Пример #1
0
  public static void main(String[] _args) {

    final int size = 512;

    final float[] a = new float[size];
    final float[] b = new float[size];

    for (int i = 0; i < size; i++) {
      a[i] = (float) (Math.random() * 100);
      b[i] = (float) (Math.random() * 100);
    }

    final float[] sum = new float[size];

    Kernel kernel =
        new Kernel() {
          @Override
          public void run() {
            int gid = getGlobalId();
            sum[gid] = a[gid] + b[gid];
          }
        };

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

    for (int i = 0; i < size; i++) {
      System.out.printf("%6.2f + %6.2f = %8.2f\n", a[i], b[i], sum[i]);
    }

    kernel.dispose();
  }
Пример #2
0
  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(512);

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

    // 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();
  }