/* * Copyright (c) 2022, 2023, Arm Limited. All rights reserved. * Copyright (c) 2023, 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. */ /* * @test * @summary Vectorization test on basic long 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.BasicLongOpTest * * @requires (os.simpleArch == "x64") | (os.simpleArch == "aarch64") * @requires vm.compiler2.enabled & vm.flagless */ package compiler.vectorization.runner; import compiler.lib.ir_framework.*; public class BasicLongOpTest extends VectorizationTestRunner { private static final int SIZE = 543; private long[] a; private long[] b; private long[] c; public BasicLongOpTest() { a = new long[SIZE]; b = new long[SIZE]; c = new long[SIZE]; for (int i = 0; i < SIZE; i++) { a[i] = -123456789L * i; b[i] = 66666666L * i + 8888888888888888888L; c[i] = -987654321098765L; } } // ---------------- Arithmetic ---------------- @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.SUB_V, ">0"}) public long[] vectorNeg() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = -a[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "avx512vl", "true"}, counts = {IRNode.ABS_V, ">0"}) public long[] vectorAbs() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = Math.abs(a[i]); } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.ADD_V, ">0"}) public long[] vectorAdd() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] + b[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.SUB_V, ">0"}) public long[] vectorSub() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] - b[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"sve", "true", "avx512dq", "true"}, counts = {IRNode.MUL_V, ">0"}) public long[] vectorMul() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] * b[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"sve", "true", "sse4.1", "true"}, counts = {IRNode.ADD_V, ">0"}) @IR(applyIfCPUFeatureOr = {"sve", "true", "sse4.1", "true"}, counts = {IRNode.MUL_V, ">0"}) public long[] vectorMulAdd() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = c[i] + a[i] * b[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"sve", "true", "sse4.1", "true"}, counts = {IRNode.MUL_V, ">0", IRNode.SUB_V, ">0"}) public long[] vectorMulSub() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = c[i] - a[i] * b[i]; } return res; } // ---------------- Logic ---------------- @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.XOR_V, ">0"}) public long[] vectorNot() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = ~a[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.AND_V, ">0"}) public long[] vectorAnd() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] & b[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.OR_V, ">0"}) public long[] vectorOr() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] | b[i]; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.XOR_V, ">0"}) public long[] vectorXor() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] ^ b[i]; } return res; } // ---------------- Shift ---------------- @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.LSHIFT_V, ">0"}) public long[] vectorShiftLeft() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] << 3; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.RSHIFT_V, ">0"}) public long[] vectorSignedShiftRight() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] >> 2; } return res; } @Test @IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"}, counts = {IRNode.URSHIFT_V, ">0"}) public long[] vectorUnsignedShiftRight() { long[] res = new long[SIZE]; for (int i = 0; i < SIZE; i++) { res[i] = a[i] >>> 5; } return res; } // ---------------- Reduction ---------------- @Test public long reductionAdd() { long res = 0L; for (int i = 0; i < SIZE; i++) { res += a[i]; } return res; } @Test public long reductionAnd() { long res = 0xffffffffffffffffL; for (int i = 0; i < SIZE; i++) { res &= a[i]; } return res; } @Test public long reductionOr() { long res = 0L; for (int i = 0; i < SIZE; i++) { res |= a[i]; } return res; } @Test public long reductionXor() { long res = 0xf0f0f0f0f0f0f0f0L; for (int i = 0; i < SIZE; i++) { res ^= a[i]; } return res; } @Test // Note that long integer max produces non-vectorizable CMoveL node. @IR(failOn = {IRNode.STORE_VECTOR}) public long reductionMax() { long res = Long.MIN_VALUE; for (int i = 0; i < SIZE; i++) { res = Math.max(res, a[i]); } return res; } @Test // Note that long integer min produces non-vectorizable CMoveL node. @IR(failOn = {IRNode.STORE_VECTOR}) public long reductionMin() { long res = Long.MAX_VALUE; for (int i = 0; i < SIZE; i++) { res = Math.min(res, a[i]); } return res; } }