hotspot/test/compiler/loopopts/superword/ProdRed_Double.java
author kvn
Wed, 01 Apr 2015 18:07:50 -0700
changeset 30211 442fbbb31f75
child 36057 867e857daf84
permissions -rw-r--r--
8074981: Integer/FP scalar reduction optimization Summary: Add scalar reduction optimization to C2 to take advantage of vector instructions in modern x86 CPUs. Reviewed-by: kvn, twisti Contributed-by: michael.c.berg@intel.com

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/**
 * @test
 * @bug 8074981
 * @summary Add C2 x86 Superword support for scalar product reduction optimizations : float test
 *
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:+SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=2 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=2 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 *
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:+SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=4 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=4 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 *
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:+SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=8 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=8 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 *
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:+SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=16 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-SuperWordReductions -XX:LoopUnrollLimit=250 -XX:LoopMaxUnroll=16 -XX:CompileThresholdScaling=0.1 ProdRed_Double
 */

public class ProdRed_Double
{
  public static void main(String[] args) throws Exception {
    double[] a = new double[256*1024];
    double[] b = new double[256*1024];
    prodReductionInit(a,b);
    double valid = 2000;
    double 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(double[] a, double[] b)
  {
    for(int i = 0; i < a.length; i++)
    {
      a[i] = i + 2;
      b[i] = i + 1;
    }
  }

  public static double prodReductionImplement(double[] a, double[] b, double total)
  {
    for(int i = 0; i < a.length; i++)
    {
      total *= a[i] - b[i];
    }
    return total;
  }

}