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Kokkos_SYCL_ParallelReduce_Team.hpp
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Kokkos_SYCL_ParallelReduce_Team.hpp
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//@HEADER
// ************************************************************************
//
// Kokkos v. 4.0
// Copyright (2022) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Part of Kokkos, under the Apache License v2.0 with LLVM Exceptions.
// See https://kokkos.org/LICENSE for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//@HEADER
#ifndef KOKKOS_SYCL_PARALLEL_REDUCE_TEAM_HPP
#define KOKKOS_SYCL_PARALLEL_REDUCE_TEAM_HPP
#include <Kokkos_Parallel.hpp>
#include <SYCL/Kokkos_SYCL_Team.hpp>
#include <SYCL/Kokkos_SYCL_TeamPolicy.hpp>
#include <SYCL/Kokkos_SYCL_WorkgroupReduction.hpp>
#include <vector>
template <class CombinedFunctorReducerType, class... Properties>
class Kokkos::Impl::ParallelReduce<CombinedFunctorReducerType,
Kokkos::TeamPolicy<Properties...>,
Kokkos::Experimental::SYCL> {
public:
using Policy = TeamPolicyInternal<Kokkos::Experimental::SYCL, Properties...>;
using FunctorType = typename CombinedFunctorReducerType::functor_type;
using ReducerType = typename CombinedFunctorReducerType::reducer_type;
private:
using member_type = typename Policy::member_type;
using WorkTag = typename Policy::work_tag;
using launch_bounds = typename Policy::launch_bounds;
using pointer_type = typename ReducerType::pointer_type;
using reference_type = typename ReducerType::reference_type;
using value_type = typename ReducerType::value_type;
public:
using functor_type = FunctorType;
using size_type = Kokkos::Experimental::SYCL::size_type;
private:
const CombinedFunctorReducerType m_functor_reducer;
const Policy m_policy;
const pointer_type m_result_ptr;
const bool m_result_ptr_device_accessible;
size_type m_shmem_begin;
size_type m_shmem_size;
sycl_device_ptr<char> m_global_scratch_ptr;
size_t m_scratch_size[2];
const size_type m_league_size;
int m_team_size;
const size_type m_vector_size;
// Only let one ParallelReduce instance at a time use the team scratch memory
// and the host scratch memory. The constructor acquires the mutex which is
// released in the destructor.
std::scoped_lock<std::mutex> m_scratch_buffers_lock;
int m_scratch_pool_id = -1;
template <typename PolicyType, typename CombinedFunctorReducerWrapper>
sycl::event sycl_direct_launch(
const PolicyType& policy,
const CombinedFunctorReducerWrapper& functor_reducer_wrapper,
const sycl::event& memcpy_event) const {
// Convenience references
const Kokkos::Experimental::SYCL& space = policy.space();
Kokkos::Experimental::Impl::SYCLInternal& instance =
*space.impl_internal_space_instance();
sycl::queue& q = space.sycl_queue();
const unsigned int value_count =
m_functor_reducer.get_reducer().value_count();
std::size_t size = std::size_t(m_league_size) * m_team_size * m_vector_size;
value_type* results_ptr = nullptr;
auto host_result_ptr =
(m_result_ptr && !m_result_ptr_device_accessible)
? static_cast<sycl_host_ptr<value_type>>(
instance.scratch_host(sizeof(value_type) * value_count))
: nullptr;
sycl::event last_reduction_event;
desul::ensure_sycl_lock_arrays_on_device(q);
// If size<=1 we only call init(), the functor and possibly final once
// working with the global scratch memory but don't copy back to
// m_result_ptr yet.
