本文整理汇总了Java中com.aparapi.Kernel.execute方法的典型用法代码示例。如果您正苦于以下问题：Java Kernel.execute方法的具体用法？Java Kernel.execute怎么用？Java Kernel.execute使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类com.aparapi.Kernel的用法示例。
在下文中一共展示了Kernel.execute方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: test
import com.aparapi.Kernel; //导入方法依赖的package包/类
@Test
public void test() {
final int globalArray[] = new int[512];
Kernel kernel = new Kernel() {
@Override
public void run() {
globalArray[getGlobalId()] = getGlobalId();
}
};
for (int loop = 0; loop < 100; loop++) {
System.out.printf("%3d free = %10d\n", loop, Runtime.getRuntime().freeMemory());
kernel.execute(Range.create(512, 64), 1);
for (int i = 0; i < globalArray.length; ++i) {
Assert.assertEquals("Wrong", i, globalArray[i]);
}
}
for (int loop = 0; loop < 100; loop++) {
System.out.printf("%3d free = %10d\n", loop, Runtime.getRuntime().freeMemory());
kernel.execute(Range.create(512, 64), 2);
for (int i = 0; i < globalArray.length; ++i) {
Assert.assertEquals("Wrong", i, globalArray[i]);
}
}
}
示例2: Zrun1D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Zrun1D() {
final boolean[] A = new boolean[N * N];
final boolean[] B = new boolean[N * N];
final boolean[] gpu = new boolean[N * N];
boolean[] cpu = new boolean[N * N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[(i * N) + j] = ((i % 2) == 0) ^ ((j % 2) == 0);
B[(i * N) + j] = ((i % 2) == 0) & ((j % 2) == 0);
cpu[(i * N) + j] = false;
gpu[(i * N) + j] = false;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new ZMatMul1D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例3: Brun1D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Brun1D() {
final byte[] A = new byte[N * N];
final byte[] B = new byte[N * N];
final byte[] gpu = new byte[N * N];
byte[] cpu = new byte[N * N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[(i * N) + j] = (byte) (i + j);
B[(i * N) + j] = (byte) (i - j);
cpu[(i * N) + j] = (byte) 0;
gpu[(i * N) + j] = (byte) 0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new BMatMul1D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例4: Srun1D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Srun1D() {
final short[] A = new short[N * N];
final short[] B = new short[N * N];
final short[] gpu = new short[N * N];
short[] cpu = new short[N * N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[(i * N) + j] = (short) (i + j);
B[(i * N) + j] = (short) (i - j);
cpu[(i * N) + j] = (short) 0;
gpu[(i * N) + j] = (short) 0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new SMatMul1D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例5: Irun1D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Irun1D() {
final int[] A = new int[N * N];
final int[] B = new int[N * N];
final int[] gpu = new int[N * N];
int[] cpu = new int[N * N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[(i * N) + j] = i + j;
B[(i * N) + j] = i - j;
cpu[(i * N) + j] = 0;
gpu[(i * N) + j] = 0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new IMatMul1D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例6: Lrun1D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Lrun1D() {
final long[] A = new long[N * N];
final long[] B = new long[N * N];
final long[] gpu = new long[N * N];
long[] cpu = new long[N * N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[(i * N) + j] = i + j;
B[(i * N) + j] = i - j;
cpu[(i * N) + j] = 0l;
gpu[(i * N) + j] = 0l;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new LMatMul1D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例7: Frun1D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Frun1D() {
final float[] A = new float[N * N];
final float[] B = new float[N * N];
final float[] gpu = new float[N * N];
float[] cpu = new float[N * N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[(i * N) + j] = i + j;
B[(i * N) + j] = i - j;
cpu[(i * N) + j] = 0.0f;
gpu[(i * N) + j] = 0.0f;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new FMatMul1D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例8: Zrun2D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Zrun2D() {
final boolean[][] A = new boolean[N][N];
final boolean[][] B = new boolean[N][N];
final boolean[][] gpu = new boolean[N][N];
boolean[][] cpu = new boolean[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[i][j] = ((i % 2) == 0) ^ ((j % 2) == 0);
B[i][j] = ((i % 2) == 0) & ((j % 2) == 0);
cpu[i][j] = false;
gpu[i][j] = false;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new ZMatMul2D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例9: Brun2D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Brun2D() {
final byte[][] A = new byte[N][N];
final byte[][] B = new byte[N][N];
final byte[][] gpu = new byte[N][N];
byte[][] cpu = new byte[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[i][j] = (byte) (i + j);
B[i][j] = (byte) (i - j);
cpu[i][j] = (byte) 0;
gpu[i][j] = (byte) 0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new BMatMul2D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例10: Srun2D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Srun2D() {
final short[][] A = new short[N][N];
final short[][] B = new short[N][N];
final short[][] gpu = new short[N][N];
short[][] cpu = new short[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[i][j] = (short) (i + j);
B[i][j] = (short) (i - j);
cpu[i][j] = (short) 0;
gpu[i][j] = (short) 0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new SMatMul2D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例11: Irun2D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Irun2D() {
final int[][] A = new int[N][N];
final int[][] B = new int[N][N];
final int[][] gpu = new int[N][N];
int[][] cpu = new int[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[i][j] = i + j;
B[i][j] = i - j;
cpu[i][j] = 0;
gpu[i][j] = 0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new IMatMul2D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例12: main
import com.aparapi.Kernel; //导入方法依赖的package包/类
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(size));
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();
}
示例13: Frun2D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Frun2D() {
final float[][] A = new float[N][N];
final float[][] B = new float[N][N];
final float[][] gpu = new float[N][N];
float[][] cpu = new float[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[i][j] = i + j;
B[i][j] = i - j;
cpu[i][j] = 0.0f;
gpu[i][j] = 0.0f;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new FMatMul2D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例14: Drun2D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Drun2D() {
final double[][] A = new double[N][N];
final double[][] B = new double[N][N];
final double[][] gpu = new double[N][N];
double[][] cpu = new double[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
A[i][j] = i + j;
B[i][j] = i - j;
cpu[i][j] = 0.0;
gpu[i][j] = 0.0;
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new DMatMul2D(A, B, gpu, N);
kernel.execute(N * N);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, N);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}
示例15: Zrun3D
import com.aparapi.Kernel; //导入方法依赖的package包/类
public static void Zrun3D() {
final boolean[][][] A = new boolean[M][M][M];
final boolean[][][] B = new boolean[M][M][M];
final boolean[][][] gpu = new boolean[M][M][M];
boolean[][][] cpu = new boolean[M][M][M];
for (int i = 0; i < M; i++) {
for (int j = 0; j < M; j++) {
for (int k = 0; k < M; k++) {
A[i][j][k] = ((i % 2) == 0) ^ (((j % 2) == 0) & ((k % 2) == 0));
B[i][j][k] = (((i % 2) == 0) & ((j % 2) == 0)) ^ ((k % 2) == 0);
;
cpu[i][j][k] = false;
gpu[i][j][k] = false;
}
}
}
long gs = System.currentTimeMillis();
final Kernel kernel = new ZMatMul3D(A, B, gpu, M);
kernel.execute(M * M * M);
gs = System.currentTimeMillis() - gs;
long cs = System.currentTimeMillis();
cpu = matMull(A, B, M);
cs = System.currentTimeMillis() - cs;
System.out.println("gpu time: " + gs + "\ncpu time: " + cs);
System.out.print("valid? ");
if (checkResults(cpu, gpu)) {
System.out.println("yes");
} else {
System.out.println("no");
}
}