| /* |
| * Copyright (c) 2019, 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.vm.compiler; |
| |
| import org.openjdk.jmh.annotations.*; |
| import org.openjdk.jmh.infra.*; |
| |
| import java.util.concurrent.TimeUnit; |
| import java.util.Random; |
| |
| @BenchmarkMode(Mode.AverageTime) |
| @OutputTimeUnit(TimeUnit.NANOSECONDS) |
| @State(Scope.Thread) |
| public class FpMinMaxIntrinsics { |
| private static final int COUNT = 1000; |
| |
| private double[] doubles = new double[COUNT]; |
| private float[] floats = new float[COUNT]; |
| |
| private int c1, c2, s1, s2; |
| |
| private Random r = new Random(); |
| |
| @Setup |
| public void init() { |
| c1 = s1 = step(); |
| c2 = COUNT - (s2 = step()); |
| |
| for (int i=0; i<COUNT; i++) { |
| floats[i] = r.nextFloat(); |
| doubles[i] = r.nextDouble(); |
| } |
| } |
| |
| private int step() { |
| return (r.nextInt() & 0xf) + 1; |
| } |
| |
| @Benchmark |
| public void dMax(Blackhole bh) { |
| for (int i=0; i<COUNT; i++) |
| bh.consume(dMaxBench()); |
| } |
| |
| @Benchmark |
| public void dMin(Blackhole bh) { |
| for (int i=0; i<COUNT; i++) |
| bh.consume(dMinBench()); |
| } |
| |
| @Benchmark |
| public void fMax(Blackhole bh) { |
| for (int i=0; i<COUNT; i++) |
| bh.consume(fMaxBench()); |
| } |
| |
| @Benchmark |
| public void fMin(Blackhole bh) { |
| for (int i=0; i<COUNT; i++) |
| bh.consume(fMinBench()); |
| } |
| |
| private double dMaxBench() { |
| inc(); |
| return Math.max(doubles[c1], doubles[c2]); |
| } |
| |
| private double dMinBench() { |
| inc(); |
| return Math.min(doubles[c1], doubles[c2]); |
| } |
| |
| private float fMaxBench() { |
| inc(); |
| return Math.max(floats[c1], floats[c2]); |
| } |
| |
| private float fMinBench() { |
| inc(); |
| return Math.min(floats[c1], floats[c2]); |
| } |
| |
| private void inc() { |
| c1 = c1 + s1 < COUNT ? c1 + s1 : (s1 = step()); |
| c2 = c2 - s2 > 0 ? c2 - s2 : COUNT - (s2 = step()); |
| } |
| |
| @Benchmark |
| public float fMinReduce() { |
| float result = Float.MAX_VALUE; |
| |
| for (int i=0; i<COUNT; i++) |
| result = Math.min(result, floats[i]); |
| |
| return result; |
| } |
| |
| @Benchmark |
| public double dMinReduce() { |
| double result = Double.MAX_VALUE; |
| |
| for (int i=0; i<COUNT; i++) |
| result = Math.min(result, doubles[i]); |
| |
| return result; |
| } |
| } |