if (size <= 1) {
results_ptr =
static_cast<sycl_device_ptr<value_type>>(instance.scratch_space(
sizeof(value_type) * std::max(value_count, 1u)));
auto device_accessible_result_ptr =
m_result_ptr_device_accessible
? static_cast<sycl::global_ptr<value_type>>(m_result_ptr)
: static_cast<sycl::global_ptr<value_type>>(host_result_ptr);
auto parallel_reduce_event = q.submit([&](sycl::handler& cgh) {
// FIXME_SYCL accessors seem to need a size greater than zero at least
// for host queues
sycl::local_accessor<char, 1> team_scratch_memory_L0(
sycl::range<1>(
std::max(m_scratch_size[0] + m_shmem_begin, size_t(1))),
cgh);
// Avoid capturing *this since it might not be trivially copyable
const auto shmem_begin = m_shmem_begin;
const size_t scratch_size[2] = {m_scratch_size[0], m_scratch_size[1]};
sycl_device_ptr<char> const global_scratch_ptr = m_global_scratch_ptr;
#ifndef KOKKOS_IMPL_SYCL_USE_IN_ORDER_QUEUES
cgh.depends_on(memcpy_event);
#else
(void)memcpy_event;
#endif
cgh.parallel_for(
sycl::nd_range<2>(sycl::range<2>(1, 1), sycl::range<2>(1, 1)),
[=](sycl::nd_item<2> item) {
const CombinedFunctorReducerType& functor_reducer =
functor_reducer_wrapper.get_functor();
const FunctorType& functor = functor_reducer.get_functor();
const ReducerType& reducer = functor_reducer.get_reducer();
reference_type update = reducer.init(results_ptr);
if (size == 1) {
const member_type team_member(
KOKKOS_IMPL_SYCL_GET_MULTI_PTR(team_scratch_memory_L0),
shmem_begin, scratch_size[0], global_scratch_ptr,
scratch_size[1], item, item.get_group_linear_id(),
item.get_group_range(1));
if constexpr (std::is_void_v<WorkTag>)
functor(team_member, update);
else
functor(WorkTag(), team_member, update);
}
reducer.final(results_ptr);
if (device_accessible_result_ptr)
reducer.copy(device_accessible_result_ptr, &results_ptr[0]);
});
});
#ifndef KOKKOS_IMPL_SYCL_USE_IN_ORDER_QUEUES
q.ext_oneapi_submit_barrier(
std::vector<sycl::event>{parallel_reduce_event});
#endif
last_reduction_event = parallel_reduce_event;
} else {
// Otherwise, (if the total range has more than one element) we perform a
// reduction on the values in all workgroups separately, write the
// workgroup results back to global memory and recurse until only one
// workgroup does the reduction and thus gets the final value.
auto parallel_reduce_event = q.submit([&](sycl::handler& cgh) {
auto scratch_flags = static_cast<sycl_device_ptr<unsigned int>>(
instance.scratch_flags(sizeof(unsigned int)));
// FIXME_SYCL accessors seem to need a size greater than zero at least
// for host queues
sycl::local_accessor<char, 1> team_scratch_memory_L0(
sycl::range<1>(
std::max(m_scratch_size[0] + m_shmem_begin, size_t(1))),
cgh);
// Avoid capturing *this since it might not be trivially copyable
const auto shmem_begin = m_shmem_begin;
const auto league_size = m_league_size;
const size_t scratch_size[2] = {m_scratch_size[0], m_scratch_size[1]};
sycl_device_ptr<char> const global_scratch_ptr = m_global_scratch_ptr;
sycl::local_accessor<unsigned int> num_teams_done(1, cgh);
auto team_reduction_factory =
[&](sycl::local_accessor<value_type, 1> local_mem,
sycl_device_ptr<value_type> results_ptr) {
auto device_accessible_result_ptr =
m_result_ptr_device_accessible
? static_cast<sycl::global_ptr<value_type>>(m_result_ptr)
: static_cast<sycl::global_ptr<value_type>>(
host_result_ptr);
auto lambda = [=](sycl::nd_item<2> item) {
auto n_wgroups = item.get_group_range()[1];
int wgroup_size =
item.get_local_range()[0] * item.get_local_range()[1];
auto group_id = item.get_group_linear_id();
auto size = n_wgroups * wgroup_size;
const auto local_id = item.get_local_linear_id();
const CombinedFunctorReducerType& functor_reducer =
functor_reducer_wrapper.get_functor();
const FunctorType& functor = functor_reducer.get_functor();
const ReducerType& reducer = functor_reducer.get_reducer();
if constexpr (!SYCLReduction::use_shuffle_based_algorithm<
ReducerType>) {
reference_type update =
reducer.init(&local_mem[local_id * value_count]);
for (int league_rank = group_id; league_rank < league_size;
league_rank += n_wgroups) {
const member_type team_member(
KOKKOS_IMPL_SYCL_GET_MULTI_PTR(team_scratch_memory_L0),
shmem_begin, scratch_size[0],
global_scratch_ptr +
item.get_group(1) * scratch_size[1],
scratch_size[1], item, league_rank, league_size);
if constexpr (std::is_void_v<WorkTag>)
functor(team_member, update);
else
functor(WorkTag(), team_member, update);
}
item.barrier(sycl::access::fence_space::local_space);
SYCLReduction::workgroup_reduction<>(
item, local_mem, results_ptr,
device_accessible_result_ptr, value_count, reducer, false,
std::min<std::size_t>(size,
