f9a89e6b9c
We used to perform team reduction on global memory allocated in the runtime and by clang. This was racy as multiple instances of a kernel, or different kernels with team reductions, would use the same locations. Since we now have the kernel launch environment, we can allocate dynamic memory per-launch, allowing us to move all the state into a non-racy place. Fixes: https://github.com/llvm/llvm-project/issues/70249
37 lines
831 B
C++
37 lines
831 B
C++
// RUN: %libomptarget-compilexx-run-and-check-generic
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// RUN: %libomptarget-compileoptxx-run-and-check-generic
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// FIXME: This is a bug in host offload, this should run fine.
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// UNSUPPORTED: aarch64-unknown-linux-gnu
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// UNSUPPORTED: aarch64-unknown-linux-gnu-LTO
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// UNSUPPORTED: x86_64-pc-linux-gnu
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// UNSUPPORTED: x86_64-pc-linux-gnu-LTO
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#include <iostream>
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#include <vector>
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#define N 8
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int main() {
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std::vector<int> avec(N);
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int *a = avec.data();
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#pragma omp parallel for
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for (int i = 0; i < N; i++) {
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a[i] = 0;
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#pragma omp target teams distribute parallel for reduction(+ : a[i])
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for (int j = 0; j < N; j++)
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a[i] += 1;
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}
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// CHECK: 8
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// CHECK: 8
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// CHECK: 8
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// CHECK: 8
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// CHECK: 8
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// CHECK: 8
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// CHECK: 8
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// CHECK: 8
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for (int i = 0; i < N; i++)
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std::cout << a[i] << std::endl;
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}
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