i << "]: " << test << " != " << gold
+                  << "(gold)\n";
+      } else {
+        std::cout << "  [" << i << "]: " << test << " == " << gold
+                  << "(gold)\n";
+      }
+    }
+  }
+  std::cout << (err_cnt ? "FAILED\n" : "Passed\n");
+  return err_cnt ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/slm_alloc_many_kernels_one_func.cpp b/sycl/test-e2e/ESIMD/slm_alloc_many_kernels_one_func.cpp
new file mode 100644
index 0000000000000..7e6c9c723d0c8
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/slm_alloc_many_kernels_one_func.cpp
@@ -0,0 +1,95 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || esimd_emulator
+//
+// RUN: %clangxx -fsycl %s -o %t.1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.1.out
+//
+// Vary the test case by forcing inlining of the functions with slm_allocator:
+// RUN: %clangxx -fsycl -DFORCE_INLINE %s -o %t.2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.2.out
+
+// Check that SLM frame offset of a function foo called from two kernels Test1
+// and Test2 is the maximum of the SLM size used in both kernels.
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+using T = uint32_t;
+
+constexpr int SLM_IN_KERNEL1 = 16;
+constexpr int SLM_IN_KERNEL2 = 32;
+constexpr int SLM_IN_FOO = 4;
+constexpr int LOCAL_SIZE = 2;
+constexpr int GLOBAL_SIZE = 2;
+
+template <class T> void scalar_store(T *addr, T val) {
+  scatter<T, 1>(addr, simd<uint32_t, 1>(0), val);
+}
+
+#ifdef FORCE_INLINE
+constexpr bool force_inline = true;
+inline
+    __attribute__((always_inline))
+#else
+constexpr bool force_inline = false;
+__attribute__((noinline))
+#endif // FORCE_INLINE
+    void
+    foo(int local_id, T *addr) {
+  slm_allocator<SLM_IN_FOO> a;
+  uint32_t slm_off = a.get_offset();
+
+  if (local_id == 0) {
+    scalar_store(addr, (T)slm_off);
+  }
+}
+
+int main(void) {
+  queue q;
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  std::cout << "force_inline=" << force_inline << "\n";
+  auto ctxt = q.get_context();
+
+  T *arr = malloc_shared<T>(1, dev, ctxt);
+
+  auto e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test1>(nd_range<1>(GLOBAL_SIZE, LOCAL_SIZE),
+                                  [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+                                    slm_init(SLM_IN_KERNEL1);
+                                    int local_id = ndi.get_local_linear_id();
+                                    foo(local_id, arr);
+                                  });
+  });
+  e.wait();
+
+  e = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class Test2>(nd_range<1>(GLOBAL_SIZE, LOCAL_SIZE),
+                                  [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+                                    slm_init(SLM_IN_KERNEL2);
+                                    int local_id = ndi.get_local_linear_id();
+                                    foo(local_id, arr);
+                                  });
+  });
+  e.wait();
+
+  T gold = std::max(SLM_IN_KERNEL1, SLM_IN_KERNEL2);
+  T test = *arr;
+  int err_cnt = 0;
+
+  if (test != gold) {
+    if (++err_cnt < 10) {
+      std::cerr << "*** ERROR: " << test << " != " << gold << "(gold)\n";
+    }
+  } else {
+    std::cout << test << " == " << gold << "(gold)\n";
+  }
+  std::cout << (err_cnt ? "FAILED\n" : "Passed\n");
+  return err_cnt ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/slm_barrier.cpp b/sycl/test-e2e/ESIMD/slm_barrier.cpp
new file mode 100644
index 0000000000000..d81546892f54b
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/slm_barrier.cpp
@@ -0,0 +1,169 @@
+//==---------------- slm_barrier.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+#define LOCAL_SIZE 4
+#define GLOBAL_SIZE 6
+#define NUM_THREADS LOCAL_SIZE *GLOBAL_SIZE
+
+/// \brief transfer data from memory to SLM.
+///
+/// Load ::size bytes from memory pointer ::addr starting at ::offset to the
+/// SLM ::slmOffset. ::size must be a multiple of 256.
+///
+ESIMD_INLINE
+void load_to_slm(uint grpSize, uint localId, uint slmOffset, char *addr,
+                 uint offset, uint size) {
+  simd<uint, 16> vOffset(0, 16);
+
+  uint numTotalBlocks = size / 256;
+  uint numBlocks = numTotalBlocks / grpSize;
+  uint numLeftOver = numTotalBlocks % grpSize;
+  numBlocks += (localId < numLeftOver) ? 1 : 0;
+
+  uint threadOffsetInSLM = slmOffset + localId * 256;
+  // in bytes
+  uint threadOffsetInMemory = offset + threadOffsetInSLM;
+  // in unit of bytes
+  simd<uint, 16> vOffsets = vOffset + threadOffsetInSLM;
+
+  for (uint block = 0; block < numBlocks; block++) {
+    simd<uint, 32> row0; // 32 floats or 128 Bytes or 4 GRF-registers
+    simd<uint, 32> row1;
+    simd<uint, 64> rowTrans;
+    row0.copy_from((const uint *)(addr + threadOffsetInMemory));
+    row1.copy_from((const uint *)(addr + threadOffsetInMemory + 128));
+
+    // Transpose
+    rowTrans.select<8, 1>(0) = row0.select<8, 4>(0);
+    rowTrans.select<8, 1>(16) = row0.select<8, 4>(1);
+    rowTrans.select<8, 1>(32) = row0.select<8, 4>(2);
+    rowTrans.select<8, 1>(48) = row0.select<8, 4>(3);
+
+    rowTrans.select<8, 1>(8) = row1.select<8, 4>(0);
+    rowTrans.select<8, 1>(24) = row1.select<8, 4>(1);
+    rowTrans.select<8, 1>(40) = row1.select<8, 4>(2);
+    rowTrans.select<8, 1>(56) = row1.select<8, 4>(3);
+
+    slm_scatter_rgba<uint, 16, rgba_channel_mask::ABGR>(vOffsets, rowTrans);
+    threadOffsetInMemory += grpSize * 256;
+    vOffsets += (grpSize * 256);
+  }
+
+  esimd::barrier();
+}
+
+int main(void) {
+  constexpr unsigned VL = 16;
+  constexpr unsigned Size = NUM_THREADS * VL;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  uint *A = malloc_shared<uint>(Size, q);
+  uint *B = malloc_shared<uint>(Size, q);
+
+  // Checking with specific inputs
+  for (int i = 0; i < NUM_THREADS; i++) {
+    uint *A_int = (uint *)(A + i * VL);
+    for (int j = 0; j < VL; j++) {
+      A_int[j] = i + j;
+      std::cout << A_int[j] << " ";
+    }
+    std::cout << std::endl;
+  }
+
+  // We need that many workitems
+  range<1> GlobalRange{GLOBAL_SIZE};
+
+  // Number of workitems in a workgroup
+  range<1> LocalRange{LOCAL_SIZE};
+  nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            simd<uint, VL> v_slmData;
+            simd<uint, VL> v_Off(0, 4);
+
+            uint localID = ndi.get_local_id(0);
+            uint groupSize = ndi.get_local_range(0);
+            uint globalID = ndi.get_global_id(0);
+            uint groupID = ndi.get_group(0);
+
+            slm_init<1024>();
+
+            int grpMemOffset = groupID * groupSize * VL * 4;
+
+            load_to_slm(groupSize, localID, 0, (char *)A, grpMemOffset,
+                        groupSize * VL * 4);
+
+            auto shiftID = (localID + 1) % 4;
+
+            v_Off = v_Off + shiftID * 64;
+
+            v_slmData = slm_gather<uint, VL>(v_Off);
+
+            v_slmData.copy_to(B + globalID * VL);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    return 1;
+  }
+
+  std::cout << "result" << std::endl;
+  int result = 0;
+  for (int i = 0; i < NUM_THREADS; i++) {
+    unsigned int *p = (unsigned int *)(B + i * VL);
+    if ((i % 4) != 3) {
+      for (int j = 0; j < VL; j++) {
+        std::cout << (*p) << " ";
+        if (*p != (i + 1 + j)) {
+          result = -1;
+        }
+        p++;
+      }
+    } else {
+      for (int j = 0; j < VL; j++) {
+        std::cout << (*p) << " ";
+        if (*p != (i - 3 + j)) {
+          result = -1;
+        }
+        p++;
+      }
+    }
+    std::cout << std::endl;
+  }
+
+  free(A, q);
+  free(B, q);
+  std::cout << (result < 0 ? "FAILED\n" : "Passed\n");
+  return result < 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/slm_split_barrier.cpp b/sycl/test-e2e/ESIMD/slm_split_barrier.cpp
new file mode 100644
index 0000000000000..20f2637e00de4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/slm_split_barrier.cpp
@@ -0,0 +1,172 @@
+//==----------- slm_split_barrier.cpp  - DPC++ ESIMD on-device test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+using namespace sycl::ext::intel::experimental::esimd;
+
+#define LOCAL_SIZE 4
+#define GLOBAL_SIZE 6
+#define NUM_THREADS LOCAL_SIZE *GLOBAL_SIZE
+
+/// \brief transfer data from memory to SLM.
+///
+/// Load ::size bytes from memory pointer ::addr starting at ::offset to the
+/// SLM ::slmOffset. ::size must be a multiple of 256.
+///
+ESIMD_INLINE
+void load_to_slm(uint grpSize, uint localId, uint slmOffset, char *addr,
+                 uint offset, uint size) {
+  simd<uint, 16> vOffset(0, 16);
+
+  uint numTotalBlocks = size / 256;
+  uint numBlocks = numTotalBlocks / grpSize;
+  uint numLeftOver = numTotalBlocks % grpSize;
+  numBlocks += (localId < numLeftOver) ? 1 : 0;
+
+  uint threadOffsetInSLM = slmOffset + localId * 256;
+  // in bytes
+  uint threadOffsetInMemory = offset + threadOffsetInSLM;
+  // in unit of bytes
+  simd<uint, 16> vOffsets = vOffset + threadOffsetInSLM;
+
+  for (uint block = 0; block < numBlocks; block++) {
+    simd<uint, 32> row0; // 32 floats or 128 Bytes or 4 GRF-registers
+    simd<uint, 32> row1;
+    simd<uint, 64> rowTrans;
+    row0.copy_from((const uint *)(addr + threadOffsetInMemory));
+    row1.copy_from((const uint *)(addr + threadOffsetInMemory + 128));
+
+    // Transpose
+    rowTrans.select<8, 1>(0) = row0.select<8, 4>(0);
+    rowTrans.select<8, 1>(16) = row0.select<8, 4>(1);
+    rowTrans.select<8, 1>(32) = row0.select<8, 4>(2);
+    rowTrans.select<8, 1>(48) = row0.select<8, 4>(3);
+
+    rowTrans.select<8, 1>(8) = row1.select<8, 4>(0);
+    rowTrans.select<8, 1>(24) = row1.select<8, 4>(1);
+    rowTrans.select<8, 1>(40) = row1.select<8, 4>(2);
+    rowTrans.select<8, 1>(56) = row1.select<8, 4>(3);
+
+    slm_scatter_rgba<uint, 16, rgba_channel_mask::ABGR>(vOffsets, rowTrans);
+    threadOffsetInMemory += grpSize * 256;
+    vOffsets += (grpSize * 256);
+  }
+
+  // add memory fence and split barriers
+  fence<fence_mask::global_coherent_fence>();
+  split_barrier<split_barrier_action::signal>();
+  split_barrier<split_barrier_action::wait>();
+}
+
+int main(void) {
+  constexpr unsigned VL = 16;
+  constexpr unsigned Size = NUM_THREADS * VL;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  uint *A = malloc_shared<uint>(Size, q);
+  uint *B = malloc_shared<uint>(Size, q);
+
+  // Checking with specific inputs
+  for (int i = 0; i < NUM_THREADS; i++) {
+    uint *A_int = (uint *)(A + i * VL);
+    for (int j = 0; j < VL; j++) {
+      A_int[j] = i + j;
+      std::cout << A_int[j] << " ";
+    }
+    std::cout << std::endl;
+  }
+
+  // We need that many workitems
+  sycl::range<1> GlobalRange{GLOBAL_SIZE};
+
+  // Number of workitems in a workgroup
+  sycl::range<1> LocalRange{LOCAL_SIZE};
+  sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          Range, [=](sycl::nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            simd<uint, VL> v_slmData;
+            simd<uint, VL> v_Off(0, 4);
+
+            uint localID = ndi.get_local_id(0);
+            uint groupSize = ndi.get_local_range(0);
+            uint globalID = ndi.get_global_id(0);
+            uint groupID = ndi.get_group(0);
+
+            slm_init<1024>();
+
+            int grpMemOffset = groupID * groupSize * VL * 4;
+
+            load_to_slm(groupSize, localID, 0, (char *)A, grpMemOffset,
+                        groupSize * VL * 4);
+
+            auto shiftID = (localID + 1) % 4;
+
+            v_Off = v_Off + shiftID * 64;
+
+            v_slmData = slm_gather<uint, VL>(v_Off);
+
+            v_slmData.copy_to(B + globalID * VL);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    sycl::free(B, q);
+    return e.code().value();
+  }
+
+  std::cout << "result" << std::endl;
+  int result = 0;
+  for (int i = 0; i < NUM_THREADS; i++) {
+    unsigned int *p = (unsigned int *)(B + i * VL);
+    if ((i % 4) != 3) {
+      for (int j = 0; j < VL; j++) {
+        std::cout << (*p) << " ";
+        if (*p != (i + 1 + j)) {
+          result = -1;
+        }
+        p++;
+      }
+    } else {
+      for (int j = 0; j < VL; j++) {
+        std::cout << (*p) << " ";
+        if (*p != (i - 3 + j)) {
+          result = -1;
+        }
+        p++;
+      }
+    }
+    std::cout << std::endl;
+  }
+  sycl::free(A, q);
+  sycl::free(B, q);
+
+  std::cout << (result < 0 ? "FAILED\n" : "Passed\n");
+  return result < 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/spec_const/Inputs/spec-const-2020-common.hpp b/sycl/test-e2e/ESIMD/spec_const/Inputs/spec-const-2020-common.hpp
new file mode 100644
index 0000000000000..8c15561771913
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/Inputs/spec-const-2020-common.hpp
@@ -0,0 +1,83 @@
+// The test checks that ESIMD kernels support SYCL 2020 specialization constants
+// for all basic types, particularly a specialization constant can be redifined
+// and correct new value is used after redefinition.
+
+#include "esimd_test_utils.hpp"
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <vector>
+
+using namespace sycl;
+
+template <typename AccessorTy>
+ESIMD_INLINE void do_store(AccessorTy acc, int i, spec_const_t val) {
+  using namespace sycl::ext::intel::esimd;
+  // scatter function, that is used in scalar_store, can only process types
+  // whose size is no more than 4 bytes.
+#if (STORE == 0)
+  // bool
+  scalar_store<container_t>(acc, i * sizeof(container_t), val ? 1 : 0);
+#elif (STORE == 1)
+  // block
+  block_store<container_t>(acc, i * sizeof(container_t),
+                           simd<spec_const_t, 2>{val});
+#else
+  static_assert(STORE == 2, "Unspecified store");
+  // scalar
+  scalar_store<container_t>(acc, i * sizeof(container_t), val);
+#endif
+}
+
+class TestKernel;
+
+constexpr specialization_id<spec_const_t> ConstID(DEF_VAL);
+
+int main(int argc, char **argv) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  if (std::is_same_v<spec_const_t, double> && !dev.has(aspect::fp64))
+    return 0;
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  std::vector<container_t> etalon = {DEF_VAL, REDEF_VAL};
+  const size_t n_times = etalon.size();
+  std::vector<container_t> output(n_times);
+
+  bool passed = true;
+  for (int i = 0; i < n_times; i++) {
+    try {
+      sycl::buffer<container_t, 1> buf(output.data(), output.size());
+
+      q.submit([&](sycl::handler &cgh) {
+         auto acc = buf.get_access<sycl::access::mode::write>(cgh);
+         if (i % 2 != 0)
+           cgh.set_specialization_constant<ConstID>(REDEF_VAL);
+         cgh.single_task<TestKernel>([=](kernel_handler kh) SYCL_ESIMD_KERNEL {
+           do_store(acc, i, kh.get_specialization_constant<ConstID>());
+         });
+       }).wait();
+    } catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return 1;
+    }
+
+    if (output[i] != etalon[i]) {
+      passed = false;
+      std::cout << "comparison error -- case #" << i << " -- ";
+      std::cout << "output: " << output[i] << ", ";
+      std::cout << "etalon: " << etalon[i] << std::endl;
+    }
+  }
+
+  if (passed) {
+    std::cout << "passed" << std::endl;
+    return 0;
+  }
+
+  std::cout << "FAILED" << std::endl;
+  return 1;
+}
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_bool.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_bool.cpp
new file mode 100644
index 0000000000000..a093271b11a52
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_bool.cpp
@@ -0,0 +1,27 @@
+//==--------------- spec_const_bool.cpp  - DPC++ ESIMD on-device test -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL true
+#define REDEF_VAL false
+#define STORE 0
+
+// In this case container type is set to unsigned char to be able to use
+// esimd memory interfaces to pollute container.
+using spec_const_t = bool;
+using container_t = uint8_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_char.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_char.cpp
new file mode 100644
index 0000000000000..94f90c2f010ed
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_char.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_char.cpp  - DPC++ ESIMD on-device test -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL -22
+#define REDEF_VAL 33
+#define STORE 2
+
+using spec_const_t = int8_t;
+using container_t = int8_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_double.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_double.cpp
new file mode 100644
index 0000000000000..96a0fc1bd736d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_double.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_double.cpp  - DPC++ ESIMD on-device test ---===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL 9.1029384756e+11
+#define REDEF_VAL -1.4432211654e-10
+#define STORE 1
+
+using spec_const_t = double;
+using container_t = double;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_float.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_float.cpp
new file mode 100644
index 0000000000000..ffcfa65c3ac88
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_float.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_float.cpp  - DPC++ ESIMD on-device test ----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL -1.456789e-5
+#define REDEF_VAL 2.9865432e+5
+#define STORE 2
+
+using spec_const_t = float;
+using container_t = float;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_int.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_int.cpp
new file mode 100644
index 0000000000000..6a46342c145e6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_int.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_int.cpp  - DPC++ ESIMD on-device test ------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL 100500
+#define REDEF_VAL -44556677
+#define STORE 2
+
+using spec_const_t = int32_t;
+using container_t = int32_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_int64.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_int64.cpp
new file mode 100644
index 0000000000000..1b18e42beef64
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_int64.cpp
@@ -0,0 +1,25 @@
+//==-------------- spec_const_int64.cpp  - DPC++ ESIMD on-device test -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL -99776644220011ll
+#define REDEF_VAL 22001144668855ll
+#define STORE 1
+
+using spec_const_t = int64_t;
+using container_t = int64_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_short.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_short.cpp
new file mode 100644
index 0000000000000..e75790eddaa45
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_short.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_short.cpp  - DPC++ ESIMD on-device test ----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL -30572
+#define REDEF_VAL 24794
+#define STORE 2
+
+using spec_const_t = int16_t;
+using container_t = int16_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_uchar.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_uchar.cpp
new file mode 100644
index 0000000000000..8507271ef0ef6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_uchar.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_uchar.cpp  - DPC++ ESIMD on-device test ----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL 128
+#define REDEF_VAL 33
+#define STORE 2
+
+using spec_const_t = uint8_t;
+using container_t = uint8_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_uint.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_uint.cpp
new file mode 100644
index 0000000000000..b3473bc6060a2
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_uint.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_uint.cpp  - DPC++ ESIMD on-device test -----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL 0xdeadcafe
+#define REDEF_VAL 0x4badbeaf
+#define STORE 2
+
+using spec_const_t = uint32_t;
+using container_t = uint32_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_uint64.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_uint64.cpp
new file mode 100644
index 0000000000000..a485fd4f55216
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_uint64.cpp
@@ -0,0 +1,25 @@
+//==-------------- spec_const_uint64.cpp  - DPC++ ESIMD on-device test ----===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL 0xdeaddeaf4badbeafull
+#define REDEF_VAL 0x4cafebad00112233ull
+#define STORE 1
+
+using spec_const_t = uint64_t;
+using container_t = uint64_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/spec_const_ushort.cpp b/sycl/test-e2e/ESIMD/spec_const/spec_const_ushort.cpp
new file mode 100644
index 0000000000000..6fea3f1219141
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/spec_const_ushort.cpp
@@ -0,0 +1,25 @@
+//==--------------- spec_const_ushort.cpp  - DPC++ ESIMD on-device test ---===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl -I%S/.. %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// TODO online_compiler check fails for esimd_emulator
+// XFAIL: esimd_emulator
+
+#include <cstdint>
+
+#define DEF_VAL 0xcafe
+#define REDEF_VAL 0xdeaf
+#define STORE 2
+
+using spec_const_t = uint16_t;
+using container_t = uint16_t;
+
+#include "Inputs/spec-const-2020-common.hpp"
diff --git a/sycl/test-e2e/ESIMD/spec_const/unused_spec_const.cpp b/sycl/test-e2e/ESIMD/spec_const/unused_spec_const.cpp
new file mode 100644
index 0000000000000..cbcf7f01ac8c6
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/spec_const/unused_spec_const.cpp
@@ -0,0 +1,53 @@
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks that if specialization constant is set but not used, then
+// 1) The kernel still works properly;
+// 2) The kernel parameter holding the buffer for specialization constants is
+//    optimized away.
+//    TODO: the second part of the check should be added to this test when
+//    DAE (Dead Arguments Elimination) optimization is enabled for ESIMD.
+
+#include <CL/sycl.hpp>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+
+constexpr sycl::specialization_id<int> Spec;
+
+int main() {
+  sycl::queue Q;
+  std::cout << "Running on: "
+            << Q.get_device().get_info<sycl::info::device::name>() << std::endl;
+
+  int *A = sycl::malloc_shared<int>(1, Q);
+  *A = 123;
+  Q.submit([&](sycl::handler &CGH) {
+     CGH.set_specialization_constant<Spec>(42);
+     CGH.single_task([=](sycl::kernel_handler KH) SYCL_ESIMD_KERNEL {
+       // This use of get_specializaiton_constant is commented out.
+       // Thus the device code doen't have info about it and cannot allocate
+       // memory/buffer for it on device side.
+       // The test checks that the unused kernel parameter is either
+       // eliminated by DAE optimization OR nullptr is passed for that argument.
+
+       // KH.get_specialization_constant<Spec>();
+       sycl::ext::intel::esimd::simd<int, 1> V(A);
+       V += 2;
+       V.copy_to(A);
+     });
+   }).wait();
+
+  int AVal = *A;
+  sycl::free(A, Q);
+
+  if (AVal != 125) {
+    std::cout << "Failed: " << AVal << " != 125" << std::endl;
+    return 1;
+  }
+  std::cout << "Passed" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/stencil2.cpp b/sycl/test-e2e/ESIMD/stencil2.cpp
new file mode 100644
index 0000000000000..cd6d23b75c1bd
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/stencil2.cpp
@@ -0,0 +1,225 @@
+//==---------------- stencil2.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+#define WIDTH 16
+#define HEIGHT 16
+
+#define GET_IDX(row, col) ((row)*32 + col)
+
+using namespace sycl;
+
+void InitializeSquareMatrix(float *matrix, size_t const Dim,
+                            bool const bSkipDataGeneration) {
+  memset(matrix, 0, Dim * Dim * sizeof(float));
+  if (!bSkipDataGeneration) {
+    for (unsigned int iRow = 0; iRow < Dim; ++iRow) {
+      for (unsigned int iCol = 0; iCol < Dim; ++iCol) {
+        matrix[iRow * Dim + iCol] = static_cast<float>(iRow + iCol);
+      }
+    }
+  }
+}
+
+bool CheckResults(float *out, float *in, unsigned n) {
+  for (unsigned int i = 0; i < n; i++) {
+    for (unsigned int j = 0; j < n; j++) {
+      if ((5 <= i) && (i < n - 5) && (5 <= j) && (j < n - 5)) {
+        float res = +in[(i - 5) * n + (j + 0)] * -0.02f +
+                    in[(i - 4) * n + (j + 0)] * -0.025f +
+                    in[(i - 3) * n + (j + 0)] * -0.0333333333333f +
+                    in[(i - 2) * n + (j + 0)] * -0.05f +
+                    in[(i - 1) * n + (j + 0)] * -0.1f +
+                    in[(i + 0) * n + (j - 5)] * -0.02f +
+                    in[(i + 0) * n + (j - 4)] * -0.025f +
+                    in[(i + 0) * n + (j - 3)] * -0.0333333333333f +
+                    in[(i + 0) * n + (j - 2)] * -0.05f +
+                    in[(i + 0) * n + (j - 1)] * -0.1f +
+                    in[(i + 0) * n + (j + 1)] * 0.1f +
+                    in[(i + 0) * n + (j + 2)] * 0.05f +
+                    in[(i + 0) * n + (j + 3)] * 0.0333333333333f +
+                    in[(i + 0) * n + (j + 4)] * 0.025f +
+                    in[(i + 0) * n + (j + 5)] * 0.02f +
+                    in[(i + 1) * n + (j + 0)] * 0.1f +
+                    in[(i + 2) * n + (j + 0)] * 0.05f +
+                    in[(i + 3) * n + (j + 0)] * 0.0333333333333f +
+                    in[(i + 4) * n + (j + 0)] * 0.025f +
+                    in[(i + 5) * n + (j + 0)] * 0.02f;
+
+        // check result
+        if (abs(res - out[i * n + j]) >= 0.0015f) {
+          std::cout << "out[" << i << "][" << j << "] = " << out[i * n + j]
+                    << " expect result " << res << std::endl;
+          return false;
+        }
+      }
+    }
+  }
+  return true;
+}
+
+int main(int argc, char *argv[]) {
+  if (argc > 2) {
+    std::cerr << "Usage: stencil.exe [dim_size]" << std::endl;
+    exit(1);
+  }
+  // Default dimension size is 1024
+  const unsigned DIM_SIZE = (argc == 2) ? atoi(argv[1]) : 1 << 10;
+  const unsigned SQUARE_SZ = DIM_SIZE * DIM_SIZE + 16;
+  uint range_width =
+      (DIM_SIZE - 10) / WIDTH + (((DIM_SIZE - 10) % WIDTH == 0) ? 0 : 1);
+  uint range_height =
+      (DIM_SIZE - 10) / HEIGHT + (((DIM_SIZE - 10) % HEIGHT == 0) ? 0 : 1);
+  sycl::range<2> GlobalRange{range_width, range_height};
+
+  std::cout << "width = " << range_width << " height = " << range_height
+            << std::endl;
+  sycl::range<2> LocalRange{1, 1};
+
+  queue q = esimd_test::createQueue();
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  auto ctxt = q.get_context();
+
+  // create and init matrices
+  float *inputMatrix =
+      static_cast<float *>(malloc_shared(SQUARE_SZ * sizeof(float), dev, ctxt));
+  float *outputMatrix =
+      static_cast<float *>(malloc_shared(SQUARE_SZ * sizeof(float), dev, ctxt));
+  InitializeSquareMatrix(inputMatrix, DIM_SIZE, false);
+  InitializeSquareMatrix(outputMatrix, DIM_SIZE, true);
+
+  // Start Timer
+  esimd_test::Timer timer;
+  double start;
+
+  double kernel_times = 0;
+  unsigned num_iters = 10;
+  const bool profiling =
+      q.has_property<sycl::property::queue::enable_profiling>();
+
+  try {
+    for (int iter = 0; iter <= num_iters; ++iter) {
+      auto e = q.submit([&](handler &cgh) {
+        cgh.parallel_for<class Stencil_kernel>(
+            GlobalRange * LocalRange, [=](item<2> it) SYCL_ESIMD_KERNEL {
+              using namespace sycl::ext::intel::esimd;
+              uint h_pos = it.get_id(0);
+              uint v_pos = it.get_id(1);
+
+              simd<float, (HEIGHT + 10) * 32> vin;
+              // matrix HEIGHT+10 x 32
+              auto in = vin.bit_cast_view<float, HEIGHT + 10, 32>();
+
+              //
+              // rather than loading all data in
+              // the code will interleave data loading and compute
+              // first, we load enough data for the first 16 pixels
+              //
+              unsigned off = (v_pos * HEIGHT) * DIM_SIZE + h_pos * WIDTH;
+#pragma unroll
+              for (unsigned i = 0; i < 10; i++) {
+                simd<float, 32> data;
+                data.copy_from(inputMatrix + off);
+                in.row(i) = data;
+                off += DIM_SIZE;
+              }
+
+              unsigned out_off =
+                  (((v_pos * HEIGHT + 5) * DIM_SIZE + (h_pos * WIDTH) + 5)) *
+                  sizeof(float);
+              simd<unsigned, WIDTH> elm16(0, 1);
+
+#pragma unroll
+              for (unsigned i = 0; i < HEIGHT; i++) {
+                simd<float, 32> data;
+                data.copy_from(inputMatrix + off);
+                in.row(10 + i) = data;
+                off += DIM_SIZE;
+
+                simd<float, WIDTH> sum =
+                    vin.select<WIDTH, 1>(GET_IDX(i, 5)) * -0.02f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 1, 5)) * -0.025f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 2, 5)) *
+                        -0.0333333333333f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 3, 5)) * -0.05f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 4, 5)) * -0.1f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 0)) * -0.02f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 1)) * -0.025f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 2)) *
+                        -0.0333333333333f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 3)) * -0.05f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 4)) * -0.1f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 6)) * 0.1f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 7)) * 0.05f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 8)) * 0.0333333333333f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 9)) * 0.025f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 5, 10)) * 0.02f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 6, 5)) * 0.1f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 7, 5)) * 0.05f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 8, 5)) * 0.0333333333333f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 9, 5)) * 0.025f +
+                    vin.select<WIDTH, 1>(GET_IDX(i + 10, 5)) * 0.02f;
+
+                // predciate output
+                simd_mask<WIDTH> p = (elm16 + h_pos * WIDTH) < (DIM_SIZE - 10);
+
+                simd<unsigned, WIDTH> elm16_off =
+                    elm16 * sizeof(float) + out_off;
+                scatter<float, WIDTH>(outputMatrix, elm16_off, sum, p);
+                out_off += DIM_SIZE * sizeof(float);
+
+                if (v_pos * HEIGHT + 10 + i >= DIM_SIZE - 1)
+                  break;
+              }
+            });
+      });
+      e.wait();
+      if (profiling) {
+        double etime = esimd_test::report_time("kernel time", e, e);
+        if (iter > 0)
+          kernel_times += etime;
+      }
+      if (iter == 0)
+        start = timer.Elapsed();
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(inputMatrix, ctxt);
+    free(outputMatrix, ctxt);
+    return 1;
+  }
+
+  // End timer.
+  double end = timer.Elapsed();
+
+  esimd_test::display_timing_stats(profiling ? &kernel_times : nullptr,
+                                   num_iters, (end - start) * 1000);
+
+  // check result
+  bool passed = CheckResults(outputMatrix, inputMatrix, DIM_SIZE);
+  if (passed) {
+    std::cout << "PASSED" << std::endl;
+  } else {
+    std::cout << "FAILED" << std::endl;
+  }
+  free(inputMatrix, ctxt);
+  free(outputMatrix, ctxt);
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/sycl_esimd_mix.cpp b/sycl/test-e2e/ESIMD/sycl_esimd_mix.cpp
new file mode 100644
index 0000000000000..75c39a06353b3
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/sycl_esimd_mix.cpp
@@ -0,0 +1,150 @@
+//==----------- sycl_esimd_mix.cpp  - DPC++ ESIMD on-device test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This is basic test for mixing SYCL and ESIMD kernels in the same source and
+// in the same program .
+
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// TODO/FIXME: esimd_emulator does not support online compilation that
+//             invokes 'piProgramBuild'/'piKernelCreate'
+// UNSUPPORTED: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-NO-VAR
+// RUN: env SYCL_PROGRAM_COMPILE_OPTIONS="-g" SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER --check-prefixes=CHECK,CHECK-WITH-VAR
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+bool checkResult(const std::vector<float> &A, int Inc) {
+  int err_cnt = 0;
+  unsigned Size = A.size();
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != i + Inc)
+      if (++err_cnt < 10)
+        std::cerr << "failed at A[" << i << "]: " << A[i] << " != " << i + Inc
+                  << "\n";
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+    return false;
+  }
+  return true;
+}
+
+int main(void) {
+  constexpr unsigned Size = 32;
+  constexpr unsigned VL = 16;
+
+  std::vector<float> A(Size);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{1};
+
+    queue q(gpu_selector_v, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class SyclKernel>(GlobalRange * LocalRange,
+                                         [=](id<1> i) { PA[i] = PA[i] + 1; });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 1)) {
+    std::cout << "SYCL kernel passed\n";
+  } else {
+    std::cout << "SYCL kernel failed\n";
+    return 1;
+  }
+
+  try {
+    buffer<float, 1> bufa(A.data(), range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size / VL};
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{1};
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class EsimdKernel>(
+          GlobalRange * LocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            simd<float, VL> vc = va + 1;
+            vc.copy_to(PA, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (checkResult(A, 2)) {
+    std::cout << "ESIMD kernel passed\n";
+  } else {
+    std::cout << "ESIMD kernel failed\n";
+    return 1;
+  }
+  return 0;
+}
+
+// Regular SYCL kernel is compiled without -vc-codegen option
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NOT: -vc-codegen
+// CHECK-WITH-VAR: -g
+// CHECK-NOT: -vc-codegen
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}SyclKernel
+// CHECK: ) ---> pi_result : PI_SUCCESS
+
+// For ESIMD kernels, -vc-codegen option is always preserved,
+// regardless of SYCL_PROGRAM_COMPILE_OPTIONS value.
+
+// CHECK-LABEL: ---> piProgramBuild(
+// CHECK-NO-VAR: -vc-codegen
+// CHECK-WITH-VAR: -g -vc-codegen
+// CHECK: ) ---> pi_result : PI_SUCCESS
+// CHECK-LABEL: ---> piKernelCreate(
+// CHECK: <const char *>: {{.*}}EsimdKernel
+// CHECK: ) ---> pi_result : PI_SUCCESS
diff --git a/sycl/test-e2e/ESIMD/template.cpp b/sycl/test-e2e/ESIMD/template.cpp
new file mode 100644
index 0000000000000..531c93f57fdb0
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/template.cpp
@@ -0,0 +1,105 @@
+//==---------------- template.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr unsigned Size = 1024 * 128;
+constexpr unsigned VL = 16;
+
+template <typename T>
+sycl::event createKernel(sycl::queue &q, buffer<T, 1> &bufa, buffer<T, 1> &bufb,
+                         buffer<T, 1> &bufc) {
+  // We need that many workgroups
+  range<1> GlobalRange{Size / VL};
+
+  // We need that many threads in each group
+  range<1> LocalRange{1};
+  return q.submit([&](handler &cgh) {
+    auto PA = bufa.template get_access<access::mode::read>(cgh);
+    auto PB = bufb.template get_access<access::mode::read>(cgh);
+    auto PC = bufc.template get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class Test>(GlobalRange * LocalRange,
+                                 [=](id<1> i) SYCL_ESIMD_KERNEL {
+                                   using namespace sycl::ext::intel::esimd;
+                                   unsigned int offset = i * VL * sizeof(T);
+                                   simd<T, VL> va;
+                                   va.copy_from(PA, offset);
+                                   simd<T, VL> vb;
+                                   vb.copy_from(PB, offset);
+                                   simd<T, VL> vc = va + vb;
+                                   vc.copy_to(PC, offset);
+                                 });
+  });
+}
+
+int main(void) {
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+    auto e = createKernel(q, bufa, bufb, bufc);
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/test_id_3d.cpp b/sycl/test-e2e/ESIMD/test_id_3d.cpp
new file mode 100644
index 0000000000000..d8ccb8c0f2b55
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/test_id_3d.cpp
@@ -0,0 +1,80 @@
+//==---------------- test_id_3d.cpp  - DPC++ ESIMD on-device test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks that multi-dimensional sycl::item can be used in ESIMD
+// kernels.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned LocalSizeX = 32;
+  constexpr unsigned VL = 8;
+  sycl::range<3> GroupRange{2, 3, 4};
+  sycl::range<3> LocalRange{2, 3, LocalSizeX / VL};
+  sycl::range<3> GlobalRange = GroupRange * LocalRange;
+  sycl::range<3> ScalarGlobalRange = GlobalRange * sycl::range<3>{1, 1, VL};
+  size_t Y = GlobalRange[1];
+  size_t X = GlobalRange[2];
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+  int *C = malloc_shared<int>(ScalarGlobalRange.size(), q);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          GlobalRange, [=](item<3> it) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            auto id = it.get_id();
+            // calculate linear ID:
+            size_t lin_id = id[0] * Y * X + id[1] * X + id[2];
+            simd<int, VL> inc(0, 1);
+            int off = (int)(lin_id * VL);
+            simd<int, VL> val = inc + off;
+            val.copy_to(C + off);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(C, q);
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (size_t i = 0; i < ScalarGlobalRange.size(); ++i) {
+    if (C[i] != (int)i) {
+      if (++err_cnt < 10) {
+        std::cerr << "*** ERROR at " << i << ": " << C[i] << "!=" << i
+                  << " (gold)\n";
+      }
+    }
+  }
+  free(C, q);
+  if (err_cnt > 0) {
+    std::cout << "FAILED. " << err_cnt << "/" << ScalarGlobalRange.size()
+              << " errors\n";
+    return 1;
+  }
+  std::cout << "passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/thread_id_test.cpp b/sycl/test-e2e/ESIMD/thread_id_test.cpp
new file mode 100644
index 0000000000000..7f800a7fbe16d
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/thread_id_test.cpp
@@ -0,0 +1,95 @@
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: gpu && !esimd_emulator
+//==- thread_id_test.cpp - Test to verify thread id functionlity-==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This is basic test to validate thread id functions.
+// TODO: Enable the test once the GPU RT supporting the functionality reaches
+// the CI
+
+#include <cmath>
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/esimd/simd.hpp>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+int ErrCnt = 0;
+template <typename DataT>
+using shared_allocator = sycl::usm_allocator<DataT, sycl::usm::alloc::shared>;
+template <typename DataT>
+using shared_vector = std::vector<DataT, shared_allocator<DataT>>;
+
+int test_thread_id() {
+  sycl::queue Queue;
+  shared_allocator<int32_t> Allocator(Queue);
+  constexpr int32_t SIZE = 32;
+
+  shared_vector<int32_t> VectorOutputThreadId(SIZE, -1, Allocator);
+  shared_vector<int32_t> VectorOutputSubdeviceId(SIZE, -1, Allocator);
+
+  auto GlobalRange = sycl::range<1>(SIZE);
+  sycl::range<1> LocalRange{1};
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  {
+    Queue.submit([&](sycl::handler &cgh) {
+      int32_t *VectorOutputThreadIdPtr = VectorOutputThreadId.data();
+      int32_t *VectorOutputSubdeviceIdPtr = VectorOutputSubdeviceId.data();
+
+      auto Kernel = ([=](sycl::nd_item<1> ndi) [[intel::sycl_explicit_simd]] {
+        using namespace sycl::ext::intel::esimd;
+        auto Idx = ndi.get_global_id(0);
+
+        simd<int32_t, 1> VectorResultThreadId =
+            sycl::ext::intel::experimental::esimd::get_hw_thread_id();
+        simd<int32_t, 1> VectorResultSubdeviceId =
+            sycl::ext::intel::experimental::esimd::get_subdevice_id();
+
+        VectorResultThreadId.copy_to(VectorOutputThreadIdPtr + Idx);
+        VectorResultSubdeviceId.copy_to(VectorOutputSubdeviceIdPtr + Idx);
+      });
+
+      cgh.parallel_for(Range, Kernel);
+    });
+    Queue.wait();
+  }
+
+  int Result = 0;
+
+  // Check if all returned elements are non negative
+  Result |=
+      !std::all_of(VectorOutputSubdeviceId.begin(),
+                   VectorOutputSubdeviceId.end(), [](int i) { return i >= 0; });
+  Result |=
+      !std::all_of(VectorOutputThreadId.begin(), VectorOutputThreadId.end(),
+                   [](int i) { return i >= 0; });
+
+  // Check if returned values are not the same
+  std::sort(VectorOutputThreadId.begin(), VectorOutputThreadId.end());
+  Result |=
+      std::equal(VectorOutputThreadId.begin() + 1, VectorOutputThreadId.end(),
+                 VectorOutputThreadId.begin());
+
+  return Result;
+}
+
+int main() {
+
+  int TestResult = 0;
+
+  TestResult |= test_thread_id();
+
+  if (!TestResult) {
+    std::cout << "Pass" << std::endl;
+  }
+  return TestResult;
+}
diff --git a/sycl/test-e2e/ESIMD/usm_gather_scatter_rgba.cpp b/sycl/test-e2e/ESIMD/usm_gather_scatter_rgba.cpp
new file mode 100644
index 0000000000000..67e6983bf46f4
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/usm_gather_scatter_rgba.cpp
@@ -0,0 +1,200 @@
+//==-------- usm_gather_scatter_rgba.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the gather_rgba/scatter_rgba USM-based ESIMD
+// intrinsics.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#ifdef USE_64_BIT_OFFSET
+typedef uint64_t Toffset;
+#else
+typedef uint32_t Toffset;
+#endif
+
+constexpr int MASKED_LANE_NUM_REV = 1;
+constexpr int NUM_RGBA_CHANNELS =
+    get_num_channels_enabled(sycl::ext::intel::esimd::rgba_channel_mask::ABGR);
+
+template <typename T, unsigned VL, unsigned STRIDE, auto CH_MASK>
+struct Kernel {
+  T *bufIn;
+  T *bufOut;
+  Kernel(T *bufIn, T *bufOut) : bufIn(bufIn), bufOut(bufOut) {}
+
+  void operator()(id<1> i) const SYCL_ESIMD_KERNEL {
+    using namespace sycl::ext::intel::esimd;
+    constexpr int numChannels = get_num_channels_enabled(CH_MASK);
+
+    // every workitem accesses contiguous block of VL * STRIDE elements,
+    // where each element consists of RGBA channels.
+    uint32_t global_offset = i * VL * STRIDE * NUM_RGBA_CHANNELS;
+
+    simd<Toffset, VL> byteOffsets(0, STRIDE * sizeof(T) * NUM_RGBA_CHANNELS);
+    simd<T, VL * numChannels> v;
+    if constexpr (CH_MASK == rgba_channel_mask::ABGR)
+      // Check that the default mask value is ABGR.
+      v = gather_rgba(bufIn + global_offset, byteOffsets);
+    else
+      v = gather_rgba<CH_MASK>(bufIn + global_offset, byteOffsets);
+    v += (int)i;
+
+    simd_mask<VL> pred = 1;
+    pred[VL - MASKED_LANE_NUM_REV] = 0; // mask out the last lane
+    if constexpr (CH_MASK == rgba_channel_mask::ABGR)
+      // Check that the default mask value is ABGR.
+      scatter_rgba(bufOut + global_offset, byteOffsets, v, pred);
+    else
+      scatter_rgba<CH_MASK>(bufOut + global_offset, byteOffsets, v, pred);
+  }
+};
+
+std::string convertMaskToStr(sycl::ext::intel::esimd::rgba_channel_mask mask) {
+  using namespace sycl::ext::intel::esimd;
+  switch (mask) {
+  case rgba_channel_mask::R:
+    return "R";
+  case rgba_channel_mask::GR:
+    return "GR";
+  case rgba_channel_mask::ABGR:
+    return "ABGR";
+  default:
+    return "";
+  }
+  return "";
+}
+
+template <typename T, unsigned VL, unsigned STRIDE, auto CH_MASK>
+bool test(queue q) {
+  size_t numWorkItems = 2;
+  size_t size = VL * STRIDE * NUM_RGBA_CHANNELS * numWorkItems;
+  using namespace sycl::ext::intel::esimd;
+  constexpr int numChannels = get_num_channels_enabled(CH_MASK);
+
+  std::cout << "Testing T=" << esimd_test::type_name<T>() << " VL=" << VL
+            << " STRIDE=" << STRIDE << " MASK=" << convertMaskToStr(CH_MASK)
+            << "...\t";
+
+  T *A = malloc_shared<T>(size, q);
+  T *B = malloc_shared<T>(size, q);
+  T *gold = new T[size];
+
+  for (int i = 0; i < size; ++i) {
+    A[i] = (T)i;
+    B[i] = (T)-i;
+    gold[i] = (T)-i;
+  }
+
+  // Fill out the array with gold values. The kernel only writes the elements
+  // that are not masked. For example,
+  // for STRIDE=1 and MASK=R, we have the following indices written:
+  //   0, 4, 8, 12 ...
+  // for STRIDE=2 and MASK=RG, we have the following indices written:
+  //   0, 1, 8, 9, 16, 17 ...
+  // All the other elements will be equal to '-A[i]'.
+  auto blockSize = VL * STRIDE * NUM_RGBA_CHANNELS;
+  for (unsigned i = 0; i < size; i += NUM_RGBA_CHANNELS * STRIDE)
+    for (unsigned j = 0; j < numChannels; j++)
+      gold[i + j] = A[i + j] + (i / (blockSize));
+
+  // Account for masked out last lanes (with pred argument to scatter_rgba).
+  auto maskedElementOffset = (VL - 1) * STRIDE * NUM_RGBA_CHANNELS;
+  for (unsigned i = maskedElementOffset; i < size; i += blockSize)
+    for (unsigned j = 0; j < numChannels; j++)
+      gold[i + j] = -A[i + j];
+
+  try {
+    range<1> glob_range{numWorkItems};
+    auto e = q.submit([&](handler &cgh) {
+      Kernel<T, VL, STRIDE, CH_MASK> kernel(A, B);
+      cgh.parallel_for(glob_range, kernel);
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    delete[] gold;
+    return false; // not success
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < size; ++i) {
+    if (B[i] != gold[i]) {
+      if (++err_cnt < 35) {
+        std::cout << "\nFAILED at index " << i << ": " << B[i]
+                  << " != " << gold[i] << " (gold)";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "\n  pass rate: "
+              << ((float)(size - err_cnt) / (float)size) * 100.0f << "% ("
+              << (size - err_cnt) << "/" << size << ")\n";
+  }
+
+  free(A, q);
+  free(B, q);
+  delete[] gold;
+
+  if (err_cnt == 0)
+    std::cout << "Passed\n";
+  return err_cnt == 0;
+}
+
+template <typename T, unsigned VL, unsigned STRIDE> bool test(queue q) {
+  using namespace sycl::ext::intel::esimd;
+  bool passed = true;
+  passed &= test<T, VL, STRIDE, rgba_channel_mask::R>(q);
+  passed &= test<T, VL, STRIDE, rgba_channel_mask::GR>(q);
+  passed &= test<T, VL, STRIDE, rgba_channel_mask::ABGR>(q);
+  return passed;
+}
+
+int main(void) {
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  bool passed = true;
+  passed &= test<int, 16, 1>(q);
+  passed &= test<int, 16, 2>(q);
+  passed &= test<int, 16, 4>(q);
+  passed &= test<int, 32, 1>(q);
+  passed &= test<int, 32, 3>(q);
+  passed &= test<int, 32, 8>(q);
+  passed &= test<float, 16, 1>(q);
+  passed &= test<float, 16, 2>(q);
+  passed &= test<float, 16, 4>(q);
+  passed &= test<float, 32, 1>(q);
+  passed &= test<float, 32, 3>(q);
+  passed &= test<float, 32, 8>(q);
+
+  passed &= test<int, 8, 1>(q);
+  passed &= test<int, 8, 3>(q);
+  passed &= test<int, 8, 8>(q);
+  passed &= test<float, 8, 1>(q);
+  passed &= test<float, 8, 2>(q);
+  passed &= test<float, 8, 4>(q);
+
+  std::cout << (passed ? "All tests passed.\n" : "Some tests failed!\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/ESIMD/usm_gather_scatter_rgba_64.cpp b/sycl/test-e2e/ESIMD/usm_gather_scatter_rgba_64.cpp
new file mode 100644
index 0000000000000..a8a94458f443a
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/usm_gather_scatter_rgba_64.cpp
@@ -0,0 +1,20 @@
+//==-------- usm_gather_scatter_rgba_64.cpp  - DPC++ ESIMD on-device test --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks functionality of the gather_rgba/scatter_rgba USM-based ESIMD
+// intrinsics.
+// 64 bit offset variant of the test - uses 64 bit offsets.
+
+#define USE_64_BIT_OFFSET
+
+#include "usm_gather_scatter_rgba.cpp"
diff --git a/sycl/test-e2e/ESIMD/vadd_1d.cpp b/sycl/test-e2e/ESIMD/vadd_1d.cpp
new file mode 100644
index 0000000000000..cd5718a34ee96
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_1d.cpp
@@ -0,0 +1,99 @@
+//==---------------- vadd_1d.cpp  - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024 * 128;
+  constexpr unsigned VL = 16;
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    range<1> GlobalRange{Size / VL};
+
+    // We need that many threads in each group
+    range<1> LocalRange{1};
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class Test>(
+          GlobalRange * LocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            simd<float, VL> vb;
+            vb.copy_from(PB, offset);
+            simd<float, VL> vc = va + vb;
+            vc.copy_to(PC, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vadd_2d.cpp b/sycl/test-e2e/ESIMD/vadd_2d.cpp
new file mode 100644
index 0000000000000..30982fe88372c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_2d.cpp
@@ -0,0 +1,100 @@
+//==---------------- vadd_2d.cpp  - DPC++ ESIMD on-device test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 256;
+  constexpr unsigned VL = 8;
+  constexpr unsigned GroupSize = 2;
+
+  int A[Size];
+  int B[Size];
+  int C[Size] = {};
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+  }
+
+  try {
+    sycl::image<2> imgA(A, image_channel_order::rgba,
+                        image_channel_type::unsigned_int32,
+                        range<2>{Size / 4, 1});
+    sycl::image<2> imgB(B, image_channel_order::rgba,
+                        image_channel_type::unsigned_int32,
+                        range<2>{Size / 4, 1});
+    sycl::image<2> imgC(C, image_channel_order::rgba,
+                        image_channel_type::unsigned_int32,
+                        range<2>{Size / 4, 1});
+
+    // We need that many workitems
+    range<1> GlobalRange{(Size / VL)};
+
+    // Number of workitems in a workgroup
+    range<1> LocalRange{GroupSize};
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto accA = imgA.get_access<uint4, access::mode::read>(cgh);
+      auto accB = imgB.get_access<uint4, access::mode::read>(cgh);
+      auto accC = imgC.get_access<uint4, access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          GlobalRange * LocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+
+            constexpr int ESIZE = sizeof(int);
+            int x = i * ESIZE * VL;
+            int y = 0;
+
+            simd<int, VL> va;
+            auto va_ref = va.bit_cast_view<int, 1, VL>();
+            va_ref = media_block_load<int, 1, VL>(accA, x, y);
+
+            simd<int, VL> vb;
+            auto vb_ref = vb.bit_cast_view<int, 1, VL>();
+            vb_ref = media_block_load<int, 1, VL>(accB, x, y);
+
+            simd<int, VL> vc;
+            auto vc_ref = vc.bit_cast_view<int, 1, VL>();
+            vc_ref = va_ref + vb_ref;
+            media_block_store<int, 1, VL>(accC, x, y, vc_ref);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 1;
+  }
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                << " + " << B[i] << "\n";
+      return 1;
+    }
+  }
+
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vadd_2d_acc.cpp b/sycl/test-e2e/ESIMD/vadd_2d_acc.cpp
new file mode 100644
index 0000000000000..27c0bd17a8dcf
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_2d_acc.cpp
@@ -0,0 +1,106 @@
+//==---------------- vadd_2d_acc.cpp  - DPC++ ESIMD on-device test ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: cuda || hip
+
+// The test checks that 2D workitem addressing works correctly with SIMD
+// kernels.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024 * 128;
+  constexpr unsigned VL = 16;
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i + 1;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<2> GlobalRange{Size / (16 * VL), 16};
+
+    // We need that many threads in each group
+    sycl::range<2> LocalRange{4, 4};
+
+    sycl::nd_range<2> Range(GlobalRange, LocalRange);
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    auto ctxt = q.get_context();
+    std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class Test>(
+          Range, [=](nd_item<2> ndi) SYCL_ESIMD_KERNEL {
+            using namespace sycl::ext::intel::esimd;
+            int gid = ndi.get_group_linear_id();
+            int lid = ndi.get_local_linear_id();
+
+            int i = gid * 16 + lid;
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va;
+            va.copy_from(PA, offset);
+            simd<float, VL> vb;
+            vb.copy_from(PB, offset);
+            simd<float, VL> vc = va + vb;
+            vc.copy_to(PC, offset);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception e) {
+    std::cerr << "SYCL exception caught: " << e.what() << "\n";
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vadd_half.cpp b/sycl/test-e2e/ESIMD/vadd_half.cpp
new file mode 100644
index 0000000000000..ecdb42513a916
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_half.cpp
@@ -0,0 +1,134 @@
+//==---------------- vadd_half.cpp  - DPC++ ESIMD on-device test
+//------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Test addition of simd<sycl::half, N> objects.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using TstT = half;
+using SrcT = half;
+
+template <int N>
+using int_type_t = std::conditional_t<
+    N == 1, int8_t,
+    std::conditional_t<
+        N == 2, int16_t,
+        std::conditional_t<N == 4, int32_t,
+                           std::conditional_t<N == 8, int64_t, void>>>>;
+
+template <class T> auto cast(T val) { return val; }
+template <> auto cast<char>(char val) { return (int)val; }
+template <> auto cast<unsigned char>(unsigned char val) {
+  return (unsigned int)val;
+}
+#ifdef __SYCL_DEVICE_ONLY__
+template <> auto cast<_Float16>(_Float16 val) { return (float)val; }
+#endif
+
+int main(int argc, char **argv) {
+  constexpr unsigned VL = 32;
+  constexpr unsigned Size = 1 * VL;
+  // 2048 is a boundary, where arith operation rounding starts to differ between
+  // GPU h/w implementation and host emulation - as a result, results may differ
+  // by 1 bit.
+  // TODO use Gen's control register to adjust behavior.
+  int start_val = 2048 - VL / 2;
+
+  if (argc > 1) {
+    start_val = atoi(argv[1]);
+  }
+  std::cout << "Using start value = " << start_val << "\n";
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  if (!dev.has(sycl::aspect::fp16)) {
+    std::cout << "Test was skipped becasue the selected device does not "
+                 "support sycl::aspect::fp16"
+              << std::endl;
+    return 0;
+  }
+
+  TstT *A = malloc_shared<TstT>(Size, q);
+  SrcT *B = malloc_shared<SrcT>(Size, q);
+  using DstT = __ESIMD_DNS::computation_type_t<TstT, SrcT>;
+  std::cout << "Computed dst type = " << typeid(DstT).name() << "\n";
+  DstT *C = malloc_shared<DstT>(Size, q);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = start_val + i;
+    B[i] = 1;
+    C[i] = 0;
+  }
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.single_task<class Test>([=]() SYCL_ESIMD_KERNEL {
+        using namespace sycl::ext::intel::esimd;
+        simd<TstT, VL> va(A, vector_aligned_tag{});
+        simd<SrcT, VL> vb(B, vector_aligned_tag{});
+        simd<DstT, VL> vc = va + vb;
+        vc.copy_to(C, vector_aligned_tag{});
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    free(C, q);
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    DstT Gold = A[i] + B[i];
+    DstT Res = C[i];
+    using Tint = int_type_t<sizeof(DstT)>;
+    Tint ResBits = *(Tint *)&Res;
+    Tint GoldBits = *(Tint *)&Gold;
+
+    if (abs(ResBits - GoldBits) > 1) {
+      if (++err_cnt < 100) {
+        std::cout << "failed at index " << i << ": " << cast(Res) << "(0x"
+                  << std::hex << ResBits << ")"
+                  << " != " << std::dec << cast(Gold) << "(0x" << std::hex
+                  << GoldBits << std::dec << ")\n";
+      }
+    } else {
+      const char *eq = ResBits == GoldBits ? " == " : " ~ ";
+      std::cout << "index " << i << ": " << cast(Res) << "(0x" << std::hex
+                << ResBits << ")" << eq << std::dec << cast(Gold) << "(0x"
+                << std::hex << GoldBits << std::dec << ")\n";
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+  free(A, q);
+  free(B, q);
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vadd_raw_send.cpp b/sycl/test-e2e/ESIMD/vadd_raw_send.cpp
new file mode 100644
index 0000000000000..3bec7f184f8cf
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_raw_send.cpp
@@ -0,0 +1,181 @@
+//==---------------- vadd_raw_send.cpp  - DPC++ ESIMD on-device test
+//-------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu-intel-gen9
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: gpu-intel-dg1,gpu-intel-dg2,cuda,hip
+// TODO: esimd_emulator fails due to unimplemented 'raw_send' intrinsic
+// XFAIL: esimd_emulator
+// RUN: %clangxx -fsycl %s -o %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %clangxx -fsycl -DNEW_API %s -o %t2.out
+// RUN: %GPU_RUN_PLACEHOLDER %t2.out
+
+// The test checks raw send functionality with block read/write implementation
+// on SKL. It does not work on DG1 due to send instruction incompatibility.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using namespace sycl::ext::intel;
+using namespace sycl::ext::intel::esimd;
+
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE simd<T, N> dwaligned_block_read(AccessorTy acc,
+                                             unsigned int offset) {
+  simd<unsigned int, 8> src0;
+  simd<T, N> oldDst;
+
+  src0.select<1, 1>(2) = offset;
+  uint32_t exDesc = 0xA;
+  SurfaceIndex desc = esimd::get_surface_index(acc);
+  desc += 0x2284300;
+  constexpr uint8_t execSize = 0x84;
+  constexpr uint8_t sfid = 0x0;
+  constexpr uint8_t numSrc0 = 0x1;
+  constexpr uint8_t numDst = 0x2;
+#ifdef NEW_API
+  return experimental::esimd::raw_send(oldDst, src0, exDesc, desc, execSize,
+                                       sfid, numSrc0, numDst);
+#else
+  return experimental::esimd::raw_send_load(oldDst, src0, exDesc, desc,
+                                            execSize, sfid, numSrc0, numDst);
+#endif
+}
+
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE void block_write1(AccessorTy acc, unsigned int offset,
+                               simd<T, N> data) {
+  simd<unsigned int, 8> src0;
+
+  src0.template select<1, 1>(2) = offset >> 4;
+  uint32_t exDesc = 0x4A;
+  SurfaceIndex desc = esimd::get_surface_index(acc);
+  desc += 0x20A0200;
+  constexpr uint8_t execSize = 0x83;
+  constexpr uint8_t sfid = 0x0;
+  constexpr uint8_t numSrc0 = 0x1;
+  constexpr uint8_t numSrc1 = 0x1;
+#ifdef NEW_API
+  return experimental::esimd::raw_sends(src0, data, exDesc, desc, execSize,
+                                        sfid, numSrc0, numSrc1);
+#else
+  return experimental::esimd::raw_sends_store(src0, data, exDesc, desc,
+                                              execSize, sfid, numSrc0, numSrc1);
+#endif
+}
+
+template <typename T, int N, typename AccessorTy>
+ESIMD_INLINE void block_write2(AccessorTy acc, unsigned int offset,
+                               simd<T, N> data) {
+  simd<T, 16> src0;
+  auto src0_ref1 =
+      src0.template select<8, 1>(0).template bit_cast_view<unsigned int>();
+  auto src0_ref2 = src0.template select<8, 1>(8);
+
+  src0_ref1.template select<1, 1>(2) = offset >> 4;
+  src0_ref2 = data;
+  uint32_t exDesc = 0xA;
+  SurfaceIndex desc = esimd::get_surface_index(acc);
+  desc += 0x40A0200;
+  constexpr uint8_t execSize = 0x83;
+  constexpr uint8_t sfid = 0x0;
+  constexpr uint8_t numSrc0 = 0x2;
+#ifdef NEW_API
+  return experimental::esimd::raw_send(src0, exDesc, desc, execSize, sfid,
+                                       numSrc0);
+#else
+  return experimental::esimd::raw_send_store(src0, exDesc, desc, execSize, sfid,
+                                             numSrc0);
+#endif
+}
+
+int main(void) {
+  constexpr unsigned Size = 1024 * 128;
+  constexpr unsigned VL = 16;
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    range<1> GlobalRange{Size / VL};
+
+    // We need that many threads in each group
+    range<1> LocalRange{1};
+
+    queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class Test>(
+          GlobalRange * LocalRange, [=](id<1> i) SYCL_ESIMD_KERNEL {
+            unsigned int offset = i * VL * sizeof(float);
+            simd<float, VL> va = dwaligned_block_read<float, VL>(PA, offset);
+            simd<float, VL> vb = dwaligned_block_read<float, VL>(PB, offset);
+            simd<float, VL> vc = va + vb;
+            constexpr int SIZE = VL / 2;
+            block_write1(PC, offset, vc.select<SIZE, 1>(0).read());
+            offset += SIZE * sizeof(float);
+            block_write2(PC, offset, vc.select<SIZE, 1>(SIZE).read());
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vadd_usm.cpp b/sycl/test-e2e/ESIMD/vadd_usm.cpp
new file mode 100644
index 0000000000000..6f558b3b46950
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_usm.cpp
@@ -0,0 +1,92 @@
+//==---------------- vadd_usm.cpp  - DPC++ ESIMD on-device test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned VL = 32;
+  constexpr unsigned GroupSize = 8;
+
+  queue q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<info::device::name>() << "\n";
+
+  float *A = malloc_shared<float>(Size, q);
+  float *B = malloc_shared<float>(Size, q);
+  float *C = malloc_shared<float>(Size, q);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+  }
+
+  // We need that many workitems. Each processes VL elements of data.
+  range<1> GlobalRange{Size / VL};
+  // Number of workitems in each workgroup.
+  range<1> LocalRange{GroupSize};
+
+  nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range,
+                                   [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+                                     using namespace sycl::ext::intel::esimd;
+
+                                     int i = ndi.get_global_id(0);
+                                     simd<float, VL> va;
+                                     va.copy_from(A + i * VL);
+                                     simd<float, VL> vb;
+                                     vb.copy_from(B + i * VL);
+                                     simd<float, VL> vc = va + vb;
+                                     vc.copy_to(C + i * VL);
+                                   });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(B, q);
+    free(C, q);
+    return 1;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  free(A, q);
+  free(B, q);
+  free(C, q);
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vadd_usm_opqptr.cpp b/sycl/test-e2e/ESIMD/vadd_usm_opqptr.cpp
new file mode 100644
index 0000000000000..16ad356b9ff2c
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vadd_usm_opqptr.cpp
@@ -0,0 +1,19 @@
+//==---------------- vadd_usm_opqptr.cpp  - DPC++ ESIMD on-device test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: gpu-intel-gen9 && windows
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -Xclang -opaque-pointers %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO Running existing tests in opaque pointer mode should be supported by the
+// CI.
+
+// The test checks if vadd_usm.cpp works in opaque pointer mode.
+
+#include "vadd_usm.cpp"
diff --git a/sycl/test-e2e/ESIMD/vec_arg_call_conv_ext.cpp b/sycl/test-e2e/ESIMD/vec_arg_call_conv_ext.cpp
new file mode 100644
index 0000000000000..201d6a423c772
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vec_arg_call_conv_ext.cpp
@@ -0,0 +1,87 @@
+//==-------------- vec_arg_call_conv_ext.cpp  - DPC++ ESIMD feature test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Intel GPU is not really required, but the test does not make sense for
+// others.
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -Xclang -opaque-pointers -fsycl-device-only -Xclang -emit-llvm -o %t.comp.ll %s
+// RUN: sycl-post-link -ir-output-only -lower-esimd -S %t.comp.ll -o %t.out.ll
+// RUN: FileCheck --input-file=%t.out.ll %s
+
+// Checks that ESIMDOptimizeVecArgCallConv does the right job as
+// a part of sycl-post-link.
+
+#include <sycl/ext/intel/esimd.hpp>
+
+using namespace sycl::ext::intel::esimd;
+
+// clang-format off
+
+//------------------------
+// Test1: Optimized parameter interleaves non - optimizeable ones.
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<int, 8> callee__sret__x_param_x(int i, simd<int, 8> x, int j) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <8 x i32> @_Z23callee__sret__x_param_x{{.*}}(i32 noundef %{{.*}}, <8 x i32> %{{.*}}, i32 noundef %{{.*}})
+  return x + (i + j);
+}
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<int, 8> test__sret__x_param_x(simd<int, 8> x) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <8 x i32> @_Z21test__sret__x_param_x{{.*}}(<8 x i32> %{{.*}})
+  return callee__sret__x_param_x(2, x, 1);
+// CHECK:  %{{.*}} = call spir_func <8 x i32> @_Z23callee__sret__x_param_x{{.*}}(i32 2, <8 x i32> %{{.*}}, i32 1)
+}
+
+//------------------------
+// Test2: "2-level fall through"
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<double, 32> callee__all_fall_through0(simd<double, 32> x) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <32 x double> @_Z25callee__all_fall_through0{{.*}}(<32 x double> %{{.*}})
+  return x;
+}
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<double, 32> callee__all_fall_through1(simd<double, 32> x) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <32 x double> @_Z25callee__all_fall_through1{{.*}}(<32 x double> %{{.*}})
+  return callee__all_fall_through0(x);
+// CHECK:  %{{.*}} = call spir_func <32 x double> @_Z25callee__all_fall_through0{{.*}}(<32 x double> %{{.*}})
+}
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<double, 32> test__all_fall_through(simd<double, 32> x) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <32 x double> @_Z22test__all_fall_through{{.*}}(<32 x double> %{{.*}})
+  return callee__all_fall_through1(x);
+// CHECK:  %{{.*}} = call spir_func <32 x double> @_Z25callee__all_fall_through1{{.*}}(<32 x double> %{{.*}})
+}
+
+//------------------------
+// Test3. First argument is passed by reference and updated in the callee,
+// must not be optimized.
+
+__attribute__((noinline))
+SYCL_EXTERNAL void callee_void__noopt_opt(simd<int, 8>& x, simd<int, 8> y) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func void @_Z22callee_void__noopt_opt{{.*}}(ptr {{.*}} %{{.*}}, <8 x i32> %{{.*}})
+  x = x + y;
+}
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<int, 8> test__sret__noopt_opt(simd<int, 8> x) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <8 x i32> @_Z21test__sret__noopt_opt{{.*}}(ptr noundef %{{.*}})
+  callee_void__noopt_opt(x, x);
+// CHECK:  call spir_func void @_Z22callee_void__noopt_opt{{.*}}(ptr addrspace(4) %{{.*}}, <8 x i32> %{{.*}})
+  return x;
+}
+
+//------------------------
+
+// Dummy main to satisfy linker.
+int main() {
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/vec_arg_call_conv_smoke.cpp b/sycl/test-e2e/ESIMD/vec_arg_call_conv_smoke.cpp
new file mode 100644
index 0000000000000..d0e4870117695
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/vec_arg_call_conv_smoke.cpp
@@ -0,0 +1,56 @@
+//==------------ vec_arg_call_conv_smoke.cpp  - DPC++ ESIMD feature test ---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Intel GPU is not really required, but the test does not make sense for
+// others.
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+// RUN: %clangxx -fsycl -Xclang -opaque-pointers -fsycl-device-only -Xclang -emit-llvm -o %t.comp.ll %s
+// RUN: sycl-post-link -ir-output-only -lower-esimd -S %t.comp.ll -o %t.out.ll
+// RUN: FileCheck --input-file=%t.out.ll %s
+
+// Performs a basic check that ESIMDOptimizeVecArgCallConv does the right job as
+// a part of sycl-post-link.
+
+#include <sycl/ext/intel/esimd.hpp>
+
+using namespace sycl::ext::intel::esimd;
+
+ESIMD_PRIVATE simd<float, 3 * 32 * 4> GRF;
+#define V(x, w, i) (x).template select<w, 1>(i)
+
+// clang-format off
+
+// "Fall-through case", incoming optimizeable parameter is just returned
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<float, 16> callee__sret__param(simd<float, 16> x) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <16 x float> @_Z19callee__sret__param{{.*}}(<16 x float> %[[PARAM:.+]])
+  return x;
+}
+
+// * Caller 1: simd object is read from array
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<float, 16> test__sret__fall_through__arr(simd<float, 16> *x, int i) SYCL_ESIMD_FUNCTION {
+// CHECK: define dso_local spir_func <16 x float> @_Z29test__sret__fall_through__arr{{.*}}(ptr addrspace(4) noundef %[[PARAM0:.+]], i32 noundef %{{.*}})
+  return callee__sret__param(x[i]);
+// CHECK: %{{.*}} = call spir_func <16 x float> @_Z19callee__sret__param{{.*}}(<16 x float> %{{.*}})
+}
+
+// * Caller 2 : simd object is read from a global
+
+__attribute__((noinline))
+SYCL_EXTERNAL simd<float, 16> test__sret__fall_through__glob() SYCL_ESIMD_FUNCTION {
+  return callee__sret__param(V(GRF, 16, 0));
+// CHECK: %{{.*}} = call spir_func <16 x float> @_Z19callee__sret__param{{.*}}(<16 x float> %{{.*}})
+}
+
+// Dummy main to satisfy linker.
+int main() {
+  return 0;
+}
diff --git a/sycl/test-e2e/ESIMD/wait.cpp b/sycl/test-e2e/ESIMD/wait.cpp
new file mode 100644
index 0000000000000..06ad3f5684996
--- /dev/null
+++ b/sycl/test-e2e/ESIMD/wait.cpp
@@ -0,0 +1,86 @@
+//==---------------- wait.cpp  - DPC++ ESIMD on-device test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: gpu
+// UNSUPPORTED: cuda || hip
+
+// RUN: %clangxx -fsycl -fsycl-device-only -Xclang -emit-llvm -o %t.comp.ll %s
+// RUN: sycl-post-link -ir-output-only -lower-esimd -S %t.comp.ll -o %t.out.ll
+// RUN: FileCheck --input-file=%t.out.ll %s
+
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies support of ext::intel::experimental::esimd::wait().
+// The function is basically a NOP. It creates explicit scoreboard dependency
+// to avoid code motion across wait() and preserve the value computation even
+// if it is unused.
+
+#include "esimd_test_utils.hpp"
+
+#include <iostream>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::esimd;
+namespace iesimd = sycl::ext::intel::experimental::esimd;
+
+bool test(sycl::queue Q, int IArg = 128) {
+  try {
+    // Test case 1: check wait() with esimd::simd argument.
+    Q.single_task([=]() SYCL_ESIMD_KERNEL {
+       simd<int, 16> A = IArg;
+       simd<int, 16> B = A * A;
+       iesimd::wait(B);
+       // CHECK: mul <16 x i32>
+       // CHECK: llvm.genx.dummy.mov
+     }).wait();
+
+    // Test case 2: check wait() with esimd::simd_view argument.
+    Q.single_task([=]() SYCL_ESIMD_KERNEL {
+       simd<int, 16> A = IArg;
+       simd<int, 16> B = A * 17;
+       auto BView = B.select<8, 2>(0);
+       BView += 2;
+       iesimd::wait(BView);
+       // CHECK: mul <16 x i32>
+       // CHECK: add <8 x i32>
+       // CHECK: llvm.genx.dummy.mov
+     }).wait();
+
+    // Test case 3: check wait() that prevesrves one simd and lets
+    // optimize away the other/unused one.
+    Q.single_task([=]() SYCL_ESIMD_KERNEL {
+       simd<uint64_t, 8> A = IArg;
+       auto B = A * 17;
+       iesimd::wait(B);
+       auto C = B * 17;
+       // CHECK: mul <8 x i64>
+       // CHECK-NOT: add <8 x i64>
+       // CHECK: llvm.genx.dummy.mov
+       // CHECK-NEXT: ret void
+     }).wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  return true;
+}
+
+int main() {
+  queue Q(esimd_test::ESIMDSelector, esimd_test::createExceptionHandler());
+  auto Dev = Q.get_device();
+  std::cout << "Running on " << Dev.get_info<info::device::name>() << std::endl;
+
+  bool Passed = true;
+  Passed &= test(Q);
+
+  std::cout << (Passed ? "Test Passed\n" : "Test FAILED\n");
+  return Passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/External/CMakeLists.txt b/sycl/test-e2e/External/CMakeLists.txt
new file mode 100644
index 0000000000000..d070f96d131c7
--- /dev/null
+++ b/sycl/test-e2e/External/CMakeLists.txt
@@ -0,0 +1,4 @@
+foreach(APP ${SYCL_EXTERNAL_TESTS})
+  message("-- Adding external application: ${APP}")
+  add_subdirectory(${APP})
+endforeach()
diff --git a/sycl/test-e2e/External/README.md b/sycl/test-e2e/External/README.md
new file mode 100644
index 0000000000000..9bd5a77cb6e11
--- /dev/null
+++ b/sycl/test-e2e/External/README.md
@@ -0,0 +1,80 @@
+> **NOTE**
+> This is experimental extension of test suite. Could be dropped or extended
+> further at some later point.
+
+# Overview
+
+"External" tests directory has necessary infrastructure for running tests where
+sources of tests are expected to be located outside of llvm-test-suite
+repository. Each subdirectory represents external repository for corresponding
+application/test.
+
+# Adding external test
+
+See [RSBench](RSBench) as example, it contains the following:
+ * **CMakeLists.txt** - CMake configuration file which is used to obtain
+ application binary and data files.
+ * **lit.local.cfg** - application specific LIT infrastructure configuration
+   file. In case of RSBench benchmark it sets LIT test file suffixes to `.test`
+   and mark all tests in directory unsupported if corresponding directory is
+   not added to `SYCL_EXTERNAL_TESTS` list. See more at:
+   [LLVM Testing Guide](https://llvm.org/docs/TestingGuide.html#platform-specific-tests)
+ * **\*.test** - test configuration files, containing command lines, test
+   status lines and verification patterns per each platform.
+
+# CMake parameters
+
+All parameters described in [README.md](../README.md#cmake-parameters) are
+applicable.
+
+***SYCL_EXTERNAL_TESTS*** semicolon-separated names of external SYCL
+applications which are built and run as part of the testing. Name is
+subdirectory name in "External" directory. Example:
+```
+-DSYCL_EXTERNAL_TESTS=RSBench
+```
+Source code of external application can be downloaded from external repository
+as part of the build or provided in CMake variable <APPNAME>_SRC
+(e.g. RSBench_SRC).
+
+Also extra CMake parameters are introduced to configure specific
+application:
+   * **APPName_BIN** (e.g. `RSBench_BIN`) - directory containing prebuilt
+     binaries of the application.
+   * **APPName_SRC** (e.g. `RSBench_SRC`) - directory containing sources of the
+     application.
+   * **APPName_URL** (e.g. `RSBench_URL`) - URL to the GIT repository containing
+     sources of the application.
+   * **APPName_TAG** (e.g. `RSBench_TAG`) - GIT tag or hash or branch name used
+     to download source from GIT repository.
+
+Configuration parameters are priorities from top to down. If **APPName_BIN**
+is specified binaries will be used directly ignoring other parameters.
+
+# Build and run tests
+
+Get sources
+
+```
+git clone https://github.com/intel/llvm-test-suite
+cd llvm-test-suite
+mkdir build
+cd build
+```
+
+With compiler tools available in the PATH:
+
+```
+# Configure
+cmake \
+ -DCMAKE_CXX_COMPILER=clang++ \
+ -DTEST_SUITE_SUBDIRS=SYCL \
+ -DCHECK_SYCL_ALL="level_zero:gpu" \
+ -DSYCL_EXTERNAL_TESTS="RSBench" \
+ ..
+
+# Build and Run
+make check-sycl-all
+
+```
+
diff --git a/sycl/test-e2e/External/RSBench/CMakeLists.txt b/sycl/test-e2e/External/RSBench/CMakeLists.txt
new file mode 100644
index 0000000000000..4ae2b925eb1d5
--- /dev/null
+++ b/sycl/test-e2e/External/RSBench/CMakeLists.txt
@@ -0,0 +1,62 @@
+include(ExternalProject)
+
+if(DEFINED RSBench_BIN)
+  message("-- Use RSBench binaries from ${RSBench_BIN}")
+  add_custom_target(RSBench ALL
+    DEPENDS   ${RSBench_BIN}
+    COMMAND   ${CMAKE_COMMAND} -E copy_directory
+                 ${RSBench_BIN}
+                 ${CMAKE_CURRENT_BINARY_DIR}/Output
+    COMMENT   "Deploying prebuilt RSBench binaries..."
+  )
+elseif(DEFINED RSBench_SRC)
+  message("-- Use RSBench built from sources in ${RSBench_SRC}")
+  ExternalProject_Add(RSBench
+    SOURCE_DIR        ${RSBench_SRC}
+    CONFIGURE_COMMAND ""
+    BUILD_COMMAND     make CC=${CMAKE_CXX_COMPILER}
+                      CXXFLAGS=${CMAKE_CXX_FLAGS}
+                      -C ${RSBench_SRC}/sycl
+    BUILD_IN_SOURCE   ON
+    INSTALL_COMMAND   ${CMAKE_COMMAND} -E copy_directory
+                        ${RSBench_SRC}/sycl
+                        ${CMAKE_CURRENT_BINARY_DIR}/Output
+    STEP_TARGETS      build, install
+    COMMENT           "Building RSBench sources from ${RSBench_SRC}..."
+    LOG_BUILD 1
+    LOG_INSTALL 1
+  )
+else(DEFINED RSBench_BIN AND DEFINED RSBench_SRC)
+
+  if(NOT DEFINED RSBench_URL)
+    set(RSBench_URL https://github.com/ANL-CESAR/RSBench.git)
+  endif(NOT DEFINED RSBench_URL)
+
+  if(NOT DEFINED RSBench_TAG)
+    set(RSBench_TAG origin/master)
+  endif(NOT DEFINED RSBench_TAG)
+
+  message("-- Use RSBench built from sources under ${RSBench_URL} (${RSBench_TAG})")
+  set(RSBench_SRC ${CMAKE_CURRENT_BINARY_DIR}/src)
+  ExternalProject_Add(RSBench
+    GIT_REPOSITORY    ${RSBench_URL}
+    GIT_TAG           ${RSBench_TAG}
+    SOURCE_DIR        ${RSBench_SRC}
+    CONFIGURE_COMMAND ""
+    BUILD_COMMAND     make CC=${CMAKE_CXX_COMPILER}
+                      CXXFLAGS=${CMAKE_CXX_FLAGS}
+                      -C ${RSBench_SRC}/sycl
+    BUILD_IN_SOURCE   ON
+    INSTALL_COMMAND   ${CMAKE_COMMAND} -E copy_directory
+                        ${RSBench_SRC}/sycl
+                        ${CMAKE_CURRENT_BINARY_DIR}/Output
+    STEP_TARGETS      build, install
+    COMMENT           "Downloading from ${RSBench_URL} (${RSBench_TAG}) and build RSBench..."
+    LOG_DOWNLOAD 1
+    LOG_UPDATE 1
+    LOG_BUILD 1
+    LOG_INSTALL 1
+  )
+endif()
+
+set_property(GLOBAL APPEND PROPERTY TEST_SUITE_TARGETS RSBench)
diff --git a/sycl/test-e2e/External/RSBench/acc.test b/sycl/test-e2e/External/RSBench/acc.test
new file mode 100644
index 0000000000000..23ec05ec31a34
--- /dev/null
+++ b/sycl/test-e2e/External/RSBench/acc.test
@@ -0,0 +1,3 @@
+REQUIRES: accelerator
+RUN: %ACC_RUN_PLACEHOLDER SYCL_PI_TRACE=1 %T/rsbench -s large -l 34 -p 300000 -P 1000 -W 100 -m event
+XFAIL: *
diff --git a/sycl/test-e2e/External/RSBench/cpu.test b/sycl/test-e2e/External/RSBench/cpu.test
new file mode 100644
index 0000000000000..1014705637326
--- /dev/null
+++ b/sycl/test-e2e/External/RSBench/cpu.test
@@ -0,0 +1,3 @@
+REQUIRES: cpu
+RUN: %CPU_RUN_PLACEHOLDER SYCL_PI_TRACE=1 %T/rsbench -s large -l 34 -p 300000 -P 1000 -W 100 -m event
+XFAIL: *
diff --git a/sycl/test-e2e/External/RSBench/gpu.test b/sycl/test-e2e/External/RSBench/gpu.test
new file mode 100644
index 0000000000000..5005d1cb807d0
--- /dev/null
+++ b/sycl/test-e2e/External/RSBench/gpu.test
@@ -0,0 +1,3 @@
+REQUIRES: gpu
+RUN: %GPU_RUN_PLACEHOLDER SYCL_PI_TRACE=1 %T/rsbench -s large -l 34 -p 300000 -P 1000 -W 100 -m event
+XFAIL: *
diff --git a/sycl/test-e2e/External/RSBench/lit.local.cfg b/sycl/test-e2e/External/RSBench/lit.local.cfg
new file mode 100644
index 0000000000000..f79c42c0eb660
--- /dev/null
+++ b/sycl/test-e2e/External/RSBench/lit.local.cfg
@@ -0,0 +1,6 @@
+config.suffixes = ['.test']
+
+# Mark the benchmark tests unsupported if current directory
+# is not present in SYCL_EXTERNAL_TESTS
+if not config.external_tests and os.path.basename(os.getcwd()) not in config.external_tests.split(';'):
+  config.unsupported=True
diff --git a/sycl/test-e2e/ExtraTests/.gitignore b/sycl/test-e2e/ExtraTests/.gitignore
new file mode 100644
index 0000000000000..2b29f27645f87
--- /dev/null
+++ b/sycl/test-e2e/ExtraTests/.gitignore
@@ -0,0 +1 @@
+tests
diff --git a/sycl/test-e2e/ExtraTests/CMakeLists.txt b/sycl/test-e2e/ExtraTests/CMakeLists.txt
new file mode 100644
index 0000000000000..a3481028c4efd
--- /dev/null
+++ b/sycl/test-e2e/ExtraTests/CMakeLists.txt
@@ -0,0 +1,13 @@
+if(DEFINED SYCL_EXTRA_TESTS_SRC)
+  message("-- Run extra tests from ${SYCL_EXTRA_TESTS_SRC}")
+  add_custom_target( ExtraTests ALL
+    DEPENDS   ${SYCL_EXTRA_TESTS_SRC}
+    COMMAND   ${CMAKE_COMMAND} -E remove_directory
+                 ${CMAKE_CURRENT_SOURCE_DIR}/tests
+    COMMAND   ${CMAKE_COMMAND} -E copy_directory
+                 ${SYCL_EXTRA_TESTS_SRC}
+                 ${CMAKE_CURRENT_SOURCE_DIR}/tests
+    COMMENT   "Deploying extra SYCL tests..."
+  )
+  set_property(GLOBAL APPEND PROPERTY TEST_SUITE_TARGETS ExtraTests)
+endif()
diff --git a/sycl/test-e2e/ExtraTests/README.md b/sycl/test-e2e/ExtraTests/README.md
new file mode 100644
index 0000000000000..c454450d53e43
--- /dev/null
+++ b/sycl/test-e2e/ExtraTests/README.md
@@ -0,0 +1,32 @@
+> **NOTE**
+> This is experimental extension of test suite. Could be dropped or extended
+> further at some later point.
+
+# Overview
+
+"ExtraTests" directory contains infrastructure for picking up LIT style tests
+from another external directory passed in SYCL_EXTRA_TESTS_SRC.
+
+# CMake parameters
+
+All parameters described in [Readme.md](../README.md#cmake-parameters) are
+applicable. Additional parameters for this test category:
+
+***SYCL_EXTRA_TESTS_SRC*** path to directory which contains additional LIT
+tests.
+
+# Example
+
+```
+# Configure
+cmake -G Ninja \
+        -DTEST_SUITE_SUBDIRS=SYCL \
+        -DTEST_SUITE_LIT=<path/to/llvm-lit> \
+        -DCHECK_SYCL_ALL="opencl:cpu,acc,gpu;level_zero:gpu" \
+        -DCMAKE_CXX_COMPILER=<path/to/clang++> \
+        -DSYCL_EXTRA_TESTS_SRC=<path/to/more/lit/tests/sources>
+        ..
+
+# Build and run full list of SYCL tests
+ninja ninja check-sycl-all
+```
diff --git a/sycl/test-e2e/FilterSelector/Inputs/filter_list_queries.cpp b/sycl/test-e2e/FilterSelector/Inputs/filter_list_queries.cpp
new file mode 100644
index 0000000000000..ae48b3fb4a4ac
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/Inputs/filter_list_queries.cpp
@@ -0,0 +1,30 @@
+//==--- filter_list_queries.cpp - Check available platform and devices ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===---------------------------------------------------------------------===//
+
+#include <iostream>
+#include <map>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+
+  std::map<info::device_type, std::string> m = {
+      {info::device_type::cpu, "cpu"},
+      {info::device_type::gpu, "gpu"},
+      {info::device_type::accelerator, "acc"},
+      {info::device_type::host, "host"},
+      {info::device_type::all, "all"}};
+
+  for (auto &d : device::get_devices()) {
+    std::cout << "Device: " << m[d.get_info<info::device::device_type>()]
+              << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/filter_list_cpu_gpu_acc.cpp b/sycl/test-e2e/FilterSelector/filter_list_cpu_gpu_acc.cpp
new file mode 100644
index 0000000000000..786ebcbf683a5
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/filter_list_cpu_gpu_acc.cpp
@@ -0,0 +1,44 @@
+//==------------------ filter_list_cpu_gpu_acc.cpp ------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===---------------------------------------------------------------------===//
+
+// REQUIRES: cpu, gpu, accelerator
+
+// RUN: %clangxx -fsycl %S/Inputs/filter_list_queries.cpp -o %t.out
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:acc" %t.out | FileCheck %s --check-prefixes=CHECK-ACC-ONLY
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:gpu" %t.out | FileCheck %s --check-prefixes=CHECK-GPU-ONLY
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:cpu" %t.out | FileCheck %s --check-prefixes=CHECK-CPU-ONLY
+//
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:acc,gpu" %t.out | FileCheck %s --check-prefixes=CHECK-ACC-GPU
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:acc,cpu" %t.out | FileCheck %s --check-prefixes=CHECK-ACC-CPU
+//
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:cpu,acc,gpu" %t.out | FileCheck %s --check-prefixes=CHECK-ACC-GPU-CPU
+//
+// CHECK-ACC-ONLY: Device: acc
+// CHECK-ACC-ONLY-NOT: Device: cpu
+// CHECK-ACC-ONLY-NOT: Device: gpu
+//
+// CHECK-GPU-ONLY-NOT: Device: acc
+// CHECK-GPU-ONLY: Device: gpu
+// CHECK-GPU-ONLY-NOT: Device: cpu
+//
+// CHECK-CPU-ONLY-NOT: Device: acc
+// CHECK-CPU-ONLY: Device: cpu
+// CHECK-CPU-ONLY-NOT: Device: gpu
+//
+// CHECK-ACC-GPU: Device: acc
+// CHECK-ACC-GPU-NEXT: Device: gpu
+// CHECK-ACC-GPU-NOT: Device: cpu
+//
+// CHECK-ACC-CPU: Device: acc
+// CHECK-ACC-CPU-NEXT: Device: cpu
+// CHECK-ACC-CPU-NOT: Device: gpu
+//
+// CHECK-ACC-GPU-CPU: Device: acc
+// CHECK-ACC-GPU-CPU-DAG: Device: gpu
+// CHECK-ACC-GPU-CPU-DAG: Device: cpu
diff --git a/sycl/test-e2e/FilterSelector/reuse.cpp b/sycl/test-e2e/FilterSelector/reuse.cpp
new file mode 100644
index 0000000000000..9694949a01441
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/reuse.cpp
@@ -0,0 +1,44 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==----------------- reuse.cpp - filter_selector reuse test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+int main() {
+  std::vector<device> Devs;
+
+  Devs = device::get_devices();
+
+  std::cout << "# Devices found: " << Devs.size() << std::endl;
+
+  if (Devs.size() > 1) {
+    filter_selector filter("1");
+
+    device d1(filter);
+    device d2(filter);
+
+    assert(d1 == d2);
+
+    filter_selector f1("0");
+    filter_selector f2("1");
+    device d3(f1);
+    device d4(f2);
+
+    assert(d3 != d4);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select.cpp b/sycl/test-e2e/FilterSelector/select.cpp
new file mode 100644
index 0000000000000..c4c1624c48d44
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select.cpp
@@ -0,0 +1,221 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- select.cpp - filter_selector test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+int main() {
+  std::vector<device> CPUs;
+  std::vector<device> GPUs;
+  std::vector<device> Accels;
+  std::vector<device> Devs;
+
+  CPUs = device::get_devices(sycl::info::device_type::cpu);
+  GPUs = device::get_devices(sycl::info::device_type::gpu);
+  Accels = device::get_devices(sycl::info::device_type::accelerator);
+  Devs = device::get_devices();
+
+  std::cout << "# CPU Devices found: " << CPUs.size() << std::endl;
+  std::cout << "# GPU Devices found: " << GPUs.size() << std::endl;
+  std::cout << "# Accelerators found: " << Accels.size() << std::endl;
+  std::cout << "# Devices found: " << Devs.size() << std::endl;
+
+  bool HasLevelZeroDevices = false;
+  bool HasOpenCLDevices = false;
+  bool HasCUDADevices = false;
+  bool HasHIPDevices = false;
+  bool HasOpenCLGPU = false;
+  bool HasLevelZeroGPU = false;
+
+  for (auto &Dev : Devs) {
+    auto Backend = Dev.get_platform().get_backend();
+    if (Backend == backend::ext_oneapi_level_zero) {
+      HasLevelZeroDevices = true;
+    } else if (Backend == backend::opencl) {
+      HasOpenCLDevices = true;
+    } else if (Backend == backend::ext_oneapi_cuda) {
+      HasCUDADevices = true;
+    } else if (Backend == backend::ext_oneapi_hip) {
+      HasHIPDevices = true;
+    }
+  }
+
+  for (const auto &GPU : GPUs) {
+    if (GPU.get_platform().get_backend() == backend::opencl) {
+      HasOpenCLGPU = true;
+    } else if (GPU.get_platform().get_backend() ==
+               backend::ext_oneapi_level_zero) {
+      HasLevelZeroGPU = true;
+    }
+  }
+
+  std::cout << "HasLevelZeroDevices = " << HasLevelZeroDevices << std::endl;
+  std::cout << "HasOpenCLDevices    = " << HasOpenCLDevices << std::endl;
+  std::cout << "HasCUDADevices      = " << HasCUDADevices << std::endl;
+  std::cout << "HasHIPDevices       = " << HasHIPDevices << std::endl;
+  std::cout << "HasOpenCLGPU        = " << HasOpenCLGPU << std::endl;
+  std::cout << "HasLevelZeroGPU     = " << HasLevelZeroGPU << std::endl;
+
+  if (!CPUs.empty()) {
+    std::cout << "Test 'cpu'";
+    device d1(filter_selector("cpu"));
+    assert(d1.is_cpu());
+    std::cout << "...PASS" << std::endl;
+  }
+
+  if (!GPUs.empty()) {
+    std::cout << "Test 'gpu'";
+    device d2(filter_selector("gpu"));
+    assert(d2.is_gpu());
+    std::cout << "...PASS" << std::endl;
+  }
+
+  if (!CPUs.empty() || !GPUs.empty()) {
+    std::cout << "Test 'cpu,gpu'";
+    device d3(filter_selector("cpu,gpu"));
+    assert((d3.is_gpu() || d3.is_cpu()));
+    std::cout << "...PASS" << std::endl;
+  }
+
+  if (HasOpenCLDevices) {
+    std::cout << "Test 'opencl'";
+    device d4(filter_selector("opencl"));
+    assert(d4.get_platform().get_backend() == backend::opencl);
+    std::cout << "...PASS" << std::endl;
+
+    if (!CPUs.empty()) {
+      std::cout << "Test 'opencl:cpu'";
+      device d5(filter_selector("opencl:cpu"));
+      assert(d5.is_cpu() && d5.get_platform().get_backend() == backend::opencl);
+      std::cout << "...PASS" << std::endl;
+
+      std::cout << "Test 'opencl:cpu:0'";
+      device d6(filter_selector("opencl:cpu:0"));
+      assert(d6.is_cpu() && d6.get_platform().get_backend() == backend::opencl);
+      std::cout << "...PASS" << std::endl;
+    }
+
+    if (HasOpenCLGPU) {
+      std::cout << "Test 'opencl:gpu'" << std::endl;
+      device d7(filter_selector("opencl:gpu"));
+      assert(d7.is_gpu() && d7.get_platform().get_backend() == backend::opencl);
+    }
+  }
+
+  std::cout << "Test '0'";
+  device d8(filter_selector("0"));
+  std::cout << "...PASS" << std::endl;
+
+  try {
+    // pick something crazy
+    device d9(filter_selector("gpu:999"));
+    std::cout << "d9 = " << d9.get_info<sycl::info::device::name>()
+              << std::endl;
+  } catch (const sycl::runtime_error &e) {
+    const char *ErrorMesg =
+        "Could not find a device that matches the specified filter(s)!";
+    assert(std::string{e.what()}.find(ErrorMesg) == 0);
+    std::cout << "Selector failed as expected! OK" << std::endl;
+  }
+
+  try {
+    // pick something crazy
+    device d10(filter_selector("bob:gpu"));
+    std::cout << "d10 = " << d10.get_info<sycl::info::device::name>()
+              << std::endl;
+  } catch (const sycl::runtime_error &e) {
+    const char *ErrorMesg = "Invalid filter string!";
+    assert(std::string{e.what()}.find(ErrorMesg) == 0);
+    std::cout << "Selector failed as expected! OK" << std::endl;
+  }
+
+  try {
+    // pick something crazy
+    device d11(filter_selector("opencl:bob"));
+    std::cout << "d11 = " << d11.get_info<sycl::info::device::name>()
+              << std::endl;
+  } catch (const sycl::runtime_error &e) {
+    const char *ErrorMesg = "Invalid filter string!";
+    assert(std::string{e.what()}.find(ErrorMesg) == 0);
+    std::cout << "Selector failed as expected! OK" << std::endl;
+  }
+
+  if (HasLevelZeroDevices && HasLevelZeroGPU) {
+    std::cout << "Test 'level_zero'";
+    device d12(filter_selector("level_zero"));
+    assert(d12.get_platform().get_backend() == backend::ext_oneapi_level_zero);
+    std::cout << "...PASS" << std::endl;
+
+    std::cout << "Test 'level_zero:gpu'";
+    device d13(filter_selector("level_zero:gpu"));
+    assert(d13.is_gpu() &&
+           d13.get_platform().get_backend() == backend::ext_oneapi_level_zero);
+    std::cout << "...PASS" << std::endl;
+
+    if (HasOpenCLDevices && !CPUs.empty()) {
+      std::cout << "Test 'level_zero:gpu,cpu'";
+      device d14(filter_selector("level_zero:gpu,cpu"));
+      assert((d14.is_gpu() || d14.is_cpu()));
+      std::cout << "...PASS 1/2" << std::endl;
+      if (d14.is_gpu()) {
+        assert(d14.get_platform().get_backend() ==
+               backend::ext_oneapi_level_zero);
+        std::cout << "...PASS 2/2" << std::endl;
+      }
+    }
+  }
+
+  if (Devs.size() > 1) {
+    std::cout << "Test '1'";
+    device d15(filter_selector("1"));
+    std::cout << "...PASS" << std::endl;
+  }
+
+  if (HasCUDADevices) {
+    std::cout << "Test 'cuda'";
+    device d16(filter_selector("cuda"));
+    assert(d16.get_platform().get_backend() == backend::ext_oneapi_cuda);
+    std::cout << "...PASS" << std::endl;
+
+    std::cout << "Test 'cuda:gpu'";
+    device d17(filter_selector("cuda:gpu"));
+    assert(d17.is_gpu() &&
+           d17.get_platform().get_backend() == backend::ext_oneapi_cuda);
+    std::cout << "...PASS" << std::endl;
+  }
+
+  if (!Accels.empty()) {
+    std::cout << "Test 'accelerator'";
+    device d18(filter_selector("accelerator"));
+    assert(d18.is_accelerator());
+    std::cout << "...PASS" << std::endl;
+  }
+
+  if (HasHIPDevices) {
+    std::cout << "Test 'hip'";
+    device d19(ext::oneapi::filter_selector("hip"));
+    assert(d19.get_platform().get_backend() == backend::ext_oneapi_hip);
+    std::cout << "...PASS" << std::endl;
+
+    std::cout << "test 'hip:gpu'";
+    device d20(ext::oneapi::filter_selector("hip:gpu"));
+    assert(d20.is_gpu() &&
+           d20.get_platform().get_backend() == backend::ext_oneapi_hip);
+    std::cout << "...PASS" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select_device.cpp b/sycl/test-e2e/FilterSelector/select_device.cpp
new file mode 100644
index 0000000000000..41980f54f45c5
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select_device.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:*" %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:cpu" %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=level_zero:gpu %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:gpu %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='*:cpu;level_zero:gpu' %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:acc %t.out
+//
+// Checks if only specified device types can be acquired from select_device
+// when ONEAPI_DEVICE_SELECTOR is set
+// Checks that no device is selected when no device of desired type is
+// available.
+//
+// REQUIRES: cpu,gpu,accelerator
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+  const char *envVal = std::getenv("ONEAPI_DEVICE_SELECTOR");
+  std::string forcedPIs;
+  if (envVal) {
+    std::cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+    forcedPIs = envVal;
+  }
+  if (!envVal || forcedPIs == "*" ||
+      forcedPIs.find("level_zero:gpu") != std::string::npos) {
+    default_selector ds;
+    device d = ds.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("Level-Zero") != string::npos);
+    std::cout << "Level-zero GPU Device is found: " << std::boolalpha
+              << d.is_gpu() << std::endl;
+  }
+  if (envVal && forcedPIs != "*" &&
+      forcedPIs.find("opencl:gpu") != std::string::npos) {
+    gpu_selector gs;
+    device d = gs.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("OpenCL") != string::npos);
+    std::cout << "OpenCL GPU Device is found: " << std::boolalpha << d.is_gpu()
+              << std::endl;
+  }
+  if (!envVal || forcedPIs == "*" ||
+      forcedPIs.find("cpu") != std::string::npos) {
+    cpu_selector cs;
+    device d = cs.select_device();
+    std::cout << "CPU device is found: " << d.is_cpu() << std::endl;
+  }
+  if (!envVal || forcedPIs == "*" ||
+      forcedPIs.find("acc") != std::string::npos) {
+    accelerator_selector as;
+    device d = as.select_device();
+    std::cout << "ACC device is found: " << d.is_accelerator() << std::endl;
+  }
+  if (envVal && (forcedPIs.find("cpu") == std::string::npos &&
+                 forcedPIs.find("opencl") == std::string::npos &&
+                 forcedPIs.find("*") == std::string::npos)) {
+    try {
+      cpu_selector cs;
+      device d = cs.select_device();
+    } catch (...) {
+      std::cout << "Expectedly, CPU device is not found." << std::endl;
+      return 0; // expected
+    }
+    std::cerr << "Error: CPU device is found" << std::endl;
+    return -1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select_device_acc.cpp b/sycl/test-e2e/FilterSelector/select_device_acc.cpp
new file mode 100644
index 0000000000000..9cb9eb3366b60
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select_device_acc.cpp
@@ -0,0 +1,63 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='*:acc' %t.out
+//
+// Checks if only specified device types can be acquired from select_device
+// when ONEAPI_DEVICE_SELECTOR is set
+// Checks that no device is selected when no device of desired type is
+// available.
+//
+// REQUIRES: opencl,accelerator
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+  const char *envVal = std::getenv("ONEAPI_DEVICE_SELECTOR");
+  std::string forcedPIs;
+  if (envVal) {
+    std::cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+    forcedPIs = envVal;
+  }
+  {
+    default_selector ds;
+    device d = ds.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("OpenCL") != string::npos);
+    std::cout << "ACC Device is found: " << std::boolalpha << d.is_accelerator()
+              << std::endl;
+  }
+  {
+    gpu_selector gs;
+    try {
+      device d = gs.select_device();
+      std::cerr << "GPU Device is found in error: " << std::boolalpha
+                << d.is_gpu() << std::endl;
+      return -1;
+    } catch (...) {
+      std::cout << "Expectedly, GPU device is not found." << std::endl;
+    }
+  }
+  {
+    cpu_selector cs;
+    try {
+      device d = cs.select_device();
+      std::cerr << "CPU Device is found in error: " << std::boolalpha
+                << d.is_cpu() << std::endl;
+      return -1;
+    } catch (...) {
+      std::cout << "Expectedly, CPU device is not found." << std::endl;
+    }
+  }
+  {
+    accelerator_selector as;
+    device d = as.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("OpenCL") != string::npos);
+    std::cout << "ACC device is found: " << d.is_accelerator() << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select_device_cpu.cpp b/sycl/test-e2e/FilterSelector/select_device_cpu.cpp
new file mode 100644
index 0000000000000..92a79d99b14ae
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select_device_cpu.cpp
@@ -0,0 +1,61 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='*:cpu' %t.out
+//
+// Checks if only specified device types can be acquired from select_device
+// when ONEAPI_DEVICE_SELECTOR is set
+// Checks that no device is selected when no device of desired type is
+// available.
+//
+// REQUIRES: opencl,cpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+  const char *envVal = std::getenv("ONEAPI_DEVICE_SELECTOR");
+  std::string forcedPIs;
+  if (envVal) {
+    std::cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+    forcedPIs = envVal;
+  }
+  {
+    default_selector ds;
+    device d = ds.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("OpenCL") != string::npos);
+    std::cout << "CPU Device is found: " << std::boolalpha << d.is_cpu()
+              << std::endl;
+  }
+  {
+    gpu_selector gs;
+    try {
+      device d = gs.select_device();
+      std::cerr << "GPU Device is found: " << std::boolalpha << d.is_gpu()
+                << std::endl;
+      return -1;
+    } catch (...) {
+      std::cout << "Expectedly, GPU device is not found." << std::endl;
+    }
+  }
+  {
+    cpu_selector cs;
+    device d = cs.select_device();
+    std::cout << "CPU device is found: " << d.is_cpu() << std::endl;
+  }
+  {
+    accelerator_selector as;
+    try {
+      device d = as.select_device();
+      std::cerr << "ACC device is found in error: " << d.is_accelerator()
+                << std::endl;
+      return -1;
+    } catch (...) {
+      std::cout << "Expectedly, ACC device is not found." << std::endl;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select_device_cuda.cpp b/sycl/test-e2e/FilterSelector/select_device_cuda.cpp
new file mode 100644
index 0000000000000..93cf500770dba
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select_device_cuda.cpp
@@ -0,0 +1,62 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=cuda:gpu %t.out
+//
+// Checks if only specified device types can be acquired from select_device
+// when ONEAPI_DEVICE_SELECTOR is set.
+// Checks that no device is selected when no device of desired type is
+// available.
+//
+// REQUIRES: cuda,gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+  const char *envVal = getenv("ONEAPI_DEVICE_SELECTOR");
+  string forcedPIs;
+  if (envVal) {
+    cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+    forcedPIs = envVal;
+  }
+
+  {
+    default_selector ds;
+    device d = ds.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("CUDA") != string::npos);
+    cout << "CUDA GPU Device is found: " << boolalpha << d.is_gpu()
+         << std::endl;
+  }
+  {
+    gpu_selector gs;
+    device d = gs.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("CUDA") != string::npos);
+    cout << name << " is found: " << boolalpha << d.is_gpu() << std::endl;
+  }
+  {
+    cpu_selector cs;
+    try {
+      device d = cs.select_device();
+      cerr << "CPU device is found in error: " << d.is_cpu() << std::endl;
+      return -1;
+    } catch (...) {
+      cout << "Expectedly, cpu device is not found." << std::endl;
+    }
+  }
+  {
+    accelerator_selector as;
+    try {
+      device d = as.select_device();
+      cerr << "ACC device is found in error: " << d.is_accelerator()
+           << std::endl;
+    } catch (...) {
+      cout << "Expectedly, ACC device is not found." << std::endl;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select_device_level_zero.cpp b/sycl/test-e2e/FilterSelector/select_device_level_zero.cpp
new file mode 100644
index 0000000000000..acfd454151df2
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select_device_level_zero.cpp
@@ -0,0 +1,62 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=level_zero:gpu %t.out
+//
+// Checks if only specified device types can be acquired from select_device
+// when ONEAPI_DEVICE_SELECTOR is set
+// Checks that no device is selected when no device of desired type is
+// available.
+//
+// REQUIRES: level_zero,gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+  const char *envVal = getenv("ONEAPI_DEVICE_SELECTOR");
+  string forcedPIs;
+  if (envVal) {
+    cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+    forcedPIs = envVal;
+  }
+
+  {
+    default_selector ds;
+    device d = ds.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("Level-Zero") != string::npos);
+    cout << "Level-Zero GPU Device is found: " << boolalpha << d.is_gpu()
+         << std::endl;
+  }
+  {
+    gpu_selector gs;
+    device d = gs.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("Level-Zero") != string::npos);
+    cout << name << " is found: " << boolalpha << d.is_gpu() << std::endl;
+  }
+  {
+    cpu_selector cs;
+    try {
+      device d = cs.select_device();
+      cerr << "CPU device is found in error: " << d.is_cpu() << std::endl;
+      return -1;
+    } catch (...) {
+      cout << "Expectedly, cpu device is not found." << std::endl;
+    }
+  }
+  {
+    accelerator_selector as;
+    try {
+      device d = as.select_device();
+      cerr << "ACC device is found in error: " << d.is_accelerator()
+           << std::endl;
+    } catch (...) {
+      cout << "Expectedly, ACC device is not found." << std::endl;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/FilterSelector/select_device_opencl.cpp b/sycl/test-e2e/FilterSelector/select_device_opencl.cpp
new file mode 100644
index 0000000000000..4b73047b1b4d4
--- /dev/null
+++ b/sycl/test-e2e/FilterSelector/select_device_opencl.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='opencl:*' %t.out
+//
+// Checks if only specified device types can be acquired from select_device
+// when ONEAPI_DEVICE_SELECTOR is set
+// Checks that no device is selected when no device of desired type is
+// available.
+//
+// REQUIRES: opencl,gpu,cpu,accelerator
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+  const char *envVal = getenv("ONEAPI_DEVICE_SELECTOR");
+  string forcedPIs;
+  if (envVal) {
+    cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+    forcedPIs = envVal;
+  }
+
+  {
+    default_selector ds;
+    device d = ds.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("OpenCL") != string::npos);
+    cout << "OpenCL GPU Device is found: " << boolalpha << d.is_gpu()
+         << std::endl;
+  }
+  {
+    gpu_selector gs;
+    device d = gs.select_device();
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("OpenCL") != string::npos);
+    cout << name << " is found: " << boolalpha << d.is_gpu() << std::endl;
+  }
+  {
+    cpu_selector cs;
+    device d = cs.select_device();
+    cout << "CPU device is found : " << d.is_cpu() << std::endl;
+  }
+  {
+    accelerator_selector as;
+    device d = as.select_device();
+    cout << "ACC device is found : " << d.is_accelerator() << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Functor/functor_inheritance.cpp b/sycl/test-e2e/Functor/functor_inheritance.cpp
new file mode 100644
index 0000000000000..ce072cec75bc0
--- /dev/null
+++ b/sycl/test-e2e/Functor/functor_inheritance.cpp
@@ -0,0 +1,59 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -o %t.out %s
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+constexpr auto sycl_read_write = sycl::access::mode::read_write;
+constexpr auto sycl_device = sycl::access::target::device;
+
+struct SecondBase {
+  SecondBase(int _E) : E(_E) {}
+  int E;
+};
+
+struct InnerFieldBase {
+  InnerFieldBase(int _D) : D(_D) {}
+  int D;
+};
+
+struct InnerField : public InnerFieldBase {
+  InnerField(int _C, int _D) : C(_C), InnerFieldBase(_D) {}
+  int C;
+};
+
+struct Base {
+  Base(int _B, int _C, int _D) : B(_B), InnerObj(_C, _D) {}
+  int B;
+  InnerField InnerObj;
+};
+
+struct Derived : public Base, public SecondBase {
+  Derived(int _A, int _B, int _C, int _D, int _E,
+          sycl::accessor<int, 1, sycl_read_write, sycl_device> &_Acc)
+      : A(_A), Acc(_Acc), /*Out(_Out),*/ Base(_B, _C, _D), SecondBase(_E) {}
+  void operator()() const {
+    Acc[0] = this->A + this->B + this->InnerObj.C + this->InnerObj.D + this->E;
+  }
+
+  int A;
+  sycl::accessor<int, 1, sycl_read_write, sycl_device> Acc;
+};
+
+int main() {
+  int A[] = {10};
+  {
+    sycl::queue Q;
+    sycl::buffer<int, 1> Buf(A, 1);
+
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl_read_write, sycl_device>(cgh);
+      Derived F = {1, 2, 3, 4, 5, Acc /*, Out*/};
+      cgh.single_task(F);
+    });
+  }
+  assert(A[0] == 15);
+  return 0;
+}
diff --git a/sycl/test-e2e/Functor/kernel_functor.cpp b/sycl/test-e2e/Functor/kernel_functor.cpp
new file mode 100644
index 0000000000000..99aa7af635c15
--- /dev/null
+++ b/sycl/test-e2e/Functor/kernel_functor.cpp
@@ -0,0 +1,171 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -o %t.out %s
+// RUN: cd %T
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--- kernel_functor.cpp -
+// This test illustrates defining kernels as named function objects (functors)
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+constexpr auto sycl_read_write = sycl::access::mode::read_write;
+constexpr auto sycl_device = sycl::access::target::device;
+
+// Case 1:
+// - functor class is defined in an anonymous namespace
+// - the '()' operator:
+//   * does not have parameters (to be used in 'single_task').
+//   * has the 'const' qualifier
+namespace {
+class Functor1 {
+public:
+  Functor1(int X_, sycl::accessor<int, 1, sycl_read_write, sycl_device> &Acc_)
+      : X(X_), Acc(Acc_) {}
+
+  void operator()() const { Acc[0] += X; }
+
+private:
+  int X;
+  sycl::accessor<int, 1, sycl_read_write, sycl_device> Acc;
+};
+} // namespace
+
+// Case 2:
+// - functor class is defined in a namespace
+// - the '()' operator:
+//   * does not have parameters (to be used in 'single_task').
+//   * has the 'const' qualifier
+namespace ns {
+class Functor2 {
+public:
+  Functor2(int X_, sycl::accessor<int, 1, sycl_read_write, sycl_device> &Acc_)
+      : X(X_), Acc(Acc_) {}
+
+  // sycl::accessor's operator [] is const, hence 'const' is possible below
+  void operator()() const { Acc[0] += X; }
+
+private:
+  int X;
+  sycl::accessor<int, 1, sycl_read_write, sycl_device> Acc;
+};
+} // namespace ns
+
+// Case 2:
+// - functor class is templated and defined in the translation unit scope
+// - the '()' operator:
+//   * has a parameter of type sycl::id<1> (to be used in 'parallel_for').
+//   * has the 'const' qualifier
+template <typename T> class TmplFunctor {
+public:
+  TmplFunctor(T X_, sycl::accessor<T, 1, sycl_read_write, sycl_device> &Acc_)
+      : X(X_), Acc(Acc_) {}
+
+  void operator()(sycl::id<1> id) const { Acc[id] += X; }
+
+private:
+  T X;
+  sycl::accessor<T, 1, sycl_read_write, sycl_device> Acc;
+};
+
+// Case 3:
+// - functor class is templated and defined in the translation unit scope
+// - the '()' operator:
+//   * has a parameter of type sycl::id<1> (to be used in 'parallel_for').
+//   * has the 'const' qualifier
+template <typename T> class TmplConstFunctor {
+public:
+  TmplConstFunctor(T X_,
+                   sycl::accessor<T, 1, sycl_read_write, sycl_device> &Acc_)
+      : X(X_), Acc(Acc_) {}
+
+  void operator()(sycl::id<1> id) const { Acc[id] += X; }
+
+private:
+  T X;
+  sycl::accessor<T, 1, sycl_read_write, sycl_device> Acc;
+};
+
+// Exercise non-templated functors in 'single_task'.
+int foo(int X) {
+  int A[] = {10};
+  {
+    sycl::queue Q;
+    sycl::buffer<int, 1> Buf(A, 1);
+
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl_read_write, sycl_device>(cgh);
+      Functor1 F(X, Acc);
+
+      cgh.single_task(F);
+    });
+
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl_read_write, sycl_device>(cgh);
+      ns::Functor2 F(X, Acc);
+
+      cgh.single_task(F);
+    });
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl_read_write, sycl_device>(cgh);
+      ns::Functor2 F(X, Acc);
+
+      cgh.single_task(F);
+    });
+  }
+  return A[0];
+}
+
+#define ARR_LEN(x) sizeof(x) / sizeof(x[0])
+
+// Exercise templated functors in 'parallel_for'.
+template <typename T> T bar(T X) {
+  T A[] = {(T)10, (T)10};
+  {
+    sycl::queue Q;
+    sycl::buffer<T, 1> Buf(A, ARR_LEN(A));
+
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.template get_access<sycl_read_write, sycl_device>(cgh);
+      TmplFunctor<T> F(X, Acc);
+
+      cgh.parallel_for(sycl::range<1>(ARR_LEN(A)), F);
+    });
+    // Spice with lambdas to make sure functors and lambdas work together.
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.template get_access<sycl_read_write, sycl_device>(cgh);
+      cgh.parallel_for<class LambdaKernel>(
+          sycl::range<1>(ARR_LEN(A)), [=](sycl::id<1> id) { Acc[id] += X; });
+    });
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.template get_access<sycl_read_write, sycl_device>(cgh);
+      TmplConstFunctor<T> F(X, Acc);
+
+      cgh.parallel_for(sycl::range<1>(ARR_LEN(A)), F);
+    });
+  }
+  T res = (T)0;
+
+  for (int i = 0; i < ARR_LEN(A); i++)
+    res += A[i];
+  return res;
+}
+
+int main() {
+  const int Res1 = foo(10);
+  const int Res2 = bar(10);
+  const int Gold1 = 40;
+  const int Gold2 = 80;
+
+  assert(Res1 == Gold1);
+  assert(Res2 == Gold2);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/all_of.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/all_of.cpp
new file mode 100644
index 0000000000000..7dcfa7f944405
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/all_of.cpp
@@ -0,0 +1,64 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <class Predicate> class all_of_kernel;
+
+struct IsEven {
+  bool operator()(int i) const { return (i % 2) == 0; }
+};
+
+template <typename InputContainer, typename OutputContainer, class Predicate>
+void test(queue q, InputContainer input, OutputContainer output,
+          Predicate pred) {
+  typedef class all_of_kernel<Predicate> kernel_name;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<int> in_buf(input.data(), input.size());
+    buffer<bool> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[0] = all_of_group(g, pred(in[lid]));
+        out[1] = all_of_group(g, in[lid], pred);
+        out[2] = joint_all_of(g, in.get_pointer(), in.get_pointer() + N, pred);
+      });
+    });
+  }
+  bool expected = std::all_of(input.begin(), input.end(), pred);
+  assert(output[0] == expected);
+  assert(output[1] == expected);
+  assert(output[2] == expected);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<bool, 3> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), false);
+
+  test(q, input, output, IsEven());
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/any_of.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/any_of.cpp
new file mode 100644
index 0000000000000..d5a6dcd706555
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/any_of.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <class Predicate> class any_of_kernel;
+
+struct GeZero {
+  bool operator()(int i) const { return i >= 0; }
+};
+struct IsEven {
+  bool operator()(int i) const { return (i % 2) == 0; }
+};
+struct LtZero {
+  bool operator()(int i) const { return i < 0; }
+};
+
+template <typename InputContainer, typename OutputContainer, class Predicate>
+void test(queue q, InputContainer input, OutputContainer output,
+          Predicate pred) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class any_of_kernel<Predicate> kernel_name;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[0] = any_of_group(g, pred(in[lid]));
+        out[1] = any_of_group(g, in[lid], pred);
+        out[2] = joint_any_of(g, in.get_pointer(), in.get_pointer() + N, pred);
+      });
+    });
+  }
+  bool expected = std::any_of(input.begin(), input.end(), pred);
+  assert(output[0] == expected);
+  assert(output[1] == expected);
+  assert(output[2] == expected);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<bool, 3> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), false);
+
+  test(q, input, output, GeZero());
+  test(q, input, output, IsEven());
+  test(q, input, output, LtZero());
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/exclusive_scan.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/exclusive_scan.cpp
new file mode 100644
index 0000000000000..da6b9ef0efe6c
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/exclusive_scan.cpp
@@ -0,0 +1,157 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// disabling hip because some of the binary_ops tested are not supported
+// getting undefined symbols for a handful of __spirv__ * functions.
+// XFAIL: hip
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+
+template <class SpecializationKernelName, int TestNumber>
+class exclusive_scan_kernel;
+
+// std::exclusive_scan isn't implemented yet, so use serial implementation
+// instead
+namespace emu {
+template <typename InputIterator, typename OutputIterator,
+          class BinaryOperation, typename T>
+OutputIterator exclusive_scan(InputIterator first, InputIterator last,
+                              OutputIterator result, T init,
+                              BinaryOperation binary_op) {
+  T partial = init;
+  for (InputIterator it = first; it != last; ++it) {
+    *(result++) = partial;
+    partial = binary_op(partial, *it);
+  }
+  return result;
+}
+} // namespace emu
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 0> kernel_name0;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 1> kernel_name1;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 2> kernel_name2;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 3> kernel_name3;
+  OutputT init = 42;
+  size_t N = input.size();
+  size_t G = 64;
+  std::vector<OutputT> expected(N);
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name0>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = exclusive_scan_over_group(g, in[lid], binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + G, expected.begin(),
+                      identity, binary_op);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name1>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = exclusive_scan_over_group(g, in[lid], init, binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + G, expected.begin(), init,
+                      binary_op);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name2>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_exclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      identity, binary_op);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name3>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_exclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), init, binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + N, expected.begin(), init,
+                      binary_op);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, N> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, sycl::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, sycl::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, sycl::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, sycl::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, sycl::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, sycl::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelName_VzAPutpBRRJrQPB>(q, input, output,
+                                         sycl::multiplies<int>(), 1);
+  test<class KernelName_UXdGbr>(q, input, output, sycl::bit_or<int>(), 0);
+  test<class KernelName_saYaodNyJknrPW>(q, input, output, sycl::bit_xor<int>(),
+                                        0);
+  test<class KernelName_GPcuAlvAOjrDyP>(q, input, output, sycl::bit_and<int>(),
+                                        ~0);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/group_broadcast.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/group_broadcast.cpp
new file mode 100644
index 0000000000000..a8ace052d9f01
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/group_broadcast.cpp
@@ -0,0 +1,98 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <complex>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <typename kernel_name, typename InputContainer,
+          typename OutputContainer>
+void test(queue q, InputContainer input, OutputContainer output) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  size_t N = input.size();
+  size_t G = 4;
+  range<2> R(G, G);
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name>(nd_range<2>(R, R), [=](nd_item<2> it) {
+        group<2> g = it.get_group();
+        int lid = it.get_local_linear_id();
+        out[0] = group_broadcast(g, in[lid]);
+        out[1] = group_broadcast(g, in[lid], group<2>::id_type(1, 2));
+        out[2] =
+            group_broadcast(g, in[lid], group<2>::linear_id_type(2 * G + 1));
+      });
+    });
+  }
+  assert(output[0] == input[0]);
+  assert(output[1] == input[1 * G + 2]);
+  assert(output[2] == input[2 * G + 1]);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 16;
+
+  // Test built-in scalar type
+  {
+    std::array<int, N> input;
+    std::array<int, 3> output;
+    std::iota(input.begin(), input.end(), 1);
+    std::fill(output.begin(), output.end(), false);
+    test<class KernelName_EFL>(q, input, output);
+  }
+
+  // Test pointer types
+  {
+    std::array<int *, N> input;
+    std::array<int *, 3> output;
+    for (int i = 0; i < N; ++i) {
+      input[i] = static_cast<int *>(0x0) + i;
+    }
+    std::fill(output.begin(), output.end(), static_cast<int *>(0x0));
+    test<class KernelName_NrqELzFQToOSPsRNMi>(q, input, output);
+  }
+
+  // Test user-defined type
+  // - Use complex as a proxy for this
+  // - Test float and double to test 64-bit and 128-bit types
+  {
+    std::array<std::complex<float>, N> input;
+    std::array<std::complex<float>, 3> output;
+    for (int i = 0; i < N; ++i) {
+      input[i] =
+          std::complex<float>(0, 1) + (float)i * std::complex<float>(2, 2);
+    }
+    std::fill(output.begin(), output.end(), std::complex<float>(0, 0));
+    test<class KernelName_rCblcml>(q, input, output);
+  }
+  if (q.get_device().has(sycl::aspect::fp64)) {
+    std::array<std::complex<double>, N> input;
+    std::array<std::complex<double>, 3> output;
+    for (int i = 0; i < N; ++i) {
+      input[i] =
+          std::complex<double>(0, 1) + (double)i * std::complex<double>(2, 2);
+    }
+    std::fill(output.begin(), output.end(), std::complex<float>(0, 0));
+    test<class KernelName_NCWhjnQ>(q, input, output);
+  }
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/helpers.hpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/helpers.hpp
new file mode 100644
index 0000000000000..aa44cc84c9718
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/helpers.hpp
@@ -0,0 +1,168 @@
+//==---------- helpers.hpp -*- C++ -*--------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <bitset>
+#include <cmath>
+#include <complex>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// ---- utils
+template <typename T1, int N> struct utils {
+  static T1 add_vec(const vec<T1, N> &v);
+  static bool cmp_vec(const vec<T1, N> &v, const vec<T1, N> &r);
+  static std::string stringify_vec(const vec<T1, N> &v);
+};
+template <typename T2> struct utils<T2, 1> {
+  static T2 add_vec(const vec<T2, 1> &v) { return v.s0(); }
+  static bool cmp_vec(const vec<T2, 1> &v, const vec<T2, 1> &r) {
+    return v.s0() == r.s0();
+  }
+  static std::string stringify_vec(const vec<T2, 1> &v) {
+    return std::to_string((T2)v.s0());
+  }
+};
+template <typename T2> struct utils<T2, 2> {
+  static T2 add_vec(const vec<T2, 2> &v) { return v.s0() + v.s1(); }
+  static bool cmp_vec(const vec<T2, 2> &v, const vec<T2, 2> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1();
+  }
+  static std::string stringify_vec(const vec<T2, 2> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + " )";
+  }
+};
+template <typename T2> struct utils<T2, 3> {
+  static T2 add_vec(const vec<T2, 3> &v) { return v.s0() + v.s1() + v.s2(); }
+  static bool cmp_vec(const vec<T2, 3> &v, const vec<T2, 3> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2();
+  }
+  static std::string stringify_vec(const vec<T2, 2> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + ", " + std::to_string((T2)v.s3()) +
+           " )";
+  }
+};
+template <typename T2> struct utils<T2, 4> {
+  static T2 add_vec(const vec<T2, 4> &v) {
+    return v.s0() + v.s1() + v.s2() + v.s3();
+  }
+  static bool cmp_vec(const vec<T2, 4> &v, const vec<T2, 4> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2() &&
+           v.s3() == r.s3();
+  }
+  static std::string stringify_vec(const vec<T2, 4> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + std::to_string((T2)v.s2()) + ", " +
+           std::to_string((T2)v.s3()) + " )";
+  }
+};
+template <typename T2> struct utils<T2, 8> {
+  static T2 add_vec(const vec<T2, 8> &v) {
+    return v.s0() + v.s1() + v.s2() + v.s3() + v.s4() + v.s5() + v.s6() +
+           v.s7();
+  }
+  static bool cmp_vec(const vec<T2, 8> &v, const vec<T2, 8> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2() &&
+           v.s3() == r.s3() && v.s4() == r.s4() && v.s5() == r.s5() &&
+           v.s6() == r.s6() && v.s7() == r.s7();
+  }
+  static std::string stringify_vec(const vec<T2, 8> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + std::to_string((T2)v.s2()) + ", " +
+           std::to_string((T2)v.s3()) + std::to_string((T2)v.s4()) + ", " +
+           std::to_string((T2)v.s5()) + std::to_string((T2)v.s6()) + ", " +
+           std::to_string((T2)v.s7()) + " )";
+  }
+};
+
+template <typename T2> struct utils<T2, 16> {
+  static T2 add_vec(const vec<T2, 16> &v) {
+    return v.s0() + v.s1() + v.s2() + v.s3() + v.s4() + v.s5() + v.s6() +
+           v.s7() + v.s8() + v.s9() + v.sA() + v.sB() + v.sC() + v.sD() +
+           v.sE() + v.sF();
+  }
+  static bool cmp_vec(const vec<T2, 16> &v, const vec<T2, 16> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2() &&
+           v.s3() == r.s3() && v.s4() == r.s4() && v.s5() == r.s5() &&
+           v.s6() == r.s6() && v.s7() == r.s7() && v.s8() == r.s8() &&
+           v.s9() == r.s9() && v.sA() == r.sA() && v.sB() == r.sB() &&
+           v.sC() == r.sC() && v.sD() == r.sD() && v.sE() == r.sE() &&
+           v.sF() == r.sF();
+  }
+  static std::string stringify_vec(const vec<T2, 16> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + std::to_string((T2)v.s2()) + ", " +
+           std::to_string((T2)v.s3()) + std::to_string((T2)v.s4()) + ", " +
+           std::to_string((T2)v.s5()) + std::to_string((T2)v.s6()) + ", " +
+           std::to_string((T2)v.s7()) + std::to_string((T2)v.s8()) + ", " +
+           std::to_string((T2)v.s9()) + std::to_string((T2)v.sA()) + ", " +
+           std::to_string((T2)v.sB()) + std::to_string((T2)v.sC()) + ", " +
+           std::to_string((T2)v.sE()) + std::to_string((T2)v.sD()) + ", " +
+           std::to_string((T2)v.sF()) + " )";
+  }
+};
+
+// ---- exit_if_not_equal
+template <typename T> void exit_if_not_equal(T val, T ref, const char *name) {
+  if (std::is_floating_point<T>::value) {
+    auto cmp_val = std::bitset<CHAR_BIT * sizeof(T)>(val);
+    auto cmp_ref = std::bitset<CHAR_BIT * sizeof(T)>(ref);
+    if (cmp_val != cmp_ref) {
+      std::cout << "Unexpected result for " << name << ": " << val << "("
+                << cmp_val << ") expected value: " << ref << "(" << cmp_ref
+                << ")" << std::endl;
+      exit(1);
+    }
+  } else {
+    if ((val - ref) != 0) {
+      std::cout << "Unexpected result for " << name << ": " << (long)val
+                << " expected value: " << (long)ref << std::endl;
+      exit(1);
+    }
+  }
+}
+
+// template <typename T>
+// void exit_if_not_equal(std::complex<T> val, std::complex<T> ref,
+//                        const char *name) {
+//   std::string Name{name};
+//   exit_if_not_equal(val.real(), ref.real(), (Name + ".real()").c_str());
+//   exit_if_not_equal(val.imag(), ref.imag(), (Name + ".imag()").c_str());
+// }
+
+template <typename T> void exit_if_not_equal(T *val, T *ref, const char *name) {
+  if ((val - ref) != 0) {
+    std::cout << "Unexpected result for " << name << ": " << val
+              << " expected value: " << ref << std::endl;
+    exit(1);
+  }
+}
+
+template <> void exit_if_not_equal(half val, half ref, const char *name) {
+  int16_t cmp_val = reinterpret_cast<int16_t &>(val);
+  int16_t cmp_ref = reinterpret_cast<int16_t &>(ref);
+  if (std::abs(cmp_val - cmp_ref) > 1) {
+    std::cout << "Unexpected result for " << name << ": " << (float)val
+              << " expected value: " << (float)ref << std::endl;
+    exit(1);
+  }
+}
+
+template <typename T, int N>
+void exit_if_not_equal_vec(vec<T, N> val, vec<T, N> ref, const char *name) {
+  if (!utils<T, N>::cmp_vec(ref, val)) {
+    std::cout << "Unexpected result for " << name << ": "
+              << utils<T, N>::stringify_vec(val)
+              << " expected value: " << utils<T, N>::stringify_vec(ref)
+              << std::endl;
+
+    exit(1);
+  }
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/inclusive_scan.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/inclusive_scan.cpp
new file mode 100644
index 0000000000000..43866b929c4a9
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/inclusive_scan.cpp
@@ -0,0 +1,158 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// disabling hip because some of the binary_ops tested are not supported
+// getting undefined symbols for a handful of __spirv__ * functions.
+// XFAIL: hip
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+
+template <class SpecializationKernelName, int TestNumber>
+class inclusive_scan_kernel;
+
+// std::inclusive_scan isn't implemented yet, so use serial implementation
+// instead
+namespace emu {
+template <typename InputIterator, typename OutputIterator,
+          class BinaryOperation, typename T>
+OutputIterator inclusive_scan(InputIterator first, InputIterator last,
+                              OutputIterator result, BinaryOperation binary_op,
+                              T init) {
+  T partial = init;
+  for (InputIterator it = first; it != last; ++it) {
+    partial = binary_op(partial, *it);
+    *(result++) = partial;
+  }
+  return result;
+}
+} // namespace emu
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 0> kernel_name0;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 1> kernel_name1;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 2> kernel_name2;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 3> kernel_name3;
+  OutputT init = 42;
+  size_t N = input.size();
+  size_t G = 64;
+  std::vector<OutputT> expected(N);
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name0>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = inclusive_scan_over_group(g, in[lid], binary_op);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + G, expected.begin(),
+                      binary_op, identity);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name1>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = inclusive_scan_over_group(g, in[lid], binary_op, init);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + G, expected.begin(),
+                      binary_op, init);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name2>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_inclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), binary_op);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      binary_op, identity);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name3>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_inclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), binary_op, init);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      binary_op, init);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, N> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, sycl::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, sycl::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, sycl::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, sycl::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, sycl::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, sycl::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelName_zMyjxUrBgeUGoxmDwhvJ>(q, input, output,
+                                              sycl::multiplies<int>(), 1);
+  test<class KernelName_SljjtroxNRaAXoVnT>(q, input, output,
+                                           sycl::bit_or<int>(), 0);
+  test<class KernelName_yXIZfjwjxQGiPeQAnc>(q, input, output,
+                                            sycl::bit_xor<int>(), 0);
+  test<class KernelName_xGnAnMYHvqekCk>(q, input, output, sycl::bit_and<int>(),
+                                        ~0);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/none_of.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/none_of.cpp
new file mode 100644
index 0000000000000..4e2a993b7dd04
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/none_of.cpp
@@ -0,0 +1,72 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <class Predicate> class none_of_kernel;
+
+struct GeZero {
+  bool operator()(int i) const { return i >= 0; }
+};
+struct IsEven {
+  bool operator()(int i) const { return (i % 2) == 0; }
+};
+struct LtZero {
+  bool operator()(int i) const { return i < 0; }
+};
+
+template <typename InputContainer, typename OutputContainer, class Predicate>
+void test(queue q, InputContainer input, OutputContainer output,
+          Predicate pred) {
+  typedef class none_of_kernel<Predicate> kernel_name;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<int> in_buf(input.data(), input.size());
+    buffer<bool> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[0] = none_of_group(g, pred(in[lid]));
+        out[1] = none_of_group(g, in[lid], pred);
+        out[2] = joint_none_of(g, in.get_pointer(), in.get_pointer() + N, pred);
+      });
+    });
+  }
+  bool expected = std::none_of(input.begin(), input.end(), pred);
+  assert(output[0] == expected);
+  assert(output[1] == expected);
+  assert(output[2] == expected);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<bool, 3> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), false);
+
+  test(q, input, output, GeZero());
+  test(q, input, output, IsEven());
+  test(q, input, output, LtZero());
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/permute_select.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/permute_select.cpp
new file mode 100644
index 0000000000000..57bc48a38d721
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/permute_select.cpp
@@ -0,0 +1,35 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==------------ permute_select.cpp -*- C++ -*-----------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "permute_select.hpp"
+
+int main() {
+  queue Queue;
+  check<short>(Queue);
+  check<unsigned short>(Queue);
+  check<int>(Queue);
+  check<int, 2>(Queue);
+  check<int, 4>(Queue);
+  check<int, 8>(Queue);
+  check<int, 16>(Queue);
+  check<unsigned int>(Queue);
+  check<unsigned int, 2>(Queue);
+  check<unsigned int, 4>(Queue);
+  check<unsigned int, 8>(Queue);
+  check<unsigned int, 16>(Queue);
+  check<long>(Queue);
+  check<unsigned long>(Queue);
+  check<float>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/permute_select.hpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/permute_select.hpp
new file mode 100644
index 0000000000000..c371670ab1020
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/permute_select.hpp
@@ -0,0 +1,141 @@
+//==----- permute_select.hpp -*- C++ -*------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helpers.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+template <typename T, int N> class sycl_subgr;
+
+using namespace sycl;
+
+// TODO remove this workaround when clang will support correct generation of
+// half typename in integration header
+struct wa_half;
+
+template <typename T, int N>
+void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<vec<T, N>> buf_select(G);
+    buffer<vec<T, N>> buf_xor(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      accessor acc_select{buf_select, cgh, sycl::read_write};
+      accessor acc_xor{buf_xor, cgh, sycl::read_write};
+      accessor sgsizeacc{sgsizebuf, cgh, sycl::read_write};
+      cgh.parallel_for<sycl_subgr<T, N>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        uint32_t wggid = NdItem.get_global_id(0);
+        uint32_t sgid = SG.get_group_id().get(0);
+        vec<T, N> vwggid(wggid), vsgid(sgid);
+        if (wggid == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+
+        /*GID of middle element in every subgroup*/
+        acc_select[NdItem.get_global_id()] =
+            select_from_group(SG, vwggid, SG.get_max_local_range()[0] / 2);
+        /* Save GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+        acc_xor[NdItem.get_global_id()] = permute_group_by_xor(
+            SG, vwggid, sgid % SG.get_max_local_range()[0]);
+      });
+    });
+    host_accessor acc_select{buf_select, sycl::read_write};
+    host_accessor acc_xor{buf_xor, sycl::read_write};
+    host_accessor sgsizeacc{sgsizebuf, sycl::read_write};
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      /*GID of middle element in every subgroup*/
+      exit_if_not_equal_vec<T, N>(
+          acc_select[j], vec<T, N>(j / L * L + SGid * sg_size + sg_size / 2),
+          "select_from_group");
+      /* Value GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+      exit_if_not_equal_vec(acc_xor[j],
+                            vec<T, N>(SGBeginGid + (SGLid ^ (SGid % sg_size))),
+                            "permute_group_by_xor");
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+template <typename T> void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> buf_select(G);
+    buffer<T> buf_xor(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      accessor acc_select{buf_select, cgh, sycl::read_write};
+      accessor acc_xor{buf_xor, cgh, sycl::read_write};
+      accessor sgsizeacc{sgsizebuf, cgh, sycl::read_write};
+      cgh.parallel_for<sycl_subgr<T, 0>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        uint32_t wggid = NdItem.get_global_id(0);
+        uint32_t sgid = SG.get_group_id().get(0);
+        if (wggid == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+
+        /*GID of middle element in every subgroup*/
+        acc_select[NdItem.get_global_id()] =
+            select_from_group(SG, wggid, SG.get_max_local_range()[0] / 2);
+        /* Save GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+        acc_xor[NdItem.get_global_id()] =
+            permute_group_by_xor(SG, wggid, sgid % SG.get_max_local_range()[0]);
+      });
+    });
+    host_accessor acc_select{buf_select, sycl::read_write};
+    host_accessor acc_xor{buf_xor, sycl::read_write};
+    host_accessor sgsizeacc{sgsizebuf, sycl::read_write};
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+
+      /*GID of middle element in every subgroup*/
+      exit_if_not_equal<T>(acc_select[j],
+                           j / L * L + SGid * sg_size + sg_size / 2,
+                           "select_from_group");
+
+      /* Value GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+      exit_if_not_equal<T>(acc_xor[j], SGBeginGid + (SGLid ^ (SGid % sg_size)),
+                           "permute_group_by_xor");
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/reduce.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/reduce.cpp
new file mode 100644
index 0000000000000..5af1bbb0d133e
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/reduce.cpp
@@ -0,0 +1,94 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// disabling hip because some of the binary_ops tested are not supported
+// getting undefined symbols for a handful of __spirv__ * functions.
+// XFAIL: hip
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  OutputT init = 42;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<SpecializationKernelName>(
+          nd_range<1>(G, G), [=](nd_item<1> it) {
+            group<1> g = it.get_group();
+            int lid = it.get_local_id(0);
+            out[0] = reduce_over_group(g, in[lid], binary_op);
+            out[1] = reduce_over_group(g, in[lid], init, binary_op);
+            out[2] = joint_reduce(g, in.get_pointer(), in.get_pointer() + N,
+                                  binary_op);
+            out[3] = joint_reduce(g, in.get_pointer(), in.get_pointer() + N,
+                                  init, binary_op);
+          });
+    });
+  }
+  // std::reduce is not implemented yet, so use std::accumulate instead
+  assert(output[0] == std::accumulate(input.begin(), input.begin() + G,
+                                      identity, binary_op));
+  assert(output[1] ==
+         std::accumulate(input.begin(), input.begin() + G, init, binary_op));
+  assert(output[2] ==
+         std::accumulate(input.begin(), input.end(), identity, binary_op));
+  assert(output[3] ==
+         std::accumulate(input.begin(), input.end(), init, binary_op));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, 4> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, sycl::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, sycl::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, sycl::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, sycl::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, sycl::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, sycl::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelName_WonwuUVPUPOTKRKIBtT>(q, input, output,
+                                             sycl::multiplies<int>(), 1);
+  test<class KernelName_qYBaJDZTMGkdIwD>(q, input, output, sycl::bit_or<int>(),
+                                         0);
+  test<class KernelName_eLSFt>(q, input, output, sycl::bit_xor<int>(), 0);
+  test<class KernelName_uFhJnxSVhNAiFPTG>(q, input, output,
+                                          sycl::bit_and<int>(), ~0);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/reduce_over_group_size.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/reduce_over_group_size.cpp
new file mode 100644
index 0000000000000..5f89f0c352ffa
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/reduce_over_group_size.cpp
@@ -0,0 +1,114 @@
+// Test hangs on AMD with https://github.com/intel/llvm/pull/8412
+// UNSUPPORTED: hip_amd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s  -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -O0 %s -o %t_O0.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_O0.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_O0.out
+// RUN: %ACC_RUN_PLACEHOLDER %t_O0.out
+
+/*
+    test performs a lattice reduction.
+    sycl::vec<float> is sensitive to .get_size() vs .size() in SYCL headers
+    (ie, byte size versus vector size)
+*/
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#define NX 32
+#define NZ 2
+#define NV 8
+
+template <typename T>
+void groupSum(T *r, const T &in, const int k, sycl::group<2> &grp,
+              const int i) {
+
+  T tin = (i == k ? in : T(0));
+  auto out = reduce_over_group(grp, tin, sycl::plus<>());
+  if (i == k && grp.get_local_id()[1] == 0)
+    r[k] = out;
+}
+
+void test(queue q, float *r, float *x,
+          int n) { // r is 16 floats, x is 256 floats. n is 256
+
+  sycl::range<2> globalSize(NZ, NX); // 2,32
+  sycl::range<2> localSize(1, NX);   // 1,8       so 16 iterations
+  sycl::nd_range<2> range{globalSize, localSize};
+
+  q.submit([&](sycl::handler &h) {
+    h.parallel_for<>(range, [=](sycl::nd_item<2> ndi) {
+      int i = ndi.get_global_id(1);
+      int k = ndi.get_global_id(0);
+
+      using vecn = sycl::vec<float, NV>; // 8 floats
+      auto vx = reinterpret_cast<vecn *>(x);
+      auto vr = reinterpret_cast<vecn *>(r);
+
+      auto myg = ndi.get_group();
+
+      for (int iz = 0; iz < NZ; iz++) { // loop over Z (2)
+        groupSum(vr, vx[k * NX + i], k, myg, iz);
+      }
+    });
+  });
+  q.wait();
+}
+
+int main() {
+
+  queue q{default_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Device: " << dev.get_info<info::device::name>() << std::endl;
+
+  auto ctx = q.get_context();
+  int n = NX * NZ * NV; // 16 * 8 * 2 => 256
+  auto *x = (float *)sycl::malloc_shared(n * sizeof(float), dev,
+                                         ctx); // 256 * sizeof(float)
+  auto *r = (float *)sycl::malloc_shared(
+      NZ * NV * sizeof(float), dev, ctx); // 2 * 8 => 16   ( * sizeof(float) )
+
+  for (int i = 0; i < n; i++) {
+    x[i] = i;
+  }
+
+  q.wait();
+
+  test(q, r, x, n);
+
+  int fails = 0;
+  for (int k = 0; k < NZ; k++) {
+    float s[NV] = {0};
+    for (int i = 0; i < NX; i++) {
+      for (int j = 0; j < NV; j++) {
+        s[j] += x[(k * NX + i) * NV + j];
+      }
+    }
+    for (int j = 0; j < NV; j++) {
+      auto d = s[j] - r[k * NV + j];
+      if (abs(d) > 1e-10) {
+        printf("partial fail ");
+        printf("%i\t%i\t%g\t%g\n", k, j, s[j], r[k * NV + j]);
+        fails++;
+      } else {
+        printf("partial pass ");
+        printf("%i\t%i\t%g\t%g\n", k, j, s[j], r[k * NV + j]);
+      }
+    }
+  }
+
+  if (fails == 0) {
+    printf("test passed!\n");
+  } else {
+    printf("test failed!\n");
+  }
+  assert(fails == 0);
+  free(x, ctx);
+  free(r, ctx);
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/shift_left_right.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/shift_left_right.cpp
new file mode 100644
index 0000000000000..c68c1c3fae23a
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/shift_left_right.cpp
@@ -0,0 +1,35 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==------------ shift_left_right.cpp -*- C++ -*----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "shift_left_right.hpp"
+
+int main() {
+  queue Queue;
+  check<short>(Queue);
+  check<unsigned short>(Queue);
+  check<int>(Queue);
+  check<int, 2>(Queue);
+  check<int, 4>(Queue);
+  check<int, 8>(Queue);
+  check<int, 16>(Queue);
+  check<unsigned int>(Queue);
+  check<unsigned int, 2>(Queue);
+  check<unsigned int, 4>(Queue);
+  check<unsigned int, 8>(Queue);
+  check<unsigned int, 16>(Queue);
+  check<long>(Queue);
+  check<unsigned long>(Queue);
+  check<float>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/shift_left_right.hpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/shift_left_right.hpp
new file mode 100644
index 0000000000000..8aeb019fc0673
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/shift_left_right.hpp
@@ -0,0 +1,143 @@
+//==------- shift_left_right.hpp -*- C++ -*---------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helpers.hpp"
+#include <sycl/sycl.hpp>
+template <typename T, int N> class sycl_subgr;
+
+using namespace sycl;
+
+// TODO remove this workaround when clang will support correct generation of
+// half typename in integration header
+struct wa_half;
+
+// ---- check
+template <typename T, int N>
+void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<vec<T, N>> buf_right(G);
+    buffer<vec<T, N>> buf_left(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      accessor acc_right{buf_right, cgh, sycl::read_write};
+      accessor acc_left{buf_left, cgh, sycl::read_write};
+      accessor sgsizeacc{sgsizebuf, cgh, sycl::read_write};
+
+      cgh.parallel_for<sycl_subgr<T, N>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        uint32_t wggid = NdItem.get_global_id(0);
+        uint32_t sgid = SG.get_group_id().get(0);
+        vec<T, N> vwggid(wggid), vsgid(sgid);
+        if (wggid == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+
+        /* Save GID-SGID */
+        acc_right[NdItem.get_global_id()] = shift_group_right(SG, vwggid, sgid);
+        /* Save GID+SGID */
+        acc_left[NdItem.get_global_id()] = shift_group_left(SG, vwggid, sgid);
+      });
+    });
+    host_accessor acc_right{buf_right, sycl::read_write};
+    host_accessor acc_left{buf_left, sycl::read_write};
+    host_accessor sgsizeacc{sgsizebuf, sycl::read_write};
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+
+      /* Value GID+SGID for all element except last SGID in SG*/
+      if (j % L % sg_size + SGid < sg_size && j % L + SGid < L) {
+        exit_if_not_equal_vec(acc_left[j], vec<T, N>(j + SGid % sg_size),
+                              "shift_group_left");
+      }
+      /* Value GID-SGID for all element except first SGID in SG*/
+      if (j % L % sg_size >= SGid) {
+        exit_if_not_equal_vec(acc_right[j], vec<T, N>(j - SGid % sg_size),
+                              "shift_group_right");
+      }
+
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+template <typename T> void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> buf_right(G);
+    buffer<T> buf_left(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      accessor acc_right{buf_right, cgh, sycl::read_write};
+      accessor acc_left{buf_left, cgh, sycl::read_write};
+      accessor sgsizeacc{sgsizebuf, cgh, sycl::read_write};
+      cgh.parallel_for<sycl_subgr<T, 0>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        uint32_t wggid = NdItem.get_global_id(0);
+        uint32_t sgid = SG.get_group_id().get(0);
+        if (wggid == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+
+        /* Save GID-SGID */
+        acc_right[NdItem.get_global_id()] = shift_group_right(SG, wggid, sgid);
+        /* Save GID+SGID */
+        acc_left[NdItem.get_global_id()] = shift_group_left(SG, wggid, sgid);
+      });
+    });
+    host_accessor acc_right{buf_right, sycl::read_write};
+    host_accessor acc_left{buf_left, sycl::read_write};
+    host_accessor sgsizeacc{sgsizebuf, sycl::read_write};
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+
+      /* Value GID+SGID for all element except last SGID in SG*/
+      if (j % L % sg_size + SGid < sg_size && j % L + SGid < L) {
+        exit_if_not_equal<T>(acc_left[j], j + SGid, "shift_group_left");
+      }
+      /* Value GID-SGID for all element except first SGID in SG*/
+      if (j % L % sg_size >= SGid) {
+        exit_if_not_equal<T>(acc_right[j], j - SGid, "shift_group_right");
+      }
+
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/sort.cpp b/sycl/test-e2e/GroupAlgorithm/SYCL2020/sort.cpp
new file mode 100644
index 0000000000000..8d823afeffa77
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/sort.cpp
@@ -0,0 +1,461 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// The test verifies sort API extension.
+// Currently it checks the following combinations:
+// For number of elements {18, 64}
+//   For types {int, char, half, double, Custom}
+//     For initial elements values {reversed, random}
+//       For comparators {std::less, std::greater}
+//         For dimensions {1, 2}
+//           For group {work-group, sub-group}
+//             For sorters {default_sorter, radix_sorter}
+//               joint_sort with
+//                   WG size = {16} or {1, 16}
+//                   SG size = {8}
+//                   elements per WI = 2
+//               sort_over_group with
+//                   WG size = {number_of_elements} or {1, number_of_elements}
+//                   SG size = 8
+//                   elements per WI = 1
+//
+// TODO: Test global memory for temporary storage
+// TODO: Consider using USM instead of buffers
+// TODO: Add support for sorting over workgroup for CUDA and HIP BE
+
+#include <sycl/sycl.hpp>
+
+#include <algorithm>
+#include <iostream>
+#include <numeric>
+#include <random>
+#include <vector>
+
+namespace oneapi_exp = sycl::ext::oneapi::experimental;
+
+template <typename...> class KernelNameOverGroup;
+template <typename...> class KernelNameJoint;
+
+enum class UseGroupT { SubGroup = true, WorkGroup = false };
+
+// these classes are needed to pass non-type template parameters to KernelName
+template <int> class IntWrapper;
+template <UseGroupT> class UseGroupWrapper;
+
+class CustomType {
+public:
+  CustomType(size_t Val) : MVal(Val) {}
+  CustomType() : MVal(0) {}
+
+  bool operator<(const CustomType &RHS) const { return MVal < RHS.MVal; }
+  bool operator>(const CustomType &RHS) const { return MVal > RHS.MVal; }
+  bool operator==(const CustomType &RHS) const { return MVal == RHS.MVal; }
+
+private:
+  size_t MVal = 0;
+};
+
+template <class CompT, class T> struct RadixSorterType;
+
+template <class T> struct RadixSorterType<std::greater<T>, T> {
+  using Type =
+      oneapi_exp::radix_sorter<T, oneapi_exp::sorting_order::descending>;
+};
+
+template <class T> struct RadixSorterType<std::less<T>, T> {
+  using Type =
+      oneapi_exp::radix_sorter<T, oneapi_exp::sorting_order::ascending>;
+};
+
+// Dummy overloads for CustomType which is not supported by radix sorter
+template <> struct RadixSorterType<std::less<CustomType>, CustomType> {
+  using Type =
+      oneapi_exp::radix_sorter<int, oneapi_exp::sorting_order::ascending>;
+};
+
+template <> struct RadixSorterType<std::greater<CustomType>, CustomType> {
+  using Type =
+      oneapi_exp::radix_sorter<int, oneapi_exp::sorting_order::descending>;
+};
+
+constexpr size_t ReqSubGroupSize = 8;
+
+template <UseGroupT UseGroup, int Dims, class T, class Compare>
+void RunJointSort(sycl::queue &Q, const std::vector<T> &DataToSort,
+                  const Compare &Comp) {
+
+  constexpr size_t WGSize = 16;
+  constexpr size_t ElemsPerWI = 2;
+  const size_t NumOfElements = DataToSort.size();
+  const size_t NumWGs = ((NumOfElements - 1) / WGSize * ElemsPerWI) + 1;
+
+  constexpr size_t NumSubGroups = WGSize / ReqSubGroupSize;
+
+  using RadixSorterT = typename RadixSorterType<Compare, T>::Type;
+
+  std::size_t LocalMemorySizeDefault = 0;
+  std::size_t LocalMemorySizeRadix = 0;
+  if (UseGroup == UseGroupT::SubGroup) {
+    // Each sub-group needs a piece of memory for sorting
+    LocalMemorySizeDefault =
+        oneapi_exp::default_sorter<Compare>::template memory_required<T>(
+            sycl::memory_scope::sub_group, ReqSubGroupSize * ElemsPerWI);
+    LocalMemorySizeRadix = RadixSorterT::memory_required(
+        sycl::memory_scope::sub_group, ReqSubGroupSize * ElemsPerWI);
+  } else {
+    // A single chunk of memory for each work-group
+    LocalMemorySizeDefault =
+        oneapi_exp::default_sorter<Compare>::template memory_required<T>(
+            sycl::memory_scope::work_group, WGSize * ElemsPerWI);
+    LocalMemorySizeRadix = RadixSorterT::memory_required(
+        sycl::memory_scope::sub_group, WGSize * ElemsPerWI);
+  }
+
+  const sycl::nd_range<Dims> NDRange = [&]() {
+    if constexpr (Dims == 1)
+      return sycl::nd_range<1>{{WGSize * NumWGs}, {WGSize}};
+    else
+      return sycl::nd_range<2>{{1, WGSize * NumWGs}, {1, WGSize}};
+    static_assert(Dims < 3,
+                  "Only one and two dimensional kernels are supported");
+  }();
+
+  std::vector<T> DataToSortCase0 = DataToSort;
+  std::vector<T> DataToSortCase1 = DataToSort;
+  std::vector<T> DataToSortCase2 = DataToSort;
+  std::vector<T> DataToSortCase3 = DataToSort;
+
+  // Sort data using 3 different versions of joint_sort API
+  {
+    sycl::buffer<T> BufToSort0(DataToSortCase0.data(), DataToSortCase0.size());
+    sycl::buffer<T> BufToSort1(DataToSortCase1.data(), DataToSortCase1.size());
+    sycl::buffer<T> BufToSort2(DataToSortCase2.data(), DataToSortCase2.size());
+    sycl::buffer<T> BufToSort3(DataToSortCase3.data(), DataToSortCase3.size());
+
+    Q.submit([&](sycl::handler &CGH) {
+       auto AccToSort0 = sycl::accessor(BufToSort0, CGH);
+       auto AccToSort1 = sycl::accessor(BufToSort1, CGH);
+       auto AccToSort2 = sycl::accessor(BufToSort2, CGH);
+       auto AccToSort3 = sycl::accessor(BufToSort3, CGH);
+
+       // Allocate local memory for all sub-groups in a work-group
+       const size_t TotalLocalMemSizeDefault =
+           UseGroup == UseGroupT::SubGroup
+               ? LocalMemorySizeDefault * NumSubGroups
+               : LocalMemorySizeDefault;
+
+       const size_t TotalLocalMemSizeRadix =
+           UseGroup == UseGroupT::SubGroup ? LocalMemorySizeRadix * NumSubGroups
+                                           : LocalMemorySizeRadix;
+
+       sycl::local_accessor<std::byte, 1> ScratchDefault(
+           {TotalLocalMemSizeDefault}, CGH);
+
+       sycl::local_accessor<std::byte, 1> ScratchRadix({TotalLocalMemSizeRadix},
+                                                       CGH);
+
+       CGH.parallel_for<KernelNameJoint<IntWrapper<Dims>,
+                                        UseGroupWrapper<UseGroup>, T, Compare>>(
+           NDRange, [=](sycl::nd_item<Dims> ID) [[intel::reqd_sub_group_size(
+                        ReqSubGroupSize)]] {
+             auto Group = [&]() {
+               if constexpr (UseGroup == UseGroupT::SubGroup)
+                 return ID.get_sub_group();
+               else
+                 return ID.get_group();
+             }();
+
+             const size_t WGID = ID.get_group_linear_id();
+             const size_t ChunkSize =
+                 Group.get_max_local_range().size() * ElemsPerWI;
+             const size_t PartID = UseGroup == UseGroupT::SubGroup
+                                       ? WGID * Group.get_group_linear_range() +
+                                             Group.get_group_linear_id()
+                                       : WGID;
+             const size_t LocalPartID =
+                 UseGroup == UseGroupT::SubGroup
+                     ? LocalMemorySizeDefault * Group.get_group_linear_id()
+                     : 0;
+
+             const size_t StartIdx = ChunkSize * PartID;
+             const size_t EndIdx =
+                 std::min(ChunkSize * (PartID + 1), NumOfElements);
+
+             // This version of API always sorts in ascending order
+             if constexpr (std::is_same_v<Compare, std::less<T>>)
+               oneapi_exp::joint_sort(
+                   oneapi_exp::group_with_scratchpad(
+                       Group, sycl::span{&ScratchDefault[LocalPartID],
+                                         LocalMemorySizeDefault}),
+                   &AccToSort0[StartIdx], &AccToSort0[EndIdx]);
+
+             oneapi_exp::joint_sort(
+                 oneapi_exp::group_with_scratchpad(
+                     Group, sycl::span{&ScratchDefault[LocalPartID],
+                                       LocalMemorySizeDefault}),
+                 &AccToSort1[StartIdx], &AccToSort1[EndIdx], Comp);
+
+             oneapi_exp::joint_sort(
+                 Group, &AccToSort2[StartIdx], &AccToSort2[EndIdx],
+                 oneapi_exp::default_sorter<Compare>(sycl::span{
+                     &ScratchDefault[LocalPartID], LocalMemorySizeDefault}));
+
+             const size_t LocalPartIDRadix =
+                 UseGroup == UseGroupT::SubGroup
+                     ? LocalMemorySizeRadix * Group.get_group_linear_id()
+                     : 0;
+
+             // Radix doesn't support custom types
+             if constexpr (!std::is_same_v<CustomType, T>)
+               oneapi_exp::joint_sort(
+                   Group, &AccToSort3[StartIdx], &AccToSort3[EndIdx],
+                   RadixSorterT(sycl::span{&ScratchRadix[LocalPartIDRadix],
+                                           LocalMemorySizeRadix}));
+           });
+     }).wait_and_throw();
+  }
+
+  // Verification
+  {
+    // Emulate independent sorting of each work-group and/or sub-group
+    const size_t ChunkSize = UseGroup == UseGroupT::SubGroup
+                                 ? ReqSubGroupSize * ElemsPerWI
+                                 : WGSize * ElemsPerWI;
+    std::vector<T> DataSorted = DataToSort;
+    auto It = DataSorted.begin();
+    for (; (It + ChunkSize) < DataSorted.end(); It += ChunkSize)
+      std::sort(It, It + ChunkSize, Comp);
+
+    // Sort reminder
+    std::sort(It, DataSorted.end(), Comp);
+
+    // This version of API always sorts in ascending order
+    if constexpr (std::is_same_v<Compare, std::less<T>>)
+      assert(DataToSortCase0 == DataSorted);
+
+    assert(DataToSortCase1 == DataSorted);
+    assert(DataToSortCase2 == DataSorted);
+    // Radix doesn't support custom types
+    if constexpr (!std::is_same_v<CustomType, T>)
+      assert(DataToSortCase3 == DataSorted);
+  }
+}
+
+template <UseGroupT UseGroup, int Dims, class T, class Compare>
+void RunSortOVerGroup(sycl::queue &Q, const std::vector<T> &DataToSort,
+                      const Compare &Comp) {
+
+  const size_t NumOfElements = DataToSort.size();
+  const size_t NumSubGroups = NumOfElements / ReqSubGroupSize + 1;
+
+  const sycl::nd_range<Dims> NDRange = [&]() {
+    if constexpr (Dims == 1)
+      return sycl::nd_range<1>{{NumOfElements}, {NumOfElements}};
+    else
+      return sycl::nd_range<2>{{1, NumOfElements}, {1, NumOfElements}};
+    static_assert(Dims < 3,
+                  "Only one and two dimensional kernels are supported");
+  }();
+
+  using RadixSorterT = typename RadixSorterType<Compare, T>::Type;
+
+  std::size_t LocalMemorySizeDefault = 0;
+  std::size_t LocalMemorySizeRadix = 0;
+  if (UseGroup == UseGroupT::SubGroup) {
+    // Each sub-group needs a piece of memory for sorting
+    LocalMemorySizeDefault =
+        oneapi_exp::default_sorter<Compare>::template memory_required<T>(
+            sycl::memory_scope::sub_group, sycl::range<1>{ReqSubGroupSize});
+
+    LocalMemorySizeRadix = RadixSorterT::template memory_required(
+        sycl::memory_scope::sub_group, sycl::range<1>{ReqSubGroupSize});
+  } else {
+    // A single chunk of memory for each work-group
+    LocalMemorySizeDefault =
+        oneapi_exp::default_sorter<Compare>::template memory_required<T>(
+            sycl::memory_scope::work_group, sycl::range<1>{NumOfElements});
+
+    LocalMemorySizeRadix = RadixSorterT::template memory_required(
+        sycl::memory_scope::work_group, sycl::range<1>{NumOfElements});
+  }
+
+  std::vector<T> DataToSortCase0 = DataToSort;
+  std::vector<T> DataToSortCase1 = DataToSort;
+  std::vector<T> DataToSortCase2 = DataToSort;
+  std::vector<T> DataToSortCase3 = DataToSort;
+
+  // Sort data using 3 different versions of sort_over_group API
+  {
+    sycl::buffer<T> BufToSort0(DataToSortCase0.data(), DataToSortCase0.size());
+    sycl::buffer<T> BufToSort1(DataToSortCase1.data(), DataToSortCase1.size());
+    sycl::buffer<T> BufToSort2(DataToSortCase2.data(), DataToSortCase2.size());
+    sycl::buffer<T> BufToSort3(DataToSortCase3.data(), DataToSortCase3.size());
+
+    Q.submit([&](sycl::handler &CGH) {
+       auto AccToSort0 = sycl::accessor(BufToSort0, CGH);
+       auto AccToSort1 = sycl::accessor(BufToSort1, CGH);
+       auto AccToSort2 = sycl::accessor(BufToSort2, CGH);
+       auto AccToSort3 = sycl::accessor(BufToSort3, CGH);
+
+       // Allocate local memory for all sub-groups in a work-group
+       const size_t TotalLocalMemSizeDefault =
+           UseGroup == UseGroupT::SubGroup
+               ? LocalMemorySizeDefault * NumSubGroups
+               : LocalMemorySizeDefault;
+       sycl::local_accessor<std::byte, 1> ScratchDefault(
+           {TotalLocalMemSizeDefault}, CGH);
+
+       const size_t TotalLocalMemSizeRadix =
+           UseGroup == UseGroupT::SubGroup ? LocalMemorySizeRadix * NumSubGroups
+                                           : LocalMemorySizeRadix;
+
+       sycl::local_accessor<std::byte, 1> ScratchRadix({TotalLocalMemSizeRadix},
+                                                       CGH);
+
+       CGH.parallel_for<KernelNameOverGroup<
+           IntWrapper<Dims>, UseGroupWrapper<UseGroup>, T, Compare>>(
+           NDRange, [=](sycl::nd_item<Dims> id) [[intel::reqd_sub_group_size(
+                        ReqSubGroupSize)]] {
+             const size_t GlobalLinearID = id.get_global_linear_id();
+
+             auto Group = [&]() {
+               if constexpr (UseGroup == UseGroupT::SubGroup)
+                 return id.get_sub_group();
+               else
+                 return id.get_group();
+             }();
+
+             // Each sub-group should use it's own part of the scratch pad
+             const size_t ScratchShiftDefault =
+                 UseGroup == UseGroupT::SubGroup
+                     ? id.get_sub_group().get_group_linear_id() *
+                           LocalMemorySizeDefault
+                     : 0;
+             std::byte *ScratchPtrDefault =
+                 &ScratchDefault[0] + ScratchShiftDefault;
+
+             if constexpr (std::is_same_v<Compare, std::less<T>>)
+               AccToSort0[GlobalLinearID] = oneapi_exp::sort_over_group(
+                   oneapi_exp::group_with_scratchpad(
+                       Group,
+                       sycl::span{ScratchPtrDefault, LocalMemorySizeDefault}),
+                   AccToSort0[GlobalLinearID]);
+
+             AccToSort1[GlobalLinearID] = oneapi_exp::sort_over_group(
+                 oneapi_exp::group_with_scratchpad(
+                     Group,
+                     sycl::span{ScratchPtrDefault, LocalMemorySizeDefault}),
+                 AccToSort1[GlobalLinearID], Comp);
+
+             AccToSort2[GlobalLinearID] = oneapi_exp::sort_over_group(
+                 Group, AccToSort2[GlobalLinearID],
+                 oneapi_exp::default_sorter<Compare>(
+                     sycl::span{ScratchPtrDefault, LocalMemorySizeDefault}));
+
+             // Each sub-group should use it's own part of the scratch pad
+             const size_t ScratchShiftRadix =
+                 UseGroup == UseGroupT::SubGroup
+                     ? id.get_sub_group().get_group_linear_id() *
+                           LocalMemorySizeRadix
+                     : 0;
+             std::byte *ScratchPtrRadix = &ScratchRadix[0] + ScratchShiftRadix;
+
+             // Radix doesn't support custom types
+             if constexpr (!std::is_same_v<CustomType, T>)
+               AccToSort3[GlobalLinearID] = oneapi_exp::sort_over_group(
+                   Group, AccToSort3[GlobalLinearID],
+                   RadixSorterT(
+                       sycl::span{ScratchPtrRadix, LocalMemorySizeRadix}));
+           });
+     }).wait_and_throw();
+  }
+
+  // Verification
+  {
+    // Emulate independent sorting of each work-group/sub-group
+    const size_t ChunkSize = UseGroup == UseGroupT::SubGroup
+                                 ? ReqSubGroupSize
+                                 : NDRange.get_local_range().size();
+    std::vector<T> DataSorted = DataToSort;
+    auto It = DataSorted.begin();
+    for (; (It + ChunkSize) < DataSorted.end(); It += ChunkSize)
+      std::sort(It, It + ChunkSize, Comp);
+
+    // Sort reminder
+    std::sort(It, DataSorted.end(), Comp);
+
+    if constexpr (std::is_same_v<Compare, std::less<T>>)
+      assert(DataToSortCase0 == DataSorted);
+
+    assert(DataToSortCase1 == DataSorted);
+    assert(DataToSortCase2 == DataSorted);
+    // Radix doesn't support custom types
+    if constexpr (!std::is_same_v<CustomType, T>)
+      assert(DataToSortCase3 == DataSorted);
+  }
+}
+
+template <class T> void RunOverType(sycl::queue &Q, size_t DataSize) {
+  std::vector<T> DataReversed(DataSize);
+  std::vector<T> DataRandom(DataSize);
+
+  std::iota(DataReversed.rbegin(), DataReversed.rend(), (size_t)0);
+
+  // Fill using random numbers
+  {
+    std::default_random_engine generator;
+    std::normal_distribution<float> distribution((10.0), (2.0));
+    for (T &Elem : DataRandom)
+      Elem = T(distribution(generator));
+  }
+
+  auto RunOnDataAndComp = [&](const std::vector<T> &Data,
+                              const auto &Comparator) {
+    RunSortOVerGroup<UseGroupT::WorkGroup, 1>(Q, Data, Comparator);
+    RunSortOVerGroup<UseGroupT::WorkGroup, 2>(Q, Data, Comparator);
+
+    RunJointSort<UseGroupT::WorkGroup, 1>(Q, Data, Comparator);
+    RunJointSort<UseGroupT::WorkGroup, 2>(Q, Data, Comparator);
+
+    if (Q.get_backend() == sycl::backend::ext_oneapi_cuda ||
+        Q.get_backend() == sycl::backend::ext_oneapi_hip) {
+      std::cout << "Note! Skipping sub group testing on CUDA BE" << std::endl;
+      return;
+    }
+
+    RunSortOVerGroup<UseGroupT::SubGroup, 1>(Q, Data, Comparator);
+    RunSortOVerGroup<UseGroupT::SubGroup, 2>(Q, Data, Comparator);
+
+    RunJointSort<UseGroupT::SubGroup, 1>(Q, Data, Comparator);
+    RunJointSort<UseGroupT::SubGroup, 2>(Q, Data, Comparator);
+  };
+
+  RunOnDataAndComp(DataReversed, std::greater<T>{});
+  RunOnDataAndComp(DataReversed, std::less<T>{});
+  RunOnDataAndComp(DataRandom, std::less<T>{});
+  RunOnDataAndComp(DataRandom, std::greater<T>{});
+}
+
+int main() {
+  try {
+    sycl::queue Q;
+
+    std::vector<size_t> Sizes{18, 64};
+
+    for (size_t Size : Sizes) {
+      RunOverType<std::int32_t>(Q, Size);
+      RunOverType<char>(Q, Size);
+      if (Q.get_device().has(sycl::aspect::fp16))
+        RunOverType<sycl::half>(Q, Size);
+      if (Q.get_device().has(sycl::aspect::fp64))
+        RunOverType<double>(Q, Size);
+      RunOverType<CustomType>(Q, Size);
+    }
+
+    std::cout << "Test passed." << std::endl;
+  } catch (std::exception &E) {
+    std::cout << "Test failed" << std::endl;
+    std::cout << E.what() << std::endl;
+  }
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/SYCL2020/support.h b/sycl/test-e2e/GroupAlgorithm/SYCL2020/support.h
new file mode 100644
index 0000000000000..9a37708eb69fd
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/SYCL2020/support.h
@@ -0,0 +1,23 @@
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+bool isSupportedDevice(device D) {
+  std::string PlatformName = D.get_platform().get_info<info::platform::name>();
+  if (PlatformName.find("CUDA") != std::string::npos)
+    return true;
+
+  if (PlatformName.find("Level-Zero") != std::string::npos)
+    return true;
+
+  if (PlatformName.find("OpenCL") != std::string::npos) {
+    std::string Version = D.get_info<info::device::version>();
+    size_t Offset = Version.find("OpenCL");
+    if (Offset == std::string::npos)
+      return false;
+    Version = Version.substr(Offset + 7, 3);
+    if (Version >= std::string("2.0"))
+      return true;
+  }
+
+  return false;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/all_of.cpp b/sycl/test-e2e/GroupAlgorithm/all_of.cpp
new file mode 100644
index 0000000000000..e7d73814a17d2
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/all_of.cpp
@@ -0,0 +1,73 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <class Predicate> class all_of_kernel;
+
+struct GeZero {
+  bool operator()(int i) const { return i >= 0; }
+};
+struct IsEven {
+  bool operator()(int i) const { return (i % 2) == 0; }
+};
+struct LtZero {
+  bool operator()(int i) const { return i < 0; }
+};
+
+template <typename InputContainer, typename OutputContainer, class Predicate>
+void test(queue q, InputContainer input, OutputContainer output,
+          Predicate pred) {
+  typedef class all_of_kernel<Predicate> kernel_name;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<int> in_buf(input.data(), input.size());
+    buffer<bool> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.get_access<access::mode::read>(cgh);
+      auto out = out_buf.get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[0] = all_of(g, pred(in[lid]));
+        out[1] = all_of(g, in[lid], pred);
+        out[2] = all_of(g, in.get_pointer(), in.get_pointer() + N, pred);
+      });
+    });
+  }
+  bool expected = std::all_of(input.begin(), input.end(), pred);
+  assert(output[0] == expected);
+  assert(output[1] == expected);
+  assert(output[2] == expected);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<bool, 3> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), false);
+
+  test(q, input, output, GeZero());
+  test(q, input, output, IsEven());
+  test(q, input, output, LtZero());
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/any_of.cpp b/sycl/test-e2e/GroupAlgorithm/any_of.cpp
new file mode 100644
index 0000000000000..a847f92bad48c
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/any_of.cpp
@@ -0,0 +1,75 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <class Predicate> class any_of_kernel;
+
+struct GeZero {
+  bool operator()(int i) const { return i >= 0; }
+};
+struct IsEven {
+  bool operator()(int i) const { return (i % 2) == 0; }
+};
+struct LtZero {
+  bool operator()(int i) const { return i < 0; }
+};
+
+template <typename InputContainer, typename OutputContainer, class Predicate>
+void test(queue q, InputContainer input, OutputContainer output,
+          Predicate pred) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class any_of_kernel<Predicate> kernel_name;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[0] = any_of(g, pred(in[lid]));
+        out[1] = any_of(g, in[lid], pred);
+        out[2] = any_of(g, in.get_pointer(), in.get_pointer() + N, pred);
+      });
+    });
+  }
+  bool expected = std::any_of(input.begin(), input.end(), pred);
+  assert(output[0] == expected);
+  assert(output[1] == expected);
+  assert(output[2] == expected);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<bool, 3> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), false);
+
+  test(q, input, output, GeZero());
+  test(q, input, output, IsEven());
+  test(q, input, output, LtZero());
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/back_to_back_collectives.cpp b/sycl/test-e2e/GroupAlgorithm/back_to_back_collectives.cpp
new file mode 100644
index 0000000000000..cf3a35a4fccdd
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/back_to_back_collectives.cpp
@@ -0,0 +1,67 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+class back_to_back;
+
+int main() {
+  queue q;
+
+  // Use max work-group size to maximize chance of race
+  auto KernelID = get_kernel_id<back_to_back>();
+  auto KB =
+      get_kernel_bundle<bundle_state::executable>(q.get_context(), {KernelID});
+  kernel k = KB.get_kernel(KernelID);
+  device d = q.get_device();
+  int N = k.get_info<sycl::info::kernel_device_specific::work_group_size>(d);
+
+  std::vector<int> Input(N), Sum(N), EScan(N), IScan(N);
+  std::iota(Input.begin(), Input.end(), 0);
+  std::fill(Sum.begin(), Sum.end(), 0);
+  std::fill(EScan.begin(), EScan.end(), 0);
+  std::fill(IScan.begin(), IScan.end(), 0);
+
+  {
+    buffer<int> InputBuf(Input.data(), N);
+    buffer<int> SumBuf(Sum.data(), N);
+    buffer<int> EScanBuf(EScan.data(), N);
+    buffer<int> IScanBuf(IScan.data(), N);
+    q.submit([&](handler &h) {
+      auto Input = InputBuf.get_access<access::mode::read>(h);
+      auto Sum = SumBuf.get_access<access::mode::write>(h);
+      auto EScan = EScanBuf.get_access<access::mode::write>(h);
+      auto IScan = IScanBuf.get_access<access::mode::write>(h);
+      h.parallel_for<back_to_back>(nd_range<1>(N, N), [=](nd_item<1> it) {
+        size_t i = it.get_global_id(0);
+        auto g = it.get_group();
+        // Loop to increase number of back-to-back calls
+        for (int r = 0; r < 10; ++r) {
+          Sum[i] = reduce(g, Input[i], sycl::plus<>());
+          EScan[i] = exclusive_scan(g, Input[i], sycl::plus<>());
+          IScan[i] = inclusive_scan(g, Input[i], sycl::plus<>());
+        }
+      });
+    });
+  }
+
+  int sum = 0;
+  bool passed = true;
+  for (int i = 0; i < N; ++i) {
+    passed &= (sum == EScan[i]);
+    sum += i;
+    passed &= (sum == IScan[i]);
+  }
+  for (int i = 0; i < N; ++i) {
+    passed &= (sum == Sum[i]);
+  }
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/barrier.cpp b/sycl/test-e2e/GroupAlgorithm/barrier.cpp
new file mode 100644
index 0000000000000..32bda789cc097
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/barrier.cpp
@@ -0,0 +1,157 @@
+// Temporarily disabled due to regressions introduced by
+// https://github.com/intel/llvm/pull/8412.
+// REQUIRES: TEMPORARY_DISABLED
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_80
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// REQUIRES: cuda
+
+#include "CL/sycl.hpp"
+#include <iostream>
+#include <vector>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::cuda;
+
+void basic() {
+  queue q{};
+  int N = 64;
+  std::vector<int> data(N);
+  for (int i = 0; i < N; i++) {
+    data[i] = i;
+  }
+  {
+    buffer<int> buf(data.data(), N);
+
+    q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+      local_accessor<int, 1> loc(N, cgh);
+      local_accessor<barrier, 1> loc_barrier(2, cgh);
+      cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> item) {
+        size_t idx = item.get_local_linear_id();
+        loc[idx] = acc[idx];
+        if (idx < 2) {
+          loc_barrier[idx].initialize(N);
+        }
+        item.barrier(access::fence_space::local_space);
+        for (int i = 0; i < N; i++) {
+          int val = loc[idx];
+          barrier::arrival_token arr = loc_barrier[0].arrive();
+          val += 1;
+          int dst_idx = (idx + 1) % N;
+          loc_barrier[0].wait(arr);
+          loc[dst_idx] = val;
+          loc_barrier[1].wait(loc_barrier[1].arrive());
+        }
+        acc[idx] = loc[idx];
+      });
+    });
+  }
+  for (int i = 0; i < N; i++) {
+    assert(data[i] == i + N);
+  }
+}
+
+void interface() {
+  queue q{};
+  int N = 64;
+  std::vector<int> data(N, -1);
+  std::vector<int> test1(N, -1);
+  std::vector<int> test2(N, -1);
+  for (int i = 0; i < N; i++) {
+    data[i] = i;
+  }
+  {
+    buffer<int> data_buf(data.data(), N);
+    buffer<int> test1_buf(test1.data(), N);
+    buffer<int> test2_buf(test2.data(), N);
+
+    q.submit([&](handler &cgh) {
+      auto data_acc = data_buf.get_access<access::mode::read_write>(cgh);
+      auto test1_acc = test1_buf.get_access<access::mode::read_write>(cgh);
+      auto test2_acc = test2_buf.get_access<access::mode::read_write>(cgh);
+      local_accessor<int, 1> loc(N, cgh);
+      local_accessor<barrier, 1> loc_barrier(2, cgh);
+      cgh.parallel_for(nd_range<1>(N, N), [=](nd_item<1> item) {
+        size_t idx = item.get_local_linear_id();
+        if (idx == 0) {
+          loc_barrier[0].initialize(N);
+        }
+        if (idx == 1) {
+          loc_barrier[1].initialize(N * N);
+        }
+        item.barrier(access::fence_space::local_space);
+
+        item.async_work_group_copy(loc.get_pointer(), data_acc.get_pointer(),
+                                   N);
+        loc_barrier[1].arrive_copy_async();
+        barrier::arrival_token arr = loc_barrier[1].arrive_no_complete(N - 1);
+        loc_barrier[1].arrive_and_wait();
+
+        if (idx == 0) {
+          loc_barrier[0].invalidate();
+          int *reused_barrier_space = (int *)(void *)loc_barrier.get_pointer();
+          *reused_barrier_space = loc[0];
+          loc[0] = 0;
+        }
+        item.barrier(access::fence_space::local_space);
+        if (idx == 1) {
+          int *reused_barrier_space = (int *)(void *)loc_barrier.get_pointer();
+          loc[0] = *reused_barrier_space;
+        }
+        item.barrier(access::fence_space::local_space);
+        if (idx == 0) {
+          loc_barrier[0].initialize(N);
+        }
+
+        int val = loc[idx];
+        arr = loc_barrier[0].arrive();
+        val = (val + 1) % N;
+        int dst_idx = (idx + 1) % N;
+        loc_barrier[0].wait(arr);
+        loc[dst_idx] = val;
+        loc_barrier[0].wait(loc_barrier[0].arrive());
+
+        item.async_work_group_copy(data_acc.get_pointer(), loc.get_pointer(),
+                                   N);
+        loc_barrier[1].arrive_copy_async_no_inc();
+        loc_barrier[1].arrive_no_complete(N - 3);
+        arr = loc_barrier[1].arrive();
+        test1_acc[idx] = loc_barrier[1].test_wait(arr);
+        arr = loc_barrier[1].arrive();
+        item.barrier(access::fence_space::local_space);
+        test2_acc[idx] = loc_barrier[1].test_wait(arr);
+        loc_barrier[1].wait(arr);
+
+        loc_barrier[1].arrive_no_complete(N - 6);
+        loc_barrier[1].arrive_and_drop_no_complete(5);
+        arr = loc_barrier[1].arrive_and_drop();
+        loc_barrier[1].wait(arr);
+
+        for (int i = 0; i < N - 6; i++) {
+          arr = loc_barrier[1].arrive();
+        }
+        loc_barrier[1].wait(arr);
+      });
+    });
+  }
+  for (int i = 0; i < N; i++) {
+    assert(data[i] == i);
+    assert(test1[i] == 0);
+    assert(test2[i] == 1);
+  }
+}
+
+int main() {
+  queue q;
+  if (!q.get_device().has(aspect::ext_oneapi_cuda_async_barrier)) {
+    std::cout << "Barrier is not supported by the device. Skipping test."
+              << std::endl;
+    return 0;
+  }
+  basic();
+  interface();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/broadcast.cpp b/sycl/test-e2e/GroupAlgorithm/broadcast.cpp
new file mode 100644
index 0000000000000..a929bd2f4f3f0
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/broadcast.cpp
@@ -0,0 +1,98 @@
+// RUN: %clangxx -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <complex>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <typename kernel_name, typename InputContainer,
+          typename OutputContainer>
+void test(queue q, InputContainer input, OutputContainer output) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  size_t N = input.size();
+  size_t G = 4;
+  range<2> R(G, G);
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name>(nd_range<2>(R, R), [=](nd_item<2> it) {
+        group<2> g = it.get_group();
+        int lid = it.get_local_linear_id();
+        out[0] = broadcast(g, in[lid]);
+        out[1] = broadcast(g, in[lid], group<2>::id_type(1, 2));
+        out[2] = broadcast(g, in[lid], group<2>::linear_id_type(2 * G + 1));
+      });
+    });
+  }
+  assert(output[0] == input[0]);
+  assert(output[1] == input[1 * G + 2]);
+  assert(output[2] == input[2 * G + 1]);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 16;
+
+  // Test built-in scalar type
+  {
+    std::array<int, N> input;
+    std::array<int, 3> output;
+    std::iota(input.begin(), input.end(), 1);
+    std::fill(output.begin(), output.end(), false);
+    test<class KernelName_EFL>(q, input, output);
+  }
+
+  // Test pointer type
+  {
+    std::array<int *, N> input;
+    std::array<int *, 3> output;
+    for (int i = 0; i < N; ++i) {
+      input[i] = static_cast<int *>(0x0) + i;
+    }
+    std::fill(output.begin(), output.end(), static_cast<int *>(0x0));
+    test<class KernelName_NrqELzFQToOSPsRNMi>(q, input, output);
+  }
+
+  // Test user-defined type
+  // - Use complex as a proxy for this
+  // - Test float and double to test 64-bit and 128-bit types
+  {
+    std::array<std::complex<float>, N> input;
+    std::array<std::complex<float>, 3> output;
+    for (int i = 0; i < N; ++i) {
+      input[i] =
+          std::complex<float>(0, 1) + (float)i * std::complex<float>(2, 2);
+    }
+    std::fill(output.begin(), output.end(), std::complex<float>(0, 0));
+    test<class KernelName_rCblcml>(q, input, output);
+  }
+  if (q.get_device().has(sycl::aspect::fp64)) {
+    std::array<std::complex<double>, N> input;
+    std::array<std::complex<double>, 3> output;
+    for (int i = 0; i < N; ++i) {
+      input[i] =
+          std::complex<double>(0, 1) + (double)i * std::complex<double>(2, 2);
+    }
+    std::fill(output.begin(), output.end(), std::complex<float>(0, 0));
+    test<class KernelName_NCWhjnQ>(q, input, output);
+  }
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/exclusive_scan.cpp b/sycl/test-e2e/GroupAlgorithm/exclusive_scan.cpp
new file mode 100644
index 0000000000000..729f1318eb6a8
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/exclusive_scan.cpp
@@ -0,0 +1,159 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// disabling hip because some of the binary_ops tested are not supported
+// getting undefined symbols for a handful of __spirv__ * functions.
+// XFAIL: hip
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <class SpecializationKernelName, int TestNumber>
+class exclusive_scan_kernel;
+
+// std::exclusive_scan isn't implemented yet, so use serial implementation
+// instead
+namespace emu {
+template <typename InputIterator, typename OutputIterator,
+          class BinaryOperation, typename T>
+OutputIterator exclusive_scan(InputIterator first, InputIterator last,
+                              OutputIterator result, T init,
+                              BinaryOperation binary_op) {
+  T partial = init;
+  for (InputIterator it = first; it != last; ++it) {
+    *(result++) = partial;
+    partial = binary_op(partial, *it);
+  }
+  return result;
+}
+} // namespace emu
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 0> kernel_name0;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 1> kernel_name1;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 2> kernel_name2;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 3> kernel_name3;
+  OutputT init = 42;
+  size_t N = input.size();
+  size_t G = 64;
+  std::vector<OutputT> expected(N);
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name0>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = exclusive_scan(g, in[lid], binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + G, expected.begin(),
+                      identity, binary_op);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name1>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = exclusive_scan(g, in[lid], init, binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + G, expected.begin(), init,
+                      binary_op);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name2>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        exclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                       out.get_pointer(), binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      identity, binary_op);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name3>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        exclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                       out.get_pointer(), init, binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + N, expected.begin(), init,
+                      binary_op);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, N> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, ext::oneapi::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, ext::oneapi::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, ext::oneapi::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, ext::oneapi::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, ext::oneapi::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, ext::oneapi::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelName_VzAPutpBRRJrQPB>(q, input, output,
+                                         ext::oneapi::multiplies<int>(), 1);
+  test<class KernelName_UXdGbr>(q, input, output, ext::oneapi::bit_or<int>(),
+                                0);
+  test<class KernelName_saYaodNyJknrPW>(q, input, output,
+                                        ext::oneapi::bit_xor<int>(), 0);
+  test<class KernelName_GPcuAlvAOjrDyP>(q, input, output,
+                                        ext::oneapi::bit_and<int>(), ~0);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/exclusive_scan_over_group.cpp b/sycl/test-e2e/GroupAlgorithm/exclusive_scan_over_group.cpp
new file mode 100644
index 0000000000000..25f4ad75cd3fb
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/exclusive_scan_over_group.cpp
@@ -0,0 +1,59 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// CPU and ACC not yet supported:
+// Unsupported SPIR-V module SPIRV module requires unsupported capability 6400
+
+#include <algorithm>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+template <typename T>
+sycl::event compiler_group_scan_impl(sycl::queue *queue, T *in_data,
+                                     T *out_data, int num_wg, int group_size) {
+  sycl::nd_range<1> thread_range(num_wg * group_size, group_size);
+  sycl::event event = queue->submit([&](sycl::handler &cgh) {
+    cgh.parallel_for(thread_range, [=](sycl::nd_item<1> item) {
+      auto id = item.get_global_linear_id();
+      auto group = item.get_group();
+      T data = in_data[id];
+
+      T updated_data =
+          sycl::exclusive_scan_over_group(group, data, sycl::multiplies<T>());
+      out_data[id] = updated_data;
+    });
+  });
+  return event;
+}
+
+template <typename T>
+void test_compiler_group_scan(sycl::queue *queue, T *in_data, T *out_data,
+                              int num_wg, int group_size) {
+  compiler_group_scan_impl(queue, in_data, out_data, num_wg, group_size);
+}
+
+int main(int argc, const char **argv) {
+  int num_wg = 1;
+  int group_size = 16;
+
+  sycl::queue queue;
+
+  typedef int T;
+  size_t nelems = num_wg * group_size;
+  T *data = sycl::malloc_shared<T>(nelems, queue);
+  T *result = sycl::malloc_shared<T>(nelems, queue);
+  queue.fill<T>(data, T(2), nelems).wait();
+  queue.memset(result, 0, nelems * sizeof(T)).wait();
+
+  test_compiler_group_scan(&queue, data, result, num_wg, group_size);
+  queue.wait();
+  T expected[] = {1,   2,   4,    8,    16,   32,   64,    128,
+                  256, 512, 1024, 2048, 4096, 8192, 16384, 32768};
+  for (int i = 0; i < sizeof(expected) / sizeof(T); ++i) {
+    assert(result[i] == expected[i]);
+  }
+  sycl::free(data, queue);
+  sycl::free(result, queue);
+  return 0;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/exclusive_scan_sycl2020.cpp b/sycl/test-e2e/GroupAlgorithm/exclusive_scan_sycl2020.cpp
new file mode 100644
index 0000000000000..4c6881df51856
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/exclusive_scan_sycl2020.cpp
@@ -0,0 +1,219 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+
+template <class SpecializationKernelName, int TestNumber>
+class exclusive_scan_kernel;
+
+// std::exclusive_scan isn't implemented yet, so use serial implementation
+// instead
+// TODO: use std::exclusive_scan when it will be supported
+namespace emu {
+template <typename InputIterator, typename OutputIterator,
+          class BinaryOperation, typename T>
+OutputIterator exclusive_scan(InputIterator first, InputIterator last,
+                              OutputIterator result, T init,
+                              BinaryOperation binary_op) {
+  T partial = init;
+  for (InputIterator it = first; it != last; ++it) {
+    *(result++) = partial;
+    partial = binary_op(partial, *it);
+  }
+  return result;
+}
+} // namespace emu
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 0> kernel_name0;
+  constexpr size_t G = 64;
+  constexpr size_t N = input.size(); // 128 or 12
+  constexpr size_t confirmRange = std::min(G, N);
+  std::vector<OutputT> expected(N);
+
+  // checking
+  // template <typename Group, typename T, typename BinaryOperation>
+  // T exclusive_scan_over_group(Group g, T x, BinaryOperation binary_op)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name0>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = exclusive_scan_over_group(g, in[lid], binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + confirmRange,
+                      expected.begin(), identity, binary_op);
+  assert(std::equal(output.begin(), output.begin() + confirmRange,
+                    expected.begin()));
+
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 1> kernel_name1;
+  constexpr OutputT init = 42;
+
+  // checking
+  // template <typename Group, typename V, typename T, class BinaryOperation>
+  // T exclusive_scan_over_group(Group g, V x, T init, BinaryOperation
+  // binary_op)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name1>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = exclusive_scan_over_group(g, in[lid], init, binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + confirmRange,
+                      expected.begin(), init, binary_op);
+  assert(std::equal(output.begin(), output.begin() + confirmRange,
+                    expected.begin()));
+
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 2> kernel_name2;
+
+  // checking
+  // template <typename Group, typename InPtr, typename OutPtr,
+  //           class BinaryOperation>
+  // OutPtr joint_exclusive_scan(Group g, InPtr first, InPtr last, OutPtr
+  // result,
+  //                  BinaryOperation binary_op)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name2>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_exclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      identity, binary_op);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+
+  typedef class exclusive_scan_kernel<SpecializationKernelName, 3> kernel_name3;
+
+  // checking
+  // template <typename Group, typename InPtr, typename OutPtr, typename T,
+  //      class BinaryOperation>
+  // OutPtr joint_exclusive_scan(Group g, InPtr first, InPtr last, OutPtr
+  // result, T init,
+  //                  BinaryOperation binary_op)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name3>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_exclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), init, binary_op);
+      });
+    });
+  }
+  emu::exclusive_scan(input.begin(), input.begin() + N, expected.begin(), init,
+                      binary_op);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, N> output;
+  std::iota(input.begin(), input.end(), 2);
+  std::fill(output.begin(), output.end(), 0);
+
+  // Smaller size as the multiplication test
+  // will result in computing of a factorial
+  // 12! fits in a 32 bits integer.
+  constexpr int M = 12;
+  std::array<int, M> input_small;
+  std::array<int, M> output_small;
+  std::iota(input_small.begin(), input_small.end(), 1);
+  std::fill(output_small.begin(), output_small.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, sycl::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, sycl::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, sycl::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, sycl::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, sycl::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, sycl::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelNameMultipliesI>(q, input_small, output_small,
+                                    sycl::multiplies<int>(), 1);
+  test<class KernelNameBitOrI>(q, input, output, sycl::bit_or<int>(), 0);
+  test<class KernelNameBitXorI>(q, input, output, sycl::bit_xor<int>(), 0);
+  test<class KernelNameBitAndI>(q, input_small, output_small,
+                                sycl::bit_and<int>(), ~0);
+
+  // as part of SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS (
+  // https://github.com/intel/llvm/pull/5108/ ) joint_exclusive_scan and
+  // exclusive_scan_over_group now operate on std::complex but limited to the
+  // sycl::plus binary operation.
+#ifdef SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS
+  std::array<std::complex<float>, N> input_cf;
+  std::array<std::complex<float>, N> output_cf;
+  std::iota(input_cf.begin(), input_cf.end(), 0);
+  std::fill(output_cf.begin(), output_cf.end(), 0);
+  test<class KernelNamePlusComplexF>(q, input_cf, output_cf,
+                                     sycl::plus<std::complex<float>>(), 0);
+  test<class KernelNamePlusUnspecF>(q, input_cf, output_cf, sycl::plus<>(), 0);
+
+  if (q.get_device().has(aspect::fp64)) {
+    std::array<std::complex<double>, N> input_cd;
+    std::array<std::complex<double>, N> output_cd;
+    std::iota(input_cd.begin(), input_cd.end(), 0);
+    std::fill(output_cd.begin(), output_cd.end(), 0);
+    test<class KernelNamePlusComplexD>(q, input_cd, output_cd,
+                                       sycl::plus<std::complex<double>>(), 0);
+    test<class KernelNamePlusUnspecD>(q, input_cd, output_cd, sycl::plus<>(),
+                                      0);
+  } else {
+    std::cout << "aspect::fp64 not supported. skipping std::complex<double>"
+              << std::endl;
+  }
+#else
+  static_assert(false, "SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS not defined");
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/inclusive_scan.cpp b/sycl/test-e2e/GroupAlgorithm/inclusive_scan.cpp
new file mode 100644
index 0000000000000..9e90f51134dc5
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/inclusive_scan.cpp
@@ -0,0 +1,159 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// disabling hip because some of the binary_ops tested are not supported
+// getting undefined symbols for a handful of __spirv__ * functions.
+// XFAIL: hip
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <class SpecializationKernelName, int TestNumber>
+class inclusive_scan_kernel;
+
+// std::inclusive_scan isn't implemented yet, so use serial implementation
+// instead
+namespace emu {
+template <typename InputIterator, typename OutputIterator,
+          class BinaryOperation, typename T>
+OutputIterator inclusive_scan(InputIterator first, InputIterator last,
+                              OutputIterator result, BinaryOperation binary_op,
+                              T init) {
+  T partial = init;
+  for (InputIterator it = first; it != last; ++it) {
+    partial = binary_op(partial, *it);
+    *(result++) = partial;
+  }
+  return result;
+}
+} // namespace emu
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 0> kernel_name0;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 1> kernel_name1;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 2> kernel_name2;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 3> kernel_name3;
+  OutputT init = 42;
+  size_t N = input.size();
+  size_t G = 64;
+  std::vector<OutputT> expected(N);
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name0>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = inclusive_scan(g, in[lid], binary_op);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + G, expected.begin(),
+                      binary_op, identity);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name1>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = inclusive_scan(g, in[lid], binary_op, init);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + G, expected.begin(),
+                      binary_op, init);
+  assert(std::equal(output.begin(), output.begin() + G, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name2>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        inclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                       out.get_pointer(), binary_op);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      binary_op, identity);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name3>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        inclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                       out.get_pointer(), binary_op, init);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      binary_op, init);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, N> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, ext::oneapi::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, ext::oneapi::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, ext::oneapi::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, ext::oneapi::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, ext::oneapi::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, ext::oneapi::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelName_zMyjxUrBgeUGoxmDwhvJ>(
+      q, input, output, ext::oneapi::multiplies<int>(), 1);
+  test<class KernelName_SljjtroxNRaAXoVnT>(q, input, output,
+                                           ext::oneapi::bit_or<int>(), 0);
+  test<class KernelName_yXIZfjwjxQGiPeQAnc>(q, input, output,
+                                            ext::oneapi::bit_xor<int>(), 0);
+  test<class KernelName_xGnAnMYHvqekCk>(q, input, output,
+                                        ext::oneapi::bit_and<int>(), ~0);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/inclusive_scan_sycl2020.cpp b/sycl/test-e2e/GroupAlgorithm/inclusive_scan_sycl2020.cpp
new file mode 100644
index 0000000000000..bfa11c40ade1c
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/inclusive_scan_sycl2020.cpp
@@ -0,0 +1,218 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+#include <vector>
+using namespace sycl;
+
+template <class SpecializationKernelName, int TestNumber>
+class inclusive_scan_kernel;
+
+// std::inclusive_scan isn't implemented yet, so use serial implementation
+// instead
+// TODO: use std::inclusive_scan when it will be supported
+namespace emu {
+template <typename InputIterator, typename OutputIterator,
+          class BinaryOperation, typename T>
+OutputIterator inclusive_scan(InputIterator first, InputIterator last,
+                              OutputIterator result, BinaryOperation binary_op,
+                              T init) {
+  T partial = init;
+  for (InputIterator it = first; it != last; ++it) {
+    partial = binary_op(partial, *it);
+    *(result++) = partial;
+  }
+  return result;
+}
+} // namespace emu
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 0> kernel_name0;
+  constexpr size_t N = input.size(); // 128 or 12
+  constexpr size_t G = 64;
+  constexpr size_t confirmRange = std::min(G, N);
+  std::vector<OutputT> expected(N);
+
+  // checking
+  // template <typename Group, typename T, class BinaryOperation>
+  // T inclusive_scan_over_group(Group g, T x, BinaryOperation binary_op)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name0>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = inclusive_scan_over_group(g, in[lid], binary_op);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + confirmRange,
+                      expected.begin(), binary_op, identity);
+  assert(std::equal(output.begin(), output.begin() + confirmRange,
+                    expected.begin()));
+
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 1> kernel_name1;
+  constexpr OutputT init = 42;
+
+  // checking
+  // template <typename Group, typename V, class BinaryOperation, typename T>
+  // T inclusive_scan_over_group(Group g, V x, BinaryOperation binary_op, T
+  // init)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name1>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[lid] = inclusive_scan_over_group(g, in[lid], binary_op, init);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + confirmRange,
+                      expected.begin(), binary_op, init);
+  assert(std::equal(output.begin(), output.begin() + confirmRange,
+                    expected.begin()));
+
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 2> kernel_name2;
+
+  // checking
+  // template <typename Group, typename InPtr, typename OutPtr,
+  //           class BinaryOperation>
+  // OutPtr joint_inclusive_scan(Group g, InPtr first, InPtr last, OutPtr
+  // result,
+  //                  BinaryOperation binary_op)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name2>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_inclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), binary_op);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      binary_op, identity);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+
+  typedef class inclusive_scan_kernel<SpecializationKernelName, 3> kernel_name3;
+
+  // checking
+  // template <typename Group, typename InPtr, typename OutPtr,
+  //      class BinaryOperation, typename T>
+  // OutPtr joint_inclusive_scan(Group g, InPtr first, InPtr last, OutPtr
+  // result,
+  //                             BinaryOperation binary_op, T init)
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<kernel_name3>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        joint_inclusive_scan(g, in.get_pointer(), in.get_pointer() + N,
+                             out.get_pointer(), binary_op, init);
+      });
+    });
+  }
+  emu::inclusive_scan(input.begin(), input.begin() + N, expected.begin(),
+                      binary_op, init);
+  assert(std::equal(output.begin(), output.begin() + N, expected.begin()));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, N> output;
+  std::iota(input.begin(), input.end(), 2);
+  std::fill(output.begin(), output.end(), 0);
+
+  // Smaller size as the multiplication test
+  // will result in computing of a factorial
+  // 12! fits in a 32 bits integer.
+  constexpr int M = 12;
+  std::array<int, M> input_small;
+  std::array<int, M> output_small;
+  std::iota(input_small.begin(), input_small.end(), 1);
+  std::fill(output_small.begin(), output_small.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, sycl::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, sycl::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, sycl::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, sycl::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, sycl::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, sycl::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelNameMultipliesI>(q, input_small, output_small,
+                                    sycl::multiplies<int>(), 1);
+  test<class KernelNameBitOrI>(q, input, output, sycl::bit_or<int>(), 0);
+  test<class KernelNameBitXorI>(q, input, output, sycl::bit_xor<int>(), 0);
+  test<class KernelNameBitAndI>(q, input_small, output_small,
+                                sycl::bit_and<int>(), ~0);
+
+  // as part of SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS (
+  // https://github.com/intel/llvm/pull/5108/ ) joint_inclusive_scan and
+  // inclusive_scan_over_group now operate on std::complex limited to using the
+  // sycl::plus binary operation.
+#ifdef SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS
+  std::array<std::complex<float>, N> input_cf;
+  std::array<std::complex<float>, N> output_cf;
+  std::iota(input_cf.begin(), input_cf.end(), 0);
+  std::fill(output_cf.begin(), output_cf.end(), 0);
+  test<class KernelNamePlusComplexF>(q, input_cf, output_cf,
+                                     sycl::plus<std::complex<float>>(), 0);
+  test<class KernelNamePlusUnspecF>(q, input_cf, output_cf, sycl::plus<>(), 0);
+
+  if (q.get_device().has(aspect::fp64)) {
+    std::array<std::complex<double>, N> input_cd;
+    std::array<std::complex<double>, N> output_cd;
+    std::iota(input_cd.begin(), input_cd.end(), 0);
+    std::fill(output_cd.begin(), output_cd.end(), 0);
+    test<class KernelNamePlusComplexD>(q, input_cd, output_cd,
+                                       sycl::plus<std::complex<double>>(), 0);
+    test<class KernelNamePlusUnspecD>(q, input_cd, output_cd, sycl::plus<>(),
+                                      0);
+  } else {
+    std::cout << "aspect::fp64 not supported. skipping std::complex<double>"
+              << std::endl;
+  }
+#else
+  static_assert(false, "SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS not defined");
+#endif
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/leader.cpp b/sycl/test-e2e/GroupAlgorithm/leader.cpp
new file mode 100644
index 0000000000000..fa6506eafbf7b
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/leader.cpp
@@ -0,0 +1,47 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cassert>
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+class leader_kernel;
+
+void test(queue q) {
+  typedef class leader_kernel kernel_name;
+  int out = 0;
+  size_t G = 4;
+
+  range<2> R(G, G);
+  {
+    buffer<int> out_buf(&out, 1);
+
+    q.submit([&](handler &cgh) {
+      auto out = out_buf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<kernel_name>(nd_range<2>(R, R), [=](nd_item<2> it) {
+        group<2> g = it.get_group();
+        if (leader(g)) {
+          out[0] += 1;
+        }
+      });
+    });
+  }
+  assert(out == 1);
+}
+
+int main() {
+  queue q;
+  std::string version = q.get_device().get_info<sycl::info::device::version>();
+  if (version < std::string("2.0")) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  test(q);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/none_of.cpp b/sycl/test-e2e/GroupAlgorithm/none_of.cpp
new file mode 100644
index 0000000000000..641eab921dc8f
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/none_of.cpp
@@ -0,0 +1,73 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <class Predicate> class none_of_kernel;
+
+struct GeZero {
+  bool operator()(int i) const { return i >= 0; }
+};
+struct IsEven {
+  bool operator()(int i) const { return (i % 2) == 0; }
+};
+struct LtZero {
+  bool operator()(int i) const { return i < 0; }
+};
+
+template <typename InputContainer, typename OutputContainer, class Predicate>
+void test(queue q, InputContainer input, OutputContainer output,
+          Predicate pred) {
+  typedef class none_of_kernel<Predicate> kernel_name;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<int> in_buf(input.data(), input.size());
+    buffer<bool> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.get_access<access::mode::read>(cgh);
+      auto out = out_buf.get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<kernel_name>(nd_range<1>(G, G), [=](nd_item<1> it) {
+        group<1> g = it.get_group();
+        int lid = it.get_local_id(0);
+        out[0] = none_of(g, pred(in[lid]));
+        out[1] = none_of(g, in[lid], pred);
+        out[2] = none_of(g, in.get_pointer(), in.get_pointer() + N, pred);
+      });
+    });
+  }
+  bool expected = std::none_of(input.begin(), input.end(), pred);
+  assert(output[0] == expected);
+  assert(output[1] == expected);
+  assert(output[2] == expected);
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<bool, 3> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), false);
+
+  test(q, input, output, GeZero());
+  test(q, input, output, IsEven());
+  test(q, input, output, LtZero());
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/ns_compat.h b/sycl/test-e2e/GroupAlgorithm/ns_compat.h
new file mode 100644
index 0000000000000..d534afb6ac489
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/ns_compat.h
@@ -0,0 +1,8 @@
+/* https://github.com/intel/llvm/pull/2231: namespace compatibility mode*/
+__SYCL_INLINE_NAMESPACE(cl){namespace sycl{namespace intel{};
+namespace ext::oneapi {
+using namespace sycl::intel;
+}
+}
+}
+;
diff --git a/sycl/test-e2e/GroupAlgorithm/reduce.cpp b/sycl/test-e2e/GroupAlgorithm/reduce.cpp
new file mode 100644
index 0000000000000..5fd10e24edcd1
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/reduce.cpp
@@ -0,0 +1,93 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// XFAIL: hip
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  OutputT init = 42;
+  size_t N = input.size();
+  size_t G = 64;
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::read>(cgh);
+      auto out = out_buf.template get_access<access::mode::discard_write>(cgh);
+      cgh.parallel_for<SpecializationKernelName>(
+          nd_range<1>(G, G), [=](nd_item<1> it) {
+            group<1> g = it.get_group();
+            int lid = it.get_local_id(0);
+            out[0] = reduce(g, in[lid], binary_op);
+            out[1] = reduce(g, in[lid], init, binary_op);
+            out[2] =
+                reduce(g, in.get_pointer(), in.get_pointer() + N, binary_op);
+            out[3] = reduce(g, in.get_pointer(), in.get_pointer() + N, init,
+                            binary_op);
+          });
+    });
+  }
+  // std::reduce is not implemented yet, so use std::accumulate instead
+  assert(output[0] == std::accumulate(input.begin(), input.begin() + G,
+                                      identity, binary_op));
+  assert(output[1] ==
+         std::accumulate(input.begin(), input.begin() + G, init, binary_op));
+  assert(output[2] ==
+         std::accumulate(input.begin(), input.end(), identity, binary_op));
+  assert(output[3] ==
+         std::accumulate(input.begin(), input.end(), init, binary_op));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, 4> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, ext::oneapi::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, ext::oneapi::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, ext::oneapi::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, ext::oneapi::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, ext::oneapi::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, ext::oneapi::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+  test<class KernelName_WonwuUVPUPOTKRKIBtT>(q, input, output,
+                                             ext::oneapi::multiplies<int>(), 1);
+  test<class KernelName_qYBaJDZTMGkdIwD>(q, input, output,
+                                         ext::oneapi::bit_or<int>(), 0);
+  test<class KernelName_eLSFt>(q, input, output, ext::oneapi::bit_xor<int>(),
+                               0);
+  test<class KernelName_uFhJnxSVhNAiFPTG>(q, input, output,
+                                          ext::oneapi::bit_and<int>(), ~0);
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/reduce_sycl2020.cpp b/sycl/test-e2e/GroupAlgorithm/reduce_sycl2020.cpp
new file mode 100644
index 0000000000000..95e0d6119a34d
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/reduce_sycl2020.cpp
@@ -0,0 +1,121 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -I . -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "support.h"
+#include <algorithm>
+#include <cassert>
+#include <complex>
+#include <iostream>
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <typename SpecializationKernelName, typename InputContainer,
+          typename OutputContainer, class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op,
+          typename OutputContainer::value_type identity) {
+  typedef typename InputContainer::value_type InputT;
+  typedef typename OutputContainer::value_type OutputT;
+  constexpr OutputT init = 42;
+  constexpr size_t N = input.size();
+  constexpr size_t G = 64;
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+      cgh.parallel_for<SpecializationKernelName>(
+          nd_range<1>(G, G), [=](nd_item<1> it) {
+            group<1> g = it.get_group();
+            int lid = it.get_local_id(0);
+            out[0] = reduce_over_group(g, in[lid], binary_op);
+            out[1] = reduce_over_group(g, in[lid], init, binary_op);
+            out[2] = joint_reduce(g, in.get_pointer(), in.get_pointer() + N,
+                                  binary_op);
+            out[3] = joint_reduce(g, in.get_pointer(), in.get_pointer() + N,
+                                  init, binary_op);
+          });
+    });
+  }
+  // std::reduce is not implemented yet, so use std::accumulate instead
+  // TODO: use std::reduce when it will be supported
+  assert(output[0] == std::accumulate(input.begin(), input.begin() + G,
+                                      identity, binary_op));
+  assert(output[1] ==
+         std::accumulate(input.begin(), input.begin() + G, init, binary_op));
+  assert(output[2] ==
+         std::accumulate(input.begin(), input.end(), identity, binary_op));
+  assert(output[3] ==
+         std::accumulate(input.begin(), input.end(), init, binary_op));
+}
+
+int main() {
+  queue q;
+  if (!isSupportedDevice(q.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, 4> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  test<class KernelNamePlusV>(q, input, output, sycl::plus<>(), 0);
+  test<class KernelNameMinimumV>(q, input, output, sycl::minimum<>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumV>(q, input, output, sycl::maximum<>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNamePlusI>(q, input, output, sycl::plus<int>(), 0);
+  test<class KernelNameMinimumI>(q, input, output, sycl::minimum<int>(),
+                                 std::numeric_limits<int>::max());
+  test<class KernelNameMaximumI>(q, input, output, sycl::maximum<int>(),
+                                 std::numeric_limits<int>::lowest());
+
+  test<class KernelNameMultipliesI>(q, input, output, sycl::multiplies<int>(),
+                                    1);
+  test<class KernelNameBitOrI>(q, input, output, sycl::bit_or<int>(), 0);
+  test<class KernelNameBitXorI>(q, input, output, sycl::bit_xor<int>(), 0);
+  test<class KernelNameBitAndI>(q, input, output, sycl::bit_and<int>(), ~0);
+
+  // as part of SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS (
+  // https://github.com/intel/llvm/pull/5108/ ) joint_reduce and
+  // reduce_over_group now operate on std::complex limited to using the
+  // sycl::plus binary operation.
+#ifdef SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS
+  std::array<std::complex<float>, N> input_cf;
+  std::array<std::complex<float>, 4> output_cf;
+  std::iota(input_cf.begin(), input_cf.end(), 0);
+  std::fill(output_cf.begin(), output_cf.end(), 0);
+  test<class KernelNamePlusComplexF>(q, input_cf, output_cf,
+                                     sycl::plus<std::complex<float>>(), 0);
+  test<class KernelNamePlusUnspecF>(q, input_cf, output_cf, sycl::plus<>(), 0);
+
+  if (q.get_device().has(aspect::fp64)) {
+    std::array<std::complex<double>, N> input_cd;
+    std::array<std::complex<double>, 4> output_cd;
+    std::iota(input_cd.begin(), input_cd.end(), 0);
+    std::fill(output_cd.begin(), output_cd.end(), 0);
+    test<class KernelNamePlusComplexD>(q, input_cd, output_cd,
+                                       sycl::plus<std::complex<double>>(), 0);
+    test<class KernelNamePlusUnspecD>(q, input_cd, output_cd, sycl::plus<>(),
+                                      0);
+  } else {
+    std::cout << "aspect::fp64 not supported. skipping std::complex<double>"
+              << std::endl;
+  }
+#else
+  static_assert(false, "SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS not defined");
+#endif
+
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/GroupAlgorithm/support.h b/sycl/test-e2e/GroupAlgorithm/support.h
new file mode 100644
index 0000000000000..b793713f57cdb
--- /dev/null
+++ b/sycl/test-e2e/GroupAlgorithm/support.h
@@ -0,0 +1,27 @@
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+
+bool isSupportedDevice(device D) {
+  std::string PlatformName =
+      D.get_platform().get_info<sycl::info::platform::name>();
+  if (PlatformName.find("CUDA") != std::string::npos)
+    return true;
+
+  if (PlatformName.find("Level-Zero") != std::string::npos)
+    return true;
+
+  if (PlatformName.find("OpenCL") != std::string::npos) {
+    std::string Version = D.get_info<sycl::info::device::version>();
+    size_t Offset = Version.find("OpenCL");
+    if (Offset == std::string::npos)
+      return false;
+    Version = Version.substr(Offset + 7, 3);
+    if (Version >= std::string("2.0"))
+      return true;
+  }
+
+  return false;
+}
diff --git a/sycl/test-e2e/GroupLocalMemory/group_local_memory.cpp b/sycl/test-e2e/GroupLocalMemory/group_local_memory.cpp
new file mode 100644
index 0000000000000..3b50985e7c1d9
--- /dev/null
+++ b/sycl/test-e2e/GroupLocalMemory/group_local_memory.cpp
@@ -0,0 +1,101 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <vector>
+
+constexpr size_t WgSize = 32;
+constexpr size_t WgCount = 4;
+constexpr size_t Size = WgSize * WgCount;
+
+struct Foo {
+  Foo() = delete;
+  Foo(int Value, int &Counter) {
+    for (int I = 0; I < WgSize; ++I)
+      Values[I] = Value;
+    ++Counter;
+  }
+  int Values[WgSize];
+};
+
+class KernelA;
+class KernelB;
+
+using namespace sycl;
+
+int main() {
+  queue Q;
+  {
+    std::vector<int> Vec(Size, 0);
+    buffer<int, 1> Buf{Vec.data(), range<1>(Size)};
+    std::vector<int> CounterVec(WgCount, 0);
+    buffer<int, 1> CounterBuf{CounterVec.data(), range<1>(WgCount)};
+
+    Q.submit([&](handler &Cgh) {
+      auto Acc = Buf.get_access<access::mode::read_write>(Cgh);
+      auto CounterAcc = CounterBuf.get_access<access::mode::read_write>(Cgh);
+      Cgh.parallel_for<KernelA>(
+          nd_range<1>(range<1>(Size), range<1>(WgSize)), [=](nd_item<1> Item) {
+            // Some alternative (and functionally equivalent) ways to use this
+            // would be:
+            // auto Ptr = group_local_memory<Foo>(Item.get_group(), ...);
+            // Foo &Ref = *group_local_memory<Foo>(Item.get_group(), ...);
+            multi_ptr<Foo, access::address_space::local_space,
+                      sycl::access::decorated::legacy>
+                Ptr = group_local_memory<Foo>(
+                    Item.get_group(), 1,
+                    CounterAcc[Item.get_group_linear_id()]);
+            Ptr->Values[Item.get_local_linear_id()] *=
+                Item.get_local_linear_id();
+
+            Item.barrier();
+            // Check that the memory is accessible from other work-items
+            size_t LocalIdx = Item.get_local_linear_id() ^ 1;
+            size_t GlobalIdx = Item.get_global_linear_id() ^ 1;
+            Acc[GlobalIdx] = Ptr->Values[LocalIdx];
+          });
+    });
+
+    auto Acc = Buf.get_access<access::mode::read>();
+    for (size_t I = 0; I < Size; ++I)
+      assert(Acc[I] == I % WgSize);
+
+    // Check that the constructor has been called once per work-group
+    auto CounterAcc = CounterBuf.get_access<access::mode::read>();
+    for (size_t I = 0; I < WgCount; ++I)
+      assert(CounterAcc[I] == 1);
+  }
+
+  {
+    std::vector<int> Vec(Size, 0);
+    buffer<int, 1> Buf{Vec.data(), range<1>(Size)};
+
+    Q.submit([&](handler &Cgh) {
+      auto Acc = Buf.get_access<access::mode::read_write>(Cgh);
+      Cgh.parallel_for<KernelB>(
+          nd_range<1>(range<1>(Size), range<1>(WgSize)), [=](nd_item<1> Item) {
+            multi_ptr<int[WgSize], access::address_space::local_space,
+                      sycl::access::decorated::legacy>
+                Ptr = group_local_memory_for_overwrite<int[WgSize]>(
+                    Item.get_group());
+            (*Ptr)[Item.get_local_linear_id()] = Item.get_local_linear_id();
+
+            Item.barrier();
+            // Check that the memory is accessible from other work-items
+            size_t LocalIdx = Item.get_local_linear_id() ^ 1;
+            size_t GlobalIdx = Item.get_global_linear_id() ^ 1;
+            Acc[GlobalIdx] = (*Ptr)[LocalIdx];
+          });
+    });
+
+    auto Acc = Buf.get_access<access::mode::read>();
+    for (size_t I = 0; I < Size; ++I)
+      assert(Acc[I] == I % WgSize);
+  }
+}
diff --git a/sycl/test-e2e/GroupLocalMemory/no_early_opt.cpp b/sycl/test-e2e/GroupLocalMemory/no_early_opt.cpp
new file mode 100644
index 0000000000000..b5952d167ede1
--- /dev/null
+++ b/sycl/test-e2e/GroupLocalMemory/no_early_opt.cpp
@@ -0,0 +1,57 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fno-sycl-early-optimizations %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+
+// The test checks that multiple calls to the same template instantiation of a
+// group local memory function result in separate allocations, even with device
+// code optimizations disabled (the implementation relies on inlining these
+// functions regardless of device code optimization settings).
