jdk-24/test/micro/org/openjdk/bench/java/math/FpRoundingBenchmark.java
Claes Redestad 7e948f7ccb 8287903: Reduce runtime of java.math microbenchmarks
Reviewed-by: ecaspole, aph
2022-06-09 13:11:15 +00:00

126 lines
3.4 KiB
Java

//
// Copyright (c) 2003, 2022, 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.java.math;
import java.util.Random;
import java.util.concurrent.TimeUnit;
import org.openjdk.jmh.annotations.*;
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@State(Scope.Thread)
@Warmup(iterations = 5, time = 1)
@Measurement(iterations = 5, time = 1)
@Fork(value = 3)
public class FpRoundingBenchmark {
@Param({"2048"})
public int TESTSIZE;
public double[] DargV1;
public double[] ResD;
public long[] ResL;
public float[] FargV1;
public float[] ResF;
public int[] ResI;
public final double[] DspecialVals = {
0.0, -0.0, Double.NaN, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY,
Double.MAX_VALUE, -Double.MAX_VALUE, Double.MIN_VALUE, -Double.MIN_VALUE,
Double.MIN_NORMAL
};
public final float[] FspecialVals = {
0.0f, -0.0f, Float.NaN, Float.NEGATIVE_INFINITY, Float.POSITIVE_INFINITY,
Float.MAX_VALUE, -Float.MAX_VALUE, Float.MIN_VALUE, -Float.MIN_VALUE,
Float.MIN_NORMAL
};
@Setup(Level.Trial)
public void BmSetup() {
int i = 0;
Random r = new Random(1024);
DargV1 = new double[TESTSIZE];
ResD = new double[TESTSIZE];
for (; i < DspecialVals.length; i++) {
DargV1[i] = DspecialVals[i];
}
for (; i < TESTSIZE; i++) {
DargV1[i] = Double.longBitsToDouble(r.nextLong());;
}
FargV1 = new float[TESTSIZE];
ResF = new float[TESTSIZE];
i = 0;
for (; i < FspecialVals.length; i++) {
FargV1[i] = FspecialVals[i];
}
for (; i < TESTSIZE; i++) {
FargV1[i] = Float.intBitsToFloat(r.nextInt());
}
ResI = new int[TESTSIZE];
ResL = new long[TESTSIZE];
}
@Benchmark
public void test_ceil() {
for (int i = 0; i < TESTSIZE; i++) {
ResD[i] = Math.ceil(DargV1[i]);
}
}
@Benchmark
public void test_floor() {
for (int i = 0; i < TESTSIZE; i++) {
ResD[i] = Math.floor(DargV1[i]);
}
}
@Benchmark
public void test_rint() {
for (int i = 0; i < TESTSIZE; i++) {
ResD[i] = Math.rint(DargV1[i]);
}
}
@Benchmark
public void test_round_double() {
for (int i = 0; i < TESTSIZE; i++) {
ResL[i] = Math.round(DargV1[i]);
}
}
@Benchmark
public void test_round_float() {
for (int i = 0; i < TESTSIZE; i++) {
ResI[i] = Math.round(FargV1[i]);
}
}
}