gcc/libgomp/testsuite/libgomp.oacc-c-c++-common/lib-82.c

145 lines
3.0 KiB
C

/* { dg-do run { target openacc_nvidia_accel_selected } } */
/* { dg-additional-options "-lcuda" } */
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <openacc.h>
#include <cuda.h>
int
main (int argc, char **argv)
{
CUdevice dev;
CUfunction delay2;
CUmodule module;
CUresult r;
int N;
int i;
CUstream *streams;
unsigned long **a, **d_a, *tid, ticks;
int nbytes;
void *kargs[3];
int clkrate;
int devnum, nprocs;
acc_init (acc_device_nvidia);
devnum = acc_get_device_num (acc_device_nvidia);
r = cuDeviceGet (&dev, devnum);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGet failed: %d\n", r);
abort ();
}
r =
cuDeviceGetAttribute (&nprocs, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuDeviceGetAttribute (&clkrate, CU_DEVICE_ATTRIBUTE_CLOCK_RATE, dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuModuleLoad (&module, "subr.ptx");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleLoad failed: %d\n", r);
abort ();
}
r = cuModuleGetFunction (&delay2, module, "delay2");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleGetFunction failed: %d\n", r);
abort ();
}
nbytes = sizeof (int);
ticks = (unsigned long) (200.0 * clkrate);
N = nprocs;
streams = (CUstream *) malloc (N * sizeof (void *));
a = (unsigned long **) malloc (N * sizeof (unsigned long *));
d_a = (unsigned long **) malloc (N * sizeof (unsigned long *));
tid = (unsigned long *) malloc (N * sizeof (unsigned long));
for (i = 0; i < N; i++)
{
a[i] = (unsigned long *) malloc (sizeof (unsigned long));
*a[i] = N;
d_a[i] = (unsigned long *) acc_malloc (nbytes);
tid[i] = i;
acc_map_data (a[i], d_a[i], nbytes);
streams[i] = (CUstream) acc_get_cuda_stream (i);
if (streams[i] != NULL)
abort ();
r = cuStreamCreate (&streams[i], CU_STREAM_DEFAULT);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
if (!acc_set_cuda_stream (i, streams[i]))
abort ();
}
for (i = 0; i < N; i++)
{
kargs[0] = (void *) &d_a[i];
kargs[1] = (void *) &ticks;
kargs[2] = (void *) &tid[i];
r = cuLaunchKernel (delay2, 1, 1, 1, 1, 1, 1, 0, streams[i], kargs, 0);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuLaunchKernel failed: %d\n", r);
abort ();
}
ticks = (unsigned long) (50.0 * clkrate);
}
acc_wait_all_async (0);
for (i = 0; i < N; i++)
{
acc_copyout (a[i], nbytes);
if (*a[i] != i)
abort ();
}
free (streams);
for (i = 0; i < N; i++)
{
free (a[i]);
}
free (a);
free (d_a);
free (tid);
acc_shutdown (acc_device_nvidia);
exit (0);
}
/* { dg-output "" } */