1/* 2 * Copyright (c) 2015, 2015, Oracle and/or its affiliates. All rights reserved. 3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. 4 * 5 * This code is free software; you can redistribute it and/or modify it 6 * under the terms of the GNU General Public License version 2 only, as 7 * published by the Free Software Foundation. 8 * 9 * This code is distributed in the hope that it will be useful, but WITHOUT 10 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 11 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License 12 * version 2 for more details (a copy is included in the LICENSE file that 13 * accompanied this code). 14 * 15 * You should have received a copy of the GNU General Public License version 16 * 2 along with this work; if not, write to the Free Software Foundation, 17 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. 18 * 19 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA 20 * or visit www.oracle.com if you need additional information or have any 21 * questions. 22 */ 23package micro.benchmarks; 24 25import java.util.Random; 26 27import org.openjdk.jmh.annotations.Benchmark; 28import org.openjdk.jmh.annotations.Scope; 29import org.openjdk.jmh.annotations.State; 30import org.openjdk.jmh.annotations.Warmup; 31 32import org.graalvm.compiler.microbenchmarks.graal.GraalBenchmark; 33 34/** 35 * Benchmarks cost of Math intrinsics. 36 */ 37public class MathFunctionBenchmark extends GraalBenchmark { 38 39 @State(Scope.Benchmark) 40 public static class ThreadState { 41 double[] data = randomDoubles(100); 42 double[] result = new double[100]; 43 44 static double[] randomDoubles(int len) { 45 double[] data = new double[len]; 46 Random r = new Random(); 47 for (int i = 0; i < data.length; i++) { 48 data[i] = r.nextDouble(); 49 } 50 return data; 51 } 52 } 53 54 @Benchmark 55 @Warmup(iterations = 5) 56 public void mathLog(ThreadState state) { 57 double[] data = state.data; 58 for (int i = 0; i < data.length; i++) { 59 double[] result = state.result; 60 result[i] = Math.log(data[i]); 61 } 62 } 63 64 @Benchmark 65 @Warmup(iterations = 5) 66 public void mathLog10(ThreadState state) { 67 double[] data = state.data; 68 for (int i = 0; i < data.length; i++) { 69 double[] result = state.result; 70 result[i] = Math.log10(data[i]); 71 } 72 } 73 74 @Benchmark 75 @Warmup(iterations = 5) 76 public void mathSin(ThreadState state) { 77 double[] data = state.data; 78 for (int i = 0; i < data.length; i++) { 79 double[] result = state.result; 80 result[i] = Math.sin(data[i]); 81 } 82 } 83 84 @Benchmark 85 @Warmup(iterations = 5) 86 public void mathCos(ThreadState state) { 87 double[] data = state.data; 88 for (int i = 0; i < data.length; i++) { 89 double[] result = state.result; 90 result[i] = Math.cos(data[i]); 91 } 92 } 93 94 @Benchmark 95 @Warmup(iterations = 5) 96 public void mathTan(ThreadState state) { 97 double[] data = state.data; 98 for (int i = 0; i < data.length; i++) { 99 double[] result = state.result; 100 result[i] = Math.tan(data[i]); 101 } 102 } 103} 104