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/*
* Copyright (c) 2015, 2023, 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.
*/
/**
* @test
* @bug 8074981
* @summary Add C2 x86 Superword support for scalar product reduction optimizations : float test
* @library /test/lib /
* @run driver compiler.loopopts.superword.ProdRed_Float
*/
package compiler.loopopts.superword;
import compiler.lib.ir_framework.*;
public class ProdRed_Float {
public static void main(String[] args) throws Exception {
TestFramework framework = new TestFramework();
framework.addFlags("-XX:+IgnoreUnrecognizedVMOptions",
"-XX:LoopUnrollLimit=250",
"-XX:CompileThresholdScaling=0.1");
int i = 0;
Scenario[] scenarios = new Scenario[6];
for (String reductionSign : new String[] {"+", "-"}) {
for (int maxUnroll : new int[] {4, 8, 16}) {
scenarios[i] = new Scenario(i, "-XX:" + reductionSign + "SuperWordReductions",
"-XX:LoopMaxUnroll=" + maxUnroll);
i++;
}
}
framework.addScenarios(scenarios);
framework.start();
}
@Run(test = {"prodReductionImplement"},
mode = RunMode.STANDALONE)
public void runTests() throws Exception {
float[] a = new float[256 * 1024];
float[] b = new float[256 * 1024];
prodReductionInit(a, b);
float valid = 2000;
float total = 0;
for (int j = 0; j < 2000; j++) {
total = j + 1;
total = prodReductionImplement(a, b, total);
}
if (total == valid) {
System.out.println("Success");
} else {
System.out.println("Invalid sum of elements variable in total: " + total);
System.out.println("Expected value = " + valid);
throw new Exception("Failed");
}
}
public static void prodReductionInit(float[] a, float[] b) {
for (int i = 0; i < a.length; i++) {
a[i] = i + 2;
b[i] = i + 1;
}
}
@Test
@IR(applyIf = {"SuperWordReductions", "false"},
failOn = {IRNode.MUL_REDUCTION_VF})
@IR(applyIfCPUFeature = {"sse4.1", "true"},
applyIfAnd = {"SuperWordReductions", "true", "LoopMaxUnroll", ">= 8"},
counts = {IRNode.MUL_REDUCTION_VF, ">= 1"})
// There is no efficient way to implement strict-ordered version on riscv64.
@IR(applyIfCPUFeature = {"rvv", "true"},
applyIf = {"SuperWordReductions", "true"},
failOn = {IRNode.MUL_REDUCTION_VF})
public static float prodReductionImplement(float[] a, float[] b, float total) {
for (int i = 0; i < a.length; i++) {
total *= a[i] - b[i];
}
return total;
}
}
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