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <vector>
+
+constexpr size_t WgSize = 32;
+constexpr size_t WgCount = 4;
+constexpr size_t Size = WgSize * WgCount;
+
+class KernelA;
+
+using namespace sycl;
+
+int main() {
+  queue Q;
+  {
+    std::vector<int *> VecA(Size, 0);
+    std::vector<int *> VecB(Size, 0);
+    buffer<int *, 1> BufA{VecA.data(), range<1>(Size)};
+    buffer<int *, 1> BufB{VecB.data(), range<1>(Size)};
+
+    Q.submit([&](handler &Cgh) {
+      auto AccA = BufA.get_access<access::mode::read_write>(Cgh);
+      auto AccB = BufB.get_access<access::mode::read_write>(Cgh);
+      Cgh.parallel_for<KernelA>(
+          nd_range<1>(range<1>(Size), range<1>(WgSize)), [=](nd_item<1> Item) {
+            multi_ptr<int, access::address_space::local_space,
+                      sycl::access::decorated::legacy>
+                PtrA = group_local_memory_for_overwrite<int>(Item.get_group());
+            multi_ptr<int, access::address_space::local_space,
+                      sycl::access::decorated::legacy>
+                PtrB = group_local_memory_for_overwrite<int>(Item.get_group());
+
+            size_t GlobalId = Item.get_global_linear_id();
+            AccA[GlobalId] = PtrA;
+            AccB[GlobalId] = PtrB;
+          });
+    });
+
+    auto AccA = BufA.get_access<access::mode::read>();
+    auto AccB = BufB.get_access<access::mode::read>();
+    for (size_t I = 0; I < Size; ++I)
+      assert(AccA[I] != AccB[I]);
+  }
+}
diff --git a/sycl/test-e2e/HierPar/Inputs/hier_par_wgscope_impl.hpp b/sycl/test-e2e/HierPar/Inputs/hier_par_wgscope_impl.hpp
new file mode 100644
index 0000000000000..02cef9fa76fb3
--- /dev/null
+++ b/sycl/test-e2e/HierPar/Inputs/hier_par_wgscope_impl.hpp
@@ -0,0 +1,268 @@
+//==- hier_par_wgscope_impl.hpp --- hier. parallelism test for WG scope ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// Shared code for the hier_par_wgscope* tests
+
+#include <iostream>
+#include <memory>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// Tests complex patterns of data and code usage at work group scope:
+// - wg scope code and data inside a loop
+// - PFWIs inside complex control flow
+static bool testWgScope(queue &Q) {
+  std::cout << "+++ Testing work group scope code and Data handling...\n";
+  const int MAX_HW_SIMD = 2;
+  const int N_WG = 3;
+  const int PHYS_WG_SIZE = MAX_HW_SIMD + 3;
+  const int FLEX_RANGE_SIZE = PHYS_WG_SIZE + 2;
+  const int N_ITER = 3;
+  const int N_INNER_ITER = 2;
+  const int N_OUTER_ITER = 3;
+  const int RangeLength = N_WG * PHYS_WG_SIZE;
+  const int VAL1 = 10;
+  const int VAL2 = 1000;
+  const int GROUP_ID_SPLIT = 2;
+
+  std::unique_ptr<int[]> Data(new int[RangeLength]);
+  int *Ptr = Data.get();
+  std::memset(Ptr, 0, RangeLength * sizeof(Ptr[0]));
+
+  try {
+    // 1 element per physical WI:
+    buffer<int, 1> Buf(Ptr, range<1>(RangeLength));
+    int N = N_INNER_ITER;
+
+    Q.submit([&](handler &cgh) {
+      auto DevPtr = Buf.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for_work_group<class hpar_hw>(
+          range<1>(N_WG), range<1>(PHYS_WG_SIZE), [=](group<1> G) {
+            // offset of group'S chunk in the 'DevPtr' array:
+            int GroupOff = PHYS_WG_SIZE * G.get_id(0);
+
+            for (int CntOuter = 0; CntOuter < N_OUTER_ITER; CntOuter++) {
+              // local group-shared array; declared inside a loop
+              int WgShared[PHYS_WG_SIZE];
+
+              // Step 0 - initialize it to VAL1
+              for (int Cnt = 0; Cnt < PHYS_WG_SIZE; Cnt++) {
+                WgShared[Cnt] = VAL1;
+              }
+
+              // Step 1 - increment array elements in each WI
+              G.parallel_for_work_item([&](h_item<1> I) {
+                int Ind = I.get_global_id(0);
+                DevPtr[Ind]++;
+              });
+
+              // only for groups with IDs 0, 1:
+              if (G.get_id(0) < GROUP_ID_SPLIT) {
+                // invoke PFWI in the loop
+                // Step 2a (1) - additionally increment 1 element per group as a
+                //   "side effect" of the increment part
+                for (int Cnt = 0; Cnt < N; Cnt++, DevPtr[GroupOff]++) {
+                  // Step 2a
+                  G.parallel_for_work_item([&](h_item<1> I) {
+                    int Ind = I.get_global_id(0);
+                    //   2a (2) add VAL1 in each physical WI
+                    DevPtr[Ind] += VAL1;
+                    //   2a (3) increment elements of the group-local shared
+                    //   array
+                    WgShared[I.get_local_id(0)]++;
+                  });
+                  // Step 3a - one more per-group increment
+                  DevPtr[GroupOff]++;
+                }
+              }
+              // only for groups with IDs 2 and up:
+              else {
+                // Step 2b - add VAL2 in each logical WI in a flexible range
+                G.parallel_for_work_item(range<1>{FLEX_RANGE_SIZE},
+                                         [&](h_item<1> I) {
+                                           int Ind = I.get_global_id(0);
+                                           DevPtr[Ind] += VAL2;
+                                         });
+              }
+              // Step 4 - store the local shared array into its chunk within the
+              // global array
+              for (int Cnt = 0; Cnt < PHYS_WG_SIZE; Cnt++) {
+                DevPtr[GroupOff + Cnt] += WgShared[Cnt];
+              }
+            }
+          });
+    });
+    Q.wait();
+  } catch (sycl::exception const &E) {
+    std::cout << "SYCL exception caught: " << E.what() << '\n';
+    return 2;
+  }
+  // verify
+  int ErrCnt = 0;
+
+  for (int WG = 0; WG < N_WG; WG++) {
+    for (int WI = 0; WI < PHYS_WG_SIZE; WI++) {
+      int GlobalId = WG * PHYS_WG_SIZE + WI;
+      // Step 0
+      int Gold = VAL1;
+      // Step 1
+      Gold++;
+
+      if (WG < GROUP_ID_SPLIT) {
+        int GoldInner = 0;
+        if (WI == 0)
+          // Step 2a - 1
+          GoldInner++;
+        // Step 2a - 2
+        GoldInner += VAL1;
+        // Step 2a - 3
+        GoldInner++;
+        if (WI == 0)
+          // Step 3a
+          GoldInner++;
+        Gold += GoldInner * N_INNER_ITER;
+      } else {
+        // Step 2b
+        for (int I = 0; I < FLEX_RANGE_SIZE / PHYS_WG_SIZE; I++)
+          Gold += VAL2;
+        if (WI < FLEX_RANGE_SIZE % PHYS_WG_SIZE)
+          Gold += VAL2;
+      }
+      Gold *= N_OUTER_ITER;
+      int Val = Ptr[GlobalId];
+
+      if (Gold != Val) {
+        if (++ErrCnt < 16) {
+          std::cout << "*** ERROR at WG=" << WG << " WI=" << WI << ": " << Val
+                    << " != " << Gold << "(Gold)\n";
+        }
+      }
+    }
+  }
+
+  if (ErrCnt == 0) {
+    std::cout << "  Passed\n";
+    return true;
+  }
+  std::cout << "  Failed. Failure rate: " << ErrCnt << "/" << RangeLength << "("
+            << ErrCnt / (float)RangeLength * 100.f << "%)\n";
+  return false;
+}
+
+template <typename GoldFnTy>
+bool verify(int testcase, int RangeLength, const int *Ptr, GoldFnTy get_gold) {
+  int ErrCnt = 0;
+
+  for (int I = 0; I < RangeLength; I++) {
+    int Gold = get_gold(I);
+
+    if (Ptr[I] != Gold) {
+      if (++ErrCnt < 20) {
+        std::cout << testcase << " - ERROR at " << I << ": " << Ptr[I]
+                  << " != " << Gold << "(expected)\n";
+      }
+    }
+  }
+  if (ErrCnt > 0)
+    std::cout << "-- Failure rate: " << ErrCnt << "/" << RangeLength << "("
+              << ErrCnt / (float)RangeLength * 100.f << "%)\n";
+  return ErrCnt == 0;
+}
+
+struct MyStruct {
+  size_t x;
+  size_t y;
+};
+
+// Tests complex private_memory usage:
+// - Data type is a structure
+// - two different variables are used, both are live across two PFWI scopes
+bool testPrivateMemory(queue &Q) {
+  std::cout << "+++ Testing private_memory class implementation...\n";
+  constexpr int N_ITER = 3;
+  constexpr int N_WG = 2;
+  constexpr int WG_X_SIZE = 7;
+  constexpr int WG_Y_SIZE = 3;
+  constexpr int WG_LINEAR_SIZE = WG_X_SIZE * WG_Y_SIZE;
+  constexpr int RangeLength = N_WG * WG_LINEAR_SIZE;
+  constexpr int C1 = 5;
+  constexpr int C2 = 1;
+
+  std::unique_ptr<int[]> Data(new int[RangeLength]);
+  int *Ptr = Data.get();
+
+  std::memset(Ptr, 0, RangeLength * sizeof(Ptr[0]));
+  buffer<int, 1> Buf(Ptr, range<1>(RangeLength));
+  Q.submit([&](handler &cgh) {
+    auto DevPtr = Buf.get_access<access::mode::read_write>(cgh);
+
+    cgh.parallel_for_work_group<class hpar_priv_mem>(
+        range<2>(N_WG, 1), range<2>(WG_X_SIZE, WG_Y_SIZE), [=](group<2> G) {
+          private_memory<MyStruct, 2> Priv1(G);
+          private_memory<MyStruct, 2> Priv2(G);
+
+          for (int Cnt = 0; Cnt < N_ITER; Cnt++) {
+            G.parallel_for_work_item(
+                range<2>(WG_X_SIZE, WG_Y_SIZE), [&](h_item<2> I) {
+                  auto GlobId = I.get_global().get_linear_id();
+                  DevPtr[GlobId]++;
+                  MyStruct &S1 = Priv1(I);
+                  S1.x = GlobId;
+                  S1.y = C1;
+                  MyStruct &S2 = Priv2(I);
+                  S2.x = C2;
+                  S2.y = GlobId;
+                });
+            G.parallel_for_work_item(range<2>(WG_X_SIZE, WG_Y_SIZE),
+                                     [&](h_item<2> I) {
+                                       MyStruct &S1 = Priv1(I);
+                                       MyStruct &S2 = Priv2(I);
+                                       DevPtr[I.get_global().get_linear_id()] +=
+                                           S1.x + S1.y + S2.x + S2.y;
+                                     });
+          }
+        });
+  });
+  auto Ptr1 = Buf.get_access<access::mode::read>().get_pointer();
+  bool Res = verify(0, RangeLength, Ptr1, [&](int I) -> int {
+    return N_ITER * (1 + C1 + C2 + 2 * I);
+  });
+  std::cout << (Res ? "  Passed\n" : "  FAILED\n");
+  return Res;
+}
+
+int run() {
+  queue Q([](exception_list L) {
+    for (auto ep : L) {
+      try {
+        std::rethrow_exception(ep);
+      } catch (std::exception &E) {
+        std::cout << "*** std exception caught:\n";
+        std::cout << E.what();
+      } catch (sycl::exception const &E1) {
+        std::cout << "*** SYCL exception caught:\n";
+        std::cout << E1.what();
+      }
+    }
+  });
+  std::cout << "Using device: "
+            << Q.get_device().get_info<sycl::info::device::name>() << "\n";
+
+  bool Passed = true;
+  Passed &= testWgScope(Q);
+  Passed &= testPrivateMemory(Q);
+
+  if (!Passed) {
+    std::cout << "FAILED\n";
+    return 1;
+  }
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/HierPar/hier_par_basic.cpp b/sycl/test-e2e/HierPar/hier_par_basic.cpp
new file mode 100644
index 0000000000000..eee701b002aa1
--- /dev/null
+++ b/sycl/test-e2e/HierPar/hier_par_basic.cpp
@@ -0,0 +1,315 @@
+//==- hier_par_basic.cpp --- hierarchical parallelism API test -------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test checks hierarchical parallelism invocation APIs, but without any
+// data or code with side-effects between the work group and work item scopes.
+
+#include <iostream>
+#include <memory>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename GoldFnTy>
+bool verify(int testcase, int range_length, const int *ptr, GoldFnTy get_gold) {
+  int err_cnt = 0;
+
+  for (int i = 0; i < range_length; i++) {
+    int gold = get_gold(i);
+
+    if (ptr[i] != gold) {
+      if (++err_cnt < 20) {
+        std::cout << testcase << " - ERROR at " << i << ": " << ptr[i]
+                  << " != " << gold << "(expected)\n";
+      }
+    }
+  }
+  if (err_cnt > 0)
+    std::cout << "-- Failure rate: " << err_cnt << "/" << range_length << "("
+              << err_cnt / (float)range_length * 100.f << "%)\n";
+  return err_cnt == 0;
+}
+
+struct MyStruct {
+  int x;
+  int y;
+};
+
+using AccTy =
+    accessor<int, 1, access::mode::read_write, sycl::access::target::device>;
+
+struct PFWIFunctor {
+  PFWIFunctor(size_t wg_chunk, size_t wg_size, size_t wg_offset,
+              size_t range_length, int v, AccTy &dev_ptr)
+      : wg_chunk(wg_chunk), wg_size(wg_size), wg_offset(wg_offset),
+        range_length(range_length), v(v), dev_ptr(dev_ptr) {}
+
+  void operator()(h_item<1> i) const {
+    // number of buf elements per work item:
+    size_t wi_chunk = (wg_chunk + wg_size - 1) / wg_size;
+    auto id = i.get_physical_local_id().get(0);
+    if (id >= wg_chunk)
+      return;
+    size_t wi_offset = wg_offset + id * wi_chunk;
+    size_t ub = sycl::min(wi_offset + wi_chunk, range_length);
+
+    for (size_t ind = wi_offset; ind < ub; ind++)
+      dev_ptr[ind] += v;
+  }
+
+  size_t wg_chunk;
+  size_t wg_size;
+  size_t wg_offset;
+  size_t range_length;
+  int v;
+  AccTy &dev_ptr;
+};
+
+struct PFWGFunctor {
+  PFWGFunctor(size_t wg_chunk, size_t range_length, int addend, int n_iter,
+              AccTy &dev_ptr)
+      : wg_chunk(wg_chunk), range_length(range_length), dev_ptr(dev_ptr),
+        addend(addend), n_iter(n_iter) {}
+
+  void operator()(group<1> g) const {
+    int v = addend; // to check constant initializer works too
+    size_t wg_offset = wg_chunk * g.get_id(0);
+    size_t wg_size = g.get_local_range(0);
+
+    PFWIFunctor PFWI(wg_chunk, wg_size, wg_offset, range_length, v, dev_ptr);
+
+    for (int cnt = 0; cnt < n_iter; cnt++) {
+      g.parallel_for_work_item(PFWI);
+    }
+  }
+  // Dummy operator '()' to make sure compiler can handle multiple '()'
+  // operators/ and pick the right one for PFWG kernel code generation.
+  void operator()(int ind, int val) const { dev_ptr[ind] += val; }
+
+  const size_t wg_chunk;
+  const size_t range_length;
+  const int n_iter;
+  const int addend;
+  mutable AccTy dev_ptr;
+};
+
+int main() {
+  constexpr int N_WG = 7;
+  constexpr int WG_SIZE_PHYSICAL = 3;
+  constexpr int WG_SIZE_GREATER_THAN_PHYSICAL = 5;
+  constexpr int WG_SIZE_LESS_THAN_PHYSICAL = 2;
+  constexpr int N_ITER = 2;
+
+  constexpr size_t range_length = N_WG * WG_SIZE_PHYSICAL;
+  std::unique_ptr<int[]> data(new int[range_length]);
+  int *ptr = data.get();
+  bool passed = true;
+
+  try {
+    queue myQueue;
+
+    std::cout << "Running on "
+              << myQueue.get_device().get_info<sycl::info::device::name>()
+              << "\n";
+    {
+      // Testcase1
+      // - PFWG kernel and PFWI function are represented as functor objects
+      // - PFWG functor contains extra dummy '()' operator
+      // - handler::parallel_for_work_group w/o local size specification +
+      //   group::parallel_for_work_item w/o flexible range
+      // - h_item::get_global_id
+      // The global size is not known, so kernel code needs to adapt
+      // dynamically, hence the complex loop bound and index computation.
+      std::memset(ptr, 0, range_length * sizeof(ptr[0]));
+      buffer<int, 1> buf(ptr, range<1>(range_length));
+      const int addend = 10;
+
+      myQueue.submit([&](handler &cgh) {
+        auto dev_ptr = buf.get_access<access::mode::read_write>(cgh);
+        // number of 'buf' elements per work group:
+        size_t wg_chunk = (range_length + N_WG - 1) / N_WG;
+        PFWGFunctor PFWG(wg_chunk, range_length, addend, N_ITER, dev_ptr);
+        cgh.parallel_for_work_group(range<1>(N_WG), PFWG);
+      });
+      auto ptr1 = buf.get_access<access::mode::read>().get_pointer();
+      passed &= verify(1, range_length, ptr1,
+                       [&](int i) -> int { return N_ITER * addend; });
+    }
+
+    {
+      // Testcase2
+      // - handler::parallel_for_work_group with local size specification +
+      //   group::parallel_for_work_item with flexible range
+      // - h_item::get_global_id
+      std::memset(ptr, 0, range_length * sizeof(ptr[0]));
+      buffer<int, 1> buf(ptr, range<1>(range_length));
+      myQueue.submit([&](handler &cgh) {
+        auto dev_ptr = buf.get_access<access::mode::read_write>(cgh);
+
+        cgh.parallel_for_work_group<class hpar_flex>(
+            range<1>(N_WG), range<1>(WG_SIZE_PHYSICAL), [=](group<1> g) {
+              for (int cnt = 0; cnt < N_ITER; cnt++) {
+                g.parallel_for_work_item(
+                    range<1>(WG_SIZE_GREATER_THAN_PHYSICAL),
+                    [&](h_item<1> i) { dev_ptr[i.get_global_id(0)]++; });
+                g.parallel_for_work_item(
+                    range<1>(WG_SIZE_LESS_THAN_PHYSICAL),
+                    [&](h_item<1> i) { dev_ptr[i.get_global_id(0)]++; });
+              }
+            });
+      });
+      auto ptr1 = buf.get_access<access::mode::read>().get_pointer();
+      passed &= verify(2, range_length, ptr1, [&](int i) -> int {
+        // consider increments by the first PFWI:
+        int gold = (WG_SIZE_GREATER_THAN_PHYSICAL - 1) / WG_SIZE_PHYSICAL;
+        if (i % WG_SIZE_PHYSICAL <
+            WG_SIZE_GREATER_THAN_PHYSICAL % WG_SIZE_PHYSICAL) {
+          gold++;
+        }
+        // consider increments by the second PFWI:
+        if (i % WG_SIZE_PHYSICAL < WG_SIZE_LESS_THAN_PHYSICAL) {
+          gold++;
+        }
+        gold *= N_ITER;
+        return gold;
+      });
+    }
+
+    {
+      // Testcase3
+      // - handler::parallel_for_work_group with local size specification +
+      //   group::parallel_for_work_item with flexible range
+      // - h_item::get_logical_local_id,get_physical_local_id
+      std::memset(ptr, 0, range_length * sizeof(ptr[0]));
+      buffer<int, 1> buf(ptr, range<1>(range_length));
+      myQueue.submit([&](handler &cgh) {
+        auto dev_ptr = buf.get_access<access::mode::read_write>(cgh);
+
+        cgh.parallel_for_work_group<class hpar_hitem>(
+            range<1>(N_WG), range<1>(WG_SIZE_PHYSICAL), [=](group<1> g) {
+              for (int cnt = 0; cnt < N_ITER; cnt++) {
+                g.parallel_for_work_item(
+                    range<1>(WG_SIZE_GREATER_THAN_PHYSICAL), [&](h_item<1> i) {
+                      int n =
+                          i.get_logical_local_id() == i.get_physical_local_id()
+                              ? 0
+                              : 1;
+                      dev_ptr[i.get_global_id(0)] += n;
+                    });
+              }
+            });
+      });
+      auto ptr1 = buf.get_access<access::mode::read>().get_pointer();
+      passed &= verify(3, range_length, ptr1, [&](int i) -> int {
+        int gold = 0;
+        if (i % WG_SIZE_PHYSICAL <
+            WG_SIZE_GREATER_THAN_PHYSICAL % WG_SIZE_PHYSICAL) {
+          gold++;
+        }
+        gold *= N_ITER;
+        return gold;
+      });
+    }
+    {
+      // Testcase4
+      // - private_memory<int> private variable lives across two PFWI scopes -
+      //   initialized in the first one and used in the second one
+      const int WG_X_SIZE = 7;
+      const int WG_Y_SIZE = 3;
+      const int WG_LINEAR_SIZE = WG_X_SIZE * WG_Y_SIZE;
+      const int range_length = N_WG * WG_LINEAR_SIZE;
+
+      std::unique_ptr<int[]> data(new int[range_length]);
+      int *ptr = data.get();
+
+      std::memset(ptr, 0, range_length * sizeof(ptr[0]));
+      buffer<int, 1> buf(ptr, range<1>(range_length));
+      myQueue.submit([&](handler &cgh) {
+        auto dev_ptr = buf.get_access<access::mode::read_write>(cgh);
+
+        cgh.parallel_for_work_group<class hpar_priv_mem>(
+            range<2>(N_WG, 1), range<2>(WG_X_SIZE, WG_Y_SIZE), [=](group<2> g) {
+              private_memory<MyStruct, 2> priv(g);
+
+              for (int cnt = 0; cnt < N_ITER; cnt++) {
+                g.parallel_for_work_item(
+                    range<2>(WG_X_SIZE, WG_Y_SIZE), [&](h_item<2> i) {
+                      auto glob_id = i.get_global().get_linear_id();
+                      dev_ptr[glob_id]++;
+                      MyStruct &s = priv(i);
+                      s.x = glob_id;
+                      s.y = 5;
+                    });
+                g.parallel_for_work_item(
+                    range<2>(WG_X_SIZE, WG_Y_SIZE), [&](h_item<2> i) {
+                      const MyStruct &s = priv(i);
+                      dev_ptr[i.get_global().get_linear_id()] += (s.x + s.y);
+                    });
+              }
+            });
+      });
+      auto ptr1 = buf.get_access<access::mode::read>().get_pointer();
+      passed &= verify(3, range_length, ptr1,
+                       [&](int i) -> int { return N_ITER * (1 + i + 5); });
+    }
+    {
+      // Testcase5
+      // - flexible range different from the physical one is used,
+      // get_logical_local_range and get_physical_local_range apis are tested
+      const int wi_chunk = 2;
+      constexpr size_t range_length =
+          N_WG * WG_SIZE_GREATER_THAN_PHYSICAL * wi_chunk;
+      std::unique_ptr<int[]> data(new int[range_length]);
+      int *ptr = data.get();
+
+      std::memset(ptr, 0, range_length * sizeof(ptr[0]));
+      buffer<int, 1> buf(ptr, range<1>(range_length));
+      myQueue.submit([&](handler &cgh) {
+        auto dev_ptr = buf.get_access<access::mode::read_write>(cgh);
+
+        cgh.parallel_for_work_group<class hpar_ranges>(
+            range<1>(N_WG), range<1>(WG_SIZE_PHYSICAL), [=](group<1> g) {
+              for (int cnt = 0; cnt < N_ITER; cnt++) {
+                g.parallel_for_work_item(
+                    range<1>(WG_SIZE_GREATER_THAN_PHYSICAL), [&](h_item<1> i) {
+                      size_t wg_offset = WG_SIZE_GREATER_THAN_PHYSICAL *
+                                         wi_chunk * g.get_id(0);
+                      size_t wi_offset =
+                          wg_offset +
+                          i.get_logical_local_id().get(0) * wi_chunk;
+                      dev_ptr[wi_offset + 0] += i.get_logical_local_range()[0];
+                      dev_ptr[wi_offset + 1] += i.get_physical_local_range()[0];
+                    });
+              }
+            });
+      });
+      auto ptr1 = buf.get_access<access::mode::read>().get_pointer();
+      passed &= verify(5, range_length, ptr1, [&](int i) -> int {
+        int gold =
+            i % 2 == 0 ? WG_SIZE_GREATER_THAN_PHYSICAL : WG_SIZE_PHYSICAL;
+        gold *= N_ITER;
+        return gold;
+      });
+    }
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return 2;
+  }
+
+  if (passed) {
+    std::cout << "Passed\n";
+    return 0;
+  }
+  std::cout << "FAILED\n";
+  return 1;
+}
diff --git a/sycl/test-e2e/HierPar/hier_par_wgscope.cpp b/sycl/test-e2e/HierPar/hier_par_wgscope.cpp
new file mode 100644
index 0000000000000..e91107b171e9e
--- /dev/null
+++ b/sycl/test-e2e/HierPar/hier_par_wgscope.cpp
@@ -0,0 +1,23 @@
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Test hangs on AMD
+// UNSUPPORTED: hip_amd
+
+//==- hier_par_wgscope.cpp --- hierarchical parallelism test for WG scope---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This test checks correctness of hierarchical kernel execution when there is
+// code and data in the work group scope.
+
+#include "Inputs/hier_par_wgscope_impl.hpp"
+
+int main() { return run(); }
diff --git a/sycl/test-e2e/HierPar/hier_par_wgscope_O0.cpp b/sycl/test-e2e/HierPar/hier_par_wgscope_O0.cpp
new file mode 100644
index 0000000000000..f5297d04ace69
--- /dev/null
+++ b/sycl/test-e2e/HierPar/hier_par_wgscope_O0.cpp
@@ -0,0 +1,24 @@
+//==- hier_par_wgscope_O0.cpp --- hier. parallelism test for WG scope (-O0) ==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// Test hangs on AMD with https://github.com/intel/llvm/pull/8412
+// UNSUPPORTED: hip_amd
+
+// RUN: %clangxx -O0 -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test checks correctness of hierarchical kernel execution when there is
+// code and data in the work group scope, and when the test is compiled with
+// -O0 switch.
+
+#include "Inputs/hier_par_wgscope_impl.hpp"
+
+int main() { return run(); }
diff --git a/sycl/test-e2e/HostInteropTask/host-task-dependency2.cpp b/sycl/test-e2e/HostInteropTask/host-task-dependency2.cpp
new file mode 100644
index 0000000000000..09a64df959728
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/host-task-dependency2.cpp
@@ -0,0 +1,99 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out 10
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 10
+// RUN: %ACC_RUN_PLACEHOLDER %t.out 10
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 1024;
+
+static auto EH = [](exception_list EL) {
+  for (const std::exception_ptr &E : EL) {
+    throw E;
+  }
+};
+
+// Host-task depending on another host-task via handler::depends_on() only
+// should not hang
+void test(queue &Q, size_t Count) {
+  static constexpr size_t BufferSize = 10 * 1024;
+
+  buffer<int, 1> B0{range<1>{BufferSize}};
+  buffer<int, 1> B1{range<1>{BufferSize}};
+  buffer<int, 1> B2{range<1>{BufferSize}};
+  buffer<int, 1> B3{range<1>{BufferSize}};
+  buffer<int, 1> B4{range<1>{BufferSize}};
+  buffer<int, 1> B5{range<1>{BufferSize}};
+
+  for (size_t Idx = 1; Idx <= Count; ++Idx) {
+    // This host task should be submitted without hesitation
+    event E1 = Q.submit([&](handler &CGH) {
+      std::cout << "Submit 1" << std::endl;
+
+      auto Acc0 = B0.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc1 = B1.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc2 = B2.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      auto Func = [=] {
+        Acc0[0] = 1 * Idx;
+        Acc1[0] = 2 * Idx;
+        Acc2[0] = 3 * Idx;
+      };
+      CGH.host_task(Func);
+    });
+
+    // This host task is going to depend on blocked empty node of the first
+    // host-task (via buffer #2). Still this one should be enqueued.
+    event E2 = Q.submit([&](handler &CGH) {
+      std::cout << "Submit 2" << std::endl;
+
+      auto Acc2 = B2.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc3 = B3.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      auto Func = [=] {
+        Acc2[1] = 1 * Idx;
+        Acc3[1] = 2 * Idx;
+      };
+      CGH.host_task(Func);
+    });
+
+    // This host-task only depends on the second host-task via
+    // handler::depends_on(). This one should not hang and should be eexecuted
+    // after host-task #2.
+    event E3 = Q.submit([&](handler &CGH) {
+      CGH.depends_on(E2);
+
+      std::cout << "Submit 3" << std::endl;
+
+      auto Acc4 = B4.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc5 = B5.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      auto Func = [=] {
+        Acc4[2] = 1 * Idx;
+        Acc5[2] = 2 * Idx;
+      };
+      CGH.host_task(Func);
+    });
+  }
+
+  Q.wait_and_throw();
+}
+
+int main(int Argc, const char *Argv[]) {
+  size_t Count = 1;
+  if (Argc > 1)
+    Count = std::stoi(Argv[1]);
+
+  queue Q(EH);
+  test(Q, Count);
+  return 0;
+}
diff --git a/sycl/test-e2e/HostInteropTask/host-task-dependency3.cpp b/sycl/test-e2e/HostInteropTask/host-task-dependency3.cpp
new file mode 100644
index 0000000000000..3ff9d0db2bfdb
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/host-task-dependency3.cpp
@@ -0,0 +1,126 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out 10
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 10
+// RUN: %ACC_RUN_PLACEHOLDER %t.out 10
+
+#include <chrono>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <thread>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 1024;
+
+static auto EH = [](exception_list EL) {
+  for (const std::exception_ptr &E : EL) {
+    throw E;
+  }
+};
+
+// Host-task depending on another host-task via handler::depends_on() only
+// should not hang. A bit more complicated case with kernels depending on
+// host-task being involved.
+void test(size_t Count) {
+  queue Q(EH);
+
+  static constexpr size_t BufferSize = 10 * 1024;
+
+  buffer<int, 1> B0{range<1>{BufferSize}};
+  buffer<int, 1> B1{range<1>{BufferSize}};
+  buffer<int, 1> B2{range<1>{BufferSize}};
+  buffer<int, 1> B3{range<1>{BufferSize}};
+  buffer<int, 1> B4{range<1>{BufferSize}};
+  buffer<int, 1> B5{range<1>{BufferSize}};
+
+  using namespace std::chrono_literals;
+  constexpr auto SleepFor = 1s;
+
+  for (size_t Idx = 1; Idx <= Count; ++Idx) {
+    // This host task should be submitted without hesitation
+    Q.submit([&](handler &CGH) {
+      std::cout << "Submit HT-1" << std::endl;
+
+      auto Acc0 = B0.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      CGH.host_task([=] {
+        std::this_thread::sleep_for(SleepFor);
+        Acc0[0] = 1 * Idx;
+      });
+    });
+
+    Q.submit([&](handler &CGH) {
+      std::cout << "Submit Kernel-1" << std::endl;
+
+      auto Acc0 = B0.get_access<mode::read_write>(CGH);
+
+      CGH.single_task<class Test5_Kernel1>([=] { Acc0[1] = 1 * Idx; });
+    });
+
+    Q.submit([&](handler &CGH) {
+      std::cout << "Submit Kernel-2" << std::endl;
+
+      auto Acc1 = B1.get_access<mode::read_write>(CGH);
+
+      CGH.single_task<class Test5_Kernel2>([=] { Acc1[2] = 1 * Idx; });
+    });
+
+    Q.submit([&](handler &CGH) {
+      std::cout << "Submit HT-2" << std::endl;
+
+      auto Acc2 = B2.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      CGH.host_task([=] {
+        std::this_thread::sleep_for(SleepFor);
+        Acc2[3] = 1 * Idx;
+      });
+    });
+
+    // This host task is going to depend on blocked empty node of the second
+    // host-task (via buffer #0). Still this one should be enqueued.
+    event EHT3 = Q.submit([&](handler &CGH) {
+      std::cout << "Submit HT-3" << std::endl;
+
+      auto Acc0 = B0.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc1 = B1.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc2 = B2.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      CGH.host_task([=] {
+        std::this_thread::sleep_for(SleepFor);
+        Acc0[4] = 1 * Idx;
+        Acc1[4] = 2 * Idx;
+        Acc2[4] = 3 * Idx;
+      });
+    });
+
+    // This host-task only depends on the third host-task via
+    // handler::depends_on(). This one should not hang and should be executed
+    // after host-task #3.
+    Q.submit([&](handler &CGH) {
+      std::cout << "Submit HT-4" << std::endl;
+
+      CGH.depends_on(EHT3);
+
+      auto Acc5 = B5.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      CGH.host_task([=] { Acc5[5] = 1 * Idx; });
+    });
+  }
+
+  Q.wait_and_throw();
+}
+
+int main(int Argc, const char *Argv[]) {
+  size_t Count = 1;
+  if (Argc > 1)
+    Count = std::stoi(Argv[1]);
+
+  test(Count);
+  return 0;
+}
diff --git a/sycl/test-e2e/HostInteropTask/host-task-dependency4.cpp b/sycl/test-e2e/HostInteropTask/host-task-dependency4.cpp
new file mode 100644
index 0000000000000..c14bd2eef4a75
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/host-task-dependency4.cpp
@@ -0,0 +1,30 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+sycl::event submit(sycl::queue &Q, sycl::buffer<int> &B) {
+  return Q.submit([&](sycl::handler &CGH) {
+    auto A = B.template get_access<sycl::access::mode::read_write>(CGH);
+    CGH.host_task([=]() { (void)A; });
+  });
+}
+
+int main() {
+  sycl::queue Q;
+  int Status = 0;
+  sycl::buffer<int> A{&Status, 1};
+  std::vector<sycl::event> Events;
+
+  Events.push_back(submit(Q, A));
+  Events.push_back(submit(Q, A));
+  Q.submit([&](sycl::handler &CGH) {
+     CGH.depends_on(Events);
+     CGH.host_task([&] { printf("all done\n"); });
+   }).wait_and_throw();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/HostInteropTask/host-task-failure.cpp b/sycl/test-e2e/HostInteropTask/host-task-failure.cpp
new file mode 100644
index 0000000000000..d00e6efefd6b3
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/host-task-failure.cpp
@@ -0,0 +1,56 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 1024;
+
+template <typename T> class Modifier;
+
+template <typename T> class Init;
+
+template <typename DataT>
+void copy(buffer<DataT, 1> &Src, buffer<DataT, 1> &Dst, queue &Q) {
+  Q.submit([&](handler &CGH) {
+    auto SrcA = Src.template get_access<mode::read>(CGH);
+    auto DstA = Dst.template get_access<mode::write>(CGH);
+
+    CGH.host_task([=]() {
+      for (size_t Idx = 0; Idx < SrcA.get_count(); ++Idx)
+        DstA[Idx] = SrcA[Idx];
+    });
+  });
+}
+
+template <typename DataT>
+void init(buffer<DataT, 1> &B1, buffer<DataT, 1> &B2, queue &Q) {
+  Q.submit([&](handler &CGH) {
+    auto Acc1 = B1.template get_access<mode::write>(CGH);
+    auto Acc2 = B2.template get_access<mode::write>(CGH);
+
+    CGH.parallel_for<Init<DataT>>(BUFFER_SIZE, [=](item<1> Id) {
+      Acc1[Id] = -1;
+      Acc2[Id] = -2;
+    });
+  });
+}
+
+void test() {
+  queue Q;
+  buffer<int, 1> Buffer1{BUFFER_SIZE};
+  buffer<int, 1> Buffer2{BUFFER_SIZE};
+
+  init<int>(Buffer1, Buffer2, Q);
+
+  copy(Buffer1, Buffer2, Q);
+}
+
+int main() {
+  test();
+  return 0;
+}
diff --git a/sycl/test-e2e/HostInteropTask/host-task-two-queues.cpp b/sycl/test-e2e/HostInteropTask/host-task-two-queues.cpp
new file mode 100644
index 0000000000000..4fefef6e172c9
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/host-task-two-queues.cpp
@@ -0,0 +1,82 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// TODO: Flaky fail on Level Zero that is why mark as unsupported temporarily.
+// UNSUPPORTED: level_zero
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+namespace S = sycl;
+
+#define WIDTH 5
+#define HEIGHT 5
+
+void test() {
+  auto EH = [](S::exception_list EL) {
+    for (const std::exception_ptr &E : EL) {
+      throw E;
+    }
+  };
+
+  S::queue Q1(EH);
+  S::queue Q2(EH);
+
+  std::vector<int> DataA(WIDTH * HEIGHT, 2);
+  std::vector<int> DataB(WIDTH * HEIGHT, 3);
+  std::vector<int> DataC(WIDTH * HEIGHT, 1);
+
+  S::buffer<int, 2> BufA{DataA.data(), S::range<2>{WIDTH, HEIGHT}};
+  S::buffer<int, 2> BufB{DataB.data(), S::range<2>{WIDTH, HEIGHT}};
+  S::buffer<int, 2> BufC{DataC.data(), S::range<2>{WIDTH, HEIGHT}};
+
+  auto CG1 = [&](S::handler &CGH) {
+    auto AccA = BufA.get_access<S::access::mode::read>(CGH);
+    auto AccB = BufB.get_access<S::access::mode::read>(CGH);
+    auto AccC = BufC.get_access<S::access::mode::read_write>(CGH);
+    auto Kernel = [=](S::nd_item<2> Item) {
+      size_t W = Item.get_global_id(0);
+      size_t H = Item.get_global_id(1);
+      AccC[W][H] += AccA[W][H] * AccB[W][H];
+    };
+    CGH.parallel_for<class K1>(S::nd_range<2>({WIDTH, HEIGHT}, {1, 1}), Kernel);
+  };
+
+  auto CG2 = [&](S::handler &CGH) {
+    auto AccA = BufA.get_access<sycl::access::mode::read>(CGH);
+    auto AccB = BufB.get_access<sycl::access::mode::read>(CGH);
+    auto AccC = BufC.get_access<sycl::access::mode::read_write>(CGH);
+
+    CGH.host_task([=] {
+      for (size_t I = 0; I < WIDTH; ++I)
+        for (size_t J = 0; J < HEIGHT; ++J) {
+          std::cout << "C[" << I << "][" << J << "] = " << AccC[I][J]
+                    << std::endl;
+        }
+    });
+  };
+
+  static const size_t NTIMES = 4;
+
+  for (size_t Idx = 0; Idx < NTIMES; ++Idx) {
+    Q1.submit(CG1);
+    Q2.submit(CG2);
+    Q2.submit(CG1);
+    Q1.submit(CG2);
+  }
+
+  Q1.wait_and_throw();
+  Q2.wait_and_throw();
+
+  for (size_t I = 0; I < WIDTH; ++I)
+    for (size_t J = 0; J < HEIGHT; ++J)
+      assert(DataC[I * HEIGHT + J] == (1 + 2 * 3 * NTIMES * 2));
+}
+
+int main(void) {
+  test();
+  return 0;
+}
diff --git a/sycl/test-e2e/HostInteropTask/host-task.cpp b/sycl/test-e2e/HostInteropTask/host-task.cpp
new file mode 100644
index 0000000000000..c35614bcfdaea
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/host-task.cpp
@@ -0,0 +1,167 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out 1
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 1
+// RUN: %ACC_RUN_PLACEHOLDER %t.out 1
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out 2
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 2
+// RUN: %ACC_RUN_PLACEHOLDER %t.out 2
+
+// RUN: %CPU_RUN_PLACEHOLDER %t.out 3
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 3
+// RUN: %ACC_RUN_PLACEHOLDER %t.out 3
+
+#include <chrono>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 1024;
+
+static auto EH = [](exception_list EL) {
+  for (const std::exception_ptr &E : EL) {
+    throw E;
+  }
+};
+
+template <typename T, bool B> class NameGen;
+
+// Check that a single host-task with a buffer will work
+void test1(queue &Q) {
+  buffer<int, 1> Buffer{BUFFER_SIZE};
+
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buffer.get_access<mode::write>(CGH);
+    CGH.host_task([=] { /* A no-op */ });
+  });
+
+  Q.wait_and_throw();
+}
+
+// Check that a host task after the kernel (deps via buffer) will work
+void test2(queue &Q) {
+  buffer<int, 1> Buffer1{BUFFER_SIZE};
+  buffer<int, 1> Buffer2{BUFFER_SIZE};
+
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buffer1.template get_access<mode::write>(CGH);
+
+    auto Kernel = [=](item<1> Id) { Acc[Id] = 123; };
+    CGH.parallel_for<NameGen<class Test6Init, true>>(Acc.get_count(), Kernel);
+  });
+
+  Q.submit([&](handler &CGH) {
+    auto AccSrc = Buffer1.template get_access<mode::read>(CGH);
+    auto AccDst = Buffer2.template get_access<mode::write>(CGH);
+
+    auto Func = [=] {
+      for (size_t Idx = 0; Idx < AccDst.get_count(); ++Idx)
+        AccDst[Idx] = AccSrc[Idx];
+    };
+    CGH.host_task(Func);
+  });
+
+  {
+    auto Acc = Buffer2.get_access<mode::read>();
+
+    for (size_t Idx = 0; Idx < Acc.get_count(); ++Idx) {
+      std::cout << "Second buffer [" << Idx << "] = " << Acc[Idx] << std::endl;
+      assert(Acc[Idx] == 123);
+    }
+  }
+
+  Q.wait_and_throw();
+}
+
+// Host-task depending on another host-task via both buffers and
+// handler::depends_on() should not hang
+void test3(queue &Q) {
+  static constexpr size_t BufferSize = 10 * 1024;
+
+  buffer<int, 1> B0{range<1>{BufferSize}};
+  buffer<int, 1> B1{range<1>{BufferSize}};
+  buffer<int, 1> B2{range<1>{BufferSize}};
+  buffer<int, 1> B3{range<1>{BufferSize}};
+  buffer<int, 1> B4{range<1>{BufferSize}};
+  buffer<int, 1> B5{range<1>{BufferSize}};
+  buffer<int, 1> B6{range<1>{BufferSize}};
+  buffer<int, 1> B7{range<1>{BufferSize}};
+  buffer<int, 1> B8{range<1>{BufferSize}};
+  buffer<int, 1> B9{range<1>{BufferSize}};
+
+  std::vector<event> Deps;
+
+  static constexpr size_t Count = 10;
+
+  auto Start = std::chrono::steady_clock::now();
+  for (size_t Idx = 0; Idx < Count; ++Idx) {
+    event E = Q.submit([&](handler &CGH) {
+      CGH.depends_on(Deps);
+
+      std::cout << "Submit: " << Idx << std::endl;
+
+      auto Acc0 = B0.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc1 = B1.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc2 = B2.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc3 = B3.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc4 = B4.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc5 = B5.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc6 = B6.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc7 = B7.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc8 = B8.get_access<mode::read_write, target::host_buffer>(CGH);
+      auto Acc9 = B9.get_access<mode::read_write, target::host_buffer>(CGH);
+
+      auto Func = [=] {
+        uint64_t X = 0;
+        X ^= reinterpret_cast<uint64_t>(&Acc0[Idx + 0]);
+        X ^= reinterpret_cast<uint64_t>(&Acc1[Idx + 1]);
+        X ^= reinterpret_cast<uint64_t>(&Acc2[Idx + 2]);
+        X ^= reinterpret_cast<uint64_t>(&Acc3[Idx + 3]);
+        X ^= reinterpret_cast<uint64_t>(&Acc4[Idx + 4]);
+        X ^= reinterpret_cast<uint64_t>(&Acc5[Idx + 5]);
+        X ^= reinterpret_cast<uint64_t>(&Acc6[Idx + 6]);
+        X ^= reinterpret_cast<uint64_t>(&Acc7[Idx + 7]);
+        X ^= reinterpret_cast<uint64_t>(&Acc8[Idx + 8]);
+        X ^= reinterpret_cast<uint64_t>(&Acc9[Idx + 9]);
+      };
+      CGH.host_task(Func);
+    });
+
+    Deps = {E};
+  }
+
+  Q.wait_and_throw();
+  auto End = std::chrono::steady_clock::now();
+
+  using namespace std::chrono_literals;
+  constexpr auto Threshold = 2s;
+
+  assert(End - Start < Threshold && "Host tasks were waiting for too long");
+}
+
+int main(int Argc, const char *Argv[]) {
+  if (Argc < 2)
+    return 1;
+
+  int TestIdx = std::stoi(Argv[1]);
+
+  queue Q(EH);
+  switch (TestIdx) {
+  case 1:
+    test1(Q);
+    break;
+  case 2:
+    test2(Q);
+    break;
+  case 3:
+    test3(Q);
+    break;
+  default:
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/HostInteropTask/interop-task.cpp b/sycl/test-e2e/HostInteropTask/interop-task.cpp
new file mode 100644
index 0000000000000..fc4b36803f915
--- /dev/null
+++ b/sycl/test-e2e/HostInteropTask/interop-task.cpp
@@ -0,0 +1,271 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %threads_lib %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: level_zero, cuda
+// REQUIRES: opencl, opencl_icd
+
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/detail/cl.h>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::access;
+
+static constexpr size_t BUFFER_SIZE = 1024;
+
+template <typename T> class Modifier;
+
+template <typename T> class Init;
+
+template <typename BufferT, typename ValueT>
+void checkBufferValues(BufferT Buffer, ValueT Value) {
+  auto Acc = Buffer.template get_access<mode::read>();
+  for (size_t Idx = 0; Idx < Acc.get_count(); ++Idx) {
+    if (Acc[Idx] != Value) {
+      std::cerr << "buffer[" << Idx << "] = " << Acc[Idx]
+                << ", expected val = " << Value << std::endl;
+      assert(0 && "Invalid data in the buffer");
+    }
+  }
+}
+
+template <typename DataT>
+void copy(buffer<DataT, 1> &Src, buffer<DataT, 1> &Dst, queue &Q) {
+  Q.submit([&](handler &CGH) {
+    auto SrcA = Src.template get_access<mode::read>(CGH);
+    auto DstA = Dst.template get_access<mode::write>(CGH);
+
+    auto Func = [=](interop_handle IH) {
+      auto NativeQ = IH.get_native_queue<backend::opencl>();
+      auto SrcMem = IH.get_native_mem<backend::opencl>(SrcA);
+      auto DstMem = IH.get_native_mem<backend::opencl>(DstA);
+      cl_event Event;
+
+      int RC = clEnqueueCopyBuffer(NativeQ, SrcMem[0], DstMem[0], 0, 0,
+                                   sizeof(DataT) * SrcA.get_count(), 0, nullptr,
+                                   &Event);
+      if (RC != CL_SUCCESS)
+        throw runtime_error("Can't enqueue buffer copy", RC);
+
+      RC = clWaitForEvents(1, &Event);
+
+      if (RC != CL_SUCCESS)
+        throw runtime_error("Can't wait for event on buffer copy", RC);
+
+      if (Q.get_backend() != IH.get_backend())
+        throw runtime_error(
+            "interop_handle::get_backend() returned a wrong value",
+            CL_INVALID_VALUE);
+    };
+    CGH.host_task(Func);
+  });
+}
+
+template <typename DataT> void modify(buffer<DataT, 1> &B, queue &Q) {
+  Q.submit([&](handler &CGH) {
+    auto Acc = B.template get_access<mode::read_write>(CGH);
+
+    auto Kernel = [=](item<1> Id) { Acc[Id] += 1; };
+
+    CGH.parallel_for<Modifier<DataT>>(Acc.get_count(), Kernel);
+  });
+}
+
+template <typename DataT, DataT B1Init, DataT B2Init>
+void init(buffer<DataT, 1> &B1, buffer<DataT, 1> &B2, queue &Q) {
+  Q.submit([&](handler &CGH) {
+    auto Acc1 = B1.template get_access<mode::write>(CGH);
+    auto Acc2 = B2.template get_access<mode::write>(CGH);
+
+    CGH.parallel_for<Init<DataT>>(BUFFER_SIZE, [=](item<1> Id) {
+      Acc1[Id] = -1;
+      Acc2[Id] = -2;
+    });
+  });
+}
+
+// A test that uses OpenCL interop to copy data from buffer A to buffer B, by
+// getting cl_mem objects and calling the clEnqueueBufferCopy. Then run a SYCL
+// kernel that modifies the data in place for B, e.g. increment one, then copy
+// back to buffer A. Run it on a loop, to ensure the dependencies and the
+// reference counting of the objects is not leaked.
+void test1(queue &Q) {
+  static constexpr int COUNT = 4;
+  buffer<int, 1> Buffer1{BUFFER_SIZE};
+  buffer<int, 1> Buffer2{BUFFER_SIZE};
+
+  // init the buffer with a'priori invalid data
+  init<int, -1, -2>(Buffer1, Buffer2, Q);
+
+  // Repeat a couple of times
+  for (size_t Idx = 0; Idx < COUNT; ++Idx) {
+    copy(Buffer1, Buffer2, Q);
+    modify(Buffer2, Q);
+    copy(Buffer2, Buffer1, Q);
+  }
+
+  checkBufferValues(Buffer1, COUNT - 1);
+  checkBufferValues(Buffer2, COUNT - 1);
+}
+
+// Same as above, but performing each command group on a separate SYCL queue
+// (on the same or different devices). This ensures the dependency tracking
+// works well but also there is no accidental side effects on other queues.
+void test2(queue &Q) {
+  static constexpr int COUNT = 4;
+  buffer<int, 1> Buffer1{BUFFER_SIZE};
+  buffer<int, 1> Buffer2{BUFFER_SIZE};
+
+  // init the buffer with a'priori invalid data
+  init<int, -1, -2>(Buffer1, Buffer2, Q);
+
+  // Repeat a couple of times
+  for (size_t Idx = 0; Idx < COUNT; ++Idx) {
+    copy(Buffer1, Buffer2, Q);
+    modify(Buffer2, Q);
+    copy(Buffer2, Buffer1, Q);
+  }
+  checkBufferValues(Buffer1, COUNT - 1);
+  checkBufferValues(Buffer2, COUNT - 1);
+}
+
+// Same as above but with queue constructed out of context
+void test2_1(queue &Q) {
+  static constexpr int COUNT = 4;
+  buffer<int, 1> Buffer1{BUFFER_SIZE};
+  buffer<int, 1> Buffer2{BUFFER_SIZE};
+
+  auto Device = default_selector().select_device();
+  auto Context = context(Device);
+  // init the buffer with a'priori invalid data
+  init<int, -1, -2>(Buffer1, Buffer2, Q);
+
+  // Repeat a couple of times
+  for (size_t Idx = 0; Idx < COUNT; ++Idx) {
+    copy(Buffer1, Buffer2, Q);
+    modify(Buffer2, Q);
+    copy(Buffer2, Buffer1, Q);
+  }
+  checkBufferValues(Buffer1, COUNT - 1);
+  checkBufferValues(Buffer2, COUNT - 1);
+}
+
+// A test that does a clEnqueueWait inside the interop scope, for an event
+// captured outside the command group. The OpenCL event can be set after the
+// command group finishes. Must not deadlock according to implementation and
+// proposal
+void test3(queue &Q) {
+  // Want some large buffer for operation to take long
+  buffer<int, 1> Buffer{BUFFER_SIZE * 128};
+
+  event Event = Q.submit([&](handler &CGH) {
+    auto Acc1 = Buffer.get_access<mode::write>(CGH);
+
+    CGH.parallel_for<class Init3>(BUFFER_SIZE,
+                                  [=](item<1> Id) { Acc1[Id] = 123; });
+  });
+
+  Q.submit([&](handler &CGH) {
+    auto Func = [=](interop_handle IH) {
+      std::vector<cl_event> Ev = get_native<backend::opencl>(Event);
+
+      int RC = clWaitForEvents(1, Ev.data());
+      if (RC != CL_SUCCESS)
+        throw runtime_error("Can't wait for events", RC);
+    };
+    CGH.host_task(Func);
+  });
+}
+
+// Check that a single host-interop-task with a buffer will work
+void test4(queue &Q) {
+  buffer<int, 1> Buffer{BUFFER_SIZE};
+
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buffer.get_access<mode::write>(CGH);
+    auto Func = [=](interop_handle IH) { /*A no-op */ };
+    CGH.host_task(Func);
+  });
+}
+
+void test5(queue &Q) {
+  buffer<int, 1> Buffer1{BUFFER_SIZE};
+  buffer<int, 1> Buffer2{BUFFER_SIZE};
+
+  Q.submit([&](handler &CGH) {
+    auto Acc = Buffer1.template get_access<mode::write>(CGH);
+
+    auto Kernel = [=](item<1> Id) { Acc[Id] = 123; };
+    CGH.parallel_for<class Test5Init>(Acc.get_count(), Kernel);
+  });
+
+  copy(Buffer1, Buffer2, Q);
+
+  checkBufferValues(Buffer2, static_cast<int>(123));
+}
+
+// The test checks that placeholder accessors are correctly handled,
+// when properly registered in the command group.
+// It also checks that an exception is thrown if the placeholder accessor
+// is not registered.
+void test6(queue &Q) {
+  // Placeholder accessor that is properly registered in CGH.
+  try {
+    size_t size = 1;
+    buffer<int, 1> Buf{size};
+    accessor<int, 1, mode::write, target::device, access::placeholder::true_t>
+        PHAcc(Buf);
+    Q.submit([&](sycl::handler &CGH) {
+      CGH.require(PHAcc);
+      CGH.host_task([=](interop_handle IH) { (void)IH.get_native_mem(PHAcc); });
+    });
+    Q.wait_and_throw();
+  } catch (sycl::exception &E) {
+    std::cerr << "Unexpected exception caught: " << E.what();
+    assert(!"Unexpected exception caught");
+  }
+
+  // Placeholder accessor that is NOT registered in CGH.
+  try {
+    size_t size = 1;
+    buffer<int, 1> Buf{size};
+    accessor<int, 1, mode::write, target::device, access::placeholder::true_t>
+        PHAcc(Buf);
+    Q.submit([&](sycl::handler &CGH) {
+      auto Func = [=](interop_handle IH) { (void)IH.get_native_mem(PHAcc); };
+      CGH.host_task(Func);
+    });
+    Q.wait_and_throw();
+    assert(!"Expected exception was not caught");
+  } catch (sycl::exception &E) {
+    assert(std::string(E.what()).find("Invalid memory object") !=
+               std::string::npos &&
+           "Unexpected error was caught!");
+  }
+}
+
+void tests(queue &Q) {
+  test1(Q);
+  test2(Q);
+  test2_1(Q);
+  test3(Q);
+  test4(Q);
+  test5(Q);
+  test6(Q);
+}
+
+int main() {
+  queue Q([](sycl::exception_list ExceptionList) {
+    if (ExceptionList.size() != 1) {
+      std::cerr << "Should be one exception in exception list" << std::endl;
+      std::abort();
+    }
+    std::rethrow_exception(*ExceptionList.begin());
+  });
+  tests(Q);
+  tests(Q);
+  std::cout << "Test PASSED" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_bad_opcode.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_bad_opcode.cpp
new file mode 100644
index 0000000000000..d05df68147959
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_bad_opcode.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "movi (M1_NM, 16) tmp1(0,1)<1>  tmp2(0,0)\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_bad_operand_syntax.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_bad_operand_syntax.cpp
new file mode 100644
index 0000000000000..594a860eca359
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_bad_operand_syntax.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "mov (M1_NM, 16) tmp1(0,1)<1>:f tmp2(0,0)<1;1,0>\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_duplicate_label.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_duplicate_label.cpp
new file mode 100644
index 0000000000000..bf46018c30c9d
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_duplicate_label.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "check_label0:\ncheck_label0:\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_illegal_exec_size.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_illegal_exec_size.cpp
new file mode 100644
index 0000000000000..1cb830bc8fd84
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_illegal_exec_size.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "mov (M1_NM, 6) tmp1(0,1)<1>  tmp2(0,0)<1;1,0>\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_missing_label.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_missing_label.cpp
new file mode 100644
index 0000000000000..579bd8fc6e1a1
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_missing_label.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "goto (M1, 16) check_label0\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_missing_region.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_missing_region.cpp
new file mode 100644
index 0000000000000..dcef81bc9bded
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_missing_region.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "mov (M1_NM, 16) tmp1(0,1)<1>  tmp2(0,0)\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_simple.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_simple.cpp
new file mode 100644
index 0000000000000..571ed0e7b0870
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_simple.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "@@\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_undefined_decl.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_undefined_decl.cpp
new file mode 100644
index 0000000000000..79393cb3beab1
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_undefined_decl.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "mov (M1_NM, 16) tmp1(0,1)<1>  my_super_var(0,0)\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_undefined_pred.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_undefined_pred.cpp
new file mode 100644
index 0000000000000..1653dbba00bb9
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_undefined_pred.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       "cmp.lt (M1_NM, 16) P3 tmp1(0,0)<0;1,0> 0x3:ud\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/Negative/asm_wrong_declare.cpp b/sycl/test-e2e/InlineAsm/Negative/asm_wrong_declare.cpp
new file mode 100644
index 0000000000000..ff62245dbfe11
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/Negative/asm_wrong_declare.cpp
@@ -0,0 +1,30 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "../include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+struct KernelFunctor {
+  KernelFunctor() {}
+
+  void operator()(sycl::handler &cgh) {
+    cgh.parallel_for<KernelFunctor>(
+        sycl::range<1>{16},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(".decl tmp1 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl tmp2 v_type=G type=d num_elts=16 align=GRF\n"
+                       ".decl TMP v_type=G type=f\n");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor f;
+  launchInlineASMTest(f, /* sg size */ true, /* exception expected */ true);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_16_empty.cpp b/sycl/test-e2e/InlineAsm/asm_16_empty.cpp
new file mode 100644
index 0000000000000..1ba0581c6c743
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_16_empty.cpp
@@ -0,0 +1,40 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          C[wiID] = 43;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 43))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_16_matrix_mult.cpp b/sycl/test-e2e/InlineAsm/asm_16_matrix_mult.cpp
new file mode 100644
index 0000000000000..ab06caebb5413
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_16_matrix_mult.cpp
@@ -0,0 +1,43 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          volatile int output = 0;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("mov (M1,16) %0(0,0)<1> 0x7:d" : "=rw"(output));
+#else
+          output = 7;
+#endif
+          C[wiID] = output;
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 7))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_16_no_input_int.cpp b/sycl/test-e2e/InlineAsm/asm_16_no_input_int.cpp
new file mode 100644
index 0000000000000..ab06caebb5413
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_16_no_input_int.cpp
@@ -0,0 +1,43 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          volatile int output = 0;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("mov (M1,16) %0(0,0)<1> 0x7:d" : "=rw"(output));
+#else
+          output = 7;
+#endif
+          C[wiID] = output;
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 7))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_16_no_opts.cpp b/sycl/test-e2e/InlineAsm/asm_16_no_opts.cpp
new file mode 100644
index 0000000000000..493fd69c98bd4
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_16_no_opts.cpp
@@ -0,0 +1,45 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          for (int i = 0; i < 10; ++i) {
+#if defined(__SYCL_DEVICE_ONLY__)
+            asm("fence_sw");
+            C[wiID] += i;
+
+#else
+            C[wiID] += i;
+#endif
+          }
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 45))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_8_empty.cpp b/sycl/test-e2e/InlineAsm/asm_8_empty.cpp
new file mode 100644
index 0000000000000..7a979aaa91372
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_8_empty.cpp
@@ -0,0 +1,40 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(8)]] {
+          C[wiID] = 43;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("");
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f, true, false, {8}))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 43))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_8_no_input_int.cpp b/sycl/test-e2e/InlineAsm/asm_8_no_input_int.cpp
new file mode 100644
index 0000000000000..e63b2477be648
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_8_no_input_int.cpp
@@ -0,0 +1,43 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(8)]] {
+          volatile int output = 0;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("mov (M1,8) %0(0,0)<1> 0x7:d" : "=rw"(output));
+#else
+          output = 7;
+#endif
+          C[wiID] = output;
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f, true, false, {8}))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 7))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_arbitrary_ops_order.cpp b/sycl/test-e2e/InlineAsm/asm_arbitrary_ops_order.cpp
new file mode 100644
index 0000000000000..9f7d134cb45c1
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_arbitrary_ops_order.cpp
@@ -0,0 +1,71 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 3>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2,
+                const std::vector<T> &input3)
+      : WithInputBuffers<T, 3>(input1, input2, input3), WithOutputBuffer<T>(
+                                                            input1.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getInputBuffer(1).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto C =
+        this->getInputBuffer(2).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto D =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("mad (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0> %2(0, 0)<1;1,0> %3(0, "
+              "0)<1;1,0>"
+              : "=rw"(D[wiID])
+              : "rw"(A[wiID]), "rw"(B[wiID]), "rw"(C[wiID]));
+#else
+          D[wiID] = A[wiID] * B[wiID] + C[wiID];
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> inputA(DEFAULT_PROBLEM_SIZE),
+      inputB(DEFAULT_PROBLEM_SIZE), inputC(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    inputA[i] = i;
+    inputB[i] = i;
+    inputC[i] = DEFAULT_PROBLEM_SIZE - i * i;
+  }
+
+  KernelFunctor<> f(inputA, inputB, inputC);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &D = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (D[i] != inputA[i] * inputB[i] + inputC[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << D[i] << " != " << inputA[i] * inputB[i] + inputC[i] << "\n";
+      return 1;
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_decl_in_scope.cpp b/sycl/test-e2e/InlineAsm/asm_decl_in_scope.cpp
new file mode 100644
index 0000000000000..c5018e4063be5
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_decl_in_scope.cpp
@@ -0,0 +1,74 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 2>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2)
+      : WithInputBuffers<T, 2>(input1, input2), WithOutputBuffer<T>(
+                                                    input1.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getInputBuffer(1).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+    // declaration of temp within and outside the scope
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("{\n"
+              ".decl temp v_type=G type=d num_elts=16 align=GRF\n"
+              "mov (M1, 16) temp(0, 0)<1> %1(0, 0)<1;1,0>\n"
+              "mov (M1, 16) %0(0, 0)<1>  temp(0, 0)<1;1,0>\n"
+              "}\n"
+              ".decl temp v_type=G type=d num_elts=16 align=GRF\n"
+              "mul (M1, 16) temp(0, 0)<1> %2(0, 0)<1;1,0> %0(0, 0)<1;1,0>\n"
+              "mov (M1, 16) %0(0, 0)<1>  temp(0, 0)<1;1,0>\n"
+              : "+rw"(C[wiID])
+              : "rw"(A[wiID]), "rw"(B[wiID]));
+#else
+          C[wiID] = A[wiID];
+          C[wiID] *= B[wiID];
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> inputA(DEFAULT_PROBLEM_SIZE),
+      inputB(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    inputA[i] = i;
+    inputB[i] = 2;
+  }
+
+  KernelFunctor<> f(inputA, inputB);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &C = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (C[i] != inputA[i] * inputB[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << C[i] << " != " << inputA[i] * inputB[i] << "\n";
+      return 1;
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_float_add.cpp b/sycl/test-e2e/InlineAsm/asm_float_add.cpp
new file mode 100644
index 0000000000000..e8c5425fa06ab
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_float_add.cpp
@@ -0,0 +1,67 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <cmath>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_double;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 2>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2)
+      : WithInputBuffers<T, 2>(input1, input2), WithOutputBuffer<T>(
+                                                    input1.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getInputBuffer(1).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("add (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0> %2(0, 0)<1;1,0>"
+              : "=rw"(C[wiID])
+              : "rw"(A[wiID]), "rw"(B[wiID]));
+#else
+          C[wiID] = A[wiID] + B[wiID];
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> inputA(DEFAULT_PROBLEM_SIZE),
+      inputB(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    inputA[i] = (double)1 / std::pow(2, i);
+    inputB[i] = (double)2 / std::pow(2, i);
+  }
+
+  KernelFunctor<> f(inputA, inputB);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &C = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    if (C[i] != inputA[i] + inputB[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << C[i] << " != " << inputA[i] + inputB[i] << "\n";
+      return 1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_float_imm_arg.cpp b/sycl/test-e2e/InlineAsm/asm_float_imm_arg.cpp
new file mode 100644
index 0000000000000..64a8b7934c418
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_float_imm_arg.cpp
@@ -0,0 +1,60 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <cmath>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+constexpr double IMM_ARGUMENT = 0.5;
+using dataType = sycl::opencl::cl_double;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 1>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input)
+      : WithInputBuffers<T, 1>(input), WithOutputBuffer<T>(input.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("mul (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0> %2"
+              : "=rw"(B[wiID])
+              : "rw"(A[wiID]), "i"(IMM_ARGUMENT));
+#else
+          B[wiID] = A[wiID] * IMM_ARGUMENT;
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> input(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++)
+    input[i] = (double)1 / std::pow(2, i);
+
+  KernelFunctor<> f(input);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &B = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (B[i] != input[i] * IMM_ARGUMENT) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << B[i] << " != " << input[i] * IMM_ARGUMENT << "\n";
+      return 1;
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_float_neg.cpp b/sycl/test-e2e/InlineAsm/asm_float_neg.cpp
new file mode 100644
index 0000000000000..b5b6d8b077992
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_float_neg.cpp
@@ -0,0 +1,61 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_float;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 1>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input)
+      : WithInputBuffers<T, 1>(input), WithOutputBuffer<T>(input.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer().template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("mov (M1, 16) %0(0, 0)<1> (-)%1(0, 0)<1;1,0>"
+              : "=rw"(B[wiID])
+              : "rw"(A[wiID]));
+#else
+          B[wiID] = -A[wiID];
+#endif
+        });
+  }
+
+  size_t problem_size = 0;
+};
+
+int main() {
+  std::vector<dataType> input(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++)
+    input[i] = 1.0 / i;
+
+  KernelFunctor<> f(input);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &R = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (R[i] != -input[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << R[i] << " != " << -input[i] << "\n";
+      return 1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_if.cpp b/sycl/test-e2e/InlineAsm/asm_if.cpp
new file mode 100644
index 0000000000000..f8e0239583ebe
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_if.cpp
@@ -0,0 +1,52 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+using DataType = sycl::opencl::cl_int;
+
+template <typename T = DataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t ProblemSize) : WithOutputBuffer<T>(ProblemSize) {}
+
+  void operator()(sycl::handler &CGH) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            CGH);
+    bool switchField = false;
+    CGH.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          int Output = 0;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("{\n"
+                       ".decl P1 v_type=P num_elts=1\n"
+                       "cmp.eq (M1_NM, 16) P1 %1(0,0)<0;1,0> 0x0:b\n"
+                       "(P1) sel (M1_NM, 16) %0(0,0)<1> 0x7:d 0x8:d"
+                       "}\n"
+                       : "=rw"(Output)
+                       : "rw"(switchField));
+
+#else
+          if (switchField == false)
+            Output = 7;
+          else
+            Output = 8;
+#endif
+          C[wiID] = Output;
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> Functor(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(Functor))
+    return 0;
+
+  if (verify_all_the_same(Functor.getOutputBufferData(), 7))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_imm_arg.cpp b/sycl/test-e2e/InlineAsm/asm_imm_arg.cpp
new file mode 100644
index 0000000000000..5712c40dcb409
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_imm_arg.cpp
@@ -0,0 +1,59 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+constexpr int CONST_ARGUMENT = 0xabc;
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 1>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input)
+      : WithInputBuffers<T, 1>(input), WithOutputBuffer<T>(input.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("add (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0> %2"
+              : "=rw"(B[wiID])
+              : "rw"(A[wiID]), "i"(CONST_ARGUMENT));
+#else
+          B[wiID] = A[wiID] + CONST_ARGUMENT;
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> input(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++)
+    input[i] = i;
+
+  KernelFunctor<> f(input);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &B = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (B[i] != input[i] + CONST_ARGUMENT) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << B[i] << " != " << input[i] + CONST_ARGUMENT << "\n";
+      return 1;
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_loop.cpp b/sycl/test-e2e/InlineAsm/asm_loop.cpp
new file mode 100644
index 0000000000000..af859d1518416
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_loop.cpp
@@ -0,0 +1,83 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <cmath>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using DataType = sycl::opencl::cl_int;
+
+template <typename T = DataType>
+struct KernelFunctor : WithInputBuffers<T, 2>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2)
+      : WithInputBuffers<T, 2>(input1, input2), WithOutputBuffer<T>(
+                                                    input1.size()) {}
+
+  void operator()(sycl::handler &CGH) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            CGH);
+    auto B =
+        this->getInputBuffer(1).template get_access<sycl::access::mode::read>(
+            CGH);
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            CGH);
+    CGH.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("{\n"
+                       ".decl P1 v_type=P num_elts=16\n"
+                       ".decl P2 v_type=P num_elts=16\n"
+                       ".decl temp v_type=G type=d num_elts=16 align=dword\n"
+                       "mov (M1, 16) %0(0, 0)<1> 0x0:d\n"
+                       "cmp.le (M1, 16) P1 %1(0,0)<1;1,0> 0x0:d\n"
+                       "(P1) goto (M1, 16) label0%=\n"
+                       "mov (M1, 16) temp(0,0)<1> 0x0:d\n"
+                       "label1%=:\n"
+                       "add (M1, 16) temp(0,0)<1> temp(0,0)<1;1,0> 0x1:w\n"
+                       "add (M1, 16) %0(0,0)<1> %0(0,0)<1;1,0> %2(0,0)<1;1,0>\n"
+                       "cmp.lt (M1, 16) P2 temp(0,0)<0;16,1> %1(0,0)<0;16,1>\n"
+                       "(P2) goto (M1, 16) label1%=\n"
+                       "label0%=:"
+                       "}\n"
+                       : "+rw"(C[wiID])
+                       : "rw"(A[wiID]), "rw"(B[wiID]));
+#else
+          C[wiID] = 0;
+          for (int i = 0; i < A[wiID]; ++i) {
+            C[wiID] = C[wiID] + B[wiID];
+          }
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<DataType> InputA(DEFAULT_PROBLEM_SIZE),
+      InputB(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    InputA[i] = i;
+    InputB[i] = 2 * i;
+  }
+
+  KernelFunctor<> Functor(InputA, InputB);
+  if (!launchInlineASMTest(Functor))
+    return 0;
+
+  auto &C = Functor.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    if (C[i] != InputA[i] * InputB[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << C[i] << " != " << InputA[i] * InputB[i] << "\n";
+      return 1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_mul.cpp b/sycl/test-e2e/InlineAsm/asm_mul.cpp
new file mode 100644
index 0000000000000..8c97737072f1e
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_mul.cpp
@@ -0,0 +1,65 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 2>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2)
+      : WithInputBuffers<T, 2>(input1, input2), WithOutputBuffer<T>(
+                                                    input1.size()) {}
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getInputBuffer(1).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("mul (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0> %2(0, 0)<1;1,0>"
+              : "=rw"(C[wiID])
+              : "rw"(A[wiID]), "rw"(B[wiID]));
+#else
+          C[wiID] = A[wiID] * B[wiID];
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> inputA(DEFAULT_PROBLEM_SIZE),
+      inputB(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    inputA[i] = i;
+    inputB[i] = DEFAULT_PROBLEM_SIZE - i;
+  }
+
+  KernelFunctor<> f(inputA, inputB);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &C = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (C[i] != inputA[i] * inputB[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << C[i] << " != " << inputA[i] * inputB[i] << "\n";
+      return 1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_multiple_instructions.cpp b/sycl/test-e2e/InlineAsm/asm_multiple_instructions.cpp
new file mode 100644
index 0000000000000..150d7031abedc
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_multiple_instructions.cpp
@@ -0,0 +1,96 @@
+// UNSUPPORTED: cuda || hip
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl -DTO_PASS %s -o %t.out.pass
+// RUN: %GPU_RUN_PLACEHOLDER %t.out.pass
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// The test is failing when writing directly to output buffer.
+// If temporary variable is used (see TO_PASS mode) the test succeeded.
+// XFAIL: gpu
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 3>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2,
+                const std::vector<T> &input3)
+      : WithInputBuffers<T, 3>(input1, input2, input3), WithOutputBuffer<T>(
+                                                            input1.size()) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A = this->getInputBuffer(0)
+                 .template get_access<sycl::access::mode::read_write>(cgh);
+    auto B =
+        this->getInputBuffer(1).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto C =
+        this->getInputBuffer(2).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto D =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(TO_PASS)
+          // The code below passing verification
+          volatile int output = -1;
+
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(
+              "{\n"
+              "add (M1, 16) %1(0, 0)<1> %1(0, 0)<1;1,0> %2(0, 0)<1;1,0>\n"
+              "add (M1, 16) %1(0, 0)<1> %1(0, 0)<1;1,0> %3(0, 0)<1;1,0>\n"
+              "mov (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0>\n"
+              "}\n"
+              : "=rw"(output), "+rw"(A[wiID])
+              : "rw"(B[wiID]), "rw"(C[wiID]));
+#else
+          A[wiID] += B[wiID];
+          A[wiID] += C[wiID];
+          output = A[wiID];
+#endif
+          D[wiID] = output;
+#else
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile(
+              "{\n"
+              "add (M1, 16) %1(0, 0)<1> %1(0, 0)<1;1,0> %2(0, 0)<1;1,0>\n"
+              "add (M1, 16) %1(0, 0)<1> %1(0, 0)<1;1,0> %3(0, 0)<1;1,0>\n"
+              "mov (M1, 16) %0(0, 0)<1> %1(0, 0)<1;1,0>\n"
+              "}\n"
+              : "=rw"(D[wiID]), "+rw"(A[wiID])
+              : "rw"(B[wiID]), "rw"(C[wiID]));
+#else
+          A[wiID] += B[wiID];
+          A[wiID] += C[wiID];
+          D[wiID] = A[wiID];
+#endif
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> inputA(DEFAULT_PROBLEM_SIZE),
+      inputB(DEFAULT_PROBLEM_SIZE), inputC(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    inputA[i] = inputB[i] = i;
+    inputC[i] = DEFAULT_PROBLEM_SIZE - 2 * i; // A[i] + B[i] + C[i] = LIST_SIZE
+  }
+
+  KernelFunctor<> f(inputA, inputB, inputC);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(),
+                          (dataType)DEFAULT_PROBLEM_SIZE))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_no_operands.cpp b/sycl/test-e2e/InlineAsm/asm_no_operands.cpp
new file mode 100644
index 0000000000000..c9a2c2eb4ba36
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_no_operands.cpp
@@ -0,0 +1,36 @@
+// UNSUPPORTED: cuda
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <sycl/sycl.hpp>
+class no_operands_kernel;
+
+int main() {
+  // Creating SYCL queue
+  sycl::queue Queue;
+  sycl::device Device = Queue.get_device();
+
+  auto Vec = Device.get_info<sycl::info::device::extensions>();
+  if (!isInlineASMSupported(Device) ||
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  // Size of index space for kernel
+  sycl::range<1> NumOfWorkItems{16};
+
+  // Submitting command group(work) to queue
+  Queue.submit([&](sycl::handler &cgh) {
+    // Executing kernel
+    cgh.parallel_for<no_operands_kernel>(
+        NumOfWorkItems,
+        [=](sycl::id<1> WIid) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("barrier");
+#endif
+        });
+  });
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_no_output.cpp b/sycl/test-e2e/InlineAsm/asm_no_output.cpp
new file mode 100644
index 0000000000000..ec90060ee48a1
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_no_output.cpp
@@ -0,0 +1,47 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t problem_size) : WithOutputBuffer<T>(problem_size) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          volatile int local_var = 47;
+          local_var += C[0];
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("{\n"
+                       ".decl temp v_type=G type=w num_elts=8 align=GRF\n"
+                       "mov (M1,16) temp(0, 0)<1> %0(0,0)<1;1,0>\n"
+                       "}\n" ::"rw"(local_var));
+#else
+          volatile int temp = 0;
+          temp = local_var;
+#endif
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> f(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  if (verify_all_the_same(f.getOutputBufferData(), 0))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_plus_mod.cpp b/sycl/test-e2e/InlineAsm/asm_plus_mod.cpp
new file mode 100644
index 0000000000000..d5b6e8163d33b
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_plus_mod.cpp
@@ -0,0 +1,63 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using dataType = sycl::opencl::cl_int;
+
+template <typename T = dataType>
+struct KernelFunctor : WithInputBuffers<T, 1>, WithOutputBuffer<T> {
+  KernelFunctor(const std::vector<T> &input1, const std::vector<T> &input2)
+      : WithInputBuffers<T, 1>(input1), WithOutputBuffer<T>(input2) {}
+
+  void operator()(sycl::handler &cgh) {
+    auto A =
+        this->getInputBuffer(0).template get_access<sycl::access::mode::read>(
+            cgh);
+    auto B =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            cgh);
+
+    cgh.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm("add (M1, 16) %0(0, 0)<1> %0(0, 0)<1;1,0> %1(0, 0)<1;1,0>"
+              : "+rw"(B[wiID])
+              : "rw"(A[wiID]));
+#else
+          B[wiID] += A[wiID];
+#endif
+        });
+  }
+};
+
+int main() {
+  std::vector<dataType> inputA(DEFAULT_PROBLEM_SIZE),
+      inputB(DEFAULT_PROBLEM_SIZE), R(DEFAULT_PROBLEM_SIZE);
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; i++) {
+    inputA[i] = i;
+    inputB[i] = DEFAULT_PROBLEM_SIZE - i;
+    R[i] = inputA[i] + inputB[i];
+  }
+
+  KernelFunctor<> f(inputA, inputB);
+  if (!launchInlineASMTest(f))
+    return 0;
+
+  auto &B = f.getOutputBufferData();
+  for (int i = 0; i < DEFAULT_PROBLEM_SIZE; ++i) {
+    if (B[i] != R[i]) {
+      std::cerr << "At index: " << i << ". ";
+      std::cerr << B[i] << " != " << R[i] << "\n";
+      return 1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/asm_switch.cpp b/sycl/test-e2e/InlineAsm/asm_switch.cpp
new file mode 100644
index 0000000000000..4b4ab150acffd
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/asm_switch.cpp
@@ -0,0 +1,72 @@
+// UNSUPPORTED: cuda || hip_nvidia
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <sycl/sycl.hpp>
+
+using DataType = sycl::opencl::cl_int;
+
+template <typename T = DataType> struct KernelFunctor : WithOutputBuffer<T> {
+  KernelFunctor(size_t ProblemSize) : WithOutputBuffer<T>(ProblemSize) {}
+
+  void operator()(sycl::handler &CGH) {
+    auto C =
+        this->getOutputBuffer().template get_access<sycl::access::mode::write>(
+            CGH);
+    int switchField = 2;
+    CGH.parallel_for<KernelFunctor<T>>(
+        sycl::range<1>{this->getOutputBufferSize()},
+        [=](sycl::id<1> wiID) [[intel::reqd_sub_group_size(16)]] {
+          int Output = 0;
+#if defined(__SYCL_DEVICE_ONLY__)
+          asm volatile("{\n"
+                       ".decl P1 v_type=P num_elts=1\n"
+                       ".decl P2 v_type=P num_elts=1\n"
+                       ".decl P3 v_type=P num_elts=1\n"
+                       "cmp.ne (M1_NM, 16) P1 %1(0,0)<0;1,0> 0x0:d\n"
+                       "(P1) goto (M1, 1) label0%=\n"
+                       "mov (M1, 8) %0(0,0)<1> 0x9:d\n"
+                       "(P1) goto (M1, 1) label0%=\n"
+                       "label0%=:\n"
+                       "cmp.ne (M1_NM, 16) P2 %1(0,0)<0;1,0> 0x1:d\n"
+                       "(P2) goto (M1, 1) label1%=\n"
+                       "mov (M1, 8) %0(0,0)<1> 0x8:d\n"
+                       "label1%=:\n"
+                       "cmp.ne (M1_NM, 16) P3 %1(0,0)<0;1,0> 0x2:d\n"
+                       "(P3) goto (M1, 1) label2%=\n"
+                       "mov (M1, 16) %0(0,0)<1> 0x7:d\n"
+                       "label2%=:"
+                       "}\n"
+                       : "=rw"(Output)
+                       : "rw"(switchField));
+
+#else
+          switch (switchField) {
+          case 0:
+            Output = 9;
+            break;
+          case 1:
+            Output = 8;
+            break;
+          case 2:
+            Output = 7;
+            break;
+          }
+#endif
+          C[wiID] = Output;
+        });
+  }
+};
+
+int main() {
+  KernelFunctor<> Functor(DEFAULT_PROBLEM_SIZE);
+  if (!launchInlineASMTest(Functor))
+    return 0;
+
+  if (verify_all_the_same(Functor.getOutputBufferData(), 7))
+    return 0;
+
+  return 1;
+}
diff --git a/sycl/test-e2e/InlineAsm/include/asmhelper.h b/sycl/test-e2e/InlineAsm/include/asmhelper.h
new file mode 100644
index 0000000000000..f96d056dcfec7
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/include/asmhelper.h
@@ -0,0 +1,160 @@
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <memory>
+#include <vector>
+
+constexpr const size_t DEFAULT_PROBLEM_SIZE = 16;
+
+template <typename T> struct WithOutputBuffer {
+  WithOutputBuffer(size_t size) {
+    _output_buffer_data.resize(size);
+    _output_buffer.reset(new sycl::buffer<T>(_output_buffer_data.data(),
+                                             _output_buffer_data.size()));
+  }
+
+  WithOutputBuffer(const std::vector<T> &data) {
+    _output_buffer_data = data;
+    _output_buffer.reset(new sycl::buffer<T>(_output_buffer_data.data(),
+                                             _output_buffer_data.size()));
+  }
+
+  const std::vector<T> &getOutputBufferData() {
+    // We cannoe access the data until the buffer is still alive
+    _output_buffer.reset();
+    return _output_buffer_data;
+  }
+
+  size_t getOutputBufferSize() const { return _output_buffer_data.size(); }
+
+protected:
+  sycl::buffer<T> &getOutputBuffer() { return *_output_buffer; }
+
+  // Functor is being passed by-copy into sycl::queue::submit and destroyed
+  // one more time in there. We need to make sure that buffer is only released
+  // once.
+  std::shared_ptr<sycl::buffer<T>> _output_buffer = nullptr;
+  std::vector<T> _output_buffer_data;
+};
+
+template <typename T, size_t N> struct WithInputBuffers {
+
+  template <typename... Args> WithInputBuffers(Args... inputs) {
+    static_assert(sizeof...(Args) == N,
+                  "All input buffers must be initialized");
+    constructorHelper<0>(inputs...);
+  }
+
+  sycl::buffer<T> &getInputBuffer(size_t i = 0) { return *_input_buffers[i]; }
+
+protected:
+  std::shared_ptr<sycl::buffer<T>> _input_buffers[N] = {nullptr};
+  std::vector<T> _input_buffers_data[N];
+
+private:
+  template <int Index, typename... Args>
+  void constructorHelper(const std::vector<T> &data, Args... rest) {
+    _input_buffers_data[Index] = data;
+    _input_buffers[Index].reset(new sycl::buffer<T>(
+        _input_buffers_data[Index].data(), _input_buffers_data[Index].size()));
+    _input_buffers[Index]->set_final_data(nullptr);
+    constructorHelper<Index + 1>(rest...);
+  }
+
+  template <int Index> void constructorHelper() {
+    // nothing to do, recursion stop
+  }
+};
+
+bool isInlineASMSupported(sycl::device Device) {
+
+  std::string DriverVersion =
+      Device.get_info<sycl::info::device::driver_version>();
+  std::string DeviceVendorName = Device.get_info<sycl::info::device::vendor>();
+  // TODO: query for some extension/capability/whatever once interface is
+  // defined
+  if (DeviceVendorName.find("Intel") == std::string::npos)
+    return false;
+
+  return true;
+}
+
+auto exception_handler = [](sycl::exception_list exceptions) {
+  for (std::exception_ptr const &e : exceptions) {
+    try {
+      std::rethrow_exception(e);
+    } catch (sycl::exception const &e) {
+      std::cout << "Caught asynchronous SYCL exception:\n"
+                << e.what() << std::endl;
+    }
+  }
+};
+
+template <typename F>
+bool launchInlineASMTestImpl(F &f, bool requires_particular_sg_size = true,
+                             std::vector<int> RequiredSGSizes = {}) {
+  sycl::queue deviceQueue(sycl::gpu_selector_v, exception_handler);
+  sycl::device device = deviceQueue.get_device();
+
+  if (!isInlineASMSupported(device)) {
+    std::cout << "Skipping test\n";
+    return false;
+  }
+
+  auto Vec = device.get_info<sycl::info::device::extensions>();
+  if (requires_particular_sg_size &&
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return false;
+  }
+
+  auto sg_sizes = device.get_info<sycl::info::device::sub_group_sizes>();
+  if (std::any_of(RequiredSGSizes.begin(), RequiredSGSizes.end(),
+                  [&](size_t RequiredSGSize) {
+                    return std::find(sg_sizes.begin(), sg_sizes.end(),
+                                     RequiredSGSize) == sg_sizes.end();
+                  })) {
+    std::cout << "Skipping test\n";
+    return false;
+  }
+
+  deviceQueue.submit(f).wait_and_throw();
+
+  return true;
+}
+
+/// checks if device suppots inline asm feature and launches a test
+///
+/// \returns false if test wasn't launched (i.e.was skipped) and true otherwise
+template <typename F>
+bool launchInlineASMTest(F &f, bool requires_particular_sg_size = true,
+                         bool exception_expected = false,
+                         std::vector<int> RequiredSGSizes = {}) {
+  bool result = false;
+  try {
+    result = launchInlineASMTestImpl(f, requires_particular_sg_size,
+                                     RequiredSGSizes);
+  } catch (sycl::exception &e) {
+    std::string what = e.what();
+    if (exception_expected &&
+        what.find("PI_ERROR_BUILD_PROGRAM_FAILURE") != std::string::npos) {
+      std::cout << "Caught expected exception: " << what << std::endl;
+    } else {
+      std::cout << "Caught unexpected exception." << std::endl;
+      throw e;
+    }
+  }
+  return result;
+}
+
+template <typename T>
+bool verify_all_the_same(const std::vector<T> &input, T reference_value) {
+  for (int i = 0; i < input.size(); ++i)
+    if (input[i] != reference_value) {
+      std::cerr << "At index: " << i << " ";
+      std::cerr << input[i] << " != " << reference_value << "\n";
+      return false;
+    }
+  return true;
+}
diff --git a/sycl/test-e2e/InlineAsm/letter_example.cpp b/sycl/test-e2e/InlineAsm/letter_example.cpp
new file mode 100644
index 0000000000000..86843fbf3e1d9
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/letter_example.cpp
@@ -0,0 +1,68 @@
+// UNSUPPORTED: cuda
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+constexpr size_t problem_size = 16;
+
+class kernel_name;
+
+int main() {
+  sycl::queue q;
+  sycl::device Device = q.get_device();
+
+  auto Vec = Device.get_info<sycl::info::device::extensions>();
+  if (!isInlineASMSupported(Device) ||
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  auto ctx = q.get_context();
+  int *a =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  for (int i = 0; i < problem_size; i++) {
+    a[i] = i;
+  }
+  q.submit([&](sycl::handler &cgh) {
+     cgh.parallel_for<kernel_name>(
+         sycl::range<1>(problem_size),
+         [=](sycl::id<1> idx) [[intel::reqd_sub_group_size(16)]] {
+#if defined(__SYCL_DEVICE_ONLY__)
+           int i = idx[0];
+           asm volatile("{\n.decl V52 v_type=G type=d num_elts=16 align=GRF\n"
+                        "svm_gather.4.1 (M1, 16) %0.0 V52.0\n"
+                        "add(M1, 16) V52(0, 0)<1> V52(0, 0)<1; 1, 0> 0x1:w\n"
+                        "svm_scatter.4.1 (M1, 16) %0.0 V52.0\n}"
+                        :
+                        : "rw"(&a[i]));
+#else
+           a[idx[0]]++;
+#endif
+         });
+   }).wait();
+
+  bool currect = true;
+  for (int i = 0; i < problem_size; i++) {
+    if (a[i] != (i + 1)) {
+      currect = false;
+      std::cerr << "error in a[" << i << "]=" << a[i] << "!=" << (i + 1)
+                << std::endl;
+      break;
+    }
+  }
+
+  if (!currect) {
+    std::cerr << "Error" << std::endl;
+    sycl::free(a, ctx);
+    return 1;
+  }
+
+  std::cerr << "Pass" << std::endl;
+  sycl::free(a, ctx);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/malloc_shared_32.cpp b/sycl/test-e2e/InlineAsm/malloc_shared_32.cpp
new file mode 100644
index 0000000000000..20c5dd51f7c09
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/malloc_shared_32.cpp
@@ -0,0 +1,95 @@
+// UNSUPPORTED: cuda
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+constexpr size_t problem_size = 32;
+
+class kernel_name;
+
+int main() {
+  sycl::queue q;
+
+  sycl::device Device = q.get_device();
+
+  auto Vec = Device.get_info<sycl::info::device::extensions>();
+  if (!isInlineASMSupported(Device) ||
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  auto ctx = q.get_context();
+  int *a =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  int *b =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  int *c =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  for (int i = 0; i < problem_size; i++) {
+    b[i] = -10;
+    a[i] = i;
+    c[i] = i;
+  }
+
+  q.submit([&](sycl::handler &cgh) {
+     cgh.parallel_for<kernel_name>(
+         sycl::range<1>(problem_size),
+         [=](sycl::id<1> idx) [[intel::reqd_sub_group_size(32)]] {
+           int i = idx[0];
+#if defined(__SYCL_DEVICE_ONLY__)
+           asm volatile(R"a(
+    {
+        .decl V52 v_type=G type=d num_elts=16 align=GRF
+        .decl V53 v_type=G type=d num_elts=16 align=GRF
+        .decl V54 v_type=G type=d num_elts=16 align=GRF
+        .decl V55 v_type=G type=d num_elts=16 align=GRF
+        .decl V56 v_type=G type=d num_elts=16 align=GRF
+        .decl V57 v_type=G type=d num_elts=16 align=GRF
+        svm_gather.4.1 (M1, 16) %2.0 V54.0
+        svm_gather.4.1 (M1, 16) %3.0 V55.0
+        svm_gather.4.1 (M1, 16) %4.0 V56.0
+        svm_gather.4.1 (M1, 16) %5.0 V57.0
+        mul (M1, 16) V52(0,0)<1> V54(0,0)<1;1,0> V56(0,0)<1;1,0>
+        mul (M1, 16) V53(0,0)<1> V55(0,0)<1;1,0> V57(0,0)<1;1,0>
+        svm_scatter.4.1 (M1, 16) %0.0 V52.0
+        svm_scatter.4.1 (M1, 16) %1.0 V53.0
+    }
+    )a" ::"rw"(&b[i]),
+                        "rw"(&b[i] + 16), "rw"(&a[i]), "rw"(&a[i] + 16),
+                        "rw"(&c[i]), "rw"(&c[i] + 16));
+#else
+           b[i] = a[i] * c[i];
+#endif
+         });
+   }).wait();
+
+  bool currect = true;
+  for (int i = 0; i < problem_size; i++) {
+    if (b[i] != a[i] * c[i]) {
+      currect = false;
+      std::cerr << "error in a[" << i << "]=" << b[i] << "!=" << a[i] * c[i]
+                << std::endl;
+      break;
+    }
+  }
+
+  if (!currect) {
+    std::cerr << "Error" << std::endl;
+    sycl::free(a, ctx);
+    sycl::free(b, ctx);
+    sycl::free(c, ctx);
+    return 1;
+  }
+
+  std::cerr << "Pass" << std::endl;
+  sycl::free(a, ctx);
+  sycl::free(b, ctx);
+  sycl::free(c, ctx);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/malloc_shared_in_out_dif.cpp b/sycl/test-e2e/InlineAsm/malloc_shared_in_out_dif.cpp
new file mode 100644
index 0000000000000..802d27b4c8341
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/malloc_shared_in_out_dif.cpp
@@ -0,0 +1,75 @@
+// UNSUPPORTED: cuda
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+constexpr size_t problem_size = 100;
+
+class kernel_name;
+
+int main() {
+  sycl::queue q;
+
+  sycl::device Device = q.get_device();
+
+  auto Vec = Device.get_info<sycl::info::device::extensions>();
+  if (!isInlineASMSupported(Device) ||
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  auto ctx = q.get_context();
+  int *a =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  int *b =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  for (int i = 0; i < problem_size; i++) {
+    b[i] = -1;
+    a[i] = i;
+  }
+
+  q.submit([&](sycl::handler &cgh) {
+     cgh.parallel_for<kernel_name>(
+         sycl::range<1>(problem_size),
+         [=](sycl::id<1> idx) [[intel::reqd_sub_group_size(16)]] {
+           int i = idx[0];
+           volatile int tmp = a[i];
+           tmp += 1;
+#if defined(__SYCL_DEVICE_ONLY__)
+           asm volatile(" add (M1, 16) %0(0,0)<1> %0(0,0)<1;1,0> %1(0,0)<1;1,0>"
+                        : "+rw"(b[i])
+                        : "rw"(tmp));
+#else
+           b[i] += tmp;
+#endif
+         });
+   }).wait();
+
+  bool currect = true;
+  for (int i = 0; i < problem_size; i++) {
+    if (b[i] != a[i]) {
+      currect = false;
+      std::cerr << "error in a[" << i << "]=" << b[i] << "!=" << a[i]
+                << std::endl;
+      break;
+    }
+  }
+
+  if (!currect) {
+    std::cerr << "Error" << std::endl;
+    sycl::free(a, ctx);
+    sycl::free(b, ctx);
+    return 1;
+  }
+
+  std::cerr << "Pass" << std::endl;
+  sycl::free(a, ctx);
+  sycl::free(b, ctx);
+  return 0;
+}
diff --git a/sycl/test-e2e/InlineAsm/malloc_shared_no_input.cpp b/sycl/test-e2e/InlineAsm/malloc_shared_no_input.cpp
new file mode 100644
index 0000000000000..71ab0b2e3d883
--- /dev/null
+++ b/sycl/test-e2e/InlineAsm/malloc_shared_no_input.cpp
@@ -0,0 +1,62 @@
+// UNSUPPORTED: cuda
+// REQUIRES: gpu,linux
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "include/asmhelper.h"
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+constexpr size_t problem_size = 16;
+
+class kernel_name;
+
+int main() {
+  sycl::queue q;
+  sycl::device Device = q.get_device();
+
+  auto Vec = Device.get_info<sycl::info::device::extensions>();
+  if (!isInlineASMSupported(Device) ||
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  auto ctx = q.get_context();
+  int *a =
+      (int *)malloc_shared(sizeof(int) * problem_size, q.get_device(), ctx);
+  for (int i = 0; i < problem_size; i++)
+    a[i] = i;
+
+  q.submit([&](sycl::handler &cgh) {
+     cgh.parallel_for<kernel_name>(
+         sycl::range<1>(problem_size),
+         [=](sycl::id<1> idx) [[intel::reqd_sub_group_size(16)]] {
+           int i = idx[0];
+#if defined(__SYCL_DEVICE_ONLY__)
+           asm volatile("mov (M1, 16) %0(0,0)<1> 0x7:d" : "=rw"(a[i]));
+#else
+           a[i] = 7;
+#endif
+         });
+   }).wait();
+
+  bool currect = true;
+  for (int i = 0; i < problem_size; i++) {
+    if (a[i] != 7) {
+      currect = false;
+      std::cerr << "error in a[" << i << "]=" << a[i] << "!=" << 7 << std::endl;
+      break;
+    }
+  }
+
+  if (!currect) {
+    std::cerr << "Error" << std::endl;
+    sycl::free(a, ctx);
+    return 1;
+  }
+
+  std::cerr << "Pass" << std::endl;
+  sycl::free(a, ctx);
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_buffs.cpp b/sycl/test-e2e/InorderQueue/in_order_buffs.cpp
new file mode 100644
index 0000000000000..72c636e62e105
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_buffs.cpp
@@ -0,0 +1,65 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//==-------- ordered_buffs.cpp - SYCL buffers in ordered queues test--------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const int dataSize = 32;
+
+int main() {
+  int dataA[dataSize] = {0};
+  int dataB[dataSize] = {0};
+
+  {
+    queue Queue{property::queue::in_order()};
+
+    // Purpose of this test is to create a dependency between two kernels
+    // RAW dependency
+    // which requires the use of ordered queue.
+    buffer<int, 1> bufA(dataA, range<1>(dataSize));
+    buffer<int, 1> bufB(dataB, range<1>(dataSize));
+    Queue.submit([&](handler &cgh) {
+      auto writeBuffer = bufA.get_access<access::mode::write>(cgh);
+
+      // Create a range.
+      auto myRange = range<1>(dataSize);
+
+      // Create a kernel.
+      auto myKernel = ([=](id<1> idx) { writeBuffer[idx] = idx[0]; });
+
+      cgh.parallel_for<class ordered_writer>(myRange, myKernel);
+    });
+
+    Queue.submit([&](handler &cgh) {
+      auto writeBuffer = bufB.get_access<access::mode::write>(cgh);
+      auto readBuffer = bufA.get_access<access::mode::read>(cgh);
+
+      // Create a range.
+      auto myRange = range<1>(dataSize);
+
+      // Create a kernel.
+      auto myKernel = ([=](id<1> idx) { writeBuffer[idx] = readBuffer[idx]; });
+
+      cgh.parallel_for<class ordered_reader>(myRange, myKernel);
+    });
+
+    auto readBufferB = bufB.get_access<access::mode::read>();
+    for (size_t i = 0; i != dataSize; ++i) {
+      if (readBufferB[i] != i) {
+        std::cout << "Result mismatches " << readBufferB[i] << " vs expected "
+                  << i << " for index " << i << std::endl;
+      }
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_buffs_ocl.cpp b/sycl/test-e2e/InorderQueue/in_order_buffs_ocl.cpp
new file mode 100644
index 0000000000000..6fb963d89269c
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_buffs_ocl.cpp
@@ -0,0 +1,50 @@
+// REQUIRES: opencl_icd,opencl
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//==-------- ordered_buffs.cpp - SYCL buffers in ordered queues test--------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const int dataSize = 32;
+
+bool isQueueInOrder(cl_command_queue cq) {
+  cl_command_queue_properties reportedProps;
+  cl_int iRet = clGetCommandQueueInfo(
+      cq, CL_QUEUE_PROPERTIES, sizeof(reportedProps), &reportedProps, nullptr);
+  assert(CL_SUCCESS == iRet && "Failed to obtain queue info from ocl device");
+  return (!(reportedProps & CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE));
+}
+
+int main() {
+  int dataA[dataSize] = {0};
+  int dataB[dataSize] = {0};
+
+  {
+    queue Queue{property::queue::in_order()};
+
+    bool result = true;
+    cl_command_queue cq = get_native<backend::opencl>(Queue);
+    device dev = Queue.get_device();
+    bool expected_result = isQueueInOrder(cq);
+
+    if (expected_result != result) {
+      std::cout << "Resulting queue order is OOO but expected order is inorder"
+                << std::endl;
+
+      return -1;
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_dmemll.cpp b/sycl/test-e2e/InorderQueue/in_order_dmemll.cpp
new file mode 100644
index 0000000000000..209f20a0d9cde
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_dmemll.cpp
@@ -0,0 +1,99 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+//
+//==----------- ordered_dmemll.cpp - Device Memory Linked List test --------==//
+// It uses an ordered queue where explicit waiting is not necessary between
+// kernels
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q{property::queue::in_order()};
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  Node *d_head = nullptr;
+  Node *d_cur = nullptr;
+  Node h_cur;
+
+  d_head = (Node *)malloc_device(sizeof(Node), dev, ctxt);
+  if (d_head == nullptr) {
+    return -1;
+  }
+  d_cur = d_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    h_cur.Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      h_cur.pNext = (Node *)malloc_device(sizeof(Node), dev, ctxt);
+      if (h_cur.pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      h_cur.pNext = nullptr;
+    }
+
+    event e0 = q.memcpy(d_cur, &h_cur, sizeof(Node));
+    e0.wait();
+
+    d_cur = h_cur.pNext;
+  }
+
+  q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = d_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  q.submit([=](handler &cgh) {
+    cgh.single_task<class bar>([=]() {
+      Node *pHead = d_head;
+      while (pHead) {
+        pHead->Num = pHead->Num + 42;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  d_cur = d_head;
+  for (int i = 0; i < numNodes; i++) {
+    event c = q.memcpy(&h_cur, d_cur, sizeof(Node));
+    c.wait();
+    free(d_cur, ctxt);
+
+    const int want = i * 4 + 43;
+    if (h_cur.Num != want) {
+      std::cout << "Result mismatches " << h_cur.Num << " vs expected "
+                << i * 4 + 43 << " for index " << i << std::endl;
+      return -1;
+    }
+    d_cur = h_cur.pNext;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_dmemll_ocl.cpp b/sycl/test-e2e/InorderQueue/in_order_dmemll_ocl.cpp
new file mode 100644
index 0000000000000..0d72f72ad1be0
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_dmemll_ocl.cpp
@@ -0,0 +1,48 @@
+// REQUIRES: opencl_icd,opencl
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+//==----------- ordered_dmemll.cpp - Device Memory Linked List test --------==//
+// It uses an ordered queue where explicit waiting is not necessary between
+// kernels
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr int numNodes = 4;
+
+bool getQueueOrder(cl_command_queue cq) {
+  cl_command_queue_properties reportedProps;
+  cl_int iRet = clGetCommandQueueInfo(
+      cq, CL_QUEUE_PROPERTIES, sizeof(reportedProps), &reportedProps, nullptr);
+  assert(CL_SUCCESS == iRet && "Failed to obtain queue info from ocl device");
+  return (reportedProps & CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE) ? false
+                                                                  : true;
+}
+
+int main() {
+  queue q{property::queue::in_order()};
+  auto dev = q.get_device();
+
+  bool result = true;
+  cl_command_queue cq = sycl::get_native<backend::opencl>(q);
+  bool expected_result = getQueueOrder(cq);
+  if (expected_result != result) {
+    std::cout << "Resulting queue order is OOO but expected order is inorder"
+              << std::endl;
+
+    return -1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_event_release.cpp b/sycl/test-e2e/InorderQueue/in_order_event_release.cpp
new file mode 100644
index 0000000000000..d4c37a5fd708c
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_event_release.cpp
@@ -0,0 +1,60 @@
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-unnamed-lambda %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// SYCL ordered queue event release shortcut test
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  queue q{property::queue::in_order()};
+  auto dev = q.get_device();
+  auto ctx = q.get_context();
+  const int N = 8;
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    auto A = (int *)malloc_shared(N * sizeof(int), dev, ctx);
+
+    for (int i = 0; i < N; i++) {
+      A[i] = 1;
+    }
+
+    {
+      id<1> offset(0);
+      q.parallel_for<class Baz>(range<1>{N}, offset, [=](id<1> ID) {
+        auto i = ID[0];
+        A[i]++;
+      });
+
+      q.wait();
+    }
+
+    {
+      nd_range<1> NDR(range<1>{N}, range<1>{2});
+      q.parallel_for<class NDFoo>(NDR, [=](nd_item<1> Item) {
+        auto i = Item.get_global_id(0);
+        A[i]++;
+      });
+
+      q.wait();
+    }
+
+    for (int i = 0; i < N; i++) {
+      if (A[i] != 3)
+        return 1;
+    }
+    free(A, ctx);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_get_property.cpp b/sycl/test-e2e/InorderQueue/in_order_get_property.cpp
new file mode 100644
index 0000000000000..36265f7884315
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_get_property.cpp
@@ -0,0 +1,41 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==----- in_order_get_property.cpp - queue.get_property<in_order> test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Queue1;
+  try {
+    assert(!Queue1.has_property<property::queue::in_order>() &&
+           "Queue1 was created without any properties therefore has property "
+           "should return 0");
+    Queue1.get_property<property::queue::in_order>();
+    assert(false && "Queue1 was created without any properties therefore get "
+                    "property should fail.");
+  } catch (const invalid_object_error &e) {
+    std::string ErrorMessage = e.what();
+    assert(
+        (ErrorMessage.find("The property is not found") != std::string::npos) &&
+        "Caught unexpected error!");
+  }
+
+  queue Queue2{property::queue::in_order()};
+  assert(Queue2.has_property<property::queue::in_order>() &&
+         "Queue2 should have property::queue::in_order.");
+  property::queue::in_order Property =
+      Queue2.get_property<property::queue::in_order>();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_kernels.cpp b/sycl/test-e2e/InorderQueue/in_order_kernels.cpp
new file mode 100644
index 0000000000000..8f646b9575734
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_kernels.cpp
@@ -0,0 +1,113 @@
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-unnamed-lambda %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// SYCL ordered queue kernel shortcut test
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  queue q{property::queue::in_order()};
+  auto dev = q.get_device();
+  auto ctx = q.get_context();
+  const int N = 8;
+  int err_cnt = 0;
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    auto A = (int *)malloc_shared(N * sizeof(int), dev, ctx);
+
+    for (int i = 0; i < N; i++) {
+      A[i] = 1;
+    }
+
+    q.parallel_for(range<1>{N}, [=](id<1> ID) {
+      auto i = ID[0];
+      A[i]++;
+    });
+
+    q.parallel_for<class Foo>(range<1>{N}, [=](id<1> ID) {
+      auto i = ID[0];
+      A[i]++;
+    });
+
+    q.single_task([=]() {
+      for (int i = 0; i < N; i++) {
+        A[i]++;
+      }
+    });
+
+    q.single_task<class Bar>([=]() {
+      for (int i = 0; i < N; i++) {
+        A[i]++;
+      }
+    });
+
+    id<1> offset(0);
+    q.parallel_for(range<1>{N}, offset, [=](id<1> ID) {
+      auto i = ID[0];
+      A[i]++;
+    });
+
+    q.parallel_for<class Baz>(range<1>{N}, offset, [=](id<1> ID) {
+      auto i = ID[0];
+      A[i]++;
+    });
+
+    nd_range<1> NDR(range<1>{N}, range<1>{2});
+    q.parallel_for(NDR, [=](nd_item<1> Item) {
+      auto i = Item.get_global_id(0);
+      A[i]++;
+    });
+
+    q.parallel_for<class NDFoo>(NDR, [=](nd_item<1> Item) {
+      auto i = Item.get_global_id(0);
+      A[i]++;
+    });
+
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for_work_group<class WkGrp>(
+          range<1>{N / 2}, range<1>{2}, [=](group<1> myGroup) {
+            auto j = myGroup.get_id(0);
+            myGroup.parallel_for_work_item(
+                [&](h_item<1> it) { A[(j * 2) + it.get_local_id(0)]++; });
+          });
+    });
+
+    q.submit([&](handler &cgh) {
+      cgh.parallel_for_work_group(
+          range<1>{N / 2}, range<1>{2}, [=](group<1> myGroup) {
+            auto j = myGroup.get_id(0);
+            myGroup.parallel_for_work_item(
+                [&](h_item<1> it) { A[(j * 2) + it.get_local_id(0)]++; });
+          });
+    });
+
+    q.wait();
+
+    for (int i = 0; i < N; i++) {
+      if (A[i] != 11) {
+        std::cerr << "Mismatch at index " << i << " : " << A[i]
+                  << " != 11 (expected)" << std::endl;
+        err_cnt++;
+      }
+    }
+    free(A, ctx);
+    if (err_cnt != 0) {
+      std::cerr << "Total mismatch =  " << err_cnt << std::endl;
+      return 1;
+    }
+  }
+
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_usm_explicit.cpp b/sycl/test-e2e/InorderQueue/in_order_usm_explicit.cpp
new file mode 100644
index 0000000000000..06158281b28a4
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_usm_explicit.cpp
@@ -0,0 +1,66 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// SYCL in ordered queues explicit USM test.
+// Simple test checking explicit USM functionality using a Queue with the
+// in_order property.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+
+  {
+    const int dataSize = 32;
+    const size_t numBytes = static_cast<size_t>(dataSize) * sizeof(int);
+
+    int dataA[dataSize] = {0};
+    int dataB[dataSize] = {0};
+
+    queue Queue{property::queue::in_order()};
+
+    auto devicePtrA = malloc_device<int>(numBytes, Queue);
+    Queue.memcpy(devicePtrA, &dataA, numBytes);
+
+    Queue.submit([&](handler &cgh) {
+      auto myRange = range<1>(dataSize);
+      auto myKernel = ([=](id<1> idx) { devicePtrA[idx] = idx[0]; });
+
+      cgh.parallel_for<class ordered_writer>(myRange, myKernel);
+    });
+
+    auto devicePtrB = malloc_device<int>(numBytes, Queue);
+    Queue.memcpy(devicePtrB, &dataB, numBytes);
+
+    Queue.submit([&](handler &cgh) {
+      auto myRange = range<1>(dataSize);
+      auto myKernel = ([=](id<1> idx) { devicePtrB[idx] = devicePtrA[idx]; });
+
+      cgh.parallel_for<class ordered_reader>(myRange, myKernel);
+    });
+
+    Queue.memcpy(&dataB, devicePtrB, numBytes);
+
+    Queue.wait();
+
+    auto ctxt = Queue.get_context();
+    free(devicePtrA, ctxt);
+    free(devicePtrB, ctxt);
+
+    for (int i = 0; i != dataSize; ++i) {
+      if (dataB[i] != i) {
+        std::cout << "Result mismatches " << dataB[i] << " vs expected " << i
+                  << " for index " << i << std::endl;
+      }
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_usm_host_dependency.cpp b/sycl/test-e2e/InorderQueue/in_order_usm_host_dependency.cpp
new file mode 100644
index 0000000000000..2e18c81a2a185
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_usm_host_dependency.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Test checks that dependency chain between commands is preserved for in-order
+// queue in the case when usm commands and host tasks are interleaved.
+
+#include <sycl.hpp>
+using namespace sycl;
+
+int main() {
+  static constexpr size_t Size = 100;
+  queue Q{property::queue::in_order()};
+
+  int *X = malloc_host<int>(Size, Q);
+  int *Y = malloc_host<int>(Size, Q);
+  int *Z = malloc_host<int>(Size, Q);
+
+  Q.memset(X, 0, sizeof(int) * Size);
+  Q.submit([&](handler &CGH) {
+    auto HostTask = [=] {
+      for (int i = 0; i < Size; i++)
+        X[i] += 99;
+    };
+    CGH.host_task(HostTask);
+  });
+  Q.memcpy(Y, X, sizeof(int) * Size);
+  Q.submit([&](handler &CGH) {
+    auto HostTask = [=] {
+      for (int i = 0; i < Size; i++)
+        Y[i] *= 2;
+    };
+    CGH.host_task(HostTask);
+  });
+  Q.fill(Z, 2, Size);
+
+  Q.submit([&](handler &CGH) {
+    auto HostTask = [=] { Z[99] += Y[99]; };
+    CGH.host_task(HostTask);
+  });
+  Q.wait();
+
+  int Error = (Z[99] != 200) ? 1 : 0;
+  std::cout << (Error ? "failed\n" : "passed\n");
+
+  free(X, Q);
+  free(Y, Q);
+  free(Z, Q);
+
+  return Error;
+}
diff --git a/sycl/test-e2e/InorderQueue/in_order_usm_implicit.cpp b/sycl/test-e2e/InorderQueue/in_order_usm_implicit.cpp
new file mode 100644
index 0000000000000..dc5793cd6ca65
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/in_order_usm_implicit.cpp
@@ -0,0 +1,65 @@
+// REQUIRES: cuda
+//
+// Currently only CUDA is supported: it would be necessary to generalize
+// mem_advice for other devices before adding support.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// SYCL in ordered queues implicit USM test.
+// Simple test checking implicit USM functionality using a Queue with the
+// in_order property.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+
+  {
+    queue Queue{property::queue::in_order()};
+
+    const int mem_advice = PI_MEM_ADVICE_CUDA_SET_READ_MOSTLY;
+
+    const int dataSize = 32;
+    const size_t numBytes = static_cast<size_t>(dataSize) * sizeof(int);
+
+    auto dataA = malloc_shared<int>(numBytes, Queue);
+    auto dataB = malloc_shared<int>(numBytes, Queue);
+
+    for (int i = 0; i < dataSize; i++) {
+      dataA[i] = i;
+      dataB[i] = 0;
+    }
+
+    Queue.mem_advise(dataA, numBytes, (pi_mem_advice)mem_advice);
+
+    Queue.submit([&](handler &cgh) {
+      auto myRange = range<1>(dataSize);
+      auto myKernel = ([=](id<1> idx) { dataB[idx] = dataA[idx]; });
+
+      cgh.parallel_for<class ordered_reader>(myRange, myKernel);
+    });
+
+    Queue.wait();
+
+    for (int i = 0; i != dataSize; ++i) {
+      if (dataB[i] != i) {
+        std::cout << "Result mismatches " << dataB[i] << " vs expected " << i
+                  << " for index " << i << std::endl;
+      }
+    }
+
+    auto ctxt = Queue.get_context();
+    free(dataA, ctxt);
+    free(dataB, ctxt);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/InorderQueue/prop.cpp b/sycl/test-e2e/InorderQueue/prop.cpp
new file mode 100644
index 0000000000000..3b641a3186904
--- /dev/null
+++ b/sycl/test-e2e/InorderQueue/prop.cpp
@@ -0,0 +1,66 @@
+// REQUIRES: opencl_icd,opencl
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+
+//==----------- ordered_dmemll.cpp - Device Memory Linked List test --------==//
+// It uses an ordered queue where explicit waiting is not necessary between
+// kernels
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr int numNodes = 4;
+
+bool getQueueOrder(cl_command_queue cq) {
+  cl_command_queue_properties reportedProps;
+  cl_int iRet = clGetCommandQueueInfo(
+      cq, CL_QUEUE_PROPERTIES, sizeof(reportedProps), &reportedProps, nullptr);
+  assert(CL_SUCCESS == iRet && "Failed to obtain queue info from ocl device");
+  return (reportedProps & CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE) ? false
+                                                                  : true;
+}
+
+int CheckQueueOrder(const queue &q) {
+  auto dev = q.get_device();
+
+  cl_command_queue cq = get_native<backend::opencl>(q);
+  bool expected_result = getQueueOrder(cq);
+  if (!expected_result)
+    return -1;
+
+  expected_result = q.is_in_order();
+  if (!expected_result)
+    return -2;
+
+  return 0;
+}
+
+int main() {
+  queue q1{property::queue::in_order()};
+  int res = CheckQueueOrder(q1);
+  if (res != 0)
+    return res;
+
+  device dev{sycl::default_selector_v};
+  context ctx{dev};
+
+  auto exception_handler = [](sycl::exception_list exceptions) {};
+
+  queue q2{ctx, dev, exception_handler, {sycl::property::queue::in_order()}};
+
+  res = CheckQueueOrder(q2);
+  if (res != 0)
+    return res;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/SPMD_invoke_ESIMD_external.cpp b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/SPMD_invoke_ESIMD_external.cpp
new file mode 100644
index 0000000000000..3c1817444db53
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/SPMD_invoke_ESIMD_external.cpp
@@ -0,0 +1,18 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../SPMD_invoke_ESIMD_external.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/SPMD_invoke_ESIMD_external.cpp,
+ * but compiles without optional subgroup attribute specified and intended to
+ * check that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/invoke_simd_struct.cpp b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/invoke_simd_struct.cpp
new file mode 100644
index 0000000000000..68e5714f77fa4
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/invoke_simd_struct.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../invoke_simd_struct.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/invoke_simd_struct.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/popcnt.cpp b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/popcnt.cpp
new file mode 100644
index 0000000000000..7b5b81a161e62
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/popcnt.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable after simd_mask supported
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../popcnt.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/popcnt.cpp, but compiles without
+ * optional subgroup attribute specified and intended to check that compiler is
+ * able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/popcnt_emu.cpp b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/popcnt_emu.cpp
new file mode 100644
index 0000000000000..d7db65ab93652
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/popcnt_emu.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../popcnt_emu.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/popcnt_emu.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/scale.cpp b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/scale.cpp
new file mode 100644
index 0000000000000..fa77af9d531e0
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/scale.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../scale.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/scale.cpp, but compiles without
+ * optional subgroup attribute specified and intended to check that compiler is
+ * able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/void_retval.cpp b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/void_retval.cpp
new file mode 100644
index 0000000000000..23d4879f337e2
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/ImplicitSubgroup/void_retval.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../void_retval.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/void_retval.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/SPMD_invoke_ESIMD_external.cpp b/sycl/test-e2e/InvokeSimd/Feature/SPMD_invoke_ESIMD_external.cpp
new file mode 100644
index 0000000000000..13142d563f39e
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/SPMD_invoke_ESIMD_external.cpp
@@ -0,0 +1,150 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This test checks the case of calling the same external function from the SPMD
+ * and ESIMD kernels.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/ext/oneapi/experimental/uniform.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+esimd::simd<float, VL> ESIMD_CALLEE(float *A, int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res;
+  res.copy_from(A + i);
+  return res;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, i);
+  return res;
+}
+
+using namespace sycl;
+
+int main() {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  float *A = static_cast<float *>(malloc_shared(Size * sizeof(float), q));
+  float *B = static_cast<float *>(malloc_shared(Size * sizeof(float), q));
+  float *C = static_cast<float *>(malloc_shared(Size * sizeof(float), q));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+    B[i] = C[i] = -1;
+  }
+
+  try {
+    sycl::range<1> GlobalRange{Size};
+    // Number of workitems in each workgroup.
+    sycl::range<1> LocalRange{GroupSize};
+    sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class TestInvokeSimd>(
+          Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+            sub_group sg = ndi.get_sub_group();
+            group<1> g = ndi.get_group();
+            uint32_t i = sg.get_group_linear_id() * VL +
+                         g.get_group_linear_id() * GroupSize;
+            uint32_t wi_id = i + sg.get_local_id();
+
+            float res = invoke_simd(sg, SIMD_CALLEE, uniform{A}, uniform{i});
+            B[wi_id] = res;
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  try {
+    sycl::range<1> GlobalRange{Size};
+    // Number of workitems in each workgroup.
+    sycl::range<1> LocalRange{VL};
+    sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class TestExternalCall>(
+          Range, [=](nd_item<1> ndi) SYCL_ESIMD_KERNEL {
+            uint32_t i = ndi.get_group(0) * VL;
+
+            esimd::simd<float, VL> res(SIMD_CALLEE(B, i));
+            res.copy_to(C + i);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != B[i] || B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << A[i] << " != " << B[i]
+                  << " != " << C[i] << "\n";
+      }
+    }
+  }
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/invoke_simd_struct.cpp b/sycl/test-e2e/InvokeSimd/Feature/invoke_simd_struct.cpp
new file mode 100644
index 0000000000000..8053a8ec08e6f
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/invoke_simd_struct.cpp
@@ -0,0 +1,176 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test case specification:
+ * -----------------------
+ * Test passing pointers to structs to invoke_simd functions.
+ *
+ * Test case description:
+ * -----------------------------
+ * This is a simple test case that defines a struct named
+ * multipliers with 2 int members, x and y. Suppose these
+ * members represent values by which we want to scale the
+ * addtion of vectors A + B. That is, we want to compute
+ * C = A + B * x * y (the sum of A + B scaled by x,
+ * and then scaled by y).
+ *
+ * Test case implementation notes:
+ * -------------------------------
+ * This test case is a modified
+ * https://github.com/intel/llvm/blob/sycl/sycl/test/invoke_simd/invoke_simd.cpp
+ * It simply extends it by adding a struct pointer parameter to the invoke_simd
+ * functions which use it to scale the original vector addition.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+struct multipliers {
+  int x;
+  int y;
+};
+
+/* Performs the addition of vectors A + B scaled by scalars->x and scalars->y.*/
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE(int *A, esimd::simd<int, VL> b, int i,
+             multipliers *scalars) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> a;
+  a.copy_from(A + i);
+  // Add vectors A + B and scale them by x and y.
+  return a + b * scalars->x * scalars->y;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE(int *A, simd<int, VL> b, int i,
+                                        multipliers *scalars)
+        SYCL_ESIMD_FUNCTION;
+
+int SPMD_CALLEE(int *A, int b, int i, multipliers *scalars) {
+  return A[i] + b * scalars->x * scalars->y;
+}
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctx = q.get_context();
+
+  int *A = static_cast<int *>(malloc_shared(Size * sizeof(int), dev, ctx));
+  int *B = static_cast<int *>(malloc_shared(Size * sizeof(int), dev, ctx));
+  int *C = static_cast<int *>(malloc_shared(Size * sizeof(int), dev, ctx));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  // USM shared memory allocation for a struct multipliers.
+  multipliers *scalars = static_cast<multipliers *>(
+      malloc_shared(/*Size **/ sizeof(multipliers), dev, ctx));
+  scalars->x = 2;
+  scalars->y = 3;
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        int res;
+
+        if constexpr (use_invoke_simd) {
+          res = invoke_simd(sg, SIMD_CALLEE, uniform{A}, B[wi_id], uniform{i},
+                            uniform{scalars});
+        } else {
+          res = SPMD_CALLEE(A, B[wi_id], wi_id, scalars);
+        }
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(scalars, ctx);
+    sycl::free(A, ctx);
+    sycl::free(B, ctx);
+    sycl::free(C, ctx);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] * scalars->x * scalars->y != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(scalars, ctx);
+  sycl::free(A, ctx);
+  sycl::free(B, ctx);
+  sycl::free(C, ctx);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE(int *A, simd<int, VL> b, int i,
+                                        multipliers *scalars)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res = ESIMD_CALLEE(A, b, i, scalars);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/popcnt.cpp b/sycl/test-e2e/InvokeSimd/Feature/popcnt.cpp
new file mode 100644
index 0000000000000..4f55b6b182c80
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/popcnt.cpp
@@ -0,0 +1,154 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable after simd_mask supported
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test case purpose:
+ * -----------------
+ * The purpose of popcnt is to test the population count operation (calculate
+ * the number of bits set to 1 in a binary vector) called from withing
+ * invoke_simd callee.
+ *
+ * Test case description:
+ * ----------------------
+ * This program has a single global vector of 1024 ints, and a SIMD width
+ * and work-group size of 16. Each work-item sends its (global_id % 2)
+ * into an esimd::simd<int, 16>. The ESIMD_CALLEE_popcnt() function
+ * counts the number of 1-bits (which result from odd global_ids) in
+ * its simd argument. Since the global_ids increase consecutively starting
+ * at 0, there should be eight 0-bits and eight 1-bits in any given 16-wide
+ * SIMD: [0101010101010101]
+ * Therefore, the count of 1-bits will always be the SIMD width / 2, which
+ * is then returned to the callee in a SIMD. The final result is the output
+ * vector populated with SIMD width / 2 (in this case, 8 since the SIMD width
+ * is 16).
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 64 iterations that process 16 elements each
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE_popcnt(simd_mask<bool, VL> mask) SYCL_ESIMD_FUNCTION {
+  // here we call built_in population count operation
+  uint32_t count = popcount(mask);
+  esimd::simd<int, VL> vc(count);
+  return vc;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_popcnt(simd_mask<bool, VL> mask)
+        SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctx = q.get_context();
+
+  auto *O =
+      static_cast<int32_t *>(malloc_shared(Size * sizeof(int32_t), dev, ctx));
+  auto *M = static_cast<bool *>(malloc_shared(Size * sizeof(bool), dev, ctx));
+
+  for (int i = 0; i < Size; ++i) {
+    O[i] = -1;
+    M[i] = i % 2 == 0;
+  }
+
+  try {
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> ndi) SUBGROUP_ATTR {
+            sub_group sg = ndi.get_sub_group();
+            group<1> g = ndi.get_group();
+            uint32_t i = sg.get_group_linear_id() * VL +
+                         g.get_group_linear_id() * GroupSize;
+            uint32_t wi_id = i + sg.get_local_id();
+
+            int res = invoke_simd(sg, SIMD_CALLEE_popcnt, M[wi_id]);
+            O[wi_id] = res;
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(O, q);
+    sycl::free(M, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (O[i] != VL / 2) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << O[i] << " != " << VL
+                  << " / 2"
+                  << "\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(O, q);
+  sycl::free(M, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_popcnt(simd_mask<bool, VL> mask)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res = ESIMD_CALLEE_popcnt(mask);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/popcnt_emu.cpp b/sycl/test-e2e/InvokeSimd/Feature/popcnt_emu.cpp
new file mode 100644
index 0000000000000..7b016c83acd5b
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/popcnt_emu.cpp
@@ -0,0 +1,173 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test case purpose:
+ * -----------------
+ * The purpose of popcnt is to test the population count operation (calculate
+ * the number of bits set to 1 in a binary vector) called from withing
+ * invoke_simd callee. At the moment most of the functionality that the original
+ * test case is supposed to test is not supported by the current implementation
+ * of invoke_simd. For example, simd_mask doesn't work in the SIMD or ESIMD
+ * functions nor will an element type of bool. This test emulates desired
+ * behaviour iterating in a loop over simd of INTs.
+ *
+ * Test case description:
+ * ----------------------
+ * This program has a single global vector of 1024 ints, and a SIMD width
+ * and work-group size of 16. Each work-item sends its (global_id % 2)
+ * into an esimd::simd<int, 16>. The ESIMD_CALLEE_popcnt() function
+ * counts the number of 1-bits (which result from odd global_ids) in
+ * its simd argument. Since the global_ids increase consecutively starting
+ * at 0, there should be eight 0-bits and eight 1-bits in any given 16-wide
+ * SIMD: [0101010101010101]
+ * Therefore, the count of 1-bits will always be the SIMD width / 2, which
+ * is then returned to the callee in a SIMD. The final result is the output
+ * vector populated with SIMD width / 2 (in this case, 8 since the SIMD width
+ * is 16).
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 64 iterations that process 16 elements each
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+// emulating popcount for esimd::simd of ints
+int popcnt(esimd::simd<int, VL> mask) {
+  int count = 0;
+  for (int i = 0; i < VL; i++) {
+    if (mask[i]) {
+      count++;
+    }
+  }
+
+  return count;
+}
+
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE_popcnt(esimd::simd<uint16_t, VL> mask) SYCL_ESIMD_FUNCTION {
+  int count = popcnt(mask);
+  esimd::simd<int, VL> vc(count);
+  return vc;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_popcnt(simd<uint16_t, VL> mask)
+        SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  int *output = new int[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    output[i] = 0;
+  }
+
+  try {
+    buffer<int, 1> buf(output, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto out_accessor = buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> ndi) SUBGROUP_ATTR {
+            sycl::group<1> g = ndi.get_group();
+            sycl::sub_group sg = ndi.get_sub_group();
+            int id = ndi.get_global_id()[0];
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            int res;
+
+            if constexpr (use_invoke_simd) {
+              // Invoke SIMD function:
+              uint16_t dummy = id % 2;
+              res = invoke_simd(sg, SIMD_CALLEE_popcnt, dummy);
+            } else {
+              res = id % 2;
+            }
+            sg.store(out_accessor.get_pointer() + offset, res);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] output;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (output[i] != VL / 2) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << output[i]
+                  << " != " << VL << " / 2"
+                  << "\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] output;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_popcnt(simd<uint16_t, VL> mask)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res_count = ESIMD_CALLEE_popcnt(mask);
+  return res_count;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/scale.cpp b/sycl/test-e2e/InvokeSimd/Feature/scale.cpp
new file mode 100644
index 0000000000000..b038d5c89b3a3
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/scale.cpp
@@ -0,0 +1,169 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * Tests invoke_simd support in the compiler/headers
+ * Test case purpose:
+ * -----------------
+ * To verify that the simple scale example from the invoke_simd spec
+ * https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/experimental/sycl_ext_oneapi_invoke_simd.asciidoc
+ * works.
+ *
+ * Test case description:
+ * ---------------------
+ * Invoke a simple SIMD function that scales all elements of a SIMD type X by a
+ * scalar value n.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int Size = 512;
+constexpr int VL = 16;
+
+/*
+ * A simple SIMD function that scales all elements of a SIMD type x by a scalar
+ * value n.
+ */
+template <class T>
+__attribute__((always_inline)) esimd::simd<T, VL>
+ESIMD_CALLEE_scale(esimd::simd<T, VL> x, T n) SYCL_ESIMD_FUNCTION {
+  return x * n;
+}
+
+template <class T>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<T, VL> __regcall SIMD_CALLEE_scale(simd<T, VL> x,
+                                            T n) SYCL_ESIMD_FUNCTION {
+  esimd::simd<T, VL> r = ESIMD_CALLEE_scale<T>(x, n);
+  return r;
+}
+
+using namespace sycl;
+
+template <class> class TestID;
+
+template <class T> T etalon(T a, T n) { return a * n; }
+
+template <class T, class QueueTY> bool test(QueueTY q) {
+  std::cout << "Type: " << typeid(T).name() << "\n";
+
+  T *A = new T[Size];
+  T *C = new T[Size];
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = static_cast<T>(i);
+    C[i] = static_cast<T>(0);
+  }
+
+  // scale factor
+  T n = static_cast<T>(2);
+
+  try {
+    buffer<T, 1> bufa(A, range<1>(Size));
+    buffer<T, 1> bufc(C, range<1>(Size));
+
+    sycl::range<1> GlobalRange{Size};
+    sycl::range<1> LocalRange{VL};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acca = bufa.template get_access<access::mode::read>(cgh);
+      auto accc = bufc.template get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<TestID<T>>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+
+            T va = sg.load(acca.get_pointer() + offset);
+            T vc = invoke_simd(sg, SIMD_CALLEE_scale<T>, va, uniform{n});
+            sg.store(accc.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (C[i] != etalon(A[i], n)) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " * " << n << "\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] C;
+
+  return err_cnt == 0;
+}
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  const bool SupportsDouble = dev.has(aspect::fp64);
+
+  bool passed = true;
+  passed &= test<unsigned char>(q);
+  passed &= test<char>(q);
+  passed &= test<unsigned short>(q);
+  passed &= test<short>(q);
+  passed &= test<unsigned int>(q);
+  passed &= test<int>(q);
+  passed &= test<unsigned long>(q);
+  passed &= test<long>(q);
+
+  passed &= test<float>(q);
+  if (SupportsDouble)
+    passed &= test<double>(q);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/split_module/Inputs/ESIMD_module.cpp b/sycl/test-e2e/InvokeSimd/Feature/split_module/Inputs/ESIMD_module.cpp
new file mode 100644
index 0000000000000..9c7eff725f3ea
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/split_module/Inputs/ESIMD_module.cpp
@@ -0,0 +1,27 @@
+// This is the second module for split_module/SPMD_module.cpp test
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+esimd::simd<float, VL> ESIMD_CALLEE(float *A, esimd::simd<float, VL> b,
+                                    int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a;
+  a.copy_from(A + i);
+  return a + b;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b,
+                                          int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, b, i);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/split_module/SPMD_module.cpp b/sycl/test-e2e/InvokeSimd/Feature/split_module/SPMD_module.cpp
new file mode 100644
index 0000000000000..ff3bd8f92617a
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/split_module/SPMD_module.cpp
@@ -0,0 +1,126 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s %S/Inputs/ESIMD_module.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support of modular code structure.
+// ESIMD part is located in split_module/Inputs/ESIMD_module.cpp
+//
+// This test also runs with all types of VISA link time optimizations enabled.
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b,
+                                          int i) SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE(float *A, float b, int i) { return A[i] + b; }
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        float res;
+
+        if constexpr (use_invoke_simd) {
+          res = invoke_simd(sg, SIMD_CALLEE, uniform{A}, B[wi_id], uniform{i});
+        } else {
+          res = SPMD_CALLEE(A, B[wi_id], wi_id);
+        }
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctxt);
+    sycl::free(B, ctxt);
+    sycl::free(C, ctxt);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, ctxt);
+  sycl::free(B, ctxt);
+  sycl::free(C, ctxt);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Feature/split_module/SPMD_module_ImplicitSubgroup.cpp b/sycl/test-e2e/InvokeSimd/Feature/split_module/SPMD_module_ImplicitSubgroup.cpp
new file mode 100644
index 0000000000000..25382bbb6d5f0
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/split_module/SPMD_module_ImplicitSubgroup.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/SPMD_module.cpp %S/Inputs/ESIMD_module.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/feature/split_module/SPMD_module.cpp,
+ * but compiles without optional subgroup attribute specified and intended to
+ * check that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Feature/void_retval.cpp b/sycl/test-e2e/InvokeSimd/Feature/void_retval.cpp
new file mode 100644
index 0000000000000..a67dd997ae549
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Feature/void_retval.cpp
@@ -0,0 +1,166 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/*
+ * Test case purpose:
+ * -----------------
+ * To test void return values from a SIMD function. There is no explicit
+ * mention of void return values in the invoke_simd spec, but many
+ * many workloads (i.e., RenderKit) require such support.
+ *
+ * Test case description:
+ * ---------------------
+ * A simple SIMD function that returns a void value.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+/*
+ * A simple SIMD function that ignores it arguments and simply returns void.
+ * NOTE: I first tried to wrap void in simd, but the implementation didn't
+ * accept that either.
+ */
+__attribute__((always_inline)) void
+ESIMD_CALLEE_return_void(esimd::simd<float, VL> va, esimd::simd<float, VL> vb,
+                         float *pvc) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = va + vb;
+  esimd::block_store<float, VL>(pvc, res);
+  return;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE_return_void(
+    simd<float, VL> va, simd<float, VL> vb, float *pvc) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+constexpr bool use_void = true;
+
+int main(void) {
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vb = sg.load(PB.get_pointer() + offset);
+            // We need to get a pointer to the starting address of where the
+            // result of the vector addition should be stored in/written back to
+            // C. Returns the index (ordinal number) of the work-group to which
+            // the current work-item belongs (i.e., (work-group) 0, (work-group)
+            // 1, etc.). Computes the global work-group starting index; the
+            // absolute starting index of the work-group in the ND-range to
+            // which the current work-item belongs.
+            int group_offset = g.get_group_linear_id() * VL;
+            float *pvc = PC.get_pointer() + group_offset;
+
+            // Invoke SIMD function:
+            // va values from each work-item are combined into a simd<float,
+            // VL>.
+            invoke_simd(sg, SIMD_CALLEE_return_void, va, vb, uniform{pvc});
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (C[i] != A[i] + B[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE_return_void(
+    simd<float, VL> va, simd<float, VL> vb, float *pvc) SYCL_ESIMD_FUNCTION {
+  ESIMD_CALLEE_return_void(va, vb, pvc);
+  return;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_loop.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_loop.cpp
new file mode 100644
index 0000000000000..44de01e9a6d7a
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_loop.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../call_vadd_1d_loop.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/call_vadd_1d_loop.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_loop_naive.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_loop_naive.cpp
new file mode 100644
index 0000000000000..567561e2376f1
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_loop_naive.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../call_vadd_1d_loop_naive.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/call_vadd_1d_loop_naive.cpp,
+ * but compiles without optional subgroup attribute specified and intended to
+ * check that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_spill.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_spill.cpp
new file mode 100644
index 0000000000000..255980c6bb098
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/call_vadd_1d_spill.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../call_vadd_1d_spill.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/call_vadd_1d_spill.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/debug_symbols.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/debug_symbols.cpp
new file mode 100644
index 0000000000000..75a25827fde2b
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/debug_symbols.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr -g %S/../debug_symbols.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/debug_symbols.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/dp4a.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/dp4a.cpp
new file mode 100644
index 0000000000000..7c9a219e889d7
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/dp4a.cpp
@@ -0,0 +1,17 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+// REQUIRES: gpu-intel-dg1 || gpu-intel-dg2 || gpu-intel-pvc
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../dp4a.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/dp4a.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_add.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_add.cpp
new file mode 100644
index 0000000000000..98fb18bead938
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_add.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../matrix_add.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/matrix_add.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_multiply_USM.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_multiply_USM.cpp
new file mode 100644
index 0000000000000..269225d08ad23
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_multiply_USM.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../matrix_multiply_USM.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/regression/matrix_multiply_USM.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_multiply_accessor_get_pointer.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_multiply_accessor_get_pointer.cpp
new file mode 100644
index 0000000000000..837aae361f362
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/matrix_multiply_accessor_get_pointer.cpp
@@ -0,0 +1,17 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../matrix_multiply_accessor_get_pointer.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as
+ * InvokeSimd/regression/matrix_multiply_accessor_get_pointer.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/nbarrier_basic.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/nbarrier_basic.cpp
new file mode 100644
index 0000000000000..aba7a904780e8
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/nbarrier_basic.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// NOTE: named barrier supported only since PVC
+// REQUIRES: gpu-intel-pvc && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira issue resolved, currently fail with VISALTO enable
+// XFAIL: gpu-intel-pvc
+//
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../nbarrier_basic.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/Regression/slm_load_store.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/slm_load_store.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/slm_load_store.cpp
new file mode 100644
index 0000000000000..d23ce0f994d85
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/slm_load_store.cpp
@@ -0,0 +1,18 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira issue resolved
+// REQUIRES: TEMPORARY_DISABLED
+//
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../slm_load_store.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/Regression/slm_load_store.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/tiled_matrix_multiplication.cpp b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/tiled_matrix_multiplication.cpp
new file mode 100644
index 0000000000000..5cb3096a7c004
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/ImplicitSubgroup/tiled_matrix_multiplication.cpp
@@ -0,0 +1,17 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../tiled_matrix_multiplication.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as
+ * InvokeSimd/regression/tiled_matrix_multiplication.cpp, but compiles without
+ * optional subgroup attribute specified and intended to check that compiler is
+ * able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_loop.cpp b/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_loop.cpp
new file mode 100644
index 0000000000000..53644f79e13b3
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_loop.cpp
@@ -0,0 +1,193 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu-intel-pvc
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* This program tests loop functionality. The key parts of this program
+ * are:
+ * 1). The global execution range is divided/reduced by VL
+ * 2). Each work-item must do VL times more work
+ * 3). invoke_simd functionality is integrated into this test case
+ *     by accumulating wi_ids into simds instead of vector elements.
+ *     There is thus an extra looping step that must occur in order to
+ *     perform the vector additions: each simd of wi_ids must be
+ *     looped through and each wi_id extracted. Then, each wi_id
+ *     is used to compute an absolute offset into the underlying vectors
+ *     A, B, and C. That is, each ESIMD function call actually performs
+ *     VL vector additions.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE(float *A, float *B, float *C,
+             esimd::simd<int, VL> indices) SYCL_ESIMD_FUNCTION {
+  // Loop through the indices:
+  // Extract each index and use it to load 16 underlying vector elements (from A
+  // and B), perform the vector addition of these elements, and store the result
+  // in the correct location in C.
+  for (int i = 0; i < VL; ++i) {
+    int index = indices[i];
+    int absolute_index = index * VL;
+    esimd::simd<float, VL> a, b;
+    a.copy_from(A + absolute_index);
+    b.copy_from(B + absolute_index);
+    esimd::simd<float, VL> c = a + b;
+    c.copy_to(C + absolute_index);
+  }
+
+  // The current implementation requires us to return something here; so we
+  // return a dummy, which is simply ignored by the caller.
+  return esimd::simd<float, VL>();
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, float *B, float *C,
+                                          simd<int, VL> indices)
+        SYCL_ESIMD_FUNCTION;
+
+void SPMD_doVadd(float va[VL], float vb[VL], float vc[VL]) {
+  for (int i = 0; i < VL; i++) {
+    vc[i] = va[i] + vb[i];
+  }
+}
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size / VL};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        int wi_id = i + sg.get_local_id();
+
+        if constexpr (use_invoke_simd) {
+          float res = invoke_simd(sg, SIMD_CALLEE, uniform{A}, uniform{B},
+                                  uniform{C}, wi_id);
+        } else {
+          // NOTE: This kernel will be instantiated for each index in the
+          // GlobalRange, which is currently 1024 / 16 = 64. However, in
+          // this loop implementation, we do not want to do an SPMD-style
+          // vector addition on each individual workitem in the global
+          // execution range, rather we want to simulate an SIMD-style
+          // vector addition using standard arrays of VL workitems, but only
+          // processing every VLth index.
+          unsigned int offset = ndi.get_global_id(0) * VL;
+          float va[VL], vb[VL], vc[VL];
+          // Load input vectors A and B.
+          for (int k = 0; k < VL; k++) {
+            va[k] = A[offset + k];
+            vb[k] = B[offset + k];
+          }
+
+          SPMD_doVadd(va, vb, vc);
+          for (int k = 0; k < VL; k++) {
+            C[offset + k] = vc[k];
+          }
+        }
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, float *B, float *C,
+                                          simd<int, VL> indices)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, B, C, indices);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_loop_naive.cpp b/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_loop_naive.cpp
new file mode 100644
index 0000000000000..5129fe8a6a8d7
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_loop_naive.cpp
@@ -0,0 +1,156 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* This program tests loop functionality. The key parts of this program
+ * are:
+ * 1). The global execution range is divided/reduced by VL
+ * 2). Each work-item must do VL times more work
+ * 3). invoke_simd functionality is integrated into this test case
+ *     by accumulating wi_ids into simds instead of vector elements.
+ *     There is thus an extra looping step that must occur in order to
+ *     perform the vector additions: each simd of wi_ids must be
+ *     looped through and each wi_id extracted. Then, each wi_id
+ *     is used to compute an absolute offset into the underlying vectors
+ *     A, B, and C. That is, each ESIMD function call actually performs
+ *     VL vector additions.
+ *
+ * This tests is the same as call_vadd_1d_loop.cpp, but passes offset as
+ * uniform argument.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) void ESIMD_CALLEE(float *A, float *B, float *C,
+                                                 int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a, b;
+  a.copy_from(A + i);
+  b.copy_from(B + i);
+  esimd::simd<float, VL> c = a + b;
+  c.copy_to(C + i);
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE(
+    float *A, float *B, float *C, int i) SYCL_ESIMD_FUNCTION;
+
+void SPMD_CALLEE_doVadd(float *A, float *B, float *C, int i) {
+  C[i] = A[i] + B[i];
+}
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+
+        if constexpr (use_invoke_simd) {
+          invoke_simd(sg, SIMD_CALLEE, uniform{A}, uniform{B}, uniform{C},
+                      uniform{i});
+        } else {
+          SPMD_CALLEE_doVadd(A, B, C, wi_id);
+        }
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE(
+    float *A, float *B, float *C, int i) SYCL_ESIMD_FUNCTION {
+  ESIMD_CALLEE(A, B, C, i);
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_spill.cpp b/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_spill.cpp
new file mode 100644
index 0000000000000..e21d5143d3ae7
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/call_vadd_1d_spill.cpp
@@ -0,0 +1,230 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/* This program is basically an extension of the standard vector addition
+ * program (i.e., call_vadd_1d). The only difference is that instead of adding 2
+ * vectors (i.e., va + vb), we add 14 vectors. There are 2 cases in the test:
+ * 1. The extra vectors beyond va and vb are zero vectors
+ * 2. The extra vectors beyond va and vb are non-zero vectors
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+template <int VL>
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va, esimd::simd<float, VL> vb,
+                    esimd::simd<float, VL> va1, esimd::simd<float, VL> vb1,
+                    esimd::simd<float, VL> va2, esimd::simd<float, VL> vb2,
+                    esimd::simd<float, VL> va3, esimd::simd<float, VL> vb3,
+                    esimd::simd<float, VL> va4, esimd::simd<float, VL> vb4,
+                    esimd::simd<float, VL> va5, esimd::simd<float, VL> vb5,
+                    esimd::simd<float, VL> va6,
+                    esimd::simd<float, VL> vb6) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> vc = va + vb + va1 + vb1 + va2 + vb2 + va3 + vb3 +
+                              va4 + vb4 + va5 + vb5 + va6 + vb6;
+  return vc;
+}
+
+template <int VL>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb, simd<float, VL> va1,
+        simd<float, VL> vb1, simd<float, VL> va2, simd<float, VL> vb2,
+        simd<float, VL> va3, simd<float, VL> vb3, simd<float, VL> va4,
+        simd<float, VL> vb4, simd<float, VL> va5, simd<float, VL> vb5,
+        simd<float, VL> va6, simd<float, VL> vb6) SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE_doVadd(float va, float vb, float vp, float vq, float vr,
+                         float vx, float vy, float vz, float v1, float v2,
+                         float v3, float v4, float v5, float v6) {
+  return va + vb + vp + vq + vr + vx + vy + vz + v1 + v2 + v3 + v4 + v5 + v6;
+}
+
+using namespace sycl;
+
+template <int, int, bool, int> class TestID;
+
+template <int Size, int VL, bool use_invoke_simd, int CaseNum, class QueueTY>
+bool test(QueueTY q, float *A, float *B, float *C, float *P, float *Q, float *R,
+          float *X, float *Y, float *Z) {
+  std::cout << "Case #" << CaseNum << '\n';
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+    buffer<float, 1> bufp(P, range<1>(Size));
+    buffer<float, 1> bufq(Q, range<1>(Size));
+    buffer<float, 1> bufr(R, range<1>(Size));
+    buffer<float, 1> bufx(X, range<1>(Size));
+    buffer<float, 1> bufy(Y, range<1>(Size));
+    buffer<float, 1> bufz(Z, range<1>(Size));
+
+    sycl::range<1> GlobalRange{Size};
+    sycl::range<1> LocalRange{VL};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PP = bufp.get_access<access::mode::read>(cgh);
+      auto PQ = bufq.get_access<access::mode::read>(cgh);
+      auto PR = bufr.get_access<access::mode::read>(cgh);
+      auto PX = bufx.get_access<access::mode::read>(cgh);
+      auto PY = bufy.get_access<access::mode::read>(cgh);
+      auto PZ = bufz.get_access<access::mode::read>(cgh);
+
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<TestID<Size, VL, use_invoke_simd, CaseNum>>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vb = sg.load(PB.get_pointer() + offset);
+            float vp = sg.load(PP.get_pointer() + offset);
+            float vq = sg.load(PQ.get_pointer() + offset);
+            float vr = sg.load(PR.get_pointer() + offset);
+            float vx = sg.load(PX.get_pointer() + offset);
+            float vy = sg.load(PY.get_pointer() + offset);
+            float vz = sg.load(PZ.get_pointer() + offset);
+
+            float vc;
+
+            if constexpr (use_invoke_simd) {
+              vc = invoke_simd(sg, SIMD_CALLEE_doVadd<VL>, va, vb, vx, vy, vx,
+                               vy, vx, vy, vx, vy, vp, vq, vr, vz);
+            } else {
+              vc = SPMD_CALLEE_doVadd(va, vb, vx, vy, vx, vy, vx, vy, vx, vy,
+                                      vp, vq, vr, vz);
+            }
+            sg.store(PC.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] + X[i] + Y[i] + X[i] + Y[i] + X[i] + Y[i] + X[i] + Y[i] +
+            P[i] + Q[i] + R[i] + Z[i] !=
+        C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << " + " << X[i] << " + " << Y[i] << " + "
+                  << X[i] << " + " << Y[i] << " + " << X[i] << " + " << Y[i]
+                  << " + " << X[i] << " + " << Y[i] << " + " << P[i] << " + "
+                  << Q[i] << " + " << R[i] << " + " << Z[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt == 0;
+}
+
+int main() {
+  constexpr int VL = 16;
+  constexpr int Size = 1024;
+  constexpr bool use_invoke_simd = true;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+  float *P = new float[Size];
+  float *Q = new float[Size];
+  float *R = new float[Size];
+  float *X = new float[Size];
+  float *Y = new float[Size];
+  float *Z = new float[Size];
+
+  // Case #1 - zero vectors except A and B
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    // Basically, we can ignore these extra zero vectors.
+    P[i] = Q[i] = R[i] = X[i] = Y[i] = Z[i] = 0;
+    C[i] = -1.0f;
+  }
+  passed &= test<Size, VL, use_invoke_simd, 1>(q, A, B, C, P, Q, R, X, Y, Z);
+
+  // Case #2 - all nonzero vectors
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    // In this non-zero version, these extra vectors are ones vectors.
+    P[i] = Q[i] = R[i] = X[i] = Y[i] = Z[i] = 1.0f;
+    C[i] = -1.0f;
+  }
+  passed &= test<Size, VL, use_invoke_simd, 2>(q, A, B, C, P, Q, R, X, Y, Z);
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+  delete[] P;
+  delete[] Q;
+  delete[] R;
+  delete[] X;
+  delete[] Y;
+  delete[] Z;
+
+  return passed ? 0 : 1;
+}
+
+template <int VL>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb, simd<float, VL> va1,
+        simd<float, VL> vb1, simd<float, VL> va2, simd<float, VL> vb2,
+        simd<float, VL> va3, simd<float, VL> vb3, simd<float, VL> va4,
+        simd<float, VL> vb4, simd<float, VL> va5, simd<float, VL> vb5,
+        simd<float, VL> va6, simd<float, VL> vb6) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> vc = ESIMD_CALLEE_doVadd<VL>(
+      va, vb, va1, vb1, va2, vb2, va3, vb3, va4, vb4, va5, vb5, va6, vb6);
+  return vc;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/debug_symbols.cpp b/sycl/test-e2e/InvokeSimd/Regression/debug_symbols.cpp
new file mode 100644
index 0000000000000..43cb617f0687a
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/debug_symbols.cpp
@@ -0,0 +1,144 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr -g %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/* Tests invoke_simd support in the compiler/headers
+ * Test checks support for passing a debug symbols option (-g) to the compiler.
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va,
+                    esimd::simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  return va + vb;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vb = sg.load(PB.get_pointer() + offset);
+
+            // Invoke SIMD function:
+            // va values from each work-item are combined into a simd<float,
+            // VL>. vb values from each work-item are combined into a
+            // simd<float, VL>.
+            float vc = invoke_simd(sg, SIMD_CALLEE_doVadd, va, vb);
+            sg.store(PC.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_doVadd(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/dp4a.cpp b/sycl/test-e2e/InvokeSimd/Regression/dp4a.cpp
new file mode 100644
index 0000000000000..2282274aa5fee
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/dp4a.cpp
@@ -0,0 +1,131 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+// REQUIRES: gpu-intel-dg1 || gpu-intel-dg2 || gpu-intel-pvc
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/* The test checks that invoke_simd implementation performs proper call of
+ * ESIMD math function dp4a.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(SIZE)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr unsigned SIZE = 16;
+constexpr unsigned GROUPSIZE = 1;
+using DTYPE = unsigned int;
+
+ESIMD_INLINE
+esimd::simd<DTYPE, SIZE>
+ESIMD_CALLEE(esimd::simd<DTYPE, SIZE> src0, esimd::simd<DTYPE, SIZE> src1,
+             esimd::simd<DTYPE, SIZE> src2) SYCL_ESIMD_FUNCTION {
+  auto res = esimd::dp4a<DTYPE, DTYPE, DTYPE, DTYPE, SIZE>(src0, src1, src2);
+  return res;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<DTYPE, SIZE> __regcall SIMD_CALLEE(
+        simd<DTYPE, SIZE> src0, simd<DTYPE, SIZE> src1,
+        simd<DTYPE, SIZE> src2) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main() {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctx = q.get_context();
+
+  DTYPE *S0 =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctx));
+  DTYPE *S1 =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctx));
+  DTYPE *S2 =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctx));
+
+  DTYPE *RES =
+      static_cast<DTYPE *>(malloc_shared(SIZE * sizeof(DTYPE), dev, ctx));
+
+  for (unsigned i = 0; i < SIZE; ++i) {
+    S0[i] = 0x32;
+    S1[i] = 0x0102037F;
+    S2[i] = 0x0102037F;
+    RES[i] = 0xcafe;
+  }
+
+  sycl::range<1> GroupRange{SIZE};
+  sycl::range<1> TaskRange{GROUPSIZE};
+  sycl::nd_range<1> Range(GroupRange, TaskRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        uint32_t wi_id = ndi.get_global_linear_id();
+
+        DTYPE res =
+            invoke_simd(sg, SIMD_CALLEE, S0[wi_id], S1[wi_id], S2[wi_id]);
+        RES[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(S0, ctx);
+    sycl::free(S1, ctx);
+    sycl::free(S2, ctx);
+    sycl::free(RES, ctx);
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+  for (unsigned i = 0; i < SIZE; ++i) {
+    if (RES[i] != 0x3F41) {
+      err_cnt++;
+      std::cout << "failed at index " << i << ", " << RES[i] << " != 0x"
+                << std::hex << 0x3F41 << std::dec << "\n";
+    }
+  }
+
+  sycl::free(S0, ctx);
+  sycl::free(S1, ctx);
+  sycl::free(S2, ctx);
+  sycl::free(RES, ctx);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<DTYPE, SIZE> __regcall SIMD_CALLEE(
+        simd<DTYPE, SIZE> src0, simd<DTYPE, SIZE> src1,
+        simd<DTYPE, SIZE> src2) SYCL_ESIMD_FUNCTION {
+  esimd::simd<DTYPE, SIZE> res = ESIMD_CALLEE(src0, src1, src2);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/matrix_add.cpp b/sycl/test-e2e/InvokeSimd/Regression/matrix_add.cpp
new file mode 100644
index 0000000000000..ee29feb2e6fbf
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/matrix_add.cpp
@@ -0,0 +1,142 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* This program does an integer matrix addition of matrices a + b = c. Each
+ * matrix is 256 x 256. Conceptually, this program is very similar to a simple
+ * vector addition program, the only difference lies in the specification of the
+ * range (now 2D instead of 1D); the actual doVadd() functions remain the same.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<int, VL> va,
+                    esimd::simd<int, VL> vb) SYCL_ESIMD_FUNCTION {
+  return va + vb;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<int, VL> va, simd<int, VL> vb) SYCL_ESIMD_FUNCTION;
+
+int SPMD_CALLEE_doVadd(int a, int b) { return a + b; }
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  // Initialize input and output memory on the host
+  constexpr size_t N = 256; // In this 2d (N x N) matrix, there are 256 * 256 =
+                            // 65,536 total workitems.
+  // NOTE: In this program, the value of B is not really important; the only
+  // real reason we are using explicit ND range kernels (i.e., nd_range,
+  // nd_item) in this program is because we need to extract the subgroup from
+  // nd_item in order to pass it to invoke_simd(). A local range is made and so
+  // workitems in the global execution range are grouped into workgroups,
+  // however, we do not use any workgroup-specific functionality for the
+  // computation.
+  // Visualize each workgroup as a B x B sub-matrix.
+  constexpr size_t B = 4;
+  // The matrix is divided into 4 x 4 = 16 workgroups.
+  // workgroup will contain 4 subgroups of 16 workitems each.
+  constexpr unsigned GroupSize = B * B;
+
+  // Create and initialize our N x N matrices. Remember that multidimensionality
+  // is a programmer convenience implemented on top of an underlying
+  // one-dimensional space (pg. 94).
+  std::vector<int> a(N * N), b(N * N), c(N * N);
+  std::fill(a.begin(), a.end(), 1);
+  std::fill(b.begin(), b.end(), 2);
+  std::fill(c.begin(), c.end(), 0);
+
+  {
+    // Create buffers associated with inputs and output
+    buffer<int, 2> a_buf(a.data(), range<2>(N, N)),
+        b_buf(b.data(), range<2>(N, N)), c_buf(c.data(), range<2>(N, N));
+
+    try {
+      // Submit the kernel to the queue
+      auto e = q.submit([&](handler &h) {
+        accessor acc_a{a_buf, h};
+        accessor acc_b{b_buf, h};
+        accessor acc_c{c_buf, h};
+
+        // START CODE SNIP
+        range global{N, N};
+        range local{B, B};
+        h.parallel_for<class Test>(
+            nd_range{global, local}, [=](nd_item<2> ndi) SUBGROUP_ATTR {
+              int row_index = ndi.get_global_id(0);
+              int column_index = ndi.get_global_id(1);
+              int res;
+
+              if constexpr (use_invoke_simd) {
+                res = invoke_simd(ndi.get_sub_group(), SIMD_CALLEE_doVadd,
+                                  acc_a[row_index][column_index],
+                                  acc_b[row_index][column_index]);
+              } else {
+                res = SPMD_CALLEE_doVadd(acc_a[row_index][column_index],
+                                         acc_b[row_index][column_index]);
+              }
+              acc_c[row_index][column_index] = res;
+            }); // END parallel_for()
+                // END CODE SNIP
+      });       // END submit()
+      e.wait();
+    } // END try
+    catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return e.code().value();
+    }
+  }
+
+  bool passed = std::all_of(c.begin(), c.end(), [](int i) { return (i == 3); });
+  std::cout << ((passed) ? "SUCCESS" : "FAILURE") << std::endl;
+  return (passed) ? 0 : 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<int, VL> va, simd<int, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res = ESIMD_CALLEE_doVadd(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/matrix_multiply_USM.cpp b/sycl/test-e2e/InvokeSimd/Regression/matrix_multiply_USM.cpp
new file mode 100644
index 0000000000000..e2ad66016af2e
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/matrix_multiply_USM.cpp
@@ -0,0 +1,232 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* This program does an integer matrix multiplication of matrices a x b = c.
+ * Each matrix is 256 x 256. The purpose of this program is to test invoke_simd
+ * support. invoke_simd is a mechanism to invoke explicitly vectorized functions
+ * written using SIMD types from a SYCL kernel (SPMD context).
+ *
+ * There are potentially several different ways to craft a matrix multiplication
+ * to fit invoke_simd. The approach used in this program is to pack a pair of
+ * simd lanes with multiple row indices and column indices respectively, i.e.,
+ * simd row_indices = [row0, row1, row2, ..., rowN] and simd column_indices =
+ * [col0, col1, col2, ..., colN]. We use these simd lanes as parallel arrays and
+ * compute a dot product for each (row, col) pair. This means that each
+ * invocation of the ESIMD_CALLEE is responsible for computing VL separate dot
+ * products, each of which is packed back into a simd lane which is then
+ * returned to the caller in the SPMD context. Each dot product is returned
+ * individually to the caller in the SPMD context.
+ *
+ * This test is mostly the same as matrix_multiply_accessor_get_pointer.cpp, but
+ * was modified to use USM instead of buffers/accessors and now it passes.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int VL = 16;
+constexpr size_t N = 256; // In this 2d (N x N) matrix, there are 256 * 256 =
+                          // 65,536 total workitems.
+
+using namespace sycl; // For accessor.
+
+/* This invoke_simd-style function is called by the kernel to perform VL
+ * separate matrix multiplications (compute VL separate dot products) on behalf
+ * of each work-item (whose indices are passed in as arguments that act as
+ * parallel arrays whereby each pair of row_indices[i] and column_indices[i]
+ * represents an individual work-item from the execution range). For each such
+ * pair (work-item), we compute the corresponding dot product using the
+ * accessors acc_a and acc_b which wrap the underlying matrices a and b. Each
+ * resulting dot product is stored in its position in the the simd vector, which
+ * is returned from this function.
+ */
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE_computeDotProducts(esimd::simd<int, VL> row_indices,
+                                esimd::simd<int, VL> column_indices, int *X,
+                                int *Y) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> vc;
+  // Effectively unpack each simd argument to extract each individual
+  // (row_index, column_index) pair. For each pair, compute its dot product from
+  // the input matrices a and b.
+  for (int i = 0; i < VL; ++i) {
+    int dot_product = 0;
+    int row_index = row_indices[i];
+    int column_index = column_indices[i];
+    // Now that we have a (row_index, column_index) pair, compute its dot
+    // product from the input matrices a and b.
+    for (int k = 0; k < N; ++k) {
+      dot_product += X[row_index * N + k] * Y[(k * N) + column_index];
+    }
+    // Store the dot_product of the current (row_index, column_index) pair in
+    // the corresponding position of the output simd (vector).
+    vc[i] = dot_product;
+  }
+
+  return vc;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_computeDotProducts(
+        simd<int, VL> row_indices, simd<int, VL> column_indices, int *X,
+        int *Y) SYCL_ESIMD_FUNCTION;
+
+int SPMD_doVmultiply(int a, int b) { return a * b; }
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  // Initialize input and output memory on the host
+  // NOTE: In this program, the value of B is not really important (i.e., it is
+  // more or less an arbitrary value); the only reason we are using explicit ND
+  // range kernels (i.e., nd_range, nd_item) in this program is because we need
+  // to extract the subgroup from the nd_item in order to pass it to
+  // invoke_simd(), which requires a subgroup argument. A local (execution)
+  // range is defined and consequently workitems in the global execution range
+  // are grouped into workgroups, however, we do not use any this grouping or
+  // any workgroup-specific functionality for this computation (i.e., workgroup
+  // local memory, work-item communication or synchronization within a
+  // workgroup, etc.).
+  // Visualize each workgroup as a B x B sub-matrix.
+  constexpr size_t B = 4;
+  // The matrix is divided into 4 x 4 = 16 workgroups.
+  // workgroup will contain 4 subgroups of 16 workitems each.
+  constexpr unsigned GroupSize = B * B;
+
+  // Create and initialize our N x N matrices. Remember that multidimensionality
+  // is a programmer convenience implemented on top of an underlying
+  // one-dimensional space (pg. 94).
+  int *X = static_cast<int *>(malloc_shared(N * N * sizeof(int), dev, ctxt));
+  int *Y = static_cast<int *>(malloc_shared(N * N * sizeof(int), dev, ctxt));
+  int *Z = static_cast<int *>(malloc_shared(N * N * sizeof(int), dev, ctxt));
+  for (unsigned i = 0; i < N * N; ++i) {
+    X[i] = 1;
+    Y[i] = 2;
+    Z[i] = 0;
+  }
+
+  std::vector<int> a(N * N), b(N * N), c(N * N);
+  std::fill(a.begin(), a.end(), 1);
+  std::fill(b.begin(), b.end(), 2);
+  std::fill(c.begin(), c.end(), 0);
+
+  {
+    // Create buffers associated with inputs and output
+    buffer<int, 2> a_buf(a.data(), range<2>(N, N)),
+        b_buf(b.data(), range<2>(N, N)), c_buf(c.data(), range<2>(N, N));
+
+    try {
+      // Submit the kernel to the queue
+      auto e = q.submit([&](handler &h) {
+        accessor acc_a{a_buf, h};
+        accessor acc_b{b_buf, h};
+        accessor acc_c{c_buf, h};
+
+        // START CODE SNIP
+        range global{N, N};
+        range local{B, B};
+        h.parallel_for<class Test>(
+            nd_range{global, local}, [=](nd_item<2> ndi) SUBGROUP_ATTR {
+              int row_index = ndi.get_global_id(0);
+              int column_index = ndi.get_global_id(1);
+
+              if constexpr (use_invoke_simd) {
+                int res = invoke_simd(ndi.get_sub_group(),
+                                      SIMD_CALLEE_computeDotProducts, row_index,
+                                      column_index, uniform{X}, uniform{Y});
+                Z[row_index * N + column_index] = res;
+              } else {
+                for (int k = 0; k < N; ++k) {
+                  acc_c[row_index][column_index] += SPMD_doVmultiply(
+                      acc_a[row_index][k], acc_b[k][column_index]);
+                }
+              }
+            }); // END parallel_for()
+                // END CODE SNIP
+      });       // END submit()
+      e.wait();
+    } // END try
+    catch (sycl::exception const &e) {
+      sycl::free(X, ctxt);
+      sycl::free(Y, ctxt);
+      sycl::free(Z, ctxt);
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return e.code().value();
+    }
+  }
+
+  // Check that all outputs match serial execution.
+  bool passed = true;
+
+  for (int j = 0; j < N; ++j) {
+    for (int i = 0; i < N; ++i) {
+      float gold = 0;
+      for (int k = 0; k < N; ++k) {
+        gold += X[j * N + k] * Y[k * N + i];
+      }
+      if (std::abs(gold - Z[j * N + i]) / gold > 1.0E-06) {
+        passed = false;
+      }
+    }
+  }
+
+  // Debug: Print out matrices.
+  if (!passed) {
+    for (int i = 0; i < N; i++) {
+      for (int j = 0; j < N; j++) {
+        std::cout << Z[i * N + j] << ' ';
+      }
+      std::cout << '\n';
+    }
+  }
+
+  sycl::free(X, ctxt);
+  sycl::free(Y, ctxt);
+  sycl::free(Z, ctxt);
+
+  std::cout << ((passed) ? "SUCCESS" : "FAILURE") << std::endl;
+  return (passed) ? 0 : 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL simd<int, VL>
+SIMD_CALLEE_computeDotProducts(simd<int, VL> row_indices,
+                               simd<int, VL> column_indices, int *X,
+                               int *Y) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res =
+      ESIMD_CALLEE_computeDotProducts(row_indices, column_indices, X, Y);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/matrix_multiply_accessor_get_pointer.cpp b/sycl/test-e2e/InvokeSimd/Regression/matrix_multiply_accessor_get_pointer.cpp
new file mode 100644
index 0000000000000..d7a260d00a32f
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/matrix_multiply_accessor_get_pointer.cpp
@@ -0,0 +1,212 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* This program does an integer matrix multiplication of matrices a x b = c.
+ * Each matrix is 256 x 256. The purpose of this program is to test invoke_simd
+ * support. invoke_simd is a mechanism to invoke explicitly vectorized functions
+ * written using SIMD types from a SYCL kernel (SPMD context).
+ *
+ * There are potentially several different ways to craft a matrix multiplication
+ * to fit invoke_simd. The approach used in this program is to pack a pair of
+ * simd lanes with multiple row indices and column indices respectively, i.e.,
+ * simd row_indices = [row0, row1, row2, ..., rowN] and simd column_indices =
+ * [col0, col1, col2, ..., colN]. We use these simd lanes as parallel arrays and
+ * compute a dot product for each (row, col) pair. This means that each
+ * invocation of the ESIMD_CALLEE is responsible for computing VL separate dot
+ * products, each of which is packed back into a simd lane which is then
+ * returned to the caller in the SPMD context. Each dot product is returned
+ * individually to the caller in the SPMD context.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int VL = 16;
+constexpr size_t N = 16;
+
+using namespace sycl; // For accessor.
+
+/* This invoke_simd-style function is called by the kernel to perform VL
+ * separate matrix multiplications (compute VL separate dot products) on behalf
+ * of each work-item (whose indices are passed in as arguments that act as
+ * parallel arrays whereby each pair of row_indices[i] and column_indices[i]
+ * represents an individual work-item from the execution range). For each such
+ * pair (work-item), we compute the corresponding dot product using the
+ * accessors acc_a and acc_b which wrap the underlying matrices a and b. Each
+ * resulting dot product is stored in its position in the the simd vector, which
+ * is returned from this function.
+ */
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE_computeDotProducts(esimd::simd<int, VL> row_indices,
+                                esimd::simd<int, VL> column_indices, int *acc_a,
+                                int *acc_b) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> vc;
+  // Effectively unpack each simd argument to extract each individual
+  // (row_index, column_index) pair. For each pair, compute its dot product from
+  // the input matrices a and b.
+  for (int i = 0; i < VL; ++i) {
+    int dot_product = 0;
+    int row_index = row_indices[i];
+    int column_index = column_indices[i];
+    // Now that we have a (row_index, column_index) pair, compute its dot
+    // product from the input matrices a and b.
+    for (int k = 0; k < N; ++k) {
+      dot_product += acc_a[(row_index * N) + k] * acc_b[(k * N) + column_index];
+    }
+    // Store the dot_product of the current (row_index, column_index) pair in
+    // the corresponding position of the output simd (vector).
+    vc[i] = dot_product;
+  }
+
+  return vc;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE_computeDotProducts(
+        simd<int, VL> row_indices, simd<int, VL> column_indices, int *acc_a,
+        int *acc_b) SYCL_ESIMD_FUNCTION;
+
+int SPMD_doVmultiply(int a, int b) { return a * b; }
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  // Initialize input and output memory on the host
+  // NOTE: In this program, the value of B is not really important (i.e., it is
+  // more or less an arbitrary value); the only reason we are using explicit ND
+  // range kernels (i.e., nd_range, nd_item) in this program is because we need
+  // to extract the subgroup from the nd_item in order to pass it to
+  // invoke_simd(), which requires a subgroup argument. A local (execution)
+  // range is defined and consequently workitems in the global execution range
+  // are grouped into workgroups, however, we do not use any this grouping or
+  // any workgroup-specific functionality for this computation (i.e., workgroup
+  // local memory, work-item communication or synchronization within a
+  // workgroup, etc.).
+  // Visualize each workgroup as a B x B sub-matrix.
+  constexpr size_t B = 4;
+  // The matrix is divided into 4 x 4 = 16 workgroups.
+  // workgroup will contain 4 subgroups of 16 workitems each.
+  constexpr unsigned GroupSize = B * B;
+
+  // Create and initialize our N x N matrices. Remember that multidimensionality
+  // is a programmer convenience implemented on top of an underlying
+  // one-dimensional space (pg. 94).
+  std::vector<int> a(N * N), b(N * N), c(N * N);
+  std::fill(a.begin(), a.end(), 1);
+  std::fill(b.begin(), b.end(), 2);
+  std::fill(c.begin(), c.end(), 0);
+
+  {
+    // Create buffers associated with inputs and output
+    buffer<int, 2> a_buf(a.data(), range<2>(N, N)),
+        b_buf(b.data(), range<2>(N, N)), c_buf(c.data(), range<2>(N, N));
+
+    try {
+      // Submit the kernel to the queue
+      auto e = q.submit([&](handler &h) {
+        accessor acc_a{a_buf, h};
+        accessor acc_b{b_buf, h};
+        accessor acc_c{c_buf, h};
+
+        // START CODE SNIP
+        range global{N, N};
+        range local{B, B};
+        h.parallel_for<class Test>(
+            nd_range{global, local}, [=](nd_item<2> ndi) SUBGROUP_ATTR {
+              int row_index = ndi.get_global_id(0);
+              int column_index = ndi.get_global_id(1);
+
+              if constexpr (use_invoke_simd) {
+                int res = invoke_simd(
+                    ndi.get_sub_group(), SIMD_CALLEE_computeDotProducts,
+                    row_index, column_index, uniform{acc_a.get_pointer()},
+                    uniform{acc_b.get_pointer()});
+                acc_c[row_index][column_index] = res;
+              } else {
+                for (int k = 0; k < N; ++k) {
+                  acc_c[row_index][column_index] += SPMD_doVmultiply(
+                      acc_a[row_index][k], acc_b[k][column_index]);
+                }
+              }
+            }); // END parallel_for()
+                // END CODE SNIP
+      });       // END submit()
+      e.wait();
+    } // END try
+    catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return e.code().value();
+    }
+  }
+
+  // Check that all outputs match serial execution.
+  bool passed = true;
+  for (int j = 0; j < N; ++j) {
+    for (int i = 0; i < N; ++i) {
+      float gold = 0;
+      for (int k = 0; k < N; ++k) {
+        gold += a[j * N + k] * b[k * N + i];
+      }
+      if (std::abs(gold - c[j * N + i]) / gold > 1.0E-06) {
+        passed = false;
+      }
+    }
+  }
+
+  std::cout << ((passed) ? "SUCCESS" : "FAILURE") << std::endl;
+
+  // DEBUG: Print failing results
+  if (!passed) {
+    for (int i = 0; i < N; i++) {
+      for (int j = 0; j < N; j++) {
+        std::cout << c[(i * N) + j] << ((j == N - 1) ? '\n' : ' ');
+      }
+    }
+  }
+
+  return (passed) ? 0 : 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL simd<int, VL>
+SIMD_CALLEE_computeDotProducts(simd<int, VL> row_indices,
+                               simd<int, VL> column_indices, int *acc_a,
+                               int *acc_b) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res = ESIMD_CALLEE_computeDotProducts(
+      row_indices, column_indices, acc_a, acc_b);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/nbarrier_basic.cpp b/sycl/test-e2e/InvokeSimd/Regression/nbarrier_basic.cpp
new file mode 100644
index 0000000000000..dc3b79304b819
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/nbarrier_basic.cpp
@@ -0,0 +1,97 @@
+// TODO: enable on Windows once driver is ready
+// NOTE: named barrier supported only since PVC
+// REQUIRES: gpu-intel-pvc && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira issue resolved, currently fail with VISALTO enable
+// XFAIL: gpu-intel-pvc
+//
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * Test checks basic support for named barriers in invoke_simd context.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/experimental/esimd/memory.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+namespace experimental_esimd = sycl::ext::intel::experimental::esimd;
+
+constexpr int Size = 4096;
+constexpr int VL = 16;
+
+class Test {};
+
+ESIMD_INLINE void ESIMD_CALLEE_nbarrier(nd_item<1> *ndi) SYCL_ESIMD_FUNCTION {
+  const uint8_t BARNUM = 32;
+  experimental_esimd::named_barrier_init<BARNUM>();
+
+  uint8_t barrier_id = 1;
+  uint8_t producer_consumer_mode = 0;
+  uint32_t num_producers = 16;
+  uint32_t num_consumers = 16;
+  __ESIMD_ENS::named_barrier_signal(barrier_id, producer_consumer_mode,
+                                    num_producers, num_consumers);
+  __ESIMD_ENS::named_barrier_wait(barrier_id);
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE_nbarrier(
+    nd_item<1> *ndi) SYCL_ESIMD_FUNCTION;
+
+int main(void) {
+  auto Queue = queue{gpu_selector_v};
+  auto Device = Queue.get_device();
+
+  std::cout << "Running on " << Device.get_info<sycl::info::device::name>()
+            << "\n";
+  try {
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{16 * 16};
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{16 * 16};
+
+    auto e = Queue.submit([&](handler &cgh) {
+      cgh.parallel_for<Test>(nd_range<1>(GlobalRange, LocalRange),
+                             [=](nd_item<1> item) SUBGROUP_ATTR {
+                               sycl::group<1> g = item.get_group();
+                               sycl::sub_group sg = item.get_sub_group();
+                               invoke_simd(sg, SIMD_CALLEE_nbarrier,
+                                           uniform{&item});
+                             });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  return 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE_nbarrier(
+    nd_item<1> *ndi) SYCL_ESIMD_FUNCTION {
+  ESIMD_CALLEE_nbarrier(ndi);
+  return;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/nbarrier_exec_in_order.cpp b/sycl/test-e2e/InvokeSimd/Regression/nbarrier_exec_in_order.cpp
new file mode 100644
index 0000000000000..392451f884d84
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/nbarrier_exec_in_order.cpp
@@ -0,0 +1,202 @@
+// TODO: enable on Windows once driver is ready
+// NOTE: named barrier supported only since PVC
+// REQUIRES: gpu-intel-pvc && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira issue resolved, currently fail with VISALTO enable
+// XFAIL: gpu-intel-pvc
+//
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * Test checks basic support for named barriers in invoke_simd context.
+ * Threads are executed in ascending order of their local ID and each thread
+ * stores data to addresses that partially overlap with addresses used by
+ * previous thread.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/intel/experimental/esimd/memory.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+namespace experimental_esimd = sycl::ext::intel::experimental::esimd;
+
+constexpr int VL = 16;
+template <int case_num> class KernelID;
+
+template <unsigned Threads, unsigned Size, bool UseSLM>
+ESIMD_INLINE void ESIMD_CALLEE_nbarrier(int localID,
+                                        int *o) SYCL_ESIMD_FUNCTION {
+  // Threads - 1 named barriers required
+  // but id 0 reserved for unnamed
+  experimental_esimd::named_barrier_init<Threads>();
+
+  int flag = 0; // producer-consumer mode
+  int producers = 2;
+  int consumers = 2;
+
+  // overlaping offsets
+  unsigned int off = VL * localID / 2;
+  unsigned int off_slm = off * sizeof(int);
+  esimd::simd<int, VL> val(localID);
+
+  if constexpr (UseSLM) {
+    /* TODO: SLM has to be allocated of outside invoke_simd, but propper
+     * intarface is not yet ready. Current test implementation in this regard
+     * is a subject to future changes.
+     */
+    esimd::slm_init(Size * sizeof(int));
+    esimd::simd<int, VL> zero(0);
+    experimental_esimd::lsc_slm_block_store<int, VL>(2 * off_slm, zero);
+  }
+  esimd::barrier();
+
+  // Threads are executed in ascending order of their local ID and
+  // each thread stores data to addresses that partially overlap with
+  // addresses used by previous thread.
+
+  // localID == 0 skips this branch and goes straight to lsc_surf_store
+  // localID == 1 signals barrier 1
+  // localID == 2 signals barrier 2
+  // localID == 3 signals barrier 3
+  // and so on
+  if (localID > 0) {
+    int barrier_id = localID;
+    __ESIMD_ENS::named_barrier_signal(barrier_id, flag, producers, consumers);
+    __ESIMD_ENS::named_barrier_wait(barrier_id);
+  }
+
+  if constexpr (UseSLM)
+    experimental_esimd::lsc_slm_block_store<int, VL>(off_slm, val);
+  else
+    experimental_esimd::lsc_block_store<int, VL>(o + off, val);
+
+  experimental_esimd::lsc_fence();
+
+  // localID == 0 arrives here first and signals barrier 1
+  // localID == 1 arrives here next and signals barrier 2
+  // localID == 2 arrives here next and signals barrier 3
+  // and so on, but last thread skipped this block
+  if (localID < Threads - 1) {
+    int barrier_id = localID + 1;
+    __ESIMD_ENS::named_barrier_signal(barrier_id, flag, producers, consumers);
+    __ESIMD_ENS::named_barrier_wait(barrier_id);
+  }
+
+  esimd::barrier();
+  if constexpr (UseSLM) {
+    auto res = experimental_esimd::lsc_slm_block_load<int, VL>(2 * off_slm);
+    experimental_esimd::lsc_block_store<int, VL>(o + 2 * off, res);
+  }
+}
+
+template <unsigned Threads, unsigned Size, bool UseSLM>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE_nbarrier(
+    int localID, int *o) SYCL_ESIMD_FUNCTION {
+  ESIMD_CALLEE_nbarrier<Threads, Size, UseSLM>(localID, o);
+}
+
+template <int case_num, unsigned Threads, bool UseSLM, class QueueTY>
+bool test(QueueTY q) {
+  // number of ints stored by each thread
+  constexpr unsigned Size = VL * Threads;
+
+  static_assert(Threads % 2 == 0, "Number of threads must be even");
+  std::cout << "Case #" << case_num << "\n\tTreads: " << Threads
+            << "\n\tInts per thread: " << VL
+            << "\n\tMemory: " << (UseSLM ? "local\n" : "global\n");
+
+  auto *out = malloc_shared<int>(Size, q);
+  for (int i = 0; i < Size; i++) {
+    out[i] = -1;
+  }
+
+  try {
+    // workgroups
+    sycl::range<1> GlobalRange{Size};
+    // threads in each group
+    sycl::range<1> LocalRange{Threads};
+    sycl::nd_range<1> Range{GlobalRange * LocalRange, LocalRange};
+
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<KernelID<case_num>>(
+          nd_range<1>(GlobalRange, LocalRange),
+          // This test requires an explicit specification of the subgroup size
+          [=](nd_item<1> item) [[intel::reqd_sub_group_size(VL)]] {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+            uint32_t i =
+                sg.get_group_linear_id() * VL + g.get_linear_id() * Threads;
+            uint32_t wi_id = i + sg.get_local_id();
+            // Thread local ID in ESIMD context
+            int localID = wi_id / VL;
+            invoke_simd(sg, SIMD_CALLEE_nbarrier<Threads, Size, UseSLM>,
+                        uniform{localID}, uniform{out});
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(out, q);
+    return false;
+  }
+
+  bool passed = true;
+  for (int i = 0; i < Size; i++) {
+    int etalon = i * 2 * Threads / Size;
+    if (etalon == Threads) // last stored chunk
+      etalon -= 1;
+    if (etalon > Threads) // excessive part of surface
+      etalon = 0;
+    if (out[i] != etalon) {
+      passed = false;
+      std::cout << "out[" << i << "]=" << out[i] << " vs " << etalon << "\n";
+    }
+  }
+
+  free(out, q);
+
+  std::cout << (passed ? " Passed\n" : " FAILED\n");
+  return passed;
+}
+
+int main() {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  passed &= test<1, 2, false>(q);
+  passed &= test<2, 4, false>(q);
+  passed &= test<3, 8, false>(q);
+  passed &= test<4, 16, false>(q);
+
+  /* TODO: Enable the sub-tests with UseSLM=true after the issue with SLM
+   * initialization is fixed.
+   *
+     passed &= test<5, 2, true>(q);
+     passed &= test<6, 4, true>(q);
+     passed &= test<7, 8, true>(q);
+     passed &= test<8, 16, true>(q);
+   */
+
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/slm_load_store.cpp b/sycl/test-e2e/InvokeSimd/Regression/slm_load_store.cpp
new file mode 100644
index 0000000000000..de737ed3348d2
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/slm_load_store.cpp
@@ -0,0 +1,121 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira issue resolved
+// REQUIRES: TEMPORARY_DISABLED
+//
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * Test check basic support of local memory access in invoke_simd.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+class Test {};
+
+using dtype = int;
+
+constexpr int VL = 16;
+constexpr int slm_size = 32 * 1024;
+
+ESIMD_INLINE void slm_load_store_test(nd_item<1> *ndi, dtype *A,
+                                      dtype *C) SYCL_ESIMD_FUNCTION {
+  /* TODO: SLM has to be allocated of outside invoke_simd, but propper
+   * intarface is not yet ready. Current test implementation in this regard
+   * is a subject to future changes.
+   */
+  esimd::slm_init<slm_size>();
+
+  esimd::simd<dtype, VL> src_vec(0);
+  src_vec.copy_from(A);
+  esimd::slm_block_store<dtype, VL>(0, src_vec);
+
+  esimd::simd<dtype, VL> dest_vec(0);
+  dest_vec = esimd::slm_block_load<dtype, VL>(0);
+  dest_vec.copy_to(C);
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall invoke_slm_load_store_test(
+    nd_item<1> *ndi, dtype *A, dtype *C) SYCL_ESIMD_FUNCTION;
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  std::cout << "Local Memory Size: "
+            << q.get_device().get_info<sycl::info::device::local_mem_size>()
+            << std::endl;
+  auto *A = malloc_shared<dtype>(VL, q);
+  auto *C = malloc_shared<dtype>(VL, q);
+
+  for (auto i = 0; i < VL; i++) {
+    A[i] = i;
+    C[i] = 0;
+  }
+  try {
+    sycl::nd_range<1> Range({1}, {1});
+
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<Test>(Range, [=](nd_item<1> item) SUBGROUP_ATTR {
+        sycl::group<1> g = item.get_group();
+        sycl::sub_group sg = item.get_sub_group();
+        invoke_simd(sg, invoke_slm_load_store_test, uniform{&item}, uniform{A},
+                    uniform{C});
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    free(A, q);
+    free(C, q);
+    return e.code().value();
+  }
+
+  bool pass = true;
+  for (auto i = 0; i < VL; i++) {
+    if (A[i] != C[i]) {
+      std::cout << " C[" << i << "]:" << C[i] << ", A[" << i << "]:" << A[i]
+                << std::endl;
+      pass = false;
+    }
+  }
+
+  free(A, q);
+  free(C, q);
+
+  std::cout << "Test result: " << (pass ? "Pass" : "Fail") << std::endl;
+  return pass ? 0 : 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall invoke_slm_load_store_test(
+    nd_item<1> *ndi, dtype *A, dtype *C) SYCL_ESIMD_FUNCTION {
+  slm_load_store_test(ndi, A, C);
+}
diff --git a/sycl/test-e2e/InvokeSimd/Regression/tiled_matrix_multiplication.cpp b/sycl/test-e2e/InvokeSimd/Regression/tiled_matrix_multiplication.cpp
new file mode 100644
index 0000000000000..c1103848fa10d
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Regression/tiled_matrix_multiplication.cpp
@@ -0,0 +1,230 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* This program does an integer matrix multiplication of matrices A * B = C, in
+ * a tiled fashion, using work-group local memory as an optimization. "In a
+ * tiled fashion" means that each work-item (m, n), which computes the dot
+ * product of the row m of A and the column n of B, processes "tiles" (chunks or
+ * sub-vectors) of A and B, instead of the whole vector in one go. We introduce
+ * invoke_simd when loading each tile of A; each work-item in the work-group
+ * loads only its corresponding row element of the current tile of A, and
+ * invoke_simd implicitly accumulates, across all the work-items in the
+ * work-group, each such row element value into its corresponding position in a
+ * SIMD lane, and then the SIMD_CALLEE simply returns this packed SIMD, which
+ * then gets implicitly unpacked (serialized), and each row element value gets
+ * stored into the tile in local memory. Think of this as the work-items
+ * collectively loading the current tile with the help of invoke_simd. Note that
+ * this is an artificial and contrived use of invoke_simd, as the alternative,
+ * which is just to have each work-item directly load its row element from A and
+ * store it directly into its place in the tile, works just as well and is maybe
+ * even faster. After loading the tile, each work-item proceeds to independently
+ * compute the sub-dot product of the sub-vectors tileA and the sub-vector from
+ * the corresponding column of matrix B. Then, this processe is repeated for the
+ * next tile, until eventually, all tiles have been processed and their sub-dot
+ * products have been accumulated into sum. Then, sum is stored at C[m][n].
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<int, VL>
+ESIMD_CALLEE(esimd::simd<int, VL> va) SYCL_ESIMD_FUNCTION {
+  return va;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE(simd<int, VL> va) SYCL_ESIMD_FUNCTION;
+
+int SPMD_CALLEE_doVadd(int a, int b) { return a + b; }
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+constexpr bool invoke_simd_debug = false; // toogle debug print
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  // Initialize input and output memory on the host
+  constexpr size_t M = 16 * 2;
+  constexpr size_t N = 16 * 2;
+  // In this 2d (M x N) matrix, there are 32 * 32 = 1024 total workitems.
+  // constexpr size_t N = 256; // In this 2d (N x N) matrix, there are
+  // 256 * 256 = 65,536 total workitems.
+
+  // Create and initialize our M x N matrices. Remember that multidimensionality
+  // is a programmer convenience implemented on top of an underlying
+  // one-dimensional space (pg. 94).
+  std::vector<int> a(M * N), b(M * N), c(M * N);
+  std::fill(a.begin(), a.end(), 1);
+  for (int m = 0; m < M; m++) {
+    for (int n = 0; n < N; n++) {
+      b[(m * M) + n] = (m * M) + n;
+    }
+  }
+  std::fill(c.begin(), c.end(), 0);
+
+  {
+    // Create buffers associated with inputs and output
+    buffer<int, 2> a_buf(a.data(), range<2>(M, N)),
+        b_buf(b.data(), range<2>(M, N)), c_buf(c.data(), range<2>(M, N));
+
+    try {
+      // Submit the kernel to the queue
+      auto e = q.submit([&](handler &h) {
+        accessor acc_a{a_buf, h};
+        accessor acc_b{b_buf, h};
+        accessor acc_c{c_buf, h};
+
+        // 1D local accessor, for one matrix tile:
+        constexpr int tile_size = 16;
+        auto tileA = sycl::local_accessor<int, 1>(tile_size, h);
+
+        // START CODE SNIP
+        range global{M, N};
+        range local{1, tile_size};
+        // range local{B, B};
+        h.parallel_for<class Test>(
+            nd_range{global, local}, [=](nd_item<2> ndi) SUBGROUP_ATTR {
+              // Indices in the global index space:
+              int m = ndi.get_global_id(0); // Global row index
+              int n = ndi.get_global_id(1); // Global column index
+
+              // Index in the local index space:
+              int i = ndi.get_local_id(1); // Local index
+              int sum = 0;
+
+              if constexpr (use_invoke_simd) {
+                for (int kk = 0; kk < M; kk += tile_size) {
+                  // Load the matrix tile from matrix A, and synchronize
+                  // to ensure all work-items have a consistent view
+                  // of the matrix tile in local memory.
+                  // NOTE: I've chosen to introduce the invoke_simd call here.
+                  // We implicitly parallelize the loading of the tile; each
+                  // work-item i in the work-group loads its corresponding tile
+                  // element from matrix A (acc_a) in global memory. This seems
+                  // like the only place where it makes sense and is easily
+                  // implementable to insert invoke_simd. Remember, invoke_simd
+                  // implicitly parallelizes some aspect of the workload across
+                  // the work-items belonging to the same workgroup. This seems
+                  // like the only aspect that is parallelizable ACROSS the
+                  // work-items in a work-group. Ideally, in a matrix multiply,
+                  // we want to parallelize the vector dot product computation
+                  // carried out by a single work-item, but this is the wrong
+                  // level of granularity for invoke_simd; this is
+                  // intra-work-item granularity, whereas invoke_simd is
+                  // intra-work-group (inter-work-item) granularity.
+                  tileA[i] = invoke_simd(ndi.get_sub_group(), SIMD_CALLEE,
+                                         acc_a[m][kk + i]);
+                  // NOTE: Because invoke_simd implicitly synchronizes the
+                  // work-items, we don't have to do so explicitly here.
+                  // ndi.barrier();
+
+                  // Perform computation using the local memory tile, and
+                  // matrix B in global memory.
+                  for (int k = 0; k < tile_size; k++) {
+                    sum += tileA[k] * acc_b[kk + k][n];
+                  }
+
+                  // After computation, synchronize again, to ensure all
+                  // reads from local memory tile are complete.
+                  ndi.barrier();
+                } // END outer loop
+              } else {
+                int res = SPMD_CALLEE_doVadd(acc_a[m][n], acc_b[m][n]);
+              }
+              // Write the final result to global memory.
+              acc_c[m][n] = sum;
+            }); // END parallel_for()
+                // END CODE SNIP
+      });       // END submit()
+      e.wait();
+    } // END try
+    catch (sycl::exception const &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return e.code().value();
+    }
+  }
+
+  // Check the result of the matrix multiplication.
+  // Simply do the same matrix multiplication and check
+  // each result as you go.
+  int matrixA[M][N];
+  int matrixB[M][N];
+  int matrixC[M][N];
+
+  for (int m = 0; m < M; m++) {
+    for (int n = 0; n < N; n++) {
+      matrixA[m][n] = 1;
+      matrixB[m][n] = (m * M) + n;
+      matrixC[m][n] = 0;
+    }
+  }
+
+  bool passed = true;
+
+  for (int m = 0; m < M; m++) {
+    for (int n = 0; n < N; n++) {
+      int dotProduct = 0;
+      for (int k = 0; k < M; k++) {
+        dotProduct += matrixA[m][k] * matrixB[k][n];
+      }
+      matrixC[m][n] = dotProduct;
+      // Check this result against that of the original matrix multiplication
+      if (matrixC[m][n] != c[(m * M) + n]) {
+        passed = false;
+      }
+
+      if constexpr (invoke_simd_debug) {
+        if (n == 0) {
+          std::cout << '\n';
+        }
+        std::cout << c[(m * M) + n] << " ";
+      }
+    }
+  }
+
+  std::cout << ((passed) ? "SUCCESS" : "FAILURE") << std::endl;
+  return (passed) ? 0 : 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<int, VL> __regcall SIMD_CALLEE(simd<int, VL> va) SYCL_ESIMD_FUNCTION {
+  esimd::simd<int, VL> res = ESIMD_CALLEE(va);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ESIMD_to_unmarked_function.cpp b/sycl/test-e2e/InvokeSimd/Spec/ESIMD_to_unmarked_function.cpp
new file mode 100644
index 0000000000000..d9d814d331f28
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ESIMD_to_unmarked_function.cpp
@@ -0,0 +1,176 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test case specification:
+ * -----------------------
+ * Test and report errors if invoked ESIMD function calls SPMD function.
+ *
+ * Test case description:
+ * ---------------------
+ * This is an additional test case to increase test coverage. It tests a
+ * happy-path. ESIMD_CALLEE_doVadd() calls doVadd(), which is an entirely
+ * unmarked function (not tagged with SYCL_EXTERNAL nor SYCL_ESIMD_FUNCTION).
+ * Such a function "is treated as ESIMD if called froma within ESIMD code"
+ * and is treated as SPMD if called from within SPMD (SYCL) code.
+ *
+ * Currently, this test case passes because no rules are violated; the unmarked
+ * function doVadd() is treated as ESIMD when called from within ESIMD code
+ * (ESIMD_CALLEE_doVadd()), and as SPMD when called from within SPMD code.
+ * Therefore, we never go from ESIMD to SPMD, or from SPMD to ESIMD in this test
+ * case.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 64 iterations that process 16 elements each
+constexpr int Size = 1024;
+// constexpr int Size = 1024 * 128;
+constexpr int VL = 16;
+
+/* This unmarked function will be treated the same as its calling context;
+ * if it is called from within ESIMD code, it will be treated as ESIMD,
+ * if it is called from within SPMD code, it will be treated as SPMD.
+ */
+// SYCL_EXTERNAL
+float doVadd(float a, float b) { return a + b; }
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va,
+                    esimd::simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> vc;
+  for (int i = 0; i < VL; ++i) {
+    float a = va[i];
+    float b = vb[i];
+    vc[i] = doVadd(a, b);
+  }
+  return vc;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vb = sg.load(PB.get_pointer() + offset);
+            float vc;
+
+            if constexpr (use_invoke_simd) {
+              vc = invoke_simd(sg, SIMD_CALLEE_doVadd, va, vb);
+            } else {
+              vc = doVadd(va, vb);
+            }
+            sg.store(PC.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_doVadd(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/ESIMD_to_unmarked_function.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/ESIMD_to_unmarked_function.cpp
new file mode 100644
index 0000000000000..47c139f6aa0b4
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/ESIMD_to_unmarked_function.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../ESIMD_to_unmarked_function.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/ESIMD_to_unmarked_function.cpp,
+ * but compiles without optional subgroup attribute specified and intended to
+ * check that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/function_overloads.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/function_overloads.cpp
new file mode 100644
index 0000000000000..640aab58f4afd
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/function_overloads.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../function_overloads.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/function_overloads.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/multiple_SPMD_to_multiple_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/multiple_SPMD_to_multiple_ESIMD.cpp
new file mode 100644
index 0000000000000..34d152d7eff81
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/multiple_SPMD_to_multiple_ESIMD.cpp
@@ -0,0 +1,17 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../multiple_SPMD_to_multiple_ESIMD.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as
+ * InvokeSimd/spec/multiple_SPMD_to_multiple_ESIMD.cpp, but compiles without
+ * optional subgroup attribute specified and intended to check that compiler
+ * is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/multiple_SPMD_to_single_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/multiple_SPMD_to_single_ESIMD.cpp
new file mode 100644
index 0000000000000..d7a54b5b9fbbc
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/multiple_SPMD_to_single_ESIMD.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../multiple_SPMD_to_single_ESIMD.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/multiple_SPMD_to_single_ESIMD.cpp,
+ * but compiles without optional subgroup attribute specified and intended to
+ * check that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/nested_ESIMD_to_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/nested_ESIMD_to_ESIMD.cpp
new file mode 100644
index 0000000000000..4ed614af75bba
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/nested_ESIMD_to_ESIMD.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../nested_ESIMD_to_ESIMD.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/nested_ESIMD_to_ESIMD.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/nested_SPMD_to_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/nested_SPMD_to_ESIMD.cpp
new file mode 100644
index 0000000000000..094cba1d52113
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/nested_SPMD_to_ESIMD.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../nested_SPMD_to_ESIMD.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/nested_SPMD_to_ESIMD.cpp, but
+ * compiles without optional subgroup attribute specified and intended to check
+ * that compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/simd_mask.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/simd_mask.cpp
new file mode 100644
index 0000000000000..d8a17d3eee8ce
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/simd_mask.cpp
@@ -0,0 +1,16 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../simd_mask.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/simd_mask.cpp, but compiles without
+ * optional subgroup attribute specified and intended to check that compiler is
+ * able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple.cpp
new file mode 100644
index 0000000000000..b6ea1458c1a55
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../tuple.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/tuple.cpp, but compiles without
+ * optional subgroup attribute specified and intended to check that compiler is
+ * able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple_return.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple_return.cpp
new file mode 100644
index 0000000000000..6627cb0732add
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple_return.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../tuple_return.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/tuple_return.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple_vadd.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple_vadd.cpp
new file mode 100644
index 0000000000000..37538897e4123
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/tuple_vadd.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../tuple_vadd.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/tuple_vadd.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/uniform_retval.cpp b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/uniform_retval.cpp
new file mode 100644
index 0000000000000..ba1b4f0e60c41
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/ImplicitSubgroup/uniform_retval.cpp
@@ -0,0 +1,19 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -DIMPL_SUBGROUP -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %S/../uniform_retval.cpp -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * This tests is the same as InvokeSimd/spec/uniform_retval.cpp, but compiles
+ * without optional subgroup attribute specified and intended to check that
+ * compiler is able to choose subgroup size correctly.
+ */
diff --git a/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/ESIMD_to_SPMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/ESIMD_to_SPMD.cpp
new file mode 100644
index 0000000000000..ec51165606b42
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/ESIMD_to_SPMD.cpp
@@ -0,0 +1,101 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: not %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out 2>&1 | FileCheck %s
+//
+// Tests invoke_simd support in the compiler/headers
+
+/* Test case specification: Test and report errors if invoked ESIMD function
+ * calls SPMD function.
+ *
+ * This test case is based on the assumption that ESIMD functions can't call
+ * SPMD functions, as there is no mechanism for this described in ESIMD
+ * specification.
+ *
+ * In this test case, ESIMD_CALLEE_doVadd() calls SPMD_CALLEE_doVadd().
+ * Currently, the compilation fails, which is good.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 64 iterations that process 16 elements each
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+/* Here are 2 possible interpretations for the SPMD functions. Each function
+ * contributes to a vector add operation, but the first one is performed on
+ * scalar values and the other is performed on vectors. They both cause
+ * compile-time errors, but the errors are different. Currently, the second,
+ * vector-based function does not compile, even if it's not called. That is, the
+ * definition itself is not allowed (hence it's commented out for now). The
+ * scalar-based function definition compiles without error, but a call to it is
+ * not allowed by the compiler and gives the following error:
+ *
+ * "error: SYCL device function cannot be called from an ESIMD context"
+ */
+SYCL_EXTERNAL float SPMD_CALLEE_doVadd_scalar(float a, float b) {
+  return a + b;
+}
+
+/* This SPMD function is called by an ESIMD function and should not compile. */
+SYCL_EXTERNAL simd<float, VL> SPMD_CALLEE_doVadd_vector(simd<float, VL> va,
+                                                        simd<float, VL> vb) {
+  // SYCL kernel cannot call an undefined function without SYCL_EXTERNAL
+  // attribute emulate '+' on simd operands
+  simd<float, VL> vc;
+  for (int i = 0; i < VL; ++i) {
+    vc[i] = va[i] + vb[i];
+  }
+  return vc;
+}
+
+/* Value of this flag doesn't really matter as both 'if constexpr' branches are
+ * compiled and both must fail the same way.
+ */
+constexpr bool use_vector = true; // false;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va,
+                    esimd::simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  if constexpr (use_vector) {
+    return SPMD_CALLEE_doVadd_vector(va, vb);
+    // CHECK: {{.*}}error: SYCL device function cannot be called from an ESIMD context{{.*}}
+  }
+
+  esimd::simd<float, VL> vc;
+  for (int i = 0; i < VL; ++i) {
+    float a = va[i];
+    float b = vb[i];
+    // This should cause an error.
+    vc[i] = SPMD_CALLEE_doVadd_scalar(a, b);
+    // CHECK: {{.*}}error: SYCL device function cannot be called from an ESIMD context{{.*}}
+  }
+  return vc;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION;
+
+int main(void) {
+  // Test should not be executed, clang compile fail expected.
+  return 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_doVadd(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/accessor_argument.cpp b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/accessor_argument.cpp
new file mode 100644
index 0000000000000..b1fa832a8ae86
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/accessor_argument.cpp
@@ -0,0 +1,134 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// RUN: not %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out 2>&1 | FileCheck %s
+//
+// The spec only allows scalar types
+// (http://eel.is/c++draft/basic.types.general#def:type,scalar)
+// TODO FIXME: Compile must fail with meaningful error message, but currently it
+// compiles with no error
+// XFAIL: gpu
+/*
+ * Test case specification: Test and report errors if accessor argument is
+ * passed to invoked ESIMD function
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+template <typename AccessorTy>
+ESIMD_INLINE esimd::simd<float, VL> ESIMD_CALLEE(AccessorTy acc,
+                                                 esimd::simd<float, VL> b,
+                                                 int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a;
+  a.copy_from(acc, i * sizeof(float));
+  return a + b;
+}
+
+template <typename AccessorTy>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(AccessorTy acc, simd<float, VL> b,
+                                          int i) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctx = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctx));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctx));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctx));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    buffer<float, 1> buf(A, range<1>(Size));
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acc = buf.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          Range, [=](nd_item<1> ndi) [[intel::reqd_sub_group_size(VL)]] {
+            sub_group sg = ndi.get_sub_group();
+            group<1> g = ndi.get_group();
+            uint32_t i = sg.get_group_linear_id() * VL +
+                         g.get_group_linear_id() * GroupSize;
+            uint32_t wi_id = i + sg.get_local_id();
+
+            float res = invoke_simd(sg, SIMD_CALLEE<decltype(acc)>,
+                                    uniform{acc}, B[wi_id], uniform{i});
+            // CHECK: TODO FIXME
+            C[wi_id] = res;
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctx);
+    sycl::free(B, ctx);
+    sycl::free(C, ctx);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+
+  sycl::free(A, ctx);
+  sycl::free(B, ctx);
+  sycl::free(C, ctx);
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+template <typename AccessorTy>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(AccessorTy acc, simd<float, VL> b,
+                                          int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE<AccessorTy>(acc, b, i);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/recurs.cpp b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/recurs.cpp
new file mode 100644
index 0000000000000..7a57dbf0bda9a
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/recurs.cpp
@@ -0,0 +1,45 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: not %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out 2>&1 | FileCheck %s
+/*
+  Test case specification: Test and report errors if invoked ESIMD function
+  is recursive.
+*/
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+ESIMD_INLINE
+esimd::simd<float, VL>
+ESIMD_CALLEE(esimd::simd<float, VL> a) SYCL_ESIMD_FUNCTION {
+  return a.select<1, 1>(0) == 0 ? a : ESIMD_CALLEE(a + 1);
+  // CHECK: {{.*}}error: SYCL kernel cannot call a recursive function{{.*}}
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(simd<float, VL> a)
+        SYCL_ESIMD_FUNCTION;
+
+int main(void) {
+  // Test should not be executed, clang compile fail expected.
+  return 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(simd<float, VL> a)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(a);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/reference_argument.cpp b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/reference_argument.cpp
new file mode 100644
index 0000000000000..f60db8c5ff8a2
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/reference_argument.cpp
@@ -0,0 +1,130 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// RUN: not %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out 2>&1 | FileCheck %s
+//
+// TODO FIXME: Currently compile fail with "no or multiple invoke_simd targets
+// found"
+// XFAIL: gpu
+/*
+ * Test case specification: Test and report errors if reference argument is
+ * passed to invoked ESIMD function
+ */
+
+#include <CL/sycl.hpp>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+using int_ref = int &;
+
+template <typename IntRefTy>
+ESIMD_INLINE esimd::simd<float, VL>
+ESIMD_CALLEE(float *A, esimd::simd<float, VL> b,
+             IntRefTy i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a;
+  a.copy_from(A + i);
+  return a + b;
+}
+
+template <typename IntRefTy>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b,
+                                          IntRefTy i) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctx = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctx));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctx));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctx));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(
+          Range, [=](nd_item<1> ndi) [[intel::reqd_sub_group_size(VL)]] {
+            sub_group sg = ndi.get_sub_group();
+            group<1> g = ndi.get_group();
+            uint32_t i = sg.get_group_linear_id() * VL +
+                         g.get_group_linear_id() * GroupSize;
+            uint32_t wi_id = i + sg.get_local_id();
+
+            float res = invoke_simd(sg, SIMD_CALLEE<int_ref>, uniform{A},
+                                    B[wi_id], uniform{i});
+            // CHECK: TODO FIXME
+            C[wi_id] = res;
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctx);
+    sycl::free(B, ctx);
+    sycl::free(C, ctx);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+
+  sycl::free(A, ctx);
+  sycl::free(B, ctx);
+  sycl::free(C, ctx);
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+template <typename IntRefTy>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b,
+                                          IntRefTy i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE<IntRefTy>(A, b, i);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/sycl_marray_argument.cpp b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/sycl_marray_argument.cpp
new file mode 100644
index 0000000000000..351d480c2e4f5
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/sycl_marray_argument.cpp
@@ -0,0 +1,50 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: not %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out 2>&1 | FileCheck %s
+/*
+  Test case specification: Test and report errors if sycl::marray argument
+  passed to invoked ESIMD function.
+*/
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+ESIMD_INLINE
+esimd::simd<float, VL>
+ESIMD_CALLEE(float *A, esimd::simd<float, VL> b, int i,
+             sycl::marray<float, VL> m) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a;
+  a.copy_from(A + i);
+  return a + b + m[i % VL];
+  // CHECK: {{.*}}error: function 'sycl::{{.*}}marray<{{.*}}' is not supported in ESIMD context{{.*}}
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b, int i,
+                                          sycl::marray<float, VL> m)
+        SYCL_ESIMD_FUNCTION;
+
+int main(void) {
+  // Test should not be executed, clang compile fail expected.
+  return 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b, int i,
+                                          sycl::marray<float, VL> m)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, b, i, m);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/sycl_vec_argument.cpp b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/sycl_vec_argument.cpp
new file mode 100644
index 0000000000000..ba6db8c1224da
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/clang_run_error/sycl_vec_argument.cpp
@@ -0,0 +1,50 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: not %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out 2>&1 | FileCheck %s
+/*
+  Test case specification: Test and report errors if sycl::vec argument passed
+  to invoked ESIMD function.
+*/
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+ESIMD_INLINE
+esimd::simd<float, VL>
+ESIMD_CALLEE(float *A, esimd::simd<float, VL> b, int i,
+             sycl::vec<float, VL> v) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a;
+  a.copy_from(A + i);
+  return a + b + v[i % VL];
+  // CHECK: {{.*}}error: function 'sycl::{{.*}}vec<{{.*}}' is not supported in ESIMD context{{.*}}
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b, int i,
+                                          sycl::vec<float, VL> v)
+        SYCL_ESIMD_FUNCTION;
+
+int main(void) {
+  // Test should not be executed, clang compile fail expected.
+  return 1;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(float *A, simd<float, VL> b, int i,
+                                          sycl::vec<float, VL> v)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, b, i, v);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/function_overloads.cpp b/sycl/test-e2e/InvokeSimd/Spec/function_overloads.cpp
new file mode 100644
index 0000000000000..2491fa6b9a6d1
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/function_overloads.cpp
@@ -0,0 +1,183 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/*
+ * Test case purpose:
+ * -----------------
+ * To test that function overloads behave as according to the invoke_simd spec
+ * https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/proposed/sycl_ext_oneapi_invoke_simd.asciidoc.
+ *
+ * Test case description:
+ * ---------------------
+ * This test case as been adapted from the test case "scale", which invokes a
+ * simple SIMD function that scales all elements of a SIMD type x by a scalar
+ * value n. The scale function is overloaded, with one function taking a SIMD
+ * and a float, and the other taking 2 SIMDs.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+/*
+ * An overloaded SIMD function that scales all elements of a SIMD type x by a
+ * scalar value n. NOTE: n is passed in as uniform, so x is effecively scaled by
+ * n.
+ */
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_scale(esimd::simd<float, VL> x, float n) SYCL_ESIMD_FUNCTION {
+  return x * n;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_scale(simd<float, VL> x,
+                                                float n) SYCL_ESIMD_FUNCTION;
+
+/*
+ * An overloaded SIMD function that effectively does a vector multiplication of
+ * vectors x and n.
