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8263006: Add optimization for Max(*)Node and Min(*)Node #3513

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/*
* Copyright (c) 2021, Huawei Technologies Co. Ltd. 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.Benchmark;
import org.openjdk.jmh.annotations.*;

import java.util.Random;
import java.util.concurrent.TimeUnit;
import org.openjdk.jmh.infra.Blackhole;

@BenchmarkMode({Mode.AverageTime})
@OutputTimeUnit(TimeUnit.MICROSECONDS)
@State(Scope.Thread)
public class MaxMinOptimizeTest {
private static final int COUNT = 100000;

private float[] floats_a = new float[COUNT];
private float[] floats_b = new float[COUNT];
private double[] doubles_a = new double[COUNT];
private double[] doubles_b = new double[COUNT];

private Random r = new Random();

@Setup
public void init() {
for (int i=0; i<COUNT; i++) {
floats_a[i] = r.nextFloat();
floats_b[i] = r.nextFloat();
doubles_a[i] = r.nextDouble();
doubles_b[i] = r.nextDouble();
}
}

@Benchmark
public void fAdd(Blackhole bh) {
float sum = 0;
for (int i=0; i<COUNT; i++)
sum += fAddBench(floats_a[i], floats_b[i]);
bh.consume(sum);
}

@Benchmark
public void fMul(Blackhole bh) {
float sum = 0;
for (int i=0; i<COUNT; i++)
sum += fMulBench(floats_a[i], floats_b[i]);
bh.consume(sum);
}

@Benchmark
public void fMax(Blackhole bh) {
float sum = 0;
for (int i=0; i<COUNT; i++)
sum += fMaxBench(floats_a[i], floats_b[i]);
bh.consume(sum);
}

@Benchmark
public void fMin(Blackhole bh) {
float sum = 0;
for (int i=0; i<COUNT; i++)
sum += fMinBench(floats_a[i], floats_b[i]);
bh.consume(sum);
}

private float fAddBench(float a, float b) {
return Math.max(a, b) + Math.min(a, b);
}

private float fMulBench(float a, float b) {
return Math.max(a, b) * Math.min(a, b);
}

private float fMaxBench(float a, float b) {
return Math.max(Math.max(a, b), Math.min(a, b));
}

private float fMinBench(float a, float b) {
return Math.min(Math.max(a, b), Math.min(a, b));
}


@Benchmark
public void dAdd(Blackhole bh) {
double sum = 0;
for (int i=0; i<COUNT; i++)
sum += dAddBench(doubles_a[i], doubles_b[i]);
bh.consume(sum);
}

@Benchmark
public void dMul(Blackhole bh) {
double sum = 0;
for (int i=0; i<COUNT; i++)
sum += dMulBench(doubles_a[i], doubles_b[i]);
bh.consume(sum);
}

@Benchmark
public void dMax(Blackhole bh) {
double sum = 0;
for (int i=0; i<COUNT; i++)
sum += dMaxBench(doubles_a[i], doubles_b[i]);
bh.consume(sum);
}

@Benchmark
public void dMin(Blackhole bh) {
double sum = 0;
for (int i=0; i<COUNT; i++)
sum += dMinBench(doubles_a[i], doubles_b[i]);
bh.consume(sum);
}

private double dAddBench(double a, double b) {
return Math.max(a, b) + Math.min(a, b);
}

private double dMulBench(double a, double b) {
return Math.max(a, b) * Math.min(a, b);
}

private double dMaxBench(double a, double b) {
return Math.max(Math.max(a, b), Math.min(a, b));
}

private double dMinBench(double a, double b) {
return Math.min(Math.max(a, b), Math.min(a, b));
}
}