blob: b805d5f9b810afa4b9d19e870209c38fd2c41902 [file] [log] [blame]
/* { dg-do run { target openacc_nvidia_accel_selected } } */
/* { dg-additional-options "-lcuda" } */
/* { dg-require-effective-target openacc_cuda } */
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <openacc.h>
#include <cuda.h>
#include "timer.h"
int
main (int argc, char **argv)
{
CUdevice dev;
CUfunction delay;
CUmodule module;
CUresult r;
int N;
int i;
CUstream stream;
unsigned long *a, *d_a, dticks;
int nbytes;
float atime, dtime, hitime, lotime;
void *kargs[2];
int clkrate;
int devnum, nprocs;
devnum = 2;
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 (&delay, module, "delay");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleGetFunction failed: %d\n", r);
abort ();
}
nbytes = nprocs * sizeof (unsigned long);
dtime = 200.0;
dticks = (unsigned long) (dtime * clkrate);
N = nprocs;
a = (unsigned long *) malloc (nbytes);
d_a = (unsigned long *) acc_malloc (nbytes);
acc_map_data (a, d_a, nbytes);
r = cuStreamCreate (&stream, CU_STREAM_DEFAULT);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
if (!acc_set_cuda_stream (1, stream))
abort ();
stream = (CUstream) acc_get_cuda_stream (0);
if (stream != NULL)
abort ();
r = cuStreamCreate (&stream, CU_STREAM_DEFAULT);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
if (!acc_set_cuda_stream (0, stream))
abort ();
init_timers (1);
kargs[0] = (void *) &d_a;
kargs[1] = (void *) &dticks;
start_timer (0);
for (i = 0; i < N; i++)
{
r = cuLaunchKernel (delay, 1, 1, 1, 1, 1, 1, 0, stream, kargs, 0);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuLaunchKernel failed: %d\n", r);
abort ();
}
}
if (acc_async_test (0) != 0)
abort ();
/* Test unseen async-argument. */
if (acc_async_test (1) != 1)
abort ();
acc_wait_async (0, 1);
if (acc_async_test (0) != 0)
abort ();
if (acc_async_test (1) != 0)
abort ();
/* Test unseen async-argument. */
{
if (acc_async_test (2) != 1)
abort ();
acc_wait_async (2, 1);
if (acc_async_test (0) != 0)
abort ();
if (acc_async_test (1) != 0)
abort ();
if (acc_async_test (2) != 1)
abort ();
}
acc_wait (1);
atime = stop_timer (0);
if (acc_async_test (0) != 1)
abort ();
if (acc_async_test (1) != 1)
abort ();
hitime = dtime * N;
hitime += hitime * 0.02;
lotime = dtime * N;
lotime -= lotime * 0.02;
if (atime > hitime || atime < lotime)
{
fprintf (stderr, "actual time < delay time\n");
abort ();
}
acc_unmap_data (a);
fini_timers ();
free (a);
acc_free (d_a);
acc_shutdown (acc_device_nvidia);
exit (0);
}
/* { dg-output "" } */