+ */
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_scale(esimd::simd<float, VL> x,
+                   esimd::simd<float, VL> n) SYCL_ESIMD_FUNCTION {
+  return x * n;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_scale(
+        simd<float, VL> x, simd<float, VL> n) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+constexpr bool scale_scalar = true;
+
+int main(void) {
+  float *A = new float[Size];
+  float *C = new float[Size];
+
+  float n = 2.0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vc;
+
+            // Invoke SIMD function:
+            if constexpr (scale_scalar)
+              vc = invoke_simd<simd<float, VL> __regcall (*)(
+                  simd<float, VL>, float)>(sg, SIMD_CALLEE_scale, va,
+                                           uniform{n});
+            else
+              vc = invoke_simd<simd<float, VL> __regcall (*)(
+                  simd<float, VL>, simd<float, VL>)>(sg, SIMD_CALLEE_scale, va,
+                                                     n);
+
+            sg.store(PC.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] * n != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " * " << n << "\n";
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_scale(simd<float, VL> va,
+                                                float n) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_scale(va, n);
+  return res;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_scale(
+        simd<float, VL> va, simd<float, VL> n) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_scale(va, n);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/multiple_SPMD_to_multiple_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/multiple_SPMD_to_multiple_ESIMD.cpp
new file mode 100644
index 0000000000000..0f454c7880fd1
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/multiple_SPMD_to_multiple_ESIMD.cpp
@@ -0,0 +1,196 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test multiple SPDM callers invoke the same esimd functions at different call
+ * sites. Here is one possible interpretation of the above: This program has 2
+ * kernels, which execute one after the other. The first kernel does the
+ * following vector addition: C = A + A. The second kernel does the following
+ * vector addition: C = A + C, or C = A + (A + A), or C = A * 3. Currently, the
+ * SPMD version of this program works correctly, but the invoke_simd version
+ * does not.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_vadd(esimd::simd<float, VL> a,
+                  esimd::simd<float, VL> b) SYCL_ESIMD_FUNCTION {
+  return a + b;
+}
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_vsub(esimd::simd<float, VL> a,
+                  esimd::simd<float, VL> b) SYCL_ESIMD_FUNCTION {
+  return a - b;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_vadd(
+        simd<float, VL> a, simd<float, VL> b) SYCL_ESIMD_FUNCTION;
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_vsub(
+        simd<float, VL> a, simd<float, VL> b) SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE(float va, float vb) { return va + vb; }
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  /* Kernel 1: This kernel does the following vector addition: C = A + B. */
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test1>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        float res;
+
+        if constexpr (use_invoke_simd) {
+          res = invoke_simd(sg, SIMD_CALLEE_vadd, A[wi_id], B[wi_id]);
+        } else {
+          res = SPMD_CALLEE(A[wi_id], A[wi_id]);
+        }
+        C[wi_id] = res;
+      }); // END parallel_for()
+    });   // END queue.submit()
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctxt);
+    sycl::free(B, ctxt);
+    sycl::free(C, ctxt);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  /* Kernel 2: In this second kernel, we do a vector subtraction of A from C
+   * (remember that C contains the sum of vector addition from the first kernel:
+   * A + B). Effectively, this program computes C = (A + B) - B, or C = A. */
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test2>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        float res;
+
+        if constexpr (use_invoke_simd) {
+          res = invoke_simd(sg, SIMD_CALLEE_vsub, C[wi_id], B[wi_id]);
+        } else {
+          res = SPMD_CALLEE(A[wi_id], C[wi_id]);
+        }
+        C[wi_id] = res;
+      }); // END parallel_for()
+    });   // END queue.submit()
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctxt);
+    sycl::free(B, ctxt);
+    sycl::free(C, ctxt);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (C[i] != A[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, ctxt);
+  sycl::free(B, ctxt);
+  sycl::free(C, ctxt);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_vadd(
+        simd<float, VL> a, simd<float, VL> b) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_vadd(a, b);
+  return res;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_vsub(
+        simd<float, VL> a, simd<float, VL> b) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_vsub(a, b);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/multiple_SPMD_to_single_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/multiple_SPMD_to_single_ESIMD.cpp
new file mode 100644
index 0000000000000..f546df0fe93f5
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/multiple_SPMD_to_single_ESIMD.cpp
@@ -0,0 +1,180 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test multiple SPDM callers invoke the same esimd functions at different call
+ * sites. Here is one possible interpretation of the above: This program has 2
+ * kernels, which execute one after the other. The first kernel does the
+ * following vector addition: C = A + A. The second kernel does the following
+ * vector addition: C = A + C, or C = A + (A + A), or C = A * 3. Currently, the
+ * SPMD version of this program works correctly, but the invoke_simd version
+ * does not.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE(esimd::simd<float, VL> a,
+             esimd::simd<float, VL> b) SYCL_ESIMD_FUNCTION {
+  return a + b;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(simd<float, VL> a, simd<float, VL> b)
+        SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE(float va, float vb) { return va + vb; }
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  /* Kernel 1: This kernel does the following vector addition: C = A + A. */
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test1>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        float res;
+
+        if constexpr (use_invoke_simd) {
+          res = invoke_simd(sg, SIMD_CALLEE, A[wi_id], A[wi_id]);
+        } else {
+          res = SPMD_CALLEE(A[wi_id], A[wi_id]);
+        }
+        C[wi_id] = res;
+      }); // END parallel_for()
+    });   // END queue.submit()
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctxt);
+    sycl::free(B, ctxt);
+    sycl::free(C, ctxt);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  /* Kernel 2: In this second kernel, we do another vector add of A and C
+   * (remember that C contains the sum of vector addition from the first kernel:
+   * A + A). Effectively, this program computes C = A + A + A, or C = A * 3. */
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test2>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        float res;
+
+        if constexpr (use_invoke_simd) {
+          res = invoke_simd(sg, SIMD_CALLEE, A[wi_id], C[wi_id]);
+        } else {
+          res = SPMD_CALLEE(A[wi_id], C[wi_id]);
+        }
+        C[wi_id] = res;
+      }); // END parallel_for()
+    });   // END queue.submit()
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctxt);
+    sycl::free(B, ctxt);
+    sycl::free(C, ctxt);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (C[i] != A[i] * 3) {
+      // if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, ctxt);
+  sycl::free(B, ctxt);
+  sycl::free(C, ctxt);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(simd<float, VL> a, simd<float, VL> b)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(a, b);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/nested_ESIMD_to_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/nested_ESIMD_to_ESIMD.cpp
new file mode 100644
index 0000000000000..7284e481223a9
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/nested_ESIMD_to_ESIMD.cpp
@@ -0,0 +1,161 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Test SPMD kernel invokes an esimd function which may nestly calls other ESIMD
+ * functions. Tests nested ESIMD-to-ESIMD functionality, specifically, if an
+ * ESIMD function called via invoke_simd() from an SPMD kernel can, in turn,
+ * call another nested ESIMD function.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 64 iterations that process 16 elements each
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+/* This ESIMD function is called by another ESIMD function, thereby testing
+ * nested ESIMD functionality. */
+esimd::simd<float, VL> NESTED_ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va,
+                                                  esimd::simd<float, VL> vb) {
+  return va + vb;
+}
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va,
+                    esimd::simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  return NESTED_ESIMD_CALLEE_doVadd(va, vb);
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE_doVadd(float a, float b) { return a + b; }
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vb = sg.load(PB.get_pointer() + offset);
+            float vc;
+
+            if constexpr (use_invoke_simd) {
+              vc = invoke_simd(sg, SIMD_CALLEE_doVadd, va, vb);
+            } else {
+              vc = SPMD_CALLEE_doVadd(va, vb);
+            }
+            sg.store(PC.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_doVadd(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/nested_SPMD_to_ESIMD.cpp b/sycl/test-e2e/InvokeSimd/Spec/nested_SPMD_to_ESIMD.cpp
new file mode 100644
index 0000000000000..8d0072c96d4d4
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/nested_SPMD_to_ESIMD.cpp
@@ -0,0 +1,165 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+
+/* Tests nested SPMD-to-ESIMD functionality, specifically, if invoke_simd()
+ * can be called from within an SPMD function nested inside the orginal SPMD
+ * context of the kernel.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 64 iterations that process 16 elements each
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE_doVadd(esimd::simd<float, VL> va,
+                    esimd::simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  return va + vb;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE_doVadd(float a, float b) { return a + b; }
+
+/* Tests nested SPMD-to-ESIMD functionality. This function is called from
+ * the normal SPMD context of the kernel, and it, in turn, calls the
+ * invoke_simd() function. This serves to test if invoke_simd() can be
+ * called from within an SPMD function nested inside the orginal SPMD
+ * context of the kernel. */
+float nested_SPMD_to_ESIMD(sycl::sub_group sg, float va, float vb) {
+  // Invoke SIMD function:
+  // va values from each work-item are combined into a simd<float, VL>.
+  // vb values from each work-item are combined into a simd<float, VL>.
+  float vc = invoke_simd(sg, SIMD_CALLEE_doVadd, va, vb);
+  return vc;
+}
+
+using namespace sycl;
+
+constexpr bool use_invoke_simd = true;
+
+int main(void) {
+
+  float *A = new float[Size];
+  float *B = new float[Size];
+  float *C = new float[Size];
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = 0.0f;
+  }
+
+  try {
+    buffer<float, 1> bufa(A, range<1>(Size));
+    buffer<float, 1> bufb(B, range<1>(Size));
+    buffer<float, 1> bufc(C, range<1>(Size));
+
+    // We need that many workgroups
+    sycl::range<1> GlobalRange{Size};
+
+    // We need that many threads in each group
+    sycl::range<1> LocalRange{VL};
+
+    auto q = queue{gpu_selector_v};
+    auto dev = q.get_device();
+    std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+              << "\n";
+
+    auto e = q.submit([&](handler &cgh) {
+      auto PA = bufa.get_access<access::mode::read>(cgh);
+      auto PB = bufb.get_access<access::mode::read>(cgh);
+      auto PC = bufc.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class Test>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+            float va = sg.load(PA.get_pointer() + offset);
+            float vb = sg.load(PB.get_pointer() + offset);
+            float vc;
+
+            if constexpr (use_invoke_simd) {
+              vc = nested_SPMD_to_ESIMD(sg, va, vb);
+            } else {
+              vc = SPMD_CALLEE_doVadd(va, vb);
+            }
+            sg.store(PC.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] B;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] B;
+  delete[] C;
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_doVadd(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_doVadd(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_mask.cpp b/sycl/test-e2e/InvokeSimd/Spec/simd_mask.cpp
new file mode 100644
index 0000000000000..b0d8b28cfd3df
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_mask.cpp
@@ -0,0 +1,161 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/* Test case description:
+ * ----------------------
+ * This is a minimal test case to test invoke_simd support for simd_mask,
+ * as defined in the invoke_simd spec.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/detail/boost/mp11.hpp>
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+template <typename MaskType>
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE(esimd::simd<float, VL> va,
+             simd_mask<MaskType, VL> mask) SYCL_ESIMD_FUNCTION {
+  return va;
+}
+
+template <typename MaskType>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(
+        simd<float, VL> va, simd_mask<MaskType, VL> mask) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+template <typename MaskType> int test(queue q) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  bool *M = static_cast<bool *>(malloc_shared(Size * sizeof(bool), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+    C[i] = -1;
+
+    M[i] = true;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        auto Callee = SIMD_CALLEE<MaskType>;
+        float res = invoke_simd(sg, Callee, A[wi_id], M[wi_id]);
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(C, q);
+    sycl::free(M, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(C, q);
+  sycl::free(M, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+template <typename MaskType>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(
+        simd<float, VL> va, simd_mask<MaskType, VL> mask) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(va, mask);
+  return res;
+}
+
+int main() {
+  queue q{gpu_selector_v};
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+  const bool SupportsDouble = dev.has(aspect::fp64);
+  using namespace sycl::detail::boost::mp11;
+  using MaskTypes =
+      std::tuple<char, char16_t, char32_t, wchar_t, signed char, signed short,
+                 signed int, signed long, signed long long, unsigned char,
+                 unsigned short, unsigned int, unsigned long,
+                 unsigned long long, float, double>;
+  tuple_for_each(MaskTypes{}, [&](auto &&x) {
+    using T = std::remove_reference_t<decltype(x)>;
+    if (std::is_same_v<T, double> && !SupportsDouble)
+      return;
+    passed &= !test<T>(q);
+  });
+  std::cout << (passed ? "Test passed\n" : "TEST FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_size/Inputs/common.hpp b/sycl/test-e2e/InvokeSimd/Spec/simd_size/Inputs/common.hpp
new file mode 100644
index 0000000000000..013812313e1ef
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_size/Inputs/common.hpp
@@ -0,0 +1,129 @@
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+template <int Size, int VL>
+ESIMD_NOINLINE esimd::simd<float, Size>
+ESIMD_CALLEE(float *A, esimd::simd<float, VL> b, int i) SYCL_ESIMD_FUNCTION {
+  constexpr int STEP = Size > VL ? VL : Size;
+  constexpr int ROWS = Size / STEP;
+
+  esimd::simd<float, Size> res(0);
+  for (int j = 0; j < ROWS; j++) {
+    esimd::simd<float, STEP> a;
+    a.copy_from(A + i + j * STEP);
+
+    if (j % 2 == 0)
+      res.template select<STEP, 1>(j * STEP) =
+          a + b.template select<STEP, 1>(j * STEP);
+    else
+      res.template select<STEP, 1>(j * STEP) =
+          i * a - b.template select<STEP, 1>(j * STEP);
+  }
+  return res;
+}
+
+template <int Size, int VL>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, Size> __regcall SIMD_CALLEE(float *A, simd<float, VL> b,
+                                            int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, Size> res = ESIMD_CALLEE<Size, VL>(A, b, i);
+  return res;
+}
+
+using namespace sycl;
+
+template <int, int> class TestID;
+
+template <int Size, int VL, class QueueTY> bool test(QueueTY q) {
+  std::cout << "Case: [" << Size << ", " << VL << "]\n";
+
+  constexpr int GroupSize = 1;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GroupRange{Size};
+  sycl::range<1> TaskRange{GroupSize};
+  sycl::nd_range<1> Range(GroupRange, TaskRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class TestID<Size, VL>>(
+          Range, [=](nd_item<1> ndi) [[intel::reqd_sub_group_size(VL)]] {
+            sub_group sg = ndi.get_sub_group();
+            group<1> g = ndi.get_group();
+            uint32_t i = sg.get_group_linear_id() * VL +
+                         g.get_group_linear_id() * GroupSize;
+            uint32_t wi_id = i + sg.get_local_id();
+
+            float res = invoke_simd(sg, SIMD_CALLEE<Size, VL>, uniform{A},
+                                    B[wi_id], uniform{i});
+            C[wi_id] = res;
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, ctxt);
+    sycl::free(B, ctxt);
+    sycl::free(C, ctxt);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  int err_cnt = 0;
+
+  constexpr int STEP = Size > VL ? VL : Size;
+  constexpr int ROWS = Size / STEP;
+
+  for (int j = 0; j < ROWS; j++) {
+    for (unsigned i = 0; i < STEP; ++i) {
+      int k = j * STEP + i;
+
+      if (j % 2 == 0) {
+        if ((A[k] + B[k]) != C[k]) {
+          err_cnt++;
+          std::cout << "failed at index " << k << ", " << C[k] << " != " << A[k]
+                    << " + " << B[k] << "\n";
+        }
+      } else {
+        if ((i * A[k] - B[k]) != C[k]) {
+          err_cnt++;
+          std::cout << "failed at index " << k << ", " << C[k] << " != 3 * "
+                    << A[k] << " - " << B[k] << "\n";
+        }
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, ctxt);
+  sycl::free(B, ctxt);
+  sycl::free(C, ctxt);
+
+  return err_cnt == 0;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd16.cpp b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd16.cpp
new file mode 100644
index 0000000000000..6e0479ab3dadf
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd16.cpp
@@ -0,0 +1,36 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/* Tests invoke_simd support in the compiler/headers
+ * Test checks support for different subgroup sizes in combination with
+ * different return value sizes
+ *
+ * Non-PVC => Register size: 256b
+ * PVC => Register size: 512b
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include "Inputs/common.hpp"
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  // simd_size 16
+  passed &= test<16, 16>(q);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd32.cpp b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd32.cpp
new file mode 100644
index 0000000000000..4d41669e40af6
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd32.cpp
@@ -0,0 +1,36 @@
+// Test intended to run on PVC only
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu-intel-pvc && linux
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/* Tests invoke_simd support in the compiler/headers
+ * Test checks support for different subgroup sizes in combination with
+ * different return value sizes
+ *
+ * PVC => Register size: 512b
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include "Inputs/common.hpp"
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  // simd_size 32
+  passed &= test<32, 32>(q);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd32_platform_error.cpp b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd32_platform_error.cpp
new file mode 100644
index 0000000000000..ac0ae1d949437
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd32_platform_error.cpp
@@ -0,0 +1,33 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+//
+// Test not intended to run on PVC
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER not %t.out | FileCheck %s
+
+/* Tests invoke_simd support in the compiler/headers
+ * The test checks error message running simd32 on devices other than PVC
+ */
+
+#include "Inputs/common.hpp"
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  // VL = 32
+  passed &= test<32, 32>(q);
+  // CHECK: {{.*}}error: Kernel compiled with required subgroup size 32, which is unsupported on this platform{{.*}}
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd8.cpp b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd8.cpp
new file mode 100644
index 0000000000000..db9055e08abb3
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd8.cpp
@@ -0,0 +1,37 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+//
+// Test not intended to run on PVC
+// UNSUPPORTED: cuda || hip || gpu-intel-pvc
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/* Tests invoke_simd support in the compiler/headers
+ * Test checks support for different subgroup sizes in combination with
+ * different return value sizes
+ *
+ * Non-PVC => Register size: 256b
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include "Inputs/common.hpp"
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  // simd_size 8
+  passed &= test<8, 8>(q);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd8_platform_error.cpp b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd8_platform_error.cpp
new file mode 100644
index 0000000000000..a1d2da4addac2
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/simd_size/simd8_platform_error.cpp
@@ -0,0 +1,30 @@
+// Test intended to run on PVC only
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu-intel-pvc && linux
+//
+// UNSUPPORTED: cuda || hip
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER not %t.out 2>&1 | FileCheck %s
+
+/* Tests invoke_simd support in the compiler/headers
+ * The test checks error message running simd8 on PVC
+ */
+
+#include "Inputs/common.hpp"
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  // VL = 8
+  passed &= test<8, 8>(q);
+  // CHECK: {{.*}}error: Kernel compiled with required subgroup size 8, which is unsupported on this platform{{.*}}
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/tuple.cpp b/sycl/test-e2e/InvokeSimd/Spec/tuple.cpp
new file mode 100644
index 0000000000000..d1a915517fb55
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/tuple.cpp
@@ -0,0 +1,150 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/* Test case description:
+ * ----------------------
+ * This is a minimal test case to test invoke_simd support for tuples,
+ * as defined in the invoke_simd spec.
+ *
+ * This test case simply creates a scalar tuple<float, int> per work-item
+ * which gets implicitly vectorized into a
+ * tuple<simd<float, VL>, simd<int, VL>>. Then, inside the ESIMD function,
+ * we simply get the first tuple element (simd<float, VL>) and return it.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+#include <tuple>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE(std::tuple<esimd::simd<float, VL>, esimd::simd<int, VL>> tup,
+             esimd::simd<float, VL> a) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> float_vector = std::get<0>(tup);
+  esimd::simd<int, VL> int_vector = std::get<1>(tup);
+  return float_vector;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(
+        std::tuple<simd<float, VL>, simd<int, VL>> tup,
+        simd<float, VL> a) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  int *D = static_cast<int *>(malloc_shared(Size * sizeof(int), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = i;
+    C[i] = -1;
+    D[i] = 1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+
+        std::tuple<float, int> tup(A[wi_id], D[wi_id]);
+        float res = invoke_simd(sg, SIMD_CALLEE, tup, A[wi_id]);
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(C, q);
+    sycl::free(D, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(C, q);
+  sycl::free(D, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE(
+        std::tuple<simd<float, VL>, simd<int, VL>> tup,
+        simd<float, VL> a) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(tup, a);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/tuple_return.cpp b/sycl/test-e2e/InvokeSimd/Spec/tuple_return.cpp
new file mode 100644
index 0000000000000..8c926ecabead1
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/tuple_return.cpp
@@ -0,0 +1,152 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/* Test case purpose:
+ * ----------------------
+ * To test returning a tuple from invoke_simd.
+ *
+ * Test case description:
+ * ----------------------
+ * This test case performs a vector add of A and B by passing A[wi_id] and
+ * B[wi_id] to an invoke_simd callee which simply combines these into a
+ * tuple and returns it. Then, the indivual values a and b are gotten
+ * back out of the tuple, added together, and stored in C[wi_id].
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+#include <tuple>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline))
+std::tuple<esimd::simd<float, VL>, esimd::simd<float, VL>>
+ESIMD_CALLEE(esimd::simd<float, VL> va,
+             esimd::simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  std::tuple<esimd::simd<float, VL>, esimd::simd<float, VL>> tup(va, vb);
+  return tup;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    std::tuple<simd<float, VL>, simd<float, VL>> __regcall SIMD_CALLEE(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+
+        std::tuple<float, float> tup =
+            invoke_simd(sg, SIMD_CALLEE, A[wi_id], B[wi_id]);
+        float a = std::get<0>(tup);
+        float b = std::get<1>(tup);
+        float res = a + b;
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    std::tuple<simd<float, VL>, simd<float, VL>> __regcall SIMD_CALLEE(
+        simd<float, VL> va, simd<float, VL> vb) SYCL_ESIMD_FUNCTION {
+  std::tuple<esimd::simd<float, VL>, esimd::simd<float, VL>> res =
+      ESIMD_CALLEE(va, vb);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/tuple_vadd.cpp b/sycl/test-e2e/InvokeSimd/Spec/tuple_vadd.cpp
new file mode 100644
index 0000000000000..aa5f16cf75f3c
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/tuple_vadd.cpp
@@ -0,0 +1,154 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Tests invoke_simd support in the compiler/headers
+/* Test case purpose:
+ * ------------------
+ * To test invoke_simd support for tuples, as defined in the invoke_simd spec.
+ *
+ * Test case description:
+ * ----------------------
+ * This test case performs a vector addition of 2 vectors of float, a and b.
+ * Instead of passing in 2 separate simd<float, VL> to the SIMD and ESIMD
+ * functions, we pass in a single tuple<simd<float, VL>, simd<float, VL>> and
+ * then get and add these tuple elements,
+ *
+ * Implementation notes:
+ * --------------------
+ * I've included an equivalent set of regular (non-tuple) vadd functions to
+ * verify that the overall logic of the program is correct. Switch the
+ * invoke_simd() call to see that the regular vadd works correctly.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+#include <tuple>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+constexpr int VL = 16;
+
+__attribute__((always_inline)) esimd::simd<float, VL> ESIMD_CALLEE_TUPLE_VADD(
+    std::tuple<esimd::simd<float, VL>, esimd::simd<float, VL>> tup)
+    SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> va = std::get<0>(tup);
+  esimd::simd<float, VL> vb = std::get<1>(tup);
+  return va + vb;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_TUPLE_VADD(
+        std::tuple<simd<float, VL>, simd<float, VL>> tup) SYCL_ESIMD_FUNCTION;
+
+using namespace sycl;
+
+int main(void) {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  auto ctxt = q.get_context();
+
+  float *A =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *B =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+  float *C =
+      static_cast<float *>(malloc_shared(Size * sizeof(float), dev, ctxt));
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class Test>(Range, [=](nd_item<1> ndi) SUBGROUP_ATTR {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_group_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+
+        std::tuple<float, float> tup(A[wi_id], B[wi_id]);
+        float res = invoke_simd(sg, SIMD_CALLEE_TUPLE_VADD, tup);
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return e.code().value();
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (A[i] + B[i] != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                  << " + " << B[i] << "\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt > 0 ? 1 : 0;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE_TUPLE_VADD(
+        std::tuple<simd<float, VL>, simd<float, VL>> tup) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE_TUPLE_VADD(tup);
+  return res;
+}
diff --git a/sycl/test-e2e/InvokeSimd/Spec/uniform_retval.cpp b/sycl/test-e2e/InvokeSimd/Spec/uniform_retval.cpp
new file mode 100644
index 0000000000000..37ed527c4293f
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/Spec/uniform_retval.cpp
@@ -0,0 +1,242 @@
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+//
+// TODO: enable when Jira ticket resolved
+// XFAIL: gpu
+//
+// Check that full compilation works:
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+//
+// VISALTO enable run
+// RUN: env IGC_VISALTO=63 IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+ * Test case #1
+ * -----------------
+ * Purpose:
+ * To test uniform (scalar) return values from a SIMD function.
+ *
+ * The invoke_simd spec:
+ * https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/proposed/sycl_ext_oneapi_invoke_simd.asciidoc:
+ *
+ * "Return values of type T are converted to
+ * sycl::ext::oneapi::experimental::uniform<T>, and broadcast to each work-item;
+ * every work-item in the sub-group receives the same value."
+ *
+ * Description:
+ * A simple SIMD function that returns a uniform (scalar) value as a SIMD type.
+ *
+ *
+ * Test case #2
+ * -----------------
+ * Purpose:
+ * To test uniform (scalar) return values from the invoke_simd spec
+ *
+ * https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/proposed/sycl_ext_oneapi_invoke_simd.asciidoc:
+ * "Return values of type T are converted to
+ * sycl::ext::oneapi::experimental::uniform<T>, and broadcast to each work-item;
+ * every work-item in the sub-group receives the same value."
+ *
+ * Description:
+ * A simple SIMD function that returns a scalar/uniform value as a raw
+ * (unwrapped) scalar. In this test case, we simply pass in a uniform type T (n
+ * = 2) to the SIMD function and then return it and store it to C[i]. Therefore,
+ * C[i] == n for all i.
+ *
+ * This test also runs with all types of VISA link time optimizations enabled.
+ */
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+/* Subgroup size attribute is optional
+ * In case it is absent compiler decides what subgroup size to use
+ */
+#ifdef IMPL_SUBGROUP
+#define SUBGROUP_ATTR
+#else
+#define SUBGROUP_ATTR [[intel::reqd_sub_group_size(VL)]]
+#endif
+
+using namespace sycl::ext::oneapi::experimental;
+namespace esimd = sycl::ext::intel::esimd;
+
+// 1024 / 16 = 64: There will be 128 iterations that process 8 elements each
+constexpr int Size = 1024;
+constexpr int VL = 16;
+
+/*
+ * A simple SIMD function that takes a SIMD type x and a scalar value n, and
+ * simply returns the scalar, which should be broadcast to each work-item; every
+ * work-item in the sub-group receives the same value. NOTE: I'm not sure if the
+ * return value type is supposed to be declared as uniform{} or type T, but
+ * returning the scalar as a SIMD type seems to work fine.
+ */
+template <class T>
+__attribute__((always_inline)) esimd::simd<T, VL>
+ESIMD_CALLEE_return_uniform_SIMD(esimd::simd<T, VL> x,
+                                 T n) SYCL_ESIMD_FUNCTION {
+  return n;
+}
+
+template <class T>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<T, VL> __regcall SIMD_CALLEE_return_uniform_SIMD(simd<T, VL> x, T n)
+        SYCL_ESIMD_FUNCTION {
+  esimd::simd<T, VL> r = ESIMD_CALLEE_return_uniform_SIMD<T>(x, n);
+  return r;
+}
+
+/*
+ * A simple SIMD function that takes a SIMD type x and a scalar value n, and
+ * simply returns the scalar, which should be broadcast to each work-item; every
+ * work-item in the sub-group receives the same value. NOTE: I'm not sure if the
+ * return value type is supposed to be declared as uniform{} or type T, but
+ * returning the scalar as a SIMD type seems to work fine.
+ */
+template <class T>
+__attribute__((always_inline)) T
+ESIMD_CALLEE_return_uniform_scalar(esimd::simd<T, VL> x,
+                                   T n) SYCL_ESIMD_FUNCTION {
+  return n;
+}
+
+template <class T>
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    T __regcall SIMD_CALLEE_return_uniform_scalar(simd<T, VL> x,
+                                                  T n) SYCL_ESIMD_FUNCTION {
+  T r = ESIMD_CALLEE_return_uniform_scalar<T>(x, n);
+  return r;
+}
+
+using namespace sycl;
+
+template <class, bool> class TestID;
+
+template <class T, bool return_SIMD, class QueueTY> bool test(QueueTY q) {
+  std::cout << "Type: " << typeid(T).name() << ", returning "
+            << (return_SIMD ? "SIMD" : "scalar") << "\n";
+
+  T *A = new T[Size];
+  T *C = new T[Size];
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = static_cast<T>(i);
+    C[i] = static_cast<T>(0);
+  }
+
+  // scale factor
+  T n = static_cast<T>(2);
+
+  try {
+    buffer<T, 1> bufa(A, range<1>(Size));
+    buffer<T, 1> bufc(C, range<1>(Size));
+
+    sycl::range<1> GlobalRange{Size};
+    sycl::range<1> LocalRange{VL};
+
+    auto e = q.submit([&](handler &cgh) {
+      auto acca = bufa.template get_access<access::mode::read>(cgh);
+      auto accc = bufc.template get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<TestID<T, return_SIMD>>(
+          nd_range<1>(GlobalRange, LocalRange),
+          [=](nd_item<1> item) SUBGROUP_ATTR {
+            sycl::group<1> g = item.get_group();
+            sycl::sub_group sg = item.get_sub_group();
+
+            unsigned int offset = g.get_group_id() * g.get_local_range() +
+                                  sg.get_group_id() * sg.get_max_local_range();
+
+            T va = sg.load(acca.get_pointer() + offset);
+            T vc;
+
+            if constexpr (return_SIMD)
+              vc = invoke_simd(sg, SIMD_CALLEE_return_uniform_SIMD<T>, va,
+                               uniform{n});
+            else
+              vc = invoke_simd(sg, SIMD_CALLEE_return_uniform_scalar<T>, va,
+                               uniform{n});
+
+            sg.store(accc.get_pointer() + offset, vc);
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    delete[] A;
+    delete[] C;
+
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    return false;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (C[i] != n) {
+      if (++err_cnt < 10) {
+        /*
+          std::cout << "failed at index " << i << ", " << C[i] << " != " << A[i]
+                    << " * " << n << "\n";
+        */
+      }
+    }
+  }
+
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+
+  delete[] A;
+  delete[] C;
+
+  return err_cnt == 0;
+}
+
+int main(void) {
+  auto q = queue{gpu_selector_v};
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  bool passed = true;
+
+  // return SIMD
+  passed &= test<unsigned char, true>(q);
+  passed &= test<char, true>(q);
+  passed &= test<unsigned short, true>(q);
+  passed &= test<short, true>(q);
+  passed &= test<unsigned int, true>(q);
+  passed &= test<int, true>(q);
+  passed &= test<unsigned long, true>(q);
+  passed &= test<long, true>(q);
+
+  passed &= test<float, true>(q);
+  // double type not supported by most platforms
+  // passed &= test<double, true>(q);
+
+  // return scalar
+  passed &= test<unsigned char, false>(q);
+  passed &= test<char, false>(q);
+  passed &= test<unsigned short, false>(q);
+  passed &= test<short, false>(q);
+  passed &= test<unsigned int, false>(q);
+  passed &= test<int, false>(q);
+  passed &= test<unsigned long, false>(q);
+  passed &= test<long, false>(q);
+
+  passed &= test<float, false>(q);
+  // double type not supported by most platforms
+  // passed &= test<double, false>(q);
+
+  std::cout << (passed ? "Passed\n" : "FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/invoke_simd_conv.cpp b/sycl/test-e2e/InvokeSimd/invoke_simd_conv.cpp
new file mode 100644
index 0000000000000..f1015b9047994
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/invoke_simd_conv.cpp
@@ -0,0 +1,200 @@
+// The test checks that invoke_simd implementation performs proper conversions
+// on the actual arguments:
+// - Case1: actual type is uniform<T>, formal - T1 (scalar)
+//   standard C++ arithmetic conversion is applied
+// - Case2: actual type is T, format - simd<T1, VL>
+//   simd-simd conversion is applied according to the std::experimental::simd
+//   specification. Basically, only non-narrowing conversions are allowed:
+//   char -> int, float -> double, etc. int -> float is forbidden.
+
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %clangxx -O0 -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t0.out
+// TODO: enable execution of test generated with -O0 once crash issue is
+// resolved
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/ext/oneapi/experimental/uniform.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+using namespace sycl;
+
+constexpr int VL = 16;
+
+template <class T> inline T calc(T val) { return val + val; }
+template <class T, int N> inline simd<T, N> calc(simd<T, N> val) {
+  // emulate '+' on simd operands
+  for (int i = 0; i < N; ++i) {
+    val[i] += val[i];
+  }
+  return val;
+}
+
+template <class SimdElemT>
+[[intel::device_indirectly_callable]] // required by FE for addr-taken functions
+simd<SimdElemT, VL> __regcall SIMD_CALLEE_UNIFORM(SimdElemT val)
+    SYCL_ESIMD_FUNCTION {
+  return simd<SimdElemT, VL>(calc(val)); // broadcast
+}
+
+template <class SimdElemT>
+[[intel::device_indirectly_callable]] simd<SimdElemT, VL> __regcall SIMD_CALLEE(
+    simd<SimdElemT, VL> val) SYCL_ESIMD_FUNCTION {
+  return calc(val);
+}
+
+class ESIMDSelector : public device_selector {
+  // Require GPU device
+  virtual int operator()(const device &device) const {
+    if (const char *dev_filter = getenv("ONEAPI_DEVICE_SELECTOR")) {
+      std::string filter_string(dev_filter);
+      if (filter_string.find("gpu") != std::string::npos)
+        return device.is_gpu() ? 1000 : -1;
+      std::cerr << "Supported 'ONEAPI_DEVICE_SELECTOR' env var values is "
+                   "'*:gpu' and  '"
+                << filter_string << "' does not contain such substrings.\n";
+      return -1;
+    }
+    // If "ONEAPI_DEVICE_SELECTOR" not defined, only allow gpu device
+    return device.is_gpu() ? 1000 : -1;
+  }
+};
+
+inline auto createExceptionHandler() {
+  return [](exception_list l) {
+    for (auto ep : l) {
+      try {
+        std::rethrow_exception(ep);
+      } catch (sycl::exception &e0) {
+        std::cout << "sycl::exception: " << e0.what() << std::endl;
+      } catch (std::exception &e) {
+        std::cout << "std::exception: " << e.what() << std::endl;
+      } catch (...) {
+        std::cout << "generic exception\n";
+      }
+    }
+  };
+}
+
+template <class, class, bool> class TestID;
+
+template <class SpmdT, class SimdElemT, bool IsUniform> bool test(queue q) {
+  std::cout << "Testing SpmdT='" << typeid(SpmdT).name() << "', SimdElemT='"
+            << typeid(SimdElemT).name() << "', uniform=" << IsUniform << "... ";
+
+  // 3 subgroups per workgroup
+  unsigned GroupSize = VL * 3;
+  unsigned NGroups = 7;
+  unsigned Size = GroupSize * NGroups;
+  SimdElemT *A = malloc_shared<SimdElemT>(Size, q);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = (SimdElemT)i;
+  }
+  sycl::range<1> GlobalRange{Size};
+  sycl::range<1> LocalRange{GroupSize};
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for<TestID<SpmdT, SimdElemT, IsUniform>>(
+          Range, [=](nd_item<1> ndi) [[intel::reqd_sub_group_size(VL)]] {
+            sub_group sg = ndi.get_sub_group();
+            SpmdT val = (SpmdT)sg.get_group_linear_id(); // 0 .. GroupSize-1
+            SimdElemT res = 0;
+
+            if constexpr (IsUniform) {
+              res =
+                  invoke_simd(sg, SIMD_CALLEE_UNIFORM<SimdElemT>, uniform{val});
+            } else {
+              res = invoke_simd(sg, SIMD_CALLEE<SimdElemT>, val);
+            }
+            uint32_t i = ndi.get_global_linear_id();
+            A[i] = res;
+          });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    std::cout << "failed\n";
+    return false;
+  }
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    unsigned group_id = i / GroupSize;
+    uint32_t sg_id = (i - (group_id * GroupSize)) / VL;
+    SimdElemT test = A[i];
+    SimdElemT gold = calc((SimdElemT)sg_id);
+    if ((test != gold) && (++err_cnt < 10)) {
+      std::cout << "failed at index " << i << ", " << test << " != " << gold
+                << "(gold)\n";
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+  sycl::free(A, q);
+  std::cout << (err_cnt ? "failed\n" : "passed\n");
+  return err_cnt == 0;
+}
+
+int main(void) {
+  queue q(ESIMDSelector{}, createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running on " << dev.get_info<sycl::info::device::name>()
+            << "\n";
+  bool passed = true;
+
+  constexpr bool UNIFORM = true;
+  constexpr bool NON_UNIFORM = false;
+
+  const bool SupportsDouble = dev.has(aspect::fp64);
+
+  // With uniform parameters SPMD actual argument corresponds to SIMD scalar
+  // argument, and standard C++ arithmetic conversion are implicitly
+  // applied by the compiler. Any aritimetic type can be implicitly coverted to
+  // any other arithmetic type.
+
+#ifndef TEST_DOUBLE_TYPE
+  passed &= test<int, float, UNIFORM>(q);
+  passed &= test<unsigned char, uint64_t, UNIFORM>(q);
+#else
+  if (SupportsDouble) {
+    passed &= test<char, double, UNIFORM>(q);
+    passed &= test<double, char, UNIFORM>(q);
+  }
+#endif // TEST_DOUBLE_TYPE
+
+  // With non-uniform parameters, SPMD actual argument of type T is "widened" to
+  // std::simd<T, VL> and then convered to SIMD vector argument
+  // (std::simd<T1, VL>) using std::simd implicit conversion constructors. They
+  // allow only non-narrowing conversions (e.g. int -> float is narrowing and
+  // hence is prohibited).
+
+#ifndef TEST_DOUBLE_TYPE
+  passed &= test<char, long, NON_UNIFORM>(q);
+  passed &= test<short, short, NON_UNIFORM>(q);
+#else
+  if (SupportsDouble) {
+    passed &= test<float, double, NON_UNIFORM>(q);
+  }
+#endif // TEST_DOUBLE_TYPE
+
+  std::cout << (passed ? "Test passed\n" : "TEST FAILED\n");
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/InvokeSimd/invoke_simd_conv_double.cpp b/sycl/test-e2e/InvokeSimd/invoke_simd_conv_double.cpp
new file mode 100644
index 0000000000000..8e54700450cd7
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/invoke_simd_conv_double.cpp
@@ -0,0 +1,12 @@
+// The test checks that invoke_simd implementation performs proper conversions
+// on the actual arguments of 'double' type.
+
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#define TEST_DOUBLE_TYPE
+#include "invoke_simd_conv.cpp"
diff --git a/sycl/test-e2e/InvokeSimd/invoke_simd_smoke.cpp b/sycl/test-e2e/InvokeSimd/invoke_simd_smoke.cpp
new file mode 100644
index 0000000000000..11ce20163faec
--- /dev/null
+++ b/sycl/test-e2e/InvokeSimd/invoke_simd_smoke.cpp
@@ -0,0 +1,211 @@
+// The tests a basic E2E invoke_simd test checking that invoke_simd
+// compiles and executes correctly on GPU, where the SIMD target is a
+// ESIMD function.
+
+// TODO: enable on Windows once driver is ready
+// REQUIRES: gpu && linux
+// UNSUPPORTED: cuda || hip
+
+// RUN: %clangxx -fsycl -fno-sycl-device-code-split-esimd -Xclang -fsycl-allow-func-ptr %s -o %t.out
+// RUN: env IGC_VCSaveStackCallLinkage=1 IGC_VCDirectCallsOnly=1 %GPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/ext/intel/esimd.hpp>
+#include <sycl/ext/oneapi/experimental/invoke_simd.hpp>
+#include <sycl/ext/oneapi/experimental/uniform.hpp>
+#include <sycl/sycl.hpp>
+
+#include <functional>
+#include <iostream>
+#include <type_traits>
+
+using namespace sycl::ext::oneapi::experimental;
+using namespace sycl;
+namespace esimd = sycl::ext::intel::esimd;
+
+constexpr int VL = 16;
+
+#ifndef INVOKE_SIMD
+#define INVOKE_SIMD 1
+#endif
+
+constexpr bool use_invoke_simd = INVOKE_SIMD != 0;
+
+__attribute__((always_inline)) esimd::simd<float, VL>
+ESIMD_CALLEE(float *A, esimd::simd<float, VL> b, int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> a;
+  a.copy_from(A + i);
+  return a + b;
+}
+
+// Use two functions with the same signature but different semantics
+// called via invoke_simd for better testing.
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE1(float *A, simd<float, VL> b,
+                                           int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, b, i);
+  return res;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL
+    simd<float, VL> __regcall SIMD_CALLEE2(float *A, simd<float, VL> b,
+                                           int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, b, i);
+  return res + res;
+}
+
+[[intel::device_indirectly_callable]] SYCL_EXTERNAL void __regcall SIMD_CALLEE_VOID(
+    float *A, simd<float, VL> b, int i) SYCL_ESIMD_FUNCTION;
+
+float SPMD_CALLEE(float *A, float b, int i) { return A[i] + b; }
+
+class ESIMDSelector : public device_selector {
+  // Require GPU device
+  virtual int operator()(const device &device) const {
+    if (const char *dev_filter = getenv("ONEAPI_DEVICE_SELECTOR")) {
+      std::string filter_string(dev_filter);
+      if (filter_string.find("gpu") != std::string::npos)
+        return device.is_gpu() ? 1000 : -1;
+      std::cerr << "Supported 'ONEAPI_DEVICE_SELECTOR' env var values is "
+                   "'*:gpu' and '"
+                << filter_string << "' does not contain such substrings.\n";
+      return -1;
+    }
+    // If "ONEAPI_DEVICE_SELECTOR" not defined, only allow gpu device
+    return device.is_gpu() ? 1000 : -1;
+  }
+};
+
+inline auto createExceptionHandler() {
+  return [](exception_list l) {
+    for (auto ep : l) {
+      try {
+        std::rethrow_exception(ep);
+      } catch (sycl::exception &e0) {
+        std::cout << "sycl::exception: " << e0.what() << std::endl;
+      } catch (std::exception &e) {
+        std::cout << "std::exception: " << e.what() << std::endl;
+      } catch (...) {
+        std::cout << "generic exception\n";
+      }
+    }
+  };
+}
+
+// Returns true if the test passed.
+// If the template parameter use_func_directly is set to true, then this
+// test verifies the case when function is passed directly to invoke_simd().
+// Otherwise, the test verifices the case when invoke_simd accepts
+// a reference to a variable holding address of the target function.
+template <bool use_func_directly> bool test() {
+  constexpr unsigned Size = 1024;
+  constexpr unsigned GroupSize = 4 * VL;
+
+  queue q(ESIMDSelector{}, createExceptionHandler());
+
+  auto dev = q.get_device();
+  std::cout << "Running with use_func_directly = " << use_func_directly
+            << " on " << dev.get_info<sycl::info::device::name>() << "\n";
+  float *A = malloc_shared<float>(Size, q);
+  float *B = malloc_shared<float>(Size, q);
+  float *C = malloc_shared<float>(Size, q);
+
+  for (unsigned i = 0; i < Size; ++i) {
+    A[i] = B[i] = i;
+    C[i] = -1;
+  }
+
+  sycl::range<1> GlobalRange{Size};
+  // Number of workitems in each workgroup.
+  sycl::range<1> LocalRange{GroupSize};
+
+  sycl::nd_range<1> Range(GlobalRange, LocalRange);
+
+  try {
+    auto e = q.submit([&](handler &cgh) {
+      cgh.parallel_for(Range, [=](nd_item<1> ndi) [[intel::reqd_sub_group_size(
+                                  VL)]] {
+        sub_group sg = ndi.get_sub_group();
+        group<1> g = ndi.get_group();
+        uint32_t i =
+            sg.get_group_linear_id() * VL + g.get_linear_id() * GroupSize;
+        uint32_t wi_id = i + sg.get_local_id();
+        float res = 0;
+
+        if constexpr (use_invoke_simd) {
+          if constexpr (use_func_directly) {
+            // Pass SIMD callee directly to invoke_simd.
+            res =
+                invoke_simd(sg, SIMD_CALLEE1, uniform{A}, B[wi_id], uniform{i});
+            res +=
+                invoke_simd(sg, SIMD_CALLEE2, uniform{A}, B[wi_id], uniform{i});
+            invoke_simd(sg, SIMD_CALLEE_VOID, uniform{A}, B[wi_id], uniform{i});
+          } else {
+            // Pass a reference to variable holding SIMD callee address.
+            typedef simd<float, VL> __regcall (*FuncType)(float *,
+                                                          simd<float, VL>, int);
+            typedef void __regcall (*FuncVoidType)(float *, simd<float, VL>,
+                                                   int);
+            FuncType SIMD_CALLEE1_PTR = SIMD_CALLEE1;
+            FuncType SIMD_CALLEE2_PTR = SIMD_CALLEE2;
+            FuncVoidType SIMD_CALLEE_VOID_PTR = SIMD_CALLEE_VOID;
+            res = invoke_simd(sg, SIMD_CALLEE1_PTR, uniform{A}, B[wi_id],
+                              uniform{i});
+            res += invoke_simd(sg, SIMD_CALLEE2_PTR, uniform{A}, B[wi_id],
+                               uniform{i});
+            invoke_simd(sg, SIMD_CALLEE_VOID_PTR, uniform{A}, B[wi_id],
+                        uniform{i});
+          }
+        } else {
+          res = SPMD_CALLEE(A, B[wi_id], wi_id);
+          res += SPMD_CALLEE(A, B[wi_id], wi_id);
+          res += SPMD_CALLEE(A, B[wi_id], wi_id);
+        }
+        C[wi_id] = res;
+      });
+    });
+    e.wait();
+  } catch (sycl::exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << '\n';
+    sycl::free(A, q);
+    sycl::free(B, q);
+    sycl::free(C, q);
+    return false;
+  }
+
+  int err_cnt = 0;
+
+  for (unsigned i = 0; i < Size; ++i) {
+    if (3 * (A[i] + B[i]) != C[i]) {
+      if (++err_cnt < 10) {
+        std::cout << "failed at index " << i << ", " << C[i] << " != 3*("
+                  << A[i] << " + " << B[i] << ")\n";
+      }
+    }
+  }
+  if (err_cnt > 0) {
+    std::cout << "  pass rate: "
+              << ((float)(Size - err_cnt) / (float)Size) * 100.0f << "% ("
+              << (Size - err_cnt) << "/" << Size << ")\n";
+  }
+  sycl::free(A, q);
+  sycl::free(B, q);
+  sycl::free(C, q);
+
+  std::cout << (err_cnt > 0 ? "FAILED\n" : "Passed\n");
+  return err_cnt == 0;
+}
+
+int main() {
+  bool Passed = true;
+  Passed &= test<false>();
+  Passed &= test<true>();
+
+  std::cout << (Passed ? "Passed\n" : "FAILED\n");
+  return Passed ? 0 : 1;
+}
+
+SYCL_EXTERNAL
+void __regcall SIMD_CALLEE_VOID(float *A, simd<float, VL> b,
+                                int i) SYCL_ESIMD_FUNCTION {
+  esimd::simd<float, VL> res = ESIMD_CALLEE(A, b, i);
+}
diff --git a/sycl/test-e2e/KernelAndProgram/build-log.cpp b/sycl/test-e2e/KernelAndProgram/build-log.cpp
new file mode 100644
index 0000000000000..8cf40ab425c1c
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/build-log.cpp
@@ -0,0 +1,58 @@
+// for CUDA and HIP the failure happens at compile time, not during runtime
+// UNSUPPORTED: cuda || hip || ze_debug4 || ze_debug-1
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DGPU %s -o %t_gpu.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_gpu.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==--- build-log.cpp - Test log message from faild build ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===--------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+SYCL_EXTERNAL
+void symbol_that_does_not_exist();
+
+void test() {
+  sycl::queue Queue;
+
+  // Submitting this kernel should result in a compile_program_error exception
+  // with a message indicating "PI_ERROR_BUILD_PROGRAM_FAILURE".
+  auto Kernel = []() {
+#ifdef __SYCL_DEVICE_ONLY__
+#ifdef GPU
+    asm volatile("undefined\n");
+#else  // GPU
+    symbol_that_does_not_exist();
+#endif // GPU
+#endif // __SYCL_DEVICE_ONLY__
+  };
+
+  std::string Msg;
+  int Result;
+
+  try {
+    Queue.submit(
+        [&](sycl::handler &CGH) { CGH.single_task<class SingleTask>(Kernel); });
+    assert(false && "There must be compilation error");
+  } catch (const sycl::compile_program_error &e) {
+    std::string Msg(e.what());
+    std::cerr << Msg << std::endl;
+    assert(Msg.find("PI_ERROR_BUILD_PROGRAM_FAILURE") != std::string::npos);
+  } catch (...) {
+    assert(false && "There must be sycl::compile_program_error");
+  }
+}
+
+int main() {
+  test();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelAndProgram/cache-build-result.cpp b/sycl/test-e2e/KernelAndProgram/cache-build-result.cpp
new file mode 100644
index 0000000000000..3039eae3e4d13
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/cache-build-result.cpp
@@ -0,0 +1,58 @@
+// for CUDA and HIP the failure happens at compile time, not during runtime
+// UNSUPPORTED: cuda || hip || ze_debug4 || ze_debug-1
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DSYCL_DISABLE_FALLBACK_ASSERT=1 %s -o %t.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DSYCL_DISABLE_FALLBACK_ASSERT=1 -DGPU %s -o %t_gpu.out
+// RUN: env SYCL_CACHE_PERSISTENT=1 %CPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_CACHE_PERSISTENT=1 %GPU_RUN_PLACEHOLDER %t_gpu.out
+// RUN: env SYCL_CACHE_PERSISTENT=1 %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+SYCL_EXTERNAL
+void undefined();
+
+void test() {
+  sycl::queue Queue;
+
+  auto Kernel = []() {
+#ifdef __SYCL_DEVICE_ONLY__
+#ifdef GPU
+    asm volatile("undefined\n");
+#else  // GPU
+    undefined();
+#endif // GPU
+#endif // __SYCL_DEVICE_ONLY__
+  };
+
+  std::string Msg;
+  int Result;
+
+  for (int Idx = 0; Idx < 2; ++Idx) {
+    try {
+      Queue.submit([&](sycl::handler &CGH) {
+        CGH.single_task<class SingleTask>(Kernel);
+      });
+      assert(false && "There must be compilation error");
+    } catch (const sycl::compile_program_error &e) {
+      fprintf(stderr, "Exception: %s, %d\n", e.what(), e.get_cl_code());
+      if (Idx == 0) {
+        Msg = e.what();
+        Result = e.get_cl_code();
+      } else {
+        // Exception constantly adds info on its error code in the message
+        assert(Msg.find_first_of(e.what()) == 0 &&
+               "PI_ERROR_BUILD_PROGRAM_FAILURE");
+        assert(Result == e.get_cl_code() && "Exception code differs");
+      }
+    } catch (...) {
+      assert(false && "There must be sycl::compile_program_error");
+    }
+  }
+}
+
+int main() {
+  test();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelAndProgram/cache_env_vars.cpp b/sycl/test-e2e/KernelAndProgram/cache_env_vars.cpp
new file mode 100644
index 0000000000000..1594659e5c143
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/cache_env_vars.cpp
@@ -0,0 +1,33 @@
+// No JITing for host devices.
+// REQUIRES: opencl || level_zero
+// RUN: rm -rf %t/cache_dir
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -DTARGET_IMAGE=INC100
+// Build program and add item to cache
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// Ignore caching because image size is less than threshold
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 SYCL_CACHE_MIN_DEVICE_IMAGE_SIZE=1000000 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// Ignore caching because image size is more than threshold
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 SYCL_CACHE_MAX_DEVICE_IMAGE_SIZE=1000 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// Use cache
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-CACHE
+// Ignore cache because of environment variable
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=0 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+//
+// The test checks environment variables which may disable caching.
+// Also it can be used for benchmarking cache:
+// Rough data collected on 32 core machine.
+// Number of lines    1      10    100    1000   10000
+// Image Size(kB)     2       2	    20	   165    1700
+// Device code build time in seconds
+// CPU OCL JIT       0.12    0.12  0.16     1.1     16
+// CPU OCL Cache     0.01    0.01  0.01	   0.02   0.08
+
+// CHECK-BUILD-NOT: piProgramCreateWithBinary(
+// CHECK-BUILD: piProgramCreate(
+// CHECK-BUILD: piProgramBuild(
+
+// CHECK-CACHE-NOT: piProgramCreate(
+// CHECK-CACHE: piProgramCreateWithBinary(
+// CHECK-CACHE: piProgramBuild(
+
+#include "cache_env_vars.hpp"
diff --git a/sycl/test-e2e/KernelAndProgram/cache_env_vars.hpp b/sycl/test-e2e/KernelAndProgram/cache_env_vars.hpp
new file mode 100644
index 0000000000000..663368b70c905
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/cache_env_vars.hpp
@@ -0,0 +1,101 @@
+#define SYCL2020_DISABLE_DEPRECATION_WARNINGS
+
+#define INC1(x) ((x) = (x) + 1);
+
+#define INC10(x)                                                               \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)                                                                      \
+  INC1(x)
+
+#define INC100(x)                                                              \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)                                                                     \
+  INC10(x)
+
+#define INC1000(x)                                                             \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)                                                                    \
+  INC100(x)
+
+#define INC10000(x)                                                            \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)                                                                   \
+  INC1000(x)
+
+#define INC100000(x)                                                           \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)                                                                  \
+  INC10000(x)
+
+#include <chrono>
+#include <iostream>
+#include <sycl/sycl.hpp>
+class Inc;
+template <class Kernel> void check_build_time(sycl::queue &q) {
+  auto start = std::chrono::steady_clock::now();
+  auto KB =
+      sycl::get_kernel_bundle<sycl::bundle_state::executable>(q.get_context());
+  auto end = std::chrono::steady_clock::now();
+
+  std::chrono::duration<double> elapsed_seconds = end - start;
+  std::cout << "elapsed build time: " << elapsed_seconds.count() << "s\n";
+}
+int main(int argc, char **argv) {
+  auto start = std::chrono::steady_clock::now();
+  // Test program and kernel APIs when building a kernel.
+  {
+    sycl::queue q;
+    check_build_time<Inc>(q);
+
+    int data = 0;
+    {
+      sycl::buffer<int, 1> buf(&data, sycl::range<1>(1));
+      sycl::range<1> NumOfWorkItems{buf.get_count()};
+
+      q.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.parallel_for<class Inc>(
+            NumOfWorkItems, [=](sycl::id<1> WIid) { TARGET_IMAGE(acc[0]) });
+      });
+    }
+    // check_build_time<Inc>(q);
+    auto end = std::chrono::steady_clock::now();
+    std::chrono::duration<double> elapsed_seconds = end - start;
+    std::cout << "elapsed kernel time: " << elapsed_seconds.count() << "s\n";
+  }
+}
diff --git a/sycl/test-e2e/KernelAndProgram/cache_env_vars_lin.cpp b/sycl/test-e2e/KernelAndProgram/cache_env_vars_lin.cpp
new file mode 100644
index 0000000000000..8779f607ed969
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/cache_env_vars_lin.cpp
@@ -0,0 +1,33 @@
+// No JITing for host devices and diffrent environment variables on linux and
+// windows.
+// REQUIRES: (level_zero || opencl) && linux
+
+// RUN: rm -rf %t/cache_dir
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -DTARGET_IMAGE=INC100
+
+// When no environment variables pointing cache directory are set the cache is
+// disabled
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 env -u SYCL_CACHE_DIR env -u HOME env -u XDG_CACHE_HOME SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 env -u SYCL_CACHE_DIR env -u HOME env -u XDG_CACHE_HOME SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+
+// When any of environment variables pointing to cache root is present cache is
+// enabled
+// RUN: rm -rf %t/cache_dir
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 XDG_CACHE_HOME=%t/cache_dir SYCL_PI_TRACE=-1 env -u SYCL_CACHE_DIR env -u HOME %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 XDG_CACHE_HOME=%t/cache_dir SYCL_PI_TRACE=-1 env -u SYCL_CACHE_DIR env -u HOME %t.out | FileCheck %s --check-prefixes=CHECK-CACHE
+// RUN: rm -rf %t/cache_dir
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 env -u XDG_CACHE_HOME env -u HOME %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 env -u XDG_CACHE_HOME env -u HOME %t.out %t.out | FileCheck %s --check-prefixes=CHECK-CACHE
+// RUN: rm -rf %t/cache_dir
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 HOME=%t/cache_dir SYCL_PI_TRACE=-1 env -u XDG_CACHE_HOME env -u SYCL_CACHE_DIR %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: %BE_RUN_PLACEHOLDER SYCL_CACHE_PERSISTENT=1 HOME=%t/cache_dir SYCL_PI_TRACE=-1 env -u XDG_CACHE_HOME env -u SYCL_CACHE_DIR %t.out | FileCheck %s --check-prefixes=CHECK-CACHE
+
+// CHECK-BUILD-NOT: piProgramCreateWithBinary(
+// CHECK-BUILD: piProgramCreate(
+// CHECK-BUILD: piProgramBuild(
+
+// CHECK-CACHE-NOT: piProgramCreate(
+// CHECK-CACHE: piProgramCreateWithBinary(
+// CHECK-CACHE: piProgramBuild(
+
+#include "cache_env_vars.hpp"
diff --git a/sycl/test-e2e/KernelAndProgram/cache_env_vars_win.cpp b/sycl/test-e2e/KernelAndProgram/cache_env_vars_win.cpp
new file mode 100644
index 0000000000000..4d4e9353c5897
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/cache_env_vars_win.cpp
@@ -0,0 +1,30 @@
+// No JITing for host devices and diffrent environment variables on linux and
+// windows.
+// REQUIRES: (level_zero || opencl) && windows
+
+// RUN: rm -rf %t/cache_dir
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -DTARGET_IMAGE=INC100
+
+// When no environment variables pointing cache directory are set the cache is
+// disabled
+// RUN: env SYCL_CACHE_PERSISTENT=1 env -u SYCL_CACHE_DIR env -u AppData SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: env SYCL_CACHE_PERSISTENT=1 env -u SYCL_CACHE_DIR env -u AppData SYCL_PI_TRACE=-1 %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+
+// When any of environment variables pointing to cache root is present cache is
+// enabled
+// RUN: rm -rf %t/cache_dir
+// RUN: env SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 env -u AppData %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: env SYCL_CACHE_PERSISTENT=1 SYCL_CACHE_DIR=%t/cache_dir SYCL_PI_TRACE=-1 env -u AppData %t.out %t.out | FileCheck %s --check-prefixes=CHECK-CACHE
+// RUN: rm -rf %t/cache_dir
+// RUN: env SYCL_CACHE_PERSISTENT=1 AppData=%t/cache_dir SYCL_PI_TRACE=-1 env -u SYCL_CACHE_DIR %t.out | FileCheck %s --check-prefixes=CHECK-BUILD
+// RUN: env SYCL_CACHE_PERSISTENT=1 AppData=%t/cache_dir SYCL_PI_TRACE=-1 env -u SYCL_CACHE_DIR %t.out | FileCheck %s --check-prefixes=CHECK-CACHE
+
+// CHECK-BUILD-NOT: piProgramCreateWithBinary(
+// CHECK-BUILD: piProgramCreate(
+// CHECK-BUILD: piProgramBuild(
+
+// CHECK-CACHE-NOT: piProgramCreate(
+// CHECK-CACHE: piProgramCreateWithBinary(
+// CHECK-CACHE: piProgramBuild(
+
+#include "cache_env_vars.hpp"
diff --git a/sycl/test-e2e/KernelAndProgram/kernel-bundle-get-kernel.cpp b/sycl/test-e2e/KernelAndProgram/kernel-bundle-get-kernel.cpp
new file mode 100644
index 0000000000000..ffdc6eead556c
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/kernel-bundle-get-kernel.cpp
@@ -0,0 +1,50 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test checks whether the Kernel object returned from
+// kernel_bundle::get_kernel<typename KernelName>() is the same as a Kernel
+// object retrieved via other methods.
+
+#include <sycl/sycl.hpp>
+
+class KernelA;
+
+int main() {
+  sycl::queue Queue;
+
+  sycl::device Dev = Queue.get_device();
+
+  sycl::context Ctx = Queue.get_context();
+
+  Queue.submit([&](sycl::handler &CGH) { CGH.single_task<KernelA>([=]() {}); });
+
+  sycl::kernel_bundle KernelBundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::executable>(Ctx, {Dev});
+
+  auto FoundKernel = KernelBundle.get_kernel<KernelA>();
+  auto ExpectedKernel = KernelBundle.get_kernel(sycl::get_kernel_id<KernelA>());
+
+  // operator== isn't guaranteed to work in this scenario, so compare traits
+  // about the kernels instead.
+  auto FoundKernelName =
+      FoundKernel.get_info<sycl::info::kernel::function_name>();
+  auto ExpectedKernelName =
+      ExpectedKernel.get_info<sycl::info::kernel::function_name>();
+
+  auto FoundKernelNumArgs =
+      FoundKernel.get_info<sycl::info::kernel::num_args>();
+  auto ExpectedKernelNumArgs =
+      ExpectedKernel.get_info<sycl::info::kernel::num_args>();
+
+  auto FoundKernelContext = FoundKernel.get_info<sycl::info::kernel::context>();
+  auto ExpectedKernelContext =
+      ExpectedKernel.get_info<sycl::info::kernel::context>();
+
+  assert(FoundKernelName == ExpectedKernelName);
+  assert(FoundKernelNumArgs == ExpectedKernelNumArgs);
+  assert(FoundKernelContext == ExpectedKernelContext);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options-env.cpp b/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options-env.cpp
index d896f3b343c91..8f52baef28139 100644
--- a/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options-env.cpp
+++ b/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options-env.cpp
@@ -6,7 +6,6 @@
 // RUN: %GPU_RUN_PLACEHOLDER SYCL_PI_TRACE=-1 SYCL_PROGRAM_COMPILE_OPTIONS=-DENV_COMPILE_OPTS SYCL_PROGRAM_LINK_OPTIONS=-DENV_LINK_OPTS %t.out %GPU_CHECK_PLACEHOLDER
 // REQUIRES: gpu
 // UNSUPPORTED: hip
-// UNSUPPORTED: ze_debug-1,ze_debug4
 
 #include "kernel-bundle-merge-options.hpp"
 
diff --git a/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options.cpp b/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options.cpp
index 08ecb9dbda64b..ffcc625476972 100644
--- a/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options.cpp
+++ b/sycl/test-e2e/KernelAndProgram/kernel-bundle-merge-options.cpp
@@ -6,7 +6,7 @@
 // Debug option -g is not passed to device code compiler when CL-style driver
 // is used and /DEBUG options is passed.
 // XFAIL: cl_options
-// UNSUPPORTED: ze_debug-1,ze_debug4
+
 #include "kernel-bundle-merge-options.hpp"
 
 // CHECK: piProgramBuild
diff --git a/sycl/test-e2e/KernelAndProgram/level-zero-link-flags.cpp b/sycl/test-e2e/KernelAndProgram/level-zero-link-flags.cpp
new file mode 100644
index 0000000000000..c3273e9807925
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/level-zero-link-flags.cpp
@@ -0,0 +1,46 @@
+// RUN: %clangxx -fsycl -Xsycl-target-linker=spir64 -foo %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// REQUIRES: level_zero
+//==--- level-zero-link-flags.cpp - Error handling for link flags --==//
+//
+// The Level Zero backend does not accept any online linker options.
+// This test validates that an error is raised if you attempt to pass any.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===--------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+class MyKernel;
+
+void test() {
+  sycl::queue Queue;
+  sycl::context Context = Queue.get_context();
+
+  auto BundleInput =
+      sycl::get_kernel_bundle<MyKernel, sycl::bundle_state::input>(Context);
+  auto BundleObject = sycl::compile(BundleInput);
+
+  try {
+    sycl::link(BundleObject);
+    assert(false && "Expected error linking kernel bundle");
+  } catch (const sycl::exception &e) {
+    std::string Msg(e.what());
+    assert((e.code() == sycl::errc::build) && "Wrong error code");
+    assert(Msg.find("-foo") != std::string::npos);
+  } catch (...) {
+    assert(false && "Expected sycl::exception");
+  }
+
+  Queue.submit([&](sycl::handler &CGH) { CGH.single_task<MyKernel>([=] {}); })
+      .wait();
+}
+
+int main() {
+  test();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelAndProgram/level-zero-static-link-flow.cpp b/sycl/test-e2e/KernelAndProgram/level-zero-static-link-flow.cpp
new file mode 100644
index 0000000000000..5e7f72dfc8818
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/level-zero-static-link-flow.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_PI_TRACE=-1 ZE_DEBUG=1 %t.out 2>&1 | FileCheck %s
+// REQUIRES: level_zero
+//
+//==--- level-zero-static-link-flow.cpp.cpp - Check L0 static link flow --==//
+//
+// Run a simple program that uses online linking and verify that the sequence
+// of calls to the plugin and to the Level Zero driver are consistent with the
+// "static linking" implementation.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===--------------------------------------------------------------===//
+
+// The key thing we check here is that the call to "zeModuleCreate" does not
+// happen from "piProgramCompile".  Instead, we expect it to be delayed and
+// called from "piProgramLink".
+//
+// CHECK: ---> piProgramCreate
+// CHECK: ---> piProgramCompile
+// CHECK-NOT: ZE ---> zeModuleCreate
+// CHECK: ---> piProgramLink
+// CHECK: ZE ---> zeModuleCreate
+
+#include <sycl/sycl.hpp>
+
+class MyKernel;
+
+void test() {
+  sycl::queue Queue;
+  sycl::context Context = Queue.get_context();
+
+  auto BundleInput =
+      sycl::get_kernel_bundle<MyKernel, sycl::bundle_state::input>(Context);
+  auto BundleObject = sycl::compile(BundleInput);
+  sycl::link(BundleObject);
+
+  // We need to define the kernel function, but we don't actually need to
+  // submit it to the device.
+  if (false) {
+    Queue.submit([&](sycl::handler &CGH) { CGH.single_task<MyKernel>([=] {}); })
+        .wait();
+  }
+}
+
+int main() {
+  test();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelAndProgram/spec_constants_after_link.cpp b/sycl/test-e2e/KernelAndProgram/spec_constants_after_link.cpp
new file mode 100644
index 0000000000000..808bd929d68e2
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/spec_constants_after_link.cpp
@@ -0,0 +1,144 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// FIXME: ACC devices use emulation path, which is not yet supported
+
+// HIP backend does not currently implement linking.
+// UNSUPPORTED: hip
+
+// This test checks that specialization constant information is available on
+// kernel bundles produced by sycl::link.
+
+#include <sycl/sycl.hpp>
+
+#include <optional>
+#include <vector>
+
+using namespace sycl;
+
+class Kernel1;
+class Kernel2;
+
+struct TestStruct {
+  float f;
+  long long ll;
+};
+
+bool operator==(const TestStruct &LHS, const TestStruct &RHS) {
+  return LHS.f == RHS.f && LHS.ll == RHS.ll;
+}
+bool operator!=(const TestStruct &LHS, const TestStruct &RHS) {
+  return !(LHS == RHS);
+}
+
+constexpr specialization_id<TestStruct> SpecName1;
+constexpr specialization_id<int> SpecName2;
+
+std::optional<device> FindDeviceWithOnlineLinker() {
+  std::vector<device> Devices = device::get_devices();
+  auto Device =
+      std::find_if(Devices.begin(), Devices.end(), [](const device &D) {
+        return D.has(aspect::online_linker);
+      });
+  if (Device == Devices.end())
+    return std::nullopt;
+  return *Device;
+}
+
+int main() {
+  std::optional<device> Device = FindDeviceWithOnlineLinker();
+
+  if (!Device) {
+    std::cout << "No device with aspect::online_linker. Skipping test."
+              << std::endl;
+    return 0;
+  }
+
+  context Ctx{*Device};
+
+  kernel_bundle<bundle_state::input> Bundle1 =
+      sycl::get_kernel_bundle<Kernel1, bundle_state::input>(Ctx, {*Device});
+  kernel_bundle<bundle_state::input> Bundle2 =
+      sycl::get_kernel_bundle<Kernel2, bundle_state::input>(Ctx, {*Device});
+
+  assert(Bundle1.has_specialization_constant<SpecName1>());
+  assert(Bundle2.has_specialization_constant<SpecName2>());
+  assert(!Bundle1.has_specialization_constant<SpecName2>());
+  assert(!Bundle2.has_specialization_constant<SpecName1>());
+
+  TestStruct Value1{3.14f, 1234ll};
+  int Value2 = 42;
+  Bundle1.set_specialization_constant<SpecName1>(Value1);
+  Bundle2.set_specialization_constant<SpecName2>(Value2);
+
+  kernel_bundle<bundle_state::object> ObjBundle1 = sycl::compile(Bundle1);
+  kernel_bundle<bundle_state::object> ObjBundle2 = sycl::compile(Bundle2);
+
+  assert(ObjBundle1.has_specialization_constant<SpecName1>());
+  assert(ObjBundle2.has_specialization_constant<SpecName2>());
+  assert(!ObjBundle1.has_specialization_constant<SpecName2>());
+  assert(!ObjBundle2.has_specialization_constant<SpecName1>());
+
+  kernel_bundle<bundle_state::executable> LinkedBundle =
+      sycl::link({ObjBundle1, ObjBundle2});
+
+  assert(LinkedBundle.has_specialization_constant<SpecName1>());
+  assert(LinkedBundle.has_specialization_constant<SpecName2>());
+
+  int Failures = 0;
+
+  if (LinkedBundle.get_specialization_constant<SpecName1>() != Value1) {
+    std::cout
+        << "Read value of SpecName1 on host is not the same as was written."
+        << std::endl;
+    ++Failures;
+  }
+
+  if (LinkedBundle.get_specialization_constant<SpecName2>() != Value2) {
+    std::cout
+        << "Read value of SpecName2 on host is not the same as was written."
+        << std::endl;
+    ++Failures;
+  }
+
+  TestStruct ReadValue1;
+  int ReadValue2;
+
+  {
+    queue Q{Ctx, *Device};
+
+    buffer<TestStruct> ReadValue1Buffer{&ReadValue1, 1};
+    Q.submit([&](handler &CGH) {
+      CGH.use_kernel_bundle(LinkedBundle);
+      accessor ReadValue1Acc{ReadValue1Buffer, CGH, sycl::write_only};
+      CGH.single_task<Kernel1>([=](kernel_handler KHR) {
+        ReadValue1Acc[0] = KHR.get_specialization_constant<SpecName1>();
+      });
+    });
+
+    buffer<int> ReadValue2Buffer{&ReadValue2, 1};
+    Q.submit([&](handler &CGH) {
+      CGH.use_kernel_bundle(LinkedBundle);
+      accessor ReadValue2Acc{ReadValue2Buffer, CGH, sycl::write_only};
+      CGH.single_task<Kernel2>([=](kernel_handler KHR) {
+        ReadValue2Acc[0] = KHR.get_specialization_constant<SpecName2>();
+      });
+    });
+  }
+
+  if (ReadValue1 != Value1) {
+    std::cout
+        << "Read value of SpecName1 on device is not the same as was written."
+        << std::endl;
+    ++Failures;
+  }
+
+  if (ReadValue2 != Value2) {
+    std::cout
+        << "Read value of SpecName2 on device is not the same as was written."
+        << std::endl;
+    ++Failures;
+  }
+
+  return Failures;
+}
diff --git a/sycl/test-e2e/KernelAndProgram/undefined-symbol.cpp b/sycl/test-e2e/KernelAndProgram/undefined-symbol.cpp
new file mode 100644
index 0000000000000..6cc54f80c1594
--- /dev/null
+++ b/sycl/test-e2e/KernelAndProgram/undefined-symbol.cpp
@@ -0,0 +1,57 @@
+// for CUDA and HIP the failure happens at compile time, not during runtime
+// UNSUPPORTED: cuda || hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==--- undefined-symbol.cpp - Error handling for undefined device symbol --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===--------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+SYCL_EXTERNAL
+void symbol_that_does_not_exist();
+
+void test() {
+  sycl::queue Queue;
+
+  auto Kernel = []() {
+#ifdef __SYCL_DEVICE_ONLY__
+    // This is not guaranteed by the SYCL specification, but DPC++ currently
+    // does not diagnose an error at compilation/link time if a kernel
+    // references an undefined symbol from within code that is protected by
+    // __SYCL_DEVICE_ONLY__.  As a result, this error is delayed and diagnosed
+    // at runtime when the kernel is submitted to a device.
+    //
+    // This test is "unsupported" on the host device because the kernel does
+    // not actually contain an undefined reference in that case.
+    symbol_that_does_not_exist();
+#endif // __SYCL_DEVICE_ONLY__
+  };
+
+  try {
+    Queue.submit(
+        [&](sycl::handler &CGH) { CGH.single_task<class SingleTask>(Kernel); });
+    assert(false && "Expected error submitting kernel");
+  } catch (const sycl::exception &e) {
+    assert((e.code() == sycl::errc::build) && "Wrong error code");
+
+    // Error message should mention name of undefined symbol.
+    std::string Msg(e.what());
+    assert(Msg.find("symbol_that_does_not_exist") != std::string::npos);
+  } catch (...) {
+    assert(false && "Expected sycl::exception");
+  }
+}
+
+int main() {
+  test();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/abort_fusion.cpp b/sycl/test-e2e/KernelFusion/abort_fusion.cpp
new file mode 100644
index 0000000000000..587a89e1fdcab
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/abort_fusion.cpp
@@ -0,0 +1,92 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test fusion being aborted: Different scenarios causing the JIT compiler
+// to abort fusion due to constraint violations for fusion. Also check that
+// warnings are printed when SYCL_RT_WARNING_LEVEL=1.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t dataSize = 512;
+
+enum class Internalization { None, Local, Private };
+
+template <typename Kernel1Name, typename Kernel2Name, int Kernel1Dim>
+void performFusion(queue &q, range<Kernel1Dim> k1Global,
+                   range<Kernel1Dim> k1Local) {
+  int in[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in[i] = i;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+  {
+    buffer<int> bIn{in, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw(q);
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn = bIn.get_access(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<Kernel1Name>(nd_range<Kernel1Dim>{k1Global, k1Local},
+                                    [=](item<Kernel1Dim> i) {
+                                      auto LID = i.get_linear_id();
+                                      accTmp[LID] = accIn[LID] + 5;
+                                    });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<Kernel2Name>(nd_range<1>{{dataSize}, {8}}, [=](id<1> i) {
+        accOut[i] = accTmp[i] * 2;
+      });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  size_t numErrors = 0;
+  for (size_t i = 0; i < k1Global.size(); ++i) {
+    if (out[i] != ((i + 5) * 2)) {
+      ++numErrors;
+    }
+  }
+  if (numErrors) {
+    std::cout << "COMPUTATION ERROR\n";
+  } else {
+    std::cout << "COMPUTATION OK\n";
+  }
+}
+
+int main() {
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  // Scenario: Fusing two kernels with different local size should lead to
+  // fusion being aborted.
+  performFusion<class Kernel1_3, class Kernel2_3>(q, range<1>{dataSize},
+                                                  range<1>{16});
+  // CHECK:      ERROR: JIT compilation for kernel fusion failed with message:
+  // CHECK-NEXT: Cannot fuse kernels with different offsets or local sizes
+  // CHECK-NEXT: COMPUTATION OK
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/abort_internalization.cpp b/sycl/test-e2e/KernelFusion/abort_internalization.cpp
new file mode 100644
index 0000000000000..b314bf3a0d64d
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/abort_internalization.cpp
@@ -0,0 +1,174 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: env SYCL_ENABLE_FUSION_CACHING=0 SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_ENABLE_FUSION_CACHING=0 SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test incomplete internalization: Different scenarios causing the JIT compiler
+// to abort internalization due to target or parameter mismatch. Also check that
+// warnings are printed when SYCL_RT_WARNING_LEVEL=1.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t dataSize = 512;
+
+enum class Internalization { None, Local, Private };
+
+void performFusion(queue &q, Internalization intKernel1,
+                   size_t localSizeKernel1, Internalization intKernel2,
+                   size_t localSizeKernel2,
+                   bool expectInternalization = false) {
+  int in[dataSize], tmp[dataSize], out[dataSize];
+  for (size_t i = 0; i < dataSize; ++i) {
+    in[i] = i;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+  {
+    buffer<int> bIn{in, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn = bIn.get_access(cgh);
+      property_list properties{};
+      if (intKernel1 == Internalization::Private) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_private{}};
+      } else if (intKernel1 == Internalization::Local) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_local{}};
+      }
+      accessor<int> accTmp = bTmp.get_access(cgh, properties);
+
+      if (localSizeKernel1 > 0) {
+        cgh.parallel_for<class Kernel1>(
+            nd_range<1>{{dataSize}, {localSizeKernel1}},
+            [=](id<1> i) { accTmp[i] = accIn[i] + 5; });
+      } else {
+        cgh.parallel_for<class KernelOne>(
+            dataSize, [=](id<1> i) { accTmp[i] = accIn[i] + 5; });
+      }
+    });
+
+    q.submit([&](handler &cgh) {
+      property_list properties{};
+      if (intKernel2 == Internalization::Private) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_private{}};
+      } else if (intKernel2 == Internalization::Local) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_local{}};
+      }
+      accessor<int> accTmp = bTmp.get_access(cgh, properties);
+      auto accOut = bOut.get_access(cgh);
+      if (localSizeKernel2 > 0) {
+        cgh.parallel_for<class Kernel2>(
+            nd_range<1>{{dataSize}, {localSizeKernel2}},
+            [=](id<1> i) { accOut[i] = accTmp[i] * 2; });
+      } else {
+        cgh.parallel_for<class KernelTwo>(
+            dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * 2; });
+      }
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  size_t numErrors = 0;
+  size_t numInternalized = 0;
+  for (size_t i = 0; i < dataSize; ++i) {
+    if (out[i] != ((i + 5) * 2)) {
+      ++numErrors;
+    }
+    if (tmp[i] == -1) {
+      ++numInternalized;
+    }
+  }
+  if (numErrors) {
+    std::cout << "COMPUTATION ERROR\n";
+    return;
+  }
+  if (!expectInternalization && numInternalized) {
+    std::cout << "WRONG INTERNALIZATION\n";
+    return;
+  }
+  std::cout << "COMPUTATION OK\n";
+}
+
+int main() {
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  // Scenario: One accessor without internalization, one with local
+  // internalization. Should fall back to no internalization and print a
+  // warning.
+  std::cout << "None, Local(0)\n";
+  performFusion(q, Internalization::None, 0, Internalization::Local, 0);
+  // CHECK: None, Local(0)
+  // CHECK-NEXT: WARNING: Not performing specified local promotion, due to previous mismatch or because previous accessor specified no promotion
+  // CHECK-NEXT: COMPUTATION OK
+
+  // Scenario: One accessor without internalization, one with private
+  // internalization. Should fall back to no internalization and print a
+  // warning.
+  std::cout << "None, Private\n";
+  performFusion(q, Internalization::None, 0, Internalization::Private, 0);
+  // CHECK-NEXT: None, Private
+  // CHECK-NEXT: WARNING: Not performing specified private promotion, due to previous mismatch or because previous accessor specified no promotion
+  // CHECK-NEXT: COMPUTATION OK
+
+  // Scenario: Both accessor with local promotion, but the second kernel does
+  // not specify a work-group size. No promotion should happen and a warning
+  // should be printed.
+  std::cout << "Local(8), Local(0)\n";
+  performFusion(q, Internalization::Local, 8, Internalization::Local, 0);
+  // CHECK-NEXT: Local(8), Local(0)
+  // CHECK-NEXT: WARNING: Work-group size for local promotion not specified, not performing internalization
+  // CHECK-NEXT: COMPUTATION OK
+
+  // Scenario: Both accessor with local promotion, but the first kernel does
+  // not specify a work-group size. No promotion should happen and a warning
+  // should be printed.
+  std::cout << "Local(0), Local(8)\n";
+  performFusion(q, Internalization::Local, 0, Internalization::Local, 8);
+  // CHECK-NEXT: Local(0), Local(8)
+  // CHECK-NEXT: WARNING: Work-group size for local promotion not specified, not performing internalization
+  // CHECK-NEXT: WARNING: Not performing specified local promotion, due to previous mismatch or because previous accessor specified no promotion
+  // CHECK-NEXT: COMPUTATION OK
+
+  // Scenario: Both accessor with local promotion, but the kernels specify
+  // different work-group sizes. No promotion should happen and a warning should
+  // be printed.
+  std::cout << "Local(8), Local(16)\n";
+  performFusion(q, Internalization::Local, 8, Internalization::Local, 16);
+  // CHECK-NEXT: Local(8), Local(16)
+  // CHECK-NEXT: WARNING: Not performing specified local promotion due to work-group size mismatch
+  // CHECK-NEXT: ERROR: JIT compilation for kernel fusion failed with message:
+  // CHECK-NEXT: Cannot fuse kernels with different offsets or local sizes
+  // CHECK-NEXT: COMPUTATION OK
+
+  // Scenario: One accessor with local internalization, one with private
+  // internalization. Should fall back to local internalization and print a
+  // warning.
+  std::cout << "Local(8), Private(8)\n";
+  performFusion(q, Internalization::Local, 8, Internalization::Private, 8,
+                /* expectInternalization */ true);
+  // CHECK-NEXT: Local(8), Private(8)
+  // CHECK-NEXT: WARNING: Performing local internalization instead, because previous accessor specified local promotion
+  // CHECK-NEXT: COMPUTATION OK
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/abort_internalization_stored_ptr.cpp b/sycl/test-e2e/KernelFusion/abort_internalization_stored_ptr.cpp
new file mode 100644
index 0000000000000..c3d49cea3c1ab
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/abort_internalization_stored_ptr.cpp
@@ -0,0 +1,84 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER --implicit-check-not "Computation error" --implicit-check-not "Internalized"
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER --implicit-check-not "Computation error" --implicit-check-not "Internalized"
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test pointers being stored are not internalized.
+
+// CHECK:      Unable to perform all promotions for function {{.*}}. Detailed information:
+// CHECK-NEXT: Failed to promote argument 0 of function {{.*}}: It is not safe to promote values being stored to another pointer
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+
+using namespace sycl;
+
+// Pointer will be stored in an accessor struct before being passed here.
+__attribute__((noinline)) void
+kernel_one_impl(accessor<int, 1, access::mode::read_write> acc, std::size_t i,
+                int lhs, int rhs) {
+  acc[i] = lhs + rhs;
+}
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  std::array<int, dataSize> in1, in2, in3, tmp, out;
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1};
+    buffer<int> bIn2{in2};
+    buffer<int> bIn3{in3};
+    buffer<int> bTmp{tmp};
+    buffer<int> bOut{out};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(dataSize, [=](id<1> i) {
+        kernel_one_impl(accTmp, i, accIn1[i], accIn2[i]);
+      });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == (5 * i) && "Internalized");
+  }
+}
diff --git a/sycl/test-e2e/KernelFusion/barrier_local_internalization.cpp b/sycl/test-e2e/KernelFusion/barrier_local_internalization.cpp
new file mode 100644
index 0000000000000..8ff486812b921
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/barrier_local_internalization.cpp
@@ -0,0 +1,83 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with local internalization and a combination of kernels
+// that require a work-group barrier to be inserted by fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{
+        tmp,
+        range{dataSize},
+        {sycl::ext::codeplay::experimental::property::promote_local{}}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          nd_range<1>{{dataSize}, {32}}, [=](nd_item<1> i) {
+            auto workgroupSize = i.get_local_range(0);
+            auto baseOffset = i.get_group_linear_id() * workgroupSize;
+            auto localIndex = i.get_local_linear_id();
+            auto localOffset = (workgroupSize - 1) - localIndex;
+            accTmp[baseOffset + localOffset] =
+                accIn1[baseOffset + localOffset] +
+                accIn2[baseOffset + localOffset];
+          });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          nd_range<1>{{dataSize}, {32}}, [=](nd_item<1> i) {
+            auto index = i.get_global_linear_id();
+            accOut[index] = accTmp[index] * accIn3[index];
+          });
+    });
+
+    fw.complete_fusion();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/buffer_internalization.cpp b/sycl/test-e2e/KernelFusion/buffer_internalization.cpp
new file mode 100644
index 0000000000000..102441ed1b8c8
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/buffer_internalization.cpp
@@ -0,0 +1,72 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// buffer.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{
+        tmp,
+        range{dataSize},
+        {sycl::ext::codeplay::experimental::property::promote_private{}}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/cancel_fusion.cpp b/sycl/test-e2e/KernelFusion/cancel_fusion.cpp
new file mode 100644
index 0000000000000..6c94f9902579a
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/cancel_fusion.cpp
@@ -0,0 +1,67 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test cancel fusion
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.cancel_fusion();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/device_info_descriptor.cpp b/sycl/test-e2e/KernelFusion/device_info_descriptor.cpp
new file mode 100644
index 0000000000000..91bd1622a5a5f
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/device_info_descriptor.cpp
@@ -0,0 +1,23 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL: cuda || hip
+// REQUIRES: fusion
+
+// Test correct return from device information descriptor.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+
+  queue q;
+
+  assert(q.get_device()
+             .get_info<sycl::ext::codeplay::experimental::info::device::
+                           supports_fusion>() &&
+         "Device should support fusion");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/diamond_shape.cpp b/sycl/test-e2e/KernelFusion/diamond_shape.cpp
new file mode 100644
index 0000000000000..54a513fbfc71a
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/diamond_shape.cpp
@@ -0,0 +1,106 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// accessors for a combination of four kernels, forming a diamond-like shape and
+// repeating one of the kernels.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+struct AddKernel {
+  accessor<int, 1> accIn1;
+  accessor<int, 1> accIn2;
+  accessor<int, 1> accOut;
+
+  void operator()(id<1> i) const { accOut[i] = accIn1[i] + accIn2[i]; }
+};
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp1[dataSize],
+      tmp2[dataSize], tmp3[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp1[i] = -1;
+    tmp2[i] = -1;
+    tmp3[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp1{tmp1, range{dataSize}};
+    buffer<int> bTmp2{tmp2, range{dataSize}};
+    buffer<int> bTmp3{tmp3, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp1 = bTmp1.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<AddKernel>(dataSize, AddKernel{accIn1, accIn2, accTmp1});
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp1 = bTmp1.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accTmp2 = bTmp2.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp2[i] = accTmp1[i] * accIn3[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp1 = bTmp1.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accTmp3 = bTmp3.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accTmp3[i] = accTmp1[i] * 5; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp2 = bTmp2.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accTmp3 = bTmp3.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<AddKernel>(dataSize,
+                                  AddKernel{accTmp2, accTmp3, accOut});
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i + i * 25) && "Computation error");
+    assert(tmp1[i] == -1 && "tmp1 not internalized");
+    assert(tmp2[i] == -1 && "tmp2 not internalized");
+    assert(tmp3[i] == -1 && "tmp3 not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/different_nd_ranges.cpp b/sycl/test-e2e/KernelFusion/different_nd_ranges.cpp
new file mode 100644
index 0000000000000..d2212eb27f565
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/different_nd_ranges.cpp
@@ -0,0 +1,270 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion of kernels with different ND-ranges.
+
+// Kernels with different ND-ranges should be fused.
+// CHECK-NOT: Cannot fuse kernels with different offsets or local sizes
+
+#include <sycl/sycl.hpp>
+
+#include <algorithm>
+
+using namespace sycl;
+
+////////////////////////////////////////////////////////////////////////////////
+// Kernels
+////////////////////////////////////////////////////////////////////////////////
+
+using DataTy = vec<uint16_t, 3>;
+using VecTy = std::vector<DataTy>;
+
+template <std::size_t Dimensions> class FillBase {
+public:
+  FillBase(accessor<DataTy, 1, access_mode::write> GS,
+           accessor<DataTy, 1, access_mode::write> LS,
+           accessor<DataTy, 1, access_mode::write> GrS,
+           accessor<DataTy, 1, access_mode::write> G,
+           accessor<DataTy, 1, access_mode::write> L,
+           accessor<DataTy, 1, access_mode::write> Gr)
+      : GS{GS}, LS{LS}, GrS{GrS}, G{G}, L{L}, Gr{Gr} {}
+
+protected:
+  template <typename F> static DataTy getValue(F gen) {
+    DataTy x{0};
+    for (std::size_t i = 0; i < Dimensions; ++i) {
+      x[i] = gen(i);
+    }
+    return x;
+  }
+
+  accessor<DataTy, 1, access_mode::write> GS;
+  accessor<DataTy, 1, access_mode::write> LS;
+  accessor<DataTy, 1, access_mode::write> GrS;
+  accessor<DataTy, 1, access_mode::write> G;
+  accessor<DataTy, 1, access_mode::write> L;
+  accessor<DataTy, 1, access_mode::write> Gr;
+};
+
+template <int Dimensions> class Fill : public FillBase<Dimensions> {
+public:
+  using FillBase<Dimensions>::FillBase;
+  using FillBase<Dimensions>::getValue;
+
+  void operator()(item<Dimensions> i) const {
+    const auto lid = i.get_linear_id();
+
+    FillBase<Dimensions>::GS[lid] =
+        getValue([i](int arg) { return i.get_range(arg); });
+    FillBase<Dimensions>::G[lid] =
+        getValue([i](int arg) { return i.get_id(arg); });
+  }
+};
+
+template <int Dimensions> class FillLS : public FillBase<Dimensions> {
+public:
+  using FillBase<Dimensions>::FillBase;
+  using FillBase<Dimensions>::getValue;
+
+  void operator()(nd_item<Dimensions> nd) const {
+    const auto lid = nd.get_global_linear_id();
+    FillBase<Dimensions>::GS[lid] =
+        getValue([nd](int arg) { return nd.get_global_range(arg); });
+    FillBase<Dimensions>::LS[lid] =
+        getValue([nd](int arg) { return nd.get_local_range(arg); });
+    FillBase<Dimensions>::GrS[lid] =
+        getValue([nd](int arg) { return nd.get_group_range(arg); });
+    FillBase<Dimensions>::G[lid] =
+        getValue([nd](int arg) { return nd.get_global_id(arg); });
+    FillBase<Dimensions>::L[lid] =
+        getValue([nd](int arg) { return nd.get_local_id(arg); });
+    FillBase<Dimensions>::Gr[lid] =
+        getValue([nd](int arg) { return nd.get_group(arg); });
+  }
+};
+
+////////////////////////////////////////////////////////////////////////////////
+// Range description
+////////////////////////////////////////////////////////////////////////////////
+
+struct RangeDesc {
+  using Indices = std::array<std::size_t, 3>;
+
+  constexpr RangeDesc(std::initializer_list<std::size_t> GS)
+      : Dimensions{static_cast<int>(GS.size())}, GS{init(GS)},
+        LS{std::nullopt} {}
+  constexpr RangeDesc(std::initializer_list<std::size_t> GS,
+                      std::initializer_list<std::size_t> LS)
+      : Dimensions{static_cast<int>(GS.size())}, GS{init(GS)}, LS{init(LS)} {}
+
+  constexpr std::size_t num_work_items() const { return GS[0] * GS[1] * GS[2]; }
+
+  int Dimensions;
+  Indices GS;
+  std::optional<Indices> LS;
+
+  template <std::size_t D> range<D> get_range() const;
+  template <std::size_t D> nd_range<D> get_nd_range() const;
+
+private:
+  static constexpr Indices init(std::initializer_list<std::size_t> sizes) {
+    Indices res{1, 1, 1};
+    std::copy(sizes.begin(), sizes.end(), res.begin());
+    return res;
+  }
+};
+
+template <> range<1> RangeDesc::get_range<1>() const { return {GS[0]}; }
+
+template <> range<2> RangeDesc::get_range<2>() const { return {GS[0], GS[1]}; }
+
+template <> range<3> RangeDesc::get_range<3>() const {
+  return {GS[0], GS[1], GS[2]};
+}
+
+template <> nd_range<1> RangeDesc::get_nd_range<1>() const {
+  return {get_range<1>(), {(*LS)[0]}};
+}
+
+template <> nd_range<2> RangeDesc::get_nd_range<2>() const {
+  return {get_range<2>(), {(*LS)[0], (*LS)[1]}};
+}
+
+template <> nd_range<3> RangeDesc::get_nd_range<3>() const {
+  return {get_range<3>(), {(*LS)[0], (*LS)[1], (*LS)[2]}};
+}
+
+////////////////////////////////////////////////////////////////////////////////
+// Test
+////////////////////////////////////////////////////////////////////////////////
+
+using TestResult = std::vector<VecTy>;
+
+TestResult run(const std::vector<RangeDesc> &sizes, bool fuse) {
+  const auto numWorkItems =
+      std::max_element(sizes.begin(), sizes.end(),
+                       [](const auto &LHS, const auto &RHS) {
+                         return LHS.num_work_items() < RHS.num_work_items();
+                       })
+          ->num_work_items();
+  TestResult res(6 * sizes.size(), VecTy(numWorkItems));
+
+  {
+    queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+    std::vector<buffer<DataTy>> Buffers;
+    Buffers.reserve(res.size());
+    for (auto &v : res) {
+      Buffers.emplace_back(v);
+    }
+    if (fuse) {
+      ext::codeplay::experimental::fusion_wrapper fw{q};
+      fw.start_fusion();
+    }
+    for (std::size_t i = 0; i < sizes.size(); ++i) {
+      q.submit([&](handler &cgh) {
+        const auto &size = *(sizes.begin() + i);
+        const auto j = i * 6;
+        accessor GS{Buffers[j], cgh, write_only};
+        accessor LS{Buffers[j + 1], cgh, write_only};
+        accessor GrS{Buffers[j + 2], cgh, write_only};
+        accessor G{Buffers[j + 3], cgh, write_only};
+        accessor L{Buffers[j + 4], cgh, write_only};
+        accessor Gr{Buffers[j + 5], cgh, write_only};
+        if (size.LS) {
+          switch (size.Dimensions) {
+          case 1:
+            cgh.parallel_for(size.template get_nd_range<1>(),
+                             FillLS<1>{GS, LS, GrS, G, L, Gr});
+            break;
+          case 2:
+            cgh.parallel_for(size.template get_nd_range<2>(),
+                             FillLS<2>{GS, LS, GrS, G, L, Gr});
+            break;
+          case 3:
+            cgh.parallel_for(size.template get_nd_range<3>(),
+                             FillLS<3>{GS, LS, GrS, G, L, Gr});
+            break;
+          }
+        } else {
+          switch (size.Dimensions) {
+          case 1:
+            cgh.parallel_for(size.template get_range<1>(),
+                             Fill<1>{GS, LS, GrS, G, L, Gr});
+            break;
+          case 2:
+            cgh.parallel_for(size.template get_range<2>(),
+                             Fill<2>{GS, LS, GrS, G, L, Gr});
+            break;
+          case 3:
+            cgh.parallel_for(size.template get_range<3>(),
+                             Fill<3>{GS, LS, GrS, G, L, Gr});
+            break;
+          }
+        }
+      });
+    }
+    if (fuse) {
+      ext::codeplay::experimental::fusion_wrapper fw{q};
+      assert(fw.is_in_fusion_mode() && "Fusion failed");
+      fw.complete_fusion(
+          {ext::codeplay::experimental::property::no_barriers{}});
+      assert(!fw.is_in_fusion_mode() && "Fusion failed");
+    }
+  }
+
+  return res;
+}
+
+void test(const std::vector<RangeDesc> &sizes) {
+  const auto res = run(sizes, /*fuse*/ false);
+  const auto fusedRes = run(sizes, /*fuse*/ true);
+  assert(std::equal(res.begin(), res.end(), fusedRes.begin(),
+                    [](const auto &LHS, const auto &RHS) {
+                      return std::equal(LHS.begin(), LHS.end(), RHS.begin(),
+                                        [](const auto &LHS, const auto &RHS) {
+                                          return all(LHS == RHS);
+                                        });
+                    }) &&
+         "COMPUTATION ERROR");
+}
+
+int main() {
+  // 1-D kernels with different global sizes
+  test({RangeDesc{10}, RangeDesc{20}});
+  test({RangeDesc{10}, RangeDesc{20}, RangeDesc{30}});
+
+  // Two 1-D kernels with different global sizes and a 2-D kernel with more
+  // work-items.
+  test({RangeDesc{10}, RangeDesc{20}, RangeDesc{10, 10}});
+
+  // Two 1-D kernels with different global sizes and specified (equal) local
+  // size.
+  const auto R2 = {2ul};
+  test({RangeDesc{{10}, R2}, RangeDesc{{20}, R2}});
+
+  // Three 1-D kernels with different global sizes and specified (equal) local
+  // size.
+  const auto R5 = {5ul};
+  test({RangeDesc{{10}, R5}, RangeDesc{{20}, R5}, RangeDesc{{30}, R5}});
+
+  // Two 1-D kernels with different global sizes and a 2-D kernel with more
+  // work-items and specified (equal) local size.
+  test({RangeDesc{{10}, R2}, RangeDesc{{20}, R2}, RangeDesc{{10, 10}, {2, 1}}});
+
+  // Three 2-D kernels with different global sizes.
+  test({RangeDesc{{10, 15}, {2, 5}}, RangeDesc{{20, 10}, {2, 5}},
+        RangeDesc{{10, 5}, {2, 5}}});
+
+  // Three 3-D kernels with different global sizes.
+  test({RangeDesc{{10, 4, 2}, {5, 2, 1}}, RangeDesc{{20, 2, 4}, {5, 2, 1}},
+        RangeDesc{{10, 2, 4}, {5, 2, 1}}});
+
+  // 1-D, 2-D and 3-D kernels with different global sizes.
+  test({RangeDesc{{10}, R5}, RangeDesc{{10, 1}, {5, 1}},
+        RangeDesc{{10, 1, 1}, {5, 1, 1}}});
+}
diff --git a/sycl/test-e2e/KernelFusion/event_wait_cancel.cpp b/sycl/test-e2e/KernelFusion/event_wait_cancel.cpp
new file mode 100644
index 0000000000000..63a049aaa1ba4
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/event_wait_cancel.cpp
@@ -0,0 +1,83 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test validity of events after cancel_fusion.
+
+#include "fusion_event_test_common.h"
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  if (!q.get_device().has(sycl::aspect::usm_shared_allocations)) {
+    return 0;
+  }
+
+  int *in1 = sycl::malloc_shared<int>(dataSize, q);
+  int *in2 = sycl::malloc_shared<int>(dataSize, q);
+  int *in3 = sycl::malloc_shared<int>(dataSize, q);
+  int *tmp = sycl::malloc_shared<int>(dataSize, q);
+  int *out = sycl::malloc_shared<int>(dataSize, q);
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw{q};
+  fw.start_fusion();
+
+  assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  auto kernel1 = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp[i] = in1[i] + in2[i]; });
+  });
+
+  auto kernel2 = q.submit([&](handler &cgh) {
+    cgh.depends_on(kernel1);
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out[i] = tmp[i] * in3[i]; });
+  });
+
+  fw.cancel_fusion();
+
+  assert(!fw.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  kernel1.wait();
+  assert(isEventComplete(kernel1) && "Event should be complete");
+  // The event returned by submit while in fusion mode depends on both
+  // individual kernels to be executed.
+  assert(kernel1.get_wait_list().size() == 2);
+
+  kernel2.wait();
+  assert(isEventComplete(kernel2) && "Event should be complete");
+  // The event returned by submit while in fusion mode depends on both
+  // individual kernels to be executed.
+  assert(kernel2.get_wait_list().size() == 2);
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  sycl::free(in1, q);
+  sycl::free(in2, q);
+  sycl::free(in3, q);
+  sycl::free(tmp, q);
+  sycl::free(out, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/event_wait_complete.cpp b/sycl/test-e2e/KernelFusion/event_wait_complete.cpp
new file mode 100644
index 0000000000000..e0ab53bf566dd
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/event_wait_complete.cpp
@@ -0,0 +1,93 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test validity of events after complete_fusion.
+
+#include "fusion_event_test_common.h"
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  if (!q.get_device().has(sycl::aspect::usm_shared_allocations)) {
+    return 0;
+  }
+
+  int *in1 = sycl::malloc_shared<int>(dataSize, q);
+  int *in2 = sycl::malloc_shared<int>(dataSize, q);
+  int *in3 = sycl::malloc_shared<int>(dataSize, q);
+  int *tmp = sycl::malloc_shared<int>(dataSize, q);
+  int *out = sycl::malloc_shared<int>(dataSize, q);
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw{q};
+  fw.start_fusion();
+
+  assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  auto kernel1 = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp[i] = in1[i] + in2[i]; });
+  });
+
+  auto kernel2 = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out[i] = tmp[i] * in3[i]; });
+  });
+
+  auto complete = fw.complete_fusion(
+      {ext::codeplay::experimental::property::no_barriers{}});
+
+  assert(!fw.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  complete.wait();
+  assert(isEventComplete(complete) && "Event should be complete");
+  // The execution of the fused kennel does not depend on any events.
+  assert(complete.get_wait_list().size() == 0);
+
+  // Need to wait for the event 'kernel1' here, as it is the event associated
+  // with the placeholder, which depends on 'complete', but is a separate event.
+  kernel1.wait();
+  assert(isEventComplete(kernel1) && "Event should be complete");
+  // The event returned for submissions while in fusion mode depends on three
+  // events, for the two original kernels (which do not execute) and the fused
+  // kernel to be executed.
+  assert(kernel1.get_wait_list().size() == 3);
+
+  // 'kernel2' is the same event (associated with the placeholder) as 'kernel1',
+  // so no need to wait again.
+  assert(isEventComplete(kernel2) && "Event should be complete");
+  // The event returned for submissions while in fusion mode depends on three
+  // events, for the two original kernels (which do not execute) and the fused
+  // kernel to be executed.
+  assert(kernel2.get_wait_list().size() == 3);
+
+  // Check the results.
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  sycl::free(in1, q);
+  sycl::free(in2, q);
+  sycl::free(in3, q);
+  sycl::free(tmp, q);
+  sycl::free(out, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/fusion_event_test_common.h b/sycl/test-e2e/KernelFusion/fusion_event_test_common.h
new file mode 100644
index 0000000000000..041e8c0b2e253
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/fusion_event_test_common.h
@@ -0,0 +1,8 @@
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+static bool isEventComplete(sycl::event &ev) {
+  return ev.get_info<info::event::command_execution_status>() ==
+         info::event_command_status::complete;
+}
diff --git a/sycl/test-e2e/KernelFusion/internal_explicit_dependency.cpp b/sycl/test-e2e/KernelFusion/internal_explicit_dependency.cpp
new file mode 100644
index 0000000000000..b30082788c9cb
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/internal_explicit_dependency.cpp
@@ -0,0 +1,85 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion where one kernel in the fusion list specifies an
+// explicit dependency (via events) on another kernel in the fusion list.
+
+#include "fusion_event_test_common.h"
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  if (!q.get_device().has(sycl::aspect::usm_shared_allocations)) {
+    return 0;
+  }
+
+  int *in1 = sycl::malloc_shared<int>(dataSize, q);
+  int *in2 = sycl::malloc_shared<int>(dataSize, q);
+  int *in3 = sycl::malloc_shared<int>(dataSize, q);
+  int *tmp = sycl::malloc_shared<int>(dataSize, q);
+  int *out = sycl::malloc_shared<int>(dataSize, q);
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw{q};
+  fw.start_fusion();
+
+  assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  auto kernel1 = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp[i] = in1[i] + in2[i]; });
+  });
+
+  auto kernel2 = q.submit([&](handler &cgh) {
+    cgh.depends_on(kernel1);
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out[i] = tmp[i] * in3[i]; });
+  });
+
+  auto complete = fw.complete_fusion(
+      {ext::codeplay::experimental::property::no_barriers{}});
+
+  assert(!fw.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  complete.wait();
+  assert(isEventComplete(complete) && "Event should be complete");
+
+  // Need to wait for the event 'kernel1' here, as it is the event associated
+  // with the placeholder, which depends on 'complete', but is a separate event.
+  kernel1.wait();
+  assert(isEventComplete(kernel1) && "Event should be complete");
+
+  // 'kernel2' is the same event (associated with the placeholder) as 'kernel1',
+  // so no need to wait again.
+  assert(isEventComplete(kernel2) && "Event should be complete");
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  sycl::free(in1, q);
+  sycl::free(in2, q);
+  sycl::free(in3, q);
+  sycl::free(tmp, q);
+  sycl::free(out, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/internalize_array_wrapper.cpp b/sycl/test-e2e/KernelFusion/internalize_array_wrapper.cpp
new file mode 100644
index 0000000000000..ba155e0e5ffac
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/internalize_array_wrapper.cpp
@@ -0,0 +1,139 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test internalization of a nested array type.
+
+#include <array>
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <size_t N, size_t M> struct array_wrapper {
+  static constexpr size_t rows{N};
+  static constexpr size_t columns{M};
+  static constexpr size_t vec_width{2};
+
+  using value_type = vec<int, vec_width>;
+  using reference_type = value_type &;
+  using const_reference_type = const value_type &;
+
+  std::array<std::array<value_type, columns>, rows> vs;
+
+  explicit array_wrapper(const_reference_type v) {
+    std::array<value_type, columns> el;
+    el.fill(v);
+    vs.fill(el);
+  }
+
+  array_wrapper() : array_wrapper{value_type{}} {}
+
+  constexpr std::array<value_type, columns> &operator[](size_t i) {
+    return vs[i];
+  }
+
+  constexpr const std::array<value_type, columns> &operator[](size_t i) const {
+    return vs[i];
+  }
+};
+
+int main() {
+  constexpr size_t dataSize = 2;
+  constexpr size_t rows = 2;
+  constexpr size_t columns = 2;
+
+  using array_type = array_wrapper<rows, columns>;
+
+  array_type in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize],
+      out[dataSize];
+
+  for (size_t id = 0; id < dataSize; ++id) {
+    for (size_t i = 0; i < rows; ++i) {
+      for (size_t j = 0; j < columns; ++j) {
+        in1[id][i][j].s0() = in1[id][i][j].s1() = id * 2;
+        in2[id][i][j].s0() = in2[id][i][j].s1() = id * 3;
+        in3[id][i][j].s0() = in3[id][i][j].s1() = id * 4;
+        tmp[id][i][j].s0() = tmp[id][i][j].s1() = -1;
+        out[id][i][j].s0() = out[id][i][j].s1() = -1;
+      }
+    }
+  }
+
+  queue q{default_selector_v,
+          {ext::codeplay::experimental::property::queue::enable_fusion{}}};
+
+  {
+    buffer<array_type> bIn1{in1, range{dataSize}};
+    buffer<array_type> bIn2{in2, range{dataSize}};
+    buffer<array_type> bIn3{in3, range{dataSize}};
+    buffer<array_type> bTmp{tmp, range{dataSize}};
+    buffer<array_type> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(dataSize, [=](id<1> id) {
+        const auto &accIn1Wrapp = accIn1[id];
+        const auto &accIn2Wrapp = accIn2[id];
+        auto &accTmpWrapp = accTmp[id];
+        for (size_t i = 0; i < dataSize; ++i) {
+          const auto &in1 = accIn1Wrapp[i];
+          const auto &in2 = accIn2Wrapp[i];
+          auto &tmp = accTmpWrapp[i];
+          for (size_t j = 0; j < columns; ++j) {
+            tmp[j] = in1[j] + in2[j];
+          }
+        }
+      });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(dataSize, [=](id<1> id) {
+        const auto &tmpWrapp = accTmp[id];
+        const auto &accIn3Wrapp = accIn3[id];
+        auto &accOutWrapp = accOut[id];
+        for (size_t i = 0; i < dataSize; ++i) {
+          const auto &tmp = tmpWrapp[i];
+          const auto &in3 = accIn3Wrapp[i];
+          auto &out = accOutWrapp[i];
+          for (size_t j = 0; j < columns; ++j) {
+            out[j] = tmp[j] * in3[j];
+          }
+        }
+      });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  constexpr array_type::value_type not_written{-1, -1};
+  for (size_t id = 0; id < dataSize; ++id) {
+    const array_type::value_type expected{20 * id * id, 20 * id * id};
+    for (size_t i = 0; i < rows; ++i) {
+      for (size_t j = 0; j < columns; ++j) {
+        assert(all(out[id][i][j] == expected) && "Computation error");
+        assert(all(tmp[id][i][j] == not_written) && "Not internalizing");
+      }
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/internalize_deep.cpp b/sycl/test-e2e/KernelFusion/internalize_deep.cpp
new file mode 100644
index 0000000000000..4a0c32e2683b6
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/internalize_deep.cpp
@@ -0,0 +1,106 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with internalization of a deep struct type.
+
+#include <type_traits>
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+struct deep_vec {
+  using value_type = vec<int, 4>;
+  struct level_0 {
+    struct level_1 {
+      struct level_2 {
+        deep_vec::value_type v;
+
+        constexpr level_2() = default;
+        constexpr explicit level_2(const deep_vec::value_type &v) : v{v} {}
+      } v;
+      constexpr level_1() = default;
+      constexpr explicit level_1(const deep_vec::value_type &v) : v{v} {}
+    } v;
+
+    constexpr level_0() = default;
+    constexpr explicit level_0(const deep_vec::value_type &v) : v{v} {}
+  } v;
+
+  constexpr deep_vec() = default;
+  constexpr explicit deep_vec(const value_type &v) : v{v} {}
+
+  constexpr value_type &operator*() { return v.v.v.v; }
+  constexpr value_type *operator->() { return &this->operator*(); }
+};
+
+deep_vec operator+(deep_vec lhs, deep_vec rhs) { return deep_vec{*lhs + *rhs}; }
+deep_vec operator*(deep_vec lhs, deep_vec rhs) { return deep_vec{*lhs * *rhs}; }
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  deep_vec in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize],
+      out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i]->s0() = in1[i]->s1() = in1[i]->s2() = in1[i]->s3() = i * 2;
+    in2[i]->s0() = in2[i]->s1() = in2[i]->s2() = in2[i]->s3() = i * 3;
+    in3[i]->s0() = in3[i]->s1() = in3[i]->s2() = in3[i]->s3() = i * 4;
+    tmp[i]->s0() = tmp[i]->s1() = tmp[i]->s2() = tmp[i]->s3() = -1;
+    out[i]->s0() = out[i]->s1() = out[i]->s2() = out[i]->s3() = -1;
+  }
+
+  queue q{default_selector_v,
+          {ext::codeplay::experimental::property::queue::enable_fusion{}}};
+
+  {
+    buffer<deep_vec> bIn1{in1, range{dataSize}};
+    buffer<deep_vec> bIn2{in2, range{dataSize}};
+    buffer<deep_vec> bIn3{in3, range{dataSize}};
+    buffer<deep_vec> bTmp{tmp, range{dataSize}};
+    buffer<deep_vec> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  constexpr deep_vec::value_type not_written{-1, -1, -1, -1};
+  for (size_t i = 0; i < dataSize; ++i) {
+    const deep_vec::value_type expected{20 * i * i, 20 * i * i, 20 * i * i,
+                                        20 * i * i};
+    assert(all(*out[i] == expected) && "Computation error");
+    assert(all(*tmp[i] == not_written) && "Not internalizing");
+  };
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/internalize_multi_ptr.cpp b/sycl/test-e2e/KernelFusion/internalize_multi_ptr.cpp
new file mode 100644
index 0000000000000..9455cad86900a
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/internalize_multi_ptr.cpp
@@ -0,0 +1,81 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// accessors for a device kernel using multi_ptr to global address space.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(dataSize, [=](id<1> i) {
+        size_t offset = i;
+        decorated_global_ptr<int> in1Ptr{accIn1};
+        decorated_global_ptr<int> in2Ptr{accIn2};
+        decorated_global_ptr<int> tmpPtr{accTmp};
+        tmpPtr[offset] = in1Ptr[offset] + in2Ptr[offset];
+      });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(dataSize, [=](id<1> i) {
+        size_t offset = i;
+        decorated_global_ptr<int> in3Ptr{accIn3};
+        decorated_global_ptr<int> tmpPtr{accTmp};
+        decorated_global_ptr<int> outPtr{accOut};
+        outPtr[offset] = in3Ptr[offset] * tmpPtr[offset];
+      });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/internalize_vec.cpp b/sycl/test-e2e/KernelFusion/internalize_vec.cpp
new file mode 100644
index 0000000000000..765036ec98d9c
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/internalize_vec.cpp
@@ -0,0 +1,75 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with internalization of a struct type.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  vec<int, 4> in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize],
+      out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i].s0() = in1[i].s1() = in1[i].s2() = in1[i].s3() = i * 2;
+    in2[i].s0() = in2[i].s1() = in2[i].s2() = in2[i].s3() = i * 3;
+    in3[i].s0() = in3[i].s1() = in3[i].s2() = in3[i].s3() = i * 4;
+    tmp[i].s0() = tmp[i].s1() = tmp[i].s2() = tmp[i].s3() = -1;
+    out[i].s0() = out[i].s1() = out[i].s2() = out[i].s3() = -1;
+  }
+
+  queue q{default_selector_v,
+          {ext::codeplay::experimental::property::queue::enable_fusion{}}};
+
+  {
+    buffer<vec<int, 4>> bIn1{in1, range{dataSize}};
+    buffer<vec<int, 4>> bIn2{in2, range{dataSize}};
+    buffer<vec<int, 4>> bIn3{in3, range{dataSize}};
+    buffer<vec<int, 4>> bTmp{tmp, range{dataSize}};
+    buffer<vec<int, 4>> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  constexpr vec<int, 4> not_written{-1, -1, -1, -1};
+  for (size_t i = 0; i < dataSize; ++i) {
+    const vec<int, 4> expected{20 * i * i, 20 * i * i, 20 * i * i, 20 * i * i};
+    assert(all(out[i] == expected) && "Computation error");
+    assert(all(tmp[i] == not_written) && "Not internalizing");
+  };
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/internalize_vfunc.cpp b/sycl/test-e2e/KernelFusion/internalize_vfunc.cpp
new file mode 100644
index 0000000000000..bf8f177a24904
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/internalize_vfunc.cpp
@@ -0,0 +1,88 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// accessors for a device kernel with sycl::vec::load and sycl::vec::store.
+
+#define VEC 4
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t numVec = 512;
+  constexpr size_t dataSize = numVec * VEC;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(numVec, [=](id<1> i) {
+        size_t offset = i;
+        vec<int, VEC> in1;
+        in1.load(offset, accIn1.get_pointer());
+        vec<int, VEC> in2;
+        in2.load(offset, accIn2.get_pointer());
+        auto tmp = in1 + in2;
+        tmp.store(offset, accTmp.get_pointer());
+      });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(numVec, [=](id<1> i) {
+        size_t offset = i;
+        vec<int, VEC> tmp;
+        tmp.load(offset, accTmp.get_pointer());
+        vec<int, VEC> in3;
+        in3.load(offset, accIn3.get_pointer());
+        auto out = tmp * in3;
+        out.store(offset, accOut.get_pointer());
+      });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/jit_caching.cpp b/sycl/test-e2e/KernelFusion/jit_caching.cpp
new file mode 100644
index 0000000000000..617b81bb4b48c
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/jit_caching.cpp
@@ -0,0 +1,142 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER --implicit-check-not "COMPUTATION ERROR" --implicit-check-not "WRONG INTERNALIZATION"
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER --implicit-check-not "COMPUTATION ERROR" --implicit-check-not "WRONG INTERNALIZATION"
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test caching for JIT fused kernels. Also test for debug messages being
+// printed when SYCL_RT_WARNING_LEVEL=1.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t dataSize = 512;
+
+enum class Internalization { None, Local, Private };
+
+void performFusion(queue &q, Internalization internalize, range<1> globalSize,
+                   int beta, int gamma, bool insertBarriers = false) {
+  int alpha = 1;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+  {
+    buffer<int> bIn1{in1, globalSize};
+    buffer<int> bIn2{in2, globalSize};
+    buffer<int> bIn3{in3, globalSize};
+    buffer<int> bTmp{tmp, globalSize};
+    buffer<int> bOut{out, globalSize};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      property_list properties{};
+      if (internalize == Internalization::Private) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_private{}};
+      } else if (internalize == Internalization::Local) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_local{}};
+      }
+      accessor<int> accTmp = bTmp.get_access(cgh, properties);
+      cgh.parallel_for<class KernelOne>(globalSize, [=](id<1> i) {
+        accTmp[i] = accIn1[i] + accIn2[i] * alpha;
+      });
+    });
+
+    q.submit([&](handler &cgh) {
+      property_list properties{};
+      if (internalize == Internalization::Private) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_private{}};
+      } else if (internalize == Internalization::Local) {
+        properties = {
+            sycl::ext::codeplay::experimental::property::promote_local{}};
+      }
+      accessor<int> accTmp = bTmp.get_access(cgh, properties);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(globalSize, [=](id<1> i) {
+        accOut[i] = accTmp[i] * accIn3[i] * beta * gamma;
+      });
+    });
+
+    if (insertBarriers) {
+      fw.complete_fusion();
+    } else {
+      fw.complete_fusion(
+          {ext::codeplay::experimental::property::no_barriers{}});
+    }
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  size_t numErrors = 0;
+  size_t numInternalized = 0;
+  for (size_t i = 0; i < dataSize; ++i) {
+    if (i < globalSize.size() && out[i] != (20 * i * i * beta * gamma)) {
+      ++numErrors;
+    }
+    if (tmp[i] == -1) {
+      ++numInternalized;
+    }
+  }
+  if (numErrors) {
+    std::cout << "COMPUTATION ERROR\n";
+  }
+  if ((internalize == Internalization::None) && numInternalized) {
+    std::cout << "WRONG INTERNALIZATION\n";
+  }
+}
+
+int main() {
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  // Initial invocation
+  performFusion(q, Internalization::Private, range<1>{dataSize}, 1, 1);
+  // CHECK: JIT DEBUG: Compiling new kernel, no suitable cached kernel found
+
+  // Identical invocation, should lead to JIT cache hit.
+  performFusion(q, Internalization::Private, range<1>{dataSize}, 1, 1);
+  // CHECK-NEXT: JIT DEBUG: Re-using cached JIT kernel
+  // CHECK-NEXT: INFO: Re-using existing device binary for fused kernel
+
+  // Invocation with a different beta. Because beta was identical to alpha so
+  // far, this should lead to a cache miss.
+  performFusion(q, Internalization::Private, range<1>{dataSize}, 2, 1);
+  // CHECK-NEXT: JIT DEBUG: Compiling new kernel, no suitable cached kernel found
+
+  // Invocation with barrier insertion should lead to a cache miss.
+  performFusion(q, Internalization::Private, range<1>{dataSize}, 1, 1,
+                /* insertBarriers */ true);
+  // CHECK-NEXT: JIT DEBUG: Compiling new kernel, no suitable cached kernel found
+
+  // Invocation with different internalization target should lead to a cache
+  // miss.
+  performFusion(q, Internalization::None, range<1>{dataSize}, 1, 1);
+  // CHECK-NEXT: JIT DEBUG: Compiling new kernel, no suitable cached kernel found
+
+  // Invocation with a different gamma should lead to a cache miss because gamma
+  // participates in constant propagation.
+  performFusion(q, Internalization::Private, range<1>{dataSize}, 1, 2);
+  // CHECK-NEXT: JIT DEBUG: Compiling new kernel, no suitable cached kernel found
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/local_internalization.cpp b/sycl/test-e2e/KernelFusion/local_internalization.cpp
new file mode 100644
index 0000000000000..b60bd29df394c
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/local_internalization.cpp
@@ -0,0 +1,73 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with local internalization specified on the
+// accessors.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_local{});
+      cgh.parallel_for<class KernelOne>(
+          nd_range<1>{{dataSize}, {16}},
+          [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_local{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          nd_range<1>{{dataSize}, {16}},
+          [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/non_unit_local_size.cpp b/sycl/test-e2e/KernelFusion/non_unit_local_size.cpp
new file mode 100644
index 0000000000000..917eda6e090c7
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/non_unit_local_size.cpp
@@ -0,0 +1,82 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with local internalization specified on the
+// accessors, where each work-item processes multiple data-items.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_local{});
+      cgh.parallel_for<class KernelOne>(
+          nd_range<1>{{128}, {8}}, [=](item<1> i) {
+            auto baseOffset = i.get_linear_id() * 4;
+            for (size_t j = 0; j < 4; ++j) {
+              accTmp[baseOffset + j] =
+                  accIn1[baseOffset + j] + accIn2[baseOffset + j];
+            }
+          });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_local{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          nd_range<1>{{128}, {8}}, [=](item<1> i) {
+            auto baseOffset = i.get_linear_id() * 4;
+            for (size_t j = 0; j < 4; ++j) {
+              accOut[baseOffset + j] =
+                  accTmp[baseOffset + j] * accIn3[baseOffset + j];
+            }
+          });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/pointer_arg_function.cpp b/sycl/test-e2e/KernelFusion/pointer_arg_function.cpp
new file mode 100644
index 0000000000000..ffe5178cdaa9c
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/pointer_arg_function.cpp
@@ -0,0 +1,82 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+// This test currently fails because InferAddressSpace is not able to remove all
+// address-space casts, causing internalization to fail.
+// XFAIL: *
+
+// Test complete fusion with private internalization specified on the
+// accessors, calling a function with a raw pointer taken from an accessor in
+// one of the kernels.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void __attribute__((noinline))
+addFunc(int *in1, int *in2, int *out, size_t linearID) {
+  out[linearID] = in1[linearID] + in2[linearID];
+}
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(dataSize, [=](item<1> i) {
+        addFunc(accIn1.get_pointer(), accIn2.get_pointer(),
+                accTmp.get_pointer(), i.get_linear_id());
+      });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/private_internalization.cpp b/sycl/test-e2e/KernelFusion/private_internalization.cpp
new file mode 100644
index 0000000000000..bf7490e5cabab
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/private_internalization.cpp
@@ -0,0 +1,71 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// accessors.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/ranged_offset_accessor.cpp b/sycl/test-e2e/KernelFusion/ranged_offset_accessor.cpp
new file mode 100644
index 0000000000000..7325b26925349
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/ranged_offset_accessor.cpp
@@ -0,0 +1,80 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization on accessors with different
+// offset and range.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize * 5], in2[dataSize * 5], in3[dataSize * 5],
+      tmp[dataSize * 5], out[dataSize * 5];
+
+  size_t offsetIn1 = 0;
+  size_t offsetIn2 = 512;
+  size_t offsetIn3 = 1024;
+  size_t offsetTmp = 1536;
+  size_t offsetOut = 2048;
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[offsetIn1 + i] = i * 2;
+    in2[offsetIn2 + i] = i * 3;
+    in3[offsetIn3 + i] = i * 4;
+    tmp[offsetTmp + i] = -1;
+    out[offsetOut + i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize * 5}};
+    buffer<int> bIn2{in2, range{dataSize * 5}};
+    buffer<int> bIn3{in3, range{dataSize * 5}};
+    buffer<int> bTmp{tmp, range{dataSize * 5}};
+    buffer<int> bOut{out, range{dataSize * 5}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh, range{516}, id{offsetIn1});
+      auto accIn2 = bIn2.get_access(cgh, range{513}, id{offsetIn2});
+      auto accTmp = bTmp.get_access(
+          cgh, range{514}, id{offsetTmp},
+          sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, range{514}, id{offsetTmp},
+          sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh, range{515}, id{offsetIn3});
+      auto accOut = bOut.get_access(cgh, range{512}, id{offsetOut});
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[offsetOut + i] == (20 * i * i) && "Computation error");
+    assert(tmp[offsetTmp + i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/struct_with_array.cpp b/sycl/test-e2e/KernelFusion/struct_with_array.cpp
new file mode 100644
index 0000000000000..20d25a0d38f50
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/struct_with_array.cpp
@@ -0,0 +1,82 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization on a kernel functor with an
+// array member.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+struct KernelTwo {
+  accessor<int> buf;
+  accessor<int> out;
+  int coef[10] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
+  KernelTwo(accessor<int> buf, accessor<int> out) : buf{buf}, out{out} {}
+
+  void operator()(nd_item<1> i) const {
+    out[i.get_global_linear_id()] =
+        buf[i.get_global_linear_id()] * coef[i.get_local_linear_id()];
+  }
+};
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          nd_range<1>{{dataSize}, {8}},
+          [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for(nd_range<1>{{dataSize}, {8}}, KernelTwo{accTmp, accOut});
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (5 * i * (i % 8)) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/sync_acc_mem_op.cpp b/sycl/test-e2e/KernelFusion/sync_acc_mem_op.cpp
new file mode 100644
index 0000000000000..14643a3d81179
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_acc_mem_op.cpp
@@ -0,0 +1,84 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on an explicit memory operation on an accessor
+// happening before complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+  int dst[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+    dst[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    // This explicit copy operation has an overlapping requirement with one of
+    // the kernels and therefore requires synchronization. This should lead to
+    // cancellation of the fusion.
+    auto copyEvt = q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.copy(accTmp, dst);
+    });
+
+    copyEvt.wait();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(dst[i] == (5 * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_buffer_destruction.cpp b/sycl/test-e2e/KernelFusion/sync_buffer_destruction.cpp
new file mode 100644
index 0000000000000..627a8cdbfe43d
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_buffer_destruction.cpp
@@ -0,0 +1,76 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on buffer destruction happening before
+// complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    {
+      buffer<int> bIn3{in3, range{dataSize}};
+
+      fw.start_fusion();
+
+      assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+      q.submit([&](handler &cgh) {
+        auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+        auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+        auto accTmp = bTmp.get_access(cgh);
+        cgh.parallel_for<class KernelOne>(
+            dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+      });
+
+      q.submit([&](handler &cgh) {
+        auto accTmp = bTmp.get_access(cgh);
+        auto accIn3 = bIn3.get_access(cgh);
+        auto accOut = bOut.get_access(cgh);
+        cgh.parallel_for<class KernelTwo>(
+            dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+      });
+      // Buffer bIn3, which is accessed by one of the kernels in the fusion list
+      // goes out scope, causing a blocking wait for one of the kernels in the
+      // fusion list. This should lead to cancellation of the fusion.
+    }
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_event_wait.cpp b/sycl/test-e2e/KernelFusion/sync_event_wait.cpp
new file mode 100644
index 0000000000000..d34393638e9b4
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_event_wait.cpp
@@ -0,0 +1,75 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on event::wait() happening before
+// complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    auto kernel1Ev = q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    // This event::wait() causes a blocking wait for one of the kernels in the
+    // fusion list. This should lead to cancellation of the fusion.
+    kernel1Ev.wait();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_host_accessor.cpp b/sycl/test-e2e/KernelFusion/sync_host_accessor.cpp
new file mode 100644
index 0000000000000..854803f34716d
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_host_accessor.cpp
@@ -0,0 +1,77 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on host accessor creation happening before
+// complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    // This host accessor requests access to bIn3, which is accessed by one of
+    // the kernels in the fusion list. This causes a blocking wait for one of
+    // the kernels in the fusion list. This should lead to cancellation of the
+    // fusion.
+    auto hostAcc = bIn3.get_access<access::mode::read>();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_host_task.cpp b/sycl/test-e2e/KernelFusion/sync_host_task.cpp
new file mode 100644
index 0000000000000..fc94fa9b3d9dc
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_host_task.cpp
@@ -0,0 +1,84 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on host task submission happening before
+// complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    // This host task requests access to bOut, which is accessed by one of
+    // the kernels in the fusion list, creating a requirement for one of the
+    // kernels in the fusion list. This should lead to cancellation of the
+    // fusion.
+    q.submit([&](handler &cgh) {
+      auto accOut = bOut.get_access(cgh);
+      cgh.host_task([=]() { accOut[256] = 42; });
+    });
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    if (i == 256) {
+      assert(out[i] == 42 && "Computation error");
+    } else {
+      assert(out[i] == (20 * i * i) && "Computation error");
+    }
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_queue_destruction.cpp b/sycl/test-e2e/KernelFusion/sync_queue_destruction.cpp
new file mode 100644
index 0000000000000..145fde97b5012
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_queue_destruction.cpp
@@ -0,0 +1,71 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on queue destruction happening before
+// complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+
+    {
+      queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+      ext::codeplay::experimental::fusion_wrapper fw{q};
+      fw.start_fusion();
+
+      assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+      q.submit([&](handler &cgh) {
+        auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+        auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+        auto accTmp = bTmp.get_access(cgh);
+        cgh.parallel_for<class KernelOne>(
+            dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+      });
+
+      q.submit([&](handler &cgh) {
+        auto accTmp = bTmp.get_access(cgh);
+        auto accIn3 = bIn3.get_access(cgh);
+        auto accOut = bOut.get_access(cgh);
+        cgh.parallel_for<class KernelTwo>(
+            dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+      });
+      // Queue q, which is still in fusion mode and to which all kernels have
+      // been submitted, goes out-of-scope here. This should lead to
+      // cancellation of the fusion.
+    }
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_queue_wait.cpp b/sycl/test-e2e/KernelFusion/sync_queue_wait.cpp
new file mode 100644
index 0000000000000..5fe768d60c551
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_queue_wait.cpp
@@ -0,0 +1,75 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on queue::wait() happening before
+// complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    // This queue.wait() causes a blocking wait for all of the kernels in the
+    // fusion list. This should lead to cancellation of the fusion.
+    q.wait();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_second_queue.cpp b/sycl/test-e2e/KernelFusion/sync_second_queue.cpp
new file mode 100644
index 0000000000000..057c96935361b
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_second_queue.cpp
@@ -0,0 +1,84 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on submission of kernel with requirements to a
+// different queue happening before complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    queue q2{};
+
+    // This kernel in a different queue creates a requirement for buffer bOut,
+    // which is also accessed by one of the kernels in the fusion list. This
+    // should lead to cancellation of the fusion to avoid circular dependencies.
+    q2.submit([&](handler &cgh) {
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class OtherKernel>(
+          dataSize, [=](id<1> i) { accOut[i] = accOut[i] * 2; });
+    });
+
+    q2.wait();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (40 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_two_queues_event_dep.cpp b/sycl/test-e2e/KernelFusion/sync_two_queues_event_dep.cpp
new file mode 100644
index 0000000000000..bb33fcdcb8337
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_two_queues_event_dep.cpp
@@ -0,0 +1,89 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+// For this test, complete_fusion must be supported.
+// REQUIRES: fusion
+
+// Test fusion cancellation on event dependency between two active fusions.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q1{ext::codeplay::experimental::property::queue::enable_fusion{}};
+  queue q2{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  int *in1 = sycl::malloc_shared<int>(dataSize, q1);
+  int *in2 = sycl::malloc_shared<int>(dataSize, q1);
+  int *in3 = sycl::malloc_shared<int>(dataSize, q1);
+  int *tmp = sycl::malloc_shared<int>(dataSize, q1);
+  int *out = sycl::malloc_shared<int>(dataSize, q1);
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw1{q1};
+  fw1.start_fusion();
+
+  assert(fw1.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  auto kernel1 = q1.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp[i] = in1[i] + in2[i]; });
+  });
+
+  ext::codeplay::experimental::fusion_wrapper fw2{q2};
+  fw2.start_fusion();
+
+  auto kernel3 = q2.submit([&](handler &cgh) {
+    cgh.depends_on(kernel1);
+    cgh.parallel_for<class KernelThree>(dataSize,
+                                        [=](id<1> i) { tmp[i] *= 2; });
+  });
+
+  // kernel3 specifies an event dependency on kernel1. To avoid circular
+  // dependencies between two fusions, the fusion for q1 needs to cancelled.
+  assert(!fw1.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  assert(fw2.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  auto kernel2 = q1.submit([&](handler &cgh) {
+    cgh.depends_on(kernel3);
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out[i] = tmp[i] * in3[i]; });
+  });
+
+  // kernel2 specifies an event dependency on kernel3, which leads to
+  // cancellation of the fusion for q2.
+  assert(!fw2.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  fw1.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+  fw2.cancel_fusion();
+
+  q1.wait();
+  q2.wait();
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (40 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because of event dependency from a different fusion
+// CHECK-NEXT: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_two_queues_requirement.cpp b/sycl/test-e2e/KernelFusion/sync_two_queues_requirement.cpp
new file mode 100644
index 0000000000000..3ca9015c7ee22
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_two_queues_requirement.cpp
@@ -0,0 +1,94 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+// For this test, complete_fusion must be supported.
+// REQUIRES: fusion
+
+// Test fusion cancellation for requirement between two active fusions.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q1{ext::codeplay::experimental::property::queue::enable_fusion{}};
+  queue q2{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw1{q1};
+    fw1.start_fusion();
+
+    assert(fw1.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q1.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access<access::mode::read>(cgh);
+      auto accIn2 = bIn2.get_access<access::mode::read>(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          dataSize, [=](id<1> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    ext::codeplay::experimental::fusion_wrapper fw2{q2};
+    fw2.start_fusion();
+
+    q2.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelThree>(dataSize,
+                                          [=](id<1> i) { accTmp[i] *= 2; });
+    });
+
+    assert(fw1.is_in_fusion_mode() && "Queue should be in fusion mode");
+    assert(fw2.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q1.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          dataSize, [=](id<1> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    // KernelTwo specifies a requirement on KernelThree, which had already
+    // specified a requirement on KernelOne. Therefore, a cyclic dependency
+    // between the kernel fused from (KernelOne, KernelTwo) and KernelThree
+    // would arise, so fusion needs to be cancelled for q1/fw1.
+    fw1.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    // As KernelTwo has been enqueued for execution, it's synchronization with
+    // KernelThree leads to the fusion for q2/fw2 to also be cancelled.
+    assert(!fw2.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+
+    fw2.cancel_fusion();
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (40 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because it would create a circular dependency
+// CHECK-NEXT: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/sync_usm_mem_op.cpp b/sycl/test-e2e/KernelFusion/sync_usm_mem_op.cpp
new file mode 100644
index 0000000000000..67af367316fa7
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/sync_usm_mem_op.cpp
@@ -0,0 +1,79 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %CPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_RT_WARNING_LEVEL=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1\
+// RUN: %GPU_CHECK_PLACEHOLDER
+// UNSUPPORTED: cuda || hip
+
+// Test fusion cancellation on an explicit memory operation on an USM pointer
+// happening before complete_fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  int *in1 = sycl::malloc_shared<int>(dataSize, q);
+  int *in2 = sycl::malloc_shared<int>(dataSize, q);
+  int *in3 = sycl::malloc_shared<int>(dataSize, q);
+  int *tmp = sycl::malloc_shared<int>(dataSize, q);
+  int *out = sycl::malloc_shared<int>(dataSize, q);
+  int dst[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+    dst[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw{q};
+  fw.start_fusion();
+
+  assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  auto kernel1 = q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp[i] = in1[i] + in2[i]; });
+  });
+
+  auto kernel2 = q.submit([&](handler &cgh) {
+    cgh.depends_on(kernel1);
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out[i] = tmp[i] * in3[i]; });
+  });
+
+  // This explicit copy operation has an explicit dependency on one of the
+  // kernels and therefore requires synchronization. This should lead to
+  // cancellation of the fusion.
+  auto copyEvt = q.copy(tmp, dst, dataSize, kernel1);
+
+  copyEvt.wait();
+
+  assert(!fw.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(dst[i] == (5 * i) && "Computation error");
+  }
+
+  sycl::free(in1, q);
+  sycl::free(in2, q);
+  sycl::free(in3, q);
+  sycl::free(tmp, q);
+  sycl::free(out, q);
+
+  return 0;
+}
+
+// CHECK: WARNING: Aborting fusion because synchronization with one of the kernels in the fusion list was requested
diff --git a/sycl/test-e2e/KernelFusion/three_dimensional.cpp b/sycl/test-e2e/KernelFusion/three_dimensional.cpp
new file mode 100644
index 0000000000000..db0ea25ca3077
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/three_dimensional.cpp
@@ -0,0 +1,75 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// accessors for three-dimensional range.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t sizeX = 16;
+  constexpr size_t sizeY = 8;
+  constexpr size_t sizeZ = 4;
+  constexpr size_t dataSize = sizeX * sizeY * sizeZ;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    range<3> xyRange{sizeZ, sizeY, sizeX};
+    buffer<int, 3> bIn1{in1, xyRange};
+    buffer<int, 3> bIn2{in2, xyRange};
+    buffer<int, 3> bIn3{in3, xyRange};
+    buffer<int, 3> bTmp{tmp, xyRange};
+    buffer<int, 3> bOut{out, xyRange};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          xyRange, [=](id<3> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          xyRange, [=](id<3> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/two_dimensional.cpp b/sycl/test-e2e/KernelFusion/two_dimensional.cpp
new file mode 100644
index 0000000000000..2eafb1c1ccc0a
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/two_dimensional.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with private internalization specified on the
+// accessors for two-dimensional range.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t sizeX = 16;
+  constexpr size_t sizeY = 32;
+  constexpr size_t dataSize = sizeX * sizeY;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    range<2> xyRange{sizeY, sizeX};
+    buffer<int, 2> bIn1{in1, xyRange};
+    buffer<int, 2> bIn2{in2, xyRange};
+    buffer<int, 2> bIn3{in3, xyRange};
+    buffer<int, 2> bTmp{tmp, xyRange};
+    buffer<int, 2> bOut{out, xyRange};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      cgh.parallel_for<class KernelOne>(
+          xyRange, [=](id<2> i) { accTmp[i] = accIn1[i] + accIn2[i]; });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(
+          cgh, sycl::ext::codeplay::experimental::property::promote_private{});
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          xyRange, [=](id<2> i) { accOut[i] = accTmp[i] * accIn3[i]; });
+    });
+
+    fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+    assert(tmp[i] == -1 && "Not internalized");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/usm_no_dependencies.cpp b/sycl/test-e2e/KernelFusion/usm_no_dependencies.cpp
new file mode 100644
index 0000000000000..2f18f758bad76
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/usm_no_dependencies.cpp
@@ -0,0 +1,70 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion using USM pointers.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  if (!q.get_device().has(sycl::aspect::usm_shared_allocations)) {
+    return 0;
+  }
+
+  int *in1 = sycl::malloc_shared<int>(dataSize, q);
+  int *in2 = sycl::malloc_shared<int>(dataSize, q);
+  int *in3 = sycl::malloc_shared<int>(dataSize, q);
+  int *tmp = sycl::malloc_shared<int>(dataSize, q);
+  int *out = sycl::malloc_shared<int>(dataSize, q);
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw{q};
+  fw.start_fusion();
+
+  assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp[i] = in1[i] + in2[i]; });
+  });
+
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out[i] = tmp[i] * in3[i]; });
+  });
+
+  fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+  assert(!fw.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  q.wait();
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  sycl::free(in1, q);
+  sycl::free(in2, q);
+  sycl::free(in3, q);
+  sycl::free(tmp, q);
+  sycl::free(out, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/work_group_barrier.cpp b/sycl/test-e2e/KernelFusion/work_group_barrier.cpp
new file mode 100644
index 0000000000000..7141c37be8987
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/work_group_barrier.cpp
@@ -0,0 +1,79 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion with a combination of kernels that require a work-group
+// barrier to be inserted by fusion.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  constexpr size_t dataSize = 512;
+  int in1[dataSize], in2[dataSize], in3[dataSize], tmp[dataSize], out[dataSize];
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  {
+    buffer<int> bIn1{in1, range{dataSize}};
+    buffer<int> bIn2{in2, range{dataSize}};
+    buffer<int> bIn3{in3, range{dataSize}};
+    buffer<int> bTmp{tmp, range{dataSize}};
+    buffer<int> bOut{out, range{dataSize}};
+
+    ext::codeplay::experimental::fusion_wrapper fw{q};
+    fw.start_fusion();
+
+    assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+    q.submit([&](handler &cgh) {
+      auto accIn1 = bIn1.get_access(cgh);
+      auto accIn2 = bIn2.get_access(cgh);
+      auto accTmp = bTmp.get_access(cgh);
+      cgh.parallel_for<class KernelOne>(
+          nd_range<1>{{dataSize}, {32}}, [=](nd_item<1> i) {
+            auto workgroupSize = i.get_local_range(0);
+            auto baseOffset = i.get_group_linear_id() * workgroupSize;
+            auto localIndex = i.get_local_linear_id();
+            auto localOffset = (workgroupSize - 1) - localIndex;
+            accTmp[baseOffset + localOffset] =
+                accIn1[baseOffset + localOffset] +
+                accIn2[baseOffset + localOffset];
+          });
+    });
+
+    q.submit([&](handler &cgh) {
+      auto accTmp = bTmp.get_access(cgh);
+      auto accIn3 = bIn3.get_access(cgh);
+      auto accOut = bOut.get_access(cgh);
+      cgh.parallel_for<class KernelTwo>(
+          nd_range<1>{{dataSize}, {32}}, [=](nd_item<1> i) {
+            auto index = i.get_global_linear_id();
+            accOut[index] = accTmp[index] * accIn3[index];
+          });
+    });
+
+    fw.complete_fusion();
+
+    assert(!fw.is_in_fusion_mode() &&
+           "Queue should not be in fusion mode anymore");
+  }
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelFusion/wrapped_usm.cpp b/sycl/test-e2e/KernelFusion/wrapped_usm.cpp
new file mode 100644
index 0000000000000..8532a9dadfab8
--- /dev/null
+++ b/sycl/test-e2e/KernelFusion/wrapped_usm.cpp
@@ -0,0 +1,80 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: cuda || hip
+// REQUIRES: fusion
+
+// Test complete fusion using an wrapped USM pointer as kernel functor argument.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T> struct wrapper {
+  T *data;
+
+  wrapper(size_t dataSize, queue &q)
+      : data{sycl::malloc_shared<int>(dataSize, q)} {}
+
+  T &operator[](size_t i) { return data[i]; }
+  const T &operator[](size_t i) const { return data[i]; }
+};
+
+int main() {
+  constexpr size_t dataSize = 512;
+
+  queue q{ext::codeplay::experimental::property::queue::enable_fusion{}};
+
+  if (!q.get_device().has(sycl::aspect::usm_shared_allocations)) {
+    return 0;
+  }
+
+  wrapper<int> in1{dataSize, q};
+  wrapper<int> in2{dataSize, q};
+  wrapper<int> in3{dataSize, q};
+  wrapper<int> tmp{dataSize, q};
+  wrapper<int> out{dataSize, q};
+
+  for (size_t i = 0; i < dataSize; ++i) {
+    in1[i] = i * 2;
+    in2[i] = i * 3;
+    in3[i] = i * 4;
+    tmp[i] = -1;
+    out[i] = -1;
+  }
+
+  ext::codeplay::experimental::fusion_wrapper fw{q};
+  fw.start_fusion();
+
+  assert(fw.is_in_fusion_mode() && "Queue should be in fusion mode");
+
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelOne>(
+        dataSize, [=](id<1> i) { tmp.data[i] = in1.data[i] + in2.data[i]; });
+  });
+
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for<class KernelTwo>(
+        dataSize, [=](id<1> i) { out.data[i] = tmp.data[i] * in3.data[i]; });
+  });
+
+  fw.complete_fusion({ext::codeplay::experimental::property::no_barriers{}});
+
+  assert(!fw.is_in_fusion_mode() &&
+         "Queue should not be in fusion mode anymore");
+
+  q.wait();
+
+  // Check the results
+  for (size_t i = 0; i < dataSize; ++i) {
+    assert(out[i] == (20 * i * i) && "Computation error");
+  }
+
+  sycl::free(in1.data, q);
+  sycl::free(in2.data, q);
+  sycl::free(in3.data, q);
+  sycl::free(tmp.data, q);
+  sycl::free(out.data, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelParams/array-kernel-param-nested-run.cpp b/sycl/test-e2e/KernelParams/array-kernel-param-nested-run.cpp
new file mode 100644
index 0000000000000..25f67077e640b
--- /dev/null
+++ b/sycl/test-e2e/KernelParams/array-kernel-param-nested-run.cpp
@@ -0,0 +1,169 @@
+// This test checks kernel execution with array parameters inside structs.
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t c_num_items = 10;
+range<1> num_items{c_num_items}; // range<1>(num_items)
+
+// Change if tests are added/removed
+static int testCount = 2;
+static int passCount;
+
+template <typename T>
+static bool verify_1D(const char *name, int X, T A, T A_ref) {
+  int ErrCnt = 0;
+
+  for (int i = 0; i < X; i++) {
+    if (A_ref[i] != A[i]) {
+      if (++ErrCnt < 10) {
+        std::cout << name << " mismatch at " << i << ". Expected " << A_ref[i]
+                  << " result is " << A[i] << "\n";
+      }
+    }
+  }
+
+  if (ErrCnt == 0) {
+    return true;
+  }
+  std::cout << "  Failed. Failure rate: " << ErrCnt << "/" << X << "("
+            << ErrCnt / (float)X * 100.f << "%)\n";
+  return false;
+}
+
+template <typename T> void init(T &A, int value, int increment) {
+  for (int i = 0; i < c_num_items; i++) {
+    A[i] = value;
+    value += increment;
+  }
+}
+
+bool test_accessor_array_in_struct(queue &myQueue) {
+  std::array<int, c_num_items> input1;
+  std::array<int, c_num_items> input2;
+  std::array<int, c_num_items> output;
+  std::array<int, c_num_items> ref;
+  init(input1, 1, 1);
+  init(input2, 22, 1);
+  init(ref, 35, 2);
+
+  auto in_buffer1 = buffer<int, 1>(input1.data(), num_items);
+  auto in_buffer2 = buffer<int, 1>(input2.data(), num_items);
+  auto out_buffer = buffer<int, 1>(output.data(), num_items);
+
+  myQueue.submit([&](handler &cgh) {
+    using Accessor =
+        accessor<int, 1, access::mode::read_write, access::target::device>;
+
+    struct S {
+      int w;
+      int x;
+      Accessor a[2];
+      int y;
+      int z;
+    } S = {3,
+           3,
+           {in_buffer1.get_access<access::mode::read_write>(cgh),
+            in_buffer2.get_access<access::mode::read_write>(cgh)},
+           7,
+           7};
+    auto output_accessor = out_buffer.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class accessor_array_in_struct>(
+        num_items, [=](sycl::id<1> index) {
+          S.a[0][index]++;
+          S.a[1][index]++;
+          output_accessor[index] = S.a[0][index] + S.a[1][index] + S.x + S.y;
+        });
+  });
+  const auto HostAccessor = out_buffer.get_access<sycl::access::mode::read>();
+
+  return verify_1D("Accessor array in struct", c_num_items, output, ref);
+}
+
+template <typename T> struct S { T a[c_num_items]; };
+bool test_templated_array_in_struct(queue &myQueue) {
+  std::array<int, c_num_items> output;
+  std::array<int, c_num_items> ref;
+  init(ref, 3, 3);
+
+  auto out_buffer = buffer<int, 1>(output.data(), num_items);
+
+  S<int> sint;
+  S<long long> sll;
+  init(sint.a, 1, 1);
+  init(sll.a, 2, 2);
+
+  myQueue.submit([&](handler &cgh) {
+    using Accessor =
+        accessor<int, 1, access::mode::read_write, access::target::device>;
+    auto output_accessor = out_buffer.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class templated_array_in_struct>(
+        num_items, [=](sycl::id<1> index) {
+          output_accessor[index] = sint.a[index] + sll.a[index];
+        });
+  });
+  const auto HostAccessor = out_buffer.get_access<sycl::access::mode::read>();
+
+  return verify_1D("Templated array in struct", c_num_items, output, ref);
+}
+
+bool run_tests() {
+  queue Q([](exception_list L) {
+    for (auto ep : L) {
+      try {
+        std::rethrow_exception(ep);
+      } catch (std::exception &E) {
+        std::cout << "*** std exception caught:\n";
+        std::cout << E.what();
+      } catch (sycl::exception const &E1) {
+        std::cout << "*** SYCL exception caught:\n";
+        std::cout << E1.what();
+      }
+    }
+  });
+
+  passCount = 0;
+  if (test_accessor_array_in_struct(Q)) {
+    ++passCount;
+  }
+  if (test_templated_array_in_struct(Q)) {
+    ++passCount;
+  }
+
+  auto D = Q.get_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << passCount << " of " << testCount << " tests passed on "
+            << devType << "\n";
+
+  return (testCount == passCount);
+}
+
+int main(int argc, char *argv[]) {
+  bool passed = true;
+  default_selector selector{};
+  auto D = selector.select_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << "Running on device " << devType << " ("
+            << D.get_info<sycl::info::device::name>() << ")\n";
+  try {
+    passed &= run_tests();
+  } catch (exception e) {
+    std::cout << e.what();
+  }
+
+  if (!passed) {
+    std::cout << "FAILED\n";
+    return 1;
+  }
+  std::cout << "PASSED\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelParams/array-kernel-param-run.cpp b/sycl/test-e2e/KernelParams/array-kernel-param-run.cpp
new file mode 100644
index 0000000000000..2282abf502852
--- /dev/null
+++ b/sycl/test-e2e/KernelParams/array-kernel-param-run.cpp
@@ -0,0 +1,229 @@
+// This test checks kernel execution with array kernel parameters.
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t c_num_items = 4;
+range<1> num_items{c_num_items}; // range<1>(num_items)
+
+// Change if tests are added/removed
+static int testCount = 4;
+static int passCount;
+
+template <typename T>
+static bool verify_1D(const char *name, int X, T A, T A_ref) {
+  int ErrCnt = 0;
+
+  for (int i = 0; i < X; i++) {
+    if (A_ref[i] != A[i]) {
+      if (++ErrCnt < 10) {
+        std::cout << name << " mismatch at " << i << ". Expected " << A_ref[i]
+                  << " result is " << A[i] << "\n";
+      }
+    }
+  }
+
+  if (ErrCnt == 0) {
+    return true;
+  }
+  std::cout << "  Failed. Failure rate: " << ErrCnt << "/" << X << "("
+            << ErrCnt / (float)X * 100.f << "%)\n";
+  return false;
+}
+
+template <typename T> void init(T &A, int value, int increment) {
+  for (int i = 0; i < c_num_items; i++) {
+    A[i] = value;
+    value += increment;
+  }
+}
+
+bool test_one_array(queue &myQueue) {
+  int input1[c_num_items][c_num_items];
+  int input2[c_num_items][c_num_items][c_num_items];
+  int output[c_num_items];
+  int ref[c_num_items];
+  int value1 = 0;
+  int value2 = 0;
+  int increment = 1;
+  for (int i = 0; i < c_num_items; i++) {
+    for (int j = 0; j < c_num_items; j++) {
+      for (int k = 0; k < c_num_items; k++) {
+        input2[i][j][k] = value1;
+        value1 += increment;
+      }
+      input1[i][j] = value2;
+      value2 += increment;
+    }
+  }
+  init(output, 511, 1);
+  init(ref, 37, 2);
+
+  auto out_buffer = buffer<int, 1>(&output[0], num_items);
+
+  myQueue.submit([&](handler &cgh) {
+    auto output_accessor = out_buffer.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class one_array>(num_items, [=](sycl::id<1> index) {
+      output_accessor[index] = input1[0][index] + input2[2][1][index] + 1;
+    });
+  });
+  const auto HostAccessor = out_buffer.get_access<sycl::access::mode::read>();
+
+  return verify_1D<int *>("One array", c_num_items, output, ref);
+}
+
+bool test_two_arrays(queue &myQueue) {
+  int input1[c_num_items];
+  int input2[c_num_items];
+  int output[c_num_items];
+  int ref[c_num_items];
+  init(input1, 1, 1);
+  init(input2, 22, 1);
+  init(ref, 23, 2);
+
+  auto out_buffer = buffer<int, 1>(&output[0], num_items);
+
+  myQueue.submit([&](handler &cgh) {
+    auto output_accessor = out_buffer.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class two_arrays>(num_items, [=](sycl::id<1> index) {
+      output_accessor[index] = input1[index] + input2[index];
+    });
+  });
+  const auto HostAccessor = out_buffer.get_access<sycl::access::mode::read>();
+
+  return verify_1D<int *>("Two arrays", c_num_items, output, ref);
+}
+
+bool test_accessor_arrays_1(queue &myQueue) {
+  std::array<int, c_num_items> input1;
+  std::array<int, c_num_items> input2;
+  int input3[c_num_items];
+  int input4[c_num_items];
+  std::array<int, c_num_items> ref;
+  init(input1, 1, 1);
+  init(input2, 22, 1);
+  init(input3, 5, 1);
+  init(input4, -7, 1);
+  init(ref, 22, 3);
+
+  auto in_buffer1 = buffer<int, 1>(input1.data(), num_items);
+  auto in_buffer2 = buffer<int, 1>(input2.data(), num_items);
+
+  myQueue.submit([&](handler &cgh) {
+    using Accessor =
+        accessor<int, 1, access::mode::read_write, access::target::device>;
+    Accessor a[2] = {
+        in_buffer1.get_access<access::mode::read_write>(cgh),
+        in_buffer2.get_access<access::mode::read_write>(cgh),
+    };
+
+    cgh.parallel_for<class accessor_arrays_1>(
+        num_items, [=](sycl::id<1> index) {
+          a[0][index] = a[1][index] + input3[index] + input4[index] + 2;
+        });
+  });
+  const auto HostAccessor = in_buffer1.get_access<sycl::access::mode::read>();
+
+  return verify_1D<std::array<int, c_num_items>>("Accessor arrays 1",
+                                                 c_num_items, input1, ref);
+}
+
+bool test_accessor_arrays_2(queue &myQueue) {
+  std::array<int, c_num_items> input1;
+  std::array<int, c_num_items> input2;
+  std::array<int, c_num_items> output;
+  std::array<int, c_num_items> ref;
+  init(input1, 1, 1);
+  init(input2, 22, 1);
+  init(ref, 23, 2);
+
+  auto in_buffer1 = buffer<int, 1>(input1.data(), num_items);
+  auto in_buffer2 = buffer<int, 1>(input2.data(), num_items);
+  auto out_buffer = buffer<int, 1>(output.data(), num_items);
+
+  myQueue.submit([&](handler &cgh) {
+    using Accessor =
+        accessor<int, 1, access::mode::read_write, access::target::device>;
+    Accessor a[4] = {in_buffer1.get_access<access::mode::read_write>(cgh),
+                     in_buffer2.get_access<access::mode::read_write>(cgh),
+                     in_buffer1.get_access<access::mode::read_write>(cgh),
+                     in_buffer2.get_access<access::mode::read_write>(cgh)};
+    auto output_accessor = out_buffer.get_access<access::mode::write>(cgh);
+
+    cgh.parallel_for<class accessor_arrays_2>(
+        num_items, [=](sycl::id<1> index) {
+          output_accessor[index] = a[0][index] + a[3][index];
+        });
+  });
+  const auto HostAccessor = out_buffer.get_access<sycl::access::mode::read>();
+
+  return verify_1D<std::array<int, c_num_items>>("Accessor arrays 2",
+                                                 c_num_items, output, ref);
+}
+
+bool run_tests() {
+  queue Q([](exception_list L) {
+    for (auto ep : L) {
+      try {
+        std::rethrow_exception(ep);
+      } catch (std::exception &E) {
+        std::cout << "*** std exception caught:\n";
+        std::cout << E.what();
+      } catch (sycl::exception const &E1) {
+        std::cout << "*** SYCL exception caught:\n";
+        std::cout << E1.what();
+      }
+    }
+  });
+
+  passCount = 0;
+  if (test_one_array(Q)) {
+    ++passCount;
+  }
+  if (test_two_arrays(Q)) {
+    ++passCount;
+  }
+  if (test_accessor_arrays_1(Q)) {
+    ++passCount;
+  }
+  if (test_accessor_arrays_2(Q)) {
+    ++passCount;
+  }
+
+  auto D = Q.get_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << passCount << " of " << testCount << " tests passed on "
+            << devType << "\n";
+
+  return (testCount == passCount);
+}
+
+int main(int argc, char *argv[]) {
+  bool passed = true;
+  default_selector selector{};
+  auto D = selector.select_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::cout << "Running on device " << devType << " ("
+            << D.get_info<sycl::info::device::name>() << ")\n";
+  try {
+    passed &= run_tests();
+  } catch (exception e) {
+    std::cout << e.what();
+  }
+
+  if (!passed) {
+    std::cout << "FAILED\n";
+    return 1;
+  }
+  std::cout << "PASSED\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/KernelParams/non-standard-layout.cpp b/sycl/test-e2e/KernelParams/non-standard-layout.cpp
new file mode 100644
index 0000000000000..e1e78b3aa9bbe
--- /dev/null
+++ b/sycl/test-e2e/KernelParams/non-standard-layout.cpp
@@ -0,0 +1,44 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+struct F1 {};
+struct F2 {};
+struct F : F1, F2 {
+  char x;
+};
+
+bool test0() {
+  F S;
+  S.x = 0;
+  F S0;
+  S0.x = 1;
+  {
+    buffer<F, 1> Buf(&S0, range<1>(1));
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      auto B = Buf.get_access<access::mode::write>(cgh);
+      cgh.single_task<class NonStandard>([=] { B[0] = S; });
+    });
+  }
+  bool Passed = (S.x == S0.x);
+
+  if (!Passed) {
+    std::cout << "test0 failed" << std::endl;
+  }
+  return Passed;
+}
+
+int main() {
+
+  bool Pass = test0();
+
+  std::cout << "Test " << (Pass ? "passed" : "FAILED") << std::endl;
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/KernelParams/struct_kernel_param.cpp b/sycl/test-e2e/KernelParams/struct_kernel_param.cpp
new file mode 100644
index 0000000000000..04d553ec35b7e
--- /dev/null
+++ b/sycl/test-e2e/KernelParams/struct_kernel_param.cpp
@@ -0,0 +1,136 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==-struct_kernel_param.cpp-Checks passing structs as kernel params--------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <algorithm>
+#include <cstring>
+#include <iostream>
+#include <iterator>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+struct MyNestedStruct {
+  bool operator==(const MyNestedStruct &Rhs) {
+    return (FldArr[0] == Rhs.FldArr[0] && FldFloat == Rhs.FldFloat);
+  }
+  char FldArr[1];
+  float FldFloat;
+};
+
+struct MyStruct {
+  bool operator==(const MyStruct &Rhs) {
+    return (FldChar == Rhs.FldChar && FldLongLong == Rhs.FldLongLong &&
+            FldShort == Rhs.FldShort && FldUint == Rhs.FldUint &&
+            FldStruct == Rhs.FldStruct &&
+            std::equal(std::begin(FldArr), std::end(FldArr),
+                       std::begin(Rhs.FldArr)) &&
+            FldInt == Rhs.FldInt);
+  }
+  char FldChar;
+  long long FldLongLong;
+  short FldShort;
+  unsigned int FldUint;
+  MyNestedStruct FldStruct;
+  short FldArr[3];
+  int FldInt;
+};
+
+MyStruct GlobS;
+
+static void printStruct(const MyStruct &S0) {
+  std::cout << "{ " << (int)S0.FldChar << ", " << S0.FldLongLong << ", "
+            << S0.FldShort << ", " << S0.FldUint << " { { "
+            << (int)S0.FldStruct.FldArr[0] << " }, " << S0.FldStruct.FldFloat
+            << " }, { " << S0.FldArr[0] << ", " << S0.FldArr[1] << ", "
+            << S0.FldArr[2] << " }, " << S0.FldInt << " }";
+}
+
+bool test0() {
+  MyStruct S = GlobS;
+  MyStruct S0 = {0};
+  {
+    buffer<MyStruct, 1> Buf(&S0, range<1>(1));
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      auto B = Buf.get_access<access::mode::write>(cgh);
+      cgh.single_task<class MyKernel>([=] { B[0] = S; });
+    });
+  }
+  bool Passed = (S == S0);
+
+  if (!Passed) {
+    std::cout << "test0 failed" << std::endl;
+    std::cout << "test0 input:" << std::endl;
+    printStruct(S);
+    std::cout << std::endl;
+    std::cout << "test0 result:\n";
+    printStruct(S0);
+    std::cout << std::endl;
+  }
+  return Passed;
+}
+
+bool test1() {
+  range<3> ice(8, 9, 10);
+  uint ice2 = 888;
+  uint result[4] = {0};
+
+  {
+    buffer<unsigned int, 1> Buffer((unsigned int *)result, range<1>(4));
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      auto B = Buffer.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class bufferByRange_cap>(range<1>{4}, [=](id<1> index) {
+        B[index.get(0)] = index.get(0) > 2 ? ice2 : ice.get(index.get(0));
+      });
+    });
+  }
+
+  bool Passed = true;
+
+  for (unsigned long i = 0; i < 4; ++i) {
+    if (i <= 2) {
+      if (result[i] != ice[i])
+        Passed = false;
+    } else {
+      if (result[i] != ice2)
+        Passed = false;
+    }
+  }
+  if (!Passed)
+    std::cout << "test1 failed" << std::endl;
+
+  return Passed;
+}
+
+int main(int argc, char **argv) {
+  char PartChar = argc;
+  short PartShort = argc << 8;
+  int PartInt = argc << 16;
+  unsigned int PartUint = argc << 16;
+  long long PartLongLong = ((long long)argc) << 32;
+  float PartFloat = argc;
+
+  GlobS = {PartChar,
+           PartLongLong,
+           PartShort,
+           PartUint,
+           {{PartChar}, PartFloat},
+           {PartShort, PartShort, PartShort},
+           PartInt};
+
+  bool Pass = test0() & test1();
+
+  std::cout << "Test " << (Pass ? "passed" : "FAILED") << std::endl;
+  return Pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/KernelParams/union_kernel_param.cpp b/sycl/test-e2e/KernelParams/union_kernel_param.cpp
new file mode 100644
index 0000000000000..39f23e1847306
--- /dev/null
+++ b/sycl/test-e2e/KernelParams/union_kernel_param.cpp
@@ -0,0 +1,39 @@
+// This test checks kernel execution with union type as kernel parameters.
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <cstdio>
+#include <sycl/sycl.hpp>
+
+union TestUnion {
+public:
+  int myint;
+  char mychar;
+  float myfloat;
+
+  TestUnion() { myfloat = 0.0f; };
+};
+
+int main(int argc, char **argv) {
+  TestUnion x;
+  x.myfloat = 5.0f;
+  float myfloat = 0.0f;
+
+  sycl::queue queue;
+  {
+    sycl::buffer<float, 1> buf(&myfloat, 1);
+    queue.submit([&](sycl::handler &cgh) {
+      auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task<class test>([=]() { acc[0] = x.myfloat; });
+    });
+  }
+
+  if (myfloat != 5.0f) {
+    printf("FAILED\nmyfloat = %d\n", myfloat);
+    return 1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_bf16.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_bf16.cpp
new file mode 100644
index 0000000000000..0217eb37416a6
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_bf16.cpp
@@ -0,0 +1,24 @@
+//==----------- element_wise_all_ops_bf16.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_half.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_half.cpp
new file mode 100644
index 0000000000000..08c7251d0b1ae
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_half.cpp
@@ -0,0 +1,25 @@
+//==----------- element_wise_all_ops_half.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// Only runs on DPAS because AMX implementation does not support half data type
+// yet
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_int8.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_int8.cpp
new file mode 100644
index 0000000000000..8462dff815685
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_int8.cpp
@@ -0,0 +1,24 @@
+//==----------- element_wise_all_ops_int8.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_int8_packed.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_int8_packed.cpp
new file mode 100644
index 0000000000000..32f5e0138cd35
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_all_ops_int8_packed.cpp
@@ -0,0 +1,26 @@
+//==------ element_wise_all_ops_int8_packed.cpp  - DPC++ joint_matrix-------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_int8_packed_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_irreg_sum_rows.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_irreg_sum_rows.cpp
new file mode 100644
index 0000000000000..df7a479e06fac
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_irreg_sum_rows.cpp
@@ -0,0 +1,26 @@
+//==-------- element_wise_irreg_sum_rows.cpp  - DPC++ joint_matrix----- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// this code calculates the sum of rows into a global array of number of rows
+// elements. First, partial reduction is computed inside each SG, then atomic
+// add is used to reduce between SG leaders
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_irreg_sum_rows_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_ops.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_ops.cpp
new file mode 100644
index 0000000000000..c64a99fee59c9
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/element_wise_ops.cpp
@@ -0,0 +1,22 @@
+//==----------- element_wise_ops.cpp  - DPC++ joint_matrix------------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_ops_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bf16.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bf16.cpp
new file mode 100644
index 0000000000000..ee084fd400ced
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bf16.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_bf16.cpp  - DPC++ joint_matrix--------------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bfloat16.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bfloat16.cpp
new file mode 100644
index 0000000000000..a616e9a0b0d61
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bfloat16.cpp
@@ -0,0 +1,23 @@
+//==-------- joint_matrix_bfloat16.cpp  - DPC++ joint_matrix----------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_bfloat16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bfloat16_32x64.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bfloat16_32x64.cpp
new file mode 100644
index 0000000000000..8e7b701941256
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_bfloat16_32x64.cpp
@@ -0,0 +1,25 @@
+//==----- joint_matrix_bfloat16_32x64.cpp  - DPC++ joint_matrix-------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: *
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_bfloat16_32x64_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_half.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_half.cpp
new file mode 100644
index 0000000000000..3c2736ddd1492
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_half.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_half.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// Only run on the GPU because half is not supported on AMX hardware
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_int8_vnni.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_int8_vnni.cpp
new file mode 100644
index 0000000000000..272f22e554e9b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_int8_vnni.cpp
@@ -0,0 +1,24 @@
+//==-------- joint_matrix_bf16_vnni.cpp  - DPC++ joint_matrix---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: *
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_int8_vnni_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_ss_int8.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_ss_int8.cpp
new file mode 100644
index 0000000000000..fc9536ff78687
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_ss_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_ss_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_ss_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_su_int8.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_su_int8.cpp
new file mode 100644
index 0000000000000..d1ab5e003cd17
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_su_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_su_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_su_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_us_int8.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_us_int8.cpp
new file mode 100644
index 0000000000000..b07ad6ec286f1
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_us_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_us_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_us_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_uu_int8.cpp b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_uu_int8.cpp
new file mode 100644
index 0000000000000..a14b259b4ce7b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/XMX8/joint_matrix_uu_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_uu_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_uu_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_bf16.cpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_bf16.cpp
new file mode 100644
index 0000000000000..a81f0e255ffea
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_bf16.cpp
@@ -0,0 +1,24 @@
+//==----------- element_wise_all_ops_bf16.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_bf16_impl.hpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_bf16_impl.hpp
new file mode 100644
index 0000000000000..ec00fee588c67
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_bf16_impl.hpp
@@ -0,0 +1,252 @@
+
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+static float make_fp32(uint16_t x) {
+  unsigned int y = x;
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+static uint16_t make_bf16(float x) {
+  int *res = reinterpret_cast<int *>(&x);
+  *res = *res >> 16;
+  return (uint16_t)*res;
+}
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C,
+                    const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = make_fp32(C[i][j]) - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, make_bf16(5.0));
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] + make_bf16(2);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, make_bf16(5.0));
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] - make_bf16(2);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, make_bf16(5.0));
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] * make_bf16(3.0);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, make_bf16(4.0));
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] / make_bf16(2.0);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const float ref) {
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, make_bf16(5.0));
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             if (wi_slice_a[i]) {
+               if (wi_slice_a[i] > make_bf16(2.0) ||
+                   wi_slice_a[i] >= make_bf16(2.0) ||
+                   wi_slice_a[i] < make_bf16(2.0) ||
+                   wi_slice_a[i] <= make_bf16(2.0)) {
+                 T val = (wi_slice_a[i] != make_bf16(2.0)) ? wi_slice_a[i]
+                                                           : make_bf16(2.0);
+                 val = make_bf16(make_fp32(val) - static_cast<float>(1));
+                 val = make_bf16(make_fp32(val) + static_cast<float>(1));
+                 if (wi_slice_a[i] == make_bf16(2.0)) {
+                   val = make_bf16(make_fp32(val) - static_cast<float>(2));
+                   val = make_bf16(make_fp32(val) * static_cast<float>(3));
+                   val = make_bf16(make_fp32(val) / static_cast<float>(2));
+
+                 } else {
+                   val = make_bf16(make_fp32(val) + static_cast<float>(2));
+                 }
+                 wi_slice_a[i] = val;
+               }
+             }
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+unsigned short A[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+void matrix_ops_ref(float *D, int M, int N) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      *(D + m * N + n) = 0;
+      *(D + m * N + n) *= 2;
+    }
+}
+
+int main() {
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<unsigned short, MATRIX_M, MATRIX_N> MA((unsigned short *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<unsigned short, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+  matrix_verify_sub<unsigned short, MATRIX_M, MATRIX_N>(q, MA, r, 3.0);
+  matrix_verify_mul<unsigned short, MATRIX_M, MATRIX_N>(q, MA, r, 15.0);
+  matrix_verify_div<unsigned short, MATRIX_M, MATRIX_N>(q, MA, r, 2.0);
+  matrix_verify_logic<unsigned short, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_half.cpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_half.cpp
new file mode 100644
index 0000000000000..2cb93a42a8a13
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_half.cpp
@@ -0,0 +1,25 @@
+//==----------- element_wise_all_ops_half.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix,gpu
+
+// Only runs on DPAS because AMX implementation does not support half data type
+// yet
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_half_impl.hpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_half_impl.hpp
new file mode 100644
index 0000000000000..62dc0bf55b359
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_half_impl.hpp
@@ -0,0 +1,239 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C,
+                    const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i][j] - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] + static_cast<half>(2);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] - static_cast<half>(2);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] * static_cast<half>(3.0);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 4);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] / static_cast<half>(2.0);
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             if (wi_slice_a[i]) {
+               if (wi_slice_a[i] > static_cast<half>(2.0) ||
+                   wi_slice_a[i] >= static_cast<half>(2.0) ||
+                   wi_slice_a[i] < static_cast<half>(2.0) ||
+                   wi_slice_a[i] <= static_cast<half>(2.0)) {
+                 T val = (wi_slice_a[i] != static_cast<half>(2.0))
+                             ? wi_slice_a[i]
+                             : static_cast<half>(2.0);
+                 val--;
+                 val++;
+                 if (wi_slice_a[i] == static_cast<half>(2.0)) {
+                   val -= 2;
+                   val *= 3;
+                   val /= 2;
+                 } else {
+                   val += 2;
+                 }
+                 wi_slice_a[i] = val;
+               }
+             }
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+half A[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+void matrix_ops_ref(float *D, int M, int N) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      *(D + m * N + n) = 0;
+      *(D + m * N + n) *= 2;
+    }
+}
+
+int main() {
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<half, MATRIX_M, MATRIX_N> MA((half *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<half, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+  matrix_verify_sub<half, MATRIX_M, MATRIX_N>(q, MA, r, 3.0);
+  matrix_verify_mul<half, MATRIX_M, MATRIX_N>(q, MA, r, 15.0);
+  matrix_verify_div<half, MATRIX_M, MATRIX_N>(q, MA, r, 2.0);
+  matrix_verify_logic<half, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8.cpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8.cpp
new file mode 100644
index 0000000000000..49a16d3964c3f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8.cpp
@@ -0,0 +1,24 @@
+//==----------- element_wise_all_ops_int8.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_impl.hpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_impl.hpp
new file mode 100644
index 0000000000000..d9e7871451165
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_impl.hpp
@@ -0,0 +1,226 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C, const int ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i][j] - ref;
+      assert(std::fabs(static_cast<int>(diff)) <=
+             std::numeric_limits<int>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] + 2;
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] - 2;
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] * 3;
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 4);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] / 2;
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TM, TK> sub_a(sg);
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a = sub_a.get_wi_data();
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             if (wi_slice_a[i]) {
+               if (wi_slice_a[i] > 2 || wi_slice_a[i] >= 2 ||
+                   wi_slice_a[i] < 2 || wi_slice_a[i] <= 2) {
+                 T val = (wi_slice_a[i] != 2) ? wi_slice_a[i] : 2;
+                 val--;
+                 val++;
+                 if (wi_slice_a[i] == 2) {
+                   val -= 2;
+                   val *= 3;
+                   val /= 2;
+                 } else {
+                   val += 2;
+                 }
+                 wi_slice_a[i] = val;
+               }
+             }
+           }
+           joint_matrix_store(sg, sub_a,
+                              accA.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+int8_t A[MATRIX_M][MATRIX_N];
+int D[MATRIX_M][MATRIX_N];
+
+int main() {
+
+  big_matrix<int, MATRIX_M, MATRIX_N> MD((int *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_N> MA((int8_t *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 7);
+  matrix_verify_sub<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 3);
+  matrix_verify_mul<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 15);
+  matrix_verify_div<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 2);
+  matrix_verify_logic<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 7);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_packed.cpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_packed.cpp
new file mode 100644
index 0000000000000..d3e38f638b06b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_packed.cpp
@@ -0,0 +1,26 @@
+//==------ element_wise_all_ops_int8_packed.cpp  - DPC++ joint_matrix-------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_int8_packed_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_packed_impl.hpp b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_packed_impl.hpp
new file mode 100644
index 0000000000000..c93aa34d57f1e
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_all_ops_int8_packed_impl.hpp
@@ -0,0 +1,226 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C, const int ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i][j] - ref;
+      assert(std::fabs(static_cast<int>(diff)) <=
+             std::numeric_limits<int>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<T, TK, TN, matrix_layout::packed_b> sub_b(sg);
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b = sub_b.get_wi_data();
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] + 2;
+           }
+           joint_matrix_store(sg, sub_b,
+                              accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                                  sg_starty / SG_SZ * TN * 4,
+                              N * 4, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b = sub_b.get_wi_data();
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] - 2;
+           }
+           joint_matrix_store(sg, sub_b,
+                              accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                                  sg_starty / SG_SZ * TN * 4,
+                              N * 4, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b = sub_b.get_wi_data();
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] * 3;
+           }
+           joint_matrix_store(sg, sub_b,
+                              accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                                  sg_starty / SG_SZ * TN * 4,
+                              N * 4, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+
+           joint_matrix_fill(sg, sub_b, 4);
+
+           auto wi_slice_b = sub_b.get_wi_data();
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] / 2;
+           }
+           joint_matrix_store(sg, sub_b,
+                              accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                                  sg_starty / SG_SZ * TN * 4,
+                              N * 4, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b = sub_b.get_wi_data();
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             if (wi_slice_b[i]) {
+               if (wi_slice_b[i] > 2 || wi_slice_b[i] >= 2 ||
+                   wi_slice_b[i] < 2 || wi_slice_b[i] <= 2) {
+                 T val = (wi_slice_b[i] != 2) ? wi_slice_b[i] : 2;
+                 val--;
+                 val++;
+                 if (wi_slice_b[i] == 2) {
+                   val -= 2;
+                   val *= 3;
+                   val /= 2;
+                 } else {
+                   val += 2;
+                 }
+                 wi_slice_b[i] = val;
+               }
+             }
+           }
+           joint_matrix_store(sg, sub_b,
+                              accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                                  sg_starty / SG_SZ * TN * 4,
+                              N * 4, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+int8_t B[MATRIX_M][MATRIX_N];
+int D[MATRIX_M][MATRIX_N];
+
+int main() {
+
+  big_matrix<int, MATRIX_M, MATRIX_N> MD((int *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_N> MB((int8_t *)&B);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 7);
+  matrix_verify_sub<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 3);
+  matrix_verify_mul<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 15);
+  matrix_verify_div<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 2);
+  matrix_verify_logic<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 7);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_irreg_sum_rows.cpp b/sycl/test-e2e/Matrix/Legacy/element_wise_irreg_sum_rows.cpp
new file mode 100644
index 0000000000000..2b7895ea5b59b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_irreg_sum_rows.cpp
@@ -0,0 +1,26 @@
+//==-------- element_wise_irreg_sum_rows.cpp  - DPC++ joint_matrix----- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// this code calculates the sum of rows into a global array of number of rows
+// elements. First, partial reduction is computed inside each SG, then atomic
+// add is used to reduce between SG leaders
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_irreg_sum_rows_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_irreg_sum_rows_impl.hpp b/sycl/test-e2e/Matrix/Legacy/element_wise_irreg_sum_rows_impl.hpp
new file mode 100644
index 0000000000000..3c34ca2d40f8d
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_irreg_sum_rows_impl.hpp
@@ -0,0 +1,104 @@
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void sum_rows_ref(host_accessor<T, 2, access::mode::read> B,
+                  host_accessor<int, 1, access::mode::read> sum_rows) {
+  int sum_rows_ref[M] = {0};
+  for (size_t i = 0; i < M; i++) {
+    for (size_t j = 0; j < N; j++) {
+      sum_rows_ref[i] += B[i][j];
+    }
+    auto diff = sum_rows[i] - sum_rows_ref[i];
+    assert(std::fabs(static_cast<int>(diff)) <=
+           std::numeric_limits<int>::epsilon());
+  }
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_sum_rows(queue q, big_matrix<T, M, N> &B, nd_range<2> &r) {
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(M, N));
+  // size of vector is known because SG size of set by the user in this case
+  int sum_rows[M] = {0};
+  buffer<int> sum_rows_v(sum_rows, M); // there are total of tK/4 * 2, 16 rows
+  q.submit([&](handler &cgh) {
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     auto v = sum_rows_v.get_access<access::mode::atomic>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+
+           joint_matrix<T, TK, TN, matrix_layout::packed_b> sub_b(sg);
+
+           joint_matrix_load(sg, sub_b,
+                             accB.get_pointer() + (global_idx * (TK / 4) * N) +
+                                 sg_starty / SG_SZ * TN * 4,
+                             N, matrix_layout::packed_b);
+           // calculate sum of rows in sum_rows_v[8], there are 8 rows in sub_b
+           // (tK/4)
+           int32_t sum_local_rows[M] = {0}; // 8 local rows, M total
+           // sub_b has 32x8 elements, 32 elements per WI, 4 per WI per row
+           auto data = sub_b.get_wi_data();
+
+           // each WI calculates local sum of rows
+           for (int row = 0; row < TK / 4; row++) { // there are 8 rows
+             for (int i = 0; i < data.length() / (TK / 4); i++) { // 4 per row
+               // i*SG_SIZE index is found based on the round robin
+               // distribution we are using in the implementation
+               sum_local_rows[row + global_idx * (TK / 4)] += data[i + row * 4];
+             }
+             sum_local_rows[row + global_idx * (TK / 4)] = reduce_over_group(
+                 sg, sum_local_rows[row + global_idx * (TK / 4)],
+                 sycl::plus<>());
+
+             // only Groups leader perform the global reduction
+             if (global_idy % SG_SZ == 0) {
+               atomic_fetch_add(v[row + global_idx * (TK / 4)],
+                                sum_local_rows[row + global_idx * (TK / 4)]);
+             }
+           }
+         }); // parallel for
+   }).wait();
+  sum_rows_ref<T, M, N>(bufB.get_host_access(read_only),
+                        sum_rows_v.get_host_access(read_only));
+}
+
+static constexpr size_t MATRIX_K = TK / 4 * 2;
+static constexpr size_t MATRIX_N = TN * 4 * 2;
+int8_t B[MATRIX_K][MATRIX_N];
+
+int main() {
+  big_matrix<int8_t, MATRIX_K, MATRIX_N> MB((int8_t *)&B);
+
+  size_t NDRangeK = MATRIX_K / (TK / 4);
+  size_t NDRangeN = (MATRIX_N / 4) / TN;
+  queue q;
+  nd_range<2> r({NDRangeK, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = i;
+    }
+  }
+
+  matrix_sum_rows<int8_t, MATRIX_K, MATRIX_N>(q, MB, r);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_ops.cpp b/sycl/test-e2e/Matrix/Legacy/element_wise_ops.cpp
new file mode 100644
index 0000000000000..d9a407e131c25
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_ops.cpp
@@ -0,0 +1,22 @@
+//==----------- element_wise_ops.cpp  - DPC++ joint_matrix------------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_ops_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/element_wise_ops_impl.hpp b/sycl/test-e2e/Matrix/Legacy/element_wise_ops_impl.hpp
new file mode 100644
index 0000000000000..506193f597c83
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/element_wise_ops_impl.hpp
@@ -0,0 +1,152 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           // AMX: 8 register tiles : 1k byte size, SMmaxxSKmax =16x64
+           // strideX = X's cols, so strideC = N, strideA = K, strideB = N*4
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           auto wi_slice_c = sub_c.get_wi_data();
+           for (int i = 0; i < wi_slice_c.length(); i++) {
+             wi_slice_c[i] *= 2;
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+      *(C_mem + m * N + n) *= 2;
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/elemwise_irreg_size_ops_bf16.cpp b/sycl/test-e2e/Matrix/Legacy/elemwise_irreg_size_ops_bf16.cpp
new file mode 100644
index 0000000000000..20604ae67676c
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/elemwise_irreg_size_ops_bf16.cpp
@@ -0,0 +1,190 @@
+//==-------- elemwise_irreg_size_ops_bf16.cpp  - DPC++ joint_matrix---- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// This test is for element wise operations when matrix size does not multiply
+// SG size. This corner case only applies to AMX. Also, it tests bf16 type.
+// only run this on AMX
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+// 10x12 is not multiply the sg size, slicing implementation will have to insert
+// padding
+#define TM 10
+#define TN 12
+#define TK 16
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 2);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<unsigned short, 2> bufB(B.get_data(), range<2>(K / 2, N * 2));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<unsigned short, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the packed_b layout.
+           // By default, the layout is row_major
+           joint_matrix<unsigned short, TK, TN, matrix_layout::packed_b> sub_b(
+               sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K; k += TK) {
+             joint_matrix_load(sg, sub_a,
+                               accA.get_pointer() + (sg_startx * TM) * K + k, K,
+                               matrix_layout::row_major);
+             // Assume we alreay in vnni format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k) * (N) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           auto wi_slice_c = sub_c.get_wi_data();
+           for (int i = 0; i < wi_slice_c.length(); i++) {
+             wi_slice_c[i] += 5.0;
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+unsigned short A[MATRIX_M][MATRIX_K];
+unsigned short B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(short x) {
+  unsigned int y = x;
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+unsigned short make_bf16(float x) {
+  int *res = reinterpret_cast<int *>(&x);
+  *res = *res >> 16;
+  return (unsigned short)*res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        short *va = (short *)(A_mem + m * K + k);
+        short *vb = (short *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        // FIXME: Should we do reduce-add in another version?
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+      *((float *)(C_mem + m * N + n)) += 5.0;
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = make_bf16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = make_bf16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<unsigned short, MATRIX_M, MATRIX_K> MA((unsigned short *)&A);
+  big_matrix<unsigned short, MATRIX_K / 2, MATRIX_N * 2> MB(
+      (unsigned short *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bf16.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bf16.cpp
new file mode 100644
index 0000000000000..b02e8cfc0722f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bf16.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_bf16.cpp  - DPC++ joint_matrix--------------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bf16_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bf16_impl.hpp
new file mode 100644
index 0000000000000..795039ae66a9f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bf16_impl.hpp
@@ -0,0 +1,162 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 2);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<unsigned short, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<unsigned short, 2> bufB(B.get_data(), range<2>(K / 2, N * 2));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<unsigned short, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the packed_b layout.
+           // By default, the layout is row_major
+           joint_matrix<unsigned short, TK, TN, matrix_layout::packed_b> sub_b(
+               sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K; k += TK) {
+             joint_matrix_load(sg, sub_a,
+                               accA.get_pointer() + (sg_startx * TM) * K + k, K,
+                               matrix_layout::row_major);
+             // Assume we alreay in vnni format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k) * (N) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+unsigned short A[MATRIX_M][MATRIX_K];
+unsigned short B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(short x) {
+  unsigned int y = x;
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+unsigned short make_bf16(float x) {
+  int *res = reinterpret_cast<int *>(&x);
+  *res = *res >> 16;
+  return (unsigned short)*res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        short *va = (short *)(A_mem + m * K + k);
+        short *vb = (short *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        // FIXME: Should we do reduce-add in another version?
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = make_bf16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = make_bf16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<unsigned short, MATRIX_M, MATRIX_K> MA((unsigned short *)&A);
+  big_matrix<unsigned short, MATRIX_K / 2, MATRIX_N * 2> MB(
+      (unsigned short *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16.cpp
new file mode 100644
index 0000000000000..fd926ca1c6daa
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16.cpp
@@ -0,0 +1,23 @@
+//==-------- joint_matrix_bfloat16.cpp  - DPC++ joint_matrix----------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_32x64.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_32x64.cpp
new file mode 100644
index 0000000000000..ea94bfcae16b7
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_32x64.cpp
@@ -0,0 +1,25 @@
+//==----- joint_matrix_bfloat16_32x64.cpp  - DPC++ joint_matrix-------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: *
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_32x64_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_32x64_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_32x64_impl.hpp
new file mode 100644
index 0000000000000..45d85b5be687b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_32x64_impl.hpp
@@ -0,0 +1,159 @@
+#define TM 32
+#define TN 64
+#define TK 16
+
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K / 2, N * 2> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<bfloat16, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<bfloat16, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) { //
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 2) * (N * 2) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K / 2][MATRIX_N * 2];
+unsigned short Aref[MATRIX_M][MATRIX_K];
+unsigned short Bref[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(short x) {
+  unsigned int y = x;
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+unsigned short make_bf16(float x) {
+  int *res = reinterpret_cast<int *>(&x);
+  *res = *res >> 16;
+  return (unsigned short)*res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        short *va = (short *)(A_mem + m * K + k);
+        short *vb = (short *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        // FIXME: Should we do reduce-add in another version?
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      // bfloat16 is created using unsigned short since conversion from float to
+      // bfloat16 is not supported on the host side yet
+      A[i][j] = bfloat16(1.0f * (i + j));
+      Aref[i][j] = make_bf16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+      Bref[i][j] = make_bf16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K / 2, MATRIX_N * 2> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)Aref, (int32_t *)Bref, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB.cpp
new file mode 100644
index 0000000000000..6274064463630
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB.cpp
@@ -0,0 +1,28 @@
+//==-- joint_matrix_bfloat16_colmajorA_colmajorB.cpp  - DPC++ joint_matrix--==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This tests support of col major layout for matrix B which does transpose and
+// then VNNI transform. This is currently only available on AMX
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp
new file mode 100644
index 0000000000000..2a536d28c27fe
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp
@@ -0,0 +1,129 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K, N> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<bfloat16, TM, TK> sub_a(sg);
+           joint_matrix<bfloat16, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) { //
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (k * TK) * M + sg_startx * TM,
+                 M, matrix_layout::col_major);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() +
+                                   (sg_starty / SG_SZ * TN) * K + k * TK,
+                               K, matrix_layout::col_major);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_K][MATRIX_M];
+bfloat16 B[MATRIX_N][MATRIX_K];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        D[m][n] += make_fp32(A[k][m]) * make_fp32(B[n][k]);
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_M; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_N; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K, MATRIX_N> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_impl.hpp
new file mode 100644
index 0000000000000..a00b3d7c00602
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_impl.hpp
@@ -0,0 +1,157 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K / 2, N * 2> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<bfloat16, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<bfloat16, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) { //
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 2) * (N * 2) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K / 2][MATRIX_N * 2];
+unsigned short Aref[MATRIX_M][MATRIX_K];
+unsigned short Bref[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(short x) {
+  unsigned int y = x;
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+unsigned short make_bf16(float x) {
+  int *res = reinterpret_cast<int *>(&x);
+  *res = *res >> 16;
+  return (unsigned short)*res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        short *va = (short *)(A_mem + m * K + k);
+        short *vb = (short *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        // FIXME: Should we do reduce-add in another version?
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      // bfloat16 is created using unsigned short since conversion from float to
+      // bfloat16 is not supported on the host side yet
+      A[i][j] = bfloat16(1.0f * (i + j));
+      Aref[i][j] = make_bf16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+      Bref[i][j] = make_bf16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K / 2, MATRIX_N * 2> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)Aref, (int32_t *)Bref, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp
new file mode 100644
index 0000000000000..ec64f32cfa6c3
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp
@@ -0,0 +1,28 @@
+//==--joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp  - DPC++ joint_matrix---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This tests support of row major layout for matrix B which does automatic VNNI
+// transform. This is currently only available on AMX
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp
new file mode 100644
index 0000000000000..d13f62c58ca1e
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp
@@ -0,0 +1,129 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K, N> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<bfloat16, TM, TK> sub_a(sg);
+           joint_matrix<bfloat16, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK) * (N) +
+                                   sg_starty / SG_SZ * TN,
+                               N, matrix_layout::row_major);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K][MATRIX_N];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        D[m][n] += make_fp32(A[m][k]) * make_fp32(B[k][n]);
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K, MATRIX_N> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_half.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_half.cpp
new file mode 100644
index 0000000000000..d9a1c19e18ea9
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_half.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_half.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix,gpu
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// Only run on the GPU because half is not supported on AMX hardware
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_half_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_half_impl.hpp
new file mode 100644
index 0000000000000..ff8643f909f0d
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_half_impl.hpp
@@ -0,0 +1,144 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 2);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<half, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<half, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<half, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<float, TM, TN> sub_c(sg);
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 2) * (N * 2) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+half A[MATRIX_M][MATRIX_K];
+half B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(float *A_mem, float *B_mem, float *C_mem, int M, int N,
+                         int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        half *va = (half *)(A_mem + m * K + k);
+        half *vb = (half *)(B_mem + k * N + n);
+        float acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 2; i++) {
+          acc += ((float)va[i] * (float)vb[i]);
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<half, MATRIX_M, MATRIX_K> MA((half *)&A);
+  big_matrix<half, MATRIX_K / 2, MATRIX_N * 2> MB((half *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((float *)A, (float *)B, (float *)D, MATRIX_M, MATRIX_N,
+                      MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB.cpp
new file mode 100644
index 0000000000000..bccb0d23d97db
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB.cpp
@@ -0,0 +1,27 @@
+//==----- joint_matrix_int8_colmajorA_colmajorB.cpp  - DPC++ joint_matrix---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This tests support of col major layout for matrix B which does transpose and
+// then VNNI transform. This is currently only available on AMX
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_int8_colmajorA_colmajorB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB_impl.hpp
new file mode 100644
index 0000000000000..2bb4352de7cb2
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB_impl.hpp
@@ -0,0 +1,138 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  // assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           // AMX: 8 register tiles : 1k byte size, SMmaxxSKmax =16x64
+           // strideX = X's cols, so strideC = N, strideA = K, strideB = N*4
+           joint_matrix_fill(sg, sub_c, 0);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (k * TK) * M + sg_startx * TM,
+                 M, matrix_layout::col_major);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() +
+                                   (sg_starty / SG_SZ * TN) * K + k * TK,
+                               K, matrix_layout::col_major);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM;
+static constexpr size_t MATRIX_N = TN;
+static constexpr size_t MATRIX_K = TK;
+int8_t A[MATRIX_K][MATRIX_M];
+int8_t Aref[MATRIX_K][MATRIX_M];
+int8_t B[MATRIX_N][MATRIX_K];
+int8_t Bref[MATRIX_N][MATRIX_K];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        D[m][n] += Aref[k][m] * Bref[n][k];
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_M; j++) {
+      A[i][j] = 2 * i + j;
+      Aref[i][j] = 2 * i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_N; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      B[i][j] = i + 2 * j;
+      Bref[i][j] = i + 2 * j;
+    }
+  }
+
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 0;
+      D[i][j] = 0;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K, MATRIX_N> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_vnni.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_vnni.cpp
new file mode 100644
index 0000000000000..c16d3ad726beb
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_vnni.cpp
@@ -0,0 +1,24 @@
+//==-------- joint_matrix_bf16_vnni.cpp  - DPC++ joint_matrix---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_int8_vnni_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_vnni_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_vnni_impl.hpp
new file mode 100644
index 0000000000000..6fe03ddac1b8f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_int8_vnni_impl.hpp
@@ -0,0 +1,155 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TM, TK> sub_a(sg);
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           joint_matrix_fill(sg, sub_c, 0);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // VNNI transform is done automatically at this level
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK) * N +
+                                   sg_starty / SG_SZ * TN,
+                               N, matrix_layout::row_major);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K][MATRIX_N];
+int8_t Bvnni[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void int8_row_vnni_reformat(int8_t *_in, int8_t *_out, int K, int N,
+                            int stride_in) {
+  // find the old index, new index, and copy element.
+  //(K, N) => (k/4, N*4)
+  // idx in 2d: (i,j)=>(i/4, j*4+i%4)
+  // linear idx:
+  for (int i = 0; i < K; ++i) {
+    for (int j = 0; j < N; ++j) {
+      size_t oldindex = i * stride_in + j;
+      size_t newindex = (i / 4) * N * 4 + j * 4 + i % 4;
+      _out[newindex] = _in[oldindex];
+    }
+  }
+}
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = i + j * 2;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 0;
+      D[i][j] = 0;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  int8_row_vnni_reformat((int8_t *)B, (int8_t *)Bvnni, MATRIX_K, MATRIX_N,
+                         MATRIX_N);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)Bvnni, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_query_default.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_query_default.cpp
new file mode 100644
index 0000000000000..4e82a2a928e7c
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_query_default.cpp
@@ -0,0 +1,166 @@
+//==-------- joint_matrix_query.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+
+  using myparams2 = tpu_params<tpu::amx, int8_t, int8_t, int>;
+  constexpr int TM = myparams2::defaultM;
+  constexpr int TN = myparams2::defaultN;
+  constexpr int TK = myparams2::defaultK;
+
+  std::cout << "AMX query sizes are: M " << TM << " N " << TN << " K " << TK
+            << std::endl;
+
+  constexpr int SG_SZ = TN;
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+
+           myparams2::joint_matrix_a<sub_group> sub_a(sg);
+           myparams2::joint_matrix_b<sub_group> sub_b(sg);
+           myparams2::joint_matrix_c<sub_group> sub_c(sg);
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = 128;
+static constexpr size_t MATRIX_N = 128;
+static constexpr size_t MATRIX_K = 128;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_ss_int8.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_ss_int8.cpp
new file mode 100644
index 0000000000000..afdfd28feb903
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_ss_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_ss_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_ss_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_ss_int8_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_ss_int8_impl.hpp
new file mode 100644
index 0000000000000..d83332bfb44d6
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_ss_int8_impl.hpp
@@ -0,0 +1,140 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           joint_matrix_fill(sg, sub_c, 0);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 0;
+      D[i][j] = 0;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_su_int8.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_su_int8.cpp
new file mode 100644
index 0000000000000..7c12200762ef8
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_su_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_su_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_su_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_su_int8_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_su_int8_impl.hpp
new file mode 100644
index 0000000000000..4e3e214f8a482
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_su_int8_impl.hpp
@@ -0,0 +1,147 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, typename T3, size_t NUM_ROWS_A,
+          size_t NUM_COLS_A, size_t NUM_ROWS_B, size_t NUM_COLS_B,
+          size_t NUM_ROWS_C, size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T3, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<uint8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<int8_t, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<uint8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           // AMX: 8 register tiles : 1k byte size, SMmaxxSKmax =16x64
+           // strideX = X's cols, so strideC = N, strideA = K, strideB = N*4
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+uint8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        int8_t *va = (int8_t *)(A_mem + m * K + k);
+        uint8_t *vb = (uint8_t *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (static_cast<int>(va[i]) * static_cast<int>(vb[i]));
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<uint8_t, MATRIX_K / 4, MATRIX_N * 4> MB((uint8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_us_int8.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_us_int8.cpp
new file mode 100644
index 0000000000000..935606cbe6724
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_us_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_us_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_us_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_us_int8_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_us_int8_impl.hpp
new file mode 100644
index 0000000000000..22485b9af52a8
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_us_int8_impl.hpp
@@ -0,0 +1,149 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, typename T3, size_t NUM_ROWS_A,
+          size_t NUM_COLS_A, size_t NUM_ROWS_B, size_t NUM_COLS_B,
+          size_t NUM_ROWS_C, size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T3, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<uint8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<uint8_t, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<int8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           // AMX: 8 register tiles : 1k byte size, SMmaxxSKmax =16x64
+           // strideX = X's cols, so strideC = N, strideA = K, strideB = N*4
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+uint8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        uint8_t *va = (uint8_t *)(A_mem + m * K + k);
+        int8_t *vb = (int8_t *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (static_cast<int>(va[i]) * static_cast<int>(vb[i]));
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<uint8_t, MATRIX_M, MATRIX_K> MA((uint8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_uu_int8.cpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_uu_int8.cpp
new file mode 100644
index 0000000000000..054f3aaae5644
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_uu_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_uu_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_uu_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/Legacy/joint_matrix_uu_int8_impl.hpp b/sycl/test-e2e/Matrix/Legacy/joint_matrix_uu_int8_impl.hpp
new file mode 100644
index 0000000000000..2f6e8ef6a55e5
--- /dev/null
+++ b/sycl/test-e2e/Matrix/Legacy/joint_matrix_uu_int8_impl.hpp
@@ -0,0 +1,147 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<uint8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<uint8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<uint8_t, TM, TK> sub_a(sg);
+           // For B, since current implementation does not support non-packed
+           // layout, users need to specify the updated VNNI sizes along with
+           // the packed_b layout. By default, the layout is row_major and size
+           // is (TK, TN).
+           joint_matrix<uint8_t, TK, TN, matrix_layout::packed_b> sub_b(sg);
+           joint_matrix<int32_t, TM, TN> sub_c(sg);
+
+           // AMX: 8 register tiles : 1k byte size, SMmaxxSKmax =16x64
+           // strideX = X's cols, so strideC = N, strideA = K, strideB = N*4
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, matrix_layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K, matrix_layout::row_major);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4, matrix_layout::packed_b);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, matrix_layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+uint8_t A[MATRIX_M][MATRIX_K];
+uint8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        uint8_t *va = (uint8_t *)(A_mem + m * K + k);
+        uint8_t *vb = (uint8_t *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (static_cast<int>(va[i]) * static_cast<int>(vb[i]));
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<uint8_t, MATRIX_M, MATRIX_K> MA((uint8_t *)&A);
+  big_matrix<uint8_t, MATRIX_K / 4, MATRIX_N * 4> MB((uint8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  if (res)
+    std::cout << "passed\n";
+  else
+    std::cout << "failed\n";
+}
diff --git a/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_bf16.cpp b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_bf16.cpp
new file mode 100644
index 0000000000000..b12923536a03a
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_bf16.cpp
@@ -0,0 +1,25 @@
+//==----------- element_wise_all_ops_bf16.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_half.cpp b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_half.cpp
new file mode 100644
index 0000000000000..62fd63cc88ad9
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_half.cpp
@@ -0,0 +1,25 @@
+//==----------- element_wise_all_ops_half.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// Only runs on DPAS because AMX implementation does not support half data type
+// yet
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_int8.cpp b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_int8.cpp
new file mode 100644
index 0000000000000..2605e89e30cd7
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_int8.cpp
@@ -0,0 +1,24 @@
+//==----------- element_wise_all_ops_int8.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_int8_packed.cpp b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_int8_packed.cpp
new file mode 100644
index 0000000000000..696dfbf364487
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/element_wise_all_ops_int8_packed.cpp
@@ -0,0 +1,26 @@
+//==------ element_wise_all_ops_int8_packed.cpp  - DPC++ joint_matrix-------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test stores the matrix B that is VNNIed (packed).
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_all_ops_int8_packed_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/element_wise_irreg_sum_rows.cpp b/sycl/test-e2e/Matrix/XMX8/element_wise_irreg_sum_rows.cpp
new file mode 100644
index 0000000000000..cc3dd78a63b55
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/element_wise_irreg_sum_rows.cpp
@@ -0,0 +1,26 @@
+//==-------- element_wise_irreg_sum_rows.cpp  - DPC++ joint_matrix----- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// this code calculates the sum of rows into a global array of number of rows
+// elements. First, partial reduction is computed inside each SG, then atomic
+// add is used to reduce between SG leaders
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../element_wise_irreg_sum_rows_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_gemm.cpp b/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_gemm.cpp
new file mode 100644
index 0000000000000..2890298389c21
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_gemm.cpp
@@ -0,0 +1,26 @@
+//==----------- get_coord_bf16_gemm.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL:*
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../get_coord_bf16_gemm_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_matA.cpp b/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_matA.cpp
new file mode 100644
index 0000000000000..e80464c1ae63f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_matA.cpp
@@ -0,0 +1,26 @@
+//==----------- get_coord_bf16_matA.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL:*
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../get_coord_bf16_matA_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_matB.cpp b/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_matB.cpp
new file mode 100644
index 0000000000000..6c7bbf7da15f5
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/get_coord_bf16_matB.cpp
@@ -0,0 +1,26 @@
+//==----------- get_coord_bf16_matB.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL:*
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../get_coord_bf16_matB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_apply_bf16.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_apply_bf16.cpp
new file mode 100644
index 0000000000000..bc9e78e9bbc4c
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_apply_bf16.cpp
@@ -0,0 +1,24 @@
+//==----------- joint_matrix_apply_bf16.cpp  - DPC++ joint_matrix-----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_apply_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16.cpp
new file mode 100644
index 0000000000000..e1f67c435ec28
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16.cpp
@@ -0,0 +1,23 @@
+//==-------- joint_matrix_bfloat16.cpp  - DPC++ joint_matrix----------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_bfloat16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16_32x64.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16_32x64.cpp
new file mode 100644
index 0000000000000..e7c1b42dd7ab4
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16_32x64.cpp
@@ -0,0 +1,25 @@
+//==----- joint_matrix_bfloat16_32x64.cpp  - DPC++ joint_matrix-------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: *
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_bfloat16_32x64_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_half.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_half.cpp
new file mode 100644
index 0000000000000..355fef88e23f0
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_half.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_half.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// Only run on the GPU because half is not supported on AMX hardware
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_int8_vnni.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_int8_vnni.cpp
new file mode 100644
index 0000000000000..0af6a21b85c52
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_int8_vnni.cpp
@@ -0,0 +1,24 @@
+//==-------- joint_matrix_bf16_vnni.cpp  - DPC++ joint_matrix---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: *
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_int8_vnni_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_ss_int8.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_ss_int8.cpp
new file mode 100644
index 0000000000000..86d7f753080a2
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_ss_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_ss_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_ss_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_su_int8.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_su_int8.cpp
new file mode 100644
index 0000000000000..252a647f5d9aa
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_su_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_su_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_su_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_us_int8.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_us_int8.cpp
new file mode 100644
index 0000000000000..e74e7ad46bd42
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_us_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_us_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_us_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/XMX8/joint_matrix_uu_int8.cpp b/sycl/test-e2e/Matrix/XMX8/joint_matrix_uu_int8.cpp
new file mode 100644
index 0000000000000..06934de225ada
--- /dev/null
+++ b/sycl/test-e2e/Matrix/XMX8/joint_matrix_uu_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_uu_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_uu_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_bf16.cpp b/sycl/test-e2e/Matrix/element_wise_all_ops_bf16.cpp
new file mode 100644
index 0000000000000..b871f13e567b1
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_bf16.cpp
@@ -0,0 +1,26 @@
+//==----------- element_wise_all_ops_bf16.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_bf16_impl.hpp b/sycl/test-e2e/Matrix/element_wise_all_ops_bf16_impl.hpp
new file mode 100644
index 0000000000000..33bcb5286abe0
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_bf16_impl.hpp
@@ -0,0 +1,256 @@
+
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+static float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C,
+                    const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = make_fp32(C[i][j]) - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, bfloat16(5.0));
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] + bfloat16(2);
+           }
+
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, bfloat16(5.0));
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] - bfloat16(2);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+           joint_matrix_fill(sg, sub_a, bfloat16(5.0));
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] * bfloat16(3.0);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, bfloat16(4.0));
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] / bfloat16(2.0);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const float ref) {
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, bfloat16(5.0));
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             if (wi_slice_a[i]) {
+               if (wi_slice_a[i] > bfloat16(2.0) ||
+                   wi_slice_a[i] >= bfloat16(2.0) ||
+                   wi_slice_a[i] < bfloat16(2.0) ||
+                   wi_slice_a[i] <= bfloat16(2.0)) {
+                 T val = (wi_slice_a[i] != bfloat16(2.0)) ? wi_slice_a[i]
+                                                          : bfloat16(2.0);
+                 val = bfloat16(make_fp32(val) - static_cast<float>(1));
+                 val = bfloat16(make_fp32(val) + static_cast<float>(1));
+                 if (wi_slice_a[i] == bfloat16(2.0)) {
+                   val = bfloat16(make_fp32(val) - static_cast<float>(2));
+                   val = bfloat16(make_fp32(val) * static_cast<float>(3));
+                   val = bfloat16(make_fp32(val) / static_cast<float>(2));
+
+                 } else {
+                   val = bfloat16(make_fp32(val) + static_cast<float>(2));
+                 }
+                 wi_slice_a[i] = val;
+               }
+             }
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+bfloat16 A[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+void matrix_ops_ref(float *D, int M, int N) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      *(D + m * N + n) = 0;
+      *(D + m * N + n) *= 2;
+    }
+}
+
+int main() {
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_N> MA((bfloat16 *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<bfloat16, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+  matrix_verify_sub<bfloat16, MATRIX_M, MATRIX_N>(q, MA, r, 3.0);
+  matrix_verify_mul<bfloat16, MATRIX_M, MATRIX_N>(q, MA, r, 15.0);
+  matrix_verify_div<bfloat16, MATRIX_M, MATRIX_N>(q, MA, r, 2.0);
+  matrix_verify_logic<bfloat16, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_cuda.cpp b/sycl/test-e2e/Matrix/element_wise_all_ops_cuda.cpp
new file mode 100644
index 0000000000000..ee8cbfff996f5
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_cuda.cpp
@@ -0,0 +1,183 @@
+//==----------- element_wise_all_ops_cuda.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xsycl-target-backend --cuda-gpu-arch=sm_80 -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4 %s -o %t.out
+// RUN: %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 32
+constexpr size_t nWGperDim = 2;
+
+class Logical {};
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N, typename OP>
+class KernelName;
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(T *C, const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i + j * M] - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+template <typename T, typename T2, size_t M, size_t K, size_t N,
+          class Operation>
+void matrix_verify_op(queue q, big_matrix<T2, M * nWGperDim, N * nWGperDim> &C,
+                      nd_range<2> &r, const float ref, Operation Op) {
+  {
+    buffer<T2, 2> bufC(C.get_data(), range<2>(N * nWGperDim, M * nWGperDim));
+
+    q.submit([&](handler &cgh) {
+       accessor<T2, 2, access::mode::read_write, target::device> accC(bufC,
+                                                                      cgh);
+
+       cgh.parallel_for<KernelName<T, T2, M, K, N, Operation>>(
+           r, [accC,
+               Op](nd_item<2> spmd_item) [[sycl::reqd_sub_group_size(SG_SZ)]] {
+             const auto global_idx = spmd_item.get_global_id(0);
+             const auto global_idy = spmd_item.get_global_id(1);
+             const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+             const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+             auto sg = spmd_item.get_sub_group();
+
+             joint_matrix<sub_group, T, use::a, M, K, layout::row_major> sub_a;
+             joint_matrix<sub_group, T, use::b, K, N, layout::row_major> sub_b;
+             joint_matrix<sub_group, T2, use::accumulator, M, N> sub_c;
+
+             joint_matrix_fill(sg, sub_a, 3);
+             joint_matrix_fill(sg, sub_b, 1);
+             joint_matrix_fill(sg, sub_c, -80);
+
+             auto wi_slice_a = get_wi_data(sg, sub_a);
+             for (int i = 0; i < wi_slice_a.length(); i++) {
+               if constexpr (std::is_same_v<Operation, Logical>) {
+                 if (wi_slice_a[i]) {
+                   if (wi_slice_a[i] > 2.0 || wi_slice_a[i] >= 3.0 ||
+                       wi_slice_a[i] < 4.0 || wi_slice_a[i] <= 3.0) {
+                     T val = (wi_slice_a[i] != (2.0)) ? wi_slice_a[i]
+                                                      : static_cast<T>(2.0);
+                     val = ((val) - (1));
+                     val = ((val) + (1));
+                     if (wi_slice_a[i] == (2.0)) {
+                       val = ((val) - (2));
+                       val = ((val) * (3));
+                       val = ((val) / (2));
+
+                     } else {
+                       val = ((val) + (2));
+                     }
+                     wi_slice_a[i] = val;
+                   }
+                 }
+               } else {
+                 wi_slice_a[i] = Op(wi_slice_a[i], 2);
+               }
+             }
+
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+
+             joint_matrix_store(sg, sub_c,
+                                accC.get_pointer() +
+                                    (sg_startx * M) * (N * nWGperDim) +
+                                    sg_starty / SG_SZ * N,
+                                (N * nWGperDim), layout::row_major);
+           }); // parallel for
+     }).wait();
+  }
+  assert_ops_ref<T2, M * nWGperDim, N * nWGperDim>(C.get_data(), ref);
+}
+
+static constexpr size_t MATRIX_M = 16 * nWGperDim;
+static constexpr size_t MATRIX_N = 16 * nWGperDim;
+
+int main() {
+
+  float D[MATRIX_M][MATRIX_N];
+  big_matrix<float, MATRIX_M, MATRIX_N> MD_f((float *)&D);
+
+  queue q;
+  auto computeCapability =
+      std::stof(q.get_device().get_info<sycl::info::device::backend_version>());
+  nd_range<2> r({nWGperDim, nWGperDim * SG_SZ}, {1, 1 * SG_SZ});
+
+  if (computeCapability >= 7.0) {
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, 0.0,
+                                              std::plus<half>{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, 0.0, Logical{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, 16.0,
+                                              std::multiplies<half>{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, -56.0,
+                                              std::divides<half>{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, -64.0,
+                                              std::minus<half>{});
+  }
+
+  if (computeCapability >= 7.2) {
+    int32_t D_i[MATRIX_M][MATRIX_N];
+    big_matrix<int32_t, MATRIX_M, MATRIX_N> MD_i((int32_t *)&D_i);
+    matrix_verify_op<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0,
+                                                   std::plus<uint8_t>{});
+    matrix_verify_op<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, 16,
+                                                   std::multiplies<uint8_t>{});
+    matrix_verify_op<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, -64,
+                                                   std::minus<uint8_t>{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0,
+                                                  std::plus<int8_t>{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0.0, Logical{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 16,
+                                                  std::multiplies<int8_t>{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, -64,
+                                                  std::minus<int8_t>{});
+  }
+
+  if (computeCapability >= 8.0) {
+
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, 0.0,
+                                                  std::plus<bfloat16>{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, 0.0, Logical{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, 16.0,
+                                                  std::multiplies<bfloat16>{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, -56.0,
+                                                  std::divides<bfloat16>{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, -64.0,
+                                                  std::minus<bfloat16>{});
+
+    double D_d[MATRIX_M / 2][MATRIX_N / 2];
+    big_matrix<double, 8 * nWGperDim, 8 * nWGperDim> MD_d((double *)&D_d);
+
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -60.0,
+                                              std::plus<double>{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -60.0, Logical{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -56.0,
+                                              std::multiplies<double>{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -74.0,
+                                              std::divides<double>{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -76.0,
+                                              std::minus<double>{});
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_cuda_legacy.cpp b/sycl/test-e2e/Matrix/element_wise_all_ops_cuda_legacy.cpp
new file mode 100644
index 0000000000000..5222b8d0255c4
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_cuda_legacy.cpp
@@ -0,0 +1,184 @@
+//==----------- element_wise_all_ops_cuda.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: cuda
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xsycl-target-backend --cuda-gpu-arch=sm_80 -DSYCL_EXT_ONEAPI_MATRIX_VERSION=3 %s -o %t.out
+// RUN: %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 32
+constexpr size_t nWGperDim = 2;
+
+class Logical {};
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N, typename OP>
+class KernelName;
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(T *C, const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i + j * M] - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+template <typename T, typename T2, size_t M, size_t K, size_t N,
+          class Operation>
+void matrix_verify_op(queue q, big_matrix<T2, M * nWGperDim, N * nWGperDim> &C,
+                      nd_range<2> &r, const float ref, Operation Op) {
+  {
+    buffer<T2, 2> bufC(C.get_data(), range<2>(N * nWGperDim, M * nWGperDim));
+
+    q.submit([&](handler &cgh) {
+       accessor<T2, 2, access::mode::read_write, target::device> accC(bufC,
+                                                                      cgh);
+
+       cgh.parallel_for<KernelName<T, T2, M, K, N, Operation>>(
+           r, [accC,
+               Op](nd_item<2> spmd_item) [[sycl::reqd_sub_group_size(SG_SZ)]] {
+             const auto global_idx = spmd_item.get_global_id(0);
+             const auto global_idy = spmd_item.get_global_id(1);
+             const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+             const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+             auto sg = spmd_item.get_sub_group();
+
+             joint_matrix<T, matrix_use::a, M, K> sub_a;
+             joint_matrix<T, matrix_use::b, K, N> sub_b;
+             joint_matrix<T2, matrix_use::accumulator, M, N> sub_c;
+
+             joint_matrix_fill(sg, sub_a, 3);
+             joint_matrix_fill(sg, sub_b, 1);
+             joint_matrix_fill(sg, sub_c, -80);
+
+             auto wi_slice_a = sub_a.get_wi_data();
+             for (int i = 0; i < wi_slice_a.length(); i++) {
+               if constexpr (std::is_same_v<Operation, Logical>) {
+                 if (wi_slice_a[i]) {
+                   if (wi_slice_a[i] > 2.0 || wi_slice_a[i] >= 3.0 ||
+                       wi_slice_a[i] < 4.0 || wi_slice_a[i] <= 3.0) {
+                     T val = (wi_slice_a[i] != (2.0)) ? wi_slice_a[i]
+                                                      : static_cast<T>(2.0);
+                     val = ((val) - (1));
+                     val = ((val) + (1));
+                     if (wi_slice_a[i] == (2.0)) {
+                       val = ((val) - (2));
+                       val = ((val) * (3));
+                       val = ((val) / (2));
+
+                     } else {
+                       val = ((val) + (2));
+                     }
+                     wi_slice_a[i] = val;
+                   }
+                 }
+               } else {
+                 wi_slice_a[i] = Op(wi_slice_a[i], 2);
+               }
+             }
+
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+
+             joint_matrix_store(sg, sub_c,
+                                accC.get_pointer() +
+                                    (sg_startx * M) * (N * nWGperDim) +
+                                    sg_starty / SG_SZ * N,
+                                (N * nWGperDim));
+           }); // parallel for
+     }).wait();
+  }
+  assert_ops_ref<T2, M * nWGperDim, N * nWGperDim>(C.get_data(), ref);
+}
+
+static constexpr size_t MATRIX_M = 16 * nWGperDim;
+static constexpr size_t MATRIX_N = 16 * nWGperDim;
+
+int main() {
+
+  float D[MATRIX_M][MATRIX_N];
+  big_matrix<float, MATRIX_M, MATRIX_N> MD_f((float *)&D);
+
+  queue q;
+  auto computeCapability =
+      std::stof(q.get_device().get_info<info::device::backend_version>());
+  nd_range<2> r({nWGperDim, nWGperDim * SG_SZ}, {1, 1 * SG_SZ});
+
+  if (computeCapability >= 7.0) {
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, 0.0,
+                                              std::plus<half>{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, 0.0, Logical{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, 16.0,
+                                              std::multiplies<half>{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, -56.0,
+                                              std::divides<half>{});
+    matrix_verify_op<half, float, 16, 16, 16>(q, MD_f, r, -64.0,
+                                              std::minus<half>{});
+  }
+
+  if (computeCapability >= 7.2) {
+    int32_t D_i[MATRIX_M][MATRIX_N];
+    big_matrix<int32_t, MATRIX_M, MATRIX_N> MD_i((int32_t *)&D_i);
+    matrix_verify_op<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0,
+                                                   std::plus<uint8_t>{});
+    matrix_verify_op<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, 16,
+                                                   std::multiplies<uint8_t>{});
+    matrix_verify_op<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, -64,
+                                                   std::minus<uint8_t>{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0,
+                                                  std::plus<int8_t>{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0.0, Logical{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 16,
+                                                  std::multiplies<int8_t>{});
+    matrix_verify_op<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, -64,
+                                                  std::minus<int8_t>{});
+  }
+
+  if (computeCapability >= 8.0) {
+
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, 0.0,
+                                                  std::plus<bfloat16>{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, 0.0, Logical{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, 16.0,
+                                                  std::multiplies<bfloat16>{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, -56.0,
+                                                  std::divides<bfloat16>{});
+    matrix_verify_op<bfloat16, float, 16, 16, 16>(q, MD_f, r, -64.0,
+                                                  std::minus<bfloat16>{});
+
+    double D_d[MATRIX_M / 2][MATRIX_N / 2];
+    big_matrix<double, 8 * nWGperDim, 8 * nWGperDim> MD_d((double *)&D_d);
+
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -60.0,
+                                              std::plus<double>{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -60.0, Logical{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -56.0,
+                                              std::multiplies<double>{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -74.0,
+                                              std::divides<double>{});
+    matrix_verify_op<double, double, 8, 4, 8>(q, MD_d, r, -76.0,
+                                              std::minus<double>{});
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_half.cpp b/sycl/test-e2e/Matrix/element_wise_all_ops_half.cpp
new file mode 100644
index 0000000000000..e4b7c95a2ba1b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_half.cpp
@@ -0,0 +1,25 @@
+//==----------- element_wise_all_ops_half.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix,gpu
+
+// Only runs on DPAS because AMX implementation does not support half data type
+// yet
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_half_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_half_impl.hpp b/sycl/test-e2e/Matrix/element_wise_all_ops_half_impl.hpp
new file mode 100644
index 0000000000000..96031d7b0f887
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_half_impl.hpp
@@ -0,0 +1,249 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C,
+                    const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i][j] - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] + static_cast<half>(2);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] - static_cast<half>(2);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] * static_cast<half>(3.0);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 4);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] / static_cast<half>(2.0);
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const float ref) {
+  buffer<half, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             if (wi_slice_a[i]) {
+               if (wi_slice_a[i] > static_cast<half>(2.0) ||
+                   wi_slice_a[i] >= static_cast<half>(2.0) ||
+                   wi_slice_a[i] < static_cast<half>(2.0) ||
+                   wi_slice_a[i] <= static_cast<half>(2.0)) {
+                 T val = (wi_slice_a[i] != static_cast<half>(2.0))
+                             ? wi_slice_a[i]
+                             : static_cast<half>(2.0);
+                 val--;
+                 val++;
+                 if (wi_slice_a[i] == static_cast<half>(2.0)) {
+                   val -= 2;
+                   val *= 3;
+                   val /= 2;
+                 } else {
+                   val += 2;
+                 }
+                 wi_slice_a[i] = val;
+               }
+             }
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+half A[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+void matrix_ops_ref(float *D, int M, int N) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      *(D + m * N + n) = 0;
+      *(D + m * N + n) *= 2;
+    }
+}
+
+int main() {
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<half, MATRIX_M, MATRIX_N> MA((half *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<half, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+  matrix_verify_sub<half, MATRIX_M, MATRIX_N>(q, MA, r, 3.0);
+  matrix_verify_mul<half, MATRIX_M, MATRIX_N>(q, MA, r, 15.0);
+  matrix_verify_div<half, MATRIX_M, MATRIX_N>(q, MA, r, 2.0);
+  matrix_verify_logic<half, MATRIX_M, MATRIX_N>(q, MA, r, 7.0);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_int8.cpp b/sycl/test-e2e/Matrix/element_wise_all_ops_int8.cpp
new file mode 100644
index 0000000000000..adcee2a750ef9
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_int8.cpp
@@ -0,0 +1,24 @@
+//==----------- element_wise_all_ops_int8.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_int8_impl.hpp b/sycl/test-e2e/Matrix/element_wise_all_ops_int8_impl.hpp
new file mode 100644
index 0000000000000..45f91d4c67334
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_int8_impl.hpp
@@ -0,0 +1,236 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C, const int ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i][j] - ref;
+      assert(std::fabs(static_cast<int>(diff)) <=
+             std::numeric_limits<int>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] + 2;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] - 2;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] * 3;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 4);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             wi_slice_a[i] = wi_slice_a[i] / 2;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const int ref) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+           joint_matrix_fill(sg, sub_a, 5);
+
+           auto wi_slice_a =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+           for (int i = 0; i < wi_slice_a.length(); i++) {
+             if (wi_slice_a[i]) {
+               if (wi_slice_a[i] > 2 || wi_slice_a[i] >= 2 ||
+                   wi_slice_a[i] < 2 || wi_slice_a[i] <= 2) {
+                 T val = (wi_slice_a[i] != 2) ? wi_slice_a[i] : 2;
+                 val--;
+                 val++;
+                 if (wi_slice_a[i] == 2) {
+                   val -= 2;
+                   val *= 3;
+                   val /= 2;
+                 } else {
+                   val += 2;
+                 }
+                 wi_slice_a[i] = val;
+               }
+             }
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_a,
+               accA.get_pointer() + (sg_startx * TM) * N +
+                   sg_starty / SG_SZ * TN,
+               N);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufA.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+int8_t A[MATRIX_M][MATRIX_N];
+int D[MATRIX_M][MATRIX_N];
+
+int main() {
+
+  big_matrix<int, MATRIX_M, MATRIX_N> MD((int *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_N> MA((int8_t *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 7);
+  matrix_verify_sub<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 3);
+  matrix_verify_mul<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 15);
+  matrix_verify_div<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 2);
+  matrix_verify_logic<int8_t, MATRIX_M, MATRIX_N>(q, MA, r, 7);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_int8_packed.cpp b/sycl/test-e2e/Matrix/element_wise_all_ops_int8_packed.cpp
new file mode 100644
index 0000000000000..e7a066468848f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_int8_packed.cpp
@@ -0,0 +1,29 @@
+//==------ element_wise_all_ops_int8_packed.cpp  - DPC++ joint_matrix-------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test stores the matrix B that is VNNIed (packed).
