8273681: Add Vector API vs Arrays.mismatch intrinsic benchmark

Reviewed-by: psandoz

Author: amCap1712

test/micro/org/openjdk/bench/jdk/incubator/vector/ArrayMismatchBenchmark.java

@@ -0,0 +1,229 @@
+/*
+ *  Copyright (c) 2021, Oracle and/or its affiliates. All rights reserved.
+ *  DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ *  This code is free software; you can redistribute it and/or modify it
+ *  under the terms of the GNU General Public License version 2 only, as
+ *  published by the Free Software Foundation.
+ *
+ *  This code is distributed in the hope that it will be useful, but WITHOUT
+ *  ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ *  FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ *  version 2 for more details (a copy is included in the LICENSE file that
+ *  accompanied this code).
+ *
+ *  You should have received a copy of the GNU General Public License version
+ *  2 along with this work; if not, write to the Free Software Foundation,
+ *  Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ *  Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ *  or visit www.oracle.com if you need additional information or have any
+ *  questions.
+ *
+ */
+
+package org.openjdk.bench.jdk.incubator.vector;
+
+
+import jdk.incubator.vector.ByteVector;
+import jdk.incubator.vector.DoubleVector;
+import jdk.incubator.vector.IntVector;
+import jdk.incubator.vector.LongVector;
+import jdk.incubator.vector.VectorMask;
+import jdk.incubator.vector.VectorOperators;
+import jdk.incubator.vector.VectorSpecies;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.OutputTimeUnit;
+import org.openjdk.jmh.annotations.Param;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.infra.BenchmarkParams;
+
+import java.util.Arrays;
+import java.util.concurrent.TimeUnit;
+import java.util.random.RandomGenerator;
+
+@OutputTimeUnit(TimeUnit.MILLISECONDS)
+@State(Scope.Thread)
+@Fork(jvmArgsPrepend = {"--add-modules=jdk.incubator.vector"})
+public class ArrayMismatchBenchmark {
+
+    @Param({"9", "257", "100000"})
+    int size;
+
+    @Param({"0.5", "1.0"})
+    double prefix;
+
+    byte[] byteData1;
+    byte[] byteData2;
+
+    int[] intData1;
+    int[] intData2;
+
+    long[] longData1;
+    long[] longData2;
+
+    double[] doubleData1;
+    double[] doubleData2;
+
+    static final VectorSpecies<Byte> BYTE_SPECIES_PREFERRED = ByteVector.SPECIES_PREFERRED;
+    static final VectorSpecies<Integer> INT_SPECIES_PREFERRED = IntVector.SPECIES_PREFERRED;
+    static final VectorSpecies<Double> FLOAT_SPECIES_PREFERRED = DoubleVector.SPECIES_PREFERRED;
+    static final VectorSpecies<Long> LONG_SPECIES_PREFERRED = LongVector.SPECIES_PREFERRED;
+
+    @Setup
+    public void setup(BenchmarkParams params) {
+        RandomGenerator random = RandomGenerator.getDefault();
+        int common = (int) (prefix * size);
+
+        if (params.getBenchmark().endsWith("Byte")) {
+            byteData1 = new byte[size];
+            byteData2 = new byte[size];
+            random.nextBytes(byteData1);
+            random.nextBytes(byteData2);
+
+            byte[] commonBytes = new byte[common];
+            random.nextBytes(commonBytes);
+
+            System.arraycopy(commonBytes, 0, byteData1, 0, common);
+            System.arraycopy(commonBytes, 0, byteData2, 0, common);
+        } else if (params.getBenchmark().endsWith("Int")) {
+            intData1 = random.ints(size).toArray();
+            intData2 = random.ints(size).toArray();
+
+            int[] commonInts = random.ints(common).toArray();
+            System.arraycopy(commonInts, 0, intData1, 0, common);
+            System.arraycopy(commonInts, 0, intData2, 0, common);
+        } else if (params.getBenchmark().endsWith("Double")) {
+            doubleData1 = random.doubles(size).toArray();
+            doubleData2 = random.doubles(size).toArray();
+
+            double[] commonDoubles = random.doubles(common).toArray();
+            System.arraycopy(commonDoubles, 0, doubleData1, 0, common);
+            System.arraycopy(commonDoubles, 0, doubleData2, 0, common);
+        } else if (params.getBenchmark().endsWith("Long")) {
+            longData1 = random.longs(size).toArray();
+            longData2 = random.longs(size).toArray();
+
+            long[] commonLongs = random.longs(common).toArray();
