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