+// This is expected to fail on the GPU because some built-ins are missing still.
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_all_ops_int8_packed_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_all_ops_int8_packed_impl.hpp b/sycl/test-e2e/Matrix/element_wise_all_ops_int8_packed_impl.hpp
new file mode 100644
index 0000000000000..515ddf7b9677f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_all_ops_int8_packed_impl.hpp
@@ -0,0 +1,246 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ops_ref(host_accessor<T, 2, access::mode::read> C, const int ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i][j] - ref;
+      assert(std::fabs(static_cast<int>(diff)) <=
+             std::numeric_limits<int>::epsilon());
+    }
+}
+template <typename T, size_t M, size_t N>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] + 2;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_b,
+               accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                   sg_starty / SG_SZ * TN * 4,
+               N * 4);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_sub(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class sub_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] - 2;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_b,
+               accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                   sg_starty / SG_SZ * TN * 4,
+               N * 4);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_mul(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class mul_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] * 3;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_b,
+               accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                   sg_starty / SG_SZ * TN * 4,
+               N * 4);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_div(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class div_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_fill(sg, sub_b, 4);
+
+           auto wi_slice_b =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             wi_slice_b[i] = wi_slice_b[i] / 2;
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_b,
+               accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                   sg_starty / SG_SZ * TN * 4,
+               N * 4);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_verify_logic(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                         const int ref) {
+  buffer<int8_t, 2> bufB(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     auto accA = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class logic_matrix>(
+         r, [accA](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_fill(sg, sub_b, 5);
+
+           auto wi_slice_b =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+           for (int i = 0; i < wi_slice_b.length(); i++) {
+             if (wi_slice_b[i]) {
+               if (wi_slice_b[i] > 2 || wi_slice_b[i] >= 2 ||
+                   wi_slice_b[i] < 2 || wi_slice_b[i] <= 2) {
+                 T val = (wi_slice_b[i] != 2) ? wi_slice_b[i] : 2;
+                 val--;
+                 val++;
+                 if (wi_slice_b[i] == 2) {
+                   val -= 2;
+                   val *= 3;
+                   val /= 2;
+                 } else {
+                   val += 2;
+                 }
+                 wi_slice_b[i] = val;
+               }
+             }
+           }
+           ext::intel::experimental::matrix::joint_matrix_store(
+               sg, sub_b,
+               accA.get_pointer() + (sg_startx * TM) * N * 4 +
+                   sg_starty / SG_SZ * TN * 4,
+               N * 4);
+         }); // parallel for
+   }).wait();
+  assert_ops_ref<T, M, N>(bufB.get_host_access(read_only), ref);
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+int8_t B[MATRIX_M][MATRIX_N];
+int D[MATRIX_M][MATRIX_N];
+
+int main() {
+
+  big_matrix<int, MATRIX_M, MATRIX_N> MD((int *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_N> MB((int8_t *)&B);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 7);
+  matrix_verify_sub<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 3);
+  matrix_verify_mul<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 15);
+  matrix_verify_div<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 2);
+  matrix_verify_logic<int8_t, MATRIX_M, MATRIX_N>(q, MB, r, 7);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_irreg_sum_rows.cpp b/sycl/test-e2e/Matrix/element_wise_irreg_sum_rows.cpp
new file mode 100644
index 0000000000000..76e24de5c6bab
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_irreg_sum_rows.cpp
@@ -0,0 +1,26 @@
+//==-------- element_wise_irreg_sum_rows.cpp  - DPC++ joint_matrix----- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This code calculates the sum of rows into a global array of number of rows
+// elements. First, partial reduction is computed inside each SG, then atomic
+// add is used to reduce between SG leaders
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_irreg_sum_rows_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_irreg_sum_rows_impl.hpp b/sycl/test-e2e/Matrix/element_wise_irreg_sum_rows_impl.hpp
new file mode 100644
index 0000000000000..7062d5dadc037
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_irreg_sum_rows_impl.hpp
@@ -0,0 +1,107 @@
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void sum_rows_ref(host_accessor<T, 2, access::mode::read> B,
+                  host_accessor<int, 1, access::mode::read> sum_rows) {
+  int sum_rows_ref[M] = {0};
+  for (size_t i = 0; i < M; i++) {
+    for (size_t j = 0; j < N; j++) {
+      sum_rows_ref[i] += B[i][j];
+    }
+    auto diff = sum_rows[i] - sum_rows_ref[i];
+    assert(std::fabs(static_cast<int>(diff)) <=
+           std::numeric_limits<int>::epsilon());
+  }
+}
+
+template <typename T, size_t M, size_t N>
+void matrix_sum_rows(queue q, big_matrix<T, M, N> &B, nd_range<2> &r) {
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(M, N));
+  // size of vector is known because SG size of set by the user in this case
+  int sum_rows[M] = {0};
+  buffer<int> sum_rows_v(sum_rows, M); // there are total of tK/4 * 2, 16 rows
+  q.submit([&](handler &cgh) {
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     auto v = sum_rows_v.get_access<access::mode::atomic>(cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+
+           joint_matrix<sub_group, T, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_load(sg, sub_b,
+                             accB.get_pointer() + (global_idx * (TK / 4) * N) +
+                                 sg_starty / SG_SZ * TN * 4,
+                             N);
+           // calculate sum of rows in sum_rows_v[8], there are 8 rows in sub_b
+           // (tK/4)
+           int32_t sum_local_rows[M] = {0}; // 8 local rows, M total
+           // sub_b has 32x8 elements, 32 elements per WI, 4 per WI per row
+           auto data =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+
+           // each WI calculates local sum of rows
+           for (int row = 0; row < TK / 4; row++) { // there are 8 rows
+             for (int i = 0; i < data.length() / (TK / 4); i++) { // 4 per row
+               // i*SG_SIZE index is found based on the round robin
+               // distribution we are using in the implementation
+               sum_local_rows[row + global_idx * (TK / 4)] += data[i + row * 4];
+             }
+             sum_local_rows[row + global_idx * (TK / 4)] = reduce_over_group(
+                 sg, sum_local_rows[row + global_idx * (TK / 4)],
+                 sycl::plus<>());
+
+             // only Groups leader perform the global reduction
+             if (global_idy % SG_SZ == 0) {
+               atomic_fetch_add(v[row + global_idx * (TK / 4)],
+                                sum_local_rows[row + global_idx * (TK / 4)]);
+             }
+           }
+         }); // parallel for
+   }).wait();
+  sum_rows_ref<T, M, N>(bufB.get_host_access(read_only),
+                        sum_rows_v.get_host_access(read_only));
+}
+
+static constexpr size_t MATRIX_K = TK / 4 * 2;
+static constexpr size_t MATRIX_N = TN * 4 * 2;
+int8_t B[MATRIX_K][MATRIX_N];
+
+int main() {
+  big_matrix<int8_t, MATRIX_K, MATRIX_N> MB((int8_t *)&B);
+
+  size_t NDRangeK = MATRIX_K / (TK / 4);
+  size_t NDRangeN = (MATRIX_N / 4) / TN;
+  queue q;
+  nd_range<2> r({NDRangeK, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = i;
+    }
+  }
+
+  matrix_sum_rows<int8_t, MATRIX_K, MATRIX_N>(q, MB, r);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/element_wise_ops.cpp b/sycl/test-e2e/Matrix/element_wise_ops.cpp
new file mode 100644
index 0000000000000..c3b949fd9f30a
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_ops.cpp
@@ -0,0 +1,22 @@
+//==----------- element_wise_ops.cpp  - DPC++ joint_matrix------------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "element_wise_ops_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/element_wise_ops_impl.hpp b/sycl/test-e2e/Matrix/element_wise_ops_impl.hpp
index 2238064d611d1..abf23d5b3719f 100644
--- a/sycl/test-e2e/Matrix/element_wise_ops_impl.hpp
+++ b/sycl/test-e2e/Matrix/element_wise_ops_impl.hpp
@@ -71,7 +71,8 @@ void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
                                N * 4);
              sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
            }
-           auto wi_slice_c = get_wi_data(sg, sub_c);
+           auto wi_slice_c =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_c);
            for (int i = 0; i < wi_slice_c.length(); i++) {
              wi_slice_c[i] *= 2;
            }
diff --git a/sycl/test-e2e/Matrix/element_wise_wi_marray_legacy.cpp b/sycl/test-e2e/Matrix/element_wise_wi_marray_legacy.cpp
new file mode 100644
index 0000000000000..ebbdec25767fb
--- /dev/null
+++ b/sycl/test-e2e/Matrix/element_wise_wi_marray_legacy.cpp
@@ -0,0 +1,68 @@
+//==----------- element_wise_wi_marray.cpp  - DPC++ joint_matrix------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: cuda
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xsycl-target-backend --cuda-gpu-arch=sm_80 -DSYCL_EXT_ONEAPI_MATRIX_VERSION=3 %s -o %t.out
+// RUN: %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 32
+
+template <typename T, size_t M, size_t K> void verify_wi_marray(queue q) {
+  int err = 0;
+  {
+    buffer<int> err_buf(&err, 1);
+    q.submit([&](handler &cgh) {
+       accessor<int, 1, access::mode::write, target::device> ERR(err_buf, cgh);
+
+       cgh.parallel_for<class marray_kernel>(
+           nd_range<2>({1, 1 * SG_SZ}, {1, 1 * SG_SZ}),
+           [ERR](nd_item<2> spmd_item) [[sycl::reqd_sub_group_size(SG_SZ)]] {
+             auto sg = spmd_item.get_sub_group();
+
+             joint_matrix<T, matrix_use::a, M, K> sub_a;
+             joint_matrix<T, matrix_use::a, M, K> sub_a_2;
+
+             joint_matrix_fill(sg, sub_a, -1);
+             joint_matrix_fill(sg, sub_a_2, -1);
+
+             auto wi_slice_a = sub_a.get_wi_data();
+             for (int i = 0; i < wi_slice_a.length(); i++) {
+               wi_slice_a[i] = fabs(wi_slice_a[i]);
+             }
+             sub_a_2.wi_marray = fabs(sub_a_2.wi_marray);
+
+             for (int i = 0; i < sub_a_2.wi_marray.size(); i++) {
+               if (sub_a_2.wi_marray[i] != wi_slice_a[i]) {
+                 ERR[0] = 1;
+               }
+             }
+           }); // parallel for
+     }).wait();
+  }
+  assert(err == 0);
+}
+
+int main() {
+
+  queue q;
+  auto computeCapability =
+      std::stof(q.get_device().get_info<sycl::info::device::backend_version>());
+
+  if (computeCapability >= 8.0) {
+    verify_wi_marray<bfloat16, 16, 16>(q);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/elemwise_irreg_size_ops_bf16.cpp b/sycl/test-e2e/Matrix/elemwise_irreg_size_ops_bf16.cpp
new file mode 100644
index 0000000000000..c2dce08d1ec5b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/elemwise_irreg_size_ops_bf16.cpp
@@ -0,0 +1,180 @@
+//==-------- elemwise_irreg_size_ops_bf16.cpp  - DPC++ joint_matrix---- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// This test is for element wise operations when matrix size does not multiply
+// SG size. This corner case only applies to AMX. Also, it tests bf16 type.
+// only run this on AMX
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+// 10x12 is not multiply the sg size, slicing implementation will have to insert
+// padding
+#define TM 10
+#define TN 12
+#define TK 16
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 2);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K / 2, N * 2));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, bfloat16, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, bfloat16, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c;
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K; k += TK) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k, K);
+             // Assume we alreay in vnni format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k) * (N) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           auto wi_slice_c =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_c);
+           for (int i = 0; i < wi_slice_c.length(); i++) {
+             wi_slice_c[i] += 5.0;
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        bfloat16 *va = (bfloat16 *)(A_mem + m * K + k);
+        bfloat16 *vb = (bfloat16 *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+      *((float *)(C_mem + m * N + n)) += 5.0;
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K / 2, MATRIX_N * 2> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/get_coord_bf16_gemm.cpp b/sycl/test-e2e/Matrix/get_coord_bf16_gemm.cpp
new file mode 100644
index 0000000000000..61fac9cc98cd4
--- /dev/null
+++ b/sycl/test-e2e/Matrix/get_coord_bf16_gemm.cpp
@@ -0,0 +1,27 @@
+//==----------- get_coord_bf16_gemm.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL:*
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "get_coord_bf16_gemm_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/get_coord_bf16_gemm_impl.hpp b/sycl/test-e2e/Matrix/get_coord_bf16_gemm_impl.hpp
new file mode 100644
index 0000000000000..8b36f20c27902
--- /dev/null
+++ b/sycl/test-e2e/Matrix/get_coord_bf16_gemm_impl.hpp
@@ -0,0 +1,208 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+// clang-format off
+/*
+Here's how the data is distributed
+W0 --> 0 1 2 3 4 5 6 7
+wi [0,0] -> i=0, [0, 0]        wi [0,1] --> i=0, [0, 1]     wi [0,15] --> i=0, [0, 15]
+            i=1, [1, 0]                     i=1, [1, 1]                   i=1, [1, 15]
+            i=2, [2, 0]                     i=2, [2, 1]                   ...
+            ...                             ....
+            i=7, [7, 0]                     i=7, [7, 1]
+*/
+// clang-format on
+std::tuple<uint32_t, uint32_t> get_coord_ref(int i, int wi_number) {
+  return std::make_tuple(i, wi_number);
+}
+
+float sum_rows[MATRIX_M] = {0};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K / 2, N * 2> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  buffer<float> sum_rows_v(sum_rows, M); // there are total of M rows
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     auto v = sum_rows_v.get_access<access::mode::read_write>(cgh);
+     auto os = sycl::stream(100000, 6144, cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, bfloat16, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, bfloat16, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) { //
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 2) * (N * 2) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+
+           float sum_local_rows[M] = {0}; // 8 local rows, M total
+           auto data =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_c);
+
+           // Keep track of rows handled in this WI
+           int32_t handled_rows[M] = {-1};
+           size_t
+               global_index; // Index into the result array that holds the sums.
+
+           for (int i = 0; i < data.length(); ++i) {
+             auto dataItem = data[i];
+             auto [row, col] = dataItem.get_coord();
+             // get_coord_ref(i, spmd_item.get_local_id(1));
+             global_index = row + global_idx * TM;
+
+             sum_local_rows[global_index] += data[i];
+
+             handled_rows[global_index] = 1;
+           }
+
+           for (int j = 0; j < M; j++) {
+             if (handled_rows[j] == 1) {
+               global_index = j;
+               sum_local_rows[global_index] = reduce_over_group(
+                   sg, sum_local_rows[global_index], sycl::plus<>());
+               // only Groups leader perform the global reduction
+               if (global_idy % SG_SZ == 0) {
+                 sycl::atomic_ref<float, sycl::memory_order::relaxed,
+                                  sycl::memory_scope::device>
+                     aref(v[global_index]);
+                 aref.fetch_add(sum_local_rows[global_index]);
+               }
+             }
+           }
+         }); // parallel for
+   }).wait();
+}
+
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        // Because B was assumed VNNIed
+        bfloat16 *va = (bfloat16 *)(A_mem + m * K + k);
+        bfloat16 *vb = (bfloat16 *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K / 2, MATRIX_N * 2> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  float sum_rows_ref[MATRIX_M] = {0};
+
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      // std::cout << C[i][j] << " ";
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+      sum_rows_ref[i] += C[i][j];
+    }
+    if ((fabs(sum_rows_ref[i]) - fabs(sum_rows[i])) > BF16_EPSILON)
+      res = false;
+    // std::cout << "\n";
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/get_coord_bf16_matA.cpp b/sycl/test-e2e/Matrix/get_coord_bf16_matA.cpp
new file mode 100644
index 0000000000000..e5570c9abb6c4
--- /dev/null
+++ b/sycl/test-e2e/Matrix/get_coord_bf16_matA.cpp
@@ -0,0 +1,27 @@
+//==----------- get_coord_bf16_matA.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL:*
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "get_coord_bf16_matA_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/get_coord_bf16_matA_impl.hpp b/sycl/test-e2e/Matrix/get_coord_bf16_matA_impl.hpp
new file mode 100644
index 0000000000000..3d10598fa27a1
--- /dev/null
+++ b/sycl/test-e2e/Matrix/get_coord_bf16_matA_impl.hpp
@@ -0,0 +1,187 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t K>
+void sum_rows_ref(host_accessor<T, 2, access::mode::read_write> A,
+                  host_accessor<int, 1, access::mode::read_write> sum_rows) {
+  int sum_rows_ref[M] = {0};
+  for (size_t i = 0; i < M; i++) {
+    for (size_t j = 0; j < K; j++) {
+      sum_rows_ref[i] += A[i][j];
+    }
+    auto diff = sum_rows[i] - sum_rows_ref[i];
+    assert(std::fabs(static_cast<int>(diff)) <=
+           std::numeric_limits<int>::epsilon());
+  }
+}
+
+// clang-format off
+/*
+Here's how the data is distributed among work items
+0 0  0 0
+/
+/
+1 1  1 1
+/
+/
+2 2  2 2
+/
+/ 
+3 3  3 3 
+W0 --> 0 0 1 1 2 2 3 3 .... 7 7
+wi [0,0] -> i=0, [0, 0]        wi [0,1] --> i=0, [0, 2]     wi [0,15] --> i=0, [0, 30]
+            i=1, [0, 1]                     i=1, [0, 3]                   i=1, [0, 31]
+            i=2, [1, 0]                     i=2, [1, 2]                   i=2, [1, 30]
+            i=3, [1, 1]                     i=3, [1, 3]                   i=3, [1, 31]
+            i=4, [2, 0]                     i=4, [2, 2]                   ...
+            i=5, [2, 1]                     i=5, [2, 3]
+            ...                             ....
+            i=14,[7, 0]                     i=14, [7, 2]
+            i=15,[7, 1]                     i=15, [7, 3]                  i=15, [7, 31]
+*/
+//clang-format on
+std::tuple<uint32_t, uint32_t> get_coord_ref(int i, int wi_number) {
+  return std::make_tuple(i/2, ((i%2) + (wi_number*2)));
+}
+
+//clang-format off
+/* 
+Here's how the distribution of the A matrix looks like for this test case
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+<---------------------------------  SG1 --------------------------------->
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+x x x x  x x x x    x x x x  x x x x  x x x x  x x x x    x x x x  x x x x
+<0> <1>  <2> <3>    <4> <5>  <6> <7>  ..... WORK ITEMS
+Each work item has 16 elements <8 rows and 2 cols of the original matrix>
+the data_slice in holds the matrix elements in the following order:
+0 0  0 0
+   /
+  /
+1 1  1 1
+   /
+  /
+2 2  2 2
+  /
+ / 
+3 3  3 3 
+W0 --> 0 0 1 1 2 2 3 3 .... 7 7
+*/
+//clang-format on
+template <typename T, size_t M, size_t K>
+void matrix_sum_rows(queue q, big_matrix<T, M, K> &A, nd_range<2> &r) {
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  // size of vector is known because SG size of set by the user in this case
+  int sum_rows[M] = {0};
+  buffer<int> sum_rows_v(sum_rows, M); // there are total of M rows
+  q.submit([&](handler &cgh) {
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+
+     auto v = sum_rows_v.get_access<access::mode::atomic>(cgh);
+     auto os = sycl::stream(100000, 6144, cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+
+           // TM = 8, TK = 32
+          joint_matrix<sub_group, int8_t, use::a, TM, TK, layout::row_major>
+               sub_a;
+
+          joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (global_idx * TM * K) + TK,
+                 K); 
+
+           // calculate sum of rows in sum_rows_v[8], there are 8 rows in sub_a
+           int32_t sum_local_rows[M] = {0}; // 8 local rows, M total
+           // sub_a has 8x32 elements, 16 elements per WI, 2 per WI per row
+          auto data = sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a);
+
+           size_t global_index; // Index into the result array that holds the sums.
+          
+          // Keep track of rows handled in this WI
+          int32_t handled_rows[M] = {-1};
+
+          //  each WI calculates local sum of rows
+          for (int i = 0; i < data.length(); ++i) {
+            // get the index of the element in the submatrix
+            auto data_item = data[i];
+            auto [row, col] = data_item.get_coord();
+            global_index = row + global_idx*TM;
+
+            sum_local_rows[global_index] += data[i];
+
+            handled_rows[global_index] = 1;
+          }
+          
+          for (int j=0; j < M; j++) {
+              if (handled_rows[j] == 1) {
+                global_index = j;
+                sum_local_rows[global_index] = reduce_over_group(
+                    sg, sum_local_rows[global_index],
+                    sycl::plus<>());
+                // only Groups leader perform the global reduction
+                if (global_idy % SG_SZ == 0) {
+                  atomic_fetch_add(v[global_index],
+                                  sum_local_rows[global_index]);
+                }
+              }
+          } 
+         }); // parallel for
+   }).wait();
+  sum_rows_ref<T, M, K>(bufA.get_host_access(), sum_rows_v.get_host_access());
+}
+
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+
+int main() {
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeK = MATRIX_K / TK;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeK * SG_SZ}, {1, 1 * SG_SZ});
+
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i;
+    }
+  }
+
+  matrix_sum_rows<int8_t, MATRIX_M, MATRIX_K>(q, MA, r);
+
+  std::cout << "Passed\n";
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/get_coord_bf16_matB.cpp b/sycl/test-e2e/Matrix/get_coord_bf16_matB.cpp
new file mode 100644
index 0000000000000..d3f89079ce9b1
--- /dev/null
+++ b/sycl/test-e2e/Matrix/get_coord_bf16_matB.cpp
@@ -0,0 +1,27 @@
+//==----------- get_coord_bf16_matB.cpp  - DPC++ joint_matrix---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// XFAIL:*
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "get_coord_bf16_matB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/get_coord_bf16_matB_impl.hpp b/sycl/test-e2e/Matrix/get_coord_bf16_matB_impl.hpp
new file mode 100644
index 0000000000000..8326b986b1f05
--- /dev/null
+++ b/sycl/test-e2e/Matrix/get_coord_bf16_matB_impl.hpp
@@ -0,0 +1,218 @@
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void sum_cols_ref(host_accessor<T, 2, access::mode::read_write> B,
+                  host_accessor<int, 1, access::mode::read_write> sum_cols) {
+  int sum_cols_ref[N] = {0};
+  for (size_t j = 0; j < N; j++) {
+    for (size_t i = 0; i < M; i++) {
+      sum_cols_ref[j] += B[i][j];
+    }
+    auto diff = sum_cols[j] - sum_cols_ref[j];
+    assert(std::fabs(static_cast<int>(diff)) <=
+           std::numeric_limits<int>::epsilon());
+  }
+}
+
+// clang-format off
+/* 
+    Here is a demonstration of how matrix B will be divided across
+    work items for this test case.
+    <    ---------------    128    ---------------------------------->
+    x x x x x x x x x x x x x x x x       ..........    x x x x x x   ^
+    x x x x x x x x x x x x x x x x       ..........    x x x x x x  16
+    x x x x x x x x x x x x x x x x       ..........    x x x x x x   |
+    .....                                                             |
+    x x x x x x x x x x x x x x x x       ..........    x x x x x x   |
+    x x x x x x x x x x x x x x x x       ..........    x x x x x x   v
+    
+    ---------------    64    ---------------->
+    x x x x   x x    ..........    x x  x x x x   ^
+    x x x x   x x    ..........    x x  x x x x   8
+    x x x x   x x    ..........    x x  x x x x   |  <-- part of (VNNI-ed) 
+    .....                                         |   original matrix each SG
+    x x x x   x x    ..........    x x  x x x x   |   holds
+    x x x x   x x    ..........    x x  x x x x   v
+    < WI0 >                            < WI15 >
+    <--------    16    ------------->
+    x x x     ..........    x x x   ^
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   | <-- part of (non-VNNI-ed) original matrix
+    .....                           |           each SG holds
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x  32
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   |
+    x x x     ..........    x x x   v
+    If we dividie the above matrix across 16 (SG_SZ) work items,
+    each WI will hold 32 elements.  And these 32 elements will be
+    8x4 chunks as shown in the VNNI-ed matrix figure. 
+*/
+
+// The total distribution among the WIs in ALL the sub-groups is as follows:
+// This is useful to figure out the the global index is to be calculated
+
+/*
+W0 --> 0 0 0 0   1 1 1 1 ...   7 7 7 7 --> total 32 elements
+wi [0,0] --> i=0, [0, 0]        wi [0,1] --> i=0, [0, 4]     wi [0,15] --> i=0, [0, 60] | wi [0,16] --> i=0, [0, 64]
+            i=1, [0, 1]                     i=1, [0, 5]                   i=1, [0, 61]  |               i=1, [0, 65]
+            i=2, [0, 2]                     i=2, [0, 6]                   i=2, [0, 62]  |               i=2, [0, 66]
+            i=3, [0, 3]                     i=3, [0, 7]                   i=3, [0, 63]  |               i=3, [0, 67]              
+            i=4, [1, 0]                     i=4, [1, 4]                   i=4, [1, 60]  |               ....
+            i=5, [1, 1]                     i=5, [1, 5]                   i=5, [1, 61]  |
+            i=6, [1, 2]                     i=6, [1, 6]                   i=6, [1, 62]  |
+            i=7, [1, 3]                     i=7, [1, 7]                   i=7, [1, 63]  |
+            ...                             ...                           ....          |
+            i=28,[7, 0]                     i=28,[7, 4]                   i=28,[7, 60]  |               i=28, [7, 124]
+            i=29,[7, 1]                     i=29,[7, 5]                   i=29,[7, 61]  |               i=29, [7, 125]
+            i=30,[7, 2]                     i=30,[7, 6]                   i=30,[7, 62]  |               i=30, [7, 126]
+            i=31,[7, 3]                     i=31,[7, 7]                   i=31,[7, 63]  |               i=31, [7, 127]
+---------------------------------------------------------------------------------------- ---------------------------
+wi [1,0] -->    i=0, [8, 0]
+                i=1, [8, 1]
+                i=2, [8, 2]
+                i=3, [8, 2]
+                ...
+                i=28, [15, 0]
+                i=29, [15, 1]
+                i=30, [15, 2]
+                i=31, [15, 3]
+*/
+
+// The following is the distribution among WIs in a SINGLE SG.
+/*
+W0 --> 0 0 0 0   1 1 1 1 ...   7 7 7 7 --> total 32 elements
+wi [0,0] -> i=0, [0, 0]        wi [0,1] --> i=0, [0, 4]     wi [0,15] --> i=0, [0, 60]  | 
+            i=1, [0, 1]                     i=1, [0, 5]                   i=1, [0, 61]  |               
+            i=2, [0, 2]                     i=2, [0, 6]                   i=2, [0, 62]  |               
+            i=3, [0, 3]                     i=3, [0, 7]                   i=3, [0, 63]  |                              
+            i=4, [1, 0]                     i=4, [1, 4]                   i=4, [1, 60]  |
+            i=5, [1, 1]                     i=5, [1, 5]                   i=5, [1, 61]  |
+            i=6, [1, 2]                     i=6, [1, 6]                   i=6, [1, 62]  |
+            i=7, [1, 3]                     i=7, [1, 7]                   i=7, [1, 63]  |
+            ...                             ...                           ....          |
+            i=28,[7, 0]                     i=28,[7, 4]                   i=28,[7, 60]  |
+            i=29,[7, 1]                     i=29,[7, 5]                   i=29,[7, 61]  |
+            i=30,[7, 2]                     i=30,[7, 6]                   i=30,[7, 62]  |
+            i=31,[7, 3]                     i=31,[7, 7]                   i=31,[7, 63]  |
+*/
+// clang-format on
+
+template <typename T, size_t M, size_t N>
+void matrix_sum_cols(queue q, big_matrix<T, M, N> &B, nd_range<2> &r) {
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(M, N));
+  // size of vector is known because SG size of set by the user in this case
+  int sum_cols[N] = {0};
+  buffer<int> sum_cols_v(sum_cols, N); // there are total of tK/4 * 2, 16 rows
+  q.submit([&](handler &cgh) {
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     auto v = sum_cols_v.get_access<access::mode::atomic>(cgh);
+     auto os = sycl::stream(100000, 6144, cgh);
+
+     cgh.parallel_for<class add_matrix>(
+         r, [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+
+           // TK = 32, TN = 16
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+
+           joint_matrix_load(sg, sub_b,
+                             accB.get_pointer() + (global_idx * (TK / 4) * N) +
+                                 sg_starty / SG_SZ * TN * 4,
+                             N);
+
+           int32_t sum_local_cols[N] = {0}; // 4 local cols, N total
+           // sub_b has 32x16 elements, 32 elements per WI, 4 per WI per row
+           auto wiData =
+               sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b);
+
+           size_t
+               global_index; // Index into the result array that holds the sums.
+
+           // Keep track of cols handled in this WI
+           int32_t handled_cols[N] = {-1};
+
+           //  each WI calculates local sum of cols
+           for (int i = 0; i < wiData.length(); ++i) {
+             // get the index of the element in the submatrix
+             auto dataItem = wiData[i];
+             auto [row, col] = dataItem.get_coord();
+
+             // Calculation of global index
+             int sg_idx = (int)global_idy / SG_SZ;
+             global_index = col + sg_idx * 4 /*VNNI_FACTOR*/ * SG_SZ;
+             sum_local_cols[global_index] += wiData[i];
+             handled_cols[global_index] = 1;
+           }
+
+           for (int j = 0; j < N; j++) {
+             if (handled_cols[j] == 1) {
+               global_index = j;
+               sum_local_cols[global_index] = reduce_over_group(
+                   sg, sum_local_cols[global_index], sycl::plus<>());
+               // TODO: Do we need a reduce_over_grp? Adding it does not
+               // make any difference in result
+               atomic_fetch_add(v[global_index], sum_local_cols[global_index]);
+             }
+           }
+         }); // parallel for
+   }).wait();
+  sum_cols_ref<T, M, N>(bufB.get_host_access(), sum_cols_v.get_host_access());
+}
+
+// TK = 32, TN = 16
+static constexpr size_t MATRIX_K = TK / 4 * 2; // 16
+static constexpr size_t MATRIX_N = TN * 4 * 2; // 128
+int8_t B[MATRIX_K][MATRIX_N];
+
+/* <    ---------------    128    ---------------------------------->
+   x x x x x x x x x x x x x x x x       ..........    x x x x x x   ^
+   x x x x x x x x x x x x x x x x       ..........    x x x x x x  16
+   x x x x x x x x x x x x x x x x       ..........    x x x x x x   |
+   .....                                                             |
+   x x x x x x x x x x x x x x x x       ..........    x x x x x x   |
+   x x x x x x x x x x x x x x x x       ..........    x x x x x x   v
+*/
+int main() {
+  big_matrix<int8_t, MATRIX_K, MATRIX_N> MB((int8_t *)&B);
+
+  size_t NDRangeK = MATRIX_K / (TK / 4);
+  size_t NDRangeN = (MATRIX_N / 4) / TN;
+  queue q;
+  nd_range<2> r({NDRangeK, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = i;
+    }
+  }
+
+  matrix_sum_cols<int8_t, MATRIX_K, MATRIX_N>(q, MB, r);
+
+  std::cout << "Passed\n";
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_apply_bf16.cpp b/sycl/test-e2e/Matrix/joint_matrix_apply_bf16.cpp
new file mode 100644
index 0000000000000..aef6e60400c5f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_apply_bf16.cpp
@@ -0,0 +1,24 @@
+//==----------- joint_matrix_apply_bf16.cpp  - DPC++ joint_matrix-----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <random>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_apply_bf16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_apply_bf16_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_apply_bf16_impl.hpp
new file mode 100644
index 0000000000000..50752ad774e9f
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_apply_bf16_impl.hpp
@@ -0,0 +1,95 @@
+
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+static float make_fp32(bfloat16 x) {
+  unsigned int y = sycl::bit_cast<uint16_t>(x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T> struct apply_add {
+  void operator()(T &x) const { x = x + bfloat16(2); }
+};
+
+template <typename T, size_t M, size_t N, typename F>
+void matrix_verify_add(queue q, big_matrix<T, M, N> &A, nd_range<2> &r,
+                       const float ref, F &&lambda) {
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, N));
+
+  q.submit([&](handler &cgh) {
+     accessor accA{bufA, cgh};
+
+     cgh.parallel_for(r, [accA, lambda](
+                             nd_item<2> spmd_item) [[intel::reqd_sub_group_size(
+                             SG_SZ)]] {
+       const auto global_idx = spmd_item.get_global_id(0);
+       const auto global_idy = spmd_item.get_global_id(1);
+       const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+       const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+       sub_group sg = spmd_item.get_sub_group();
+       joint_matrix<sub_group, T, use::a, TM, TK, layout::row_major> sub_a;
+
+       joint_matrix_fill(sg, sub_a, bfloat16(5.0));
+
+       joint_matrix_apply(sg, sub_a, lambda);
+
+       ext::intel::experimental::matrix::joint_matrix_store(
+           sg, sub_a,
+           accA.get_pointer() + (sg_startx * TM) * N + sg_starty / SG_SZ * TN,
+           N);
+     }); // parallel for
+   }).wait();
+  // Check if the results are correct
+  {
+    host_accessor Acc{bufA};
+    assert(std::all_of(Acc.begin(), Acc.end(), [=](auto Elem) {
+      return (std::fabs(static_cast<float>(make_fp32(Elem) - ref)) <
+              std::numeric_limits<float>::epsilon());
+    }));
+  }
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+bfloat16 A[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+void matrix_ops_ref(float *D, int M, int N) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      *(D + m * N + n) = 0;
+      *(D + m * N + n) *= 2;
+    }
+}
+
+int main() {
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_N> MA((bfloat16 *)&A);
+
+  size_t NDRangeM = MATRIX_M / TM;
+  size_t NDRangeN = MATRIX_N / TN;
+  queue q;
+  nd_range<2> r({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ});
+
+  matrix_verify_add<bfloat16, MATRIX_M, MATRIX_N>(
+      q, MA, r, 7.0, [=](bfloat16 &x) { x = x + bfloat16(2); });
+  matrix_verify_add<bfloat16, MATRIX_M, MATRIX_N>(q, MA, r, 7.0,
+                                                  apply_add<bfloat16>());
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_apply_cuda.cpp b/sycl/test-e2e/Matrix/joint_matrix_apply_cuda.cpp
new file mode 100644
index 0000000000000..5041e7a2150bd
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_apply_cuda.cpp
@@ -0,0 +1,124 @@
+//==------------ joint_matrix_apply_cuda.cpp  - DPC++ joint_matrix----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xsycl-target-backend --cuda-gpu-arch=sm_80 %s -o %t.out
+// RUN: %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 32
+constexpr size_t nWGperDim = 2;
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N>
+class KernelName;
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T, size_t M, size_t N>
+void assert_ref(T *C, const float ref) {
+  for (size_t i = 0; i < M; i++)
+    for (size_t j = 0; j < N; j++) {
+      auto diff = C[i + j * M] - ref;
+      assert(std::fabs(static_cast<float>(diff)) <
+             std::numeric_limits<float>::epsilon());
+    }
+}
+
+template <typename T, typename T2, size_t M, size_t K, size_t N, typename F>
+void matrix_verify_lambda(queue q,
+                          big_matrix<T2, M * nWGperDim, N * nWGperDim> &C,
+                          nd_range<2> &r, const float ref, F &&lambda) {
+  {
+    buffer<T2, 2> bufC(C.get_data(), range<2>(N * nWGperDim, M * nWGperDim));
+
+    q.submit([&](handler &cgh) {
+      accessor<T2, 2, access::mode::read_write, target::device> accC(bufC, cgh);
+
+      cgh.parallel_for<KernelName<T, T2, M, K, N>>(
+          r, [accC, lambda](
+                 nd_item<2> spmd_item) [[sycl::reqd_sub_group_size(SG_SZ)]] {
+            const auto global_idx = spmd_item.get_global_id(0);
+            const auto global_idy = spmd_item.get_global_id(1);
+            const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+            const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+            auto sg = spmd_item.get_sub_group();
+
+            joint_matrix<sub_group, T, use::a, M, K, layout::row_major> sub_a;
+            joint_matrix<sub_group, T, use::b, K, N, layout::row_major> sub_b;
+            joint_matrix<sub_group, T2, use::accumulator, M, N> sub_c;
+
+            joint_matrix_fill(sg, sub_a, 3);
+            joint_matrix_fill(sg, sub_b, 1);
+            joint_matrix_fill(sg, sub_c, -80);
+
+            joint_matrix_apply(sg, sub_a, lambda);
+
+            sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+
+            joint_matrix_store(sg, sub_c,
+                               accC.get_pointer() +
+                                   (sg_startx * M) * (N * nWGperDim) +
+                                   sg_starty / SG_SZ * N,
+                               (N * nWGperDim), layout::row_major);
+          }); // parallel for
+    });
+  }
+  assert_ref<T2, M * nWGperDim, N * nWGperDim>(C.get_data(), ref);
+}
+
+static constexpr size_t MATRIX_M = 16 * nWGperDim;
+static constexpr size_t MATRIX_N = 16 * nWGperDim;
+
+int main() {
+
+  float D[MATRIX_M][MATRIX_N];
+  big_matrix<float, MATRIX_M, MATRIX_N> MD_f((float *)&D);
+
+  queue q;
+  auto computeCapability =
+      std::stof(q.get_device().get_info<sycl::info::device::backend_version>());
+  nd_range<2> r({nWGperDim, nWGperDim * SG_SZ}, {1, 1 * SG_SZ});
+
+  auto apply_add = [](auto &x) { x = x + 2; };
+
+  if (computeCapability >= 7.0) {
+    matrix_verify_lambda<half, float, 16, 16, 16>(q, MD_f, r, 0.0, apply_add);
+  }
+
+  if (computeCapability >= 7.2) {
+    int32_t D_i[MATRIX_M][MATRIX_N];
+    big_matrix<int32_t, MATRIX_M, MATRIX_N> MD_i((int32_t *)&D_i);
+    matrix_verify_lambda<uint8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0,
+                                                       apply_add);
+    matrix_verify_lambda<int8_t, int32_t, 16, 16, 16>(q, MD_i, r, 0, apply_add);
+  }
+
+  if (computeCapability >= 8.0) {
+    matrix_verify_lambda<bfloat16, float, 16, 16, 16>(q, MD_f, r, 0.0,
+                                                      apply_add);
+
+    double D_d[MATRIX_M / 2][MATRIX_N / 2];
+    big_matrix<double, 8 * nWGperDim, 8 * nWGperDim> MD_d((double *)&D_d);
+
+    matrix_verify_lambda<double, double, 8, 4, 8>(q, MD_d, r, -60.0, apply_add);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16.cpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16.cpp
new file mode 100644
index 0000000000000..77f1be403d736
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16.cpp
@@ -0,0 +1,23 @@
+//==-------- joint_matrix_bfloat16.cpp  - DPC++ joint_matrix----------- ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_32x64.cpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_32x64.cpp
new file mode 100644
index 0000000000000..5c955ec422597
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_32x64.cpp
@@ -0,0 +1,25 @@
+//==----- joint_matrix_bfloat16_32x64.cpp  - DPC++ joint_matrix-------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: *
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_32x64_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_32x64_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_32x64_impl.hpp
new file mode 100644
index 0000000000000..c0aff3dcd3f81
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_32x64_impl.hpp
@@ -0,0 +1,143 @@
+#define TM 32
+#define TN 64
+#define TK 16
+
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K / 2, N * 2> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, bfloat16, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, bfloat16, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) { //
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 2) * (N * 2) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        bfloat16 *va = (bfloat16 *)(A_mem + m * K + k);
+        bfloat16 *vb = (bfloat16 *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K / 2, MATRIX_N * 2> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_colmajorA_colmajorB.cpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_colmajorA_colmajorB.cpp
new file mode 100644
index 0000000000000..7f6b5c9e4f972
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_colmajorA_colmajorB.cpp
@@ -0,0 +1,28 @@
+//==-- joint_matrix_bfloat16_colmajorA_colmajorB.cpp  - DPC++ joint_matrix--==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This tests support of col major layout for matrix B which does transpose and
+// then VNNI transform. This is currently only available on AMX
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp
new file mode 100644
index 0000000000000..49c082278c880
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp
@@ -0,0 +1,131 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K, N> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, bfloat16, use::a, TM, TK, layout::col_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, bfloat16, use::b, TK, TN, layout::col_major>
+               sub_b;
+           joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (k * TK) * M + sg_startx * TM,
+                 M);
+             joint_matrix_load(
+                 sg, sub_b,
+                 accB.get_pointer() + (sg_starty / SG_SZ * TN) * K + k * TK, K);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_K][MATRIX_M];
+bfloat16 B[MATRIX_N][MATRIX_K];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        D[m][n] += make_fp32(A[k][m]) * make_fp32(B[n][k]);
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_M; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_N; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K, MATRIX_N> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_impl.hpp
new file mode 100644
index 0000000000000..dd49a6e808c92
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_impl.hpp
@@ -0,0 +1,143 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K / 2, N * 2> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, bfloat16, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, bfloat16, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) { //
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 2) * (N * 2) +
+                                   sg_starty / SG_SZ * TN * 2,
+                               N * 2);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K / 2][MATRIX_N * 2];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int *A_mem, int *B_mem, int *C_mem, int M, int N,
+                         int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        // Because B was assumed VNNIed
+        bfloat16 *va = (bfloat16 *)(A_mem + m * K + k);
+        bfloat16 *vb = (bfloat16 *)(B_mem + k * N + n);
+        float acc = *((float *)(C_mem + m * N + n));
+        for (int i = 0; i < 2; i++) {
+          acc += (make_fp32(va[i]) * make_fp32(vb[i]));
+        }
+        *((float *)(C_mem + m * N + n)) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 2; i++) {
+    for (int j = 0; j < MATRIX_N * 2; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K / 2, MATRIX_N * 2> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 2);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp
new file mode 100644
index 0000000000000..ae2bd6b99b58b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp
@@ -0,0 +1,28 @@
+//==--joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp  - DPC++ joint_matrix---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This tests support of row major layout for matrix B which does automatic VNNI
+// transform. This is currently only available on AMX
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp
new file mode 100644
index 0000000000000..776dd1d8a62ed
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp
@@ -0,0 +1,132 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 16
+#define BF16_EPSILON 0.00781250
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K, N> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, bfloat16, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, bfloat16, use::b, TK, TN, layout::row_major>
+               sub_b;
+           joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK) * (N) +
+                                   sg_starty / SG_SZ * TN,
+                               N);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+bfloat16 A[MATRIX_M][MATRIX_K];
+bfloat16 B[MATRIX_K][MATRIX_N];
+float C[MATRIX_M][MATRIX_N];
+float D[MATRIX_M][MATRIX_N];
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+void matrix_multiply_ref(int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        D[m][n] += make_fp32(A[m][k]) * make_fp32(B[k][n]);
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = bfloat16(1.0f * (i + j));
+    }
+  }
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1.0;
+      D[i][j] = 1.0;
+    }
+  }
+
+  big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C);
+  big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D);
+  big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A);
+  big_matrix<bfloat16, MATRIX_K, MATRIX_N> MB((bfloat16 *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON)
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_half.cpp b/sycl/test-e2e/Matrix/joint_matrix_half.cpp
index 1d131a64a8816..be0bf1487c777 100644
--- a/sycl/test-e2e/Matrix/joint_matrix_half.cpp
+++ b/sycl/test-e2e/Matrix/joint_matrix_half.cpp
@@ -5,7 +5,7 @@
 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 //
 //===----------------------------------------------------------------------===//
-// REQUIRES: matrix
+// REQUIRES: matrix,gpu
 
 // RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
 // Only run on the GPU because half is not supported on AMX hardware
diff --git a/sycl/test-e2e/Matrix/joint_matrix_int8_colmajorA_colmajorB.cpp b/sycl/test-e2e/Matrix/joint_matrix_int8_colmajorA_colmajorB.cpp
new file mode 100644
index 0000000000000..c572e53c34520
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_int8_colmajorA_colmajorB.cpp
@@ -0,0 +1,27 @@
+//==----- joint_matrix_int8_colmajorA_colmajorB.cpp  - DPC++ joint_matrix---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This tests support of col major layout for matrix B which does transpose and
+// then VNNI transform. This is currently only available on AMX
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_int8_colmajorA_colmajorB_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_int8_colmajorA_colmajorB_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_int8_colmajorA_colmajorB_impl.hpp
new file mode 100644
index 0000000000000..d9e01baba219b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_int8_colmajorA_colmajorB_impl.hpp
@@ -0,0 +1,130 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::a, TM, TK, layout::col_major>
+               sub_a;
+           joint_matrix<sub_group, int8_t, use::b, TK, TN, layout::col_major>
+               sub_b;
+           joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_fill(sg, sub_c, 0);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (k * TK) * M + sg_startx * TM,
+                 M);
+             joint_matrix_load(
+                 sg, sub_b,
+                 accB.get_pointer() + (sg_starty / SG_SZ * TN) * K + k * TK, K);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM;
+static constexpr size_t MATRIX_N = TN;
+static constexpr size_t MATRIX_K = TK;
+int8_t A[MATRIX_K][MATRIX_M];
+int8_t Aref[MATRIX_K][MATRIX_M];
+int8_t B[MATRIX_N][MATRIX_K];
+int8_t Bref[MATRIX_N][MATRIX_K];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        D[m][n] += Aref[k][m] * Bref[n][k];
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_M; j++) {
+      A[i][j] = 2 * i + j;
+      Aref[i][j] = 2 * i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_N; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      B[i][j] = i + 2 * j;
+      Bref[i][j] = i + 2 * j;
+    }
+  }
+
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 0;
+      D[i][j] = 0;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K, MATRIX_N> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_int8_vnni.cpp b/sycl/test-e2e/Matrix/joint_matrix_int8_vnni.cpp
new file mode 100644
index 0000000000000..f8ae1a8cf7760
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_int8_vnni.cpp
@@ -0,0 +1,24 @@
+//==-------- joint_matrix_bf16_vnni.cpp  - DPC++ joint_matrix---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// XFAIL: gpu
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_int8_vnni_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_int8_vnni_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_int8_vnni_impl.hpp
new file mode 100644
index 0000000000000..e8973ba154efb
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_int8_vnni_impl.hpp
@@ -0,0 +1,154 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::a, TM, TK, layout::row_major>
+               sub_a;
+           joint_matrix<sub_group, int8_t, use::b, TK, TN, layout::row_major>
+               sub_b;
+           joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_fill(sg, sub_c, 0);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             // VNNI transform is done automatically at this level
+             joint_matrix_load(
+                 sg, sub_b,
+                 accB.get_pointer() + (k * TK) * N + sg_starty / SG_SZ * TN, N);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K][MATRIX_N];
+int8_t Bvnni[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void int8_row_vnni_reformat(int8_t *_in, int8_t *_out, int K, int N,
+                            int stride_in) {
+  // find the old index, new index, and copy element.
+  //(K, N) => (k/4, N*4)
+  // idx in 2d: (i,j)=>(i/4, j*4+i%4)
+  // linear idx:
+  for (int i = 0; i < K; ++i) {
+    for (int j = 0; j < N; ++j) {
+      size_t oldindex = i * stride_in + j;
+      size_t newindex = (i / 4) * N * 4 + j * 4 + i % 4;
+      _out[newindex] = _in[oldindex];
+    }
+  }
+}
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      B[i][j] = i + j * 2;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 0;
+      D[i][j] = 0;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  int8_row_vnni_reformat((int8_t *)B, (int8_t *)Bvnni, MATRIX_K, MATRIX_N,
+                         MATRIX_N);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)Bvnni, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_query_default.cpp b/sycl/test-e2e/Matrix/joint_matrix_query_default.cpp
new file mode 100644
index 0000000000000..8ec28943f5200
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_query_default.cpp
@@ -0,0 +1,166 @@
+//==-------- joint_matrix_query_default.cpp  - DPC++ joint_matrix-----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+
+  using myparams2 = tpu_params<tpu::amx, int8_t, int8_t, int>;
+  constexpr int TM = myparams2::M;
+  constexpr int TN = myparams2::N;
+  constexpr int TK = myparams2::K;
+
+  std::cout << "AMX query sizes are: M " << TM << " N " << TN << " K " << TK
+            << std::endl;
+
+  constexpr int SG_SZ = TN;
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           ext::oneapi::sub_group sg = spmd_item.get_sub_group();
+
+           myparams2::joint_matrix_a<sub_group, layout::row_major> sub_a;
+           myparams2::joint_matrix_b<
+               sub_group, ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           myparams2::joint_matrix_accumulator<sub_group> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = 128;
+static constexpr size_t MATRIX_N = 128;
+static constexpr size_t MATRIX_K = 128;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_ss_int8.cpp b/sycl/test-e2e/Matrix/joint_matrix_ss_int8.cpp
new file mode 100644
index 0000000000000..860e590357ddd
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_ss_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_ss_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_ss_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_ss_int8_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_ss_int8_impl.hpp
new file mode 100644
index 0000000000000..172789f085e02
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_ss_int8_impl.hpp
@@ -0,0 +1,139 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_fill(sg, sub_c, 0);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        char *va = (char *)(A_mem + m * K + k);
+        char *vb = (char *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (va[i] * vb[i]);
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 0;
+      D[i][j] = 0;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_su_int8.cpp b/sycl/test-e2e/Matrix/joint_matrix_su_int8.cpp
new file mode 100644
index 0000000000000..bd89977fc3454
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_su_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_su_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_su_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_su_int8_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_su_int8_impl.hpp
new file mode 100644
index 0000000000000..2b6cb314f1676
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_su_int8_impl.hpp
@@ -0,0 +1,142 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, typename T3, size_t NUM_ROWS_A,
+          size_t NUM_COLS_A, size_t NUM_ROWS_B, size_t NUM_COLS_B,
+          size_t NUM_ROWS_C, size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T3, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<uint8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, int8_t, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, uint8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+int8_t A[MATRIX_M][MATRIX_K];
+uint8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        int8_t *va = (int8_t *)(A_mem + m * K + k);
+        uint8_t *vb = (uint8_t *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (static_cast<int>(va[i]) * static_cast<int>(vb[i]));
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<int8_t, MATRIX_M, MATRIX_K> MA((int8_t *)&A);
+  big_matrix<uint8_t, MATRIX_K / 4, MATRIX_N * 4> MB((uint8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_tensorcores.cpp b/sycl/test-e2e/Matrix/joint_matrix_tensorcores.cpp
new file mode 100644
index 0000000000000..2f29bb06675f8
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_tensorcores.cpp
@@ -0,0 +1,281 @@
+
+// REQUIRES: cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xsycl-target-backend --cuda-gpu-arch=sm_80 -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4 %s -o %t.out
+// RUN: %t.out
+//
+// This tests the latest unified matrix extension interfaces.
+// Specifying the sm version via the --cuda-gpu-arch flag is necessary
+// for the Nvidia case.  DPC++ JIT compilation is not
+// supported for the Nvidia matrix extension, although some JIT optimizations
+// are performed at the level of the PTX assembly code.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental::matrix;
+constexpr float bf16_eps = 0.00390625;
+
+// Example usage of Nvidia matrix multiply.
+// Optimizations such as memory paddings for avoiding bank conflicts are not
+// included in this test which aids clarity for what is going on. This example
+// forms a "Big matrix" corresponding to a single "TILE" using cuda example
+// terminology.  Multiple TILES can be used to construct yet larger matrices.
+// This example uses row_major a, b, and accumulator matrices.
+
+// M, N, K define the unit sizes of dimensions of the three types (a, b,
+// accumulator) of matrices per subgroup operation:
+// M: number of rows of "C"/"D" (Accumulator) sub-matrices,
+// number of cols of "B" sub-matrix.
+// N: number of cols of "C"/"D" (Accumulator) sub-matrices,
+// number of rows of "A" sub-matrix.
+// K: number of cols of "A"/number of rows of "B" sub-matrices.
+
+// the number of threads per MMA subgroup is always 32 for Nvidia.
+constexpr int N_THREADS_PER_MATRIX_OP = 32;
+
+// number of submatrices per row of accumulator ("C", "D") matrices.
+constexpr int SUB_TILES_M = 2;
+// number of submatrices per col of accumulator matrices.
+constexpr int SUB_TILES_N = 3;
+// number of submatrices per col of "A"/per row of "B", matrices.
+constexpr int SUB_TILES_K = 4;
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N>
+class TypeHelper;
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N>
+using KernelName = class TypeHelper<T1, T2, M, K, N>;
+
+template <size_t Big_N, size_t Big_K, typename T1, typename T2>
+T2 matrix_ref_mn(const int &m, const int &n, T1 *A, T1 *B, T2 *C) {
+  T2 res = C[m * Big_N + n];
+
+  if constexpr (std::is_same<T1, bfloat16>::value) {
+    for (int k = 0; k < Big_K; k++)
+      res += A[m * Big_K + k] * B[k * Big_N + n];
+  } else {
+    for (int k = 0; k < Big_K; k++)
+      res +=
+          static_cast<T2>(A[m * Big_K + k]) * static_cast<T2>(B[k * Big_N + n]);
+  }
+
+  return res;
+}
+
+template <typename T1, typename T2, size_t Sub_Tiles_M, size_t Sub_Tiles_K,
+          size_t Sub_Tiles_N, size_t M, size_t K, size_t N,
+          typename T3 = std::remove_const_t<T1>>
+void test(queue &q) {
+  // total number of M dimension matrix elements for the "Big matrix".
+  constexpr auto Big_M = Sub_Tiles_M * M;
+  // total number of N dimension matrix elements for the "Big matrix".
+  constexpr auto Big_N = Sub_Tiles_N * N;
+  // total number of K dimension matrix elements for the "Big matrix".
+  constexpr auto Big_K = Sub_Tiles_K * K;
+
+  std::remove_const_t<T1> A[Big_M * Big_K];
+  std::remove_const_t<T1> B[Big_K * Big_N];
+  std::remove_const_t<T2> C[Big_M * Big_N];
+  std::remove_const_t<T2> D[Big_M * Big_N];
+
+  for (int i = 0; i < Big_M * Big_N; i++) {
+    C[i] = 1;
+    D[i] = 0;
+  }
+
+  if constexpr (!std::is_same<std::remove_const_t<T1>, bfloat16>::value) {
+    for (int i = 0; i < Big_M * Big_K; i++) {
+      A[i] = i % 100;
+    }
+
+    for (int i = 0; i < Big_K * Big_N; i++) {
+      B[i] = i % 100;
+    }
+  }
+  {
+    if constexpr (std::is_same<std::remove_const_t<T1>, bfloat16>::value) {
+
+      buffer<bfloat16, 1> bufA(A, range<1>(Big_M * Big_K));
+      buffer<bfloat16, 1> bufB(B, range<1>(Big_K * Big_N));
+      q.submit([&](handler &cgh) {
+        accessor<bfloat16, 1, access::mode::write, target::device> accA(bufA,
+                                                                        cgh);
+
+        cgh.parallel_for<KernelName<T1, class copyA, M, K, N>>(
+            range<1>(Big_M * Big_K), [=](item<1> item) {
+              auto i = item.get_linear_id();
+              accA[i] = 0.1f * (i % 10);
+            });
+      });
+      q.submit([&](handler &cgh) {
+        accessor<bfloat16, 1, access::mode::write, target::device> accB(bufB,
+                                                                        cgh);
+
+        cgh.parallel_for<KernelName<T1, class copyB, M, K, N>>(
+            range<1>(Big_K * Big_N), [=](item<1> item) {
+              auto i = item.get_linear_id();
+              accB[i] = 0.1f * (i % 10);
+            });
+      });
+    }
+
+    buffer<T1, 1> bufA(A, range<1>(Big_M * Big_K));
+    buffer<T1, 1> bufB(B, range<1>(Big_K * Big_N));
+    buffer<T2, 1> bufC(C, range<1>(Big_M * Big_N));
+    buffer<std::remove_const_t<T2>, 1> bufD(D, range<1>(Big_M * Big_N));
+
+    q.submit([&](handler &cgh) {
+      accessor<T1, 1, access::mode::read, target::device> accA(bufA, cgh);
+      accessor<T1, 1, access::mode::read, target::device> accB(bufB, cgh);
+      accessor<T2, 1, access::mode::read, target::device> accC(bufC, cgh);
+      accessor<std::remove_const_t<T2>, 1, access::mode::write, target::device>
+          accD(bufD, cgh);
+
+      range<2> LocalRange = {1, N_THREADS_PER_MATRIX_OP};
+      range<2> GlobalRange = {Sub_Tiles_M,
+                              Sub_Tiles_N * N_THREADS_PER_MATRIX_OP};
+
+      cgh.parallel_for<KernelName<T1, T2, M, K, N>>(
+          nd_range<2>(GlobalRange, LocalRange), [=](nd_item<2> item) {
+            sub_group sg = item.get_sub_group();
+            // row id of current submatrix of BIG C matrix
+            const auto m = item.get_group().get_group_id()[0];
+            // column id of current submatrix of BIG C matrix
+            const auto n = item.get_group().get_group_id()[1];
+
+            joint_matrix<sub_group, T3, use::a, M, K, layout::row_major> sub_a;
+            joint_matrix<sub_group, T3, use::b, K, N, layout::row_major> sub_b;
+            joint_matrix<sub_group, std::remove_const_t<T2>, use::accumulator,
+                         M, N>
+                sub_c;
+
+            joint_matrix_load(sg, sub_c,
+                              accC.get_pointer() + (m * M) * Big_N + n * N,
+                              Big_N, layout::row_major);
+            // k = row/col id of current submatrix of BIG A/B matrices
+            for (int k = 0; k < Sub_Tiles_K; k++) {
+              joint_matrix_load(sg, sub_a,
+                                accA.get_pointer() + (k * K) + (m * M * Big_K),
+                                Big_K);
+
+              joint_matrix_load(sg, sub_b,
+                                accB.get_pointer() + (k * K * Big_N) + (n * N),
+                                Big_N);
+
+              // round values to correct precision if using tf32
+              if constexpr (std::is_same<T3, precision::tf32>::value) {
+                auto wi_size = get_wi_data(sg, sub_a).length();
+                assert(wi_size == get_wi_data(sg, sub_b).length());
+                for (auto i = 0; i < wi_size; ++i) {
+                  get_wi_data(sg, sub_a)[i] =
+                      round_to_tf32(get_wi_data(sg, sub_a)[i]);
+                  get_wi_data(sg, sub_b)[i] =
+                      round_to_tf32(get_wi_data(sg, sub_b)[i]);
+                }
+              }
+
+              sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+            }
+            joint_matrix_store(sg, sub_c,
+                               accD.get_pointer() + (m * M) * Big_N + n * N,
+                               Big_N, layout::row_major);
+          });
+    });
+    q.wait();
+  }
+
+  for (int m = 0; m < Big_M; m++) {
+    for (int n = 0; n < Big_N; n++) {
+      if constexpr (std::is_same<std::remove_const_t<T1>, bfloat16>::value) {
+        auto res_device = matrix_ref_mn<Big_N, Big_K>(m, n, A, B, C);
+        assert(fabs(2 * (D[m * Big_N + n] - res_device)) /
+                   (D[m * Big_N + n] + res_device) <
+               bf16_eps * 2);
+      } else {
+        assert(
+            (D[m * Big_N + n] == matrix_ref_mn<Big_N, Big_K>(m, n, A, B, C)));
+      }
+    }
+  }
+};
+
+int main() {
+
+  queue Q;
+  auto computeCapability =
+      std::stof(Q.get_device().get_info<sycl::info::device::backend_version>());
+
+  if (computeCapability >= 7.0) {
+    // A/B half, Accumulator float
+    test<half, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<half, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<half, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const half, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16,
+         16>(Q);
+    test<const half, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16,
+         32>(Q);
+    test<const half, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16,
+         8>(Q);
+
+    // A/B/Accumulator half
+    test<half, half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<half, half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<half, half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const half, const half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16,
+         16>(Q);
+    test<const half, const half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16,
+         32>(Q);
+    test<const half, const half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16,
+         8>(Q);
+  }
+  if (computeCapability >= 7.2) {
+    test<int8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<int8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<int8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const int8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16,
+         16, 16>(Q);
+    test<const int8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const int8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32,
+         16, 8>(Q);
+
+    test<uint8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(
+        Q);
+    test<uint8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<uint8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const uint8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N,
+         16, 16, 16>(Q);
+    test<const uint8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const uint8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N,
+         32, 16, 8>(Q);
+  }
+  if (computeCapability >= 8.0) {
+    test<double, double, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 4, 8>(Q);
+    test<const double, const double, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         4, 8>(Q);
+
+    test<bfloat16, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<bfloat16, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<bfloat16, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const bfloat16, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16,
+         16, 16>(Q);
+    test<const bfloat16, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const bfloat16, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32,
+         16, 8>(Q);
+
+    // A/B tf32
+    test<float, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 8, 16,
+         precision::tf32>(Q);
+    test<const float, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 8,
+         16, precision::tf32>(Q);
+  }
+  return 0;
+};
diff --git a/sycl/test-e2e/Matrix/joint_matrix_tensorcores_legacy.cpp b/sycl/test-e2e/Matrix/joint_matrix_tensorcores_legacy.cpp
new file mode 100644
index 0000000000000..2167c4930b417
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_tensorcores_legacy.cpp
@@ -0,0 +1,322 @@
+// REQUIRES: cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -Xsycl-target-backend --cuda-gpu-arch=sm_80 -DSYCL_EXT_ONEAPI_MATRIX_VERSION=3 %s -o %t.out
+// RUN: %t.out
+//
+// This tests the deprecated legacy matrix extension interfaces
+// Specifying the sm version via the --cuda-gpu-arch flag is necessary
+// for the Nvidia case.  DPC++ JIT compilation is not
+// supported for the Nvidia matrix extension, although some JIT optimizations
+// are performed at the level of the PTX assembly code.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi;
+using namespace sycl::ext::oneapi::experimental::matrix;
+constexpr float bf16_eps = 0.00390625;
+
+// Example usage of Nvidia matrix multiply.
+// Optimizations such as memory paddings for avoiding bank conflicts are not
+// included in this test which aids clarity for what is going on. This example
+// forms a "Big matrix" corresponding to a single "TILE" using cuda example
+// terminology.  Multiple TILES can be used to construct yet larger matrices.
+// This example uses row_major a, b, and accumulator matrices.
+
+// M, N, K define the unit sizes of dimensions of the three types (a, b,
+// accumulator) of matrices per subgroup operation:
+// M: number of rows of "C"/"D" (Accumulator) sub-matrices,
+// number of cols of "B" sub-matrix.
+// N: number of cols of "C"/"D" (Accumulator) sub-matrices,
+// number of rows of "A" sub-matrix.
+// K: number of cols of "A"/number of rows of "B" sub-matrices.
+
+constexpr int N_THREADS_PER_MATRIX_OP =
+    32; // the number of threads per MMA subgroup is always 32 for Nvidia.
+
+constexpr int SUB_TILES_M =
+    2; // number of submatrices per row of accumulator ("C", "D") matrices.
+constexpr int SUB_TILES_N =
+    3; // number of submatrices per col of accumulator matrices.
+constexpr int SUB_TILES_K =
+    4; // number of submatrices per col of "A"/per row of "B", matrices.
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N>
+class TypeHelper;
+
+template <typename T1, typename T2, size_t M, size_t K, size_t N>
+using KernelName = class TypeHelper<T1, T2, M, K, N>;
+
+float make_fp32(uint16_t x) {
+  uint32_t y = x;
+  y = y << 16;
+  auto res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+uint16_t make_bf16(float x) {
+  auto res = reinterpret_cast<int32_t *>(&x);
+  *res = *res >> 16;
+  return (uint16_t)*res;
+}
+
+template <size_t Big_N, size_t Big_K, typename T1, typename T2>
+T2 matrix_ref_mn(const int &m, const int &n, T1 *A, T1 *B, T2 *C) {
+  T2 res = C[m * Big_N + n];
+
+  if constexpr (std::is_same<T1, uint16_t>::value) {
+    for (int k = 0; k < Big_K; k++)
+      res += make_fp32(A[m * Big_K + k]) * make_fp32(B[k * Big_N + n]);
+  } else {
+    for (int k = 0; k < Big_K; k++)
+      res +=
+          static_cast<T2>(A[m * Big_K + k]) * static_cast<T2>(B[k * Big_N + n]);
+  }
+
+  return res;
+}
+
+template <typename T1, typename T2, size_t Sub_Tiles_M, size_t Sub_Tiles_K,
+          size_t Sub_Tiles_N, size_t M, size_t K, size_t N,
+          typename T3 = std::remove_const_t<T1>>
+void test(queue &q) {
+
+  constexpr auto Big_M =
+      Sub_Tiles_M *
+      M; // total number of M dimension matrix elements for the "Big matrix".
+  constexpr auto Big_N =
+      Sub_Tiles_N *
+      N; // total number of N dimension matrix elements for the "Big matrix".
+  constexpr auto Big_K =
+      Sub_Tiles_K *
+      K; // total number of K dimension matrix elements for the "Big matrix".
+
+  std::remove_const_t<T1> A[Big_M * Big_K];
+  std::remove_const_t<T1> B[Big_K * Big_N];
+  std::remove_const_t<T2> C[Big_M * Big_N];
+  std::remove_const_t<T2> D[Big_M * Big_N];
+
+  for (int i = 0; i < Big_M * Big_N; i++) {
+    C[i] = 1;
+    D[i] = 0;
+  }
+
+  if constexpr (std::is_same<std::remove_const_t<T1>, uint16_t>::value) {
+    for (int i = 0; i < Big_M * Big_K; i++) {
+      A[i] = make_bf16(0.1f * (i % 10));
+    }
+
+    for (int i = 0; i < Big_K * Big_N; i++) {
+      B[i] = make_bf16(0.1f * (i % 10));
+    }
+  } else if constexpr (!std::is_same<std::remove_const_t<T1>,
+                                     bfloat16>::value) {
+    for (int i = 0; i < Big_M * Big_K; i++) {
+      A[i] = i % 100;
+    }
+
+    for (int i = 0; i < Big_K * Big_N; i++) {
+      B[i] = i % 100;
+    }
+  }
+  {
+    if constexpr (std::is_same<std::remove_const_t<T1>, bfloat16>::value) {
+
+      buffer<bfloat16, 1> bufA(A, range<1>(Big_M * Big_K));
+      buffer<bfloat16, 1> bufB(B, range<1>(Big_K * Big_N));
+      q.submit([&](handler &cgh) {
+        accessor<bfloat16, 1, access::mode::write, target::device> accA(bufA,
+                                                                        cgh);
+
+        cgh.parallel_for<KernelName<T1, class copyA, M, K, N>>(
+            range<1>(Big_M * Big_K), [=](item<1> item) {
+              auto i = item.get_linear_id();
+              accA[i] = 0.1f * (i % 10);
+            });
+      });
+      q.submit([&](handler &cgh) {
+        accessor<bfloat16, 1, access::mode::write, target::device> accB(bufB,
+                                                                        cgh);
+
+        cgh.parallel_for<KernelName<T1, class copyB, M, K, N>>(
+            range<1>(Big_K * Big_N), [=](item<1> item) {
+              auto i = item.get_linear_id();
+              accB[i] = 0.1f * (i % 10);
+            });
+      });
+    }
+
+    buffer<T1, 1> bufA(A, range<1>(Big_M * Big_K));
+    buffer<T1, 1> bufB(B, range<1>(Big_K * Big_N));
+    buffer<T2, 1> bufC(C, range<1>(Big_M * Big_N));
+    buffer<std::remove_const_t<T2>, 1> bufD(D, range<1>(Big_M * Big_N));
+
+    q.submit([&](handler &cgh) {
+      accessor<T1, 1, access::mode::read, target::device> accA(bufA, cgh);
+      accessor<T1, 1, access::mode::read, target::device> accB(bufB, cgh);
+      accessor<T2, 1, access::mode::read, target::device> accC(bufC, cgh);
+      accessor<std::remove_const_t<T2>, 1, access::mode::write, target::device>
+          accD(bufD, cgh);
+
+      range<2> LocalRange = {1, N_THREADS_PER_MATRIX_OP};
+      range<2> GlobalRange = {Sub_Tiles_M,
+                              Sub_Tiles_N * N_THREADS_PER_MATRIX_OP};
+
+      cgh.parallel_for<KernelName<T1, T2, M, K, N>>(
+          nd_range<2>(GlobalRange, LocalRange), [=](nd_item<2> item) {
+            sub_group sg = item.get_sub_group();
+            const auto m =
+                item.get_group().get_group_id()[0]; // row id of current
+                                                    // submatrix of BIG C matrix
+            const auto n =
+                item.get_group().get_group_id()[1]; // column id of current
+                                                    // submatrix of BIG C matrix
+
+            joint_matrix<T3, matrix_use::a, M, K, matrix_layout::row_major>
+                sub_a;
+
+            joint_matrix<T3, matrix_use::b, K, N, matrix_layout::row_major>
+                sub_b;
+
+            joint_matrix<std::remove_const_t<T2>, matrix_use::accumulator, M, N,
+                         matrix_layout::row_major>
+                sub_c;
+
+            joint_matrix_load(
+                sg, sub_c, accC.get_pointer() + (m * M) * Big_N + n * N, Big_N);
+
+            for (int k = 0; k < Sub_Tiles_K;
+                 k++) // row/col id of current submatrix of BIG A/B matrices
+            {
+              joint_matrix_load(sg, sub_a,
+                                accA.get_pointer() + (k * K) + (m * M * Big_K),
+                                Big_K);
+
+              joint_matrix_load(sg, sub_b,
+                                accB.get_pointer() + (k * K * Big_N) + (n * N),
+                                Big_N);
+
+              // round values to correct precision if using tf32
+              if constexpr (std::is_same<T3, precision::tf32>::value) {
+                auto wi_size = sub_a.wi_marray.size();
+                assert(wi_size == sub_b.wi_marray.size());
+                for (auto i = 0; i < wi_size; ++i) {
+                  sub_a.wi_marray[i] = round_to_tf32(sub_a.wi_marray[i]);
+                  sub_b.wi_marray[i] = round_to_tf32(sub_b.wi_marray[i]);
+                }
+              }
+
+              sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+            }
+            joint_matrix_store(
+                sg, sub_c, accD.get_pointer() + (m * M) * Big_N + n * N, Big_N);
+          });
+    });
+    q.wait();
+  }
+
+  for (int m = 0; m < Big_M; m++) {
+    for (int n = 0; n < Big_N; n++) {
+      if constexpr (std::is_same<std::remove_const_t<T1>, bfloat16>::value) {
+        auto res_device = matrix_ref_mn<Big_N, Big_K>(m, n, A, B, C);
+        assert(fabs(2 * (D[m * Big_N + n] - res_device)) /
+                   (D[m * Big_N + n] + res_device) <
+               bf16_eps * 2);
+      } else {
+        assert(
+            (D[m * Big_N + n] == matrix_ref_mn<Big_N, Big_K>(m, n, A, B, C)));
+      }
+    }
+  }
+};
+
+int main() {
+
+  queue Q;
+  auto computeCapability =
+      std::stof(Q.get_device().get_info<sycl::info::device::backend_version>());
+
+  if (computeCapability >= 7.0) {
+    // A/B half, Accumulator float
+    test<half, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<half, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<half, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const half, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16,
+         16>(Q);
+    test<const half, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16,
+         32>(Q);
+    test<const half, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16,
+         8>(Q);
+
+    // A/B/Accumulator half
+    test<half, half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<half, half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<half, half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const half, const half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16,
+         16>(Q);
+    test<const half, const half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16,
+         32>(Q);
+    test<const half, const half, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16,
+         8>(Q);
+  }
+  if (computeCapability >= 7.2) {
+    test<int8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<int8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<int8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const int8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16,
+         16, 16>(Q);
+    test<const int8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const int8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32,
+         16, 8>(Q);
+
+    test<uint8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(
+        Q);
+    test<uint8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<uint8_t, int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const uint8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N,
+         16, 16, 16>(Q);
+    test<const uint8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const uint8_t, const int32_t, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N,
+         32, 16, 8>(Q);
+  }
+  if (computeCapability >= 8.0) {
+    test<double, double, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 4, 8>(Q);
+    test<const double, const double, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         4, 8>(Q);
+
+    // A/B bfloat16 using storage type
+    test<uint16_t, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<uint16_t, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<uint16_t, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const uint16_t, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16,
+         16, 16>(Q);
+    test<const uint16_t, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const uint16_t, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32,
+         16, 8>(Q);
+
+    test<bfloat16, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 16, 16>(Q);
+    test<bfloat16, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8, 16, 32>(Q);
+    test<bfloat16, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32, 16, 8>(Q);
+
+    test<const bfloat16, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16,
+         16, 16>(Q);
+    test<const bfloat16, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 8,
+         16, 32>(Q);
+    test<const bfloat16, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 32,
+         16, 8>(Q);
+
+    // A/B tf32
+    test<float, float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 8, 16,
+         precision::tf32>(Q);
+    test<const float, const float, SUB_TILES_M, SUB_TILES_K, SUB_TILES_N, 16, 8,
+         16, precision::tf32>(Q);
+  }
+  return 0;
+};
diff --git a/sycl/test-e2e/Matrix/joint_matrix_us_int8.cpp b/sycl/test-e2e/Matrix/joint_matrix_us_int8.cpp
new file mode 100644
index 0000000000000..0690636c5914b
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_us_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_us_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_us_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_us_int8_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_us_int8_impl.hpp
new file mode 100644
index 0000000000000..694787f408a5e
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_us_int8_impl.hpp
@@ -0,0 +1,145 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, typename T3, size_t NUM_ROWS_A,
+          size_t NUM_COLS_A, size_t NUM_ROWS_B, size_t NUM_COLS_B,
+          size_t NUM_ROWS_C, size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T3, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<uint8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N, K](nd_item<2> spmd_item)
+             [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, uint8_t, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, int8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+uint8_t A[MATRIX_M][MATRIX_K];
+int8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        uint8_t *va = (uint8_t *)(A_mem + m * K + k);
+        int8_t *vb = (int8_t *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (static_cast<int>(va[i]) * static_cast<int>(vb[i]));
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<uint8_t, MATRIX_M, MATRIX_K> MA((uint8_t *)&A);
+  big_matrix<int8_t, MATRIX_K / 4, MATRIX_N * 4> MB((int8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/Matrix/joint_matrix_uu_int8.cpp b/sycl/test-e2e/Matrix/joint_matrix_uu_int8.cpp
new file mode 100644
index 0000000000000..42f2ff8fe674e
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_uu_int8.cpp
@@ -0,0 +1,22 @@
+//==-------- joint_matrix_uu_int8.cpp  - DPC++ joint_matrix------------ ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+
+#define SG_SZ 16
+
+#include "joint_matrix_uu_int8_impl.hpp"
diff --git a/sycl/test-e2e/Matrix/joint_matrix_uu_int8_impl.hpp b/sycl/test-e2e/Matrix/joint_matrix_uu_int8_impl.hpp
new file mode 100644
index 0000000000000..ce42d45d0107c
--- /dev/null
+++ b/sycl/test-e2e/Matrix/joint_matrix_uu_int8_impl.hpp
@@ -0,0 +1,143 @@
+#define TM 8
+#define TN SG_SZ
+#define TK 32
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+public:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A,
+          size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C,
+          size_t NUM_COLS_C>
+void matrix_multiply(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C,
+                     big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A,
+                     big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) {
+  size_t M = NUM_ROWS_C;
+  size_t N = NUM_COLS_C;
+  size_t K = NUM_COLS_A;
+  // B => K/4 x N*4, A => M x K, C => M, N
+  // stride should be X's cols, e.g., B's stirde = N*4
+  assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4);
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<uint8_t, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<uint8_t, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     auto accC = bufC.get_access<access::mode::read_write>(cgh);
+     auto accA = bufA.get_access<access::mode::read_write>(cgh);
+     auto accB = bufB.get_access<access::mode::read_write>(cgh);
+
+     cgh.parallel_for<class imatrix>(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [accA, accB, accC, M, N,
+          K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, uint8_t, use::a, TM, TK, layout::row_major>
+               sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, uint8_t, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             // Assuming B data is already in VNNI format.
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() + (k * TK / 4) * (N * 4) +
+                                   sg_starty / SG_SZ * TN * 4,
+                               N * 4);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_M = TM * 2;
+static constexpr size_t MATRIX_N = TN * 2;
+static constexpr size_t MATRIX_K = TK * 2;
+uint8_t A[MATRIX_M][MATRIX_K];
+uint8_t B[MATRIX_K / 4][MATRIX_N * 4];
+int32_t C[MATRIX_M][MATRIX_N];
+int32_t D[MATRIX_M][MATRIX_N];
+
+void matrix_multiply_ref(int32_t *A_mem, int32_t *B_mem, int32_t *C_mem, int M,
+                         int N, int K) {
+  // tiling
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        uint8_t *va = (uint8_t *)(A_mem + m * K + k);
+        uint8_t *vb = (uint8_t *)(B_mem + k * N + n);
+        int acc = *(C_mem + m * N + n);
+        for (int i = 0; i < 4; i++) {
+          acc += (static_cast<int>(va[i]) * static_cast<int>(vb[i]));
+        }
+        *(C_mem + m * N + n) = acc;
+      }
+    }
+}
+
+int main() {
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      A[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K / 4; i++) {
+    for (int j = 0; j < MATRIX_N * 4; j++) {
+      B[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MC((int32_t *)&C);
+  big_matrix<int32_t, MATRIX_M, MATRIX_N> MD((int32_t *)&D);
+  big_matrix<uint8_t, MATRIX_M, MATRIX_K> MA((uint8_t *)&A);
+  big_matrix<uint8_t, MATRIX_K / 4, MATRIX_N * 4> MB((uint8_t *)&B);
+  matrix_multiply(MC, MA, MB);
+  matrix_multiply_ref((int32_t *)A, (int32_t *)B, (int32_t *)D, MATRIX_M,
+                      MATRIX_N, MATRIX_K / 4);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (C[i][j] != D[i][j])
+        res = false;
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
diff --git a/sycl/test-e2e/OneapiDeviceSelector/Inputs/trivial.cpp b/sycl/test-e2e/OneapiDeviceSelector/Inputs/trivial.cpp
new file mode 100644
index 0000000000000..02a21af64a360
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/Inputs/trivial.cpp
@@ -0,0 +1,10 @@
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  for (auto &d : device::get_devices()) {
+    std::cout << "Device: " << d.get_info<info::device::name>() << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/OneapiDeviceSelector/backendonly_error.cpp b/sycl/test-e2e/OneapiDeviceSelector/backendonly_error.cpp
new file mode 100644
index 0000000000000..4a196f48fd943
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/backendonly_error.cpp
@@ -0,0 +1,7 @@
+// REQUIRES: level_zero
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %S/Inputs/trivial.cpp -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=level_zero %t.out
+// XFAIL: *
+
+// Calling ONEAPI_DEVICE_SELECTOR with a backend and no device should result in
+// an error.
\ No newline at end of file
diff --git a/sycl/test-e2e/OneapiDeviceSelector/case_sensitivity.cpp b/sycl/test-e2e/OneapiDeviceSelector/case_sensitivity.cpp
new file mode 100644
index 0000000000000..f52a78be5b41e
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/case_sensitivity.cpp
@@ -0,0 +1,8 @@
+
+// does not actually require OpenCL or GPU. Just testing parsing.
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %S/Inputs/trivial.cpp -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="OPENCL:*" %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:GPU" %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:gpu" %t.out
diff --git a/sycl/test-e2e/OneapiDeviceSelector/cpu_gpu_acc.cpp b/sycl/test-e2e/OneapiDeviceSelector/cpu_gpu_acc.cpp
new file mode 100644
index 0000000000000..d2455acf021f3
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/cpu_gpu_acc.cpp
@@ -0,0 +1,65 @@
+// REQUIRES: cpu, gpu, accelerator, opencl
+
+// RUN: %clangxx -fsycl %s -o %t.out
+
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:fpga %t.out | FileCheck %s --check-prefixes=CHECK-ACC-ONLY
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:gpu %t.out | FileCheck %s --check-prefixes=CHECK-GPU-ONLY
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:cpu %t.out | FileCheck %s --check-prefixes=CHECK-CPU-ONLY
+
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:fpga,gpu %t.out | FileCheck %s --check-prefixes=CHECK-ACC-GPU
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:fpga,cpu %t.out | FileCheck %s --check-prefixes=CHECK-ACC-CPU
+
+// RUN: env ONEAPI_DEVICE_SELECTOR=opencl:cpu,fpga,gpu %t.out | FileCheck %s --check-prefixes=CHECK-ACC-GPU-CPU
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %t.out | FileCheck %s --check-prefixes=CHECK-ACC-GPU-CPU
+//
+// CHECK-ACC-ONLY-NOT: Device: cpu
+// CHECK-ACC-ONLY-NOT: Device: gpu
+// CHECK-ACC-ONLY: Device: acc
+
+//
+// CHECK-GPU-ONLY-NOT: Device: acc
+// CHECK-GPU-ONLY-NOT: Device: cpu
+// CHECK-GPU-ONLY: Device: gpu
+
+//
+// CHECK-CPU-ONLY-NOT: Device: acc
+// CHECK-CPU-ONLY-NOT: Device: gpu
+// CHECK-CPU-ONLY: Device: cpu
+
+//
+// CHECK-ACC-GPU-NOT: Device: cpu
+// CHECK-ACC-GPU-DAG: Device: acc
+// CHECK-ACC-GPU-DAG: Device: gpu
+
+//
+// CHECK-ACC-CPU-NOT: Device: gpu
+// CHECK-ACC-CPU-DAG: Device: acc
+// CHECK-ACC-CPU-DAG: Device: cpu
+
+//
+// CHECK-ACC-GPU-CPU-DAG: Device: acc
+// CHECK-ACC-GPU-CPU-DAG: Device: gpu
+// CHECK-ACC-GPU-CPU-DAG: Device: cpu
+//
+
+#include <iostream>
+#include <map>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+
+  std::map<info::device_type, std::string> m = {
+      {info::device_type::cpu, "cpu"},
+      {info::device_type::gpu, "gpu"},
+      {info::device_type::accelerator, "acc"},
+      {info::device_type::all, "all"}};
+
+  for (auto &d : device::get_devices()) {
+    std::cout << "Device: " << m[d.get_info<info::device::device_type>()]
+              << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/OneapiDeviceSelector/cuda_top.cpp b/sycl/test-e2e/OneapiDeviceSelector/cuda_top.cpp
new file mode 100644
index 0000000000000..e82734e969ce8
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/cuda_top.cpp
@@ -0,0 +1,52 @@
+// REQUIRES: cuda,gpu
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=cuda:gpu %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='cuda:0' %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="cuda:*" %t.out
+
+//  At this time, CUDA only has one device (GPU). So this is easy to accept CUDA
+//  and GPU and reject anything else. This test is just testing top level
+//  devices, not sub-devices.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+
+  {
+    device d(default_selector_v);
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("CUDA") != string::npos);
+    cout << "CUDA GPU Device is found: " << boolalpha << d.is_gpu()
+         << std::endl;
+  }
+  {
+    device d(gpu_selector_v);
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("CUDA") != string::npos);
+    cout << name << " is found: " << boolalpha << d.is_gpu() << std::endl;
+  }
+  {
+    try {
+      device d(cpu_selector_v);
+      cerr << "CPU device is found in error: " << d.is_cpu() << std::endl;
+      return -1;
+    } catch (...) {
+      cout << "Expectedly, cpu device is not found." << std::endl;
+    }
+  }
+  {
+    try {
+      device d(accelerator_selector_v);
+      cerr << "ACC device is found in error: " << d.is_accelerator()
+           << std::endl;
+    } catch (...) {
+      cout << "Expectedly, ACC device is not found." << std::endl;
+    }
+  }
+
+  return 0;
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/OneapiDeviceSelector/illegal_BE_error.cpp b/sycl/test-e2e/OneapiDeviceSelector/illegal_BE_error.cpp
new file mode 100644
index 0000000000000..dee2238dbfac5
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/illegal_BE_error.cpp
@@ -0,0 +1,7 @@
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %S/Inputs/trivial.cpp -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="macaroni:*"" %t.out
+// XFAIL: *
+
+// Calling ONEAPI_DEVICE_SELECTOR with an illegal backend should result in an
+// error.
\ No newline at end of file
diff --git a/sycl/test-e2e/OneapiDeviceSelector/level_zero_top.cpp b/sycl/test-e2e/OneapiDeviceSelector/level_zero_top.cpp
new file mode 100644
index 0000000000000..c3b8d2fd1b153
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/level_zero_top.cpp
@@ -0,0 +1,52 @@
+// REQUIRES: level_zero,gpu
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR=level_zero:gpu %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='level_zero:0' %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" %t.out
+
+//  At this time, LevelZero only has one device (GPU). So this is easy to accept
+//  L0 and GPU and reject anything else. This test is just testing top level
+//  devices, not sub-devices.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+int main() {
+
+  {
+    device d(default_selector_v);
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("Level-Zero") != string::npos);
+    cout << "Level-Zero GPU Device is found: " << boolalpha << d.is_gpu()
+         << std::endl;
+  }
+  {
+    device d(gpu_selector_v);
+    string name = d.get_platform().get_info<info::platform::name>();
+    assert(name.find("Level-Zero") != string::npos);
+    cout << name << " is found: " << boolalpha << d.is_gpu() << std::endl;
+  }
+  {
+    try {
+      device d(cpu_selector_v);
+      cerr << "CPU device is found in error: " << d.is_cpu() << std::endl;
+      return -1;
+    } catch (...) {
+      cout << "Expectedly, cpu device is not found." << std::endl;
+    }
+  }
+  {
+    try {
+      device d(accelerator_selector_v);
+      cerr << "ACC device is found in error: " << d.is_accelerator()
+           << std::endl;
+    } catch (...) {
+      cout << "Expectedly, ACC device is not found." << std::endl;
+    }
+  }
+
+  return 0;
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/OneapiDeviceSelector/no_duplicate_devices.cpp b/sycl/test-e2e/OneapiDeviceSelector/no_duplicate_devices.cpp
new file mode 100644
index 0000000000000..baf8930c6f9a3
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/no_duplicate_devices.cpp
@@ -0,0 +1,38 @@
+// REQUIRES: opencl, cpu
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %t.out 1 &> tmp.txt
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*,cpu" cat tmp.txt | %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:cpu,cpu" cat tmp.txt | %t.out
+
+// on the first run we pass a dummy arg to the app. On seeing that, we count the
+// number of CPU devices and output it. That is piped  to a file. On subsequent
+// runs we cat the file and pipe that to app. The app then compares the number
+// of CPU devices to that number, erroring if they differ.
+
+// clang++ -fsycl -o ndd.bin no_duplicate_devices.cpp
+
+#include <string>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+
+  unsigned numCPUDevices = device::get_devices(info::device_type::cpu).size();
+
+  // when arg is provided, simply count the number of CPU devices and output.
+  if (argc > 1) {
+    std::cout << numCPUDevices << std::endl;
+    return 0; // done!
+  }
+
+  // when arg is not provided, check the count against the piped value.
+  char charBuff[16];
+  std::cin.read(charBuff, 16);
+  unsigned expectedNumCPUDevices = std::stoi(charBuff);
+
+  assert(numCPUDevices == expectedNumCPUDevices &&
+         "wrong number of cpu devices. duplicates.");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/OneapiDeviceSelector/sub-devices.cpp b/sycl/test-e2e/OneapiDeviceSelector/sub-devices.cpp
new file mode 100644
index 0000000000000..99fcfb0479c55
--- /dev/null
+++ b/sycl/test-e2e/OneapiDeviceSelector/sub-devices.cpp
@@ -0,0 +1,79 @@
+// works on PVC or ATS, however, the gpu-intel-gen12 identifier seems to
+// not be working with  REQUIRES ,
+// TODO : fix gpu-intel-XXXX identifiers for REQUIRE and UNSUPPORTED
+
+// REQUIRES: gpu
+
+// open question on whether this will work with CUDA or Hip.
+
+// RUN: %clangxx -fsycl %s -o %t.out
+
+// select sub-devices
+//   ONEAPI_DEVICE_SELECTOR=(any backend):(any
+//   device).(all-the-sub-devices).(all-sub-sub-devices)
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:*.*"  %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:*.*.*"  %t.out
+
+// select root devices and pass arg to test so it knows.
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:gpu" %t.out 1
+// RUN: %t.out 1
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main(int Argc, const char *Argv[]) {
+  std::vector<device> devices = device::get_devices();
+  std::cout << devices.size() << " devices found." << std::endl;
+  // root devices, no matter the selector should not have parents.
+  for (const device &dev : devices) {
+    std::cout << "name: " << dev.get_info<info::device::name>() << std::endl;
+    try {
+      // unlike sub-devices gotten from device.get_info<device::parent_device>
+      // sub-devices gotten via ONEAPI_DEVICE_SELECTOR pretend to be root
+      // devices and do NOT have parents.
+      device parentDev = dev.get_info<info::device::parent_device>();
+      std::cout << "unexpected parent name: "
+                << parentDev.get_info<info::device::name>() << std::endl;
+      assert(false && "we should not be here. asking for a parent should throw "
+                      "an exception");
+
+    } catch (sycl::exception &e) {
+      std::cout << "Yay. No parent device gotten" << std::endl;
+    }
+  }
+  // any argument indicates "normal" usage, no sub-devices promoted by
+  // ONEAPI_DEVICE_SELECTOR
+  if (Argc > 1) {
+    constexpr info::partition_property partitionProperty =
+        info::partition_property::partition_by_affinity_domain;
+    constexpr info::partition_affinity_domain affinityDomain =
+        info::partition_affinity_domain::next_partitionable;
+    device d = device(gpu_selector_v);
+    try {
+      std::vector<device> sub_devices =
+          d.create_sub_devices<partitionProperty>(affinityDomain);
+      for (const device &sub_dev : sub_devices) {
+        std::cout << "child name: " << sub_dev.get_info<info::device::name>()
+                  << std::endl;
+        try {
+          // sub-devices gotten from device.get_info<device::parent_device>
+          // should have parents.
+          device parentDev = sub_dev.get_info<info::device::parent_device>();
+          std::cout << "cool parent name: "
+                    << parentDev.get_info<info::device::name>() << std::endl;
+        } catch (sycl::exception &e) {
+          std::cout << "exception: " << e.what() << std::endl;
+          assert(false && "we should not be here. asking for a parent of a "
+                          "sub-device should NOT throw an exception ");
+        }
+      }
+    } catch (sycl::exception &e) {
+      // whatever GPU device we are on does not support sub-devices at all.
+      // Nothing to do.
+      std::cout << "this device " << d.get_info<info::device::name>()
+                << " does not support sub-devices. Nothing tested."
+                << std::endl;
+    }
+  }
+  return 0;
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/OnlineCompiler/online_compiler_L0.cpp b/sycl/test-e2e/OnlineCompiler/online_compiler_L0.cpp
new file mode 100644
index 0000000000000..239a57dc62dbe
--- /dev/null
+++ b/sycl/test-e2e/OnlineCompiler/online_compiler_L0.cpp
@@ -0,0 +1,65 @@
+// REQUIRES: level_zero, level_zero_dev_kit, cm-compiler
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DRUN_KERNELS %level_zero_options %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks ext::intel feature class online_compiler for Level-Zero.
+// All Level-Zero specific code is kept here and the common part that can be
+// re-used by other backends is kept in online_compiler_common.hpp file.
+
+#include <sycl/ext/intel/online_compiler.hpp>
+#include <sycl/sycl.hpp>
+
+#include <vector>
+
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using byte = unsigned char;
+
+#ifdef RUN_KERNELS
+sycl::kernel getSYCLKernelWithIL(sycl::queue &Queue,
+                                 const std::vector<byte> &IL) {
+
+  ze_module_desc_t ZeModuleDesc = {};
+  ZeModuleDesc.format = ZE_MODULE_FORMAT_IL_SPIRV;
+  ZeModuleDesc.inputSize = IL.size();
+  ZeModuleDesc.pInputModule = IL.data();
+  ZeModuleDesc.pBuildFlags = "";
+  ZeModuleDesc.pConstants = nullptr;
+
+  sycl::context Context = Queue.get_context();
+  sycl::device Device = Queue.get_device();
+  auto ZeDevice =
+      sycl::get_native<sycl::backend::ext_oneapi_level_zero>(Device);
+  auto ZeContext =
+      sycl::get_native<sycl::backend::ext_oneapi_level_zero>(Context);
+
+  ze_module_build_log_handle_t ZeBuildLog;
+  ze_module_handle_t ZeModule;
+  ze_result_t ZeResult = zeModuleCreate(ZeContext, ZeDevice, &ZeModuleDesc,
+                                        &ZeModule, &ZeBuildLog);
+  if (ZeResult != ZE_RESULT_SUCCESS)
+    throw sycl::runtime_error();
+
+  ze_kernel_handle_t ZeKernel = nullptr;
+
+  ze_kernel_desc_t ZeKernelDesc{ZE_STRUCTURE_TYPE_KERNEL_DESC, nullptr, 0,
+                                "my_kernel"};
+  ZeResult = zeKernelCreate(ZeModule, &ZeKernelDesc, &ZeKernel);
+  if (ZeResult != ZE_RESULT_SUCCESS)
+    throw sycl::runtime_error();
+  sycl::kernel_bundle<sycl::bundle_state::executable> SyclKB =
+      sycl::make_kernel_bundle<sycl::backend::ext_oneapi_level_zero,
+                               sycl::bundle_state::executable>(
+          {ZeModule, sycl::ext::oneapi::level_zero::ownership::keep}, Context);
+  return sycl::make_kernel<sycl::backend::ext_oneapi_level_zero>(
+      {SyclKB, ZeKernel, sycl::ext::oneapi::level_zero::ownership::keep},
+      Context);
+}
+#endif // RUN_KERNELS
+
+#include "online_compiler_common.hpp"
diff --git a/sycl/test-e2e/OnlineCompiler/online_compiler_OpenCL.cpp b/sycl/test-e2e/OnlineCompiler/online_compiler_OpenCL.cpp
new file mode 100644
index 0000000000000..faaa41f36c7bc
--- /dev/null
+++ b/sycl/test-e2e/OnlineCompiler/online_compiler_OpenCL.cpp
@@ -0,0 +1,43 @@
+// REQUIRES: opencl, opencl_icd, cm-compiler
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -DRUN_KERNELS %opencl_lib -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks ext::intel feature class online_compiler for OpenCL.
+// All OpenCL specific code is kept here and the common part that can be
+// re-used by other backends is kept in online_compiler_common.hpp file.
+
+#include <sycl/backend/opencl.hpp>
+#include <sycl/ext/intel/online_compiler.hpp>
+#include <sycl/sycl.hpp>
+
+#include <vector>
+
+using byte = unsigned char;
+
+#ifdef RUN_KERNELS
+sycl::kernel getSYCLKernelWithIL(sycl::queue &Queue,
+                                 const std::vector<byte> &IL) {
+  sycl::context Context = Queue.get_context();
+
+  cl_int Err;
+  cl_program ClProgram =
+      clCreateProgramWithIL(sycl::get_native<sycl::backend::opencl>(Context),
+                            IL.data(), IL.size(), &Err);
+  if (Err != CL_SUCCESS)
+    throw sycl::runtime_error("clCreateProgramWithIL() failed", Err);
+
+  Err = clBuildProgram(ClProgram, 0, nullptr, nullptr, nullptr, nullptr);
+  if (Err != CL_SUCCESS)
+    throw sycl::runtime_error("clBuildProgram() failed", Err);
+
+  cl_kernel ClKernel = clCreateKernel(ClProgram, "my_kernel", &Err);
+  if (Err != CL_SUCCESS)
+    throw sycl::runtime_error("clCreateKernel() failed", Err);
+
+  return sycl::make_kernel<sycl::backend::opencl>(ClKernel, Context);
+}
+#endif // RUN_KERNELS
+
+#include "online_compiler_common.hpp"
diff --git a/sycl/test-e2e/OnlineCompiler/online_compiler_common.hpp b/sycl/test-e2e/OnlineCompiler/online_compiler_common.hpp
new file mode 100644
index 0000000000000..d8e7cd4d2304f
--- /dev/null
+++ b/sycl/test-e2e/OnlineCompiler/online_compiler_common.hpp
@@ -0,0 +1,186 @@
+#include <sycl/ext/intel/online_compiler.hpp>
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <vector>
+
+auto constexpr CLSource = R"===(
+__kernel void my_kernel(__global int *in, __global int *out) {
+  size_t i = get_global_id(0);
+  out[i] = in[i]*2 + 100;
+}
+)===";
+
+auto constexpr CLSourceSyntaxError = R"===(
+__kernel void my_kernel(__global int *in, __global int *out) {
+  syntax error here
+  size_t i = get_global_id(0);
+  out[i] = in[i]*2 + 100;
+}
+)===";
+
+auto constexpr CMSource = R"===(
+extern "C"
+void cm_kernel() {
+}
+)===";
+
+using namespace sycl::ext::intel;
+
+#ifdef RUN_KERNELS
+void testSyclKernel(sycl::queue &Q, sycl::kernel Kernel) {
+  std::cout << "Run the kernel now:\n";
+  constexpr int N = 4;
+  int InputArray[N] = {0, 1, 2, 3};
+  int OutputArray[N] = {};
+
+  sycl::buffer<int, 1> InputBuf(InputArray, sycl::range<1>(N));
+  sycl::buffer<int, 1> OutputBuf(OutputArray, sycl::range<1>(N));
+
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.set_arg(0, InputBuf.get_access<sycl::access::mode::read>(CGH));
+    CGH.set_arg(1, OutputBuf.get_access<sycl::access::mode::write>(CGH));
+    CGH.parallel_for(sycl::range<1>{N}, Kernel);
+  });
+
+  auto Out = OutputBuf.get_access<sycl::access::mode::read>();
+  for (int I = 0; I < N; I++)
+    std::cout << I << "*2 + 100 = " << Out[I] << "\n";
+}
+#endif // RUN_KERNELS
+
+int main(int argc, char **argv) {
+  sycl::queue Q;
+  sycl::device Device = Q.get_device();
+
+  { // Compile and run a trivial OpenCL kernel.
+    std::cout << "Test case1\n";
+    sycl::ext::intel::experimental::online_compiler<
+        sycl::ext::intel::experimental::source_language::opencl_c>
+        Compiler;
+    std::vector<byte> IL;
+    try {
+      IL = Compiler.compile(
+          CLSource,
+          // Pass two options to check that more than one is accepted.
+          std::vector<std::string>{"-cl-fast-relaxed-math",
+                                   "-cl-finite-math-only"});
+      std::cout << "IL size = " << IL.size() << "\n";
+      assert(IL.size() > 0 && "Unexpected IL size");
+    } catch (sycl::exception &e) {
+      std::cout << "Compilation to IL failed: " << e.what() << "\n";
+      return 1;
+    }
+#ifdef RUN_KERNELS
+    testSyclKernel(Q, getSYCLKernelWithIL(Q, IL));
+#endif // RUN_KERNELS
+  }
+
+  { // Compile and run a trivial OpenCL kernel using online_compiler()
+    // constructor accepting SYCL device.
+    std::cout << "Test case2\n";
+    sycl::ext::intel::experimental::online_compiler<
+        sycl::ext::intel::experimental::source_language::opencl_c>
+        Compiler(Device);
+    std::vector<byte> IL;
+    try {
+      IL = Compiler.compile(CLSource);
+      std::cout << "IL size = " << IL.size() << "\n";
+      assert(IL.size() > 0 && "Unexpected IL size");
+    } catch (sycl::exception &e) {
+      std::cout << "Compilation to IL failed: " << e.what() << "\n";
+      return 1;
+    }
+#ifdef RUN_KERNELS
+    testSyclKernel(Q, getSYCLKernelWithIL(Q, IL));
+#endif // RUN_KERNELS
+  }
+
+  // TODO: this test is temporarily turned off because CI buildbots do not set
+  // PATHs to clangFEWrapper library properly.
+  { // Compile a trivial CM kernel.
+    std::cout << "Test case3\n";
+    sycl::ext::intel::experimental::online_compiler<
+        sycl::ext::intel::experimental::source_language::cm>
+        Compiler;
+    try {
+      std::vector<byte> IL = Compiler.compile(CMSource);
+
+      std::cout << "IL size = " << IL.size() << "\n";
+      assert(IL.size() > 0 && "Unexpected IL size");
+    } catch (sycl::exception &e) {
+      std::cout << "Compilation to IL failed: " << e.what() << "\n";
+      return 1;
+    }
+  }
+
+  { // Compile a source with syntax errors.
+    std::cout << "Test case4\n";
+    sycl::ext::intel::experimental::online_compiler<
+        sycl::ext::intel::experimental::source_language::opencl_c>
+        Compiler;
+    std::vector<byte> IL;
+    bool TestPassed = false;
+    try {
+      IL = Compiler.compile(CLSourceSyntaxError);
+    } catch (sycl::exception &e) {
+      std::string Msg = e.what();
+      if (Msg.find("syntax error here") != std::string::npos)
+        TestPassed = true;
+      else
+        std::cerr << "Unexpected exception: " << Msg << "\n";
+    }
+    assert(TestPassed && "Failed to throw an exception for syntax error");
+    if (!TestPassed)
+      return 1;
+  }
+
+  { // Compile a good CL source using unrecognized compilation options.
+    std::cout << "Test case5\n";
+    sycl::ext::intel::experimental::online_compiler<
+        sycl::ext::intel::experimental::source_language::opencl_c>
+        Compiler;
+    std::vector<byte> IL;
+    bool TestPassed = false;
+    try {
+      IL = Compiler.compile(CLSource,
+                            // Intentionally use incorrect option.
+                            std::vector<std::string>{"WRONG_OPTION"});
+    } catch (sycl::exception &e) {
+      std::string Msg = e.what();
+      if (Msg.find("WRONG_OPTION") != std::string::npos)
+        TestPassed = true;
+      else
+        std::cerr << "Unexpected exception: " << Msg << "\n";
+    }
+    assert(TestPassed &&
+           "Failed to throw an exception for unrecognized option");
+    if (!TestPassed)
+      return 1;
+  }
+
+  { // Try compiling CM source with OpenCL compiler.
+    std::cout << "Test case6\n";
+    sycl::ext::intel::experimental::online_compiler<
+        sycl::ext::intel::experimental::source_language::opencl_c>
+        Compiler;
+    std::vector<byte> IL;
+    bool TestPassed = false;
+    try {
+      // Intentionally pass CMSource instead of CLSource.
+      IL = Compiler.compile(CMSource);
+    } catch (sycl::exception &e) {
+      std::string Msg = e.what();
+      if (Msg.find("error: expected identifier or '('") != std::string::npos)
+        TestPassed = true;
+      else
+        std::cerr << "Unexpected exception: " << Msg << "\n";
+    }
+    assert(TestPassed && "Failed to throw an exception for wrong program");
+    if (!TestPassed)
+      return 1;
+  }
+
+  std::cout << "\nAll test cases passed.\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/OptionalKernelFeatures/is_compatible.cpp b/sycl/test-e2e/OptionalKernelFeatures/is_compatible.cpp
new file mode 100644
index 0000000000000..05204976be1c9
--- /dev/null
+++ b/sycl/test-e2e/OptionalKernelFeatures/is_compatible.cpp
@@ -0,0 +1,76 @@
+// requires: cpu, gpu, accelerator
+// UNSUPPORTED: hip
+// FIXME: enable the test back, see intel/llvm#8146
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -O0 %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+[[sycl::device_has(sycl::aspect::cpu)]] void foo(){};
+[[sycl::device_has(sycl::aspect::gpu)]] void bar(){};
+[[sycl::device_has(sycl::aspect::accelerator)]] void baz(){};
+
+class KernelCPU;
+class KernelGPU;
+class KernelACC;
+class GoodWGSize;
+class WrongReqWGSize;
+
+constexpr int SIZE = 2;
+
+int main() {
+  bool Compatible = true;
+  bool Called = false;
+  sycl::device Dev;
+  sycl::queue Q(Dev);
+
+  if (sycl::is_compatible<KernelCPU>(Dev)) {
+    Q.submit(
+        [&](sycl::handler &h) { h.single_task<KernelCPU>([=]() { foo(); }); });
+    Q.wait();
+    Compatible &= Dev.is_cpu();
+    Called = true;
+  }
+  if (sycl::is_compatible<KernelGPU>(Dev)) {
+    Q.submit(
+        [&](sycl::handler &h) { h.single_task<KernelGPU>([=]() { bar(); }); });
+    Q.wait();
+    Compatible &= Dev.is_gpu();
+    Called = true;
+  }
+  if (sycl::is_compatible<KernelACC>(Dev)) {
+    Q.submit(
+        [&](sycl::handler &h) { h.single_task<KernelACC>([=]() { baz(); }); });
+    Q.wait();
+    Compatible &= Dev.is_accelerator();
+    Called = true;
+  }
+
+  if (sycl::is_compatible<GoodWGSize>(Dev)) {
+    Q.submit([&](sycl::handler &h) {
+      h.parallel_for<class GoodWGSize>(
+          sycl::range<2>(4, 2),
+          [=](sycl::item<2> it) [[sycl::reqd_work_group_size(SIZE, SIZE)]] {});
+    });
+    Q.wait();
+    Compatible &= (Dev.get_info<sycl::info::device::max_work_group_size>() >
+                   (SIZE * SIZE));
+    Called = true;
+  }
+
+  if (Dev.get_info<sycl::info::device::max_work_group_size>() > INT_MAX) {
+    Compatible &= true;
+  }
+  if (sycl::is_compatible<WrongReqWGSize>(Dev)) {
+    assert(false && "sycl::is_compatible<WrongReqWGSize> must be false");
+    Q.submit([&](sycl::handler &h) {
+      h.parallel_for<class WrongReqWGSize>(
+          sycl::range<1>(2),
+          [=](sycl::item<1> it) [[sycl::reqd_work_group_size(INT_MAX)]] {});
+    });
+  }
+
+  return (Compatible && Called) ? 0 : 1;
+}
diff --git a/sycl/test-e2e/OptionalKernelFeatures/no-speculative-compilation.cpp b/sycl/test-e2e/OptionalKernelFeatures/no-speculative-compilation.cpp
new file mode 100644
index 0000000000000..4909b885c2e1a
--- /dev/null
+++ b/sycl/test-e2e/OptionalKernelFeatures/no-speculative-compilation.cpp
@@ -0,0 +1,56 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// This test intends to check that no speculative compilation is happening,
+// i.e. there are no exceptions thrown about aspects fp16 or fp64 being
+// unsuppored on device.
+
+#include <sycl/sycl.hpp>
+
+void foo(sycl::half &value) { value += sycl::half(1.0f); }
+
+void foo(double &value) { value += 2.0; }
+
+void foo(float &value) { value += 3.0f; }
+
+int main() {
+  sycl::queue q;
+
+  sycl::half h = 0.0f;
+  double d = 0.0;
+  float f = 0.0f;
+
+  sycl::buffer<sycl::half> buf_half(&h, sycl::range{1});
+  sycl::buffer<double> buf_double(&d, sycl::range{1});
+  sycl::buffer<float> buf_float(&f, sycl::range{1});
+
+  if (q.get_device().has(sycl::aspect::fp16)) {
+    q.submit([&](sycl::handler &cgh) {
+       auto acc = buf_half.get_access(cgh);
+       cgh.single_task([=] { foo(acc[0]); });
+     }).wait();
+
+    auto host_acc = buf_half.get_host_access();
+    assert(host_acc[0] == 1.0f);
+  } else if (q.get_device().has(sycl::aspect::fp64)) {
+    q.submit([&](sycl::handler &cgh) {
+       auto acc = buf_double.get_access(cgh);
+       cgh.single_task([=] { foo(acc[0]); });
+     }).wait();
+
+    auto host_acc = buf_double.get_host_access();
+    assert(host_acc[0] == 2.0f);
+  } else {
+    q.submit([&](sycl::handler &cgh) {
+       auto acc = buf_float.get_access(cgh);
+       cgh.single_task([=] { foo(acc[0]); });
+     }).wait();
+
+    auto host_acc = buf_float.get_host_access();
+    assert(host_acc[0] == 3.0f);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/OptionalKernelFeatures/throw-exception-for-unsupported-aspect.cpp b/sycl/test-e2e/OptionalKernelFeatures/throw-exception-for-unsupported-aspect.cpp
new file mode 100644
index 0000000000000..734052b346a23
--- /dev/null
+++ b/sycl/test-e2e/OptionalKernelFeatures/throw-exception-for-unsupported-aspect.cpp
@@ -0,0 +1,22 @@
+// REQUIRES: cpu
+
+// RUN: %clangxx -fsycl -O0 %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+[[sycl::device_has(sycl::aspect::gpu)]] void foo() {}
+
+int main() {
+  sycl::queue q;
+  try {
+    q.submit([&](sycl::handler &h) { h.single_task([=]() { foo(); }); });
+    q.wait();
+  } catch (sycl::exception &e) {
+    const char *ErrMsg = "Required aspect gpu is not supported on the device";
+    if (std::string(e.what()).find(ErrMsg) != std::string::npos) {
+      return 0;
+    }
+  }
+  return 1;
+}
diff --git a/sycl/test-e2e/Plugin/dll-detach-order.cpp b/sycl/test-e2e/Plugin/dll-detach-order.cpp
new file mode 100644
index 0000000000000..1719f7b6981e8
--- /dev/null
+++ b/sycl/test-e2e/Plugin/dll-detach-order.cpp
@@ -0,0 +1,12 @@
+// REQUIRES: windows
+// RUN: env SYCL_PI_TRACE=2 sycl-ls | FileCheck %s
+
+// ensure that the plugins are detached AFTER piTearDown is done executing
+
+// CHECK: ---> DLL_PROCESS_DETACH syclx.dll
+// CHECK: ---> piTearDown(
+
+// whatever plugin THIS is
+// CHECK: ---> DLL_PROCESS_DETACH
+
+// CHECK: ---> DLL_PROCESS_DETACH win_proxy_loader.dll
diff --git a/sycl/test-e2e/Plugin/enqueue-arg-order-buffer.cpp b/sycl/test-e2e/Plugin/enqueue-arg-order-buffer.cpp
new file mode 100644
index 0000000000000..bca144a582743
--- /dev/null
+++ b/sycl/test-e2e/Plugin/enqueue-arg-order-buffer.cpp
@@ -0,0 +1,460 @@
+// UNSUPPORTED: hip_nvidia
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+
+#include <iostream>
+#include <sycl/accessor.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr long width = 16;
+constexpr long height = 5;
+constexpr long total = width * height;
+
+constexpr long depth = 3;
+constexpr long total3D = total * depth;
+
+void remind() {
+  /*
+    https://www.khronos.org/registry/OpenCL/sdk/2.2/docs/man/html/clEnqueueReadBufferRect.html
+
+    buffer_origin defines the (x, y, z) offset in the memory region associated
+    with buffer. For a 2D rectangle region, the z value given by
+    buffer_origin[2] should be 0. The offset in bytes is computed as
+    buffer_origin[2] × buffer_slice_pitch + buffer_origin[1] × buffer_row_pitch
+    + buffer_origin[0].
+
+    region defines the (width in bytes, height in rows, depth in slices) of the
+    2D or 3D rectangle being read or written. For a 2D rectangle copy, the depth
+    value given by region[2] should be 1. The values in region cannot be 0.
+
+
+    buffer_row_pitch is the length of each row in bytes to be used for the
+    memory region associated with buffer. If buffer_row_pitch is 0,
+    buffer_row_pitch is computed as region[0].
+
+    buffer_slice_pitch is the length of each 2D slice in bytes to be used for
+    the memory region associated with buffer. If buffer_slice_pitch is 0,
+    buffer_slice_pitch is computed as region[1] × buffer_row_pitch.
+  */
+  std::cout << "For BUFFERS" << std::endl;
+  std::cout << "         Region SHOULD be : " << width * sizeof(float) << "/"
+            << height << "/" << depth << std::endl; // 64/5/3
+  std::cout << "  RowPitch SHOULD be 0 or : " << width * sizeof(float)
+            << std::endl; // 0 or 64
+  std::cout << "SlicePitch SHOULD be 0 or : " << width * sizeof(float) * height
+            << std::endl
+            << std::endl; // 0 or 320
+}
+// ----------- FUNCTIONAL
+template <template <int> class T> static void printRangeId(T<3> arr) {
+  std::cout << ":: "
+            << "{" << arr[0] << ", " << arr[1] << ", " << arr[2] << "}"
+            << std::endl;
+}
+
+void testDetailConvertToArrayOfN() {
+  // ranges, as used with buffers (args reverse order for images)
+  range<1> range_1D(width);
+  range<2> range_2D(height, width);
+  range<3> range_3D(depth, height, width);
+
+  range<3> arr1 = sycl::detail::convertToArrayOfN<3, 1>(range_1D);
+  // {16,1,1}
+  printRangeId(arr1);
+  assert(arr1[0] == width && arr1[1] == 1 && arr1[2] == 1 &&
+         "arr1 expected as {16,1,1}");
+
+  range<3> arr2 = sycl::detail::convertToArrayOfN<3, 1>(range_2D);
+  //{5, 16, 1}
+  printRangeId(arr2);
+  assert(arr2[0] == height && arr2[1] == width && arr2[2] == 1 &&
+         "arr2 expected as {5, 16, 1}");
+
+  range<3> arr3 = sycl::detail::convertToArrayOfN<3, 1>(range_3D);
+  //{3, 5, 16}
+  printRangeId(arr3);
+  assert(arr3[0] == depth && arr3[1] == height && arr3[2] == width &&
+         "arr3 expected as {3,5,16}");
+
+  range<2> smaller2 = sycl::detail::convertToArrayOfN<2, 1>(range_3D);
+  //{3,5}
+  std::cout << "{" << smaller2[0] << "," << smaller2[1] << "}" << std::endl;
+  assert(smaller2[0] == depth && smaller2[1] == height &&
+         "smaller2 expected {3,5} ");
+
+  range<1> smaller1 = sycl::detail::convertToArrayOfN<1, 1>(range_3D);
+  //{3}
+  assert(smaller1[0] == depth && "smaller1 expected {3} ");
+}
+
+// class to give access to protected function getLinearIndex
+template <typename T, int Dims>
+class AccTest : public accessor<T, Dims, access::mode::read_write,
+                                access::target::host_buffer,
+                                access::placeholder::false_t> {
+  using AccessorT =
+      accessor<T, Dims, access::mode::read_write, access::target::host_buffer,
+               access::placeholder::false_t>;
+
+public:
+  AccTest(AccessorT acc) : AccessorT(acc) {}
+
+  size_t gLI(id<Dims> idx) { return AccessorT::getLinearIndex(idx); }
+};
+
+void testGetLinearIndex() {
+  constexpr int x = 4, y = 3, z = 1;
+  // width=16, height=5, depth = 3.
+  // row is 16 (ie. width)
+  // slice is 80 (ie width * height)
+  size_t target_1D = x;
+  size_t target_2D = (y * width) + x; // s.b. (3*16) + 4 => 52
+  size_t target_3D =
+      (height * width * z) + (y * width) + x; // s.b. 80 + (3*16) + 4 => 132
+
+  std::vector<float> data_1D(width, 13);
+  std::vector<float> data_2D(total, 7);
+  std::vector<float> data_3D(total3D, 17);
+
+  // test accessor protected function
+  {
+    buffer<float, 1> buffer_1D(data_1D.data(), range<1>(width));
+    buffer<float, 2> buffer_2D(data_2D.data(), range<2>(height, width));
+    buffer<float, 3> buffer_3D(data_3D.data(), range<3>(depth, height, width));
+
+    auto acc_1D = buffer_1D.get_access<access::mode::read_write>();
+    auto accTest_1D = AccTest<float, 1>(acc_1D);
+    size_t linear_1D = accTest_1D.gLI(id<1>(x)); // s.b. 4
+    std::cout << "linear_1D: " << linear_1D << "  target_1D: " << target_1D
+              << std::endl;
+    assert(linear_1D == target_1D && "linear_1D s.b. 4");
+
+    auto acc_2D = buffer_2D.get_access<access::mode::read_write>();
+    auto accTest_2D = AccTest<float, 2>(acc_2D);
+    size_t linear_2D = accTest_2D.gLI(id<2>(y, x));
+    std::cout << "linear_2D: " << linear_2D << "  target_2D: " << target_2D
+              << std::endl;
+    assert(linear_2D == target_2D && "linear_2D s.b. 52");
+
+    auto acc_3D = buffer_3D.get_access<access::mode::read_write>();
+    auto accTest_3D = AccTest<float, 3>(acc_3D);
+    size_t linear_3D = accTest_3D.gLI(id<3>(z, y, x));
+    std::cout << "linear_3D: " << linear_3D << "  target_3D: " << target_3D
+              << std::endl;
+    assert(linear_3D == target_3D && "linear_3D s.b. 132");
+  }
+
+  // common.hpp variant of getLinearIndex
+  size_t lin_1D = getLinearIndex(id<1>(x), range<1>(width));
+  std::cout << "lin_1D: " << lin_1D << std::endl;
+  assert(lin_1D == target_1D && "lin_1D s.b. 4");
+
+  size_t lin_2D = getLinearIndex(id<2>(y, x), range<2>(height, width));
+  std::cout << "lin_2D: " << lin_2D << "  target_2D: " << target_2D
+            << std::endl;
+  assert(lin_2D == target_2D && "lin_2D s.b. 52");
+
+  size_t lin_3D =
+      getLinearIndex(id<3>(z, y, x), range<3>(depth, height, width));
+  std::cout << "lin_3D: " << lin_3D << "  target_3D: " << target_3D
+            << std::endl;
+  assert(lin_3D == target_3D && "lin_3D s.b. 132");
+}
+
+// ----------- BUFFERS
+
+void testcopyD2HBuffer() {
+  std::cout << "start copyD2H-buffer" << std::endl;
+  std::vector<float> data_from_1D(width, 13);
+  std::vector<float> data_to_1D(width, 0);
+  std::vector<float> data_from_2D(total, 7);
+  std::vector<float> data_to_2D(total, 0);
+  std::vector<float> data_from_3D(total3D, 17);
+  std::vector<float> data_to_3D(total3D, 0);
+
+  {
+    buffer<float, 1> buffer_from_1D(data_from_1D.data(), range<1>(width));
+    buffer<float, 1> buffer_to_1D(data_to_1D.data(), range<1>(width));
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_1D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_1D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyD2H_1D>(
+          buffer_from_1D.get_range(),
+          [=](id<1> index) { write[index] = read[index] * -1; });
+    });
+  } // ~buffer 1D
+
+  {
+    buffer<float, 2> buffer_from_2D(data_from_2D.data(),
+                                    range<2>(height, width));
+    buffer<float, 2> buffer_to_2D(data_to_2D.data(), range<2>(height, width));
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_2D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_2D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyD2H_2D>(
+          buffer_from_2D.get_range(),
+          [=](id<2> index) { write[index] = read[index] * -1; });
+    });
+  } // ~buffer 2D
+
+  {
+    buffer<float, 3> buffer_from_3D(data_from_3D.data(),
+                                    range<3>(depth, height, width));
+    buffer<float, 3> buffer_to_3D(data_to_3D.data(),
+                                  range<3>(depth, height, width));
+    queue myQueue;
+    myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_3D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_3D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyD2H_3D>(
+          buffer_from_3D.get_range(),
+          [=](id<3> index) { write[index] = read[index] * -1; });
+    });
+  } // ~buffer 3D
+
+  std::cout << "end copyD2H-buffer" << std::endl;
+}
+
+void testcopyH2DBuffer() {
+  // copy between two queues triggers a piEnqueueMemBufferMap followed by
+  // copyH2D, followed by a copyD2H, followed by a piEnqueueMemUnmap
+  // Here we only care about checking copyH2D
+
+  std::cout << "start copyH2D-buffer" << std::endl;
+  std::vector<float> data_from_1D(width, 13);
+  std::vector<float> data_to_1D(width, 0);
+  std::vector<float> data_from_2D(total, 7);
+  std::vector<float> data_to_2D(total, 0);
+  std::vector<float> data_from_3D(total3D, 17);
+  std::vector<float> data_to_3D(total3D, 0);
+
+  {
+    buffer<float, 1> buffer_from_1D(data_from_1D.data(), range<1>(width));
+    buffer<float, 1> buffer_to_1D(data_to_1D.data(), range<1>(width));
+
+    device Dev{default_selector_v};
+    context myCtx{Dev};
+    context otherCtx{Dev};
+
+    queue myQueue{myCtx, Dev};
+    queue otherQueue{otherCtx, Dev};
+    myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_1D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_1D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyH2D_1D>(
+          buffer_from_1D.get_range(),
+          [=](id<1> index) { write[index] = read[index] * -1; });
+    });
+    myQueue.wait();
+
+    otherQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_1D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_1D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyH2D_1D_2nd>(
+          buffer_from_1D.get_range(),
+          [=](id<1> index) { write[index] = read[index] * 10; });
+    });
+  } // ~buffer 1D
+
+  {
+    buffer<float, 2> buffer_from_2D(data_from_2D.data(),
+                                    range<2>(height, width));
+    buffer<float, 2> buffer_to_2D(data_to_2D.data(), range<2>(height, width));
+
+    device Dev{default_selector{}};
+    context myCtx{Dev};
+    context otherCtx{Dev};
+
+    queue myQueue{myCtx, Dev};
+    queue otherQueue{otherCtx, Dev};
+    myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_2D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_2D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyH2D_2D>(
+          buffer_from_2D.get_range(),
+          [=](id<2> index) { write[index] = read[index] * -1; });
+    });
+
+    otherQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_2D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_2D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyH2D_2D_2nd>(
+          buffer_from_2D.get_range(),
+          [=](id<2> index) { write[index] = read[index] * 10; });
+    });
+  } // ~buffer 22
+
+  {
+    buffer<float, 3> buffer_from_3D(data_from_3D.data(),
+                                    range<3>(depth, height, width));
+    buffer<float, 3> buffer_to_3D(data_to_3D.data(),
+                                  range<3>(depth, height, width));
+
+    device Dev{default_selector{}};
+    context myCtx{Dev};
+    context otherCtx{Dev};
+
+    queue myQueue{myCtx, Dev};
+    queue otherQueue{otherCtx, Dev};
+    myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_3D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_3D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyH2D_3D>(
+          buffer_from_3D.get_range(),
+          [=](id<3> index) { write[index] = read[index] * -1; });
+    });
+
+    otherQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_3D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_3D.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class copyH2D_3D_2nd>(
+          buffer_from_3D.get_range(),
+          [=](id<3> index) { write[index] = read[index] * 10; });
+    });
+  } // ~buffer 3D
+
+  std::cout << "end copyH2D-buffer" << std::endl;
+}
+
+void testcopyD2DBuffer() {
+  std::cout << "start copyD2D-buffer" << std::endl;
+  std::vector<float> data_from_1D(width, 13);
+  std::vector<float> data_to_1D(width, 0);
+  std::vector<float> data_from_2D(total, 7);
+  std::vector<float> data_to_2D(total, 0);
+  std::vector<float> data_from_3D(total3D, 17);
+  std::vector<float> data_to_3D(total3D, 0);
+  {
+    buffer<float, 1> buffer_from_1D(data_from_1D.data(), range<1>(width));
+    buffer<float, 1> buffer_to_1D(data_to_1D.data(), range<1>(width));
+    buffer<float, 2> buffer_from_2D(data_from_2D.data(),
+                                    range<2>(height, width));
+    buffer<float, 2> buffer_to_2D(data_to_2D.data(), range<2>(height, width));
+    buffer<float, 3> buffer_from_3D(data_from_3D.data(),
+                                    range<3>(depth, height, width));
+    buffer<float, 3> buffer_to_3D(data_to_3D.data(),
+                                  range<3>(depth, height, width));
+
+    queue myQueue;
+    auto e1 = myQueue.submit([&](handler &cgh) {
+      auto read = buffer_from_1D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_1D.get_access<access::mode::write>(cgh);
+      cgh.copy(read, write);
+    });
+    auto e2 = myQueue.submit([&](handler &cgh) {
+      cgh.depends_on(e1);
+      auto read = buffer_from_2D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_2D.get_access<access::mode::write>(cgh);
+      cgh.copy(read, write);
+    });
+    auto e3 = myQueue.submit([&](handler &cgh) {
+      cgh.depends_on(e2);
+      auto read = buffer_from_3D.get_access<access::mode::read>(cgh);
+      auto write = buffer_to_3D.get_access<access::mode::write>(cgh);
+      cgh.copy(read, write);
+    });
+
+  } // ~buffer
+  std::cout << "end copyD2D-buffer" << std::endl;
+}
+
+void testFill_Buffer() {
+  std::cout << "start testFill Buffer" << std::endl;
+  std::vector<float> data_1D(width, 0);
+  std::vector<float> data_2D(total, 0);
+  std::vector<float> data_3D(total3D, 0);
+  {
+    buffer<float, 1> buffer_1D(data_1D.data(), range<1>(width));
+    buffer<float, 2> buffer_2D(data_2D.data(), range<2>(height, width));
+    buffer<float, 3> buffer_3D(data_3D.data(), range<3>(depth, height, width));
+
+    queue myQueue;
+    auto e1 = myQueue.submit([&](handler &cgh) {
+      auto acc1D = buffer_1D.get_access<sycl::access::mode::write>(cgh);
+      cgh.fill(acc1D, float{1});
+    });
+    auto e2 = myQueue.submit([&](handler &cgh) {
+      cgh.depends_on(e1);
+      auto acc2D = buffer_2D.get_access<sycl::access::mode::write>(cgh);
+      cgh.fill(acc2D, float{2});
+    });
+    auto e3 = myQueue.submit([&](handler &cgh) {
+      cgh.depends_on(e2);
+      auto acc3D = buffer_3D.get_access<sycl::access::mode::write>(cgh);
+      cgh.fill(acc3D, float{3});
+    });
+  } // ~buffer
+  std::cout << "end testFill Buffer" << std::endl;
+}
+
+// --------------
+
+int main() {
+  remind();
+
+  testDetailConvertToArrayOfN();
+  testGetLinearIndex();
+
+  testcopyD2HBuffer();
+  testcopyH2DBuffer();
+  testcopyD2DBuffer();
+  testFill_Buffer();
+}
+
+// ----------- BUFFERS
+
+// CHECK-LABEL: start copyD2H-buffer
+// CHECK: ---> piEnqueueMemBufferRead(
+// CHECK: <unknown> : 64
+// CHECK: ---> piEnqueueMemBufferReadRect(
+// CHECK: pi_buff_rect_region width_bytes/height/depth : 64/5/1
+// CHECK-NEXT: <unknown> : 64
+// CHECK: ---> piEnqueueMemBufferReadRect(
+// CHECK: pi_buff_rect_region width_bytes/height/depth : 64/5/3
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK: end copyD2H-buffer
+
+// CHECK-LABEL: start copyH2D-buffer
+// CHECK: ---> piEnqueueMemBufferWrite(
+// CHECK: <unknown> : 64
+// CHECK:  ---> piEnqueueMemBufferWriteRect(
+// CHECK: pi_buff_rect_region width_bytes/height/depth : 64/5/1
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 0
+// CHECK-NEXT: <unknown> : 64
+// CHECK:  ---> piEnqueueMemBufferWriteRect(
+// CHECK: pi_buff_rect_region width_bytes/height/depth : 64/5/3
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK: end copyH2D-buffer
+
+// CHECK-LABEL: start copyD2D-buffer
+// CHECK: ---> piEnqueueMemBufferCopy(
+// CHECK: <unknown> : 64
+// CHECK: ---> piEnqueueMemBufferCopyRect(
+// CHECK: pi_buff_rect_region width_bytes/height/depth : 64/5/1
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK: pi_buff_rect_region width_bytes/height/depth : 64/5/3
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK-NEXT: <unknown> : 64
+// CHECK-NEXT: <unknown> : 320
+// CHECK: end copyD2D-buffer
+
+// CHECK-LABEL: start testFill Buffer
+// CHECK: ---> piEnqueueMemBufferFill(
+// CHECK: <unknown> : 4
+// CHECK-NEXT: <unknown> : 0
+// CHECK-NEXT: <unknown> : 64
+// CHECK: end testFill Buffer
diff --git a/sycl/test-e2e/Plugin/enqueue-arg-order-image.cpp b/sycl/test-e2e/Plugin/enqueue-arg-order-image.cpp
new file mode 100644
index 0000000000000..6975f4aab1902
--- /dev/null
+++ b/sycl/test-e2e/Plugin/enqueue-arg-order-image.cpp
@@ -0,0 +1,405 @@
+// UNSUPPORTED: hip, gpu-intel-pvc
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// Native images are created with host pointers only with host unified memory
+// support, enforce it for this test.
+// RUN: env SYCL_HOST_UNIFIED_MEMORY=1 SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_HOST_UNIFIED_MEMORY=1 SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+
+#include <iostream>
+#include <sycl/accessor.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr long width = 16;
+constexpr long height = 5;
+constexpr long total = width * height;
+
+constexpr long depth = 3;
+constexpr long total3D = total * depth;
+
+void remind() {
+  /*
+    https://www.khronos.org/registry/OpenCL/sdk/2.2/docs/man/html/clEnqueueReadImage.html
+
+    row_pitch in clEnqueueReadImage and input_row_pitch in clEnqueueWriteImage
+    is the length of each row in bytes. This value must be greater than or equal
+    to the element size in bytes × width. If row_pitch (or input_row_pitch) is
+    set to 0, the appropriate row pitch is calculated based on the size of each
+    element in bytes multiplied by width.
+
+    slice_pitch in clEnqueueReadImage and input_slice_pitch in
+    clEnqueueWriteImage is the size in bytes of the 2D slice of the 3D region of
+    a 3D image or each image of a 1D or 2D image array being read or written
+    respectively.
+  */
+
+  std::cout << "For IMAGES" << std::endl;
+  std::cout << "           Region SHOULD be : " << width << "/" << height << "/"
+            << depth << std::endl; // 16/5/3
+  std::cout << "   row_pitch SHOULD be 0 or : " << width * sizeof(sycl::float4)
+            << std::endl; // 0 or 256
+  std::cout << " slice_pitch SHOULD be 0 or : "
+            << width * sizeof(sycl::float4) * height << std::endl
+            << std::endl; // 0 or 1280
+}
+
+// ----------- IMAGES
+
+void testcopyD2HImage() {
+  // copyD2H
+  std::cout << "start copyD2H-Image" << std::endl;
+  // image with write accessor to it in kernel
+  const sycl::image_channel_order ChanOrder = sycl::image_channel_order::rgba;
+  const sycl::image_channel_type ChanType = sycl::image_channel_type::fp32;
+  constexpr auto SYCLRead = sycl::access::mode::read;
+  constexpr auto SYCLWrite = sycl::access::mode::write;
+
+  const sycl::range<1> ImgSize_1D(width);
+  // for a buffer, a range<2> would be  (height, width).
+  // but for an image, the interpretation is reversed. (width, height).
+  const sycl::range<2> ImgSize_2D(width, height);
+  // for a buffer, a range<3> would be (depth, height, width)
+  // but for an image, the interpretation is reversed (width, height, depth)
+  const sycl::range<3> ImgSize_3D(width, height, depth);
+
+  std::vector<sycl::float4> data_from_1D(ImgSize_1D.size(), {1, 2, 3, 4});
+  std::vector<sycl::float4> data_to_1D(ImgSize_1D.size(), {0, 0, 0, 0});
+  std::vector<sycl::float4> data_from_2D(ImgSize_2D.size(), {7, 7, 7, 7});
+  std::vector<sycl::float4> data_to_2D(ImgSize_2D.size(), {0, 0, 0, 0});
+  std::vector<sycl::float4> data_from_3D(ImgSize_3D.size(), {11, 11, 11, 11});
+  std::vector<sycl::float4> data_to_3D(ImgSize_3D.size(), {0, 0, 0, 0});
+
+  {
+    std::cout << "-- 1D" << std::endl;
+    sycl::image<1> image_from_1D(data_from_1D.data(), ChanOrder, ChanType,
+                                 ImgSize_1D);
+    sycl::image<1> image_to_1D(data_to_1D.data(), ChanOrder, ChanType,
+                               ImgSize_1D);
+    queue Q;
+    Q.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_1D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_1D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyD2H_1D>(
+          ImgSize_1D, [=](sycl::item<1> Item) {
+            sycl::float4 Data = readAcc.read(int(Item[0]));
+            writeAcc.write(int(Item[0]), Data);
+          });
+    });
+    std::cout << "about to destruct 1D" << std::endl;
+  } // ~image 1D
+
+  {
+    std::cout << "-- 2D" << std::endl;
+    sycl::image<2> image_from_2D(data_from_2D.data(), ChanOrder, ChanType,
+                                 ImgSize_2D);
+    sycl::image<2> image_to_2D(data_to_2D.data(), ChanOrder, ChanType,
+                               ImgSize_2D);
+    queue Q;
+    Q.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_2D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_2D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyD2H_2D>(
+          ImgSize_2D, [=](sycl::item<2> Item) {
+            sycl::float4 Data = readAcc.read(sycl::int2{Item[0], Item[1]});
+            writeAcc.write(sycl::int2{Item[0], Item[1]}, Data);
+          });
+    });
+    std::cout << "about to destruct 2D" << std::endl;
+  } // ~image 2D
+
+  {
+    std::cout << "-- 3D" << std::endl;
+    sycl::image<3> image_from_3D(data_from_3D.data(), ChanOrder, ChanType,
+                                 ImgSize_3D);
+    sycl::image<3> image_to_3D(data_to_3D.data(), ChanOrder, ChanType,
+                               ImgSize_3D);
+    queue Q;
+    Q.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_3D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_3D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyD2H_3D>(
+          ImgSize_3D, [=](sycl::item<3> Item) {
+            sycl::float4 Data =
+                readAcc.read(sycl::int4{Item[0], Item[1], Item[2], 0});
+            writeAcc.write(sycl::int4{Item[0], Item[1], Item[2], 0}, Data);
+          });
+    });
+    std::cout << "about to destruct 3D" << std::endl;
+  } // ~image 3D
+
+  std::cout << "end copyD2H-Image" << std::endl;
+}
+
+void testcopyH2DImage() {
+  // copy between two queues triggers a copyH2D, followed by a copyD2H
+  // Here we only care about checking copyH2D
+  std::cout << "start copyH2D-image" << std::endl;
+
+  const sycl::image_channel_order ChanOrder = sycl::image_channel_order::rgba;
+  const sycl::image_channel_type ChanType = sycl::image_channel_type::fp32;
+  constexpr auto SYCLRead = sycl::access::mode::read;
+  constexpr auto SYCLWrite = sycl::access::mode::write;
+
+  const sycl::range<1> ImgSize_1D(width);
+  // for a buffer, a range<2> would be  (height, width).
+  // but for an image, the interpretation is reversed. (width, height).
+  const sycl::range<2> ImgSize_2D(width, height);
+  // for a buffer, a range<3> would be (depth, height, width)
+  // but for an image, the interpretation is reversed (width, height, depth)
+  const sycl::range<3> ImgSize_3D(width, height, depth);
+
+  std::vector<sycl::float4> data_from_1D(ImgSize_1D.size(), {1, 2, 3, 4});
+  std::vector<sycl::float4> data_to_1D(ImgSize_1D.size(), {0, 0, 0, 0});
+  std::vector<sycl::float4> data_from_2D(ImgSize_2D.size(), {7, 7, 7, 7});
+  std::vector<sycl::float4> data_to_2D(ImgSize_2D.size(), {0, 0, 0, 0});
+  std::vector<sycl::float4> data_from_3D(ImgSize_3D.size(), {11, 11, 11, 11});
+  std::vector<sycl::float4> data_to_3D(ImgSize_3D.size(), {0, 0, 0, 0});
+
+  // 1D
+  {
+    std::cout << "-- 1D" << std::endl;
+    sycl::image<1> image_from_1D(data_from_1D.data(), ChanOrder, ChanType,
+                                 ImgSize_1D);
+    sycl::image<1> image_to_1D(data_to_1D.data(), ChanOrder, ChanType,
+                               ImgSize_1D);
+    device Dev{default_selector{}};
+    context Ctx{Dev};
+    context otherCtx{Dev};
+
+    queue Q{Ctx, Dev};
+    queue otherQueue{otherCtx, Dev};
+    // first op
+    Q.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_1D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_1D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyH2D_1D>(
+          ImgSize_1D, [=](sycl::item<1> Item) {
+            sycl::float4 Data = readAcc.read(int(Item[0]));
+            writeAcc.write(int(Item[0]), Data);
+          });
+    });
+    Q.wait();
+    // second op
+    otherQueue.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_1D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_1D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyH2D_1D_2nd>(
+          ImgSize_1D, [=](sycl::item<1> Item) {
+            sycl::float4 Data = readAcc.read(int(Item[0]));
+            writeAcc.write(int(Item[0]), Data);
+          });
+    });
+    otherQueue.wait();
+    std::cout << "about to destruct 1D" << std::endl;
+  } // ~image 1D
+
+  // 2D
+  {
+    std::cout << "-- 2D" << std::endl;
+    sycl::image<2> image_from_2D(data_from_2D.data(), ChanOrder, ChanType,
+                                 ImgSize_2D);
+    sycl::image<2> image_to_2D(data_to_2D.data(), ChanOrder, ChanType,
+                               ImgSize_2D);
+    device Dev{default_selector_v};
+    context Ctx{Dev};
+    context otherCtx{Dev};
+
+    queue Q{Ctx, Dev};
+    queue otherQueue{otherCtx, Dev};
+    Q.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_2D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_2D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyH2D_2D>(
+          ImgSize_2D, [=](sycl::item<2> Item) {
+            sycl::float4 Data = readAcc.read(sycl::int2{Item[0], Item[1]});
+            writeAcc.write(sycl::int2{Item[0], Item[1]}, Data);
+          });
+    });
+    Q.wait();
+    // second op
+    otherQueue.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_2D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_2D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyH2D_2D_2nd>(
+          ImgSize_2D, [=](sycl::item<2> Item) {
+            sycl::float4 Data = readAcc.read(sycl::int2{Item[0], Item[1]});
+            writeAcc.write(sycl::int2{Item[0], Item[1]}, Data);
+          });
+    });
+    otherQueue.wait();
+    std::cout << "about to destruct 2D" << std::endl;
+  } // ~image 2D
+
+  // 3D
+  {
+    std::cout << "-- 3D" << std::endl;
+    sycl::image<3> image_from_3D(data_from_3D.data(), ChanOrder, ChanType,
+                                 ImgSize_3D);
+    sycl::image<3> image_to_3D(data_to_3D.data(), ChanOrder, ChanType,
+                               ImgSize_3D);
+    device Dev{default_selector_v};
+    context Ctx{Dev};
+    context otherCtx{Dev};
+
+    queue Q{Ctx, Dev};
+    queue otherQueue{otherCtx, Dev};
+    Q.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_3D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_3D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyH2D_3D>(
+          ImgSize_3D, [=](sycl::item<3> Item) {
+            sycl::float4 Data =
+                readAcc.read(sycl::int4{Item[0], Item[1], Item[2], 0});
+            writeAcc.write(sycl::int4{Item[0], Item[1], Item[2], 0}, Data);
+          });
+    });
+    Q.wait();
+    // second op
+    otherQueue.submit([&](sycl::handler &CGH) {
+      auto readAcc = image_from_3D.get_access<sycl::float4, SYCLRead>(CGH);
+      auto writeAcc = image_to_3D.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.parallel_for<class ImgCopyH2D_3D_2nd>(
+          ImgSize_3D, [=](sycl::item<3> Item) {
+            sycl::float4 Data =
+                readAcc.read(sycl::int4{Item[0], Item[1], Item[2], 0});
+            writeAcc.write(sycl::int4{Item[0], Item[1], Item[2], 0}, Data);
+          });
+    });
+    otherQueue.wait();
+    std::cout << "about to destruct 3D" << std::endl;
+  } // ~image 3D
+
+  std::cout << "end copyH2D-image" << std::endl;
+}
+
+// --------------
+
+int main() {
+
+  remind();
+  testcopyD2HImage();
+  testcopyH2DImage();
+  // TODO  .copy() and .fill() not yet supported for images
+  // add tests once they are.
+}
+
+// ----------- IMAGES
+
+// clang-format off
+//CHECK: start copyD2H-Image
+//CHECK: -- 1D
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 1 / 1  --  arrSz/row/slice : 0 / 256 / 256  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4340
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 1 / 1  --  arrSz/row/slice : 0 / 256 / 256  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4340
+//CHECK: about to destruct 1D
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/1/1
+//CHECK: -- 2D
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 1  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 1  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+//CHECK: about to destruct 2D
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/5/1
+// CHECK-NEXT: <unknown> : 256
+//CHECK: -- 3D
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 3  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4338
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 3  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4338
+//CHECK: about to destruct 3D
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/5/3
+// CHECK-NEXT: <unknown> : 256
+// CHECK-NEXT: <unknown> : 1280
+//CHECK: end copyD2H-Image
+
+//CHECK: start copyH2D-image
+//CHECK: -- 1D
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 1 / 1  --  arrSz/row/slice : 0 / 256 / 256  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4340
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 1 / 1  --  arrSz/row/slice : 0 / 256 / 256  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4340
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 1 / 1  --  arrSz/row/slice : 0 / 0 / 0  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4340
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/1/1
+// The order of the following calls may vary since some of them are made by a
+// host task (in a separate thread).
+//CHECK-DAG: ---> piMemImageCreate(
+//CHECK-DAG: image_desc w/h/d : 16 / 1 / 1  --  arrSz/row/slice : 0 / 0 / 0  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4340
+//CHECK-DAG: ---> piEnqueueMemImageRead(
+//CHECK-DAG: pi_image_region width/height/depth : 16/1/1
+//CHECK-DAG: ---> piEnqueueMemImageWrite(
+//CHECK-DAG: pi_image_region width/height/depth : 16/1/1
+//CHECK-DAG: ---> piEnqueueMemImageWrite(
+//CHECK-DAG: pi_image_region width/height/depth : 16/1/1
+//CHECK: about to destruct 1D
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/1/1
+//CHECK: -- 2D
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 1  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 1  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 1  --  arrSz/row/slice : 0 / 0 / 0  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/5/1
+// The order of the following calls may vary since some of them are made by a
+// host task (in a separate thread).
+//CHECK-DAG: ---> piMemImageCreate(
+//CHECK-DAG: image_desc w/h/d : 16 / 5 / 1  --  arrSz/row/slice : 0 / 0 / 0  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+//CHECK-DAG: ---> piEnqueueMemImageRead(
+//CHECK-DAG: pi_image_region width/height/depth : 16/5/1
+//CHECK-DAG: ---> piEnqueueMemImageWrite(
+//CHECK-DAG: pi_image_region width/height/depth : 16/5/1
+//CHECK-DAG: <unknown> : 256
+//CHECK-DAG: ---> piEnqueueMemImageWrite(
+//CHECK-DAG: pi_image_region width/height/depth : 16/5/1
+//CHECK-DAG: <unknown> : 256
+//CHECK: about to destruct 2D
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/5/1
+//CHECK: -- 3D
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 3  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4338
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 3  --  arrSz/row/slice : 0 / 256 / 1280  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4338
+//CHECK: ---> piMemImageCreate(
+//CHECK: image_desc w/h/d : 16 / 5 / 3  --  arrSz/row/slice : 0 / 0 / 0  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4338
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/5/3
+// The order of the following calls may vary since some of them are made by a
+// host task (in a separate thread).
+//CHECK-DAG: ---> piMemImageCreate(
+//CHECK-DAG: image_desc w/h/d : 16 / 5 / 3  --  arrSz/row/slice : 0 / 0 / 0  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4338
+//CHECK-DAG: ---> piEnqueueMemImageRead(
+//CHECK-DAG: pi_image_region width/height/depth : 16/5/3
+//CHECK-DAG: ---> piEnqueueMemImageWrite(
+//CHECK-DAG: pi_image_region width/height/depth : 16/5/3
+//CHECK-DAG: <unknown> : 256
+//CHECK-DAG: <unknown> : 1280
+//CHECK-DAG: ---> piEnqueueMemImageWrite(
+//CHECK-DAG: pi_image_region width/height/depth : 16/5/3
+//CHECK-DAG: <unknown> : 256
+//CHECK-DAG: <unknown> : 1280
+//CHECK: about to destruct 3D
+//CHECK: ---> piEnqueueMemImageRead(
+//CHECK: pi_image_region width/height/depth : 16/5/3
+// CHECK-NEXT: <unknown> : 256
+// CHECK-NEXT: <unknown> : 1280
+//CHECK: end copyH2D-image
+// clang-format on
diff --git a/sycl/test-e2e/Plugin/interop-buffer-cuda.cpp b/sycl/test-e2e/Plugin/interop-buffer-cuda.cpp
new file mode 100644
index 0000000000000..11e063ae0d7dc
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-buffer-cuda.cpp
@@ -0,0 +1,29 @@
+// REQUIRES: cuda
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--- interop-cuda.cpp - SYCL test for CUDA buffer interop API ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  int Data[1] = {0};
+  sycl::buffer<int, 1> Buffer(&Data[0], sycl::range<1>(1));
+  {
+    sycl::queue Queue{sycl::gpu_selector_v};
+    Queue.submit([&](sycl::handler &cgh) {
+      auto Acc = Buffer.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task<class kernel>([=]() { (void)Acc; });
+    });
+  }
+
+  auto NativeObj = sycl::get_native<sycl::backend::ext_oneapi_cuda>(Buffer);
+  assert(NativeObj != 0);
+}
diff --git a/sycl/test-e2e/Plugin/interop-cuda-experimental.cpp b/sycl/test-e2e/Plugin/interop-cuda-experimental.cpp
new file mode 100644
index 0000000000000..f5c1fac18cd53
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-cuda-experimental.cpp
@@ -0,0 +1,156 @@
+// REQUIRES: cuda && cuda_dev_kit
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %cuda_options %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#define SYCL_EXT_ONEAPI_BACKEND_CUDA_EXPERIMENTAL 1
+#include <sycl/ext/oneapi/experimental/backend/cuda.hpp>
+#include <sycl/sycl.hpp>
+
+#include <cuda.h>
+
+#include <assert.h>
+
+void cuda_check(CUresult error) { assert(error == CUDA_SUCCESS); }
+
+template <typename refT, typename T> void check_type(T var) {
+  static_assert(std::is_same_v<decltype(var), refT>);
+}
+
+#define CUDA_CHECK(error) cuda_check(error)
+
+bool check_queue(sycl::queue &Q) {
+  constexpr size_t vec_size = 5;
+  double A_Data[vec_size] = {4.0};
+  double B_Data[vec_size] = {-3.0};
+  double C_Data[vec_size] = {0.0};
+
+  sycl::buffer<double, 1> A_buff(A_Data, sycl::range<1>(vec_size));
+  sycl::buffer<double, 1> B_buff(B_Data, sycl::range<1>(vec_size));
+  sycl::buffer<double, 1> C_buff(C_Data, sycl::range<1>(vec_size));
+
+  Q.submit([&](sycl::handler &cgh) {
+     auto A_acc = A_buff.get_access<sycl::access::mode::read>(cgh);
+     auto B_acc = B_buff.get_access<sycl::access::mode::read>(cgh);
+     auto C_acc = C_buff.get_access<sycl::access::mode::write>(cgh);
+     cgh.parallel_for(sycl::range<1>{vec_size}, [=](sycl::id<1> idx) {
+       C_acc[idx] = A_acc[idx] + B_acc[idx];
+     });
+   }).wait();
+
+  sycl::host_accessor C_acc(C_buff);
+  return C_acc[0] == 1;
+}
+
+int main() {
+  sycl::queue Q;
+
+  CUcontext Q_cu_ctx;
+  auto native_queue = sycl::get_native<sycl::backend::ext_oneapi_cuda>(Q);
+  check_type<CUstream>(native_queue);
+  CUDA_CHECK(cuStreamGetCtx(native_queue, &Q_cu_ctx));
+  auto Q_sycl_ctx =
+      sycl::make_context<sycl::backend::ext_oneapi_cuda>(Q_cu_ctx);
+
+  // Create sycl queue with queue construct from Q's native types and submit
+  // some work
+  {
+    sycl::queue new_Q(Q_sycl_ctx, sycl::default_selector_v);
+    assert(check_queue(new_Q));
+  }
+
+  // Check Q still works
+  assert(check_queue(Q));
+
+  // Get native cuda device
+  CUdevice cu_dev;
+  CUDA_CHECK(cuDeviceGet(&cu_dev, 0));
+  auto sycl_dev = sycl::make_device<sycl::backend::ext_oneapi_cuda>(cu_dev);
+  auto native_dev = sycl::get_native<sycl::backend::ext_oneapi_cuda>(sycl_dev);
+
+  check_type<sycl::device>(sycl_dev);
+  check_type<CUdevice>(native_dev);
+  assert(native_dev == cu_dev);
+
+  // Create sycl queue with new device and submit some work
+  {
+    sycl::queue new_Q(sycl_dev);
+    assert(check_queue(new_Q));
+  }
+
+  // Create new context
+  CUcontext curr_ctx, cu_ctx;
+  CUDA_CHECK(cuCtxGetCurrent(&curr_ctx));
+  CUDA_CHECK(cuCtxCreate(&cu_ctx, CU_CTX_MAP_HOST, cu_dev));
+  CUDA_CHECK(cuCtxSetCurrent(curr_ctx));
+
+  auto sycl_ctx = sycl::make_context<sycl::backend::ext_oneapi_cuda>(cu_ctx);
+  auto native_ctx = sycl::get_native<sycl::backend::ext_oneapi_cuda>(sycl_ctx);
+
+  check_type<sycl::context>(sycl_ctx);
+  check_type<std::vector<CUcontext>>(native_ctx);
+
+  // Create sycl queue with new queue and submit some work
+  {
+    sycl::queue new_Q(sycl_ctx, sycl::default_selector_v);
+    assert(check_queue(new_Q));
+  }
+
+  // Create new event
+  CUevent cu_event;
+
+  CUDA_CHECK(cuCtxSetCurrent(cu_ctx));
+  CUDA_CHECK(cuEventCreate(&cu_event, CU_EVENT_DEFAULT));
+
+  auto sycl_event =
+      sycl::make_event<sycl::backend::ext_oneapi_cuda>(cu_event, sycl_ctx);
+  auto native_event =
+      sycl::get_native<sycl::backend::ext_oneapi_cuda>(sycl_event);
+
+  check_type<sycl::event>(sycl_event);
+  check_type<CUevent>(native_event);
+
+  // Check sycl queue with sycl_ctx still works
+  {
+    sycl::queue new_Q(sycl_ctx, sycl::default_selector_v);
+    assert(check_queue(new_Q));
+  }
+
+  // Check has_native_event
+  {
+    auto e = Q.submit([&](sycl::handler &cgh) { cgh.single_task([] {}); });
+    assert(sycl::ext::oneapi::cuda::has_native_event(e));
+  }
+
+  {
+    auto e = Q.submit([&](sycl::handler &cgh) { cgh.host_task([] {}); });
+    assert(!sycl::ext::oneapi::cuda::has_native_event(e));
+  }
+
+  // Create new queue
+  CUstream cu_queue;
+  CUDA_CHECK(cuCtxSetCurrent(cu_ctx));
+  CUDA_CHECK(cuStreamCreate(&cu_queue, CU_STREAM_DEFAULT));
+
+  auto sycl_queue =
+      sycl::make_queue<sycl::backend::ext_oneapi_cuda>(cu_queue, sycl_ctx);
+  native_queue = sycl::get_native<sycl::backend::ext_oneapi_cuda>(sycl_queue);
+
+  check_type<sycl::queue>(sycl_queue);
+  check_type<CUstream>(native_queue);
+
+  // Submit some work to new queue
+  assert(check_queue(sycl_queue));
+
+  // Create new queue with Q's native type and submit some work
+  {
+    CUstream Q_native_stream =
+        sycl::get_native<sycl::backend::ext_oneapi_cuda>(Q);
+    sycl::queue new_Q = sycl::make_queue<sycl::backend::ext_oneapi_cuda>(
+        Q_native_stream, Q_sycl_ctx);
+    assert(check_queue(new_Q));
+  }
+
+  // Check Q still works
+  assert(check_queue(Q));
+}
diff --git a/sycl/test-e2e/Plugin/interop-experimental-single-TU-SYCL-CUDA-compilation.cpp b/sycl/test-e2e/Plugin/interop-experimental-single-TU-SYCL-CUDA-compilation.cpp
new file mode 100644
index 0000000000000..048d1625c40ae
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-experimental-single-TU-SYCL-CUDA-compilation.cpp
@@ -0,0 +1,207 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %cuda_options -lcudart -lcuda -x cuda %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// REQUIRES: cuda && cuda_dev_kit
+
+#include <cuda.h>
+#include <sycl/sycl.hpp>
+
+// ------------------------------------------------------------------------- //
+
+// device-sum: test_cuda_function_0 = X
+// host-sum: test_cuda_function_0 = -X
+template <typename T> __device__ T test_cuda_function_0(T a, T b) {
+  return a + b;
+}
+template <typename T> __host__ T test_cuda_function_0(T a, T b) {
+  return -a - b;
+}
+
+// device-sum: test_cuda_function_2 + test_cuda_function_3 = 0
+// host-sum: test_cuda_function_3 = 0
+__device__ inline float test_cuda_function_2(float a, float b) {
+  return -sin(a) + b;
+}
+__device__ inline float test_cuda_function_3(float a, float b) {
+  return sin(a) - b;
+}
+__host__ inline float test_cuda_function_3(float a, float b) { return 0; }
+
+// device/host-sum: test_cuda_function_4 = 0
+__device__ __host__ inline float test_cuda_function_4(float a, float b) {
+  return (a - b) + (b - a);
+}
+
+// device-sum: test_cuda_function_5 + test_cuda_function_6 = 0
+// host-sum: test_cuda_function_5 + test_cuda_function_6 = 0
+__host__ inline float test_cuda_function_5(float a, float b) { return 1.0f; }
+__device__ inline float test_cuda_function_5(float a, float b) {
+  return -a + cos(b);
+}
+__host__ float test_cuda_function_6(float a, float b) { return -1.0f; }
+__device__ float test_cuda_function_6(float a, float b) { return a - cos(b); }
+
+// Test the correct emission of __host__/__device__ functions for the host and
+// sycl-device compilation by verifying that b_host = -b_dev.
+void test_cuda_function_selection(sycl::queue &q) {
+
+  const int n0 = 512;
+  const sycl::range<1> r0{n0};
+
+  sycl::buffer<float, 1> b_a{n0}, b_b{n0}, b_host{n0}, b_dev{n0};
+
+  {
+    sycl::host_accessor a{b_a, sycl::write_only};
+    sycl::host_accessor b{b_b, sycl::write_only};
+    sycl::host_accessor c{b_host, sycl::write_only};
+
+    for (size_t i = 0; i < n0; i++) {
+      a[i] = sin(i) * sin(i);
+      b[i] = cos(i) * cos(i);
+      c[i] = test_cuda_function_0(a[i], b[i]) +  //<-- __host__
+             test_cuda_function_3(a[i], b[i]) +  //<-- __host__
+             test_cuda_function_4(a[i], b[i]) +  //<-- __host__ __device__
+             (test_cuda_function_5(a[i], b[i]) + //<-- __host__
+              test_cuda_function_6(a[i], b[i])); //<-- __host__
+    }
+  }
+
+  q.submit([&](sycl::handler &h) {
+    sycl::accessor a{b_a, h, sycl::read_only};
+    sycl::accessor b{b_b, h, sycl::read_only};
+    sycl::accessor c{b_dev, h, sycl::write_only};
+
+    h.parallel_for(r0, [=](sycl::id<1> i) {
+      c[i] = test_cuda_function_0(a[i], b[i]) +   //<-- __device__
+             (test_cuda_function_2(a[i], b[i]) +  //<-- __device__
+              test_cuda_function_3(a[i], b[i])) + //<-- __device__
+             test_cuda_function_4(a[i], b[i]) +   //<-- __host__ __device__
+             (test_cuda_function_5(a[i], b[i]) +  //<-- __device__
+              test_cuda_function_6(a[i], b[i]));  //<-- __device__
+    });
+  });
+
+  {
+    sycl::host_accessor c1{b_host, sycl::read_only};
+    sycl::host_accessor c2{b_dev, sycl::read_only};
+    for (size_t i = 0; i < n0; i++) {
+      // b_host = -1 b_dev
+      assert((c1[i] + c2[i] < 1e-5) && "Results mismatch!");
+    }
+  }
+}
+
+// ------------------------------------------------------------------------- //
+
+__device__ int test_cuda_function_1() {
+  return blockIdx.x * blockDim.x + threadIdx.x;
+}
+
+__global__ void test_cuda_kernel(int *out) {
+  int i = blockIdx.x * blockDim.x + threadIdx.x;
+  out[i] = i - test_cuda_function_1();
+}
+
+// Test CUDA kernel launch and CUDA API.
+void test_cuda_kernel_launch() {
+  // CUDA
+  const int n = 512;
+  std::vector<int> result(n, -1);
+  int *cuda_kern_result = NULL;
+
+  int block_size = 128;
+  dim3 dimBlock(block_size, 1, 1);
+  dim3 dimGrid(n / block_size, 1, 1);
+
+  cudaMalloc((void **)&cuda_kern_result, n * sizeof(int));
+
+  test_cuda_kernel<<<n / block_size, block_size>>>(cuda_kern_result);
+
+  cudaError_t error = cudaGetLastError();
+  if (error != cudaSuccess)
+    std::cerr << "CUDA ERROR: " << error << " " << cudaGetErrorString(error)
+              << std::endl;
+
+  cudaMemcpy(result.data(), cuda_kern_result, n * sizeof(int),
+             cudaMemcpyDeviceToHost);
+
+  for (size_t i = 0; i < n; i++)
+    assert((0 == result[i]) && "Kernel execution fail!");
+
+  cudaFree(cuda_kern_result);
+}
+
+// ------------------------------------------------------------------------- //
+
+__host__ float test_cuda_function_7() { return -1; }
+__device__ float test_cuda_function_7() { return 1; }
+
+__host__ float test_cuda_function_8() { return 3; }
+
+__device__ float test_cuda_function_9() { return 9; }
+
+int test_regular_function_0() { return test_cuda_function_7(); }
+
+int test_regular_function_1() { return test_cuda_function_8(); }
+
+int test_regular_function_2() { return test_cuda_function_9(); }
+
+// Test the correct emission of __device__/__host__ function when called by
+// regular functions.
+void test_regular_functions(sycl::queue &q) {
+
+  // regular func must returning the __host__ one (so, 1.0f)
+  assert((test_regular_function_0() == -1) &&
+         "Mismatch regular func to __host__");
+  assert((test_regular_function_1() == 3) &&
+         "Mismatch regular func to __host__");
+
+  sycl::buffer<int, 1> b_r{3};
+  q.submit([&](sycl::handler &h) {
+    sycl::accessor r{b_r, h, sycl::write_only};
+
+    h.single_task([=]() {
+      r[0] = test_regular_function_0(); //<-- points to __device__
+      r[1] = test_regular_function_1(); //<-- points to __host__
+      r[2] = test_regular_function_2(); //<-- points to __device__
+    });
+  });
+
+  sycl::host_accessor r{b_r, sycl::read_only};
+  assert((r[0] == 1) && "Mismatch regular func to __device__");
+  assert((r[1] == 3) && "Mismatch regular func to __host__");
+  assert((r[2] == 9) && "Mismatch regular func to __device__");
+}
+
+// ------------------------------------------------------------------------- //
+
+// Tests the result of a function that calls CUDA device builtins.
+void test_ids(sycl::queue &q) {
+
+  const size_t n1 = 2048;
+  const sycl::range<1> r1{n1};
+  sycl::buffer<int, 1> b_idx{n1};
+  q.submit([&](sycl::handler &h) {
+    sycl::accessor d_idx{b_idx, h, sycl::write_only};
+
+    h.parallel_for(r1,
+                   [=](sycl::id<1> i) { d_idx[i] = test_cuda_function_1(); });
+  });
+
+  sycl::host_accessor h_idx{b_idx, sycl::read_only};
+  for (size_t i = 0; i < n1; i++)
+    assert((i == h_idx[i]) && "CUDA index mismatch!");
+}
+
+// ------------------------------------------------------------------------- //
+
+int main(int argc, char **argv) {
+
+  sycl::queue q{sycl::gpu_selector_v};
+
+  test_cuda_function_selection(q);
+  test_cuda_kernel_launch();
+  test_regular_functions(q);
+  test_ids(q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-buffer-helpers.hpp b/sycl/test-e2e/Plugin/interop-level-zero-buffer-helpers.hpp
new file mode 100644
index 0000000000000..4b9e4b2bb4de7
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-buffer-helpers.hpp
@@ -0,0 +1,19 @@
+#pragma once
+#include "interop-level-zero-buffer-helpers.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using namespace sycl;
+
+bool is_discrete(const device &Device) {
+  auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+  ze_device_properties_t ZeDeviceProps;
+  ZeDeviceProps.stype = ZE_STRUCTURE_TYPE_DEVICE_PROPERTIES;
+  ZeDeviceProps.pNext = nullptr;
+  zeDeviceGetProperties(ZeDevice, &ZeDeviceProps);
+  return !(ZeDeviceProps.flags & ZE_DEVICE_PROPERTY_FLAG_INTEGRATED);
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-buffer-multi-dim.cpp b/sycl/test-e2e/Plugin/interop-level-zero-buffer-multi-dim.cpp
new file mode 100644
index 0000000000000..6f15fa3c2f91f
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-buffer-multi-dim.cpp
@@ -0,0 +1,123 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='level_zero:*' %GPU_RUN_PLACEHOLDER %t.out
+
+// Test 2D and 3D interoperability buffers for the Level Zero backend.
+
+#include "interop-level-zero-buffer-helpers.hpp"
+#include <sycl/sycl.hpp>
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using namespace sycl;
+
+int main() {
+#ifdef SYCL_EXT_ONEAPI_BACKEND_LEVEL_ZERO
+  try {
+    platform Plt{gpu_selector_v};
+
+    auto Devices = Plt.get_devices();
+
+    if (Devices.size() < 1) {
+      std::cout << "Devices not found" << std::endl;
+      return 0;
+    }
+
+    device Device = Devices[0];
+    context Context{Device};
+    queue Queue{Context, Device};
+
+    // Get native Level Zero handles
+    auto ZeContext = get_native<backend::ext_oneapi_level_zero>(Context);
+    auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+
+    ze_host_mem_alloc_desc_t HostDesc = {};
+    HostDesc.stype = ZE_STRUCTURE_TYPE_HOST_MEM_ALLOC_DESC;
+    HostDesc.pNext = nullptr;
+    HostDesc.flags = 0;
+
+    ze_device_mem_alloc_desc_t DeviceDesc = {};
+    DeviceDesc.stype = ZE_STRUCTURE_TYPE_DEVICE_MEM_ALLOC_DESC;
+    DeviceDesc.ordinal = 0;
+    DeviceDesc.flags = 0;
+    DeviceDesc.pNext = nullptr;
+
+    // Test case #1
+    // Check 2D buffer
+    void *NativeBuffer = nullptr;
+    if (is_discrete(Device))
+      zeMemAllocDevice(ZeContext, &DeviceDesc, 24 * sizeof(int), 1, ZeDevice,
+                       &NativeBuffer);
+    else
+      zeMemAllocHost(ZeContext, &HostDesc, 24 * sizeof(int), 1, &NativeBuffer);
+    {
+      backend_input_t<backend::ext_oneapi_level_zero, buffer<int, 1>>
+          BufferInteropInput = {NativeBuffer,
+                                ext::oneapi::level_zero::ownership::keep};
+      auto BufferInterop = make_buffer<backend::ext_oneapi_level_zero, int, 1>(
+          BufferInteropInput, Context);
+
+      auto Buf2D = BufferInterop.reinterpret<int>(range<2>(4, 6));
+
+      Queue.submit([&](sycl::handler &CGH) {
+        auto Acc2D = Buf2D.get_access<sycl::access::mode::read_write>(CGH);
+        CGH.single_task<class SimpleKernel2D>([=]() {
+          for (int i = 0; i < 4; i++) {
+            for (int j = 0; j < 6; j++) {
+              Acc2D[i][j] = i + j;
+            }
+          }
+        });
+      });
+      Queue.wait();
+
+      {
+        auto HostAcc2D = Buf2D.get_host_access();
+        for (int i = 0; i < 4; i++) {
+          for (int j = 0; j < 6; j++) {
+            assert(HostAcc2D[i][j] == i + j);
+          }
+        }
+      }
+
+      // Test case #2
+      // Check 3D buffer
+      auto Buf3D = BufferInterop.reinterpret<int>(range<3>(4, 2, 3));
+
+      Queue.submit([&](sycl::handler &CGH) {
+        auto Acc3D = Buf3D.get_access<sycl::access::mode::read_write>(CGH);
+        CGH.single_task<class SimpleKernel3D>([=]() {
+          for (int i = 0; i < 4; i++) {
+            for (int j = 0; j < 2; j++) {
+              for (int k = 0; k < 3; k++) {
+                Acc3D[i][j][k] = i + j + k;
+              }
+            }
+          }
+        });
+      });
+      Queue.wait();
+      {
+        auto HostAcc3D = Buf3D.get_host_access();
+        for (int i = 0; i < 4; i++) {
+          for (int j = 0; j < 2; j++) {
+            for (int k = 0; k < 3; k++) {
+              assert(HostAcc3D[i][j][k] == i + j + k);
+            }
+          }
+        }
+      }
+    }
+    zeMemFree(ZeContext, NativeBuffer);
+  } catch (sycl::exception &e) {
+    std::cout << e.what() << std::endl;
+    return 0;
+  }
+#else
+  std::cout << "Test skipped due to missing support for Level-Zero backend."
+            << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-buffer-ownership.cpp b/sycl/test-e2e/Plugin/interop-level-zero-buffer-ownership.cpp
new file mode 100644
index 0000000000000..efe48a1451e7b
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-buffer-ownership.cpp
@@ -0,0 +1,144 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+// L0 plugin incorrectly reports memory leaks because it doesn't take into
+// account direct calls to L0 API.
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_DISABLE_USM_ALLOCATOR=1 ONEAPI_DEVICE_SELECTOR='level_zero:*' ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck %s
+
+// Test for Level Zero buffer interop API.
+// Check the following cases:
+// 1. User-provided memory allocation is not freed by DPCPP RT if
+// "keep" ownership is specified.
+// 2. User-provided memory allocation is freed by DPCPP RT if
+// "transfer" ownership is specified.
+
+// NOTE: SYCL RT will see unbalanced count of alloc/free,
+// so this test will fail with ZE_DEBUG=4.
+
+// Keep ownership
+// CHECK: zeMemFree
+
+// Transfer ownership
+// CHECK: zeMemFree
+// CHECK: zeMemFree
+
+// No other calls to zeMemFree
+// CHECK-NOT: zeMemFree
+
+#include "interop-level-zero-buffer-helpers.hpp"
+#include <sycl/sycl.hpp>
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using namespace sycl;
+
+// Test copy back depending on provided ownership and check that memory is freed
+// properly.
+void test_copyback_and_free(
+    queue &Queue1, queue &Queue2,
+    const ext::oneapi::level_zero::ownership &Ownership) {
+  try {
+    auto Context = Queue1.get_context();
+    auto Device = Queue1.get_info<info::queue::device>();
+
+    // Get native Level Zero handles
+    auto ZeContext = get_native<backend::ext_oneapi_level_zero>(Context);
+    auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+
+    ze_device_mem_alloc_desc_t DeviceDesc = {};
+    DeviceDesc.stype = ZE_STRUCTURE_TYPE_DEVICE_MEM_ALLOC_DESC;
+    DeviceDesc.ordinal = 0;
+    DeviceDesc.flags = 0;
+    DeviceDesc.pNext = nullptr;
+
+    ze_host_mem_alloc_desc_t HostDesc = {};
+    HostDesc.stype = ZE_STRUCTURE_TYPE_HOST_MEM_ALLOC_DESC;
+    HostDesc.pNext = nullptr;
+    HostDesc.flags = 0;
+
+    void *NativeBuffer = nullptr;
+    if (is_discrete(Device))
+      // Use shared allocation (the check contents on the host later) associated
+      // with a device if the device is discreet.
+      zeMemAllocShared(ZeContext, &DeviceDesc, &HostDesc, 12 * sizeof(int), 1,
+                       ZeDevice, &NativeBuffer);
+    else
+      // Use host allocation if device is integrated.
+      zeMemAllocHost(ZeContext, &HostDesc, 12 * sizeof(int), 1, &NativeBuffer);
+
+    backend_input_t<backend::ext_oneapi_level_zero, buffer<int, 1>>
+        BufferInteropInput = {NativeBuffer, Ownership};
+    {
+      auto BufferInterop = make_buffer<backend::ext_oneapi_level_zero, int, 1>(
+          BufferInteropInput, Context);
+
+      auto Event = Queue1.submit([&](sycl::handler &CGH) {
+        auto Acc =
+            BufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+        CGH.single_task<class SimpleKernel6>([=]() {
+          for (int i = 0; i < 12; i++) {
+            Acc[i] = 99;
+          }
+        });
+      });
+      Event.wait();
+
+      // Submit in a different context
+      Queue2.submit([&](sycl::handler &CGH) {
+        auto Acc =
+            BufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+        CGH.single_task<class SimpleKernel7>([=]() {
+          for (int i = 0; i < 12; i++) {
+            Acc[i] *= 2;
+          }
+        });
+      });
+
+      Queue2.wait();
+    }
+    if (Ownership == ext::oneapi::level_zero::ownership::keep)
+      zeMemFree(ZeContext, NativeBuffer);
+  } catch (sycl::exception &e) {
+    std::cout << e.what() << std::endl;
+  }
+}
+
+int main() {
+#ifdef SYCL_EXT_ONEAPI_BACKEND_LEVEL_ZERO
+  try {
+    platform Plt{gpu_selector_v};
+
+    auto Devices = Plt.get_devices();
+
+    if (Devices.size() < 1) {
+      std::cout << "Devices not found" << std::endl;
+      return 0;
+    }
+
+    device Dev1 = Devices[0];
+    context Context1{Dev1};
+    queue Queue1{Context1, Dev1};
+
+    device Dev2 = Devices.size() > 1 ? Devices[1] : Devices[0];
+    context Context2{Dev2};
+    queue Queue2{Context2, Dev2};
+
+    std::cout << "Test case #1: Keep ownership" << std::endl;
+    test_copyback_and_free(Queue1, Queue2,
+                           ext::oneapi::level_zero::ownership::keep);
+
+    std::cout << "Test case #2: Transfer ownership" << std::endl;
+    test_copyback_and_free(Queue1, Queue2,
+                           ext::oneapi::level_zero::ownership::transfer);
+
+  } catch (exception &e) {
+    std::cout << e.what() << std::endl;
+  }
+#else
+  std::cout << "Test skipped due to missing support for Level-Zero backend."
+            << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-buffer.cpp b/sycl/test-e2e/Plugin/interop-level-zero-buffer.cpp
new file mode 100644
index 0000000000000..1b0f0de218527
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-buffer.cpp
@@ -0,0 +1,310 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// L0 plugin incorrectly reports memory leaks because it doesn't take into
+// account direct calls to L0 API.
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR='level_zero:*' ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out
+
+// Test interoperability buffer for the Level Zer backend
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using namespace sycl;
+
+class DiscreteSelector : public sycl::device_selector {
+public:
+  int operator()(const sycl::device &Device) const final {
+    if (!Device.is_gpu() ||
+        Device.get_backend() != backend::ext_oneapi_level_zero)
+      return -1;
+    auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+    ze_device_properties_t ZeDeviceProps;
+    ZeDeviceProps.stype = ZE_STRUCTURE_TYPE_DEVICE_PROPERTIES;
+    ZeDeviceProps.pNext = nullptr;
+    zeDeviceGetProperties(ZeDevice, &ZeDeviceProps);
+    if (!(ZeDeviceProps.flags & ZE_DEVICE_PROPERTY_FLAG_INTEGRATED))
+      return 100;
+    return -1;
+  }
+};
+
+int main() {
+#ifdef SYCL_EXT_ONEAPI_BACKEND_LEVEL_ZERO
+  try {
+    queue Queue{};
+
+    auto Context = Queue.get_info<info::queue::context>();
+    auto Device = Queue.get_info<info::queue::device>();
+
+    // Get native Level Zero handles
+    auto ZeContext = get_native<backend::ext_oneapi_level_zero>(Context);
+    auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+
+    ze_host_mem_alloc_desc_t HostDesc = {};
+    HostDesc.stype = ZE_STRUCTURE_TYPE_HOST_MEM_ALLOC_DESC;
+    HostDesc.pNext = nullptr;
+    HostDesc.flags = 0;
+
+    // Test case #1
+    // Check API
+    void *HostBuffer1 = nullptr;
+    zeMemAllocHost(ZeContext, &HostDesc, 10, 1, &HostBuffer1);
+
+    backend_input_t<backend::ext_oneapi_level_zero, buffer<char, 1>>
+        HostBufferInteropInput1 = {
+            HostBuffer1, ext::oneapi::level_zero::ownership::transfer};
+    auto HostBufferInterop1 =
+        make_buffer<backend::ext_oneapi_level_zero, char, 1>(
+            HostBufferInteropInput1, Context);
+
+    auto Event = Queue.single_task([=]() {});
+
+    void *HostBuffer2 = nullptr;
+    zeMemAllocHost(ZeContext, &HostDesc, 12 * sizeof(int), 1, &HostBuffer2);
+    backend_input_t<backend::ext_oneapi_level_zero, buffer<int, 1>>
+        HostBufferInteropInput2 = {
+            HostBuffer2, ext::oneapi::level_zero::ownership::transfer};
+    auto HostBufferInterop2 =
+        make_buffer<backend::ext_oneapi_level_zero, int, 1>(
+            HostBufferInteropInput2, Context, Event);
+
+    Queue.submit([&](sycl::handler &CGH) {
+      auto Acc1 =
+          HostBufferInterop1.get_access<sycl::access::mode::read_write>(CGH);
+      auto Acc2 = HostBufferInterop2.get_access<sycl::access::mode::read_write>(
+          CGH, range<1>(12));
+
+      CGH.single_task<class SimpleKernel1>([=]() {
+        for (int i = 0; i < 10; i++) {
+          Acc1[i] = 'a';
+        }
+
+        for (int i = 0; i < 12; i++) {
+          Acc2[i] = 10;
+        }
+      });
+    });
+    Queue.wait();
+
+    {
+      auto HostAcc1 = HostBufferInterop1.get_host_access();
+      for (int i = 0; i < 10; i++) {
+        assert(HostAcc1[i] == 'a');
+      }
+
+      auto HostAcc2 = HostBufferInterop2.get_host_access();
+      for (int i = 0; i < 12; i++) {
+        assert(HostAcc2[i] == 10);
+      }
+    }
+
+    // Test case #2
+    // Check sub-buffer creation
+    auto SubBuffer1 = buffer(HostBufferInterop2, id<1>(0), range<1>(3));
+    auto SubBuffer2 = buffer(HostBufferInterop2, id<1>(3), range<1>(9));
+
+    Queue.submit([&](sycl::handler &CGH) {
+      auto Acc1 = SubBuffer1.get_access<sycl::access::mode::read_write>(CGH);
+      auto Acc2 = SubBuffer2.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel2>([=]() {
+        for (int i = 0; i < 3; i++) {
+          Acc1[i] = 77;
+        }
+        for (int i = 0; i < 9; i++) {
+          Acc2[i] = 99;
+        }
+      });
+    });
+    Queue.wait();
+
+    {
+      auto HostAcc1 = SubBuffer1.get_host_access();
+      for (int i = 0; i < 3; i++) {
+        assert(HostAcc1[i] == 77);
+      }
+    }
+    {
+      auto HostAcc2 = SubBuffer2.get_host_access();
+
+      for (int i = 0; i < 9; i++) {
+        assert(HostAcc2[i] == 99);
+      }
+    }
+
+    // Test case #3
+    // Use buffer in two different contexts
+    context Context1;
+    queue Queue1(Context1, default_selector_v);
+    Queue1.submit([&](sycl::handler &CGH) {
+      auto Acc =
+          HostBufferInterop2.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel3>([=]() {
+        for (int i = 0; i < 12; i++) {
+          Acc[i] = 99;
+        }
+      });
+    });
+
+    context Context2;
+    queue Queue2(Context2, default_selector_v);
+    Queue2.submit([&](sycl::handler &CGH) {
+      auto Acc =
+          HostBufferInterop2.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel4>([=]() {
+        for (int i = 0; i < 12; i++) {
+          Acc[i] *= 2;
+        }
+      });
+    });
+
+    {
+      auto HostAcc = HostBufferInterop2.get_host_access();
+
+      for (int i = 0; i < 12; i++) {
+        assert(HostAcc[i] == 198);
+      }
+    }
+  } catch (sycl::exception &e) {
+    std::cout << e.what() << std::endl;
+    return 0;
+  }
+
+  try {
+    // Test case #4
+    // Check device/shared allocations and host accessor.
+    platform Plt{DiscreteSelector{}};
+
+    auto Devices = Plt.get_devices();
+
+    if (Devices.size() <= 1)
+      return 0;
+
+    device Dev = Devices[0];
+    context Context{Dev};
+    queue Queue{Context, Dev};
+
+    auto Device = Queue.get_info<info::queue::device>();
+
+    // Get native Level Zero handles
+    auto ZeContext = get_native<backend::ext_oneapi_level_zero>(Context);
+    auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+
+    ze_device_mem_alloc_desc_t DeviceDesc = {};
+    DeviceDesc.stype = ZE_STRUCTURE_TYPE_DEVICE_MEM_ALLOC_DESC;
+    DeviceDesc.ordinal = 0;
+    DeviceDesc.flags = 0;
+    DeviceDesc.pNext = nullptr;
+
+    ze_host_mem_alloc_desc_t HostDesc = {};
+    HostDesc.stype = ZE_STRUCTURE_TYPE_HOST_MEM_ALLOC_DESC;
+    HostDesc.pNext = nullptr;
+    HostDesc.flags = 0;
+
+    void *SharedBuffer = nullptr;
+    zeMemAllocShared(ZeContext, &DeviceDesc, &HostDesc, 12 * sizeof(int), 1,
+                     nullptr, &SharedBuffer);
+
+    backend_input_t<backend::ext_oneapi_level_zero, buffer<int, 1>>
+        SharedBufferInteropInput = {
+            SharedBuffer, ext::oneapi::level_zero::ownership::transfer};
+    auto SharedBufferInterop =
+        make_buffer<backend::ext_oneapi_level_zero, int, 1>(
+            SharedBufferInteropInput, Context);
+
+    void *DeviceBuffer = nullptr;
+    zeMemAllocDevice(ZeContext, &DeviceDesc, 12 * sizeof(int), 1, ZeDevice,
+                     &DeviceBuffer);
+
+    backend_input_t<backend::ext_oneapi_level_zero, buffer<int, 1>>
+        DeviceBufferInteropInput = {
+            DeviceBuffer, ext::oneapi::level_zero::ownership::transfer};
+    auto DeviceBufferInterop =
+        make_buffer<backend::ext_oneapi_level_zero, int, 1>(
+            DeviceBufferInteropInput, Context);
+
+    Queue.submit([&](sycl::handler &CGH) {
+      auto Acc1 =
+          SharedBufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+      auto Acc2 =
+          DeviceBufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel5>([=]() {
+        for (int i = 0; i < 12; i++) {
+          Acc1[i] = 77;
+        }
+        for (int i = 0; i < 12; i++) {
+          Acc2[i] = 99;
+        }
+      });
+    });
+    Queue.wait();
+    {
+      auto HostAcc1 = SharedBufferInterop.get_host_access();
+      for (int i = 0; i < 12; i++) {
+        assert(HostAcc1[i] == 77);
+      }
+      auto HostAcc2 = DeviceBufferInterop.get_host_access();
+      for (int i = 0; i < 12; i++) {
+        assert(HostAcc2[i] == 99);
+      }
+    }
+
+    // Test case #5
+    // Use device buffer in two different contexts
+    Queue.submit([&](sycl::handler &CGH) {
+      auto Acc =
+          DeviceBufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel6>([=]() {
+        for (int i = 0; i < 12; i++) {
+          Acc[i] = 99;
+        }
+      });
+    });
+
+    // Submit in a different context with one device
+    device Dev2 = Devices.size() > 1 ? Devices[1] : Devices[0];
+    context Context2{Dev2};
+    queue Queue2{Context2, Dev2};
+    Queue2.submit([&](sycl::handler &CGH) {
+      auto Acc =
+          DeviceBufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel7>([=]() {
+        for (int i = 0; i < 12; i++) {
+          Acc[i] *= 2;
+        }
+      });
+    });
+
+    // Submit in a different context with possibly multiple device
+    queue Queue3;
+    Queue3.submit([&](sycl::handler &CGH) {
+      auto Acc =
+          DeviceBufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel8>([=]() {
+        for (int i = 0; i < 12; i++) {
+          Acc[i] += 2;
+        }
+      });
+    });
+
+    {
+      auto HostAcc = DeviceBufferInterop.get_host_access();
+
+      for (int i = 0; i < 12; i++) {
+        assert(HostAcc[i] == 200);
+      }
+    }
+  } catch (sycl::exception &e) {
+    std::cout << e.what() << std::endl;
+    return 0;
+  }
+#else
+  std::cout << "Test skipped due to missing support for Level-Zero backend."
+            << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-get-native-mem.cpp b/sycl/test-e2e/Plugin/interop-level-zero-get-native-mem.cpp
new file mode 100644
index 0000000000000..41381d1ec059c
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-get-native-mem.cpp
@@ -0,0 +1,130 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// L0 plugin incorrectly reports memory leaks because it doesn't take into
+// account direct calls to L0 API.
+// UNSUPPORTED: ze_debug-1,ze_debug4
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_BE=PI_LEVEL_ZERO %GPU_RUN_PLACEHOLDER %t.out
+
+// Test get_native_mem for the Level Zero backend.
+
+// Level-Zero
+#include <level_zero/ze_api.h>
+
+// SYCL
+#include "interop-level-zero-buffer-helpers.hpp"
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t SIZE = 16;
+
+int main() {
+#ifdef SYCL_EXT_ONEAPI_BACKEND_LEVEL_ZERO
+  try {
+    platform Plt{gpu_selector_v};
+
+    auto Devices = Plt.get_devices();
+
+    if (Devices.size() < 1) {
+      std::cout << "Devices not found" << std::endl;
+      return 0;
+    }
+
+    device Dev1 = Devices[0];
+    context Context1{Dev1};
+    queue Queue1{Context1, Dev1};
+
+    device Dev2 = Devices.size() > 1 ? Devices[1] : Devices[0];
+    context Context2{Dev2};
+    queue Queue2{Context2, Dev2};
+
+    auto Context = Queue1.get_context();
+    auto Device = Queue1.get_info<info::queue::device>();
+
+    // Get native Level Zero handles
+    auto ZeContext = get_native<backend::ext_oneapi_level_zero>(Context);
+    auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+
+    ze_device_mem_alloc_desc_t DeviceDesc = {};
+    DeviceDesc.stype = ZE_STRUCTURE_TYPE_DEVICE_MEM_ALLOC_DESC;
+    DeviceDesc.ordinal = 0;
+    DeviceDesc.flags = 0;
+    DeviceDesc.pNext = nullptr;
+
+    ze_host_mem_alloc_desc_t HostDesc = {};
+    HostDesc.stype = ZE_STRUCTURE_TYPE_HOST_MEM_ALLOC_DESC;
+    HostDesc.pNext = nullptr;
+    HostDesc.flags = 0;
+
+    void *NativeBuffer = nullptr;
+    if (is_discrete(Device))
+      // Use shared allocation (the check contents on the host later) associated
+      // with a device if the device is discreet.
+      zeMemAllocShared(ZeContext, &DeviceDesc, &HostDesc, 12 * sizeof(int), 1,
+                       ZeDevice, &NativeBuffer);
+    else
+      // Use host allocation if device is integrated.
+      zeMemAllocHost(ZeContext, &HostDesc, 12 * sizeof(int), 1, &NativeBuffer);
+
+    backend_input_t<backend::ext_oneapi_level_zero, buffer<int, 1>>
+        BufferInteropInput = {NativeBuffer,
+                              ext::oneapi::level_zero::ownership::transfer};
+    {
+      auto BufferInterop = make_buffer<backend::ext_oneapi_level_zero, int, 1>(
+          BufferInteropInput, Context);
+
+      auto Event = Queue1.submit([&](sycl::handler &CGH) {
+        auto Acc =
+            BufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+        CGH.single_task<class SimpleKernel6>([=]() {
+          for (int i = 0; i < 12; i++) {
+            Acc[i] = 99;
+          }
+        });
+      });
+      Event.wait();
+
+      // Submit in a different context
+      Queue2.submit([&](sycl::handler &CGH) {
+        auto Acc =
+            BufferInterop.get_access<sycl::access::mode::read_write>(CGH);
+        CGH.single_task<class SimpleKernel7>([=]() {
+          for (int i = 0; i < 12; i++) {
+            Acc[i] *= 2;
+          }
+        });
+      });
+
+      Queue2.wait();
+
+      Queue1
+          .submit([&](handler &CGH) {
+            auto BufferAcc = BufferInterop.get_access<access::mode::write>(CGH);
+            CGH.host_task([=](const interop_handle &IH) {
+              void *DevicePtr =
+                  IH.get_native_mem<backend::ext_oneapi_level_zero>(BufferAcc);
+              ze_memory_allocation_properties_t MemAllocProperties{};
+              ze_result_t Res = zeMemGetAllocProperties(
+                  ZeContext, DevicePtr, &MemAllocProperties, nullptr);
+              assert(Res == ZE_RESULT_SUCCESS);
+
+              assert(NativeBuffer == DevicePtr);
+
+              int *CastedPtr = (int *)DevicePtr;
+              for (int i = 0; i < 12; i++)
+                assert(CastedPtr[i] == 198);
+            });
+          })
+          .wait();
+    }
+
+  } catch (exception &e) {
+    std::cout << e.what() << std::endl;
+  }
+#else
+  std::cout << "Test skipped due to missing support for Level-Zero backend."
+            << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-interop-task-mem-buffer.cpp b/sycl/test-e2e/Plugin/interop-level-zero-interop-task-mem-buffer.cpp
new file mode 100644
index 0000000000000..cd7631512a58d
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-interop-task-mem-buffer.cpp
@@ -0,0 +1,48 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_BE=PI_LEVEL_ZERO %GPU_RUN_PLACEHOLDER %t.out
+
+// Test for Level Zero interop_task for buffer.
+// Level-Zero
+#include <iostream>
+#include <level_zero/ze_api.h>
+// SYCL
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t SIZE = 16;
+
+int main() {
+  queue queue{};
+
+  try {
+    buffer<uint8_t, 1> buffer(SIZE);
+
+    ze_context_handle_t ze_context =
+        get_native<backend::ext_oneapi_level_zero>(queue.get_context());
+
+    queue
+        .submit([&](handler &cgh) {
+          auto buffer_acc = buffer.get_access<access::mode::write>(cgh);
+          cgh.interop_task([=](const interop_handler &ih) {
+            void *device_ptr =
+                ih.get_mem<backend::ext_oneapi_level_zero>(buffer_acc);
+            ze_memory_allocation_properties_t memAllocProperties{};
+            ze_result_t res = zeMemGetAllocProperties(
+                ze_context, device_ptr, &memAllocProperties, nullptr);
+            assert(res == ZE_RESULT_SUCCESS);
+          });
+        })
+        .wait();
+  } catch (exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  } catch (const char *msg) {
+    std::cout << "Exception caught: " << msg << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-interop-task-mem-image.cpp b/sycl/test-e2e/Plugin/interop-level-zero-interop-task-mem-image.cpp
new file mode 100644
index 0000000000000..563bfaab9c441
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-interop-task-mem-image.cpp
@@ -0,0 +1,47 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// UNSUPPORTED: gpu-intel-pvc
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_BE=PI_LEVEL_ZERO %GPU_RUN_PLACEHOLDER %t.out
+
+// Test for Level Zero interop_task for image.
+// Level-Zero
+#include <iostream>
+#include <level_zero/ze_api.h>
+// SYCL
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t SIZE = 16;
+
+int main() {
+  queue queue{};
+
+  try {
+    image<2> image(image_channel_order::rgba, image_channel_type::fp32,
+                   {SIZE, SIZE});
+
+    ze_context_handle_t ze_context =
+        get_native<backend::ext_oneapi_level_zero>(queue.get_context());
+
+    queue
+        .submit([&](handler &cgh) {
+          auto image_acc = image.get_access<float4, access::mode::write>(cgh);
+          cgh.interop_task([=](const interop_handler &ih) {
+            ze_image_handle_t ze_image =
+                ih.get_mem<backend::ext_oneapi_level_zero>(image_acc);
+            assert(ze_image != nullptr);
+          });
+        })
+        .wait();
+  } catch (exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  } catch (const char *msg) {
+    std::cout << "Exception caught: " << msg << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-keep-ownership.cpp b/sycl/test-e2e/Plugin/interop-level-zero-keep-ownership.cpp
new file mode 100644
index 0000000000000..eeeb60cb326ef
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-keep-ownership.cpp
@@ -0,0 +1,76 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %level_zero_options
+// RUN: env SYCL_BE=PI_LEVEL_ZERO %GPU_RUN_PLACEHOLDER %t.out
+
+// Test for Level Zero interop API where SYCL RT doesn't take ownership
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using namespace sycl;
+
+int main() {
+
+  // Creat SYCL platform/device
+  device Device(gpu_selector_v);
+  platform Platform = Device.get_info<info::device::platform>();
+
+  // Create native Level-Zero context
+  ze_context_handle_t ZeContext;
+  ze_context_desc_t ZeContextDesc = {ZE_STRUCTURE_TYPE_CONTEXT_DESC, nullptr,
+                                     0};
+  auto ZeDriver = get_native<backend::ext_oneapi_level_zero>(Platform);
+  auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+  zeContextCreate(ZeDriver, &ZeContextDesc, &ZeContext);
+
+  { // Scope in which SYCL interop context object is live
+    std::vector<device> Devices{};
+    Devices.push_back(Device);
+    auto Context = level_zero::make<context>(Devices, ZeContext,
+                                             level_zero::ownership::keep);
+
+    // Create L0 event pool
+    ze_event_pool_handle_t ZeEventPool;
+    ze_event_pool_desc_t ZeEventPoolDesc{};
+    ZeEventPoolDesc.stype = ZE_STRUCTURE_TYPE_EVENT_POOL_DESC;
+    ZeEventPoolDesc.count = 1;
+    ZeEventPoolDesc.flags = ZE_EVENT_POOL_FLAG_HOST_VISIBLE;
+    zeEventPoolCreate(ZeContext, &ZeEventPoolDesc, 1, &ZeDevice, &ZeEventPool);
+
+    // Create L0 event
+    ze_event_handle_t ZeEvent;
+    ze_event_desc_t ZeEventDesc{};
+    ZeEventDesc.stype = ZE_STRUCTURE_TYPE_EVENT_DESC;
+    ZeEventDesc.signal = ZE_EVENT_SCOPE_FLAG_HOST;
+    ZeEventDesc.wait = 0;
+    ZeEventDesc.index = 0;
+    zeEventCreate(ZeEventPool, &ZeEventDesc, &ZeEvent);
+
+    { // Scope in which SYCL interop event is alive
+      int i = 0;
+      event Event = level_zero::make<event>(Context, ZeEvent,
+                                            level_zero::ownership::keep);
+
+      info::event_command_status status;
+      do {
+        status = Event.get_info<info::event::command_execution_status>();
+        printf("%d: %s\n", i,
+               status == info::event_command_status::complete ? "complete"
+                                                              : "!complete");
+        if (++i == 5) {
+          zeEventHostSignal(ZeEvent);
+        }
+      } while (status != info::event_command_status::complete);
+    }
+    zeEventDestroy(ZeEvent);
+    zeEventPoolDestroy(ZeEventPool);
+  }
+
+  // Verifies that Level-Zero context is not destroyed by SYCL RT yet.
+  zeContextDestroy(ZeContext);
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero-thread.cpp b/sycl/test-e2e/Plugin/interop-level-zero-thread.cpp
new file mode 100644
index 0000000000000..4e72c22319d24
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero-thread.cpp
@@ -0,0 +1,283 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %level_zero_options %threads_lib
+// RUN: %BE_RUN_PLACEHOLDER %t.out
+//
+// CHECK: Running iteration 0
+// CHECK: Running iteration 1
+// CHECK: Running iteration 2
+// CHECK: Running iteration 3
+// CHECK: Running iteration 4
+// CHECK: Running iteration 5
+// CHECK: Running iteration 6
+// CHECK: Running iteration 7
+// CHECK: Running iteration 8
+// CHECK: Running iteration 9
+// CHECK: Running iteration 10
+// CHECK: Running iteration 11
+// CHECK: Running iteration 12
+// CHECK: Running iteration 13
+// CHECK: Running iteration 14
+// CHECK: Running iteration 15
+// CHECK: Running iteration 16
+// CHECK: Running iteration 17
+// CHECK: Running iteration 18
+// CHECK: Running iteration 19
+
+#include <atomic>
+#include <condition_variable>
+#include <deque>
+#include <iostream>
+#include <level_zero/ze_api.h>
+#include <mutex>
+#include <sycl/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+#include <thread>
+#include <vector>
+
+using namespace std;
+
+struct operation {
+  std::vector<sycl::event> deps;
+  ze_event_handle_t sync_event;
+  // keep sycl events to prevent early destruction
+  sycl::event sycl_event_sync;
+  sycl::event return_event;
+};
+
+std::mutex mt;
+std::condition_variable cv;
+std::deque<operation> ops;
+std::atomic<bool> stop_worker = false;
+
+ze_driver_handle_t driver = {};
+ze_device_handle_t device = {};
+ze_context_handle_t context = {};
+ze_event_pool_handle_t event_pool = {};
+
+// save completed operations so they won't destroyed earlier
+std::vector<operation> old_ops;
+
+void init() {
+  zeInit(0);
+
+  uint32_t driverCount = 0;
+  assert(zeDriverGet(&driverCount, nullptr) == 0);
+
+  std::vector<ze_driver_handle_t> drivers(driverCount);
+  assert(zeDriverGet(&driverCount, drivers.data()) == 0);
+  assert(drivers.size() > 0);
+
+  std::vector<ze_device_handle_t> devices;
+
+  for (uint32_t i = 0; i < driverCount; ++i) {
+    uint32_t deviceCount = 0;
+    assert(zeDeviceGet(drivers[i], &deviceCount, nullptr) == 0);
+
+    devices.resize(deviceCount);
+    assert(zeDeviceGet(drivers[i], &deviceCount, devices.data()) == 0);
+  }
+
+  assert(devices.size() > 0);
+
+  driver = drivers[0];
+  device = devices[0];
+
+  // Create context
+  ze_context_desc_t ctxtDesc = {ZE_STRUCTURE_TYPE_CONTEXT_DESC, nullptr, 0};
+
+  assert(zeContextCreate(driver, &ctxtDesc, &context) == 0);
+
+  ze_event_pool_desc_t desc = {};
+  desc.count = 100;
+  desc.flags = ZE_EVENT_POOL_FLAG_HOST_VISIBLE;
+
+  assert(zeEventPoolCreate(context, &desc, 1, &device, &event_pool) == 0);
+}
+
+ze_event_handle_t getEvent() {
+  static uint32_t index = 0;
+  ze_event_desc_t eventDesc = {};
+  eventDesc.index = index++;
+  eventDesc.signal = 0;
+  eventDesc.wait = 0;
+
+  ze_event_handle_t event = {};
+
+  assert(zeEventCreate(event_pool, &eventDesc, &event) == 0);
+  assert(zeEventHostReset(event) == 0);
+
+  return event;
+}
+
+void worker() {
+  while (true) {
+
+    operation op;
+    {
+
+      std::unique_lock<std::mutex> lk(mt);
+      cv.wait(lk, []() { return ops.size() > 0 || stop_worker; });
+      if (stop_worker)
+        return;
+
+      op = ops.front();
+      ops.pop_front();
+    }
+    for (auto dep : op.deps) {
+      // Wait for dependencies to complete
+      while (dep.get_info<sycl::info::event::command_execution_status>() !=
+             sycl::info::event_command_status::complete) {
+      }
+    }
+
+    // Do some work and signal event
+    assert(zeEventHostSignal(op.sync_event) == 0);
+
+    // Wait more to ensure event competion before we return
+    while (true) {
+      auto status1 = op.sycl_event_sync.template get_info<
+                         sycl::info::event::command_execution_status>() ==
+                     sycl::info::event_command_status::complete;
+      auto status2 = op.return_event.template get_info<
+                         sycl::info::event::command_execution_status>() ==
+                     sycl::info::event_command_status::complete;
+
+      if (getenv("QUERY_STATUS") != nullptr) {
+        auto ev1 = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(
+            op.sycl_event_sync);
+        auto ev2 = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(
+            op.return_event);
+        status1 = (zeEventQueryStatus(ev1) == ZE_RESULT_SUCCESS);
+        status2 = (zeEventQueryStatus(ev2) == ZE_RESULT_SUCCESS);
+      }
+
+      if (status1 && status2)
+        break;
+    }
+
+    old_ops.push_back(std::move(op));
+  }
+}
+
+sycl::event operation(sycl::queue q) {
+  std::vector<sycl::event> deps;
+  deps.push_back(q.ext_oneapi_submit_barrier());
+
+  ze_event_handle_t l0_event = getEvent();
+  auto sycl_event = sycl::make_event<sycl::backend::ext_oneapi_level_zero>(
+      {l0_event, sycl::ext::oneapi::level_zero::ownership::keep},
+      q.get_context());
+
+  zeEventHostSignal(l0_event);
+  auto return_event = q.ext_oneapi_submit_barrier({sycl_event});
+  struct operation new_op = {std::move(deps), l0_event, sycl_event,
+                             return_event};
+
+  {
+    std::lock_guard<std::mutex> lg(mt);
+    ops.push_back(std::move(new_op));
+  }
+  cv.notify_all();
+
+  return return_event;
+}
+
+int main(int argc, char *argv[]) {
+  try {
+    size_t count = 100;
+
+    int size = 0;
+    int rank = 0;
+
+    size_t num_iters = 20;
+    size_t kernel_num = 3;
+
+    if (argc > 1)
+      kernel_num = atoi(argv[1]);
+    if (argc > 2)
+      count = atoi(argv[2]);
+    if (argc > 3)
+      num_iters = atoi(argv[3]);
+
+    size_t byte_count = count * 4;
+
+    sycl::property_list props{sycl::property::queue::in_order{},
+                              sycl::property::queue::enable_profiling{}};
+    sycl::queue q{props};
+
+    init();
+
+    // Store allocated mem ptrs to free them later
+    std::vector<std::pair<float *, float *>> ptrs(kernel_num);
+    // allocate all the buffers
+    for (size_t i = 0; i < kernel_num; i++) {
+      float *weight_buf = (float *)sycl::malloc_device(byte_count, q);
+      float *weight_allreduce_buf = (float *)sycl::malloc_device(byte_count, q);
+      ptrs[i] = {weight_buf, weight_allreduce_buf};
+    }
+
+    std::vector<std::tuple<sycl::event, sycl::event>> kernel_events(num_iters *
+                                                                    kernel_num);
+
+    std::vector<sycl::event> barrier_events;
+
+    std::thread worker_thread(worker);
+
+    for (size_t i = 0; i < num_iters; ++i) {
+      std::cout << "Running iteration " << i << std::endl;
+
+      for (size_t j = 0; j < kernel_num; j++) {
+        size_t num = i * kernel_num + j;
+        float *weight_buf = ptrs[j].first;
+        float *weight_allreduce_buf = ptrs[j].second;
+
+        // Step1: FWK kernel submission
+        sycl::event submit_event;
+        if (i == 0) {
+          submit_event = q.submit([&](auto &h) {
+            h.parallel_for(count, [=](auto id) {
+              // Initial weight in first iteration
+              weight_buf[id] = j * (rank + 1);
+            });
+          });
+        } else {
+          submit_event = q.submit([&](auto &h) {
+            h.parallel_for(count, [=](auto id) {
+              // Make weight differ in each iteration
+              weight_buf[id] = weight_buf[id] + (j * (rank + 1));
+            });
+          });
+        }
+
+        barrier_events.push_back(operation(q));
+
+        // Step3: Weight update
+        auto update_event = q.submit([&](auto &h) {
+          h.parallel_for(count, [=](auto id) {
+            // Update weight in each iteration
+            weight_buf[id] = weight_allreduce_buf[id] * 0.5f;
+          });
+        });
+
+        kernel_events[num] = {submit_event, update_event};
+      }
+      q.wait();
+    }
+
+    // Make sure there is no exceptions in the queue
+    q.wait_and_throw();
+
+    for (auto p : ptrs) {
+      sycl::free(p.first, q);
+      sycl::free(p.second, q);
+    }
+
+    stop_worker = true;
+    cv.notify_all();
+    worker_thread.join();
+  } catch (std::exception &E) {
+    std::cout << E.what() << std::endl;
+    return 1;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-level-zero.cpp b/sycl/test-e2e/Plugin/interop-level-zero.cpp
new file mode 100644
index 0000000000000..7f51da656caed
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-level-zero.cpp
@@ -0,0 +1,87 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_BE=PI_LEVEL_ZERO SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+// Test for Level Zero interop API
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+// clang-format off
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+// clang-format on
+
+using namespace sycl;
+
+int main() {
+#ifdef SYCL_EXT_ONEAPI_BACKEND_LEVEL_ZERO
+  queue Queue{};
+
+  auto Event = Queue.single_task([=]() {});
+  auto Context = Queue.get_info<info::queue::context>();
+  auto Device = Queue.get_info<info::queue::device>();
+  auto Platform = Device.get_info<info::device::platform>();
+
+  // Get native Level Zero handles
+  auto ZePlatform = get_native<backend::ext_oneapi_level_zero>(Platform);
+  auto ZeDevice = get_native<backend::ext_oneapi_level_zero>(Device);
+  auto ZeContext = get_native<backend::ext_oneapi_level_zero>(Context);
+  auto ZeQueue = get_native<backend::ext_oneapi_level_zero>(Queue);
+  auto ZeEvent = get_native<backend::ext_oneapi_level_zero>(Event);
+
+  // Create native Level-Zero context.
+  // It then will be owned/destroyed by SYCL RT.
+  ze_context_handle_t ZeContextInterop{};
+  ze_context_desc_t ZeContextDesc = {ZE_STRUCTURE_TYPE_CONTEXT_DESC, nullptr,
+                                     0};
+  zeContextCreate(ZePlatform, &ZeContextDesc, &ZeContextInterop);
+
+  // Re-create SYCL objects from native Level Zero handles
+  auto PlatformInterop =
+      make_platform<backend::ext_oneapi_level_zero>(ZePlatform);
+  auto DeviceInterop = make_device<backend::ext_oneapi_level_zero>(ZeDevice);
+
+  backend_input_t<backend::ext_oneapi_level_zero, context> ContextInteropInput =
+      {ZeContextInterop, Context.get_devices()};
+  auto ContextInterop =
+      make_context<backend::ext_oneapi_level_zero>(ContextInteropInput);
+
+  backend_input_t<backend::ext_oneapi_level_zero, queue> QueueInteropInput = {
+      ZeQueue, Queue.get_device(), ext::oneapi::level_zero::ownership::keep};
+  auto QueueInterop = make_queue<backend::ext_oneapi_level_zero>(
+      QueueInteropInput, ContextInterop);
+
+  backend_input_t<backend::ext_oneapi_level_zero, event> EventInteropInput = {
+      ZeEvent};
+  // ZeEvent isn't owning the resource (it's owned by Event object), we cannot \
+  // transfer ownership that we don't have. As such, use "keep".
+  EventInteropInput.Ownership = sycl::ext::oneapi::level_zero::ownership::keep;
+  auto EventInterop = make_event<backend::ext_oneapi_level_zero>(
+      EventInteropInput, ContextInterop);
+
+  // Check native handles
+  assert(ZePlatform ==
+         get_native<backend::ext_oneapi_level_zero>(PlatformInterop));
+  assert(ZeDevice == get_native<backend::ext_oneapi_level_zero>(DeviceInterop));
+  assert(ZeContextInterop ==
+         get_native<backend::ext_oneapi_level_zero>(ContextInterop));
+  assert(ZeQueue == get_native<backend::ext_oneapi_level_zero>(QueueInterop));
+  assert(ZeEvent == get_native<backend::ext_oneapi_level_zero>(EventInterop));
+
+  // Verify re-created objects
+  int Arr[] = {2};
+  {
+    sycl::buffer<int, 1> Buf(Arr, 1);
+    QueueInterop.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class SimpleKernel>([=]() { Acc[0] *= 3; });
+    });
+  }
+  assert(Arr[0] == 6);
+#else
+  std::cout << "Test skipped due to missing support for Level-Zero backend."
+            << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-opencl-interop-task-mem.cpp b/sycl/test-e2e/Plugin/interop-opencl-interop-task-mem.cpp
new file mode 100644
index 0000000000000..de65272ddcbc9
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-opencl-interop-task-mem.cpp
@@ -0,0 +1,53 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Test for OpenCL interop_task.
+
+#include <CL/opencl.h>
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr size_t SIZE = 16;
+
+int main() {
+  queue queue{};
+
+  try {
+    buffer<uint8_t, 1> buffer(SIZE);
+    image<2> image(image_channel_order::rgba, image_channel_type::fp32,
+                   {SIZE, SIZE});
+
+    queue
+        .submit([&](handler &cgh) {
+          auto buffer_acc = buffer.get_access<access::mode::write>(cgh);
+          auto image_acc = image.get_access<float4, access::mode::write>(cgh);
+          cgh.interop_task([=](const interop_handler &ih) {
+            cl_mem buffer_mem = ih.get_mem<backend::opencl>(buffer_acc);
+            size_t size = 0;
+            clGetMemObjectInfo(buffer_mem, CL_MEM_SIZE, sizeof(size),
+                               (void *)&size, nullptr);
+            assert(size == SIZE);
+
+            cl_mem mem = ih.get_mem<backend::opencl>(image_acc);
+            size_t width = 0;
+            clGetImageInfo(mem, CL_IMAGE_WIDTH, sizeof(width), (void *)&width,
+                           nullptr);
+            assert(width == SIZE);
+          });
+        })
+        .wait();
+  } catch (exception const &e) {
+    std::cout << "SYCL exception caught: " << e.what() << std::endl;
+    return e.get_cl_code();
+  } catch (const char *msg) {
+    std::cout << "Exception caught: " << msg << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-opencl-make-kernel-bundle.cpp b/sycl/test-e2e/Plugin/interop-opencl-make-kernel-bundle.cpp
new file mode 100644
index 0000000000000..399d1d8d08fd0
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-opencl-make-kernel-bundle.cpp
@@ -0,0 +1,62 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <CL/cl.h>
+
+#include <cassert>
+#include <iostream>
+#include <string>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+char const *source = R"OCL(kernel void do_nothing() {})OCL";
+
+using namespace sycl;
+
+int select_opencl(const sycl::device &dev) {
+  if (dev.get_platform().get_backend() == backend::opencl) {
+    return 1;
+  }
+  return -1;
+}
+
+int main() {
+  auto q = queue{select_opencl};
+
+  std::cerr << "Get native context." << std::endl;
+  auto native_context = get_native<backend::opencl, context>(q.get_context());
+  std::cerr << "Create native program." << std::endl;
+  cl_program p =
+      clCreateProgramWithSource(native_context, 1, &source, nullptr, nullptr);
+  std::cerr << "Build native program." << std::endl;
+  clBuildProgram(p, 0, nullptr, nullptr, nullptr, nullptr);
+  std::cerr << "Release native context." << std::endl;
+  clReleaseContext(native_context);
+
+  std::cerr << "Make kernel bundle." << std::endl;
+  auto bundle = make_kernel_bundle<backend::opencl, bundle_state::executable>(
+      p, q.get_context());
+  std::cerr << "Release native program." << std::endl;
+  // cl_program must have been retained by the above call.
