/* * Copyright (c) 2022, Arm Limited. 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. */ /* * @test * @summary Vectorization test on reduction operations * @library /test/lib / * * @build jdk.test.whitebox.WhiteBox * compiler.vectorization.runner.VectorizationTestRunner * * @run driver jdk.test.lib.helpers.ClassFileInstaller jdk.test.whitebox.WhiteBox * @run main/othervm -Xbootclasspath/a:. * -XX:+UnlockDiagnosticVMOptions * -XX:+WhiteBoxAPI * compiler.vectorization.runner.LoopReductionOpTest * * @requires vm.compiler2.enabled & vm.flagless */ package compiler.vectorization.runner; import java.util.Random; public class LoopReductionOpTest extends VectorizationTestRunner { private static final int SIZE = 2345; private int[] a; private int[] b; private int[] c; private double[] d; private float[] f; private long[] l; private int intInv; public LoopReductionOpTest() { a = new int[SIZE]; b = new int[SIZE]; c = new int[SIZE]; d = new double[SIZE]; f = new float[SIZE]; l = new long[SIZE]; for (int i = 0; i < SIZE; i++) { a[i] = -531 * i; b[i] = 2222 * i + 8; c[i] = 2147480000; d[i] = i * 2.5; f[i] = i * -(333.3f); l[i] = 444444444L * i; } Random ran = new Random(10001); intInv = ran.nextInt(); } @Test public int reductionAddSumOfArray() { int res = 0; for (int i = 0; i < SIZE; i++) { res += (a[i] + b[i]); } return res; } @Test public int reductionAddIndex() { int res = 0; for (int i = 0; i < SIZE; i++) { res += i; } return res; } @Test // Note that adding constant in loop would be directly optimized to // scalar operations, hence this case is not vectorized. public int reductionAddConstant() { int res = 0; for (int i = 0; i < SIZE; i++) { res += 222; } return res; } @Test public int reductionAddLoopInv() { int res = 0; for (int i = 0; i < SIZE; i++) { res += intInv; } return res; } @Test public int reductionAddSumOfMultiple() { int res = 0; for (int i = 0; i < SIZE; i++) { res += (a[i] + b[i]) * i << 2; } return res; } @Test public int twoReductions() { int res1 = 0; int res2 = 0; for (int i = 0; i < SIZE; i++) { res1 += a[i]; res2 += b[i]; } return res1 * res2; } @Test public float twoReductionsSameElementSize() { int res1 = 0; float res2 = 0.0f; for (int i = 0; i < SIZE; i++) { res1 += a[i]; res2 += f[i]; } return res1 * res2; } @Test public double twoReductionsDifferentSizes1() { int res1 = 0; double res2 = 0.0; for (int i = 0; i < SIZE; i++) { res1 += a[i]; res2 += d[i]; } return res1 * res2; } @Test public double twoReductionsDifferentSizes2() { long res1 = 0L; float res2 = 0.0f; for (int i = 0; i < SIZE; i++) { res1 += l[i]; res2 += f[i]; } return res1 * res2; } @Test public long reductionWithNonReductionDifferentSizes() { long res = 0L; int[] arr = new int[SIZE]; for (int i = 0; i < SIZE; i++) { arr[i] = a[i] + b[i]; res += l[i]; } return res; } @Test public long reductionLoopIndexSumDifferentSizes() { int intSum = 0; long longSum = 0L; for (int i = 0; i < SIZE; i++) { intSum += i; longSum += i; } return intSum + 2 * longSum; } }