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[PR88495] An OpenACC async queue is always synchronized with itself
An OpenACC async queue is always synchronized with itself, so invocations like "#pragma acc wait(0) async(0)", or "acc_wait_async (0, 0)" don't make a lot of sense, but are still valid. libgomp/ PR libgomp/88495 * plugin/plugin-nvptx.c (nvptx_wait_async): Don't refuse "identical parameters". * testsuite/libgomp.oacc-c-c++-common/asyncwait-nop-1.c: Update. * testsuite/libgomp.oacc-c-c++-common/lib-80.c: Remove. From-SVN: r267152
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@ -1,5 +1,11 @@
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2018-12-14 Thomas Schwinge <thomas@codesourcery.com>
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PR libgomp/88495
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* plugin/plugin-nvptx.c (nvptx_wait_async): Don't refuse
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"identical parameters".
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* testsuite/libgomp.oacc-c-c++-common/asyncwait-nop-1.c: Update.
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* testsuite/libgomp.oacc-c-c++-common/lib-80.c: Remove.
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PR libgomp/88484
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* oacc-parallel.c (GOACC_wait): Correct handling for "async >= 0".
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* testsuite/libgomp.oacc-c-c++-common/asyncwait-nop-1.c: New file.
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@ -1617,8 +1617,9 @@ nvptx_wait_async (int async1, int async2)
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necessarily have to exist already. */
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s2 = select_stream_for_async (async2, self, true, NULL);
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/* A stream is always synchronized with itself. */
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if (s1 == s2)
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GOMP_PLUGIN_fatal ("identical parameters");
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return;
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e = (CUevent *) GOMP_PLUGIN_malloc (sizeof (CUevent));
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@ -51,9 +51,6 @@ main ()
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{
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for (size_t j = 0; j < values_n; ++j)
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{
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if (values[i] == values[j])
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continue;
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#pragma acc parallel wait (values[i]) async (values[j])
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;
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#pragma acc wait (values[i]) async (values[j])
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@ -1,135 +0,0 @@
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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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CUstream stream;
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int N;
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int i;
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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 = 200.0;
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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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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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acc_set_cuda_stream (1, stream);
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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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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, stream, 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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fprintf (stderr, "CheCKpOInT\n");
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acc_wait_async (1, 1);
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acc_wait (1);
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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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acc_unmap_data (a);
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fini_timers ();
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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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return 0;
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}
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/* { dg-output "CheCKpOInT(\n|\r\n|\r).*" } */
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/* { dg-output "identical parameters" } */
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/* { dg-shouldfail "" } */
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