org.openjdk.jmh.samples.JMHSample_17_SyncIterations Maven / Gradle / Ivy
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* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
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*
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package org.openjdk.jmh.samples;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.State;
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)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public class JMHSample_17_SyncIterations {
/*
* This is the another thing that is enabled in JMH by default.
*
* Suppose we have this simple benchmark.
*/
private double src;
@Benchmark
public double test() {
double s = src;
for (int i = 0; i < 1000; i++) {
s = Math.sin(s);
}
return s;
}
/*
* It turns out if you run the benchmark with multiple threads,
* the way you start and stop the worker threads seriously affects
* performance.
*
* The natural way would be to park all the threads on some sort
* of barrier, and the let them go "at once". However, that does
* not work: there are no guarantees the worker threads will start
* at the same time, meaning other worker threads are working
* in better conditions, skewing the result.
*
* The better solution would be to introduce bogus iterations,
* ramp up the threads executing the iterations, and then atomically
* shift the system to measuring stuff. The same thing can be done
* during the rampdown. This sounds complicated, but JMH already
* handles that for you.
*
*/
/*
* ============================== HOW TO RUN THIS TEST: ====================================
*
* You will need to oversubscribe the system to make this effect
* clearly visible; however, this effect can also be shown on the
* unsaturated systems.*
*
* Note the performance of -si false version is more flaky, even
* though it is "better". This is the false improvement, granted by
* some of the threads executing in solo. The -si true version more stable
* and coherent.
*
* -si true is enabled by default.
*
* Say, $CPU is the number of CPUs on your machine.
*
* You can run this test with:
*
* a) Via the command line:
* $ mvn clean install
* $ java -jar target/benchmarks.jar ".*JMHSample_17.*" \
* -i 20 -wi 1 -f 1 -t ${CPU*16} -si {true|false}
* (we requested 1 warmup iterations, 20 iterations, single fork,
* lots of threads, and changeable "synchronize iterations" option)
*
* 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_17_SyncIterations.class.getSimpleName() + ".*")
.warmupIterations(1)
.measurementIterations(20)
.threads(Runtime.getRuntime().availableProcessors()*16)
.forks(1)
.syncIterations(true) // try to switch to "false"
.build();
new Runner(opt).run();
}
}
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