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A collection of examples for the aparapi framework.
There is a newer version: 3.0.0
/**
 * This product currently only contains code developed by authors
 * of specific components, as identified by the source code files.
 *
 * Since product implements StAX API, it has dependencies to StAX API
 * classes.
 *
 * For additional credits (generally to people who reported problems)
 * see CREDITS file.
 */
/*
Copyright (c) 2010-2011, Advanced Micro Devices, Inc.
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package com.aparapi.examples.squares;

import com.aparapi.Kernel;
import com.aparapi.Range;

/**
 * An example Aparapi application which computes and displays squares of a set of 512 input values.
 * While executing on GPU using Aparpi framework, each square value is computed in a separate kernel invocation and 
 * can thus maximize performance by optimally utilizing all GPU computing units 
 *  
 * @author gfrost
 *
 */

public class Main{

   public static void main(String[] _args) {

      final int size = 512;

      /** Input float array for which square values need to be computed. */
      final float[] values = new float[size];

      /** Initialize input array. */
      for (int i = 0; i < size; i++) {
         values[i] = i;
      }

      /** Output array which will be populated with square values of corresponding input array elements. */
      final float[] squares = new float[size];

      /** Aparapi Kernel which computes squares of input array elements and populates them in corresponding elements of 
       * output array. 
       **/
      Kernel kernel = new Kernel(){
         @Override public void run() {
            int gid = getGlobalId();
            squares[gid] = values[gid] * values[gid];
         }
      };

      // Execute Kernel.

      kernel.execute(Range.create(512));

      // Report target execution mode: GPU or JTP (Java Thread Pool).
      System.out.println("Device = " + kernel.getTargetDevice().getShortDescription());

      // Display computed square values.
      for (int i = 0; i < size; i++) {
         System.out.printf("%6.0f %8.0f\n", values[i], squares[i]);
      }

      // Dispose Kernel resources.
      kernel.dispose();
   }

}