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Resources | PATH/WHERE | Remark |
|---|---|---|
CUDA from OS |
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CUDA Containers |
| https://cseunsw.atlassian.net/wiki/spaces/DICE/pages/135725067/Software+and+Containers#Apptainer |
CUDA Module |
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Conda/python Environments |
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Submit GPU Job
| Info |
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The job scheduler allocates GPU resources on a semi best-effort basis. If it cannot allocate the requested number of GPUs (usually due to minor hardware failures), it will still dispatch the job to run. This approach helps to avoid wasting the user's queued time. It is up to the user or job to handle this at the application level (such as exit anyway, or switch to use CPU) |
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