item.get_local_range()[0] *
item.get_local_range()[1]));
if (local_id == 0) {
sycl::atomic_ref<unsigned, sycl::memory_order::acq_rel,
sycl::memory_scope::device,
sycl::access::address_space::global_space>
scratch_flags_ref(*scratch_flags);
num_teams_done[0] = ++scratch_flags_ref;
}
sycl::group_barrier(item.get_group());
if (num_teams_done[0] == n_wgroups) {
if (local_id == 0) *scratch_flags = 0;
if (local_id >= n_wgroups)
reducer.init(&local_mem[local_id * value_count]);
else {
reducer.copy(&local_mem[local_id * value_count],
&results_ptr[local_id * value_count]);
for (unsigned int id = local_id + wgroup_size;
id < n_wgroups; id += wgroup_size) {
reducer.join(&local_mem[local_id * value_count],
&results_ptr[id * value_count]);
}
}
SYCLReduction::workgroup_reduction<>(
item, local_mem, results_ptr,
device_accessible_result_ptr, value_count, reducer,
true,
std::min(n_wgroups, item.get_local_range()[0] *
item.get_local_range()[1]));
}
} else {
value_type local_value;
reference_type update = reducer.init(&local_value);
for (int league_rank = group_id; league_rank < league_size;
league_rank += n_wgroups) {
const member_type team_member(
KOKKOS_IMPL_SYCL_GET_MULTI_PTR(team_scratch_memory_L0),
shmem_begin, scratch_size[0],
global_scratch_ptr +
item.get_group(1) * scratch_size[1],
scratch_size[1], item, league_rank, league_size);
if constexpr (std::is_void_v<WorkTag>)
functor(team_member, update);
else
functor(WorkTag(), team_member, update);
}
SYCLReduction::workgroup_reduction<>(
item, local_mem, local_value, results_ptr,
device_accessible_result_ptr, reducer, false,
std::min<std::size_t>(size,
item.get_local_range()[0] *
item.get_local_range()[1]));
if (local_id == 0) {
sycl::atomic_ref<unsigned, sycl::memory_order::acq_rel,
sycl::memory_scope::device,
sycl::access::address_space::global_space>
scratch_flags_ref(*scratch_flags);
num_teams_done[0] = ++scratch_flags_ref;
}
item.barrier(sycl::access::fence_space::local_space);
if (num_teams_done[0] == n_wgroups) {
if (local_id == 0) *scratch_flags = 0;
if (local_id >= n_wgroups)
reducer.init(&local_value);
else {
local_value = results_ptr[local_id];
for (unsigned int id = local_id + wgroup_size;
id < n_wgroups; id += wgroup_size) {
reducer.join(&local_value, &results_ptr[id]);
}
}
SYCLReduction::workgroup_reduction<>(
item, local_mem, local_value, results_ptr,
device_accessible_result_ptr, reducer, true,
std::min(n_wgroups, item.get_local_range()[0] *
item.get_local_range()[1]));
}
}
};
return lambda;
};
auto dummy_reduction_lambda = team_reduction_factory({1, cgh}, nullptr);
static sycl::kernel kernel = [&] {
sycl::kernel_id functor_kernel_id =
sycl::get_kernel_id<decltype(dummy_reduction_lambda)>();
auto kernel_bundle =
sycl::get_kernel_bundle<sycl::bundle_state::executable>(
q.get_context(), std::vector{functor_kernel_id});
return kernel_bundle.get_kernel(functor_kernel_id);
}();
auto max_sg_size = kernel.get_info<
sycl::info::kernel_device_specific::max_sub_group_size>(
q.get_device());
auto final_vector_size = std::min<int>(m_vector_size, max_sg_size);
// FIXME_SYCL For some reason, explicitly enforcing the kernel bundle to
// be used gives a runtime error.
// cgh.use_kernel_bundle(kernel_bundle);
auto wgroup_size = m_team_size * final_vector_size;
std::size_t size = std::size_t(m_league_size) * wgroup_size;
sycl::local_accessor<value_type, 1> local_mem(
sycl::range<1>(wgroup_size) * std::max(value_count, 1u), cgh);
const auto init_size =
std::max<std::size_t>((size + wgroup_size - 1) / wgroup_size, 1);
results_ptr =
static_cast<sycl_device_ptr<value_type>>(instance.scratch_space(
sizeof(value_type) * std::max(value_count, 1u) * init_size));
size_t max_work_groups =
2 *
q.get_device().get_info<sycl::info::device::max_compute_units>();
int values_per_thread = 1;
size_t n_wgroups = m_league_size;
while (n_wgroups > max_work_groups) {
values_per_thread *= 2;
n_wgroups =
((size_t(m_league_size) * wgroup_size + values_per_thread - 1) /
values_per_thread +
wgroup_size - 1) /
wgroup_size;
}
auto reduction_lambda = team_reduction_factory(local_mem, results_ptr);
#ifndef KOKKOS_IMPL_SYCL_USE_IN_ORDER_QUEUES
cgh.depends_on(memcpy_event);
#endif
cgh.parallel_for(
sycl::nd_range<2>(
sycl::range<2>(m_team_size, n_wgroups * m_vector_size),
sycl::range<2>(m_team_size, m_vector_size)),
reduction_lambda);
});
#ifndef KOKKOS_IMPL_SYCL_USE_IN_ORDER_QUEUES
q.ext_oneapi_submit_barrier(
std::vector<sycl::event>{parallel_reduce_event});
#endif
last_reduction_event = parallel_reduce_event;
}
// At this point, the reduced value is written to the entry in results_ptr
// and all that is left is to copy it back to the given result pointer if
// necessary.
