Galder Zamarreño 567c0c9335 8354244: Use random data in MinMaxRed_Long data arrays
Reviewed-by: chagedorn, mhaessig
2025-08-04 13:51:14 +00:00

120 lines
4.1 KiB
Java

/*
* Copyright (c) 2025, Red Hat, Inc. 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
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*
* 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
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*/
/**
* @test
* @bug 8307513
* @summary [SuperWord] MaxReduction and MinReduction should vectorize for long
* @library /test/lib /
* @run driver compiler.loopopts.superword.MinMaxRed_Long
*/
package compiler.loopopts.superword;
import compiler.lib.generators.Generator;
import compiler.lib.generators.Generators;
import compiler.lib.ir_framework.IR;
import compiler.lib.ir_framework.IRNode;
import compiler.lib.ir_framework.Run;
import compiler.lib.ir_framework.RunMode;
import compiler.lib.ir_framework.Test;
import compiler.lib.ir_framework.TestFramework;
import java.util.Arrays;
public class MinMaxRed_Long {
private static final int SIZE = 1024;
private static final Generator<Long> GEN_LONG = Generators.G.longs();
public static void main(String[] args) throws Exception {
TestFramework framework = new TestFramework();
framework.addFlags("-XX:+IgnoreUnrecognizedVMOptions",
"-XX:LoopUnrollLimit=250",
"-XX:CompileThresholdScaling=0.1");
framework.start();
}
@Run(test = {"maxReductionImplement"},
mode = RunMode.STANDALONE)
public void runMaxTest() {
long[] longs = new long[SIZE];
Generators.G.fill(GEN_LONG, longs);
long res = 0;
for (int j = 0; j < 2000; j++) {
res = maxReductionImplement(longs, res);
}
final long expected = Arrays.stream(longs).map(l -> l * 11).max().getAsLong();
if (res == expected) {
System.out.println("Success");
} else {
throw new AssertionError("Failed, got result " + res + " but expected " + expected);
}
}
@Run(test = {"minReductionImplement"},
mode = RunMode.STANDALONE)
public void runMinTest() {
long[] longs = new long[SIZE];
Generators.G.fill(GEN_LONG, longs);
long res = 0;
for (int j = 0; j < 2000; j++) {
res = minReductionImplement(longs, res);
}
final long expected = Arrays.stream(longs).map(l -> l * 11).min().getAsLong();
if (res == expected) {
System.out.println("Success");
} else {
throw new AssertionError("Failed, got result " + res + " but expected " + expected);
}
}
@Test
@IR(applyIfAnd = {"SuperWordReductions", "true", "MaxVectorSize", ">=32"},
applyIfCPUFeatureOr = {"avx512", "true", "asimd" , "true"},
counts = {IRNode.MIN_REDUCTION_V, " > 0"})
public static long minReductionImplement(long[] a, long res) {
for (int i = 0; i < a.length; i++) {
final long v = 11 * a[i];
res = Math.min(res, v);
}
return res;
}
@Test
@IR(applyIfAnd = {"SuperWordReductions", "true", "MaxVectorSize", ">=32"},
applyIfCPUFeatureOr = {"avx512", "true", "asimd" , "true"},
counts = {IRNode.MAX_REDUCTION_V, " > 0"})
public static long maxReductionImplement(long[] a, long res) {
for (int i = 0; i < a.length; i++) {
final long v = 11 * a[i];
res = Math.max(res, v);
}
return res;
}
}