org.openjdk.jmh.samples.JMHSample_10_ConstantFold Maven / Gradle / Ivy

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/*
 * Copyright (c) 2014, Oracle America, Inc.
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 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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package org.openjdk.jmh.samples;

import org.openjdk.jmh.annotations.*;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;

import java.util.concurrent.TimeUnit;

@State(Scope.Thread)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
public class JMHSample_10_ConstantFold {

    /*
     * The flip side of dead-code elimination is constant-folding.
     *
     * If JVM realizes the result of the computation is the same no matter what,
     * it can cleverly optimize it. In our case, that means we can move the
     * computation outside of the internal JMH loop.
     *
     * This can be prevented by always reading the inputs from non-final
     * instance fields of @State objects, computing the result based on those
     * values, and follow the rules to prevent DCE.
     */

    // IDEs will say "Oh, you can convert this field to local variable". Don't. Trust. Them.
    // (While this is normally fine advice, it does not work in the context of measuring correctly.)
    private double x = Math.PI;

    // IDEs will probably also say "Look, it could be final". Don't. Trust. Them. Either.
    // (While this is normally fine advice, it does not work in the context of measuring correctly.)
    private final double wrongX = Math.PI;

    @Benchmark
    public double baseline() {
        // simply return the value, this is a baseline
        return Math.PI;
    }

    @Benchmark
    public double measureWrong_1() {
        // This is wrong: the source is predictable, and computation is foldable.
        return Math.log(Math.PI);
    }

    @Benchmark
    public double measureWrong_2() {
        // This is wrong: the source is predictable, and computation is foldable.
        return Math.log(wrongX);
    }

    @Benchmark
    public double measureRight() {
        // This is correct: the source is not predictable.
        return Math.log(x);
    }

    /*
     * ============================== HOW TO RUN THIS TEST: ====================================
     *
     * You can see the unrealistically fast calculation in with measureWrong_*(),
     * while realistic measurement with measureRight().
     *
     * You can run this test:
     *
     * a) Via the command line:
     *    $ mvn clean install
     *    $ java -jar target/benchmarks.jar JMHSample_10 -i 5 -f 1
     *    (we requested single fork; there are also other options, see -h)
     *
     * b) Via the Java API:
     *    (see the JMH homepage for possible caveats when running from IDE:
     *      http://openjdk.java.net/projects/code-tools/jmh/)
     */

    public static void main(String[] args) throws RunnerException {
        Options opt = new OptionsBuilder()
                .include(JMHSample_10_ConstantFold.class.getSimpleName())
                .forks(1)
                .build();

        new Runner(opt).run();
    }

}