mirror of
https://github.com/autc04/Retro68.git
synced 2024-12-11 19:49:32 +00:00
145 lines
3.0 KiB
C
145 lines
3.0 KiB
C
/* { 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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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 delay2;
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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;
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unsigned long **a, **d_a, *tid, ticks;
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int nbytes;
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void *kargs[3];
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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 (&delay2, module, "delay2");
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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 = sizeof (int);
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ticks = (unsigned long) (200.0 * clkrate);
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N = nprocs;
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streams = (CUstream *) malloc (N * sizeof (void *));
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a = (unsigned long **) malloc (N * sizeof (unsigned long *));
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d_a = (unsigned long **) malloc (N * sizeof (unsigned long *));
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tid = (unsigned long *) malloc (N * sizeof (unsigned long));
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for (i = 0; i < N; i++)
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{
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a[i] = (unsigned long *) malloc (sizeof (unsigned long));
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*a[i] = N;
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d_a[i] = (unsigned long *) acc_malloc (nbytes);
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tid[i] = i;
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acc_map_data (a[i], d_a[i], nbytes);
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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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for (i = 0; i < N; i++)
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{
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kargs[0] = (void *) &d_a[i];
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kargs[1] = (void *) &ticks;
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kargs[2] = (void *) &tid[i];
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r = cuLaunchKernel (delay2, 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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ticks = (unsigned long) (50.0 * clkrate);
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}
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acc_wait_all_async (0);
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for (i = 0; i < N; i++)
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{
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acc_copyout (a[i], nbytes);
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if (*a[i] != i)
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abort ();
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}
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free (streams);
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for (i = 0; i < N; i++)
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{
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free (a[i]);
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}
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free (a);
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free (d_a);
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free (tid);
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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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