Retro68/gcc/libgomp/testsuite/libgomp.oacc-c-c++-common/asyncwait-1.c
2017-04-10 13:32:00 +02:00

901 lines
15 KiB
C

/* { dg-do run { target openacc_nvidia_accel_selected } } */
/* <http://news.gmane.org/find-root.php?message_id=%3C87pp0aaksc.fsf%40kepler.schwinge.homeip.net%3E>.
{ dg-xfail-run-if "TODO" { *-*-* } } */
/* { dg-additional-options "-lcuda" } */
#include <openacc.h>
#include <stdlib.h>
#include "cuda.h"
#include <stdio.h>
#include <sys/time.h>
int
main (int argc, char **argv)
{
CUresult r;
CUstream stream1;
int N = 128; //1024 * 1024;
float *a, *b, *c, *d, *e;
int i;
int nbytes;
acc_init (acc_device_nvidia);
nbytes = N * sizeof (float);
a = (float *) malloc (nbytes);
b = (float *) malloc (nbytes);
c = (float *) malloc (nbytes);
d = (float *) malloc (nbytes);
e = (float *) malloc (nbytes);
for (i = 0; i < N; i++)
{
a[i] = 3.0;
b[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copyin (N)
{
#pragma acc parallel async
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = a[ii];
}
#pragma acc wait
}
for (i = 0; i < N; i++)
{
if (a[i] != 3.0)
abort ();
if (b[i] != 3.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 2.0;
b[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 2.0)
abort ();
if (b[i] != 2.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 3.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copy (c[0:N]) copy (d[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 3.0)
abort ();
if (b[i] != 9.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 2.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copy (a[0:N], b[0:N], c[0:N], d[0:N], e[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc parallel wait (1) async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
e[ii] = a[ii] + b[ii] + c[ii] + d[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 2.0)
abort ();
if (b[i] != 4.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
if (e[i] != 11.0)
abort ();
}
r = cuStreamCreate (&stream1, CU_STREAM_NON_BLOCKING);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
acc_set_cuda_stream (1, stream1);
for (i = 0; i < N; i++)
{
a[i] = 5.0;
b[i] = 0.0;
}
#pragma acc data copy (a[0:N], b[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 5.0)
abort ();
if (b[i] != 5.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 7.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copy (c[0:N]) copy (d[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 7.0)
abort ();
if (b[i] != 49.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 3.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copy (a[0:N], b[0:N], c[0:N], d[0:N], e[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc parallel wait (1) async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
e[ii] = a[ii] + b[ii] + c[ii] + d[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 3.0)
abort ();
if (b[i] != 9.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
if (e[i] != 17.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 4.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copyin (a[0:N], b[0:N], c[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc update host (a[0:N], b[0:N], c[0:N]) wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 4.0)
abort ();
if (b[i] != 16.0)
abort ();
if (c[i] != 4.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 5.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copyin (a[0:N], b[0:N], c[0:N]) copyin (N)
{
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc parallel async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc update host (a[0:N], b[0:N], c[0:N]) async (1)
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 5.0)
abort ();
if (b[i] != 25.0)
abort ();
if (c[i] != 4.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 3.0;
b[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copyin (N)
{
#pragma acc kernels async
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = a[ii];
}
#pragma acc wait
}
for (i = 0; i < N; i++)
{
if (a[i] != 3.0)
abort ();
if (b[i] != 3.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 2.0;
b[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 2.0)
abort ();
if (b[i] != 2.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 3.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copy (c[0:N]) copy (d[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 3.0)
abort ();
if (b[i] != 9.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 2.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copy (a[0:N], b[0:N], c[0:N], d[0:N], e[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc kernels wait (1) async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
e[ii] = a[ii] + b[ii] + c[ii] + d[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 2.0)
abort ();
if (b[i] != 4.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
if (e[i] != 11.0)
abort ();
}
r = cuStreamCreate (&stream1, CU_STREAM_NON_BLOCKING);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
acc_set_cuda_stream (1, stream1);
for (i = 0; i < N; i++)
{
a[i] = 5.0;
b[i] = 0.0;
}
#pragma acc data copy (a[0:N], b[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 5.0)
abort ();
if (b[i] != 5.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 7.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
}
#pragma acc data copy (a[0:N]) copy (b[0:N]) copy (c[0:N]) copy (d[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 7.0)
abort ();
if (b[i] != 49.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 3.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copy (a[0:N], b[0:N], c[0:N], d[0:N], e[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
}
#pragma acc kernels wait (1) async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
e[ii] = a[ii] + b[ii] + c[ii] + d[ii];
}
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 3.0)
abort ();
if (b[i] != 9.0)
abort ();
if (c[i] != 4.0)
abort ();
if (d[i] != 1.0)
abort ();
if (e[i] != 17.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 4.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copyin (a[0:N], b[0:N], c[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc update host (a[0:N], b[0:N], c[0:N]) wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 4.0)
abort ();
if (b[i] != 16.0)
abort ();
if (c[i] != 4.0)
abort ();
}
for (i = 0; i < N; i++)
{
a[i] = 5.0;
b[i] = 0.0;
c[i] = 0.0;
d[i] = 0.0;
e[i] = 0.0;
}
#pragma acc data copyin (a[0:N], b[0:N], c[0:N]) copyin (N)
{
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
}
#pragma acc kernels async (1)
{
int ii;
for (ii = 0; ii < N; ii++)
c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
}
#pragma acc update host (a[0:N], b[0:N], c[0:N]) async (1)
#pragma acc wait (1)
}
for (i = 0; i < N; i++)
{
if (a[i] != 5.0)
abort ();
if (b[i] != 25.0)
abort ();
if (c[i] != 4.0)
abort ();
}
acc_shutdown (acc_device_nvidia);
return 0;
}