// Using DeepCopy instead of fence+memcpy turned out to be up to 2x slower.
if (host_result_ptr) {
space.fence(
"Kokkos::Impl::ParallelReduce<SYCL, TeamPolicy>::execute: result not "
"device-accessible");
std::memcpy(m_result_ptr, host_result_ptr,
sizeof(*m_result_ptr) * value_count);
}
return last_reduction_event;
}
public:
inline void execute() {
Kokkos::Experimental::Impl::SYCLInternal& instance =
*m_policy.space().impl_internal_space_instance();
using IndirectKernelMem =
Kokkos::Experimental::Impl::SYCLInternal::IndirectKernelMem;
IndirectKernelMem& indirectKernelMem = instance.get_indirect_kernel_mem();
auto functor_reducer_wrapper =
Experimental::Impl::make_sycl_function_wrapper(m_functor_reducer,
indirectKernelMem);
sycl::event event =
sycl_direct_launch(m_policy, functor_reducer_wrapper,
functor_reducer_wrapper.get_copy_event());
functor_reducer_wrapper.register_event(event);
instance.register_team_scratch_event(m_scratch_pool_id, event);
}
private:
void initialize() {
// FIXME_SYCL optimize
if (m_team_size < 0)
m_team_size = m_policy.team_size_recommended(
m_functor_reducer.get_functor(), m_functor_reducer.get_reducer(),
ParallelReduceTag{});
// Must be a power of two greater than two, get the one not bigger than the
// requested one.
if ((m_team_size & m_team_size - 1) || m_team_size < 2) {
int temp_team_size = 2;
while ((temp_team_size << 1) < m_team_size) temp_team_size <<= 1;
m_team_size = temp_team_size;
}
m_shmem_begin = (sizeof(double) * (m_team_size + 2));
m_shmem_size = (m_policy.scratch_size(0, m_team_size) +
FunctorTeamShmemSize<FunctorType>::value(
m_functor_reducer.get_functor(), m_team_size));
m_scratch_size[0] = m_shmem_size;
m_scratch_size[1] = m_policy.scratch_size(1, m_team_size);
// Functor's reduce memory, team scan memory, and team shared memory depend
// upon team size.
auto& space = *m_policy.space().impl_internal_space_instance();
m_scratch_pool_id = space.acquire_team_scratch_space();
m_global_scratch_ptr =
static_cast<sycl_device_ptr<char>>(space.resize_team_scratch_space(
m_scratch_pool_id,
static_cast<ptrdiff_t>(m_scratch_size[1]) * m_league_size));
if (static_cast<int>(space.m_maxShmemPerBlock) <
m_shmem_size - m_shmem_begin) {
std::stringstream out;
out << "Kokkos::Impl::ParallelFor<SYCL> insufficient shared memory! "
"Requested "
<< m_shmem_size - m_shmem_begin << " bytes but maximum is "
<< space.m_maxShmemPerBlock << '\n';
Kokkos::Impl::throw_runtime_exception(out.str());
}
if (m_team_size > m_policy.team_size_max(m_functor_reducer.get_functor(),
m_functor_reducer.get_reducer(),
ParallelReduceTag{}))
Kokkos::Impl::throw_runtime_exception(
"Kokkos::Impl::ParallelFor<SYCL> requested too large team size.");
}
public:
template <class ViewType>
ParallelReduce(CombinedFunctorReducerType const& arg_functor_reducer,
Policy const& arg_policy, ViewType const& arg_result)
: m_functor_reducer(arg_functor_reducer),
m_policy(arg_policy),
m_result_ptr(arg_result.data()),
m_result_ptr_device_accessible(
MemorySpaceAccess<Kokkos::Experimental::SYCLDeviceUSMSpace,
typename ViewType::memory_space>::accessible),
m_league_size(arg_policy.league_size()),
m_team_size(arg_policy.team_size()),
m_vector_size(arg_policy.impl_vector_length()),
m_scratch_buffers_lock(arg_policy.space()
.impl_internal_space_instance()
->m_team_scratch_mutex) {
initialize();
}
};
#endif