+  clReleaseProgram(p);
+
+  std::cerr << "Get native program." << std::endl;
+  std::vector<cl_program> device_image =
+      get_native<backend::opencl, bundle_state::executable>(bundle);
+  assert(device_image.size() == 1);
+  std::cerr << "Create native kernel." << std::endl;
+  cl_kernel k = clCreateKernel(device_image.front(), "do_nothing", nullptr);
+  // get_native must have retained cl_program as well.
+  clReleaseProgram(device_image.front());
+
+  std::cerr << "Make kernel." << std::endl;
+  make_kernel<backend::opencl>(k, q.get_context());
+  std::cerr << "Release native kernel." << std::endl;
+  clReleaseKernel(k);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-opencl-make-kernel.cpp b/sycl/test-e2e/Plugin/interop-opencl-make-kernel.cpp
new file mode 100644
index 0000000000000..76961b4ac1961
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-opencl-make-kernel.cpp
@@ -0,0 +1,71 @@
+// REQUIRES: opencl, opencl_icd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %opencl_lib
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Test for OpenCL make_kernel
+
+#include <CL/opencl.h>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class DummyKernel;
+
+constexpr size_t N = 1024;
+
+const char OpenCLIotaKernelCode[] = "__kernel void iota(__global int *a) {\
+        int i = get_global_id(0);\
+        a[i] = i;\
+    }";
+const size_t OpenCLIotaKernelCodeSize = sizeof(OpenCLIotaKernelCode);
+const char *OpenCLCode[1] = {OpenCLIotaKernelCode};
+
+int main() {
+  queue Queue{};
+  auto Context = Queue.get_info<info::queue::context>();
+  auto Device = Queue.get_info<info::queue::device>();
+
+  cl_context OpenCLContext = get_native<backend::opencl>(Context);
+  cl_device_id OpenCLDevice = get_native<backend::opencl>(Device);
+
+  cl_int OpenCLError;
+  cl_program OpenCLProgram = clCreateProgramWithSource(
+      OpenCLContext, 1, OpenCLCode, &OpenCLIotaKernelCodeSize, &OpenCLError);
+  assert(OpenCLError == CL_SUCCESS);
+
+  OpenCLError = clBuildProgram(OpenCLProgram, 1, &OpenCLDevice, nullptr,
+                               nullptr, nullptr);
+  assert(OpenCLError == CL_SUCCESS);
+
+  cl_kernel OpenCLKernel = clCreateKernel(OpenCLProgram, "iota", &OpenCLError);
+  assert(OpenCLError == CL_SUCCESS);
+
+  kernel Kernel = make_kernel<backend::opencl>(OpenCLKernel, Context);
+
+  // The associated kernel bundle should not contain the dummy-kernel.
+  assert(!Kernel.get_kernel_bundle().has_kernel(get_kernel_id<DummyKernel>()));
+
+  int *IotaResult = malloc_shared<int>(N, Device, Context);
+  Queue
+      .submit([&](sycl::handler &CGH) {
+        CGH.set_arg(0, IotaResult);
+        CGH.parallel_for(N, Kernel);
+      })
+      .wait();
+
+  for (int i = 0; i < N; ++i)
+    assert(IotaResult[i] == i);
+
+  free(IotaResult, Context);
+
+  Queue
+      .submit(
+          [&](sycl::handler &CGH) { CGH.single_task<DummyKernel>([=]() {}); })
+      .wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/interop-opencl.cpp b/sycl/test-e2e/Plugin/interop-opencl.cpp
new file mode 100644
index 0000000000000..bd520a4296c39
--- /dev/null
+++ b/sycl/test-e2e/Plugin/interop-opencl.cpp
@@ -0,0 +1,65 @@
+// REQUIRES: opencl
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %CPU_RUN_PLACEHOLDER %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %ACC_RUN_PLACEHOLDER %t.out
+
+//==-- interop-opencl.cpp - SYCL test for OpenCL interop API --------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <CL/opencl.h>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Queue{};
+  auto Context = Queue.get_info<info::queue::context>();
+  auto Device = Queue.get_info<info::queue::device>();
+  auto Platform = Device.get_info<info::device::platform>();
+
+  int Data[1] = {0};
+  sycl::buffer<int, 1> Buffer(&Data[0], sycl::range<1>(1));
+  {
+    Queue.submit([&](sycl::handler &cgh) {
+      auto Acc = Buffer.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.host_task([=](const sycl::interop_handle &ih) {
+        (void)Acc;
+        auto BufNative = ih.get_native_mem<sycl::backend::opencl>(Acc);
+        assert(BufNative.size() == 1);
+      });
+    });
+  }
+
+  // Get native OpenCL handles
+  auto ocl_platform = get_native<backend::opencl>(Platform);
+  auto ocl_device = get_native<backend::opencl>(Device);
+  auto ocl_context = get_native<backend::opencl>(Context);
+  auto ocl_queue = get_native<backend::opencl>(Queue);
+  auto ocl_buffers = get_native<backend::opencl>(Buffer);
+  assert(ocl_buffers.size() == 1);
+
+  // Re-create SYCL objects from native OpenCL handles
+  auto PlatformInterop = opencl::make<platform>(ocl_platform);
+  auto DeviceInterop = opencl::make<device>(ocl_device);
+  auto ContextInterop = opencl::make<context>(ocl_context);
+  auto QueueInterop = opencl::make<queue>(ContextInterop, ocl_queue);
+  auto BufferInterop =
+      sycl::make_buffer<backend::opencl, int>(ocl_buffers[0], ContextInterop);
+
+  // Check native handles
+  assert(ocl_platform == get_native<backend::opencl>(PlatformInterop));
+  assert(ocl_device == get_native<backend::opencl>(DeviceInterop));
+  assert(ocl_context == get_native<backend::opencl>(ContextInterop));
+  assert(ocl_queue == get_native<backend::opencl>(QueueInterop));
+  assert(ocl_buffers == get_native<backend::opencl>(BufferInterop));
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level-zero-event-leak.cpp b/sycl/test-e2e/Plugin/level-zero-event-leak.cpp
new file mode 100644
index 0000000000000..59553d2f3284b
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level-zero-event-leak.cpp
@@ -0,0 +1,69 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+//
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out wait 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out nowait 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -DCHECK_INORDER -o %t.inorder.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.inorder.out wait 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.inorder.out nowait 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: LEAK
+
+// The test is to check that there are no leaks reported with the embedded
+// ZE_DEBUG=4 testing capability. Example of a leak reported is this:
+//
+// clang-format off
+// ZE_DEBUG=4: check balance of create/destroy calls
+// ----------------------------------------------------------
+//               zeContextCreate = 1     \--->              zeContextDestroy = 1
+//          zeCommandQueueCreate = 1     \--->         zeCommandQueueDestroy = 0     ---> LEAK = 1
+//                zeModuleCreate = 1     \--->               zeModuleDestroy = 0     ---> LEAK = 1
+//                zeKernelCreate = 1     \--->               zeKernelDestroy = 0     ---> LEAK = 1
+//             zeEventPoolCreate = 1     \--->            zeEventPoolDestroy = 1
+//  zeCommandListCreateImmediate = 1     |
+//           zeCommandListCreate = 2     \--->          zeCommandListDestroy = 2     ---> LEAK = 1
+//                 zeEventCreate = 129   \--->                zeEventDestroy = 1     ---> LEAK = 128
+//                 zeFenceCreate = 2     \--->                zeFenceDestroy = 0     ---> LEAK = 2
+//                 zeImageCreate = 0     \--->                zeImageDestroy = 0
+//               zeSamplerCreate = 0     \--->              zeSamplerDestroy = 0
+//              zeMemAllocDevice = 0     |
+//                zeMemAllocHost = 0     |
+//              zeMemAllocShared = 0     \--->                     zeMemFree = 0
+//
+// clang-format on
+//
+// NOTE: The 1000 value below is to be larger than the "128" heuristic in
+// queue_impl::addSharedEvent.
+
+#include <sycl/sycl.hpp>
+
+int main(int argc, char **argv) {
+  assert(argc == 2 && "Invalid number of arguments");
+  std::string use_queue_finish(argv[1]);
+
+  bool Use = false;
+  if (use_queue_finish == "wait") {
+    Use = true;
+    std::cerr << "Use queue::wait" << std::endl;
+  } else if (use_queue_finish == "nowait") {
+    std::cerr << "No wait. Ensure resources are released anyway" << std::endl;
+  } else {
+    assert(0 && "Unsupported parameter value");
+  }
+
+#ifdef CHECK_INORDER
+  sycl::queue Q({sycl::property::queue::in_order{}});
+#else
+  sycl::queue Q;
+#endif
+
+  const unsigned n_chunk = 1000;
+  for (int i = 0; i < n_chunk; i++)
+    Q.single_task([=]() {});
+
+  if (Use)
+    Q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level-zero-usm-capabilities.cpp b/sycl/test-e2e/Plugin/level-zero-usm-capabilities.cpp
new file mode 100644
index 0000000000000..fa25287fb878a
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level-zero-usm-capabilities.cpp
@@ -0,0 +1,37 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+// Check for queries of USM capabilities.
+// All supported L0 devices have these capabilities currently:
+//
+// CHECK:  usm_host_allocations: 1
+// CHECK:  usm_device_allocations: 1
+// CHECK:  usm_shared_allocations: 1
+// CHECK:  usm_system_allocations: 0
+// CHECK:  usm_atomic_host_allocations: 0
+// CHECK:  usm_atomic_shared_allocations: 0
+
+using namespace sycl;
+
+int main() {
+  auto D = device(gpu_selector_v);
+  std::cout << "name = " << D.get_info<info::device::name>() << std::endl;
+
+  std::cout << "  usm_host_allocations: " << D.has(aspect::usm_host_allocations)
+            << std::endl;
+  std::cout << "  usm_device_allocations: "
+            << D.has(aspect::usm_device_allocations) << std::endl;
+  std::cout << "  usm_shared_allocations: "
+            << D.has(aspect::usm_shared_allocations) << std::endl;
+  std::cout << "  usm_system_allocations: "
+            << D.has(aspect::usm_system_allocations) << std::endl;
+  std::cout << "  usm_atomic_host_allocations: "
+            << D.has(aspect::usm_atomic_host_allocations) << std::endl;
+  std::cout << "  usm_atomic_shared_allocations: "
+            << D.has(aspect::usm_atomic_shared_allocations) << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_batch_barrier.cpp b/sycl/test-e2e/Plugin/level_zero_batch_barrier.cpp
new file mode 100755
index 0000000000000..3ab839447707b
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_batch_barrier.cpp
@@ -0,0 +1,46 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 ZE_DEBUG=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+// Test that the wait with a barrier is fully batched, i.e. it doesn't cause
+// extra submissions.
+
+#include <level_zero/ze_api.h>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace std;
+using namespace sycl;
+
+void submit_kernel(queue &q) {
+  q.submit([&](auto &h) { h.parallel_for(1, [=](size_t id) {}); });
+}
+
+int main(int argc, char *argv[]) {
+  queue q;
+
+  submit_kernel(q); // starts a batch
+                    // CHECK: ---> piEnqueueKernelLaunch
+                    // CHECK-NOT: ZE ---> zeCommandQueueExecuteCommandLists
+
+  // continue the batch
+  event barrier = q.ext_oneapi_submit_barrier();
+  // CHECK: ---> piEnqueueEventsWaitWithBarrier
+  // CHECK-NOT: ZE ---> zeCommandQueueExecuteCommandLists
+
+  submit_kernel(q);
+  // CHECK: ---> piEnqueueKernelLaunch
+  // CHECK-NOT: ZE ---> zeCommandQueueExecuteCommandLists
+
+  // interop should close the batch
+  ze_event_handle_t ze_event =
+      get_native<backend::ext_oneapi_level_zero>(barrier);
+  // CHECK: ---> piextEventGetNativeHandle
+  // CHECK: ZE ---> zeCommandQueueExecuteCommandLists
+  zeEventHostSynchronize(ze_event, UINT64_MAX);
+
+  // CHECK: ---> piQueueFinish
+  q.wait_and_throw();
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_batch_event_status.cpp b/sycl/test-e2e/Plugin/level_zero_batch_event_status.cpp
new file mode 100644
index 0000000000000..073b099ee0b0e
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_batch_event_status.cpp
@@ -0,0 +1,109 @@
+// See https://github.com/intel/llvm-test-suite/issues/906
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple  %s -o %t.out
+
+// Set batching to 4 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck %s
+
+// level_zero_batch_test.cpp
+//
+// This tests the level zero plugin's kernel batching code.  It specifically
+// tests that the current batch is submitted when an Event execution status
+// request is made.  This test uses explicit SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4
+// to make sure that the batching is submitted when the piEventGetInfo is
+// done, rather than some other dynamic batching criteria.
+//
+// CHECK: ---> piEnqueueKernelLaunch
+// CHECK: ZE ---> zeCommandListAppendLaunchKernel
+// Shouldn't have closed until we see a piEventGetInfo
+// CHECK-NOT:  ZE ---> zeCommandListClose
+// CHECK-NOT:  ZE ---> zeCommandQueueExecuteCommandLists
+// CHECK: ---> piEventGetInfo
+// Shouldn't see another piGetEventInfo until after closing command list
+// CHECK-NOT: ---> piEventGetInfo
+// Look for close and Execute after piEventGetInfo
+// CHECK:  ZE ---> zeCommandListClose
+// CHECK:  ZE ---> zeCommandQueueExecuteCommandLists
+// CHECK: ---> piEventGetInfo
+// CHECK-NOT: piEventsWait
+// CHECK: ---> piEnqueueKernelLaunch
+// CHECK: ZE ---> zeCommandListAppendLaunchKernel
+// CHECK: ---> piQueueFinish
+// Look for close and Execute after piQueueFinish
+// CHECK:  ZE ---> zeCommandListClose
+// CHECK:  ZE ---> zeCommandQueueExecuteCommandLists
+// CHECK: ---> piEventGetInfo
+// No close and execute here, should already have happened.
+// CHECK-NOT:  ZE ---> zeCommandListClose
+// CHECK-NOT:  ZE ---> zeCommandQueueExecuteCommandLists
+// CHECK-NOT: Test Fail
+// CHECK: Test Pass
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+#include <cassert>
+#include <chrono>
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <thread>
+
+int main(void) {
+  sycl::queue q{sycl::default_selector_v};
+  std::vector<sycl::event> events(10);
+
+  sycl::event ev1 = q.submit([&](sycl::handler &cgh) {
+    cgh.depends_on(events);
+    cgh.single_task([=] {});
+  });
+
+  bool ev1_completed = false;
+  int try_count = 0;
+  while (true) {
+    auto ev1_status =
+        ev1.get_info<sycl::info::event::command_execution_status>();
+    if (ev1_status == sycl::info::event_command_status::complete) {
+      std::cout << "Ev1 has completed" << std::endl;
+      ev1_completed = true;
+      break;
+    }
+
+    std::cout << "Ev1 has not yet completed: ";
+    switch (ev1_status) {
+    case sycl::info::event_command_status::submitted:
+      std::cout << "submitted";
+      break;
+    case sycl::info::event_command_status::running:
+      std::cout << "running";
+      break;
+    default:
+      std::cout << "unrecognized";
+      break;
+    }
+    std::cout << std::endl;
+
+    std::chrono::milliseconds timespan(300);
+    std::this_thread::sleep_for(timespan);
+
+    try_count += 1;
+    if (try_count > 10) {
+      ev1.wait();
+    }
+  }
+  assert(ev1_completed);
+
+  sycl::event ev2 = q.submit([&](sycl::handler &cgh) {
+    cgh.depends_on(events);
+    cgh.single_task([=] {});
+  });
+  q.wait();
+
+  auto ev2_status = ev2.get_info<sycl::info::event::command_execution_status>();
+  if (ev2_status != sycl::info::event_command_status::complete) {
+    std::cout << "Test Fail" << std::endl;
+    exit(1);
+  }
+
+  std::cout << "Ev2 has completed" << std::endl;
+  std::cout << "Test Pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_batch_test.cpp b/sycl/test-e2e/Plugin/level_zero_batch_test.cpp
new file mode 100644
index 0000000000000..8533a49d914f5
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_batch_test.cpp
@@ -0,0 +1,417 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.ooo.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -DUSING_INORDER -o %t.ino.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -DUSING_DISCARD_EVENTS -o %t.discard_events.out
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+// To test batching on out-of-order queue:
+// Set batching to 4 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB4 %s
+
+// Set batching to 1 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB1 %s
+
+// Set batching to 3 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB3 %s
+
+// Set batching to 5 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=5 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB5 %s
+
+// Set batching to 7 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=7 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB7 %s
+
+// Set batching to 8 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=8 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB8 %s
+
+// Set batching to 9 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=9 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB9 %s
+
+// To test batching on in-order queue:
+// Set batching to 4 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB4 %s
+
+// Set batching to 1 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB1 %s
+
+// Set batching to 3 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB3 %s
+
+// Set batching to 5 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=5 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB5 %s
+
+// Set batching to 7 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=7 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB7 %s
+
+// Set batching to 8 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=8 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB8 %s
+
+// Set batching to 9 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=9 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB9 %s
+
+// To test batching on in-order queue with discard_events:
+// Set batching to 4 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB4 %s
+
+// Set batching to 1 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB1 %s
+
+// Set batching to 3 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB3 %s
+
+// Set batching to 5 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=5 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB5 %s
+
+// Set batching to 7 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=7 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB7 %s
+
+// Set batching to 8 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=8 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB8 %s
+
+// Set batching to 9 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=9 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB9 %s
+
+// level_zero_batch_test.cpp
+//
+// This tests the level zero plugin's kernel batching code.  The default
+// batching is 4, and exact batch size can be controlled with environment
+// variable SYCL_PI_LEVEL_ZEOR+BATCH_SIZE=N.
+// This test enqueues 8 kernels and then does a wait. And it does this 3 times.
+// Expected output is that for batching =1 you will see zeCommandListClose,
+// and zeCommandQueueExecuteCommandLists after every piEnqueueKernelLaunch.
+// For batching=3 you will see that after 3rd and 6th enqueues, and then after
+// piQueueFinish. For 5, after 5th piEnqueue, and then after piQueueFinish.  For
+// 4 you will see these after 4th and 8th Enqueue, and for 8, only after the
+// 8th enqueue.  And lastly for 9, you will see the Close and Execute calls
+// only after the piQueueFinish.
+// Since the test does this 3 times, this pattern will repeat 2 more times,
+// and then the test will print Test Passed 8 times, once for each kernel
+// validation check.
+// Pattern starts first set of kernel executions.
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB8:  ZE ---> zeCommandListClose(
+// CKB8:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piQueueFinish(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB9:  ZE ---> zeCommandListClose(
+// CKB9:  ZE ---> zeCommandQueueExecuteCommandLists(
+// Pattern starts 2nd set of kernel executions
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB8:  ZE ---> zeCommandListClose(
+// CKB8:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piQueueFinish(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB9:  ZE ---> zeCommandListClose(
+// CKB9:  ZE ---> zeCommandQueueExecuteCommandLists(
+// Pattern starts 3rd set of kernel executions
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB8:  ZE ---> zeCommandListClose(
+// CKB8:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piQueueFinish(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB9:  ZE ---> zeCommandListClose(
+// CKB9:  ZE ---> zeCommandQueueExecuteCommandLists(
+// Now just check for 8 Test Pass kernel validations.
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+
+#include "CL/sycl.hpp"
+#include <chrono>
+#include <cmath>
+#include <iostream>
+
+void validate(uint32_t *result, uint32_t *expect, size_t n) {
+  int error = 0;
+  for (int i = 0; i < n; i++) {
+    if (result[i] != expect[i]) {
+      error++;
+      if (error < 10) {
+        printf("Error: %d, expect: %d\n", result[i], expect[i]);
+      }
+    }
+  }
+  error > 0 ? printf("Error: %d\n", error) : printf("Test Pass\n");
+}
+
+int main(int argc, char *argv[]) {
+  size_t M = 65536;
+  size_t N = 512 / 4;
+  size_t AL = M * N * sizeof(uint32_t);
+
+#ifdef USING_INORDER
+  sycl::property_list Props{sycl::property::queue::in_order{}};
+#elif USING_DISCARD_EVENTS
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+#else
+  sycl::property_list Props{};
+#endif
+  sycl::queue q(sycl::default_selector_v, Props);
+  auto ctx = q.get_context();
+  auto dev = q.get_device();
+
+  uint32_t *Y1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z2 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z3 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z4 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z5 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z6 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z7 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z8 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+
+  for (size_t i = 0; i < M * N; i++) {
+    Y1[i] = i % 255;
+  }
+
+  memset(Z1, '\0', AL);
+  memset(Z2, '\0', AL);
+  memset(Z3, '\0', AL);
+  memset(Z4, '\0', AL);
+  memset(Z5, '\0', AL);
+  memset(Z6, '\0', AL);
+  memset(Z7, '\0', AL);
+  memset(Z8, '\0', AL);
+
+  {
+    for (size_t j = 0; j < 3; j++) {
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy1>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z1[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy2>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z2[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy3>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z3[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy4>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z4[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy5>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z5[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy6>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z6[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy7>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z7[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy8>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z8[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+
+      q.wait();
+    }
+  }
+  validate(Y1, Z1, M * N);
+  validate(Y1, Z2, M * N);
+  validate(Y1, Z3, M * N);
+  validate(Y1, Z4, M * N);
+  validate(Y1, Z5, M * N);
+  validate(Y1, Z6, M * N);
+  validate(Y1, Z7, M * N);
+  validate(Y1, Z8, M * N);
+
+  sycl::free(Y1, ctx);
+  sycl::free(Z1, ctx);
+  sycl::free(Z2, ctx);
+  sycl::free(Z3, ctx);
+  sycl::free(Z4, ctx);
+  sycl::free(Z5, ctx);
+  sycl::free(Z6, ctx);
+  sycl::free(Z7, ctx);
+  sycl::free(Z8, ctx);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_batch_test_copy_with_compute.cpp b/sycl/test-e2e/Plugin/level_zero_batch_test_copy_with_compute.cpp
new file mode 100644
index 0000000000000..46dbd6f137c25
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_batch_test_copy_with_compute.cpp
@@ -0,0 +1,411 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+
+// Set batching to 4 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=4 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB4 %s
+
+// Set batching to 1 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB1 %s
+
+// Set batching to 3 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB3 %s
+
+// Set batching to 5 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=5 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB5 %s
+
+// Set batching to 7 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=7 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB7 %s
+
+// Set batching to 8 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=8 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB8 %s
+
+// Set batching to 9 explicitly
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=9 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CKALL,CKB9 %s
+
+// level_zero_batch_test_copy_with_compute.cpp
+//
+// This tests the level zero plugin's kernel batching code.  The default
+// batching is 4, and exact batch size can be controlled with environment
+// variable SYCL_PI_LEVEL_ZERO_{COPY_}BATCH_SIZE=N.
+// This test enqueues 8 kernels and then does a wait. And it does this 3 times.
+// Expected output is that for batching =1 you will see zeCommandListClose,
+// and zeCommandQueueExecuteCommandLists after every piEnqueueKernelLaunch.
+// For batching=3 you will see that after 3rd and 6th enqueues, and then after
+// piEventsWait. For 5, after 5th piEnqueue, and then after piEventsWait.  For
+// 4 you will see these after 4th and 8th Enqueue, and for 8, only after the
+// 8th enqueue.  And lastly for 9, you will see the Close and Execute calls
+// only after the piEventsWait.
+// Since the test does this 3 times, this pattern will repeat 2 more times,
+// and then the test will print Test Passed 8 times, once for each kernel
+// validation check.
+// Pattern starts first set of kernel executions.
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB8:  ZE ---> zeCommandListClose(
+// CKB8:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piQueueFinish(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB9:  ZE ---> zeCommandListClose(
+// CKB9:  ZE ---> zeCommandQueueExecuteCommandLists(
+// Pattern starts 2nd set of kernel executions
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB8:  ZE ---> zeCommandListClose(
+// CKB8:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piQueueFinish(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB9:  ZE ---> zeCommandListClose(
+// CKB9:  ZE ---> zeCommandQueueExecuteCommandLists(
+// Pattern starts 3rd set of kernel executions
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piEnqueueKernelLaunch(
+// CKALL: ZE ---> zeCommandListAppendLaunchKernel(
+// CKB1:  ZE ---> zeCommandListClose(
+// CKB1:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB4:  ZE ---> zeCommandListClose(
+// CKB4:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB8:  ZE ---> zeCommandListClose(
+// CKB8:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKALL: ---> piQueueFinish(
+// CKB3:  ZE ---> zeCommandListClose(
+// CKB3:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB5:  ZE ---> zeCommandListClose(
+// CKB5:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB7:  ZE ---> zeCommandListClose(
+// CKB7:  ZE ---> zeCommandQueueExecuteCommandLists(
+// CKB9:  ZE ---> zeCommandListClose(
+// CKB9:  ZE ---> zeCommandQueueExecuteCommandLists(
+// Now just check for 16 Test Pass kernel validations.
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+
+#include "CL/sycl.hpp"
+#include <chrono>
+#include <cmath>
+#include <iostream>
+
+void validate(uint32_t *result, uint32_t *expect, size_t n) {
+  int error = 0;
+  for (int i = 0; i < n; i++) {
+    if (result[i] != expect[i]) {
+      error++;
+      if (error < 10) {
+        printf("Error: %d, expect: %d\n", result[i], expect[i]);
+      }
+    }
+  }
+  error > 0 ? printf("Error: %d\n", error) : printf("Test Pass\n");
+}
+
+int main(int argc, char *argv[]) {
+  size_t M = 16;
+  size_t N = 4;
+  size_t AL = M * N * sizeof(uint32_t);
+
+  sycl::queue q(sycl::default_selector_v);
+  auto ctx = q.get_context();
+  auto dev = q.get_device();
+
+  uint32_t *Y1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z2 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z3 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z4 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z5 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z6 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z7 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z8 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+
+  uint32_t *X1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X2 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X3 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X4 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X5 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X6 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X7 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *X8 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+
+  for (size_t i = 0; i < M * N; i++) {
+    Y1[i] = i % 255;
+    X1[i] = X2[i] = X3[i] = X4[i] = X5[i] = X6[i] = X7[i] = X8[i] = 0;
+  }
+
+  memset(Z1, '\0', AL);
+  memset(Z2, '\0', AL);
+  memset(Z3, '\0', AL);
+  memset(Z4, '\0', AL);
+  memset(Z5, '\0', AL);
+  memset(Z6, '\0', AL);
+  memset(Z7, '\0', AL);
+  memset(Z8, '\0', AL);
+
+  {
+    for (size_t j = 0; j < 3; j++) {
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy1>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z1[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X1, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy2>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z2[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X2, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy3>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z3[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X3, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy4>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z4[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X4, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy5>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z5[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X5, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy6>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z6[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X6, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy7>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z7[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X7, Y1, sizeof(uint32_t) * M * N);
+
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy8>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z8[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.memcpy(X8, Y1, sizeof(uint32_t) * M * N);
+
+      q.wait();
+    }
+  }
+  validate(Y1, Z1, M * N);
+  validate(Y1, Z2, M * N);
+  validate(Y1, Z3, M * N);
+  validate(Y1, Z4, M * N);
+  validate(Y1, Z5, M * N);
+  validate(Y1, Z6, M * N);
+  validate(Y1, Z7, M * N);
+  validate(Y1, Z8, M * N);
+
+  validate(Y1, X1, M * N);
+  validate(Y1, X2, M * N);
+  validate(Y1, X3, M * N);
+  validate(Y1, X4, M * N);
+  validate(Y1, X5, M * N);
+  validate(Y1, X6, M * N);
+  validate(Y1, X7, M * N);
+  validate(Y1, X8, M * N);
+
+  sycl::free(Y1, ctx);
+  sycl::free(Z1, ctx);
+  sycl::free(Z2, ctx);
+  sycl::free(Z3, ctx);
+  sycl::free(Z4, ctx);
+  sycl::free(Z5, ctx);
+  sycl::free(Z6, ctx);
+  sycl::free(Z7, ctx);
+  sycl::free(Z8, ctx);
+
+  sycl::free(X1, ctx);
+  sycl::free(X2, ctx);
+  sycl::free(X3, ctx);
+  sycl::free(X4, ctx);
+  sycl::free(X5, ctx);
+  sycl::free(X6, ctx);
+  sycl::free(X7, ctx);
+  sycl::free(X8, ctx);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_device_free_mem.cpp b/sycl/test-e2e/Plugin/level_zero_device_free_mem.cpp
new file mode 100644
index 0000000000000..66b7970f538cb
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_device_free_mem.cpp
@@ -0,0 +1,62 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// UNSUPPORTED: gpu-intel-gen9, gpu-intel-gen12
+// The query of free memory is not supported on integrated devices
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZES_ENABLE_SYSMAN=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// The test is to check that the free device memory is reported by Level Zero
+// backend
+//
+// CHECK: Root-device free memory
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+
+  queue Queue;
+  auto dev = Queue.get_device();
+  std::cout << "Device: " << dev.get_info<info::device::name>() << std::endl;
+
+  if (!dev.is_host() && dev.has(aspect::ext_intel_free_memory)) {
+    auto TotalMemory = dev.get_info<sycl::info::device::global_mem_size>();
+    auto FreeMemory = dev.get_info<ext::intel::info::device::free_memory>();
+    std::cout << "Root-device total memory: " << TotalMemory << std::endl;
+    std::cout << "Root-device free  memory: " << FreeMemory << std::endl;
+    assert(TotalMemory >= FreeMemory);
+
+    try { // guard for when no partitioning is supported
+
+      auto sub_devices = dev.create_sub_devices<
+          info::partition_property::partition_by_affinity_domain>(
+          info::partition_affinity_domain::next_partitionable);
+
+      int I = 0;
+      for (auto &sub_device : sub_devices) {
+        ++I;
+        auto SubDeviceTotalMemory =
+            sub_device.get_info<sycl::info::device::global_mem_size>();
+        auto SubDeviceFreeMemory =
+            sub_device.get_info<ext::intel::info::device::free_memory>();
+        std::cout << I << " sub-device total memory: " << SubDeviceTotalMemory
+                  << std::endl;
+        std::cout << I << " sub-device free  memory: " << SubDeviceFreeMemory
+                  << std::endl;
+        assert(SubDeviceFreeMemory <= FreeMemory);
+        assert(SubDeviceTotalMemory >= SubDeviceFreeMemory);
+        assert(SubDeviceTotalMemory <= TotalMemory);
+      }
+
+    } catch (...) {
+    }
+
+  } else {
+    std::cout
+        << "Query ext_intel_device_info_free_memory not supported by the device"
+        << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_device_memory_clock_rate_and_bus_width.cpp b/sycl/test-e2e/Plugin/level_zero_device_memory_clock_rate_and_bus_width.cpp
new file mode 100644
index 0000000000000..df1182283f8ad
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_device_memory_clock_rate_and_bus_width.cpp
@@ -0,0 +1,43 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// The test is to check that the memory clock rate and bus width is reported be
+// Level Zero backend
+//
+// CHECK: Memory clock rate
+// CHECK: Memory bus width
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+
+  queue Queue;
+  auto dev = Queue.get_device();
+  std::cout << "Device: " << dev.get_info<info::device::name>() << std::endl;
+
+  if (dev.has(aspect::ext_intel_memory_clock_rate)) {
+    auto MemoryClockRate =
+        dev.get_info<ext::intel::info::device::memory_clock_rate>();
+    std::cout << "Memory clock rate: " << MemoryClockRate << std::endl;
+  } else {
+    std::cout << "Query ext_intel_device_info_memory_clock_rate not supported "
+                 "by the device"
+              << std::endl;
+  }
+
+  if (dev.has(aspect::ext_intel_memory_bus_width)) {
+    auto MemoryBusWidth =
+        dev.get_info<ext::intel::info::device::memory_bus_width>();
+    std::cout << "Memory bus width: " << MemoryBusWidth << std::endl;
+  } else {
+    std::cout << "Query ext_intel_device_info_memory_bus_width not supported "
+                 "by the device"
+              << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_device_scope_events.cpp b/sycl/test-e2e/Plugin/level_zero_device_scope_events.cpp
new file mode 100644
index 0000000000000..851e7caf7c675
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_device_scope_events.cpp
@@ -0,0 +1,53 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=1 SYCL_PI_TRACE=-1 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=MODE1 %s
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_TRACE=-1 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=MODE2 %s
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+// Checks that with L0 device-scope events enabled the only host-visible L0
+// event created is at the end of all kernels submission, when host waits for
+// the last kernel's event.
+//
+// clang-format off
+// MODE1-LABEL: Submitted all kernels
+// MODE1: ---> piEventsWait(
+// MODE1-NEXT:        <unknown> : 1
+// MODE1: ze_event_pool_desc_t flags set to: 1
+// MODE1: ZE ---> zeEventCreate(ZeEventPool, &ZeEventDesc, &ZeEvent)
+// MODE1: ZE ---> zeCommandListAppendWaitOnEvents(CommandList->first, 1, &ZeEvent)
+// MODE1-NEXT: ZE ---> zeCommandListAppendSignalEvent(CommandList->first, HostVisibleEvent->ZeEvent)
+// MODE1: Completed all kernels
+
+// With the SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 mode look for pattern that
+// creates host-visible event just before command-list submission.
+//
+// MODE2: ze_event_pool_desc_t flags set to: 1
+// MODE2: ZE ---> zeEventCreate(ZeEventPool, &ZeEventDesc, &ZeEvent)
+// MODE2: ZE ---> zeCommandListAppendBarrier(CommandList->first, HostVisibleEvent->ZeEvent, 0, nullptr)
+// MODE2: ZE ---> zeCommandListClose(CommandList->first)
+// MODE2: ZE ---> zeCommandQueueExecuteCommandLists(ZeCommandQueue, 1, &ZeCommandList, CommandList->second.ZeFence)
+// clang-format on
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main(int argc, char **argv) {
+  sycl::queue queue(sycl::gpu_selector_v);
+
+  int N = (argc >= 2 ? std::atoi(argv[1]) : 100);
+  std::cout << N << " kernels" << std::endl;
+
+  sycl::event e; // completed event
+  for (int i = 0; i < N; i++) {
+    e = queue.submit([&](sycl::handler &h) {
+      h.depends_on(e);
+      h.single_task<class kernel>([=] {});
+    });
+  } // for
+
+  std::cout << "Submitted all kernels" << std::endl;
+  e.wait(); // Waits for the last kernel to complete.
+  std::cout << "Completed all kernels" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_dynamic_batch_test.cpp b/sycl/test-e2e/Plugin/level_zero_dynamic_batch_test.cpp
new file mode 100644
index 0000000000000..0697e5b0d5560
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_dynamic_batch_test.cpp
@@ -0,0 +1,231 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.ooo.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -DUSING_INORDER -o %t.ino.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -DUSING_DISCARD_EVENTS -o %t.discard_events.out
+
+// Check that dynamic batching raises/lowers batch size
+// RUN: env SYCL_PI_TRACE=2 ZE_DEBUG=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 %GPU_RUN_PLACEHOLDER %t.ooo.out 2>&1 | FileCheck --check-prefixes=CKALL,CKDYN %s
+// RUN: env SYCL_PI_TRACE=2 ZE_DEBUG=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 %GPU_RUN_PLACEHOLDER %t.ino.out 2>&1 | FileCheck --check-prefixes=CKALL,CKDYN %s
+// RUN: env SYCL_PI_TRACE=2 ZE_DEBUG=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=2 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 %GPU_RUN_PLACEHOLDER %t.discard_events.out 2>&1 | FileCheck --check-prefixes=CKALL,CKDYN %s
+
+// level_zero_dynamic_batch_test.cpp
+//
+// This tests the level zero plugin's kernel dynamic batch size adjustment
+// code.
+// It starts out by enqueing 40 kernels before it does a wait, and it does
+// this 5 times.  That should cause the dynamic batch size adjustment to
+// raise the batch size up 3 times.
+//
+// Then the test starts enqueueing only 4 kernels before doing a wait, and
+// it does that 25 times.  That should cause the batch size to
+// be lowered to be less than 4.
+//
+// CKDYN: Raising QueueBatchSize to 5
+// CKDYN: Raising QueueBatchSize to 6
+// CKDYN: Raising QueueBatchSize to 7
+// CKDYN-NOT: Raising QueueBatchSize
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKDYN: Lowering QueueBatchSize to 3
+// CKDYN-NOT: Lowering QueueBatchSize
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+// CKALL: Test Pass
+
+#include "CL/sycl.hpp"
+#include <chrono>
+#include <cmath>
+#include <iostream>
+
+void validate(uint32_t *result, uint32_t *expect, size_t n) {
+  int error = 0;
+  for (int i = 0; i < n; i++) {
+    if (result[i] != expect[i]) {
+      error++;
+      if (error < 10) {
+        printf("Error: %d, expect: %d\n", result[i], expect[i]);
+      }
+    }
+  }
+  error > 0 ? printf("Error: %d\n", error) : printf("Test Pass\n");
+}
+
+int main(int argc, char *argv[]) {
+  size_t M = 65536;
+  size_t N = 512 / 4;
+  size_t AL = M * N * sizeof(uint32_t);
+
+#ifdef USING_INORDER
+  sycl::property_list Props{sycl::property::queue::in_order{}};
+#elif USING_DISCARD_EVENTS
+  sycl::property_list Props{
+      sycl::property::queue::in_order{},
+      sycl::ext::oneapi::property::queue::discard_events{}};
+#else
+  sycl::property_list Props{};
+#endif
+  sycl::queue q(sycl::default_selector_v, Props);
+  auto ctx = q.get_context();
+  auto dev = q.get_device();
+
+  uint32_t *Y1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z1 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z2 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z3 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z4 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z5 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z6 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z7 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+  uint32_t *Z8 = static_cast<uint32_t *>(sycl::malloc_shared(AL, dev, ctx));
+
+  for (size_t i = 0; i < M * N; i++) {
+    Y1[i] = i % 255;
+  }
+
+  memset(Z1, '\0', AL);
+  memset(Z2, '\0', AL);
+  memset(Z3, '\0', AL);
+  memset(Z4, '\0', AL);
+  memset(Z5, '\0', AL);
+  memset(Z6, '\0', AL);
+  memset(Z7, '\0', AL);
+  memset(Z8, '\0', AL);
+
+  for (size_t i = 0; i < 5; i++) {
+    for (size_t j = 0; j < 5; j++) {
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy1>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z1[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy2>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z2[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy3>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z3[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy4>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z4[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy5>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z5[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy6>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z6[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy7>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z7[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+      q.submit([&](sycl::handler &h) {
+        h.parallel_for<class u32_copy8>(sycl::range<2>{M, N},
+                                        [=](sycl::id<2> it) {
+                                          const int m = it[0];
+                                          const int n = it[1];
+                                          Z8[m * N + n] = Y1[m * N + n];
+                                        });
+      });
+    }
+    q.wait();
+  }
+
+  validate(Y1, Z1, M * N);
+  validate(Y1, Z2, M * N);
+  validate(Y1, Z3, M * N);
+  validate(Y1, Z4, M * N);
+  validate(Y1, Z5, M * N);
+  validate(Y1, Z6, M * N);
+  validate(Y1, Z7, M * N);
+  validate(Y1, Z8, M * N);
+
+  for (size_t i = 0; i < 25; i++) {
+    q.submit([&](sycl::handler &h) {
+      h.parallel_for<class u32_copy9>(sycl::range<2>{M, N},
+                                      [=](sycl::id<2> it) {
+                                        const int m = it[0];
+                                        const int n = it[1];
+                                        Z1[m * N + n] = Y1[m * N + n];
+                                      });
+    });
+    q.submit([&](sycl::handler &h) {
+      h.parallel_for<class u32_copy10>(sycl::range<2>{M, N},
+                                       [=](sycl::id<2> it) {
+                                         const int m = it[0];
+                                         const int n = it[1];
+                                         Z2[m * N + n] = Y1[m * N + n];
+                                       });
+    });
+    q.submit([&](sycl::handler &h) {
+      h.parallel_for<class u32_copy11>(sycl::range<2>{M, N},
+                                       [=](sycl::id<2> it) {
+                                         const int m = it[0];
+                                         const int n = it[1];
+                                         Z3[m * N + n] = Y1[m * N + n];
+                                       });
+    });
+    q.submit([&](sycl::handler &h) {
+      h.parallel_for<class u32_copy12>(sycl::range<2>{M, N},
+                                       [=](sycl::id<2> it) {
+                                         const int m = it[0];
+                                         const int n = it[1];
+                                         Z4[m * N + n] = Y1[m * N + n];
+                                       });
+    });
+    q.wait();
+  }
+  validate(Y1, Z1, M * N);
+  validate(Y1, Z2, M * N);
+  validate(Y1, Z3, M * N);
+  validate(Y1, Z4, M * N);
+
+  sycl::free(Y1, ctx);
+  sycl::free(Z1, ctx);
+  sycl::free(Z2, ctx);
+  sycl::free(Z3, ctx);
+  sycl::free(Z4, ctx);
+  sycl::free(Z5, ctx);
+  sycl::free(Z6, ctx);
+  sycl::free(Z7, ctx);
+  sycl::free(Z8, ctx);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_eager_init.cpp b/sycl/test-e2e/Plugin/level_zero_eager_init.cpp
new file mode 100644
index 0000000000000..1e237f61a39f6
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_eager_init.cpp
@@ -0,0 +1,56 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZE_DEBUG=1 SYCL_EAGER_INIT=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// The test is to check that under SYCL_EAGER_INIT=1 there is no calls to
+// heavy L0 initialization in the hot reportable path.
+//
+// CHECK-LABEL: HOT HOT HOT
+// CHECK-NOT: zeCommandQueueCreate
+// CHECK-NOT: zeCommandListCreate
+// CHECK-NOT: zeFenceCreate
+//
+
+#include <CL/sycl.hpp>
+
+#include <array>
+#include <iostream>
+
+constexpr sycl::access::mode sycl_read = sycl::access::mode::read;
+constexpr sycl::access::mode sycl_write = sycl::access::mode::write;
+
+/* This is the class used to name the kernel for the runtime.
+ * This must be done when the kernel is expressed as a lambda. */
+template <typename T> class SimpleVadd;
+
+template <typename T, size_t N>
+void simple_vadd(sycl::queue &Queue, const std::array<T, N> &VA,
+                 const std::array<T, N> &VB, std::array<T, N> &VC) {
+  sycl::range<1> numOfItems{N};
+  sycl::buffer<T, 1> bufferA(VA.data(), numOfItems);
+  sycl::buffer<T, 1> bufferB(VB.data(), numOfItems);
+  sycl::buffer<T, 1> bufferC(VC.data(), numOfItems);
+
+  Queue.submit([&](sycl::handler &cgh) {
+    auto accessorA = bufferA.template get_access<sycl_read>(cgh);
+    auto accessorB = bufferB.template get_access<sycl_read>(cgh);
+    auto accessorC = bufferC.template get_access<sycl_write>(cgh);
+
+    cgh.parallel_for<class SimpleVadd<T>>(numOfItems, [=](sycl::id<1> wiID) {
+      accessorC[wiID] = accessorA[wiID] + accessorB[wiID];
+    });
+  });
+}
+
+int main() {
+  const size_t array_size = 4;
+  std::array<sycl::cl_int, array_size> A = {{1, 2, 3, 4}}, B = {{1, 2, 3, 4}},
+                                       C;
+  sycl::queue Q;
+
+  // simple_vadd(Q, A, B, C);
+  std::cerr << "\n\n\nHOT HOT HOT\n\n\n";
+  simple_vadd(Q, A, B, C);
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_events_caching.cpp b/sycl/test-e2e/Plugin/level_zero_events_caching.cpp
new file mode 100644
index 0000000000000..86da4fec71fb8
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_events_caching.cpp
@@ -0,0 +1,29 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CACHING-ENABLED %s
+// RUN: env SYCL_PI_LEVEL_ZERO_DISABLE_EVENTS_CACHING=0 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CACHING-ENABLED %s
+// RUN: env SYCL_PI_LEVEL_ZERO_DISABLE_EVENTS_CACHING=1 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CACHING-DISABLED %s
+
+// With events caching we should be reusing them and 9 should be enough.
+// Might require more than one if previous one hasn't been released by the time
+// we need a new one.
+
+// CACHING-ENABLED: zeEventCreate = {{[1-9]}}
+// CACHING-DISABLED: zeEventCreate = 256
+
+// Check event caching modes in the L0 plugin.
+
+#include <CL/sycl.hpp>
+
+int main() {
+  cl::sycl::queue deviceQueue;
+
+  for (int i = 0; i < 256; i++) {
+    auto Event = deviceQueue.submit([&](cl::sycl::handler &cgh) {
+      cgh.single_task<class SimpleKernel>([=]() {});
+    });
+    Event.wait();
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_events_caching_leak.cpp b/sycl/test-e2e/Plugin/level_zero_events_caching_leak.cpp
new file mode 100644
index 0000000000000..f2e88fa76eca2
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_events_caching_leak.cpp
@@ -0,0 +1,38 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZE_MAX_NUMBER_OF_EVENTS_PER_EVENT_POOL=4 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_DISABLE_EVENTS_CACHING=1 ZE_MAX_NUMBER_OF_EVENTS_PER_EVENT_POOL=4 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out
+
+// Check that events and pools are not leaked when event caching is
+// enabled/disabled.
+
+#include <CL/sycl.hpp>
+#include <array>
+
+constexpr cl::sycl::access::mode sycl_read = cl::sycl::access::mode::read;
+constexpr cl::sycl::access::mode sycl_write = cl::sycl::access::mode::write;
+
+int main() {
+  cl::sycl::queue deviceQueue;
+
+  const size_t array_size = 4;
+  std::array<int, array_size> A = {{1, 2, 3, 4}}, B = {{1, 2, 3, 4}}, C;
+  cl::sycl::range<1> numOfItems{array_size};
+  cl::sycl::buffer<int, 1> bufferA(A.data(), numOfItems);
+  cl::sycl::buffer<int, 1> bufferB(B.data(), numOfItems);
+  cl::sycl::buffer<int, 1> bufferC(C.data(), numOfItems);
+
+  for (int i = 0; i < 256; i++) {
+    deviceQueue.submit([&](cl::sycl::handler &cgh) {
+      auto accessorA = bufferA.get_access<sycl_read>(cgh);
+      auto accessorB = bufferB.get_access<sycl_read>(cgh);
+      auto accessorC = bufferC.get_access<sycl_write>(cgh);
+
+      cgh.parallel_for<class SimpleVadd>(numOfItems, [=](cl::sycl::id<1> wiID) {
+        accessorC[wiID] = accessorA[wiID] + accessorB[wiID];
+      });
+    });
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_ext_intel_cslice.cpp b/sycl/test-e2e/Plugin/level_zero_ext_intel_cslice.cpp
new file mode 100644
index 0000000000000..ff6c9a4bffa68
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_ext_intel_cslice.cpp
@@ -0,0 +1,191 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+
+// RUN: env ZEX_NUMBER_OF_CCS=0:4 env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out > %t.default.log 2>&1
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --check-prefixes=CHECK-PVC < %t.default.log
+
+// RUN: env SYCL_PI_LEVEL_ZERO_EXPOSE_CSLICE_IN_AFFINITY_PARTITIONING=1 \
+// RUN:   env ZEX_NUMBER_OF_CCS=0:4 env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out> %t.compat.log 2>&1
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --check-prefixes=CHECK-PVC,CHECK-PVC-AFFINITY < %t.compat.log
+
+// Same, but using immediate commandlists:
+
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 env ZEX_NUMBER_OF_CCS=0:4 env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out > %t.default.log 2>&1
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --check-prefixes=CHECK-PVC < %t.default.log
+
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 env SYCL_PI_LEVEL_ZERO_EXPOSE_CSLICE_IN_AFFINITY_PARTITIONING=1 \
+// RUN:   env ZEX_NUMBER_OF_CCS=0:4 env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out> %t.compat.log 2>&1
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --check-prefixes=CHECK-PVC,CHECK-PVC-AFFINITY < %t.compat.log
+
+// REQUIRES: level_zero
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// Specified in the RUN line.
+static constexpr int NumCSlices = 4;
+static const bool ExposeCSliceInAffinityPartitioning = [] {
+  const char *Flag =
+      std::getenv("SYCL_PI_LEVEL_ZERO_EXPOSE_CSLICE_IN_AFFINITY_PARTITIONING");
+  return Flag ? std::atoi(Flag) != 0 : false;
+}();
+
+template <typename RangeTy, typename ElemTy>
+bool contains(RangeTy &&Range, const ElemTy &Elem) {
+  return std::find(Range.begin(), Range.end(), Elem) != Range.end();
+}
+
+bool isPartitionableBy(device &Dev, info::partition_property Prop) {
+  return contains(Dev.get_info<info::device::partition_properties>(), Prop);
+}
+
+bool isPartitionableByCSlice(device &Dev) {
+  return isPartitionableBy(
+      Dev, info::partition_property::ext_intel_partition_by_cslice);
+}
+
+bool isPartitionableByAffinityDomain(device &Dev) {
+  return isPartitionableBy(
+      Dev, info::partition_property::partition_by_affinity_domain);
+}
+
+void test_pvc(device &d) {
+  std::cout << "Test PVC Begin" << std::endl;
+  // CHECK-PVC: Test PVC Begin
+  bool IsPVC = [&]() {
+    if (!d.has(aspect::ext_intel_device_id))
+      return false;
+    return (d.get_info<ext::intel::info::device::device_id>() & 0xff0) == 0xbd0;
+  }();
+  std::cout << "IsPVC: " << std::boolalpha << IsPVC << std::endl;
+  if (IsPVC) {
+
+    assert(isPartitionableByAffinityDomain(d));
+    assert(!isPartitionableByCSlice(d));
+    {
+      try {
+        std::ignore = d.create_sub_devices<
+            info::partition_property::ext_intel_partition_by_cslice>();
+        assert(false && "Expected an exception to be thrown earlier!");
+      } catch (sycl::exception &e) {
+        assert(e.code() == errc::feature_not_supported);
+      }
+    }
+
+    auto sub_devices = d.create_sub_devices<
+        info::partition_property::partition_by_affinity_domain>(
+        info::partition_affinity_domain::next_partitionable);
+    device &sub_device = sub_devices[1];
+    assert(isPartitionableByAffinityDomain(sub_device) ==
+           ExposeCSliceInAffinityPartitioning);
+    assert(isPartitionableByCSlice(sub_device));
+    assert(sub_device.get_info<info::device::partition_type_property>() ==
+           info::partition_property::partition_by_affinity_domain);
+
+    {
+      try {
+        std::ignore = sub_device.create_sub_devices<
+            info::partition_property::partition_by_affinity_domain>(
+            info::partition_affinity_domain::next_partitionable);
+        assert(ExposeCSliceInAffinityPartitioning &&
+               "Expected an exception to be thrown earlier!");
+      } catch (sycl::exception &e) {
+        assert(e.code() == errc::feature_not_supported);
+      }
+    }
+
+    auto VerifySubSubDevice = [&](auto &sub_sub_devices) {
+      device &sub_sub_device = sub_sub_devices[1];
+      assert(sub_sub_devices.size() == NumCSlices);
+      assert(!isPartitionableByAffinityDomain(sub_sub_device));
+      assert(!isPartitionableByCSlice(sub_sub_device));
+
+      // Note that we still report this sub-sub-device as created via
+      // partitioning by cslice even if it was partition by affinity domain.
+      // This is a known limitation that we won't address as the whole code path
+      // (exposing CSlice as sub-devices via partitioning by affinity domaing
+      // using SYCL_PI_LEVEL_ZERO_EXPOSE_CSLICE_IN_AFFINITY_PARTITIONING
+      // environment variable) is deprecated  and is going to be removed.
+      assert(sub_sub_device.get_info<info::device::partition_type_property>() ==
+             info::partition_property::ext_intel_partition_by_cslice);
+
+      assert(sub_sub_device.get_info<info::device::max_compute_units>() *
+                 NumCSlices ==
+             sub_device.get_info<info::device::max_compute_units>());
+
+      {
+        queue q{sub_device};
+        q.single_task([=]() {});
+      }
+      {
+        queue q{sub_sub_device};
+        q.single_task([=]() {});
+      }
+      // CHECK-PVC:          [getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])
+      // CHECK-PVC:          [getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])
+      // CHECK-PVC-AFFINITY: [getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])
+      // CHECK-PVC-AFFINITY: [getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])
+    };
+    {
+      auto sub_sub_devices = sub_device.create_sub_devices<
+          info::partition_property::ext_intel_partition_by_cslice>();
+      VerifySubSubDevice(sub_sub_devices);
+    }
+
+    if (ExposeCSliceInAffinityPartitioning) {
+      auto sub_sub_devices = sub_device.create_sub_devices<
+          info::partition_property::partition_by_affinity_domain>(
+          info::partition_affinity_domain::next_partitionable);
+      VerifySubSubDevice(sub_sub_devices);
+    }
+  } else {
+    // Make FileCheck pass.
+    std::cout << "Fake ZE_DEBUG output for FileCheck:" << std::endl;
+    // clang-format off
+    std::cout << "[getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])" << std::endl;
+    std::cout << "[getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])" << std::endl;
+    if (ExposeCSliceInAffinityPartitioning) {
+      std::cout << "[getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])" << std::endl;
+      std::cout << "[getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])" << std::endl;
+    }
+    // clang-format on
+  }
+  std::cout << "Test PVC End" << std::endl;
+  // CHECK-PVC: Test PVC End
+}
+
+void test_non_pvc(device d) {
+  bool IsPVC = [&]() {
+    if (!d.has(aspect::ext_intel_device_id))
+      return false;
+    return (d.get_info<ext::intel::info::device::device_id>() & 0xff0) == 0xbd0;
+  }();
+
+  if (IsPVC)
+    return;
+
+  // Non-PVC devices are not partitionable by CSlice at any level of
+  // partitioning.
+
+  while (true) {
+    assert(!isPartitionableByCSlice(d));
+
+    if (!isPartitionableByAffinityDomain(d))
+      // No more sub-devices.
+      break;
+
+    auto sub_devices = d.create_sub_devices<
+        info::partition_property::partition_by_affinity_domain>(
+        info::partition_affinity_domain::next_partitionable);
+    d = sub_devices[0];
+  }
+}
+
+int main() {
+  device d;
+
+  test_pvc(d);
+  test_non_pvc(d);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_ext_intel_queue_index.cpp b/sycl/test-e2e/Plugin/level_zero_ext_intel_queue_index.cpp
new file mode 100644
index 0000000000000..f1a8593db4f1a
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_ext_intel_queue_index.cpp
@@ -0,0 +1,107 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZEX_NUMBER_OF_CCS=0:4 env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out > %t.log 2>&1
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --check-prefixes=CHECK-PVC < %t.log
+//
+// Same with Immediate CommandLists
+// RUN: env SYCL_PI_LEVEL_ZERO_EXPOSE_CSLICE_IN_AFFINITY_PARTITIONING=1 env ZEX_NUMBER_OF_CCS=0:4 env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out > %t.log 2>&1
+// RUN: %GPU_RUN_PLACEHOLDER FileCheck %s --check-prefixes=CHECK-PVC < %t.log
+
+// REQUIRES: level_zero
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void test_pvc(device &d) {
+  std::cout << "Test PVC Begin" << std::endl;
+  // CHECK-PVC: Test PVC Begin
+  bool IsPVC = [&]() {
+    if (!d.has(aspect::ext_intel_device_id))
+      return false;
+    return (d.get_info<ext::intel::info::device::device_id>() & 0xff0) == 0xbd0;
+  }();
+  std::cout << "IsPVC: " << std::boolalpha << IsPVC << std::endl;
+  if (IsPVC) {
+    assert(d.get_info<ext::intel::info::device::max_compute_queue_indices>() ==
+           1);
+
+    auto sub_devices = d.create_sub_devices<
+        info::partition_property::partition_by_affinity_domain>(
+        info::partition_affinity_domain::next_partitionable);
+    device &sub_device = sub_devices[1];
+    assert(
+        sub_device
+            .get_info<ext::intel::info::device::max_compute_queue_indices>() ==
+        4);
+
+    auto sub_sub_devices = sub_device.create_sub_devices<
+        info::partition_property::ext_intel_partition_by_cslice>();
+    device &sub_sub_device = sub_sub_devices[1];
+    assert(
+        sub_sub_device
+            .get_info<ext::intel::info::device::max_compute_queue_indices>() ==
+        1);
+
+    {
+      bool ExceptionThrown = false;
+      try {
+        std::ignore = queue{d, ext::intel::property::queue::compute_index{-1}};
+
+      } catch (...) {
+        ExceptionThrown = true;
+      }
+      assert(ExceptionThrown);
+    }
+    {
+      bool ExceptionThrown = false;
+      try {
+        std::ignore = queue{sub_sub_device,
+                            ext::intel::property::queue::compute_index{1}};
+
+      } catch (...) {
+        ExceptionThrown = true;
+      }
+      assert(ExceptionThrown);
+    }
+
+    {
+      queue q{sub_device};
+      // CHECK-PVC: [getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])
+      q.single_task([=]() {}).wait();
+    }
+    {
+      queue q{sub_device, ext::intel::property::queue::compute_index{2}};
+      // CHECK-PVC: [getZeQueue]: create queue ordinal = 0, index = 2 (round robin in [2, 2])
+      q.single_task([=]() {}).wait();
+    }
+    {
+      queue q{sub_device, ext::intel::property::queue::compute_index{2}};
+      // CHECK-PVC: [getZeQueue]: create queue ordinal = 0, index = 2 (round robin in [2, 2])
+      q.single_task([=]() {}).wait();
+    }
+    {
+      queue q{sub_sub_device};
+      // CHECK-PVC: [getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])
+      q.single_task([=]() {}).wait();
+    }
+  } else {
+    // Make FileCheck pass.
+    std::cout << "Fake ZE_DEBUG output for FileCheck:" << std::endl;
+    // clang-format off
+    std::cout << "[getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])" << std::endl;
+    std::cout << "[getZeQueue]: create queue ordinal = 0, index = 2 (round robin in [2, 2])" << std::endl;
+    std::cout << "[getZeQueue]: create queue ordinal = 0, index = 2 (round robin in [2, 2])" << std::endl;
+    std::cout << "[getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])" << std::endl;
+    // clang-format on
+  }
+  std::cout << "Test PVC End" << std::endl;
+  // CHECK-PVC: Test PVC End
+}
+
+int main() {
+  device d;
+
+  test_pvc(d);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_imm_cmdlist.cpp b/sycl/test-e2e/Plugin/level_zero_imm_cmdlist.cpp
new file mode 100755
index 0000000000000..07c77e57c44a6
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_imm_cmdlist.cpp
@@ -0,0 +1,20 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+//
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=1 SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=1 SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: zeCommandListCreate(
+// CHECK: zeCommandListCreateImmediate(
+
+// The test checks that immediate commandlists are used and not regular ones.
+
+#include <sycl/sycl.hpp>
+
+int main(int argc, char **argv) {
+  sycl::queue Q;
+  const unsigned n_chunk = 1000;
+  for (int i = 0; i < n_chunk; i++)
+    Q.single_task([=]() {});
+  Q.wait();
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_imm_cmdlist_per_thread.cpp b/sycl/test-e2e/Plugin/level_zero_imm_cmdlist_per_thread.cpp
new file mode 100755
index 0000000000000..f7ace87aef1f0
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_imm_cmdlist_per_thread.cpp
@@ -0,0 +1,89 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %threads_lib %s -o %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CHECK-ONE-CMDLIST %s
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=2 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=CHECK-PER-THREAD-CMDLIST %s
+
+// The test checks that immediate commandlists are created per-thread.
+// One immediate commandlist is created for device init, the rest for the queue.
+
+// CHECK-ONE-CMDLIST: zeCommandListCreateImmediate = 2
+// CHECK-PER-THREAD-CMDLIST: zeCommandListCreateImmediate = 4
+
+#include <sycl/sycl.hpp>
+#include <thread>
+
+using namespace sycl;
+
+bool results[3];
+
+bool run_sample_kernel(queue Queue, int n) {
+  // Creating buffer of 4 ints to be used inside the kernel code
+  buffer<cl_int, 1> Buffer(4);
+
+  // Size of index space for kernel
+  range<1> NumOfWorkItems{Buffer.size()};
+
+  // Submitting command group(work) to queue
+  Queue.submit([&](handler &cgh) {
+    // Getting write only access to the buffer on a device
+    accessor Accessor = {Buffer, cgh, write_only};
+    // Executing kernel
+    cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](id<1> WIid) {
+      // Fill buffer with indexes
+      Accessor[WIid] = (cl_int)WIid.get(0);
+    });
+  });
+
+  // Getting read only access to the buffer on the host.
+  // Implicit barrier waiting for queue to complete the work.
+  const host_accessor HostAccessor = {Buffer, read_only};
+
+  // Check the results
+  bool MismatchFound = false;
+  for (size_t I = 0; I < Buffer.size(); ++I) {
+    if (HostAccessor[I] != I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I << " , got: " << HostAccessor[I]
+                << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  if (!MismatchFound) {
+    std::cout << "The results are correct!" << std::endl;
+  }
+
+  return MismatchFound;
+}
+
+void run_sample(queue Queue, int n) {
+  results[n] = false;
+  for (int i = 0; i < 5; i++)
+    results[n] |= run_sample_kernel(Queue, n);
+}
+
+int main() {
+
+  // Creating SYCL queue
+  queue Queue;
+
+  // Create one queue
+  auto D = Queue.get_device();
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::string pluginName = D.get_platform().get_info<info::platform::name>();
+  std::cout << "Running on device " << devType << " ("
+            << D.get_info<info::device::name>() << ") " << pluginName
+            << " plugin\n";
+
+  // Use queue in multiple threads
+  std::thread T1(run_sample, Queue, 0);
+  std::thread T2(run_sample, Queue, 1);
+  std::thread T3(run_sample, Queue, 2);
+
+  T1.join();
+  T2.join();
+  T3.join();
+
+  return (results[0] || results[1] || results[2]) ? 1 : 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_inorder.cpp b/sycl/test-e2e/Plugin/level_zero_inorder.cpp
new file mode 100644
index 0000000000000..64248fbe9467c
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_inorder.cpp
@@ -0,0 +1,128 @@
+// REQUIRES: level_zero
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=0 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=2 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that the kernels are executed in-order, regardless of
+// batching. IMPORTANT NOTE: this is a critical test, double-check if your
+// changes are related to L0 events and links between commands.
+
+#include <CL/sycl.hpp>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+
+static constexpr int MAGIC_NUM1 = 2;
+static constexpr int buffer_size = 100;
+sycl::usm::alloc AllocType = sycl::usm::alloc::shared;
+
+const size_t PartSize = 5;
+const bool PartiallyPrint = buffer_size > 2 * PartSize;
+
+void ValidationPrint(const std::string &vectName, int *vect,
+                     const std::function<int(size_t)> &ExpectedVal) {
+  std::cerr << vectName;
+  if (!PartiallyPrint) {
+    for (size_t i = 0u; i < buffer_size; ++i) {
+      std::cerr << " " << vect[i];
+    }
+  } else {
+    for (size_t i = 0u; i < PartSize; ++i) {
+      std::cerr << " " << vect[i];
+    }
+    std::cerr << " ... ";
+    for (size_t i = buffer_size - PartSize; i < buffer_size; ++i) {
+      std::cerr << " " << vect[i];
+    }
+  }
+
+  std::cerr << std::endl << "expected[] = ";
+  if (!PartiallyPrint) {
+    for (size_t i = 0u; i < buffer_size; ++i) {
+      std::cerr << " " << ExpectedVal(i);
+    }
+  } else {
+    for (size_t i = 0u; i < PartSize; ++i) {
+      std::cerr << " " << ExpectedVal(i);
+    }
+    std::cerr << " ... ";
+    for (size_t i = buffer_size - PartSize; i < buffer_size; ++i) {
+      std::cerr << " " << ExpectedVal(i);
+    }
+  }
+  std::cerr << std::endl;
+  for (int i = 0; i < buffer_size; ++i) {
+    if (vect[i] != ExpectedVal(i)) {
+      std::cerr << "i = " << i << " is wrong!!! " << std::endl;
+      break;
+    }
+  }
+  std::cerr << std::endl;
+}
+
+void IfTrueIncrementByValue(sycl::queue Q, sycl::range<1> Range, int *Harray,
+                            int ValueToCheck, int ValueToIncrement) {
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.parallel_for<class increment_usm>(Range, [=](sycl::item<1> itemID) {
+      size_t i = itemID.get_id(0);
+      if (Harray[i] == ValueToCheck) {
+        Harray[i] += ValueToIncrement;
+      }
+    });
+  });
+}
+
+void RunCalculation(sycl::queue Q) {
+  sycl::range<1> Range(buffer_size);
+  auto Dev = Q.get_device();
+  if (!Dev.has(sycl::aspect::usm_shared_allocations))
+    return;
+
+  int *values = sycl::malloc<int>(buffer_size, Dev, Q.get_context(), AllocType);
+
+  try {
+    Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(Range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        values[i] = 1;
+      });
+    });
+
+    IfTrueIncrementByValue(Q, Range, values, 1, 10);
+
+    IfTrueIncrementByValue(Q, Range, values, 11, 100);
+
+    IfTrueIncrementByValue(Q, Range, values, 111, 1000);
+
+    IfTrueIncrementByValue(Q, Range, values, 1111, 10000);
+
+    IfTrueIncrementByValue(Q, Range, values, 11111, 100000);
+
+    Q.wait();
+
+    ValidationPrint("vector[]  = ", values, [&](size_t i) { return 111111; });
+
+    for (int i = 0; i < buffer_size; ++i) {
+      int expected = 111111;
+      assert(values[i] == expected);
+    }
+
+  } catch (sycl::exception &e) {
+    std::cout << "Exception: " << std::string(e.what()) << std::endl;
+  }
+
+  free(values, Q);
+}
+
+int main(int argc, char *argv[]) {
+  sycl::queue Q({sycl::property::queue::in_order{}});
+
+  RunCalculation(Q);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_inorder_interleaving_kernel_copy.cpp b/sycl/test-e2e/Plugin/level_zero_inorder_interleaving_kernel_copy.cpp
new file mode 100644
index 0000000000000..8b138a495cf65
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_inorder_interleaving_kernel_copy.cpp
@@ -0,0 +1,159 @@
+// REQUIRES: level_zero
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=0 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=1 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=2 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_BATCH_SIZE=3 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out
+//
+// The test checks that interleaving using copy and kernel operations are
+// performed in-order, regardless of batching. IMPORTANT NOTE: this is a
+// critical test, double-check if your changes are related to L0 events and
+// links between commands.
+
+#include <CL/sycl.hpp>
+#include <cassert>
+#include <iostream>
+#include <numeric>
+
+static constexpr int MAGIC_NUM1 = 2;
+static constexpr int buffer_size = 100;
+sycl::usm::alloc AllocType = sycl::usm::alloc::device;
+
+const size_t PartSize = 5;
+const bool PartiallyPrint = buffer_size > 2 * PartSize;
+
+void ValidationPrint(const std::string &vectName, const std::vector<int> &vect,
+                     const std::function<int(size_t)> &ExpectedVal) {
+  std::cerr << vectName;
+  if (!PartiallyPrint) {
+    for (size_t i = 0u; i < buffer_size; ++i) {
+      std::cerr << " " << vect[i];
+    }
+  } else {
+    for (size_t i = 0u; i < PartSize; ++i) {
+      std::cerr << " " << vect[i];
+    }
+    std::cerr << " ... ";
+    for (size_t i = buffer_size - PartSize; i < buffer_size; ++i) {
+      std::cerr << " " << vect[i];
+    }
+  }
+
+  std::cerr << std::endl << "expected[] = ";
+  if (!PartiallyPrint) {
+    for (size_t i = 0u; i < buffer_size; ++i) {
+      std::cerr << " " << ExpectedVal(i);
+    }
+  } else {
+    for (size_t i = 0u; i < PartSize; ++i) {
+      std::cerr << " " << ExpectedVal(i);
+    }
+    std::cerr << " ... ";
+    for (size_t i = buffer_size - PartSize; i < buffer_size; ++i) {
+      std::cerr << " " << ExpectedVal(i);
+    }
+  }
+  std::cerr << std::endl;
+  for (int i = 0; i < buffer_size; ++i) {
+    if (vect[i] != ExpectedVal(i)) {
+      std::cerr << "i = " << i << " is wrong!!! " << std::endl;
+      break;
+    }
+  }
+  std::cerr << std::endl;
+}
+
+void RunCalculation(sycl::queue Q) {
+  sycl::range<1> Range(buffer_size);
+  auto Dev = Q.get_device();
+  if (!Dev.has(sycl::aspect::usm_device_allocations))
+    return;
+
+  int *Dvalues =
+      sycl::malloc<int>(buffer_size, Dev, Q.get_context(), AllocType);
+  int *DvaluesTmp =
+      sycl::malloc<int>(buffer_size, Dev, Q.get_context(), AllocType);
+
+  std::vector<int> Hvalues1(buffer_size, 0);
+  std::vector<int> HvaluesTmp(buffer_size, 0);
+  std::iota(Hvalues1.begin(), Hvalues1.end(), 0);
+
+  try {
+    Q.memcpy(Dvalues, Hvalues1.data(), buffer_size * sizeof(int));
+
+    Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(Range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (Dvalues[i] == i)
+          Dvalues[i] += 1;
+      });
+    });
+
+    Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(Range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (Dvalues[i] == i + 1)
+          Dvalues[i] += 10;
+      });
+    });
+
+    Q.memcpy(Hvalues1.data(), Dvalues, buffer_size * sizeof(int));
+    Q.memcpy(DvaluesTmp, Hvalues1.data(), buffer_size * sizeof(int));
+
+    Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(Range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (Dvalues[i] == i + 11)
+          if (DvaluesTmp[i] == i + 11)
+            Dvalues[i] += 100;
+      });
+    });
+
+    Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(Range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (Dvalues[i] == i + 111)
+          Dvalues[i] += 1000;
+      });
+    });
+
+    Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(Range, [=](sycl::item<1> itemID) {
+        size_t i = itemID.get_id(0);
+        if (Dvalues[i] == i + 1111)
+          Dvalues[i] += 10000;
+      });
+    });
+
+    Q.memcpy(Hvalues1.data(), Dvalues, buffer_size * sizeof(int));
+    Q.memcpy(HvaluesTmp.data(), DvaluesTmp, buffer_size * sizeof(int));
+    Q.wait();
+
+    ValidationPrint("vector1[]  = ", Hvalues1,
+                    [&](size_t i) { return i + 11111; });
+    ValidationPrint("vector2[]  = ", HvaluesTmp,
+                    [&](size_t i) { return i + 11; });
+
+    for (int i = 0; i < buffer_size; ++i) {
+      int expected = i + 11111;
+      assert(Hvalues1[i] == expected);
+    }
+
+  } catch (sycl::exception &e) {
+    std::cout << "Exception: " << std::string(e.what()) << std::endl;
+  }
+
+  free(Dvalues, Q);
+  free(DvaluesTmp, Q);
+}
+
+int main(int argc, char *argv[]) {
+  sycl::queue Q({sycl::property::queue::in_order{}});
+
+  RunCalculation(Q);
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_interop_memcpy.cpp b/sycl/test-e2e/Plugin/level_zero_interop_memcpy.cpp
new file mode 100644
index 0000000000000..2814d8d1d8b35
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_interop_memcpy.cpp
@@ -0,0 +1,29 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <CL/sycl.hpp>
+#include <level_zero/ze_api.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+
+int main() {
+  using namespace sycl;
+
+  queue Q{gpu_selector_v};
+
+  auto nativeQ = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(Q);
+
+  backend_input_t<backend::ext_oneapi_level_zero, queue> QueueInteropInput = {
+      nativeQ, Q.get_device(), ext::oneapi::level_zero::ownership::keep};
+  queue Q2 = make_queue<backend::ext_oneapi_level_zero>(QueueInteropInput,
+                                                        Q.get_context());
+
+  // Command submission works fine
+  Q2.submit([&](handler &cgh) { cgh.single_task<class K>([]() {}); });
+
+  // Check that copy submission also works
+  int *hostMem = (int *)malloc_host(sizeof(int), Q2);
+  int *devMem = malloc_device<int>(1, Q2);
+  Q2.memcpy(hostMem, devMem, sizeof(int));
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_memory_fill.cpp b/sycl/test-e2e/Plugin/level_zero_memory_fill.cpp
new file mode 100644
index 0000000000000..439c52f76a018
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_memory_fill.cpp
@@ -0,0 +1,25 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env ZE_DEBUG=1 SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_FILL=0 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+// Check that the fill operation is using compute (0 ordinal) engine.
+//
+// CHECK: [getZeQueue]: create queue ordinal = 0
+// CHECKL ZE ---> zeCommandListAppendMemoryFill
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const int N = 1024;
+
+int main() {
+  auto Q = queue(gpu_selector_v);
+  auto p = malloc_device(N, Q);
+  Q.memset(p, 1, N).wait();
+  sycl::free(p, Q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_queue_create.cpp b/sycl/test-e2e/Plugin/level_zero_queue_create.cpp
new file mode 100644
index 0000000000000..2a99c2965b86b
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_queue_create.cpp
@@ -0,0 +1,20 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=0 ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK:  zeCommandQueueCreate = 1     \--->         zeCommandQueueDestroy = 1
+// The test is to check that there is only a single level zero queue created
+// with the embedded ZE_DEBUG=4 testing capability.
+//
+
+#include <sycl/sycl.hpp>
+
+int main(int argc, char **argv) {
+  sycl::queue Q;
+  const unsigned n_chunk = 1000;
+  for (int i = 0; i < n_chunk; i++)
+    Q.single_task([=]() {});
+  Q.wait();
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_queue_priority.cpp b/sycl/test-e2e/Plugin/level_zero_queue_priority.cpp
new file mode 100644
index 0000000000000..c9e1b811862b4
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_queue_priority.cpp
@@ -0,0 +1,42 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZE_DEBUG=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// Check that queue priority is passed to Level Zero runtime
+// This is the last value in the ZE_STRUCTURE_TYPE_COMMAND_QUEUE_DESC
+//
+#include <sycl/sycl.hpp>
+
+void test(sycl::property_list Props) {
+  sycl::queue Q(Props);
+  (void)Q.submit([&](sycl::handler &CGH) {
+    CGH.single_task<class EmptyKernel>([=]() {});
+  });
+  Q.wait();
+}
+
+int main(int Argc, const char *Argv[]) {
+
+  // CHECK: [getZeQueue]: create queue {{.*}} priority = Normal
+  test(sycl::property_list{});
+
+  // CHECK: [getZeQueue]: create queue {{.*}} priority = Normal
+  test({sycl::ext::oneapi::property::queue::priority_normal{}});
+
+  // CHECK: [getZeQueue]: create queue {{.*}} priority = Low
+  test({sycl::ext::oneapi::property::queue::priority_low{}});
+
+  // CHECK: [getZeQueue]: create queue {{.*}} priority = High
+  test({sycl::ext::oneapi::property::queue::priority_high{}});
+
+  // CHECK: Queue cannot be constructed with different priorities.
+  try {
+    test({sycl::ext::oneapi::property::queue::priority_low{},
+          sycl::ext::oneapi::property::queue::priority_high{}});
+  } catch (sycl::exception &E) {
+    std::cerr << E.what() << std::endl;
+  }
+
+  std::cout << "The test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_queue_profiling.cpp b/sycl/test-e2e/Plugin/level_zero_queue_profiling.cpp
new file mode 100644
index 0000000000000..5efac0d3534e6
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_queue_profiling.cpp
@@ -0,0 +1,69 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env ZE_DEBUG=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck --check-prefixes=WITHOUT %s
+// RUN: env ZE_DEBUG=-1 %GPU_RUN_PLACEHOLDER %t.out profile 2>&1 | FileCheck --check-prefixes=WITH %s
+
+// Test case adapted from the SYCL version of Rodinia benchmark hotspot.
+
+// clang-format off
+// Check the expected output when queue::enable_profiling is not specified
+//
+// WITHOUT: ze_event_pool_desc_t flags set to: 1
+// WITHOUT: SYCL exception caught: Profiling information is unavailable as the queue associated with the event does not have the 'enable_profiling' property.
+
+// Check the expected output when queue::enable_profiling is specified
+//
+// WITH: ze_event_pool_desc_t flags set to: 5
+// WITH: Device kernel time:
+// clang-format on
+//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int foo(queue &q, int n) {
+  for (int i = 0; i < n; i++) {
+
+    sycl::event queue_event = q.submit([&](handler &cgh) {
+      cgh.parallel_for<class empty>(range<2>(10000, 10000),
+                                    [=](item<2> item) {});
+    });
+
+    q.wait();
+
+    // Get kernel computation time
+    try {
+      auto startk = queue_event.template get_profiling_info<
+          sycl::info::event_profiling::command_start>();
+      auto endk = queue_event.template get_profiling_info<
+          sycl::info::event_profiling::command_end>();
+      auto kernel_time =
+          (float)(endk - startk) * 1e-9f; // to seconds, 1e-6f to milliseconds
+      printf("Device kernel time: %.12fs\n", (float)kernel_time);
+
+    } catch (const sycl::exception &e) {
+      std::cout << "SYCL exception caught: " << e.what() << '\n';
+      return 0;
+    }
+  }
+  return n;
+}
+
+int main(int argc, char **argv) {
+
+  bool profiling = argc > 1;
+
+  {
+    property_list propList{};
+    if (profiling)
+      propList = sycl::property::queue::enable_profiling();
+
+    queue q(gpu_selector_v, propList);
+    // Perform the computation
+    foo(q, 2);
+  } // SYCL scope
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_sub_sub_device.cpp b/sycl/test-e2e/Plugin/level_zero_sub_sub_device.cpp
new file mode 100644
index 0000000000000..920c932be1d2e
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_sub_sub_device.cpp
@@ -0,0 +1,116 @@
+// REQUIRES:  gpu-intel-pvc, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ZE_DEBUG=1 env ZEX_NUMBER_OF_CCS=0:4  %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env ZEX_NUMBER_OF_CCS=0:4 %GPU_RUN_PLACEHOLDER %t.out
+
+// Check that queues created on sub-sub-devices are going to specific compute
+// engines:
+// CHECK: [getZeQueue]: create queue ordinal = 0, index = 0 (round robin in [0, 0])
+// CHECK: [getZeQueue]: create queue ordinal = 0, index = 1 (round robin in [1, 1])
+// CHECK: [getZeQueue]: create queue ordinal = 0, index = 2 (round robin in [2, 2])
+// CHECK: [getZeQueue]: create queue ordinal = 0, index = 3 (round robin in [3, 3])
+
+#include <chrono>
+#include <cmath>
+#include <iostream>
+#include <math.h>
+#include <sycl/sycl.hpp>
+#include <unistd.h>
+
+using namespace sycl;
+using namespace std::chrono;
+
+#define random_float() (rand() / double(RAND_MAX))
+#define INTER_NUM (150)
+#define KERNEL_NUM (2000)
+
+void make_queue_and_run_workload(std::vector<device> &subsubdevices) {
+  std::cout << "[important] create " << subsubdevices.size()
+            << " sycl queues, one for each sub-sub device" << std::endl;
+
+  auto N = 1024 * 16;
+  size_t global_range = 1024;
+  size_t local_range = 16;
+
+  std::vector<queue> queues;
+  std::vector<float *> host_mem_ptrs;
+  std::vector<float *> device_mem_ptrs;
+
+  // Create queues for each subdevice.
+  for (auto &ccs : subsubdevices) {
+    queue q(ccs,
+            {property::queue::enable_profiling(), property::queue::in_order()});
+    auto *host_mem_ptr = malloc_host<float>(N, q);
+    auto *device_mem_ptr = malloc_device<float>(N, q);
+
+    for (int i = 0; i < N; ++i) {
+      host_mem_ptr[i] = static_cast<float>(random_float());
+    }
+
+    q.memcpy(device_mem_ptr, host_mem_ptr, N * sizeof(float)).wait();
+
+    host_mem_ptrs.push_back(host_mem_ptr);
+    device_mem_ptrs.push_back(device_mem_ptr);
+    queues.push_back(q);
+  }
+
+  // Run workload.
+  for (auto m = 0; m < INTER_NUM; ++m) {
+    for (int k = 0; k < KERNEL_NUM; ++k) {
+      for (int j = 0; j < queues.size(); j++) {
+        queue current_queue = queues[j];
+        float *device_mem_ptr = device_mem_ptrs[j];
+
+        auto event0 = current_queue.parallel_for<>(
+            nd_range<1>(range<1>{global_range}, range<1>{local_range}),
+            [=](nd_item<1> item) {
+              int i = item.get_global_linear_id();
+              device_mem_ptr[i] = device_mem_ptr[i] + float(2.0);
+            });
+      }
+    }
+
+    for (auto q : queues)
+      q.wait();
+  }
+
+  for (int j = 0; j < queues.size(); j++) {
+    sycl::free(device_mem_ptrs[j], queues[j]);
+    sycl::free(host_mem_ptrs[j], queues[j]);
+  }
+
+  std::cout << "[info] Finish running workload" << std::endl;
+}
+
+int main(void) {
+  std::cout << "[info] this case is used to submit workloads to queues on "
+               "subsub device"
+            << std::endl;
+  std::vector<device> subsub;
+
+  device d;
+
+  // watch out device here
+  auto subdevices = d.create_sub_devices<
+      info::partition_property::partition_by_affinity_domain>(
+      info::partition_affinity_domain::next_partitionable);
+  std::cout << "[info] sub device size = " << subdevices.size() << std::endl;
+  for (auto &subdev : subdevices) {
+    auto subsubdevices = subdev.create_sub_devices<
+        info::partition_property::ext_intel_partition_by_cslice>();
+
+    std::cout << "[info] sub-sub device size = " << subsubdevices.size()
+              << std::endl;
+    for (auto &subsubdev : subsubdevices) {
+      subsub.push_back(subsubdev);
+    }
+  }
+
+  std::cout << "[info] all sub-sub devices count: " << subsub.size()
+            << std::endl;
+
+  make_queue_and_run_workload(subsub);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_track_indirect_access_memory.cpp b/sycl/test-e2e/Plugin/level_zero_track_indirect_access_memory.cpp
new file mode 100644
index 0000000000000..0bfaeb134e1af
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_track_indirect_access_memory.cpp
@@ -0,0 +1,125 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %threads_lib %s -o %t.out
+// RUN: env SYCL_PI_LEVEL_ZERO_TRACK_INDIRECT_ACCESS_MEMORY=1 ONEAPI_DEVICE_SELECTOR="level_zero:*" %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK: pass
+//
+// Test checks memory tracking and deferred release functionality which is
+// enabled by SYCL_PI_LEVEL_ZERO_TRACK_INDIRECT_ACCESS_MEMORY env variable.
+// Tracking and deferred release is necessary for memory which can be indirectly
+// accessed because such memory can't be released as soon as someone calls free.
+// It can be released only after completion of all kernels which can possibly
+// access this memory indirectly. Currently the Level Zero plugin marks all
+// kernels with indirect access flag conservatively. This flag means that kernel
+// starts to reference all existing memory allocations (even if not explicitly
+// used in the kernel) as soon as it is submitted. That's why basically all
+// memory allocations need to be tracked. This is crucial in multi-threaded
+// applications because kernels with indirect access flag reference allocations
+// from another threads causing the following error if memory is released too
+// early:
+//
+// ../neo/opencl/source/os_interface/linux/drm_command_stream.inl
+// Aborted (core dumped)
+//
+// Such multi-threaded scenario is checked in this test. Test is expected to
+// pass when memory tracking is enabled and fail otherwise.
+
+#include <cassert>
+#include <iostream>
+#include <thread>
+
+#define LENGTH 10
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+void update_d2_data(queue &q) {
+  int d2_data[LENGTH][LENGTH];
+
+  try {
+    size_t d_size = LENGTH;
+    buffer<int, 2> b_d2_data((int *)d2_data, range<2>(d_size, d_size));
+
+    q.submit([&](handler &cgh) {
+      accessor acc{b_d2_data, cgh};
+
+      cgh.parallel_for<class write_d2_data>(
+          range<2>{d_size, d_size},
+          [=](id<2> idx) { acc[idx] = idx[0] * idx[1]; });
+    });
+    q.wait_and_throw();
+  } catch (exception &e) {
+    std::cerr << std::string(e.what());
+  }
+
+  for (size_t i = 0; i < LENGTH; i++) {
+    for (size_t j = 0; j < LENGTH; j++) {
+      assert(d2_data[i][j] == i * j);
+    }
+  }
+}
+void update_d3_data(queue &q) {
+  int d3_data[LENGTH][LENGTH][LENGTH];
+
+  try {
+    size_t d_size = LENGTH;
+    buffer<int, 3> b_d3_data((int *)d3_data, range<3>(d_size, d_size, d_size));
+
+    q.submit([&](handler &cgh) {
+      accessor acc{b_d3_data, cgh};
+
+      cgh.parallel_for<class write_d3_data>(
+          range<3>{d_size, d_size, d_size},
+          [=](id<3> idx) { acc[idx] = idx[0] * idx[1] * idx[2]; });
+    });
+    q.wait_and_throw();
+  } catch (exception &e) {
+    std::cerr << std::string(e.what());
+  }
+
+  for (size_t i = 0; i < LENGTH; i++) {
+    for (size_t j = 0; j < LENGTH; j++) {
+      for (size_t k = 0; k < LENGTH; k++) {
+        assert(d3_data[i][j][k] == i * j * k);
+      }
+    }
+  }
+}
+
+int main() {
+  static const size_t n = 8;
+  std::thread d2_threads[n];
+  std::thread d3_threads[n];
+
+  auto thread_body = [&](int type) {
+    queue q;
+    switch (type) {
+    case 1:
+      update_d2_data(q);
+      break;
+    case 2:
+      update_d3_data(q);
+      break;
+    }
+  };
+
+  for (size_t i = 0; i < n; ++i) {
+    d2_threads[i] = std::thread(thread_body, 1);
+    d3_threads[i] = std::thread(thread_body, 2);
+  }
+
+  for (size_t i = 0; i < n; ++i) {
+    d2_threads[i].join();
+    d3_threads[i].join();
+  }
+
+  {
+    queue q;
+
+    update_d2_data(q);
+    update_d3_data(q);
+  }
+
+  std::cout << "pass" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_usm_device_read_only.cpp b/sycl/test-e2e/Plugin/level_zero_usm_device_read_only.cpp
new file mode 100644
index 0000000000000..e0b7301bc8d16
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_usm_device_read_only.cpp
@@ -0,0 +1,29 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+// Test that "device_read_only" shared USM allocations are pooled.
+
+#include <sycl/sycl.hpp>
+
+using namespace std;
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+  queue Q;
+
+  auto ptr1 =
+      malloc_shared<int>(1, Q, ext::oneapi::property::usm::device_read_only());
+  // CHECK: ---> piextUSMSharedAlloc
+  // CHECK: ZE ---> zeMemAllocShared
+
+  auto ptr2 = aligned_alloc_shared<int>(
+      1, 1, Q, ext::oneapi::property::usm::device_read_only());
+  // CHECK: ---> piextUSMSharedAlloc
+  // CHECK-NOT: ZE ---> zeMemAllocShared
+
+  free(ptr1, Q);
+  free(ptr2, Q);
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/level_zero_uuid.cpp b/sycl/test-e2e/Plugin/level_zero_uuid.cpp
new file mode 100644
index 0000000000000..90fa7a5b9b1a0
--- /dev/null
+++ b/sycl/test-e2e/Plugin/level_zero_uuid.cpp
@@ -0,0 +1,41 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+// Test that the UUID is read correctly from Level Zero.
+
+// CHECK: PASSED
+#include <CL/sycl.hpp>
+#include <iomanip>
+#include <iostream>
+#include <level_zero/ze_api.h>
+#include <sstream>
+
+int main() {
+  sycl::device dev;
+  if (dev.has(sycl::aspect::ext_intel_device_info_uuid)) {
+    auto uuid = dev.get_info<sycl::ext::intel::info::device::uuid>();
+    std::stringstream uuid_sycl;
+    for (int i = 0; i < uuid.size(); ++i)
+      uuid_sycl << std::hex << std::setw(2) << std::setfill('0')
+                << int(uuid[i]);
+    std::cout << "SYCL: " << uuid_sycl.str() << std::endl;
+
+    auto zedev = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(dev);
+    ze_device_properties_t device_properties{};
+    zeDeviceGetProperties(zedev, &device_properties);
+    std::stringstream uuid_l0;
+    for (int i = 0; i < ZE_MAX_DEVICE_UUID_SIZE; ++i)
+      uuid_l0 << std::hex << std::setw(2) << std::setfill('0')
+              << int(device_properties.uuid.id[i]);
+    std::cout << "L0  : " << uuid_l0.str() << std::endl;
+
+    if (uuid_sycl.str() != uuid_l0.str()) {
+      std::cout << "FAILED" << std::endl;
+      return -1;
+    }
+    std::cout << "PASSED" << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/max_malloc.cpp b/sycl/test-e2e/Plugin/max_malloc.cpp
new file mode 100644
index 0000000000000..8bcdc9022fa4b
--- /dev/null
+++ b/sycl/test-e2e/Plugin/max_malloc.cpp
@@ -0,0 +1,46 @@
+// REQUIRES: gpu, level_zero, level_zero_dev_kit
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env SYCL_PROGRAM_COMPILE_OPTIONS=-ze-intel-greater-than-4GB-buffer-required %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO: Temporarily disabled on Linux due to failures.
+// UNSUPPORTED: linux
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const double Gb = 1024 * 1024 * 1024;
+
+int main() {
+  auto D = device(gpu_selector_v);
+
+  std::cout << "name = " << D.get_info<info::device::name>() << std::endl;
+
+  auto global_mem_size = D.get_info<info::device::global_mem_size>() / Gb;
+  std::cout << "global_mem_size = " << global_mem_size << std::endl;
+  std::cout << "max_mem_alloc_size = "
+            << D.get_info<info::device::max_mem_alloc_size>() / Gb << std::endl;
+
+  auto Q = queue(D);
+  for (int I = 1; I < global_mem_size; I++) {
+    void *p;
+    p = malloc_device(I * Gb, Q);
+    std::cout << "malloc_device(" << I << "Gb) = " << p << std::endl;
+    if (p == nullptr) {
+      std::cout << "FAILED" << std::endl;
+      return -1;
+    }
+    sycl::free(p, Q);
+
+    p = malloc_shared(I * Gb, Q);
+    std::cout << "malloc_shared(" << I << "Gb) = " << p << std::endl;
+    if (p == nullptr) {
+      std::cout << "FAILED" << std::endl;
+      return -1;
+    }
+    sycl::free(p, Q);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/pi-teardown.cpp b/sycl/test-e2e/Plugin/pi-teardown.cpp
new file mode 100644
index 0000000000000..c4ea7e3cff31e
--- /dev/null
+++ b/sycl/test-e2e/Plugin/pi-teardown.cpp
@@ -0,0 +1,4 @@
+// ensure that piTearDown is called
+
+// RUN: env SYCL_PI_TRACE=2 sycl-ls | FileCheck %s
+// CHECK: ---> piTearDown
diff --git a/sycl/test-e2e/Plugin/retain_events.cpp b/sycl/test-e2e/Plugin/retain_events.cpp
new file mode 100644
index 0000000000000..da1b1f25b3840
--- /dev/null
+++ b/sycl/test-e2e/Plugin/retain_events.cpp
@@ -0,0 +1,80 @@
+// REQUIRES: gpu
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <algorithm>
+#include <cstdio>
+#include <numeric>
+#include <sycl/sycl.hpp>
+
+namespace {
+
+void print_device_properties(sycl::device const &dev) {
+  auto plat_name =
+      dev.get_platform().template get_info<sycl::info::platform::name>();
+  auto dev_name = dev.template get_info<sycl::info::device::name>();
+  auto driver_version =
+      dev.template get_info<sycl::info::device::driver_version>();
+
+  fprintf(stdout, " platform name: %s\n", plat_name.c_str());
+  fprintf(stdout, "   device name: %s\n", dev_name.c_str());
+  fprintf(stdout, "driver version: %s\n", driver_version.c_str());
+}
+
+void async_sycl_error(sycl::exception_list el) {
+  fprintf(stderr, "async exceptions caught:\n");
+  for (auto l = el.begin(); l != el.end(); ++l) {
+    try {
+      std::rethrow_exception(*l);
+    } catch (const sycl::exception &e) {
+      fprintf(stderr, "what: %s code: %d\n", e.what(), e.get_cl_code());
+      std::exit(-1);
+    }
+  }
+}
+
+} // namespace
+
+int test(sycl::device &D) {
+  sycl::context C(D);
+  constexpr size_t N = 1024 * 1000;
+
+  int *src = sycl::malloc_shared<int>(N, D, C);
+  int *dst = sycl::malloc_shared<int>(N, D, C);
+
+  std::iota(src, src + N, 0);
+  std::fill(dst, dst + N, 0);
+
+  for (int i = 0; i < 256; ++i) {
+    sycl::queue Q{
+        C, D,
+        async_sycl_error}; //, sycl::property::queue::enable_profiling() };
+
+    Q.submit([&](sycl::handler &SH) {
+      sycl::range<1> r(N);
+      SH.parallel_for<class X>(r, [=](sycl::id<1> id) {
+        size_t i = id.get(0);
+        dst[i] = src[i] + 1;
+      });
+    });
+  }
+
+  sycl::free(dst, C);
+  sycl::free(src, C);
+
+  return 0;
+}
+
+int main() {
+  try {
+    sycl::device D1{sycl::gpu_selector_v};
+    print_device_properties(D1);
+    for (int i = 0; i < 10; ++i) {
+      test(D1);
+    }
+  } catch (sycl::exception &e) {
+    fprintf(stderr, "...sycl failed to entertain with \"%s\" (%d) \n", e.what(),
+            e.get_cl_code());
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-cuda.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-cuda.cpp
new file mode 100644
index 0000000000000..2d1ff0ac92ad1
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-cuda.cpp
@@ -0,0 +1,15 @@
+// REQUIRES: gpu, cuda
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="cuda:*" sycl-ls --verbose >%t.cuda.out
+// RUN: FileCheck %s --check-prefixes=CHECK-BUILTIN-GPU-CUDA,CHECK-CUSTOM-GPU-CUDA --input-file %t.cuda.out
+
+// CHECK-BUILTIN-GPU-CUDA: gpu_selector(){{.*}}gpu, {{.*}}CUDA
+// CHECK-CUSTOM-GPU-CUDA: custom_selector(gpu){{.*}}gpu, {{.*}}CUDA
+
+//==---- sycl-ls-gpu-cuda.cpp - SYCL test for discovered/selected devices --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-default-any.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-default-any.cpp
new file mode 100644
index 0000000000000..65324e6208041
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-default-any.cpp
@@ -0,0 +1,26 @@
+// REQUIRES: gpu
+
+// TODO: Remove unsetting SYCL_DEVICE_FILTER when feature is dropped
+// RUN: env --unset=SYCL_DEVICE_FILTER  --unset=ONEAPI_DEVICE_SELECTOR sycl-ls --verbose >%t.default.out
+// RUN: FileCheck %s --check-prefixes=CHECK-GPU-BUILTIN,CHECK-GPU-CUSTOM --input-file %t.default.out
+
+// CHECK-GPU-BUILTIN: gpu_selector(){{.*}}gpu, {{.*}}Level-Zero
+// clang-format off
+// CHECK-GPU-CUSTOM: custom_selector(gpu){{.*}}gpu, {{.*}}Level-Zero
+// clang-format on
+
+//==--------------------- sycl-ls-gpu-default-any.cpp ----------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This test checks that a valid GPU is returned by sycl-ls by default if one
+// is present.
+// The test crashed on CUDA CI machines with the latest OpenCL GPU RT
+// (21.19.19792).
+// UNSUPPORTED: cuda || hip
+// Temporarily disable on L0 due to fails in CI
+// UNSUPPORTED: level_zero
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-default-level-zero.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-default-level-zero.cpp
new file mode 100644
index 0000000000000..6f144553fff7b
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-default-level-zero.cpp
@@ -0,0 +1,19 @@
+// REQUIRES: gpu, level-zero
+
+// TODO: Remove unsetting SYCL_DEVICE_FILTER when feature is dropped
+// RUN: env --unset=SYCL_DEVICE_FILTER --unset=ONEAPI_DEVICE_SELECTOR sycl-ls --verbose >%t.default.out
+// RUN: FileCheck %s --check-prefixes=CHECK-GPU-BUILTIN,CHECK-GPU-CUSTOM --input-file %t.default.out
+
+// CHECK-GPU-BUILTIN: gpu_selector(){{.*}}gpu, {{.*}}Level-Zero
+// CHECK-GPU-CUSTOM: custom_selector(gpu){{.*}}gpu, {{.*}}Level-Zero
+
+//==------------------ sycl-ls-gpu-default-level-zero.cpp ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This test checks that, if available, a Level-Zero GPU will be selected by
+// the default GPU selector.
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-hip.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-hip.cpp
new file mode 100644
index 0000000000000..67c9cd2eb365e
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-hip.cpp
@@ -0,0 +1,15 @@
+// REQUIRES: gpu, hip, sycl-ls
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="hip:*" sycl-ls --verbose >%t.hip.out
+// RUN: FileCheck %s --check-prefixes=CHECK-BUILTIN-GPU-HIP,CHECK-CUSTOM-GPU-HIP --input-file %t.hip.out
+
+// CHECK-BUILTIN-GPU-HIP: gpu_selector(){{.*}}gpu, {{.*}}HIP
+// CHECK-CUSTOM-GPU-HIP: custom_selector(gpu){{.*}}gpu, {{.*}}HIP
+
+//==---- sycl-ls-gpu-hip.cpp - SYCL test for discovered/selected devices --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-level-zero.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-level-zero.cpp
new file mode 100644
index 0000000000000..48b06d8b7c431
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-level-zero.cpp
@@ -0,0 +1,17 @@
+// REQUIRES: gpu, level_zero
+
+// RUN: sycl-ls --verbose >%t.default.out
+// RUN: FileCheck %s --check-prefixes=CHECK-GPU-BUILTIN,CHECK-GPU-CUSTOM --input-file %t.default.out
+
+// CHECK-GPU-BUILTIN: gpu_selector(){{.*}}gpu, {{.*}}Level-Zero
+// CHECK-GPU-CUSTOM: custom_selector(gpu){{.*}}gpu, {{.*}}Level-Zero
+
+//==-- sycl-ls-gpu-level-zero.cpp - Test Level-Zero selected gpu device ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Temporarily disable on L0 due to fails in CI
+// UNSUPPORTED: level_zero
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-opencl.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-opencl.cpp
new file mode 100644
index 0000000000000..fa764d0629a0f
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-opencl.cpp
@@ -0,0 +1,15 @@
+// REQUIRES: gpu, opencl
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" sycl-ls --verbose >%t.opencl.out
+// RUN: FileCheck %s --check-prefixes=CHECK-GPU-BUILTIN,CHECK-GPU-CUSTOM --input-file %t.opencl.out
+
+// CHECK-GPU-BUILTIN: gpu_selector(){{.*}}gpu, {{.*}}OpenCL
+// CHECK-GPU-CUSTOM: custom_selector(gpu){{.*}}gpu, {{.*}}OpenCL
+
+//==-- sycl-ls-gpu-opencl.cpp - SYCL test for selected OpenCL GPU device --===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
diff --git a/sycl/test-e2e/Plugin/sycl-ls-gpu-sycl-be.cpp b/sycl/test-e2e/Plugin/sycl-ls-gpu-sycl-be.cpp
new file mode 100644
index 0000000000000..81e5b3694c5b7
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-gpu-sycl-be.cpp
@@ -0,0 +1,31 @@
+// REQUIRES: gpu, cuda, hip, opencl, sycl-ls
+
+// RUN: sycl-ls --verbose >%t.default.out
+// RUN: FileCheck %s --check-prefixes=CHECK-BUILTIN-GPU-OPENCL,CHECK-CUSTOM-GPU-OPENCL --input-file %t.default.out
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" sycl-ls --verbose >%t.opencl.out
+// RUN: FileCheck %s --check-prefixes=CHECK-BUILTIN-GPU-OPENCL,CHECK-CUSTOM-GPU-OPENCL --input-file %t.opencl.out
+
+// CHECK-BUILTIN-GPU-OPENCL: gpu_selector(){{.*}}gpu, {{.*}}OpenCL
+// CHECK-CUSTOM-GPU-OPENCL: custom_selector(gpu){{.*}}gpu, {{.*}}OpenCL
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="cuda:*" sycl-ls --verbose >%t.cuda.out
+// RUN: FileCheck %s --check-prefixes=CHECK-BUILTIN-GPU-CUDA,CHECK-CUSTOM-GPU-CUDA --input-file %t.cuda.out
+
+// CHECK-BUILTIN-GPU-CUDA: gpu_selector(){{.*}}gpu, {{.*}}CUDA
+// CHECK-CUSTOM-GPU-CUDA: custom_selector(gpu){{.*}}gpu, {{.*}}CUDA
+
+// RUN: env ONEAPI_DEVICE_SELECTOR="hip:*" sycl-ls --verbose >%t.hip.out
+// RUN: FileCheck %s --check-prefixes=CHECK-BUILTIN-GPU-HIP,CHECK-CUSTOM-GPU-HIP --input-file %t.hip.out
+
+// CHECK-BUILTIN-GPU-HIP: gpu_selector(){{.*}}gpu, {{.*}}HIP
+// CHECK-CUSTOM-GPU-HIP: custom_selector(gpu){{.*}}gpu, {{.*}}HIP
+
+//==---- sycl-ls-gpu-sycl-be.cpp - SYCL test for discovered/selected devices
+//--==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
diff --git a/sycl/test-e2e/Plugin/sycl-ls-unified-runtime.cpp b/sycl/test-e2e/Plugin/sycl-ls-unified-runtime.cpp
new file mode 100644
index 0000000000000..7f768e11707be
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls-unified-runtime.cpp
@@ -0,0 +1,17 @@
+// REQUIRES: TEMPORARY_DISABLED
+//  Unified Runtime will soon be changing its reporting.
+//
+// RUN: env ONEAPI_DEVICE_SELECTOR="ext_oneapi_unified_runtime:*" sycl-ls --verbose 2>&1 %GPU_CHECK_PLACEHOLDER
+
+// CHECK: 	Platforms: 1
+// CHECK-NEXT:	Platform [#1]:
+// CHECK-NEXT:      Version  : 1.3
+// CHECK-NEXT:      Name     : Intel(R) oneAPI Unified Runtime over Level-Zero
+
+//==-- sycl-ls-unified-runtime.cpp ----- Test Unified Runtime platform  ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
diff --git a/sycl/test-e2e/Plugin/sycl-ls.cpp b/sycl/test-e2e/Plugin/sycl-ls.cpp
new file mode 100644
index 0000000000000..1632d7f1e5cd9
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-ls.cpp
@@ -0,0 +1,16 @@
+// RUN: sycl-ls --verbose | grep "Device \[" | wc -l >%t.verbose.out
+// RUN: sycl-ls | wc -l >%t.concise.out
+// RUN: diff %t.verbose.out %t.concise.out
+
+//==---- sycl-ls.cpp - SYCL test for consistency of sycl-ls output ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// The test crashed on CUDA CI machines with the latest OpenCL GPU RT
+// (21.19.19792).
+// UNSUPPORTED: cuda
+// Temporarily disable on L0 due to fails in CI
+// UNSUPPORTED: level_zero
diff --git a/sycl/test-e2e/Plugin/sycl-partition-info.cpp b/sycl/test-e2e/Plugin/sycl-partition-info.cpp
new file mode 100644
index 0000000000000..b20210fabe18d
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-partition-info.cpp
@@ -0,0 +1,32 @@
+// RUN:  %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// various plugins may return a larger choice of partition properties than SYCL
+// supports ensure we are only returning SYCL standard  partition properties.
+
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(void) {
+  device d;
+
+  auto pp = d.get_info<info::device::partition_properties>();
+
+  for (auto &p : pp) {
+    switch (p) {
+    case info::partition_property::no_partition:
+    case info::partition_property::partition_equally:
+    case info::partition_property::partition_by_counts:
+    case info::partition_property::partition_by_affinity_domain:
+      break;
+    default:
+      assert(false && "Unrecognized partition property");
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Plugin/sycl-targets-order.cpp b/sycl/test-e2e/Plugin/sycl-targets-order.cpp
new file mode 100644
index 0000000000000..898a958d05870
--- /dev/null
+++ b/sycl/test-e2e/Plugin/sycl-targets-order.cpp
@@ -0,0 +1,71 @@
+// RUN: %clangxx -fsycl -fsycl-targets=spir64,nvptx64-nvidia-cuda %s -o %t-spir64-nvptx64.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %t-spir64-nvptx64.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="cuda:*"   %t-spir64-nvptx64.out
+// RUN: %clangxx -fsycl -fsycl-targets=nvptx64-nvidia-cuda,spir64 %s -o %t-nvptx64-spir64.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="opencl:*" %t-nvptx64-spir64.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="cuda:*"   %t-nvptx64-spir64.out
+
+// REQUIRES: opencl, cuda
+
+//==------- sycl-targets-order.cpp - SYCL -fsycl-targets order test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main(int argc, char **argv) {
+
+  // select the default SYCL device
+  sycl::device device{sycl::default_selector_v};
+  std::cout << "Running on SYCL device "
+            << device.get_info<sycl::info::device::name>()
+            << ", driver version "
+            << device.get_info<sycl::info::device::driver_version>()
+            << std::endl;
+
+  // create a queue
+  sycl::queue queue{device};
+
+  // create a buffer of 4 ints to be used inside the kernel code
+  sycl::buffer<unsigned int, 1> buffer(4);
+
+  // size of the index space for the kernel
+  sycl::range<1> NumOfWorkItems{buffer.get_count()};
+
+  // submit a command group(work) to the queue
+  queue.submit([&](sycl::handler &cgh) {
+    // get write only access to the buffer on a device
+    auto accessor = buffer.get_access<sycl::access::mode::write>(cgh);
+    // executing the kernel
+    cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+      // fill the buffer with indexes
+      accessor[WIid] = WIid.get(0);
+    });
+  });
+
+  // get read-only access to the buffer on the host
+  // introduce an implicit barrier waiting for queue to complete the work
+  const auto host_accessor = buffer.get_access<sycl::access::mode::read>();
+
+  // check the results
+  bool mismatch = false;
+  for (unsigned int i = 0; i < buffer.get_count(); ++i) {
+    if (host_accessor[i] != i) {
+      std::cout << "The result is incorrect for element: " << i
+                << " , expected: " << i << " , got: " << host_accessor[i]
+                << std::endl;
+      mismatch = true;
+    }
+  }
+
+  if (not mismatch) {
+    std::cout << "The results are correct!" << std::endl;
+  }
+
+  return mismatch;
+}
diff --git a/sycl/test-e2e/Printf/char.cpp b/sycl/test-e2e/Printf/char.cpp
new file mode 100644
index 0000000000000..6c199c355e71d
--- /dev/null
+++ b/sycl/test-e2e/Printf/char.cpp
@@ -0,0 +1,81 @@
+// This test is written with an aim to check that experimental::printf behaves
+// in the same way as printf from C99/C11
+//
+// The test is written using conversion specifiers table from cppreference [1]
+// [1]: https://en.cppreference.com/w/cpp/io/c/fprintf
+//
+// UNSUPPORTED: hip_amd
+// XFAIL: cuda && windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated constant address space testing once generic AS
+//        support is considered stable.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.constant.out \
+// RUN: -DTEST_CONSTANT_AS
+// RUN: %CPU_RUN_PLACEHOLDER %t.constant.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.constant.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.constant.out %ACC_CHECK_PLACEHOLDER
+//
+// FIXME: wchar_t* is not supported on GPU
+// FIXME: String literal prefixes (L, u8, u, U) are not functioning on Windows
+//
+// CHECK: c=a
+// CHECK: literal strings: s=Hello World!
+// CHECK_DISABLED: non-literal strings: s=Hello, World! ls=
+
+#include <sycl/sycl.hpp>
+
+#include <cstring>
+
+#include "helper.hpp"
+
+using namespace sycl;
+
+void do_char_string_test() {
+  {
+    // %c format specifier, single character
+    FORMAT_STRING(fmt) = "c=%c\n"; // FIXME: lc is not tested
+
+    char c = 'a';
+
+    ext::oneapi::experimental::printf(fmt, c);
+  }
+
+  {
+    // %s format specifier, character string
+    FORMAT_STRING(fmt1) = "literal strings: s=%s %s\n";
+    ext::oneapi::experimental::printf(fmt1, "Hello",
+                                      // World!
+                                      "\x57\x6F\x72\x6C\x64\x21");
+
+    // FIXME: lack of support for non-literal strings in %s is an OpenCL
+    // limitation
+    /*
+    FORMAT_STRING(fmt2) = "non-literal strings: s=%s ls=%ls\n";
+    char str[20] = { '\0' };
+    const char *s = "Hello, World!";
+    for (int i = 0; i < 13; ++i) {
+      str[i] = s[i];
+    }
+
+    // FIXME: ls is untested here
+    ext::oneapi::experimental::printf(fmt2, str, "");
+    */
+  }
+}
+
+class CharTest;
+
+int main() {
+  queue q;
+
+  q.submit([](handler &cgh) {
+    cgh.single_task<CharTest>([]() { do_char_string_test(); });
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Printf/double.cpp b/sycl/test-e2e/Printf/double.cpp
new file mode 100644
index 0000000000000..2bdffac9d30f0
--- /dev/null
+++ b/sycl/test-e2e/Printf/double.cpp
@@ -0,0 +1,87 @@
+// This test is written with an aim to check that experimental::printf behaves
+// in the same way as printf from C99/C11
+//
+// The test is written using conversion specifiers table from cppreference [1]
+// [1]: https://en.cppreference.com/w/cpp/io/c/fprintf
+//
+// Temporarily disable test on Windows due to regressions in GPU driver.
+// UNSUPPORTED: hip_amd, windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated constant address space testing once generic AS
+//        support is considered stable.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.constant.out \
+// RUN: -DTEST_CONSTANT_AS
+// RUN: %CPU_RUN_PLACEHOLDER %t.constant.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.constant.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.constant.out %ACC_CHECK_PLACEHOLDER
+//
+// CHECK: double -6.813800e+00, -6.813800E+00
+// CHECK: mixed 3.140000e+00, -6.813800E+00
+// CHECK: double -0x1.b4154d8cccccdp+2, -0X1.B4154D8CCCCCDP+2
+// CHECK: mixed 0x1.91eb86{{0*}}p+1, -0X1.B4154D8CCCCCDP+2
+// CHECK: double -6.8138, -6.8138
+// CHECK: mixed 3.14, -6.8138
+
+#include <iostream>
+
+#include <sycl/sycl.hpp>
+
+#include "helper.hpp"
+
+using namespace sycl;
+
+void do_double_test() {
+  float f = 3.14;
+  double d = -f * 2.17;
+
+  {
+    // %e, %E floating-point, decimal exponent notation
+    FORMAT_STRING(fmt_double) = "double %e, %E\n";
+    FORMAT_STRING(fmt_mixed) = "mixed %e, %E\n";
+    ext::oneapi::experimental::printf(fmt_double, d, d);
+    ext::oneapi::experimental::printf(fmt_mixed, f, d);
+  }
+
+  {
+    // %a, %A floating-point, hexadecimal exponent notation
+    FORMAT_STRING(fmt_double) = "double %a, %A\n";
+    FORMAT_STRING(fmt_mixed) = "mixed %a, %A\n";
+    ext::oneapi::experimental::printf(fmt_double, d, d);
+    ext::oneapi::experimental::printf(fmt_mixed, f, d);
+  }
+
+  {
+    // %g, %G floating-point
+    FORMAT_STRING(fmt_double) = "double %g, %G\n";
+    FORMAT_STRING(fmt_mixed) = "mixed %g, %G\n";
+    ext::oneapi::experimental::printf(fmt_double, d, d);
+    ext::oneapi::experimental::printf(fmt_mixed, f, d);
+  }
+}
+
+class DoubleTest;
+
+int main() {
+  queue q;
+
+  if (q.get_device().has(aspect::fp64)) {
+    q.submit([](handler &cgh) {
+      cgh.single_task<DoubleTest>([]() { do_double_test(); });
+    });
+    q.wait();
+  } else
+    std::cout << "Skipping the actual test. "
+                 "Printing hard-coded output from the host side:\n"
+              << "double -6.813800e+00, -6.813800E+00\n"
+                 "mixed 3.140000e+00, -6.813800E+00\n"
+                 "double -0x1.b4154d8cccccdp+2, -0X1.B4154D8CCCCCDP+2\n"
+                 "mixed 0x1.91eb86p+1, -0X1.B4154D8CCCCCDP+2\n"
+                 "double -6.8138, -6.8138\n"
+                 "mixed 3.14, -6.8138"
+              << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Printf/float.cpp b/sycl/test-e2e/Printf/float.cpp
new file mode 100644
index 0000000000000..457a670b3038f
--- /dev/null
+++ b/sycl/test-e2e/Printf/float.cpp
@@ -0,0 +1,75 @@
+// This test is written with an aim to check that experimental::printf behaves
+// in the same way as printf from C99/C11
+//
+// The test is written using conversion specifiers table from cppreference [1]
+// [1]: https://en.cppreference.com/w/cpp/io/c/fprintf
+//
+// UNSUPPORTED: hip_amd
+// XFAIL: cuda && windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated non-variadic printf testing once the headers
+//        enforce it by default.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.nonvar.out \
+// RUN: -D__SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+// RUN: %CPU_RUN_PLACEHOLDER %t.nonvar.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.nonvar.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.nonvar.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated constant address space testing once generic AS
+//        support is considered stable.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.constant.out \
+// RUN: -DTEST_CONSTANT_AS
+// RUN: %CPU_RUN_PLACEHOLDER %t.constant.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.constant.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.constant.out %ACC_CHECK_PLACEHOLDER
+//
+// CHECK: 3.140000e+00, 3.140000E+00
+// CHECK: 0x1.91eb86{{0*}}p+1, 0X1.91EB86{{0*}}P+1
+// CHECK: 3.14, 3.14
+
+#include <iostream>
+
+#include <sycl/sycl.hpp>
+
+#include "helper.hpp"
+
+using namespace sycl;
+
+void do_float_test() {
+  float f = 3.14;
+  // %e, %E floating-point, decimal exponent notation
+  FORMAT_STRING(fmt1) = "float %e, %E\n";
+  ext::oneapi::experimental::printf(fmt1, f, f);
+  // %a, %A floating-point, hexadecimal exponent notation
+  FORMAT_STRING(fmt2) = "float %a, %A\n";
+  ext::oneapi::experimental::printf(fmt2, f, f);
+  // %g, %G floating-point
+  FORMAT_STRING(fmt3) = "float %g, %G\n";
+  ext::oneapi::experimental::printf(fmt3, f, f);
+}
+
+class FloatTest;
+
+int main() {
+  queue q;
+
+#ifndef __SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  if (!q.get_device().has(aspect::fp64)) {
+    std::cout << "Skipping the actual test due to variadic argument promotion. "
+                 "Printing hard-coded output from the host side:\n"
+              << "3.140000e+00, 3.140000E+00\n"
+                 "0x1.91eb86p+1, 0X1.91EB86P+1\n"
+                 "3.14, 3.14"
+              << std::endl;
+    return 0;
+  }
+#endif // !__SYCL_USE_NON_VARIADIC_SPIRV_OCL_PRINTF__
+  q.submit([](handler &cgh) {
+    cgh.single_task<FloatTest>([]() { do_float_test(); });
+  });
+  q.wait();
+  return 0;
+}
diff --git a/sycl/test-e2e/Printf/helper.hpp b/sycl/test-e2e/Printf/helper.hpp
new file mode 100644
index 0000000000000..6cee95043ca75
--- /dev/null
+++ b/sycl/test-e2e/Printf/helper.hpp
@@ -0,0 +1,8 @@
+#if defined(__SYCL_DEVICE_ONLY__) && defined(TEST_CONSTANT_AS)
+// On device side, we have to put format string into a constant address space
+// FIXME: remove this header completely once the toolchain's support for
+// generic address-spaced format strings is stable.
+#define FORMAT_STRING(X) static const __attribute__((opencl_constant)) char X[]
+#else
+#define FORMAT_STRING(X) static const char X[]
+#endif
diff --git a/sycl/test-e2e/Printf/int.cpp b/sycl/test-e2e/Printf/int.cpp
new file mode 100644
index 0000000000000..d8f69db023ef3
--- /dev/null
+++ b/sycl/test-e2e/Printf/int.cpp
@@ -0,0 +1,242 @@
+// This test is written with an aim to check that experimental::printf behaves
+// in the same way as printf from C99/C11
+//
+// The test is written using conversion specifiers table from cppreference [1]
+// [1]: https://en.cppreference.com/w/cpp/io/c/fprintf
+//
+// UNSUPPORTED: hip_amd
+// FIXME: The 'short' type gets overflown with sporadic values on CUDA.
+// XFAIL: cuda
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated constant address space testing once generic AS
+//        support is considered stable.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.constant.out \
+// RUN: -DTEST_CONSTANT_AS
+// RUN: %CPU_RUN_PLACEHOLDER %t.constant.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.constant.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.constant.out %ACC_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+#include "helper.hpp"
+
+using namespace sycl;
+
+void do_d_i_test() { // %d, %i signed integer, decimal representation
+  // Some reference values
+  constexpr char CHAR_VALUE = 0x7B;     // 123
+  constexpr short SHORT_VALUE = 0x3039; // 12345
+  constexpr int INT_VALUE = 0x499602D3; // 1234567891
+  constexpr long long LONG_LONG_VALUE =
+      0x112210F4B2D230A2; // 1234567891011121314
+
+  signed char hhd = CHAR_VALUE;
+  short hd = SHORT_VALUE;
+  int d = INT_VALUE;
+  intmax_t jd = LONG_LONG_VALUE;
+  size_t zd = LONG_LONG_VALUE;
+  ptrdiff_t td = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Decimal positive values:\n"
+                        "\tsigned char: %hhd\n"
+                        "\tshort: %hd\n"
+                        "\tint: %d\n"
+                        "\tintmax_t: %jd\n"
+                        "\tsigned size_t: %zd\n"
+                        "\tptrdiff_t: %td\n";
+  ext::oneapi::experimental::printf(fmt1, hhd, hd, d, jd, zd, td);
+  // CHECK: Decimal positive values:
+  // CHECK-NEXT: signed char: 123
+  // CHECK-NEXT: short: 12345
+  // CHECK-NEXT: int: 1234567891
+  // CHECK-NEXT: intmax_t: 1234567891011121314
+  // CHECK-NEXT: signed size_t: 1234567891011121314
+  // CHECK-NEXT: ptrdiff_t: 1234567891011121314
+
+  FORMAT_STRING(fmt2) = "Integer positive values:\n"
+                        "\tsigned char: %hhi\n"
+                        "\tshort: %hi\n"
+                        "\tint: %i\n"
+                        "\tintmax_t: %ji\n"
+                        "\tsigned size_t: %zi\n"
+                        "\tptrdiff_t: %ti\n";
+  ext::oneapi::experimental::printf(fmt2, hhd, hd, d, jd, zd, td);
+  // CHECK: Integer positive values:
+  // CHECK-NEXT: signed char: 123
+  // CHECK-NEXT: short: 12345
+  // CHECK-NEXT: int: 1234567891
+  // CHECK-NEXT: intmax_t: 1234567891011121314
+  // CHECK-NEXT: signed size_t: 1234567891011121314
+  // CHECK-NEXT: ptrdiff_t: 1234567891011121314
+
+  hhd = -hhd;
+  hd = -hd;
+  d = -d;
+  jd = -jd;
+  zd = -zd;
+  td = -td;
+
+  FORMAT_STRING(fmt3) = "Decimal negative values:\n"
+                        "\tsigned char: %hhd\n"
+                        "\tshort: %hd\n"
+                        "\tint: %d\n"
+                        "\tintmax_t: %jd\n"
+                        "\tsigned size_t: %zd\n"
+                        "\tptrdiff_t: %td\n";
+  ext::oneapi::experimental::printf(fmt3, hhd, hd, d, jd, zd, td);
+  // CHECK: Decimal negative values:
+  // CHECK-NEXT: signed char: -123
+  // CHECK-NEXT: short: -12345
+  // CHECK-NEXT: int: -1234567891
+  // CHECK-NEXT: intmax_t: -1234567891011121314
+  // CHECK-NEXT: signed size_t: -1234567891011121314
+  // CHECK-NEXT: ptrdiff_t: -1234567891011121314
+
+  FORMAT_STRING(fmt4) = "Integer negative values:\n"
+                        "\tsigned char: %hhi\n"
+                        "\tshort: %hi\n"
+                        "\tint: %i\n"
+                        "\tintmax_t: %ji\n"
+                        "\tsigned size_t: %zi\n"
+                        "\tptrdiff_t: %ti\n";
+  ext::oneapi::experimental::printf(fmt4, hhd, hd, d, jd, zd, td);
+  // CHECK: Integer negative values:
+  // CHECK-NEXT: signed char: -123
+  // CHECK-NEXT: short: -12345
+  // CHECK-NEXT: int: -1234567891
+  // CHECK-NEXT: intmax_t: -1234567891011121314
+  // CHECK-NEXT: signed size_t: -1234567891011121314
+  // CHECK-NEXT: ptrdiff_t: -1234567891011121314
+}
+
+void do_o_test() { // %o unsigned integer, octal representation
+  // Some reference values
+  constexpr unsigned char CHAR_VALUE = 0123;
+  constexpr unsigned short SHORT_VALUE = 0123456;
+  constexpr unsigned int INT_VALUE = 012345670123;
+  constexpr unsigned long long LONG_LONG_VALUE = 01234567012345670123456;
+
+  unsigned char hho = CHAR_VALUE;
+  unsigned short ho = SHORT_VALUE;
+  unsigned int o = INT_VALUE;
+  uintmax_t jo = LONG_LONG_VALUE;
+  size_t zo = LONG_LONG_VALUE;
+  ptrdiff_t to = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Octal:\n"
+                        "\tunsigned char: %hho\n"
+                        "\tunsigned short: %ho\n"
+                        "\tunsigned int: %o\n"
+                        "\tuintmax_t: %jo\n"
+                        "\tsize_t: %zo\n"
+                        "\tptrdiff_t (unsigned version): %to\n";
+  ext::oneapi::experimental::printf(fmt1, hho, ho, o, jo, zo, to);
+  // CHECK: Octal:
+  // CHECK-NEXT: unsigned char: 123
+  // CHECK-NEXT: unsigned short: 123456
+  // CHECK-NEXT: unsigned int: 12345670123
+  // CHECK-NEXT: uintmax_t: 1234567012345670123456
+  // CHECK-NEXT: size_t: 1234567012345670123456
+  // CHECK-NEXT: ptrdiff_t (unsigned version): 1234567012345670123456
+}
+
+void do_x_test() { // %x, %X unsigned integer, hexadecimal representation
+  // Some reference values
+  constexpr unsigned char CHAR_VALUE = 0x12;
+  constexpr unsigned short SHORT_VALUE = 0x1234;
+  constexpr unsigned int INT_VALUE = 0x12345678;
+  constexpr unsigned long long LONG_LONG_VALUE = 0x123456789ABCDEF0;
+
+  unsigned char hhx = CHAR_VALUE;
+  unsigned short hx = SHORT_VALUE;
+  unsigned int x = INT_VALUE;
+  uintmax_t jx = LONG_LONG_VALUE;
+  size_t zx = LONG_LONG_VALUE;
+  ptrdiff_t tx = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Hexadecimal:\n"
+                        "\tunsigned char: %hhx\n"
+                        "\tunsigned short: %hx\n"
+                        "\tunsigned int: %x\n"
+                        "\tuintmax_t: %jx\n"
+                        "\tsize_t: %zx\n"
+                        "\tptrdiff_t: %tx\n";
+  ext::oneapi::experimental::printf(fmt1, hhx, hx, x, jx, zx, tx);
+  // CHECK: Hexadecimal:
+  // CHECK-NEXT: unsigned char: 12
+  // CHECK-NEXT: unsigned short: 1234
+  // CHECK-NEXT: unsigned int: 12345678
+  // CHECK-NEXT: uintmax_t: 123456789abcdef0
+  // CHECK-NEXT: size_t: 123456789abcdef0
+  // CHECK-NEXT: ptrdiff_t: 123456789abcdef0
+
+  FORMAT_STRING(fmt2) = "Hexadecimal (capital letters):\n"
+                        "\tunsigned char: %hhX\n"
+                        "\tunsigned short: %hX\n"
+                        "\tunsigned int: %X\n"
+                        "\tuintmax_t: %jX\n"
+                        "\tsize_t: %zX\n"
+                        "\tptrdiff_t: %tX\n";
+  ext::oneapi::experimental::printf(fmt2, hhx, hx, x, jx, zx, tx);
+  // CHECK: Hexadecimal (capital letters):
+  // CHECK-NEXT: unsigned char: 12
+  // CHECK-NEXT: unsigned short: 1234
+  // CHECK-NEXT: unsigned int: 12345678
+  // CHECK-NEXT: uintmax_t: 123456789ABCDEF0
+  // CHECK-NEXT: size_t: 123456789ABCDEF0
+  // CHECK-NEXT: ptrdiff_t: 123456789ABCDEF0
+}
+
+void do_u_test() { // %u unsigned integer, decimal representation
+  // Some reference values
+  constexpr char CHAR_VALUE = 0x7B;     // 123
+  constexpr short SHORT_VALUE = 0x3039; // 12345
+  constexpr int INT_VALUE = 0x499602D3; // 1234567891
+  constexpr long long LONG_LONG_VALUE =
+      0x112210F4B2D230A2; // 1234567891011121314
+
+  unsigned char hhu = CHAR_VALUE;
+  unsigned short hu = SHORT_VALUE;
+  unsigned int u = INT_VALUE;
+  uintmax_t ju = LONG_LONG_VALUE;
+  size_t zu = LONG_LONG_VALUE;
+  ptrdiff_t tu = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Unsigned decimal:\n"
+                        "\tunsigned char: %hhu\n"
+                        "\tunsigned short: %hu\n"
+                        "\tunsigned int: %u\n"
+                        "\tuintmax_t: %ju\n"
+                        "\tsize_t: %zu\n"
+                        "\tptrdiff_t: %tu\n";
+  ext::oneapi::experimental::printf(fmt1, hhu, hu, u, ju, zu, tu);
+  // CHECK: Unsigned decimal:
+  // CHECK-NEXT: unsigned char: 123
+  // CHECK-NEXT: unsigned short: 12345
+  // CHECK-NEXT: unsigned int: 1234567891
+  // CHECK-NEXT: uintmax_t: 1234567891011121314
+  // CHECK-NEXT: size_t: 1234567891011121314
+  // CHECK-NEXT: ptrdiff_t: 1234567891011121314
+}
+
+class IntTest;
+
+int main() {
+  queue q;
+
+  q.submit([](handler &cgh) {
+    cgh.single_task<IntTest>([]() {
+      do_d_i_test();
+      do_o_test();
+      do_x_test();
+      do_u_test();
+    });
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Printf/long.cpp b/sycl/test-e2e/Printf/long.cpp
new file mode 100644
index 0000000000000..474b0b00c4dc1
--- /dev/null
+++ b/sycl/test-e2e/Printf/long.cpp
@@ -0,0 +1,155 @@
+// This test is written with an aim to check that experimental::printf behaves
+// in the same way as printf from C99/C11
+//
+// The test is written using conversion specifiers table from cppreference [1]
+// [1]: https://en.cppreference.com/w/cpp/io/c/fprintf
+//
+// FIXME: Once the Windows OpenCL CPU/ACC support is fixed, merge this test's
+// contents into the common integer test.
+// UNSUPPORTED: (windows && (cpu || accelerator)) || hip_amd
+// XFAIL: cuda && windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated constant address space testing once generic AS
+//        support is considered stable.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.constant.out \
+// RUN: -DTEST_CONSTANT_AS
+// RUN: %CPU_RUN_PLACEHOLDER %t.constant.out %CPU_CHECK_PLACEHOLDER
+// RUN: %GPU_RUN_PLACEHOLDER %t.constant.out %GPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.constant.out %ACC_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+#include "helper.hpp"
+
+using namespace sycl;
+
+void do_d_i_test() { // %d, %i signed integer, decimal representation
+  // Some reference values
+  constexpr int INT_VALUE = 0x499602D3; // 1234567891
+  constexpr long LONG_VALUE = INT_VALUE;
+  constexpr long long LONG_LONG_VALUE =
+      0x112210F4B2D230A2; // 1234567891011121314
+
+  long ld = LONG_VALUE;
+  long long lld = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Decimal positive values:\n"
+                        "\tlong int: %ld\n"
+                        "\tlong long int: %lld\n";
+  ext::oneapi::experimental::printf(fmt1, ld, lld);
+  // CHECK: Decimal positive values:
+  // CHECK-NEXT: long int: 1234567891
+  // CHECK-NEXT: long long int: 1234567891011121314
+
+  FORMAT_STRING(fmt2) = "Integer positive values:\n"
+                        "\tlong int: %li\n"
+                        "\tlong long int: %lli\n";
+  ext::oneapi::experimental::printf(fmt2, ld, lld);
+  // CHECK: Integer positive values:
+  // CHECK-NEXT: long int: 1234567891
+  // CHECK-NEXT: long long int: 1234567891011121314
+
+  ld = -ld;
+  lld = -lld;
+
+  FORMAT_STRING(fmt3) = "Decimal negative values:\n"
+                        "\tlong int: %ld\n"
+                        "\tlong long int: %lld\n";
+  ext::oneapi::experimental::printf(fmt3, ld, lld);
+  // CHECK: Decimal negative values:
+  // CHECK-NEXT: long int: -1234567891
+  // CHECK-NEXT: long long int: -1234567891011121314
+
+  FORMAT_STRING(fmt4) = "Integer negative values:\n"
+                        "\tlong int: %li\n"
+                        "\tlong long int: %lli\n";
+  ext::oneapi::experimental::printf(fmt4, ld, lld);
+  // CHECK: Integer negative values:
+  // CHECK-NEXT: long int: -1234567891
+  // CHECK-NEXT: long long int: -1234567891011121314
+}
+
+void do_o_test() { // %o unsigned integer, octal representation
+  // Some reference values
+  constexpr unsigned int INT_VALUE = 012345670123;
+  constexpr unsigned long LONG_VALUE = INT_VALUE;
+  constexpr unsigned long long LONG_LONG_VALUE = 01234567012345670123456;
+
+  unsigned long lo = LONG_VALUE;
+  unsigned long long llo = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Octal:\n"
+                        "\tunsigned long: %lo\n"
+                        "\tunsigned long long: %llo\n";
+  ext::oneapi::experimental::printf(fmt1, lo, llo);
+  // CHECK: Octal:
+  // CHECK-NEXT: unsigned long: 12345670123
+  // CHECK-NEXT: unsigned long long: 1234567012345670123456
+}
+
+void do_x_test() { // %x, %X unsigned integer, hexadecimal representation
+  // Some reference values
+  constexpr unsigned int INT_VALUE = 0x12345678;
+  constexpr unsigned long LONG_VALUE = INT_VALUE;
+  constexpr unsigned long long LONG_LONG_VALUE = 0x123456789ABCDEF0;
+
+  unsigned long lx = LONG_VALUE;
+  unsigned long long llx = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Hexadecimal:\n"
+                        "\tunsigned long: %lx\n"
+                        "\tunsigned long long: %llx\n";
+  ext::oneapi::experimental::printf(fmt1, lx, llx);
+  // CHECK: Hexadecimal:
+  // CHECK-NEXT: unsigned long: 12345678
+  // CHECK-NEXT: unsigned long long: 123456789abcdef0
+
+  FORMAT_STRING(fmt2) = "Hexadecimal (capital letters):\n"
+                        "\tunsigned long int: %lX\n"
+                        "\tunsigned long long int: %llX\n";
+  ext::oneapi::experimental::printf(fmt2, lx, llx);
+  // CHECK: Hexadecimal (capital letters):
+  // CHECK-NEXT: unsigned long int: 12345678
+  // CHECK-NEXT: unsigned long long int: 123456789ABCDEF0
+}
+
+void do_u_test() { // %u unsigned integer, decimal representation
+  // Some reference values
+  constexpr int INT_VALUE = 0x499602D3; // 1234567891
+  constexpr long LONG_VALUE = INT_VALUE;
+  constexpr long long LONG_LONG_VALUE =
+      0x112210F4B2D230A2; // 1234567891011121314
+
+  unsigned long lu = LONG_VALUE;
+  unsigned long long llu = LONG_LONG_VALUE;
+
+  FORMAT_STRING(fmt1) = "Unsigned decimal:\n"
+                        "\tunsigned long int: %lu\n"
+                        "\tunsigned long long int: %llu\n";
+  ext::oneapi::experimental::printf(fmt1, lu, llu);
+  // CHECK: Unsigned decimal:
+  // CHECK-NEXT: unsigned long int: 1234567891
+  // CHECK-NEXT: unsigned long long int: 1234567891011121314
+}
+
+class IntTest;
+
+int main() {
+  queue q;
+
+  q.submit([](handler &cgh) {
+    cgh.single_task<IntTest>([]() {
+      do_d_i_test();
+      do_o_test();
+      do_x_test();
+      do_u_test();
+    });
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Printf/mixed-address-space.cpp b/sycl/test-e2e/Printf/mixed-address-space.cpp
new file mode 100644
index 0000000000000..6bb23dca44779
--- /dev/null
+++ b/sycl/test-e2e/Printf/mixed-address-space.cpp
@@ -0,0 +1,43 @@
+// This test is written with an aim to check that experimental::printf versions
+// for constant and generic address space can be used in the same module.
+//
+// UNSUPPORTED: hip_amd
+// XFAIL: cuda && windows
+//
+// FIXME: Drop the test once generic AS support is considered stable and the
+//        dedicated constant AS overload of printf is removed from the library.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// CHECK: Constant addrspace literal
+// CHECK: Generic addrspace literal
+
+#include <sycl/sycl.hpp>
+
+#include "helper.hpp"
+
+#include <cstring>
+
+using namespace sycl;
+
+void test() {
+  {
+    FORMAT_STRING(constant_literal) = "Constant addrspace literal\n";
+    ext::oneapi::experimental::printf(constant_literal);
+    ext::oneapi::experimental::printf("Generic addrspace literal\n");
+  }
+}
+
+class MixedAddrspaceTest;
+
+int main() {
+  queue q;
+
+  q.submit([](handler &cgh) {
+    cgh.single_task<MixedAddrspaceTest>([]() { test(); });
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Printf/percent-symbol.cpp b/sycl/test-e2e/Printf/percent-symbol.cpp
new file mode 100644
index 0000000000000..0c364b811d38f
--- /dev/null
+++ b/sycl/test-e2e/Printf/percent-symbol.cpp
@@ -0,0 +1,54 @@
+// This test is written with an aim to check that experimental::printf behaves
+// in the same way as printf from C99/C11
+//
+// The test is written using conversion specifiers table from cppreference [1]
+// [1]: https://en.cppreference.com/w/cpp/io/c/fprintf
+//
+// UNSUPPORTED: hip_amd
+// XFAIL: cuda && windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+// FIXME: Remove dedicated constant address space testing once generic AS
+//        support is considered stable.
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.constant.out \
+// RUN: -DTEST_CONSTANT_AS
+// RUN: %CPU_RUN_PLACEHOLDER %t.constant.out %CPU_CHECK_PLACEHOLDER
+// RUN: %ACC_RUN_PLACEHOLDER %t.constant.out %ACC_CHECK_PLACEHOLDER
+//
+// FIXME: Enable on GPU once %% conversion is supported there
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUNx: %GPU_RUN_PLACEHOLDER %t.constant.out %GPU_CHECK_PLACEHOLDER
+//
+// CHECK: %c %s %d %i %o %x %X %u
+// CHECK-NEXT: %f %F %e %E %a %A %g %G %n %p
+
+#include <sycl/sycl.hpp>
+
+#include <cstring>
+
+#include "helper.hpp"
+
+using namespace sycl;
+
+void do_percent_specifier_test() {
+  {
+    FORMAT_STRING(fmt) = "%%c %%s %%d %%i %%o %%x %%X %%u\n"
+                         "%%f %%F %%e %%E %%a %%A %%g %%G %%n %%p\n";
+    ext::oneapi::experimental::printf(fmt);
+  }
+}
+
+class PercentTest;
+
+int main() {
+  queue q;
+
+  q.submit([](handler &cgh) {
+    cgh.single_task<PercentTest>([]() { do_percent_specifier_test(); });
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Properties/cache_config.cpp b/sycl/test-e2e/Properties/cache_config.cpp
new file mode 100644
index 0000000000000..1d7456d5a1722
--- /dev/null
+++ b/sycl/test-e2e/Properties/cache_config.cpp
@@ -0,0 +1,125 @@
+
+// REQUIRES: gpu, level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 | FileCheck %s
+
+#include <numeric>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::intel::experimental;
+using namespace sycl::ext::oneapi::experimental;
+
+struct KernelFunctor {
+
+  KernelFunctor() {}
+
+  void operator()() const {}
+  auto get(properties_tag) const { return properties{cache_config(large_slm)}; }
+};
+
+struct KernelFunctorND {
+
+  KernelFunctorND() {}
+
+  void operator()(nd_item<2> i) const {}
+  auto get(properties_tag) const { return properties{cache_config(large_slm)}; }
+};
+
+struct NegativeKernelFunctor {
+
+  NegativeKernelFunctor() {}
+
+  void operator()(nd_item<2> i) const {}
+  auto get(properties_tag) const { return properties{}; }
+};
+
+int main() {
+  sycl::property_list q_prop{sycl::property::queue::in_order()};
+  queue q{q_prop};
+
+  sycl::ext::oneapi::experimental::properties properties{
+      cache_config(large_slm)};
+
+  // CHECK: single_task
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "single_task" << std::endl;
+  q.single_task(properties, [=]() {}).wait();
+
+  // CHECK: parallel_for with sycl::range
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "parallel_for with sycl::range" << std::endl;
+  q.parallel_for(range<2>{16, 16}, properties, [=](id<2> i) {}).wait();
+
+  // CHECK: parallel_for with sycl::nd_range
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "parallel_for with sycl::nd_range" << std::endl;
+  q.parallel_for(nd_range<2>{range<2>(4, 4), range<2>(2, 2)}, properties,
+                 [=](nd_item<2> i) {})
+      .wait();
+
+  // CHECK: parallel_for_work_group(range, func)
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "parallel_for_work_group(range, func)" << std::endl;
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for_work_group<class hpar_range>(
+        range<1>(8), properties,
+        [=](group<1> g) { g.parallel_for_work_item([&](h_item<1> i) {}); });
+  });
+
+  // CHECK: parallel_for_work_group(range, range, func)
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "parallel_for_work_group(range, range, func)" << std::endl;
+  q.submit([&](handler &cgh) {
+    cgh.parallel_for_work_group<class hpar_range_range>(
+        range<1>(8), range<1>(4), properties,
+        [=](group<1> g) { g.parallel_for_work_item([&](h_item<1> i) {}); });
+  });
+
+  buffer<int> values_buf{1024};
+  {
+    host_accessor a{values_buf};
+    std::iota(a.begin(), a.end(), 0);
+  }
+
+  int sum_result = 0;
+  buffer<int> sum_buf{&sum_result, 1};
+
+  // CHECK: parallel_for with reduction
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "parallel_for with reduction" << std::endl;
+  q.submit([&](handler &cgh) {
+    auto input_values = values_buf.get_access<access_mode::read>(cgh);
+    auto sum_reduction = reduction(sum_buf, cgh, plus<>());
+    cgh.parallel_for(range<1>{1024}, properties, sum_reduction,
+                     [=](id<1> idx, auto &sum) { sum += input_values[idx]; });
+  });
+
+  // CHECK: KernelFunctor single_task
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "KernelFunctor single_task" << std::endl;
+  q.single_task(KernelFunctor{}).wait();
+
+  // CHECK: KernelFunctor parallel_for
+  // CHECK: ZE ---> zeKernelSetCacheConfig
+  std::cout << "KernelFunctor parallel_for" << std::endl;
+  q.parallel_for(nd_range<2>{range<2>(4, 4), range<2>(2, 2)}, KernelFunctorND{})
+      .wait();
+
+  // CHECK: negative parallel_for with sycl::nd_range
+  // CHECK-NOT: ZE ---> zeKernelSetCacheConfig
+  std::cout << "negative parallel_for with sycl::nd_range" << std::endl;
+  q.parallel_for(nd_range<2>{range<2>(4, 4), range<2>(2, 2)},
+                 [=](nd_item<2> i) {})
+      .wait();
+
+  // CHECK: negative parallel_for with KernelFunctor
+  // CHECK-NOT: ZE ---> zeKernelSetCacheConfig
+  std::cout << "negative parallel_for with KernelFunctor" << std::endl;
+  q.parallel_for(nd_range<2>{range<2>(4, 4), range<2>(2, 2)},
+                 NegativeKernelFunctor{})
+      .wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/README.md b/sycl/test-e2e/README.md
new file mode 100644
index 0000000000000..255ac9fc71ed9
--- /dev/null
+++ b/sycl/test-e2e/README.md
@@ -0,0 +1,219 @@
+# Table of contents
+ * [Overview](#overview)
+ * [Prerequisites](#prerequisites)
+ * [Build and run tests](#build-and-run-tests)
+ * [CMake parameters](#cmake-parameters)
+ * [Special test categories](#special-test-categories)
+ * [Creating or modifying tests](#creating-or-modifying-tests)
+   * [LIT feature checks](#lit-feature-checks)
+   * [llvm-lit parameters](#llvm-lit-parameters)
+
+# Overview
+This directory contains SYCL-related tests distributed in subdirectories based
+on testing scope.
+
+# Prerequisites
+
+ - DPC++ compiler. Can be built following these
+   [instructions](https://github.com/intel/llvm/blob/sycl/sycl/doc/GetStartedGuide.md#build-dpc-toolchain)
+   or taken prebuilt from [releases](https://github.com/intel/llvm/releases).
+ - LIT tools (llvm-lit, llvm-size). They are not available at prebuilts above,
+   but can be built in compiler project (e.g. with "ninja check").
+ - Target runtime(s) to execute tests on devices. See
+   [installation instructions](https://github.com/intel/llvm/blob/sycl/sycl/doc/GetStartedGuide.md#install-low-level-runtime)
+
+# Build and run tests
+
+Get sources
+
+```
+git clone https://github.com/intel/llvm
+cd llvm/sycl/test-e2e
+mkdir build
+cd build
+```
+
+With compiler tools available in the PATH:
+
+```
+# Configure
+cmake \
+ -DSYCL_CXX_COMPILER=clang++ \
+ -DSYCL_TEST_E2E_TARGETS="opencl:cpu" \
+ ..
+
+# Build and Run
+make check-sycl-e2e
+```
+
+To use ninja build run as:
+
+```
+# Configure
+cmake -G Ninja ...
+
+# Build and Run
+ninja check-sycl-e2e
+```
+
+In addition to this standalone configuration one can enable `check-sycl-e2e`
+target for the sycl-toolchain workspace/build by specifying
+`SYCL_TEST_E2E_TARGETS` as part of its cmake configuration. For example, like
+this:
+
+```
+CC=<> CXX=<> python llvm/buildbot/configure.py -o build ... \
+  --cmake-opt=-DSYCL_TEST_E2E_TARGETS="level_zero:gpu;opencl:gpu"
+  --cmake-opt=-DSYCL_E2E_TESTS_LIT_FLAGS="--param;dump_ir=True"``
+```
+
+# Cmake parameters
+
+These parameters can be used to configure tests:
+
+***SYCL_CXX_COMPILER*** - path to DPCPP compiler
+
+***TEST_SUITE_LLVM_SIZE*** - path to llvm-size tool, required for code size
+collection
+
+***TEST_SUITE_COLLECT_COMPILE_TIME=OFF*** - can be used to turn off compile
+time collection
+
+***TEST_SUITE_COLLECT_CODE_SIZE=OFF*** - can be used to turn off code size
+collection
+
+***LLVM_LIT*** - path to llvm-lit tool
+
+***SYCL_TEST_E2E_TARGETS*** - defines selection of multiple SYCL backends with
+set of target devices per each to be tested iteratively. Value is
+semicolon-separated list of configurations. Each configuration includes backend
+separated from comma-separated list of target devices with colon. Example:
+
+```
+-DSYCL_TEST_E2E_TARGETS="opencl:cpu;ext_oneapi_level_zero:gpu;ext_oneapi_cuda:gpu;ext_oneapi_hip:gpu;ext_intel_esimd_emulator:gpu"
+```
+
+***SYCL_BE*** - SYCL backend to be used for testing. Supported values are:
+ - **opencl** - for OpenCL backend;
+ - **ext_oneapi_cuda** - for CUDA backend;
+ - **ext_oneapi_hip** - for HIP backend;
+ - **ext_oneapi_level_zero** - Level Zero backend;
+ - **ext_intel_esimd_emulator** - ESIMD emulator backend;
+
+
+***SYCL_TARGET_DEVICES*** - comma separated list of target devices for testing.
+Default value is cpu,gpu,acc. Supported values are:
+ - **cpu**  - CPU device available in OpenCL backend only;
+ - **gpu**  - GPU device available in OpenCL, Level Zero, CUDA, and HIP backends;
+ - **acc**  - FPGA emulator device available in OpenCL backend only;
+
+***OpenCL_LIBRARY*** - path to OpenCL ICD loader library. OpenCL
+interoperability tests require OpenCL ICD loader to be linked with. For such
+tests OpenCL ICD loader library should be installed in the system or available
+at the full path specified by this variable.
+
+***LEVEL_ZERO_INCLUDE*** - path to Level Zero headers.
+
+***LEVEL_ZERO_LIBS_DIR*** - path to Level Zero libraries.
+
+***CUDA_INCLUDE*** - path to CUDA headers.
+
+***CUDA_LIBS_DIR*** - path to CUDA libraries.
+
+***HIP_PLATFORM*** - platform selection for HIP targeted devices.
+Defaults to AMD if no value is given. Supported values are:
+ - **AMD**    - for HIP to target AMD GPUs
+ - **NVIDIA** - for HIP to target NVIDIA GPUs
+ 
+ ***AMD_ARCH*** - flag must be set for when using HIP AMD triple.
+ For example it may be set to "gfx906".
+
+***GPU_AOT_TARGET_OPTS*** - defines additional options which are passed to AOT
+compilation command line for GPU device. If not specified "-device *" value
+is used.
+
+# Special test categories
+
+There are two special directories for extended testing. See documentation at:
+
+ - [ExtraTests](ExtraTests/README.md)
+ - [External](External/README.md)
+
+# Creating or modifying tests
+
+## LIT feature checks
+
+Following features can be checked in tests to limit test execution to the
+specific environment via REQUIRES, UNSUPPORTED, etc. filters. For example if
+REQUIRES:sycl-ls specified, test will run only if sycl-ls tool is available.
+If UNSUPPORTED:sycl-ls specified, test will run only if sycl-ls tool is
+unavailable.
+
+ * **windows**, **linux** - host OS;
+ * **cpu**, **gpu**, **accelerator** - target device;
+ * **cuda**, **hip**, **opencl**, **level_zero**, **esimd_emulator** - target
+     backend;
+ * **sycl-ls** - sycl-ls tool availability;
+ * **cm-compiler** - C for Metal compiler availability;
+ * **cl_options** - CL command line options recognized (or not) by compiler;
+ * **opencl_icd** - OpenCL ICD loader availability;
+ * **aot_tool** - Ahead-of-time compilation tools availability;
+ * **ocloc**, **opencl-aot** - Specific AOT tool availability;
+ * **level_zero_dev_kit** - Level_Zero headers and libraries availability;
+ * **cuda_dev_kit** - CUDA SDK headers and libraries availability;
+ * **gpu-intel-gen9**  - Intel GPU Gen9  availability;
+ * **gpu-intel-gen11** - Intel GPU Gen11 availability;
+ * **gpu-intel-gen12** - Intel GPU Gen12 availability;
+ * **gpu-intel-dg1** - Intel GPU DG1 availability;
+ * **gpu-intel-dg2** - Intel GPU DG2 availability;
+ * **gpu-intel-pvc** - Intel GPU PVC availability;
+ * **dump_ir**: - compiler can / cannot dump IR;
+
+## llvm-lit parameters
+
+Following options can be passed to llvm-lit tool through --param option to
+configure specific single test execution in the command line:
+
+ * **dpcpp_compiler** - full path to dpcpp compiler;
+ * **target_devices** - comma-separated list of target devices (cpu, gpu, acc);
+ * **sycl_be** - SYCL backend to be used (opencl, ext_oneapi_level_zero,
+   ext_oneapi_cuda, ext_oneapi_hip, ext_oneapi_intel_emulator);
+ * **dump_ir** - if IR dumping is supported for compiler (True, False);
+ * **compatibility_testing** - forces LIT infra to skip the tests compilation
+   to support compatibility testing (a SYCL application is built with one
+   version of SYCL compiler and then run with different SYCL RT version);
+ * **gpu_aot_target_opts** - defines additional options which are passed to AOT
+   compilation command line for GPU device. It can be also set by CMake variable
+   GPU_AOT_TARGET_OPTS. If not specified "-device *" value is used.
+ * **gpu-intel-dg1** - tells LIT infra that Intel GPU DG1 is present in the
+   system. It is developer / CI infra responsibility to make sure that the
+   device is available in the system. Tests requiring DG1 to run must use proper
+   device selector to ensure that. Use SYCL_DEVICE_ALLOWLIST or
+   SYCL_DEVICE_FILTER to get proper configuration (see
+   [EnvironmentVariables.md](https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md));
+ * **gpu-intel-dg2** - tells LIT infra that Intel GPU DG2 is present in the
+   system. It is developer / CI infra responsibility to make sure that the
+   device is available in the system.
+ * **gpu-intel-pvc** - tells LIT infra that Intel GPU PVC is present in the
+   system. It is developer / CI infra responsibility to make sure that the
+   device is available in the system.
+ * **extra_environment** - comma-separated list of variables with values to be
+   added to test environment. Can be also set by LIT_EXTRA_ENVIRONMENT variable
+   in cmake.
+ * **level_zero_include** - directory containing Level_Zero native headers,
+   can be also set by CMake variable LEVEL_ZERO_INCLUDE.
+ * **level_zero_libs_dir** - directory containing Level_Zero native libraries,
+   can be also set by CMake variable LEVEL_ZERO_LIBS_DIR.
+ * **cuda_include** - directory containing CUDA SDK headers, can be also set by
+   CMake variable CUDA_INCLUDE.
+ * **cuda_libs_dir** - directory containing CUDA SDK libraries, can be also set
+   by CMake variable CUDA_LIBS_DIR.
+
+Example:
+
+```
+llvm-lit --param target_devices=gpu --param sycl_be=ext_oneapi_level_zero \
+         --param dpcpp_compiler=path/to/clang++ --param dump_ir=True \
+         SYCL/External/RSBench
+```
+
diff --git a/sycl/test-e2e/Reduction/reduction_big_data.cpp b/sycl/test-e2e/Reduction/reduction_big_data.cpp
new file mode 100644
index 0000000000000..7146975af534d
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_big_data.cpp
@@ -0,0 +1,96 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+//
+// Group algorithms are not supported on Nvidia.
+// XFAIL: hip_nvidia
+//
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// where the bigger data size and/or non-uniform work-group sizes may cause
+// errors.
+
+#include "reduction_utils.hpp"
+
+#include <algorithm>
+
+using namespace sycl;
+
+template <typename... Ts> class KernelNameGroup;
+
+size_t getSafeMaxWGSize(size_t MaxWGSize, size_t MemSize, size_t OneElemSize) {
+  size_t MaxNumElems = MemSize / OneElemSize;
+  if ((MaxNumElems & (MaxNumElems - 1)) != 0)
+    MaxNumElems--; // Need 1 additional element in mem if not pow of 2
+  return std::min(MaxNumElems / 2, MaxWGSize);
+}
+
+template <typename Name, typename T, int Dim, class BinaryOperation>
+int test(queue &Q, T Identity) {
+  device Device = Q.get_device();
+  std::size_t MaxWGSize = Device.get_info<info::device::max_work_group_size>();
+  std::size_t LocalMemSize = Device.get_info<info::device::local_mem_size>();
+
+  size_t WGSize = getSafeMaxWGSize(MaxWGSize, LocalMemSize, sizeof(T));
+
+  size_t MaxGlobalMem = 2LL * 1024 * 1024 * 1024; // Don't use more than 2 Gb
+  // Limit max global range by mem and also subtract 1 to make it non-uniform.
+  size_t MaxGlobalRange = MaxGlobalMem / sizeof(T) - 1;
+  size_t NWorkItems = std::min(WGSize * MaxWGSize + 1, MaxGlobalRange);
+
+  size_t NWorkGroups = (NWorkItems - 1) / WGSize + 1;
+  nd_range<1> NDRange(range<1>{NWorkGroups * WGSize}, range<1>{WGSize});
+  printTestLabel<T, BinaryOperation>(NDRange);
+
+  buffer<T, 1> InBuf(NWorkItems);
+  buffer<T, 1> OutBuf(1);
+  (OutBuf.template get_access<access::mode::write>())[0] = Identity;
+
+  // Initialize.
+  BinaryOperation BOp;
+  T CorrectOut;
+  initInputData(InBuf, CorrectOut, BOp, NWorkItems);
+
+  // Compute.
+  Q.submit([&](handler &CGH) {
+    auto In = InBuf.template get_access<access::mode::read>(CGH);
+    CGH.parallel_for<Name>(NDRange, sycl::reduction(OutBuf, CGH, Identity, BOp),
+                           [=](nd_item<1> NDIt, auto &Sum) {
+                             if (NDIt.get_global_linear_id() < NWorkItems)
+                               Sum.combine(In[NDIt.get_global_linear_id()]);
+                           });
+  });
+
+  // Check correctness.
+  auto Out = OutBuf.template get_access<access::mode::read>();
+  T ComputedOut = *(Out.get_pointer());
+  return checkResults(Q, BOp, NDRange, ComputedOut, CorrectOut);
+}
+
+template <typename T> struct BigCustomVec : public CustomVec<T> {
+  BigCustomVec() : CustomVec<T>() {}
+  BigCustomVec(T X, T Y) : CustomVec<T>(X, Y) {}
+  BigCustomVec(T V) : CustomVec<T>(V) {}
+  unsigned char OtherData[512 - sizeof(CustomVec<T>)];
+};
+
+template <class T> struct BigCustomVecPlus {
+  using CV = BigCustomVec<T>;
+  CV operator()(const CV &A, const CV &B) const {
+    return CV(A.X + B.X, A.Y + B.Y);
+  }
+};
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  int NumErrors = test<class A1, float, 0, ext::oneapi::maximum<>>(
+      Q, getMinimumFPValue<float>());
+
+  using BCV = BigCustomVec<long long>;
+  NumErrors += test<class A2, BCV, 1, BigCustomVecPlus<long long>>(Q, BCV(0));
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_complex_nums.cpp b/sycl/test-e2e/Reduction/reduction_complex_nums.cpp
new file mode 100644
index 0000000000000..ec9432d19d6ed
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_complex_nums.cpp
@@ -0,0 +1,58 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <algorithm>
+#include <complex>
+#include <numeric>
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+#define BUFFER_SIZE 255
+
+// Currently, Identityless reduction for complex numbers is
+// only valid for plus operator.
+// TODO: Extend this test case once we support known_identity for std::complex
+// and more operators (apart from plus).
+template <typename T>
+void test_identityless_reduction_for_complex_nums(queue &q) {
+  // Allocate and initialize buffer on the host with all 1's.
+  buffer<std::complex<T>> valuesBuf{BUFFER_SIZE};
+  {
+    host_accessor a{valuesBuf};
+    T n = 0;
+    std::generate(a.begin(), a.end(), [&n] {
+      n++;
+      return std::complex<T>(n, n + 1);
+    });
+  }
+
+  // Buffer to hold the reduction results.
+  std::complex<T> sumResult = 0;
+  buffer<std::complex<T>> sumBuf{&sumResult, 1};
+
+  q.submit([&](handler &cgh) {
+    accessor inputVals{valuesBuf, cgh, sycl::read_only};
+    auto sumReduction = reduction(sumBuf, cgh, plus<std::complex<T>>());
+
+    cgh.parallel_for(nd_range<1>{BUFFER_SIZE, BUFFER_SIZE}, sumReduction,
+                     [=](nd_item<1> idx, auto &sum) {
+                       sum += inputVals[idx.get_global_id(0)];
+                     });
+  });
+
+  assert(sumBuf.get_host_access()[0] == std::complex<T>(32640, 32895));
+}
+
+int main() {
+  queue q;
+
+  test_identityless_reduction_for_complex_nums<float>(q);
+  if (q.get_device().has(aspect::fp64))
+    test_identityless_reduction_for_complex_nums<double>(q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_ctor.cpp b/sycl/test-e2e/Reduction/reduction_ctor.cpp
new file mode 100644
index 0000000000000..6ee4fa48b3525
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_ctor.cpp
@@ -0,0 +1,176 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This performs basic checks such as reduction creation, identity methods,
+// and the combine() method of the aux class 'reducer'.
+// Note: This test relies on non-standard implementation details.
+
+#include "reduction_utils.hpp"
+#include <cassert>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+bool toBool(bool V) { return V; }
+bool toBool(vec<int, 2> V) { return V.x() && V.y(); }
+bool toBool(vec<int, 4> V) { return V.x() && V.y() && V.z() && V.w(); }
+
+template <typename T, typename Reduction>
+void test_reducer(Reduction &Redu, T A, T B) {
+  typename Reduction::reducer_type Reducer;
+  Reducer.combine(A);
+  Reducer.combine(B);
+
+  typename Reduction::binary_operation BOp;
+  T ExpectedValue = BOp(A, B);
+  assert(ExpectedValue == detail::ReducerAccess{Reducer}.getElement(0) &&
+         "Wrong result of binary operation.");
+  assert(
+      toBool(Reducer.identity() == Redu.getIdentityContainer().getIdentity()) &&
+      "Failed identity() check().");
+}
+
+template <typename T, typename Reduction, typename BinaryOperation>
+void test_reducer(Reduction &Redu, T Identity, BinaryOperation BOp, T A, T B) {
+  typename Reduction::reducer_type Reducer(Identity, BOp);
+  Reducer.combine(A);
+  Reducer.combine(B);
+
+  T ExpectedValue = BOp(A, B);
+  assert(
+      toBool(ExpectedValue == detail::ReducerAccess{Reducer}.getElement(0)) &&
+      "Wrong result of binary operation.");
+  assert(
+      toBool(Reducer.identity() == Redu.getIdentityContainer().getIdentity()) &&
+      "Failed identity() check().");
+}
+
+template <typename... Ts> class KernelNameGroup;
+
+template <typename SpecializationKernelName, typename T, int Dim,
+          class BinaryOperation>
+void testKnown(T Identity, BinaryOperation BOp, T A, T B) {
+  static_assert(has_known_identity<BinaryOperation, T>::value);
+  queue Q;
+  buffer<T, 1> ReduBuf(1);
+  T *ReduUSMPtr = malloc_host<T>(1, Q);
+
+  Q.submit([&](handler &CGH) {
+    // Reduction needs a device accessor as a parameter.
+    // This accessor is not really used in this test.
+    accessor<T, Dim, access::mode::read_write, access::target::device>
+        ReduRWAcc(ReduBuf, CGH);
+    accessor<T, Dim, access::mode::discard_write, access::target::device>
+        ReduDWAcc(ReduBuf, CGH);
+    auto Redu = sycl::reduction(ReduBuf, CGH, BOp);
+    auto ReduUSM = sycl::reduction(ReduUSMPtr, BOp);
+
+    assert(toBool(Redu.getIdentityContainer().getIdentity() == Identity) &&
+           toBool(ReduUSM.getIdentityContainer().getIdentity() == Identity) &&
+           toBool(known_identity<BinaryOperation, T>::value == Identity) &&
+           "Failed getIdentity() check().");
+    test_reducer(Redu, A, B);
+    test_reducer(ReduUSM, A, B);
+
+    test_reducer(Redu, Identity, BOp, A, B);
+    test_reducer(ReduUSM, Identity, BOp, A, B);
+
+    // Command group must have at least one task in it. Use an empty one.
+    CGH.single_task<SpecializationKernelName>([=]() {});
+  });
+  free(ReduUSMPtr, Q);
+}
+
+template <typename SpecializationKernelName, typename T, int Dim,
+          class BinaryOperation>
+void testUnknown(T Identity, BinaryOperation BOp, T A, T B) {
+  queue Q;
+  buffer<T, 1> ReduBuf(1);
+  T *ReduUSMPtr = malloc_host<T>(1, Q);
+  Q.submit([&](handler &CGH) {
+    // Reduction needs a device accessor as a parameter.
+    // This accessor is not really used in this test.
+    accessor<T, Dim, access::mode::read_write, access::target::device>
+        ReduRWAcc(ReduBuf, CGH);
+    accessor<T, Dim, access::mode::discard_write, access::target::device>
+        ReduDWAcc(ReduBuf, CGH);
+    auto Redu = sycl::reduction(ReduBuf, CGH, Identity, BOp);
+    auto ReduUSM = sycl::reduction(ReduUSMPtr, Identity, BOp);
+    assert(toBool(Redu.getIdentityContainer().getIdentity() == Identity) &&
+           toBool(ReduUSM.getIdentityContainer().getIdentity() == Identity) &&
+           "Failed getIdentity() check().");
+    test_reducer(Redu, Identity, BOp, A, B);
+    test_reducer(ReduUSM, Identity, BOp, A, B);
+
+    // Command group must have at least one task in it. Use an empty one.
+    CGH.single_task<SpecializationKernelName>([=]() {});
+  });
+  free(ReduUSMPtr, Q);
+}
+
+template <typename SpecializationKernelName, typename T, class BinaryOperation>
+void testBoth(T Identity, BinaryOperation BOp, T A, T B) {
+  testKnown<KernelNameGroup<SpecializationKernelName,
+                            class KernelName_SpronAvHpacKFL>,
+            T, 0>(Identity, BOp, A, B);
+  testKnown<
+      KernelNameGroup<SpecializationKernelName, class KernelName_XFxrYatPJlU>,
+      T, 1>(Identity, BOp, A, B);
+  testUnknown<
+      KernelNameGroup<SpecializationKernelName, class KernelName_oUFYMyQSlL>, T,
+      0>(Identity, BOp, A, B);
+  testUnknown<KernelNameGroup<SpecializationKernelName, class KernelName_Ndbp>,
+              T, 1>(Identity, BOp, A, B);
+}
+
+int main() {
+  testBoth<class KernelName_DpWavJTNjhJtrHmLWt, int>(
+      0, ext::oneapi::plus<int>(), 1, 7);
+  testBoth<class KernelName_MHRtc, int>(1, std::multiplies<int>(), 1, 7);
+  testBoth<class KernelName_eYhurMyKBZvzctmqwUZ, int>(
+      0, ext::oneapi::bit_or<int>(), 1, 8);
+  testBoth<class KernelName_DpVPIUBjUMGZEwBFHH, int>(
+      0, ext::oneapi::bit_xor<int>(), 7, 3);
+  testBoth<class KernelName_vGKFactgrkngMXd, int>(
+      ~0, ext::oneapi::bit_and<int>(), 7, 3);
+  testBoth<class KernelName_GLpknSBxclKWjm, int>(
+      (std::numeric_limits<int>::max)(), ext::oneapi::minimum<int>(), 7, 3);
+  testBoth<class KernelName_EvOaOYQ, int>((std::numeric_limits<int>::min)(),
+                                          ext::oneapi::maximum<int>(), 7, 3);
+
+  testBoth<class KernelName_iFbcoTtPeDtUEK, float>(
+      0, ext::oneapi::plus<float>(), 1, 7);
+  testBoth<class KernelName_PEMJanstdNezDSXnP, float>(
+      1, std::multiplies<float>(), 1, 7);
+  testBoth<class KernelName_wOEuftXSjCLpoTOMrYHR, float>(
+      getMaximumFPValue<float>(), ext::oneapi::minimum<float>(), 7, 3);
+  testBoth<class KernelName_HzFCIZQKeV, float>(
+      getMinimumFPValue<float>(), ext::oneapi::maximum<float>(), 7, 3);
+
+  testUnknown<class KernelName_sJOZPgFeiALyqwIWnFP, CustomVec<float>, 0,
+              CustomVecPlus<float>>(CustomVec<float>(0), CustomVecPlus<float>(),
+                                    CustomVec<float>(1), CustomVec<float>(7));
+  testUnknown<class KernelName_jMA, CustomVec<float>, 1>(
+      CustomVec<float>(0), CustomVecPlus<float>(), CustomVec<float>(1),
+      CustomVec<float>(7));
+
+  testUnknown<class KernelName_zhF, int, 0>(
+      0, [](auto a, auto b) { return a | b; }, 1, 8);
+
+  int2 IdentityI2 = {0, 0};
+  int2 AI2 = {1, 2};
+  int2 BI2 = {7, 13};
+  testUnknown<class KNI2, int2, 0>(IdentityI2, ext::oneapi::plus<int2>(), AI2,
+                                   BI2);
+
+  float4 IdentityF4 = {0, 0, 0, 0};
+  float4 AF4 = {1, 2, -1, -34};
+  float4 BF4 = {7, 13, 0, 35};
+  testUnknown<class KNF4, float4, 0>(IdentityF4, ext::oneapi::plus<>(), AF4,
+                                     BF4);
+
+  std::cout << "Test passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_dynamic_span.cpp b/sycl/test-e2e/Reduction/reduction_dynamic_span.cpp
new file mode 100644
index 0000000000000..8fb33d86755da
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_dynamic_span.cpp
@@ -0,0 +1,12 @@
+// RUN: not %clangxx -fsycl -fsyntax-only -fsycl-targets=%sycl_triple %s -o %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+
+  // SYCL 2020 reductions cannot be created from spans with dynamic extents
+  auto Span = span<int, dynamic_extent>(nullptr, 1);
+  auto Redu = reduction(Span, plus<>());
+}
diff --git a/sycl/test-e2e/Reduction/reduction_internal.cpp b/sycl/test-e2e/Reduction/reduction_internal.cpp
new file mode 100644
index 0000000000000..d87a6e8b621e0
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_internal.cpp
@@ -0,0 +1,147 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <int Dims> auto get_global_range(range<Dims> Range) { return Range; }
+template <int Dims> auto get_global_range(nd_range<Dims> NDRange) {
+  return NDRange.get_global_range();
+}
+
+template <int Dims, bool WithOffset>
+auto get_global_id(item<Dims, WithOffset> Item) {
+  return Item.get_id();
+}
+template <int Dims> auto get_global_id(nd_item<Dims> NDItem) {
+  return NDItem.get_global_id();
+}
+
+template <int Dims> auto get_global_id(id<Dims> Id) { return Id; }
+
+// We can select strategy explicitly so no need to test all combinations of
+// types/operations.
+using T = int;
+using BinOpTy = std::plus<T>;
+
+// On Windows, allocating new memory and then initializing it is slow for some
+// reason (not related to reductions). Try to re-use the same memory between
+// test cases.
+struct RedStorage {
+  RedStorage(queue &q) : q(q), Ptr(malloc_device<T>(1, q)), Buf(1) {}
+  ~RedStorage() { free(Ptr, q); }
+
+  template <bool UseUSM> auto get() {
+    if constexpr (UseUSM)
+      return Ptr;
+    else
+      return Buf;
+  }
+  queue &q;
+  T *Ptr;
+  buffer<T, 1> Buf;
+};
+
+template <bool UseUSM, bool InitToIdentity,
+          detail::reduction::strategy Strategy, typename RangeTy>
+static void test(RedStorage &Storage, RangeTy Range) {
+  queue &q = Storage.q;
+
+  T Init{19};
+
+  auto Red = Storage.get<UseUSM>();
+  auto GetRedAcc = [&](handler &cgh) {
+    if constexpr (UseUSM)
+      return Red;
+    else
+      return accessor{Red, cgh};
+  };
+
+  q.submit([&](handler &cgh) {
+     auto RedAcc = GetRedAcc(cgh);
+     cgh.single_task([=]() { RedAcc[0] = Init; });
+   }).wait();
+
+  q.submit([&](handler &cgh) {
+     auto RedSycl = [&]() {
+       if constexpr (UseUSM)
+         if constexpr (InitToIdentity)
+           return reduction(Red, BinOpTy{},
+                            property::reduction::initialize_to_identity{});
+         else
+           return reduction(Red, BinOpTy{});
+       else if constexpr (InitToIdentity)
+         return reduction(Red, cgh, BinOpTy{},
+                          property::reduction::initialize_to_identity{});
+       else
+         return reduction(Red, cgh, BinOpTy{});
+     }();
+     detail::reduction_parallel_for<detail::auto_name, Strategy>(
+         cgh, Range, ext::oneapi::experimental::detail::empty_properties_t{},
+         RedSycl, [=](auto Item, auto &Red) { Red.combine(T{1}); });
+   }).wait();
+
+  auto *Result = malloc_shared<T>(1, q);
+  q.submit([&](handler &cgh) {
+     auto RedAcc = GetRedAcc(cgh);
+     cgh.single_task([=]() { *Result = RedAcc[0]; });
+   }).wait();
+
+  auto N = get_global_range(Range).size();
+  int Expected = InitToIdentity ? N : Init + N;
+#if defined(__PRETTY_FUNCTION__)
+  std::cout << __PRETTY_FUNCTION__;
+#elif defined(__FUNCSIG__)
+  std::cout << __FUNCSIG__;
+#endif
+  std::cout << ": " << *Result << ", expected " << Expected << std::endl;
+  assert(*Result == Expected);
+
+  free(Result, q);
+}
+
+template <int... Inds, class F>
+void loop_impl(std::integer_sequence<int, Inds...>, F &&f) {
+  (f(std::integral_constant<int, Inds>{}), ...);
+}
+
+template <int count, class F> void loop(F &&f) {
+  loop_impl(std::make_integer_sequence<int, count>{}, std::forward<F>(f));
+}
+
+template <bool UseUSM, bool InitToIdentity, typename RangeTy>
+void testAllStrategies(RedStorage &Storage, RangeTy Range) {
+  loop<(int)detail::reduction::strategy::multi>([&](auto Id) {
+    constexpr auto Strategy =
+        // Skip auto_select == 0.
+        detail::reduction::strategy{decltype(Id)::value + 1};
+    test<UseUSM, InitToIdentity, Strategy>(Storage, Range);
+  });
+}
+
+int main() {
+  queue q;
+  RedStorage Storage(q);
+
+  auto TestRange = [&](auto Range) {
+    testAllStrategies<true, true>(Storage, Range);
+    testAllStrategies<true, false>(Storage, Range);
+    testAllStrategies<false, true>(Storage, Range);
+    testAllStrategies<false, false>(Storage, Range);
+  };
+
+  TestRange(range<1>{42});
+  TestRange(range<2>{8, 8});
+  TestRange(range<3>{7, 7, 5});
+  TestRange(nd_range<1>{range<1>{7}, range<1>{7}});
+  TestRange(nd_range<1>{range<1>{3 * 3}, range<1>{3}});
+
+  // TODO: Strategies historically adopted from sycl::range implementation only
+  // support 1-Dim case.
+  //
+  // TestRange(nd_range<2>{range<2>{7, 3}, range<2> {7, 3}});
+  // TestRange(nd_range<2>{range<2>{14, 9}, range<2> {7, 3}});
+  return 0;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_N_queue_shortcut.cpp b/sycl/test-e2e/Reduction/reduction_nd_N_queue_shortcut.cpp
new file mode 100644
index 0000000000000..2e1c87a10d4f6
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_N_queue_shortcut.cpp
@@ -0,0 +1,133 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// Group algorithms are not supported on NVidia.
+// XFAIL: hip_nvidia
+
+// This test only checks that the method queue::parallel_for() accepting
+// reduction, can be properly translated into queue::submit + parallel_for().
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+enum TestCase { NoDependencies, Dependency, DependenciesVector };
+
+template <typename T> T *allocUSM(queue &Q, size_t Size) {
+  if (!Q.get_device().has(getUSMAspect(usm::alloc::shared)))
+    return nullptr;
+
+  return malloc_shared<T>(Size, Q);
+}
+
+template <typename RangeT>
+void printNVarsTestLabel(const RangeT &Range, bool ToCERR = false) {
+  std::ostream &OS = ToCERR ? std::cerr : std::cout;
+  OS << (ToCERR ? "Error" : "Start") << ", Range=" << Range;
+  if (!ToCERR)
+    OS << std::endl;
+}
+
+template <typename T1, typename T2, TestCase TC, int Dims, typename BOpT1,
+          typename BOpT2>
+int test(queue &Q, BOpT1 BOp1, BOpT2 BOp2, const nd_range<Dims> &Range) {
+  printNVarsTestLabel(Range);
+
+  size_t NElems = Range.get_global_range().size();
+  T1 *Sum1 = allocUSM<T1>(Q, 1);
+  T2 *Sum2 = allocUSM<T2>(Q, 1);
+  T1 *Arr1 = allocUSM<T1>(Q, NElems);
+  T2 *Arr2 = allocUSM<T2>(Q, NElems);
+  if (!Sum1 || !Sum2 || !Arr1 || !Arr2) {
+    sycl::free(Sum1, Q);
+    sycl::free(Sum2, Q);
+    sycl::free(Arr1, Q);
+    sycl::free(Arr2, Q);
+    std::cout << " SKIPPED due to unrelated problems with USM" << std::endl;
+    return 0;
+  }
+
+  *Sum2 = 0;
+  auto R1 = sycl::reduction(
+      Sum1, BOp1, property_list(property::reduction::initialize_to_identity{}));
+  auto R2 = sycl::reduction(Sum2, static_cast<T2>(0), BOp2);
+
+  if constexpr (TC == TestCase::NoDependencies) {
+    std::fill(Arr1, Arr1 + NElems, 1);
+    std::fill(Arr2, Arr2 + NElems, 2);
+    Q.parallel_for(Range, R1, R2,
+                   [=](nd_item<Dims> It, auto &Sum1, auto &Sum2) {
+                     size_t LinId = It.get_global_linear_id();
+                     Sum1.combine(static_cast<T1>(LinId) + Arr1[LinId]);
+                     Sum2.combine(static_cast<T2>(LinId) + Arr2[LinId]);
+                   })
+        .wait();
+  } else if constexpr (TC == TestCase::Dependency) {
+    auto E1 = Q.fill<T1>(Arr1, 1, NElems);
+    auto E2 = Q.fill<T2>(Arr2, 2, NElems, E1);
+    Q.parallel_for(Range, E2, R1, R2,
+                   [=](nd_item<Dims> It, auto &Sum1, auto &Sum2) {
+                     size_t LinId = It.get_global_linear_id();
+                     Sum1.combine(static_cast<T1>(LinId) + Arr1[LinId]);
+                     Sum2.combine(static_cast<T2>(LinId) + Arr2[LinId]);
+                   })
+        .wait();
+  } else {
+    auto E1 = Q.fill<T1>(Arr1, 1, NElems);
+    auto E2 = Q.fill<T2>(Arr2, 2, NElems);
+    std::vector<event> EVec{E1, E2};
+    Q.parallel_for(Range, EVec, R1, R2,
+                   [=](nd_item<Dims> It, auto &Sum1, auto &Sum2) {
+                     size_t LinId = It.get_global_linear_id();
+                     Sum1.combine(static_cast<T1>(LinId) + Arr1[LinId]);
+                     Sum2.combine(static_cast<T2>(LinId) + Arr2[LinId]);
+                   })
+        .wait();
+  }
+
+  T1 ExpectedSum1 = NElems + (NElems - 1) * NElems / 2;
+  T2 ExpectedSum2 = 2 * NElems + (NElems - 1) * NElems / 2;
+  std::string AddInfo = "TestCase=";
+  int Error = checkResults(Q, BOp1, Range, *Sum1, ExpectedSum1,
+                           AddInfo + std::to_string(1));
+  Error += checkResults(Q, BOp2, Range, *Sum2, ExpectedSum2,
+                        AddInfo + std::to_string(2));
+
+  sycl::free(Sum1, Q);
+  sycl::free(Sum2, Q);
+  sycl::free(Arr1, Q);
+  sycl::free(Arr2, Q);
+  return Error;
+}
+
+template <typename T1, typename T2, int Dims, typename BinaryOperation1,
+          typename BinaryOperation2>
+int tests(queue &Q, BinaryOperation1 BOp1, BinaryOperation2 BOp2,
+          const nd_range<Dims> &Range) {
+  int NumErrors = 0;
+  NumErrors += test<T1, T2, TestCase::NoDependencies>(Q, BOp1, BOp2, Range);
+  NumErrors += test<T1, T2, TestCase::Dependency>(Q, BOp1, BOp2, Range);
+  NumErrors += test<T1, T2, TestCase::DependenciesVector>(Q, BOp1, BOp2, Range);
+  return NumErrors;
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  int NumErrors = 0;
+  auto LambdaSum = [](auto X, auto Y) { return (X + Y); };
+
+  NumErrors +=
+      tests<int, short>(Q, std::plus<>{}, LambdaSum, nd_range<1>{32, 16});
+  NumErrors += tests<int, short>(Q, std::plus<>{}, LambdaSum,
+                                 nd_range<2>{range<2>{4, 4}, range<2>{2, 2}});
+  NumErrors +=
+      tests<int, short>(Q, std::plus<>{}, LambdaSum,
+                        nd_range<3>{range<3>{4, 4, 3}, range<3>{1, 2, 3}});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_N_vars.cpp b/sycl/test-e2e/Reduction/reduction_nd_N_vars.cpp
new file mode 100644
index 0000000000000..5b72d6ce3464c
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_N_vars.cpp
@@ -0,0 +1,201 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test checks handling of parallel_for() accepting nd_range and
+// two or more reductions.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+template <typename... Ts> class KNameGroup;
+template <typename T, bool B> class KName;
+
+constexpr access::mode RW = access::mode::read_write;
+constexpr access::mode DW = access::mode::discard_write;
+
+template <typename RangeT>
+void printNVarsTestLabel(const RangeT &Range, bool ToCERR = false) {
+  std::ostream &OS = ToCERR ? std::cerr : std::cout;
+  OS << (ToCERR ? "Error" : "Start") << ", Range=" << Range;
+  if (!ToCERR)
+    OS << std::endl;
+}
+
+template <typename T, bool IsUsm, usm::alloc AllocType> auto InitOut(queue &Q) {
+  if constexpr (IsUsm)
+    return malloc<T>(1, Q, AllocType);
+  else
+    return buffer<T, 1>{1};
+}
+
+template <class T, class BinaryOperation, bool IsUSM,
+          usm::alloc AllocType = usm::alloc::unknown,
+          class PropListTy = property_list>
+struct Red {
+  Red(queue &Q, size_t NWorkItems, T IdentityVal, T InitVal,
+      BinaryOperation BOp, PropListTy PropList = {})
+      : Q(Q), NWorkItems(NWorkItems), IdentityVal(IdentityVal),
+        InitVal(InitVal), BOp(BOp), PropList(PropList), InBuf(NWorkItems),
+        Mem(InitOut<T, IsUSM, AllocType>(Q)) {}
+
+  ~Red() {
+    if constexpr (IsUSM) {
+      free(Mem, Q);
+    }
+  }
+
+  void init() {
+    initInputData(InBuf, CorrectOut, BOp, NWorkItems);
+    if (!PropList.template has_property<
+            property::reduction::initialize_to_identity>())
+      CorrectOut = BOp(CorrectOut, InitVal);
+
+    if constexpr (IsUSM) {
+      if constexpr (AllocType == usm::alloc::device) {
+        Q.single_task([InitVal = this->InitVal, Mem = this->Mem]() {
+           *Mem = InitVal;
+         }).wait();
+      } else {
+        *Mem = InitVal;
+      }
+    } else {
+      host_accessor Acc(Mem, sycl::write_only);
+      Acc[0] = InitVal;
+    }
+  }
+
+  auto createRed(handler &CGH) {
+    if constexpr (IsUSM)
+      return reduction(Mem, IdentityVal, BOp, PropList);
+    else
+      return reduction(Mem, CGH, IdentityVal, BOp, PropList);
+  }
+
+  int checkResult(nd_range<1> NDR) {
+    auto Out = [this]() {
+      if constexpr (IsUSM) {
+        if constexpr (AllocType == usm::alloc::device) {
+          buffer<T, 1> B(1);
+          Q.submit([&](handler &CGH) {
+            accessor A(B, CGH, sycl::write_only);
+            CGH.copy(Mem, A);
+          });
+          return host_accessor{B}[0];
+        } else {
+          return *Mem;
+        }
+      } else {
+        return host_accessor{Mem}[0];
+      }
+    }();
+    return checkResults(Q, BOp, NDR, Out, CorrectOut);
+  }
+
+  queue &Q;
+  size_t NWorkItems;
+  T IdentityVal;
+  T InitVal;
+  BinaryOperation BOp;
+  PropListTy PropList;
+  buffer<T, 1> InBuf;
+  T CorrectOut;
+  std::conditional_t<IsUSM, T *, buffer<T, 1>> Mem;
+};
+
+template <bool IsUSM, usm::alloc AllocType = usm::alloc::unknown>
+struct RedFactory {
+  template <class T, class BinaryOperation, class PropListTy = property_list>
+  auto get(queue &Q, size_t NWorkItems, T IdentityVal, T InitVal,
+           BinaryOperation BOp, PropListTy PropList = {}) {
+    return Red<T, BinaryOperation, IsUSM, AllocType, PropListTy>(
+        Q, NWorkItems, IdentityVal, InitVal, BOp, PropList);
+  }
+};
+
+template <class Name, class... RedTys>
+int test(queue &Q, size_t NWorkItems, size_t WGSize, RedTys... Reds) {
+  auto NDR = nd_range<1>{range<1>(NWorkItems), range<1>{WGSize}};
+  printNVarsTestLabel<>(NDR);
+
+  (Reds.init(), ...);
+
+  Q.submit([&](handler &CGH) {
+     auto InAcc = sycl::detail::make_tuple(
+         accessor(Reds.InBuf, CGH, sycl::read_only)...);
+     auto SyclReds = std::forward_as_tuple(Reds.createRed(CGH)...);
+     std::apply(
+         [&](auto... SyclReds) {
+           CGH.parallel_for<Name>(
+               NDR, SyclReds..., [=](nd_item<1> NDIt, auto &...Reducers) {
+                 static_assert(sizeof...(Reducers) == 4 ||
+                               sizeof...(Reducers) == 2);
+                 // No C++20, so don't have explicit template param lists in
+                 // lambda and can't unfold std::integer_sequence to write
+                 // generic code here.
+                 auto ReducersTuple = std::forward_as_tuple(Reducers...);
+                 size_t I = NDIt.get_global_id(0);
+
+                 std::get<0>(ReducersTuple).combine(std::get<0>(InAcc)[I]);
+                 std::get<1>(ReducersTuple).combine(std::get<1>(InAcc)[I]);
+                 if constexpr (sizeof...(Reds) == 4) {
+                   std::get<2>(ReducersTuple).combine(std::get<2>(InAcc)[I]);
+                   std::get<3>(ReducersTuple).combine(std::get<3>(InAcc)[I]);
+                 }
+
+                 return;
+               });
+         },
+         SyclReds);
+   }).wait();
+
+  int NumErrors = (0 + ... + Reds.checkResult(NDR));
+  return NumErrors;
+}
+
+int main() {
+  queue Q;
+  auto Dev = Q.get_device();
+  printDeviceInfo(Q);
+
+  constexpr bool UseBuf = false;
+  constexpr bool UseUSM = true;
+  int Error = 0;
+
+  size_t GSize = 16;
+  size_t WGSize = 16;
+  if (Dev.get_info<info::device::usm_shared_allocations>())
+    Error += test<class Case1>(
+        Q, GSize, WGSize,
+        RedFactory<UseBuf>{}.get<float>(Q, GSize, 0, 1000, std::plus<>{},
+                                        init_to_identity()),
+        RedFactory<UseBuf>{}.get<int>(Q, GSize, 0, 2000, std::plus<>{}),
+        RedFactory<UseBuf>{}.get<short>(Q, GSize, 0, 4000, std::bit_or<>{}),
+        RedFactory<UseUSM, usm::alloc::shared>{}.get<int>(Q, GSize, 0, 8000,
+                                                          std::bit_xor<>{}));
+
+  GSize = 5 * (256 + 1);
+  WGSize = 5;
+  auto Add = [](auto x, auto y) { return (x + y); };
+  if (Dev.get_info<info::device::usm_device_allocations>())
+    Error += test<class Case2>(
+        Q, GSize, WGSize,
+        RedFactory<UseBuf>{}.get<float>(Q, GSize, 0, 1000, std::plus<>{}),
+        RedFactory<UseBuf>{}.get<int>(Q, GSize, 0, 2000, std::plus<>{}),
+        RedFactory<UseBuf>{}.get<short>(Q, GSize, 0, 4000, Add,
+                                        init_to_identity()),
+        RedFactory<UseUSM, usm::alloc::device>{}.get<int>(
+            Q, GSize, 0, 8000, std::plus<>{}, init_to_identity()));
+
+  // Use buffers only to verify same mangled kernel name isn't used twice inside
+  // implementation.
+  Error += test<class Case3>(
+      Q, GSize, WGSize,
+      RedFactory<UseBuf>{}.get<float>(Q, GSize, 0, 1000, std::plus<>{}),
+      RedFactory<UseBuf>{}.get<int>(Q, GSize, 0, 2000, std::plus<>{}));
+
+  printFinalStatus(Error);
+  return Error;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_conditional.cpp b/sycl/test-e2e/Reduction/reduction_nd_conditional.cpp
new file mode 100644
index 0000000000000..97d0e3f2b3dd9
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_conditional.cpp
@@ -0,0 +1,81 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Error message `The implementation handling
+// parallel_for with reduction requires work group size not bigger than 1` on
+// Nvidia.
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// with reduction and conditional increment of the reduction variable.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+template <typename T, class BinaryOperation>
+void initInputData(buffer<T, 1> &InBuf, T &ExpectedOut, T Identity,
+                   BinaryOperation BOp, size_t N) {
+  ExpectedOut = Identity;
+  auto In = InBuf.template get_access<access::mode::write>();
+  for (int I = 0; I < N; ++I) {
+    In[I] = I + 1;
+
+    if (I < 2)
+      ExpectedOut = BOp(ExpectedOut, 99);
+    else if (I % 3)
+      ExpectedOut = BOp(ExpectedOut, In[I]);
+    else
+      ; // do nothing.
+  }
+};
+
+template <typename Name, typename T, class BinaryOperation>
+int test(queue &Q, T Identity, size_t WGSize, size_t NWItems) {
+  buffer<T, 1> InBuf(NWItems);
+  buffer<T, 1> OutBuf(1);
+
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  printTestLabel<T, BinaryOperation>(NDRange);
+
+  // Initialize.
+  BinaryOperation BOp;
+  T CorrectOut;
+  initInputData(InBuf, CorrectOut, Identity, BOp, NWItems);
+  (OutBuf.template get_access<access::mode::write>())[0] = Identity;
+
+  // Compute.
+  Q.submit([&](handler &CGH) {
+    auto In = InBuf.template get_access<access::mode::read>(CGH);
+    auto Redu = sycl::reduction(OutBuf, CGH, Identity, BOp);
+    CGH.parallel_for<Name>(NDRange, Redu, [=](nd_item<1> NDIt, auto &Sum) {
+      size_t I = NDIt.get_global_linear_id();
+      if (I < 2)
+        Sum.combine(T(99));
+      else if (I % 3)
+        Sum.combine(In[I]);
+      else
+        ; // do nothing.
+    });
+  });
+
+  // Check correctness.
+  auto Out = OutBuf.template get_access<access::mode::read>();
+  T ComputedOut = *(Out.get_pointer());
+  return checkResults(Q, BOp, NDRange, ComputedOut, CorrectOut);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  int NumErrors = 0;
+  NumErrors += test<class A, unsigned char, std::plus<>>(Q, 0, 2, 2);
+  NumErrors += test<class B, short, std::plus<>>(Q, 0, 7, 7);
+  NumErrors += test<class C, int, std::plus<>>(Q, 0, 1, 1025);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_dw.cpp b/sycl/test-e2e/Reduction/reduction_nd_dw.cpp
new file mode 100644
index 0000000000000..5670da10ab28f
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_dw.cpp
@@ -0,0 +1,57 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Group algorithms are not supported on Nvidia.
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// with reductions initialized with a one element buffer and
+// initialize_to_identity property.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp, size_t WGSize,
+           size_t NWItems) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  NumErrors += test<Name>(Q, Identity, Init, BOp, NDRange, init_to_identity());
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  // Check some non power-of-two work-group sizes.
+  tests<class A1, int>(Q, 0, 99, std::plus<int>{}, 1, 7);
+  tests<class A2, int>(Q, 0, 99, std::plus<int>{}, 49, 49 * 5);
+
+  // Try some power-of-two work-group sizes.
+  tests<class B1, int>(Q, 0, 99, std::plus<>{}, 1, 32);
+  tests<class B2, int>(Q, 1, 99, std::multiplies<>{}, 4, 32);
+  tests<class B3, int>(Q, 0, 99, std::bit_or<>{}, 8, 128);
+  tests<class B4, int>(Q, 0, 99, std::bit_xor<>{}, 16, 256);
+  tests<class B5, int>(Q, ~0, 99, std::bit_and<>{}, 32, 256);
+  tests<class B6, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, 64, 256);
+  tests<class B7, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, 128, 256);
+  tests<class B8, int>(Q, 0, 99, std::plus<>{}, 256, 256);
+
+  // Check with various types.
+  tests<class C1, float>(Q, 1, 99, std::multiplies<>{}, 8, 24);
+  tests<class C2, short>(Q, 0x7fff, -99, ext::oneapi::minimum<>{}, 8, 256);
+  tests<class C3, unsigned char>(Q, 0, 99, ext::oneapi::maximum<>{}, 8, 256);
+
+  // Check with CUSTOM type.
+  using CV = CustomVec<long long>;
+  tests<class D1, CV>(Q, CV(0), CV(99), CustomVecPlus<long long>{}, 8, 256);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_ext_double.cpp b/sycl/test-e2e/Reduction/reduction_nd_ext_double.cpp
new file mode 100644
index 0000000000000..c8469ac3d0cdc
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_ext_double.cpp
@@ -0,0 +1,17 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Error
+// message `The implementation handling parallel_for with reduction requires
+// work group size not bigger than 1` on Nvidia.
+
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// used with 'double' type.
+
+#include "reduction_nd_ext_type.hpp"
+
+int main() { return runTests<double>(sycl::aspect::fp64); }
diff --git a/sycl/test-e2e/Reduction/reduction_nd_ext_half.cpp b/sycl/test-e2e/Reduction/reduction_nd_ext_half.cpp
new file mode 100644
index 0000000000000..c6fea9e388b04
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_ext_half.cpp
@@ -0,0 +1,16 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_GroupFAdd, __spirv_GroupFMin, __spirv_GroupFMax on AMD, error
+// message `The implementation handling parallel_for with reduction requires
+// work group size not bigger than 1` on Nvidia.
+// XFAIL: hip_amd || hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// used with 'half' type.
+
+#include "reduction_nd_ext_type.hpp"
+
+int main() { return runTests<sycl::half>(sycl::aspect::fp16); }
diff --git a/sycl/test-e2e/Reduction/reduction_nd_ext_type.hpp b/sycl/test-e2e/Reduction/reduction_nd_ext_type.hpp
new file mode 100644
index 0000000000000..5fa320389f47e
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_ext_type.hpp
@@ -0,0 +1,49 @@
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// with types that may require additional runtime checks for extensions
+// supported by the device, e.g. 'half' or 'double'
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation,
+          typename PropListTy = property_list>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp, size_t WGSize,
+           size_t NWItems, PropListTy PropList = {}) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  NumErrors += test<Name>(Q, Identity, Init, BOp, NDRange, PropList);
+}
+
+template <typename T> int runTests(sycl::aspect ExtAspect) {
+  queue Q;
+  printDeviceInfo(Q);
+  device D = Q.get_device();
+  if (!D.has(ExtAspect)) {
+    std::cout << "Test skipped\n";
+    return 0;
+  }
+
+  constexpr access::mode RW = access::mode::read_write;
+  constexpr access::mode DW = access::mode::discard_write;
+
+  tests<class A1, T>(Q, 1, 77, std::multiplies<T>{}, 4, 4, init_to_identity());
+  tests<class A2, T>(Q, 1, 77, std::multiplies<T>{}, 4, 8);
+
+  tests<class B1, T>(Q, 0, 77, std::plus<T>{}, 4, 32, init_to_identity());
+  tests<class B2, T>(Q, 0, 33, std::plus<T>{}, 3, 3 * 5);
+
+  tests<class C1, T>(Q, getMaximumFPValue<T>(), -10.0,
+                     ext::oneapi::minimum<T>{}, 7, 7 * 512, init_to_identity());
+  tests<class C2, T>(Q, getMaximumFPValue<T>(), 99.0, ext::oneapi::minimum<T>{},
+                     7, 7);
+
+  tests<class D1, T>(Q, getMinimumFPValue<T>(), 99.0, ext::oneapi::maximum<>{},
+                     3, 3, init_to_identity());
+  tests<class D2, T>(Q, getMinimumFPValue<T>(), 99.0, ext::oneapi::maximum<>{},
+                     7, 7 * 5);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_lambda.cpp b/sycl/test-e2e/Reduction/reduction_nd_lambda.cpp
new file mode 100644
index 0000000000000..a85fe4c6e5769
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_lambda.cpp
@@ -0,0 +1,48 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Inconsistently fails on HIP AMD, HIP Nvidia.
+// UNSUPPORTED: hip_amd || hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, lambda)
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+template <typename T, access::mode M> class MName;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp, size_t WGSize,
+           size_t NWItems) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  NumErrors += test<KName<Name, true>>(Q, Identity, Init, BOp, NDRange);
+  NumErrors += test<KName<Name, false>>(Q, Identity, Init, BOp, NDRange,
+                                        init_to_identity());
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  tests<class A1, int>(
+      Q, 0, 9, [](auto x, auto y) { return (x + y); }, 1, 1024);
+  tests<class A2, uint64_t>(
+      Q, 1, 2, [](auto x, auto y) { return (x * y); }, 8, 16);
+
+  // Check with CUSTOM type.
+  using CV = CustomVec<long long>;
+  tests<class A3, CV>(
+      Q, CV(0), CV(2021),
+      [](auto X, auto Y) {
+        CustomVecPlus<long long> BOp;
+        return BOp(X, Y);
+      },
+      4, 64);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_queue_shortcut.cpp b/sycl/test-e2e/Reduction/reduction_nd_queue_shortcut.cpp
new file mode 100644
index 0000000000000..c449445c65cab
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_queue_shortcut.cpp
@@ -0,0 +1,91 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// Group algorithms are not supported on NVidia.
+// XFAIL: hip_nvidia
+
+// This test only checks that the method queue::parallel_for() accepting
+// reduction, can be properly translated into queue::submit + parallel_for().
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+enum TestCase { NoDependencies, Dependency, DependenciesVector };
+
+template <typename T> T *allocUSM(queue &Q, size_t Size) {
+  if (!Q.get_device().has(getUSMAspect(usm::alloc::shared)))
+    return nullptr;
+
+  return malloc_shared<T>(Size, Q);
+}
+
+template <typename T, TestCase TC, int Dims, typename BinaryOperation>
+int test(queue &Q, BinaryOperation BOp, const nd_range<Dims> &Range) {
+  printTestLabel<T, BinaryOperation>(Range);
+
+  size_t NElems = Range.get_global_range().size();
+  T *Sum = allocUSM<T>(Q, 1);
+  T *Arr = allocUSM<T>(Q, NElems);
+  if (!Sum || !Arr) {
+    std::cout << " SKIPPED due to unrelated problems with USM" << std::endl;
+    sycl::free(Sum, Q);
+    sycl::free(Arr, Q);
+    return 0;
+  }
+
+  auto Redu = sycl::reduction(
+      Sum, BOp, property_list(property::reduction::initialize_to_identity{}));
+  if constexpr (TC == TestCase::NoDependencies) {
+    std::fill(Arr, Arr + NElems, 1);
+    Q.parallel_for(Range, Redu, [=](nd_item<Dims> It, auto &Sum) {
+       size_t LinId = It.get_global_linear_id();
+       Sum.combine(static_cast<T>(LinId) + Arr[LinId]);
+     }).wait();
+  } else if constexpr (TC == TestCase::Dependency) {
+    auto E = Q.fill<T>(Arr, 1, NElems);
+    Q.parallel_for(Range, E, Redu, [=](nd_item<Dims> It, auto &Sum) {
+       size_t LinId = It.get_global_linear_id();
+       Sum.combine(static_cast<T>(LinId) + Arr[LinId]);
+     }).wait();
+  } else {
+    auto E = Q.fill<T>(Arr, 1, NElems);
+    std::vector<event> EVec{E};
+    Q.parallel_for(Range, EVec, Redu, [=](nd_item<Dims> It, auto &Sum) {
+       size_t LinId = It.get_global_linear_id();
+       Sum.combine(static_cast<T>(LinId) + Arr[LinId]);
+     }).wait();
+  }
+
+  T ExpectedSum = NElems + (NElems - 1) * NElems / 2;
+  int Error = checkResults(Q, BOp, Range, *Sum, ExpectedSum);
+  free(Sum, Q);
+  free(Arr, Q);
+  return Error;
+}
+
+template <typename T, int Dims, typename BinaryOperation>
+int tests(queue &Q, BinaryOperation BOp, const nd_range<Dims> &Range) {
+  int NumErrors = 0;
+  NumErrors += test<T, TestCase::NoDependencies>(Q, BOp, Range);
+  NumErrors += test<T, TestCase::Dependency>(Q, BOp, Range);
+  NumErrors += test<T, TestCase::DependenciesVector>(Q, BOp, Range);
+  return NumErrors;
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  int NumErrors = 0;
+  NumErrors += tests<int>(Q, std::plus<>{}, nd_range<1>{32, 16});
+  NumErrors +=
+      tests<int>(Q, std::plus<>{}, nd_range<2>{range<2>{4, 4}, range<2>{2, 2}});
+  NumErrors += tests<int>(Q, std::plus<>{},
+                          nd_range<3>{range<3>{4, 4, 3}, range<3>{1, 2, 3}});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_nd_rw.cpp b/sycl/test-e2e/Reduction/reduction_nd_rw.cpp
new file mode 100644
index 0000000000000..1375cc3e2d240
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_nd_rw.cpp
@@ -0,0 +1,76 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// `Group algorithms are not supported on host device.` on Nvidia.
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// with reductions initialized with a one element buffer.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp, size_t WGSize,
+           size_t NWItems) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  NumErrors += test<Name>(Q, Identity, Init, BOp, NDRange);
+}
+
+template <typename Name, typename T, class BinaryOperation>
+void tests(queue &Q, T Init, BinaryOperation BOp, size_t WGSize,
+           size_t NWItems) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  NumErrors += test<Name>(Q, Init, BOp, NDRange);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  // Check non power-of-two work-group sizes.
+  tests<class A1, int>(Q, 0, 99, std::plus<int>{}, 1, 7);
+  tests<class A2, int>(Q, 0, -99, std::plus<int>{}, 49, 49 * 5);
+
+  // Try some power-of-two work-group sizes.
+  tests<class B1, int>(Q, 0, 99, std::plus<>{}, 2, 32);
+  tests<class B2, int>(Q, 0, 199, std::plus<>{}, 32, 32);
+  tests<class B3, int>(Q, 0, 299, std::plus<>{}, 128, 256);
+  tests<class B4, int>(Q, 0, 399, std::plus<>{}, 256, 256);
+
+  // Check with various operations and types.
+  tests<class C1, int>(Q, 0, 99, std::plus<>{}, 1, 32);
+  tests<class C2, int>(Q, 0, 99, std::bit_or<>{}, 8, 128);
+  tests<class C3, int>(Q, 0, 99, std::bit_xor<>{}, 16, 256);
+  tests<class C4, int>(Q, ~0, 99, std::bit_and<>{}, 32, 256);
+  tests<class C5, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, 64, 256);
+  tests<class C6, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, 128, 256);
+  tests<class C7, int>(Q, 0, 99, std::plus<>{}, 256, 256);
+  tests<class C8, int>(Q, 1, 2, std::multiplies<>{}, 8, 8);
+  tests<class C9, float>(Q, 1, 1.2, std::multiplies<>{}, 8, 16);
+
+  // Check with CUSTOM type.
+  using CV = CustomVec<long long>;
+  tests<class D1, CV>(Q, CV(0), CV(-199), CustomVecPlus<long long>{}, 8, 256);
+  tests<class D2, CV>(Q, CV(-199), CustomVecPlus<long long>{}, 8, 256);
+
+  // Check non power-of-two work-group sizes without identity.
+  tests<class E1, int>(Q, 99, PlusWithoutIdentity<int>{}, 1, 7);
+  tests<class E2, int>(Q, -99, PlusWithoutIdentity<int>{}, 49, 49 * 5);
+
+  // Try some power-of-two work-group sizes without identity.
+  tests<class F1, int>(Q, 99, PlusWithoutIdentity<int>{}, 2, 32);
+  tests<class F2, int>(Q, 199, PlusWithoutIdentity<int>{}, 32, 32);
+  tests<class F3, int>(Q, 299, PlusWithoutIdentity<int>{}, 128, 256);
+  tests<class F4, int>(Q, 399, PlusWithoutIdentity<int>{}, 256, 256);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_1d_dw.cpp b/sycl/test-e2e/Reduction/reduction_range_1d_dw.cpp
new file mode 100644
index 0000000000000..ec8f3d979ae7b
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_1d_dw.cpp
@@ -0,0 +1,65 @@
+// RUN: %clangxx -DENABLE_64_BIT=false -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "reduction_utils.hpp"
+#include <iostream>
+
+// This test performs basic checks of parallel_for(range<1>, reduction, func)
+// with reductions initialized with a one element buffer and
+// an initialize_to_identity property.
+
+using namespace sycl;
+
+constexpr bool Enable64Bit = ENABLE_64_BIT;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp, size_t NWItems) {
+  NumErrors +=
+      test<Name>(Q, Identity, Init, BOp, range<1>{NWItems}, init_to_identity());
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  // Fast-reduce and Fast-atomics. Try various range types/sizes.
+  tests<class A1, int>(Q, 0, 99, std::plus<>{}, 1);
+  tests<class A2, int>(Q, 0, 99, std::plus<>{}, 2);
+  if constexpr (Enable64Bit) {
+    tests<class A3, int64_t>(Q, 0, 99, std::plus<>{}, 7);
+    tests<class A4, int64_t>(Q, 0, 99, std::plus<>{}, 64);
+  }
+  tests<class A5, int>(Q, 0, 99, std::plus<>{}, MaxWGSize * 2);
+  tests<class A6, int>(Q, 0, 99, std::plus<>{}, MaxWGSize * 2 + 5);
+
+  // Try various types & ranges.
+  tests<class B1, int>(Q, ~0, 0xfefefefe, std::bit_and<>{}, 7);
+  tests<class B2, int>(Q, 0, 0xfedcff99, std::bit_xor<>{}, MaxWGSize);
+  tests<class B3, int>(Q, 0, 0xfedcff99, std::bit_or<>{}, 3);
+  tests<class B4, short>(Q, 1, 2, std::multiplies<>{}, 7);
+  tests<class B5, int>(Q, ~0, ~0, std::bit_and<>{}, 8);
+  tests<class B6, int>(Q, 0, 0x12340000, std::bit_xor<>{}, 16);
+  tests<class B7, int>(Q, 0, 0x3400, std::bit_or<>{}, MaxWGSize * 4);
+  if constexpr (Enable64Bit)
+    tests<class B8, uint64_t>(Q, 1, 2, std::multiplies<>{}, 31);
+  tests<class B9, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, MaxWGSize * 2);
+  tests<class B10, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                        ext::oneapi::maximum<>{}, 8);
+  tests<class B11, float>(Q, 1, 99, std::multiplies<>{}, 10);
+
+  // Check with CUSTOM type.
+  using CV = CustomVec<long long>;
+  tests<class C1>(Q, CV(0), CV(99), CustomVecPlus<long long>{}, 64);
+  tests<class C2>(Q, CV(0), CV(99), CustomVecPlus<long long>{}, 256);
+  tests<class C3>(Q, CV(0), CV(99), CustomVecPlus<long long>{}, MaxWGSize * 3);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_1d_dw_64bit.cpp b/sycl/test-e2e/Reduction/reduction_range_1d_dw_64bit.cpp
new file mode 100644
index 0000000000000..d622c2218dc55
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_1d_dw_64bit.cpp
@@ -0,0 +1,9 @@
+// RUN: %clangxx -DENABLE_64_BIT=true -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// TODO: accelerator may not suport atomics required by the current
+// implementation. Once fixed, enable 64bit tests in the main test and remove
+// this file
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "reduction_range_1d_dw.cpp"
diff --git a/sycl/test-e2e/Reduction/reduction_range_1d_rw.cpp b/sycl/test-e2e/Reduction/reduction_range_1d_rw.cpp
new file mode 100644
index 0000000000000..dea1f1adc96bc
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_1d_rw.cpp
@@ -0,0 +1,66 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of parallel_for(range<1>, reduction, func)
+// with reductions initialized with a one element buffer.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, typename... ArgTys>
+void tests(ArgTys &&...Args) {
+  NumErrors += test<Name, T>(std::forward<ArgTys>(Args)...);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  constexpr access::mode RW = access::mode::read_write;
+  // Fast-reduce and Fast-atomics. Try various range types/sizes.
+  tests<class A1, int>(Q, 0, 99, std::plus<int>{}, range<1>(1));
+  tests<class A2, int>(Q, 0, 99, std::plus<>{}, range<1>(2));
+  tests<class A3, int>(Q, 0, 99, std::plus<>{}, range<1>(7));
+  tests<class A4, int>(Q, 0, 99, std::plus<>{}, range<1>(64));
+  tests<class A5, int>(Q, 0, 99, std::plus<>{}, range<1>(MaxWGSize * 2));
+  tests<class A6, int>(Q, 0, 99, std::plus<>{}, range<1>(MaxWGSize * 2 + 5));
+
+  // Try various types & ranges.
+  tests<class B1, int>(Q, ~0, ~0, std::bit_and<>{}, range<1>(8));
+  tests<class B2, int>(Q, 0, 0x12340000, std::bit_xor<>{}, range<1>(16));
+  tests<class B3, int>(Q, 0, 0x3400, std::bit_or<>{}, range<1>(MaxWGSize * 3));
+  tests<class B4, uint64_t>(Q, 1, 2, std::multiplies<>{}, range<1>(16));
+  tests<class B5, float>(Q, 1, 3, std::multiplies<>{}, range<1>(11));
+  tests<class B6, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, range<1>(MaxWGSize * 2));
+  tests<class B7, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, range<1>(8));
+
+  // Check with CUSTOM type.
+  tests<class C1, CustomVec<long long>>(Q, 0, 99, CustomVecPlus<long long>{},
+                                        range<1>(256));
+  tests<class C2, CustomVec<long long>>(Q, 0, 99, CustomVecPlus<long long>{},
+                                        range<1>(MaxWGSize * 3));
+  tests<class C3, CustomVec<long long>>(Q, 99, CustomVecPlus<long long>{},
+                                        range<1>(72));
+
+  // Check with identityless operations.
+  tests<class D1, int>(Q, 99, PlusWithoutIdentity<int>{}, range<1>(1));
+  tests<class D2, int>(Q, 99, PlusWithoutIdentity<int>{}, range<1>(2));
+  tests<class D3, int>(Q, 99, PlusWithoutIdentity<int>{}, range<1>(7));
+  tests<class D4, int>(Q, 99, PlusWithoutIdentity<int>{}, range<1>(64));
+  tests<class D5, int>(Q, 99, PlusWithoutIdentity<int>{},
+                       range<1>(MaxWGSize * 2));
+  tests<class D6, int>(Q, 99, PlusWithoutIdentity<int>{},
+                       range<1>(MaxWGSize * 2 + 5));
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_2d_dw.cpp b/sycl/test-e2e/Reduction/reduction_range_2d_dw.cpp
new file mode 100644
index 0000000000000..1abe9e0d66625
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_2d_dw.cpp
@@ -0,0 +1,55 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO: accelerator may not suport atomics required by the current
+// implementation. Enable testing when implementation is fixed.
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of parallel_for(range<2>, reduction, func)
+// with reductions initialized with a one element buffer and
+// an initialize_to_identity property.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp, range<2> Range) {
+  NumErrors += test<Name>(Q, Identity, Init, BOp, Range, init_to_identity());
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  tests<class A1, int>(Q, 0, 99, std::plus<>{}, range<2>{1, 1});
+  tests<class A2, int>(Q, 0, 99, std::plus<>{}, range<2>{2, 2});
+  tests<class A3, int>(Q, 0, 99, std::plus<>{}, range<2>{2, 3});
+  tests<class A4, int>(Q, 0, 99, std::plus<>{}, range<2>{MaxWGSize, 1});
+  tests<class A5, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{1, MaxWGSize});
+  tests<class A6, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{2, MaxWGSize * 2});
+  tests<class A7, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{MaxWGSize * 3, 7});
+  tests<class A8, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{3, MaxWGSize * 3});
+
+  tests<class B1, int>(Q, 0, 0x2021ff99, std::bit_xor<>{}, range<2>{3, 3});
+  tests<class B2, int>(Q, ~0, 99, std::bit_and<>{}, range<2>{4, 3});
+  tests<class B3, int>(Q, 0, 99, std::bit_or<>{}, range<2>{2, 2});
+  tests<class B4, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<2>{8, 3});
+  tests<class B5, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<2>{3, 7});
+  tests<class B6, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, range<2>{8, 3});
+  tests<class B7, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, range<2>{3, 3});
+  tests<class B8, float>(Q, 1, 99, std::multiplies<>{}, range<2>{3, 3});
+
+  tests<class C1>(Q, CustomVec<long long>(0), CustomVec<long long>(99),
+                  CustomVecPlus<long long>{}, range<2>{33, MaxWGSize});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_2d_rw.cpp b/sycl/test-e2e/Reduction/reduction_range_2d_rw.cpp
new file mode 100644
index 0000000000000..00a250f6ef892
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_2d_rw.cpp
@@ -0,0 +1,70 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO: accelerator may not suport atomics required by the current
+// implementation. Enable testing when implementation is fixed.
