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();
}
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();
}