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/* { dg-do run { target openacc_nvidia_accel_selected } } */
/* { dg-additional-options "-lcuda -lcublas -lcudart" } */
#include <stdlib.h>
#include <openacc.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <cublas_v2.h>
void
saxpy_host (int n, float a, float *x, float *y)
{
int i;
for (i = 0; i < n; i++)
y[i] = y[i] + a * x[i];
}
#pragma acc routine
void
saxpy_target (int n, float a, float *x, float *y)
{
int i;
for (i = 0; i < n; i++)
y[i] = y[i] + a * x[i];
}
int
main(int argc, char **argv)
{
#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_host (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);
}
}
for (i = 0; i < N; i++)
{
if (y[i] != y_ref[i])
abort ();
}
#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);
for (i = 0; i < N; i++)
{
if (y[i] != y_ref[i])
abort ();
}
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_target (N, a, x, y);
}
for (i = 0; i < N; i++)
{
if (y[i] != y_ref[i])
abort ();
}
return 0;
}
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