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of parallel_for(range<2>, reduction, func)
+// with reductions initialized with a one element buffer.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, typename... ArgTys>
+void tests(ArgTys &&...Args) {
+  NumErrors += test<Name, T>(std::forward<ArgTys>(Args)...);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  tests<class A1, int>(Q, 0, 99, std::plus<>{}, range<2>{1, 1});
+  tests<class A2, int>(Q, 0, 99, std::plus<>{}, range<2>{2, 2});
+  tests<class A3, int>(Q, 0, 99, std::plus<>{}, range<2>{2, 3});
+  tests<class A4, int>(Q, 0, 99, std::plus<>{}, range<2>{MaxWGSize, 1});
+  tests<class A5, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{1, MaxWGSize});
+  tests<class A6, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{2, MaxWGSize * 2});
+  tests<class A7, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{MaxWGSize * 3, 7});
+  tests<class A8, int64_t>(Q, 0, 99, std::plus<>{}, range<2>{3, MaxWGSize * 3});
+
+  tests<class B1, int>(Q, 0, 0x2021ff99, std::bit_xor<>{}, range<2>{3, 3});
+  tests<class B2, int>(Q, ~0, 99, std::bit_and<>{}, range<2>{4, 3});
+  tests<class B3, int>(Q, 0, 99, std::bit_or<>{}, range<2>{2, 2});
+  tests<class B4, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<2>{8, 3});
+  tests<class B5, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<2>{3, 8});
+  tests<class B6, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, range<2>{8, 3});
+  tests<class B7, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, range<2>{3, 3});
+  tests<class B8, float>(Q, 1, 99, std::multiplies<>{}, range<2>{3, 3});
+
+  tests<class C1, CustomVec<long long>>(Q, 0, 99, CustomVecPlus<long long>{},
+                                        range<2>{33, MaxWGSize});
+  tests<class C2, CustomVec<long long>>(Q, 99, CustomVecPlus<long long>{},
+                                        range<2>{33, MaxWGSize});
+
+  tests<class D1, int>(Q, 99, PlusWithoutIdentity<int>{}, range<2>{1, 1});
+  tests<class D2, int>(Q, 99, PlusWithoutIdentity<int>{}, range<2>{2, 2});
+  tests<class D3, int>(Q, 99, PlusWithoutIdentity<int>{}, range<2>{2, 3});
+  tests<class D4, int>(Q, 99, PlusWithoutIdentity<int>{},
+                       range<2>{MaxWGSize, 1});
+  tests<class D5, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<2>{1, MaxWGSize});
+  tests<class D6, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<2>{2, MaxWGSize * 2});
+  tests<class D7, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<2>{MaxWGSize * 3, 7});
+  tests<class D8, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<2>{3, MaxWGSize * 3});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_3d_dw.cpp b/sycl/test-e2e/Reduction/reduction_range_3d_dw.cpp
new file mode 100644
index 0000000000000..aaea970357176
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_3d_dw.cpp
@@ -0,0 +1,67 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO: accelerator may not suport atomics required by the current
+// implementation. Enable testing when implementation is fixed.
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of parallel_for(range<3>, reduction, func)
+// with reductions initialized with a one element buffer and a
+// initialize_to_identity property.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, typename... ArgTys>
+void tests(ArgTys &&...Args) {
+  NumErrors += test<Name, T>(std::forward<ArgTys>(Args)..., init_to_identity());
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  tests<class A1, int>(Q, 0, 99, std::plus<>{}, range<3>{1, 1, 1});
+  tests<class A2, int>(Q, 0, 99, std::plus<>{}, range<3>{2, 2, 2});
+  tests<class A3, int>(Q, 0, 99, std::plus<>{}, range<3>{2, 3, 4});
+
+  tests<class A4, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{1, 1, MaxWGSize + 1});
+  tests<class A5, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{1, MaxWGSize + 1, 1});
+  tests<class A6, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{MaxWGSize + 1, 1, 1});
+
+  tests<class A7, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{2, 5, MaxWGSize * 2});
+  tests<class A8, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{3, MaxWGSize * 3, 2});
+  tests<class A9, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{MaxWGSize * 3, 8, 4});
+
+  tests<class B1, int>(Q, 0, 0x2021ff99, std::bit_xor<>{},
+                       range<3>{2, MaxWGSize * 3, 3});
+  tests<class B2, int>(Q, ~0, 99, std::bit_and<>{},
+                       range<3>{MaxWGSize * 3, 4, 3});
+  tests<class B3, int>(Q, 0, 99, std::bit_or<>{},
+                       range<3>{2, 2, MaxWGSize * 3});
+  tests<class B4, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<3>{2, 3, 5});
+  tests<class B5, uint64_t>(Q, 1, 2, std::multiplies<>{}, range<3>{2, 3, 8});
+  tests<class B6, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, range<3>{MaxWGSize, 8, 3});
+  tests<class B7, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, range<3>{3, MaxWGSize, 3});
+  tests<class B8, float>(Q, 1, 99, std::multiplies<>{}, range<3>{3, 3, 5});
+
+  tests<class C1, CustomVec<long long>>(Q, 0, 99, CustomVecPlus<long long>{},
+                                        range<3>{2, 33, MaxWGSize});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_3d_rw.cpp b/sycl/test-e2e/Reduction/reduction_range_3d_rw.cpp
new file mode 100644
index 0000000000000..522669e310b93
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_3d_rw.cpp
@@ -0,0 +1,88 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// TODO: accelerator may not suport atomics required by the current
+// implementation. Enable testing when implementation is fixed.
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of parallel_for(range<3>, reduction, func)
+// with reductions initialized with a one element buffer.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, typename... ArgTys>
+void tests(ArgTys &&...Args) {
+  NumErrors += test<Name, T>(std::forward<ArgTys>(Args)...);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  tests<class A1, int>(Q, 0, 99, std::plus<>{}, range<3>{1, 1, 1});
+  tests<class A2, int>(Q, 0, 99, std::plus<>{}, range<3>{2, 2, 2});
+  tests<class A3, int>(Q, 0, 99, std::plus<>{}, range<3>{2, 3, 4});
+
+  tests<class A4, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{1, 1, MaxWGSize + 1});
+  tests<class A5, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{1, MaxWGSize + 1, 1});
+  tests<class A6, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{MaxWGSize + 1, 1, 1});
+
+  tests<class A7, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{2, 5, MaxWGSize * 2});
+  tests<class A8, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{3, MaxWGSize * 3, 2});
+  tests<class A9, int64_t>(Q, 0, 99, std::plus<>{},
+                           range<3>{MaxWGSize * 3, 8, 4});
+
+  tests<class B1, int>(Q, 0, 0x2021ff99, std::bit_xor<>{},
+                       range<3>{2, MaxWGSize * 3, 3});
+  tests<class B2, int>(Q, ~0, 99, std::bit_and<>{},
+                       range<3>{MaxWGSize * 3, 4, 3});
+  tests<class B3, int>(Q, 0, 99, std::bit_or<>{},
+                       range<3>{2, 2, MaxWGSize * 3});
+  tests<class B4, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<3>{2, 3, 5});
+  tests<class B5, uint64_t>(Q, 1, 3, std::multiplies<>{}, range<3>{5, 2, 3});
+  tests<class B6, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, range<3>{MaxWGSize, 8, 3});
+  tests<class B7, int>(Q, (std::numeric_limits<int>::min)(), 99,
+                       ext::oneapi::maximum<>{}, range<3>{3, MaxWGSize, 3});
+  tests<class B8, float>(Q, 1, 99, std::multiplies<>{}, range<3>{3, 3, 4});
+
+  tests<class C1, CustomVec<long long>>(Q, 0, 99, CustomVecPlus<long long>{},
+                                        range<3>{2, 33, MaxWGSize});
+  tests<class C2, CustomVec<long long>>(Q, 99, CustomVecPlus<long long>{},
+                                        range<3>{2, 33, MaxWGSize});
+
+  tests<class D1, int>(Q, 99, PlusWithoutIdentity<int>{}, range<3>{1, 1, 1});
+  tests<class D2, int>(Q, 99, PlusWithoutIdentity<int>{}, range<3>{2, 2, 2});
+  tests<class D3, int>(Q, 99, PlusWithoutIdentity<int>{}, range<3>{2, 3, 4});
+
+  /* Temporarily disabled
+  tests<class D4, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<3>{1, 1, MaxWGSize + 1});
+  tests<class D5, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<3>{1, MaxWGSize + 1, 1});
+  tests<class D6, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<3>{MaxWGSize + 1, 1, 1});
+  */
+
+  tests<class D7, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<3>{2, 5, MaxWGSize * 2});
+  tests<class D8, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<3>{3, MaxWGSize * 3, 2});
+  tests<class D9, int64_t>(Q, 99, PlusWithoutIdentity<int64_t>{},
+                           range<3>{MaxWGSize * 3, 8, 4});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_N_vars.cpp b/sycl/test-e2e/Reduction/reduction_range_N_vars.cpp
new file mode 100644
index 0000000000000..290227208113b
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_N_vars.cpp
@@ -0,0 +1,199 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test checks handling of parallel_for() accepting range and
+// two or more reductions.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+template <typename... Ts> class KNameGroup;
+template <typename T, bool B> class KName;
+
+constexpr access::mode RW = access::mode::read_write;
+constexpr access::mode DW = access::mode::discard_write;
+
+template <typename RangeT>
+void printNVarsTestLabel(const RangeT &Range, bool ToCERR = false) {
+  std::ostream &OS = ToCERR ? std::cerr : std::cout;
+  OS << (ToCERR ? "Error" : "Start") << ", Range=" << Range;
+  if (!ToCERR)
+    OS << std::endl;
+}
+
+template <typename T, bool IsUsm, usm::alloc AllocType> auto InitOut(queue &Q) {
+  if constexpr (IsUsm)
+    return malloc<T>(1, Q, AllocType);
+  else
+    return buffer<T, 1>{1};
+}
+
+template <class T, class BinaryOperation, bool IsUSM,
+          usm::alloc AllocType = usm::alloc::unknown,
+          class PropListTy = property_list>
+struct Red {
+  Red(queue &Q, size_t NWorkItems, T IdentityVal, T InitVal,
+      BinaryOperation BOp, PropListTy PropList = {})
+      : Q(Q), NWorkItems(NWorkItems), IdentityVal(IdentityVal),
+        InitVal(InitVal), BOp(BOp), PropList(PropList), InBuf(NWorkItems),
+        Mem(InitOut<T, IsUSM, AllocType>(Q)) {}
+
+  ~Red() {
+    if constexpr (IsUSM) {
+      free(Mem, Q);
+    }
+  }
+
+  void init() {
+    initInputData(InBuf, CorrectOut, BOp, NWorkItems);
+    if (!PropList.template has_property<
+            property::reduction::initialize_to_identity>())
+      CorrectOut = BOp(CorrectOut, InitVal);
+
+    if constexpr (IsUSM) {
+      if constexpr (AllocType == usm::alloc::device) {
+        Q.single_task([InitVal = this->InitVal, Mem = this->Mem]() {
+           *Mem = InitVal;
+         }).wait();
+      } else {
+        *Mem = InitVal;
+      }
+    } else {
+      host_accessor Acc(Mem, sycl::write_only);
+      Acc[0] = InitVal;
+    }
+  }
+
+  auto createRed(handler &CGH) {
+    if constexpr (IsUSM)
+      return reduction(Mem, IdentityVal, BOp, PropList);
+    else
+      return reduction(Mem, CGH, IdentityVal, BOp, PropList);
+  }
+
+  int checkResult(range<1> Range) {
+    auto Out = [this]() {
+      if constexpr (IsUSM) {
+        if constexpr (AllocType == usm::alloc::device) {
+          buffer<T, 1> B(1);
+          Q.submit([&](handler &CGH) {
+            accessor A(B, CGH, sycl::write_only);
+            CGH.copy(Mem, A);
+          });
+          return host_accessor{B}[0];
+        } else {
+          return *Mem;
+        }
+      } else {
+        return host_accessor{Mem}[0];
+      }
+    }();
+    return checkResults(Q, BOp, Range, Out, CorrectOut);
+  }
+
+  queue &Q;
+  size_t NWorkItems;
+  T IdentityVal;
+  T InitVal;
+  BinaryOperation BOp;
+  PropListTy PropList;
+  buffer<T, 1> InBuf;
+  T CorrectOut;
+  std::conditional_t<IsUSM, T *, buffer<T, 1>> Mem;
+};
+
+template <bool IsUSM, usm::alloc AllocType = usm::alloc::unknown>
+struct RedFactory {
+  template <class T, class BinaryOperation, class PropListTy = property_list>
+  auto get(queue &Q, size_t NWorkItems, T IdentityVal, T InitVal,
+           BinaryOperation BOp, PropListTy PropList = {}) {
+    return Red<T, BinaryOperation, IsUSM, AllocType, PropListTy>(
+        Q, NWorkItems, IdentityVal, InitVal, BOp, PropList);
+  }
+};
+
+template <class Name, class... RedTys>
+int test(queue &Q, size_t NWorkItems, RedTys... Reds) {
+  auto Range = range<1>{NWorkItems};
+  printNVarsTestLabel<>(Range);
+
+  (Reds.init(), ...);
+
+  Q.submit([&](handler &CGH) {
+     auto InAcc = sycl::detail::make_tuple(
+         accessor(Reds.InBuf, CGH, sycl::read_only)...);
+     auto SyclReds = std::forward_as_tuple(Reds.createRed(CGH)...);
+     std::apply(
+         [&](auto... SyclReds) {
+           CGH.parallel_for<Name>(
+               Range, SyclReds..., [=](id<1> It, auto &...Reducers) {
+                 static_assert(sizeof...(Reducers) == 4 ||
+                               sizeof...(Reducers) == 2);
+                 // No C++20, so don't have explicit template param lists in
+                 // lambda and can't unfold std::integer_sequence to write
+                 // generic code here.
+                 auto ReducersTuple = std::forward_as_tuple(Reducers...);
+                 size_t I = It.get(0);
+
+                 std::get<0>(ReducersTuple).combine(std::get<0>(InAcc)[I]);
+                 std::get<1>(ReducersTuple).combine(std::get<1>(InAcc)[I]);
+                 if constexpr (sizeof...(Reds) == 4) {
+                   std::get<2>(ReducersTuple).combine(std::get<2>(InAcc)[I]);
+                   std::get<3>(ReducersTuple).combine(std::get<3>(InAcc)[I]);
+                 }
+
+                 return;
+               });
+         },
+         SyclReds);
+   }).wait();
+
+  int NumErrors = (0 + ... + Reds.checkResult(Range));
+  return NumErrors;
+}
+
+int main() {
+  queue Q;
+  auto Dev = Q.get_device();
+  printDeviceInfo(Q);
+
+  constexpr bool UseBuf = false;
+  constexpr bool UseUSM = true;
+  int Error = 0;
+
+  size_t GSize = 16;
+  if (Dev.get_info<info::device::usm_shared_allocations>())
+    Error += test<class Case1>(
+        Q, GSize,
+        RedFactory<UseBuf>{}.get<float>(Q, GSize, 0, 1000, std::plus<>{},
+                                        init_to_identity()),
+        RedFactory<UseBuf>{}.get<int>(Q, GSize, 0, 2000, std::plus<>{}),
+        RedFactory<UseBuf>{}.get<short>(Q, GSize, 0, 4000, std::bit_or<>{}),
+        RedFactory<UseUSM, usm::alloc::shared>{}.get<int>(Q, GSize, 0, 8000,
+                                                          std::bit_xor<>{}));
+
+  GSize = 5 * (256 + 1);
+  auto Add = [](auto x, auto y) { return (x + y); };
+  if (Dev.get_info<info::device::usm_device_allocations>())
+    Error += test<class Case2>(
+        Q, GSize,
+        RedFactory<UseBuf>{}.get<float>(Q, GSize, 0, 1000, std::plus<>{}),
+        RedFactory<UseBuf>{}.get<int>(Q, GSize, 0, 2000, std::plus<>{}),
+        RedFactory<UseBuf>{}.get<short>(Q, GSize, 0, 4000, Add,
+                                        init_to_identity()),
+        RedFactory<UseUSM, usm::alloc::device>{}.get<int>(
+            Q, GSize, 0, 8000, std::plus<>{}, init_to_identity()));
+
+  // Use buffers only to verify same mangled kernel name isn't used twice inside
+  // implementation.
+  Error += test<class Case3>(
+      Q, GSize,
+      RedFactory<UseBuf>{}.get<float>(Q, GSize, 0, 1000, std::plus<>{}),
+      RedFactory<UseBuf>{}.get<int>(Q, GSize, 0, 2000, std::plus<>{}));
+
+  printFinalStatus(Error);
+  return Error;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_item.cpp b/sycl/test-e2e/Reduction/reduction_range_item.cpp
new file mode 100644
index 0000000000000..90d3c8303a010
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_item.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  auto *RedMem = malloc_shared<int>(1, q);
+  auto *Success = malloc_shared<bool>(1, q);
+  *Success = true;
+
+  *RedMem = 0;
+  q.parallel_for(range<1>{7}, reduction(RedMem, std::plus<int>{}),
+                 [=](item<1> Item, auto &Red) {
+                   Red += 1;
+                   if (Item.get_range(0) != 7)
+                     *Success = false;
+                   if (Item.get_id(0) == 7)
+                     *Success = false;
+                 })
+      .wait();
+
+  assert(*RedMem == 7);
+  assert(*Success);
+
+  *RedMem = 0;
+  q.parallel_for(range<2>{1030, 7}, reduction(RedMem, std::plus<int>{}),
+                 [=](item<2> Item, auto &Red) {
+                   Red += 1;
+                   if (Item.get_range(0) != 1030)
+                     *Success = false;
+                   if (Item.get_range(1) != 7)
+                     *Success = false;
+
+                   if (Item.get_id(0) == 1030)
+                     *Success = false;
+                   if (Item.get_id(1) == 7)
+                     *Success = false;
+                 })
+      .wait();
+
+  assert(*RedMem == 1030 * 7);
+  assert(*Success);
+
+  free(RedMem, q);
+  free(Success, q);
+  return 0;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_lambda.cpp b/sycl/test-e2e/Reduction/reduction_range_lambda.cpp
new file mode 100644
index 0000000000000..2906053d8d22a
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_lambda.cpp
@@ -0,0 +1,58 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of parallel_for(range, reduction, lambda)
+// with reductions initialized with a one element buffer.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, typename... ArgTys>
+void tests(ArgTys &&...Args) {
+  NumErrors += test<Name, T>(std::forward<ArgTys>(Args)...);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  auto LambdaSum = [](auto x, auto y) { return (x + y); };
+
+  tests<class A1, int>(Q, 0, 99, LambdaSum, range<1>{7});
+  tests<class A2, int>(Q, 0, 99, LambdaSum, range<1>{7}, init_to_identity());
+  tests<class A3, int>(Q, 99, LambdaSum, range<1>{7});
+
+  tests<class A4, int>(Q, 0, 99, LambdaSum, range<1>{MaxWGSize + 1});
+  tests<class A5, int>(Q, 0, 99, LambdaSum, range<1>{MaxWGSize + 1},
+                       init_to_identity());
+  tests<class A6, int>(Q, 99, LambdaSum, range<1>{MaxWGSize + 1});
+
+  tests<class B1, int>(Q, 0, 99, LambdaSum, range<2>{3, 4});
+  tests<class B2, int>(Q, 0, 99, LambdaSum, range<2>{3, 4}, init_to_identity());
+  tests<class B3, int>(Q, 99, LambdaSum, range<2>{3, 4});
+
+  tests<class B4, int>(Q, 0, 99, LambdaSum, range<2>{3, MaxWGSize + 1});
+  tests<class B5, int>(Q, 0, 99, LambdaSum, range<2>{3, MaxWGSize + 1},
+                       init_to_identity());
+  tests<class B6, int>(Q, 99, LambdaSum, range<2>{3, MaxWGSize + 1});
+
+  tests<class C1, int>(Q, 0, 99, LambdaSum, range<3>{2, 3, 4});
+  tests<class C2, int>(Q, 0, 99, LambdaSum, range<3>{2, 3, 4},
+                       init_to_identity());
+  tests<class C3, int>(Q, 99, LambdaSum, range<3>{2, 3, 4});
+
+  tests<class C4, int>(Q, 0, 99, LambdaSum, range<3>{2, 3, MaxWGSize + 1});
+  tests<class C5, int>(Q, 0, 99, LambdaSum, range<3>{2, 3, MaxWGSize + 1},
+                       init_to_identity());
+  tests<class C6, int>(Q, 99, LambdaSum, range<3>{2, 3, MaxWGSize + 1});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_queue_shortcut.cpp b/sycl/test-e2e/Reduction/reduction_range_queue_shortcut.cpp
new file mode 100644
index 0000000000000..bd371d7ac14f0
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_queue_shortcut.cpp
@@ -0,0 +1,97 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// Group algorithms are not supported on NVidia.
+// XFAIL: hip_nvidia
+
+// This test only checks that the shortcut method queue::parallel_for()
+// can accept 2 or more reduction variables.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+enum TestCase { NoDependencies, Dependency, DependenciesVector };
+
+template <typename T> T *allocUSM(queue &Q, size_t Size) {
+  if (!Q.get_device().has(getUSMAspect(usm::alloc::shared)))
+    return nullptr;
+
+  return malloc_shared<T>(Size, Q);
+}
+
+size_t linearizeId(id<1> Id, range<1>) { return Id; }
+size_t linearizeId(id<2> Id, range<2> Range) {
+  return Id[0] * Range[1] + Id[1];
+}
+size_t linearizeId(id<3> Id, range<3> Range) {
+  return Id[0] * Range[1] * Range[2] + Id[1] * Range[2] + Id[2];
+}
+
+template <typename T, TestCase TC, int Dims, typename BinaryOperation>
+int test(queue &Q, BinaryOperation BOp, const range<Dims> &Range) {
+  printTestLabel<T, BinaryOperation>(Range);
+
+  size_t NElems = Range.size();
+  T *Sum = allocUSM<T>(Q, 1);
+  T *Arr = allocUSM<T>(Q, NElems);
+  if (!Sum || !Arr) {
+    std::cout << " SKIPPED due to unrelated problems with USM" << std::endl;
+    sycl::free(Sum, Q);
+    sycl::free(Arr, Q);
+    return 0;
+  }
+
+  auto Redu = sycl::reduction(
+      Sum, BOp, property_list(property::reduction::initialize_to_identity{}));
+  if constexpr (TC == TestCase::NoDependencies) {
+    std::fill(Arr, Arr + NElems, 1);
+    Q.parallel_for(Range, Redu, [=](id<Dims> Id, auto &Sum) {
+       size_t LinId = linearizeId(Id, Range);
+       Sum.combine(static_cast<T>(LinId) + Arr[LinId]);
+     }).wait();
+  } else if constexpr (TC == TestCase::Dependency) {
+    auto E = Q.fill<T>(Arr, 1, NElems);
+    Q.parallel_for(Range, E, Redu, [=](id<Dims> Id, auto &Sum) {
+       size_t LinId = linearizeId(Id, Range);
+       Sum.combine(static_cast<T>(LinId) + Arr[LinId]);
+     }).wait();
+  } else {
+    auto E = Q.fill<T>(Arr, 1, NElems);
+    std::vector<event> EVec{E};
+    Q.parallel_for(Range, EVec, Redu, [=](id<Dims> Id, auto &Sum) {
+       size_t LinId = linearizeId(Id, Range);
+       Sum.combine(static_cast<T>(LinId) + Arr[LinId]);
+     }).wait();
+  }
+
+  T ExpectedSum = NElems + (NElems - 1) * NElems / 2;
+  int Error = checkResults(Q, BOp, Range, *Sum, ExpectedSum);
+  free(Sum, Q);
+  free(Arr, Q);
+  return Error;
+}
+
+template <typename T, int Dims, typename BinaryOperation>
+int tests(queue &Q, BinaryOperation BOp, const range<Dims> &Range) {
+  int NumErrors = 0;
+  NumErrors += test<T, TestCase::NoDependencies>(Q, BOp, Range);
+  NumErrors += test<T, TestCase::Dependency>(Q, BOp, Range);
+  NumErrors += test<T, TestCase::DependenciesVector>(Q, BOp, Range);
+  return NumErrors;
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  int NumErrors = 0;
+  NumErrors += tests<int>(Q, std::plus<>{}, range<1>{32});
+  NumErrors += tests<int>(Q, std::plus<>{}, range<2>{4, 4});
+  NumErrors += tests<int>(Q, std::plus<>{}, range<3>{4, 4, 3});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_range_usm_dw.cpp b/sycl/test-e2e/Reduction/reduction_range_usm_dw.cpp
new file mode 100644
index 0000000000000..ce2616d3b3a7e
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_range_usm_dw.cpp
@@ -0,0 +1,56 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -Xsycl-target-backend=nvptx64-nvidia-cuda --cuda-gpu-arch=sm_60
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Error message `Group algorithms are not
+// supported on host device.` on Nvidia.
+// XFAIL: hip_nvidia
+
+#include "reduction_utils.hpp"
+
+// This test performs basic checks of parallel_for(range<1>, reduction, func)
+// with reductions initialized a USM pointer and an initialize_to_identity
+// property.
+
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation, int Dims>
+void tests(queue &Q, T Identity, T Init, BinaryOperation BOp,
+           const range<Dims> &Range) {
+  auto PropList = init_to_identity();
+  NumErrors += testUSM<TName<Name, class Shared>, T>(
+      Q, Identity, Init, BOp, Range, usm::alloc::shared, PropList);
+  NumErrors += testUSM<TName<Name, class Host>, T>(
+      Q, Identity, Init, BOp, Range, usm::alloc::host, PropList);
+  NumErrors += testUSM<TName<Name, class Device>, T>(
+      Q, Identity, Init, BOp, Range, usm::alloc::device, PropList);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  size_t MaxWGSize =
+      Q.get_device().get_info<info::device::max_work_group_size>();
+
+  // Fast-reduce and Fast-atomics. Try various range types/sizes.
+  tests<class A1, int>(Q, 0, 99, std::plus<>{}, range<1>{MaxWGSize * 2 + 5});
+  tests<class A2, float>(Q, 0, 99, std::plus<>{}, range<2>{1, 1});
+  tests<class A3, int>(Q, 0, 99, std::plus<>{}, range<3>{MaxWGSize, 1, 2});
+
+  // Try various operations.
+  tests<class B1, int>(Q, ~0, 99, std::bit_and<>{}, range<1>{8});
+  tests<class B2, int>(Q, 0, 0xff99, std::bit_xor<>{}, range<1>{MaxWGSize + 1});
+  tests<class B4, short>(Q, 1, 2, std::multiplies<>{}, range<1>{7});
+  tests<class B5, int>(Q, (std::numeric_limits<int>::max)(), -99,
+                       ext::oneapi::minimum<>{}, range<2>{MaxWGSize, 2});
+
+  // Check with CUSTOM type.
+  tests<class C1>(Q, CustomVec<long long>(0), CustomVec<long long>(99),
+                  CustomVecPlus<long long>{}, range<2>{3, MaxWGSize});
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_reducer_op_eq.cpp b/sycl/test-e2e/Reduction/reduction_reducer_op_eq.cpp
new file mode 100644
index 0000000000000..9022add09ffb2
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_reducer_op_eq.cpp
@@ -0,0 +1,185 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-unnamed-lambda %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// On nvidia a reduction appears to be unexpectedly executed via the host.
+// XFAIL: hip_nvidia
+
+// This test checks that operators ++, +=, *=, |=, &=, ^= are supported
+// whent the corresponding std::plus<>, std::multiplies, etc are defined.
+
+#include "reduction_utils.hpp"
+#include <iostream>
+
+using namespace sycl;
+
+struct XY {
+  constexpr XY() : X(0), Y(0) {}
+  constexpr XY(int64_t X, int64_t Y) : X(X), Y(Y) {}
+  int64_t X;
+  int64_t Y;
+  int64_t x() const { return X; };
+  int64_t y() const { return Y; };
+};
+
+enum OperationEqual {
+  PlusPlus,
+  PlusPlusInt,
+  PlusEq,
+  MultipliesEq,
+  BitwiseOREq,
+  BitwiseXOREq,
+  BitwiseANDEq
+};
+
+namespace std {
+template <> struct plus<XY> {
+  using result_type = XY;
+  using first_argument_type = XY;
+  using second_argument_type = XY;
+  constexpr XY operator()(const XY &lhs, const XY &rhs) const {
+    return XY(lhs.X + rhs.X, lhs.Y + rhs.Y);
+  }
+};
+
+template <> struct multiplies<XY> {
+  using result_type = XY;
+  using first_argument_type = XY;
+  using second_argument_type = XY;
+  constexpr XY operator()(const XY &lhs, const XY &rhs) const {
+    return XY(lhs.X * rhs.X, lhs.Y * rhs.Y);
+  }
+};
+
+template <> struct bit_or<XY> {
+  using result_type = XY;
+  using first_argument_type = XY;
+  using second_argument_type = XY;
+  constexpr XY operator()(const XY &lhs, const XY &rhs) const {
+    return XY(lhs.X | rhs.X, lhs.Y | rhs.Y);
+  }
+};
+
+template <> struct bit_xor<XY> {
+  using result_type = XY;
+  using first_argument_type = XY;
+  using second_argument_type = XY;
+  constexpr XY operator()(const XY &lhs, const XY &rhs) const {
+    return XY(lhs.X ^ rhs.X, lhs.Y ^ rhs.Y);
+  }
+};
+
+template <> struct bit_and<XY> {
+  using result_type = XY;
+  using first_argument_type = XY;
+  using second_argument_type = XY;
+  constexpr XY operator()(const XY &lhs, const XY &rhs) const {
+    return XY(lhs.X & rhs.X, lhs.Y & rhs.Y);
+  }
+};
+} // namespace std
+
+template <typename T, typename BinaryOperation, OperationEqual OpEq, bool IsFP>
+int test(queue &Q, T Identity) {
+  constexpr size_t N = 16;
+  constexpr size_t L = 4;
+  nd_range<1> NDR{N, L};
+  printTestLabel<T, BinaryOperation>(NDR);
+
+  T *Data = malloc_host<T>(N, Q);
+  T *Res = malloc_host<T>(1, Q);
+  T Expected = Identity;
+  BinaryOperation BOp;
+  if constexpr (OpEq == PlusPlus || OpEq == PlusPlusInt) {
+    Expected = T{N, N};
+  } else {
+    for (int I = 0; I < N; I++) {
+      Data[I] = T{I, I + 1};
+      Expected = BOp(Expected, T{I, I + 1});
+    }
+  }
+
+  *Res = Identity;
+  auto Red = reduction(Res, Identity, BOp);
+  if constexpr (OpEq == PlusPlus) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) { ++Sum; };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  } else if constexpr (OpEq == PlusPlusInt) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) { Sum++; };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  } else if constexpr (OpEq == PlusEq) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) {
+      Sum += Data[ID.get_global_id(0)];
+    };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  } else if constexpr (OpEq == MultipliesEq) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) {
+      Sum *= Data[ID.get_global_id(0)];
+    };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  } else if constexpr (OpEq == BitwiseOREq) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) {
+      Sum |= Data[ID.get_global_id(0)];
+    };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  } else if constexpr (OpEq == BitwiseXOREq) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) {
+      Sum ^= Data[ID.get_global_id(0)];
+    };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  } else if constexpr (OpEq == BitwiseANDEq) {
+    auto Lambda = [=](nd_item<1> ID, auto &Sum) {
+      Sum &= Data[ID.get_global_id(0)];
+    };
+    Q.submit([&](handler &H) { H.parallel_for(NDR, Red, Lambda); }).wait();
+  }
+
+  int Error = 0;
+  if constexpr (IsFP) {
+    T Diff = (Expected / *Res) - T{1};
+    Error = (std::abs(Diff.x()) > 0.5 || std::abs(Diff.y()) > 0.5) ? 1 : 0;
+  } else {
+    Error = (Expected.x() != Res->x() || Expected.y() != Res->y()) ? 1 : 0;
+  }
+  if (Error)
+    std::cerr << "Error: expected = (" << Expected.x() << ", " << Expected.y()
+              << "); computed = (" << Res->x() << ", " << Res->y() << ")\n";
+
+  free(Res, Q);
+  free(Data, Q);
+  return Error;
+}
+
+template <typename T> int testFPPack(queue &Q) {
+  int Error = 0;
+  Error += test<T, std::plus<T>, PlusEq, true>(Q, T{});
+  Error += test<T, std::multiplies<T>, MultipliesEq, true>(Q, T{1, 1});
+  return Error;
+}
+
+template <typename T, bool TestPlusPlus> int testINTPack(queue &Q) {
+  int Error = 0;
+  if constexpr (TestPlusPlus) {
+    Error += test<T, std::plus<T>, PlusPlus, false>(Q, T{});
+    Error += test<T, std::plus<>, PlusPlusInt, false>(Q, T{});
+  }
+  Error += test<T, std::plus<T>, PlusEq, false>(Q, T{});
+  Error += test<T, std::multiplies<T>, MultipliesEq, false>(Q, T{1, 1});
+  Error += test<T, std::bit_or<T>, BitwiseOREq, false>(Q, T{});
+  Error += test<T, std::bit_xor<T>, BitwiseXOREq, false>(Q, T{});
+  Error += test<T, std::bit_and<T>, BitwiseANDEq, false>(Q, T{~0, ~0});
+  return Error;
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+  int NumErrors = 0;
+  NumErrors += testFPPack<float2>(Q);
+  NumErrors += testINTPack<int2, true>(Q);
+  NumErrors += testINTPack<XY, false>(Q);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_span.cpp b/sycl/test-e2e/Reduction/reduction_span.cpp
new file mode 100644
index 0000000000000..7327116102533
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_span.cpp
@@ -0,0 +1,139 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test performs basic checks of reductions initialized with a sycl::span
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <int Dimensions> size_t getLinearSize(range<Dimensions> Range) {
+  return Range.size();
+}
+
+template <int Dimensions> size_t getLinearSize(nd_range<Dimensions> NDRange) {
+  return NDRange.get_global_range().size();
+}
+
+template <int Dimensions>
+size_t getLinearId(nd_range<Dimensions>, nd_item<Dimensions> Item) {
+  return Item.get_global_linear_id();
+}
+
+size_t getLinearId(range<1>, id<1> Id) { return Id[0]; }
+
+size_t getLinearId(range<2> Range, id<2> Id) {
+  return Id[0] * Range[1] + Id[1];
+}
+
+size_t getLinearId(range<3> Range, id<3> Id) {
+  return Id[0] * Range[1] * Range[2] + Id[1] * Range[2] + Id[2];
+}
+
+enum class submission_mode {
+  handler,
+  queue,
+};
+
+template <size_t N, typename T, typename BinaryOperation, typename Range,
+          submission_mode SubmissionMode>
+void test(queue Q, Range Rng, T Identity, T Value) {
+
+  // Initialize output to identity value
+  T *Output = malloc_shared<T>(N, Q);
+  Q.parallel_for(range<1>{N}, [=](id<1> I) { Output[I] = Identity; }).wait();
+
+  // Perform generalized "histogram" with N bins
+  auto Redu = reduction(span<T, N>(Output, N), Identity, BinaryOperation());
+  auto Kern = [=](auto It, auto &Reducer) {
+    size_t Index = getLinearId(Rng, It) % N;
+    Reducer[Index].combine(Value);
+  };
+  if constexpr (SubmissionMode == submission_mode::handler) {
+    Q.submit([&](handler &CGH) { CGH.parallel_for(Rng, Redu, Kern); }).wait();
+  } else /*if (SubmissionMode == submission_mode::queue) */ {
+    Q.parallel_for(Rng, Redu, Kern).wait();
+  }
+
+  size_t Size = getLinearSize(Rng);
+
+  // Each bin should have the same value unless B doesn't divide N
+  T Expected = Identity;
+  T ExpectedRemainder;
+  for (size_t I = 0; I < Size; I += N) {
+    ExpectedRemainder = Expected;
+    Expected = BinaryOperation()(Expected, Value);
+  }
+
+  bool Passed = true;
+  for (size_t I = 0; I < N; ++I) {
+    if (I < Size % N) {
+      Passed &= (Output[I] == Expected);
+    } else {
+      Passed &= (Output[I] == ExpectedRemainder);
+    }
+  }
+
+  free(Output, Q);
+  NumErrors += (Passed) ? 0 : 1;
+}
+
+struct CustomType {
+  int x;
+  bool operator==(const CustomType &o) const { return (x == o.x); }
+};
+
+struct CustomBinaryOperation {
+  CustomType operator()(const CustomType &lhs, const CustomType &rhs) const {
+    return CustomType{lhs.x + rhs.x};
+  }
+};
+
+int main() {
+  queue Q;
+
+  // Tests for small spans that can be privatized efficiently
+  // Each combination tests a different sycl::reduction implementation
+  test<16, int, std::plus<int>, sycl::range<1>, submission_mode::handler>(Q, 24,
+                                                                          0, 1);
+  test<16, float, std::plus<float>, sycl::range<1>, submission_mode::handler>(
+      Q, 24, 0, 1);
+  test<16, int, std::multiplies<int>, sycl::range<1>, submission_mode::handler>(
+      Q, 24, 1, 2);
+  test<16, CustomType, CustomBinaryOperation, sycl::range<1>,
+       submission_mode::handler>(Q, 24, CustomType{0}, CustomType{1});
+  test<16, int, std::plus<int>, sycl::range<1>, submission_mode::queue>(Q, 24,
+                                                                        0, 1);
+  test<16, float, std::plus<float>, sycl::range<1>, submission_mode::queue>(
+      Q, 24, 0, 1);
+  test<16, int, std::multiplies<int>, sycl::range<1>, submission_mode::queue>(
+      Q, 24, 1, 2);
+  test<16, CustomType, CustomBinaryOperation, sycl::range<1>,
+       submission_mode::queue>(Q, 24, CustomType{0}, CustomType{1});
+
+  test<16, int, std::plus<int>, sycl::nd_range<1>, submission_mode::handler>(
+      Q, {24, 8}, 0, 1);
+  test<16, float, std::plus<float>, sycl::nd_range<1>,
+       submission_mode::handler>(Q, {24, 8}, 0, 1);
+  test<16, int, std::multiplies<int>, sycl::nd_range<1>,
+       submission_mode::handler>(Q, {24, 8}, 1, 2);
+  test<16, int, std::bit_or<int>, sycl::nd_range<1>, submission_mode::handler>(
+      Q, {24, 8}, 0, 1);
+  test<16, CustomType, CustomBinaryOperation, sycl::nd_range<1>,
+       submission_mode::handler>(Q, {24, 8}, CustomType{0}, CustomType{1});
+  test<16, int, std::plus<int>, sycl::nd_range<1>, submission_mode::queue>(
+      Q, {24, 8}, 0, 1);
+  test<16, float, std::plus<float>, sycl::nd_range<1>, submission_mode::queue>(
+      Q, {24, 8}, 0, 1);
+  test<16, int, std::multiplies<int>, sycl::nd_range<1>,
+       submission_mode::queue>(Q, {24, 8}, 1, 2);
+  test<16, int, std::bit_or<int>, sycl::nd_range<1>, submission_mode::queue>(
+      Q, {24, 8}, 0, 1);
+  test<16, CustomType, CustomBinaryOperation, sycl::nd_range<1>,
+       submission_mode::queue>(Q, {24, 8}, CustomType{0}, CustomType{1});
+
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_span_pack.cpp b/sycl/test-e2e/Reduction/reduction_span_pack.cpp
new file mode 100644
index 0000000000000..673112e8ab6c4
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_span_pack.cpp
@@ -0,0 +1,226 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// `Group algorithms are not supported on host device.` on Nvidia.
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of reductions initialized with a pack
+// containing at least one sycl::span
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int NumErrors = 0;
+
+template <int Dimensions> size_t getLinearSize(range<Dimensions> Range) {
+  return Range.size();
+}
+
+template <int Dimensions> size_t getLinearSize(nd_range<Dimensions> NDRange) {
+  return NDRange.get_global_range().size();
+}
+
+template <int Dimensions>
+size_t getLinearId(nd_range<Dimensions>, nd_item<Dimensions> Item) {
+  return Item.get_global_linear_id();
+}
+
+size_t getLinearId(range<1>, id<1> Id) { return Id[0]; }
+
+size_t getLinearId(range<2> Range, id<2> Id) {
+  return Id[0] * Range[1] + Id[1];
+}
+
+size_t getLinearId(range<3> Range, id<3> Id) {
+  return Id[0] * Range[1] * Range[2] + Id[1] * Range[2] + Id[2];
+}
+
+enum class submission_mode {
+  handler,
+  queue,
+};
+
+// Test a span and a regular sum
+template <size_t N, typename T, typename BinaryOperation, typename Range,
+          submission_mode SubmissionMode>
+void test1(queue Q, Range Rng, T Identity, T Value) {
+
+  // Initialize output to identity value
+  int *Sum = malloc_shared<int>(1, Q);
+  Q.single_task([=]() { *Sum = 0; }).wait();
+  T *Output = malloc_shared<T>(N, Q);
+  Q.parallel_for(range<1>{N}, [=](id<1> I) { Output[I] = Identity; }).wait();
+
+  // Perform generalized "histogram" with N bins
+  auto ScalarRedu = reduction(Sum, plus<>());
+  auto SpanRedu = reduction(span<T, N>(Output, N), Identity, BinaryOperation());
+  auto Kern = [=](auto It, auto &ScalarReducer, auto &SpanReducer) {
+    ScalarReducer++;
+    size_t Index = getLinearId(Rng, It) % N;
+    SpanReducer[Index].combine(Value);
+  };
+  if constexpr (SubmissionMode == submission_mode::handler) {
+    Q.submit([&](handler &CGH) {
+       CGH.parallel_for(Rng, ScalarRedu, SpanRedu, Kern);
+     }).wait();
+  } else /*if (SubmissionMode == submission_mode::queue) */ {
+    Q.parallel_for(Rng, ScalarRedu, SpanRedu, Kern).wait();
+  }
+
+  size_t Size = getLinearSize(Rng);
+
+  // Each bin should have the same value unless B doesn't divide N
+  T Expected = Identity;
+  T ExpectedRemainder;
+  for (size_t I = 0; I < Size; I += N) {
+    ExpectedRemainder = Expected;
+    Expected = BinaryOperation()(Expected, Value);
+  }
+
+  bool Passed = true;
+  for (size_t I = 0; I < N; ++I) {
+    if (I < Size % N) {
+      Passed &= (Output[I] == Expected);
+    } else {
+      Passed &= (Output[I] == ExpectedRemainder);
+    }
+  }
+  Passed &= (*Sum == Size);
+
+  free(Output, Q);
+  free(Sum, Q);
+  NumErrors += (Passed) ? 0 : 1;
+}
+
+// Test two spans
+template <size_t N, typename T, typename BinaryOperation, typename Range,
+          submission_mode SubmissionMode>
+void test2(queue Q, Range Rng, T Identity, T Value) {
+
+  // Initialize output to identity value
+  int *Output1 = malloc_shared<int>(N, Q);
+  Q.parallel_for(range<1>{N}, [=](id<1> I) { Output1[I] = 0; }).wait();
+  T *Output2 = malloc_shared<T>(N, Q);
+  Q.parallel_for(range<1>{N}, [=](id<1> I) { Output2[I] = Identity; }).wait();
+
+  // Perform generalized "histogram" with N bins
+  auto Redu1 = reduction(span<int, N>(Output1, N), plus<>());
+  auto Redu2 = reduction(span<T, N>(Output2, N), Identity, BinaryOperation());
+  auto Kern = [=](auto It, auto &Reducer1, auto &Reducer2) {
+    size_t Index = getLinearId(Rng, It) % N;
+    Reducer1[Index]++;
+    Reducer2[Index].combine(Value);
+  };
+  if constexpr (SubmissionMode == submission_mode::handler) {
+    Q.submit([&](handler &CGH) {
+       CGH.parallel_for(Rng, Redu1, Redu2, Kern);
+     }).wait();
+  } else /*if (SubmissionMode == submission_mode::queue) */ {
+    Q.parallel_for(Rng, Redu1, Redu2, Kern).wait();
+  }
+
+  size_t Size = getLinearSize(Rng);
+  bool Passed = true;
+  // Span1
+  {
+    int Expected = 0;
+    int ExpectedRemainder;
+    for (size_t I = 0; I < Size; I += N) {
+      ExpectedRemainder = Expected;
+      Expected += 1;
+    }
+
+    for (size_t I = 0; I < N; ++I) {
+      if (I < Size % N) {
+        Passed &= (Output1[I] == Expected);
+      } else {
+        Passed &= (Output1[I] == ExpectedRemainder);
+      }
+    }
+  }
+
+  // Span2
+  {
+    T Expected = Identity;
+    T ExpectedRemainder;
+    for (size_t I = 0; I < Size; I += N) {
+      ExpectedRemainder = Expected;
+      Expected = BinaryOperation()(Expected, Value);
+    }
+
+    for (size_t I = 0; I < N; ++I) {
+      if (I < Size % N) {
+        Passed &= (Output2[I] == Expected);
+      } else {
+        Passed &= (Output2[I] == ExpectedRemainder);
+      }
+    }
+  }
+
+  free(Output2, Q);
+  free(Output1, Q);
+  NumErrors += (Passed) ? 0 : 1;
+}
+
+struct CustomType {
+  int x;
+  bool operator==(const CustomType &o) const { return (x == o.x); }
+};
+
+struct CustomBinaryOperation {
+  CustomType operator()(const CustomType &lhs, const CustomType &rhs) const {
+    return CustomType{lhs.x + rhs.x};
+  }
+};
+
+template <size_t N, typename T, typename BinaryOperation, typename Range,
+          submission_mode SubmissionMode>
+void test(queue Q, Range Rng, T Identity, T Value) {
+  test1<N, T, BinaryOperation, Range, SubmissionMode>(Q, Rng, Identity, Value);
+  test2<N, T, BinaryOperation, Range, SubmissionMode>(Q, Rng, Identity, Value);
+}
+
+int main() {
+  queue Q;
+
+  // Tests for small spans that can be privatized efficiently
+  // Each combination tests a different sycl::reduction implementation
+  // TODO: Enable range<> tests once parallel_for accepts pack
+  /*test<16, int, std::plus<int>, sycl::range<1>, submission_mode::handler>(Q,
+  24, 0, 1); test<16, float, std::plus<float>, sycl::range<1>,
+  submission_mode::handler>(Q, 24, 0, 1); test<16, int, std::multiplies<int>,
+  sycl::range<1>, submission_mode::handler>(Q, 24, 1, 2); test<16, CustomType,
+  CustomBinaryOperation, sycl::range<1>, submission_mode::handler>(Q, 24,
+  CustomType{0}, CustomType{1});
+  test<16, int, std::plus<int>, sycl::range<1>, submission_mode::queue>(Q, 24,
+  0, 1); test<16, float, std::plus<float>, sycl::range<1>,
+  submission_mode::queue>(Q, 24, 0, 1); test<16, int, std::multiplies<int>,
+  sycl::range<1>, submission_mode::queue>(Q, 24, 1, 2); test<16, CustomType,
+  CustomBinaryOperation, sycl::range<1>, submission_mode::queue>(Q, 24,
+  CustomType{0}, CustomType{1});*/
+
+  test<16, int, std::plus<int>, sycl::nd_range<1>, submission_mode::handler>(
+      Q, {24, 8}, 0, 1);
+  test<16, float, std::plus<float>, sycl::nd_range<1>,
+       submission_mode::handler>(Q, {24, 8}, 0, 1);
+  test<16, int, std::multiplies<int>, sycl::nd_range<1>,
+       submission_mode::handler>(Q, {24, 8}, 1, 2);
+  test<16, int, std::bit_or<int>, sycl::nd_range<1>, submission_mode::handler>(
+      Q, {24, 8}, 0, 1);
+  test<16, CustomType, CustomBinaryOperation, sycl::nd_range<1>,
+       submission_mode::handler>(Q, {24, 8}, CustomType{0}, CustomType{1});
+  test<16, int, std::plus<int>, sycl::nd_range<1>, submission_mode::queue>(
+      Q, {24, 8}, 0, 1);
+  test<16, float, std::plus<float>, sycl::nd_range<1>, submission_mode::queue>(
+      Q, {24, 8}, 0, 1);
+  test<16, int, std::multiplies<int>, sycl::nd_range<1>,
+       submission_mode::queue>(Q, {24, 8}, 1, 2);
+  test<16, int, std::bit_or<int>, sycl::nd_range<1>, submission_mode::queue>(
+      Q, {24, 8}, 0, 1);
+  test<16, CustomType, CustomBinaryOperation, sycl::nd_range<1>,
+       submission_mode::queue>(Q, {24, 8}, CustomType{0}, CustomType{1});
+
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_usm.cpp b/sycl/test-e2e/Reduction/reduction_usm.cpp
new file mode 100644
index 0000000000000..2a53361b13637
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_usm.cpp
@@ -0,0 +1,138 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// `Group algorithms are not supported on host device.` on Nvidia.
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// with reductions initialized with USM pointer.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+template <typename T1, typename T2> class USMKName;
+
+template <typename Name, typename T, class BinaryOperation, bool HasIdentity>
+int test(queue &Q, OptionalIdentity<T, HasIdentity> Identity, T Init,
+         size_t WGSize, size_t NWItems, usm::alloc AllocType) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  printTestLabel<T, BinaryOperation>(NDRange);
+
+  auto Dev = Q.get_device();
+  if (!Dev.has(getUSMAspect(AllocType)))
+    return 0;
+
+  T *ReduVarPtr = (T *)malloc(sizeof(T), Dev, Q.get_context(), AllocType);
+  if (ReduVarPtr == nullptr)
+    return 0;
+  if (AllocType == usm::alloc::device) {
+    Q.submit([&](handler &CGH) {
+       CGH.single_task<USMKName<Name, class InitKernel>>(
+           [=]() { *ReduVarPtr = Init; });
+     }).wait();
+  } else {
+    *ReduVarPtr = Init;
+  }
+
+  // Initialize.
+  T CorrectOut;
+  BinaryOperation BOp;
+
+  buffer<T, 1> InBuf(NWItems);
+  initInputData(InBuf, CorrectOut, BOp, NWItems);
+  CorrectOut = BOp(CorrectOut, Init);
+
+  // Compute.
+  Q.submit([&](handler &CGH) {
+     // Helper for creating the reductions depending on the existance of an
+     // identity.
+     auto CreateReduction = [&]() {
+       if constexpr (HasIdentity) {
+         return reduction(ReduVarPtr, Identity.get(), BOp);
+       } else {
+         return reduction(ReduVarPtr, BOp);
+       }
+     };
+
+     auto In = InBuf.template get_access<access::mode::read>(CGH);
+     auto Redu = CreateReduction();
+     CGH.parallel_for<USMKName<Name, class Test>>(
+         NDRange, Redu, [=](nd_item<1> NDIt, auto &Sum) {
+           Sum.combine(In[NDIt.get_global_linear_id()]);
+         });
+   }).wait();
+
+  // Check correctness.
+  T ComputedOut;
+  if (AllocType == usm::alloc::device) {
+    buffer<T, 1> Buf(&ComputedOut, range<1>(1));
+    Q.submit([&](handler &CGH) {
+       auto OutAcc = Buf.template get_access<access::mode::discard_write>(CGH);
+       CGH.single_task<USMKName<Name, class Check>>(
+           [=]() { OutAcc[0] = *ReduVarPtr; });
+     }).wait();
+    ComputedOut = (Buf.template get_access<access::mode::read>())[0];
+  } else {
+    ComputedOut = *ReduVarPtr;
+  }
+
+  std::string AllocStr =
+      "AllocMode=" + std::to_string(static_cast<int>(AllocType));
+  int Error = checkResults(Q, BOp, NDRange, ComputedOut, CorrectOut, AllocStr);
+  free(ReduVarPtr, Q.get_context());
+  return Error;
+}
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void testUSM(queue &Q, T Identity, T Init, size_t WGSize, size_t NWItems) {
+  NumErrors += test<USMKName<Name, class Shared>, T, BinaryOperation>(
+      Q, OptionalIdentity(Identity), Init, WGSize, NWItems, usm::alloc::shared);
+  NumErrors += test<USMKName<Name, class Host>, T, BinaryOperation>(
+      Q, OptionalIdentity(Identity), Init, WGSize, NWItems, usm::alloc::host);
+  NumErrors += test<USMKName<Name, class Device>, T, BinaryOperation>(
+      Q, OptionalIdentity(Identity), Init, WGSize, NWItems, usm::alloc::device);
+}
+
+template <typename Name, typename T, class BinaryOperation>
+void testUSM(queue &Q, T Init, size_t WGSize, size_t NWItems) {
+  NumErrors += test<USMKName<Name, class Shared>, T, BinaryOperation>(
+      Q, OptionalIdentity<T>(), Init, WGSize, NWItems, usm::alloc::shared);
+  NumErrors += test<USMKName<Name, class Host>, T, BinaryOperation>(
+      Q, OptionalIdentity<T>(), Init, WGSize, NWItems, usm::alloc::host);
+  NumErrors += test<USMKName<Name, class Device>, T, BinaryOperation>(
+      Q, OptionalIdentity<T>(), Init, WGSize, NWItems, usm::alloc::device);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  // fast atomics and fast reduce
+  testUSM<class AtomicReduce1, int, std::plus<int>>(Q, 0, 99, 49, 5 * 49);
+
+  // fast atomics
+  testUSM<class Atomic1, int, std::bit_or<>>(Q, 0, 0xff00ff00, 7, 7);
+  testUSM<class Atomic2, int, std::bit_or<>>(Q, 0, 0x7f007f00, 4, 32);
+
+  // fast reduce
+  testUSM<class Reduce1, float, ext::oneapi::minimum<>>(
+      Q, getMaximumFPValue<float>(), -100.0, 17, 17);
+  testUSM<class Reduce2, float, ext::oneapi::maximum<>>(
+      Q, getMinimumFPValue<float>(), 100.0, 4, 32);
+
+  // generic algorithm
+  testUSM<class Generic1, int, std::multiplies<>>(Q, 1, 5, 7, 7);
+  testUSM<class Generic2, CustomVec<short>, CustomVecPlus<short>>(
+      Q, CustomVec<short>(0), CustomVec<short>(77), 8, 8 * 3);
+  testUSM<class Generic3, CustomVec<short>, CustomVecPlus<short>>(
+      Q, CustomVec<short>(77), 8, 8 * 3);
+  testUSM<class Generic4, int, PlusWithoutIdentity<int>>(Q, 77, 8, 8 * 3);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_usm_dw.cpp b/sycl/test-e2e/Reduction/reduction_usm_dw.cpp
new file mode 100644
index 0000000000000..1460fac3907b5
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_usm_dw.cpp
@@ -0,0 +1,117 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// `Group algorithms are not supported on host device` on Nvidia.
+// XFAIL: hip_nvidia
+
+// This test performs basic checks of parallel_for(nd_range, reduction, func)
+// with reductions initialized with USM var and
+// property::reduction::initialize_to_identity property.
+
+#include "reduction_utils.hpp"
+
+using namespace sycl;
+
+template <typename T1, typename T2> class USMKName;
+
+template <typename Name, typename T, class BinaryOperation>
+int test(queue &Q, T Identity, T Init, size_t WGSize, size_t NWItems,
+         usm::alloc AllocType) {
+  nd_range<1> NDRange(range<1>{NWItems}, range<1>{WGSize});
+  printTestLabel<T, BinaryOperation>(NDRange);
+
+  auto Dev = Q.get_device();
+  if (!Dev.has(getUSMAspect(AllocType)))
+    return 0;
+
+  T *ReduVarPtr = (T *)malloc(sizeof(T), Dev, Q.get_context(), AllocType);
+  if (ReduVarPtr == nullptr)
+    return 0;
+  if (AllocType == usm::alloc::device) {
+    Q.submit([&](handler &CGH) {
+       CGH.single_task<USMKName<Name, class InitKernel>>(
+           [=]() { *ReduVarPtr = Init; });
+     }).wait();
+  } else {
+    *ReduVarPtr = Init;
+  }
+
+  // Initialize.
+  T CorrectOut;
+  BinaryOperation BOp;
+
+  buffer<T, 1> InBuf(NWItems);
+  initInputData(InBuf, CorrectOut, BOp, NWItems);
+
+  // Compute.
+  Q.submit([&](handler &CGH) {
+     auto In = InBuf.template get_access<access::mode::read>(CGH);
+
+     auto Redu = reduction(ReduVarPtr, Identity, BOp,
+                           {property::reduction::initialize_to_identity{}});
+     CGH.parallel_for<USMKName<Name, class Test>>(
+         NDRange, Redu, [=](nd_item<1> NDIt, auto &Sum) {
+           Sum.combine(In[NDIt.get_global_linear_id()]);
+         });
+   }).wait();
+
+  // Check correctness.
+  T ComputedOut;
+  if (AllocType == usm::alloc::device) {
+    buffer<T, 1> Buf(&ComputedOut, range<1>(1));
+    Q.submit([&](handler &CGH) {
+       auto OutAcc = Buf.template get_access<access::mode::discard_write>(CGH);
+       CGH.single_task<USMKName<Name, class Check>>(
+           [=]() { OutAcc[0] = *ReduVarPtr; });
+     }).wait();
+    ComputedOut = (Buf.template get_access<access::mode::read>())[0];
+  } else {
+    ComputedOut = *ReduVarPtr;
+  }
+  std::string AllocStr =
+      "AllocMode=" + std::to_string(static_cast<int>(AllocType));
+  int Error = checkResults(Q, BOp, NDRange, ComputedOut, CorrectOut, AllocStr);
+
+  free(ReduVarPtr, Q.get_context());
+  return Error;
+}
+
+int NumErrors = 0;
+
+template <typename Name, typename T, class BinaryOperation>
+void testUSM(queue &Q, T Identity, T Init, size_t WGSize, size_t NWItems) {
+  NumErrors += test<USMKName<Name, class Shared>, T, BinaryOperation>(
+      Q, Identity, Init, WGSize, NWItems, usm::alloc::shared);
+  NumErrors += test<USMKName<Name, class Host>, T, BinaryOperation>(
+      Q, Identity, Init, WGSize, NWItems, usm::alloc::host);
+  NumErrors += test<USMKName<Name, class Device>, T, BinaryOperation>(
+      Q, Identity, Init, WGSize, NWItems, usm::alloc::device);
+}
+
+int main() {
+  queue Q;
+  printDeviceInfo(Q);
+
+  // fast atomics and fast reduce
+  testUSM<class AtomicReduce1, int, std::plus<int>>(Q, 0, 99, 49, 5 * 49);
+
+  // fast atomics
+  testUSM<class Atomic1, int, std::bit_or<>>(Q, 0, 0xff00ff00, 7, 7);
+  testUSM<class Atomic2, int, std::bit_or<>>(Q, 0, 0x7f007f00, 4, 32);
+
+  // fast reduce
+  testUSM<class Reduce1, float, ext::oneapi::minimum<>>(
+      Q, getMaximumFPValue<float>(), -100.0, 17, 17);
+  testUSM<class Reduce2, float, ext::oneapi::maximum<>>(
+      Q, getMinimumFPValue<float>(), 100.0, 4, 32);
+
+  // generic algorithm
+  testUSM<class Generic1, int, std::multiplies<>>(Q, 1, 5, 7, 7);
+  testUSM<class Generic2, CustomVec<short>, CustomVecPlus<short>>(
+      Q, CustomVec<short>(0), CustomVec<short>(77), 8, 8 * 3);
+
+  printFinalStatus(NumErrors);
+  return NumErrors;
+}
diff --git a/sycl/test-e2e/Reduction/reduction_utils.hpp b/sycl/test-e2e/Reduction/reduction_utils.hpp
new file mode 100644
index 0000000000000..d5875fbbba475
--- /dev/null
+++ b/sycl/test-e2e/Reduction/reduction_utils.hpp
@@ -0,0 +1,499 @@
+#include <iostream>
+#include <optional>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+/// Initializes the buffer<1> \p 'InBuf' buffer with pseudo-random values,
+/// computes the write the reduction value \p 'ExpectedOut'.
+template <typename T, class BinaryOperation>
+void initInputData(buffer<T, 1> &InBuf, T &ExpectedOut, BinaryOperation BOp,
+                   range<1> Range) {
+  size_t N = Range.size();
+  assert(N != 0);
+  auto In = InBuf.template get_access<access::mode::write>();
+  for (int I = 0; I < N; ++I) {
+    if (std::is_same_v<BinaryOperation, std::multiplies<T>> ||
+        std::is_same_v<BinaryOperation, std::multiplies<>>)
+      In[I] = 1.1 + (((I % 11) == 0) ? 1 : 0);
+    else if (std::is_same_v<BinaryOperation, std::bit_and<T>> ||
+             std::is_same_v<BinaryOperation, std::bit_and<>>)
+      In[I] = (I + 1) | 0x10203040;
+    else if (std::is_same_v<BinaryOperation, sycl::minimum<T>> ||
+             std::is_same_v<BinaryOperation, sycl::minimum<>>)
+      In[I] = Range[0] - I;
+    else if (std::is_same_v<BinaryOperation, sycl::maximum<T>> ||
+             std::is_same_v<BinaryOperation, sycl::maximum<>>)
+      In[I] = I;
+    else
+      In[I] = ((I + 1) % 5) + 1.1;
+    ExpectedOut = I == 0 ? In[I] : BOp(ExpectedOut, In[I]);
+  }
+};
+
+/// Initializes the buffer<2> \p 'InBuf' buffer with pseudo-random values,
+/// computes the write the reduction value \p 'ExpectedOut'.
+template <typename T, class BinaryOperation>
+void initInputData(buffer<T, 2> &InBuf, T &ExpectedOut, BinaryOperation BOp,
+                   range<2> Range) {
+  assert(Range.size() != 0);
+  auto In = InBuf.template get_access<access::mode::write>();
+  for (int J = 0; J < Range[0]; ++J) {
+    for (int I = 0; I < Range[1]; ++I) {
+      if (std::is_same_v<BinaryOperation, std::multiplies<T>> ||
+          std::is_same_v<BinaryOperation, std::multiplies<>>)
+        In[J][I] = 1.1 + ((((I + J * 3) % 11) == 0) ? 1 : 0);
+      else if (std::is_same_v<BinaryOperation, std::bit_and<T>> ||
+               std::is_same_v<BinaryOperation, std::bit_and<>>)
+        In[J][I] = (I + J + 1) | 0x10203040;
+      else if (std::is_same_v<BinaryOperation, sycl::minimum<T>> ||
+               std::is_same_v<BinaryOperation, sycl::minimum<>>)
+        In[J][I] = Range[0] + Range[1] - I - J;
+      else if (std::is_same_v<BinaryOperation, sycl::maximum<T>> ||
+               std::is_same_v<BinaryOperation, sycl::maximum<>>)
+        In[J][I] = I + J;
+      else
+        In[J][I] = ((I + 1 + J) % 5) + 1.1;
+      ExpectedOut = (I == 0 && J == 0) ? In[J][I] : BOp(ExpectedOut, In[J][I]);
+    }
+  }
+};
+
+/// Initializes the buffer<3> \p 'InBuf' buffer with pseudo-random values,
+/// computes the write the reduction value \p 'ExpectedOut'.
+template <typename T, class BinaryOperation>
+void initInputData(buffer<T, 3> &InBuf, T &ExpectedOut, BinaryOperation BOp,
+                   range<3> Range) {
+  assert(Range.size() != 0);
+  auto In = InBuf.template get_access<access::mode::write>();
+  for (int K = 0; K < Range[0]; ++K) {
+    for (int J = 0; J < Range[1]; ++J) {
+      for (int I = 0; I < Range[2]; ++I) {
+        if (std::is_same_v<BinaryOperation, std::multiplies<T>> ||
+            std::is_same_v<BinaryOperation, std::multiplies<>>)
+          In[K][J][I] = 1.1 + ((((I + J * 3 + K) % 11) == 0) ? 1 : 0);
+        else if (std::is_same_v<BinaryOperation, std::bit_and<T>> ||
+                 std::is_same_v<BinaryOperation, std::bit_and<>>)
+          In[K][J][I] = (I + J + K + 1) | 0x10203040;
+        else if (std::is_same_v<BinaryOperation, sycl::minimum<T>> ||
+                 std::is_same_v<BinaryOperation, sycl::minimum<>>)
+          In[K][J][I] = Range[0] + Range[1] + Range[2] - I - J - K;
+        else if (std::is_same_v<BinaryOperation, sycl::maximum<T>> ||
+                 std::is_same_v<BinaryOperation, sycl::maximum<>>)
+          In[K][J][I] = I + J + K;
+        else
+          In[K][J][I] = ((I + 1 + J + K * 3) % 5) + 1.1;
+        ExpectedOut = (I == 0 && J == 0 && K == 0)
+                          ? In[K][J][I]
+                          : BOp(ExpectedOut, In[K][J][I]);
+      }
+    }
+  }
+};
+
+// This type is needed only to check that custom types are properly handled
+// in parallel_for() with reduction. For simplicity it needs a default
+// constructor, a constructor with one argument, operators ==, != and
+// printing to a stream.
+template <typename T> struct CustomVec {
+  CustomVec() : X(0), Y(0) {}
+  CustomVec(T X, T Y) : X(X), Y(Y) {}
+  CustomVec(T V) : X(V), Y(V) {}
+  bool operator==(const CustomVec &V) const { return V.X == X && V.Y == Y; }
+  bool operator!=(const CustomVec &V) const { return !(*this == V); }
+  T X;
+  T Y;
+};
+template <typename T>
+bool operator==(const CustomVec<T> &A, const CustomVec<T> &B) {
+  return A.X == B.X && A.Y == B.Y;
+}
+template <typename T>
+bool operator<(const CustomVec<T> &A, const CustomVec<T> &B) {
+  return A.X < B.X && A.Y < B.Y;
+}
+template <typename T>
+CustomVec<T> operator/(const CustomVec<T> &A, const CustomVec<T> &B) {
+  return {A.X / B.X && A.Y / B.Y};
+}
+template <typename T>
+CustomVec<T> operator-(const CustomVec<T> &A, const CustomVec<T> &B) {
+  return {A.X - B.X && A.Y - B.Y};
+}
+namespace std {
+template <typename T> CustomVec<T> abs(const CustomVec<T> &A) {
+  return {std::abs(A.X), std::abs(A.Y)};
+}
+} // namespace std
+template <typename T>
+std::ostream &operator<<(std::ostream &OS, const CustomVec<T> &V) {
+  return OS << "(" << V.X << ", " << V.Y << ")";
+}
+
+template <class T> struct CustomVecPlus {
+  using CV = CustomVec<T>;
+  CV operator()(const CV &A, const CV &B) const {
+    return CV(A.X + B.X, A.Y + B.Y);
+  }
+};
+
+template <class T> struct PlusWithoutIdentity {
+  T operator()(const T &A, const T &B) const { return A + B; }
+};
+
+template <typename T> T getMinimumFPValue() {
+  return std::numeric_limits<T>::has_infinity
+             ? static_cast<T>(-std::numeric_limits<T>::infinity())
+             : std::numeric_limits<T>::lowest();
+}
+
+template <typename T> T getMaximumFPValue() {
+  return std::numeric_limits<T>::has_infinity
+             ? std::numeric_limits<T>::infinity()
+             : (std::numeric_limits<T>::max)();
+}
+
+template <typename T, bool HasIdentity = false> struct OptionalIdentity {
+  OptionalIdentity() {}
+  OptionalIdentity(T IdentityVal) : MValue{IdentityVal} {}
+
+  T get() const { return *MValue; }
+
+private:
+  std::optional<T> MValue;
+};
+template <typename T> OptionalIdentity(T) -> OptionalIdentity<T, true>;
+
+void printDeviceInfo(queue &Q, bool ToCERR = false) {
+  static int IsErrDeviceInfoPrinted = 0;
+  if (IsErrDeviceInfoPrinted >= 2)
+    return;
+  IsErrDeviceInfoPrinted++;
+
+  device D = Q.get_device();
+  auto Name = D.get_info<sycl::info::device::name>();
+  size_t MaxWGSize = D.get_info<info::device::max_work_group_size>();
+  size_t LocalMemSize = D.get_info<info::device::local_mem_size>();
+  std::ostream &OS = ToCERR ? std::cerr : std::cout;
+  OS << "Device: " << Name << ", MaxWGSize: " << MaxWGSize
+     << ", LocalMemSize: " << LocalMemSize
+     << ", Driver: " << D.get_info<info::device::driver_version>() << std::endl;
+}
+
+template <int Dims>
+std::ostream &operator<<(std::ostream &OS, const range<Dims> &Range) {
+  OS << "{" << Range[0];
+  if constexpr (Dims > 1)
+    OS << ", " << Range[1];
+  if constexpr (Dims > 2)
+    OS << ", " << Range[2];
+  OS << "}";
+  return OS;
+}
+
+template <int Dims>
+std::ostream &operator<<(std::ostream &OS, const nd_range<Dims> &Range) {
+  OS << "{" << Range.get_global_range() << ", " << Range.get_local_range()
+     << "}";
+  return OS;
+}
+
+template <typename T, typename BinaryOperation, typename RangeT>
+void printTestLabel(const RangeT &Range, bool ToCERR = false) {
+  std::ostream &OS = ToCERR ? std::cerr : std::cout;
+  OS << (ToCERR ? "Error" : "Start") << ", T=" << typeid(T).name()
+     << ", BOp=" << typeid(BinaryOperation).name() << ", Range=" << Range;
+}
+
+template <typename BOp, typename T> constexpr bool isPreciseResultFP() {
+  return (std::is_floating_point_v<T> || std::is_same_v<T, sycl::half>)&&(
+      std::is_same_v<ext::oneapi::minimum<>, BOp> ||
+      std::is_same_v<ext::oneapi::minimum<T>, BOp> ||
+      std::is_same_v<ext::oneapi::maximum<>, BOp> ||
+      std::is_same_v<ext::oneapi::maximum<T>, BOp>);
+}
+
+template <typename BinaryOperation, typename T, typename RangeT>
+int checkResults(queue &Q, BinaryOperation, const RangeT &Range,
+                 const T &ComputedRes, const T &CorrectRes,
+                 std::string AddInfo = "") {
+  std::string ErrorStr;
+  bool Passed;
+
+  if constexpr (std::is_floating_point_v<T> || std::is_same_v<T, sycl::half>) {
+    // It is a pretty simple and naive FP diff check here, which though
+    // should work reasonably well for most of cases handled in reduction
+    // tests.
+    T MaxDiff = std::numeric_limits<T>::epsilon() * std::fabs(CorrectRes);
+    if constexpr (std::is_same_v<RangeT, range<1>> ||
+                  std::is_same_v<RangeT, range<2>> ||
+                  std::is_same_v<RangeT, range<3>>)
+      MaxDiff *= Range.size();
+    else
+      MaxDiff *= Range.get_global_range().size();
+
+    if (isPreciseResultFP<BinaryOperation, T>())
+      MaxDiff = 0;
+    T Diff = std::abs(CorrectRes - ComputedRes);
+    ErrorStr = ", Diff=" + std::to_string(Diff) +
+               ", MaxDiff=" + std::to_string(MaxDiff);
+    Passed = Diff <= MaxDiff;
+  } else {
+    Passed = ComputedRes == CorrectRes;
+  }
+
+  if (!AddInfo.empty())
+    AddInfo = std::string(", ") + AddInfo;
+  std::cout << AddInfo << (Passed ? ". PASSED" : ". FAILED") << std::endl;
+  if (!Passed) {
+    printDeviceInfo(Q, true);
+    printTestLabel<T, BinaryOperation>(Range, true);
+    std::cerr << ", Computed value=" << ComputedRes
+              << ", Expected value=" << CorrectRes << ErrorStr << AddInfo
+              << std::endl;
+  }
+  return Passed ? 0 : 1;
+}
+
+void printFinalStatus(int NumErrors) {
+  if (NumErrors == 0)
+    std::cout << "Test passed" << std::endl;
+  else
+    std::cerr << NumErrors << " test-cases failed" << std::endl;
+}
+
+aspect getUSMAspect(usm::alloc Alloc) {
+  if (Alloc == sycl::usm::alloc::host)
+    return aspect::usm_host_allocations;
+
+  if (Alloc == sycl::usm::alloc::device)
+    return aspect::usm_device_allocations;
+
+  assert(Alloc == usm::alloc::shared && "Unknown USM allocation type");
+  return aspect::usm_shared_allocations;
+}
+
+template <typename T, bool B> class KName;
+template <typename T, typename> class TName;
+
+/// Helper to make the code slightly more readable.
+auto init_to_identity() {
+  return property_list{property::reduction::initialize_to_identity{}};
+}
+
+template <typename Name, typename T, bool HasIdentity, class BinaryOperation,
+          template <int> typename RangeTy, int Dims,
+          typename PropListTy = property_list>
+int testInner(queue &Q, OptionalIdentity<T, HasIdentity> Identity, T Init,
+              BinaryOperation BOp, const RangeTy<Dims> &Range,
+              PropListTy PropList = {}) {
+  constexpr bool IsRange = std::is_same_v<range<Dims>, RangeTy<Dims>>;
+  constexpr bool IsNDRange = std::is_same_v<nd_range<Dims>, RangeTy<Dims>>;
+  static_assert(IsRange || IsNDRange);
+
+  printTestLabel<T, BinaryOperation>(Range);
+
+  // It is a known problem with passing data that is close to 4Gb in size
+  // to device. Such data breaks the execution pretty badly.
+  // Some of test cases calling this function try to verify the correctness
+  // of reduction with the global range bigger than the maximal work-group size
+  // for the device. Maximal WG size for device may be very big, e.g. it is
+  // 67108864 for ACC emulator. Multiplying that by some factor
+  // (to exceed max WG-Size) and multiplying it by the element size may exceed
+  // the safe size of data passed to device.
+  // Let's set it to 1 GB for now, and just skip the test if it exceeds 1Gb.
+  constexpr size_t OneGB = 1LL * 1024 * 1024 * 1024;
+  range<Dims> GlobalRange = [&]() {
+    if constexpr (IsRange)
+      return Range;
+    else
+      return Range.get_global_range();
+  }();
+
+  if (GlobalRange.size() * sizeof(T) > OneGB) {
+    std::cout << " SKIPPED due to too big data size" << std::endl;
+    return 0;
+  }
+
+  // TODO: Perhaps, this is a _temporary_ fix for CI. The test may run
+  // for too long when the range is big. That is especially bad on ACC.
+  if (GlobalRange.size() > 65536 && Q.get_device().is_accelerator()) {
+    std::cout << " SKIPPED due to risk of timeout in CI" << std::endl;
+    return 0;
+  }
+
+  buffer<T, Dims> InBuf(GlobalRange);
+  buffer<T, 1> OutBuf(1);
+
+  // Initialize.
+  T CorrectOut;
+  initInputData(InBuf, CorrectOut, BOp, GlobalRange);
+  if (!PropList.template has_property<
+          property::reduction::initialize_to_identity>()) {
+    CorrectOut = BOp(CorrectOut, Init);
+  }
+
+  // The value assigned here must be discarded (if IsReadWrite is true).
+  // Verify that it is really discarded and assign some value.
+  (OutBuf.template get_access<access::mode::write>())[0] = Init;
+
+  // Compute.
+  Q.submit([&](handler &CGH) {
+    // Helper for creating the reductions depending on the existance of an
+    // identity.
+    auto CreateReduction = [&]() {
+      if constexpr (HasIdentity) {
+        return reduction(OutBuf, CGH, Identity.get(), BOp, PropList);
+      } else {
+        return reduction(OutBuf, CGH, BOp, PropList);
+      }
+    };
+
+    auto In = InBuf.template get_access<access::mode::read>(CGH);
+    auto Redu = CreateReduction();
+    if constexpr (IsRange)
+      CGH.parallel_for<Name>(
+          Range, Redu, [=](id<Dims> Id, auto &Sum) { Sum.combine(In[Id]); });
+    else
+      CGH.parallel_for<Name>(Range, Redu, [=](nd_item<Dims> NDIt, auto &Sum) {
+        Sum.combine(In[NDIt.get_global_id()]);
+      });
+  });
+
+  // Check correctness.
+  auto Out = OutBuf.template get_access<access::mode::read>();
+  T ComputedOut = *(Out.get_pointer());
+  return checkResults(Q, BOp, Range, ComputedOut, CorrectOut);
+}
+
+template <typename Name, typename T, class BinaryOperation,
+          template <int> typename RangeTy, int Dims,
+          typename PropListTy = property_list>
+int test(queue &Q, T Identity, T Init, BinaryOperation BOp,
+         const RangeTy<Dims> &Range, PropListTy PropList = {}) {
+  return testInner<Name>(Q, OptionalIdentity(Identity), Init, BOp, Range,
+                         PropList);
+}
+
+template <typename Name, typename T, class BinaryOperation,
+          template <int> typename RangeTy, int Dims,
+          typename PropListTy = property_list>
+int test(queue &Q, T Init, BinaryOperation BOp, const RangeTy<Dims> &Range,
+         PropListTy PropList = {}) {
+  return testInner<Name>(Q, OptionalIdentity<T>(), Init, BOp, Range, PropList);
+}
+
+template <typename Name, typename T, bool HasIdentity, class BinaryOperation,
+          int Dims, typename PropListTy = property_list>
+int testUSMInner(queue &Q, OptionalIdentity<T, HasIdentity> Identity, T Init,
+                 BinaryOperation BOp, const range<Dims> &Range,
+                 usm::alloc AllocType, PropListTy PropList = {}) {
+  printTestLabel<T, BinaryOperation>(Range);
+
+  auto Dev = Q.get_device();
+  if (!Dev.has(getUSMAspect(AllocType))) {
+    std::cout << " SKIPPED due to unsupported USM alloc type" << std::endl;
+    return 0;
+  }
+
+  // It is a known problem with passing data that is close to 4Gb in size
+  // to device. Such data breaks the execution pretty badly.
+  // Some of test cases calling this function try to verify the correctness
+  // of reduction with the global range bigger than the maximal work-group size
+  // for the device. Maximal WG size for device may be very big, e.g. it is
+  // 67108864 for ACC emulator. Multiplying that by some factor
+  // (to exceed max WG-Size) and multiplying it by the element size may exceed
+  // the safe size of data passed to device.
+  // Let's set it to 1 GB for now, and just skip the test if it exceeds 1Gb.
+  constexpr size_t OneGB = 1LL * 1024 * 1024 * 1024;
+  if (Range.size() * sizeof(T) > OneGB) {
+    std::cout << " SKIPPED due to too big data size" << std::endl;
+    return 0;
+  }
+
+  // TODO: Perhaps, this is a _temporary_ fix for CI. The test may run
+  // for too long when the range is big. That is especially bad on ACC.
+  if (Range.size() > 65536) {
+    std::cout << " SKIPPED due to risk of timeout in CI" << std::endl;
+    return 0;
+  }
+
+  T *ReduVarPtr = (T *)malloc(sizeof(T), Dev, Q.get_context(), AllocType);
+  if (ReduVarPtr == nullptr) {
+    std::cout << " SKIPPED due to unrelated reason: alloc returned nullptr"
+              << std::endl;
+    return 0;
+  }
+  if (AllocType == usm::alloc::device) {
+    Q.submit([&](handler &CGH) {
+       CGH.single_task<TName<Name, class InitKernel>>(
+           [=]() { *ReduVarPtr = Init; });
+     }).wait();
+  } else {
+    *ReduVarPtr = Init;
+  }
+
+  // Initialize.
+  T CorrectOut;
+  buffer<T, Dims> InBuf(Range);
+  initInputData(InBuf, CorrectOut, BOp, Range);
+  if (!PropList.template has_property<
+          property::reduction::initialize_to_identity>()) {
+    CorrectOut = BOp(CorrectOut, Init);
+  }
+
+  // Compute.
+  Q.submit([&](handler &CGH) {
+     // Helper for creating the reductions depending on the existance of an
+     // identity.
+     auto CreateReduction = [&]() {
+       if constexpr (HasIdentity) {
+         return reduction(ReduVarPtr, Identity.get(), BOp, PropList);
+       } else {
+         return reduction(ReduVarPtr, BOp, PropList);
+       }
+     };
+
+     auto In = InBuf.template get_access<access::mode::read>(CGH);
+     auto Redu = CreateReduction();
+     CGH.parallel_for<TName<Name, class Test>>(
+         Range, Redu, [=](id<Dims> Id, auto &Sum) { Sum.combine(In[Id]); });
+   }).wait();
+
+  // Check correctness.
+  T ComputedOut;
+  if (AllocType == usm::alloc::device) {
+    buffer<T, 1> Buf(&ComputedOut, range<1>(1));
+    Q.submit([&](handler &CGH) {
+       auto OutAcc = Buf.template get_access<access::mode::discard_write>(CGH);
+       CGH.single_task<TName<Name, class Check>>(
+           [=]() { OutAcc[0] = *ReduVarPtr; });
+     }).wait();
+    ComputedOut = (Buf.template get_access<access::mode::read>())[0];
+  } else {
+    ComputedOut = *ReduVarPtr;
+  }
+
+  std::string AllocStr =
+      "AllocMode=" + std::to_string(static_cast<int>(AllocType));
+  int Error = checkResults(Q, BOp, Range, ComputedOut, CorrectOut, AllocStr);
+  free(ReduVarPtr, Q.get_context());
+  return Error;
+}
+
+template <typename Name, typename T, class BinaryOperation, int Dims,
+          typename PropListTy = property_list>
+int testUSM(queue &Q, T Identity, T Init, BinaryOperation BOp,
+            const range<Dims> &Range, usm::alloc AllocType,
+            PropListTy PropList = {}) {
+  return testUSMInner<Name>(Q, OptionalIdentity(Identity), Init, BOp, Range,
+                            AllocType, PropList);
+}
+
+template <typename Name, typename T, class BinaryOperation, int Dims,
+          typename PropListTy = property_list>
+int testUSM(queue &Q, T Init, BinaryOperation BOp, const range<Dims> &Range,
+            usm::alloc AllocType, PropListTy PropList = {}) {
+  return testUSMInner<Name>(Q, OptionalIdentity<T>(), Init, BOp, Range,
+                            AllocType, PropList);
+}
diff --git a/sycl/test-e2e/Reduction/regression_after_pr_6343.cpp b/sycl/test-e2e/Reduction/regression_after_pr_6343.cpp
new file mode 100644
index 0000000000000..2c1026528b2f3
--- /dev/null
+++ b/sycl/test-e2e/Reduction/regression_after_pr_6343.cpp
@@ -0,0 +1,50 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  device d(default_selector_v);
+  context ctx{d};
+  queue q{ctx, d};
+
+  int WGSize = 256;
+  // Reduction implementation would spawn several other kernels to reduce
+  // partial sums. At some point the number of partial sums won't be divisible
+  // by the WG size and the code needs to adjust it for that. Ensure that is
+  // done.
+  int N = 22500 * 256;
+
+  auto *data = malloc_device<int>(N, q);
+  auto *r1 = malloc_device<int>(1, q);
+  buffer<int, 1> r2buf(1);
+
+  q.fill(data, 1, N).wait();
+  q.fill(r1, 0, 1).wait();
+
+  q.submit([&](handler &cgh) {
+     cgh.parallel_for(
+         nd_range(range(N), range(WGSize)), reduction(r1, std::plus<int>()),
+         reduction(r2buf, cgh, std::plus<int>(),
+                   {property::reduction::initialize_to_identity{}}),
+         [=](auto id, auto &r1, auto &r2) {
+           r1 += 1;
+           r2 += 2;
+         });
+   }).wait();
+
+  int res1, res2;
+  q.copy(r1, &res1, 1).wait();
+  auto r2acc = host_accessor{r2buf};
+  res2 = r2acc[0];
+  assert(res1 == N && res2 == 2 * N);
+
+  free(r1, q);
+  free(data, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/2020-spec-constants-debug-info.cpp b/sycl/test-e2e/Regression/2020-spec-constants-debug-info.cpp
new file mode 100644
index 0000000000000..b7df8195ae6ca
--- /dev/null
+++ b/sycl/test-e2e/Regression/2020-spec-constants-debug-info.cpp
@@ -0,0 +1,29 @@
+// RUN: %clangxx -fsycl -g %s -o %t.out
+// RUN: %clangxx -fsycl -g -O0 %s -o %t.out
+// RUN: %clangxx -fsycl -g -O2 %s -o %t.out
+//
+// The idea of this test is to make sure that we can compile the following
+// simple example without crashes/assertions firing at llvm-spirv step due to
+// debug info corrupted by sycl-post-link
+
+#include <sycl/sycl.hpp>
+
+constexpr sycl::specialization_id<int> test_id_1{42};
+
+int main() {
+
+  sycl::queue q;
+  {
+    sycl::buffer<double, 1> Buf{sycl::range{1}};
+    q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.set_specialization_constant<test_id_1>(1);
+      cgh.single_task<class Kernel1>([=](sycl::kernel_handler kh) {
+        Acc[0] = kh.get_specialization_constant<test_id_1>();
+      });
+    });
+    auto Acc = Buf.get_access<sycl::access::mode::read>();
+    assert(Acc[0] == 1);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/DAE-separate-compile.cpp b/sycl/test-e2e/Regression/DAE-separate-compile.cpp
new file mode 100644
index 0000000000000..dbc819ba46619
--- /dev/null
+++ b/sycl/test-e2e/Regression/DAE-separate-compile.cpp
@@ -0,0 +1,38 @@
+// There was an issue with dead argument elminitaion optimization, which lead
+// to runtime errors when setting kernel arguments if the app was compiled with
+// optimizations, but linked without them.
+//
+// The test checks that the scenario works correctly.
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O2 -c -o %t.o
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %t.o -O0 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  constexpr int THE_ANSWER = 42;
+
+  sycl::queue q;
+
+  int storage;
+  int storage2;
+  {
+    sycl::buffer buf(&storage, sycl::range<1>(1));
+    sycl::buffer buf2(&storage2, sycl::range<1>(1));
+
+    q.submit([&](sycl::handler &h) {
+      auto acc = buf.get_access(h);
+      auto acc2 = buf2.get_access(h);
+      h.single_task([=]() {
+        (void)acc; // unused
+        acc2[0] = THE_ANSWER;
+      });
+    });
+  }
+
+  return storage2 != THE_ANSWER;
+}
diff --git a/sycl/test-e2e/Regression/atomic_load.cpp b/sycl/test-e2e/Regression/atomic_load.cpp
new file mode 100644
index 0000000000000..4416a9b74ff00
--- /dev/null
+++ b/sycl/test-e2e/Regression/atomic_load.cpp
@@ -0,0 +1,29 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+template <typename T> class foo;
+
+template <typename T> void kernel_func(T val) {
+  queue testQueue;
+
+  T data = val;
+  buffer<T, 1> buf(&data, range<1>(1));
+
+  testQueue.submit([&](handler &cgh) {
+    auto GlobAcc = buf.template get_access<access::mode::atomic>(cgh);
+    cgh.single_task<class foo<T>>([=]() {
+      auto a = GlobAcc[0];
+      T var = a.load();
+    });
+  });
+}
+
+int main() {
+  kernel_func<float>(5.5);
+  kernel_func<int>(42);
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/barrier_with_work.cpp b/sycl/test-e2e/Regression/barrier_with_work.cpp
new file mode 100644
index 0000000000000..3a39d5f0dcd38
--- /dev/null
+++ b/sycl/test-e2e/Regression/barrier_with_work.cpp
@@ -0,0 +1,72 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.event_list.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.event_list.out
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_MULTIPLE_COMMANDLIST_BARRIERS=1 %GPU_RUN_PLACEHOLDER %t.event_list.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.event_list.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DUSE_QUEUE_WIDE_BARRIER %s -o %t.queue_wide.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.queue_wide.out
+// RUN: env SYCL_PI_LEVEL_ZERO_USE_MULTIPLE_COMMANDLIST_BARRIERS=1 %GPU_RUN_PLACEHOLDER %t.queue_wide.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.queue_wide.out
+//
+// Tests that barriers block all following execution on queues with active work.
+// For L0 we currently need to set
+// SYCL_PI_LEVEL_ZERO_USE_MULTIPLE_COMMANDLIST_BARRIERS to enable fix on certain
+// hardware.
+
+#include <sycl/sycl.hpp>
+
+constexpr size_t NElemsPerSplit = 1000;
+constexpr size_t Splits = 8;
+constexpr size_t NElems = NElemsPerSplit * Splits;
+constexpr size_t InnerIters = 90000;
+
+int main(int argc, char **argv) {
+  sycl::queue Q;
+
+  float *ThrowawayDevMem = sycl::malloc_device<float>(NElems, Q);
+  int *DevMem = sycl::malloc_device<int>(NElems, Q);
+  int *HostMem = sycl::malloc_host<int>(NElems, Q);
+  Q.fill<int>(DevMem, 0, NElems);
+  Q.fill<int>(HostMem, 0, NElems);
+  Q.wait();
+
+  std::vector<sycl::event> Events(Splits);
+  for (size_t I = 0; I < Splits; ++I) {
+    Events[I] = Q.submit([&](sycl::handler &cgh) {
+      cgh.parallel_for(NElemsPerSplit, [=](sycl::id<1> Idx) {
+        int X = 0;
+        float Y = 1.0f;
+        while (X < InnerIters) {
+          ++X;
+          Y = sycl::tan(Y);
+        }
+        int AdjustedIdx = Idx + I * NElemsPerSplit;
+        ThrowawayDevMem[AdjustedIdx] = Y;
+        DevMem[AdjustedIdx] = X + AdjustedIdx;
+      });
+    });
+  }
+
+#ifdef USE_QUEUE_WIDE_BARRIER
+  Q.ext_oneapi_submit_barrier();
+#else
+  Q.ext_oneapi_submit_barrier(Events);
+#endif
+
+  Q.memcpy(HostMem, DevMem, NElems * sizeof(int));
+  Q.wait();
+
+  int Result = 0;
+  for (int I = 0; I < NElems; I++) {
+    if (HostMem[I] != InnerIters + I) {
+      std::cout << "Failed at " << I << " with " << HostMem[I] << std::endl;
+      Result = 1;
+      break;
+    }
+  }
+
+  sycl::free(ThrowawayDevMem, Q);
+  sycl::free(DevMem, Q);
+  sycl::free(HostMem, Q);
+
+  return Result;
+}
diff --git a/sycl/test-e2e/Regression/build_log.cpp b/sycl/test-e2e/Regression/build_log.cpp
new file mode 100644
index 0000000000000..cb3bd071af8f5
--- /dev/null
+++ b/sycl/test-e2e/Regression/build_log.cpp
@@ -0,0 +1,154 @@
+// REQUIRES: gpu
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.exe
+// RUN: %GPU_RUN_PLACEHOLDER %t.exe 2> %t.out || true
+
+// RUN: FileCheck %s --check-prefix=CHECK-EXPECTED-ERROR --input-file %t.out
+// CHECK-EXPECTED-ERROR: error: backend compiler failed build
+
+// XFAIL: *
+
+#include <stdio.h>
+#include <sycl/sycl.hpp>
+
+long long int app_var_3 = 7450649278945924256LL;
+long long int app_var_4 = -7822479480217888654LL;
+unsigned long long int app_var_6 = 16042174700188974009ULL;
+unsigned char app_var_9 = (unsigned char)209;
+bool app_var_10 = (bool)1;
+unsigned int app_var_11 = 3357916866U;
+int app_var_12 = 1490439599;
+bool app_var_13 = (bool)0;
+unsigned short app_var_14 = (unsigned short)13255;
+signed char app_var_15 = (signed char)-82;
+short app_var_16 = (short)-9459;
+unsigned short app_var_17 = (unsigned short)33701;
+long long int app_var_18 = -8262062769670300563LL;
+unsigned long long int app_var_19 = 16817880494818592221ULL;
+short app_var_20 = (short)10201;
+short app_var_21 = (short)20564;
+bool app_var_22 = (bool)1;
+unsigned char app_var_23 = (unsigned char)21;
+unsigned char app_var_24 = (unsigned char)69;
+unsigned short app_var_25 = (unsigned short)35772;
+unsigned int app_var_26 = 3471154395U;
+unsigned char app_var_27 = (unsigned char)14;
+int app_var_28 = -402832105;
+unsigned char app_var_29 = (unsigned char)64;
+unsigned int app_var_30 = 2041401567U;
+unsigned long long int app_var_31 = 16124465128117296508ULL;
+unsigned char app_var_32 = (unsigned char)129;
+signed char app_var_33 = (signed char)-87;
+int app_var_34 = 1679760643;
+unsigned char app_var_35 = (unsigned char)71;
+unsigned char app_var_36 = (unsigned char)245;
+unsigned short app_var_37 = (unsigned short)9667;
+long long int app_var_38 = -5600606352884923795LL;
+
+void test() {
+  using namespace sycl;
+#if CPU
+  cpu_selector a;
+#else
+  gpu_selector a;
+#endif
+  queue b(a);
+  buffer c{&app_var_3, range(1)};
+  buffer d{&app_var_4, range(1)};
+  buffer e{&app_var_6, range(1)};
+  buffer f{&app_var_9, range(1)};
+  buffer g{&app_var_10, range(1)};
+  buffer h{&app_var_11, range(1)};
+  buffer i{&app_var_12, range(1)};
+  buffer j{&app_var_13, range(1)};
+  buffer k{&app_var_14, range(1)};
+  buffer l{&app_var_15, range(1)};
+  buffer m{&app_var_16, range(1)};
+  buffer n{&app_var_17, range(1)};
+  buffer o{&app_var_18, range(1)};
+  buffer p{&app_var_19, range(1)};
+  buffer q{&app_var_20, range(1)};
+  buffer r{&app_var_21, range(1)};
+  buffer s{&app_var_22, range(1)};
+  buffer t{&app_var_23, range(1)};
+  buffer u{&app_var_24, range(1)};
+  buffer v{&app_var_25, range(1)};
+  buffer w{&app_var_26, range(1)};
+  buffer x{&app_var_27, range(1)};
+  buffer y{&app_var_28, range(1)};
+  buffer z{&app_var_29, range(1)};
+  buffer aa{&app_var_30, range(1)};
+  buffer ab{&app_var_31, range(1)};
+  buffer ac{&app_var_32, range(1)};
+  buffer ad{&app_var_33, range(1)};
+  buffer ae{&app_var_34, range(1)};
+  buffer af{&app_var_35, range(1)};
+  buffer ag{&app_var_36, range(1)};
+  buffer ah{&app_var_37, range(1)};
+  buffer ai{&app_var_38, range(1)};
+  b.submit([&](handler &aj) {
+    auto ak = c.get_access<access::mode::read>(aj);
+    auto al = d.get_access<access::mode::read>(aj);
+    auto am = e.get_access<access::mode::read>(aj);
+    auto an = f.get_access<access::mode::read>(aj);
+    auto ao = g.get_access<access::mode::read>(aj);
+    auto ap = h.get_access<access::mode::read>(aj);
+    auto aq = i.get_access<access::mode::read>(aj);
+    auto ar = j.get_access<access::mode::read>(aj);
+    auto as = k.get_access<access::mode::read>(aj);
+    auto at = l.get_access<access::mode::read>(aj);
+    auto au = m.get_access<access::mode::write>(aj);
+    auto av = n.get_access<access::mode::write>(aj);
+    auto aw = o.get_access<access::mode::write>(aj);
+    auto ax = p.get_access<access::mode::write>(aj);
+    auto ay = q.get_access<access::mode::write>(aj);
+    auto az = r.get_access<access::mode::write>(aj);
+    auto ba = s.get_access<access::mode::write>(aj);
+    auto bb = t.get_access<access::mode::write>(aj);
+    auto bc = u.get_access<access::mode::write>(aj);
+    auto bd = v.get_access<access::mode::write>(aj);
+    auto be = w.get_access<access::mode::write>(aj);
+    auto bf = x.get_access<access::mode::write>(aj);
+    auto bg = y.get_access<access::mode::write>(aj);
+    auto bh = z.get_access<access::mode::write>(aj);
+    auto bi = aa.get_access<access::mode::write>(aj);
+    auto bj = ab.get_access<access::mode::write>(aj);
+    auto bk = ac.get_access<access::mode::write>(aj);
+    auto bl = ad.get_access<access::mode::write>(aj);
+    auto bm = ae.get_access<access::mode::write>(aj);
+    auto bn = af.get_access<access::mode::write>(aj);
+    auto bo = ag.get_access<access::mode::write>(aj);
+    auto bp = ah.get_access<access::mode::write>(aj);
+    auto bq = ai.get_access<access::mode::write>(aj);
+    aj.single_task<class br>([=] {
+      au[0] = am[0];
+      if (ao[0] ? as[0] ? ar[0] : 9 : ap[0])
+        av;
+      aw;
+      if (aq[0])
+        if (an[0])
+          ax;
+      ay;
+      az;
+      ba[0] = al[0];
+      bb[0] = at[0];
+      bc;
+      bd;
+      be;
+      bf;
+      bg;
+      bh;
+      bi;
+      bj;
+      bk;
+      bl;
+      bm;
+      if (ak[0])
+        bn;
+      bo;
+      bp;
+      bq;
+    });
+  });
+}
+
+int main() { test(); }
diff --git a/sycl/test-e2e/Regression/cache_test.cpp b/sycl/test-e2e/Regression/cache_test.cpp
new file mode 100644
index 0000000000000..5c6ed75a96503
--- /dev/null
+++ b/sycl/test-e2e/Regression/cache_test.cpp
@@ -0,0 +1,154 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// REQUIRES: level_zero, level_zero_dev_kit
+
+#include <algorithm>
+#include <iostream>
+#include <level_zero/ze_api.h>
+#include <stdio.h>
+#include <sycl/ext/oneapi/backend/level_zero.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl::ext::oneapi;
+
+/*
+  The purpose of this test is to verify the expected behvior for
+  creating/caching platform and device objects. The available platforms and
+  devices (returned from get_platforms() and get_devices()) should remain
+  consistent throughout the lifetime of the application. Any new platform or
+  device queried should be one that is a part of the original list of platforms
+  and devices generated from get_platforms() and get_devices(). This test will
+  verify that in the following ways:
+    - Query for a list of all of the available platforms and devices
+    - Create a Queue using a default device selector and verify that the device
+      and platform associated with the queue can be found in the original
+      devices and platforms lists.
+    - Create both a platform and a device object using a native handle, and
+      verify that they are in the original platform and device lists.
+  This test will fail if it tries to create a platform or device that was not
+  in the list of platforms and devices queried in the begininning.
+*/
+
+// Query the device and platform from a queue (constructed with a default device
+// selector) and check if they can be found in the devices and platforms lists
+// that were generated above.
+int queryFromQueue(std::vector<sycl::platform> *platform_list,
+                   std::vector<sycl::device> *device_list) {
+  int failures = 0;
+  sycl::queue Q{sycl::default_selector_v};
+  sycl::device dev = Q.get_info<sycl::info::queue::device>();
+  auto plt = dev.get_platform();
+
+  std::cout << "Platform queried from Queue : "
+            << plt.get_info<sycl::info::platform::name>() << std::endl;
+  auto plt_result = std::find_if(platform_list->begin(), platform_list->end(),
+                                 [&](sycl::platform &p) { return p == plt; });
+  if (plt_result != platform_list->end()) {
+    std::cout << "The platform list contains: "
+              << plt.get_info<sycl::info::platform::name>() << std::endl;
+  } else {
+    std::cout << plt.get_info<sycl::info::platform::name>()
+              << " was not in the platform list.\n";
+    failures++;
+  }
+
+  std::cout << "Device queried from Queue : "
+            << plt.get_info<sycl::info::platform::name>() << std::endl;
+  auto dev_result = std::find_if(device_list->begin(), device_list->end(),
+                                 [&](sycl::device &d) { return d == dev; });
+  if (dev_result != device_list->end()) {
+    std::cout << "The device list contains: "
+              << dev.get_info<sycl::info::device::name>() << std::endl;
+  } else {
+    std::cout << dev.get_info<sycl::info::device::name>()
+              << " was not in the device list.\n";
+    failures++;
+  }
+  return failures;
+}
+
+// Create both a platform and a device object using a native handle, and check
+// if those are in the platform and device lists.
+int queryFromNativeHandle(std::vector<sycl::platform> *platform_list,
+                          std::vector<sycl::device> *device_list) {
+  int failures = 0;
+  uint32_t l0_driver_count = 0;
+  zeDriverGet(&l0_driver_count, nullptr);
+  if (l0_driver_count == 0) {
+    std::cout << "There is no Level Zero Driver available\n";
+    return failures;
+  }
+  std::vector<ze_driver_handle_t> l0_drivers(l0_driver_count);
+  zeDriverGet(&l0_driver_count, l0_drivers.data());
+
+  uint32_t l0_device_count = 0;
+  zeDeviceGet(l0_drivers[0], &l0_device_count, nullptr);
+  if (l0_device_count == 0) {
+    std::cout << "There is no Level Zero Device available\n";
+    return failures;
+  }
+  std::vector<ze_device_handle_t> l0_devices(l0_device_count);
+  zeDeviceGet(l0_drivers[0], &l0_device_count, l0_devices.data());
+
+  // Create the platform and device objects using the native handle.
+  auto plt = level_zero::make<sycl::platform>(l0_drivers[0]);
+  auto dev = level_zero::make<sycl::device>(plt, l0_devices[0]);
+
+  // Check to see if this platform is in the platform list.
+  std::cout << "Platform created with native handle: "
+            << plt.get_info<sycl::info::platform::name>() << std::endl;
+  auto plt_result = std::find_if(platform_list->begin(), platform_list->end(),
+                                 [&](sycl::platform &p) { return p == plt; });
+  if (plt_result != platform_list->end()) {
+    std::cout << "The platform list contains: "
+              << plt.get_info<sycl::info::platform::name>() << std::endl;
+  } else {
+    std::cout << plt.get_info<sycl::info::platform::name>()
+              << " was not in the platform list.\n";
+    failures++;
+  }
+
+  // Check to see if this device is in the device list.
+  std::cout << "Device created with native handle: "
+            << dev.get_info<sycl::info::device::name>() << std::endl;
+  auto dev_result = std::find_if(device_list->begin(), device_list->end(),
+                                 [&](sycl::device &d) { return d == dev; });
+  if (dev_result != device_list->end()) {
+    std::cout << "The device list contains: "
+              << dev.get_info<sycl::info::device::name>() << std::endl;
+  } else {
+    std::cout << dev.get_info<sycl::info::device::name>()
+              << " was not in the device list.\n";
+    failures++;
+  }
+  return failures;
+}
+
+int main() {
+  int failures = 0;
+
+  // Query for a list of all of the available platforms and devices.
+  int pindex = 1;
+  std::vector<sycl::platform> platform_list;
+  std::vector<sycl::device> device_list;
+  for (const auto &plt : sycl::platform::get_platforms()) {
+    std::cout << "Platform " << pindex++ << " "
+              << " (" << plt.get_info<sycl::info::platform::name>() << ")"
+              << std::endl;
+    platform_list.push_back(plt);
+
+    int dindex = 1;
+    for (const auto &dev : plt.get_devices()) {
+      std::cout << "  "
+                << "Device " << dindex++ << " ("
+                << dev.get_info<sycl::info::device::name>() << ")" << std::endl;
+      device_list.push_back(dev);
+    }
+  }
+
+  failures = queryFromQueue(&platform_list, &device_list);
+  failures += queryFromNativeHandle(&platform_list, &device_list);
+
+  return failures;
+}
diff --git a/sycl/test-e2e/Regression/check_vector_of_opencl_event.cpp b/sycl/test-e2e/Regression/check_vector_of_opencl_event.cpp
new file mode 100644
index 0000000000000..b29a1916e68c8
--- /dev/null
+++ b/sycl/test-e2e/Regression/check_vector_of_opencl_event.cpp
@@ -0,0 +1,31 @@
+// REQUIRES: opencl
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//===----------------------------------------------------------------------===//
+// This test verifies that sycl::get_native<backend::opencl> and
+// sycl::make_event<backend::opencl> work according to the SYCLâ„¢ 2020
+// Specification (revision 4)
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Queue;
+  sycl::event event = Queue.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class event_kernel>([]() {});
+  });
+  // Check that get_native function returns a vector
+  std::vector<cl_event> ClEventVec = get_native<sycl::backend::opencl>(event);
+  // Check that make_event is working properly with vector<cl_event> as a
+  // param
+  sycl::event SyclEvent =
+      sycl::make_event<sycl::backend::opencl>(ClEventVec, Queue.get_context());
+  std::vector<cl_event> ClEventVecFromMake =
+      sycl::get_native<sycl::backend::opencl>(SyclEvent);
+  if (ClEventVec[0] != ClEventVecFromMake[0])
+    throw std::runtime_error("Cl events are not the same");
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/commandlist/Inputs/FindPrimesSYCL.cpp b/sycl/test-e2e/Regression/commandlist/Inputs/FindPrimesSYCL.cpp
new file mode 100644
index 0000000000000..044b38d948885
--- /dev/null
+++ b/sycl/test-e2e/Regression/commandlist/Inputs/FindPrimesSYCL.cpp
@@ -0,0 +1,112 @@
+#include "FindPrimesSYCL.h"
+
+#include <array>
+#include <chrono>
+#include <iostream>
+#include <numeric>
+#include <vector>
+
+#include <string>
+constexpr sycl::access::mode sycl_read = sycl::access::mode::read;
+constexpr sycl::access::mode sycl_write = sycl::access::mode::write;
+
+using namespace std;
+
+/* This is the class used to name the kernel for the runtime.
+ * This must be done when the kernel is expressed as a lambda. */
+class FindPrimeI;
+
+float find_prime_s(work *w) {
+
+  // need this for the lambda capture and sycl queue submit
+  auto &VRI = w->VRI;
+  auto N = w->VRI.size();
+  auto niter = w->niter;
+  auto nitems = w->nitems;
+
+  sycl::range<1> numOfItems{nitems};
+  sycl::buffer<sycl::opencl::cl_short, 1> bufferR(VRI.data(), N);
+
+  auto start = std::chrono::high_resolution_clock::now();
+
+  sycl::event event;
+
+#ifdef __SYCL_DEVICE_ONLY__
+#define CONSTANT __attribute__((opencl_constant))
+#else
+#define CONSTANT
+#endif
+
+  if (w->queueLock) {
+    w->queueLock->lock();
+  }
+  event = w->deviceQueue->submit([&](sycl::handler &cgh) {
+    auto accessorR = bufferR.template get_access<sycl_write>(cgh);
+    sycl::stream cout(1024, 256, cgh);
+
+    auto k2 = [=](sycl::item<1> item) {
+      size_t maxstride = 1 + N / nitems;
+      for (size_t istride = 0; istride < maxstride; ++istride) {
+        unsigned int number = istride * nitems + item.get_linear_id();
+        if (number < N) {
+          for (size_t i = 0; i < niter; ++i) {
+            bool is_prime = !(number % 2 == 0);
+            const int upper_bound = sycl::sqrt(1.0 * number) + 1;
+            int k = 3;
+            while (k < upper_bound && is_prime) {
+              is_prime = !(number % k == 0);
+              k += 2; // don't have to test even numbers
+            }
+            accessorR[number] = is_prime;
+          }
+        } else {
+          break;
+        }
+      }
+    };
+    cgh.parallel_for<class FindPrimeI>(numOfItems, k2);
+  });
+  if (w->queueLock) {
+    w->queueLock->unlock();
+  }
+
+  //  deviceQueue.wait();
+  try {
+    event.wait_and_throw();
+  } catch (sycl::exception const &e) {
+    std::cout << "Caught asynchronous SYCL exception:\n"
+              << e.what() << std::endl;
+  }
+
+  auto stop = std::chrono::high_resolution_clock::now();
+
+  auto submit_time =
+      event.get_profiling_info<sycl::info::event_profiling::command_submit>();
+  auto start_time =
+      event.get_profiling_info<sycl::info::event_profiling::command_start>();
+  auto end_time =
+      event.get_profiling_info<sycl::info::event_profiling::command_end>();
+
+  w->start_time = start_time;
+  w->end_time = end_time;
+  w->submit_time = submit_time;
+  w->start = start;
+  w->stop = stop;
+
+  // std::cout << "submit time: " << submission_time
+  //           << std::endl;
+  // std::cout << "execut time: " << execution_time
+  //           <<    std::endl;
+
+  w->result = 0;
+  for (auto &e : w->VRI) {
+    if (e) {
+      ++w->result;
+    }
+  }
+
+  std::chrono::duration<double> diff{0};
+  diff = (stop - start);
+
+  return diff.count();
+}
diff --git a/sycl/test-e2e/Regression/commandlist/Inputs/FindPrimesSYCL.h b/sycl/test-e2e/Regression/commandlist/Inputs/FindPrimesSYCL.h
new file mode 100644
index 0000000000000..43abce22dbd96
--- /dev/null
+++ b/sycl/test-e2e/Regression/commandlist/Inputs/FindPrimesSYCL.h
@@ -0,0 +1,35 @@
+#ifndef FINDPRIMESSYCL_H
+#define FINDPRIMESSYCL_H
+
+#include <sycl/sycl.hpp>
+
+#include <chrono>
+#include <mutex>
+#include <vector>
+
+struct work {
+  int id;
+
+  size_t size;
+  size_t niter;
+  size_t nitems;
+
+  std::vector<sycl::opencl::cl_short> VRI;
+
+  size_t result;
+
+  bool success{false};
+
+  std::chrono::high_resolution_clock::time_point start, stop;
+  float elapsed{0.}, wait{0.}, run{0.};
+
+  unsigned long submit_time{0}, start_time{0}, end_time{0};
+
+  std::mutex *queueLock{nullptr};
+
+  sycl::queue *deviceQueue{nullptr};
+};
+
+float find_prime_s(work *w);
+
+#endif
diff --git a/sycl/test-e2e/Regression/commandlist/Inputs/main.cpp b/sycl/test-e2e/Regression/commandlist/Inputs/main.cpp
new file mode 100644
index 0000000000000..9e609352a8640
--- /dev/null
+++ b/sycl/test-e2e/Regression/commandlist/Inputs/main.cpp
@@ -0,0 +1,210 @@
+#include "FindPrimesSYCL.h"
+
+#include <atomic>
+#include <chrono>
+#include <cstdlib>
+#include <functional>
+#include <iomanip>
+#include <iostream>
+#include <thread>
+#include <vector>
+
+#define DEBUG 0
+
+using namespace std;
+
+class gpu_tsk {
+public:
+  gpu_tsk(work &w) : m_work(w) {}
+  void operator()() const {
+    find_prime_s(&m_work);
+    m_work.run = (m_work.end_time - m_work.start_time) / 1000000000.0f;
+    m_work.wait = (m_work.start_time - m_work.submit_time) / 1000000000.0f;
+    m_work.elapsed = m_work.run + m_work.wait;
+  }
+
+private:
+  work &m_work;
+};
+
+static std::atomic<float> cpusum{0.};
+
+bool sortBySubmitTime(work &w1, work &w2) {
+  return w1.submit_time < w2.submit_time;
+}
+
+int main(int argc, char *argv[]) {
+
+  int opt;
+  bool lock{true};
+  bool sharedQueue{true};
+  // int nthreadsGPU = 1;
+  int nthreadsGPU = 8;
+  int arr_size = 20;
+  int iter_gpu = 200;
+  unsigned int gpu_dev = 999;
+  unsigned int nitems = 0;
+  bool passed = true;
+
+  // Size of arrays
+  size_t N = 1 << arr_size;
+
+  sycl::device sel_dev;
+  std::mutex *queueLock{nullptr};
+
+  if (lock) {
+    queueLock = new std::mutex;
+  }
+
+  if (nitems == 0) {
+    nitems = N;
+  }
+  if (nitems > N) {
+    nitems = N;
+  }
+
+#ifdef DEBUG
+  cout << "NThreads: GPU " << nthreadsGPU << endl;
+  cout << "   shared Queue: " << std::boolalpha << sharedQueue << endl;
+  cout << "   array size: " << N << " (1<<" << arr_size << ")" << endl;
+  cout << "   SyCL items: " << nitems << endl;
+  cout << "   iter GPU:   " << iter_gpu << "\n";
+#endif
+
+  std::vector<sycl::device> dlist;
+  if (gpu_dev == 999) {
+    try {
+      auto sel = sycl::gpu_selector();
+      sel_dev = sel.select_device();
+    } catch (...) {
+      cout << "no gpu device found\n";
+    }
+  } else {
+    if (gpu_dev > dlist.size() - 1) {
+      cout << "ERROR: selected device index [" << gpu_dev << "] is too large\n";
+      exit(1);
+    }
+    sel_dev = dlist[gpu_dev];
+  }
+  std::cout << "selected dev: " << sel_dev.get_info<sycl::info::device::name>()
+            << "\n";
+
+  std::cout << std::endl;
+
+  auto exception_handler = [](sycl::exception_list exceptions) {
+    for (std::exception_ptr const &e : exceptions) {
+      try {
+        std::rethrow_exception(e);
+      } catch (sycl::exception const &e) {
+        std::cout << "Caught asynchronous SYCL exception:\n"
+                  << e.what() << std::endl;
+      }
+    }
+  };
+
+  auto property_list =
+      sycl::property_list{sycl::property::queue::enable_profiling()};
+  sycl::queue deviceQueue(sel_dev, exception_handler, property_list);
+
+  std::cout << "\n";
+
+  vector<work> vwork;
+
+  std::chrono::duration<double> diff{0};
+
+  work w[nthreadsGPU];
+  for (int i = 0; i < nthreadsGPU; ++i) {
+    w[i].id = i;
+    w[i].size = N;
+    w[i].niter = iter_gpu;
+    w[i].nitems = nitems;
+    w[i].VRI.resize(N);
+    w[i].success = false;
+    w[i].queueLock = queueLock;
+    if (sharedQueue) {
+      w[i].deviceQueue = &deviceQueue;
+    } else {
+      w[i].deviceQueue = new sycl::queue(deviceQueue);
+    }
+    vwork.push_back(w[i]);
+  }
+
+  std::vector<thread> tv, tc;
+  tv.reserve(nthreadsGPU);
+
+  auto start = std::chrono::high_resolution_clock::now();
+
+  for (int i = 0; i < nthreadsGPU; ++i) {
+    tv.push_back(thread{gpu_tsk(vwork[i])});
+  }
+
+  for (auto &v : tv) {
+    v.join();
+  }
+
+  auto stop = std::chrono::high_resolution_clock::now();
+
+  float avgtime{0.};
+
+  std::sort(vwork.begin(), vwork.end(), sortBySubmitTime);
+
+  auto mint = vwork[0].submit_time;
+  auto minstart = vwork[0].start;
+
+#ifdef DEBUG
+  printf("%26s %4s   %4s   %4s   %4s\n", " ", "subm", "strt", "end", "run");
+#endif
+
+  for (auto &w : vwork) {
+    if (w.submit_time < mint) {
+      mint = w.submit_time;
+    }
+    if (w.start < minstart) {
+      minstart = w.start;
+    }
+
+    int nPrimes = 0;
+    for (size_t i = 2; i < w.size; ++i) {
+      if (w.VRI[i]) {
+        nPrimes++;
+      }
+    }
+    avgtime += w.run;
+
+#ifdef DEBUG
+    std::chrono::duration<double> d1 = w.start - minstart;
+    std::chrono::duration<double> d2 = w.stop - minstart;
+    std::chrono::duration<double> d3 = w.stop - w.start;
+
+    std::cout << "GPU[" << w.id << "]:  nPrimes: " << nPrimes << "  "
+              << std::fixed << std::setprecision(2) << std::setw(6)
+              << float(w.submit_time - mint) / 1000000000. << " "
+              << std::setw(6) << float(w.start_time - mint) / 1000000000. << " "
+              << std::setw(6) << float(w.end_time - mint) / 1000000000. << " "
+              << std::setw(6) << float(w.end_time - w.start_time) / 1000000000.
+              << "    " << std::setw(6) << d1.count() << " " << std::setw(6)
+              << d2.count() << " " << std::setw(6) << d3.count() << std::endl;
+#endif
+
+    if (!sharedQueue)
+      delete w.deviceQueue;
+
+    if (nPrimes != 82024) {
+      passed = false;
+    }
+  }
+
+#ifdef DEBUG
+  diff = (stop - start);
+  std::cout << "GPU average time: " << avgtime / vwork.size() << std::endl;
+  std::cout << "total time: " << diff.count() << std::endl;
+#endif
+
+  if (passed) {
+    std::cout << "Passed" << std::endl;
+  } else {
+    std::cout << "Failed" << std::endl;
+    exit(1);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/commandlist/gpu.cpp b/sycl/test-e2e/Regression/commandlist/gpu.cpp
new file mode 100644
index 0000000000000..a445c76637092
--- /dev/null
+++ b/sycl/test-e2e/Regression/commandlist/gpu.cpp
@@ -0,0 +1,6 @@
+// REQUIRES: gpu, linux
+// UNSUPPORTED: hip
+// UNSUPPORTED: ze_debug-1,ze_debug4
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %S/Inputs/FindPrimesSYCL.cpp %S/Inputs/main.cpp -o %t.out -lpthread
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
diff --git a/sycl/test-e2e/Regression/complex_global_object.cpp b/sycl/test-e2e/Regression/complex_global_object.cpp
new file mode 100644
index 0000000000000..9d35d18fd31d2
--- /dev/null
+++ b/sycl/test-e2e/Regression/complex_global_object.cpp
@@ -0,0 +1,34 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// XFAIL: gpu && linux
+
+// SYCL runtime may construct global objects at function scope. The test ensures
+// such objects do not cause problems if the first call to SYCL is inside main
+// and the last call is in global destructor.
+
+// REQUIRES: TEMPORARY_DISABLED
+// Disable test due to flacky failures
+#include <sycl/sycl.hpp>
+
+class ComplexClass {
+public:
+  ~ComplexClass() {
+    auto Device = sycl::default_selector{}.select_device();
+    sycl::queue Queue{Device};
+    sycl::buffer<int, 1> Buf{sycl::range<1>{16}};
+    Queue.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class Dummy>([=]() { Acc[0] = 42; });
+    });
+  }
+};
+
+ComplexClass Obj;
+
+int main() {
+  ComplexClass Obj2;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/context_is_destroyed_after_exception.cpp b/sycl/test-e2e/Regression/context_is_destroyed_after_exception.cpp
new file mode 100644
index 0000000000000..11ef3cc1eddb0
--- /dev/null
+++ b/sycl/test-e2e/Regression/context_is_destroyed_after_exception.cpp
@@ -0,0 +1,34 @@
+// REQUIRES: gpu
+
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  const auto GlobalRange = 1;
+  const auto LocalRange = 2;
+
+  sycl::queue myQueue{sycl::gpu_selector_v, [](sycl::exception_list elist) {
+                        for (auto e : elist)
+                          std::rethrow_exception(e);
+                      }};
+
+  try {
+    // Generating an exception caused by the fact that LocalRange size (== 2)
+    // can't be greater than GlobalRange size (== 1)
+    myQueue.parallel_for<class TestKernel>(
+        sycl::nd_range<1>{sycl::range<1>(GlobalRange),
+                          sycl::range<1>(LocalRange)},
+        [=](sycl::nd_item<1> idx) {});
+    myQueue.wait_and_throw();
+    assert(false && "Expected exception was not caught");
+  } catch (sycl::exception &e) {
+  }
+
+  return 0;
+}
+
+// CHECK:---> piContextRelease(
diff --git a/sycl/test-e2e/Regression/device_num.cpp b/sycl/test-e2e/Regression/device_num.cpp
new file mode 100755
index 0000000000000..952b6a13ea926
--- /dev/null
+++ b/sycl/test-e2e/Regression/device_num.cpp
@@ -0,0 +1,218 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env PRINT_FULL_DEVICE_INFO=1  %t.out > %t1.conf
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:0" env TEST_DEV_CONFIG_FILE_NAME=%t1.conf %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:1" env TEST_DEV_CONFIG_FILE_NAME=%t1.conf %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:2" env TEST_DEV_CONFIG_FILE_NAME=%t1.conf %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="*:3" env TEST_DEV_CONFIG_FILE_NAME=%t1.conf %t.out
+
+// Temporarily disable on L0 and HIP due to fails in CI
+// UNSUPPORTED: level_zero, hip
+
+#include <fstream>
+#include <iostream>
+#include <map>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace std;
+
+const std::map<info::device_type, std::string> DeviceTypeStringMap = {
+    {info::device_type::cpu, "cpu"},
+    {info::device_type::gpu, "gpu"},
+    {info::device_type::host, "host"},
+    {info::device_type::accelerator, "acc"}};
+
+const std::map<backend, std::string> BackendStringMap = {
+    {backend::opencl, "opencl"},
+    {backend::host, "host"},
+    {backend::ext_oneapi_level_zero, "ext_oneapi_level_zero"},
+    {backend::ext_oneapi_unified_runtime, "ext_oneapi_unified_runtime"},
+    {backend::ext_intel_esimd_emulator, "ext_intel_esimd_emulator"},
+    {backend::ext_oneapi_cuda, "ext_oneapi_cuda"},
+    {backend::ext_oneapi_hip, "ext_oneapi_hip"}};
+
+std::string getDeviceTypeName(const device &d) {
+  auto DeviceType = d.get_info<info::device::device_type>();
+  std::string DeviceTypeName = "unknown";
+  auto it = DeviceTypeStringMap.find(DeviceType);
+  if (it != DeviceTypeStringMap.end())
+    DeviceTypeName = it->second;
+  return DeviceTypeName;
+}
+
+void printDeviceType(const device &d) {
+  string name = d.get_platform().get_info<info::platform::name>();
+  std::cout << getDeviceTypeName(d) << ", " << name << std::endl;
+}
+
+// Applicable for backend and device info.
+template <typename DevInfoEntry>
+DevInfoEntry
+getDeviceInfoByName(const std::string &name,
+                    const std::map<DevInfoEntry, std::string> &mapWithNames) {
+  auto it = std::find_if(
+      mapWithNames.begin(), mapWithNames.end(),
+      [&name](auto &entry) { return entry.second.compare(name) == 0; });
+  // Invalid or unknown configuration if not found.
+  assert(it != mapWithNames.end());
+  return it->first;
+}
+
+void PrintSystemConfiguration() {
+  const auto &Platforms = platform::get_platforms();
+
+  // Keep track of the number of devices per backend.
+  std::map<backend, size_t> DeviceNums;
+
+  for (const auto &Platform : Platforms) {
+    backend Backend = Platform.get_backend();
+    auto PlatformName = Platform.get_info<info::platform::name>();
+    const auto &Devices = Platform.get_devices();
+    for (const auto &Device : Devices) {
+      std::cout << Backend << ":" << getDeviceTypeName(Device) << ":"
+                << DeviceNums[Backend] << std::endl;
+      ++DeviceNums[Backend];
+    }
+  }
+}
+
+using DevInfo = std::pair<info::device_type, backend>;
+using DevInfoMap = std::map<int, std::vector<DevInfo>>;
+bool ReadInitialSystemConfiguration(char *fileName, DevInfoMap &devices) {
+  fstream confFile;
+  confFile.open(fileName, ios::in);
+  if (!confFile.is_open())
+    return false;
+  char linebuf[64];
+  while (confFile.getline(linebuf, 64)) {
+    std::istringstream entry(linebuf);
+    std::string type, backend, devNum;
+    if (!std::getline(entry, backend, ':'))
+      return false;
+    if (!std::getline(entry, type, ':'))
+      return false;
+    if (!std::getline(entry, devNum))
+      return false;
+    devices[std::atoi(devNum.data())].push_back(
+        make_pair(getDeviceInfoByName(type, DeviceTypeStringMap),
+                  getDeviceInfoByName(backend, BackendStringMap)));
+  }
+  if (devices.size() == 0)
+    return false;
+  return true;
+}
+
+int GetPreferredDeviceIndex(const std::vector<device> &devices,
+                            info::device_type type) {
+  // Note: scores can be not the same as in runtime, just keep the same
+  // preference.
+  //   gpu L0, opencl
+  //   cpu
+  //   acc
+  const std::map<info::device_type, int> scoreByType = {
+      {info::device_type::cpu, 300},
+      {info::device_type::gpu, 500},
+      {info::device_type::accelerator, 75},
+      {info::device_type::host, 100}};
+  int score = -1;
+  int index = -1;
+  int devCount = devices.size();
+  for (int i = 0; i < devCount; i++) {
+    int dev_score = 0;
+    auto deviceType = devices[i].get_info<info::device::device_type>();
+    auto backend = devices[i].get_backend();
+    if ((type != info::device_type::all) && (deviceType != type))
+      continue;
+    dev_score = scoreByType.at(deviceType);
+    if (backend == backend::ext_oneapi_level_zero)
+      dev_score += 100;
+    if (dev_score > score) {
+      score = dev_score;
+      index = i;
+    }
+  }
+  return index;
+}
+
+int main() {
+  // Expected that the sycl device filter is not set
+  if (getenv("PRINT_FULL_DEVICE_INFO")) {
+    PrintSystemConfiguration();
+    return 0;
+  }
+
+  DevInfoMap unfilteredDevices;
+  assert(ReadInitialSystemConfiguration(getenv("TEST_DEV_CONFIG_FILE_NAME"),
+                                        unfilteredDevices) &&
+         "Failed to parse file with initial system configuration data");
+
+  const char *envVal = std::getenv("ONEAPI_DEVICE_SELECTOR");
+  int deviceNum;
+  std::cout << "ONEAPI_DEVICE_SELECTOR=" << envVal << std::endl;
+  deviceNum = std::atoi(std::string(envVal).substr(2).c_str());
+
+  auto devices = device::get_devices();
+  std::cout << "Device count to analyze =" << devices.size() << std::endl;
+
+  auto expectedDevices = unfilteredDevices[deviceNum];
+  size_t devCount = expectedDevices.size();
+  assert(devices.size() == devCount &&
+         "Devices seems to be filtered in a wrong way. Count of devices is "
+         "unexpected.");
+
+  if (devices.size() == 0) {
+    std::cout << "No devices with such filter, skipping test." << std::endl;
+    return 0;
+  }
+
+  for (int i = 0; i < devCount; i++) {
+    auto deviceType = devices[i].get_info<info::device::device_type>();
+    assert(deviceType == std::get<0>(expectedDevices[i]) &&
+           "Device type or device order is not expected.");
+    assert(devices[i].get_backend() == std::get<1>(expectedDevices[i]) &&
+           "Device backend or device order is not expected.");
+  }
+
+  int targetDevIndex = -1;
+  {
+    targetDevIndex = GetPreferredDeviceIndex(devices, info::device_type::all);
+    assert(targetDevIndex >= 0 &&
+           "Failed to find target device for default selector.");
+    default_selector ds;
+    device d = ds.select_device();
+    std::cout << "default_selector selected ";
+    printDeviceType(d);
+    assert(devices[targetDevIndex] == d &&
+           "The selected device is not the target device specified.");
+  }
+  targetDevIndex = GetPreferredDeviceIndex(devices, info::device_type::gpu);
+  if (targetDevIndex >= 0) {
+    gpu_selector gs;
+    device d = gs.select_device();
+    std::cout << "gpu_selector selected ";
+    printDeviceType(d);
+    assert(devices[targetDevIndex] == d &&
+           "The selected device is not the target device specified.");
+  }
+  targetDevIndex = GetPreferredDeviceIndex(devices, info::device_type::cpu);
+  if (targetDevIndex >= 0) {
+    cpu_selector cs;
+    device d = cs.select_device();
+    std::cout << "cpu_selector selected ";
+    printDeviceType(d);
+    assert(devices[targetDevIndex] == d &&
+           "The selected device is not the target device specified.");
+  }
+  targetDevIndex =
+      GetPreferredDeviceIndex(devices, info::device_type::accelerator);
+  if (targetDevIndex >= 0) {
+    accelerator_selector as;
+    device d = as.select_device();
+    std::cout << "accelerator_selector selected ";
+    printDeviceType(d);
+    assert(devices[targetDevIndex] == d &&
+           "The selected device is not the target device specified.");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/device_pci_address_bdf_format.cpp b/sycl/test-e2e/Regression/device_pci_address_bdf_format.cpp
new file mode 100644
index 0000000000000..31a6361a434ff
--- /dev/null
+++ b/sycl/test-e2e/Regression/device_pci_address_bdf_format.cpp
@@ -0,0 +1,53 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==- device_pci_address_bdf_format.cpp - SYCL PCI address BDF format test -==//
+//
+// Tests the BDF format of the PCI address reported through the corresponding
+// query.
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <regex>
+#include <string>
+
+using namespace sycl;
+
+#ifdef _WIN32
+#define setenv(name, value, overwrite) _putenv_s(name, value)
+#endif
+
+int main(int argc, char **argv) {
+  // Must be enabled at the beginning of the application
+  // to obtain the PCI address
+  setenv("SYCL_ENABLE_PCI", "1", 0);
+
+  // Expected format is "{domain}:{bus}:{device}.{function} where:
+  // * {domain} is a 4 character hexadecimal value.
+  // * {bus} is a 2 character hexadecimal value.
+  // * {device} is a 2 character hexadecimal value.
+  // * {function} is a 1 character hexadecimal value.
+  const std::regex ExpectedBDFFormat{
+      "^[0-9a-fA-F]{4}:[0-9a-fA-F]{2}:[0-9a-fA-F]{2}.[0-9a-fA-F]$"};
+
+  for (const auto &plt : platform::get_platforms()) {
+    for (const auto &dev : plt.get_devices()) {
+      if (!dev.has(aspect::ext_intel_pci_address))
+        continue;
+
+      std::string PCIAddress =
+          dev.get_info<info::device::ext_intel_pci_address>();
+      std::cout << "PCI address = " << PCIAddress << std::endl;
+      assert(std::regex_match(PCIAddress, ExpectedBDFFormat));
+    }
+  }
+  std::cout << "Passed!" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/dummy_event_info.cpp b/sycl/test-e2e/Regression/dummy_event_info.cpp
new file mode 100644
index 0000000000000..5d7f7418c637c
--- /dev/null
+++ b/sycl/test-e2e/Regression/dummy_event_info.cpp
@@ -0,0 +1,24 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+// Check that information queries for dummy non-host events (e.g. USM operations
+// for 0 bytes) work correctly.
+int main() {
+  queue q{{property::queue::enable_profiling()}};
+  event e = q.memcpy(nullptr, nullptr, 0);
+
+  assert(e.get_info<info::event::command_execution_status>() ==
+         info::event_command_status::complete);
+  assert(e.get_info<info::event::reference_count>() == 0);
+  assert(e.get_profiling_info<sycl::info::event_profiling::command_submit>() ==
+         0);
+  assert(e.get_profiling_info<sycl::info::event_profiling::command_start>() ==
+         0);
+  assert(e.get_profiling_info<sycl::info::event_profiling::command_end>() == 0);
+}
diff --git a/sycl/test-e2e/Regression/event_destruction.cpp b/sycl/test-e2e/Regression/event_destruction.cpp
new file mode 100644
index 0000000000000..9e7ef70faf7ef
--- /dev/null
+++ b/sycl/test-e2e/Regression/event_destruction.cpp
@@ -0,0 +1,36 @@
+// REQUIRES: TEMPORARY_DISABLED
+// Temporarily disabled because the test is out of time
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==--------------- event_destruction.cpp - SYCL event test ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+const size_t ITERS = 100000;
+
+// The test checks that that event destruction does not lead to stack overflow
+
+int main() {
+  sycl::queue Q(sycl::default_selector_v);
+  sycl::buffer<int, 1> Buf(3000);
+  for (size_t Idx = 0; Idx < ITERS; ++Idx) {
+    auto Event = Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buf.get_access<sycl::access::mode::write>(cgh);
+      cgh.single_task([=]() {
+        for (size_t I = 0; I < 2000; I++) {
+          Acc[I] = I * I + 2000;
+        }
+      });
+    });
+    Event.wait();
+  }
+}
diff --git a/sycl/test-e2e/Regression/fp16-with-unnamed-lambda.cpp b/sycl/test-e2e/Regression/fp16-with-unnamed-lambda.cpp
new file mode 100644
index 0000000000000..ad7d055b9dc39
--- /dev/null
+++ b/sycl/test-e2e/Regression/fp16-with-unnamed-lambda.cpp
@@ -0,0 +1,43 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-unnamed-lambda %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+int main() {
+  auto AsyncHandler = [](sycl::exception_list EL) {
+    for (std::exception_ptr const &P : EL) {
+      try {
+        std::rethrow_exception(P);
+      } catch (std::exception const &E) {
+        std::cerr << "Caught async SYCL exception: " << E.what() << std::endl;
+      }
+    }
+  };
+
+  sycl::queue Q(AsyncHandler);
+
+  sycl::device D = Q.get_device();
+  if (!D.has(sycl::aspect::fp16))
+    return 0; // Skip the test if halfs are not supported
+
+  sycl::buffer<sycl::half> Buf(1);
+
+  Q.submit([&](sycl::handler &CGH) {
+    auto Acc = Buf.get_access<sycl::access::mode::write>(CGH);
+    CGH.single_task([=]() { Acc[0] = 1; });
+  });
+
+  Q.wait_and_throw();
+
+  auto Acc = Buf.get_access<sycl::access::mode::read>();
+  if (1 != Acc[0]) {
+    std::cerr << "Incorrect result, got: " << Acc[0] << ", expected: 1"
+              << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/fsycl-host-compiler-win.cpp b/sycl/test-e2e/Regression/fsycl-host-compiler-win.cpp
new file mode 100644
index 0000000000000..001809b880a89
--- /dev/null
+++ b/sycl/test-e2e/Regression/fsycl-host-compiler-win.cpp
@@ -0,0 +1,47 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-host-compiler=cl -DDEFINE_CHECK -fsycl-host-compiler-options="-DDEFINE_CHECK /std:c++17 /Zc:__cplusplus" -o %t.exe %s
+// RUN: %CPU_RUN_PLACEHOLDER %t.exe
+// RUN: %GPU_RUN_PLACEHOLDER %t.exe
+// RUN: %ACC_RUN_PLACEHOLDER %t.exe
+// REQUIRES: windows
+//
+//==------- fsycl-host-compiler-win.cpp - external host compiler test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// Uses -fsycl-host-compiler=<compiler> on a simple test, requires 'cl'
+
+#include <sycl/sycl.hpp>
+
+#ifndef DEFINE_CHECK
+#error predefined macro not set
+#endif // DEFINE_CHECK
+
+using namespace sycl;
+
+int main() {
+  int data[] = {0, 0, 0};
+
+  {
+    buffer<int, 1> b(data, range<1>(3), {property::buffer::use_host_ptr()});
+    queue q;
+    q.submit([&](handler &cgh) {
+      auto B = b.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class test>(range<1>(3), [=](id<1> idx) { B[idx] = 1; });
+    });
+  }
+
+  bool isSuccess = true;
+
+  for (int i = 0; i < 3; i++)
+    if (data[i] != 1)
+      isSuccess = false;
+
+  if (!isSuccess)
+    return -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/fsycl-host-compiler.cpp b/sycl/test-e2e/Regression/fsycl-host-compiler.cpp
new file mode 100644
index 0000000000000..9a50654455080
--- /dev/null
+++ b/sycl/test-e2e/Regression/fsycl-host-compiler.cpp
@@ -0,0 +1,57 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-host-compiler=g++ -DDEFINE_CHECK -fsycl-host-compiler-options="-DDEFINE_CHECK -std=c++17" -o %t.out %s
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// REQUIRES: linux
+//==------- fsycl-host-compiler.cpp - external host compiler test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// Uses -fsycl-host-compiler=<compiler> on a simple test, requires 'g++'
+
+#include <sycl/sycl.hpp>
+
+#ifndef DEFINE_CHECK
+#error predefined macro not set
+#endif // DEFINE_CHECK
+
+using namespace sycl;
+
+int main() {
+  int data[] = {0, 0, 0};
+
+  {
+    buffer<int, 1> b(data, range<1>(3), {property::buffer::use_host_ptr()});
+    queue q;
+    q.submit([&](handler &cgh) {
+      auto B = b.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class test>(range<1>(3), [=](id<1> idx) { B[idx] = 1; });
+    });
+  }
+
+  bool isSuccess = true;
+
+  for (int i = 0; i < 3; i++)
+    if (data[i] != 1)
+      isSuccess = false;
+
+  {
+    buffer<int, 1> b(1);
+    queue q;
+    q.submit([&](handler &cgh) {
+       accessor a{b, cgh};
+       cgh.single_task<class test2>([=] { a[0] = 42; });
+     }).wait();
+    host_accessor a{b};
+    isSuccess &= (a[0] == 42);
+  }
+
+  if (!isSuccess)
+    return -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/get_subgroup_sizes.cpp b/sycl/test-e2e/Regression/get_subgroup_sizes.cpp
new file mode 100644
index 0000000000000..65d293871606e
--- /dev/null
+++ b/sycl/test-e2e/Regression/get_subgroup_sizes.cpp
@@ -0,0 +1,32 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==-- get_subgroup_sizes.cpp - Test for bug fix in subgroup sizes query --==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <algorithm>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Q;
+  auto Dev = Q.get_device();
+  auto Vec = Dev.get_info<info::device::extensions>();
+  if (std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") !=
+      std::end(Vec)) {
+    std::vector<size_t> SubGroupSizes =
+        Dev.get_info<sycl::info::device::sub_group_sizes>();
+    std::vector<size_t>::const_iterator MaxIter =
+        std::max_element(SubGroupSizes.begin(), SubGroupSizes.end());
+    int MaxSubGroup_size = *MaxIter;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/global_queue.cpp b/sycl/test-e2e/Regression/global_queue.cpp
new file mode 100644
index 0000000000000..707866d904fbe
--- /dev/null
+++ b/sycl/test-e2e/Regression/global_queue.cpp
@@ -0,0 +1,22 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// SYCL dependencies (i.e. low level runtimes) may have global objects of their
+// own. The test ensures, that those objects do not cause problems. When host
+// queue is created, no runtimes are loaded. When another device is created,
+// low level runtime is dlopen'ed and global objects are created and destructors
+// are registered. This can be a potential problem, as many implementations
+// use reverse order to call destructors, and low level runtime's objects are
+// destroyed before global queue in user code.
+
+#include <sycl/sycl.hpp>
+
+sycl::queue Queue;
+
+int main() {
+  Queue = sycl::queue{sycl::default_selector{}.select_device()};
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/group.cpp b/sycl/test-e2e/Regression/group.cpp
new file mode 100644
index 0000000000000..4761751085491
--- /dev/null
+++ b/sycl/test-e2e/Regression/group.cpp
@@ -0,0 +1,258 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==-- group.cpp - Regression tests for sycl::group API bug fixes. -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+struct AsyncHandler {
+  void operator()(sycl::exception_list L) {
+    for (auto &E : L) {
+      std::rethrow_exception(E);
+    }
+  }
+};
+
+// Tests group::get_group_range
+bool group__get_group_range() {
+  std::cout << "+++ Running group::get_group_range() test...\n";
+  constexpr int DIMS = 3;
+  const range<DIMS> LocalRange{2, 3, 1};
+  const range<DIMS> GroupRange{1, 2, 3};
+  const range<DIMS> GlobalRange = LocalRange * GroupRange;
+  using DataType = size_t;
+  const int DataLen = GlobalRange.size() * DIMS;
+  std::unique_ptr<DataType[]> Data(new DataType[DataLen]);
+  std::memset(Data.get(), 0, DataLen * sizeof(DataType));
+
+  try {
+    buffer<DataType, 1> Buf(Data.get(), DataLen);
+    queue Q(AsyncHandler{});
+
+    Q.submit([&](handler &cgh) {
+      auto Ptr = Buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class group__get_group_range>(
+          nd_range<3>{GlobalRange, LocalRange}, [=](nd_item<DIMS> I) {
+            const auto Off = I.get_global_linear_id() * 3;
+            const auto &GR = I.get_group().get_group_range();
+            Ptr[Off + 0] = GR.get(0);
+            Ptr[Off + 1] = GR.get(1);
+            Ptr[Off + 2] = GR.get(2);
+          });
+    });
+  } catch (sycl::exception const &E) {
+    std::cout << "SYCL exception caught: " << E.what() << '\n';
+    return 2;
+  }
+  const size_t SIZE_Z = GlobalRange.get(0);
+  const size_t SIZE_Y = GlobalRange.get(1);
+  const size_t SIZE_X = GlobalRange.get(2);
+  bool Pass = true;
+  int ErrCnt = 0;
+
+  for (size_t Z = 0; Z < SIZE_Z; Z++) {
+    for (size_t Y = 0; Y < SIZE_Y; Y++) {
+      for (size_t X = 0; X < SIZE_X; X++) {
+        const size_t Ind = Z * SIZE_X * SIZE_Y + Y * SIZE_X + X;
+        const size_t Off = Ind * 3;
+        const auto Ptr = Data.get();
+        const auto XTest = Ptr[Off + 2];
+        const auto YTest = Ptr[Off + 1];
+        const auto ZTest = Ptr[Off + 0];
+        const auto XGold = GroupRange.get(2);
+        const auto YGold = GroupRange.get(1);
+        const auto ZGold = GroupRange.get(0);
+        const bool Ok = (XTest == XGold && YTest == YGold && ZTest == ZGold);
+        Pass &= Ok;
+
+        if (!Ok && ErrCnt++ < 10) {
+          std::cout << "*** ERROR at [" << Z << "][" << Y << "][" << X << "]: ";
+          std::cout << XTest << " " << YTest << " " << ZTest << " != ";
+          std::cout << XGold << " " << YGold << " " << ZGold << "\n";
+        }
+      }
+    }
+  }
+  if (Pass)
+    std::cout << "    pass\n";
+  return Pass;
+}
+
+// Tests group::get_linear_id()
+bool group__get_linear_id() {
+  std::cout << "+++ Running group::get_linear_id() test...\n";
+  constexpr int DIMS = 3;
+  const range<DIMS> LocalRange{2, 3, 1};
+  const range<DIMS> GroupRange{1, 2, 3};
+  const range<DIMS> GlobalRange = LocalRange * GroupRange;
+  using DataType = size_t;
+  const int DataLen = GlobalRange.size() * DIMS;
+  std::unique_ptr<DataType[]> Data(new DataType[DataLen]);
+  std::memset(Data.get(), 0, DataLen * sizeof(DataType));
+
+  try {
+    buffer<DataType, 1> Buf(Data.get(), DataLen);
+    queue Q(AsyncHandler{});
+
+    Q.submit([&](handler &cgh) {
+      auto Ptr = Buf.get_access<access::mode::write>(cgh);
+
+      cgh.parallel_for<class group__get_linear_id>(
+          nd_range<3>{GlobalRange, LocalRange}, [=](nd_item<DIMS> I) {
+            const auto Off = I.get_global_linear_id() * 3;
+            const auto LI = I.get_group().get_linear_id();
+            Ptr[Off + 0] = LI;
+            Ptr[Off + 1] = LI;
+            Ptr[Off + 2] = LI;
+          });
+    });
+  } catch (sycl::exception const &E) {
+    std::cout << "SYCL exception caught: " << E.what() << '\n';
+    return 2;
+  }
+  const size_t SIZE_Z = GlobalRange.get(0);
+  const size_t SIZE_Y = GlobalRange.get(1);
+  const size_t SIZE_X = GlobalRange.get(2);
+  bool Pass = true;
+  int ErrCnt = 0;
+
+  for (size_t Z = 0; Z < SIZE_Z; Z++) {
+    for (size_t Y = 0; Y < SIZE_Y; Y++) {
+      for (size_t X = 0; X < SIZE_X; X++) {
+        const size_t Ind = Z * SIZE_X * SIZE_Y + Y * SIZE_X + X;
+        const size_t Off = Ind * 3;
+        const auto Ptr = Data.get();
+        const auto XTest = Ptr[Off + 2];
+        const auto YTest = Ptr[Off + 1];
+        const auto ZTest = Ptr[Off + 0];
+        const id<3> GlobalID{Z, Y, X};
+        const id<3> GroupID = GlobalID / LocalRange;
+        const auto GroupLinearID =
+            GroupID.get(0) * GroupRange.get(1) * GroupRange.get(2) +
+            GroupID.get(1) * GroupRange.get(2) + GroupID.get(2);
+        const auto XGold = GroupLinearID;
+        const auto YGold = GroupLinearID;
+        const auto ZGold = GroupLinearID;
+        const bool Ok = (XTest == XGold && YTest == YGold && ZTest == ZGold);
+        Pass &= Ok;
+
+        if (!Ok && ErrCnt++ < 10) {
+          std::cout << "*** ERROR at [" << Z << "][" << Y << "][" << X << "]: ";
+          std::cout << XTest << " " << YTest << " " << ZTest << " != ";
+          std::cout << XGold << " " << YGold << " " << ZGold << "\n";
+        }
+      }
+    }
+  }
+  if (Pass)
+    std::cout << "    pass\n";
+  return Pass;
+}
+
+// Tests group::async_work_group_copy()
+bool group__async_work_group_copy() {
+  std::cout << "+++ Running group::async_work_group_copy() test...\n";
+  constexpr int DIMS = 2;
+  bool Pass = true;
+
+  std::vector<std::pair<range<DIMS>, range<DIMS>>> ranges;
+  ranges.push_back({{3, 1}, {2, 3}});
+  ranges.push_back({{1, 3}, {3, 2}});
+
+  for (const auto &i : ranges) {
+    const auto LocalRange = i.first;
+    const auto GroupRange = i.second;
+    const range<DIMS> GlobalRange = LocalRange * GroupRange;
+    using DataType = vec<size_t, DIMS>;
+    const int DataLen = GlobalRange.size();
+    std::unique_ptr<DataType[]> Data(new DataType[DataLen]);
+    std::memset(Data.get(), 0, DataLen * sizeof(DataType));
+
+    try {
+      buffer<DataType, 1> Buf(Data.get(), DataLen);
+      queue Q(AsyncHandler{});
+
+      Q.submit([&](handler &cgh) {
+        auto AccGlobal = Buf.get_access<access::mode::read_write>(cgh);
+        local_accessor<DataType, DIMS> AccLocal(LocalRange, cgh);
+
+        cgh.parallel_for<class group__async_work_group_copy>(
+            nd_range<2>{GlobalRange, LocalRange}, [=](nd_item<DIMS> I) {
+              const auto Group = I.get_group();
+              const auto NumElem = AccLocal.get_count();
+              const auto Off = Group[0] * I.get_group_range(1) * NumElem +
+                               Group[1] * I.get_local_range(1);
+              auto PtrGlobal = AccGlobal.get_pointer() + Off;
+              auto PtrLocal = local_ptr<DataType>(AccLocal);
+              if (I.get_local_range(0) == 1) {
+                Group.async_work_group_copy(PtrLocal, PtrGlobal, NumElem);
+              } else {
+                Group.async_work_group_copy(PtrLocal, PtrGlobal, NumElem,
+                                            I.get_global_range(1));
+              }
+              AccLocal[I.get_local_id()][0] += I.get_global_id(0);
+              AccLocal[I.get_local_id()][1] += I.get_global_id(1);
+              if (I.get_local_range(0) == 1) {
+                Group.async_work_group_copy(PtrGlobal, PtrLocal, NumElem);
+              } else {
+                Group.async_work_group_copy(PtrGlobal, PtrLocal, NumElem,
+                                            I.get_global_range(1));
+              }
+            });
+      });
+    } catch (sycl::exception const &E) {
+      std::cout << "SYCL exception caught: " << E.what() << '\n';
+      return 2;
+    }
+    const size_t SIZE_Y = GlobalRange.get(0);
+    const size_t SIZE_X = GlobalRange.get(1);
+    int ErrCnt = 0;
+
+    for (size_t Y = 0; Y < SIZE_Y; Y++) {
+      for (size_t X = 0; X < SIZE_X; X++) {
+        const size_t Ind = Y * SIZE_X + X;
+        const auto Test0 = Data[Ind][0];
+        const auto Test1 = Data[Ind][1];
+        const auto Gold0 = Y;
+        const auto Gold1 = X;
+        const bool Ok = (Test0 == Gold0 && Test1 == Gold1);
+        Pass &= Ok;
+
+        if (!Ok && ErrCnt++ < 10) {
+          std::cout << "*** ERROR at [" << Y << "][" << X << "]: ";
+          std::cout << Test0 << " " << Test1 << " != ";
+          std::cout << Gold0 << " " << Gold1 << "\n";
+        }
+      }
+    }
+  }
+  if (Pass)
+    std::cout << "    pass\n";
+  return Pass;
+}
+
+int main() {
+  bool Pass = 1;
+  Pass &= group__get_group_range();
+  Pass &= group__get_linear_id();
+  Pass &= group__async_work_group_copy();
+
+  if (!Pass) {
+    std::cout << "FAILED\n";
+    return 1;
+  }
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/group_local_linear_id.cpp b/sycl/test-e2e/Regression/group_local_linear_id.cpp
new file mode 100644
index 0000000000000..49ae8a74cf242
--- /dev/null
+++ b/sycl/test-e2e/Regression/group_local_linear_id.cpp
@@ -0,0 +1,33 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Checks that get_local_linear_id is the same on the nd_item as on the
+// corresponding group.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  const sycl::range<3> GlobalRange(2, 8, 16);
+  const sycl::range<3> LocalRange(2, 4, 4);
+  sycl::queue Q;
+  bool *ReadSame = sycl::malloc_shared<bool>(GlobalRange.size(), Q);
+  Q.parallel_for(sycl::nd_range<3>{GlobalRange, LocalRange},
+                 [=](sycl::nd_item<3> Item) {
+                   ReadSame[Item.get_global_linear_id()] =
+                       Item.get_local_linear_id() ==
+                       Item.get_group().get_local_linear_id();
+                 })
+      .wait();
+  int Failures = 0;
+  for (size_t I = 0; I < GlobalRange.size(); ++I) {
+    if (ReadSame[I])
+      continue;
+    ++Failures;
+    std::cout << "Read mismatch at index " << I << std::endl;
+  }
+  sycl::free(ReadSame, Q);
+  return Failures;
+}
diff --git a/sycl/test-e2e/Regression/half_operators.cpp b/sycl/test-e2e/Regression/half_operators.cpp
new file mode 100644
index 0000000000000..c37a1e4eeb213
--- /dev/null
+++ b/sycl/test-e2e/Regression/half_operators.cpp
@@ -0,0 +1,76 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel -fsycl-unnamed-lambda %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// REQUIRES: gpu
+#include <iostream>
+#include <sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <typename T>
+using shared_allocator = sycl::usm_allocator<T, sycl::usm::alloc::shared>;
+
+template <typename T> using shared_vector = std::vector<T, shared_allocator<T>>;
+
+template <typename T> bool are_bitwise_equal(T lhs, T rhs) {
+  constexpr size_t size{sizeof(T)};
+
+  // Such type-punning is OK from the point of strict aliasing rules
+  const auto &lhs_bytes = reinterpret_cast<const unsigned char(&)[size]>(lhs);
+  const auto &rhs_bytes = reinterpret_cast<const unsigned char(&)[size]>(rhs);
+
+  bool result{true};
+  for (size_t i = 0; i < size; ++i) {
+    result &= lhs_bytes[i] == rhs_bytes[i];
+  }
+  return result;
+}
+
+template <typename T> bool test(sycl::queue &queue) {
+  constexpr int NumElems{32};
+  bool pass{true};
+
+  static const T inexact = static_cast<T>(0.1);
+
+  shared_vector<T> result_source{NumElems, shared_allocator<T>{queue}};
+  shared_vector<T> input{NumElems, shared_allocator<T>{queue}};
+
+  for (size_t i = 0; i < NumElems; ++i) {
+    input[i] = inexact * i;
+  }
+
+  queue.submit([&](sycl::handler &cgh) {
+    auto out_source = result_source.data();
+    auto in = input.data();
+
+    cgh.single_task<>([=]() {
+      for (size_t i = 0; i < NumElems; ++i) {
+        auto source = in[i];
+        ++source;
+        out_source[i] = source;
+      }
+    });
+  });
+  queue.wait_and_throw();
+
+  for (size_t i = 0; i < NumElems; ++i) {
+    T expected_value = input[i] + 1;
+
+    if (!are_bitwise_equal(expected_value, result_source[i])) {
+      pass = false;
+      std::cout << "Sample failed retrieved value: " << result_source[i]
+                << ", but expected: " << expected_value << ", at index: " << i
+                << std::endl;
+    }
+  }
+  return pass;
+}
+
+int main(int argc, char **argv) {
+  sycl::queue queue{};
+  bool passed = true;
+  passed &= test<float>(queue);
+  if (queue.get_device().has(sycl::aspect::fp16))
+    passed &= test<sycl::half>(queue);
+  return passed ? 0 : 1;
+}
diff --git a/sycl/test-e2e/Regression/host_unified_memory.cpp b/sycl/test-e2e/Regression/host_unified_memory.cpp
new file mode 100644
index 0000000000000..ee4b26d41e6d1
--- /dev/null
+++ b/sycl/test-e2e/Regression/host_unified_memory.cpp
@@ -0,0 +1,48 @@
+// REQUIRES: gpu && linux
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER SYCL_HOST_UNIFIED_MEMORY=1 %t.out
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <sycl/sycl.hpp>
+#include <unistd.h>
+
+using namespace sycl;
+
+static buffer<char, 1> *inBufP = nullptr;
+
+int main(int argc, char *argv[]) {
+  queue Q;
+  auto BE =
+      (bool)(Q.get_device()
+                 .template get_info<sycl::info::device::opencl_c_version>()
+                 .empty())
+          ? "L0"
+          : "OpenCL";
+  device dev = Q.get_device();
+  size_t max_compute_units = dev.get_info<info::device::max_compute_units>();
+  printf("Device: %s max_compute_units %zu, Backend: %s\n",
+         dev.get_info<info::device::name>().c_str(), max_compute_units, BE);
+
+  size_t size = 32;
+  void *p;
+  posix_memalign(&p, 8, size);
+  property::buffer::use_host_ptr prop_use_host_ptr;
+  inBufP = new buffer<char, 1>((char *)p, size, prop_use_host_ptr);
+
+  int iters = 3;
+  for (int r = 0; r < iters; r++) {
+    printf("Start iter %d\n", r);
+    { host_accessor InhostAcc{*inBufP, write_only}; }
+    Q.submit([&](handler &cgh) {
+      accessor inAcc{*inBufP, cgh, read_write};
+      cgh.single_task<class X5>([=]() { (void)inAcc; });
+    });
+    Q.wait();
+    printf("End iter\n");
+  }
+  delete inBufP;
+  free(p);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/image_access.cpp b/sycl/test-e2e/Regression/image_access.cpp
new file mode 100644
index 0000000000000..0e26300f56d1b
--- /dev/null
+++ b/sycl/test-e2e/Regression/image_access.cpp
@@ -0,0 +1,49 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// No execution of FPGA because it does not support images
+//
+// PVC doesn't support images.
+// UNSUPPORTED: hip, gpu-intel-pvc
+// CUDA doesn't fully support OpenCL spec conform images.
+
+//==-------------- image_access.cpp - SYCL image accessors test  -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  try {
+    sycl::range<1> Range(32);
+    std::vector<cl_float> Data(Range.size() * 4, 0.0f);
+    sycl::image<1> Image(Data.data(), sycl::image_channel_order::rgba,
+                         sycl::image_channel_type::fp32, Range);
+    sycl::queue Queue;
+
+    Queue.submit([&](sycl::handler &CGH) {
+      sycl::accessor<sycl::cl_int4, 1, sycl::access::mode::read,
+                     sycl::access::target::image,
+                     sycl::access::placeholder::false_t>
+          A(Image, CGH);
+      CGH.single_task<class MyKernel>([=]() {});
+    });
+    Queue.wait_and_throw();
+
+    sycl::accessor<sycl::cl_int4, 1, sycl::access::mode::read,
+                   sycl::access::target::host_image,
+                   sycl::access::placeholder::false_t>
+        A(Image);
+  } catch (sycl::exception &E) {
+    std::cout << E.what();
+  }
+  return 0;
+}
+
+// CHECK:---> piMemImageCreate
+// CHECK:---> piEnqueueMemImageRead
diff --git a/sycl/test-e2e/Regression/implicit_atomic_conversion.cpp b/sycl/test-e2e/Regression/implicit_atomic_conversion.cpp
new file mode 100644
index 0000000000000..f2dbf6094435f
--- /dev/null
+++ b/sycl/test-e2e/Regression/implicit_atomic_conversion.cpp
@@ -0,0 +1,29 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+void test_conversion(queue q) {
+  int init = 0;
+  {
+    buffer<int> in_buf(&init, 1);
+
+    q.submit([&](handler &cgh) {
+      auto in = in_buf.template get_access<access::mode::atomic>(cgh);
+      cgh.single_task<class conversion>([=]() {
+        sycl::atomic<int, access::address_space::global_space> atm = in[0];
+        atm.store(42);
+      });
+    });
+  }
+  assert(init == 42 && "verification failed");
+}
+
+int main() {
+  queue q;
+  test_conversion(q);
+}
diff --git a/sycl/test-e2e/Regression/implicit_kernel_bundle_image_filtering.cpp b/sycl/test-e2e/Regression/implicit_kernel_bundle_image_filtering.cpp
new file mode 100644
index 0000000000000..eee4c0055edef
--- /dev/null
+++ b/sycl/test-e2e/Regression/implicit_kernel_bundle_image_filtering.cpp
@@ -0,0 +1,52 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+
+// JIT compilation path is not taken on HIP backend.
+// UNSUPPORTED: hip
+
+// This tests checks that implicitly created kernel_bundles (i.e. through
+// setting a specialization ID from host) only builds the device image
+// containing the kernel it launches.
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+class Kernel1;
+class Kernel2;
+
+constexpr sycl::specialization_id<int> SpecConst;
+
+int main() {
+  sycl::queue Q;
+
+  int Ret = 0;
+  {
+    sycl::buffer<int, 1> Buf(&Ret, 1);
+    Q.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.template get_access<sycl::access::mode::write>(CGH);
+      CGH.set_specialization_constant<SpecConst>(42);
+      CGH.single_task<class Kernel1>([=](sycl::kernel_handler H) {
+        Acc[0] = H.get_specialization_constant<SpecConst>();
+      });
+    });
+    Q.wait_and_throw();
+  }
+
+  if (Ret == 1) {
+    // This should never happen but we need the kernel
+    Q.submit(
+        [&](sycl::handler &CGH) { CGH.single_task<class Kernel2>([=]() {}); });
+    Q.wait_and_throw();
+  }
+  std::cout << "passed" << std::endl;
+  return 0;
+}
+
+// --- Check that only a single program is built:
+// CHECK: ---> piProgramBuild
+// CHECK-NOT: ---> piProgramBuild
+// --- Check that the test completed with expected results:
+// CHECK: passed
diff --git a/sycl/test-e2e/Regression/implicit_offset_debug_info.cpp b/sycl/test-e2e/Regression/implicit_offset_debug_info.cpp
new file mode 100644
index 0000000000000..57a662902094c
--- /dev/null
+++ b/sycl/test-e2e/Regression/implicit_offset_debug_info.cpp
@@ -0,0 +1,19 @@
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// REQUIRES: cuda
+
+// NOTE: Tests that the implicit global offset pass copies debug information
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main() {
+  queue q;
+  buffer<uint64_t, 1> t1(10);
+  q.submit([&](handler &cgh) {
+    auto table = t1.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class kernel>(10,
+                                   [=](id<1> gtid) { table[gtid] = gtid[0]; });
+  });
+  q.wait();
+}
diff --git a/sycl/test-e2e/Regression/isordered.cpp b/sycl/test-e2e/Regression/isordered.cpp
new file mode 100644
index 0000000000000..8b55c191b481d
--- /dev/null
+++ b/sycl/test-e2e/Regression/isordered.cpp
@@ -0,0 +1,37 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUNx: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::range<1> ndRng(3);
+  int32_t kernelResult[3];
+  sycl::queue testQueue;
+  {
+    sycl::buffer<int32_t, 1> buffer(&kernelResult[0], ndRng);
+    testQueue.submit([&](sycl::handler &h) {
+      auto resultPtr = buffer.template get_access<sycl::access::mode::write>(h);
+      h.single_task<class kernel>([=]() {
+        float inputData_0F(0.1);
+        float inputData_1F(0.5);
+        resultPtr[0] = sycl::isordered(inputData_0F, inputData_1F);
+
+        double inputData_0D(0.2);
+        double inputData_1D(0.3);
+        resultPtr[1] = sycl::isordered(inputData_0D, inputData_1D);
+
+        sycl::half inputData_0H(0.3);
+        sycl::half inputData_1H(0.9);
+        resultPtr[2] = sycl::isordered(inputData_0H, inputData_1H);
+      });
+    });
+  }
+  // Should be 1 according to spec since it's a scalar type not a vector
+  assert(kernelResult[0] == 1 && "Incorrect result");
+  assert(kernelResult[1] == 1 && "Incorrect result");
+  assert(kernelResult[2] == 1 && "Incorrect result");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/kernel_bundle_ignore_sycl_external.cpp b/sycl/test-e2e/Regression/kernel_bundle_ignore_sycl_external.cpp
new file mode 100644
index 0000000000000..0d957188a6564
--- /dev/null
+++ b/sycl/test-e2e/Regression/kernel_bundle_ignore_sycl_external.cpp
@@ -0,0 +1,41 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: cuda
+// UNSUPPORTED: hip
+
+#include <sycl/sycl.hpp>
+
+class KernelName;
+
+SYCL_EXTERNAL
+int f(int a) { return a + 1; }
+
+int main() {
+  const sycl::device Dev{sycl::default_selector_v};
+  const sycl::context Ctx{Dev};
+  sycl::queue Q{Ctx, Dev};
+
+  assert(sycl::get_kernel_ids().size() == 1);
+
+  sycl::kernel_bundle EmptyKernelBundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::executable>(Ctx, {Dev}, {});
+
+  assert(EmptyKernelBundle.get_kernel_ids().size() == 0);
+
+  sycl::kernel_bundle KernelBundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::executable>(Ctx, {Dev});
+  sycl::kernel_id KernelID = sycl::get_kernel_id<KernelName>();
+
+  assert(KernelBundle.get_kernel_ids().size() == 1);
+  assert(KernelBundle.has_kernel(KernelID));
+
+  sycl::buffer<int, 1> Buf(sycl::range<1>{1});
+  Q.submit([&](sycl::handler &CGH) {
+    auto Acc = Buf.get_access<sycl::access::mode::write>(CGH);
+    CGH.use_kernel_bundle(KernelBundle);
+    CGH.single_task<KernelName>([=]() { Acc[0] = 42; });
+  });
+}
diff --git a/sycl/test-e2e/Regression/kernel_name_class.cpp b/sycl/test-e2e/Regression/kernel_name_class.cpp
new file mode 100644
index 0000000000000..348df909755b3
--- /dev/null
+++ b/sycl/test-e2e/Regression/kernel_name_class.cpp
@@ -0,0 +1,286 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.ext.out -fsycl-unnamed-lambda
+// RUN: %CPU_RUN_PLACEHOLDER %t.ext.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.ext.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.ext.out
+
+//==-- kernel_name_class.cpp - SYCL kernel naming variants test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#define GOLD 10
+
+namespace nm1 {
+namespace nm2 {
+class C {};
+class KernelName0 : public C {};
+
+template <int X> class KernelName11 {};
+} // namespace nm2
+
+class KernelName1;
+
+template <typename T> class KernelName3;
+template <typename T> class KernelName4;
+
+template <> class KernelName3<nm1::nm2::KernelName0>;
+template <> class KernelName3<KernelName1>;
+
+template <> class KernelName4<nm1::nm2::KernelName0> {};
+template <> class KernelName4<KernelName1> {};
+
+template <typename... Ts> class KernelName10;
+
+} // namespace nm1
+
+template <typename... Ts> class KernelName12;
+
+static int NumTestCases = 0;
+
+namespace nm3 {
+struct Wrapper {
+
+  class KN100 {};
+  class KN101;
+
+  int test() {
+    int arr[] = {0};
+    {
+      sycl::queue deviceQueue;
+      sycl::buffer<int, 1> buf(arr, 1);
+      // Acronyms used to designate a test combination:
+      //   Declaration levels: 'T'-translation unit, 'L'-local scope,
+      //                       'C'-containing class, 'P'-"in place", '-'-N/A
+      //   Class definition:   'I'-incomplete (not defined), 'D' - defined,
+      //   '-'-N/A
+      // Test combination positional parameters:
+      // 0: Kernel class declaration level
+      // 1: Kernel class definition
+      // 2: Declaration level of the template argument class of the kernel class
+      // 3: Definition of the template argument class of the kernel class
+
+      // PD--
+      // bool as kernel name
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<bool>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // PI--
+      // traditional in-place incomplete type
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<class KernelName>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TD--
+      // a class completely defined within a namespace at
+      // translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::nm2::KernelName0>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+#ifdef LI__
+      // TODO unexpected compilation error when host code + integration header
+      // is compiled LI-- kernel name is an incomplete class forward-declared in
+      // local scope
+      class KernelName2;
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<KernelName2>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+
+#ifdef LD__
+      // LD--
+      // kernel name is a class defined in local scope
+      class KernelName2a {};
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<KernelName2a>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+
+      // TI--
+      // an incomplete class forward-declared in a namespace at
+      // translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName1>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TITD
+      // an incomplete template specialization class with defined class as
+      // argument declared in a namespace at translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName3<nm1::nm2::KernelName0>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TITI
+      // an incomplete template specialization class with incomplete class as
+      // argument forward-declared in a namespace at translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName3<nm1::KernelName1>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TDTD
+      // a defined template specialization class with defined class as argument
+      // declared in a namespace at translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName4<nm1::nm2::KernelName0>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TDTI
+      // a defined template specialization class with incomplete class as
+      // argument forward-declared in a namespace at translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName4<nm1::KernelName1>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TIPI
+      // an incomplete template specialization class with incomplete class as
+      // argument forward-declared "in-place"
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName3<class KernelName5>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+#ifdef TILI
+      // Expected compilation error
+      // TILI
+      // an incomplete template specialization class with incomplete class as
+      // argument forward-declared locally
+      class KernelName6;
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName3<KernelName6>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+
+      // TDPI
+      // a defined template specialization class with incomplete class as
+      // argument forward-declared "in-place"
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName4<class KernelName7>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+#ifdef TDLI
+      // TODO unexpected compilation error when host code + integration header
+      // is compiled TDLI a defined template specialization class with
+      // incomplete class as argument forward-declared locally
+      class KernelName6a;
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName4<KernelName6a>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+
+#ifdef TDLD
+      // Expected compilation error
+      // TDLD
+      // a defined template specialization class with a class as argument
+      // defined locally
+      class KernelName9 {};
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName4<KernelName9>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+
+#ifdef TICD
+      // Expected compilation error
+      // TICD
+      // an incomplete template specialization class with a defined class as
+      // argument declared in the containing class
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName3<KN100>>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+
+#ifdef TICI
+      // Expected compilation error
+      // TICI
+      // an incomplete template specialization class with an incomplete class as
+      // argument declared in the containing class
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName3<KN101>>([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+#endif
+      // TPITD
+      // an incomplete vatiadic template specialization class in a namespace at
+      // translation unit scope with a defined class as argument declared in
+      // a namespace at translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<nm1::KernelName10<nm1::nm2::KernelName11<10>>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // TPITD
+      // an incomplete vatiadic template specialization class in the global
+      // namespace at translation unit scope with a defined class as argument
+      // declared in a namespace at translation unit scope
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task<KernelName12<nm1::nm2::KernelName11<10>>>(
+            [=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+    }
+    return arr[0];
+  }
+};
+} // namespace nm3
+
+int main() {
+  nm3::Wrapper w;
+  int res = w.test();
+  bool pass = res == GOLD * NumTestCases;
+  std::cout << (pass ? "pass" : "FAIL") << "\n";
+  return pass ? 0 : 1;
+}
diff --git a/sycl/test-e2e/Regression/kernel_unnamed.cpp b/sycl/test-e2e/Regression/kernel_unnamed.cpp
new file mode 100644
index 0000000000000..78534ce680dea
--- /dev/null
+++ b/sycl/test-e2e/Regression/kernel_unnamed.cpp
@@ -0,0 +1,66 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -fsycl-unnamed-lambda
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==-- kernel_unnamed.cpp - SYCL kernel naming variants test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#define GOLD 10
+static int NumTestCases = 0;
+
+template <class F>
+void foo(sycl::queue &deviceQueue, sycl::buffer<int, 1> &buf, F f) {
+  deviceQueue.submit([&](sycl::handler &cgh) {
+    auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+    cgh.single_task([=]() { acc[0] = f(acc[0], GOLD); });
+  });
+}
+
+namespace nm {
+struct Wrapper {
+
+  int test() {
+    int arr[] = {0};
+    {
+      // Simple test
+      sycl::queue deviceQueue;
+      sycl::buffer<int, 1> buf(arr, 1);
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+// Test lambdas with different ordinal because of macro expansion
+#ifdef __SYCL_DEVICE_ONLY__
+      [] {}();
+#endif
+      deviceQueue.submit([&](sycl::handler &cgh) {
+        auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+        cgh.single_task([=]() { acc[0] += GOLD; });
+      });
+      ++NumTestCases;
+
+      // Test lambda passed to function
+      foo(deviceQueue, buf, [](int a, int b) { return a + b; });
+      ++NumTestCases;
+    }
+    return arr[0];
+  }
+};
+} // namespace nm
+
+int main() {
+  nm::Wrapper w;
+  int res = w.test();
+  assert(res == GOLD * NumTestCases && "Wrong result");
+}
diff --git a/sycl/test-e2e/Regression/local-arg-align.cpp b/sycl/test-e2e/Regression/local-arg-align.cpp
new file mode 100644
index 0000000000000..ecd4fea37e78e
--- /dev/null
+++ b/sycl/test-e2e/Regression/local-arg-align.cpp
@@ -0,0 +1,63 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+//
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==-- local-arg-align.cpp - Test for local argument alignmnent ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// This test is a simple unit test to ensure that local kernel arguments are
+// properly aligned.
+int main(int argc, char *argv[]) {
+  queue q;
+  buffer<size_t, 1> res(2);
+
+  q.submit([&](sycl::handler &h) {
+     // Use two local buffers, one with an int and one with a float4
+     local_accessor<cl_int, 1> a(1, h);
+     local_accessor<float4, 1> b(1, h);
+
+     auto ares = res.get_access<access::mode::read_write>(h);
+
+     // Manually capture kernel arguments to ensure an order with the int
+     // argument first and the float4 argument second. If the two arguments are
+     // simply laid out consecutively, the float4 argument will not be
+     // correctly aligned.
+     h.parallel_for(1, [a, b, ares](sycl::id<1> i) {
+       // Get the addresses of the two local buffers
+       ares[0] = (size_t)&a[0];
+       ares[1] = (size_t)&b[0];
+     });
+   }).wait_and_throw();
+
+  auto hres = res.get_access<access::mode::read_write>();
+
+  int ret = 0;
+  // Check that the addresses are aligned as expected
+  if (hres[0] % sizeof(cl_int) != 0) {
+    std::cout
+        << "Error: incorrect alignment for argument a, required alignment: "
+        << sizeof(cl_int) << ", address: " << (void *)hres[0] << std::endl;
+    ret = -1;
+  }
+
+  if (hres[1] % sizeof(float4) != 0) {
+    std::cout
+        << "Error: incorrect alignment for argument b, required alignment: "
+        << sizeof(float4) << ", address: " << (void *)hres[1] << std::endl;
+    ret = -1;
+  }
+
+  return ret;
+}
diff --git a/sycl/test-e2e/Regression/local_accessor_3d_subscript.cpp b/sycl/test-e2e/Regression/local_accessor_3d_subscript.cpp
new file mode 100644
index 0000000000000..d67e4fcb45660
--- /dev/null
+++ b/sycl/test-e2e/Regression/local_accessor_3d_subscript.cpp
@@ -0,0 +1,35 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==------------------ local_accessor_3d_subscript.cpp ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// Tests that the subscript operator on a 3-dimensional local_accessor correctly
+// compiles and runs.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  size_t Result = 0;
+  sycl::queue Q;
+  {
+    sycl::buffer<size_t, 1> Buf(&Result, 1);
+    Q.submit([&](sycl::handler &CGH) {
+      sycl::local_accessor<size_t, 3> LocalMem(sycl::range<3>(1, 1, 1), CGH);
+      auto Acc = Buf.get_access(CGH);
+      CGH.parallel_for(1, [=](sycl::item<1> It) {
+        LocalMem[It][It][It] = 42;
+        Acc[It] = LocalMem[It][It][It];
+      });
+    });
+  }
+  assert(Result == 42);
+  std::cout << "success!" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/mad_sat.cpp b/sycl/test-e2e/Regression/mad_sat.cpp
new file mode 100644
index 0000000000000..6b77a22589db9
--- /dev/null
+++ b/sycl/test-e2e/Regression/mad_sat.cpp
@@ -0,0 +1,138 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUNx: %CPU_RUN_PLACEHOLDER %t.out
+// RUNx: %GPU_RUN_PLACEHOLDER %t.out
+// RUNx: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue testQueue;
+
+  using longlong3 = sycl::vec<long long, 3>;
+  using longlong4 = sycl::vec<long long, 4>;
+  using longlong8 = sycl::vec<long long, 8>;
+  using longlong16 = sycl::vec<long long, 16>;
+
+  {
+    const longlong3 verification3(9223372036854775807LL, 9223372036854775807LL,
+                                  -9223372036854775808LL);
+
+    longlong3 inputData_0(1152105081885725616LL, 8383539663869980295LL,
+                          -3013159033463244495LL);
+    longlong3 inputData_1(9169239286331099647LL, 8545168655265359544LL,
+                          69290337040907021LL);
+    longlong3 inputData_2(-5670250901301018333LL, 216462155376518854LL,
+                          -7910909987096217335LL);
+
+    sycl::buffer<longlong3, 1> buffer(1);
+
+    testQueue.submit([&](sycl::handler &h) {
+      auto resultPtr = buffer.template get_access<sycl::access::mode::write>(h);
+      h.single_task<class k3>([=]() {
+        resultPtr[0] = sycl::mad_sat(inputData_0, inputData_1, inputData_2);
+      });
+    });
+    const auto HostAccessor = buffer.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < 3; i++)
+      assert((HostAccessor[0][i] == verification3[i]) && "Incorrect result");
+  }
+  {
+    const longlong4 verification4(9223372036854775807LL, 9223372036854775807LL,
+                                  -9223372036854775808LL,
+                                  9223372036854775807LL);
+
+    longlong4 inputData_0(-4713774672458165250LL, 7161321293740295698LL,
+                          -7560042360032818022LL, 1712118953348815386LL);
+    longlong4 inputData_1(-5256951628950351348LL, 3094294642897896981LL,
+                          4183324171724765944LL, 1726930751531248453LL);
+    longlong4 inputData_2(-614349234816759997LL, -7793620271163345724LL,
+                          5480991826433743823LL, -3977840325478979484LL);
+
+    sycl::buffer<longlong4, 1> buffer(1);
+
+    testQueue.submit([&](sycl::handler &h) {
+      auto resultPtr = buffer.template get_access<sycl::access::mode::write>(h);
+      h.single_task<class k4>([=]() {
+        resultPtr[0] = sycl::mad_sat(inputData_0, inputData_1, inputData_2);
+      });
+    });
+    const auto HostAccessor = buffer.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < 4; i++)
+      assert((HostAccessor[0][i] == verification4[i]) && "Incorrect result");
+  }
+  {
+    const longlong8 verification8(
+        9223372036854775807LL, 9223372036854775807LL, -9223372036854775808LL,
+        -9223372036854775808LL, 9223372036854775807LL, 9223372036854775807LL,
+        -9223372036854775808LL, -9223372036854775808LL);
+
+    longlong8 inputData_0(3002837817109371705LL, -6132505093056073745LL,
+                          -2677806413031023542LL, -3906932152445696896LL,
+                          -5966911996430888011LL, 487233493241732294LL,
+                          8234534527416862935LL, 8302379558520488989LL);
+    longlong8 inputData_1(3895748400226584336LL, -3171989754828069475LL,
+                          6135091761884568657LL, 3449810579449494485LL,
+                          -5153085649597103327LL, 2036067225828737775LL,
+                          -2456339276147680058LL, -2321401317481120691LL);
+    longlong8 inputData_2(5847800471474896191LL, 6421268696360310080LL,
+                          426131359031594004LL, 3388848179800138438LL,
+                          9095634920776267157LL, 3909069092545608647LL,
+                          -6551917618131929798LL, -5283018165188606431LL);
+
+    sycl::buffer<longlong8, 1> buffer(1);
+
+    testQueue.submit([&](sycl::handler &h) {
+      auto resultPtr = buffer.template get_access<sycl::access::mode::write>(h);
+      h.single_task<class k8>([=]() {
+        resultPtr[0] = sycl::mad_sat(inputData_0, inputData_1, inputData_2);
+      });
+    });
+    const auto HostAccessor = buffer.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < 8; i++)
+      assert((HostAccessor[0][i] == verification8[i]) && "Incorrect result");
+  }
+  {
+    const longlong16 verification16(
+        -9223372036854775808LL, 9223372036854775807LL, 9223372036854775807LL,
+        -9223372036854775808LL, 9223372036854775807LL, 9223372036854775807LL,
+        9223372036854775807LL, 9223372036854775807LL, 9223372036854775807LL,
+        9223372036854775807LL, -9223372036854775808LL, 9223372036854775807LL,
+        -9223372036854775808LL, 9223372036854775807LL, -9223372036854775808LL,
+        -9223372036854775808LL);
+
+    longlong16 inputData_0(
+        4711072418277000515LL, -8205098172692021203LL, -7385016145788992368LL,
+        5953521028589173909LL, -5219240995491769312LL, 8710496141913755416LL,
+        -6685846261491268433LL, 4193173269411595542LL, -8540195959022520771LL,
+        -4715465363106336895LL, -1020086937442724783LL, 4496316677230042947LL,
+        1321442475247578017LL, -7374746170855359764LL, -3206370806055241163LL,
+        -2175226063524462053LL);
+    longlong16 inputData_1(
+        -9126728881985856159LL, -8235441378758843293LL, -3529617622861997052LL,
+        -4696495345590499183LL, -2446014787831249326LL, 3966377959819902357LL,
+        -8707315735766590681LL, 4940281453308003965LL, -4008494233289413829LL,
+        -1007875458987895243LL, 8007184939842565626LL, 7006363475270750393LL,
+        -3126435375497361798LL, -2666957213164527889LL, 3425215156535282625LL,
+        5057359883753713949LL);
+    longlong16 inputData_2(
+        -5792361016316836568LL, 1155364222481085809LL, 7552404711758320408LL,
+        -9123476257323872288LL, -924920183965907175LL, 1921314238201973170LL,
+        3462681782260196063LL, 7822120358287768333LL, -3130033938219713817LL,
+        -3165995450630991604LL, -7647706888277832178LL, -8427901934971949821LL,
+        4207763935319579681LL, 1564279736903158695LL, 3722632463806041635LL,
+        939009161285897285LL);
+
+    sycl::buffer<longlong16, 1> buffer(1);
+
+    testQueue.submit([&](sycl::handler &h) {
+      auto resultPtr = buffer.template get_access<sycl::access::mode::write>(h);
+
+      h.single_task<class k16>([=]() {
+        resultPtr[0] = sycl::mad_sat(inputData_0, inputData_1, inputData_2);
+      });
+    });
+    const auto HostAccessor = buffer.get_access<sycl::access::mode::read>();
+    for (int i = 0; i < 16; i++)
+      assert((HostAccessor[0][i] == verification16[i]) && "Incorrect result");
+  }
+}
diff --git a/sycl/test-e2e/Regression/msvc_crt.cpp b/sycl/test-e2e/Regression/msvc_crt.cpp
new file mode 100644
index 0000000000000..71b6e1decb676
--- /dev/null
+++ b/sycl/test-e2e/Regression/msvc_crt.cpp
@@ -0,0 +1,47 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple /MD -o %t1.exe %s
+// RUN: %CPU_RUN_PLACEHOLDER %t1.exe
+// RUN: %GPU_RUN_PLACEHOLDER %t1.exe
+// RUN: %ACC_RUN_PLACEHOLDER %t1.exe
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple /MDd -o %t2.exe %s
+// RUN: %CPU_RUN_PLACEHOLDER %t2.exe
+// RUN: %GPU_RUN_PLACEHOLDER %t2.exe
+// RUN: %ACC_RUN_PLACEHOLDER %t2.exe
+// REQUIRES: system-windows, cl_options
+//==-------------- msvc_crt.cpp - SYCL MSVC CRT test -----------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// MSVC provides two different incompatible variants of CRT: debug and release.
+// This test checks if clang driver is able to handle this properly.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  int data[] = {0, 0, 0};
+
+  {
+    buffer<int, 1> b(data, range<1>(3), {property::buffer::use_host_ptr()});
+    queue q;
+    q.submit([&](handler &cgh) {
+      auto B = b.get_access<access::mode::write>(cgh);
+      cgh.parallel_for<class test>(range<1>(3), [=](id<1> idx) { B[idx] = 1; });
+    });
+  }
+
+  bool isSuccess = true;
+
+  for (int i = 0; i < 3; i++)
+    if (data[i] != 1)
+      isSuccess = false;
+
+  if (!isSuccess)
+    return -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/multiple-targets.cpp b/sycl/test-e2e/Regression/multiple-targets.cpp
new file mode 100644
index 0000000000000..9c5516124b44f
--- /dev/null
+++ b/sycl/test-e2e/Regression/multiple-targets.cpp
@@ -0,0 +1,71 @@
+// This test checks if CUDA and HIP can be compiled and run with spirv.
+// It tests if the target triples can be specified with any order.
+// The test is repeated for per_kernel device code splitting.
+//
+// REQUIRES: CUDA || HIP
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple,spirv64 -o %t.out %s \
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=spirv64,%sycl_triple -o %t.out %s \
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple,spirv64 -fsycl-device-code-split=per_kernel -o %t.out %s \
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=spirv64,%sycl_triple -fsycl-device-code-split=per_kernel -o %t.out %s \
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// XFAIL: hip_nvidia
+//
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Q;
+  int A_Data[10] = {0};
+  int B_Data[10] = {4};
+  int C_Data[10] = {-1};
+
+  {
+    sycl::buffer<int, 1> A_Buf(A_Data, sycl::range<1>(10));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto A_Acc = A_Buf.get_access<sycl::access::mode::write>(Cgh);
+      Cgh.parallel_for(sycl::range<1>{5},
+                       [=](sycl::id<1> index) { A_Acc[index] = 5; });
+    });
+  }
+
+  assert(A_Data[0] == 5);
+
+  {
+    sycl::buffer<int, 1> B_Buf(B_Data, sycl::range<1>(10));
+    sycl::buffer<int, 1> C_Buf(C_Data, sycl::range<1>(10));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto B_Acc = B_Buf.get_access<sycl::access::mode::read_write>(Cgh);
+      auto C_Acc = C_Buf.get_access<sycl::access::mode::read>(Cgh);
+      Cgh.parallel_for(sycl::range<1>{5}, [=](sycl::id<1> index) {
+        B_Acc[index] += C_Acc[index];
+      });
+    });
+  }
+
+  assert(B_Data[0] == 3);
+
+  {
+    sycl::buffer<int, 1> B_Buf(B_Data, sycl::range<1>(10));
+    sycl::buffer<int, 1> C_Buf(C_Data, sycl::range<1>(10));
+
+    Q.submit([&](sycl::handler &Cgh) {
+      auto B_Acc = B_Buf.get_access<sycl::access::mode::read>(Cgh);
+      auto C_Acc = C_Buf.get_access<sycl::access::mode::write>(Cgh);
+      Cgh.parallel_for(sycl::range<1>{5},
+                       [=](sycl::id<1> index) { C_Acc[index] = B_Acc[index]; });
+    });
+  }
+
+  assert(C_Data[0] == 3);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/nontrivial_device_copyable_value.cpp b/sycl/test-e2e/Regression/nontrivial_device_copyable_value.cpp
new file mode 100644
index 0000000000000..f6cad5fbf6c3a
--- /dev/null
+++ b/sycl/test-e2e/Regression/nontrivial_device_copyable_value.cpp
@@ -0,0 +1,44 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Note: Tests that non-trivially copyable types marked as device-copyable are
+// copied and used correctly on the device.
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+struct NontriviallyCopyable {
+  int i;
+  NontriviallyCopyable(int _i) : i(_i) {}
+  NontriviallyCopyable(const NontriviallyCopyable &x) : i(x.i) {}
+};
+
+template <> struct is_device_copyable<NontriviallyCopyable> : std::true_type {};
+
+int main() {
+  queue Q;
+
+  NontriviallyCopyable C(10);
+
+  int Res = 0;
+  {
+    buffer<int, 1> Buff{&Res, range<1>{1}};
+
+    Q.submit([&](sycl::handler &cgh) {
+      auto Acc = Buff.get_access<access::mode::write>(cgh);
+      cgh.single_task<class Kernel>([=] { Acc[0] = C.i; });
+    });
+  }
+
+  if (Res != C.i) {
+    std::cout << "Mismatch: " << Res << " != " << C.i << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/optimization_level_debug_info_intopt.cpp b/sycl/test-e2e/Regression/optimization_level_debug_info_intopt.cpp
new file mode 100644
index 0000000000000..2cd6e145264de
--- /dev/null
+++ b/sycl/test-e2e/Regression/optimization_level_debug_info_intopt.cpp
@@ -0,0 +1,20 @@
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -O0 -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -O1 -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -O2 -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -O3 -o %t.out
+
+// NOTE: Tests that debugging information can be generated for all integral
+// optimization levels.
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class kernel_test>(100, [=](sycl::id<1> idx) {});
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/optimization_level_debug_info_specopt.cpp b/sycl/test-e2e/Regression/optimization_level_debug_info_specopt.cpp
new file mode 100644
index 0000000000000..e6b7a6a357fed
--- /dev/null
+++ b/sycl/test-e2e/Regression/optimization_level_debug_info_specopt.cpp
@@ -0,0 +1,21 @@
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -Ofast -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -Os -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -Oz -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -Og -o %t.out
+// RUN: %clangxx %debug_option -fsycl -fsycl-targets=%sycl_triple %s -O -o %t.out
+
+// NOTE: Tests that debugging information can be generated for all special-name
+// optimization levels.
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class kernel_test>(100, [=](sycl::id<1> idx) {});
+  });
+  q.wait();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/pi_release.cpp b/sycl/test-e2e/Regression/pi_release.cpp
new file mode 100644
index 0000000000000..1abd231a209d2
--- /dev/null
+++ b/sycl/test-e2e/Regression/pi_release.cpp
@@ -0,0 +1,15 @@
+// REQUIRES: opencl || level_zero || cuda
+// RUN: %clangxx -fsycl  -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=-1 %ACC_RUN_PLACEHOLDER %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+  return 0;
+}
+
+// CHECK: piQueueRelease
+// CHECK: piContextRelease
diff --git a/sycl/test-e2e/Regression/private_array_init_test.cpp b/sycl/test-e2e/Regression/private_array_init_test.cpp
new file mode 100644
index 0000000000000..12bd9fa339def
--- /dev/null
+++ b/sycl/test-e2e/Regression/private_array_init_test.cpp
@@ -0,0 +1,47 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==- private_array_init_test.cpp - Regression test for private array init -==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+namespace s = sycl;
+
+class A {
+public:
+  A() : _arr{0, 0, 0} {}
+
+  size_t size() { return sizeof(_arr) / sizeof(_arr[0]); }
+
+private:
+  size_t _arr[3];
+};
+
+int main() {
+  size_t data = 1;
+
+  s::queue q;
+  {
+    s::buffer<size_t, 1> buf(&data, s::range<1>(1));
+    q.submit([&](s::handler &cgh) {
+      auto acc = buf.get_access<s::access::mode::read_write>(cgh);
+      cgh.single_task<class test>([=]() {
+        // Test that SYCL program is not crashed if it contains a class/struct
+        // that has private array member which is initialized by zeroes.
+        acc[0] += A().size();
+      });
+    });
+  }
+
+  assert(data == 4);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/reduction_resource_leak_dw.cpp b/sycl/test-e2e/Regression/reduction_resource_leak_dw.cpp
new file mode 100644
index 0000000000000..0fd5b50a89236
--- /dev/null
+++ b/sycl/test-e2e/Regression/reduction_resource_leak_dw.cpp
@@ -0,0 +1,34 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// XFAIL: windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: LEAK
+
+// Tests that additional resources required by discard_write reductions do not
+// leak.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Q;
+
+  nd_range<1> NDRange(range<1>{49 * 5}, range<1>{49});
+  std::plus<> BOp;
+
+  buffer<int, 1> OutBuf(1);
+  buffer<int, 1> InBuf(49 * 5);
+  Q.submit([&](handler &CGH) {
+    auto In = InBuf.get_access<access::mode::read>(CGH);
+    auto Redu = reduction(OutBuf, CGH, 0, BOp,
+                          {property::reduction::initialize_to_identity{}});
+    CGH.parallel_for<class DiscardSum>(
+        NDRange, Redu, [=](nd_item<1> NDIt, auto &Sum) {
+          Sum.combine(In[NDIt.get_global_linear_id()]);
+        });
+  });
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/reduction_resource_leak_usm.cpp b/sycl/test-e2e/Regression/reduction_resource_leak_usm.cpp
new file mode 100644
index 0000000000000..3284ed9a7b7a0
--- /dev/null
+++ b/sycl/test-e2e/Regression/reduction_resource_leak_usm.cpp
@@ -0,0 +1,34 @@
+// REQUIRES: level_zero, level_zero_dev_kit
+// TODO: ZE_DEBUG=4 produces no output on Windows. Enable when fixed.
+// XFAIL: windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %level_zero_options %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="level_zero:*" ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// CHECK-NOT: LEAK
+
+// Tests that additional resources required by USM reductions do not leak.
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue Q;
+
+  nd_range<1> NDRange(range<1>{49 * 5}, range<1>{49});
+  std::plus<> BOp;
+
+  int *Out = malloc_shared<int>(1, Q);
+  int *In = malloc_shared<int>(49 * 5, Q);
+  Q.submit([&](handler &CGH) {
+     auto Redu = reduction(Out, 0, BOp);
+     CGH.parallel_for<class USMSum>(
+         NDRange, Redu, [=](nd_item<1> NDIt, auto &Sum) {
+           Sum.combine(In[NDIt.get_global_linear_id()]);
+         });
+   }).wait();
+  sycl::free(In, Q);
+  sycl::free(Out, Q);
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/same_unnamed_kernels.cpp b/sycl/test-e2e/Regression/same_unnamed_kernels.cpp
new file mode 100644
index 0000000000000..fef7b5d6b6cc8
--- /dev/null
+++ b/sycl/test-e2e/Regression/same_unnamed_kernels.cpp
@@ -0,0 +1,48 @@
+// RUN: %clangxx -fsycl %s -o %t.out -fsycl-unnamed-lambda
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// XFAIL: gpu
+// UNSUPPORTED: hip
+
+//==----- same_unnamed_kernels.cpp - SYCL kernel naming variants test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+template <typename F, typename B>
+void run(sycl::queue &q, B &buf, const F &func) {
+  auto e = q.submit([&](sycl::handler &cgh) {
+    auto acc = buf.template get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task([=]() { func(acc); });
+  });
+  e.wait();
+}
+
+int main() {
+  sycl::queue q;
+
+  int A[1] = {1};
+  int B[1] = {1};
+  sycl::buffer<int, 1> bufA(A, 1);
+  sycl::buffer<int, 1> bufB(B, 1);
+
+  run(q, bufA,
+      [&](const sycl::accessor<int, 1, sycl::access::mode::write> &acc) {
+        acc[0] = 0;
+      });
+  run(q, bufB,
+      [&](const sycl::accessor<int, 1, sycl::access::mode::write> &acc) {
+        acc[0] *= 2;
+      });
+
+  if (A[0] != 0 || B[0] != 2)
+    return -1;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/set-arg-local-accessor.cpp b/sycl/test-e2e/Regression/set-arg-local-accessor.cpp
new file mode 100644
index 0000000000000..bd5f803528f7e
--- /dev/null
+++ b/sycl/test-e2e/Regression/set-arg-local-accessor.cpp
@@ -0,0 +1,75 @@
+// REQUIRES: opencl, opencl_icd
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s %opencl_lib -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+const char *clSource = R"(
+    kernel void test(global int *a, local float *b, int n) {
+        if (get_local_id(0) == 0) {
+          for (int i = 0; i < n; i++)
+              b[i] = i;
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        bool ok = true;
+        for (int i = 0; i < n; i++)
+            ok &= (b[i] == i);
+
+        a[get_global_id(0)] = ok;
+    }
+)";
+
+kernel getKernel(const queue &Q) {
+  cl_int status = CL_SUCCESS;
+
+  auto device_cl = get_native<backend::opencl>(Q.get_device());
+  auto context_cl = get_native<backend::opencl>(Q.get_context());
+  auto program_cl =
+      clCreateProgramWithSource(context_cl, 1, &clSource, nullptr, &status);
+  assert(CL_SUCCESS == status);
+  status = clBuildProgram(program_cl, 0, nullptr, "", nullptr, nullptr);
+  assert(CL_SUCCESS == status);
+  auto kernel_cl = clCreateKernel(program_cl, "test", &status);
+  assert(CL_SUCCESS == status);
+
+  return make_kernel<backend::opencl>(kernel_cl, Q.get_context());
+}
+
+int main() {
+  queue Q;
+  auto K = getKernel(Q);
+
+  constexpr cl_int N_slm = 256;
+  constexpr int N_wg = 32;
+
+  cl_int init[N_wg];
+  buffer<cl_int, 1> b(init, N_wg);
+
+  Q.submit([&](handler &cgh) {
+    auto acc_global = b.get_access<access::mode::write>(cgh);
+    local_accessor<float, 1> acc_local(N_slm, cgh);
+
+    cgh.set_arg(0, acc_global);
+    cgh.set_arg(1, acc_local);
+    cgh.set_arg(2, N_slm);
+
+    cgh.parallel_for(nd_range<1>(N_wg, 1), K);
+  });
+
+  auto acc_global = b.get_access<access::mode::read>();
+  for (int i = 0; i < N_wg; i++) {
+    if (acc_global[i] != 1) {
+      std::cerr << "Error in WG " << i << std::endl;
+      exit(1);
+    }
+  }
+
+  std::cout << "Success" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/static-buffer-dtor.cpp b/sycl/test-e2e/Regression/static-buffer-dtor.cpp
new file mode 100644
index 0000000000000..a4d7efd741861
--- /dev/null
+++ b/sycl/test-e2e/Regression/static-buffer-dtor.cpp
@@ -0,0 +1,34 @@
+//==-- static-buffer-dtor.cpp ----------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// This checks that the runtime does not crash if there are SYCL buffer
+// destructors that run as part of program shutdown, after the runtime itself
+// would start shutting down.
+//===----------------------------------------------------------------------===//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Failing on HIP AMD
+// UNSUPPORTED: hip_amd
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  uint8_t *h_A = (uint8_t *)malloc(256);
+  static sycl::buffer<uint8_t> bufs[2] = {sycl::range<1>(256),
+                                          sycl::range<1>(256)};
+  sycl::queue q;
+  q.submit([&](sycl::handler &cgh) {
+    cgh.copy(h_A, bufs[0].get_access<sycl::access::mode::write>(cgh));
+  });
+  q.submit([&](sycl::handler &cgh) {
+    cgh.copy(h_A, bufs[1].get_access<sycl::access::mode::write>(cgh));
+  });
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/unoptimized_stream.cpp b/sycl/test-e2e/Regression/unoptimized_stream.cpp
new file mode 100644
index 0000000000000..15d4307f5ec4e
--- /dev/null
+++ b/sycl/test-e2e/Regression/unoptimized_stream.cpp
@@ -0,0 +1,18 @@
+// Test hangs on AMD with https://github.com/intel/llvm/pull/8412
+// UNSUPPORTED: hip_amd
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -O0 -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+  q.submit([&](sycl::handler &cgh) {
+    sycl::stream os(1024, 256, cgh);
+    cgh.single_task([=]() { os << "test"; });
+  });
+  q.wait();
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/usm_malloc_shared.cpp b/sycl/test-e2e/Regression/usm_malloc_shared.cpp
new file mode 100644
index 0000000000000..d044768398932
--- /dev/null
+++ b/sycl/test-e2e/Regression/usm_malloc_shared.cpp
@@ -0,0 +1,48 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// This test checks if users will successfully allocate 160, 0, and -16 bytes of
+// shared memory, and also test user can call free() without worrying about
+// nullptr or invalid memory descriptor returned from malloc.
+
+#include <iostream>
+#include <stdlib.h>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+  auto exception_handler = [](sycl::exception_list exceptions) {
+    for (std::exception_ptr const &e : exceptions) {
+      try {
+        std::rethrow_exception(e);
+      } catch (sycl::exception const &e) {
+        std::cout << "Caught asynchronous SYCL "
+                     "exception:\n"
+                  << e.what() << std::endl;
+      }
+    }
+  };
+
+  queue myQueue(default_selector_v, exception_handler);
+  std::cout << "Device: " << myQueue.get_device().get_info<info::device::name>()
+            << std::endl;
+
+  double *ia = (double *)malloc_shared(160, myQueue);
+  double *ja = (double *)malloc_shared(0, myQueue);
+  double *result = (double *)malloc_shared(-16, myQueue);
+
+  assert(ia != nullptr);
+  assert(ja == nullptr);
+  assert(result == nullptr);
+
+  std::cout << "ia : " << ia << " ja: " << ja << " result : " << result
+            << std::endl;
+
+  // followings should not throw CL_INVALID_VALUE
+  sycl::free(ia, myQueue);
+  sycl::free(nullptr, myQueue);
+  sycl::free(ja, myQueue);
+  sycl::free(result, myQueue);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Regression/zero_size_local_accessor.cpp b/sycl/test-e2e/Regression/zero_size_local_accessor.cpp
new file mode 100644
index 0000000000000..6298d8b6db85b
--- /dev/null
+++ b/sycl/test-e2e/Regression/zero_size_local_accessor.cpp
@@ -0,0 +1,26 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---- zero_size_local_accessor.cpp - SYCL 0-size local accessor test ----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Q;
+  Q.submit([&](sycl::handler &CGH) {
+     sycl::local_accessor<uint8_t, 1> ZeroSizeLocalAcc(sycl::range<1>(0), CGH);
+     CGH.single_task([=]() {
+       if (ZeroSizeLocalAcc.get_range()[0])
+         ZeroSizeLocalAcc[0] = 1;
+     });
+   }).wait();
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/basic-rw-float.cpp b/sycl/test-e2e/Sampler/basic-rw-float.cpp
new file mode 100644
index 0000000000000..55f31e8c71251
--- /dev/null
+++ b/sycl/test-e2e/Sampler/basic-rw-float.cpp
@@ -0,0 +1,105 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using pixelT = sycl::float4;
+
+// Refernece for four pixels, no sampler
+std::vector<pixelT> ref = {{0.2, 0.4, 0.6, 0.8},
+                           {0.6, 0.4, 0.2, 0},
+                           {0.2, 0.4, 0.6, 0.8},
+                           {0.6, 0.4, 0.2, 0}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+void test_rw(image_channel_order ChanOrder, image_channel_type ChanType) {
+  int numTests = 4; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // verify our four pixels were set up correctly.
+        // 0-3 read four pixels. no sampler
+        test_acc[i++] = image_acc.read(0); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(1); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(2); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(3); // {11,12,13,14}
+
+        // Add more tests below. Just be sure to increase the numTests counter
+        // at the beginning of this function
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels, no sampler" << std::endl;
+    check_pixels(test_acc, ref, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_rw(image_channel_order::rgba, image_channel_type::fp32);
+
+    // CUDA, strangely, does not support 8-bit channels. Turning this off for
+    // now.
+    // std::cout << "unorm_int8 -------" << std::endl;
+    // test_rw(image_channel_order::rgba, image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/basic-rw.cpp b/sycl/test-e2e/Sampler/basic-rw.cpp
new file mode 100644
index 0000000000000..2f800b0fc71f6
--- /dev/null
+++ b/sycl/test-e2e/Sampler/basic-rw.cpp
@@ -0,0 +1,114 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+    This file sets up an image, initializes it with data, and verifies that the
+   data can be read directly.
+
+    Use it as a base file for testing any condition.
+
+    clang++ -fsycl -sycl-std=121 -o binx.bin basic-rw.cpp
+
+    ONEAPI_DEVICE_SELECTOR=opencl:gpu ./binx.bin
+    ONEAPI_DEVICE_SELECTOR=level_zero:gpu ./binx.bin
+    ONEAPI_DEVICE_SELECTOR=opencl:cpu ./binx.bin
+
+    ONEAPI_DEVICE_SELECTOR=opecl:acc ../binx.bin    <--  does not support image
+   operations at this time.
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Reference for four pixels, no sampler
+std::vector<pixelT> ref = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+void test_rw(image_channel_order ChanOrder, image_channel_type ChanType) {
+  int numTests = 4; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // verify our four pixels were set up correctly.
+        // 0-3 read four pixels. no sampler
+        test_acc[i++] = image_acc.read(0); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(1); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(2); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(3); // {11,12,13,14}
+
+        // Add more tests below. Just be sure to increase the numTests counter
+        // at the beginning of this function
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels, no sampler" << std::endl;
+    check_pixels(test_acc, ref, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_rw(image_channel_order::rgba, image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/common.hpp b/sycl/test-e2e/Sampler/common.hpp
new file mode 100644
index 0000000000000..6ac69e1121b19
--- /dev/null
+++ b/sycl/test-e2e/Sampler/common.hpp
@@ -0,0 +1,51 @@
+#include <iostream>
+#include <limits>
+#include <string>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+template <typename vecType, int numOfElems>
+std::string vec2string(const vec<vecType, numOfElems> &vec) {
+  std::string str = "";
+  for (size_t i = 0; i < numOfElems - 1; ++i) {
+    str += std::to_string(vec[i]) + ",";
+  }
+  str = "{" + str + std::to_string(vec[numOfElems - 1]) + "}";
+  return str;
+}
+
+template <typename vecType, int numOfElems>
+void check_pixel(const vec<vecType, numOfElems> &result,
+                 const vec<vecType, numOfElems> &ref, int index) {
+  // 0 ULP difference is allowed for integer type
+  int precision = 0;
+  // 1 ULP difference is allowed for float type
+  if (std::is_floating_point<vecType>::value) {
+    precision = 1;
+  }
+
+  int4 resultInt = result.template as<int4>();
+  int4 refInt = ref.template as<int4>();
+  int4 diff = resultInt - refInt;
+  int isCorrect = all((diff <= precision) && (diff >= (-precision)));
+  if (isCorrect) {
+    std::cout << index << " -- " << vec2string(result) << std::endl;
+  } else {
+    std::string errMsg = "unexpected result: " + vec2string(result) +
+                         " vs reference: " + vec2string(ref);
+    std::cout << index << " -- " << errMsg << std::endl;
+    exit(1);
+  }
+}
+
+template <typename accType, typename pixelType>
+void check_pixels(accType &pixels, const std::vector<pixelType> &ref,
+                  size_t &offset) {
+  for (int i = offset, ref_i = 0; i < ref.size(); i++, ref_i++) {
+    pixelType testPixel = pixels[i];
+    check_pixel(testPixel, ref[ref_i], i);
+  }
+  offset += ref.size();
+}
\ No newline at end of file
diff --git a/sycl/test-e2e/Sampler/normalized-clamp-linear-float.cpp b/sycl/test-e2e/Sampler/normalized-clamp-linear-float.cpp
new file mode 100644
index 0000000000000..83b09de93e9c7
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-clamp-linear-float.cpp
@@ -0,0 +1,167 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    CLAMP address_mode and LINEAR filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::float4;
+
+// Seven pixels at 'boundary' locations, starting out of bounds
+// sample: Normalized + Clamp + Linear
+std::vector<pixelT> ref_boundary = {{0, 0, 0, 0},         {0.1, 0.2, 0.3, 0.4},
+                                    {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4},
+                                    {0.4, 0.4, 0.4, 0.4}, {0.3, 0.2, 0.1, 0},
+                                    {0, 0, 0, 0}};
+// Two pixels on either side of first pixel. float coordinates.
+// sample: Normalized +Clamp + Linear
+std::vector<pixelT> ref_side = {{0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto linear = filtering_mode::linear;
+
+void test_normalized_clamp_linear_sampler(image_channel_order ChanOrder,
+                                          image_channel_type ChanType) {
+  int numTests = 9; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_Clamp_Linear_sampler =
+        sampler(normalized, addressing_mode::clamp, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-6 read seven pixels at 'boundary' locations, starting out of
+        // bounds,  sample:   Normalized +  Clamp  + Linear
+        test_acc[i++] =
+            image_acc.read(-0.25f, Norm_Clamp_Linear_sampler); // {0,0,0,0}
+        test_acc[i++] = image_acc.read(
+            0.00f,
+            Norm_Clamp_Linear_sampler); // {0.1,0.2,0.3,0.4} // interpolating
+                                        // with bg color. consistent with
+                                        // unnormalized. Doesn't seem 100%
+                                        // correct to me, but don't ahve
+                                        // anything to compare against presnetly
+        test_acc[i++] = image_acc.read(
+            0.25f, Norm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.50f, Norm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.75f, Norm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] =
+            image_acc.read(1.00f,
+                           Norm_Clamp_Linear_sampler); // {0.3,0.2,0.1,0}  //
+                                                       // interpolating with bg
+        test_acc[i++] =
+            image_acc.read(1.25f, Norm_Clamp_Linear_sampler); // {0,0,0,0}
+
+        // 7-8 read two pixels on either side of first pixel. float coordinates.
+        // CLAMP
+        //  on GPU CLAMP is apparently stopping the interpolation. ( values on
+        //  right are expected value)
+        test_acc[i++] = image_acc.read(
+            0.2499999f, Norm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.2500001f, Norm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read seven pixels at 'boundary' locations, starting out of "
+                 "bounds,  sample:   Normalized +  Clamp  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_boundary, offset);
+
+    std::cout << "read two pixels on either side of first pixel. float "
+                 "coordinates. Normalized +  Clamp  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_side, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_normalized_clamp_linear_sampler(image_channel_order::rgba,
+                                         image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_normalized_clamp_linear_sampler(image_channel_order::rgba,
+                                         image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-clamp-nearest.cpp b/sycl/test-e2e/Sampler/normalized-clamp-nearest.cpp
new file mode 100644
index 0000000000000..58141abfd501c
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-clamp-nearest.cpp
@@ -0,0 +1,144 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// LevelZero has a bug wherein it always returns the first pixel value.
+// Will re-enable once fixed.
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    CLAMP address_mode and NEAREST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Four pixels at low-boundary locations, sample: Normalized + Clamp + Nearest
+std::vector<pixelT> ref_in = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Three pixels out of bounds, sample: Normalized + Clamp + Nearest
+std::vector<pixelT> ref_out = {{0, 0, 0, 0}, {0, 0, 0, 0}, {0, 0, 0, 0}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_normalized_clamp_nearest_sampler(image_channel_order ChanOrder,
+                                           image_channel_type ChanType) {
+  int numTests = 7; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_Clamp_Nearest_sampler =
+        sampler(normalized, addressing_mode::clamp, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_nearest>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-3 read four pixels at low-boundary locations,  sample:   Normalized
+        // +  Clamp  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.00f, Norm_Clamp_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(0.25f, Norm_Clamp_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] =
+            image_acc.read(0.50f, Norm_Clamp_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(0.75f, Norm_Clamp_Nearest_sampler); // {11,12,13,14}
+
+        // 4-6 read three pixels out of bounds,   sample:   Normalized + Clamp +
+        // Nearest
+        test_acc[i++] =
+            image_acc.read(-0.125f, Norm_Clamp_Nearest_sampler); // {0,0,0,0}
+        test_acc[i++] =
+            image_acc.read(1.0f, Norm_Clamp_Nearest_sampler); // {0,0,0,0}
+        test_acc[i++] =
+            image_acc.read(1.125f, Norm_Clamp_Nearest_sampler); // {0,0,0,0}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels at low-boundary locations,  sample:   "
+                 "Normalized +  Clamp  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_in, offset);
+
+    std::cout << "read three pixels out of bounds,   sample:   Normalized "
+                 "+ Clamp + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_out, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_normalized_clamp_nearest_sampler(image_channel_order::rgba,
+                                          image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-clampedge-linear-float.cpp b/sycl/test-e2e/Sampler/normalized-clampedge-linear-float.cpp
new file mode 100644
index 0000000000000..be752f0748d05
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-clampedge-linear-float.cpp
@@ -0,0 +1,156 @@
+// UNSUPPORTED: cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// XFAIL: hip
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    CLAMPEDGE address_mode and LINEAR filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::float4;
+
+// Three pixels at inner boundary locations
+// sample: Normalized + ClampEdge + Linear
+std::vector<pixelT> ref_in = {
+    {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+// Four pixels at either side of outer boundary
+// sample: Normlized + ClampEdge + Linear
+std::vector<pixelT> ref_out = {{0.2, 0.4, 0.6, 0.8},
+                               {0.2, 0.4, 0.6, 0.8},
+                               {0.6, 0.4, 0.2, 0},
+                               {0.6, 0.4, 0.2, 0}};
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto clamp_edge = addressing_mode::clamp_to_edge;
+constexpr auto linear = filtering_mode::linear;
+
+void test_normalized_clampedge_linear_sampler(image_channel_order ChanOrder,
+                                              image_channel_type ChanType) {
+  int numTests = 7; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_ClampEdge_Linear_sampler =
+        sampler(normalized, clamp_edge, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-2 read three pixels at inner boundary locations,  sample:
+        // Normalized +  ClampEdge  + Linear
+        test_acc[i++] = image_acc.read(
+            0.25f, Norm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.50f, Norm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.75f, Norm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+
+        // 3-6 read four pixels at either side of outer boundary with Normlized
+        // + ClampEdge + Linear
+        test_acc[i++] = image_acc.read(
+            -0.111f, Norm_ClampEdge_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(
+            0.0f, Norm_ClampEdge_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(
+            0.9999999f, Norm_ClampEdge_Linear_sampler); // {0.6,0.4,0.2,0}
+        test_acc[i++] = image_acc.read(
+            1.0f, Norm_ClampEdge_Linear_sampler); // {0.6,0.4,0.2,0}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read three pixels at inner boundary locations,  sample:  "
+                 " Normalized +  ClampEdge  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_in, offset);
+
+    std::cout << "read four pixels at either side of outer boundary with "
+                 "Normlized + ClampEdge + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_out, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_normalized_clampedge_linear_sampler(image_channel_order::rgba,
+                                             image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_normalized_clampedge_linear_sampler(image_channel_order::rgba,
+                                             image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-clampedge-nearest.cpp b/sycl/test-e2e/Sampler/normalized-clampedge-nearest.cpp
new file mode 100644
index 0000000000000..06ad8a0353411
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-clampedge-nearest.cpp
@@ -0,0 +1,146 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_ImageWrite, __spirv_SampledImage,
+// __spirv_ImageSampleExplicitLod on AMD
+// XFAIL: hip_amd
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    CLAMPEDGE address_mode and NEAREST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Four pixels at low-boundary locations
+// sample: Normalized + Clamp To Edge + Nearest
+std::vector<pixelT> ref_in = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Three pixels out of bounds, sample: Normalized + Clamp To Edge + Nearest
+std::vector<pixelT> ref_out = {
+    {1, 2, 3, 4}, {11, 12, 13, 14}, {11, 12, 13, 14}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto clamp_edge = addressing_mode::clamp_to_edge;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_normalized_clampedge_nearest_sampler(image_channel_order ChanOrder,
+                                               image_channel_type ChanType) {
+  int numTests = 7; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_ClampEdge_Nearest_sampler =
+        sampler(normalized, clamp_edge, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_nearest>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-3 read four pixels at low-boundary locations,  sample:   Normalized
+        // +  Clamp To Edge  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.00f, Norm_ClampEdge_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            0.25f, Norm_ClampEdge_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(
+            0.50f, Norm_ClampEdge_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(
+            0.75f, Norm_ClampEdge_Nearest_sampler); // {11,12,13,14}
+
+        // 4-6 read three pixels out of buonds,   sample:   Normalized + Clamp
+        // To Edge + Nearest
+        test_acc[i++] = image_acc.read(
+            -0.125f, Norm_ClampEdge_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            1.0f, Norm_ClampEdge_Nearest_sampler); // {11,12,13,14}
+        test_acc[i++] = image_acc.read(
+            1.125f, Norm_ClampEdge_Nearest_sampler); // {11,12,13,14}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels at low-boundary locations,  sample:   "
+                 "Normalized +  Clamp To Edge  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_in, offset);
+
+    std::cout << "read three pixels out of buonds,   sample:   Normalized "
+                 "+ Clamp To Edge + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_out, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_normalized_clampedge_nearest_sampler(
+        image_channel_order::rgba, image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-mirror-linear-float.cpp b/sycl/test-e2e/Sampler/normalized-mirror-linear-float.cpp
new file mode 100644
index 0000000000000..01de013bede12
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-mirror-linear-float.cpp
@@ -0,0 +1,174 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    MIRROR_REPEAT address_mode and LINEAR filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::float4;
+
+// Three pixels at inner boundary locations
+// sample: Normalized + Mirrored + Linear
+std::vector<pixelT> ref_in = {
+    {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+// Four pixels above right bound, sample: Normalized + Mirrored + Linear
+std::vector<pixelT> ref_right = {{0.6, 0.4, 0.2, 0},
+                                 {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4}};
+// four pixels below left bound. sample: Normalized + Mirrored + Linear
+std::vector<pixelT> ref_left = {{0.4, 0.4, 0.4, 0.4},
+                                {0.4, 0.4, 0.4, 0.4},
+                                {0.4, 0.4, 0.4, 0.4},
+                                {0.2, 0.4, 0.6, 0.8}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto mirrored = addressing_mode::mirrored_repeat;
+constexpr auto linear = filtering_mode::linear;
+
+void test_normalized_mirrored_linear_sampler(image_channel_order ChanOrder,
+                                             image_channel_type ChanType) {
+  int numTests = 11; // drives the size of the testResults buffer, and the
+                     // number of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_Mirror_Linear_sampler = sampler(normalized, mirrored, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-2 read three pixels at inner boundary locations,  sample:
+        // Normalized +  Mirrored  + Linear
+        test_acc[i++] = image_acc.read(
+            0.25f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.50f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.75f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+
+        // 3-6 read four pixels above right bound,   sample: Normalized +
+        // Mirrored + Linear
+        test_acc[i++] =
+            image_acc.read(1.0f, Norm_Mirror_Linear_sampler); // {0.6,0.4,0.2,0}
+        test_acc[i++] = image_acc.read(
+            1.25f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.5f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.75f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        // 7-10 read four pixels below left bound. sample: Normalized + Mirrored
+        // + Linear
+        test_acc[i++] = image_acc.read(
+            -0.75f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            -0.5f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            -0.25f, Norm_Mirror_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.0f, Norm_Mirror_Linear_sampler); // {0.2,0.4,0.6,0.8}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read three pixels at inner boundary locations,  sample:  "
+                 " Normalized +  Mirrored  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_in, offset);
+
+    std::cout << "read four pixels above right bound,   sample: Normalized "
+                 "+ Mirrored + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_right, offset);
+
+    std::cout << "read four pixels below left bound. sample: Normalized + "
+                 "Mirrored + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_left, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_normalized_mirrored_linear_sampler(image_channel_order::rgba,
+                                            image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_normalized_mirrored_linear_sampler(image_channel_order::rgba,
+                                            image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-mirror-nearest.cpp b/sycl/test-e2e/Sampler/normalized-mirror-nearest.cpp
new file mode 100644
index 0000000000000..471697dfb2148
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-mirror-nearest.cpp
@@ -0,0 +1,168 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// CUDA is not handling repeat or mirror correctly with normalized coordinates.
