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/* { dg-do run { target openacc_nvidia_accel_selected } } */
/* { dg-additional-options "-lm -lcuda -lcublas -lcudart -Wall -Wextra" } */
/* { dg-require-effective-target openacc_cublas } */
/* { dg-require-effective-target openacc_cudart } */
#include <stdlib.h>
#include <math.h>
#include <openacc.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <cublas_v2.h>
#pragma acc routine
void
saxpy (int n, float a, float *x, float *y)
{
int i;
for (i = 0; i < n; i++)
y[i] = y[i] + a * x[i];
}
void
validate_results (int n, float *a, float *b)
{
int i;
for (i = 0; i < n; i++)
if (fabs (a[i] - b[i]) > .00001)
abort ();
}
int
main()
{
#define N 8
int i;
float x_ref[N], y_ref[N];
float x[N], y[N];
cublasHandle_t h;
float a = 2.0;
for (i = 0; i < N; i++)
{
x[i] = x_ref[i] = 4.0 + i;
y[i] = y_ref[i] = 3.0;
}
saxpy (N, a, x_ref, y_ref);
cublasCreate (&h);
#pragma acc data copyin (x[0:N]) copy (y[0:N])
{
#pragma acc host_data use_device (x, y)
{
cublasSaxpy (h, N, &a, x, 1, y, 1);
}
}
validate_results (N, y, y_ref);
#pragma acc data create (x[0:N]) copyout (y[0:N])
{
#pragma acc kernels
for (i = 0; i < N; i++)
y[i] = 3.0;
#pragma acc host_data use_device (x, y)
{
cublasSaxpy (h, N, &a, x, 1, y, 1);
}
}
cublasDestroy (h);
validate_results (N, y, y_ref);
for (i = 0; i < N; i++)
y[i] = 3.0;
/* There's no need to use host_data here. */
#pragma acc data copyin (x[0:N]) copyin (a) copy (y[0:N])
{
#pragma acc parallel present (x[0:N]) pcopy (y[0:N]) present (a)
saxpy (N, a, x, y);
}
validate_results (N, y, y_ref);
/* Exercise host_data with data transferred with acc enter data. */
for (i = 0; i < N; i++)
y[i] = 3.0;
#pragma acc enter data copyin (x, a, y)
#pragma acc parallel present (x[0:N]) pcopy (y[0:N]) present (a)
{
saxpy (N, a, x, y);
}
#pragma acc exit data delete (x, a) copyout (y)
validate_results (N, y, y_ref);
return 0;
}
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