+            System.arraycopy(commonLongs, 0, longData1, 0, common);
+            System.arraycopy(commonLongs, 0, longData2, 0, common);
+        }
+    }
+
+    @Benchmark
+    public int mismatchIntrinsicByte() {
+        return Arrays.mismatch(byteData1, byteData2);
+    }
+
+    @Benchmark
+    public int mismatchVectorByte() {
+        int length = Math.min(byteData1.length, byteData2.length);
+        int index = 0;
+        for (; index < BYTE_SPECIES_PREFERRED.loopBound(length); index += BYTE_SPECIES_PREFERRED.length()) {
+            ByteVector vector1 = ByteVector.fromArray(BYTE_SPECIES_PREFERRED, byteData1, index);
+            ByteVector vector2 = ByteVector.fromArray(BYTE_SPECIES_PREFERRED, byteData2, index);
+            VectorMask<Byte> mask = vector1.compare(VectorOperators.NE, vector2);
+            if (mask.anyTrue()) {
+                return index + mask.firstTrue();
+            }
+        }
+        // process the tail
+        int mismatch = -1;
+        for (int i = index; i < length; ++i) {
+            if (byteData1[i] != byteData2[i]) {
+                mismatch = i;
+                break;
+            }
+        }
+        return mismatch;
+    }
+
+    @Benchmark
+    public int mismatchIntrinsicInt() {
+        return Arrays.mismatch(intData1, intData2);
+    }
+
+    @Benchmark
+    public int mismatchVectorInt() {
+        int length = Math.min(intData1.length, intData2.length);
+        int index = 0;
+        for (; index < INT_SPECIES_PREFERRED.loopBound(length); index += INT_SPECIES_PREFERRED.length()) {
+            IntVector vector1 = IntVector.fromArray(INT_SPECIES_PREFERRED, intData1, index);
+            IntVector vector2 = IntVector.fromArray(INT_SPECIES_PREFERRED, intData2, index);
+            VectorMask<Integer> mask = vector1.compare(VectorOperators.NE, vector2);
+            if (mask.anyTrue()) {
+                return index + mask.firstTrue();
+            }
+        }
+        // process the tail
+        int mismatch = -1;
+        for (int i = index; i < length; ++i) {
+            if (intData1[i] != intData2[i]) {
+                mismatch = i;
+                break;
+            }
+        }
+        return mismatch;
+    }
+
+    @Benchmark
+    public int mismatchIntrinsicDouble() {
+        return Arrays.mismatch(doubleData1, doubleData2);
+    }
+
+    @Benchmark
+    public int mismatchVectorDouble() {
+        int length = Math.min(doubleData1.length, doubleData2.length);
+        int index = 0;
+        for (; index < FLOAT_SPECIES_PREFERRED.loopBound(length); index += FLOAT_SPECIES_PREFERRED.length()) {
+            DoubleVector vector1 = DoubleVector.fromArray(FLOAT_SPECIES_PREFERRED, doubleData1, index);
+            DoubleVector vector2 = DoubleVector.fromArray(FLOAT_SPECIES_PREFERRED, doubleData2, index);
+            VectorMask<Double> mask = vector1.compare(VectorOperators.NE, vector2);
+            if (mask.anyTrue()) {
+                return index + mask.firstTrue();
+            }
+        }
+        // process the tail
+        int mismatch = -1;
+        for (int i = index; i < length; ++i) {
+            if (doubleData1[i] != doubleData2[i]) {
+                mismatch = i;
+                break;
+            }
+        }
+        return mismatch;
+    }
+
+    @Benchmark
+    public int mismatchIntrinsicLong() {
+        return Arrays.mismatch(longData1, longData2);
+    }
+
+    @Benchmark
+    public int mismatchVectorLong() {
+        int length = Math.min(longData1.length, longData2.length);
+        int index = 0;
+        for (; index < LONG_SPECIES_PREFERRED.loopBound(length); index += LONG_SPECIES_PREFERRED.length()) {
+            LongVector vector1 = LongVector.fromArray(LONG_SPECIES_PREFERRED, longData1, index);
+            LongVector vector2 = LongVector.fromArray(LONG_SPECIES_PREFERRED, longData2, index);
+            VectorMask<Long> mask = vector1.compare(VectorOperators.NE, vector2);
+            if (mask.anyTrue()) {
+                return index + mask.firstTrue();
+            }
+        }
+        // process the tail
+        int mismatch = -1;
+        for (int i = index; i < length; ++i) {
+            if (longData1[i] != longData2[i]) {
+                mismatch = i;
+                break;
+            }
+        }
+        return mismatch;
+    }
+
+}
+