+// Waiting on a fix.
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    MIRROR_REPEAT address_mode and NEAREST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Four pixels at low-boundary locations
+// sample: Normalized + Mirrored Repeat + Nearest
+std::vector<pixelT> ref_boundary = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Four pixels outside rightmost boundary
+// sample: Normalized + Mirrored Repeat + Nearest
+std::vector<pixelT> ref_right = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Four pixels outside leftmost boundary
+// sample: Normalized + Mirrored Repeat + Nearest
+std::vector<pixelT> ref_left = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto mirrored = addressing_mode::mirrored_repeat;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_normalized_mirrored_nearest_sampler(image_channel_order ChanOrder,
+                                              image_channel_type ChanType) {
+  int numTests = 12; // drives the size of the testResults buffer, and the
+                     // number of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_Mirror_Nearest_sampler = sampler(normalized, mirrored, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_nearest>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-3 read four pixels at low-boundary locations,  sample:   Normalized
+        // + Mirrored Repeat  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.00f, Norm_Mirror_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(0.25f, Norm_Mirror_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] =
+            image_acc.read(0.50f, Norm_Mirror_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(0.75f, Norm_Mirror_Nearest_sampler); // {11,12,13,14}
+
+        // 4-7 read four pixels outside rightmost boundary,   sample: Normalized
+        // + Mirrored Repeat + Nearest
+        test_acc[i++] =
+            image_acc.read(1.875f, Norm_Mirror_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            1.625f, Norm_Mirror_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(
+            1.375f, Norm_Mirror_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(
+            1.125f, Norm_Mirror_Nearest_sampler); // {11,12,13,14}
+        // 8-11 read four pixels outside leftmost boundary,   sample: Normalized
+        // + Mirrored Repeat + Nearest
+        test_acc[i++] =
+            image_acc.read(-0.125f, Norm_Mirror_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            -0.375f, Norm_Mirror_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(
+            -0.625f, Norm_Mirror_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(
+            -0.875f, Norm_Mirror_Nearest_sampler); // {11,12,13,14}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels at low-boundary locations,  sample:   "
+                 "Normalized + Mirrored Repeat  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_boundary, offset);
+
+    std::cout << "read four pixels outside rightmost boundary,   sample: "
+                 "Normalized + Mirrored Repeat + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_right, offset);
+
+    std::cout << "read four pixels outside leftmost boundary,   sample: "
+                 "Normalized + Mirrored Repeat + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_left, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_normalized_mirrored_nearest_sampler(
+        image_channel_order::rgba, image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-none-linear-float.cpp b/sycl/test-e2e/Sampler/normalized-none-linear-float.cpp
new file mode 100644
index 0000000000000..205fbd906e0fb
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-none-linear-float.cpp
@@ -0,0 +1,156 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    NONE address_mode and LINEAR filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::float4;
+
+// Three pixels at inner boundary locations, sample: Normalized + None + Linear
+std::vector<pixelT> ref_in = {
+    {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+// Four pixels at exact center locations, sample: Normalized + None + Linear
+std::vector<pixelT> ref_center = {{0.2, 0.4, 0.6, 0.8},
+                                  {0.6, 0.4, 0.2, 0},
+                                  {0.2, 0.4, 0.6, 0.8},
+                                  {0.6, 0.4, 0.2, 0}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto none = addressing_mode::none;
+constexpr auto linear = filtering_mode::linear;
+
+void test_normalized_none_linear_sampler(image_channel_order ChanOrder,
+                                         image_channel_type ChanType) {
+  int numTests = 7; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_None_Linear_sampler = sampler(normalized, none, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-2 read three pixels at inner boundary locations,  sample:
+        // Normalized +  None  + Linear
+        test_acc[i++] = image_acc.read(
+            0.25f, Norm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.50f, Norm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.75f, Norm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+
+        // 3-6 read four pixels at exact center locations,  sample:   Normalized
+        // +  None  + Linear
+        test_acc[i++] = image_acc.read(
+            0.125f, Norm_None_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] =
+            image_acc.read(0.375f, Norm_None_Linear_sampler); // {0.6,0.4,0.2,0}
+        test_acc[i++] = image_acc.read(
+            0.625f, Norm_None_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] =
+            image_acc.read(0.875f, Norm_None_Linear_sampler); // {0.6,0.4,0.2,0}
+        // OCL:CPU returning inconsistent result, same thing happening for
+        // unnormalized-none-linear.  Temporarily skippin check (below) until
+        // fixed.
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read three pixels at inner boundary locations,  sample:  "
+                 " Normalized +  None  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_in, offset);
+
+    std::cout << "read four pixels at exact center locations,  sample:   "
+                 "Normalized +  None  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_center, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_normalized_none_linear_sampler(image_channel_order::rgba,
+                                        image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_normalized_none_linear_sampler(image_channel_order::rgba,
+                                        image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-none-nearest.cpp b/sycl/test-e2e/Sampler/normalized-none-nearest.cpp
new file mode 100644
index 0000000000000..ddefd4b8282c5
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-none-nearest.cpp
@@ -0,0 +1,163 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    NONE address_mode and NEAREST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Four pixels at low-boundary locations, sample: Normalized + None + Nearest
+std::vector<pixelT> ref_boundary = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Four pixels at exact center locations, sample : Normalized + None + Nearest
+std::vector<pixelT> ref_center = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// four pixels at inexact upper boundary, sample : Normalized + None + Nearest
+std::vector<pixelT> ref_upper = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto none = addressing_mode::none;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_normalized_none_nearest_sampler(image_channel_order ChanOrder,
+                                          image_channel_type ChanType) {
+  int numTests = 12; // drives the size of the testResults buffer, and the
+                     // number of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_None_Nearest_sampler = sampler(normalized, none, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_nearest>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-3 read four pixels at low-boundary locations,  sample:   Normalized
+        // +  None  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.00f, Norm_None_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(0.25f, Norm_None_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] =
+            image_acc.read(0.50f, Norm_None_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(0.75f, Norm_None_Nearest_sampler); // {11,12,13,14}
+
+        // 4-7 read four pixels at exact center locations,  sample:   Normalized
+        // +  None  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.125f, Norm_None_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(0.375f, Norm_None_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] =
+            image_acc.read(0.625f, Norm_None_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(0.875f, Norm_None_Nearest_sampler); // {11,12,13,14}
+
+        // 8-11 read four pixels at inexact upper boundary,  sample: Normalized
+        // +  None  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.24999f, Norm_None_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            0.49999f, Norm_None_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(
+            0.74999f, Norm_None_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(0.9999f, Norm_None_Nearest_sampler); // {11,12,13,14}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+
+    std::cout << "read four pixels at low-boundary locations,  sample:   "
+                 "Normalized +  None  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_boundary, offset);
+
+    std::cout << "read four pixels at exact center locations,  sample:   "
+                 "Normalized +  None  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_center, offset);
+
+    std::cout << "read four pixels at inexact upper boundary,  sample:   "
+                 "Normalized +  None  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_upper, offset);
+  }
+} // ~image / ~buffer
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_normalized_none_nearest_sampler(image_channel_order::rgba,
+                                         image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-repeat-linear-float.cpp b/sycl/test-e2e/Sampler/normalized-repeat-linear-float.cpp
new file mode 100644
index 0000000000000..c9f92a1632341
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-repeat-linear-float.cpp
@@ -0,0 +1,175 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    REPEAT address_mode and LINEAR filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using pixelT = sycl::float4;
+
+// Three pixels at inner boundary locations
+// sample: Normalized + Repeat + Linear
+std::vector<pixelT> ref_boundary = {
+    {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+// Four pixels above right bound, sample: Normalized + Repeat + Linear
+std::vector<pixelT> ref_right = {{0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4}};
+// Four pixels below left bound. sample: Normalized + Repeat + Linear
+std::vector<pixelT> ref_left = {{0.4, 0.4, 0.4, 0.4},
+                                {0.4, 0.4, 0.4, 0.4},
+                                {0.4, 0.4, 0.4, 0.4},
+                                {0.4, 0.4, 0.4, 0.4}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto repeat = addressing_mode::repeat;
+constexpr auto linear = filtering_mode::linear;
+
+void test_normalized_repeat_linear_sampler(image_channel_order ChanOrder,
+                                           image_channel_type ChanType) {
+  int numTests = 11; // drives the size of the testResults buffer, and the
+                     // number of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_Repeat_Linear_sampler = sampler(normalized, repeat, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-2 read three pixels at inner boundary locations,  sample:
+        // Normalized +  Repeat  + Linear
+        test_acc[i++] = image_acc.read(
+            0.25f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.50f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.75f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+
+        // 3-6 read four pixels above right bound,   sample: Normalized + Repeat
+        // + Linear
+        test_acc[i++] = image_acc.read(
+            1.0f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.25f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.5f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.75f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        // 7-10 read four pixels below left bound. sample: Normalized + Repeat +
+        // Linear
+        test_acc[i++] = image_acc.read(
+            -0.75f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            -0.5f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            -0.25f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            0.0f, Norm_Repeat_Linear_sampler); // {0.4,0.4,0.4,0.4}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+
+    std::cout << "read three pixels at inner boundary locations,  sample:  "
+                 " Normalized +  Repeat  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_boundary, offset);
+
+    std::cout << "read four pixels above right bound,   sample: Normalized "
+                 "+ Repeat + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_right, offset);
+
+    std::cout << "read four pixels below left bound. sample: Normalized + "
+                 "Repeat + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_left, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_normalized_repeat_linear_sampler(image_channel_order::rgba,
+                                          image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_normalized_repeat_linear_sampler(image_channel_order::rgba,
+                                          image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/normalized-repeat-nearest.cpp b/sycl/test-e2e/Sampler/normalized-repeat-nearest.cpp
new file mode 100644
index 0000000000000..528b54e3f9474
--- /dev/null
+++ b/sycl/test-e2e/Sampler/normalized-repeat-nearest.cpp
@@ -0,0 +1,166 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// CUDA is not handling repeat or mirror correctly with normalized coordinates.
+// Waiting on a fix.
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured NORMALIZED coordinate_normalization_mode
+    REPEAT address_mode and NEAREST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Four pixels at low-boundary locations, sample: Normalized + Repeat + Nearest
+std::vector<pixelT> ref_boundary = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Four pixels above right bound, sample: Normalized + Repeat + Nearest
+std::vector<pixelT> ref_right = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+// Four pixels below left bound. sample: Normalized + Repeat + Nearest
+std::vector<pixelT> ref_left = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto normalized = coordinate_normalization_mode::normalized;
+constexpr auto repeat = addressing_mode::repeat;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_normalized_repeat_nearest_sampler(image_channel_order ChanOrder,
+                                            image_channel_type ChanType) {
+  int numTests = 12; // drives the size of the testResults buffer, and the
+                     // number of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto Norm_Repeat_Nearest_sampler = sampler(normalized, repeat, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_norm_nearest>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // clang-format off
+        // Normalized Pixel Locations.  
+        //      .125        .375        .625        .875            <-- exact center
+        //  |-----^-----|-----^-----|-----^-----|-----^-----
+        //[0.0         .25         .50         .75          (1)     <-- low boundary (included in pixel)
+        //                                                              upper boundary inexact. (e.g. .2499999)
+        // clang-format on
+
+        // 0-3 read four pixels at low-boundary locations,  sample:   Normalized
+        // +  Repeat  + Nearest
+        test_acc[i++] =
+            image_acc.read(0.00f, Norm_Repeat_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(0.25f, Norm_Repeat_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] =
+            image_acc.read(0.50f, Norm_Repeat_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(0.75f, Norm_Repeat_Nearest_sampler); // {11,12,13,14}
+
+        // 4-7 read four pixels above right bound,   sample: Normalized + Repeat
+        // + Nearest
+        test_acc[i++] =
+            image_acc.read(1.125f, Norm_Repeat_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            1.375f, Norm_Repeat_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(
+            1.625f, Norm_Repeat_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(
+            1.875f, Norm_Repeat_Nearest_sampler); // {11,12,13,14}
+        // 8-11 read four pixels below left bound. sample: Normalized + Repeat +
+        // Nearest
+        test_acc[i++] =
+            image_acc.read(-0.875f, Norm_Repeat_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] = image_acc.read(
+            -0.625f, Norm_Repeat_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] = image_acc.read(
+            -0.375f, Norm_Repeat_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] = image_acc.read(
+            -0.125f, Norm_Repeat_Nearest_sampler); // {11,12,13,14}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+
+    std::cout << "read four pixels at low-boundary locations,  sample:   "
+                 "Normalized +  Repeat  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_boundary, offset);
+
+    std::cout << "read four pixels above right bound,   sample: Normalized "
+                 "+ Repeat + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_right, offset);
+
+    std::cout << "read four pixels below left bound. sample: Normalized + "
+                 "Repeat + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref_left, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_normalized_repeat_nearest_sampler(image_channel_order::rgba,
+                                           image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/unnormalized-clamp-linear-float.cpp b/sycl/test-e2e/Sampler/unnormalized-clamp-linear-float.cpp
new file mode 100644
index 0000000000000..17701b4395977
--- /dev/null
+++ b/sycl/test-e2e/Sampler/unnormalized-clamp-linear-float.cpp
@@ -0,0 +1,150 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured UNNORMALIZED coordinate_normalization_mode
+    CLAMP address_mode and LINEAR filter_mode
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::float4;
+
+// Six pixels, float coordinates, sample: NonNormalized + Clamp + Linear
+std::vector<pixelT> ref_pixel = {{0, 0, 0, 0},         {0.1, 0.2, 0.3, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4}, {0.3, 0.2, 0.1, 0}};
+// Two pixels on either side of 1. float coordinates.
+// sample: NonNormalized + Clamp + Linear
+std::vector<pixelT> ref_side = {{0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto unnormalized = coordinate_normalization_mode::unnormalized;
+constexpr auto linear = filtering_mode::linear;
+
+void test_unnormalized_clamp_linear_sampler(image_channel_order ChanOrder,
+                                            image_channel_type ChanType) {
+  int numTests = 8; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto UnNorm_Clamp_Linear_sampler =
+        sampler(unnormalized, addressing_mode::clamp, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // UnNormalized Pixel Locations when using Linear Interpolation
+        // (0 -------- ](1 ---------- ](2 ----------- ](3---------- ](4)
+
+        // 0-5 read six pixels, float coordinates,   sample:   NonNormalized +
+        // Clamp + Linear
+        test_acc[i++] =
+            image_acc.read(-1.0f, UnNorm_Clamp_Linear_sampler); // {0,0,0,0}
+        test_acc[i++] = image_acc.read(
+            0.0f, UnNorm_Clamp_Linear_sampler); // {0.1,0.2,0.3,0.4}
+        test_acc[i++] = image_acc.read(
+            1.0f, UnNorm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            2.0f, UnNorm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            3.0f, UnNorm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            4.0f,
+            UnNorm_Clamp_Linear_sampler); // {0.3,0.2,0.1,0}  // interpolated?
+
+        // 6-7 read two pixels on either side of first pixel. float coordinates.
+        test_acc[i++] = image_acc.read(
+            0.9999999f, UnNorm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.0000001f, UnNorm_Clamp_Linear_sampler); // {0.4,0.4,0.4,0.4}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+
+    std::cout << "read six pixels, float coordinates,   sample:   "
+                 "NonNormalized + Clamp + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_pixel, offset);
+
+    std::cout << "read two pixels on either side of 1. float coordinates. "
+                 "NonNormalized + Clamp + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_side, offset);
+
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_unnormalized_clamp_linear_sampler(image_channel_order::rgba,
+                                           image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_unnormalized_clamp_linear_sampler(image_channel_order::rgba,
+                                           image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/unnormalized-clamp-nearest.cpp b/sycl/test-e2e/Sampler/unnormalized-clamp-nearest.cpp
new file mode 100644
index 0000000000000..cb8821fb15bc4
--- /dev/null
+++ b/sycl/test-e2e/Sampler/unnormalized-clamp-nearest.cpp
@@ -0,0 +1,119 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured UNNORMALIZED coordinate_normalization_mode
+    CLAMP address_mode and NEAREAST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Six pixels, sampler: UnNormalized + Clamp + Nearest
+std::vector<pixelT> ref = {{0, 0, 0, 0},     {1, 2, 3, 4},     {49, 48, 47, 46},
+                           {59, 58, 57, 56}, {11, 12, 13, 14}, {0, 0, 0, 0}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto unnormalized = coordinate_normalization_mode::unnormalized;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_unnormalized_clamp_nearest_sampler(image_channel_order ChanOrder,
+                                             image_channel_type ChanType) {
+  int numTests = 6; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto UnNorm_Clamp_Nearest_sampler =
+        sampler(unnormalized, addressing_mode::clamp, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // 0-5 read six pixels,   sampler:   UnNormalized + Clamp + Nearest
+        test_acc[i++] =
+            image_acc.read(-1, UnNorm_Clamp_Nearest_sampler); // {0,0,0,0}
+        test_acc[i++] =
+            image_acc.read(0, UnNorm_Clamp_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(1, UnNorm_Clamp_Nearest_sampler); // {5,6,7,8}
+        test_acc[i++] =
+            image_acc.read(2, UnNorm_Clamp_Nearest_sampler); // {5,6,7,8}
+        test_acc[i++] =
+            image_acc.read(3, UnNorm_Clamp_Nearest_sampler); // {9,10,11,12}
+        test_acc[i++] =
+            image_acc.read(4, UnNorm_Clamp_Nearest_sampler); // {0,0,0,0}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read six pixels,   sampler:   UnNormalized + Clamp + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_unnormalized_clamp_nearest_sampler(image_channel_order::rgba,
+                                            image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/unnormalized-clampedge-linear-float.cpp b/sycl/test-e2e/Sampler/unnormalized-clampedge-linear-float.cpp
new file mode 100644
index 0000000000000..92e24804d9a78
--- /dev/null
+++ b/sycl/test-e2e/Sampler/unnormalized-clampedge-linear-float.cpp
@@ -0,0 +1,151 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured UNNORMALIZED coordinate_normalization_mode
+    CLAMPEDGE address_mode and LINEAR filter_mode
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using pixelT = sycl::float4;
+
+// Six pixels, float coordinates, sample: NonNormalized + ClampEDGE + Linear
+std::vector<pixelT> ref_pixel = {{0.2, 0.4, 0.6, 0.8}, {0.2, 0.4, 0.6, 0.8},
+                                 {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4}, {0.6, 0.4, 0.2, 0}};
+// Two pixels on either side of 1. float coordinates.ClampEDGE
+std::vector<pixelT> ref_side = {{0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto unnormalized = coordinate_normalization_mode::unnormalized;
+constexpr auto clamp_edge = addressing_mode::clamp_to_edge;
+constexpr auto linear = filtering_mode::linear;
+
+void test_unnormalized_clampedge_linear_sampler(image_channel_order ChanOrder,
+                                                image_channel_type ChanType) {
+  int numTests = 8; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto UnNorm_ClampEdge_Linear_sampler =
+        sampler(unnormalized, clamp_edge, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // UnNormalized Pixel Locations when using Linear Interpolation
+        // (0 -------- ](1 ---------- ](2 ----------- ](3---------- ](4)
+
+        // 0-5 read six pixels, float coordinates,   sample:   NonNormalized +
+        // ClampEDGE + Linear
+        test_acc[i++] = image_acc.read(
+            -1.0f, UnNorm_ClampEdge_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(
+            0.0f, UnNorm_ClampEdge_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(
+            1.0f,
+            UnNorm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+                                              // //interpolated
+        test_acc[i++] = image_acc.read(
+            2.0f, UnNorm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            3.0f, UnNorm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            4.0f, UnNorm_ClampEdge_Linear_sampler); // {0.6,0.4,0.2,0}
+
+        // 6-7 read two pixels on either side of 1. float coordinates. ClampEDGE
+        //  ClampEDGE correctly interpolates
+        test_acc[i++] = image_acc.read(
+            0.9999999f, UnNorm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.0000001f, UnNorm_ClampEdge_Linear_sampler); // {0.4,0.4,0.4,0.4}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+
+    std::cout << "read six pixels, float coordinates,   sample:   "
+                 "NonNormalized + ClampEDGE + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_pixel, offset);
+
+    std::cout << "read two pixels on either side of 1. float coordinates. "
+                 "ClampEDGE"
+              << std::endl;
+    check_pixels(test_acc, ref_pixel, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_unnormalized_clampedge_linear_sampler(image_channel_order::rgba,
+                                               image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_unnormalized_clampedge_linear_sampler(image_channel_order::rgba,
+                                               image_channel_type::unorm_int8);
+
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/unnormalized-clampedge-nearest.cpp b/sycl/test-e2e/Sampler/unnormalized-clampedge-nearest.cpp
new file mode 100644
index 0000000000000..e06e90f1023d0
--- /dev/null
+++ b/sycl/test-e2e/Sampler/unnormalized-clampedge-nearest.cpp
@@ -0,0 +1,122 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured UNNORMALIZED coordinate_normalization_mode
+    CLAMPEDGE address_mode and NEAREAST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Six pixels, sampler: UnNormalized + ClampEdge + Nearest
+std::vector<pixelT> ref = {{1, 2, 3, 4},     {1, 2, 3, 4},
+                           {49, 48, 47, 46}, {59, 58, 57, 56},
+                           {11, 12, 13, 14}, {11, 12, 13, 14}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto unnormalized = coordinate_normalization_mode::unnormalized;
+constexpr auto clamp_edge = addressing_mode::clamp_to_edge;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_unnormalized_clampedge_nearest_sampler(image_channel_order ChanOrder,
+                                                 image_channel_type ChanType) {
+  int numTests = 6; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto UnNorm_ClampEdge_Nearest_sampler =
+        sampler(unnormalized, clamp_edge, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // 0-5 read six pixels,   sampler:   UnNormalized + ClampEdge + Nearest
+        test_acc[i++] =
+            image_acc.read(-1, UnNorm_ClampEdge_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(0, UnNorm_ClampEdge_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(1, UnNorm_ClampEdge_Nearest_sampler); // {5,6,7,8}
+        test_acc[i++] =
+            image_acc.read(2, UnNorm_ClampEdge_Nearest_sampler); // {5,6,7,8}
+        test_acc[i++] =
+            image_acc.read(3, UnNorm_ClampEdge_Nearest_sampler); // {9,10,11,12}
+        test_acc[i++] =
+            image_acc.read(4, UnNorm_ClampEdge_Nearest_sampler); // {9,10,11,12}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read six pixels,   sampler:   UnNormalized + ClampEdge + "
+                 "Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_unnormalized_clampedge_nearest_sampler(
+        image_channel_order::rgba, image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/unnormalized-none-linear-float.cpp b/sycl/test-e2e/Sampler/unnormalized-none-linear-float.cpp
new file mode 100644
index 0000000000000..7388eb11f3764
--- /dev/null
+++ b/sycl/test-e2e/Sampler/unnormalized-none-linear-float.cpp
@@ -0,0 +1,195 @@
+// UNSUPPORTED: hip, cuda
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// CUDA works with image_channel_type::fp32, but not with any 8-bit per channel
+// type (such as unorm_int8)
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured UNNORMALIZED coordinate_normalization_mode
+    NONE address_mode and LINEAR filter_mode
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+using pixelT = sycl::float4;
+
+// Four pixels. no sampler
+std::vector<pixelT> ref_pixel = {{0.2, 0.4, 0.6, 0.8},
+                                 {0.6, 0.4, 0.2, 0},
+                                 {0.2, 0.4, 0.6, 0.8},
+                                 {0.6, 0.4, 0.2, 0}};
+// Three pixels at inner boundary locations, float coordinates
+// sample: UnNormalized + None + Linear
+std::vector<pixelT> ref_inner = {
+    {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}, {0.4, 0.4, 0.4, 0.4}};
+// Four pixels at exact center locations, float
+// sample: Unnormalized + None + Linear
+std::vector<pixelT> ref_center = {{0.2, 0.4, 0.6, 0.8},
+                                  {0.6, 0.4, 0.2, 0},
+                                  {0.2, 0.4, 0.6, 0.8},
+                                  {0.6, 0.4, 0.2, 0}};
+// Four pixels at inexact upper boundary, float coord
+// sample: Unnormalized + None + Linear
+std::vector<pixelT> ref_upper = {{0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4},
+                                 {0.4, 0.4, 0.4, 0.4},
+                                 {0.3, 0.2, 0.1, 0}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto unnormalized = coordinate_normalization_mode::unnormalized;
+constexpr auto none = addressing_mode::none;
+constexpr auto linear = filtering_mode::linear;
+
+void test_unnormalized_none_linear_sampler(image_channel_order ChanOrder,
+                                           image_channel_type ChanType) {
+  int numTests = 15; // drives the size of the testResults buffer, and the
+                     // number of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  // These values will work consistently with different levels of float
+  // precision (like unorm_int8 vs. fp32)
+  pixelT leftEdge{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT body{0.6f, 0.4f, 0.2f, 0.0f};
+  pixelT bony{0.2f, 0.4f, 0.6f, 0.8f};
+  pixelT rightEdge{0.6f, 0.4f, 0.2f, 0.0f};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto UnNorm_None_Linear_sampler = sampler(unnormalized, none, linear);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // UnNormalized Pixel Locations when using Linear Interpolation
+        // (0 -------- ](1 ---------- ](2 ----------- ](3---------- ](4)
+
+        // verify our four pixels were set up correctly.
+        // 0-3 read four pixels. no sampler
+        // depending on device, and 8 vs 16 bit, answers here may vary slightly.
+        test_acc[i++] = image_acc.read(0); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(1); // {0.6,0.4,0.2,0}
+        test_acc[i++] = image_acc.read(2); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(3); // {0.6,0.4,0.2,0}
+
+        // 4-6 read three pixels at inner boundary locations, float coordinates,
+        // sample:   UnNormalized +  None  + Linear
+        test_acc[i++] = image_acc.read(
+            1.0f, UnNorm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            2.0f, UnNorm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            3.0f, UnNorm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+
+        // 7-10 read four pixels at exact center locations, float,  sample:
+        // Unnormalized +  None  + Linear
+        test_acc[i++] = image_acc.read(
+            0.5f, UnNorm_None_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] =
+            image_acc.read(1.5f, UnNorm_None_Linear_sampler); // {0.6,0.4,0.2,0}
+        test_acc[i++] = image_acc.read(
+            2.5f, UnNorm_None_Linear_sampler); // {0.2,0.4,0.6,0.8}
+        test_acc[i++] = image_acc.read(
+            3.4999998f,
+            UnNorm_None_Linear_sampler); // {0.6,0.4,0.2,0}   coordinate of 3.5
+                                         // should work, but results
+                                         // inconsistent. under investigation.
+
+        // 11-14 read four pixels at inexact upper boundary, float coord,
+        // sample: Unnormalized +  None  + Linear
+        test_acc[i++] = image_acc.read(
+            0.9999999f, UnNorm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            1.9999999f, UnNorm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            2.9999999f, UnNorm_None_Linear_sampler); // {0.4,0.4,0.4,0.4}
+        test_acc[i++] = image_acc.read(
+            3.9999999f,
+            UnNorm_None_Linear_sampler); // {0.3,0.2,0.1,0}  // <<--- should it
+                                         // be interpolating with the bg color?
+                                         // That doesn't seem right. But it is
+                                         // what it is. No longer verifying
+                                         // this value in FILECHECK, pending
+                                         // further investigation.
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels. no sampler" << std::endl;
+    check_pixels(test_acc, ref_pixel, offset);
+
+    std::cout << "read three pixels at inner boundary locations, float "
+                 "coordinates,  sample:   UnNormalized +  None  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_inner, offset);
+
+    std::cout << "read four pixels at exact center locations, float,  "
+                 "sample:   Unnormalized +  None  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_center, offset);
+
+    std::cout << "read four pixels at inexact upper boundary, float coord, "
+                 " sample:   Unnormalized +  None  + Linear"
+              << std::endl;
+    check_pixels(test_acc, ref_center, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+
+    std::cout << "fp32 -------------" << std::endl;
+    test_unnormalized_none_linear_sampler(image_channel_order::rgba,
+                                          image_channel_type::fp32);
+
+    std::cout << "unorm_int8 -------" << std::endl;
+    test_unnormalized_none_linear_sampler(image_channel_order::rgba,
+                                          image_channel_type::unorm_int8);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Sampler/unnormalized-none-nearest.cpp b/sycl/test-e2e/Sampler/unnormalized-none-nearest.cpp
new file mode 100644
index 0000000000000..b635032fff95a
--- /dev/null
+++ b/sycl/test-e2e/Sampler/unnormalized-none-nearest.cpp
@@ -0,0 +1,115 @@
+// UNSUPPORTED: hip
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+/*
+    This file sets up an image, initializes it with data,
+    and verifies that the data is sampled correctly with a
+    sampler configured UNNORMALIZED coordinate_normalization_mode
+    NONE address_mode and NEAREST filter_mode
+
+*/
+
+#include "common.hpp"
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// pixel data-type for RGBA operations (which is the minimum image type)
+using pixelT = sycl::uint4;
+
+// Four pixels, sample: NonNormalized + None + Nearest
+std::vector<pixelT> ref = {
+    {1, 2, 3, 4}, {49, 48, 47, 46}, {59, 58, 57, 56}, {11, 12, 13, 14}};
+
+// 4 pixels on a side. 1D at the moment
+constexpr long width = 4;
+
+constexpr auto unnormalized = coordinate_normalization_mode::unnormalized;
+constexpr auto none = addressing_mode::none;
+constexpr auto nearest = filtering_mode::nearest;
+
+void test_unnormalized_none_nearest_sampler(image_channel_order ChanOrder,
+                                            image_channel_type ChanType) {
+  int numTests = 4; // drives the size of the testResults buffer, and the number
+                    // of report iterations. Kludge.
+
+  // we'll use these four pixels for our image. Makes it easy to measure
+  // interpolation and spot "off-by-one" probs.
+  pixelT leftEdge{1, 2, 3, 4};
+  pixelT body{49, 48, 47, 46};
+  pixelT bony{59, 58, 57, 56};
+  pixelT rightEdge{11, 12, 13, 14};
+
+  queue Q;
+  const sycl::range<1> ImgRange_1D(width);
+  { // closure
+    // - create an image
+    image<1> image_1D(ChanOrder, ChanType, ImgRange_1D);
+    event E_Setup = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::write>(cgh);
+      cgh.single_task<class setupUnormLinear>([=]() {
+        image_acc.write(0, leftEdge);
+        image_acc.write(1, body);
+        image_acc.write(2, bony);
+        image_acc.write(3, rightEdge);
+      });
+    });
+    E_Setup.wait();
+
+    // use a buffer to report back test results.
+    buffer<pixelT, 1> testResults((range<1>(numTests)));
+
+    // sampler
+    auto UnNorm_None_Nearest_sampler = sampler(unnormalized, none, nearest);
+
+    event E_Test = Q.submit([&](handler &cgh) {
+      auto image_acc = image_1D.get_access<pixelT, access::mode::read>(cgh);
+      auto test_acc = testResults.get_access<access::mode::write>(cgh);
+
+      cgh.single_task<class im1D_Unorm_Linear>([=]() {
+        int i = 0; // the index for writing into the testResult buffer.
+
+        // 0-3  read four pixels,  sample:   NonNormalized +  None  + Nearest
+        test_acc[i++] =
+            image_acc.read(0, UnNorm_None_Nearest_sampler); // {1,2,3,4}
+        test_acc[i++] =
+            image_acc.read(1, UnNorm_None_Nearest_sampler); // {49,48,47,46}
+        test_acc[i++] =
+            image_acc.read(2, UnNorm_None_Nearest_sampler); // {59,58,57,56}
+        test_acc[i++] =
+            image_acc.read(3, UnNorm_None_Nearest_sampler); // {11,12,13,14}
+      });
+    });
+    E_Test.wait();
+
+    // REPORT RESULTS
+    size_t offset = 0;
+    auto test_acc = testResults.get_access<access::mode::read>();
+    std::cout << "read four pixels,  sample:   NonNormalized +  None  + Nearest"
+              << std::endl;
+    check_pixels(test_acc, ref, offset);
+  } // ~image / ~buffer
+}
+
+int main() {
+
+  queue Q;
+  device D = Q.get_device();
+
+  if (D.has(aspect::image)) {
+    // the _int8 channels are one byte per channel, or four bytes per pixel (for
+    // RGBA) the _int16/fp16 channels are two bytes per channel, or eight bytes
+    // per pixel (for RGBA) the _int32/fp32  channels are four bytes per
+    // channel, or sixteen bytes per pixel (for RGBA).
+    // CUDA has limited support for image_channel_type, so the tests use
+    // unsigned_int32
+    test_unnormalized_none_nearest_sampler(image_channel_order::rgba,
+                                           image_channel_type::unsigned_int32);
+  } else {
+    std::cout << "device does not support image operations" << std::endl;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Scheduler/BasicSchedulerTests.cpp b/sycl/test-e2e/Scheduler/BasicSchedulerTests.cpp
new file mode 100644
index 0000000000000..fdcb2c515ef48
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/BasicSchedulerTests.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==------------------- BasicSchedulerTests.cpp ----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using sycl_access_mode = sycl::access::mode;
+
+// Execute functor provided passing a queue created with default device selector
+// and async handler then waits for the tasks submitted to queue to finish. If
+// async exceptions are caught prints them and throw exception signaling about
+// it.
+template <class TestFuncT> void runTest(TestFuncT TestFunc) {
+  bool AsyncException = false;
+
+  sycl::queue Queue([&AsyncException](sycl::exception_list ExceptionList) {
+    AsyncException = true;
+    for (std::exception_ptr ExceptionPtr : ExceptionList) {
+      try {
+        std::rethrow_exception(ExceptionPtr);
+      } catch (sycl::exception &E) {
+        std::cerr << E.what();
+      } catch (...) {
+        std::cerr << "Unknown async exception was caught." << std::endl;
+      }
+    }
+  });
+
+  TestFunc(Queue);
+
+  Queue.wait_and_throw();
+
+  if (AsyncException)
+    throw "Async exception caught";
+}
+
+int main() {
+  bool Failed = false;
+
+  // Checks creating of the second host accessor while first one is alive.
+  try {
+    sycl::range<1> BufSize{1};
+    sycl::buffer<int, 1> Buf1(BufSize);
+    sycl::buffer<int, 1> Buf2(BufSize);
+
+    runTest([&](sycl::queue Queue) {
+      Queue.submit([&](sycl::handler &CGH) {
+        auto Buf1Acc = Buf1.get_access<sycl_access_mode::read_write>(CGH);
+        auto Buf2Acc = Buf2.get_access<sycl_access_mode::read_write>(CGH);
+        CGH.parallel_for<class init_a>(
+            BufSize, [=](sycl::id<1> Id) { Buf1Acc[Id] = Buf2Acc[Id]; });
+      });
+
+      auto Buf1HostAcc = Buf1.get_access<sycl_access_mode::read>();
+      auto Buf2HostAcc = Buf2.get_access<sycl_access_mode::read>();
+    });
+
+  } catch (...) {
+    std::cerr << "Two host accessors test failed." << std::endl;
+    Failed = true;
+  }
+
+  return Failed;
+}
diff --git a/sycl/test-e2e/Scheduler/CommandCleanupThreadSafety.cpp b/sycl/test-e2e/Scheduler/CommandCleanupThreadSafety.cpp
new file mode 100644
index 0000000000000..459578111155f
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/CommandCleanupThreadSafety.cpp
@@ -0,0 +1,43 @@
+// UNSUPPORTED: windows
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out -lpthread
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cstddef>
+#include <thread>
+#include <vector>
+
+// This test checks that the command graph cleanup works properly when
+// invoked from multiple threads.
+using namespace sycl;
+
+class Foo;
+
+event submitTask(queue &Q, buffer<int, 1> &Buf) {
+  return Q.submit([&](handler &Cgh) {
+    auto Acc = Buf.get_access<access::mode::read_write>(Cgh);
+    Cgh.single_task<Foo>([=]() { Acc[0] = 42; });
+  });
+}
+
+int main() {
+  queue Q;
+  buffer<int, 1> Buf(range<1>(1));
+
+  // Create multiple commands, each one dependent on the previous
+  std::vector<event> Events;
+  const std::size_t NTasks = 16;
+  for (std::size_t I = 0; I < NTasks; ++I)
+    Events.push_back(submitTask(Q, Buf));
+
+  // Initiate cleanup from multiple threads
+  std::vector<std::thread> Threads;
+  for (event &E : Events)
+    Threads.emplace_back([&]() { E.wait(); });
+  for (std::thread &T : Threads)
+    T.join();
+}
diff --git a/sycl/test-e2e/Scheduler/DataMovement.cpp b/sycl/test-e2e/Scheduler/DataMovement.cpp
new file mode 100644
index 0000000000000..abf533357173e
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/DataMovement.cpp
@@ -0,0 +1,85 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out %debug_option
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+//==-------------------------- DataMovement.cpp ----------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// The test checks that no additional host allocation is performed by the SYCL
+// RT if host ptr is used
+
+#include <sycl/sycl.hpp>
+
+#include <vector>
+
+#include "../helpers.hpp"
+
+using sycl_access_mode = sycl::access::mode;
+
+template <typename T> class CustomAllocator {
+public:
+  using value_type = T;
+  using pointer = T *;
+  using const_pointer = const T *;
+  using reference = T &;
+  using const_reference = const T &;
+
+public:
+  template <typename U> struct rebind { typedef CustomAllocator<U> other; };
+
+  void construct(pointer Ptr, const_reference Val) {
+    new (Ptr) value_type(Val);
+  }
+
+  void destroy(pointer Ptr) {}
+
+  pointer address(reference Val) const { return &Val; }
+  const_pointer address(const_reference Val) { return &Val; }
+
+  pointer allocate(size_t Size) {
+    throw std::runtime_error("Attempt to make host allocation for the buffer!");
+  }
+
+  // Release allocated memory
+  void deallocate(pointer Ptr, size_t size) {
+    throw std::runtime_error("Attempt to dealocate user's memory!");
+  }
+
+  bool operator==(const CustomAllocator &) { return true; }
+  bool operator!=(const CustomAllocator &rhs) { return false; }
+};
+
+int main() {
+  TestQueue Queue1(sycl::default_selector_v);
+  TestQueue Queue2(sycl::default_selector_v);
+
+  std::vector<int> Data(1);
+
+  sycl::buffer<int, 1, CustomAllocator<int>> Buf(
+      Data.data(), Data.size(), {sycl::property::buffer::use_host_ptr()});
+
+  Queue1.submit([&](sycl::handler &CGH) {
+    auto BufAcc = Buf.get_access<sycl_access_mode::read_write>(CGH);
+    CGH.single_task<class first_kernel>([=]() { BufAcc[0] = 41; });
+  });
+
+  Queue1.wait_and_throw();
+
+  { auto HostAcc = Buf.get_access<sycl_access_mode::read>(); }
+
+  Queue2.submit([&](sycl::handler &CGH) {
+    auto BufAcc = Buf.get_access<sycl_access_mode::read_write>(CGH);
+    CGH.single_task<class second_kernel>([=]() { BufAcc[0] = 42; });
+  });
+
+  Queue2.wait_and_throw();
+
+  { auto HostAcc = Buf.get_access<sycl_access_mode::read>(); }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Scheduler/HandleException.cpp b/sycl/test-e2e/Scheduler/HandleException.cpp
new file mode 100644
index 0000000000000..b7c83427ff9f1
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/HandleException.cpp
@@ -0,0 +1,55 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// Expected exception is generated for OpenCL backend only.
+// REQUIRES: opencl
+#include <array>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+constexpr access::mode sycl_read = access::mode::read;
+constexpr access::mode sycl_write = access::mode::write;
+
+constexpr unsigned MAX_WG_SIZE = 4;
+constexpr unsigned SIZE = 8;
+using ArrayType = std::array<unsigned, SIZE>;
+
+class kernelCompute;
+
+// Return 'true' if an exception was thrown.
+bool run_kernel(const unsigned wg_size) {
+  ArrayType index;
+  const unsigned N = index.size();
+  {
+    buffer<cl_uint, 1> bufferIdx(index.data(), N);
+    queue deviceQueue;
+    try {
+      deviceQueue.submit([&](handler &cgh) {
+        auto accessorIdx = bufferIdx.get_access<sycl_read>(cgh);
+        cgh.parallel_for<class kernelCompute>(
+            nd_range<1>(range<1>(N), range<1>(wg_size)), [=
+        ](nd_item<1> ID) [[cl::reqd_work_group_size(1, 1, MAX_WG_SIZE)]] {
+              (void)accessorIdx[ID.get_global_id(0)];
+            });
+      });
+    } catch (nd_range_error &err) {
+      return true;
+    } catch (...) {
+      assert(!"Unknown exception was thrown");
+    }
+  }
+  return false;
+}
+
+int main() {
+  bool success_exception = run_kernel(MAX_WG_SIZE);
+  assert(!success_exception &&
+         "Unexpected exception was thrown for success call");
+  bool fail_exception = run_kernel(SIZE);
+  assert(fail_exception && "No exception was thrown");
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Scheduler/HostAccDestruction.cpp b/sycl/test-e2e/Scheduler/HostAccDestruction.cpp
new file mode 100644
index 0000000000000..9feb742dc6751
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/HostAccDestruction.cpp
@@ -0,0 +1,38 @@
+// RUN: %clangxx -fsycl -fsycl-dead-args-optimization -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+// UNSUPPORTED: hip
+//==---------------------- HostAccDestruction.cpp --------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  size_t size = 3;
+
+  sycl::buffer<int, 1> buf(size);
+  {
+    sycl::queue q;
+    auto host_acc = buf.get_access<sycl::access::mode::read_write>();
+    q.submit([&](sycl::handler &cgh) {
+      auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.parallel_for<class SingleTask>(
+          sycl::range<1>{size}, [=](sycl::id<1> id) { (void)acc[id]; });
+    });
+    std::cout << "host acc destructor call" << std::endl;
+  }
+  std::cout << "end of scope" << std::endl;
+
+  return 0;
+}
+
+// CHECK:host acc destructor call
+// CHECK:---> piEnqueueKernelLaunch(
+// CHECK:end of scope
diff --git a/sycl/test-e2e/Scheduler/InOrderQueueDeps.cpp b/sycl/test-e2e/Scheduler/InOrderQueueDeps.cpp
new file mode 100644
index 0000000000000..de8047f32498f
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/InOrderQueueDeps.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+
+// The tested functionality is disabled with Level Zero until it is supported by
+// the plugin.
+// UNSUPPORTED: level_zero
+//==----------------------- InOrderQueueDeps.cpp ---------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+class KernelA;
+
+void submitKernel(sycl::queue &Queue, sycl::buffer<int, 1> &Buf) {
+  Queue.submit([&](sycl::handler &Cgh) {
+    auto BufAcc = Buf.get_access<sycl::access::mode::read_write>(Cgh);
+    Cgh.single_task<KernelA>([=]() { (void)BufAcc[0]; });
+  });
+}
+
+int main() {
+  int val;
+  sycl::buffer<int, 1> Buf{&val, sycl::range<1>(1)};
+
+  sycl::default_selector DeviceSelector;
+  sycl::device Dev = DeviceSelector.select_device();
+  sycl::context Ctx{Dev};
+
+  sycl::queue InOrderQueueA{Ctx, Dev, sycl::property::queue::in_order()};
+  sycl::queue InOrderQueueB{Ctx, Dev, sycl::property::queue::in_order()};
+
+  // Sequential submissions to the same in-order queue should not result in any
+  // event dependencies.
+  // CHECK: piEnqueueKernelLaunch
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: : 0
+  submitKernel(InOrderQueueA, Buf);
+  // CHECK: piEnqueueKernelLaunch
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: : 0
+  submitKernel(InOrderQueueA, Buf);
+  // Submisssion to a different in-order queue should explicitly depend on the
+  // previous command group.
+  // CHECK: piEnqueueKernelLaunch
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: :
+  // CHECK-NEXT: : 1
+  submitKernel(InOrderQueueB, Buf);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/Scheduler/MemObjRemapping.cpp b/sycl/test-e2e/Scheduler/MemObjRemapping.cpp
new file mode 100644
index 0000000000000..b49e7f9372e6f
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/MemObjRemapping.cpp
@@ -0,0 +1,59 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_HOST_UNIFIED_MEMORY=1 SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_HOST_UNIFIED_MEMORY=1 SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+#include <cassert>
+#include <cstddef>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class Foo;
+class Bar;
+
+// This test checks that memory objects are remapped on requesting an access
+// mode incompatible with the current mapping. Write access is mapped as
+// read-write.
+int main() {
+  queue Q;
+
+  std::size_t Size = 64;
+  range<1> Range{Size};
+  buffer<int, 1> BufA{Range};
+
+  Q.submit([&](handler &Cgh) {
+    auto AccA = BufA.get_access<access::mode::read_write>(Cgh);
+    Cgh.parallel_for<Foo>(Range, [=](id<1> Idx) { AccA[Idx] = Idx[0]; });
+  });
+
+  {
+    // Check access mode flags
+    // CHECK: piEnqueueMemBufferMap
+    // CHECK-NEXT: :
+    // CHECK-NEXT: :
+    // CHECK-NEXT: :
+    // CHECK-NEXT: : 1
+    auto AccA = BufA.get_access<access::mode::read>();
+    for (std::size_t I = 0; I < Size; ++I) {
+      assert(AccA[I] == I);
+    }
+  }
+  {
+    // CHECK: piEnqueueMemUnmap
+    // CHECK: piEnqueueMemBufferMap
+    // CHECK-NEXT: :
+    // CHECK-NEXT: :
+    // CHECK-NEXT: :
+    // CHECK-NEXT: : 3
+    auto AccA = BufA.get_access<access::mode::write>();
+    for (std::size_t I = 0; I < Size; ++I)
+      AccA[I] = 2 * I;
+  }
+
+  // CHECK-NOT: piEnqueueMemBufferMap
+  auto AccA = BufA.get_access<access::mode::read>();
+  for (std::size_t I = 0; I < Size; ++I) {
+    assert(AccA[I] == 2 * I);
+  }
+}
diff --git a/sycl/test-e2e/Scheduler/MultipleDevices.cpp b/sycl/test-e2e/Scheduler/MultipleDevices.cpp
new file mode 100644
index 0000000000000..cfdf67a0bd5a9
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/MultipleDevices.cpp
@@ -0,0 +1,129 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="%sycl_be:*" %t.out
+//
+// XFAIL: hip_nvidia
+
+//===- MultipleDevices.cpp - Test checking multi-device execution --------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+int multidevice_test(queue MyQueue1, queue MyQueue2) {
+  const size_t N = 100;
+
+  buffer<int, 1> BufA(range<1>{N});
+  buffer<int, 1> BufB(range<1>{N});
+  buffer<int, 1> BufC(range<1>{N});
+  buffer<int, 1> BufD(range<1>{N});
+
+  MyQueue1.submit([&](handler &cgh) {
+    auto A = BufA.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class init_a>(
+        range<1>{N}, [=](id<1> index) { A[index[0]] = index[0]; });
+  });
+
+  MyQueue2.submit([&](handler &cgh) {
+    auto B = BufB.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class init_b>(
+        range<1>{N}, [=](id<1> index) { B[index[0]] = N - index[0]; });
+  });
+
+  MyQueue2.submit([&](handler &cgh) {
+    auto A = BufA.get_access<access::mode::read>(cgh);
+    auto B = BufB.get_access<access::mode::read_write>(cgh);
+    auto C = BufC.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class op1>(range<1>{N}, [=](id<1> index) {
+      B[index[0]] = B[index[0]] + A[index[0]];
+      C[index[0]] = B[index[0]] - index[0];
+    });
+  });
+
+  MyQueue2.submit([&](handler &cgh) {
+    auto D = BufD.get_access<access::mode::write>(cgh);
+    cgh.parallel_for<class init_d>(range<1>{N},
+                                   [=](id<1> index) { D[index[0]] = 1; });
+  });
+
+  MyQueue1.submit([&](handler &cgh) {
+    auto B = BufB.get_access<access::mode::read>(cgh);
+    auto C = BufC.get_access<access::mode::read>(cgh);
+    auto D = BufD.get_access<access::mode::read_write>(cgh);
+    cgh.parallel_for<class op2>(range<1>{N}, [=](id<1> index) {
+      D[index[0]] = D[index[0]] + B[index[0]] - C[index[0]];
+    });
+  });
+
+  auto FinalD = BufD.get_access<access::mode::read>();
+  std::cout << "Result:" << std::endl;
+  for (size_t i = 0; i < N; i++) {
+
+    // A[index[0]] = index[0];
+    int A = i;
+    // B[index[0]] = N - index[0];
+    int B = N - i;
+    // B[index[0]] = B[index[0]] + A[index[0]];
+    B = B + A;
+    // C[index[0]] = B[index[0]] - index[0];
+    int C = B - i;
+    // D[index[0]] = 1;
+    int D = 1;
+    // D[index[0]] = D[index[0]] + B[index[0]] - C[index[0]];
+    D = D + B - C;
+
+    int Expected = D;
+
+    if (FinalD[i] != D) {
+      std::cout << "Wrong value for element " << i << " Expected: " << Expected
+                << " Got: " << FinalD[i] << std::endl;
+      return -1;
+    }
+  }
+
+  std::cout << "Good computation!" << std::endl;
+  return 0;
+}
+
+int main() {
+  cpu_selector CPUSelector;
+  gpu_selector GPUSelector;
+
+  int Result = -1;
+  try {
+    queue MyQueue1(CPUSelector);
+    queue MyQueue2(CPUSelector);
+    Result &= multidevice_test(MyQueue1, MyQueue2);
+  } catch (sycl::runtime_error &) {
+    std::cout << "Skipping CPU and CPU" << std::endl;
+  }
+
+  try {
+    queue MyQueue1(CPUSelector);
+    queue MyQueue2(GPUSelector);
+    Result &= multidevice_test(MyQueue1, MyQueue2);
+  } catch (sycl::runtime_error &) {
+    std::cout << "Skipping CPU and GPU" << std::endl;
+  } catch (sycl::compile_program_error &) {
+    std::cout << "Skipping CPU and GPU" << std::endl;
+  }
+
+  try {
+    queue MyQueue1(GPUSelector);
+    queue MyQueue2(GPUSelector);
+    Result &= multidevice_test(MyQueue1, MyQueue2);
+  } catch (sycl::runtime_error &) {
+    std::cout << "Skipping GPU and GPU" << std::endl;
+  } catch (sycl::compile_program_error &) {
+    std::cout << "Skipping CPU and GPU" << std::endl;
+  }
+
+  return Result;
+}
diff --git a/sycl/test-e2e/Scheduler/ReleaseResourcesTest.cpp b/sycl/test-e2e/Scheduler/ReleaseResourcesTest.cpp
new file mode 100644
index 0000000000000..0f4bb4de46a56
--- /dev/null
+++ b/sycl/test-e2e/Scheduler/ReleaseResourcesTest.cpp
@@ -0,0 +1,57 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-dead-args-optimization %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out 2>&1 %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out 2>&1 %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out 2>&1 %ACC_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+
+//==------------------- ReleaseResourcesTests.cpp --------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include "../helpers.hpp"
+
+using sycl_access_mode = sycl::access::mode;
+
+int main() {
+  bool Failed = false;
+
+  // Checks creating of the second host accessor while first one is alive.
+  try {
+    sycl::range<1> BufSize{1};
+    sycl::buffer<int, 1> Buf(BufSize);
+
+    TestQueue Queue(sycl::default_selector_v);
+
+    Queue.submit([&](sycl::handler &CGH) {
+      auto BufAcc = Buf.get_access<sycl_access_mode::read_write>(CGH);
+      CGH.parallel_for<class init_a>(BufSize,
+                                     [=](sycl::id<1> Id) { (void)BufAcc[Id]; });
+    });
+
+    auto BufHostAcc = Buf.get_access<sycl_access_mode::read>();
+
+    Queue.wait_and_throw();
+
+  } catch (...) {
+    std::cerr << "ReleaseResources test failed." << std::endl;
+    Failed = true;
+  }
+
+  return Failed;
+}
+
+// CHECK:---> piContextCreate
+// CHECK:---> piextQueueCreate
+// CHECK:---> piProgramCreate
+// CHECK:---> piKernelCreate
+// CHECK:---> piQueueRelease
+// CHECK:---> piContextRelease
+// CHECK:---> piKernelRelease
+// CHECK:---> piProgramRelease
diff --git a/sycl/test-e2e/SeparateCompile/same-kernel.cpp b/sycl/test-e2e/SeparateCompile/same-kernel.cpp
new file mode 100644
index 0000000000000..8f3a76f3e2323
--- /dev/null
+++ b/sycl/test-e2e/SeparateCompile/same-kernel.cpp
@@ -0,0 +1,71 @@
+//==----------- same-kernel.cpp --------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// >> ---- compile src1
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -c %s -o %t-same-kernel-a.o
+//
+// >> ---- compile src2
+// RUN: %clangxx -DB_CPP=1 -fsycl -fsycl-targets=%sycl_triple -c %s -o %t-same-kernel-b.o
+//
+// >> ---- link the full hetero app
+// RUN: %clangxx %t-same-kernel-a.o %t-same-kernel-b.o -o %t-same-kernel.exe -fsycl -fsycl-targets=%sycl_triple
+// RUN: %CPU_RUN_PLACEHOLDER %t-same-kernel.exe
+// RUN: %GPU_RUN_PLACEHOLDER %t-same-kernel.exe
+// RUN: %ACC_RUN_PLACEHOLDER %t-same-kernel.exe
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class TestFnObj {
+public:
+  TestFnObj(buffer<int> &buf, handler &cgh)
+      : data(buf.get_access<access::mode::write>(cgh)) {}
+  accessor<int, 1, access::mode::write, access::target::device> data;
+  void operator()(id<1> item) const { data[item] = item[0]; }
+};
+
+void kernel2();
+
+#ifndef B_CPP
+void kernel2() {
+  static int data[256];
+  {
+    buffer<int> b(data, range<1>(256));
+    queue q;
+    q.submit([&](handler &cgh) {
+      TestFnObj kernel(b, cgh);
+      cgh.parallel_for(range<1>(256), kernel);
+    });
+  }
+  for (int i = 0; i < 256; i++) {
+    assert(data[i] == i);
+  }
+}
+#else
+void kernel1() {
+  static int data[10];
+  {
+    buffer<int> b(data, range<1>(10));
+    queue q;
+    q.submit([&](sycl::handler &cgh) {
+      TestFnObj kernel(b, cgh);
+      cgh.parallel_for(range<1>(10), kernel);
+    });
+  }
+  for (int i = 0; i < 10; i++) {
+    assert(data[i] == i);
+  }
+}
+
+int main() {
+  kernel1();
+  kernel2();
+
+  return 0;
+}
+#endif
diff --git a/sycl/test-e2e/SeparateCompile/test.cpp b/sycl/test-e2e/SeparateCompile/test.cpp
new file mode 100644
index 0000000000000..0040c6d8df7b8
--- /dev/null
+++ b/sycl/test-e2e/SeparateCompile/test.cpp
@@ -0,0 +1,127 @@
+// UNSUPPORTED: cuda || hip
+// CUDA and HIP don't support SPIR-V.
+//
+// FIXME Disabled fallback assert as it'll require either online linking or
+// explicit offline linking step here
+// FIXME separate compilation requires -fno-sycl-dead-args-optimization
+// >> ---- compile src1
+// >> device compilation...
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT -fno-sycl-dead-args-optimization -fsycl-device-only -Xclang -fsycl-int-header=sycl_ihdr_a.h %s -c -o a_kernel.bc -Wno-sycl-strict
+// >> host compilation...
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT %cxx_std_optionc++17 %include_option sycl_ihdr_a.h %debug_option -c %s -o a.o %sycl_options -fno-sycl-dead-args-optimization -Wno-sycl-strict
+//
+// >> ---- compile src2
+// >> device compilation...
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT -DB_CPP=1 -fno-sycl-dead-args-optimization -fsycl-device-only -Xclang -fsycl-int-header=sycl_ihdr_b.h %s -c -o b_kernel.bc -Wno-sycl-strict
+// >> host compilation...
+// RUN: %clangxx -DSYCL_DISABLE_FALLBACK_ASSERT -DB_CPP=1 %cxx_std_optionc++17 %include_option sycl_ihdr_b.h %debug_option -c %s -o b.o %sycl_options -fno-sycl-dead-args-optimization -Wno-sycl-strict
+//
+// >> ---- bundle .o with .spv
+// >> run bundler
+// RUN: clang-offload-bundler -type=o -targets=host-x86_64,sycl-spir64-pc-linux-gnu -input=a.o -input=a_kernel.bc -output=a_fat.o
+// RUN: clang-offload-bundler -type=o -targets=host-x86_64,sycl-spir64-pc-linux-gnu -input=b.o -input=b_kernel.bc -output=b_fat.o
+//
+// >> ---- unbundle fat objects
+// RUN: clang-offload-bundler -type=o -targets=host-x86_64,sycl-spir64-pc-linux-gnu -output=a.o -output=a_kernel.bc -input=a_fat.o -unbundle
+// RUN: clang-offload-bundler -type=o -targets=host-x86_64,sycl-spir64-pc-linux-gnu -output=b.o -output=b_kernel.bc -input=b_fat.o -unbundle
+//
+// As we are doing a separate device compilation here, we need to explicitly
+// add the device lib instrumentation (itt_compiler_wrapper)
+// >> ---- unbundle compiler wrapper device object
+// RUN: clang-offload-bundler -type=o -targets=sycl-spir64-unknown-unknown -input=%sycl_static_libs_dir/libsycl-itt-compiler-wrappers%obj_ext -output=compiler_wrappers.bc -unbundle
+//
+// >> ---- link device code
+// RUN: llvm-link -o=app.bc a_kernel.bc b_kernel.bc compiler_wrappers.bc
+//
+// >> convert linked .bc to spirv
+// RUN: llvm-spirv -o=app.spv app.bc
+//
+// >> ---- wrap device binary
+// >> produce .bc
+// RUN: clang-offload-wrapper -o wrapper.bc -host=x86_64 -kind=sycl -target=spir64 app.spv
+//
+// >> compile .bc to .o
+// RUN: %clangxx -c wrapper.bc -o wrapper.o
+//
+// >> ---- link the full hetero app
+// RUN: %clangxx wrapper.o a.o b.o -o app.exe %sycl_options
+// RUN: %BE_RUN_PLACEHOLDER ./app.exe | FileCheck %s
+// CHECK: pass
+
+//==----------- test.cpp - Tests SYCL separate compilation -----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#ifdef B_CPP
+// -----------------------------------------------------------------------------
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int run_test_b(int v) {
+  int arr[] = {v};
+  {
+    sycl::queue deviceQueue;
+    sycl::buffer<int, 1> buf(arr, 1);
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task<class kernel_b>([=]() { acc[0] *= 3; });
+    });
+  }
+  return arr[0];
+}
+
+#else // !B_CPP
+
+// -----------------------------------------------------------------------------
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace std;
+
+const int VAL = 10;
+
+extern int run_test_b(int);
+
+int run_test_a(int v) {
+  int arr[] = {v};
+  {
+    sycl::queue deviceQueue;
+    sycl::buffer<int, 1> buf(arr, 1);
+    deviceQueue.submit([&](sycl::handler &cgh) {
+      auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
+      cgh.single_task<class kernel_a>([=]() { acc[0] *= 2; });
+    });
+  }
+  return arr[0];
+}
+
+int main(int argc, char **argv) {
+  bool pass = true;
+
+  int test_a = run_test_a(VAL);
+  const int GOLD_A = 2 * VAL;
+
+  if (test_a != GOLD_A) {
+    std::cout << "FAILD test_a. Expected: " << GOLD_A << ", got: " << test_a
+              << "\n";
+    pass = false;
+  }
+
+  int test_b = run_test_b(VAL);
+  const int GOLD_B = 3 * VAL;
+
+  if (test_b != GOLD_B) {
+    std::cout << "FAILD test_b. Expected: " << GOLD_B << ", got: " << test_b
+              << "\n";
+    pass = false;
+  }
+
+  if (pass) {
+    std::cout << "pass\n";
+  }
+  return pass ? 0 : 1;
+}
+#endif // !B_CPP
diff --git a/sycl/test-e2e/SpecConstants/2020/common.hpp b/sycl/test-e2e/SpecConstants/2020/common.hpp
new file mode 100644
index 0000000000000..811ad372486c8
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/common.hpp
@@ -0,0 +1,68 @@
+// Common functionality for SYCL 2020 specialization constants tests:
+// definition of custom data types, helper functions, etc.
+
+#pragma once
+
+#include <iostream>
+#include <string>
+
+struct custom_type_nested {
+  static constexpr char default_c_value = 'a';
+  static constexpr float default_f_value = 1.7;
+
+  constexpr custom_type_nested() = default;
+  constexpr custom_type_nested(char c, float f) : c(c), f(f) {}
+
+  char c = default_c_value;
+  float f = default_f_value;
+};
+
+inline bool operator==(const custom_type_nested &lhs,
+                       const custom_type_nested &rhs) {
+  return lhs.c == rhs.c && lhs.f == rhs.f;
+}
+
+inline bool operator!=(const custom_type_nested &lhs,
+                       const custom_type_nested &rhs) {
+  return !(lhs == rhs);
+}
+
+inline std::ostream &operator<<(std::ostream &out,
+                                const custom_type_nested &v) {
+  return out << "custom_type_nested { .c = " << v.c << ", .f = " << v.f << "}";
+}
+
+struct custom_type {
+  static constexpr unsigned long long default_ull_value = 42;
+
+  constexpr custom_type() = default;
+  constexpr custom_type(char c, float f, unsigned long long ull)
+      : n(c, f), ull(ull) {}
+
+  custom_type_nested n;
+  unsigned long long ull = default_ull_value;
+};
+
+inline bool operator==(const custom_type &lhs, const custom_type &rhs) {
+  return lhs.n == rhs.n && lhs.ull == rhs.ull;
+}
+
+inline bool operator!=(const custom_type &lhs, const custom_type &rhs) {
+  return !(lhs == rhs);
+}
+
+inline std::ostream &operator<<(std::ostream &out, const custom_type &v) {
+  return out << "custom_type { .n = \n\t" << v.n << ",\n .ull = " << v.ull
+             << "}";
+}
+
+template <typename T>
+bool check_value(const T &ref, const T &got, const std::string &variable_name) {
+  if (got != ref) {
+    std::cout << "Unexpected value of " << variable_name << ": " << got
+              << " (got) vs " << ref << " (expected)" << std::endl;
+    return false;
+  }
+
+  return true;
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/handler-api.cpp b/sycl/test-e2e/SpecConstants/2020/handler-api.cpp
new file mode 100644
index 0000000000000..94a9b9dfa4896
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/handler-api.cpp
@@ -0,0 +1,215 @@
+// This test is intended to check basic operations with SYCL 2020 specialization
+// constants using sycl::handler and sycl::kernel_handler APIs:
+// - test that specialization constants can be accessed in kernel and they
+//   have their default values if `set_specialization_constants` wasn't called
+// - test that specialization constant values can be set and retrieved within
+//   command group scope
+// - test that specialization constant values can be set within command group
+//   scope and correctly retrieved within a kernel
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out \
+// RUN:          -fsycl-dead-args-optimization
+// FIXME: SYCL 2020 specialization constants are not supported on host device
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// FIXME: ACC devices use emulation path, which is not yet supported
+// UNSUPPORTED: hip
+
+#include <cstdlib>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include "common.hpp"
+
+constexpr sycl::specialization_id<int> int_id;
+constexpr sycl::specialization_id<int> int_id2(2);
+constexpr sycl::specialization_id<float> float_id(3.14);
+constexpr sycl::specialization_id<custom_type> custom_type_id;
+
+class TestDefaultValuesKernel;
+class EmptyKernel;
+class TestSetAndGetOnDevice;
+
+bool test_default_values(sycl::queue q);
+bool test_set_and_get_on_host(sycl::queue q);
+bool test_set_and_get_on_device(sycl::queue q);
+
+int main() {
+  auto exception_handler = [&](sycl::exception_list exceptions) {
+    for (std::exception_ptr const &e : exceptions) {
+      try {
+        std::rethrow_exception(e);
+      } catch (sycl::exception const &e) {
+        std::cout << "An async SYCL exception was caught: " << e.what()
+                  << std::endl;
+        std::exit(1);
+      }
+    }
+  };
+
+  sycl::queue q(exception_handler);
+
+  if (!test_default_values(q)) {
+    std::cout << "Test for default values of specialization constants failed!"
+              << std::endl;
+    return 1;
+  }
+
+  if (!test_set_and_get_on_host(q)) {
+    std::cout << "Test for set and get API on host failed!" << std::endl;
+    return 1;
+  }
+
+  if (!test_set_and_get_on_device(q)) {
+    std::cout << "Test for set and get API on device failed!" << std::endl;
+    return 1;
+  }
+
+  return 0;
+};
+
+bool test_default_values(sycl::queue q) {
+  sycl::buffer<int> int_buffer(1);
+  sycl::buffer<int> int_buffer2(1);
+  sycl::buffer<float> float_buffer(1);
+  sycl::buffer<custom_type> custom_type_buffer(1);
+
+  q.submit([&](sycl::handler &cgh) {
+    auto int_acc = int_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto int_acc2 = int_buffer2.get_access<sycl::access::mode::write>(cgh);
+    auto float_acc = float_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto custom_type_acc =
+        custom_type_buffer.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<TestDefaultValuesKernel>([=](sycl::kernel_handler kh) {
+      int_acc[0] = kh.get_specialization_constant<int_id>();
+      int_acc2[0] = kh.get_specialization_constant<int_id2>();
+      float_acc[0] = kh.get_specialization_constant<float_id>();
+      custom_type_acc[0] = kh.get_specialization_constant<custom_type_id>();
+    });
+  });
+
+  auto int_acc = int_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(
+          0, int_acc[0],
+          "integer specialization constant (defined without default value)"))
+    return false;
+
+  auto int_acc2 = int_buffer2.get_access<sycl::access::mode::read>();
+  if (!check_value(2, int_acc2[0], "integer specialization constant"))
+    return false;
+
+  auto float_acc = float_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(3.14f, float_acc[0], "float specialization constant"))
+    return false;
+
+  auto custom_type_acc =
+      custom_type_buffer.get_access<sycl::access::mode::read>();
+  const custom_type custom_type_ref;
+  if (!check_value(custom_type_ref, custom_type_acc[0],
+                   "custom_type specialization constant"))
+    return false;
+
+  return true;
+}
+
+bool test_set_and_get_on_host(sycl::queue q) {
+  unsigned errors = 0;
+  q.submit([&](sycl::handler &cgh) {
+    if (!check_value(
+            0, cgh.get_specialization_constant<int_id>(),
+            "integer specializaiton constant before setting any value"))
+      ++errors;
+
+    if (!check_value(3.14f, cgh.get_specialization_constant<float_id>(),
+                     "float specializaiton constant before setting any value"))
+      ++errors;
+
+    custom_type custom_type_ref;
+    if (!check_value(
+            custom_type_ref, cgh.get_specialization_constant<custom_type_id>(),
+            "custom_type specializaiton constant before setting any value"))
+      ++errors;
+
+    int new_int_value = 8;
+    float new_float_value = 3.0f;
+    custom_type new_custom_type_value('b', 1.0f, 12);
+    cgh.set_specialization_constant<int_id>(new_int_value);
+    cgh.set_specialization_constant<float_id>(new_float_value);
+    cgh.set_specialization_constant<custom_type_id>(new_custom_type_value);
+
+    if (!check_value(
+            new_int_value, cgh.get_specialization_constant<int_id>(),
+            "integer specializaiton constant after setting a new value"))
+      ++errors;
+
+    if (!check_value(new_float_value,
+                     cgh.get_specialization_constant<float_id>(),
+                     "float specializaiton constant after setting a new value"))
+      ++errors;
+
+    if (!check_value(
+            new_custom_type_value,
+            cgh.get_specialization_constant<custom_type_id>(),
+            "custom_type specializaiton constant after setting a new value"))
+      ++errors;
+
+    cgh.single_task<EmptyKernel>([=]() {});
+  });
+
+  return errors == 0;
+}
+
+bool test_set_and_get_on_device(sycl::queue q) {
+  sycl::buffer<int> int_buffer(1);
+  sycl::buffer<int> int_buffer2(1);
+  sycl::buffer<float> float_buffer(1);
+  sycl::buffer<custom_type> custom_type_buffer(1);
+
+  int new_int_value = 8;
+  int new_int_value2 = 0;
+  float new_float_value = 3.0f;
+  custom_type new_custom_type_value('b', 1.0f, 12);
+
+  q.submit([&](sycl::handler &cgh) {
+    auto int_acc = int_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto int_acc2 = int_buffer2.get_access<sycl::access::mode::write>(cgh);
+    auto float_acc = float_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto custom_type_acc =
+        custom_type_buffer.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.set_specialization_constant<int_id>(new_int_value);
+    cgh.set_specialization_constant<int_id2>(new_int_value2);
+    cgh.set_specialization_constant<float_id>(new_float_value);
+    cgh.set_specialization_constant<custom_type_id>(new_custom_type_value);
+
+    cgh.single_task<TestSetAndGetOnDevice>([=](sycl::kernel_handler kh) {
+      int_acc[0] = kh.get_specialization_constant<int_id>();
+      int_acc2[0] = kh.get_specialization_constant<int_id2>();
+      float_acc[0] = kh.get_specialization_constant<float_id>();
+      custom_type_acc[0] = kh.get_specialization_constant<custom_type_id>();
+    });
+  });
+
+  auto int_acc = int_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(new_int_value, int_acc[0],
+                   "integer specialization constant"))
+    return false;
+
+  auto int_acc2 = int_buffer2.get_access<sycl::access::mode::read>();
+  if (!check_value(new_int_value2, int_acc2[0],
+                   "integer specialization constant"))
+    return false;
+
+  auto float_acc = float_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(new_float_value, float_acc[0],
+                   "float specialization constant"))
+    return false;
+
+  auto custom_type_acc =
+      custom_type_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(new_custom_type_value, custom_type_acc[0],
+                   "custom_type specialization constant"))
+    return false;
+
+  return true;
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/host_apis.cpp b/sycl/test-e2e/SpecConstants/2020/host_apis.cpp
new file mode 100644
index 0000000000000..e58e95056daae
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/host_apis.cpp
@@ -0,0 +1,100 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out \
+// RUN:          -fsycl-dead-args-optimization
+// RUN: %BE_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: hip
+
+#include <sycl/sycl.hpp>
+
+#include <cmath>
+
+class Kernel1Name;
+class Kernel2Name;
+
+struct TestStruct {
+  int a;
+  int b;
+};
+
+struct TestStruct2 {
+  bool a;
+  long b;
+};
+
+const static sycl::specialization_id<int> SpecConst1{42};
+const static sycl::specialization_id<int> SpecConst2{42};
+const static sycl::specialization_id<TestStruct> SpecConst3{TestStruct{42, 42}};
+const static sycl::specialization_id<short> SpecConst4{42};
+const static sycl::specialization_id<TestStruct2> SpecConst5{
+    TestStruct2{true, 0}};
+
+int main() {
+  sycl::queue Q;
+
+  // The code is needed to just have device images in the executable
+  if (0) {
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<Kernel1Name>([] {}); });
+    Q.submit([](sycl::handler &CGH) { CGH.single_task<Kernel2Name>([] {}); });
+  }
+
+  const sycl::context Ctx = Q.get_context();
+  const sycl::device Dev = Q.get_device();
+
+  sycl::kernel_bundle KernelBundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev});
+
+  assert(KernelBundle.contains_specialization_constants() == true);
+  assert(KernelBundle.has_specialization_constant<SpecConst1>() == false);
+  assert(KernelBundle.has_specialization_constant<SpecConst2>() == true);
+
+  // Test that unused spec constants are saved.
+  assert(KernelBundle.get_specialization_constant<SpecConst1>() == 42);
+  KernelBundle.set_specialization_constant<SpecConst1>(1);
+  assert(KernelBundle.get_specialization_constant<SpecConst1>() == 1);
+
+  KernelBundle.set_specialization_constant<SpecConst2>(1);
+  {
+    auto ExecBundle = sycl::build(KernelBundle);
+    assert(ExecBundle.get_specialization_constant<SpecConst1>() == 1);
+    assert(ExecBundle.get_specialization_constant<SpecConst2>() == 1);
+    sycl::buffer<int, 1> Buf{sycl::range{1}};
+    Q.submit([&](sycl::handler &CGH) {
+      CGH.use_kernel_bundle(ExecBundle);
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class Kernel3Name>([=](sycl::kernel_handler KH) {
+        Acc[0] = KH.get_specialization_constant<SpecConst2>();
+      });
+    });
+    auto Acc = Buf.get_access<sycl::access::mode::read>();
+    assert(Acc[0] == 1);
+  }
+
+  {
+    sycl::buffer<TestStruct, 1> Buf{sycl::range{1}};
+    Q.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.set_specialization_constant<SpecConst3>(TestStruct{1, 2});
+      const auto SC = CGH.get_specialization_constant<SpecConst4>();
+      assert(SC == 42);
+      CGH.single_task<class Kernel4Name>([=](sycl::kernel_handler KH) {
+        Acc[0] = KH.get_specialization_constant<SpecConst3>();
+      });
+    });
+    auto Acc = Buf.get_access<sycl::access::mode::read>();
+    assert(Acc[0].a == 1 && Acc[0].b == 2);
+  }
+
+  sycl::kernel_bundle KernelBundle2 =
+      sycl::get_kernel_bundle<sycl::bundle_state::input>(Ctx, {Dev});
+  KernelBundle2.set_specialization_constant<SpecConst5>(TestStruct2{false, 1});
+
+  sycl::kernel_bundle KernelBundle3 =
+      sycl::join<sycl::bundle_state::input>({KernelBundle2, KernelBundle});
+
+  assert(KernelBundle3.get_specialization_constant<SpecConst5>().a == false);
+  assert(KernelBundle3.get_specialization_constant<SpecConst5>().b == 1);
+  assert(KernelBundle3.get_specialization_constant<SpecConst1>() == 1);
+  assert(KernelBundle3.get_specialization_constant<SpecConst2>() == 1);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/kernel-bundle-api.cpp b/sycl/test-e2e/SpecConstants/2020/kernel-bundle-api.cpp
new file mode 100644
index 0000000000000..5222fdecc8719
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/kernel-bundle-api.cpp
@@ -0,0 +1,259 @@
+// This test is intended to check basic operations with SYCL 2020 specialization
+// constants using sycl::kernel_bundle and sycl::kernel_handler APIs:
+// - test that specialization constants can be accessed in kernel and they
+//   have their default values if `set_specialization_constants` wasn't called
+// - test that specialization constant values can be set and retrieved through
+//   kernel_bundle APIs on host
+// - test that specialization constant values can be set through kernel_bundle
+//   API and correctly retrieved within a kernel
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out \
+// RUN:          -fsycl-dead-args-optimization
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// FIXME: ACC devices use emulation path, which is not yet supported
+// UNSUPPORTED: hip
+
+#include <cstdlib>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include "common.hpp"
+
+constexpr sycl::specialization_id<int> int_id;
+constexpr sycl::specialization_id<float> float_id(3.14f);
+constexpr sycl::specialization_id<custom_type> custom_type_id;
+
+class TestDefaultValuesKernel;
+class EmptyKernel;
+class TestSetAndGetOnDevice;
+
+bool test_default_values(sycl::queue q);
+bool test_set_and_get_on_host(sycl::queue q);
+bool test_set_and_get_on_device(sycl::queue q);
+
+int main() {
+  auto exception_handler = [&](sycl::exception_list exceptions) {
+    for (std::exception_ptr const &e : exceptions) {
+      try {
+        std::rethrow_exception(e);
+      } catch (sycl::exception const &e) {
+        std::cout << "An async SYCL exception was caught: " << e.what()
+                  << std::endl;
+        std::exit(1);
+      }
+    }
+  };
+
+  sycl::queue q(exception_handler);
+
+  if (!test_default_values(q)) {
+    std::cout << "Test for default values of specialization constants failed!"
+              << std::endl;
+    return 1;
+  }
+
+  if (!test_set_and_get_on_host(q)) {
+    std::cout << "Test for set and get API on host failed!" << std::endl;
+    return 1;
+  }
+
+  if (!test_set_and_get_on_device(q)) {
+    std::cout << "Test for set and get API on device failed!" << std::endl;
+    return 1;
+  }
+
+  return 0;
+};
+
+bool test_default_values(sycl::queue q) {
+  if (!sycl::has_kernel_bundle<sycl::bundle_state::input>(q.get_context())) {
+    std::cout << "Cannot obtain kernel_bundle in input state, skipping default "
+                 "values test"
+              << std::endl;
+    // TODO: check that online_compielr aspec is not available
+    return true;
+  }
+
+  sycl::buffer<int> int_buffer(1);
+  sycl::buffer<float> float_buffer(1);
+  sycl::buffer<custom_type> custom_type_buffer(1);
+
+  auto input_bundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::input>(q.get_context());
+  auto exec_bundle = sycl::build(input_bundle);
+
+  q.submit([&](sycl::handler &cgh) {
+    cgh.use_kernel_bundle(exec_bundle);
+    auto int_acc = int_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto float_acc = float_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto custom_type_acc =
+        custom_type_buffer.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<TestDefaultValuesKernel>([=](sycl::kernel_handler kh) {
+      int_acc[0] = kh.get_specialization_constant<int_id>();
+      float_acc[0] = kh.get_specialization_constant<float_id>();
+      custom_type_acc[0] = kh.get_specialization_constant<custom_type_id>();
+    });
+  });
+
+  auto int_acc = int_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(
+          0, int_acc[0],
+          "integer specialization constant (defined without default value)"))
+    return false;
+
+  auto float_acc = float_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(3.14f, float_acc[0], "float specialization constant"))
+    return false;
+
+  auto custom_type_acc =
+      custom_type_buffer.get_access<sycl::access::mode::read>();
+  const custom_type custom_type_ref;
+  if (!check_value(custom_type_ref, custom_type_acc[0],
+                   "custom_type specialization constant"))
+    return false;
+
+  return true;
+}
+
+bool test_set_and_get_on_host(sycl::queue q) {
+  if (!sycl::has_kernel_bundle<sycl::bundle_state::input>(q.get_context())) {
+    std::cout << "Cannot obtain kernel_bundle in input state, skipping default "
+                 "values test"
+              << std::endl;
+    // TODO: check that online_compielr aspec is not available
+    return true;
+  }
+
+  unsigned errors = 0;
+
+  try {
+    auto input_bundle =
+        sycl::get_kernel_bundle<sycl::bundle_state::input>(q.get_context());
+
+    if (!input_bundle.contains_specialization_constants()) {
+      std::cout
+          << "Obtained kernel_bundle is expected to contain specialization "
+             "constants, but it doesn't!"
+          << std::endl;
+      return false;
+    }
+
+    // Check default values
+    if (!check_value(
+            0, input_bundle.get_specialization_constant<int_id>(),
+            "integer specializaiton constant before setting any value"))
+      ++errors;
+
+    if (!check_value(3.14f,
+                     input_bundle.get_specialization_constant<float_id>(),
+                     "float specializaiton constant before setting any value"))
+      ++errors;
+
+    custom_type custom_type_ref;
+    if (!check_value(
+            custom_type_ref,
+            input_bundle.get_specialization_constant<custom_type_id>(),
+            "custom_type specializaiton constant before setting any value"))
+      ++errors;
+
+    // Update values
+    int new_int_value = 42;
+    float new_float_value = 3.0f;
+    custom_type new_custom_type_value('b', 1.0f, 12);
+
+    input_bundle.set_specialization_constant<int_id>(new_int_value);
+    input_bundle.set_specialization_constant<float_id>(new_float_value);
+    input_bundle.set_specialization_constant<custom_type_id>(
+        new_custom_type_value);
+
+    // And re-check them again
+    if (!check_value(
+            new_int_value, input_bundle.get_specialization_constant<int_id>(),
+            "integer specializaiton constant after setting a new value"))
+      ++errors;
+
+    if (!check_value(new_float_value,
+                     input_bundle.get_specialization_constant<float_id>(),
+                     "float specializaiton constant after setting a value"))
+      ++errors;
+
+    if (!check_value(
+            new_custom_type_value,
+            input_bundle.get_specialization_constant<custom_type_id>(),
+            "custom_type specializaiton constant after setting a new value"))
+      ++errors;
+
+    // Let's try to build the bundle
+    auto exec_bundle = sycl::build(input_bundle);
+
+    // And ensure that updated spec constant values are still there
+    if (!check_value(new_int_value,
+                     exec_bundle.get_specialization_constant<int_id>(),
+                     "integer specializaiton constant after build"))
+      ++errors;
+
+    if (!check_value(new_float_value,
+                     exec_bundle.get_specialization_constant<float_id>(),
+                     "float specializaiton constant after build"))
+      ++errors;
+
+    if (!check_value(new_custom_type_value,
+                     exec_bundle.get_specialization_constant<custom_type_id>(),
+                     "custom_type specializaiton constant after build"))
+      ++errors;
+  } catch (sycl::exception &e) {
+  }
+
+  return 0 == errors;
+}
+
+bool test_set_and_get_on_device(sycl::queue q) {
+  sycl::buffer<int> int_buffer(1);
+  sycl::buffer<float> float_buffer(1);
+  sycl::buffer<custom_type> custom_type_buffer(1);
+
+  int new_int_value = 42;
+  float new_float_value = 3.0f;
+  custom_type new_custom_type_value('b', 1.0f, 12);
+
+  auto input_bundle =
+      sycl::get_kernel_bundle<sycl::bundle_state::input>(q.get_context());
+  input_bundle.set_specialization_constant<int_id>(new_int_value);
+  input_bundle.set_specialization_constant<float_id>(new_float_value);
+  input_bundle.set_specialization_constant<custom_type_id>(
+      new_custom_type_value);
+  auto exec_bundle = sycl::build(input_bundle);
+
+  q.submit([&](sycl::handler &cgh) {
+    cgh.use_kernel_bundle(exec_bundle);
+    auto int_acc = int_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto float_acc = float_buffer.get_access<sycl::access::mode::write>(cgh);
+    auto custom_type_acc =
+        custom_type_buffer.get_access<sycl::access::mode::write>(cgh);
+
+    cgh.single_task<TestSetAndGetOnDevice>([=](sycl::kernel_handler kh) {
+      int_acc[0] = kh.get_specialization_constant<int_id>();
+      float_acc[0] = kh.get_specialization_constant<float_id>();
+      custom_type_acc[0] = kh.get_specialization_constant<custom_type_id>();
+    });
+  });
+
+  auto int_acc = int_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(new_int_value, int_acc[0],
+                   "integer specialization constant"))
+    return false;
+
+  auto float_acc = float_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(new_float_value, float_acc[0],
+                   "float specialization constant"))
+    return false;
+
+  auto custom_type_acc =
+      custom_type_buffer.get_access<sycl::access::mode::read>();
+  if (!check_value(new_custom_type_value, custom_type_acc[0],
+                   "custom_type specialization constant"))
+    return false;
+
+  return true;
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/kernel_lambda_with_kernel_handler_arg.cpp b/sycl/test-e2e/SpecConstants/2020/kernel_lambda_with_kernel_handler_arg.cpp
new file mode 100644
index 0000000000000..5d371a45e0da4
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/kernel_lambda_with_kernel_handler_arg.cpp
@@ -0,0 +1,108 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// This test checks all possible scenarios of running single_task, parallel_for
+// and parallel_for_work_group to verify that this code compiles and runs
+// correctly with user's lambda with and without sycl::kernel_handler argument
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+
+  // single_task w/o kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class KernelSingleTaskWOKernelHandler>([=]() {});
+  });
+
+  // single_task with kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class KernelSingleTaskWithKernelHandler>(
+        [=](sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for with id and w/o kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForIdWithoutKernelHandler>(
+        sycl::range<1>(1), [](sycl::id<1> i) {});
+  });
+
+  // parallel_for with id and kernel_handler args
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForIdWithKernelHandler>(
+        sycl::range<1>(1), [](sycl::id<1> i, sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for with item and w/o kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForItemWithoutKernelHandler>(
+        sycl::range<3>(3, 3, 3), [](sycl::item<3> it) {});
+  });
+
+  // parallel_for with item and kernel_handler args
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForItemWithKernelHandler>(
+        sycl::range<3>(3, 3, 3),
+        [](sycl::item<3> it, sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for with nd_item and w/o kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForNDItemWithoutKernelHandler>(
+        sycl::nd_range<3>(sycl::range<3>(4, 4, 4), sycl::range<3>(2, 2, 2)),
+        [=](sycl::nd_item<3> item) {});
+  });
+
+  // parallel_for with nd_item and kernel_handler args
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForNDItemWithKernelHandler>(
+        sycl::nd_range<3>(sycl::range<3>(4, 4, 4), sycl::range<3>(2, 2, 2)),
+        [=](sycl::nd_item<3> item, sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for with generic lambda w/o kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForGenericLambdaWithoutKernelHandler>(
+        sycl::range<3>(3, 3, 3), [](auto it) {});
+  });
+
+  // parallel_for with generic lambda with kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForGenericLambdaWithKernelHandler>(
+        sycl::range<3>(3, 3, 3), [](auto it, sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for with integral type arg and w/o kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForIntWithoutKernelHandler>(
+        sycl::range<1>(1), [](int index) {});
+  });
+
+  // parallel_for with integral type and kernel_handler args
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForIntWithKernelHandler>(
+        sycl::range<1>(1), [](int index, sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for_work_group without kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for_work_group<
+        class KernelParallelForWorkGroupWithKernelHandler>(
+        sycl::range<3>(2, 2, 2), sycl::range<3>(2, 2, 2),
+        [=](sycl::group<3> myGroup) {
+          myGroup.parallel_for_work_item([&](sycl::h_item<3> myItem) {});
+          myGroup.parallel_for_work_item([&](sycl::h_item<3> myItem) {});
+        });
+  });
+
+  // parallel_for_work_group with kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for_work_group<
+        class KernelParallelForWorkGroupWithoutKernelHandler>(
+        sycl::range<3>(2, 2, 2), sycl::range<3>(2, 2, 2),
+        [=](sycl::group<3> myGroup, sycl::kernel_handler kh) {
+          myGroup.parallel_for_work_item([&](sycl::h_item<3> myItem) {});
+          myGroup.parallel_for_work_item([&](sycl::h_item<3> myItem) {});
+        });
+  });
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/Inputs/common.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/Inputs/common.cpp
new file mode 100644
index 0000000000000..c8e3cc6ac5d1f
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/Inputs/common.cpp
@@ -0,0 +1,50 @@
+#include <sycl/sycl.hpp>
+
+#include <cmath>
+
+class Kernel1Name;
+class Kernel2Name;
+
+struct TestStruct {
+  int a;
+  int b;
+};
+
+const static sycl::specialization_id<int> SpecConst1{42};
+const static sycl::specialization_id<int> SpecConst2{42};
+const static sycl::specialization_id<TestStruct> SpecConst3{TestStruct{42, 42}};
+const static sycl::specialization_id<short> SpecConst4{42};
+
+int main() {
+  sycl::queue Q;
+
+  {
+    sycl::buffer<int, 1> Buf{sycl::range{1}};
+    Q.submit([&](sycl::handler &CGH) {
+      CGH.set_specialization_constant<SpecConst2>(1);
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.single_task<class Kernel1Name>([=](sycl::kernel_handler KH) {
+        Acc[0] = KH.get_specialization_constant<SpecConst2>();
+      });
+    });
+    auto Acc = Buf.get_access<sycl::access::mode::read>();
+    assert(Acc[0] == 1);
+  }
+
+  {
+    sycl::buffer<TestStruct, 1> Buf{sycl::range{1}};
+    Q.submit([&](sycl::handler &CGH) {
+      auto Acc = Buf.get_access<sycl::access::mode::read_write>(CGH);
+      CGH.set_specialization_constant<SpecConst3>(TestStruct{1, 2});
+      const auto SC = CGH.get_specialization_constant<SpecConst4>();
+      assert(SC == 42);
+      CGH.single_task<class Kernel2Name>([=](sycl::kernel_handler KH) {
+        Acc[0] = KH.get_specialization_constant<SpecConst3>();
+      });
+    });
+    auto Acc = Buf.get_access<sycl::access::mode::read>();
+    assert(Acc[0].a == 1 && Acc[0].b == 2);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/SpecConstBuffer.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/SpecConstBuffer.cpp
new file mode 100644
index 0000000000000..b153eb5086301
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/SpecConstBuffer.cpp
@@ -0,0 +1,22 @@
+// REQUIRES: opencl-aot, cpu
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %S/Inputs/common.cpp -o %t.out \
+// RUN:          -fsycl-dead-args-optimization
+// RUN: env SYCL_PI_TRACE=-1 %CPU_RUN_PLACEHOLDER %t.out | FileCheck %s
+
+#include <sycl/sycl.hpp>
+
+const static sycl::specialization_id<int> SpecConst{42};
+
+int main() {
+  sycl::queue Q;
+  Q.submit([&](sycl::handler &CGH) {
+    CGH.set_specialization_constant<SpecConst>(1);
+    CGH.single_task<class KernelName>([=](sycl::kernel_handler KH) {
+      (void)KH.get_specialization_constant<SpecConst>();
+    });
+  });
+  Q.wait();
+  return 0;
+  // CHECK: piMemRelease
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/accelerator.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/accelerator.cpp
new file mode 100644
index 0000000000000..fa43130ee8faa
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/accelerator.cpp
@@ -0,0 +1,8 @@
+// REQUIRES: opencl-aot, accelerator
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_fpga %S/Inputs/common.cpp -o %t.out \
+// RUN:          -fsycl-dead-args-optimization
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test checks correctness of SYCL2020 non-native specialization constants
+// on accelerator device
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/aot_w_kernel_handler_wo_spec_consts.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/aot_w_kernel_handler_wo_spec_consts.cpp
new file mode 100644
index 0000000000000..af14c8b0c70d3
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/aot_w_kernel_handler_wo_spec_consts.cpp
@@ -0,0 +1,34 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// This test checks correctness of compiling and running of application with
+// kernel lambdas containing kernel_handler arguments and w/o usage of
+// specialization constants in AOT mode
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue q;
+
+  q.submit([&](sycl::handler &cgh) {
+    cgh.single_task<class KernelSingleTaskWithKernelHandler>(
+        [=](sycl::kernel_handler kh) {});
+  });
+
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for<class KernelParallelForNDItemWithKernelHandler>(
+        sycl::nd_range<3>(sycl::range<3>(4, 4, 4), sycl::range<3>(2, 2, 2)),
+        [=](sycl::nd_item<3> item, sycl::kernel_handler kh) {});
+  });
+
+  // parallel_for_work_group with kernel_handler arg
+  q.submit([&](sycl::handler &cgh) {
+    cgh.parallel_for_work_group<
+        class KernelParallelForWorkGroupWithoutKernelHandler>(
+        sycl::range<3>(2, 2, 2), sycl::range<3>(2, 2, 2),
+        [=](sycl::group<3> myGroup, sycl::kernel_handler kh) {
+          myGroup.parallel_for_work_item([&](sycl::h_item<3> myItem) {});
+          myGroup.parallel_for_work_item([&](sycl::h_item<3> myItem) {});
+        });
+  });
+}
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/cpu.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/cpu.cpp
new file mode 100644
index 0000000000000..d4650705481f1
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/cpu.cpp
@@ -0,0 +1,8 @@
+// REQUIRES: opencl-aot, cpu
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64 %S/Inputs/common.cpp -o %t.out \
+// RUN:          -fsycl-dead-args-optimization
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// This test checks correctness of SYCL2020 non-native specialization constants
+// on CPU device
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/cuda.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/cuda.cpp
new file mode 100644
index 0000000000000..1067a0c15e643
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/cuda.cpp
@@ -0,0 +1,7 @@
+// REQUIRES: cuda
+
+// RUN: %clangxx -fsycl -fsycl-targets=nvptx64-nvidia-cuda %S/Inputs/common.cpp -o %t.out
+// RUN: env ONEAPI_DEVICE_SELECTOR="cuda:*" %t.out
+
+// This test checks correctness of SYCL2020 non-native specialization constants
+// on CUDA device
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/gpu.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/gpu.cpp
new file mode 100644
index 0000000000000..27a2911b88326
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/gpu.cpp
@@ -0,0 +1,12 @@
+// REQUIRES: ocloc, gpu, TEMPORARY_DISABLED
+// UNSUPPORTED: cuda
+// CUDA is not compatible with SPIR.
+//
+// UNSUPPORTED: hip
+// HIP is not compatible with SPIR.
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_gen -Xsycl-target-backend=spir64_gen %gpu_aot_target_opts %S/Inputs/common.cpp -o %t.out -fsycl-dead-args-optimization
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test checks correctness of SYCL2020 non-native specialization constants
+// on GPU device
diff --git a/sycl/test-e2e/SpecConstants/2020/non_native/multiple-targets.cpp b/sycl/test-e2e/SpecConstants/2020/non_native/multiple-targets.cpp
new file mode 100644
index 0000000000000..883a52dfc1e0e
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/non_native/multiple-targets.cpp
@@ -0,0 +1,14 @@
+// REQUIRES: opencl-aot, cpu
+// UNSUPPORTED: cuda
+
+// RUN: %clangxx -fsycl -fsycl-targets=spir64,spir64_x86_64 %S/Inputs/common.cpp -o %t_spv_cpu.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_spv_cpu.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_spv_cpu.out
+// Ensure that image ordering does not impact the execution
+// RUN: %clangxx -fsycl -fsycl-targets=spir64_x86_64,spir64 %S/Inputs/common.cpp -o %t_cpu_spv.out
+// RUN: %CPU_RUN_PLACEHOLDER %t_cpu_spv.out
+// RUN: %GPU_RUN_PLACEHOLDER %t_cpu_spv.out
+
+// This test checks correctness of SYCL2020 specialization constants' handling
+// whenever targets with both native and non-native support are present for the
+// fat binary.
diff --git a/sycl/test-e2e/SpecConstants/2020/vector-convolution-demo.cpp b/sycl/test-e2e/SpecConstants/2020/vector-convolution-demo.cpp
new file mode 100644
index 0000000000000..63732691dee54
--- /dev/null
+++ b/sycl/test-e2e/SpecConstants/2020/vector-convolution-demo.cpp
@@ -0,0 +1,174 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// UNSUPPORTED: hip
+
+// This test checks the spenario of using specialization constants with an
+// 'array of array' as well as a 'stuct with an array of array' types for
+// vector convolution as it is described in chapter 4.9.5. Specialization
+// constants of the SYCL 2020 specification:
+// https://www.khronos.org/registry/SYCL/specs/sycl-2020/html/sycl-2020.html#_example_usage
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cmath>
+#include <iostream>
+
+using namespace sycl;
+
+using coeff_t = std::array<std::array<float, 3>, 3>;
+
+struct coeff_struct_t {
+  std::array<std::array<float, 3>, 3> c;
+};
+
+struct alignas(64) coeff_struct_aligned_t {
+  std::array<std::array<float, 3>, 3> c;
+};
+
+struct alignas(64) coeff_struct_aligned2_t {
+  std::array<std::array<float, 3>, 3> c;
+  int number;
+};
+
+template <typename T> constexpr T get_coefficients() {
+  return {{{{1.0, 2.0, 3.0}, {1.1, 2.1, 3.1}, {1.2, 2.2, 3.2}}}};
+}
+
+template <> constexpr coeff_t get_coefficients<coeff_t>() {
+  return {{{1.0, 2.0, 3.0}, {1.1, 2.1, 3.1}, {1.2, 2.2, 3.2}}};
+}
+
+constexpr specialization_id<coeff_t> coeff_id;
+
+constexpr specialization_id<coeff_struct_t> coeff_struct_id;
+
+// Represented in the IR as
+// clang-format off
+// { %struct.coeff_struct_aligned_t { %"class.std::array.0" zeroinitializer, [28 x i8] undef } }
+//                                                                           ~ padding ~
+// clang-format on
+constexpr specialization_id<coeff_struct_aligned_t> coeff_struct_aligned_id;
+
+// An extra specialization constant to check whether the runtime correctly
+// calculates the sizes and offsets of the specialization constants with
+// padding.
+// Represented in the IR as
+// clang-format off
+// { %struct.coeff_struct_aligned2_t { %"class.std::array.0" zeroinitializer, i32 0, [24 x i8] undef } }
+//                                                                                   ~ padding ~
+// clang-format on
+constexpr specialization_id<coeff_struct_aligned2_t> coeff_struct_aligned_id2;
+
+template <typename IN>
+float calc_conv(const coeff_t &coeff, const IN &in, item<2> item_id) {
+  float acc = 0;
+
+  for (int i = -1; i <= 1; i++) {
+    if (item_id[0] + i < 0 || item_id[0] + i >= in.get_range()[0])
+      continue;
+    for (int j = -1; j <= 1; j++) {
+      if (item_id[1] + j < 0 || item_id[1] + j >= in.get_range()[1])
+        continue;
+      // The underlying JIT can see all the values of the array returned
+      // by coeff.get().
+      acc += coeff[i + 1][j + 1] * in[item_id[0] + i][item_id[1] + j];
+    }
+  }
+  return acc;
+}
+
+template <typename KernelName, typename CP>
+void do_conv(buffer<float, 2> in, buffer<float, 2> out, CP coeff_provider) {
+  queue myQueue;
+
+  myQueue.submit([&](handler &cgh) {
+    auto in_acc = in.template get_access<access::mode::read>(cgh);
+    auto out_acc = out.template get_access<access::mode::write>(cgh);
+
+    // Set the coefficient of the convolution as constant.
+    // This will build a specific kernel the coefficient available as literals.
+    cgh.set_specialization_constant<coeff_id>(get_coefficients<coeff_t>());
+    cgh.set_specialization_constant<coeff_struct_id>(
+        get_coefficients<coeff_struct_t>());
+    cgh.set_specialization_constant<coeff_struct_aligned_id>(
+        get_coefficients<coeff_struct_aligned_t>());
+    cgh.set_specialization_constant<coeff_struct_aligned_id2>(
+        get_coefficients<coeff_struct_aligned2_t>());
+    cgh.parallel_for<KernelName>(
+        in.get_range(), [=](item<2> item_id, kernel_handler h) {
+          auto coeff = coeff_provider(h);
+          out_acc[item_id] = calc_conv(coeff, in_acc, item_id);
+        });
+  });
+
+  myQueue.wait();
+}
+
+constexpr size_t N = 5;
+constexpr size_t M = 4;
+
+constexpr std::array<std::array<float, M>, N> expected = {
+    {{17.1, 30.1, 43.0, 24.3},
+     {41.3, 63.9, 82.8, 45.5},
+     {72.5, 101.7, 120.6, 64.7},
+     {103.7, 139.5, 158.4, 83.9},
+     {77.7, 102.7, 115.0, 60.1}}};
+
+template <typename Result, typename Expected>
+void compare_result(const Result &result, const Expected &expected) {
+  for (size_t i = 0; i < N; i++) {
+    for (size_t j = 0; j < M; j++) {
+      if (std::abs(result[i][j] - expected[i][j]) > 0.1) {
+        std::cout << "Wrong value " << result[i][j] << " on element " << i
+                  << ", " << j << std::endl;
+        exit(-1);
+      }
+    }
+  }
+}
+
+int main() {
+
+  buffer<float, 2> input{range<2>{N, M}};
+  buffer<float, 2> output{range<2>{N, M}};
+
+  // Launch an asynchronous kernel to initialize input
+  queue myQueue;
+  myQueue.submit([&](handler &cgh) {
+    accessor input_acc{input, cgh, write_only};
+
+    cgh.parallel_for(input.get_range(), [=](id<2> index) {
+      input_acc[index] = index[0] * 2 + index[1];
+    });
+  });
+
+  do_conv<class Convolution1>(input, output, [](kernel_handler &h) {
+    return h.get_specialization_constant<coeff_id>();
+  });
+
+  compare_result(host_accessor{output, read_only}, expected);
+
+  do_conv<class Convolution2>(input, output, [](kernel_handler &h) {
+    return h.get_specialization_constant<coeff_struct_id>().c;
+  });
+
+  compare_result(host_accessor{output, read_only}, expected);
+
+  do_conv<class Convolution3>(input, output, [](kernel_handler &h) {
+    return h.get_specialization_constant<coeff_struct_aligned_id>().c;
+  });
+
+  compare_result(host_accessor{output, read_only}, expected);
+
+  do_conv<class Convolution4>(input, output, [](kernel_handler &h) {
+    return h.get_specialization_constant<coeff_struct_aligned_id2>().c;
+  });
+
+  compare_result(host_accessor{output, read_only}, expected);
+
+  std::cout << "Good computation!" << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/attributes.cpp b/sycl/test-e2e/SubGroup/attributes.cpp
new file mode 100644
index 0000000000000..decba6d7e2a8c
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/attributes.cpp
@@ -0,0 +1,158 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//==------- attributes.cpp - SYCL sub_group attributes test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+
+#include <sycl/sycl.hpp>
+
+#define KERNEL_FUNCTOR_WITH_SIZE(SIZE)                                         \
+  class KernelFunctor##SIZE {                                                  \
+  public:                                                                      \
+    [[intel::reqd_sub_group_size(SIZE)]] void                                  \
+    operator()(sycl::nd_item<1> Item) const {                                  \
+      const auto GID = Item.get_global_id();                                   \
+    }                                                                          \
+  };
+
+KERNEL_FUNCTOR_WITH_SIZE(1);
+KERNEL_FUNCTOR_WITH_SIZE(2);
+KERNEL_FUNCTOR_WITH_SIZE(4);
+KERNEL_FUNCTOR_WITH_SIZE(8);
+KERNEL_FUNCTOR_WITH_SIZE(16);
+KERNEL_FUNCTOR_WITH_SIZE(32);
+KERNEL_FUNCTOR_WITH_SIZE(64);
+
+#undef KERNEL_FUNCTOR_WITH_SIZE
+
+inline uint32_t flp2(uint32_t X) {
+  X = X | (X >> 1);
+  X = X | (X >> 2);
+  X = X | (X >> 4);
+  X = X | (X >> 8);
+  X = X | (X >> 16);
+  return X - (X >> 1);
+}
+
+template <typename Fn> inline void submit(sycl::queue &Q) {
+  Q.submit([](sycl::handler &cgh) {
+    Fn F;
+    cgh.parallel_for(sycl::nd_range<1>{64, 16}, F);
+  });
+}
+
+int main() {
+  queue Queue;
+  device Device = Queue.get_device();
+
+  // According to specification, this kernel query requires `cl_khr_subgroups`
+  // or `cl_intel_subgroups`, and also `cl_intel_required_subgroup_size`
+  auto Vec = Device.get_info<info::device::extensions>();
+  if (std::find(Vec.begin(), Vec.end(), "cl_intel_subgroups") ==
+              std::end(Vec) &&
+          std::find(Vec.begin(), Vec.end(), "cl_khr_subgroups") ==
+              std::end(Vec) ||
+      std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") ==
+          std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  try {
+    const auto SGSizes = Device.get_info<info::device::sub_group_sizes>();
+
+    for (const auto SGSize : SGSizes) {
+      // Get the previous power of 2
+      auto ReqdSize = flp2(SGSize);
+
+      std::cout << "Run for " << ReqdSize << " required workgroup size.\n";
+
+      // Store the `sycl::kernel` into a vector because `sycl::kernel`
+      // doesn't have default constructor
+      std::vector<sycl::kernel> TheKernel;
+
+      switch (ReqdSize) {
+      case 64: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor64>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor64>(Queue);
+        break;
+      }
+      case 32: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor32>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor32>(Queue);
+        break;
+      }
+      case 16: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor16>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor16>(Queue);
+        break;
+      }
+      case 8: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor8>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor8>(Queue);
+        break;
+      }
+      case 4: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor4>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor4>(Queue);
+        break;
+      }
+      case 2: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor2>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor2>(Queue);
+        break;
+      }
+      case 1: {
+        auto KernelID = sycl::get_kernel_id<KernelFunctor1>();
+        auto KB = sycl::get_kernel_bundle<sycl::bundle_state::executable>(
+            Queue.get_context(), {KernelID});
+        TheKernel.push_back(KB.get_kernel(KernelID));
+        submit<KernelFunctor1>(Queue);
+        break;
+      }
+      default:
+        throw feature_not_supported("sub-group size is not supported",
+                                    PI_ERROR_INVALID_OPERATION);
+      }
+
+      auto Kernel = TheKernel[0];
+
+      auto Res = Kernel.get_info<
+          sycl::info::kernel_device_specific::compile_sub_group_size>(Device);
+
+      exit_if_not_equal<size_t>(Res, ReqdSize, "compile_sub_group_size");
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  std::cout << "Test passed.\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/barrier.cpp b/sycl/test-e2e/SubGroup/barrier.cpp
new file mode 100644
index 0000000000000..5334d6633f0cf
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/barrier.cpp
@@ -0,0 +1,95 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==---------- barrier.cpp - SYCL sub_group barrier test -------*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <limits>
+#include <numeric>
+#include <sycl/sycl.hpp>
+
+template <typename T, bool UseNewSyntax> class sycl_subgr;
+using namespace sycl;
+template <typename T, bool UseNewSyntax = false>
+void check(queue &Queue, size_t G = 240, size_t L = 60) {
+  try {
+    nd_range<1> NdRange(G, L);
+    std::vector<T> data(G);
+    std::iota(data.begin(), data.end(), sizeof(T));
+    buffer<T> addbuf(data.data(), range<1>(G));
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto addacc = addbuf.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for<sycl_subgr<T, UseNewSyntax>>(
+          NdRange, [=](nd_item<1> NdItem) {
+            ext::oneapi::sub_group SG = NdItem.get_sub_group();
+            size_t lid = SG.get_local_id().get(0);
+            size_t gid = NdItem.get_global_id(0);
+            size_t SGoff = gid - lid;
+
+            T res = 0;
+            for (size_t i = 0; i <= lid; i++) {
+              res += addacc[SGoff + i];
+            }
+            if constexpr (UseNewSyntax) {
+              group_barrier(SG);
+            } else {
+              SG.barrier(access::fence_space::global_space);
+            }
+            addacc[gid] = res;
+            if (NdItem.get_global_id(0) == 0)
+              sgsizeacc[0] = SG.get_max_local_range()[0];
+          });
+    });
+    auto addacc = addbuf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+
+    size_t sg_size = sgsizeacc[0];
+    int WGid = -1, SGid = 0;
+    T add = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        add = 0;
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      add += j + sizeof(T);
+      exit_if_not_equal<T>(addacc[j], add, "barrier");
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+int main() {
+  queue Queue;
+  check<int>(Queue);
+  check<unsigned int>(Queue);
+  check<long>(Queue);
+  check<unsigned long>(Queue);
+  check<float>(Queue);
+  check<int, true>(Queue);
+  check<unsigned int, true>(Queue);
+  check<long, true>(Queue);
+  check<unsigned long, true>(Queue);
+  check<float, true>(Queue);
+  if (Queue.get_device().has(sycl::aspect::fp64)) {
+    check<double>(Queue);
+    check<double, true>(Queue);
+  }
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/broadcast.cpp b/sycl/test-e2e/SubGroup/broadcast.cpp
new file mode 100644
index 0000000000000..96125eefdf912
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/broadcast.cpp
@@ -0,0 +1,25 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------- broadcast.cpp - SYCL sub_group broadcast test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "broadcast.hpp"
+
+int main() {
+  queue Queue;
+  check<int>(Queue);
+  check<unsigned int>(Queue);
+  check<long>(Queue);
+  check<unsigned long>(Queue);
+  check<float>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/broadcast.hpp b/sycl/test-e2e/SubGroup/broadcast.hpp
new file mode 100644
index 0000000000000..b707322a06b43
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/broadcast.hpp
@@ -0,0 +1,55 @@
+//==--------- broadcast.hpp - SYCL sub_group broadcast test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+template <typename T> class sycl_subgr;
+using namespace sycl;
+template <typename T> void check(queue &Queue) {
+  const int G = 256, L = 64;
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> syclbuf(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto syclacc = syclbuf.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<sycl_subgr<T>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        /*Broadcast GID of element with SGLID == SGID % SGMLR*/
+        syclacc[NdItem.get_global_id()] = ext::oneapi::broadcast(
+            SG, T(NdItem.get_global_id(0)),
+            SG.get_group_id() % SG.get_max_local_range()[0]);
+        if (NdItem.get_global_id(0) == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+      });
+    });
+    auto syclacc = syclbuf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    size_t sg_size = sgsizeacc[0];
+    if (sg_size == 0)
+      sg_size = L;
+    int WGid = -1, SGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      exit_if_not_equal<T>(syclacc[j],
+                           L * WGid + SGid % sg_size + SGid * sg_size,
+                           "broadcasted value");
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
diff --git a/sycl/test-e2e/SubGroup/broadcast_fp16.cpp b/sycl/test-e2e/SubGroup/broadcast_fp16.cpp
new file mode 100644
index 0000000000000..4e2a35f660f87
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/broadcast_fp16.cpp
@@ -0,0 +1,24 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==---- broadcast_fp16.cpp - SYCL sub_group broadcast test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "broadcast.hpp"
+
+int main() {
+  queue Queue;
+  if (Queue.get_device().has(sycl::aspect::fp16)) {
+    check<sycl::half>(Queue);
+    std::cout << "Test passed." << std::endl;
+  } else {
+    std::cout << "Test skipped because device doesn't support aspect::fp16"
+              << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/broadcast_fp64.cpp b/sycl/test-e2e/SubGroup/broadcast_fp64.cpp
new file mode 100644
index 0000000000000..a7762706904a7
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/broadcast_fp64.cpp
@@ -0,0 +1,26 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==----- broadcast_fp64.cpp - SYCL sub_group broadcast test ----*- C++ -*--==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "broadcast.hpp"
+
+int main() {
+  queue Queue;
+  if (Queue.get_device().has(sycl::aspect::fp64)) {
+    check<double>(Queue);
+    std::cout << "Test passed." << std::endl;
+  } else {
+    std::cout << "Test skipped because device doesn't support aspect::fp64"
+              << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/common.cpp b/sycl/test-e2e/SubGroup/common.cpp
new file mode 100644
index 0000000000000..362c0519dc2ea
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/common.cpp
@@ -0,0 +1,77 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==-------------- common.cpp - SYCL sub_group common test -----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <sycl/sycl.hpp>
+using namespace sycl;
+struct Data {
+  unsigned int local_id;
+  unsigned int local_range;
+  unsigned int max_local_range;
+  unsigned int group_id;
+  unsigned int group_range;
+};
+
+void check(queue &Queue, unsigned int G, unsigned int L) {
+
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<struct Data, 1> syclbuf(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      auto syclacc = syclbuf.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class sycl_subgr>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        syclacc[NdItem.get_global_id()].local_id = SG.get_local_id().get(0);
+        syclacc[NdItem.get_global_id()].local_range =
+            SG.get_local_range().get(0);
+        syclacc[NdItem.get_global_id()].max_local_range =
+            SG.get_max_local_range().get(0);
+        syclacc[NdItem.get_global_id()].group_id = SG.get_group_id().get(0);
+        syclacc[NdItem.get_global_id()].group_range =
+            SG.get_group_range().get(0);
+        if (NdItem.get_global_id(0) == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+      });
+    });
+    auto syclacc = syclbuf.get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    unsigned int sg_size = sgsizeacc[0];
+    unsigned int num_sg = L / sg_size + (L % sg_size ? 1 : 0);
+    for (int j = 0; j < G; j++) {
+      unsigned int group_id = j % L / sg_size;
+      unsigned int local_range =
+          (group_id + 1 == num_sg) ? (L - group_id * sg_size) : sg_size;
+      exit_if_not_equal(syclacc[j].local_id, j % L % sg_size, "local_id");
+      exit_if_not_equal(syclacc[j].local_range, local_range, "local_range");
+      exit_if_not_equal(syclacc[j].max_local_range, syclacc[0].max_local_range,
+                        "max_local_range");
+      exit_if_not_equal(syclacc[j].group_id, group_id, "group_id");
+      exit_if_not_equal(syclacc[j].group_range, num_sg, "group_range");
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+int main() {
+  queue Queue;
+
+  check(Queue, 240, 80);
+  check(Queue, 8, 4);
+  check(Queue, 24, 12);
+  check(Queue, 1024, 256);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/generic-shuffle.cpp b/sycl/test-e2e/SubGroup/generic-shuffle.cpp
new file mode 100644
index 0000000000000..76be56ef3e1b9
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/generic-shuffle.cpp
@@ -0,0 +1,242 @@
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==-- generic_shuffle.cpp - SYCL sub_group generic shuffle test *- C++ -*--==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <algorithm>
+#include <complex>
+#include <sycl/sycl.hpp>
+#include <vector>
+template <typename T> class pointer_kernel;
+
+using namespace sycl;
+
+template <typename SpecializationKernelName, typename T>
+void check_pointer(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T *> buf(G);
+    buffer<T *> buf_up(G);
+    buffer<T *> buf_down(G);
+    buffer<T *> buf_xor(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      auto acc_up = buf_up.template get_access<access::mode::read_write>(cgh);
+      auto acc_down =
+          buf_down.template get_access<access::mode::read_write>(cgh);
+      auto acc_xor = buf_xor.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for<SpecializationKernelName>(
+          NdRange, [=](nd_item<1> NdItem) {
+            ext::oneapi::sub_group SG = NdItem.get_sub_group();
+            uint32_t wggid = NdItem.get_global_id(0);
+            uint32_t sgid = SG.get_group_id().get(0);
+            if (wggid == 0)
+              sgsizeacc[0] = SG.get_max_local_range()[0];
+
+            T *ptr = static_cast<T *>(0x0) + wggid;
+
+            /*GID of middle element in every subgroup*/
+            acc[NdItem.get_global_id()] =
+                SG.shuffle(ptr, SG.get_max_local_range()[0] / 2);
+
+            /* Save GID-SGID */
+            acc_up[NdItem.get_global_id()] = SG.shuffle_up(ptr, sgid);
+
+            /* Save GID+SGID */
+            acc_down[NdItem.get_global_id()] = SG.shuffle_down(ptr, sgid);
+
+            /* Save GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+            acc_xor[NdItem.get_global_id()] =
+                SG.shuffle_xor(ptr, sgid % SG.get_max_local_range()[0]);
+          });
+    });
+    auto acc = buf.template get_access<access::mode::read_write>();
+    auto acc_up = buf_up.template get_access<access::mode::read_write>();
+    auto acc_down = buf_down.template get_access<access::mode::read_write>();
+    auto acc_xor = buf_xor.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+
+      /*GID of middle element in every subgroup*/
+      exit_if_not_equal(acc[j],
+                        static_cast<T *>(0x0) +
+                            (j / L * L + SGid * sg_size + sg_size / 2),
+                        "shuffle");
+
+      /* Value GID+SGID for all element except last SGID in SG*/
+      if (j % L % sg_size + SGid < sg_size && j % L + SGid < L) {
+        exit_if_not_equal(acc_down[j], static_cast<T *>(0x0) + (j + SGid),
+                          "shuffle_down");
+      }
+
+      /* Value GID-SGID for all element except first SGID in SG*/
+      if (j % L % sg_size >= SGid) {
+        exit_if_not_equal(acc_up[j], static_cast<T *>(0x0) + (j - SGid),
+                          "shuffle_up");
+      }
+
+      /* Value GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+      exit_if_not_equal(acc_xor[j],
+                        static_cast<T *>(0x0) +
+                            (SGBeginGid + (SGLid ^ (SGid % sg_size))),
+                        "shuffle_xor");
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+template <typename SpecializationKernelName, typename T, typename Generator>
+void check_struct(queue &Queue, Generator &Gen, size_t G = 256, size_t L = 64) {
+
+  // Fill a vector with values that will be shuffled
+  std::vector<T> values(G);
+  std::generate(values.begin(), values.end(), Gen);
+
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> buf(G);
+    buffer<T> buf_up(G);
+    buffer<T> buf_down(G);
+    buffer<T> buf_xor(G);
+    buffer<size_t> sgsizebuf(1);
+    buffer<T> buf_in(values.data(), values.size());
+    Queue.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      auto acc_up = buf_up.template get_access<access::mode::read_write>(cgh);
+      auto acc_down =
+          buf_down.template get_access<access::mode::read_write>(cgh);
+      auto acc_xor = buf_xor.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      auto in = buf_in.template get_access<access::mode::read>(cgh);
+
+      cgh.parallel_for<SpecializationKernelName>(
+          NdRange, [=](nd_item<1> NdItem) {
+            ext::oneapi::sub_group SG = NdItem.get_sub_group();
+            uint32_t wggid = NdItem.get_global_id(0);
+            uint32_t sgid = SG.get_group_id().get(0);
+            if (wggid == 0)
+              sgsizeacc[0] = SG.get_max_local_range()[0];
+
+            T val = in[wggid];
+
+            /*GID of middle element in every subgroup*/
+            acc[NdItem.get_global_id()] =
+                SG.shuffle(val, SG.get_max_local_range()[0] / 2);
+
+            /* Save GID-SGID */
+            acc_up[NdItem.get_global_id()] = SG.shuffle_up(val, sgid);
+
+            /* Save GID+SGID */
+            acc_down[NdItem.get_global_id()] = SG.shuffle_down(val, sgid);
+
+            /* Save GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+            acc_xor[NdItem.get_global_id()] =
+                SG.shuffle_xor(val, sgid % SG.get_max_local_range()[0]);
+          });
+    });
+    auto acc = buf.template get_access<access::mode::read_write>();
+    auto acc_up = buf_up.template get_access<access::mode::read_write>();
+    auto acc_down = buf_down.template get_access<access::mode::read_write>();
+    auto acc_xor = buf_xor.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+
+      /*GID of middle element in every subgroup*/
+      exit_if_not_equal(
+          acc[j], values[j / L * L + SGid * sg_size + sg_size / 2], "shuffle");
+
+      /* Value GID+SGID for all element except last SGID in SG*/
+      if (j % L % sg_size + SGid < sg_size && j % L + SGid < L) {
+        exit_if_not_equal(acc_down[j], values[j + SGid], "shuffle_down");
+      }
+
+      /* Value GID-SGID for all element except first SGID in SG*/
+      if (j % L % sg_size >= SGid) {
+        exit_if_not_equal(acc_up[j], values[j - SGid], "shuffle_up");
+      }
+
+      /* Value GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+      exit_if_not_equal(acc_xor[j],
+                        values[SGBeginGid + (SGLid ^ (SGid % sg_size))],
+                        "shuffle_xor");
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+int main() {
+  queue Queue;
+
+  // Test shuffle of pointer types
+  check_pointer<class KernelName_mNiN, int>(Queue);
+
+  // Test shuffle of non-native types
+  auto ComplexFloatGenerator = [state = std::complex<float>(0, 1)]() mutable {
+    return state += std::complex<float>(2, 2);
+  };
+  check_struct<class KernelName_zHfIPOLOFsXiZiCvG, std::complex<float>>(
+      Queue, ComplexFloatGenerator);
+
+  if (Queue.get_device().has(sycl::aspect::fp64)) {
+    auto ComplexDoubleGenerator = [state =
+                                       std::complex<double>(0, 1)]() mutable {
+      return state += std::complex<double>(2, 2);
+    };
+    check_struct<class KernelName_CjlHUmnuxWtyejZFD, std::complex<double>>(
+        Queue, ComplexDoubleGenerator);
+  } else {
+    std::cout << "fp64 tests were skipped due to the device not supporting the "
+                 "aspect.";
+  }
+
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/generic_reduce.cpp b/sycl/test-e2e/SubGroup/generic_reduce.cpp
new file mode 100644
index 0000000000000..f70c98a87c66a
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/generic_reduce.cpp
@@ -0,0 +1,91 @@
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include "helper.hpp"
+#include <complex>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T, class BinaryOperation>
+void check_op(queue &Queue, T init, BinaryOperation op, bool skip_init = false,
+              size_t G = 240, size_t L = 60) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> buf(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group sg = NdItem.get_sub_group();
+        if (skip_init) {
+          acc[NdItem.get_global_id(0)] =
+              ext::oneapi::reduce(sg, T(NdItem.get_global_id(0)), op);
+        } else {
+          acc[NdItem.get_global_id(0)] =
+              ext::oneapi::reduce(sg, T(NdItem.get_global_id(0)), init, op);
+        }
+        if (NdItem.get_global_id(0) == 0)
+          sgsizeacc[0] = sg.get_max_local_range()[0];
+      });
+    });
+    auto acc = buf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    size_t sg_size = sgsizeacc[0];
+    int WGid = -1, SGid = 0;
+    T result = init;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        result = init;
+        for (int i = j; (i % L && i % L % sg_size) || (i == j); i++) {
+          result = op(result, T(i));
+        }
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      std::string name =
+          std::string("reduce_") + typeid(BinaryOperation).name();
+      exit_if_not_equal(acc[j], result, name.c_str());
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+int main() {
+  queue Queue;
+  auto Vec = Queue.get_device().get_info<info::device::extensions>();
+  if (std::find(Vec.begin(), Vec.end(), "cl_intel_subgroups") ==
+      std::end(Vec)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  size_t G = 240;
+  size_t L = 60;
+
+  // Test user-defined type
+  // Use complex as a proxy for this
+  using UDT = std::complex<float>;
+  check_op<UDT>(Queue, UDT(L, L), ext::oneapi::plus<UDT>(), false, G, L);
+  check_op<UDT>(Queue, UDT(0, 0), ext::oneapi::plus<UDT>(), true, G, L);
+
+  // Test user-defined operator
+  auto UDOp = [=](const auto &lhs, const auto &rhs) { return lhs + rhs; };
+  check_op<int>(Queue, int(L), UDOp, false, G, L);
+  check_op<int>(Queue, int(0), UDOp, true, G, L);
+
+  // Test both user-defined type and operator
+  check_op<UDT>(Queue, UDT(L, L), UDOp, false, G, L);
+  check_op<UDT>(Queue, UDT(0, 0), UDOp, true, G, L);
+
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/helper.hpp b/sycl/test-e2e/SubGroup/helper.hpp
new file mode 100644
index 0000000000000..5c45a28978a80
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/helper.hpp
@@ -0,0 +1,173 @@
+//==---------- helper.hpp - SYCL sub_group helper functions ----------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <bitset>
+#include <cmath>
+#include <complex>
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T1, int N> struct utils {
+  static T1 add_vec(const vec<T1, N> &v);
+  static bool cmp_vec(const vec<T1, N> &v, const vec<T1, N> &r);
+  static std::string stringify_vec(const vec<T1, N> &v);
+};
+template <typename T2> struct utils<T2, 1> {
+  static T2 add_vec(const vec<T2, 1> &v) { return v.s0(); }
+  static bool cmp_vec(const vec<T2, 1> &v, const vec<T2, 1> &r) {
+    return v.s0() == r.s0();
+  }
+  static std::string stringify_vec(const vec<T2, 1> &v) {
+    return std::to_string((T2)v.s0());
+  }
+};
+template <typename T2> struct utils<T2, 2> {
+  static T2 add_vec(const vec<T2, 2> &v) { return v.s0() + v.s1(); }
+  static bool cmp_vec(const vec<T2, 2> &v, const vec<T2, 2> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1();
+  }
+  static std::string stringify_vec(const vec<T2, 2> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + " )";
+  }
+};
+template <typename T2> struct utils<T2, 3> {
+  static T2 add_vec(const vec<T2, 3> &v) { return v.s0() + v.s1() + v.s2(); }
+  static bool cmp_vec(const vec<T2, 3> &v, const vec<T2, 3> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2();
+  }
+  static std::string stringify_vec(const vec<T2, 2> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + ", " + std::to_string((T2)v.s3()) +
+           " )";
+  }
+};
+template <typename T2> struct utils<T2, 4> {
+  static T2 add_vec(const vec<T2, 4> &v) {
+    return v.s0() + v.s1() + v.s2() + v.s3();
+  }
+  static bool cmp_vec(const vec<T2, 4> &v, const vec<T2, 4> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2() &&
+           v.s3() == r.s3();
+  }
+  static std::string stringify_vec(const vec<T2, 4> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + std::to_string((T2)v.s2()) + ", " +
+           std::to_string((T2)v.s3()) + " )";
+  }
+};
+template <typename T2> struct utils<T2, 8> {
+  static T2 add_vec(const vec<T2, 8> &v) {
+    return v.s0() + v.s1() + v.s2() + v.s3() + v.s4() + v.s5() + v.s6() +
+           v.s7();
+  }
+  static bool cmp_vec(const vec<T2, 8> &v, const vec<T2, 8> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2() &&
+           v.s3() == r.s3() && v.s4() == r.s4() && v.s5() == r.s5() &&
+           v.s6() == r.s6() && v.s7() == r.s7();
+  }
+  static std::string stringify_vec(const vec<T2, 8> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + std::to_string((T2)v.s2()) + ", " +
+           std::to_string((T2)v.s3()) + std::to_string((T2)v.s4()) + ", " +
+           std::to_string((T2)v.s5()) + std::to_string((T2)v.s6()) + ", " +
+           std::to_string((T2)v.s7()) + " )";
+  }
+};
+
+template <typename T2> struct utils<T2, 16> {
+  static T2 add_vec(const vec<T2, 16> &v) {
+    return v.s0() + v.s1() + v.s2() + v.s3() + v.s4() + v.s5() + v.s6() +
+           v.s7() + v.s8() + v.s9() + v.sA() + v.sB() + v.sC() + v.sD() +
+           v.sE() + v.sF();
+  }
+  static bool cmp_vec(const vec<T2, 16> &v, const vec<T2, 16> &r) {
+    return v.s0() == r.s0() && v.s1() == r.s1() && v.s2() == r.s2() &&
+           v.s3() == r.s3() && v.s4() == r.s4() && v.s5() == r.s5() &&
+           v.s6() == r.s6() && v.s7() == r.s7() && v.s8() == r.s8() &&
+           v.s9() == r.s9() && v.sA() == r.sA() && v.sB() == r.sB() &&
+           v.sC() == r.sC() && v.sD() == r.sD() && v.sE() == r.sE() &&
+           v.sF() == r.sF();
+  }
+  static std::string stringify_vec(const vec<T2, 16> &v) {
+    return std::string("(") + std::to_string((T2)v.s0()) + ", " +
+           std::to_string((T2)v.s1()) + std::to_string((T2)v.s2()) + ", " +
+           std::to_string((T2)v.s3()) + std::to_string((T2)v.s4()) + ", " +
+           std::to_string((T2)v.s5()) + std::to_string((T2)v.s6()) + ", " +
+           std::to_string((T2)v.s7()) + std::to_string((T2)v.s8()) + ", " +
+           std::to_string((T2)v.s9()) + std::to_string((T2)v.sA()) + ", " +
+           std::to_string((T2)v.sB()) + std::to_string((T2)v.sC()) + ", " +
+           std::to_string((T2)v.sE()) + std::to_string((T2)v.sD()) + ", " +
+           std::to_string((T2)v.sF()) + " )";
+  }
+};
+
+template <typename T> void exit_if_not_equal(T val, T ref, const char *name) {
+  if (std::is_floating_point<T>::value) {
+    auto cmp_val = std::bitset<CHAR_BIT * sizeof(T)>(val);
+    auto cmp_ref = std::bitset<CHAR_BIT * sizeof(T)>(ref);
+    if (cmp_val != cmp_ref) {
+      std::cout << "Unexpected result for " << name << ": " << val << "("
+                << cmp_val << ") expected value: " << ref << "(" << cmp_ref
+                << ")" << std::endl;
+      exit(1);
+    }
+  } else {
+    if ((val - ref) != 0) {
+      std::cout << "Unexpected result for " << name << ": " << (long)val
+                << " expected value: " << (long)ref << std::endl;
+      exit(1);
+    }
+  }
+}
+
+template <typename T>
+void exit_if_not_equal(std::complex<T> val, std::complex<T> ref,
+                       const char *name) {
+  std::string Name{name};
+  exit_if_not_equal(val.real(), ref.real(), (Name + ".real()").c_str());
+  exit_if_not_equal(val.imag(), ref.imag(), (Name + ".imag()").c_str());
+}
+
+template <typename T> void exit_if_not_equal(T *val, T *ref, const char *name) {
+  if ((val - ref) != 0) {
+    std::cout << "Unexpected result for " << name << ": " << val
+              << " expected value: " << ref << std::endl;
+    exit(1);
+  }
+}
+
+template <> void exit_if_not_equal(half val, half ref, const char *name) {
+  int16_t cmp_val = reinterpret_cast<int16_t &>(val);
+  int16_t cmp_ref = reinterpret_cast<int16_t &>(ref);
+  if (std::abs(cmp_val - cmp_ref) > 2) {
+    std::cout << "Unexpected result for " << name << ": " << (float)val
+              << " expected value: " << (float)ref << std::endl;
+    exit(1);
+  }
+}
+
+template <typename T, int N>
+void exit_if_not_equal_vec(vec<T, N> val, vec<T, N> ref, const char *name) {
+  if (!utils<T, N>::cmp_vec(ref, val)) {
+    std::cout << "Unexpected result for " << name << ": "
+              << utils<T, N>::stringify_vec(val)
+              << " expected value: " << utils<T, N>::stringify_vec(ref)
+              << std::endl;
+
+    exit(1);
+  }
+}
+
+bool core_sg_supported(const device &Device) {
+  auto Vec = Device.get_info<info::device::extensions>();
+  if (std::find(Vec.begin(), Vec.end(), "cl_khr_subgroups") != std::end(Vec))
+    return true;
+  return Device.get_info<info::device::version>() >= "2.1";
+}
diff --git a/sycl/test-e2e/SubGroup/info.cpp b/sycl/test-e2e/SubGroup/info.cpp
new file mode 100644
index 0000000000000..f2063ca7cb7b6
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/info.cpp
@@ -0,0 +1,109 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+//==------------- info.cpp - SYCL sub_group parameters test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <sycl/sycl.hpp>
+class kernel_sg;
+using namespace sycl;
+
+int main() {
+  queue Queue;
+  device Device = Queue.get_device();
+
+  /* Basic sub-group functionality is supported as part of cl_khr_subgroups
+   * extension or as core OpenCL 2.1 feature. */
+  if (!core_sg_supported(Device)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  /* Check info::device parameters. */
+  Device.get_info<info::device::sub_group_independent_forward_progress>();
+  Device.get_info<info::device::max_num_sub_groups>();
+
+  try {
+    size_t max_wg_size = Device.get_info<info::device::max_work_group_size>();
+    auto KernelID = get_kernel_id<kernel_sg>();
+    auto KB = get_kernel_bundle<bundle_state::executable>(Queue.get_context(),
+                                                          {KernelID});
+    auto Kernel = KB.get_kernel(KernelID);
+    range<2> GlobalRange{50, 40};
+
+    buffer<float, 2> ABuf{GlobalRange}, BBuf{GlobalRange}, CBuf{GlobalRange};
+
+    Queue.submit([&](sycl::handler &cgh) {
+      auto A = ABuf.get_access<access::mode::read_write>(cgh);
+      auto B = BBuf.get_access<access::mode::read>(cgh);
+      auto C = CBuf.get_access<access::mode::read>(cgh);
+      cgh.parallel_for<kernel_sg>(
+          nd_range<2>(GlobalRange, range<2>(10, 20)), [=](nd_item<2> index) {
+            const id<2> GlobalID = index.get_global_id();
+            A[GlobalID] = B[GlobalID] * C[GlobalID];
+          });
+    });
+    uint32_t Res = 0;
+
+    /* sub_group_sizes can be queried only if cl_intel_required_subgroup_size
+     * extension is supported by device*/
+    auto Vec = Device.get_info<info::device::extensions>();
+    if (std::find(Vec.begin(), Vec.end(), "cl_intel_required_subgroup_size") !=
+        std::end(Vec)) {
+      auto sg_sizes = Device.get_info<info::device::sub_group_sizes>();
+
+      // Max sub-group size for a particular kernel might not be the max
+      // supported size on the device in general. Can only check that it is
+      // contained in list of valid sizes.
+      Res = Kernel.get_info<info::kernel_device_specific::max_sub_group_size>(
+          Device);
+      bool Expected =
+          std::find(sg_sizes.begin(), sg_sizes.end(), Res) != sg_sizes.end();
+      exit_if_not_equal<bool>(Expected, true, "max_sub_group_size");
+
+      for (auto r : {range<3>(3, 4, 5), range<3>(1, 1, 1), range<3>(4, 2, 1),
+                     range<3>(32, 3, 4), range<3>(7, 9, 11)}) {
+        Res = Kernel.get_info<info::kernel_device_specific::max_sub_group_size>(
+            Device, r);
+        Expected =
+            std::find(sg_sizes.begin(), sg_sizes.end(), Res) != sg_sizes.end();
+        exit_if_not_equal<bool>(Expected, true, "max_sub_group_size");
+      }
+    }
+
+    Res = Kernel.get_info<info::kernel_device_specific::compile_num_sub_groups>(
+        Device);
+
+    /* Sub-group size is not specified in kernel or IL*/
+    exit_if_not_equal<uint32_t>(Res, 0, "compile_num_sub_groups");
+
+    // According to specification, this kernel query requires `cl_khr_subgroups`
+    // or `cl_intel_subgroups`
+    if ((std::find(Vec.begin(), Vec.end(), "cl_khr_subgroups") !=
+         std::end(Vec)) ||
+        std::find(Vec.begin(), Vec.end(), "cl_intel_subgroups") !=
+                std::end(Vec) &&
+            std::find(Vec.begin(), Vec.end(),
+                      "cl_intel_required_subgroup_size") != std::end(Vec)) {
+      Res =
+          Kernel.get_info<info::kernel_device_specific::compile_sub_group_size>(
+              Device);
+
+      /* Required sub-group size is not specified in kernel or IL*/
+      exit_if_not_equal<uint32_t>(Res, 0, "compile_sub_group_size");
+    }
+
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    return 1;
+  }
+
+  std::cout << "Test passed.\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/load_store.cpp b/sycl/test-e2e/SubGroup/load_store.cpp
new file mode 100644
index 0000000000000..afe4202166a6d
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/load_store.cpp
@@ -0,0 +1,287 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_SubgroupBlockReadINTEL, __spirv_SubgroupBlockWriteINTEL on
+// AMD
+// XFAIL: hip_amd
+//
+//==----------- load_store.cpp - SYCL sub_group load/store test ------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <sycl/sycl.hpp>
+
+#include <algorithm>
+
+template <typename T, int N> class sycl_subgr;
+
+using namespace sycl;
+
+template <typename T, int N> void check(queue &Queue) {
+  const int G = 512, L = 256;
+
+  auto sg_sizes = Queue.get_device().get_info<info::device::sub_group_sizes>();
+  size_t max_sg_size = *std::max_element(sg_sizes.begin(), sg_sizes.end());
+
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> syclbuf(G + max_sg_size * N);
+    buffer<size_t> sgsizebuf(1);
+    {
+      auto acc = syclbuf.template get_access<access::mode::read_write>();
+      for (int i = 0; i < G; i++) {
+        acc[i] = i;
+        acc[i] += 0.25; // Check that floating point types are not casted to int
+      }
+    }
+    Queue.submit([&](handler &cgh) {
+      auto acc = syclbuf.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      local_accessor<T, 1> LocalMem({L + max_sg_size * N}, cgh);
+      cgh.parallel_for<sycl_subgr<T, N>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        auto SGid = SG.get_group_id().get(0);
+        auto SGsize = SG.get_max_local_range().get(0);
+        /* Avoid overlapping data ranges inside and between local groups */
+        if (SGid % N == 0 && (SGid + N) * SGsize <= L) {
+          size_t SGOffset = SGid * SGsize;
+          size_t WGSGoffset = NdItem.get_group(0) * L + SGOffset;
+          auto mp = address_space_cast<access::address_space::global_space,
+                                       sycl::access::decorated::yes>(
+              &acc[WGSGoffset]);
+          auto MPL = address_space_cast<access::address_space::local_space,
+                                        sycl::access::decorated::yes>(
+              &LocalMem[SGOffset]);
+
+          // half does not have full support for volatile type qualifier
+          using CVT = std::conditional_t<std::is_same_v<T, half>, const T,
+                                         const volatile T>;
+
+          multi_ptr<CVT, mp.address_space, sycl::access::decorated::yes> mp_cv(
+              mp);
+          multi_ptr<CVT, MPL.address_space, sycl::access::decorated::yes>
+              MPL_CV(MPL);
+          // Add all values in read block
+          vec<T, N> v(SG.load<N, T>(mp));
+          vec<T, N> v_cv(SG.load<N, CVT>(mp_cv));
+          if (utils<T, N>::cmp_vec(
+                  v, v_cv)) // Store result only if same for non-cv and cv
+            SG.store<N, T>(MPL, v);
+          vec<T, N> t(utils<T, N>::add_vec(SG.load<N, T>(MPL)));
+          vec<T, N> t_cv(utils<T, N>::add_vec(SG.load<N, CVT>(MPL_CV)));
+          if (utils<T, N>::cmp_vec(
+                  t, t_cv)) // Store result only if same for non-cv and cv
+            SG.store<N, T>(mp, t);
+        }
+        if (NdItem.get_global_id(0) == 0)
+          sgsizeacc[0] = SGsize;
+      });
+    });
+    auto acc = syclbuf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    size_t sg_size = sgsizeacc[0];
+    int WGid = -1, SGid = 0;
+    for (int j = 0; j < (G - (sg_size * N)); j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      T ref = 0;
+      if (SGid % N) {
+        ref = acc[j - (SGid % N) * sg_size];
+      } else {
+        for (int i = 0; i < N; i++) {
+          ref += (T)(j + i * sg_size) + 0.25;
+        }
+      }
+      /* There is no defined out-of-range behavior for these functions. */
+      if ((SGid + N) * sg_size <= L) {
+        std::string s("Vector<");
+        s += std::string(typeid(ref).name()) + std::string(",") +
+             std::to_string(N) + std::string(">[") + std::to_string(j) +
+             std::string("]");
+        exit_if_not_equal<T>(acc[j], ref, s.c_str());
+      }
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+template <typename T> void check(queue &Queue) {
+  const int G = 128, L = 64;
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> syclbuf(G);
+    buffer<size_t> sgsizebuf(1);
+    {
+      auto acc = syclbuf.template get_access<access::mode::read_write>();
+      for (int i = 0; i < G; i++) {
+        acc[i] = i;
+        acc[i] += 0.1; // Check that floating point types are not casted to int
+      }
+    }
+
+    Queue.submit([&](handler &cgh) {
+      auto acc = syclbuf.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      local_accessor<T, 1> LocalMem({L}, cgh);
+      cgh.parallel_for<sycl_subgr<T, 0>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        if (NdItem.get_global_id(0) == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+        size_t SGOffset =
+            SG.get_group_id().get(0) * SG.get_max_local_range().get(0);
+        size_t WGSGoffset = NdItem.get_group(0) * L + SGOffset;
+        auto mp =
+            address_space_cast<access::address_space::global_space,
+                               sycl::access::decorated::yes>(&acc[WGSGoffset]);
+        auto MPL = address_space_cast<access::address_space::local_space,
+                                      sycl::access::decorated::yes>(
+            &LocalMem[SGOffset]);
+
+        // half does not have full support for volatile type qualifier
+        using CVT = std::conditional_t<std::is_same_v<T, half>, const T,
+                                       const volatile T>;
+
+        multi_ptr<CVT, mp.address_space, sycl::access::decorated::yes> mp_cv(
+            mp);
+        multi_ptr<CVT, MPL.address_space, sycl::access::decorated::yes> MPL_CV(
+            MPL);
+        T s = SG.load<T>(mp) + (T)SG.get_local_id().get(0);
+        T s_cv = SG.load<CVT>(mp_cv) + (T)SG.get_local_id().get(0);
+        if (s == s_cv) // Store result only if same for non-cv and cv
+          SG.store<T>(MPL, s);
+        T t = SG.load<T>(MPL) + (T)SG.get_local_id().get(0);
+        T t_cv = SG.load<CVT>(MPL_CV) + (T)SG.get_local_id().get(0);
+        if (t == t_cv) // Store result only if same for non-cv and cv
+          SG.store<T>(mp, t);
+      });
+    });
+    auto acc = syclbuf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    size_t sg_size = sgsizeacc[0];
+    int WGid = -1, SGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      std::string s("Scalar<");
+      s += std::string(typeid(acc[j]).name()) + std::string(">[") +
+           std::to_string(j) + std::string("]");
+
+      exit_if_not_equal<T>(acc[j], (T)(j + 2 * (j % L % sg_size)) + 0.1,
+                           s.c_str());
+    }
+
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+int main() {
+  queue Queue;
+  std::string PlatformName =
+      Queue.get_device().get_platform().get_info<info::platform::name>();
+  auto Vec = Queue.get_device().get_info<info::device::extensions>();
+  if (std::find(Vec.begin(), Vec.end(), "cl_intel_subgroups") !=
+          std::end(Vec) ||
+      PlatformName.find("CUDA") != std::string::npos) {
+    typedef bool aligned_char __attribute__((aligned(16)));
+    check<aligned_char>(Queue);
+    typedef int aligned_int __attribute__((aligned(16)));
+    check<aligned_int>(Queue);
+    check<aligned_int, 1>(Queue);
+    check<aligned_int, 2>(Queue);
+    check<aligned_int, 3>(Queue);
+    check<aligned_int, 4>(Queue);
+    check<aligned_int, 8>(Queue);
+    check<aligned_int, 16>(Queue);
+    typedef unsigned int aligned_uint __attribute__((aligned(16)));
+    check<aligned_uint>(Queue);
+    check<aligned_uint, 1>(Queue);
+    check<aligned_uint, 2>(Queue);
+    check<aligned_uint, 3>(Queue);
+    check<aligned_uint, 4>(Queue);
+    check<aligned_uint, 8>(Queue);
+    check<aligned_uint, 16>(Queue);
+    typedef float aligned_float __attribute__((aligned(16)));
+    check<aligned_float>(Queue);
+    check<aligned_float, 1>(Queue);
+    check<aligned_float, 2>(Queue);
+    check<aligned_float, 3>(Queue);
+    check<aligned_float, 4>(Queue);
+    check<aligned_float, 8>(Queue);
+    check<aligned_float, 16>(Queue);
+  }
+  if (std::find(Vec.begin(), Vec.end(), "cl_intel_subgroups_short") !=
+          std::end(Vec) ||
+      PlatformName.find("CUDA") != std::string::npos) {
+    typedef short aligned_short __attribute__((aligned(16)));
+    check<aligned_short>(Queue);
+    check<aligned_short, 1>(Queue);
+    check<aligned_short, 2>(Queue);
+    check<aligned_short, 3>(Queue);
+    check<aligned_short, 4>(Queue);
+    check<aligned_short, 8>(Queue);
+    check<aligned_short, 16>(Queue);
+    if (Queue.get_device().has(sycl::aspect::fp16) ||
+        PlatformName.find("CUDA") != std::string::npos) {
+      typedef half aligned_half __attribute__((aligned(16)));
+      check<aligned_half>(Queue);
+      check<aligned_half, 1>(Queue);
+      check<aligned_half, 2>(Queue);
+      check<aligned_half, 3>(Queue);
+      check<aligned_half, 4>(Queue);
+      check<aligned_half, 8>(Queue);
+      check<aligned_half, 16>(Queue);
+    }
+  }
+  if (std::find(Vec.begin(), Vec.end(), "cl_intel_subgroups_long") !=
+          std::end(Vec) ||
+      PlatformName.find("CUDA") != std::string::npos) {
+    typedef long aligned_long __attribute__((aligned(16)));
+    check<aligned_long>(Queue);
+    check<aligned_long, 1>(Queue);
+    check<aligned_long, 2>(Queue);
+    check<aligned_long, 3>(Queue);
+    check<aligned_long, 4>(Queue);
+    check<aligned_long, 8>(Queue);
+    check<aligned_long, 16>(Queue);
+    typedef unsigned long aligned_ulong __attribute__((aligned(16)));
+    check<aligned_ulong>(Queue);
+    check<aligned_ulong, 1>(Queue);
+    check<aligned_ulong, 2>(Queue);
+    check<aligned_ulong, 3>(Queue);
+    check<aligned_ulong, 4>(Queue);
+    check<aligned_ulong, 8>(Queue);
+    check<aligned_ulong, 16>(Queue);
+    if (Queue.get_device().has(sycl::aspect::fp64)) {
+      typedef double aligned_double __attribute__((aligned(16)));
+      check<aligned_double>(Queue);
+      check<aligned_double, 1>(Queue);
+      check<aligned_double, 2>(Queue);
+      check<aligned_double, 3>(Queue);
+      check<aligned_double, 4>(Queue);
+      check<aligned_double, 8>(Queue);
+      check<aligned_double, 16>(Queue);
+    }
+  }
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/reduce.cpp b/sycl/test-e2e/SubGroup/reduce.cpp
new file mode 100644
index 0000000000000..4750ae3694c1c
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce.cpp
@@ -0,0 +1,29 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- reduce.cpp - SYCL sub_group reduce test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "reduce.hpp"
+#include <iostream>
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class KernelName_AJprOaCZgUmsYFRTTGNw, int>(Queue);
+  check<class KernelName_ShKFIYTqaI, unsigned int>(Queue);
+  check<class KernelName_TovsKTk, long>(Queue);
+  check<class KernelName_JqbvoN, unsigned long>(Queue);
+  check<class KernelName_mAWqKSWTT, float>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/reduce.hpp b/sycl/test-e2e/SubGroup/reduce.hpp
new file mode 100644
index 0000000000000..9a07d8230dabe
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce.hpp
@@ -0,0 +1,158 @@
+//==--------------- reduce.hpp - SYCL sub_group reduce test ----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+template <typename... Ts> class sycl_subgr;
+
+using namespace sycl;
+
+template <typename SpecializationKernelName, typename T, class BinaryOperation>
+void check_op(queue &Queue, T init, BinaryOperation op, bool skip_init = false,
+              size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> buf(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<SpecializationKernelName>(
+          NdRange, [=](nd_item<1> NdItem) {
+            ext::oneapi::sub_group sg = NdItem.get_sub_group();
+            if (skip_init) {
+              acc[NdItem.get_global_id(0)] =
+                  reduce_over_group(sg, T(NdItem.get_global_id(0)), op);
+            } else {
+              acc[NdItem.get_global_id(0)] =
+                  reduce_over_group(sg, T(NdItem.get_global_id(0)), init, op);
+            }
+            if (NdItem.get_global_id(0) == 0)
+              sgsizeacc[0] = sg.get_max_local_range()[0];
+          });
+    });
+    auto acc = buf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    size_t sg_size = sgsizeacc[0];
+    int WGid = -1, SGid = 0;
+    T result = init;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        result = init;
+        for (int i = j; (i % L && i % L % sg_size) || (i == j); i++) {
+          result = op(result, T(i));
+        }
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      std::string name =
+          std::string("reduce_") + typeid(BinaryOperation).name();
+      exit_if_not_equal<T>(acc[j], result, name.c_str());
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+template <typename SpecializationKernelName, typename T>
+void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  // limit data range for half to avoid rounding issues
+  if (std::is_same<T, sycl::half>::value) {
+    G = 64;
+    L = 32;
+  }
+
+  check_op<
+      sycl_subgr<SpecializationKernelName, class KernelName_cNsJzXxSBQfEKY>, T>(
+      Queue, T(L), ext::oneapi::plus<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_bWdCJaxe>, T>(
+      Queue, T(0), ext::oneapi::plus<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_wjspvpHJtI>,
+           T>(Queue, T(0), ext::oneapi::minimum<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_BUioaQYxhjN>,
+           T>(Queue, T(G), ext::oneapi::minimum<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_bIHcoJBNpiB>,
+           T>(Queue, T(G), ext::oneapi::maximum<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_bPPlfvdGShi>,
+           T>(Queue, T(0), ext::oneapi::maximum<T>(), true, G, L);
+
+  // Transparent operator functors.
+  check_op<sycl_subgr<SpecializationKernelName,
+                      class KernelName_fkOyLRYirfMnvBcnbRFy>,
+           T>(Queue, T(L), ext::oneapi::plus<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName,
+                      class KernelName_zhzfRmSAFlswKWShyecv>,
+           T>(Queue, T(0), ext::oneapi::plus<>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName,
+                      class KernelName_NaOzDnOmDPiDIXnXvaGy>,
+           T>(Queue, T(0), ext::oneapi::minimum<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XXAfdcNmCNX>,
+           T>(Queue, T(G), ext::oneapi::minimum<>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_pLlvjjZsPv>,
+           T>(Queue, T(G), ext::oneapi::maximum<>(), false, G, L);
+  check_op<
+      sycl_subgr<SpecializationKernelName, class KernelName_BaCGaWDMFeMFqvotbk>,
+      T>(Queue, T(0), ext::oneapi::maximum<>(), true, G, L);
+}
+
+template <typename SpecializationKernelName, typename T>
+void check_mul(queue &Queue, size_t G = 256, size_t L = 4) {
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulF>, T>(
+      Queue, T(G), ext::oneapi::multiplies<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulT>, T>(
+      Queue, T(1), ext::oneapi::multiplies<T>(), true, G, L);
+
+  // Transparent operator functors.
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulFV>, T>(
+      Queue, T(G), ext::oneapi::multiplies<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulTV>, T>(
+      Queue, T(1), ext::oneapi::multiplies<>(), true, G, L);
+}
+
+template <typename SpecializationKernelName, typename T>
+void check_bit_ops(queue &Queue, size_t G = 256, size_t L = 4) {
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORF>, T>(
+      Queue, T(G), ext::oneapi::bit_or<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORT>, T>(
+      Queue, T(0), ext::oneapi::bit_or<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORF>, T>(
+      Queue, T(G), ext::oneapi::bit_xor<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORT>, T>(
+      Queue, T(0), ext::oneapi::bit_xor<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDF>, T>(
+      Queue, T(G), ext::oneapi::bit_and<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDT>, T>(
+      Queue, ~T(0), ext::oneapi::bit_and<T>(), true, G, L);
+
+  // Transparent operator functors
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORFV>, T>(
+      Queue, T(G), ext::oneapi::bit_or<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORTV>, T>(
+      Queue, T(0), ext::oneapi::bit_or<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORFV>, T>(
+      Queue, T(G), ext::oneapi::bit_xor<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORTV>, T>(
+      Queue, T(0), ext::oneapi::bit_xor<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDFV>, T>(
+      Queue, T(G), ext::oneapi::bit_and<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDTV>, T>(
+      Queue, ~T(0), ext::oneapi::bit_and<T>(), true, G, L);
+}
diff --git a/sycl/test-e2e/SubGroup/reduce_fp16.cpp b/sycl/test-e2e/SubGroup/reduce_fp16.cpp
new file mode 100644
index 0000000000000..9c1193791f50a
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce_fp16.cpp
@@ -0,0 +1,21 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_GroupFAdd, __spirv_GroupFMin, __spirv_GroupFMax on AMD
+// XFAIL: hip_amd
+
+// This test verifies the correct work of the sub-group algorithm reduce().
+
+#include "reduce.hpp"
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class KernelName_oMg, sycl::half>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/reduce_fp64.cpp b/sycl/test-e2e/SubGroup/reduce_fp64.cpp
new file mode 100644
index 0000000000000..523ff2550cd70
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce_fp64.cpp
@@ -0,0 +1,20 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of the sub-group algorithm reduce().
+
+#include "reduce.hpp"
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp64)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class KernelName_alTnImqzYasRyHjYg, double>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/reduce_spirv13.cpp b/sycl/test-e2e/SubGroup/reduce_spirv13.cpp
new file mode 100644
index 0000000000000..6bdfa2e205a11
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce_spirv13.cpp
@@ -0,0 +1,34 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of SPIR-V 1.3 reduce algorithm
+// used with the operation MUL, bitwise OR, XOR, AND.
+
+#include "reduce.hpp"
+#include <iostream>
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+
+  check_mul<class MulA, int>(Queue);
+  check_mul<class MulB, unsigned int>(Queue);
+  check_mul<class MulC, long>(Queue);
+  check_mul<class MulD, unsigned long>(Queue);
+  check_mul<class MulE, float>(Queue);
+
+  check_bit_ops<class A, int>(Queue);
+  check_bit_ops<class B, unsigned int>(Queue);
+  check_bit_ops<class C, unsigned>(Queue);
+  check_bit_ops<class D, long>(Queue);
+  check_bit_ops<class E, unsigned long>(Queue);
+  check_bit_ops<class F, long long>(Queue);
+  check_bit_ops<class G, unsigned long long>(Queue);
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/reduce_spirv13_fp16.cpp b/sycl/test-e2e/SubGroup/reduce_spirv13_fp16.cpp
new file mode 100644
index 0000000000000..7cedd8af5da26
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce_spirv13_fp16.cpp
@@ -0,0 +1,21 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of SPIR-V 1.3 reduce algorithm
+// used with MUL operation.
+
+#include "reduce.hpp"
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check_mul<class MulHalf, sycl::half>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/reduce_spirv13_fp64.cpp b/sycl/test-e2e/SubGroup/reduce_spirv13_fp64.cpp
new file mode 100644
index 0000000000000..9d1f75e2de42c
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/reduce_spirv13_fp64.cpp
@@ -0,0 +1,23 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of SPIR-V 1.3 reduce algorithm
+// used with MUL operation.
+
+#include "reduce.hpp"
+#include <iostream>
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp64)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check_mul<class MulDouble, double>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/scan.cpp b/sycl/test-e2e/SubGroup/scan.cpp
new file mode 100644
index 0000000000000..b0a9224b847f6
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan.cpp
@@ -0,0 +1,30 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- scan.cpp - SYCL sub_group scan test --------*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "scan.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class KernelName_QTbNYAsEmawQ, int>(Queue);
+  check<class KernelName_FQFNSdcVGrCLUbn, unsigned int>(Queue);
+  check<class KernelName_kWYnyHJx, long>(Queue);
+  check<class KernelName_qmL, unsigned long>(Queue);
+  check<class KernelName_BckYc, float>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/scan.hpp b/sycl/test-e2e/SubGroup/scan.hpp
new file mode 100644
index 0000000000000..ad31451a10fb6
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan.hpp
@@ -0,0 +1,198 @@
+//==--------------- scan.hpp - SYCL sub_group scan test --------*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <iostream>
+#include <limits>
+#include <sycl/sycl.hpp>
+
+template <typename... Ts> class sycl_subgr;
+
+using namespace sycl;
+
+template <typename SpecializationKernelName, typename T, class BinaryOperation>
+void check_op(queue &Queue, T init, BinaryOperation op, bool skip_init = false,
+              size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> exbuf(G), inbuf(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+      auto exacc = exbuf.template get_access<access::mode::read_write>(cgh);
+      auto inacc = inbuf.template get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<SpecializationKernelName>(
+          NdRange, [=](nd_item<1> NdItem) {
+            ext::oneapi::sub_group sg = NdItem.get_sub_group();
+            if (skip_init) {
+              exacc[NdItem.get_global_id(0)] = ext::oneapi::exclusive_scan(
+                  sg, T(NdItem.get_global_id(0)), op);
+              inacc[NdItem.get_global_id(0)] = ext::oneapi::inclusive_scan(
+                  sg, T(NdItem.get_global_id(0)), op);
+            } else {
+              exacc[NdItem.get_global_id(0)] = ext::oneapi::exclusive_scan(
+                  sg, T(NdItem.get_global_id(0)), init, op);
+              inacc[NdItem.get_global_id(0)] = ext::oneapi::inclusive_scan(
+                  sg, T(NdItem.get_global_id(0)), op, init);
+            }
+            if (NdItem.get_global_id(0) == 0)
+              sgsizeacc[0] = sg.get_max_local_range()[0];
+          });
+    });
+    auto exacc = exbuf.template get_access<access::mode::read_write>();
+    auto inacc = inbuf.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+    size_t sg_size = sgsizeacc[0];
+    int WGid = -1, SGid = 0;
+    T result = init;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        result = init;
+      }
+      if (j % L == 0) {
+        WGid++;
+        SGid = 0;
+      }
+      std::string exname =
+          std::string("scan_exc_") + typeid(BinaryOperation).name();
+      std::string inname =
+          std::string("scan_inc_") + typeid(BinaryOperation).name();
+      exit_if_not_equal<T>(exacc[j], result, exname.c_str());
+      result = op(result, T(j));
+      exit_if_not_equal<T>(inacc[j], result, inname.c_str());
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+template <typename SpecializationKernelName, typename T>
+void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  // limit data range for half to avoid rounding issues
+  if (std::is_same<T, sycl::half>::value) {
+    G = 64;
+    L = 32;
+  }
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_UdKabTMplbvM>,
+           T>(Queue, T(L), ext::oneapi::plus<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_hYvJ>, T>(
+      Queue, T(0), ext::oneapi::plus<T>(), true, G, L);
+
+  check_op<
+      sycl_subgr<SpecializationKernelName, class KernelName_eozPcciiaOmKkKUEp>,
+      T>(Queue, T(0), ext::oneapi::minimum<T>(), false, G, L);
+  if (std::is_floating_point<T>::value || std::is_same<T, sycl::half>::value) {
+    check_op<
+        sycl_subgr<SpecializationKernelName, class KernelName_LylCkHSTmrFhMH>,
+        T>(Queue, std::numeric_limits<T>::infinity(), ext::oneapi::minimum<T>(),
+           true, G, L);
+  } else {
+    check_op<sycl_subgr<SpecializationKernelName,
+                        class KernelName_gYWXQQXGnzJEpaftEQly>,
+             T>(Queue, std::numeric_limits<T>::max(), ext::oneapi::minimum<T>(),
+                true, G, L);
+  }
+
+  check_op<
+      sycl_subgr<SpecializationKernelName, class KernelName_NEgmAHtvPAWDyXPoo>,
+      T>(Queue, T(G), ext::oneapi::maximum<T>(), false, G, L);
+  if (std::is_floating_point<T>::value || std::is_same<T, sycl::half>::value) {
+    check_op<
+        sycl_subgr<SpecializationKernelName, class KernelName_EBNigvpxbxYEyRcl>,
+        T>(Queue, -std::numeric_limits<T>::infinity(),
+           ext::oneapi::maximum<T>(), true, G, L);
+  } else {
+    check_op<sycl_subgr<SpecializationKernelName, class KernelName_KayihC>, T>(
+        Queue, std::numeric_limits<T>::min(), ext::oneapi::maximum<T>(), true,
+        G, L);
+  }
+
+  // Transparent operator functors.
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_TPWS>, T>(
+      Queue, T(L), ext::oneapi::plus<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_hWZv>, T>(
+      Queue, T(0), ext::oneapi::plus<>(), true, G, L);
+
+  check_op<
+      sycl_subgr<SpecializationKernelName, class KernelName_MdoesLriZMCljse>,
+      T>(Queue, T(0), ext::oneapi::minimum<>(), false, G, L);
+  if (std::is_floating_point<T>::value || std::is_same<T, sycl::half>::value) {
+    check_op<
+        sycl_subgr<SpecializationKernelName, class KernelName_fgMMknFqTMGts>,
+        T>(Queue, std::numeric_limits<T>::infinity(), ext::oneapi::minimum<>(),
+           true, G, L);
+  } else {
+    check_op<sycl_subgr<SpecializationKernelName,
+                        class KernelName_FVbXDSctbMnggHMCz>,
+             T>(Queue, std::numeric_limits<T>::max(), ext::oneapi::minimum<>(),
+                true, G, L);
+  }
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_zzvRru>, T>(
+      Queue, T(G), ext::oneapi::maximum<>(), false, G, L);
+  if (std::is_floating_point<T>::value || std::is_same<T, sycl::half>::value) {
+    check_op<sycl_subgr<SpecializationKernelName, class KernelName_NJh>, T>(
+        Queue, -std::numeric_limits<T>::infinity(), ext::oneapi::maximum<>(),
+        true, G, L);
+  } else {
+    check_op<
+        sycl_subgr<SpecializationKernelName, class KernelName_XjMHvRfLSQerFi>,
+        T>(Queue, std::numeric_limits<T>::min(), ext::oneapi::maximum<>(), true,
+           G, L);
+  }
+}
+
+template <typename SpecializationKernelName, typename T>
+void check_mul(queue &Queue, size_t G = 256, size_t L = 4) {
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulF>, T>(
+      Queue, T(L), ext::oneapi::multiplies<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulT>, T>(
+      Queue, T(1), ext::oneapi::multiplies<>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulFV>, T>(
+      Queue, T(L), ext::oneapi::multiplies<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_MulTV>, T>(
+      Queue, T(1), ext::oneapi::multiplies<>(), true, G, L);
+}
+
+template <typename SpecializationKernelName, typename T>
+void check_bit_ops(queue &Queue, size_t G = 256, size_t L = 4) {
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORF>, T>(
+      Queue, T(L), ext::oneapi::bit_or<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORT>, T>(
+      Queue, T(0), ext::oneapi::bit_or<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORF>, T>(
+      Queue, T(L), ext::oneapi::bit_xor<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORT>, T>(
+      Queue, T(0), ext::oneapi::bit_xor<T>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDF>, T>(
+      Queue, T(L), ext::oneapi::bit_and<T>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDT>, T>(
+      Queue, ~T(0), ext::oneapi::bit_and<T>(), true, G, L);
+
+  // Transparent operator functors.
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORFV>, T>(
+      Queue, T(L), ext::oneapi::bit_or<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ORTV>, T>(
+      Queue, T(0), ext::oneapi::bit_or<>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORFV>, T>(
+      Queue, T(L), ext::oneapi::bit_xor<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_XORTV>, T>(
+      Queue, T(0), ext::oneapi::bit_xor<>(), true, G, L);
+
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDFV>, T>(
+      Queue, T(L), ext::oneapi::bit_and<>(), false, G, L);
+  check_op<sycl_subgr<SpecializationKernelName, class KernelName_ANDTV>, T>(
+      Queue, ~T(0), ext::oneapi::bit_and<>(), true, G, L);
+}
diff --git a/sycl/test-e2e/SubGroup/scan_fp16.cpp b/sycl/test-e2e/SubGroup/scan_fp16.cpp
new file mode 100644
index 0000000000000..e5d4956a83767
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan_fp16.cpp
@@ -0,0 +1,23 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_SubgroupLocalInvocationId, __spirv_GroupFAdd,
+// __spirv_GroupFMin, __spirv_GroupFMax on AMD
+// XFAIL: hip_amd
+
+// This test verifies the correct work of the sub-group algorithms
+// exclusive_scan() and inclusive_scan().
+
+#include "scan.hpp"
+#include <iostream>
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class KernelName_dlpo, sycl::half>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/scan_fp64.cpp b/sycl/test-e2e/SubGroup/scan_fp64.cpp
new file mode 100644
index 0000000000000..328334c222ad8
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan_fp64.cpp
@@ -0,0 +1,21 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of the sub-group algorithms
+// exclusive_scan() and inclusive_scan().
+
+#include "scan.hpp"
+#include <iostream>
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp64)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class KernelName_cYZflKkIXS, double>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/scan_spirv13.cpp b/sycl/test-e2e/SubGroup/scan_spirv13.cpp
new file mode 100644
index 0000000000000..a89bcd8213563
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan_spirv13.cpp
@@ -0,0 +1,38 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Missing GroupNonUniformArithmetic capability on CPU RT
+// XFAIL: cpu
+
+// This test verifies the correct work of SPIR-V 1.3 exclusive_scan() and
+// inclusive_scan() algoriths used with the operation MUL, bitwise OR, XOR, AND.
+
+#include "scan.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check_mul<class MulA, int>(Queue);
+  check_mul<class MulB, unsigned int>(Queue);
+  check_mul<class MulC, long>(Queue);
+  check_mul<class MulD, unsigned long>(Queue);
+  check_mul<class MulE, float>(Queue);
+
+  check_bit_ops<class A, int>(Queue);
+  check_bit_ops<class B, unsigned int>(Queue);
+  check_bit_ops<class C, unsigned>(Queue);
+  check_bit_ops<class D, long>(Queue);
+  check_bit_ops<class E, unsigned long>(Queue);
+  check_bit_ops<class F, long long>(Queue);
+  check_bit_ops<class G, unsigned long long>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/scan_spirv13_fp16.cpp b/sycl/test-e2e/SubGroup/scan_spirv13_fp16.cpp
new file mode 100644
index 0000000000000..334d43f85c3b3
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan_spirv13_fp16.cpp
@@ -0,0 +1,22 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of SPIR-V 1.3 exclusive_scan() and
+// inclusive_scan() algoriths used with the MUL operation.
+
+#include "scan.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp16)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check_mul<class MulHalf, sycl::half>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/scan_spirv13_fp64.cpp b/sycl/test-e2e/SubGroup/scan_spirv13_fp64.cpp
new file mode 100644
index 0000000000000..ee521e51dbaef
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/scan_spirv13_fp64.cpp
@@ -0,0 +1,24 @@
+// UNSUPPORTED: hip
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// This test verifies the correct work of SPIR-V 1.3 exclusive_scan() and
+// inclusive_scan() algoriths used with the MUL operation.
+
+#include "scan.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device()) ||
+      !Queue.get_device().has(sycl::aspect::fp64)) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check<class MulDouble, double>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/sg.cl b/sycl/test-e2e/SubGroup/sg.cl
new file mode 100644
index 0000000000000..1c91667300632
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/sg.cl
@@ -0,0 +1,23 @@
+//==-------------- sg.cl - OpenCL reference kernel file --------*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+// ===--------------------------------------------------------------------=== //
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+struct Data {
+  uint local_id;
+  uint local_range;
+  uint max_local_range;
+  uint group_id;
+  uint group_range;
+};
+__kernel void ocl_subgr(__global struct Data *a) {
+  uint id = get_global_id(0);
+  a[id].local_id = get_sub_group_local_id();
+  a[id].local_range = get_sub_group_size();
+  a[id].max_local_range = get_max_sub_group_size();
+  a[id].group_id = get_sub_group_id();
+  a[id].group_range = get_num_sub_groups();
+}
diff --git a/sycl/test-e2e/SubGroup/shuffle.cpp b/sycl/test-e2e/SubGroup/shuffle.cpp
new file mode 100644
index 0000000000000..d9c7c8f368954
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/shuffle.cpp
@@ -0,0 +1,40 @@
+// UNSUPPORTED: hip_amd
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_SubgroupShuffleINTEL, __spirv_SubgroupShuffleUpINTEL,
+// __spirv_SubgroupShuffleDownINTEL, __spirv_SubgroupShuffleXorINTEL on AMD
+//
+//==------------ shuffle.cpp - SYCL sub_group shuffle test -----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "shuffle.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  check<short>(Queue);
+  check<unsigned short>(Queue);
+  check<int>(Queue);
+  check<int, 2>(Queue);
+  check<int, 4>(Queue);
+  check<int, 8>(Queue);
+  check<int, 16>(Queue);
+  check<unsigned int>(Queue);
+  check<unsigned int, 2>(Queue);
+  check<unsigned int, 4>(Queue);
+  check<unsigned int, 8>(Queue);
+  check<unsigned int, 16>(Queue);
+  check<long>(Queue);
+  check<unsigned long>(Queue);
+  check<float>(Queue);
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/shuffle.hpp b/sycl/test-e2e/SubGroup/shuffle.hpp
new file mode 100644
index 0000000000000..ad04ec65aeccc
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/shuffle.hpp
@@ -0,0 +1,181 @@
+//==------------ shuffle.hpp - SYCL sub_group shuffle test -----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+template <typename T, int N> class sycl_subgr;
+
+using namespace sycl;
+
+// TODO remove this workaround when clang will support correct generation of
+// half typename in integration header
+struct wa_half;
+
+template <typename T, int N>
+void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<vec<T, N>> buf(G);
+    buffer<vec<T, N>> buf_up(G);
+    buffer<vec<T, N>> buf_down(G);
+    buffer<vec<T, N>> buf_xor(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      auto acc_up = buf_up.template get_access<access::mode::read_write>(cgh);
+      auto acc_down =
+          buf_down.template get_access<access::mode::read_write>(cgh);
+      auto acc_xor = buf_xor.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for<sycl_subgr<T, N>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        uint32_t wggid = NdItem.get_global_id(0);
+        uint32_t sgid = SG.get_group_id().get(0);
+        vec<T, N> vwggid(wggid), vsgid(sgid);
+        if (wggid == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+
+        /*GID of middle element in every subgroup*/
+        acc[NdItem.get_global_id()] =
+            SG.shuffle(vwggid, SG.get_max_local_range()[0] / 2);
+        /* Save GID-SGID */
+        acc_up[NdItem.get_global_id()] = SG.shuffle_up(vwggid, sgid);
+        /* Save GID+SGID */
+        acc_down[NdItem.get_global_id()] = SG.shuffle_down(vwggid, sgid);
+        /* Save GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+        acc_xor[NdItem.get_global_id()] =
+            SG.shuffle_xor(vwggid, sgid % SG.get_max_local_range()[0]);
+      });
+    });
+    auto acc = buf.template get_access<access::mode::read_write>();
+    auto acc_up = buf_up.template get_access<access::mode::read_write>();
+    auto acc_down = buf_down.template get_access<access::mode::read_write>();
+    auto acc_xor = buf_xor.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      /*GID of middle element in every subgroup*/
+      exit_if_not_equal_vec<T, N>(
+          acc[j], vec<T, N>(j / L * L + SGid * sg_size + sg_size / 2),
+          "shuffle");
+      /* Value GID+SGID for all element except last SGID in SG*/
+      if (j % L % sg_size + SGid < sg_size && j % L + SGid < L) {
+        exit_if_not_equal_vec(acc_down[j], vec<T, N>(j + SGid % sg_size),
+                              "shuffle_down");
+      }
+      /* Value GID-SGID for all element except first SGID in SG*/
+      if (j % L % sg_size >= SGid) {
+        exit_if_not_equal_vec(acc_up[j], vec<T, N>(j - SGid % sg_size),
+                              "shuffle_up");
+      }
+      /* Value GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+      exit_if_not_equal_vec(acc_xor[j],
+                            vec<T, N>(SGBeginGid + (SGLid ^ (SGid % sg_size))),
+                            "shuffle_xor");
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+
+template <typename T> void check(queue &Queue, size_t G = 256, size_t L = 64) {
+  try {
+    nd_range<1> NdRange(G, L);
+    buffer<T> buf(G);
+    buffer<T> buf_up(G);
+    buffer<T> buf_down(G);
+    buffer<T> buf_xor(G);
+    buffer<size_t> sgsizebuf(1);
+    Queue.submit([&](handler &cgh) {
+      auto acc = buf.template get_access<access::mode::read_write>(cgh);
+      auto acc_up = buf_up.template get_access<access::mode::read_write>(cgh);
+      auto acc_down =
+          buf_down.template get_access<access::mode::read_write>(cgh);
+      auto acc_xor = buf_xor.template get_access<access::mode::read_write>(cgh);
+      auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>(cgh);
+
+      cgh.parallel_for<sycl_subgr<T, 0>>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        uint32_t wggid = NdItem.get_global_id(0);
+        uint32_t sgid = SG.get_group_id().get(0);
+        if (wggid == 0)
+          sgsizeacc[0] = SG.get_max_local_range()[0];
+
+        /*GID of middle element in every subgroup*/
+        acc[NdItem.get_global_id()] =
+            SG.shuffle<T>(wggid, SG.get_max_local_range()[0] / 2);
+        /* Save GID-SGID */
+        acc_up[NdItem.get_global_id()] = SG.shuffle_up<T>(wggid, sgid);
+        /* Save GID+SGID */
+        acc_down[NdItem.get_global_id()] = SG.shuffle_down<T>(wggid, sgid);
+        /* Save GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+        acc_xor[NdItem.get_global_id()] =
+            SG.shuffle_xor<T>(wggid, sgid % SG.get_max_local_range()[0]);
+      });
+    });
+    auto acc = buf.template get_access<access::mode::read_write>();
+    auto acc_up = buf_up.template get_access<access::mode::read_write>();
+    auto acc_down = buf_down.template get_access<access::mode::read_write>();
+    auto acc_xor = buf_xor.template get_access<access::mode::read_write>();
+    auto sgsizeacc = sgsizebuf.get_access<access::mode::read_write>();
+
+    size_t sg_size = sgsizeacc[0];
+    int SGid = 0;
+    int SGLid = 0;
+    int SGBeginGid = 0;
+    for (int j = 0; j < G; j++) {
+      if (j % L % sg_size == 0) {
+        SGid++;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+      if (j % L == 0) {
+        SGid = 0;
+        SGLid = 0;
+        SGBeginGid = j;
+      }
+
+      /*GID of middle element in every subgroup*/
+      exit_if_not_equal<T>(acc[j], j / L * L + SGid * sg_size + sg_size / 2,
+                           "shuffle");
+      /* Value GID+SGID for all element except last SGID in SG*/
+      if (j % L % sg_size + SGid < sg_size && j % L + SGid < L) {
+        exit_if_not_equal<T>(acc_down[j], j + SGid, "shuffle_down");
+      }
+      /* Value GID-SGID for all element except first SGID in SG*/
+      if (j % L % sg_size >= SGid) {
+        exit_if_not_equal<T>(acc_up[j], j - SGid, "shuffle_up");
+      }
+      /* Value GID with SGLID = ( SGLID XOR SGID ) % SGMaxSize */
+      exit_if_not_equal<T>(acc_xor[j], SGBeginGid + (SGLid ^ (SGid % sg_size)),
+                           "shuffle_xor");
+      SGLid++;
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
diff --git a/sycl/test-e2e/SubGroup/shuffle_fp16.cpp b/sycl/test-e2e/SubGroup/shuffle_fp16.cpp
new file mode 100644
index 0000000000000..70224da203d35
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/shuffle_fp16.cpp
@@ -0,0 +1,33 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_SubgroupShuffleINTEL, __spirv_SubgroupShuffleUpINTEL,
+// __spirv_SubgroupShuffleDownINTEL, __spirv_SubgroupShuffleXorINTEL on AMD
+// XFAIL: hip_amd
+// Even though `gfx908` and `gfx906` support halfs, libspirv is currently
+// built with `tahiti` as the target CPU, which means that clang rejects
+// AMD built-ins using halfs, for that reason half support has to stay
+// disabled.
+//
+//==------- shuffle_fp16.cpp - SYCL sub_group shuffle test -----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "shuffle.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  if (Queue.get_device().has(sycl::aspect::fp16)) {
+    check<half>(Queue);
+    std::cout << "Test passed." << std::endl;
+  } else {
+    std::cout << "Test skipped because device doesn't support aspect::fp16"
+              << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/shuffle_fp64.cpp b/sycl/test-e2e/SubGroup/shuffle_fp64.cpp
new file mode 100644
index 0000000000000..a0aa02b116d5e
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/shuffle_fp64.cpp
@@ -0,0 +1,31 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+//==------- shuffle_fp64.cpp - SYCL sub_group shuffle test -----*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "shuffle.hpp"
+#include <iostream>
+
+int main() {
+  queue Queue;
+  if (Queue.get_device().has(sycl::aspect::fp64)) {
+    check<double>(Queue);
+    check<double, 2>(Queue);
+    check<double, 4>(Queue);
+    check<double, 8>(Queue);
+    check<double, 16>(Queue);
+    std::cout << "Test passed." << std::endl;
+  } else {
+    std::cout << "Test skipped because device doesn't support aspect::fp64"
+              << std::endl;
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/sub_group_as.cpp b/sycl/test-e2e/SubGroup/sub_group_as.cpp
new file mode 100644
index 0000000000000..14dc1d8bcc69f
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/sub_group_as.cpp
@@ -0,0 +1,90 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// Sub-groups are not suported on Host
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DUSE_DEPRECATED_LOCAL_ACC %s -o %t.out
+// Sub-groups are not suported on Host
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Missing __spirv_GenericCastToPtrExplicit_ToLocal,
+// __spirv_SubgroupInvocationId, __spirv_GenericCastToPtrExplicit_ToGlobal,
+// __spirv_SubgroupBlockReadINTEL, __assert_fail,
+// __spirv_SubgroupBlockWriteINTEL on AMD
+// error message `Barrier is not supported on the host device yet.` on Nvidia.
+// XFAIL: hip_amd || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+#include <cassert>
+#include <cstdint>
+#include <cstdio>
+#include <cstdlib>
+#include <sycl/sycl.hpp>
+
+int main(int argc, char *argv[]) {
+  sycl::queue queue;
+  printf("Device Name = %s\n",
+         queue.get_device().get_info<sycl::info::device::name>().c_str());
+
+  // Initialize some host memory
+  constexpr int N = 64;
+  int host_mem[N];
+  for (int i = 0; i < N; ++i) {
+    host_mem[i] = i * 100;
+  }
+
+  // Use the device to transform each value
+  {
+    sycl::buffer<int, 1> buf(host_mem, N);
+    queue.submit([&](sycl::handler &cgh) {
+      auto global = buf.get_access<sycl::access::mode::read_write,
+                                   sycl::access::target::device>(cgh);
+#ifdef USE_DEPRECATED_LOCAL_ACC
+      sycl::accessor<int, 1, sycl::access::mode::read_write,
+                     sycl::access::target::local>
+          local(N, cgh);
+#else
+      sycl::local_accessor<int, 1> local(N, cgh);
+#endif
+
+      cgh.parallel_for<class test>(
+          sycl::nd_range<1>(N, 32), [=](sycl::nd_item<1> it) {
+            sycl::ext::oneapi::sub_group sg = it.get_sub_group();
+            if (!it.get_local_id(0)) {
+              int end = it.get_global_id(0) + it.get_local_range()[0];
+              for (int i = it.get_global_id(0); i < end; i++) {
+                local[i] = i;
+              }
+            }
+            it.barrier();
+
+            int i = (it.get_global_id(0) / sg.get_max_local_range()[0]) *
+                    sg.get_max_local_range()[0];
+            // Global address space
+            auto x = sg.load(&global[i]);
+            auto x_cv = sg.load<const volatile int>(&global[i]);
+
+            // Local address space
+            auto y = sg.load(&local[i]);
+            auto y_cv = sg.load<const volatile int>(&local[i]);
+
+            // Store result only if same for non-cv and cv
+            if (x == x_cv && y == y_cv)
+              sg.store(&global[i], x + y);
+          });
+    });
+  }
+
+  // Print results and tidy up
+  for (int i = 0; i < N; ++i) {
+    if (i * 101 != host_mem[i]) {
+      printf("Unexpected result %04d vs %04d\n", i * 101, host_mem[i]);
+      return 1;
+    }
+  }
+  printf("Success!\n");
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/sub_group_as_vec.cpp b/sycl/test-e2e/SubGroup/sub_group_as_vec.cpp
new file mode 100644
index 0000000000000..316ea03dc6251
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/sub_group_as_vec.cpp
@@ -0,0 +1,100 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// Sub-groups are not suported on Host
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -DUSE_DEPRECATED_LOCAL_ACC  %s -o %t.out
+// Sub-groups are not suported on Host
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+//
+// Missing  __spirv_GenericCastToPtrExplicit_ToLocal,
+// __spirv_SubgroupLocalInvocationId, __spirv_GenericCastToPtrExplicit_ToGlobal,
+// __spirv_SubgroupBlockReadINTEL, __assert_fail,
+// __spirv_SubgroupBlockWriteINTEL on AMD
+// error message `Barrier is not supported on the host device yet.` on Nvidia.
+// XFAIL: hip_amd || hip_nvidia
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+#include "helper.hpp"
+#include <cassert>
+#include <cstdint>
+#include <cstdio>
+#include <cstdlib>
+#include <sycl/sycl.hpp>
+
+int main(int argc, char *argv[]) {
+  sycl::queue queue;
+  printf("Device Name = %s\n",
+         queue.get_device().get_info<sycl::info::device::name>().c_str());
+
+  // Initialize some host memory
+  constexpr int N = 64;
+  sycl::vec<int, 2> host_mem[N];
+  for (int i = 0; i < N; ++i) {
+    host_mem[i].s0() = i;
+    host_mem[i].s1() = 0;
+  }
+
+  // Use the device to transform each value
+  {
+    sycl::buffer<sycl::vec<int, 2>, 1> buf(host_mem, N);
+    queue.submit([&](sycl::handler &cgh) {
+      auto global = buf.get_access<sycl::access::mode::read_write,
+                                   sycl::access::target::device>(cgh);
+#ifdef DUSE_DEPRECATED_LOCAL_ACC
+      sycl::accessor<sycl::vec<int, 2>, 1, sycl::access::mode::read_write,
+                     sycl::access::target::local>
+          local(N, cgh);
+#else
+      sycl::local_accessor<sycl::vec<int, 2>, 1> local(N, cgh);
+#endif
+      cgh.parallel_for<class test>(
+          sycl::nd_range<1>(N, 32), [=](sycl::nd_item<1> it) {
+            sycl::ext::oneapi::sub_group sg = it.get_sub_group();
+            if (!it.get_local_id(0)) {
+              int end = it.get_global_id(0) + it.get_local_range()[0];
+              for (int i = it.get_global_id(0); i < end; i++) {
+                local[i].s0() = 0;
+                local[i].s1() = i;
+              }
+            }
+            it.barrier();
+
+            int i = (it.get_global_id(0) / sg.get_max_local_range()[0]) *
+                    sg.get_max_local_range()[0];
+            // Global address space
+            auto x = sg.load(&global[i]);
+            auto x_cv1 = sg.load<const volatile sycl::int2>(&global[i]);
+            auto x_cv2 = sg.load(
+                sycl::global_ptr<const volatile sycl::int2>(&global[i]));
+
+            // Local address space
+            auto y = sg.load(&local[i]);
+            auto y_cv1 = sg.load<const volatile sycl::int2>(&local[i]);
+            auto y_cv2 =
+                sg.load(sycl::local_ptr<const volatile sycl::int2>(&local[i]));
+
+            // Store result only if same for non-cv and cv
+            if (utils<int, 2>::cmp_vec(x, x_cv1) &&
+                utils<int, 2>::cmp_vec(x, x_cv2) &&
+                utils<int, 2>::cmp_vec(y, y_cv1) &&
+                utils<int, 2>::cmp_vec(y, y_cv2))
+              sg.store(&global[i], x + y);
+          });
+    });
+  }
+
+  // Print results and tidy up
+  for (int i = 0; i < N; ++i) {
+    if (i != host_mem[i].s0() || i != host_mem[i].s1()) {
+      printf("Unexpected result [%02d,%02d] vs [%02d,%02d]\n", i, i,
+             host_mem[i].s0(), host_mem[i].s1());
+      return 1;
+    }
+  }
+  printf("Success!\n");
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/sub_groups_sycl2020.cpp b/sycl/test-e2e/SubGroup/sub_groups_sycl2020.cpp
new file mode 100644
index 0000000000000..bdd67ba864170
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/sub_groups_sycl2020.cpp
@@ -0,0 +1,56 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Assertion `!MHostPlatform && "Plugin is not available for Host."' failed on
+// Nvidia.
+// XFAIL: hip_nvidia
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Q;
+  sycl::buffer<int, 3> Buf{sycl::range{32, 32, 3}};
+
+  size_t SubgroupSize = 0;
+
+  {
+    sycl::buffer<size_t, 1> SGBuf{&SubgroupSize, 1};
+    Q.submit([&](sycl::handler &CGH) {
+      sycl::accessor WriteAcc{Buf, CGH, sycl::write_only};
+      sycl::accessor SGSizeAcc{SGBuf, CGH, sycl::write_only};
+      CGH.parallel_for(
+          sycl::nd_range<1>(sycl::range{32}, sycl::range{32}),
+          [=](sycl::nd_item<1> item) {
+            auto SG = item.get_sub_group();
+
+            // Get sub-group size once.
+            if (item.get_global_linear_id() == 0)
+              SGSizeAcc[0] = SG.get_local_linear_range();
+
+            auto PerWI =
+                WriteAcc[SG.get_group_linear_id()][SG.get_local_linear_id()];
+            PerWI[0] = SG.leader();
+            PerWI[1] = SG.get_group_linear_range();
+            PerWI[2] = SG.get_local_linear_range();
+          });
+    });
+  }
+
+  sycl::host_accessor HostAcc{Buf, sycl::read_only};
+
+  const size_t NumSubgroups = 32 / SubgroupSize;
+  std::cout << "SubgroupSize " << SubgroupSize << std::endl;
+  std::cout << "NumSubgroups " << NumSubgroups << std::endl;
+
+  for (size_t SGNo = 0; SGNo < NumSubgroups; SGNo++) {
+    for (size_t WINo = 0; WINo < SubgroupSize; WINo++) {
+      const int Leader = WINo == 0 ? 1 : 0;
+      assert(HostAcc[SGNo][WINo][0] == Leader);
+      assert(HostAcc[SGNo][WINo][1] == NumSubgroups);
+      assert(HostAcc[SGNo][WINo][2] == SubgroupSize);
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroup/vote.cpp b/sycl/test-e2e/SubGroup/vote.cpp
new file mode 100644
index 0000000000000..c5b2fa3a46031
--- /dev/null
+++ b/sycl/test-e2e/SubGroup/vote.cpp
@@ -0,0 +1,83 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------------- vote.cpp - SYCL sub_group vote test --*- C++ -*---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include "helper.hpp"
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+void check(queue Queue, const int G, const int L, const int D, const int R) {
+  try {
+    range<1> GRange(G), LRange(L);
+    nd_range<1> NdRange(GRange, LRange);
+    buffer<int, 1> sganybuf(G);
+    buffer<int, 1> sgallbuf(G);
+
+    // Initialise buffer with zeros
+    Queue.submit([&](handler &cgh) {
+      auto sganyacc = sganybuf.get_access<access::mode::read_write>(cgh);
+      auto sgallacc = sgallbuf.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class init>(range<1>{(unsigned)G}, [=](id<1> index) {
+        sganyacc[index] = 0;
+        sgallacc[index] = 0;
+      });
+    });
+
+    Queue.submit([&](handler &cgh) {
+      auto sganyacc = sganybuf.get_access<access::mode::read_write>(cgh);
+      auto sgallacc = sgallbuf.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class init_bufs>(NdRange, [=](nd_item<1> NdItem) {
+        sganyacc[NdItem.get_global_id()] = 0;
+        sgallacc[NdItem.get_global_id()] = 0;
+      });
+    });
+
+    Queue.submit([&](handler &cgh) {
+      auto sganyacc = sganybuf.get_access<access::mode::read_write>(cgh);
+      auto sgallacc = sgallbuf.get_access<access::mode::read_write>(cgh);
+      cgh.parallel_for<class subgr>(NdRange, [=](nd_item<1> NdItem) {
+        ext::oneapi::sub_group SG = NdItem.get_sub_group();
+        /* Set to 1 if any local ID in subgroup devided by D has remainder R */
+        if (ext::oneapi::any_of(SG, SG.get_local_id().get(0) % D == R)) {
+          sganyacc[NdItem.get_global_id()] = 1;
+        }
+        /* Set to 1 if remainder of division of subgroup local ID by D is less
+         * than R for all work items in subgroup */
+        if (ext::oneapi::all_of(SG, SG.get_local_id().get(0) % D < R)) {
+          sgallacc[NdItem.get_global_id()] = 1;
+        }
+      });
+    });
+    auto sganyacc = sganybuf.get_access<access::mode::read_write>();
+    auto sgallacc = sgallbuf.get_access<access::mode::read_write>();
+    for (int j = 0; j < G; j++) {
+      exit_if_not_equal(sganyacc[j], (int)(D > R), "any");
+      exit_if_not_equal(sgallacc[j], (int)(D <= R), "all");
+    }
+
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+int main() {
+  queue Queue;
+  if (!core_sg_supported(Queue.get_device())) {
+    std::cout << "Skipping test\n";
+    return 0;
+  }
+  check(Queue, 240, 80, 3, 1);
+  check(Queue, 24, 12, 3, 4);
+  check(Queue, 1024, 256, 3, 1);
+  std::cout << "Test passed." << std::endl;
+}
diff --git a/sycl/test-e2e/SubGroupMask/Basic.cpp b/sycl/test-e2e/SubGroupMask/Basic.cpp
new file mode 100644
index 0000000000000..08a0fe1d77d7e
--- /dev/null
+++ b/sycl/test-e2e/SubGroupMask/Basic.cpp
@@ -0,0 +1,106 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// REQUIRES: gpu
+// UNSUPPORTED: hip
+// GroupNonUniformBallot capability is supported on Intel GPU only
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+//==---------- Basic.cpp - sub-group mask basic test -----------*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+constexpr int global_size = 128;
+constexpr int local_size = 32;
+int main() {
+#ifdef SYCL_EXT_ONEAPI_SUB_GROUP_MASK
+  queue Queue;
+
+  try {
+    nd_range<1> NdRange(global_size, local_size);
+    int Res = 0;
+    {
+      buffer resbuf(&Res, range<1>(1));
+
+      Queue.submit([&](handler &cgh) {
+        auto resacc = resbuf.get_access<access::mode::read_write>(cgh);
+
+        cgh.parallel_for<class sub_group_mask_test>(
+            NdRange, [=](nd_item<1> NdItem) [[intel::reqd_sub_group_size(32)]] {
+              size_t GID = NdItem.get_global_linear_id();
+              auto SG = NdItem.get_sub_group();
+              // AAAAAAAA
+              auto gmask_gid2 =
+                  ext::oneapi::group_ballot(NdItem.get_sub_group(), GID % 2);
+              // B6DB6DB6
+              auto gmask_gid3 =
+                  ext::oneapi::group_ballot(NdItem.get_sub_group(), GID % 3);
+
+              if (!GID) {
+                int res = 0;
+
+                for (size_t i = 0; i < SG.get_max_local_range()[0]; i++) {
+                  res |= !((gmask_gid2 | gmask_gid3)[i] == (i % 2 || i % 3))
+                         << 1;
+                  res |= !((gmask_gid2 & gmask_gid3)[i] == (i % 2 && i % 3))
+                         << 2;
+                  res |= !((gmask_gid2 ^ gmask_gid3)[i] ==
+                           ((bool)(i % 2) ^ (bool)(i % 3)))
+                         << 3;
+                }
+                gmask_gid2 <<= 8;
+                uint32_t r = 0;
+                gmask_gid2.extract_bits(r);
+                res |= (r != 0xaaaaaa00) << 4;
+                (gmask_gid2 >> 4).extract_bits(r);
+                res |= (r != 0x0aaaaaa0) << 5;
+                gmask_gid3.insert_bits((char)0b01010101, 8);
+                res |= (!gmask_gid3[8] || gmask_gid3[9] || !gmask_gid3[10] ||
+                        gmask_gid3[11])
+                       << 6;
+                marray<unsigned char, 6> mr{1};
+                gmask_gid3.extract_bits(mr);
+                res |= (mr[0] != 0xb6 || mr[1] != 0x55 || mr[2] != 0xdb ||
+                        mr[3] != 0xb6 || mr[4] || mr[5])
+                       << 7;
+                res |= (gmask_gid2[30] || !gmask_gid2[31]) << 8;
+                gmask_gid3[0] = gmask_gid3[3] = gmask_gid3[6] = true;
+                gmask_gid3.extract_bits(r);
+                res |= (r != 0xb6db55ff) << 9;
+                gmask_gid3.reset();
+                res |= !(gmask_gid3.none() && gmask_gid2.any() &&
+                         !gmask_gid2.all())
+                       << 10;
+                gmask_gid2.set();
+                res |=
+                    !(gmask_gid3.none() && gmask_gid2.any() && gmask_gid2.all())
+                    << 11;
+                gmask_gid3.flip();
+                res |= (gmask_gid3 != gmask_gid2) << 12;
+                resacc[0] = res;
+              }
+            });
+      });
+    }
+    if (Res) {
+      std::cout << "Unexpected result for sub_group_mask operation: " << Res
+                << std::endl;
+      exit(1);
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+
+  std::cout << "Test passed." << std::endl;
+#else
+  std::cout << "Test skipped due to missing extension." << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/SubGroupMask/GroupSize.cpp b/sycl/test-e2e/SubGroupMask/GroupSize.cpp
new file mode 100644
index 0000000000000..899ac9ca5edb3
--- /dev/null
+++ b/sycl/test-e2e/SubGroupMask/GroupSize.cpp
@@ -0,0 +1,110 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t.out
+// REQUIRES: gpu
+// UNSUPPORTED: hip
+// GroupNonUniformBallot capability is supported on Intel GPU only
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+//==- GroupSize.cpp - sub-group mask dependency on group size --*- C++ -*---==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+#ifdef SYCL_EXT_ONEAPI_SUB_GROUP_MASK
+constexpr int global_size = 128;
+constexpr int local_size = 32;
+template <size_t> class sycl_subgr;
+
+template <size_t SGSize> void test(queue Queue) {
+  std::cout << "Testing sub_group_mask for sub-group size=" << SGSize
+            << std::endl;
+  try {
+    nd_range<1> NdRange(global_size, local_size);
+    int Res[32 / SGSize] = {0};
+    {
+      buffer resbuf(Res, range<1>(32 / SGSize));
+
+      Queue.submit([&](handler &cgh) {
+        auto resacc = resbuf.template get_access<access::mode::read_write>(cgh);
+
+        cgh.parallel_for<sycl_subgr<SGSize>>(
+            NdRange, [=
+        ](nd_item<1> NdItem) [[intel::reqd_sub_group_size(SGSize)]] {
+              auto SG = NdItem.get_sub_group();
+              auto LID = SG.get_local_id();
+              auto SGID = SG.get_group_id();
+
+              auto gmask_gid2 =
+                  ext::oneapi::group_ballot(NdItem.get_sub_group(), LID % 2);
+              auto gmask_gid3 =
+                  ext::oneapi::group_ballot(NdItem.get_sub_group(), LID % 3);
+
+              if (!LID) {
+                int res = 0;
+
+                for (size_t i = 0; i < SG.get_max_local_range()[0]; i++) {
+                  res |= !((gmask_gid2 | gmask_gid3)[i] == (i % 2 || i % 3))
+                         << 1;
+                  res |= !((gmask_gid2 & gmask_gid3)[i] == (i % 2 && i % 3))
+                         << 2;
+                  res |= !((gmask_gid2 ^ gmask_gid3)[i] ==
+                           ((bool)(i % 2) ^ (bool)(i % 3)))
+                         << 3;
+                }
+                res |= (gmask_gid2.size() != SG.get_max_local_range()[0]) << 4;
+                resacc[SGID] = res;
+              }
+            });
+      });
+    }
+    for (size_t i = 0; i < 32 / SGSize; i++) {
+      if (Res[i]) {
+        std::cout
+            << "Unexpected result for sub_group_mask operation for sub-group "
+            << i << ": " << Res[i] << std::endl;
+        exit(1);
+      }
+    }
+  } catch (exception e) {
+    std::cout << "SYCL exception caught: " << e.what();
+    exit(1);
+  }
+}
+#endif // SYCL_EXT_ONEAPI_SUB_GROUP_MASK
+
+int main() {
+#ifdef SYCL_EXT_ONEAPI_SUB_GROUP_MASK
+  queue Queue;
+
+  for (const auto &x :
+       Queue.get_device().get_info<info::device::sub_group_sizes>()) {
+
+    switch (x) {
+    case 8:
+      test<8>(Queue);
+      break;
+    case 16:
+      test<16>(Queue);
+      break;
+    case 32:
+      test<32>(Queue);
+      break;
+    default:
+      std::cout << "Sub group size of " << x << " supported, but not tested."
+                << std::endl;
+      break;
+    }
+  }
+
+  std::cout << "Test passed." << std::endl;
+#else
+  std::cout << "Test skipped due to missing extension." << std::endl;
+#endif
+  return 0;
+}
diff --git a/sycl/test-e2e/TestPlans/DynamicLinkingTestPlan.md b/sycl/test-e2e/TestPlans/DynamicLinkingTestPlan.md
new file mode 100644
index 0000000000000..57ba4187544d4
--- /dev/null
+++ b/sycl/test-e2e/TestPlans/DynamicLinkingTestPlan.md
@@ -0,0 +1,181 @@
+# Test plan for dynamic linking of device code
+
+This is a test plan for device code dynamic linking feature described in
+https://github.com/intel/llvm/blob/sycl/sycl/doc/SharedLibraries.md document.
+
+## 1. Testing scope
+
+### 1.1. Device & BE coverage
+
+All of the tests described below are performed on Intel CPU and GPU devices.
+For GPU device both OpenCL and L0 backends are used.
+
+**NOTE**: The feature isn't supported on FPGA device.
+
+### 1.2. AOT & JIT compilation
+
+All the tests are compiled using AOT, JIT and mixed (AOT with JIT) compilation.
+Mixed compilation is the case when application is built using AOT and used
+shared library uses JIT or vice versa.
+
+### 1.3. Device code split modes
+
+All the tests are compiled using different combination of device code split
+mode.
+There are four possible device code split modes that can be requested via
+`fsycl-device-code-split` compiler's option:
+- `per_kernel` - device code module is created for each SYCL kernel
+- `per_source` - device code module is created for each source
+- `off` - no device code split
+- `auto` - use heuristic to select the best way of splitting device code
+
+For each test the main application and all shared libraries are compiled with
+all the variations of device code split modes. This results in four binaries for
+each application or library.
+Each tests covers all the combinations of device code split modes used for
+the application and libraries, i.e. all binaries of the application are checked
+with all binaries for shared libraries.
+For one application and one shared library examples of the combinations will be:
+- Application compiled with `per_kernel` and library compiled with `per_kernel`
+- Application compiled with `per_kernel` and library compiled with `per_source`
+- Application compiled with `per_kernel` and library compiled with `off`
+- Application compiled with `per_kernel` and library compiled with `auto`
+
+- Application compiled with `per_source` and library compiled with `per_kernel`
+- Application compiled with `per_source` and library compiled with `per_source`
+- Application compiled with `per_source` and library compiled with `off`
+- Application compiled with `per_source` and library compiled with `auto`
+
+and etc. Total 16 combinations.
+
+## 2. Tests
+
+All the tests consist of at least one main application and at least one shared
+library.
+For all the tests simple calculation is performed by the application's kernel(s)
+that used `SYCL_EXTERNAL` from the shared library. Example : addition of
+vectors.
+The result of the calculation must be checked on host.
+
+### 2.1. Basic test with shared library
+
+- Several kernels and `SYCL_EXTERNAL` functions are defined in both library and
+  application.
+- At least one `SYCL_EXTERNAL` function defined in shared library is used from
+  the application's kernel.
+- At least one `SYCL_EXTERNAL` function defined in shared library is used in
+  kernel inside the library.
+- Defined kernels are submitted and ran.
+
+### 2.2. Test with dependent shared libraries
+
+The test consists of the main application and **two** shared libraries libA and
+libB and performs the following:
+- Application defines kernel(s) with dependency on libA.
+- libA defines `SYCL_EXTERNAL` function(s) with dependency on libB.
+- libB defines `SYCL_EXTERNAL` function(s) without external dependencies.
+- Defined kernels are submitted and ran.
+
+### 2.3. Tests with function pointers
+
+#### 2.3.1. Variation 1
+
+- Application defines a function with `indirectly_callable` attribute.
+- Shared library defines host API that can receive function pointer as an
+  argument and runs a kernel that calls through passed function pointer.
+- Address of `indirectly_callable` function is taken and passed to shared
+  library's host API.
+
+#### 2.3.2. Variation 2
+
+- Shared library defines a function with `indirectly_callable` attribute.
+- Shared library defines host API that can return a function pointer to
+  a function with `indirectly_callable` attribute.
+- Application used host API of shared library and calls through received
+  function pointer from a kernel.
+
+### 2.4. Test with shared library without device code
+
+The test aimed to check that support for device code inside shared library
+doesn't break support for host-only shared library.
+
+- Shared library defines host-only non-`SYCL_EXTERNAL` function.
+- The function from shared library is used by host part of the application.
+- Application defines and runs a kernel with a simple calculation.
+
+### 2.5. Tests with run-time loaded shared library
+
+Tests aimed to check that support for dynamic linking of device code doesn't
+break run-time loading of shared library.
+
+#### 2.5.1. Variation 1
+
+The test makes sure that run-time loading of host-only shared libraries is
+not broken.
+
+- Shared library defines several host-only external functions
+- Shared library doesn't contain any device code
+- There is no explicit dependencies between application and library
+- Shared library is loaded via dlopen/LoadLibrary functionality
+- Functions from the shared library are used by host part of the application
+  to perform a simple calculation
+- Result of the simple calculation is checked
+
+#### 2.5.2. Variation 2
+
+The test makes sure that run-time loading of shared libraries with embedded
+device code is not broken.
+
+- Shared library defines several host-only external functions, several
+  `SYCL_EXTERNAL` functions and several kernels
+- There is no explicit dependencies between application and library on
+  device and host
+- Shared library is loaded via dlopen/LoadLibrary functionality
+- Host functions from the shared library are used by host part of the
+  application to perform a simple calculation
+- Result of the simple calculation is checked
+
+### 2.6. Test with two versions of shared library
+
+The test is compiled with version 1 of the shared library and ran with
+shared library of version 2.
+Code can be distributed in the same way as in basic test, but `SYCL_EXTERNAL`
+functions defined in shared library of version 2, should have a different
+definition comparing to version 1, so it is possible to check that correct
+version of the shared library were used.
+
+### 2.7. Test with kernel bundle
+
+The tests aim to check that operations with kernel bundles work correctly in
+co-existence with dynamic linking feature.
+
+#### 2.7.1. Variation 1
+
+- Shared library defines at least one `SYCL_EXTERNAL` function
+- Application defines a kernel with dependency on `SYCL_EXTERNAL` function(s)
+  from the shared library
+- Application gets a `kernel_bundle` object that contains kernel with
+  dependency (can be done via getting `kernel_id` object and using it as a
+  parameter for `get_kernel_bundle` free function overload).
+- Application builds the `kernel_bundle` object and uses it to run the kernel
+  with dependency
+
+#### 2.7.2. Variation 2
+
+- Shared library defines at least one `SYCL_EXTERNAL` function
+- Shared library defines several kernels, at least one kernel from shared
+  library uses `SYCL_EXTERNAL` function
+- Application defines a kernel with dependency on `SYCL_EXTERNAL` function(s)
+  from the shared library
+- Shared library provides a host function that returns `kernel_bundle` object
+  containing kernels from the shared library
+- Application gets a `kernel_bundle` object that contains kernel with
+  dependency and links it using link API with `kernel_bundle` that contains
+  kernels from shared library
+- Resulting `kernel_bundle` object is used to run the kernel with dependency
+  on shared library
+
+### 2.8. Test with several applications
+
+Same as [Basic test with shared library](#Basic-test-with-shared-library) but
+two or more applications using same shared library are ran at the same time.
diff --git a/sycl/test-e2e/Tracing/buffer_printers.cpp b/sycl/test-e2e/Tracing/buffer_printers.cpp
new file mode 100644
index 0000000000000..9595a99d6b4b7
--- /dev/null
+++ b/sycl/test-e2e/Tracing/buffer_printers.cpp
@@ -0,0 +1,57 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: env SYCL_PI_TRACE=2 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=2 %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+
+#include <sycl/sycl.hpp>
+#include <vector>
+
+// Test image-specific printers of the Plugin Interace
+//
+//CHECK: ---> piEnqueueMemBufferCopyRect(
+//CHECK:   pi_buff_rect_offset x_bytes/y/z : 64/5/0
+//CHECK:   pi_buff_rect_offset x_bytes/y/z : 0/0/0
+//CHECK:   pi_buff_rect_region width_bytes/height/depth : 64/5/1
+//CHECK:   pi_buff_rect_region width_bytes/height/depth : 64/5/1
+
+using namespace sycl;
+
+int main() {
+  constexpr unsigned Width = 16;
+  constexpr unsigned Height = 5;
+  constexpr unsigned Total = Width * Height;
+
+  std::vector<int> SrcData(Total * 4, 7);
+  std::vector<int> DstData(Total, 0);
+
+  queue Queue;
+  {
+    buffer<int, 2> SrcBuffer(SrcData.data(), range<2>(Height * 2, Width * 2));
+    buffer<int, 2> DstBuffer(DstData.data(), range<2>(Height, Width));
+
+    Queue.submit([&](handler &CGH) {
+      auto Read = SrcBuffer.get_access<access::mode::read>(
+          CGH, range<2>(Height, Width), id(Height, Width));
+      auto Write = DstBuffer.get_access<access::mode::write>(CGH);
+      CGH.copy(Read, Write);
+    });
+  }
+
+  // CHECK: ---> piMemBufferPartition(
+  // CHECK:   pi_buffer_region origin/size : 128/32
+
+  constexpr unsigned Size = 64;
+  std::vector<int> Data(Size);
+  {
+    sycl::buffer<int, 1> Buf(Data.data(), Size);
+    sycl::buffer<int, 1> SubBuf(Buf, Size / 2, 8);
+
+    Queue.submit([&](sycl::handler &CGH) {
+      auto Acc = SubBuf.get_access<sycl::access::mode::write>(CGH);
+      CGH.single_task<class empty_task>([=]() {});
+    });
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Tracing/image_printers.cpp b/sycl/test-e2e/Tracing/image_printers.cpp
new file mode 100644
index 0000000000000..076ff5c6c545e
--- /dev/null
+++ b/sycl/test-e2e/Tracing/image_printers.cpp
@@ -0,0 +1,41 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+//
+// Unsupported hip call on AMD
+// UNSUPPORTED: hip_amd, gpu-intel-pvc
+
+// Test image-specific printers of the Plugin Interace
+//
+// CHECK: ---> piMemImageCreate(
+// CHECK:   image_desc w/h/d : 4 / 4 / 1  --  arrSz/row/slice : 0 / 64 / 256  --  num_mip_lvls/num_smpls/image_type : 0 / 0 / 4337
+// CHECK: ---> piEnqueueMemImageRead(
+// CHECK:   pi_image_offset x/y/z : 0/0/0
+// CHECK:   pi_image_region width/height/depth : 4/4/1
+
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+int main() {
+  const sycl::image_channel_order ChanOrder = sycl::image_channel_order::rgba;
+  const sycl::image_channel_type ChanType = sycl::image_channel_type::fp32;
+
+  constexpr auto SYCLWrite = sycl::access::mode::write;
+
+  const sycl::range<2> ImgSize(4, 4);
+
+  std::vector<sycl::float4> ImgHostData(ImgSize.size(), {1, 2, 3, 4});
+
+  {
+    sycl::image<2> Img(ImgHostData.data(), ChanOrder, ChanType, ImgSize);
+    queue Q;
+    Q.submit([&](sycl::handler &CGH) {
+      auto ImgAcc = Img.get_access<sycl::float4, SYCLWrite>(CGH);
+
+      CGH.single_task<class EmptyTask>([=]() {});
+    });
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/Tracing/pi_tracing_test.cpp b/sycl/test-e2e/Tracing/pi_tracing_test.cpp
new file mode 100644
index 0000000000000..c91e93cd21856
--- /dev/null
+++ b/sycl/test-e2e/Tracing/pi_tracing_test.cpp
@@ -0,0 +1,59 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env SYCL_PI_TRACE=-1 %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=-1 %GPU_RUN_PLACEHOLDER %t.out %GPU_CHECK_PLACEHOLDER
+// RUN: env SYCL_PI_TRACE=-1 %ACC_RUN_PLACEHOLDER %t.out %ACC_CHECK_PLACEHOLDER
+//
+// XFAIL: hip_nvidia
+
+// Test tracing of the Plugin Interface
+
+// CHECK: ---> piPlatformGetInfo(
+// CHECK:  pi_platform : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK:  <char * > : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK:  <nullptr>
+// CHECK: ---> piMemBufferCreate(
+// CHECK-NEXT:  <unknown> : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-NEXT:  <unknown> : 1
+// CHECK-NEXT:  <unknown> : 40
+// CHECK-NEXT:  <unknown> : 0
+// CHECK-NEXT:  <unknown> : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK:  {{<nullptr>|0}}
+// CHECK-NEXT: ) ---> 	pi_result : PI_SUCCESS
+// CHECK-NEXT: [out]void * : {{0+}}
+// CHECK-NEXT: [out]pi_mem * : {{0[xX]?[0-9a-fA-F]*}}[ {{0[xX]?[0-9a-fA-F]*}}
+// CHECK: ---> piKernelCreate(
+// CHECK:  <const char *>: {{.*}}
+// CHECK: ---> piEnqueueKernelLaunch(
+// CHECK-NEXT:  <unknown> : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-NEXT:  <unknown> : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-NEXT:  <unknown> : 1
+// CHECK-NEXT:  <unknown> : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-NEXT:  <unknown> : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-NEXT:  <unknown> : 0
+// CHECK-NEXT:  <unknown> : 0
+// CHECK-NEXT:  pi_event * : {{0+}}[ nullptr ]
+// CHECK-NEXT:  pi_event * : {{0[xX]?[0-9a-fA-F]*}}[ {{0+}} ... ]
+// CHECK-NEXT: ) ---> 	pi_result : PI_SUCCESS
+// CHECK-NEXT: [out]pi_event * : {{0+}}[ nullptr ]
+// CHECK-NEXT: [out]pi_event * : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-SAME: [ {{0[xX]?[0-9a-fA-F]*}} ... ]
+//
+// CHECK: ---> piEventsWait(
+// CHECK-NEXT:  <unknown> : 1
+// CHECK-NEXT:  {{(const |\[out\])?}}pi_event * : {{0[xX]?[0-9a-fA-F]*}}
+// CHECK-SAME:  [ {{0[xX]?[0-9a-fA-F]*}} ... ]
+// CHECK-NEXT: ) ---> 	pi_result : PI_SUCCESS
+
+#include <sycl/sycl.hpp>
+int main() {
+  sycl::queue Queue;
+  sycl::buffer<int, 1> Buf(10);
+  sycl::event E = Queue.submit([&](sycl::handler &cgh) {
+    auto Acc = Buf.template get_access<sycl::access::mode::read_write>(cgh);
+
+    cgh.parallel_for<class CheckTraces>(10,
+                                        [=](sycl::id<1> ID) { Acc[ID] = 5; });
+  });
+  E.wait();
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/alloc_functions.cpp b/sycl/test-e2e/USM/alloc_functions.cpp
new file mode 100644
index 0000000000000..7d4b2b525b474
--- /dev/null
+++ b/sycl/test-e2e/USM/alloc_functions.cpp
@@ -0,0 +1,245 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+#include <tuple>
+
+using namespace sycl;
+
+constexpr size_t Align = 256;
+
+struct alignas(Align) Aligned {
+  int x;
+};
+
+int main() {
+  device d;
+  // Note that get_context() from a default-constructed queue would behave
+  // differently. Such a context would include multiple devices and would have
+  // to satisfly all their alignment requirement at once, effectively
+  // strictening them.
+  context ctx{d};
+  queue q{ctx, d};
+
+  auto check = [&q](size_t Alignment, auto AllocFn, int Line = __builtin_LINE(),
+                    int Case = 0) {
+    // First allocation might naturally be over-aligned. Do several of them to
+    // do the verification;
+    decltype(AllocFn()) Arr[10];
+    for (auto *&Elem : Arr)
+      Elem = AllocFn();
+    for (auto *Ptr : Arr) {
+      auto v = reinterpret_cast<uintptr_t>(Ptr);
+      if ((v & (Alignment - 1)) != 0) {
+        std::cout << "Failed at line " << Line << ", case " << Case
+                  << std::endl;
+        assert(false && "Not properly aligned!");
+        break; // To be used with commented out assert above.
