mirror of
https://github.com/autc04/Retro68.git
synced 2024-08-17 20:29:49 +00:00
212 lines
3.9 KiB
C
212 lines
3.9 KiB
C
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/* { dg-do run { target openacc_nvidia_accel_selected } } */
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/* { dg-additional-options "-lcuda" } */
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#include <stdio.h>
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#include <stdlib.h>
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#include <unistd.h>
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#include <openacc.h>
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#include <cuda.h>
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#include "timer.h"
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int
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main (int argc, char **argv)
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{
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CUdevice dev;
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CUfunction delay;
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CUmodule module;
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CUresult r;
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int N;
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int i;
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CUstream *streams, stream;
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unsigned long *a, *d_a, dticks;
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int nbytes;
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float atime, dtime;
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void *kargs[2];
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int clkrate;
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int devnum, nprocs;
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acc_init (acc_device_nvidia);
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devnum = acc_get_device_num (acc_device_nvidia);
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r = cuDeviceGet (&dev, devnum);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuDeviceGet failed: %d\n", r);
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abort ();
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}
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r =
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cuDeviceGetAttribute (&nprocs, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
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dev);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
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abort ();
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}
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r = cuDeviceGetAttribute (&clkrate, CU_DEVICE_ATTRIBUTE_CLOCK_RATE, dev);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
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abort ();
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}
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r = cuModuleLoad (&module, "subr.ptx");
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuModuleLoad failed: %d\n", r);
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abort ();
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}
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r = cuModuleGetFunction (&delay, module, "delay");
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuModuleGetFunction failed: %d\n", r);
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abort ();
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}
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nbytes = nprocs * sizeof (unsigned long);
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dtime = 500.0;
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dticks = (unsigned long) (dtime * clkrate);
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N = nprocs;
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a = (unsigned long *) malloc (nbytes);
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d_a = (unsigned long *) acc_malloc (nbytes);
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acc_map_data (a, d_a, nbytes);
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streams = (CUstream *) malloc (N * sizeof (void *));
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for (i = 0; i < N; i++)
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{
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streams[i] = (CUstream) acc_get_cuda_stream (i);
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if (streams[i] != NULL)
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abort ();
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r = cuStreamCreate (&streams[i], CU_STREAM_DEFAULT);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuStreamCreate failed: %d\n", r);
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abort ();
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}
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if (!acc_set_cuda_stream (i, streams[i]))
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abort ();
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}
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init_timers (1);
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kargs[0] = (void *) &d_a;
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kargs[1] = (void *) &dticks;
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stream = (CUstream) acc_get_cuda_stream (N);
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if (stream != NULL)
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abort ();
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r = cuStreamCreate (&stream, CU_STREAM_DEFAULT);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuStreamCreate failed: %d\n", r);
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abort ();
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}
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if (!acc_set_cuda_stream (N, stream))
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abort ();
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start_timer (0);
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for (i = 0; i < N; i++)
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{
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r = cuLaunchKernel (delay, 1, 1, 1, 1, 1, 1, 0, streams[i], kargs, 0);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuLaunchKernel failed: %d\n", r);
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abort ();
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}
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}
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acc_wait_all_async (N);
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for (i = 0; i <= N; i++)
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{
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if (acc_async_test (i) != 0)
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abort ();
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}
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acc_wait (N);
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for (i = 0; i <= N; i++)
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{
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if (acc_async_test (i) != 1)
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abort ();
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}
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atime = stop_timer (0);
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if (atime < dtime)
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{
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fprintf (stderr, "actual time < delay time\n");
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abort ();
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}
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start_timer (0);
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stream = (CUstream) acc_get_cuda_stream (N + 1);
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if (stream != NULL)
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abort ();
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r = cuStreamCreate (&stream, CU_STREAM_DEFAULT);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuStreamCreate failed: %d\n", r);
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abort ();
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}
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if (!acc_set_cuda_stream (N + 1, stream))
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abort ();
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acc_wait_all_async (N + 1);
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acc_wait (N + 1);
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atime = stop_timer (0);
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if (0.10 < atime)
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{
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fprintf (stderr, "actual time too long\n");
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abort ();
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}
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start_timer (0);
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acc_wait_all_async (N);
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acc_wait (N);
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atime = stop_timer (0);
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if (0.10 < atime)
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{
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fprintf (stderr, "actual time too long\n");
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abort ();
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}
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acc_unmap_data (a);
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fini_timers ();
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free (streams);
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free (a);
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acc_free (d_a);
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acc_shutdown (acc_device_nvidia);
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exit (0);
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}
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/* { dg-output "" } */
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