[libgomp, testsuite] Fix insufficient resources in test-cases
When running libgomp test-case broadcast-many.c on an nvptx accelerator (T400, driver version 470.86), I run into: ... libgomp: The Nvidia accelerator has insufficient resources to launch \ 'main$_omp_fn$0' with num_workers = 32 and vector_length = 32; \ recompile the program with 'num_workers = x and vector_length = y' on \ that offloaded region or '-fopenacc-dim=:x:y' where x * y <= 896. FAIL: libgomp.oacc-c/../libgomp.oacc-c-c++-common/broadcast-many.c \ -DACC_DEVICE_TYPE_nvidia=1 -DACC_MEM_SHARED=0 -foffload=nvptx-none \ -O0 execution test ... The error does not occur when using GOMP_NVPTX_JIT=-O0. Fix this by using 896 / 32 == 28 workers for ACC_DEVICE_TYPE_nvidia. Likewise for some other test-cases. Tested libgomp on x86_64 with nvptx accelerator. libgomp/ChangeLog: 2022-01-27 Tom de Vries <tdevries@suse.de> * testsuite/libgomp.oacc-c-c++-common/broadcast-many.c: Reduce num_workers for nvidia accelerator to fix libgomp error 'insufficient resources'. * testsuite/libgomp.oacc-c-c++-common/par-loop-comb-reduction-4.c: Same. * testsuite/libgomp.oacc-c-c++-common/reduction-7.c: Same.
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@@ -5,6 +5,13 @@
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#include <assert.h>
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#include <stdio.h>
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#if ACC_DEVICE_TYPE_nvidia
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/* To avoid 'libgomp: The Nvidia accelerator has insufficient resources'. */
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#define NUM_WORKERS 28
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#else
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#define NUM_WORKERS 32
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#endif
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#define LOCAL(n) double n = input;
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#define LOCALS(n) LOCAL(n##1) LOCAL(n##2) LOCAL(n##3) LOCAL(n##4) \
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LOCAL(n##5) LOCAL(n##6) LOCAL(n##7) LOCAL(n##8)
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@@ -23,7 +30,7 @@ int main (void)
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int ret;
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int input = 1;
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#pragma acc parallel num_gangs(1) num_workers(32) copyout(ret)
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#pragma acc parallel num_gangs(1) num_workers(NUM_WORKERS) copyout(ret)
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{
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int w = 0;
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LOCALS2(h);
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@@ -1,5 +1,12 @@
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#include <assert.h>
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#if ACC_DEVICE_TYPE_nvidia
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/* To avoid 'libgomp: The Nvidia accelerator has insufficient resources'. */
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#define NUM_WORKERS 24
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#else
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#define NUM_WORKERS 32
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#endif
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/* Test of reduction on both parallel and loop directives (workers and vectors
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together in gang-partitioned mode, float type, multiple reductions). */
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@@ -13,7 +20,8 @@ main (int argc, char *argv[])
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for (i = 0; i < 32768; i++)
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arr[i] = i % (32768 / 64);
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#pragma acc parallel num_gangs(32) num_workers(32) vector_length(32) \
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#pragma acc parallel \
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num_gangs(32) num_workers(NUM_WORKERS) vector_length(32) \
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reduction(+:res) reduction(max:mres) copy(res, mres)
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{
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#pragma acc loop gang /* { dg-warning "nested loop in reduction needs reduction clause for 'm\?res'" "TODO" } */
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@@ -181,6 +181,12 @@ void gwv_np_3()
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assert (res == hres);
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}
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#if ACC_DEVICE_TYPE_nvidia
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/* To avoid 'libgomp: The Nvidia accelerator has insufficient resources'. */
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#define NUM_WORKERS 28
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#else
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#define NUM_WORKERS 32
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#endif
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/* Test of reduction on loop directive (gangs, workers and vectors, multiple
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non-private reduction variables, float type). */
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@@ -194,7 +200,7 @@ void gwv_np_4()
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for (i = 0; i < 32768; i++)
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arr[i] = i % (32768 / 64);
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#pragma acc parallel num_gangs(32) num_workers(32) vector_length(32)
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#pragma acc parallel num_gangs(32) num_workers(NUM_WORKERS) vector_length(32)
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{
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#pragma acc loop gang reduction(+:res) reduction(max:mres)
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for (j = 0; j < 32; j++)
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@@ -235,6 +241,7 @@ void gwv_np_4()
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assert (mres == hmres);
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}
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#undef NUM_WORKERS
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/* Test of reduction on loop directive (vectors, private reduction
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variable). */
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