Comments (1)
jirikraus
commented on July 21, 2024
Hi dkokron, thanks for your report. I am closing this issue, because I think this is not an issue with the example so the issue should be filed either with the MPI stack you are using or the PGI compiler. Feel free to reopen in case you disagree. To narrow down can you try with the CUDA-aware OpenMPI that comes with the PGI installation or with another CUDA-aware OpenMPI build? In my tests the code passes with PGI 19.05, CUDA 10.1 and the CUDA-aware OpenMPI build that comes with PGI (3.1.2). Thanks Jiri
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Related Issues (20)
- submodule is broken
- bandwidthtest.cu shows GB/s, but the math looks like MB/s HOT 1
- ERRORS: in simpleOnnx_*.cpp HOT 3
- simpleTensorCoreGEMM has errors in output when compiled with CUDA10 for Turing GPUs HOT 2
- CUDA-aware runtime error HOT 1
- CUDA-aware MPI example complains about CUDA runtime version HOT 2
- memtype_cache.c:137 UCX WARN destroying inuse address HOT 1
- Getting errors running tensor-cores example HOT 4
- [grCUDA] vulnerabiliy issues in packackage dependencies HOT 1
- fatal error: cuda_runtime.h HOT 3
- compile "TensorRT-introduction" HOT 3
- ioHelper.cpp:66:5: error: ‘onnx’ has not been declared HOT 7
- Error in simpleOnnx_1.cpp while running on jetson Nano 4 gb
- error by using cuda-aware-mpi-example, bandwidth was wrong HOT 10
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