jdk/test/micro/org/openjdk/bench/vm/compiler/LeadingZeros.java
Jasmine Karthikeyan f77a5117db 8350468: x86: Improve implementation of vectorized numberOfLeadingZeros for int and long
Co-authored-by: Raffaello Giulietti <rgiulietti@openjdk.org>
Reviewed-by: sviswanathan, qamai, vlivanov
2025-11-10 06:16:02 +00:00

82 lines
2.5 KiB
Java

/*
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*
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package org.openjdk.bench.vm.compiler;
import org.openjdk.jmh.annotations.*;
import org.openjdk.jmh.infra.Blackhole;
import java.util.Random;
import java.util.concurrent.TimeUnit;
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
@Measurement(iterations = 5, time = 1000, timeUnit = TimeUnit.MILLISECONDS)
@Warmup(iterations = 5, time = 1000, timeUnit = TimeUnit.MILLISECONDS)
@Fork(3)
public class LeadingZeros {
private static final int SIZE = 512;
@Benchmark
public void testInt(Blackhole blackhole, BenchState state) {
for (int i = 0; i < SIZE; i++) {
state.result[i] = Integer.numberOfLeadingZeros(state.ints[i]);
}
blackhole.consume(state.result);
}
@Benchmark
public void testLong(Blackhole blackhole, BenchState state) {
for (int i = 0; i < SIZE; i++) {
state.result[i] = Long.numberOfLeadingZeros(state.longs[i]);
}
blackhole.consume(state.result);
}
@State(Scope.Benchmark)
public static class BenchState {
private final int[] ints = new int[SIZE];
private final long[] longs = new long[SIZE];
private final int[] result = new int[SIZE];
private Random random;
public BenchState() {
}
@Setup
public void setup() {
this.random = new Random(1000);
for (int i = 0; i < SIZE; i++) {
ints[i] = this.random.nextInt();
longs[i] = this.random.nextLong();
}
}
}
}