+      }
+    }
+    for (auto *Ptr : Arr)
+      free(Ptr, q);
+  };
+
+  // The strictest (largest) fundamental alignment of any type is the alignment
+  // of max_align_t. This is, however, smaller than the minimal alignment
+  // returned by the underlyging runtime as of now.
+  constexpr size_t FAlign = alignof(std::max_align_t);
+
+  auto CheckAll = [&](size_t Expected, auto Funcs,
+                      int Line = __builtin_LINE()) {
+    std::apply(
+        [&](auto... Fs) {
+          int Case = 0;
+          (void)std::initializer_list<int>{
+              (check(Expected, Fs, Line, Case++), 0)...};
+        },
+        Funcs);
+  };
+
+  auto MDevice = [&](auto... args) {
+    return malloc_device(sizeof(std::max_align_t), args...);
+  };
+  CheckAll(FAlign,
+           std::tuple{[&]() { return MDevice(q); },
+                      [&]() { return MDevice(d, ctx); },
+                      [&]() { return MDevice(q, property_list{}); },
+                      [&]() { return MDevice(d, ctx, property_list{}); }});
+
+  auto MHost = [&](auto... args) {
+    return malloc_host(sizeof(std::max_align_t), args...);
+  };
+  CheckAll(FAlign,
+           std::tuple{[&]() { return MHost(q); }, [&]() { return MHost(ctx); },
+                      [&]() { return MHost(q, property_list{}); },
+                      [&]() { return MHost(ctx, property_list{}); }});
+
+  auto MShared = [&](auto... args) {
+    return malloc_shared(sizeof(std::max_align_t), args...);
+  };
+  CheckAll(FAlign,
+           std::tuple{[&]() { return MShared(q); },
+                      [&]() { return MShared(d, ctx); },
+                      [&]() { return MShared(q, property_list{}); },
+                      [&]() { return MShared(d, ctx, property_list{}); }});
+
+  auto ADevice = [&](size_t Align, auto... args) {
+    return aligned_alloc_device(Align, sizeof(std::max_align_t), args...);
+  };
+  CheckAll(FAlign,
+           std::tuple{
+               [&]() { return ADevice(FAlign / 2, q); },
+               [&]() { return ADevice(FAlign / 2, d, ctx); },
+               [&]() { return ADevice(FAlign / 2, q, property_list{}); },
+               [&]() { return ADevice(FAlign / 2, d, ctx, property_list{}); }});
+  CheckAll(
+      Align,
+      std::tuple{[&]() { return ADevice(Align, q); },
+                 [&]() { return ADevice(Align, d, ctx); },
+                 [&]() { return ADevice(Align, q, property_list{}); },
+                 [&]() { return ADevice(Align, d, ctx, property_list{}); }});
+
+  auto AHost = [&](size_t Align, auto... args) {
+    return aligned_alloc_host(Align, sizeof(std::max_align_t), args...);
+  };
+  CheckAll(
+      FAlign,
+      std::tuple{[&]() { return AHost(FAlign / 2, q); },
+                 [&]() { return AHost(FAlign / 2, ctx); },
+                 [&]() { return AHost(FAlign / 2, q, property_list{}); },
+                 [&]() { return AHost(FAlign / 2, ctx, property_list{}); }});
+  CheckAll(Align,
+           std::tuple{[&]() { return AHost(Align, q); },
+                      [&]() { return AHost(Align, ctx); },
+                      [&]() { return AHost(Align, q, property_list{}); },
+                      [&]() { return AHost(Align, ctx, property_list{}); }});
+
+  auto AShared = [&](size_t Align, auto... args) {
+    return aligned_alloc_shared(Align, sizeof(std::max_align_t), args...);
+  };
+  CheckAll(FAlign,
+           std::tuple{
+               [&]() { return AShared(FAlign / 2, q); },
+               [&]() { return AShared(FAlign / 2, d, ctx); },
+               [&]() { return AShared(FAlign / 2, q, property_list{}); },
+               [&]() { return AShared(FAlign / 2, d, ctx, property_list{}); }});
+  CheckAll(
+      Align,
+      std::tuple{[&]() { return AShared(Align, q); },
+                 [&]() { return AShared(Align, d, ctx); },
+                 [&]() { return AShared(Align, q, property_list{}); },
+                 [&]() { return AShared(Align, d, ctx, property_list{}); }});
+
+  auto TDevice = [&](auto... args) {
+    return malloc_device<Aligned>(1, args...);
+  };
+  CheckAll(Align, std::tuple{[&]() { return TDevice(q); },
+                             [&]() { return TDevice(d, ctx); }});
+
+  auto THost = [&](auto... args) { return malloc_host<Aligned>(1, args...); };
+  CheckAll(Align, std::tuple{[&]() { return THost(q); },
+                             [&]() { return THost(ctx); }});
+
+  auto TShared = [&](auto... args) {
+    return malloc_shared<Aligned>(1, args...);
+  };
+  CheckAll(Align, std::tuple{[&]() { return TShared(q); },
+                             [&]() { return TShared(d, ctx); }});
+
+  auto ATDevice = [&](size_t Align, auto... args) {
+    return aligned_alloc_device<Aligned>(Align, 1, args...);
+  };
+  CheckAll(Align, std::tuple{[&]() { return ATDevice(Align / 2, q); },
+                             [&]() { return ATDevice(Align / 2, d, ctx); }});
+  CheckAll(Align * 2,
+           std::tuple{[&]() { return ATDevice(Align * 2, q); },
+                      [&]() { return ATDevice(Align * 2, d, ctx); }});
+
+  auto ATHost = [&](size_t Align, auto... args) {
+    return aligned_alloc_host<Aligned>(Align, 1, args...);
+  };
+  CheckAll(Align, std::tuple{[&]() { return ATHost(Align / 2, q); },
+                             [&]() { return ATHost(Align / 2, ctx); }});
+  CheckAll(Align * 2, std::tuple{[&]() { return ATHost(Align * 2, q); },
+                                 [&]() { return ATHost(Align * 2, ctx); }});
+
+  auto ATShared = [&](size_t Align, auto... args) {
+    return aligned_alloc_shared<Aligned>(Align, 1, args...);
+  };
+  CheckAll(Align, std::tuple{[&]() { return ATShared(Align / 2, q); },
+                             [&]() { return ATShared(Align / 2, d, ctx); }});
+  CheckAll(Align * 2,
+           std::tuple{[&]() { return ATShared(Align * 2, q); },
+                      [&]() { return ATShared(Align * 2, d, ctx); }});
+
+  auto Malloc = [&](auto... args) {
+    return malloc(sizeof(std::max_align_t), args...);
+  };
+  CheckAll(
+      FAlign,
+      std::tuple{
+          [&]() { return Malloc(q, usm::alloc::host); },
+          [&]() { return Malloc(d, ctx, usm::alloc::host); },
+          [&]() { return Malloc(q, usm::alloc::host, property_list{}); },
+          [&]() { return Malloc(d, ctx, usm::alloc::host, property_list{}); }});
+
+  auto TMalloc = [&](auto... args) { return malloc<Aligned>(1, args...); };
+  CheckAll(Align,
+           std::tuple{[&]() { return TMalloc(q, usm::alloc::host); },
+                      [&]() { return TMalloc(d, ctx, usm::alloc::host); }});
+
+  auto AMalloc = [&](size_t Align, auto... args) {
+    return aligned_alloc(Align, sizeof(std::max_align_t), args...);
+  };
+  CheckAll(FAlign,
+           std::tuple{
+               [&]() { return AMalloc(FAlign / 2, q, usm::alloc::host); },
+               [&]() { return AMalloc(FAlign / 2, d, ctx, usm::alloc::host); },
+               [&]() {
+                 return AMalloc(FAlign / 2, q, usm::alloc::host,
+                                property_list{});
+               },
+               [&]() {
+                 return AMalloc(FAlign / 2, d, ctx, usm::alloc::host,
+                                property_list{});
+               }});
+  CheckAll(
+      Align,
+      std::tuple{[&]() { return AMalloc(Align, q, usm::alloc::host); },
+                 [&]() { return AMalloc(Align, d, ctx, usm::alloc::host); },
+                 [&]() {
+                   return AMalloc(Align, q, usm::alloc::host, property_list{});
+                 },
+                 [&]() {
+                   return AMalloc(Align, d, ctx, usm::alloc::host,
+                                  property_list{});
+                 }});
+
+  auto ATMalloc = [&](size_t Align, auto... args) {
+    return aligned_alloc<Aligned>(Align, 1, args...);
+  };
+  CheckAll(
+      Align,
+      std::tuple{
+          [&]() { return ATMalloc(Align / 2, q, usm::alloc::host); },
+          [&]() { return ATMalloc(Align / 2, d, ctx, usm::alloc::host); }});
+  CheckAll(
+      Align * 2,
+      std::tuple{
+          [&]() { return ATMalloc(Align * 2, q, usm::alloc::host); },
+          [&]() { return ATMalloc(Align * 2, d, ctx, usm::alloc::host); }});
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/allocator_container.cpp b/sycl/test-e2e/USM/allocator_container.cpp
new file mode 100644
index 0000000000000..34898d41e4206
--- /dev/null
+++ b/sycl/test-e2e/USM/allocator_container.cpp
@@ -0,0 +1,62 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------ allocator_container.cpp - USM allocator in containers test ------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+constexpr int N = 100;
+
+template <usm::alloc AllocMode, class KernelName>
+void runTest(device dev, context ctxt, queue q) {
+  usm_allocator<int, AllocMode> alloc(ctxt, dev);
+
+  std::vector<int, decltype(alloc)> vec(alloc);
+  vec.resize(N);
+
+  for (int i = 0; i < N; i++) {
+    vec[i] = i;
+  }
+
+  int *vals = &vec[0];
+
+  q.submit([=](handler &h) {
+     h.single_task<KernelName>([=]() {
+       for (int i = 1; i < N; i++) {
+         vals[0] += vals[i];
+       }
+     });
+   }).wait();
+
+  assert(vals[0] == ((N * (N - 1)) / 2));
+}
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    runTest<usm::alloc::shared, class shared_test>(dev, ctxt, q);
+  }
+
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    runTest<usm::alloc::host, class host_test>(dev, ctxt, q);
+  }
+
+  // usm::alloc::device is not supported by usm_allocator
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/allocator_equal.cpp b/sycl/test-e2e/USM/allocator_equal.cpp
new file mode 100644
index 0000000000000..118177e258cb6
--- /dev/null
+++ b/sycl/test-e2e/USM/allocator_equal.cpp
@@ -0,0 +1,51 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---------- allocator_equal.cpp - Allocator Equality test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  queue q2;
+  auto dev2 = q2.get_device();
+  auto ctxt2 = q2.get_context();
+
+  // Test allocator equality
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    usm_allocator<int, usm::alloc::host> alloc1(ctxt, dev);
+    usm_allocator<int, usm::alloc::host> alloc2(q);
+
+    assert((alloc1 == alloc2) && "Allocators should be equal.");
+
+    usm_allocator<int, usm::alloc::host, 8> alloc3(ctxt, dev);
+    usm_allocator<int, usm::alloc::host, 16> alloc4(q);
+
+    assert((alloc1 == alloc2) && "Allocators should be equal.");
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>() &&
+      dev.get_info<info::device::usm_host_allocations>()) {
+    usm_allocator<int, usm::alloc::shared> alloc1(ctxt, dev);
+    usm_allocator<int, usm::alloc::host> alloc2(ctxt, dev);
+
+    assert((alloc1 != alloc2) && "Allocators should NOT be equal.");
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/allocator_rebind.cpp b/sycl/test-e2e/USM/allocator_rebind.cpp
new file mode 100644
index 0000000000000..9cc149cd9bdd6
--- /dev/null
+++ b/sycl/test-e2e/USM/allocator_rebind.cpp
@@ -0,0 +1,80 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------------------------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <iostream>
+
+using namespace sycl;
+
+// Allocator has a minimum internal alignment of 64, so use higher values for
+// the purpose of this test.
+struct alignas(256) Aligned256 {
+  int x;
+};
+struct alignas(128) Aligned128 {
+  int x;
+};
+
+template <class Allocator>
+void test(Allocator alloc, size_t Align, int Line = __builtin_LINE()) {
+  decltype(alloc.allocate(1)) Ptrs[10];
+  for (auto *&Elem : Ptrs)
+    Elem = alloc.allocate(1);
+
+  for (auto *Ptr : Ptrs) {
+    if ((reinterpret_cast<uintptr_t>(Ptr) & (Align - 1)) != 0) {
+      std::cout << "Failed at line " << Line << std::endl;
+      assert(false && "Not properly aligned!");
+    }
+  }
+
+  for (auto *Ptr : Ptrs)
+    alloc.deallocate(Ptr, 1);
+}
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctx = q.get_context();
+
+  if (!dev.get_info<info::device::usm_host_allocations>())
+    return 0;
+
+  // There was a bug that we didn't re-adjust allocator's alignment when we
+  // rebound it to another type.
+  {
+    // Test default value of Alignment template parameter.
+    usm_allocator<Aligned128, usm::alloc::host> alloc(ctx, dev);
+    test(alloc, 128);
+
+    using traits_t = std::allocator_traits<decltype(alloc)>;
+    using rebind_t = typename traits_t::template rebind_alloc<Aligned256>;
+    rebind_t alloc_rebound = alloc;
+    test(alloc_rebound, 256);
+  }
+
+  {
+    // Test explicit value of Alignment template parameter.
+    usm_allocator<Aligned256, usm::alloc::host, 256> alloc(ctx, dev);
+    test(alloc, 256);
+    using traits_t = std::allocator_traits<decltype(alloc)>;
+    using rebind_t = typename traits_t::template rebind_alloc<Aligned128>;
+    rebind_t alloc_rebound = alloc;
+    // Rebound allocator must use the higher alignment from the explicit
+    // template parameter, not the type's alignment.
+    test(alloc_rebound, 256);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/allocator_shared.cpp b/sycl/test-e2e/USM/allocator_shared.cpp
new file mode 100644
index 0000000000000..a95fe96ff4968
--- /dev/null
+++ b/sycl/test-e2e/USM/allocator_shared.cpp
@@ -0,0 +1,49 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==-------- allocator_shared.cpp - Allocate Shared test -------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <memory>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  // Test ability to create a shared pointer.
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    usm_allocator<int, usm::alloc::host> alloc(ctxt, dev);
+    auto ptr1 = std::allocate_shared<int>(alloc);
+
+    // Test construction
+    auto ptr2 = std::allocate_shared<int>(alloc, 42);
+    assert((*ptr2 == 42) && "Host construct passed.");
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    usm_allocator<int, usm::alloc::shared> alloc(ctxt, dev);
+    auto ptr1 = std::allocate_shared<int>(alloc);
+
+    // Test construction
+    auto ptr2 = std::allocate_shared<int>(alloc, 42);
+    assert((*ptr2 == 42) && "Shared construct passed.");
+  }
+
+  // Device allocations are not supported due to how allocated_shared is
+  // written.
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/allocator_vector.cpp b/sycl/test-e2e/USM/allocator_vector.cpp
new file mode 100644
index 0000000000000..9e4a135cb8f4b
--- /dev/null
+++ b/sycl/test-e2e/USM/allocator_vector.cpp
@@ -0,0 +1,87 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+//
+//==---- allocator_vector.cpp - Allocator Container test -------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <vector>
+
+using namespace sycl;
+
+const int N = 8;
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    usm_allocator<int, usm::alloc::host> alloc(ctxt, dev);
+
+    std::vector<int, decltype(alloc)> vec(alloc);
+    vec.resize(N);
+
+    for (int i = 0; i < N; i++) {
+      vec[i] = i;
+    }
+
+    int *res = &vec[0];
+    int *vals = &vec[0];
+
+    auto e1 = q.submit([=](handler &h) {
+      h.single_task<class foo>([=]() {
+        for (int i = 1; i < N; i++) {
+          res[0] += vals[i];
+        }
+      });
+    });
+
+    e1.wait();
+
+    int answer = (N * (N - 1)) / 2;
+
+    if (vec[0] != answer)
+      return -1;
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    usm_allocator<int, usm::alloc::shared> alloc(ctxt, dev);
+
+    std::vector<int, decltype(alloc)> vec(alloc);
+    vec.resize(N);
+
+    for (int i = 0; i < N; i++) {
+      vec[i] = i;
+    }
+
+    int *res = &vec[0];
+    int *vals = &vec[0];
+
+    auto e1 = q.submit([=](handler &h) {
+      h.single_task<class bar>([=]() {
+        for (int i = 1; i < N; i++) {
+          res[0] += vals[i];
+        }
+      });
+    });
+
+    e1.wait();
+
+    int answer = (N * (N - 1)) / 2;
+
+    if (vec[0] != answer)
+      return -1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/badmalloc.cpp b/sycl/test-e2e/USM/badmalloc.cpp
new file mode 100644
index 0000000000000..079b74ae3ccca
--- /dev/null
+++ b/sycl/test-e2e/USM/badmalloc.cpp
@@ -0,0 +1,75 @@
+// UNSUPPORTED: windows
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+// UNSUPPORTED: ze_debug-1,ze_debug4
+
+//==----------------- badmalloc.cpp - Bad Mallocs test ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// This test verifies that things fail in the proper way when they should.
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main(int argc, char *argv[]) {
+  queue q;
+
+  // Good size, bad type
+  auto p = malloc(8, q, usm::alloc::unknown);
+  if (p != nullptr)
+    return 1;
+
+  // Bad size, host
+  p = malloc(-1, q, usm::alloc::host);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 2;
+  p = malloc(-1, q, usm::alloc::device);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 3;
+  p = malloc(-1, q, usm::alloc::shared);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 4;
+  p = malloc(-1, q, usm::alloc::unknown);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 5;
+
+  // Bad size, auto aligned
+  p = aligned_alloc(0, -1, q, usm::alloc::host);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 6;
+  p = aligned_alloc(0, -1, q, usm::alloc::device);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 7;
+  p = aligned_alloc(0, -1, q, usm::alloc::shared);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 8;
+  p = aligned_alloc(0, -1, q, usm::alloc::unknown);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 9;
+
+  // Allocs of 0 undefined, but bad type
+  p = aligned_alloc(4, 0, q, usm::alloc::unknown);
+  std::cout << "p = " << p << std::endl;
+  if (p != nullptr)
+    return 10;
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/buffer_location.cpp b/sycl/test-e2e/USM/buffer_location.cpp
new file mode 100644
index 0000000000000..fecbe5df67bd7
--- /dev/null
+++ b/sycl/test-e2e/USM/buffer_location.cpp
@@ -0,0 +1,76 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- buffer_location.cpp - USM buffer location ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <memory>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// Pointer wrapper allows custom deleter to clean up resources
+struct ptr_wrapper {
+  sycl::context m_ctx;
+  int *m_ptr;
+  ptr_wrapper(sycl::context ctx, int *ptr) {
+    m_ctx = ctx;
+    m_ptr = ptr;
+  }
+  ~ptr_wrapper() { sycl::free(m_ptr, m_ctx); }
+};
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_device_allocations>())
+    return 0;
+
+  int true_buf_loc = 3;
+  auto test_src_ptr_unq = std::unique_ptr<ptr_wrapper>(new ptr_wrapper(
+      ctxt, malloc_device<int>(
+                1, dev, ctxt,
+                property_list{
+                    ext::intel::experimental::property::usm::buffer_location(
+                        true_buf_loc)})));
+  if (test_src_ptr_unq == nullptr) {
+    return -1;
+  }
+  auto test_dst_ptr_unq = std::unique_ptr<ptr_wrapper>(new ptr_wrapper(
+      ctxt, malloc_device<int>(
+                1, dev, ctxt,
+                property_list{
+                    ext::intel::experimental::property::usm::buffer_location(
+                        true_buf_loc)})));
+  if (test_dst_ptr_unq == nullptr) {
+    return -1;
+  }
+  int src_val = 3;
+  int dst_val = 4;
+  int *test_src_ptr = test_src_ptr_unq.get()->m_ptr;
+  int *test_dst_ptr = test_dst_ptr_unq.get()->m_ptr;
+  event e0 = q.memcpy(test_src_ptr, &src_val, sizeof(int));
+  e0.wait();
+  event e1 = q.memcpy(test_dst_ptr, &dst_val, sizeof(int));
+  e1.wait();
+
+  auto e2 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() { *test_src_ptr = *test_dst_ptr; });
+  });
+  e2.wait();
+
+  if (*test_src_ptr != dst_val) {
+    return -1;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/copy.cpp b/sycl/test-e2e/USM/copy.cpp
new file mode 100644
index 0000000000000..616168ff70a82
--- /dev/null
+++ b/sycl/test-e2e/USM/copy.cpp
@@ -0,0 +1,267 @@
+//==---- copy.cpp - USM copy test ------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-device-code-split=per_kernel %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::usm;
+
+template <typename T> class transfer;
+
+static constexpr int N = 100; // should be even
+
+struct test_struct_minimum {
+  short a;
+  int b;
+  long c;
+  long long d;
+  float f;
+};
+
+bool operator==(const test_struct_minimum &lhs,
+                const test_struct_minimum &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.f == rhs.f;
+}
+
+struct test_struct_all : public test_struct_minimum {
+  sycl::half e;
+  double g;
+};
+
+bool operator==(const test_struct_all &lhs, const test_struct_all &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.e == rhs.e && lhs.f == rhs.f && lhs.g == rhs.g;
+}
+
+struct test_struct_half : public test_struct_minimum {
+  sycl::half e;
+};
+
+bool operator==(const test_struct_half &lhs, const test_struct_half &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.e == rhs.e && lhs.f == rhs.f;
+}
+
+struct test_struct_double : public test_struct_minimum {
+  double g;
+};
+
+bool operator==(const test_struct_double &lhs, const test_struct_double &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.f == rhs.f && lhs.g == rhs.g;
+}
+
+template <typename T> T *regular(queue q, alloc kind) {
+  return malloc<T>(N, q, kind);
+}
+
+template <typename T> T *aligned(queue q, alloc kind) {
+  return aligned_alloc<T>(alignof(long long), N, q, kind);
+}
+
+template <typename T> void test(queue q, T val, T *src, T *dst, bool dev_dst) {
+  if (std::is_same_v<T, double> && !q.get_device().has(aspect::fp64))
+    return;
+
+  q.fill(src, val, N).wait();
+
+  // Use queue::copy for the first half and handler::copy for the second
+  q.copy(src, dst, N / 2).wait();
+  q.submit([&](handler &h) { h.copy(src + N / 2, dst + N / 2, N / 2); }).wait();
+
+  T *out = dst;
+
+  std::array<T, N> arr;
+  if (dev_dst) { // if copied to device, transfer data back to host
+    buffer buf{arr};
+    q.submit([&](handler &h) {
+      accessor acc{buf, h};
+      h.parallel_for<transfer<T>>(N, [=](id<1> i) { acc[i] = dst[i]; });
+    });
+    out = arr.data();
+  }
+
+  for (int i = 0; i < N; ++i) {
+    assert(out[i] == val);
+  }
+
+  free(src, q);
+  free(dst, q);
+}
+
+template <typename T> void runTests(queue q, T val, alloc kind1, alloc kind2) {
+  bool dev_dst1 = (kind1 == alloc::device);
+  bool dev_dst2 = (kind2 == alloc::device);
+  test(q, val, regular<T>(q, kind1), regular<T>(q, kind2), dev_dst2);
+  test(q, val, regular<T>(q, kind2), regular<T>(q, kind1), dev_dst1);
+  test(q, val, aligned<T>(q, kind1), aligned<T>(q, kind2), dev_dst2);
+  test(q, val, aligned<T>(q, kind2), aligned<T>(q, kind1), dev_dst1);
+  test(q, val, regular<T>(q, kind1), aligned<T>(q, kind2), dev_dst2);
+  test(q, val, regular<T>(q, kind2), aligned<T>(q, kind1), dev_dst1);
+  test(q, val, aligned<T>(q, kind1), regular<T>(q, kind2), dev_dst2);
+  test(q, val, aligned<T>(q, kind2), regular<T>(q, kind1), dev_dst1);
+}
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+
+  const bool DoublesSupported = dev.has(sycl::aspect::fp64);
+  const bool HalfsSupported = dev.has(sycl::aspect::fp16);
+
+  test_struct_all test_obj_all{4, 42, 424, 4242, 4.2f, 4.242, 4.24242};
+  test_struct_half test_obj_half{4, 42, 424, 4242, 4.2f, 4.242};
+  test_struct_double test_obj_double{4, 42, 424, 4242, 4.242, 4.24242};
+  test_struct_minimum test_obj_minimum{4, 42, 424, 4242, 4.242};
+
+  if (dev.has(aspect::usm_host_allocations)) {
+    runTests<short>(q, 4, alloc::host, alloc::host);
+    runTests<int>(q, 42, alloc::host, alloc::host);
+    runTests<long>(q, 424, alloc::host, alloc::host);
+    runTests<long long>(q, 4242, alloc::host, alloc::host);
+    if (HalfsSupported)
+      runTests<half>(q, half(4.2f), alloc::host, alloc::host);
+    runTests<float>(q, 4.242f, alloc::host, alloc::host);
+    if (DoublesSupported)
+      runTests<double>(q, 4.24242, alloc::host, alloc::host);
+    if (HalfsSupported && DoublesSupported)
+      runTests<test_struct_all>(q, test_obj_all, alloc::host, alloc::host);
+    else if (HalfsSupported)
+      runTests<test_struct_half>(q, test_obj_half, alloc::host, alloc::host);
+    else if (DoublesSupported)
+      runTests<test_struct_double>(q, test_obj_double, alloc::host,
+                                   alloc::host);
+    else
+      runTests<test_struct_minimum>(q, test_obj_minimum, alloc::host,
+                                    alloc::host);
+  }
+
+  if (dev.has(aspect::usm_shared_allocations)) {
+    runTests<short>(q, 4, alloc::shared, alloc::shared);
+    runTests<int>(q, 42, alloc::shared, alloc::shared);
+    runTests<long>(q, 424, alloc::shared, alloc::shared);
+    runTests<long long>(q, 4242, alloc::shared, alloc::shared);
+    if (HalfsSupported)
+      runTests<half>(q, half(4.2f), alloc::shared, alloc::shared);
+    runTests<float>(q, 4.242f, alloc::shared, alloc::shared);
+    if (DoublesSupported)
+      runTests<double>(q, 4.24242, alloc::shared, alloc::shared);
+    if (HalfsSupported && DoublesSupported)
+      runTests<test_struct_all>(q, test_obj_all, alloc::shared, alloc::shared);
+    else if (HalfsSupported)
+      runTests<test_struct_half>(q, test_obj_half, alloc::shared,
+                                 alloc::shared);
+    else if (DoublesSupported)
+      runTests<test_struct_double>(q, test_obj_double, alloc::shared,
+                                   alloc::shared);
+    else
+      runTests<test_struct_minimum>(q, test_obj_minimum, alloc::shared,
+                                    alloc::shared);
+  }
+
+  if (dev.has(aspect::usm_device_allocations)) {
+    runTests<short>(q, 4, alloc::device, alloc::device);
+    runTests<int>(q, 42, alloc::device, alloc::device);
+    runTests<long>(q, 424, alloc::device, alloc::device);
+    runTests<long long>(q, 4242, alloc::device, alloc::device);
+    if (HalfsSupported)
+      runTests<half>(q, half(4.2f), alloc::device, alloc::device);
+    runTests<float>(q, 4.242f, alloc::device, alloc::device);
+    if (DoublesSupported)
+      runTests<double>(q, 4.24242, alloc::device, alloc::device);
+    if (HalfsSupported && DoublesSupported)
+      runTests<test_struct_all>(q, test_obj_all, alloc::device, alloc::device);
+    else if (HalfsSupported)
+      runTests<test_struct_half>(q, test_obj_half, alloc::device,
+                                 alloc::device);
+    else if (DoublesSupported)
+      runTests<test_struct_double>(q, test_obj_double, alloc::device,
+                                   alloc::device);
+    else
+      runTests<test_struct_minimum>(q, test_obj_minimum, alloc::device,
+                                    alloc::device);
+  }
+
+  if (dev.has(aspect::usm_host_allocations) &&
+      dev.has(aspect::usm_shared_allocations)) {
+    runTests<short>(q, 4, alloc::host, alloc::shared);
+    runTests<int>(q, 42, alloc::host, alloc::shared);
+    runTests<long>(q, 424, alloc::host, alloc::shared);
+    runTests<long long>(q, 4242, alloc::host, alloc::shared);
+    if (HalfsSupported)
+      runTests<half>(q, half(4.2f), alloc::host, alloc::shared);
+    runTests<float>(q, 4.242f, alloc::host, alloc::shared);
+    if (DoublesSupported)
+      runTests<double>(q, 4.24242, alloc::host, alloc::shared);
+    if (HalfsSupported && DoublesSupported)
+      runTests<test_struct_all>(q, test_obj_all, alloc::host, alloc::shared);
+    else if (HalfsSupported)
+      runTests<test_struct_half>(q, test_obj_half, alloc::host, alloc::shared);
+    else if (DoublesSupported)
+      runTests<test_struct_double>(q, test_obj_double, alloc::host,
+                                   alloc::shared);
+    else
+      runTests<test_struct_minimum>(q, test_obj_minimum, alloc::host,
+                                    alloc::shared);
+  }
+
+  if (dev.has(aspect::usm_host_allocations) &&
+      dev.has(aspect::usm_device_allocations)) {
+    runTests<short>(q, 4, alloc::host, alloc::device);
+    runTests<int>(q, 42, alloc::host, alloc::device);
+    runTests<long>(q, 424, alloc::host, alloc::device);
+    runTests<long long>(q, 4242, alloc::host, alloc::device);
+    if (HalfsSupported)
+      runTests<half>(q, half(4.2f), alloc::host, alloc::device);
+    runTests<float>(q, 4.242f, alloc::host, alloc::device);
+    if (DoublesSupported)
+      runTests<double>(q, 4.24242, alloc::host, alloc::device);
+    if (HalfsSupported && DoublesSupported)
+      runTests<test_struct_all>(q, test_obj_all, alloc::host, alloc::device);
+    else if (HalfsSupported)
+      runTests<test_struct_half>(q, test_obj_half, alloc::host, alloc::device);
+    else if (DoublesSupported)
+      runTests<test_struct_double>(q, test_obj_double, alloc::host,
+                                   alloc::device);
+    else
+      runTests<test_struct_minimum>(q, test_obj_minimum, alloc::host,
+                                    alloc::device);
+  }
+
+  if (dev.has(aspect::usm_shared_allocations) &&
+      dev.has(aspect::usm_device_allocations)) {
+    runTests<short>(q, 4, alloc::shared, alloc::device);
+    runTests<int>(q, 42, alloc::shared, alloc::device);
+    runTests<long>(q, 424, alloc::shared, alloc::device);
+    runTests<long long>(q, 4242, alloc::shared, alloc::device);
+    if (HalfsSupported)
+      runTests<half>(q, half(4.2f), alloc::shared, alloc::device);
+    runTests<float>(q, 4.242f, alloc::shared, alloc::device);
+    if (DoublesSupported)
+      runTests<double>(q, 4.24242, alloc::shared, alloc::device);
+    if (HalfsSupported && DoublesSupported)
+      runTests<test_struct_all>(q, test_obj_all, alloc::shared, alloc::device);
+    else if (HalfsSupported)
+      runTests<test_struct_half>(q, test_obj_half, alloc::shared,
+                                 alloc::device);
+    else if (DoublesSupported)
+      runTests<test_struct_double>(q, test_obj_double, alloc::shared,
+                                   alloc::device);
+    else
+      runTests<test_struct_minimum>(q, test_obj_minimum, alloc::shared,
+                                    alloc::device);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/copy2d.cpp b/sycl/test-e2e/USM/copy2d.cpp
new file mode 100644
index 0000000000000..9558717e0ccbe
--- /dev/null
+++ b/sycl/test-e2e/USM/copy2d.cpp
@@ -0,0 +1,476 @@
+//==---- copy2d.cpp - USM 2D copy test -------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Temporarily disabled until the failure is addressed.
+// UNSUPPORTED: gpu-intel-pvc || (level_zero && windows)
+
+#include <sycl/sycl.hpp>
+
+#include "memops2d_utils.hpp"
+
+using namespace sycl;
+
+constexpr size_t RECT_WIDTH = 30;
+constexpr size_t RECT_HEIGHT = 21;
+
+template <typename T, OperationPath PathKind>
+event doCopy2D(queue &Q, const T *Src, size_t SrcPitch, T *Dest,
+               size_t DestPitch, size_t Width, size_t Height,
+               std::vector<event> DepEvents) {
+  if constexpr (PathKind == OperationPath::Expanded) {
+    sycl::event::wait(DepEvents);
+    return Q.submit([&](handler &CGH) {
+      CGH.ext_oneapi_copy2d(Src, SrcPitch, Dest, DestPitch, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ExpandedDependsOn) {
+    return Q.submit([&](handler &CGH) {
+      CGH.depends_on(DepEvents);
+      CGH.ext_oneapi_copy2d(Src, SrcPitch, Dest, DestPitch, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ShortcutNoEvent) {
+    sycl::event::wait(DepEvents);
+    return Q.ext_oneapi_copy2d(Src, SrcPitch, Dest, DestPitch, Width, Height);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutOneEvent) {
+    assert(DepEvents.size() && "No events in dependencies!");
+    // wait on all other events than the first.
+    for (size_t I = 1; I < DepEvents.size(); ++I)
+      DepEvents[I].wait();
+    return Q.ext_oneapi_copy2d(Src, SrcPitch, Dest, DestPitch, Width, Height,
+                               DepEvents[0]);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutEventList) {
+    return Q.ext_oneapi_copy2d(Src, SrcPitch, Dest, DestPitch, Width, Height,
+                               DepEvents);
+  }
+}
+
+template <typename T, Alloc SrcAllocKind, Alloc DstAllocKind,
+          OperationPath PathKind>
+int test(queue &Q, T ExpectedVal1, T ExpectedVal2) {
+  int Failures = 0;
+
+  // Test 1 - 2D copy entire buffer.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc, ExpectedVal1, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    doCopy2D<T, PathKind>(Q, USMMemSrc, RECT_WIDTH, USMMemDst, RECT_WIDTH,
+                          RECT_WIDTH, RECT_HEIGHT,
+                          {SrcFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal1, I, "Test 1")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 2 - 2D copy to vertically adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = 2 * SRC_ELEMS;
+
+    T *USMMemSrc1 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemSrc2 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event Src1FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc1, ExpectedVal1, SRC_ELEMS);
+    event Src2FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc2, ExpectedVal2, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    event FirstCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc1, RECT_WIDTH, USMMemDst, RECT_WIDTH, RECT_WIDTH,
+        RECT_HEIGHT, {Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    doCopy2D<T, PathKind>(
+        Q, USMMemSrc2, RECT_WIDTH, USMMemDst + SRC_ELEMS, RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, Src1FillEvent, Src2FillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = I >= SRC_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 2")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc1, Q);
+    free<SrcAllocKind>(USMMemSrc2, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 3 - 2D copy to horizontally adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = 2 * SRC_ELEMS;
+
+    T *USMMemSrc1 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemSrc2 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event Src1FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc1, ExpectedVal1, SRC_ELEMS);
+    event Src2FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc2, ExpectedVal2, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    event FirstCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc1, RECT_WIDTH, USMMemDst, 2 * RECT_WIDTH, RECT_WIDTH,
+        RECT_HEIGHT, {Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    doCopy2D<T, PathKind>(
+        Q, USMMemSrc2, RECT_WIDTH, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, Src1FillEvent, Src2FillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = (I / RECT_WIDTH) % 2 ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 3")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc1, Q);
+    free<SrcAllocKind>(USMMemSrc2, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 4 - 2D copy to 2x2 grid of rectangles.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = 4 * SRC_ELEMS;
+
+    T *USMMemSrc1 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemSrc2 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event Src1FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc1, ExpectedVal1, SRC_ELEMS);
+    event Src2FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc2, ExpectedVal2, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    // Top left rectangle.
+    event FirstCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc1, RECT_WIDTH, USMMemDst, 2 * RECT_WIDTH, RECT_WIDTH,
+        RECT_HEIGHT, {Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    // Top right rectangle.
+    event SecondCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc2, RECT_WIDTH, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    // Bottom left rectangle.
+    event ThirdCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc2, RECT_WIDTH, USMMemDst + 2 * SRC_ELEMS, 2 * RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, SecondCopyEvent, Src1FillEvent, Src2FillEvent,
+         DstMemsetEvent});
+    // Bottom right rectangle.
+    doCopy2D<T, PathKind>(Q, USMMemSrc1, RECT_WIDTH,
+                          USMMemDst + 2 * SRC_ELEMS + RECT_WIDTH,
+                          2 * RECT_WIDTH, RECT_WIDTH, RECT_HEIGHT,
+                          {FirstCopyEvent, SecondCopyEvent, ThirdCopyEvent,
+                           Src1FillEvent, Src2FillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = ((I / RECT_WIDTH) + (I / (2 * SRC_ELEMS))) % 2
+                          ? ExpectedVal2
+                          : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 4")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc1, Q);
+    free<SrcAllocKind>(USMMemSrc2, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 5 - 2D copy from vertically adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS / 2;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst1 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst2 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill_with<SrcAllocKind>(Q, USMMemSrc, SRC_ELEMS, [=](size_t I) {
+          return I < DST_ELEMS ? ExpectedVal1 : ExpectedVal2;
+        });
+    event Dst1MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst1, 0, DST_ELEMS * sizeof(T));
+    event Dst2MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst2, 0, DST_ELEMS * sizeof(T));
+    event FirstCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc, RECT_WIDTH, USMMemDst1, RECT_WIDTH, RECT_WIDTH,
+        RECT_HEIGHT, {SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent});
+    doCopy2D<T, PathKind>(
+        Q, USMMemSrc + DST_ELEMS, RECT_WIDTH, USMMemDst2, RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(SRC_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst1, Results.data(), DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst2, Results.data() + DST_ELEMS,
+                               DST_ELEMS);
+    Q.wait();
+
+    for (size_t I = 0; I < SRC_ELEMS; ++I) {
+      T ExpectedVal = I >= DST_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 5")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst1, Q);
+    free<DstAllocKind>(USMMemDst2, Q);
+  }
+
+  // Test 6 - 2D copy from horizontally adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS / 2;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst1 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst2 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill_with<SrcAllocKind>(Q, USMMemSrc, SRC_ELEMS, [=](size_t I) {
+          return (I / RECT_WIDTH) % 2 ? ExpectedVal2 : ExpectedVal1;
+        });
+    event Dst1MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst1, 0, DST_ELEMS * sizeof(T));
+    event Dst2MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst2, 0, DST_ELEMS * sizeof(T));
+    event FirstCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc, 2 * RECT_WIDTH, USMMemDst1, RECT_WIDTH, RECT_WIDTH,
+        RECT_HEIGHT, {SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent});
+    doCopy2D<T, PathKind>(
+        Q, USMMemSrc + RECT_WIDTH, 2 * RECT_WIDTH, USMMemDst2, RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(SRC_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst1, Results.data(), DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst2, Results.data() + DST_ELEMS,
+                               DST_ELEMS);
+    Q.wait();
+
+    for (size_t I = 0; I < SRC_ELEMS; ++I) {
+      T ExpectedVal = I >= DST_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 6")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst1, Q);
+    free<DstAllocKind>(USMMemDst2, Q);
+  }
+
+  // Test 7 - 2D copy from 2x2 grid of rectangles.
+  {
+    constexpr size_t SRC_ELEMS = 4 * RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS / 4;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst1 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst2 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst3 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst4 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill_with<SrcAllocKind>(Q, USMMemSrc, SRC_ELEMS, [=](size_t I) {
+          return ((I / RECT_WIDTH) + (I / (2 * DST_ELEMS))) % 2 ? ExpectedVal2
+                                                                : ExpectedVal1;
+        });
+    event Dst1MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst1, 0, DST_ELEMS * sizeof(T));
+    event Dst2MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst2, 0, DST_ELEMS * sizeof(T));
+    event Dst3MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst3, 0, DST_ELEMS * sizeof(T));
+    event Dst4MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst4, 0, DST_ELEMS * sizeof(T));
+    // Top left rectangle.
+    event FirstCopyEvent =
+        doCopy2D<T, PathKind>(Q, USMMemSrc, 2 * RECT_WIDTH, USMMemDst1,
+                              RECT_WIDTH, RECT_WIDTH, RECT_HEIGHT,
+                              {SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent,
+                               Dst3MemsetEvent, Dst4MemsetEvent});
+    // Bottom right rectangle.
+    event SecondCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc + 2 * DST_ELEMS + RECT_WIDTH, 2 * RECT_WIDTH, USMMemDst2,
+        RECT_WIDTH, RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent,
+         Dst3MemsetEvent, Dst4MemsetEvent});
+    // Bottom left rectangle.
+    event ThirdCopyEvent = doCopy2D<T, PathKind>(
+        Q, USMMemSrc + 2 * DST_ELEMS, 2 * RECT_WIDTH, USMMemDst3, RECT_WIDTH,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstCopyEvent, SecondCopyEvent, SrcFillEvent, Dst1MemsetEvent,
+         Dst2MemsetEvent, Dst3MemsetEvent, Dst4MemsetEvent});
+    // Top right rectangle.
+    doCopy2D<T, PathKind>(Q, USMMemSrc + RECT_WIDTH, 2 * RECT_WIDTH, USMMemDst4,
+                          RECT_WIDTH, RECT_WIDTH, RECT_HEIGHT,
+                          {FirstCopyEvent, SecondCopyEvent, ThirdCopyEvent,
+                           SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent,
+                           Dst3MemsetEvent, Dst4MemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(SRC_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst1, Results.data(), DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst2, Results.data() + DST_ELEMS,
+                               DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst3, Results.data() + 2 * DST_ELEMS,
+                               DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst4, Results.data() + 3 * DST_ELEMS,
+                               DST_ELEMS);
+    Q.wait();
+
+    for (size_t I = 0; I < SRC_ELEMS; ++I) {
+      T ExpectedVal = I >= 2 * DST_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 7")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst1, Q);
+    free<DstAllocKind>(USMMemDst2, Q);
+    free<DstAllocKind>(USMMemDst3, Q);
+    free<DstAllocKind>(USMMemDst4, Q);
+  }
+
+  return Failures;
+}
+
+template <typename T, Alloc SrcAllocKind, Alloc DstAllocKind>
+int testForAllPaths(queue &Q, T ExpectedVal1, T ExpectedVal2) {
+  int Failures = 0;
+  Failures += test<T, SrcAllocKind, DstAllocKind, OperationPath::Expanded>(
+      Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ExpandedDependsOn>(
+          Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ShortcutNoEvent>(
+          Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ShortcutOneEvent>(
+          Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ShortcutEventList>(
+          Q, ExpectedVal1, ExpectedVal2);
+  return Failures;
+}
+
+template <Alloc SrcAllocKind, Alloc DstAllocKind>
+int testForAllTypesAndPaths(queue &Q) {
+
+  bool SupportsHalf = Q.get_device().has(aspect::fp16);
+  bool SupportsDouble = Q.get_device().has(aspect::fp64);
+
+  TestStruct TestStructRef1{42, 'f'}, TestStructRef2{1234, 'd'};
+
+  int Failures = 0;
+  Failures += testForAllPaths<char, SrcAllocKind, DstAllocKind>(Q, 'f', 'd');
+  Failures += testForAllPaths<short, SrcAllocKind, DstAllocKind>(Q, 1234, 42);
+  Failures += testForAllPaths<int, SrcAllocKind, DstAllocKind>(Q, 42, 1234);
+  Failures += testForAllPaths<long, SrcAllocKind, DstAllocKind>(Q, 1242, 34);
+  Failures +=
+      testForAllPaths<long long, SrcAllocKind, DstAllocKind>(Q, 34, 1242);
+  if (SupportsHalf)
+    Failures += testForAllPaths<sycl::half, SrcAllocKind, DstAllocKind>(
+        Q, 12.34f, 42.24f);
+  Failures +=
+      testForAllPaths<float, SrcAllocKind, DstAllocKind>(Q, 42.24f, 12.34f);
+  if (SupportsDouble)
+    Failures +=
+        testForAllPaths<double, SrcAllocKind, DstAllocKind>(Q, 42.34, 12.24);
+  Failures += testForAllPaths<TestStruct, SrcAllocKind, DstAllocKind>(
+      Q, TestStructRef1, TestStructRef2);
+  return Failures;
+}
+
+template <Alloc SrcAllocKind> int testForAllTypesAndPathsAndDsts(queue &Q) {
+  int Failures = 0;
+  Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::DirectHost>(Q);
+  if (Q.get_device().has(aspect::usm_device_allocations))
+    Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::Device>(Q);
+  if (Q.get_device().has(aspect::usm_host_allocations))
+    Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::Host>(Q);
+  if (Q.get_device().has(aspect::usm_shared_allocations))
+    Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::Shared>(Q);
+  return Failures;
+}
+
+int main() {
+  queue Q;
+
+  int Failures = 0;
+  Failures += testForAllTypesAndPathsAndDsts<Alloc::DirectHost>(Q);
+  if (Q.get_device().has(aspect::usm_device_allocations))
+    Failures += testForAllTypesAndPathsAndDsts<Alloc::Device>(Q);
+  if (Q.get_device().has(aspect::usm_host_allocations))
+    Failures += testForAllTypesAndPathsAndDsts<Alloc::Host>(Q);
+  if (Q.get_device().has(aspect::usm_shared_allocations))
+    Failures += testForAllTypesAndPathsAndDsts<Alloc::Shared>(Q);
+
+  if (!Failures)
+    std::cout << "Passed!" << std::endl;
+
+  return Failures;
+}
diff --git a/sycl/test-e2e/USM/dep_events.cpp b/sycl/test-e2e/USM/dep_events.cpp
new file mode 100644
index 0000000000000..8994e4ed2b8e3
--- /dev/null
+++ b/sycl/test-e2e/USM/dep_events.cpp
@@ -0,0 +1,45 @@
+//==---- dep_events.cpp - USM dependency test ------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+
+  int *x = malloc_shared<int>(1, q);
+  int *y = malloc_shared<int>(1, q);
+  int *z = malloc_shared<int>(1, q);
+
+  event eMemset1 = q.memset(x, 0, sizeof(int), event{});              // x = 0
+  event eMemset2 = q.memset(y, 0, sizeof(int), std::vector<event>{}); // y = 0
+  event eFill = q.fill(x, 1, 1, {eMemset1, eMemset2});                // x = 1
+  event eNoOpMemset = q.memset(x, 0, 0, eFill);       // 0 count, so x remains 1
+  event eNoOpMemcpy = q.memcpy(x, y, 0, eNoOpMemset); // 0 count, so x remains 1
+  event eNoOpCopy = q.copy(y, x, 0, eNoOpMemcpy);     // 0 count, so x remains 1
+  event eMemcpy = q.memcpy(y, x, sizeof(int), eNoOpCopy);             // y = 1
+  event eCopy = q.copy(y, z, 1, eMemcpy);                             // z = 1
+  event ePrefetch = q.prefetch(z, sizeof(int), eCopy);                //
+  q.single_task<class kernel>(ePrefetch, [=] { *z *= 2; }).wait();    // z = 2
+
+  int error = (*z != 2) ? 1 : 0;
+  std::cout << (error ? "failed\n" : "passed\n");
+
+  free(x, q);
+  free(y, q);
+  free(z, q);
+
+  return error;
+}
diff --git a/sycl/test-e2e/USM/depends_on.cpp b/sycl/test-e2e/USM/depends_on.cpp
new file mode 100644
index 0000000000000..fb43d659b9e4b
--- /dev/null
+++ b/sycl/test-e2e/USM/depends_on.cpp
@@ -0,0 +1,81 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==----------------- depends_on.cpp - depends_on test ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class foo;
+int main() {
+  const int N = 4;
+  const int MAGIC_NUM = 42;
+
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!(dev.get_info<info::device::usm_device_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>() &&
+        dev.get_info<info::device::usm_shared_allocations>()))
+    return 0;
+
+  int *darray = (int *)malloc_device(N * sizeof(int), dev, ctxt);
+  if (darray == nullptr) {
+    return -1;
+  }
+  int *sarray = (int *)malloc_shared(N * sizeof(int), dev, ctxt);
+
+  if (sarray == nullptr) {
+    return -1;
+  }
+
+  int *harray = (int *)malloc_host(N * sizeof(int), ctxt);
+  if (harray == nullptr) {
+    return -1;
+  }
+
+  event e;
+  auto eInit = q.submit([&](handler &cgh) {
+    cgh.depends_on(e);
+    cgh.single_task<class init>([=]() {
+      for (int i = 0; i < N; i++) {
+        sarray[i] = MAGIC_NUM - 1;
+        harray[i] = 1;
+      }
+    });
+  });
+
+  auto eMemset = q.memset(darray, 0, N * sizeof(int));
+
+  auto eKernel = q.submit([=](handler &cgh) {
+    cgh.depends_on({eInit, eMemset});
+    cgh.single_task<class foo>([=]() {
+      for (int i = 0; i < N; i++) {
+        sarray[i] += darray[i] + harray[i];
+      }
+    });
+  });
+
+  eKernel.wait();
+
+  for (int i = 0; i < N; i++) {
+    if (sarray[i] != MAGIC_NUM) {
+      return -2;
+    }
+  }
+  free(darray, ctxt);
+  free(sarray, ctxt);
+  free(harray, ctxt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/dmem_varied.cpp b/sycl/test-e2e/USM/dmem_varied.cpp
new file mode 100644
index 0000000000000..74b29afef48bc
--- /dev/null
+++ b/sycl/test-e2e/USM/dmem_varied.cpp
@@ -0,0 +1,117 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER  %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+// This test is expected to reliably work with USM allocator which is
+// currently enabled only on level zero.
+// REQUIRES: level_zero
+
+//==---------- dmem_varied.cpp - Test various sizes and alignments ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <vector>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_device_allocations>() ||
+      !dev.get_info<info::device::usm_shared_allocations>()) {
+    return 0;
+  }
+
+  // Check allocation on small sizes and a large one, For each allocation
+  // also check several different alignments.
+  // To verify on device, store a valu per each pointer and calculate
+  // the sum on device and then check it.
+
+  constexpr size_t smallSizeLimit = 256;
+  constexpr size_t alignmentLimit = 64;
+  constexpr size_t largeSize = 128 * 1024; // 128k
+
+  // 1000 should be enough to store all the allocated pointers
+  constexpr size_t numPtrs = 1000;
+
+  // Allocate as shared, this memory is used to store device pointers on host
+  // and pass them to device
+  uint8_t **ptrs = (uint8_t **)malloc_shared(numPtrs * sizeof(uint8_t *), q);
+  assert(ptrs != nullptr);
+  memset(ptrs, 0, numPtrs * sizeof(uint8_t *));
+
+  size_t count = 0;
+
+  // Small sizes to allocate
+  // Allocated sizes 2^n - 1 up to smallSizeLimit
+  for (size_t size = 2; size <= smallSizeLimit; size *= 2) {
+    uint8_t *p = (uint8_t *)malloc_device(size - 1, q);
+    assert(p != nullptr);
+    ptrs[count++] = p;
+
+    // Also test cases with alignment > size
+    for (size_t alignment = 1; alignment <= alignmentLimit; alignment *= 2) {
+      uint8_t *s = (uint8_t *)aligned_alloc_device(alignment, size - 1, q);
+      assert(s != nullptr);
+      assert(((size_t)s) % alignment == 0);
+
+      ptrs[count++] = s;
+    }
+  }
+
+  ptrs[count] = (uint8_t *)malloc_device(largeSize, q);
+  assert(ptrs[count]);
+  count++;
+
+  for (size_t alignment = 1; alignment <= alignmentLimit; alignment *= 8) {
+    uint8_t *a = (uint8_t *)aligned_alloc_device(alignment, largeSize, q);
+    assert(a);
+    assert(((size_t)a) % alignment == 0);
+
+    ptrs[count++] = a;
+  }
+
+  q.submit([&](handler &h) {
+    h.single_task<class foo1>([=]() {
+      for (size_t i = 0; i < count; ++i) {
+        *ptrs[i] = 1;
+      }
+    });
+  });
+
+  size_t *res =
+      (size_t *)aligned_alloc_shared(alignof(size_t), sizeof(size_t), q);
+  assert(res);
+  assert(((size_t)res) % alignof(size_t) == 0);
+  *res = 0;
+
+  q.submit([&](handler &h) {
+     h.single_task<class foo>([=]() {
+       for (size_t i = 0; i < count; ++i) {
+         *res += *ptrs[i];
+       }
+     });
+   }).wait();
+
+  assert(*res == count);
+
+  for (size_t i = 0; i < numPtrs; ++i) {
+    if (ptrs[i] != nullptr) {
+      free(ptrs[i], q);
+    }
+  }
+
+  free(res, q);
+  free(ptrs, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/dmemll.cpp b/sycl/test-e2e/USM/dmemll.cpp
new file mode 100644
index 0000000000000..a20228b0a17a6
--- /dev/null
+++ b/sycl/test-e2e/USM/dmemll.cpp
@@ -0,0 +1,88 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- dmemll.cpp - Device Memory Linked List test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_device_allocations>())
+    return 0;
+
+  Node h_cur;
+
+  Node *d_head = (Node *)malloc_device(sizeof(Node), dev, ctxt);
+  if (d_head == nullptr) {
+    return -1;
+  }
+  Node *d_cur = d_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    h_cur.Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      h_cur.pNext = (Node *)malloc_device(sizeof(Node), dev, ctxt);
+      if (h_cur.pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      h_cur.pNext = nullptr;
+    }
+
+    event e0 = q.memcpy(d_cur, &h_cur, sizeof(Node));
+    e0.wait();
+
+    d_cur = h_cur.pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = d_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  d_cur = d_head;
+  for (int i = 0; i < numNodes; i++) {
+    event c = q.memcpy(&h_cur, d_cur, sizeof(Node));
+    c.wait();
+    free(d_cur, ctxt);
+
+    const int want = i * 4 + 1;
+    if (h_cur.Num != want) {
+      return -2;
+    }
+    d_cur = h_cur.pNext;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/dmemllaligned.cpp b/sycl/test-e2e/USM/dmemllaligned.cpp
new file mode 100644
index 0000000000000..bc3ea581d345f
--- /dev/null
+++ b/sycl/test-e2e/USM/dmemllaligned.cpp
@@ -0,0 +1,90 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---- dmemllaligned.cpp - Aligned Device Memory Linked List test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_device_allocations>())
+    return 0;
+
+  Node h_cur;
+
+  Node *d_head =
+      (Node *)aligned_alloc_device(alignof(Node), sizeof(Node), dev, ctxt);
+  if (d_head == nullptr) {
+    return -1;
+  }
+  Node *d_cur = d_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    h_cur.Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      h_cur.pNext =
+          (Node *)aligned_alloc_device(alignof(Node), sizeof(Node), dev, ctxt);
+      if (h_cur.pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      h_cur.pNext = nullptr;
+    }
+
+    event e0 = q.memcpy(d_cur, &h_cur, sizeof(Node));
+    e0.wait();
+
+    d_cur = h_cur.pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = d_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  d_cur = d_head;
+  for (int i = 0; i < numNodes; i++) {
+    event c = q.memcpy(&h_cur, d_cur, sizeof(Node));
+    c.wait();
+    free(d_cur, ctxt);
+
+    const int want = i * 4 + 1;
+    if (h_cur.Num != want) {
+      return -2;
+    }
+    d_cur = h_cur.pNext;
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/fill.cpp b/sycl/test-e2e/USM/fill.cpp
new file mode 100644
index 0000000000000..a991db596857f
--- /dev/null
+++ b/sycl/test-e2e/USM/fill.cpp
@@ -0,0 +1,223 @@
+//==---- fill.cpp - USM fill test ------------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl-device-code-split=per_kernel -fsycl -fsycl-targets=%sycl_triple  %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+template <typename T> class usm_device_transfer;
+template <typename T> class usm_aligned_device_transfer;
+
+static constexpr int N = 100;
+
+struct test_struct_minimum {
+  short a;
+  int b;
+  long c;
+  long long d;
+  float f;
+};
+
+bool operator==(const test_struct_minimum &lhs,
+                const test_struct_minimum &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.f == rhs.f;
+}
+
+struct test_struct_all : public test_struct_minimum {
+  sycl::half e;
+  double g;
+};
+
+bool operator==(const test_struct_all &lhs, const test_struct_all &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.e == rhs.e && lhs.f == rhs.f && lhs.g == rhs.g;
+}
+
+struct test_struct_half : public test_struct_minimum {
+  sycl::half e;
+};
+
+bool operator==(const test_struct_half &lhs, const test_struct_half &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.e == rhs.e && lhs.f == rhs.f;
+}
+
+struct test_struct_double : public test_struct_minimum {
+  double g;
+};
+
+bool operator==(const test_struct_double &lhs, const test_struct_double &rhs) {
+  return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c && lhs.d == rhs.d &&
+         lhs.f == rhs.f && lhs.g == rhs.g;
+}
+
+template <typename T>
+void runHostTests(device dev, context ctxt, queue q, T val) {
+  T *array;
+
+  array = (T *)malloc_host(N * sizeof(T), q);
+  q.submit([&](handler &h) { h.fill(array, val, N); }).wait();
+  for (int i = 0; i < N; ++i) {
+    assert(array[i] == val);
+  }
+  free(array, ctxt);
+
+  array = (T *)aligned_alloc_host(alignof(long long), N * sizeof(T), ctxt);
+  q.submit([&](handler &h) { h.fill(array, val, N); }).wait();
+  for (int i = 0; i < N; ++i) {
+    assert(array[i] == val);
+  }
+  free(array, ctxt);
+}
+
+template <typename T>
+void runSharedTests(device dev, context ctxt, queue q, T val) {
+  T *array;
+
+  array = (T *)malloc_shared(N * sizeof(T), q);
+  q.submit([&](handler &h) { h.fill(array, val, N); }).wait();
+  for (int i = 0; i < N; ++i) {
+    assert(array[i] == val);
+  }
+  free(array, ctxt);
+
+  array =
+      (T *)aligned_alloc_shared(alignof(long long), N * sizeof(T), dev, ctxt);
+  q.submit([&](handler &h) { h.fill(array, val, N); }).wait();
+  for (int i = 0; i < N; ++i) {
+    assert(array[i] == val);
+  }
+  free(array, ctxt);
+}
+
+template <typename T>
+void runDeviceTests(device dev, context ctxt, queue q, T val) {
+  T *array;
+  std::vector<T> out;
+  out.resize(N);
+
+  array = (T *)malloc_device(N * sizeof(T), q);
+  q.submit([&](handler &h) { h.fill(array, val, N); }).wait();
+
+  {
+    buffer<T, 1> buf{&out[0], range<1>{N}};
+    q.submit([&](handler &h) {
+       auto acc = buf.template get_access<access::mode::write>(h);
+       h.parallel_for<usm_device_transfer<T>>(
+           range<1>(N), [=](id<1> item) { acc[item] = array[item]; });
+     }).wait();
+  }
+
+  for (int i = 0; i < N; ++i) {
+    assert(out[i] == val);
+  }
+  free(array, ctxt);
+
+  out.clear();
+  out.resize(N);
+
+  array =
+      (T *)aligned_alloc_device(alignof(long long), N * sizeof(T), dev, ctxt);
+  q.submit([&](handler &h) { h.fill(array, val, N); }).wait();
+
+  {
+    buffer<T, 1> buf{&out[0], range<1>{N}};
+    q.submit([&](handler &h) {
+       auto acc = buf.template get_access<access::mode::write>(h);
+       h.parallel_for<usm_aligned_device_transfer<T>>(
+           range<1>(N), [=](id<1> item) { acc[item] = array[item]; });
+     }).wait();
+  }
+
+  for (int i = 0; i < N; ++i) {
+    assert(out[i] == val);
+  }
+  free(array, ctxt);
+}
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  const bool DoublesSupported = dev.has(sycl::aspect::fp64);
+  const bool HalfsSupported = dev.has(sycl::aspect::fp16);
+
+  test_struct_all test_obj_all{4, 42, 424, 4242, 4.2f, 4.242, 4.24242};
+  test_struct_half test_obj_half{4, 42, 424, 4242, 4.2f, 4.242};
+  test_struct_double test_obj_double{4, 42, 424, 4242, 4.242, 4.24242};
+  test_struct_minimum test_obj_minimum{4, 42, 424, 4242, 4.242};
+
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    runHostTests<short>(dev, ctxt, q, 4);
+    runHostTests<int>(dev, ctxt, q, 42);
+    runHostTests<long>(dev, ctxt, q, 424);
+    runHostTests<long long>(dev, ctxt, q, 4242);
+    if (HalfsSupported)
+      runHostTests<sycl::half>(dev, ctxt, q, sycl::half(4.2f));
+    runHostTests<float>(dev, ctxt, q, 4.242f);
+    if (DoublesSupported)
+      runHostTests<double>(dev, ctxt, q, 4.24242);
+    if (HalfsSupported && DoublesSupported)
+      runHostTests<test_struct_all>(dev, ctxt, q, test_obj_all);
+    else if (HalfsSupported)
+      runHostTests<test_struct_half>(dev, ctxt, q, test_obj_half);
+    else if (DoublesSupported)
+      runHostTests<test_struct_double>(dev, ctxt, q, test_obj_double);
+    else
+      runHostTests<test_struct_minimum>(dev, ctxt, q, test_obj_minimum);
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    runSharedTests<short>(dev, ctxt, q, 4);
+    runSharedTests<int>(dev, ctxt, q, 42);
+    runSharedTests<long>(dev, ctxt, q, 424);
+    runSharedTests<long long>(dev, ctxt, q, 4242);
+    if (HalfsSupported)
+      runSharedTests<sycl::half>(dev, ctxt, q, sycl::half(4.2f));
+    runSharedTests<float>(dev, ctxt, q, 4.242f);
+    if (DoublesSupported)
+      runSharedTests<double>(dev, ctxt, q, 4.24242);
+    if (HalfsSupported && DoublesSupported)
+      runSharedTests<test_struct_all>(dev, ctxt, q, test_obj_all);
+    else if (HalfsSupported)
+      runSharedTests<test_struct_half>(dev, ctxt, q, test_obj_half);
+    else if (DoublesSupported)
+      runSharedTests<test_struct_double>(dev, ctxt, q, test_obj_double);
+    else
+      runSharedTests<test_struct_minimum>(dev, ctxt, q, test_obj_minimum);
+  }
+
+  if (dev.get_info<info::device::usm_device_allocations>()) {
+    runDeviceTests<short>(dev, ctxt, q, 4);
+    runDeviceTests<int>(dev, ctxt, q, 42);
+    runDeviceTests<long>(dev, ctxt, q, 420);
+    runDeviceTests<long long>(dev, ctxt, q, 4242);
+    if (HalfsSupported)
+      runDeviceTests<sycl::half>(dev, ctxt, q, sycl::half(4.2f));
+    runDeviceTests<float>(dev, ctxt, q, 4.242f);
+    if (DoublesSupported)
+      runDeviceTests<double>(dev, ctxt, q, 4.24242);
+    if (HalfsSupported && DoublesSupported)
+      runDeviceTests<test_struct_all>(dev, ctxt, q, test_obj_all);
+    else if (HalfsSupported)
+      runDeviceTests<test_struct_half>(dev, ctxt, q, test_obj_half);
+    else if (DoublesSupported)
+      runDeviceTests<test_struct_double>(dev, ctxt, q, test_obj_double);
+    else
+      runDeviceTests<test_struct_minimum>(dev, ctxt, q, test_obj_minimum);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/fill2d.cpp b/sycl/test-e2e/USM/fill2d.cpp
new file mode 100644
index 0000000000000..91b2659c02bc6
--- /dev/null
+++ b/sycl/test-e2e/USM/fill2d.cpp
@@ -0,0 +1,246 @@
+//==---- fill2d.cpp - USM 2D fill test -------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include "memops2d_utils.hpp"
+
+using namespace sycl;
+
+constexpr size_t RECT_WIDTH = 50;
+constexpr size_t RECT_HEIGHT = 21;
+
+template <typename T, OperationPath PathKind>
+event doFill2D(queue &Q, void *Dest, size_t DestPitch, const T &Pattern,
+               size_t Width, size_t Height, std::vector<event> DepEvents) {
+  if constexpr (PathKind == OperationPath::Expanded) {
+    sycl::event::wait(DepEvents);
+    return Q.submit([&](handler &CGH) {
+      CGH.ext_oneapi_fill2d(Dest, DestPitch, Pattern, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ExpandedDependsOn) {
+    return Q.submit([&](handler &CGH) {
+      CGH.depends_on(DepEvents);
+      CGH.ext_oneapi_fill2d(Dest, DestPitch, Pattern, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ShortcutNoEvent) {
+    sycl::event::wait(DepEvents);
+    return Q.ext_oneapi_fill2d(Dest, DestPitch, Pattern, Width, Height);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutOneEvent) {
+    assert(DepEvents.size() && "No events in dependencies!");
+    // wait on all other events than the first.
+    for (size_t I = 1; I < DepEvents.size(); ++I)
+      DepEvents[I].wait();
+    return Q.ext_oneapi_fill2d(Dest, DestPitch, Pattern, Width, Height,
+                               DepEvents[0]);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutEventList) {
+    return Q.ext_oneapi_fill2d(Dest, DestPitch, Pattern, Width, Height,
+                               DepEvents);
+  }
+}
+
+template <typename T, Alloc AllocKind, OperationPath PathKind>
+int test(queue &Q, T ExpectedVal1, T ExpectedVal2) {
+  int Failures = 0;
+
+  // Test 1 - 2D fill entire buffer.
+  {
+    constexpr size_t DST_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+
+    T *USMMemDst = allocate<T, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent =
+        memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    doFill2D<T, PathKind>(Q, USMMemDst, RECT_WIDTH, ExpectedVal1, RECT_WIDTH,
+                          RECT_HEIGHT, {DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal1, I,
+                                            "Test 1")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  // Test 2 - 2D fill vertically adjacent regions.
+  {
+    constexpr size_t DST_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+
+    T *USMMemDst = allocate<T, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent =
+        memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    event FirstFillEvent =
+        doFill2D<T, PathKind>(Q, USMMemDst, RECT_WIDTH, ExpectedVal1,
+                              RECT_WIDTH, RECT_HEIGHT, {DstMemsetEvent});
+    doFill2D<T, PathKind>(Q, USMMemDst + DST_ELEMS / 2, RECT_WIDTH,
+                          ExpectedVal2, RECT_WIDTH, RECT_HEIGHT,
+                          {FirstFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = I >= (DST_ELEMS / 2) ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal, I,
+                                            "Test 2")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  // Test 3 - 2D fill horizontally adjacent regions.
+  {
+    constexpr size_t DST_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+
+    T *USMMemDst = allocate<T, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent =
+        memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    event FirstFillEvent =
+        doFill2D<T, PathKind>(Q, USMMemDst, 2 * RECT_WIDTH, ExpectedVal1,
+                              RECT_WIDTH, RECT_HEIGHT, {DstMemsetEvent});
+    doFill2D<T, PathKind>(Q, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH,
+                          ExpectedVal2, RECT_WIDTH, RECT_HEIGHT,
+                          {FirstFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = (I / RECT_WIDTH) % 2 ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal, I,
+                                            "Test 3")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  // Test 4 - 2D fill 2x2 grid of rectangles.
+  {
+    constexpr size_t DST_ELEMS = 4 * RECT_WIDTH * RECT_HEIGHT;
+
+    T *USMMemDst = allocate<T, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent =
+        memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    // Top left rectangle.
+    event FirstFillEvent =
+        doFill2D<T, PathKind>(Q, USMMemDst, 2 * RECT_WIDTH, ExpectedVal1,
+                              RECT_WIDTH, RECT_HEIGHT, {DstMemsetEvent});
+    // Top right rectangle.
+    event SecondFillEvent = doFill2D<T, PathKind>(
+        Q, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH, ExpectedVal2, RECT_WIDTH,
+        RECT_HEIGHT, {FirstFillEvent, DstMemsetEvent});
+    // Bottom left rectangle.
+    event ThirdFillEvent = doFill2D<T, PathKind>(
+        Q, USMMemDst + DST_ELEMS / 2, 2 * RECT_WIDTH, ExpectedVal2, RECT_WIDTH,
+        RECT_HEIGHT, {FirstFillEvent, SecondFillEvent, DstMemsetEvent});
+    // Bottom right rectangle.
+    doFill2D<T, PathKind>(
+        Q, USMMemDst + DST_ELEMS / 2 + RECT_WIDTH, 2 * RECT_WIDTH, ExpectedVal1,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstFillEvent, SecondFillEvent, ThirdFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = ((I / RECT_WIDTH) + (I / (DST_ELEMS / 2))) % 2
+                          ? ExpectedVal2
+                          : ExpectedVal1;
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal, I,
+                                            "Test 4")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  return Failures;
+}
+
+template <typename T, Alloc AllocKind>
+int testForAllPaths(queue &Q, T ExpectedVal1, T ExpectedVal2) {
+  int Failures = 0;
+  Failures += test<T, AllocKind, OperationPath::Expanded>(Q, ExpectedVal1,
+                                                          ExpectedVal2);
+  Failures += test<T, AllocKind, OperationPath::ExpandedDependsOn>(
+      Q, ExpectedVal1, ExpectedVal2);
+  Failures += test<T, AllocKind, OperationPath::ShortcutNoEvent>(
+      Q, ExpectedVal1, ExpectedVal2);
+  Failures += test<T, AllocKind, OperationPath::ShortcutOneEvent>(
+      Q, ExpectedVal1, ExpectedVal2);
+  Failures += test<T, AllocKind, OperationPath::ShortcutEventList>(
+      Q, ExpectedVal1, ExpectedVal2);
+  return Failures;
+}
+
+template <Alloc AllocKind> int testForAllTypesAndPaths(queue &Q) {
+
+  bool SupportsHalf = Q.get_device().has(aspect::fp16);
+  bool SupportsDouble = Q.get_device().has(aspect::fp64);
+
+  TestStruct TestStructRef1{42, 'f'}, TestStructRef2{1234, 'd'};
+
+  int Failures = 0;
+  Failures += testForAllPaths<char, AllocKind>(Q, 'f', 'd');
+  Failures += testForAllPaths<short, AllocKind>(Q, 1234, 42);
+  Failures += testForAllPaths<int, AllocKind>(Q, 42, 1234);
+  Failures += testForAllPaths<long, AllocKind>(Q, 1242, 34);
+  Failures += testForAllPaths<long long, AllocKind>(Q, 34, 1242);
+  if (SupportsHalf)
+    Failures += testForAllPaths<sycl::half, AllocKind>(Q, 12.34f, 42.24f);
+  Failures += testForAllPaths<float, AllocKind>(Q, 42.24f, 12.34f);
+  if (SupportsDouble)
+    Failures += testForAllPaths<double, AllocKind>(Q, 42.34, 12.24);
+  Failures +=
+      testForAllPaths<TestStruct, AllocKind>(Q, TestStructRef1, TestStructRef2);
+  return Failures;
+}
+
+int main() {
+  queue Q;
+
+  int Failures = 0;
+  Failures += testForAllTypesAndPaths<Alloc::DirectHost>(Q);
+  if (Q.get_device().has(aspect::usm_device_allocations))
+    Failures += testForAllTypesAndPaths<Alloc::Device>(Q);
+  if (Q.get_device().has(aspect::usm_host_allocations))
+    Failures += testForAllTypesAndPaths<Alloc::Host>(Q);
+  if (Q.get_device().has(aspect::usm_shared_allocations))
+    Failures += testForAllTypesAndPaths<Alloc::Shared>(Q);
+
+  if (!Failures)
+    std::cout << "Passed!" << std::endl;
+
+  return Failures;
+}
diff --git a/sycl/test-e2e/USM/findplatforms.hpp b/sycl/test-e2e/USM/findplatforms.hpp
new file mode 100644
index 0000000000000..9961a311104e1
--- /dev/null
+++ b/sycl/test-e2e/USM/findplatforms.hpp
@@ -0,0 +1,48 @@
+//==------------------- findplatforms.hpp ----------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+bool findPlatformAndDevice(cl_device_type deviceType,
+                           cl_platform_id &platformOut,
+                           cl_device_id &deviceOut) {
+  cl_uint numPlatforms;
+  cl_int errorCode;
+
+  errorCode = clGetPlatformIDs(0, nullptr, &numPlatforms);
+  if (errorCode != CL_SUCCESS)
+    return false;
+
+  std::vector<cl_platform_id> platforms(numPlatforms);
+  errorCode = clGetPlatformIDs(numPlatforms, platforms.data(), nullptr);
+  if (errorCode != CL_SUCCESS)
+    return false;
+
+  for (auto platform : platforms) {
+    cl_uint numDevices = 0;
+    errorCode = clGetDeviceIDs(platform, deviceType, 0, nullptr, &numDevices);
+
+    // This has to check both codes because  if a platform has 0 devices
+    // of deviceType, clGetPlatformIDs returns CL_DEVICE_NOT_FOUND.
+    // We don't want to bail yet as the next platform might have it.
+    // We bail out here if we see something other than those two error codes.
+    if (!(errorCode == CL_SUCCESS || errorCode == CL_DEVICE_NOT_FOUND))
+      return false;
+
+    if (numDevices) {
+      std::vector<cl_device_id> devices(numDevices);
+      errorCode = clGetDeviceIDs(platform, deviceType, numDevices,
+                                 devices.data(), nullptr);
+      if (errorCode != CL_SUCCESS)
+        return false;
+
+      platformOut = platform;
+      deviceOut = devices[0];
+      return true;
+    }
+  }
+
+  return false;
+}
diff --git a/sycl/test-e2e/USM/free_during_kernel_execution.cpp b/sycl/test-e2e/USM/free_during_kernel_execution.cpp
new file mode 100644
index 0000000000000..28349395b7111
--- /dev/null
+++ b/sycl/test-e2e/USM/free_during_kernel_execution.cpp
@@ -0,0 +1,39 @@
+//==------------------- free_during_kernel_execution.cpp -------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+#include <sycl/sycl.hpp>
+
+class KernelA;
+
+int main() {
+  const int N = 512;
+  sycl::queue Queue;
+  sycl::buffer<int, 1> Buffer(N);
+  sycl::range<1> NumOfWorkItems{Buffer.size()};
+
+  auto *USM = sycl::malloc_host<int>(1, Queue.get_context());
+
+  Queue.submit([&](sycl::handler &cgh) {
+    auto Accessor = Buffer.get_access<sycl::access::mode::write>(cgh);
+    cgh.single_task<KernelA>([=]() {
+      for (int I = 0; I < N; ++I) {
+        Accessor[I] = I;
+      }
+    });
+  });
+
+  // Check that freeing USM before the kernel was finished works.
+  free(USM, Queue.get_context());
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/hmemll.cpp b/sycl/test-e2e/USM/hmemll.cpp
new file mode 100644
index 0000000000000..bb9313995452f
--- /dev/null
+++ b/sycl/test-e2e/USM/hmemll.cpp
@@ -0,0 +1,81 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- hmemll.cpp - Host Memory Linked List test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto ctxt = q.get_context();
+  auto dev = q.get_device();
+
+  if (!dev.get_info<info::device::usm_host_allocations>())
+    return 0;
+
+  Node *h_head = (Node *)malloc_host(sizeof(Node), ctxt);
+  if (h_head == nullptr) {
+    return -1;
+  }
+  Node *h_cur = h_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    h_cur->Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      h_cur->pNext = (Node *)malloc_host(sizeof(Node), ctxt);
+      if (h_cur->pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      h_cur->pNext = nullptr;
+    }
+
+    h_cur = h_cur->pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = h_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  h_cur = h_head;
+  for (int i = 0; i < numNodes; i++) {
+    const int want = i * 4 + 1;
+    if (h_cur->Num != want) {
+      return -2;
+    }
+    Node *old = h_cur;
+    h_cur = h_cur->pNext;
+    free(old, ctxt);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/hmemllaligned.cpp b/sycl/test-e2e/USM/hmemllaligned.cpp
new file mode 100644
index 0000000000000..b5fe85a0ea1d7
--- /dev/null
+++ b/sycl/test-e2e/USM/hmemllaligned.cpp
@@ -0,0 +1,82 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---- hmemllaligned.cpp - Aligned Host Memory Linked List test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto ctxt = q.get_context();
+  auto dev = q.get_device();
+
+  if (!dev.get_info<info::device::usm_host_allocations>())
+    return 0;
+
+  Node *h_head = (Node *)aligned_alloc_host(alignof(Node), sizeof(Node), ctxt);
+  if (h_head == nullptr) {
+    return -1;
+  }
+  Node *h_cur = h_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    h_cur->Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      h_cur->pNext =
+          (Node *)aligned_alloc_host(alignof(Node), sizeof(Node), ctxt);
+      if (h_cur->pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      h_cur->pNext = nullptr;
+    }
+
+    h_cur = h_cur->pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = h_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  h_cur = h_head;
+  for (int i = 0; i < numNodes; i++) {
+    const int want = i * 4 + 1;
+    if (h_cur->Num != want) {
+      return -2;
+    }
+    Node *old = h_cur;
+    h_cur = h_cur->pNext;
+    free(old, ctxt);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/math.cpp b/sycl/test-e2e/USM/math.cpp
new file mode 100644
index 0000000000000..af5c705082e16
--- /dev/null
+++ b/sycl/test-e2e/USM/math.cpp
@@ -0,0 +1,135 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+
+// REQUIRES: cpu
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <cassert>
+#include <cmath>
+
+namespace s = sycl;
+
+int main() {
+  s::queue myQueue;
+
+  if (myQueue.get_device()
+          .get_info<s::info::device::usm_shared_allocations>()) {
+    // fract with unified shared memory
+    {
+      float r{0};
+      float i{999};
+      {
+        float *Buf = (float *)s::malloc_shared(
+            sizeof(float) * 2, myQueue.get_device(), myQueue.get_context());
+        s::malloc_shared(100, myQueue.get_device(), myQueue.get_context());
+        myQueue.submit([&](s::handler &cgh) {
+          cgh.single_task<class fractF1UF1>(
+              [=]() { Buf[0] = s::fract(float{1.5f}, &Buf[1]); });
+        });
+        myQueue.wait();
+        r = Buf[0];
+        i = Buf[1];
+        s::free(Buf, myQueue.get_context());
+      }
+      assert(r == 0.5f);
+      assert(i == 1.0f);
+    }
+
+    // vector fract with unified shared memory
+    {
+      s::float2 *Buf = (s::float2 *)s::malloc_shared(
+          sizeof(s::float2) * 2, myQueue.get_device(), myQueue.get_context());
+      myQueue.submit([&](s::handler &cgh) {
+        cgh.single_task<class fractF2UF2>([=]() {
+          Buf[0] = s::fract(s::float2{1.5f, 2.5f}, &Buf[1]);
+        });
+      });
+      myQueue.wait();
+
+      float r1 = Buf[0].x();
+      float r2 = Buf[0].y();
+      float i1 = Buf[1].x();
+      float i2 = Buf[1].y();
+
+      assert(r1 == 0.5f);
+      assert(r2 == 0.5f);
+      assert(i1 == 1.0f);
+      assert(i2 == 2.0f);
+    }
+
+    // lgamma_r with unified shared memory
+    {
+      float r{0};
+      int i{999};
+      {
+        s::buffer<float, 1> BufR(&r, s::range<1>(1));
+        int *BufI = (int *)s::malloc_shared(
+            sizeof(int) * 2, myQueue.get_device(), myQueue.get_context());
+        myQueue.submit([&](s::handler &cgh) {
+          auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+          cgh.single_task<class lgamma_rF1PI1>(
+              [=]() { AccR[0] = s::lgamma_r(float{10.f}, BufI); });
+        });
+        myQueue.wait();
+        i = *BufI;
+        s::free(BufI, myQueue.get_context());
+      }
+      assert(r > 12.8017f && r < 12.8019f); // ~12.8018
+      assert(i == 1);                       // tgamma of 10 is ~362880.0
+    }
+
+    // lgamma_r with unified shared memory
+    {
+      float r{0};
+      int i{999};
+      {
+        s::buffer<float, 1> BufR(&r, s::range<1>(1));
+        int *BufI = (int *)s::malloc_shared(
+            sizeof(int) * 2, myQueue.get_device(), myQueue.get_context());
+        myQueue.submit([&](s::handler &cgh) {
+          auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+          cgh.single_task<class lgamma_rF1PI1_neg>(
+              [=]() { AccR[0] = s::lgamma_r(float{-2.4f}, BufI); });
+        });
+        myQueue.wait();
+        i = *BufI;
+        s::free(BufI, myQueue.get_context());
+      }
+      assert(r > 0.1024f && r < 0.1026f); // ~0.102583
+      assert(i == -1); // tgamma of -2.4 is ~-1.1080299470333461
+    }
+
+    // vector lgamma_r with unified shared memory
+    {
+      s::float2 r{0, 0};
+      s::int2 i{0, 0};
+      {
+        s::buffer<s::float2, 1> BufR(&r, s::range<1>(1));
+        s::int2 *BufI = (s::int2 *)s::malloc_shared(
+            sizeof(s::int2) * 2, myQueue.get_device(), myQueue.get_context());
+        myQueue.submit([&](s::handler &cgh) {
+          auto AccR = BufR.get_access<s::access::mode::read_write>(cgh);
+          cgh.single_task<class lgamma_rF2PF2>([=]() {
+            AccR[0] = s::lgamma_r(s::float2{10.f, -2.4f}, BufI);
+          });
+        });
+        myQueue.wait();
+        i = *BufI;
+        s::free(BufI, myQueue.get_context());
+      }
+
+      float r1 = r.x();
+      float r2 = r.y();
+      int i1 = i.x();
+      int i2 = i.y();
+
+      assert(r1 > 12.8017f && r1 < 12.8019f); // ~12.8018
+      assert(r2 > 0.1024f && r2 < 0.1026f);   // ~0.102583
+      assert(i1 == 1);                        // tgamma of 10 is ~362880.0
+      assert(i2 == -1); // tgamma of -2.4 is ~-1.1080299470333461
+    }
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/memadvise.cpp b/sycl/test-e2e/USM/memadvise.cpp
new file mode 100644
index 0000000000000..a8fc44e684b52
--- /dev/null
+++ b/sycl/test-e2e/USM/memadvise.cpp
@@ -0,0 +1,85 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---------------- memadvise.cpp - Shared Memory Linked List test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  if (!dev.get_info<info::device::usm_shared_allocations>())
+    return 0;
+
+  Node *s_head = (Node *)malloc_shared(sizeof(Node), dev, ctxt);
+  if (s_head == nullptr) {
+    return -1;
+  }
+  // Test queue::mem_advise
+  q.mem_advise(s_head, sizeof(Node), 0);
+  Node *s_cur = s_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    s_cur->Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      s_cur->pNext = (Node *)malloc_shared(sizeof(Node), dev, ctxt);
+      if (s_cur->pNext == nullptr) {
+        return -1;
+      }
+      // Test handler::mem_advise
+      q.submit(
+          [&](handler &cgh) { cgh.mem_advise(s_cur->pNext, sizeof(Node), 0); });
+    } else {
+      s_cur->pNext = nullptr;
+    }
+
+    s_cur = s_cur->pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = s_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  s_cur = s_head;
+  for (int i = 0; i < numNodes; i++) {
+    const int want = i * 4 + 1;
+    if (s_cur->Num != want) {
+      return -2;
+    }
+    Node *old = s_cur;
+    s_cur = s_cur->pNext;
+    free(old, ctxt);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/memadvise_cuda.cpp b/sycl/test-e2e/USM/memadvise_cuda.cpp
new file mode 100755
index 0000000000000..e5c77a4418311
--- /dev/null
+++ b/sycl/test-e2e/USM/memadvise_cuda.cpp
@@ -0,0 +1,56 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// REQUIRES: cuda
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---------------- memadvise_cuda.cpp ------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+#include <vector>
+
+using namespace sycl;
+
+int main() {
+  const size_t size = 100;
+  queue q;
+  auto dev = q.get_device();
+  auto ctx = q.get_context();
+  if (!dev.get_info<info::device::usm_shared_allocations>()) {
+    std::cout << "Shared USM is not supported. Skipping test." << std::endl;
+    return 0;
+  }
+
+  void *ptr = malloc_shared(size, dev, ctx);
+  if (ptr == nullptr) {
+    std::cout << "Allocation failed!" << std::endl;
+    return -1;
+  }
+
+  std::vector<int> valid_advices{
+      PI_MEM_ADVICE_CUDA_SET_READ_MOSTLY,
+      PI_MEM_ADVICE_CUDA_UNSET_READ_MOSTLY,
+      PI_MEM_ADVICE_CUDA_SET_PREFERRED_LOCATION,
+      PI_MEM_ADVICE_CUDA_UNSET_PREFERRED_LOCATION,
+      PI_MEM_ADVICE_CUDA_SET_ACCESSED_BY,
+      PI_MEM_ADVICE_CUDA_UNSET_ACCESSED_BY,
+      PI_MEM_ADVICE_CUDA_SET_PREFERRED_LOCATION_HOST,
+      PI_MEM_ADVICE_CUDA_UNSET_PREFERRED_LOCATION_HOST,
+      PI_MEM_ADVICE_CUDA_SET_ACCESSED_BY_HOST,
+      PI_MEM_ADVICE_CUDA_UNSET_ACCESSED_BY_HOST,
+  };
+  for (int advice : valid_advices) {
+    q.mem_advise(ptr, size, advice);
+  }
+
+  q.wait_and_throw();
+  std::cout << "Test passed." << std::endl;
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/memcpy.cpp b/sycl/test-e2e/USM/memcpy.cpp
new file mode 100644
index 0000000000000..940126bb6a561
--- /dev/null
+++ b/sycl/test-e2e/USM/memcpy.cpp
@@ -0,0 +1,335 @@
+//==---- memcpy.cpp - USM memcpy test --------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+static constexpr int N = 100;
+static constexpr int VAL = 42;
+
+void init_on_host(queue q, int *arr) {
+  for (int i = 0; i < N; ++i) {
+    arr[i] = VAL;
+  }
+}
+
+void check_on_host(queue q, int *arr) {
+  for (int i = 0; i < N; ++i) {
+    assert(arr[i] == VAL);
+  }
+}
+
+void init_on_device(queue q, int *arr) {
+  q.submit([&](handler &h) {
+     h.parallel_for<class usm_device_init>(
+         range<1>(N), [=](id<1> item) { arr[item] = VAL; });
+   }).wait();
+}
+
+void check_on_device(queue q, int *arr) {
+  std::vector<int> out;
+  out.resize(N);
+  {
+    buffer<int, 1> buf{&out[0], range<1>{N}};
+    q.submit([&](handler &h) {
+       auto acc = buf.template get_access<access::mode::write>(h);
+       h.parallel_for<class usm_device_transfer>(
+           range<1>(N), [=](id<1> item) { acc[item] = arr[item]; });
+     }).wait();
+  }
+
+  for (int i = 0; i < N; ++i) {
+    assert(out[i] == VAL);
+  }
+}
+
+#define USM_MALLOC(ARR, ALLOC_TYPE)                                            \
+  ARR = (int *)malloc_##ALLOC_TYPE(N * sizeof(int), q);
+
+#define USM_ALIGNED_ALLOC_HOST(ARR)                                            \
+  ARR = (int *)aligned_alloc_host(alignof(long long), N * sizeof(int), ctxt);
+
+#define USM_ALIGNED_ALLOC_SHARED(ARR)                                          \
+  ARR = (int *)aligned_alloc_shared(alignof(long long), N * sizeof(int), dev,  \
+                                    ctxt);
+
+#define USM_ALIGNED_ALLOC_DEVICE(ARR)                                          \
+  ARR = (int *)aligned_alloc_device(alignof(long long), N * sizeof(int), dev,  \
+                                    ctxt);
+
+#define TEST_MEMCPY(FROM_ARR, FROM_INIT, TO_ARR, TO_CHECK)                     \
+  {                                                                            \
+    FROM_INIT(q, FROM_ARR);                                                    \
+    q.submit(                                                                  \
+        [&](handler &h) { h.memcpy(TO_ARR, FROM_ARR, N * sizeof(int)); });     \
+    q.wait_and_throw();                                                        \
+    TO_CHECK(q, TO_ARR);                                                       \
+    free(FROM_ARR, ctxt);                                                      \
+    free(TO_ARR, ctxt);                                                        \
+  }
+
+#define TEST_MEMCPY_TO_NULLPTR(ARR)                                            \
+  {                                                                            \
+    try {                                                                      \
+      /* Copying to nullptr should throw. */                                   \
+      q.submit(                                                                \
+          [&](handler &cgh) { cgh.memcpy(nullptr, ARR, sizeof(int) * N); });   \
+      q.wait_and_throw();                                                      \
+      assert(false && "Expected error from copying to nullptr");               \
+    } catch (runtime_error e) {                                                \
+    }                                                                          \
+    /* Copying to nullptr should throw. */                                     \
+    q.submit([&](handler &cgh) { cgh.memcpy(nullptr, ARR, 0); });              \
+    q.wait_and_throw();                                                        \
+    free(ARR, ctxt);                                                           \
+  }
+
+int main() {
+  queue q([](exception_list el) {
+    for (auto &e : el)
+      std::rethrow_exception(e);
+  });
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  int *inArray;
+  int *outArray;
+
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    // Test host to host
+    USM_MALLOC(inArray, host)
+    USM_MALLOC(outArray, host)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned host to aligned host
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    USM_ALIGNED_ALLOC_HOST(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test host to aligned host
+    USM_MALLOC(inArray, host)
+    USM_ALIGNED_ALLOC_HOST(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned host to host
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    USM_MALLOC(outArray, host)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test copy to null from host
+    USM_MALLOC(inArray, host)
+    TEST_MEMCPY_TO_NULLPTR(inArray)
+
+    // Test copy to null from aligned host
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    TEST_MEMCPY_TO_NULLPTR(inArray)
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    // Test shared to shared
+    USM_MALLOC(inArray, shared)
+    USM_MALLOC(outArray, shared)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned shared to aligned shared
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    USM_ALIGNED_ALLOC_SHARED(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test shared to aligned shared
+    USM_MALLOC(inArray, shared)
+    USM_ALIGNED_ALLOC_SHARED(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned shared to shared
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    USM_MALLOC(outArray, shared)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test copy to null from shared
+    USM_MALLOC(inArray, shared)
+    TEST_MEMCPY_TO_NULLPTR(inArray)
+
+    // Test copy to null from aligned shared
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    TEST_MEMCPY_TO_NULLPTR(inArray)
+  }
+
+  if (dev.get_info<info::device::usm_device_allocations>()) {
+    // Test device to device
+    USM_MALLOC(inArray, device)
+    USM_MALLOC(outArray, device)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_device)
+
+    // Test aligned device to aligned device
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    USM_ALIGNED_ALLOC_DEVICE(outArray)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_device)
+
+    // Test device to aligned device
+    USM_MALLOC(inArray, shared)
+    USM_ALIGNED_ALLOC_DEVICE(outArray)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_device)
+
+    // Test aligned device to device
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    USM_MALLOC(outArray, device)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_device)
+
+    // Test copy to null from device
+    USM_MALLOC(inArray, device)
+    TEST_MEMCPY_TO_NULLPTR(inArray)
+
+    // Test copy to null from aligned device
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    TEST_MEMCPY_TO_NULLPTR(inArray)
+  }
+
+  if (dev.get_info<info::device::usm_host_allocations>() &&
+      dev.get_info<info::device::usm_shared_allocations>()) {
+    // Test host to shared
+    USM_MALLOC(inArray, host)
+    USM_MALLOC(outArray, shared)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test shared to host
+    USM_MALLOC(inArray, shared)
+    USM_MALLOC(outArray, host)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned host to aligned shared
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    USM_ALIGNED_ALLOC_SHARED(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned shared to aligned host
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    USM_ALIGNED_ALLOC_HOST(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test host to aligned shared
+    USM_MALLOC(inArray, host)
+    USM_ALIGNED_ALLOC_SHARED(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test shared to aligned host
+    USM_MALLOC(inArray, shared)
+    USM_ALIGNED_ALLOC_HOST(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned shared to host
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    USM_MALLOC(outArray, host)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+
+    // Test aligned host to shared
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    USM_MALLOC(outArray, shared)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_host)
+  }
+
+  if (dev.get_info<info::device::usm_host_allocations>() &&
+      dev.get_info<info::device::usm_device_allocations>()) {
+    // Test host to device
+    USM_MALLOC(inArray, host)
+    USM_MALLOC(outArray, device)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+
+    // Test device to host
+    USM_MALLOC(inArray, device)
+    USM_MALLOC(outArray, host)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test aligned host to aligned device
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    USM_ALIGNED_ALLOC_DEVICE(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+
+    // Test aligned device to aligned host
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    USM_ALIGNED_ALLOC_HOST(outArray)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test host to aligned device
+    USM_MALLOC(inArray, host)
+    USM_ALIGNED_ALLOC_DEVICE(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+
+    // Test device to aligned host
+    USM_MALLOC(inArray, device)
+    USM_ALIGNED_ALLOC_HOST(outArray)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test aligned device to host
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    USM_MALLOC(outArray, host)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test aligned host to device
+    USM_ALIGNED_ALLOC_HOST(inArray)
+    USM_MALLOC(outArray, device)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+  }
+
+  if (dev.get_info<info::device::usm_host_allocations>() &&
+      dev.get_info<info::device::usm_device_allocations>()) {
+    // Test shared to device
+    USM_MALLOC(inArray, shared)
+    USM_MALLOC(outArray, device)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+
+    // Test device to shared
+    USM_MALLOC(inArray, device)
+    USM_MALLOC(outArray, shared)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test aligned shared to aligned device
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    USM_ALIGNED_ALLOC_DEVICE(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+
+    // Test aligned device to aligned shared
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    USM_ALIGNED_ALLOC_SHARED(outArray)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test shared to aligned device
+    USM_MALLOC(inArray, shared)
+    USM_ALIGNED_ALLOC_DEVICE(outArray)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+
+    // Test device to aligned shared
+    USM_MALLOC(inArray, device)
+    USM_ALIGNED_ALLOC_SHARED(outArray)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test aligned device to shared
+    USM_ALIGNED_ALLOC_DEVICE(inArray)
+    USM_MALLOC(outArray, shared)
+    TEST_MEMCPY(inArray, init_on_device, outArray, check_on_host)
+
+    // Test aligned shared to device
+    USM_ALIGNED_ALLOC_SHARED(inArray)
+    USM_MALLOC(outArray, device)
+    TEST_MEMCPY(inArray, init_on_host, outArray, check_on_device)
+  }
+
+  return 0;
+}
+
+#undef TEST_MEMCPY_TO_NULLPTR
+#undef TEST_MEMCPY
+#undef USM_ALIGNED_ALLOC_HOST
+#undef USM_ALIGNED_ALLOC_SHARED
+#undef USM_ALIGNED_ALLOC_DEVICE
+#undef USM_MALLOC
diff --git a/sycl/test-e2e/USM/memcpy2d.cpp b/sycl/test-e2e/USM/memcpy2d.cpp
new file mode 100644
index 0000000000000..d12535f057756
--- /dev/null
+++ b/sycl/test-e2e/USM/memcpy2d.cpp
@@ -0,0 +1,482 @@
+//==---- memcpy2d.cpp - USM 2D memcpy test ---------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+// Temporarily disabled until the failure is addressed.
+// UNSUPPORTED: gpu-intel-pvc || (level_zero && windows)
+
+#include <sycl/sycl.hpp>
+
+#include "memops2d_utils.hpp"
+
+using namespace sycl;
+
+constexpr size_t RECT_WIDTH = 30;
+constexpr size_t RECT_HEIGHT = 21;
+
+template <typename T, OperationPath PathKind>
+event doMemcpy2D(queue &Q, void *Dest, size_t DestPitch, const void *Src,
+                 size_t SrcPitch, size_t Width, size_t Height,
+                 std::vector<event> DepEvents) {
+  if constexpr (PathKind == OperationPath::Expanded) {
+    sycl::event::wait(DepEvents);
+    return Q.submit([&](handler &CGH) {
+      CGH.ext_oneapi_memcpy2d(Dest, DestPitch, Src, SrcPitch, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ExpandedDependsOn) {
+    return Q.submit([&](handler &CGH) {
+      CGH.depends_on(DepEvents);
+      CGH.ext_oneapi_memcpy2d(Dest, DestPitch, Src, SrcPitch, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ShortcutNoEvent) {
+    sycl::event::wait(DepEvents);
+    return Q.ext_oneapi_memcpy2d(Dest, DestPitch, Src, SrcPitch, Width, Height);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutOneEvent) {
+    assert(DepEvents.size() && "No events in dependencies!");
+    // wait on all other events than the first.
+    for (size_t I = 1; I < DepEvents.size(); ++I)
+      DepEvents[I].wait();
+    return Q.ext_oneapi_memcpy2d(Dest, DestPitch, Src, SrcPitch, Width, Height,
+                                 DepEvents[0]);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutEventList) {
+    return Q.ext_oneapi_memcpy2d(Dest, DestPitch, Src, SrcPitch, Width, Height,
+                                 DepEvents);
+  }
+}
+
+template <typename T, Alloc SrcAllocKind, Alloc DstAllocKind,
+          OperationPath PathKind>
+int test(queue &Q, T ExpectedVal1, T ExpectedVal2) {
+  int Failures = 0;
+
+  // Test 1 - 2D copy entire buffer.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc, ExpectedVal1, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    doMemcpy2D<T, PathKind>(Q, USMMemDst, RECT_WIDTH * sizeof(T), USMMemSrc,
+                            RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T),
+                            RECT_HEIGHT, {SrcFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal1, I, "Test 1")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 2 - 2D copy to vertically adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = 2 * SRC_ELEMS;
+
+    T *USMMemSrc1 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemSrc2 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event Src1FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc1, ExpectedVal1, SRC_ELEMS);
+    event Src2FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc2, ExpectedVal2, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    event FirstMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst, RECT_WIDTH * sizeof(T), USMMemSrc1,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    doMemcpy2D<T, PathKind>(
+        Q, USMMemDst + SRC_ELEMS, RECT_WIDTH * sizeof(T), USMMemSrc2,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, Src1FillEvent, Src2FillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = I >= SRC_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 2")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc1, Q);
+    free<SrcAllocKind>(USMMemSrc2, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 3 - 2D copy to horizontally adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = 2 * SRC_ELEMS;
+
+    T *USMMemSrc1 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemSrc2 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event Src1FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc1, ExpectedVal1, SRC_ELEMS);
+    event Src2FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc2, ExpectedVal2, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    event FirstMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst, 2 * RECT_WIDTH * sizeof(T), USMMemSrc1,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    doMemcpy2D<T, PathKind>(
+        Q, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH * sizeof(T), USMMemSrc2,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, Src1FillEvent, Src2FillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = (I / RECT_WIDTH) % 2 ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 3")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc1, Q);
+    free<SrcAllocKind>(USMMemSrc2, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 4 - 2D copy to 2x2 grid of rectangles.
+  {
+    constexpr size_t SRC_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = 4 * SRC_ELEMS;
+
+    T *USMMemSrc1 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemSrc2 = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event Src1FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc1, ExpectedVal1, SRC_ELEMS);
+    event Src2FillEvent =
+        fill<SrcAllocKind>(Q, USMMemSrc2, ExpectedVal2, SRC_ELEMS);
+    event DstMemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst, 0, DST_ELEMS * sizeof(T));
+    // Top left rectangle.
+    event FirstMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst, 2 * RECT_WIDTH * sizeof(T), USMMemSrc1,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    // Top right rectangle.
+    event SecondMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH * sizeof(T), USMMemSrc2,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, Src1FillEvent, Src2FillEvent, DstMemsetEvent});
+    // Bottom left rectangle.
+    event ThirdMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst + 2 * SRC_ELEMS, 2 * RECT_WIDTH * sizeof(T), USMMemSrc2,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SecondMemcpyEvent, Src1FillEvent, Src2FillEvent,
+         DstMemsetEvent});
+    // Bottom right rectangle.
+    doMemcpy2D<T, PathKind>(
+        Q, USMMemDst + 2 * SRC_ELEMS + RECT_WIDTH, 2 * RECT_WIDTH * sizeof(T),
+        USMMemSrc1, RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SecondMemcpyEvent, ThirdMemcpyEvent, Src1FillEvent,
+         Src2FillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      T ExpectedVal = ((I / RECT_WIDTH) + (I / (2 * SRC_ELEMS))) % 2
+                          ? ExpectedVal2
+                          : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 4")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc1, Q);
+    free<SrcAllocKind>(USMMemSrc2, Q);
+    free<DstAllocKind>(USMMemDst, Q);
+  }
+
+  // Test 5 - 2D copy from vertically adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS / 2;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst1 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst2 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill_with<SrcAllocKind>(Q, USMMemSrc, SRC_ELEMS, [=](size_t I) {
+          return I < DST_ELEMS ? ExpectedVal1 : ExpectedVal2;
+        });
+    event Dst1MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst1, 0, DST_ELEMS * sizeof(T));
+    event Dst2MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst2, 0, DST_ELEMS * sizeof(T));
+    event FirstMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst1, RECT_WIDTH * sizeof(T), USMMemSrc,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent});
+    doMemcpy2D<T, PathKind>(
+        Q, USMMemDst2, RECT_WIDTH * sizeof(T), USMMemSrc + DST_ELEMS,
+        RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(SRC_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst1, Results.data(), DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst2, Results.data() + DST_ELEMS,
+                               DST_ELEMS);
+    Q.wait();
+
+    for (size_t I = 0; I < SRC_ELEMS; ++I) {
+      T ExpectedVal = I >= DST_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 5")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst1, Q);
+    free<DstAllocKind>(USMMemDst2, Q);
+  }
+
+  // Test 6 - 2D copy from horizontally adjacent regions.
+  {
+    constexpr size_t SRC_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS / 2;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst1 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst2 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill_with<SrcAllocKind>(Q, USMMemSrc, SRC_ELEMS, [=](size_t I) {
+          return (I / RECT_WIDTH) % 2 ? ExpectedVal2 : ExpectedVal1;
+        });
+    event Dst1MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst1, 0, DST_ELEMS * sizeof(T));
+    event Dst2MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst2, 0, DST_ELEMS * sizeof(T));
+    event FirstMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst1, RECT_WIDTH * sizeof(T), USMMemSrc,
+        2 * RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent});
+    doMemcpy2D<T, PathKind>(
+        Q, USMMemDst2, RECT_WIDTH * sizeof(T), USMMemSrc + RECT_WIDTH,
+        2 * RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(SRC_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst1, Results.data(), DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst2, Results.data() + DST_ELEMS,
+                               DST_ELEMS);
+    Q.wait();
+
+    for (size_t I = 0; I < SRC_ELEMS; ++I) {
+      T ExpectedVal = I >= DST_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 6")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst1, Q);
+    free<DstAllocKind>(USMMemDst2, Q);
+  }
+
+  // Test 7 - 2D copy from 2x2 grid of rectangles.
+  {
+    constexpr size_t SRC_ELEMS = 4 * RECT_WIDTH * RECT_HEIGHT;
+    constexpr size_t DST_ELEMS = SRC_ELEMS / 4;
+
+    T *USMMemSrc = allocate<T, SrcAllocKind>(SRC_ELEMS, Q);
+    T *USMMemDst1 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst2 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst3 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    T *USMMemDst4 = allocate<T, DstAllocKind>(DST_ELEMS, Q);
+    event SrcFillEvent =
+        fill_with<SrcAllocKind>(Q, USMMemSrc, SRC_ELEMS, [=](size_t I) {
+          return ((I / RECT_WIDTH) + (I / (2 * DST_ELEMS))) % 2 ? ExpectedVal2
+                                                                : ExpectedVal1;
+        });
+    event Dst1MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst1, 0, DST_ELEMS * sizeof(T));
+    event Dst2MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst2, 0, DST_ELEMS * sizeof(T));
+    event Dst3MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst3, 0, DST_ELEMS * sizeof(T));
+    event Dst4MemsetEvent =
+        memset<DstAllocKind>(Q, USMMemDst4, 0, DST_ELEMS * sizeof(T));
+    // Top left rectangle.
+    event FirstMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst1, RECT_WIDTH * sizeof(T), USMMemSrc,
+        2 * RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent, Dst3MemsetEvent,
+         Dst4MemsetEvent});
+    // Bottom right rectangle.
+    event SecondMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst2, RECT_WIDTH * sizeof(T),
+        USMMemSrc + 2 * DST_ELEMS + RECT_WIDTH, 2 * RECT_WIDTH * sizeof(T),
+        RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SrcFillEvent, Dst1MemsetEvent, Dst2MemsetEvent,
+         Dst3MemsetEvent, Dst4MemsetEvent});
+    // Bottom left rectangle.
+    event ThirdMemcpyEvent = doMemcpy2D<T, PathKind>(
+        Q, USMMemDst3, RECT_WIDTH * sizeof(T), USMMemSrc + 2 * DST_ELEMS,
+        2 * RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SecondMemcpyEvent, SrcFillEvent, Dst1MemsetEvent,
+         Dst2MemsetEvent, Dst3MemsetEvent, Dst4MemsetEvent});
+    // Top right rectangle.
+    doMemcpy2D<T, PathKind>(
+        Q, USMMemDst4, RECT_WIDTH * sizeof(T), USMMemSrc + RECT_WIDTH,
+        2 * RECT_WIDTH * sizeof(T), RECT_WIDTH * sizeof(T), RECT_HEIGHT,
+        {FirstMemcpyEvent, SecondMemcpyEvent, ThirdMemcpyEvent, SrcFillEvent,
+         Dst1MemsetEvent, Dst2MemsetEvent, Dst3MemsetEvent, Dst4MemsetEvent})
+        .wait();
+    std::vector<T> Results;
+    Results.resize(SRC_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst1, Results.data(), DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst2, Results.data() + DST_ELEMS,
+                               DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst3, Results.data() + 2 * DST_ELEMS,
+                               DST_ELEMS);
+    copy_to_host<DstAllocKind>(Q, USMMemDst4, Results.data() + 3 * DST_ELEMS,
+                               DST_ELEMS);
+    Q.wait();
+
+    for (size_t I = 0; I < SRC_ELEMS; ++I) {
+      T ExpectedVal = I >= 2 * DST_ELEMS ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<SrcAllocKind, DstAllocKind, PathKind>(
+              Results[I], ExpectedVal, I, "Test 7")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<SrcAllocKind>(USMMemSrc, Q);
+    free<DstAllocKind>(USMMemDst1, Q);
+    free<DstAllocKind>(USMMemDst2, Q);
+    free<DstAllocKind>(USMMemDst3, Q);
+    free<DstAllocKind>(USMMemDst4, Q);
+  }
+
+  return Failures;
+}
+
+template <typename T, Alloc SrcAllocKind, Alloc DstAllocKind>
+int testForAllPaths(queue &Q, T ExpectedVal1, T ExpectedVal2) {
+  int Failures = 0;
+  Failures += test<T, SrcAllocKind, DstAllocKind, OperationPath::Expanded>(
+      Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ExpandedDependsOn>(
+          Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ShortcutNoEvent>(
+          Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ShortcutOneEvent>(
+          Q, ExpectedVal1, ExpectedVal2);
+  Failures +=
+      test<T, SrcAllocKind, DstAllocKind, OperationPath::ShortcutEventList>(
+          Q, ExpectedVal1, ExpectedVal2);
+  return Failures;
+}
+
+template <Alloc SrcAllocKind, Alloc DstAllocKind>
+int testForAllTypesAndPaths(queue &Q) {
+
+  bool SupportsHalf = Q.get_device().has(aspect::fp16);
+  bool SupportsDouble = Q.get_device().has(aspect::fp64);
+
+  TestStruct TestStructRef1{42, 'f'}, TestStructRef2{1234, 'd'};
+
+  int Failures = 0;
+  Failures += testForAllPaths<char, SrcAllocKind, DstAllocKind>(Q, 'f', 'd');
+  Failures += testForAllPaths<short, SrcAllocKind, DstAllocKind>(Q, 1234, 42);
+  Failures += testForAllPaths<int, SrcAllocKind, DstAllocKind>(Q, 42, 1234);
+  Failures += testForAllPaths<long, SrcAllocKind, DstAllocKind>(Q, 1242, 34);
+  Failures +=
+      testForAllPaths<long long, SrcAllocKind, DstAllocKind>(Q, 34, 1242);
+  if (SupportsHalf)
+    Failures += testForAllPaths<sycl::half, SrcAllocKind, DstAllocKind>(
+        Q, 12.34f, 42.24f);
+  Failures +=
+      testForAllPaths<float, SrcAllocKind, DstAllocKind>(Q, 42.24f, 12.34f);
+  if (SupportsDouble)
+    Failures +=
+        testForAllPaths<double, SrcAllocKind, DstAllocKind>(Q, 42.34, 12.24);
+  Failures += testForAllPaths<TestStruct, SrcAllocKind, DstAllocKind>(
+      Q, TestStructRef1, TestStructRef2);
+  return Failures;
+}
+
+template <Alloc SrcAllocKind> int testForAllTypesAndPathsAndDsts(queue &Q) {
+  int Failures = 0;
+  Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::DirectHost>(Q);
+  if (Q.get_device().has(aspect::usm_device_allocations))
+    Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::Device>(Q);
+  if (Q.get_device().has(aspect::usm_host_allocations))
+    Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::Host>(Q);
+  if (Q.get_device().has(aspect::usm_shared_allocations))
+    Failures += testForAllTypesAndPaths<SrcAllocKind, Alloc::Shared>(Q);
+  return Failures;
+}
+
+int main() {
+  queue Q;
+
+  int Failures = 0;
+  Failures += testForAllTypesAndPathsAndDsts<Alloc::DirectHost>(Q);
+  if (Q.get_device().has(aspect::usm_device_allocations))
+    Failures += testForAllTypesAndPathsAndDsts<Alloc::Device>(Q);
+  if (Q.get_device().has(aspect::usm_host_allocations))
+    Failures += testForAllTypesAndPathsAndDsts<Alloc::Host>(Q);
+  if (Q.get_device().has(aspect::usm_shared_allocations))
+    Failures += testForAllTypesAndPathsAndDsts<Alloc::Shared>(Q);
+
+  if (!Failures)
+    std::cout << "Passed!" << std::endl;
+
+  return Failures;
+}
diff --git a/sycl/test-e2e/USM/memops2d_utils.hpp b/sycl/test-e2e/USM/memops2d_utils.hpp
new file mode 100644
index 0000000000000..7579f0119c332
--- /dev/null
+++ b/sycl/test-e2e/USM/memops2d_utils.hpp
@@ -0,0 +1,178 @@
+//==------------------- memops2d_utils.hpp ---------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+enum OperationPath {
+  Expanded,
+  ExpandedDependsOn,
+  ShortcutNoEvent,
+  ShortcutOneEvent,
+  ShortcutEventList
+};
+
+enum Alloc {
+  Device = (int)usm::alloc::device,
+  Host = (int)usm::alloc::host,
+  Shared = (int)usm::alloc::shared,
+  DirectHost
+};
+
+std::string operationPathToString(OperationPath PathKind) {
+  switch (PathKind) {
+  case Expanded:
+    return "no shortcut and no depends_on";
+  case ExpandedDependsOn:
+    return "no shortcut";
+  case ShortcutNoEvent:
+    return "shortcut with no dependency events";
+  case ShortcutOneEvent:
+    return "shortcut with one dependency event";
+  case ShortcutEventList:
+    return "shortcut with dependency event list";
+  default:
+    return "UNKNOWN";
+  }
+}
+
+std::string allocTypeToString(Alloc AllocKind) {
+  switch (AllocKind) {
+  case Alloc::Device:
+    return "device USM allocation";
+  case Alloc::Host:
+    return "host USM allocation";
+  case Alloc::Shared:
+    return "shared USM allocation";
+  case Alloc::DirectHost:
+    return "direct host allocation";
+  default:
+    return "UNKNOWN";
+  }
+}
+
+template <typename T, Alloc AllocKind> T *allocate(size_t N, sycl::queue &Q) {
+  switch (AllocKind) {
+  case Alloc::Device:
+  case Alloc::Host:
+  case Alloc::Shared:
+    return sycl::malloc<T>(N, Q, (usm::alloc)AllocKind);
+  case Alloc::DirectHost:
+    return (T *)malloc(N * sizeof(T));
+  default:
+    return nullptr;
+  }
+}
+
+template <Alloc AllocKind> void free(void *Ptr, sycl::queue &Q) {
+  switch (AllocKind) {
+  case Alloc::Device:
+  case Alloc::Host:
+  case Alloc::Shared:
+    sycl::free(Ptr, Q);
+    return;
+  case Alloc::DirectHost:
+    free(Ptr);
+    return;
+  default:
+    return;
+  }
+}
+
+template <Alloc AllocKind, typename T>
+sycl::event fill(sycl::queue &Q, void *ptr, const T &pattern, size_t count) {
+  switch (AllocKind) {
+  case Alloc::Device:
+  case Alloc::Shared:
+    return Q.fill(ptr, pattern, count);
+  case Alloc::Host:
+  case Alloc::DirectHost:
+    std::fill(static_cast<T *>(ptr), static_cast<T *>(ptr) + count, pattern);
+    return sycl::event();
+  default:
+    return sycl::event();
+  }
+}
+
+template <Alloc AllocKind>
+sycl::event memset(sycl::queue &Q, void *ptr, int value, size_t numBytes) {
+  return fill<AllocKind, uint8_t>(Q, ptr, (uint8_t)value, numBytes);
+}
+
+template <Alloc AllocKind, typename T, typename Functor>
+sycl::event fill_with(sycl::queue &Q, T *ptr, size_t count, Functor func) {
+  switch (AllocKind) {
+  case Alloc::Device:
+  case Alloc::Shared:
+    return Q.parallel_for(count, [=](item<1> Id) { ptr[Id] = func(Id[0]); });
+  case Alloc::Host:
+  case Alloc::DirectHost:
+    for (size_t I = 0; I < count; ++I)
+      ptr[I] = func(I);
+    return sycl::event();
+  default:
+    return sycl::event();
+  }
+}
+
+template <Alloc SrcAllocKind, typename T>
+sycl::event copy_to_host(sycl::queue &Q, T *src_ptr, T *host_dst_ptr,
+                         size_t count) {
+  switch (SrcAllocKind) {
+  case Alloc::Device:
+  case Alloc::Shared:
+    return Q.copy(src_ptr, host_dst_ptr, count);
+  case Alloc::Host:
+  case Alloc::DirectHost:
+    std::copy(src_ptr, src_ptr + count, host_dst_ptr);
+    return sycl::event();
+  default:
+    return sycl::event();
+  }
+}
+
+struct TestStruct {
+  int a;
+  char b;
+
+  bool operator==(const TestStruct &RHS) const {
+    return a == RHS.a && b == RHS.b;
+  }
+  bool operator!=(const TestStruct &RHS) const { return !(*this == RHS); }
+};
+
+std::ostream &operator<<(std::ostream &Out, const TestStruct &RHS) {
+  Out << '{' << RHS.a << ',' << RHS.b << '}';
+  return Out;
+}
+
+template <Alloc SrcAllocKind, Alloc DstAllocKind, OperationPath PathKind,
+          typename T>
+bool checkResult(T &Result, T &Expected, size_t Index,
+                 std::string_view TestName) {
+  if (Result != Expected) {
+    std::cout << TestName << " (" << allocTypeToString(SrcAllocKind);
+    if constexpr (SrcAllocKind != DstAllocKind)
+      std::cout << " to " << allocTypeToString(DstAllocKind);
+    std::cout << ", " << operationPathToString(PathKind) << ")\nValue at "
+              << Index << " did not match the expected value; " << Result
+              << " != " << Expected << std::endl;
+    return false;
+  }
+  return true;
+}
+
+template <Alloc AllocKind, OperationPath PathKind, typename T>
+bool checkResult(T &Result, T &Expected, size_t Index,
+                 std::string_view TestName) {
+  return checkResult<AllocKind, AllocKind, PathKind, T>(Result, Expected, Index,
+                                                        TestName);
+}
diff --git a/sycl/test-e2e/USM/memset.cpp b/sycl/test-e2e/USM/memset.cpp
new file mode 100644
index 0000000000000..67128fa905cd3
--- /dev/null
+++ b/sycl/test-e2e/USM/memset.cpp
@@ -0,0 +1,139 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---- memset.cpp - USM memset test --------------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+static constexpr int N = 100;
+static constexpr int VAL = 3;
+
+int main() {
+  queue q([](exception_list el) {
+    for (auto &e : el)
+      std::rethrow_exception(e);
+  });
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  char *array;
+
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    // Test memset on host
+    array = (char *)malloc_host(N * sizeof(char), q);
+    q.submit([&](handler &h) {
+       h.memset(array, VAL, N * sizeof(char));
+     }).wait();
+    for (int i = 0; i < N; ++i) {
+      assert(array[i] == VAL);
+    }
+    free(array, ctxt);
+
+    // Test memset on aligned host
+    array =
+        (char *)aligned_alloc_host(alignof(long long), N * sizeof(char), ctxt);
+    q.submit([&](handler &h) {
+       h.memset(array, VAL, N * sizeof(char));
+     }).wait();
+    for (int i = 0; i < N; ++i) {
+      assert(array[i] == VAL);
+    }
+    free(array, ctxt);
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    // Test memset on shared
+    array = (char *)malloc_shared(N * sizeof(char), q);
+    q.submit([&](handler &h) {
+       h.memset(array, VAL, N * sizeof(char));
+     }).wait();
+    for (int i = 0; i < N; ++i) {
+      assert(array[i] == VAL);
+    }
+    free(array, ctxt);
+
+    // Test memset on aligned shared
+    array = (char *)aligned_alloc_shared(alignof(long long), N * sizeof(char),
+                                         dev, ctxt);
+    q.submit([&](handler &h) {
+       h.memset(array, VAL, N * sizeof(char));
+     }).wait();
+    for (int i = 0; i < N; ++i) {
+      assert(array[i] == VAL);
+    }
+    free(array, ctxt);
+  }
+
+  if (dev.get_info<info::device::usm_device_allocations>()) {
+    std::vector<char> out;
+    out.resize(N);
+
+    // Test memset on device
+    array = (char *)malloc_device(N * sizeof(char), q);
+    q.submit([&](handler &h) {
+       h.memset(array, VAL, N * sizeof(char));
+     }).wait();
+
+    {
+      buffer<char, 1> buf{&out[0], range<1>{N}};
+      q.submit([&](handler &h) {
+        auto acc = buf.template get_access<access::mode::write>(h);
+        h.parallel_for<class usm_device_transfer>(
+            range<1>(N), [=](id<1> item) { acc[item] = array[item]; });
+      });
+      q.wait_and_throw();
+    }
+
+    for (int i = 0; i < N; ++i) {
+      assert(out[i] == VAL);
+    }
+    free(array, ctxt);
+
+    out.clear();
+    out.resize(N);
+
+    // Test memset on aligned device
+    array = (char *)aligned_alloc_device(alignof(long long), N * sizeof(char),
+                                         dev, ctxt);
+    q.submit([&](handler &h) {
+       h.memset(array, VAL, N * sizeof(char));
+     }).wait();
+
+    {
+      buffer<char, 1> buf{&out[0], range<1>{N}};
+      q.submit([&](handler &h) {
+        auto acc = buf.template get_access<access::mode::write>(h);
+        h.parallel_for<class usm_aligned_device_transfer>(
+            range<1>(N), [=](id<1> item) { acc[item] = array[item]; });
+      });
+      q.wait_and_throw();
+    }
+
+    for (int i = 0; i < N; ++i) {
+      assert(out[i] == VAL);
+    }
+    free(array, ctxt);
+  }
+
+  try {
+    // Filling to nullptr should throw.
+    q.submit([&](handler &cgh) { cgh.memset(nullptr, 0, N * sizeof(char)); });
+    q.wait_and_throw();
+    assert(false && "Expected error from writing to nullptr");
+  } catch (runtime_error e) {
+  }
+
+  // Filling to nullptr is skipped if the number of bytes to fill is 0.
+  q.submit([&](handler &cgh) { cgh.memset(nullptr, 0, 0); });
+  q.wait_and_throw();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/memset2d.cpp b/sycl/test-e2e/USM/memset2d.cpp
new file mode 100644
index 0000000000000..890f831cd71e0
--- /dev/null
+++ b/sycl/test-e2e/USM/memset2d.cpp
@@ -0,0 +1,222 @@
+//==---- memset2d.cpp - USM 2D memset test ---------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <sycl/sycl.hpp>
+
+#include "memops2d_utils.hpp"
+
+using namespace sycl;
+
+constexpr size_t RECT_WIDTH = 50;
+constexpr size_t RECT_HEIGHT = 21;
+
+template <OperationPath PathKind>
+event doMemset2D(queue &Q, void *Dest, size_t DestPitch, int Value,
+                 size_t Width, size_t Height, std::vector<event> DepEvents) {
+  if constexpr (PathKind == OperationPath::Expanded) {
+    sycl::event::wait(DepEvents);
+    return Q.submit([&](handler &CGH) {
+      CGH.ext_oneapi_memset2d(Dest, DestPitch, Value, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ExpandedDependsOn) {
+    return Q.submit([&](handler &CGH) {
+      CGH.depends_on(DepEvents);
+      CGH.ext_oneapi_memset2d(Dest, DestPitch, Value, Width, Height);
+    });
+  }
+  if constexpr (PathKind == OperationPath::ShortcutNoEvent) {
+    sycl::event::wait(DepEvents);
+    return Q.ext_oneapi_memset2d(Dest, DestPitch, Value, Width, Height);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutOneEvent) {
+    assert(DepEvents.size() && "No events in dependencies!");
+    // wait on all other events than the first.
+    for (size_t I = 1; I < DepEvents.size(); ++I)
+      DepEvents[I].wait();
+    return Q.ext_oneapi_memset2d(Dest, DestPitch, Value, Width, Height,
+                                 DepEvents[0]);
+  }
+  if constexpr (PathKind == OperationPath::ShortcutEventList) {
+    return Q.ext_oneapi_memset2d(Dest, DestPitch, Value, Width, Height,
+                                 DepEvents);
+  }
+}
+
+template <Alloc AllocKind, OperationPath PathKind>
+int test(queue &Q, unsigned char ExpectedVal1, unsigned char ExpectedVal2) {
+  int Failures = 0;
+
+  // Test 1 - 2D memset entire buffer.
+  {
+    constexpr size_t DST_ELEMS = RECT_WIDTH * RECT_HEIGHT;
+
+    unsigned char *USMMemDst = allocate<unsigned char, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent = memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS);
+    doMemset2D<PathKind>(Q, USMMemDst, RECT_WIDTH, ExpectedVal1, RECT_WIDTH,
+                         RECT_HEIGHT, {DstMemsetEvent})
+        .wait();
+    std::vector<unsigned char> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal1, I,
+                                            "Test 1")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  // Test 2 - 2D memset vertically adjacent regions.
+  {
+    constexpr size_t DST_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+
+    unsigned char *USMMemDst = allocate<unsigned char, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent = memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS);
+    event FirstFillEvent =
+        doMemset2D<PathKind>(Q, USMMemDst, RECT_WIDTH, ExpectedVal1, RECT_WIDTH,
+                             RECT_HEIGHT, {DstMemsetEvent});
+    doMemset2D<PathKind>(Q, USMMemDst + DST_ELEMS / 2, RECT_WIDTH, ExpectedVal2,
+                         RECT_WIDTH, RECT_HEIGHT,
+                         {FirstFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<unsigned char> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      unsigned char ExpectedVal =
+          I >= (DST_ELEMS / 2) ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal, I,
+                                            "Test 2")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  // Test 3 - 2D memset horizontally adjacent regions.
+  {
+    constexpr size_t DST_ELEMS = 2 * RECT_WIDTH * RECT_HEIGHT;
+
+    unsigned char *USMMemDst = allocate<unsigned char, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent = memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS);
+    event FirstFillEvent =
+        doMemset2D<PathKind>(Q, USMMemDst, 2 * RECT_WIDTH, ExpectedVal1,
+                             RECT_WIDTH, RECT_HEIGHT, {DstMemsetEvent});
+    doMemset2D<PathKind>(Q, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH,
+                         ExpectedVal2, RECT_WIDTH, RECT_HEIGHT,
+                         {FirstFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<unsigned char> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      unsigned char ExpectedVal =
+          (I / RECT_WIDTH) % 2 ? ExpectedVal2 : ExpectedVal1;
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal, I,
+                                            "Test 3")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  // Test 4 - 2D memset 2x2 grid of rectangles.
+  {
+    constexpr size_t DST_ELEMS = 4 * RECT_WIDTH * RECT_HEIGHT;
+
+    unsigned char *USMMemDst = allocate<unsigned char, AllocKind>(DST_ELEMS, Q);
+    event DstMemsetEvent = memset<AllocKind>(Q, USMMemDst, 0, DST_ELEMS);
+    // Top left rectangle.
+    event FirstFillEvent =
+        doMemset2D<PathKind>(Q, USMMemDst, 2 * RECT_WIDTH, ExpectedVal1,
+                             RECT_WIDTH, RECT_HEIGHT, {DstMemsetEvent});
+    // Top right rectangle.
+    event SecondFillEvent = doMemset2D<PathKind>(
+        Q, USMMemDst + RECT_WIDTH, 2 * RECT_WIDTH, ExpectedVal2, RECT_WIDTH,
+        RECT_HEIGHT, {FirstFillEvent, DstMemsetEvent});
+    // Bottom left rectangle.
+    event ThirdFillEvent = doMemset2D<PathKind>(
+        Q, USMMemDst + DST_ELEMS / 2, 2 * RECT_WIDTH, ExpectedVal2, RECT_WIDTH,
+        RECT_HEIGHT, {FirstFillEvent, SecondFillEvent, DstMemsetEvent});
+    // Bottom right rectangle.
+    doMemset2D<PathKind>(
+        Q, USMMemDst + DST_ELEMS / 2 + RECT_WIDTH, 2 * RECT_WIDTH, ExpectedVal1,
+        RECT_WIDTH, RECT_HEIGHT,
+        {FirstFillEvent, SecondFillEvent, ThirdFillEvent, DstMemsetEvent})
+        .wait();
+    std::vector<unsigned char> Results;
+    Results.resize(DST_ELEMS);
+    copy_to_host<AllocKind>(Q, USMMemDst, Results.data(), DST_ELEMS).wait();
+
+    for (size_t I = 0; I < DST_ELEMS; ++I) {
+      unsigned char ExpectedVal = ((I / RECT_WIDTH) + (I / (DST_ELEMS / 2))) % 2
+                                      ? ExpectedVal2
+                                      : ExpectedVal1;
+      if (!checkResult<AllocKind, PathKind>(Results[I], ExpectedVal, I,
+                                            "Test 4")) {
+        ++Failures;
+        break;
+      }
+    }
+
+    free<AllocKind>(USMMemDst, Q);
+  }
+
+  return Failures;
+}
+
+template <Alloc AllocKind>
+int testForAllPaths(queue &Q, unsigned char ExpectedVal1,
+                    unsigned char ExpectedVal2) {
+  int Failures = 0;
+  Failures +=
+      test<AllocKind, OperationPath::Expanded>(Q, ExpectedVal1, ExpectedVal2);
+  Failures += test<AllocKind, OperationPath::ExpandedDependsOn>(Q, ExpectedVal1,
+                                                                ExpectedVal2);
+  Failures += test<AllocKind, OperationPath::ShortcutNoEvent>(Q, ExpectedVal1,
+                                                              ExpectedVal2);
+  Failures += test<AllocKind, OperationPath::ShortcutOneEvent>(Q, ExpectedVal1,
+                                                               ExpectedVal2);
+  Failures += test<AllocKind, OperationPath::ShortcutEventList>(Q, ExpectedVal1,
+                                                                ExpectedVal2);
+  return Failures;
+}
+
+int main() {
+  queue Q;
+
+  int Failures = 0;
+  Failures += testForAllPaths<Alloc::DirectHost>(Q, 123, 42);
+  if (Q.get_device().has(aspect::usm_device_allocations))
+    Failures += testForAllPaths<Alloc::Device>(Q, 123, 42);
+  if (Q.get_device().has(aspect::usm_host_allocations))
+    Failures += testForAllPaths<Alloc::Host>(Q, 123, 42);
+  if (Q.get_device().has(aspect::usm_shared_allocations))
+    Failures += testForAllPaths<Alloc::Shared>(Q, 123, 42);
+
+  if (!Failures)
+    std::cout << "Passed!" << std::endl;
+
+  return Failures;
+}
diff --git a/sycl/test-e2e/USM/mixed.cpp b/sycl/test-e2e/USM/mixed.cpp
new file mode 100644
index 0000000000000..e102499d2818e
--- /dev/null
+++ b/sycl/test-e2e/USM/mixed.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- mixed.cpp - Mixed Memory test ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class foo;
+int main() {
+  const int N = 4;
+  const int MAGIC_NUM = 42;
+
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!(dev.get_info<info::device::usm_device_allocations>() &&
+        dev.get_info<info::device::usm_shared_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>()))
+    return 0;
+
+  int *darray = (int *)malloc_device(N * sizeof(int), dev, ctxt);
+  if (darray == nullptr) {
+    return -1;
+  }
+  int *sarray = (int *)malloc_shared(N * sizeof(int), dev, ctxt);
+
+  if (sarray == nullptr) {
+    return -1;
+  }
+
+  int *harray = (int *)malloc_host(N * sizeof(int), ctxt);
+  if (harray == nullptr) {
+    return -1;
+  }
+  for (int i = 0; i < N; i++) {
+    sarray[i] = MAGIC_NUM - 1;
+    harray[i] = 1;
+  }
+
+  auto e0 = q.memset(darray, 0, N * sizeof(int));
+  e0.wait();
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      for (int i = 0; i < N; i++) {
+        sarray[i] += darray[i] + harray[i];
+      }
+    });
+  });
+
+  e1.wait();
+
+  for (int i = 0; i < N; i++) {
+    if (sarray[i] != MAGIC_NUM) {
+      return -2;
+    }
+  }
+  free(darray, ctxt);
+  free(sarray, ctxt);
+  free(harray, ctxt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/mixed2.cpp b/sycl/test-e2e/USM/mixed2.cpp
new file mode 100644
index 0000000000000..88d07bb02aac2
--- /dev/null
+++ b/sycl/test-e2e/USM/mixed2.cpp
@@ -0,0 +1,74 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- mixed2.cpp - Mixed Memory test ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class foo;
+int main() {
+  const int N = 4;
+  const int MAGIC_NUM = 42;
+
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!(dev.get_info<info::device::usm_device_allocations>() &&
+        dev.get_info<info::device::usm_shared_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>()))
+    return 0;
+
+  int *darray = (int *)malloc(N * sizeof(int), dev, ctxt, usm::alloc::device);
+  if (darray == nullptr) {
+    return -1;
+  }
+  int *sarray = (int *)malloc(N * sizeof(int), dev, ctxt, usm::alloc::shared);
+
+  if (sarray == nullptr) {
+    return -1;
+  }
+
+  int *harray = (int *)malloc(N * sizeof(int), dev, ctxt, usm::alloc::host);
+  if (harray == nullptr) {
+    return -1;
+  }
+  for (int i = 0; i < N; i++) {
+    sarray[i] = MAGIC_NUM - 1;
+    harray[i] = 1;
+  }
+
+  auto e0 = q.memset(darray, 0, N * sizeof(int));
+  e0.wait();
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      for (int i = 0; i < N; i++) {
+        sarray[i] += darray[i] + harray[i];
+      }
+    });
+  });
+
+  e1.wait();
+
+  for (int i = 0; i < N; i++) {
+    if (sarray[i] != MAGIC_NUM) {
+      return -2;
+    }
+  }
+  free(darray, ctxt);
+  free(sarray, ctxt);
+  free(harray, ctxt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/mixed2template.cpp b/sycl/test-e2e/USM/mixed2template.cpp
new file mode 100644
index 0000000000000..b7e65a9469656
--- /dev/null
+++ b/sycl/test-e2e/USM/mixed2template.cpp
@@ -0,0 +1,87 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---------- mixed2template.cpp - Mixed Memory with Templatestest --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class foo;
+int main() {
+  const int N = 4;
+  const int MAGIC_NUM = 42;
+
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!(dev.get_info<info::device::usm_device_allocations>() &&
+        dev.get_info<info::device::usm_shared_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>()))
+    return 0;
+
+  int *darray = malloc<int>(N, dev, ctxt, usm::alloc::device);
+  if (darray == nullptr) {
+    return -1;
+  }
+  int *sarray = malloc<int>(N, dev, ctxt, usm::alloc::shared);
+
+  if (sarray == nullptr) {
+    return -1;
+  }
+
+  int *harray = malloc<int>(N, dev, ctxt, usm::alloc::host);
+  if (harray == nullptr) {
+    return -1;
+  }
+  for (int i = 0; i < N; i++) {
+    sarray[i] = MAGIC_NUM - 1;
+    harray[i] = 1;
+  }
+
+  auto e0 = q.memset(darray, 0, N * sizeof(int));
+  e0.wait();
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      for (int i = 0; i < N; i++) {
+        sarray[i] += darray[i] + harray[i];
+      }
+    });
+  });
+
+  e1.wait();
+
+  for (int i = 0; i < N; i++) {
+    if (sarray[i] != MAGIC_NUM) {
+      return -2;
+    }
+  }
+  free(darray, ctxt);
+  free(sarray, ctxt);
+  free(harray, ctxt);
+
+  float *hfarray = malloc<float>(N, q, usm::alloc::host);
+  if (hfarray == nullptr)
+    return -3;
+
+  free(hfarray, ctxt);
+
+  double *sdarray =
+      aligned_alloc<double>(alignof(double), N, q, usm::alloc::shared);
+  if (sdarray == nullptr)
+    return -4;
+
+  free(sdarray, ctxt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/mixed_queue.cpp b/sycl/test-e2e/USM/mixed_queue.cpp
new file mode 100644
index 0000000000000..d2dcc055132a0
--- /dev/null
+++ b/sycl/test-e2e/USM/mixed_queue.cpp
@@ -0,0 +1,103 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==-------------- mixed_queue.cpp - Mixed Memory test ---------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class foo;
+int main() {
+  const int N = 4;
+  const int MAGIC_NUM = 42;
+  const int SIZE = N * sizeof(int);
+  queue q;
+  auto dev = q.get_device();
+  if (!(dev.get_info<info::device::usm_device_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>() &&
+        dev.get_info<info::device::usm_shared_allocations>()))
+    return 0;
+
+  int *ptr = (int *)malloc_device(SIZE, q);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)malloc(SIZE, q, usm::alloc::device);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)aligned_alloc_device(alignof(int), SIZE, q);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)aligned_alloc(alignof(int), SIZE, q, usm::alloc::device);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)malloc_shared(SIZE, q);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)malloc(SIZE, q, usm::alloc::shared);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)aligned_alloc_shared(alignof(int), SIZE, q);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)aligned_alloc(alignof(int), SIZE, q, usm::alloc::shared);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)malloc_host(SIZE, q);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)malloc(SIZE, q, usm::alloc::host);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)aligned_alloc_host(alignof(int), SIZE, q);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  ptr = (int *)aligned_alloc(alignof(int), SIZE, q, usm::alloc::host);
+  if (ptr == nullptr) {
+    return -1;
+  }
+  free(ptr, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/multictxt.cpp b/sycl/test-e2e/USM/multictxt.cpp
new file mode 100644
index 0000000000000..1bb2f46b1bbe3
--- /dev/null
+++ b/sycl/test-e2e/USM/multictxt.cpp
@@ -0,0 +1,66 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %t1.out
+
+// REQUIRES: cpu, gpu
+
+//==----------------- multictxt.cpp - Multi Context USM test ---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+// The multictxt test here is a sanity check that USM selects the right
+// implementation when presented with multiple contexts. The extra context
+// only needs to exist for this test to do its job.
+
+void GpuCpuCpu() {
+  queue gpu_q(gpu_selector_v);
+  queue cpu_q(cpu_selector_v);
+  device dev = cpu_q.get_device();
+  context ctx = cpu_q.get_context();
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    void *ptr = malloc_shared(128, dev, ctx);
+
+    free(ptr, ctx);
+  }
+}
+
+void CpuGpuGpu() {
+  queue cpu_q(cpu_selector_v);
+  queue gpu_q(gpu_selector_v);
+  device dev = gpu_q.get_device();
+  context ctx = gpu_q.get_context();
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    void *ptr = malloc_shared(128, dev, ctx);
+
+    free(ptr, ctx);
+  }
+}
+
+void GpuCpuGpu() {
+  queue gpu_q(gpu_selector_v);
+  queue cpu_q(cpu_selector_v);
+  device dev = gpu_q.get_device();
+  context ctx = gpu_q.get_context();
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    void *ptr = malloc_shared(128, dev, ctx);
+
+    free(ptr, ctx);
+  }
+}
+
+int main() {
+  GpuCpuCpu();
+  CpuGpuGpu();
+  GpuCpuGpu();
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/pfor_flatten.cpp b/sycl/test-e2e/USM/pfor_flatten.cpp
new file mode 100644
index 0000000000000..c0f28d9399fa1
--- /dev/null
+++ b/sycl/test-e2e/USM/pfor_flatten.cpp
@@ -0,0 +1,67 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple -fsycl-unnamed-lambda -fsycl-dead-args-optimization %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==--------------- pfor_flatten.cpp - Kernel Launch Flattening test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+class foo;
+int main() {
+  int *array = nullptr;
+  const int N = 42;
+  const int MAGIC_NUM = 42;
+
+  queue q;
+  auto ctxt = q.get_context();
+
+  array = (int *)malloc_host(N * sizeof(int), q);
+  if (array == nullptr) {
+    return -1;
+  }
+
+  range<1> R{N};
+  auto e1 = q.parallel_for(R, [=](id<1> ID) {
+    int i = ID[0];
+    array[i] = MAGIC_NUM - 4;
+  });
+
+  auto e2 = q.parallel_for(R, e1, [=](id<1> ID) {
+    int i = ID[0];
+    array[i] += 2;
+  });
+
+  auto e3 =
+      q.parallel_for(nd_range<1>{R, range<1>{1}}, {e1, e2}, [=](nd_item<1> ID) {
+        int i = ID.get_global_id(0);
+        array[i]++;
+      });
+
+  auto e4 = q.single_task({e3}, [=]() {
+    for (int i = 0; i < N; i++) {
+      array[i]++;
+    }
+  });
+
+  q.single_task(e4, [=]() { array[0] = array[0]; });
+
+  q.wait();
+
+  for (int i = 0; i < N; i++) {
+    if (array[i] != MAGIC_NUM) {
+      return -1;
+    }
+  }
+  free(array, ctxt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/pfor_flatten_range_shortcut.cpp b/sycl/test-e2e/USM/pfor_flatten_range_shortcut.cpp
new file mode 100644
index 0000000000000..d5e866b213c55
--- /dev/null
+++ b/sycl/test-e2e/USM/pfor_flatten_range_shortcut.cpp
@@ -0,0 +1,46 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple  -fsycl-unnamed-lambda %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==-- pfor_flatten_range_shortcut.cpp - Kernel Launch Flattening test -----==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  constexpr int n = 42;
+  constexpr int magic_num = 4;
+
+  sycl::queue q;
+  auto ctxt = q.get_context();
+
+  int *array = (int *)sycl::malloc_host(n * sizeof(int), q);
+
+  if (array == nullptr) {
+    return -1;
+  }
+
+  auto e1 = q.parallel_for(n, [=](auto item) { array[item] = 1; });
+
+  auto e2 = q.parallel_for({n}, e1, [=](auto item) { array[item] += 2; });
+
+  q.parallel_for(n, {e1, e2}, [=](auto item) { array[item]++; });
+
+  q.wait();
+
+  for (int i = 0; i < n; i++) {
+    if (array[i] != magic_num) {
+      assert(array[i] == magic_num);
+    }
+  }
+
+  sycl::free(array, ctxt);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/pointer_query.cpp b/sycl/test-e2e/USM/pointer_query.cpp
new file mode 100644
index 0000000000000..ddefa92138c3a
--- /dev/null
+++ b/sycl/test-e2e/USM/pointer_query.cpp
@@ -0,0 +1,101 @@
+// RUN: %clangxx -fsycl %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==-------------- pointer_query.cpp - Pointer Query test ------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int main() {
+  int *array = nullptr;
+  const int N = 4;
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!(dev.get_info<info::device::usm_device_allocations>() &&
+        dev.get_info<info::device::usm_shared_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>()))
+    return 0;
+
+  usm::alloc Kind;
+
+  // Test device allocs
+  array = (int *)malloc_device(N * sizeof(int), q);
+  if (array == nullptr) {
+    return 1;
+  }
+  Kind = get_pointer_type(array, ctxt);
+  if (Kind != usm::alloc::device) {
+    return 3;
+  }
+  device D = get_pointer_device(array, ctxt);
+  if (D != dev) {
+    return 4;
+  }
+  free(array, ctxt);
+
+  // Test shared allocs
+  array = (int *)malloc_shared(N * sizeof(int), q);
+  if (array == nullptr) {
+    return 5;
+  }
+  Kind = get_pointer_type(array, ctxt);
+  if (Kind != usm::alloc::shared) {
+    return 7;
+  }
+  D = get_pointer_device(array, ctxt);
+  if (D != dev) {
+    return 8;
+  }
+  free(array, ctxt);
+
+  // Test host allocs
+  array = (int *)malloc_host(N * sizeof(int), q);
+  if (array == nullptr) {
+    return 9;
+  }
+  Kind = get_pointer_type(array, ctxt);
+  if (Kind != usm::alloc::host) {
+    return 10;
+  }
+  D = get_pointer_device(array, ctxt);
+  auto Devs = ctxt.get_devices();
+  auto result = std::find(Devs.begin(), Devs.end(), D);
+  if (result == Devs.end()) {
+    // Returned device was not in queried context
+    return 11;
+  }
+  free(array, ctxt);
+
+  // Test invalid ptrs
+  Kind = get_pointer_type(nullptr, ctxt);
+  if (Kind != usm::alloc::unknown) {
+    return 11;
+  }
+
+  // next checks only valid for non-host contexts
+  array = (int *)malloc(N * sizeof(int));
+  Kind = get_pointer_type(array, ctxt);
+  if (Kind != usm::alloc::unknown) {
+    return 12;
+  }
+  try {
+    D = get_pointer_device(array, ctxt);
+  } catch (runtime_error) {
+    return 0;
+  }
+  return 13;
+  free(array);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/pointer_query_descendent_device.cpp b/sycl/test-e2e/USM/pointer_query_descendent_device.cpp
new file mode 100644
index 0000000000000..0913d9d34facd
--- /dev/null
+++ b/sycl/test-e2e/USM/pointer_query_descendent_device.cpp
@@ -0,0 +1,60 @@
+// RUN: %clangxx -fsycl %s -o %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+
+// Use of descendent devices in opencl contexts is not supported yet.
+// UNSUPPORTED: opencl
+//==------ pointer_query_descendent_device.cpp - Pointer Query test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+#include <CL/sycl.hpp>
+#include <cassert>
+
+std::vector<sycl::device> getSubDevices(sycl::device &Dev) {
+  uint32_t MaxSubDevices =
+      Dev.get_info<sycl::info::device::partition_max_sub_devices>();
+  if (MaxSubDevices == 0)
+    return {};
+  try {
+    return Dev
+        .create_sub_devices<sycl::info::partition_property::partition_equally>(
+            1);
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::feature_not_supported);
+  }
+  try {
+    std::vector<size_t> Counts(MaxSubDevices, 1);
+    return Dev.create_sub_devices<
+        sycl::info::partition_property::partition_by_counts>(Counts);
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::feature_not_supported);
+  }
+  try {
+    return Dev.create_sub_devices<
+        sycl::info::partition_property::partition_by_affinity_domain>(
+        sycl::info::partition_affinity_domain::next_partitionable);
+  } catch (sycl::exception &e) {
+    assert(e.code() == sycl::errc::feature_not_supported);
+  }
+  assert(false &&
+         "MaxSubDevices is not 0, but none of the partition types worked");
+  return {};
+}
+
+int main() {
+  sycl::device Dev;
+  sycl::context Ctx{Dev};
+
+  std::vector<sycl::device> SubDevices = getSubDevices(Dev);
+  if (SubDevices.empty())
+    return 0;
+  sycl::queue Q{Ctx, SubDevices[0]};
+  void *Data = sycl::malloc_device(64, Q);
+  assert(sycl::get_pointer_type(Data, Ctx) == sycl::usm::alloc::device);
+  assert(sycl::get_pointer_device(Data, Ctx) == SubDevices[0]);
+
+  free(Data, Ctx);
+}
diff --git a/sycl/test-e2e/USM/prefetch.cpp b/sycl/test-e2e/USM/prefetch.cpp
new file mode 100644
index 0000000000000..86af74ec80425
--- /dev/null
+++ b/sycl/test-e2e/USM/prefetch.cpp
@@ -0,0 +1,73 @@
+//==---- prefetch.cpp - USM prefetch test ----------------------------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+static constexpr int count = 100;
+
+int main() {
+  queue q([](exception_list el) {
+    for (auto &e : el)
+      throw e;
+  });
+  if (q.get_device().get_info<info::device::usm_shared_allocations>()) {
+    float *src = (float *)malloc_shared(sizeof(float) * count, q.get_device(),
+                                        q.get_context());
+    float *dest = (float *)malloc_shared(sizeof(float) * count, q.get_device(),
+                                         q.get_context());
+    for (int i = 0; i < count; i++)
+      src[i] = i;
+
+    // Test handler::prefetch
+    {
+      event init_prefetch = q.submit(
+          [&](handler &cgh) { cgh.prefetch(src, sizeof(float) * count); });
+
+      q.submit([&](handler &cgh) {
+        cgh.depends_on(init_prefetch);
+        cgh.single_task<class double_dest>([=]() {
+          for (int i = 0; i < count; i++)
+            dest[i] = 2 * src[i];
+        });
+      });
+      q.wait_and_throw();
+
+      for (int i = 0; i < count; i++) {
+        assert(dest[i] == i * 2);
+      }
+    }
+
+    // Test queue::prefetch
+    {
+      event init_prefetch = q.prefetch(src, sizeof(float) * count);
+
+      q.submit([&](handler &cgh) {
+        cgh.depends_on(init_prefetch);
+        cgh.single_task<class double_dest3>([=]() {
+          for (int i = 0; i < count; i++)
+            dest[i] = 3 * src[i];
+        });
+      });
+      q.wait_and_throw();
+
+      for (int i = 0; i < count; i++) {
+        assert(dest[i] == i * 3);
+      }
+    }
+    free(src, q);
+    free(dest, q);
+  }
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/queue_wait.cpp b/sycl/test-e2e/USM/queue_wait.cpp
new file mode 100644
index 0000000000000..f121df90ccdad
--- /dev/null
+++ b/sycl/test-e2e/USM/queue_wait.cpp
@@ -0,0 +1,62 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+#include <cstddef>
+
+using namespace sycl;
+
+// This test checks that queue USM functions are properly waited for during
+// calls to queue::wait().
+
+int main() {
+  const std::size_t Size = 32;
+  queue Q;
+  device Dev = Q.get_device();
+  context Ctx = Q.get_context();
+  if (!(Dev.get_info<info::device::usm_device_allocations>() &&
+        Dev.get_info<info::device::usm_host_allocations>()))
+    return 0;
+
+  unsigned char *DevArr = (unsigned char *)malloc_device(Size, Dev, Ctx);
+  assert(DevArr);
+  unsigned char *HostArr = (unsigned char *)malloc_host(Size, Ctx);
+  assert(HostArr);
+
+  Q.memset(DevArr, 42, Size);
+  Q.wait();
+  Q.memcpy(HostArr, DevArr, Size);
+  Q.wait();
+
+  try {
+    Q.memset(nullptr, 42, Size);
+    Q.wait_and_throw();
+    assert(false && "Expected to have an exception throw instead of assert");
+  } catch (runtime_error e) {
+  }
+  try {
+    Q.memcpy(nullptr, DevArr, Size);
+    Q.wait_and_throw();
+    assert(false && "Expected to have an exception throw instead of assert");
+  } catch (runtime_error e) {
+  }
+
+  Q.memset(nullptr, 42, 0);
+  Q.wait();
+  Q.memcpy(nullptr, DevArr, 0);
+  Q.wait();
+
+  for (std::size_t i = 0; i < Size; ++i)
+    assert(HostArr[i] == 42);
+
+  free(DevArr, Ctx);
+  free(HostArr, Ctx);
+
+  std::cout << "Passed\n";
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/smem_concurrent.cpp b/sycl/test-e2e/USM/smem_concurrent.cpp
new file mode 100644
index 0000000000000..d6d267ffab929
--- /dev/null
+++ b/sycl/test-e2e/USM/smem_concurrent.cpp
@@ -0,0 +1,126 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER  %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+// This test is expected to reliably work with USM allocator which is
+// currently enabled only on level zero.
+// REQUIRES: level_zero
+
+//==------ smem_concurrent.cpp - Concurrent USM allocation test -----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <array>
+#include <vector>
+
+using namespace sycl;
+
+const int N = 8;
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_shared_allocations>()) {
+    return 1;
+  }
+
+  // This test checks that we're able to allocate/deallocate shared memory while
+  // the kernel is running, but we don't actually access such memory on the
+  // host.
+  constexpr size_t allocSize = 100;
+  constexpr size_t numAllocs = 6;
+
+  // Allocate "host" and "device" arrays of pointers.
+  uint8_t **hostPtrs =
+      (uint8_t **)malloc_shared(numAllocs * sizeof(uint8_t *), q);
+  uint8_t **devicePtrs =
+      (uint8_t **)malloc_shared(numAllocs * sizeof(uint8_t *), q);
+
+  // Fill "device" array with pointers to memory allocated with malloc_shared
+  for (size_t idx = 0; idx < numAllocs; ++idx) {
+    uint8_t *p = (uint8_t *)malloc_shared(allocSize, q);
+    *p = 1;
+    devicePtrs[idx] = p;
+  }
+
+  // Fill first halft of "host" array with pointers to memory allocated with
+  // malloc_shared. This part will be freed later.
+  for (size_t idx = 0; idx < numAllocs / 2; ++idx) {
+    uint8_t *p = (uint8_t *)malloc_shared(allocSize, q);
+    *p = 1;
+    hostPtrs[idx] = p;
+  }
+
+  // Allocate a memory to store the result of computation.
+  uint8_t *res = (uint8_t *)malloc_shared(1, q);
+  *res = 0;
+
+  // Run computation on device using "device" array
+  auto e = q.submit([&](handler &h) {
+    h.single_task<class foo>([res, devicePtrs]() {
+      for (size_t i = 0; i < numAllocs; ++i) {
+        *res += *(uint8_t *)devicePtrs[i];
+      }
+    });
+  });
+
+  // While running the computation kernel,
+  // free first half of "host" array
+  for (size_t i = 0; i < numAllocs / 2; ++i) {
+    free(hostPtrs[i], q);
+    hostPtrs[i] = nullptr;
+  }
+
+  // And then fill the second part of array with pointers allocated via
+  // malloc_shared.
+  for (size_t i = numAllocs / 2; i < numAllocs; ++i) {
+    uint8_t *p = (uint8_t *)malloc_shared(allocSize, q);
+    *p = 1;
+    hostPtrs[i] = p;
+  }
+
+  e.wait();
+
+  // After the kernel is finished update the computation result
+  // with data from "host" array of ptrs.
+  for (size_t i = 0; i < numAllocs; ++i) {
+    if (hostPtrs[i] == nullptr) {
+      *res += 2;
+    } else {
+      *res += *(uint8_t *)hostPtrs[i];
+    }
+  }
+
+  // Check the result
+  // +1 for each element in "device" array
+  // +2 for each freed "host" array ptr
+  // +1 for each allocated "host" array ptr
+  //
+  // total = 1 * numAllocs + numAllocs / 2 * 2 + numAllocs / 2
+  assert(*res == (numAllocs * 2 + numAllocs / 2));
+
+  for (size_t i = 0; i < numAllocs; ++i) {
+    if (devicePtrs[i] != nullptr) {
+      free(devicePtrs[i], q);
+    }
+    if (hostPtrs[i] != nullptr) {
+      free(hostPtrs[i], q);
+    }
+  }
+
+  free(res, q);
+  free(devicePtrs, q);
+  free(hostPtrs, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/smem_varied.cpp b/sycl/test-e2e/USM/smem_varied.cpp
new file mode 100644
index 0000000000000..d939e37e9218d
--- /dev/null
+++ b/sycl/test-e2e/USM/smem_varied.cpp
@@ -0,0 +1,110 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out -DTEST_SHARED
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER  %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+// This test is expected to reliably work with USM allocator which is
+// currently enabled only on level zero.
+// REQUIRES: level_zero
+
+//==---------- smem_varied.cpp - Test various sizes and alignments ---------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <vector>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_shared_allocations>()) {
+    return 0;
+  }
+
+  // Check allocation on small sizes and a large one, For each allocation
+  // also check several different alignments.
+  // To verify on device, store a valu per each pointer and calculate
+  // the sum on device and then check it.
+
+  constexpr size_t smallSizeLimit = 256;
+  constexpr size_t alignmentLimit = 64;
+  constexpr size_t largeSize = 128 * 1024; // 128k
+
+  // 1000 should be enough to store all the allocated pointers
+  constexpr size_t numPtrs = 1000;
+
+  uint8_t **ptrs = (uint8_t **)malloc_shared(numPtrs * sizeof(uint8_t *), q);
+  assert(ptrs != nullptr);
+  memset(ptrs, 0, numPtrs * sizeof(uint8_t *));
+
+  size_t count = 0;
+
+  // Small sizes to allocate
+  // Allocated sizes 2^n - 1 up to smallSizeLimit
+  for (size_t size = 2; size <= smallSizeLimit; size *= 2) {
+    uint8_t *p = (uint8_t *)malloc_shared(size - 1, q);
+    assert(p != nullptr);
+    *p = 1;
+    ptrs[count++] = p;
+
+    // Also test cases with alignment > size
+    for (size_t alignment = 1; alignment <= alignmentLimit; alignment *= 2) {
+      uint8_t *s = (uint8_t *)aligned_alloc_shared(alignment, size - 1, q);
+      assert(s != nullptr);
+      assert(((size_t)s) % alignment == 0);
+
+      *s = 1;
+      ptrs[count++] = s;
+    }
+  }
+
+  ptrs[count] = (uint8_t *)malloc_shared(largeSize, q);
+  assert(ptrs[count]);
+  *ptrs[count] = 1;
+  count++;
+
+  for (size_t alignment = 1; alignment <= alignmentLimit; alignment *= 8) {
+    uint8_t *a = (uint8_t *)aligned_alloc_shared(alignment, largeSize, q);
+    assert(a);
+    assert(((size_t)a) % alignment == 0);
+    *a = 1;
+
+    ptrs[count++] = a;
+  }
+
+  size_t *res =
+      (size_t *)aligned_alloc_shared(alignof(size_t), sizeof(size_t), q);
+  assert(res);
+  assert(((size_t)res) % alignof(size_t) == 0);
+  *res = 0;
+
+  q.submit([&](handler &h) {
+     h.single_task<class foo>([=]() {
+       for (size_t i = 0; i < count; ++i) {
+         *res += *ptrs[i];
+       }
+     });
+   }).wait();
+
+  assert(*res == count);
+
+  for (size_t i = 0; i < numPtrs; ++i) {
+    if (ptrs[i] != nullptr) {
+      free(ptrs[i], q);
+    }
+  }
+
+  free(res, q);
+  free(ptrs, q);
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/smemll.cpp b/sycl/test-e2e/USM/smemll.cpp
new file mode 100644
index 0000000000000..ee546fc72cb68
--- /dev/null
+++ b/sycl/test-e2e/USM/smemll.cpp
@@ -0,0 +1,81 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==------------------- smemll.cpp - Shared Memory Linked List test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_shared_allocations>())
+    return 0;
+
+  Node *s_head = (Node *)malloc_shared(sizeof(Node), dev, ctxt);
+  if (s_head == nullptr) {
+    return -1;
+  }
+  Node *s_cur = s_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    s_cur->Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      s_cur->pNext = (Node *)malloc_shared(sizeof(Node), dev, ctxt);
+      if (s_cur->pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      s_cur->pNext = nullptr;
+    }
+
+    s_cur = s_cur->pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = s_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  s_cur = s_head;
+  for (int i = 0; i < numNodes; i++) {
+    const int want = i * 4 + 1;
+    if (s_cur->Num != want) {
+      return -2;
+    }
+    Node *old = s_cur;
+    s_cur = s_cur->pNext;
+    free(old, ctxt);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/smemllaligned.cpp b/sycl/test-e2e/USM/smemllaligned.cpp
new file mode 100644
index 0000000000000..2a5b819b444ce
--- /dev/null
+++ b/sycl/test-e2e/USM/smemllaligned.cpp
@@ -0,0 +1,83 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+
+//==---- smemllaligned.cpp - Aligned Shared Memory Linked List test --------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+int numNodes = 4;
+
+struct Node {
+  Node() : pNext(nullptr), Num(0xDEADBEEF) {}
+
+  Node *pNext;
+  uint32_t Num;
+};
+
+class foo;
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  if (!dev.get_info<info::device::usm_shared_allocations>())
+    return 0;
+
+  Node *s_head =
+      (Node *)aligned_alloc_shared(alignof(Node), sizeof(Node), dev, ctxt);
+  if (s_head == nullptr) {
+    return -1;
+  }
+  Node *s_cur = s_head;
+
+  for (int i = 0; i < numNodes; i++) {
+    s_cur->Num = i * 2;
+
+    if (i != (numNodes - 1)) {
+      s_cur->pNext =
+          (Node *)aligned_alloc_shared(alignof(Node), sizeof(Node), dev, ctxt);
+      if (s_cur->pNext == nullptr) {
+        return -1;
+      }
+    } else {
+      s_cur->pNext = nullptr;
+    }
+
+    s_cur = s_cur->pNext;
+  }
+
+  auto e1 = q.submit([=](handler &cgh) {
+    cgh.single_task<class foo>([=]() {
+      Node *pHead = s_head;
+      while (pHead) {
+        pHead->Num = pHead->Num * 2 + 1;
+        pHead = pHead->pNext;
+      }
+    });
+  });
+
+  e1.wait();
+
+  s_cur = s_head;
+  for (int i = 0; i < numNodes; i++) {
+    const int want = i * 4 + 1;
+    if (s_cur->Num != want) {
+      return -2;
+    }
+    Node *old = s_cur;
+    s_cur = s_cur->pNext;
+    free(old, ctxt);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/source_kernel_indirect_access.cpp b/sycl/test-e2e/USM/source_kernel_indirect_access.cpp
new file mode 100644
index 0000000000000..3b95b97a379a3
--- /dev/null
+++ b/sycl/test-e2e/USM/source_kernel_indirect_access.cpp
@@ -0,0 +1,59 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %opencl_lib %s -o %t1.out
+// RUN: %CPU_RUN_PLACEHOLDER %t1.out
+// RUN: %GPU_RUN_PLACEHOLDER %t1.out
+// RUN: %ACC_RUN_PLACEHOLDER %t1.out
+// REQUIRES: opencl,opencl_icd
+
+#include <CL/cl.h>
+#include <iostream>
+#include <sycl/backend/opencl.hpp>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+
+static const char *Src = R"(
+kernel void test(global ulong *PSrc, global ulong *PDst) {
+    global int *Src = (global int *) *PSrc;
+    global int *Dst = (global int *) *PDst;
+    int Old = *Src, New = Old + 1;
+    printf("Read %d from %p; write %d to %p\n", Old, Src, New, Dst);
+    *Dst = New;
+}
+)";
+
+int main() {
+  queue Q{};
+
+  cl_context Ctx = get_native<backend::opencl>(Q.get_context());
+  cl_program Prog = clCreateProgramWithSource(Ctx, 1, &Src, NULL, NULL);
+  clBuildProgram(Prog, 0, NULL, NULL, NULL, NULL);
+
+  cl_kernel OclKernel = clCreateKernel(Prog, "test", NULL);
+
+  kernel SyclKernel = make_kernel<backend::opencl>(OclKernel, Q.get_context());
+
+  auto POuter = malloc_shared<int *>(1, Q);
+  auto PInner = malloc_shared<int>(1, Q);
+  auto QOuter = malloc_shared<int *>(1, Q);
+  auto QInner = malloc_shared<int>(1, Q);
+
+  *PInner = 4;
+  *POuter = PInner;
+  *QInner = 0;
+  *QOuter = QInner;
+
+  Q.submit([&](handler &CGH) {
+     CGH.set_arg(0, POuter);
+     CGH.set_arg(1, QOuter);
+     CGH.parallel_for(sycl::range<1>(1), SyclKernel);
+   }).wait();
+
+  assert(*PInner == 4 && "Read value is corrupted");
+  assert(*QInner == 5 && "Value value is incorrect");
+
+  std::cout << "Increment: " << *PInner << " -> " << *QInner << std::endl;
+
+  clReleaseKernel(OclKernel);
+  clReleaseProgram(Prog);
+  clReleaseContext(Ctx);
+}
diff --git a/sycl/test-e2e/USM/usm_alloc_utility.cpp b/sycl/test-e2e/USM/usm_alloc_utility.cpp
new file mode 100644
index 0000000000000..53649ba2a6d4b
--- /dev/null
+++ b/sycl/test-e2e/USM/usm_alloc_utility.cpp
@@ -0,0 +1,115 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==------ usm_alloc_utility.cpp - USM malloc and aligned_alloc test -------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+constexpr int N = 8;
+
+static void check_and_free(int *array, const device &dev, const context &ctxt,
+                           usm::alloc expected_type) {
+  // host device treats all allocations as host allocations
+  assert((get_pointer_type(array, ctxt) == expected_type) &&
+         "Allocation pointer has unexpected type.");
+  assert((get_pointer_device(array, ctxt) == dev) &&
+         "Allocation pointer has unexpected device associated with it.");
+  free(array, ctxt);
+}
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+  int *array;
+
+  if (dev.get_info<info::device::usm_host_allocations>()) {
+    array = (int *)malloc(N * sizeof(int), q, usm::alloc::host);
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array =
+        (int *)malloc(N * sizeof(int), q, usm::alloc::host, property_list{});
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array = (int *)aligned_alloc(alignof(long long), N * sizeof(int), q,
+                                 usm::alloc::host);
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array = (int *)aligned_alloc(alignof(long long), N * sizeof(int), q,
+                                 usm::alloc::host, property_list{});
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array = (int *)malloc_host(N * sizeof(int), q);
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array = (int *)malloc_host(
+        N * sizeof(int), q,
+        property_list{
+            ext::intel::experimental::property::usm::buffer_location{2}});
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array =
+        (int *)aligned_alloc_host(alignof(long long), N * sizeof(int), ctxt);
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+
+    array = (int *)aligned_alloc_host(
+        alignof(long long), N * sizeof(int), ctxt,
+        property_list{
+            ext::intel::experimental::property::usm::buffer_location{2}});
+    check_and_free(array, dev, ctxt, usm::alloc::host);
+  }
+
+  if (dev.get_info<info::device::usm_shared_allocations>()) {
+    array = (int *)malloc_shared(N * sizeof(int), q);
+    check_and_free(array, dev, ctxt, usm::alloc::shared);
+
+    array = (int *)malloc_shared(
+        N * sizeof(int), q,
+        property_list{
+            ext::intel::experimental::property::usm::buffer_location{2}});
+    check_and_free(array, dev, ctxt, usm::alloc::shared);
+
+    array = (int *)aligned_alloc_shared(alignof(long long), N * sizeof(int),
+                                        dev, ctxt);
+    check_and_free(array, dev, ctxt, usm::alloc::shared);
+
+    array = (int *)aligned_alloc_shared(
+        alignof(long long), N * sizeof(int), dev, ctxt,
+        property_list{
+            ext::intel::experimental::property::usm::buffer_location{2}});
+    check_and_free(array, dev, ctxt, usm::alloc::shared);
+  }
+
+  if (dev.get_info<info::device::usm_device_allocations>()) {
+    array = (int *)malloc_device(N * sizeof(int), q);
+    check_and_free(array, dev, ctxt, usm::alloc::device);
+
+    array = malloc_device<int>(
+        N, q,
+        property_list{
+            ext::intel::experimental::property::usm::buffer_location(2)});
+    check_and_free(array, dev, ctxt, usm::alloc::device);
+
+    array = (int *)aligned_alloc_device(alignof(long long), N * sizeof(int),
+                                        dev, ctxt);
+    check_and_free(array, dev, ctxt, usm::alloc::device);
+
+    array = (int *)aligned_alloc_device(alignof(long long), N * sizeof(int),
+                                        dev, ctxt, property_list{});
+    check_and_free(array, dev, ctxt, usm::alloc::device);
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/usm_allocator.cpp b/sycl/test-e2e/USM/usm_allocator.cpp
new file mode 100644
index 0000000000000..e434267f95184
--- /dev/null
+++ b/sycl/test-e2e/USM/usm_allocator.cpp
@@ -0,0 +1,46 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+// RUN: %ACC_RUN_PLACEHOLDER %t.out
+
+//==--------- usm_allocator.cpp - USM allocator construction test ----------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#include <sycl/sycl.hpp>
+
+#include <cassert>
+
+using namespace sycl;
+
+int main() {
+  queue q;
+  auto dev = q.get_device();
+  auto ctxt = q.get_context();
+
+  {
+    // Test usm_allocator
+    if (dev.get_info<info::device::usm_shared_allocations>() &&
+        dev.get_info<info::device::usm_host_allocations>()) {
+      usm_allocator<int, usm::alloc::shared> alloc11(ctxt, dev);
+      usm_allocator<int, usm::alloc::shared> alloc12(ctxt, dev,
+                                                     property_list{});
+      usm_allocator<int, usm::alloc::host> alloc21(q);
+      usm_allocator<int, usm::alloc::host> alloc22(alloc21);
+      usm_allocator<int, usm::alloc::host> alloc23(q, property_list{});
+
+      // usm::alloc::device is not supported by usm_allocator
+
+      assert((alloc11 != alloc22) && "Allocators should NOT be equal.");
+      assert((alloc11 == alloc12) && "Allocators should be equal.");
+      assert((alloc21 == alloc22) && "Allocators should be equal.");
+      assert((alloc21 == alloc23) && "Allocators should be equal.");
+    }
+  }
+
+  return 0;
+}
diff --git a/sycl/test-e2e/USM/usm_leak_check.cpp b/sycl/test-e2e/USM/usm_leak_check.cpp
new file mode 100755
index 0000000000000..bab629d765b4a
--- /dev/null
+++ b/sycl/test-e2e/USM/usm_leak_check.cpp
@@ -0,0 +1,92 @@
+// REQUIRES: level_zero
+
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+
+// RUN: env ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out u 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-USM
+// RUN: env ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out s 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-SMALL-BUF
+// RUN: env ZE_DEBUG=4 %GPU_RUN_PLACEHOLDER %t.out l 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-LARGE-BUF
+
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+#include <array>
+#include <iostream>
+
+void direct_usm(queue &Q) {
+  auto p1 = malloc_shared(1024, Q);
+  auto p2 = malloc_host(1024, Q);
+  auto p3 = malloc_device(1024, Q);
+  // Host and Device allocations, pooled by default will be automatically freed
+  // Shared is not pooled by default, so it needs to be explicitly freed
+  free(p1, Q.get_context());
+}
+
+template <typename T> class K;
+
+template <typename T, size_t N> void sycl_buffer(queue &Q) {
+  std::array<T, N> A, B, C;
+  range<1> numElems{N};
+  buffer<T, 1> bufferA(A.data(), numElems);
+  buffer<T, 1> bufferB(B.data(), numElems);
+  buffer<T, 1> bufferC(C.data(), numElems);
+
+  Q.submit([&](handler &cgh) {
+    accessor accA{bufferA, cgh, read_only};
+    accessor accB{bufferB, cgh, read_only};
+    accessor accC{bufferC, cgh, write_only};
+
+    cgh.parallel_for<class K<T>>(numElems,
+		[=](id<1> wiID) {
+      accC[wiID] = accA[wiID] + accB[wiID];
+    });
+  });
+}
+
+int main(int argc, char *argv[]) {
+  if (argc != 2)
+    return 1;
+
+  queue Queue;
+  auto D = Queue.get_device();
+  if (D.get_info<info::device::host_unified_memory>())
+    std::cerr << "Integrated GPU will use zeMemAllocHost\n";
+  else
+    std::cerr << "Discrete GPU will use zeMemAllocDevice\n";
+
+  if (argv[1][0] == 'u') {
+    // Try USM APIs
+    // This will generate one each of zeMemAllocHost/Device/Shared
+    std::cerr << "Direct USM\n";
+    direct_usm(Queue);
+  }
+  if (argv[1][0] == 's') {
+    // Try small buffers
+    // This will generate one zeMemAllocHost on Integrated or one
+    // zeMemAllocDevice on Discrete GPU
+    std::cerr << "Small buffers\n";
+    sycl_buffer<int, 4>(Queue);
+  }
+  if (argv[1][0] == 'l') {
+    // Try large buffers
+    // This will generate three zeMemAllocHost on Integrated or three
+    // zeMemAllocDevice on Discrete GPU
+    std::cerr << "Large buffers\n";
+    sycl_buffer<long, 10000>(Queue);
+  }
+
+  return 0;
+}
+
+// CHECK-USM: GPU will use {{zeMemAllocHost|zeMemAllocDevice}}
+// CHECK-USM: zeMemAllocDevice = 1
+// CHECK-USM:   zeMemAllocHost = 1
+// CHECK-USM: zeMemAllocShared = 1
+// CHECK-USM-SAME:   zeMemFree = 3
+
+// CHECK-SMALL-BUF: GPU will use [[API:zeMemAllocHost|zeMemAllocDevice]]
+// CHECK-SMALL-BUF:   [[API]] = 1
+// CHECK-SMALL-BUF: zeMemFree = 1
+
+// CHECK-LARGE-BUF: GPU will use [[API:zeMemAllocHost|zeMemAllocDevice]]
+// CHECK-LARGE-BUF:   [[API]] = 3
+// CHECK-LARGE-BUF: zeMemFree = 3
diff --git a/sycl/test-e2e/USM/usm_pooling.cpp b/sycl/test-e2e/USM/usm_pooling.cpp
new file mode 100755
index 0000000000000..45b7142e832b8
--- /dev/null
+++ b/sycl/test-e2e/USM/usm_pooling.cpp
@@ -0,0 +1,141 @@
+// REQUIRES: level_zero
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+
+// Allocate 2 items of 2MB. Free 2. Allocate 3 more of 2MB.
+
+// With no pooling: 1,2,3,4,5 allocs lead to ZE call.
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_DISABLE_USM_ALLOCATOR=1 %t.out h 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-NOPOOL
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_DISABLE_USM_ALLOCATOR=1 %t.out d 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-NOPOOL
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_DISABLE_USM_ALLOCATOR=1 %t.out s 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-NOPOOL
+
+// With pooling enabled and MaxPooolable=1MB: 1,2,3,4,5 allocs lead to ZE call.
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;1M,4,64K" %t.out h 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-12345
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;1M,4,64K" %t.out d 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-12345
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;1M,4,64K" %t.out s 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-12345
+
+// With pooling enabled and capacity=1: 1,2,4,5 allocs lead to ZE call.
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;2M,1,64K" %t.out h 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-1245
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;2M,1,64K" %t.out d 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-1245
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;2M,1,64K" %t.out s 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-1245
+
+// With pooling enabled and MaxPoolSize=2MB: 1,2,4,5 allocs lead to ZE call.
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";2M;2M,4,64K" %t.out h 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-1245
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";2M;2M,4,64K" %t.out d 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-1245
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";2M;2M,4,64K" %t.out s 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-1245
+
+// With pooling enabled and SlabMinSize of 4 MB: 1,5 allocs lead to ZE call.
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;2M,4,4M" %t.out h 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-15
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;2M,4,4M" %t.out d 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-15
+// RUN: env ZE_DEBUG=1 %GPU_RUN_PLACEHOLDER SYCL_PI_LEVEL_ZERO_USM_ALLOCATOR=";;2M,4,4M" %t.out s 2> %t1.out; cat %t1.out %GPU_CHECK_PLACEHOLDER --check-prefix CHECK-15
+#include "CL/sycl.hpp"
+#include <iostream>
+using namespace sycl;
+
+constexpr size_t SIZE = 2 * 1024 * 1024;
+
+void test_host(context C) {
+
+  void *ph1 = malloc_host(SIZE, C);
+  void *ph2 = malloc_host(SIZE, C);
+  free(ph1, C);
+  free(ph2, C);
+  void *ph3 = malloc_host(SIZE, C);
+  void *ph4 = malloc_host(SIZE, C);
+  void *ph5 = malloc_host(SIZE, C);
+  free(ph3, C);
+  free(ph4, C);
+  free(ph5, C);
+}
+
+void test_device(context C, device D) {
+
+  void *ph1 = malloc_device(SIZE, D, C);
+  void *ph2 = malloc_device(SIZE, D, C);
+  free(ph1, C);
+  free(ph2, C);
+  void *ph3 = malloc_device(SIZE, D, C);
+  void *ph4 = malloc_device(SIZE, D, C);
+  void *ph5 = malloc_device(SIZE, D, C);
+  free(ph3, C);
+  free(ph4, C);
+  free(ph5, C);
+}
+
+void test_shared(context C, device D) {
+
+  void *ph1 = malloc_shared(SIZE, D, C);
+  void *ph2 = malloc_shared(SIZE, D, C);
+  free(ph1, C);
+  free(ph2, C);
+  void *ph3 = malloc_shared(SIZE, D, C);
+  void *ph4 = malloc_shared(SIZE, D, C);
+  void *ph5 = malloc_shared(SIZE, D, C);
+  free(ph3, C);
+  free(ph4, C);
+  free(ph5, C);
+}
+
+int main(int argc, char *argv[]) {
+  queue Q;
+  device D = Q.get_device();
+  context C = Q.get_context();
+
+  const char *devType = D.is_cpu() ? "CPU" : "GPU";
+  std::string pluginName =
+      D.get_platform().get_info<sycl::info::platform::name>();
+  std::cout << "Running on device " << devType << " ("
+            << D.get_info<sycl::info::device::name>() << ") " << pluginName
+            << " plugin\n";
+
+  if (*argv[1] == 'h') {
+    std::cerr << "Test zeMemAllocHost\n";
+    test_host(C);
+  } else if (*argv[1] == 'd') {
+    std::cerr << "Test zeMemAllocDevice\n";
+    test_device(C, D);
+  } else if (*argv[1] == 's') {
+    std::cerr << "Test zeMemAllocShared\n";
+    test_shared(C, D);
+  }
+
+  return 0;
+}
+
+// CHECK-NOPOOL: Test [[API:zeMemAllocHost|zeMemAllocDevice|zeMemAllocShared]]
+// CHECK-NOPOOL-NEXT:  ZE ---> [[API]](
+// CHECK-NOPOOL-NEXT:  ZE ---> [[API]](
+// CHECK-NOPOOL-NEXT:  ZE ---> zeMemFree
+// CHECK-NOPOOL-NEXT:  ZE ---> zeMemFree
+// CHECK-NOPOOL-NEXT:  ZE ---> [[API]](
+// CHECK-NOPOOL-NEXT:  ZE ---> [[API]](
+// CHECK-NOPOOL-NEXT:  ZE ---> [[API]](
+
+// CHECK-12345: Test [[API:zeMemAllocHost|zeMemAllocDevice|zeMemAllocShared]]
+// CHECK-12345-NEXT:  ZE ---> [[API]](
+// CHECK-12345-NEXT:  ZE ---> [[API]](
+// CHECK-12345-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-12345-NEXT:  ZE ---> zeMemFree
+// CHECK-12345-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-12345-NEXT:  ZE ---> zeMemFree
+// CHECK-12345-NEXT:  ZE ---> [[API]](
+// CHECK-12345-NEXT:  ZE ---> [[API]](
+// CHECK-12345-NEXT:  ZE ---> [[API]](
+
+// CHECK-1245: Test [[API:zeMemAllocHost|zeMemAllocDevice|zeMemAllocShared]]
+// CHECK-1245-NEXT:  ZE ---> [[API]](
+// CHECK-1245-NEXT:  ZE ---> [[API]](
+// CHECK-1245-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-1245-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-1245-NEXT:  ZE ---> zeMemFree
+// CHECK-1245-NEXT:  ZE ---> [[API]](
+// CHECK-1245-NEXT:  ZE ---> [[API]](
+
+// CHECK-15: Test [[API:zeMemAllocHost|zeMemAllocDevice|zeMemAllocShared]]
+// CHECK-15-NEXT:  ZE ---> [[API]](
+// CHECK-15-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-15-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-15-NEXT:  ZE ---> [[API]](
+// CHECK-15-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-15-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-15-NEXT:  ZE ---> zeMemGetAllocProperties
+// CHECK-15-NEXT:  ZE ---> zeMemFree
diff --git a/sycl/test-e2e/UserDefinedReductions/user_defined_reductions.cpp b/sycl/test-e2e/UserDefinedReductions/user_defined_reductions.cpp
new file mode 100644
index 0000000000000..610c0bed16334
--- /dev/null
+++ b/sycl/test-e2e/UserDefinedReductions/user_defined_reductions.cpp
@@ -0,0 +1,211 @@
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: %t.out
+//
+// UNSUPPORTED: cuda || hip
+
+#include <numeric>
+
+#include <sycl/ext/oneapi/experimental/user_defined_reductions.hpp>
+#include <sycl/sycl.hpp>
+
+template <typename T> struct UserDefinedSum {
+  T operator()(T a, T b) { return a + b; }
+};
+
+template <typename T> struct UserDefinedMax {
+  T operator()(T a, T b) { return (a < b) ? b : a; }
+};
+
+template <typename T> struct UserDefinedBitAnd {
+  T operator()(const T &a, const T &b) const { return a & b; }
+};
+
+template <typename T> struct UserDefinedMultiplies {
+  T operator()(const T &a, const T &b) const { return a * b; }
+};
+
+struct custom_type_nested {
+  static constexpr int default_i_value = 6;
+  static constexpr float default_f_value = 1.5;
+
+  constexpr custom_type_nested() = default;
+  constexpr custom_type_nested(int i, float f) : i(i), f(f) {}
+
+  int i = default_i_value;
+  float f = default_f_value;
+};
+
+inline bool operator==(const custom_type_nested &lhs,
+                       const custom_type_nested &rhs) {
+  return lhs.i == rhs.i && lhs.f == rhs.f;
+}
+
+inline std::ostream &operator<<(std::ostream &out,
+                                const custom_type_nested &v) {
+  return out << "custom_type_nested { .i = " << v.i << ", .f = " << v.f << "}";
+}
+
+struct custom_type {
+  static constexpr unsigned long long default_ull_value = 42;
+
+  constexpr custom_type() = default;
+  constexpr custom_type(int i, float f, unsigned long long ull)
+      : n(i, f), ull(ull) {}
+
+  custom_type_nested n;
+  unsigned long long ull = default_ull_value;
+};
+
+inline bool operator==(const custom_type &lhs, const custom_type &rhs) {
+  return lhs.n == rhs.n && lhs.ull == rhs.ull;
+}
+
+inline custom_type operator+(const custom_type &lhs, const custom_type &rhs) {
+  return custom_type(lhs.n.i + rhs.n.i, lhs.n.f + rhs.n.f, lhs.ull + rhs.ull);
+}
+
+struct custom_type_wo_default_ctor {
+  static constexpr unsigned long long default_ull_value = 42;
+
+  constexpr custom_type_wo_default_ctor() = delete;
+  constexpr custom_type_wo_default_ctor(int i, float f, unsigned long long ull)
+      : n(i, f), ull(ull) {}
+
+  custom_type_nested n;
+  unsigned long long ull = default_ull_value;
+};
+
+inline bool operator==(const custom_type_wo_default_ctor &lhs,
+                       const custom_type_wo_default_ctor &rhs) {
+  return lhs.n == rhs.n && lhs.ull == rhs.ull;
+}
+
+inline custom_type_wo_default_ctor
+operator+(const custom_type_wo_default_ctor &lhs,
+          const custom_type_wo_default_ctor &rhs) {
+  return custom_type_wo_default_ctor(lhs.n.i + rhs.n.i, lhs.n.f + rhs.n.f,
+                                     lhs.ull + rhs.ull);
+}
+
+template <typename T, std::size_t... Is>
+constexpr std::array<T, sizeof...(Is)> init_array(T value,
+                                                  std::index_sequence<Is...>) {
+  return {{(static_cast<void>(Is), value)...}};
+}
+
+using namespace sycl;
+
+template <typename InputContainer, typename OutputContainer,
+          class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op, size_t workgroup_size,
+          typename OutputContainer::value_type identity,
+          typename OutputContainer::value_type init) {
+  using InputT = typename InputContainer::value_type;
+  using OutputT = typename OutputContainer::value_type;
+  constexpr size_t N = input.size();
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+
+      size_t temp_memory_size = workgroup_size * sizeof(InputT);
+      auto scratch = sycl::local_accessor<std::byte, 1>(temp_memory_size, cgh);
+      cgh.parallel_for(
+          nd_range<1>(workgroup_size, workgroup_size), [=](nd_item<1> it) {
+            // Create a handle that associates the group with an allocation it
+            // can use
+            auto handle =
+                sycl::ext::oneapi::experimental::group_with_scratchpad(
+                    it.get_group(), sycl::span(&scratch[0], temp_memory_size));
+
+            InputT *first = in.get_pointer();
+            InputT *last = first + N;
+            // check reduce_over_group w/o init
+            out[0] = sycl::ext::oneapi::experimental::reduce_over_group(
+                handle, in[it.get_global_id(0)], binary_op);
+
+            // check reduce_over_group with init
+            out[1] = sycl::ext::oneapi::experimental::reduce_over_group(
+                handle, in[it.get_global_id(0)], init, binary_op);
+
+            // check joint_reduce w/o init
+            out[2] = sycl::ext::oneapi::experimental::joint_reduce(
+                handle, first, last, binary_op);
+
+            // check joint_reduce with init
+            out[3] = sycl::ext::oneapi::experimental::joint_reduce(
+                handle, first, last, init, binary_op);
+          });
+    });
+    q.wait();
+  }
+  assert(output[0] == std::reduce(input.begin(), input.begin() + workgroup_size,
+                                  identity, binary_op));
+  assert(output[1] == std::reduce(input.begin(), input.begin() + workgroup_size,
+                                  init, binary_op));
+  assert(output[2] ==
+         std::reduce(input.begin(), input.end(), identity, binary_op));
+  assert(output[3] == std::reduce(input.begin(), input.end(), init, binary_op));
+}
+
+int main() {
+  queue q;
+
+  constexpr int N = 128;
+  std::array<int, N> input;
+  std::array<int, 4> output;
+  std::iota(input.begin(), input.end(), 0);
+  std::fill(output.begin(), output.end(), 0);
+
+  // queue, input array, output array, binary_op, WG size, identity, init
+  test(q, input, output, UserDefinedSum<int>{}, 64, 0, 42);
+  test(q, input, output, UserDefinedSum<int>{}, 32, 0, 42);
+  test(q, input, output, UserDefinedSum<int>{}, 5, 0, 42);
+  test(q, input, output, UserDefinedMax<int>{}, 64,
+       std::numeric_limits<int>::lowest(), 42);
+  test(q, input, output, UserDefinedMultiplies<int>(), 64, 1, 42);
+  test(q, input, output, UserDefinedBitAnd<int>{}, 64, ~0, 42);
+
+  test(q, input, output, sycl::plus<int>(), 64, 0, 42);
+  test(q, input, output, sycl::maximum<>(), 64,
+       std::numeric_limits<int>::lowest(), 42);
+  test(q, input, output, sycl::minimum<int>(), 64,
+       std::numeric_limits<int>::max(), 42);
+
+  test(q, input, output, sycl::multiplies<int>(), 64, 1, 42);
+  test(q, input, output, sycl::bit_or<int>(), 64, 0, 42);
+  test(q, input, output, sycl::bit_xor<int>(), 64, 0, 42);
+  test(q, input, output, sycl::bit_and<int>(), 64, ~0, 42);
+
+  std::array<custom_type, N> input_custom;
+  std::array<custom_type, 4> output_custom;
+  test(q, input_custom, output_custom, UserDefinedSum<custom_type>{}, 64,
+       custom_type(0, 0., 0), custom_type(10, 0., 5));
+
+  custom_type_wo_default_ctor value(1, 2.5, 3);
+  std::array<custom_type_wo_default_ctor, N> input_custom_wo_default_ctor =
+      init_array(value, std::make_index_sequence<N>());
+  std::array<custom_type_wo_default_ctor, 4> output_custom_wo_default_ctor =
+      init_array(value, std::make_index_sequence<4>());
+  test(q, input_custom_wo_default_ctor, output_custom_wo_default_ctor,
+       UserDefinedSum<custom_type_wo_default_ctor>{}, 64,
+       custom_type_wo_default_ctor(0, 0., 0),
+       custom_type_wo_default_ctor(10, 0., 5));
+
+#ifdef SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS
+  std::array<std::complex<float>, N> input_cf;
+  std::array<std::complex<float>, 4> output_cf;
+  std::iota(input_cf.begin(), input_cf.end(), 0);
+  std::fill(output_cf.begin(), output_cf.end(), 0);
+  test(q, input_cf, output_cf, sycl::plus<std::complex<float>>(), 64, 0, 42);
+  test(q, input_cf, output_cf, sycl::plus<>(), 64, 0, 42);
+#else
+  static_assert(false, "SYCL_EXT_ONEAPI_COMPLEX_ALGORITHMS not defined");
+#endif
+
+  return 0;
+}
diff --git a/sycl/test-e2e/UserDefinedReductions/user_defined_reductions_wg_size_larger_than_data_size.cpp b/sycl/test-e2e/UserDefinedReductions/user_defined_reductions_wg_size_larger_than_data_size.cpp
new file mode 100644
index 0000000000000..c14d59d8ca0ad
--- /dev/null
+++ b/sycl/test-e2e/UserDefinedReductions/user_defined_reductions_wg_size_larger_than_data_size.cpp
@@ -0,0 +1,80 @@
+// RUN: %clangxx -fsycl -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <numeric>
+
+#include <sycl/ext/oneapi/experimental/user_defined_reductions.hpp>
+#include <sycl/sycl.hpp>
+
+// 1. Allocate an buffer of 16 elements where first 8 elements filled with 1,
+//    ..., 8 and the second 8 elements filled with 0.
+// 2. Submit a kernel with one wg of size 16.
+// 3. invoke joint_reduce with first ==  start of the buffer and last ==  start
+//    of the buffer + 8 elems.
+// 4. The result should be equal to 1, as 1 is the minimum number in the
+//    selection.
+
+template <typename T = void> struct UserDefinedMinimum {
+  T operator()(const T &lhs, const T &rhs) const {
+    return std::less<T>()(lhs, rhs) ? lhs : rhs;
+  }
+};
+
+constexpr int segment_size = 8;
+
+using namespace sycl;
+
+template <typename InputContainer, typename OutputContainer,
+          class BinaryOperation>
+void test(queue q, InputContainer input, OutputContainer output,
+          BinaryOperation binary_op, size_t workgroup_size,
+          typename OutputContainer::value_type init) {
+  using InputT = typename InputContainer::value_type;
+  using OutputT = typename OutputContainer::value_type;
+  constexpr size_t N = input.size();
+  {
+    buffer<InputT> in_buf(input.data(), input.size());
+    buffer<OutputT> out_buf(output.data(), output.size());
+
+    q.submit([&](handler &cgh) {
+      accessor in{in_buf, cgh, sycl::read_only};
+      accessor out{out_buf, cgh, sycl::write_only, sycl::no_init};
+
+      size_t temp_memory_size = workgroup_size * sizeof(InputT);
+      auto scratch = sycl::local_accessor<std::byte, 1>(temp_memory_size, cgh);
+      cgh.parallel_for(
+          nd_range<1>(workgroup_size, workgroup_size), [=](nd_item<1> it) {
+            InputT *segment_begin = in.get_pointer();
+            InputT *segment_end = in.get_pointer() + segment_size;
+            auto handle =
+                sycl::ext::oneapi::experimental::group_with_scratchpad(
+                    it.get_group(), sycl::span(&scratch[0], temp_memory_size));
+            OutputT group_aggregate =
+                sycl::ext::oneapi::experimental::joint_reduce(
+                    handle, segment_begin, segment_end, init, binary_op);
+            if (it.get_local_linear_id() == 0) {
+              out[it.get_group_linear_id()] = group_aggregate;
+            }
+          });
+    });
+    q.wait();
+  }
+  assert(output[0] == 1);
+}
+
+int main() {
+  queue q;
+
+  constexpr int N = 16;
+  std::array<int, N> input;
+  std::iota(input.begin(), input.begin() + segment_size, 1);
+  std::fill(input.begin() + segment_size, input.end(), 0);
+  std::array<int, 1> output;
+
+  // queue, input array, output array, binary_op, segment_size, WG size, init
+  test(q, input, output, sycl::minimum<int>{}, N, INT_MAX);
+  test(q, input, output, UserDefinedMinimum<int>{}, N, INT_MAX);
+  return 0;
+}
diff --git a/sycl/test-e2e/XPTI/basic_event_collection.inc b/sycl/test-e2e/XPTI/basic_event_collection.inc
new file mode 100644
index 0000000000000..b23f1474e1a03
--- /dev/null
+++ b/sycl/test-e2e/XPTI/basic_event_collection.inc
@@ -0,0 +1,32 @@
+#ifdef XPTI_COLLECTOR
+
+#include "Inputs/test_collector.cpp"
+
+#else
+
+#include <sycl/sycl.hpp>
+
+int main() {
+  sycl::queue Q{sycl::default_selector_v};
+
+  auto Ptr = sycl::malloc_device<int>(1, Q);
+
+  auto Evt1 = Q.single_task([=]() { Ptr[0] = 1; });
+
+  auto Evt2 = Q.submit([&](sycl::handler &CGH) {
+    CGH.depends_on(Evt1);
+    CGH.single_task([=]() { Ptr[0]++; });
+  });
+
+  Evt2.wait();
+
+  int Res = 0;
+  Q.memcpy(&Res, Ptr, 1);
+  Q.wait();
+
+  assert(Res == 2);
+
+  return 0;
+}
+
+#endif
diff --git a/sycl/test-e2e/XPTI/basic_event_collection_linux.cpp b/sycl/test-e2e/XPTI/basic_event_collection_linux.cpp
new file mode 100644
index 0000000000000..a92862ebbe1d3
--- /dev/null
+++ b/sycl/test-e2e/XPTI/basic_event_collection_linux.cpp
@@ -0,0 +1,70 @@
+// Test is disabled to allow a few output format changes to pass pre-commit
+// testing.
+// REQUIRES: xptifw, opencl, cpu, linux, TEMPORARILY_DISABLED
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib -shared -fPIC -std=c++17 -o %t_collector.so
+// RUN: %clangxx -fsycl -fsycl-unnamed-lambda -fsycl-targets=%sycl_triple %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 env XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher env XPTI_SUBSCRIBERS=%t_collector.so %CPU_RUN_PLACEHOLDER %t.out %CPU_CHECK_PLACEHOLDER
+
+#include "basic_event_collection.inc"
+//
+// CHECK: xptiTraceInit: Stream Name = sycl.experimental.mem_alloc
+// CHECK: xptiTraceInit: Stream Name = sycl
+// CHECK-NEXT: Graph create
+// CHECK-NEXT: xptiTraceInit: Stream Name = sycl.pi
+// CHECK-NEXT: xptiTraceInit: Stream Name = sycl.pi.debug
+// CHECK:      PI Call Begin : piPlatformsGet
+// CHECK:      PI Call Begin : piContextCreate
+// CHECK-NEXT: PI Call Begin : piQueueCreate
+// CHECK:      PI Call Begin : piextDeviceSelectBinary
+// CHECK:      PI Call Begin : piKernelCreate
+// CHECK-NEXT: PI Call Begin : piKernelSetExecInfo
+// CHECK-NEXT: PI Call Begin : piextKernelSetArgPointer
+// CHECK-NEXT: PI Call Begin : piKernelGetGroupInfo
+// CHECK-NEXT: PI Call Begin : piEnqueueKernelLaunch
+// CHECK-NEXT: Node create
+// CHECK-NEXT:   sym_line_no : {{.*}}
+// CHECK-NEXT:   sym_source_file_name : {{.*}}
+// CHECK-NEXT:   sym_function_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   from_source : false
+// CHECK-NEXT:   kernel_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   sycl_device : {{.*}}
+// CHECK-NEXT: Node create
+// CHECK-NEXT:   kernel_name : virtual_node[{{.*}}]
+// CHECK-NEXT: Edge create
+// CHECK-NEXT:   event : Event[{{.*}}]
+// CHECK-NEXT: Task begin
+// CHECK-NEXT:   sym_line_no : {{.*}}
+// CHECK-NEXT:   sym_source_file_name : {{.*}}
+// CHECK-NEXT:   sym_function_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   from_source : false
+// CHECK-NEXT:   kernel_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   sycl_device : {{.*}}
+// CHECK-NEXT: PI Call Begin : piKernelCreate
+// CHECK-NEXT: PI Call Begin : piKernelSetExecInfo
+// CHECK-NEXT: PI Call Begin : piextKernelSetArgPointer
+// CHECK-NEXT: PI Call Begin : piKernelGetGroupInfo
+// CHECK-NEXT: PI Call Begin : piEnqueueKernelLaunch
+// CHECK-NEXT: Signal
+// CHECK-NEXT:   sym_line_no : {{.*}}
+// CHECK-NEXT:   sym_source_file_name : {{.*}}
+// CHECK-NEXT:   sym_function_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   from_source : false
+// CHECK-NEXT:   kernel_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   sycl_device : {{.*}}
+// CHECK-NEXT: Task end
+// CHECK-NEXT:   sym_line_no : {{.*}}
+// CHECK-NEXT:   sym_source_file_name : {{.*}}
+// CHECK-NEXT:   sym_function_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   from_source : false
+// CHECK-NEXT:   kernel_name : typeinfo name for main::{lambda(sycl::handler&)#1}::operator()(sycl::handler&) const::{lambda()#1}
+// CHECK-NEXT:   sycl_device : {{.*}}
+// CHECK-NEXT: Wait begin
+// CHECK-NEXT: PI Call Begin : piEventsWait
+// CHECK-NEXT: Wait end
+// CHECK-NEXT: PI Call Begin : piextUSMEnqueueMemcpy
+// CHECK-NEXT: PI Call Begin : piEventRelease
+// CHECK-NEXT: Wait begin
+// CHECK-NEXT:   sycl_device : {{.*}}
+// CHECK-NEXT: PI Call Begin : piQueueFinish
+// CHECK-NEXT: Wait end
+// CHECK-NEXT:   sycl_device : {{.*}}
diff --git a/sycl/test-e2e/XPTI/buffer/accessors.cpp b/sycl/test-e2e/XPTI/buffer/accessors.cpp
new file mode 100644
index 0000000000000..84b9dc7773cb2
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/accessors.cpp
@@ -0,0 +1,63 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+
+#include <sycl/sycl.hpp>
+
+using namespace sycl::access;
+
+int main() {
+  bool MismatchFound = false;
+  sycl::queue Queue{};
+
+  // CHECK:{{[0-9]+}}|Create buffer|[[BUFFERID:[0-9,a-f,x]+]]|0x0|{{i(nt)*}}|4|1|{3,0,0}|{{.*}}accessors.cpp:[[# @LINE + 1]]:24
+  sycl::buffer<int, 1> Buf(3);
+
+  sycl::range<1> Range{Buf.size()};
+
+  Queue.submit([&](sycl::handler &cgh) {
+    // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID1:.+]]|2015|1024|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+    auto A1 = Buf.get_access<mode::read, target::constant_buffer>(cgh);
+    // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID2:.*]]|2014|1025|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+    auto A2 = Buf.get_access<mode::write>(cgh);
+    // CHECK: {{[0-9]+}}|Construct accessor|0x0|[[ACCID3:.*]]|2016|1026|{{.*}}accessors.cpp:[[# @LINE + 1]]:34
+    sycl::local_accessor<int, 1> A3(Range, cgh);
+    // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID4:.*]]|2014|1027|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+    auto A4 = Buf.get_access<mode::discard_write>(cgh);
+    // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID5:.*]]|2014|1028|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+    auto A5 = Buf.get_access<mode::discard_read_write, target::device>(cgh);
+    // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID6:.*]]|2014|1029|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+    auto A6 = Buf.get_access<mode::atomic>(cgh);
+    cgh.parallel_for<class FillBuffer>(Range, [=](sycl::id<1> WIid) {
+      (void)A1;
+      (void)A2;
+      (void)A3;
+      (void)A4;
+      (void)A5;
+      (void)A6;
+    });
+  });
+  // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID7:.*]]|2018|1024|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+  { auto HA = Buf.get_access<mode::read>(); }
+  // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID8:.*]]|2018|1025|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+  { auto HA = Buf.get_access<mode::write>(); }
+  // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID9:.*]]|2018|1026|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+  { auto HA = Buf.get_access<mode::read_write>(); }
+  // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID10:.*]]|2018|1027|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+  { auto HA = Buf.get_access<mode::discard_write>(); }
+  // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID11:.*]]|2018|1028|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+  { auto HA = Buf.get_access<mode::discard_read_write>(); }
+  // CHECK: {{[0-9]+}}|Construct accessor|[[BUFFERID]]|[[ACCID12:.*]]|2018|1029|{{.*}}accessors.cpp:[[# @LINE + 1]]:15
+  { auto HA = Buf.get_access<mode::atomic>(); }
+
+  return 0;
+}
+// CHECK:{{[0-9]+}}|Destruct buffer|[[BUFFERID]]
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/host_array.cpp b/sycl/test-e2e/XPTI/buffer/host_array.cpp
new file mode 100644
index 0000000000000..4f60fdbb3d737
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/host_array.cpp
@@ -0,0 +1,48 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  bool MismatchFound = false;
+  sycl::queue Queue{};
+
+  int Array[4];
+  {
+    sycl::range<1> NumOfWorkItems{4};
+    // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:[0-9,a-f,x]+]]|0x{{.*}}|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}host_array.cpp:[[# @LINE + 1]]:26
+    sycl::buffer<int, 1> Buffer1(Array, NumOfWorkItems);
+
+    // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+    Queue.submit([&](sycl::handler &cgh) {
+      // Get write only access to the buffer on a device.
+      auto Accessor1 = Buffer1.get_access<sycl::access::mode::write>(cgh);
+      // Execute kernel.
+      cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+        Accessor1[WIid] = static_cast<int>(WIid.get(0));
+      });
+    });
+  }
+
+  // Check the results.
+  for (size_t I = 0; I < 4; ++I) {
+    if (Array[I] != I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I << " , got: " << Array[I] << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  return MismatchFound;
+}
+// CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+// CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/in_cycle.cpp b/sycl/test-e2e/XPTI/buffer/in_cycle.cpp
new file mode 100644
index 0000000000000..674a943468fc5
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/in_cycle.cpp
@@ -0,0 +1,73 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+// It looks like order of events diffres on Windows
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+#include <iostream>
+#include <sycl/sycl.hpp>
+bool func(sycl::queue &Queue, int depth = 0) {
+  bool MismatchFound = false;
+  // Create a buffer of 4 ints to be used inside the kernel code.
+  sycl::buffer<int, 1> Buffer(4);
+
+  // Size of index space for kernel.
+  sycl::range<1> NumOfWorkItems{Buffer.size()};
+
+  // Submit command group(work) to queue.
+  Queue.submit([&](sycl::handler &cgh) {
+    // Get write only access to the buffer on a device.
+    auto Accessor = Buffer.get_access<sycl::access::mode::write>(cgh);
+    // Execute kernel.
+    cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+      Accessor[WIid] = static_cast<int>(WIid.get(0));
+    });
+  });
+
+  // Get read only access to the buffer on the host.
+  // This introduces an implicit barrier which blocks execution until the
+  // command group above completes.
+  const auto HostAccessor = Buffer.get_access<sycl::access::mode::read>();
+
+  // Check the results.
+  for (size_t I = 0; I < Buffer.size(); ++I) {
+    if (HostAccessor[I] != I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I << " , got: " << HostAccessor[I]
+                << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  if (depth > 0)
+    MismatchFound &= func(Queue, depth - 1);
+  return MismatchFound;
+}
+int main() {
+  bool MismatchFound = false;
+  // Create a SYCL queue.
+  sycl::queue Queue{};
+
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:[0-9,a-f,x]*]]|0x0|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}in_cycle.cpp:17:24
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID2:[0-9,a-f,x]*]]|0x0|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}in_cycle.cpp:17:24
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID2]]|[[BEID2:.*]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID2]]|[[BEID2]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID2]]
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID3:[0-9,a-f,x]*]]|0x0|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}in_cycle.cpp:17:24
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID3]]|[[BEID3:.*]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID3]]|[[BEID3]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID3]]
+  for (int i = 0; i < 3; i++)
+    MismatchFound &= func(Queue);
+  return MismatchFound;
+}
+
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/multiple_buffers.cpp b/sycl/test-e2e/XPTI/buffer/multiple_buffers.cpp
new file mode 100644
index 0000000000000..938823cd9be57
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/multiple_buffers.cpp
@@ -0,0 +1,57 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  bool MismatchFound = false;
+  sycl::queue Queue{};
+
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:[0-9,a-f,x]+]]|0x0|{{s(hort)*}}|2|1|{4,0,0}|{{.*}}multiple_buffers.cpp:[[# @LINE + 1]]:26
+  sycl::buffer<short, 1> Buffer1(4);
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID2:[0-9,a-f,x]+]]|0x0|{{c(har)*}}|1|3|{5,4,3}|{{.*}}multiple_buffers.cpp:[[# @LINE + 1]]:25
+  sycl::buffer<char, 3> Buffer2({5, 4, 3});
+
+  sycl::range<1> NumOfWorkItems{Buffer1.size()};
+
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID2]]|[[BEID2:.*]]
+  Queue.submit([&](sycl::handler &cgh) {
+    // Get write only access to the buffer on a device.
+    auto Accessor1 = Buffer1.get_access<sycl::access::mode::write>(cgh);
+    auto Accessor2 = Buffer2.get_access<sycl::access::mode::write>(cgh);
+    // Execute kernel.
+    cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+      Accessor1[WIid] = static_cast<short>(WIid.get(0));
+      Accessor2[WIid][0][0] = static_cast<char>(WIid.get(0));
+    });
+  });
+
+  const auto HostAccessor1 = Buffer1.get_access<sycl::access::mode::read>();
+  const auto HostAccessor2 = Buffer2.get_access<sycl::access::mode::read>();
+
+  // Check the results.
+  for (size_t I = 0; I < Buffer1.size(); ++I) {
+    if (HostAccessor1[I] != I || HostAccessor2[I][0][0] != I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I << " , got: " << HostAccessor1[I]
+                << ", " << HostAccessor2[I][0][0] << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  return MismatchFound;
+}
+// CHECK:{{[0-9]+}}|Release buffer|[[USERID2]]|[[BEID2]]
+// CHECK:{{[0-9]+}}|Destruct buffer|[[USERID2]]
+// CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+// CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/multiple_queues.cpp b/sycl/test-e2e/XPTI/buffer/multiple_queues.cpp
new file mode 100644
index 0000000000000..d6fc5f10e419d
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/multiple_queues.cpp
@@ -0,0 +1,64 @@
+// REQUIRES: xptifw, opencl, (cpu || accelerator)
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  bool MismatchFound = false;
+
+  sycl::device Device{sycl::ext::oneapi::filter_selector{"cpu,accelerator"}};
+  auto Devices = Device.create_sub_devices<
+      sycl::info::partition_property::partition_equally>(2);
+
+  int Array[4] = {0};
+  {
+    sycl::queue Queue1{Devices[0]};
+    sycl::queue Queue2{Devices[1]};
+    sycl::range<1> NumOfWorkItems{4};
+    // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:0x[0-9,a-f,x]+]]|0x{{.*}}|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}multiple_queues.cpp:[[# @LINE + 1]]:26
+    sycl::buffer<int, 1> Buffer1(Array, NumOfWorkItems);
+
+    Queue1.submit([&](sycl::handler &cgh) {
+      // CHECK: {{[0-9]+}}|Construct accessor|[[USERID1]]|[[ACCID1:.*]]|2014|1025|{{.*}}multiple_queues.cpp:[[# @LINE + 1]]:24
+      auto Accessor1 = Buffer1.get_access<sycl::access::mode::write>(cgh);
+      // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+      cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+        Accessor1[WIid] = static_cast<int>(WIid.get(0));
+      });
+    });
+    Queue1.wait();
+
+    Queue2.submit([&](sycl::handler &cgh) {
+      // CHECK: {{[0-9]+}}|Construct accessor|[[USERID1]]|[[ACCID2:.*]]|2014|1025|{{.*}}multiple_queues.cpp:[[# @LINE + 1]]:24
+      auto Accessor1 = Buffer1.get_access<sycl::access::mode::write>(cgh);
+      // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID2:.*]]
+      cgh.parallel_for<class MulBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+        Accessor1[WIid] *= static_cast<int>(WIid.get(0));
+      });
+    });
+  }
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID2]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+
+  // Check the results.
+  for (size_t I = 0; I < 4; ++I) {
+    if (Array[I] != I * I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I * I << " , got: " << Array[I]
+                << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  return MismatchFound;
+}
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/recursion.cpp b/sycl/test-e2e/XPTI/buffer/recursion.cpp
new file mode 100644
index 0000000000000..df280358e3d88
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/recursion.cpp
@@ -0,0 +1,73 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+// It looks like order of events diffres on Windows
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+#include <iostream>
+#include <sycl/sycl.hpp>
+bool func(sycl::queue &Queue, int depth = 0) {
+  bool MismatchFound = false;
+  // Create a buffer of 4 ints to be used inside the kernel code.
+  sycl::buffer<int, 1> Buffer(4);
+
+  // Size of index space for kernel.
+  sycl::range<1> NumOfWorkItems{Buffer.size()};
+
+  // Submit command group(work) to queue.
+  Queue.submit([&](sycl::handler &cgh) {
+    // Get write only access to the buffer on a device.
+    auto Accessor = Buffer.get_access<sycl::access::mode::write>(cgh);
+    // Execute kernel.
+    cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+      Accessor[WIid] = static_cast<int>(WIid.get(0));
+    });
+  });
+
+  // Get read only access to the buffer on the host.
+  // This introduces an implicit barrier which blocks execution until the
+  // command group above completes.
+  const auto HostAccessor = Buffer.get_access<sycl::access::mode::read>();
+
+  // Check the results.
+  for (size_t I = 0; I < Buffer.size(); ++I) {
+    if (HostAccessor[I] != I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I << " , got: " << HostAccessor[I]
+                << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  if (depth > 0)
+    MismatchFound &= func(Queue, depth - 1);
+  return MismatchFound;
+}
+int main() {
+  bool MismatchFound = false;
+  // Create a SYCL queue.
+  sycl::queue Queue{};
+
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:0x[0-9,a-f,x]+]]|0x0|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}recursion.cpp:17:24
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID2:0x[0-9,a-f,x]+]]|0x0|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}recursion.cpp:17:24
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID2]]|[[BEID2:.*]]
+  // CHECK:{{[0-9]+}}|Create buffer|[[USERID3:0x[0-9,a-f,x]+]]|0x0|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}recursion.cpp:17:24
+  // CHECK:{{[0-9]+}}|Associate buffer|[[USERID3]]|[[BEID3:.*]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID3]]|[[BEID3]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID3]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID2]]|[[BEID2]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID2]]
+  // CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+  // CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+  MismatchFound &= func(Queue, 2);
+
+  return MismatchFound;
+}
+
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/sub_buffer.cpp b/sycl/test-e2e/XPTI/buffer/sub_buffer.cpp
new file mode 100644
index 0000000000000..fede1d3d94e96
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/sub_buffer.cpp
@@ -0,0 +1,53 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+int main() {
+  bool MismatchFound = false;
+  sycl::queue Queue{};
+
+  {
+    sycl::range<1> NumOfWorkItems{128};
+    // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:0x[0-9,a-f,x]+]]|0x0|{{i(nt)*}}|4|1|{128,0,0}|{{.*}}sub_buffer.cpp:[[# @LINE + 1]]:26
+    sycl::buffer<int, 1> Buffer1(NumOfWorkItems);
+    // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:0x[0-9,a-f,x]+]]|[[USERID1]]|{{i(nt)*}}|4|1|{32,0,0}|{{.*}}sub_buffer.cpp:[[# @LINE + 1]]:26
+    sycl::buffer<int, 1> SubBuffer{Buffer1, sycl::range<1>{32},
+                                   sycl::range<1>{32}};
+
+    Queue.submit([&](sycl::handler &cgh) {
+      // CHECK: {{[0-9]+}}|Construct accessor|[[USERID1]]|[[ACCID1:.*]]|2014|1025|{{.*}}sub_buffer.cpp:[[# @LINE + 1]]:24
+      auto Accessor1 = SubBuffer.get_access<sycl::access::mode::write>(cgh);
+      // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+      // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID2:.*]]
+      cgh.parallel_for<class FillBuffer>(
+          sycl::range<1>{32}, [=](sycl::id<1> WIid) {
+            Accessor1[WIid] = static_cast<int>(WIid.get(0));
+          });
+    });
+    // CHECK: {{[0-9]+}}|Construct accessor|[[USERID1]]|[[ACCID2:.*]]|2018|1024|{{.*}}sub_buffer.cpp:[[# @LINE + 1]]:22
+    auto Accessor1 = Buffer1.get_access<sycl::access::mode::read>();
+    for (size_t I = 32; I < 64; ++I) {
+      if (Accessor1[I] != I - 32) {
+        std::cout << "The result is incorrect for element: " << I
+                  << " , expected: " << I - 32 << " , got: " << Accessor1[I]
+                  << std::endl;
+        MismatchFound = true;
+      }
+    }
+  }
+
+  return MismatchFound;
+}
+// CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+// CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID2]]
+// CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+#endif
diff --git a/sycl/test-e2e/XPTI/buffer/use_host_ptr.cpp b/sycl/test-e2e/XPTI/buffer/use_host_ptr.cpp
new file mode 100644
index 0000000000000..fd56edd6166bc
--- /dev/null
+++ b/sycl/test-e2e/XPTI/buffer/use_host_ptr.cpp
@@ -0,0 +1,49 @@
+// REQUIRES: xptifw, opencl
+// RUN: %clangxx %s -DXPTI_COLLECTOR -DXPTI_CALLBACK_API_EXPORTS %xptifw_lib %shared_lib %fPIC %cxx_std_optionc++17 -o %t_collector.dll
+// RUN: %clangxx -fsycl %s -o %t.out
+// RUN: env XPTI_TRACE_ENABLE=1 XPTI_FRAMEWORK_DISPATCHER=%xptifw_dispatcher XPTI_SUBSCRIBERS=%t_collector.dll %BE_RUN_PLACEHOLDER %t.out | FileCheck %s 2>&1
+
+#ifdef XPTI_COLLECTOR
+
+#include "../Inputs/buffer_info_collector.cpp"
+
+#else
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+int main() {
+  bool MismatchFound = false;
+  sycl::queue Queue{};
+
+  int Array[4];
+  {
+    sycl::range<1> NumOfWorkItems{4};
+    // CHECK:{{[0-9]+}}|Create buffer|[[USERID1:0x[0-9,a-f,x]+]]|0x{{.*}}|{{i(nt)*}}|4|1|{4,0,0}|{{.*}}use_host_ptr.cpp:[[# @LINE + 1]]:26
+    sycl::buffer<int, 1> Buffer1(Array, NumOfWorkItems,
+                                 {sycl::property::buffer::use_host_ptr()});
+
+    // CHECK:{{[0-9]+}}|Associate buffer|[[USERID1]]|[[BEID1:.*]]
+    Queue.submit([&](sycl::handler &cgh) {
+      // Get write only access to the buffer on a device.
+      auto Accessor1 = Buffer1.get_access<sycl::access::mode::write>(cgh);
+      // Execute kernel.
+      cgh.parallel_for<class FillBuffer>(NumOfWorkItems, [=](sycl::id<1> WIid) {
+        Accessor1[WIid] = static_cast<int>(WIid.get(0));
+      });
+    });
+  }
+
+  // Check the results.
+  for (size_t I = 0; I < 4; ++I) {
+    if (Array[I] != I) {
+      std::cout << "The result is incorrect for element: " << I
+                << " , expected: " << I << " , got: " << Array[I] << std::endl;
+      MismatchFound = true;
+    }
+  }
+
+  return MismatchFound;
+}
+// CHECK:{{[0-9]+}}|Release buffer|[[USERID1]]|[[BEID1]]
+// CHECK:{{[0-9]+}}|Destruct buffer|[[USERID1]]
+#endif