Comments (3)
According to the first response, nvidia-smi
is not expected to be available on the login node since only the compute node is guaranteed to have GPUs . Further discussion on the Clang compilation is still in-progress.
from llnl-work-notes.
It's confirmed by IT support that the Clang OpenMP offloading has some issue on Pascal. They will check it today.
On Surface, which has NVIDIA Tesla K40 GPUs, our OpenMP code works fine with Clang 10.
from llnl-work-notes.
Now the issue has been solved. With the extra parameter -Xopenmp-target -march=sm_60
, the following command can compile a working executable file on Pascal.
clang -fopenmp -fopenmp-targets=nvptx64 -Xopenmp-target -march=sm_60 stencil_metadirective.c -o pnode.out
from llnl-work-notes.
Related Issues (20)
- Test Stencil on Pascal HOT 3
- Create a model for the computing that has multiple independent stages or portions HOT 3
- Create a metadirective guiding model named constant performance modeling HOT 1
- Test 2D stencil on Surface HOT 1
- Compare the performance of CPM HOT 1
- Compare FPM performance HOT 2
- Add CPM, FPM and ODDC related works to Overleaf
- Regenerate CPM and FPM testing results on Surface, Pascal and Lassen HOT 1
- Add the improvements to FreeCC since last publication to Overleaf HOT 1
- Provide a new metric to compare the models being evaluated HOT 9
- Add a feature in FreeCC to pass a file from container to the host HOT 1
- Find in ROSE where exactly Clang is called to create its own AST
- Revise ODDC description HOT 1
- Add Clang/LLVM background to FreeCC paper on Overleaf HOT 1
- Add ROSE background to FreeCC paper on Overleaf HOT 1
- Complete the TODO items in the FreeCC paper HOT 1
- Review the pull requests to FreeCC HOT 1
- Read the modeling papers from Dr. Liao and maybe use some of them
- Regenerate the table of detailed results HOT 1
- Rearrange the diagrams of testing results HOT 1
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from llnl-work-notes.