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Commit 1e5fa05b authored by Martin Schroschk's avatar Martin Schroschk
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Merge branch 's3248973--tu-dresden.de-preview-patch-05592' into 'preview'

Add information on CUDA modules to GPU page

Closes #573

See merge request !1031
parents 529761c2 0b351162
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2 merge requests!1032Automated merge from preview to main,!1031Add information on CUDA modules to GPU page
...@@ -6,6 +6,24 @@ The full hardware specifications of the GPU-compute nodes may be found in the ...@@ -6,6 +6,24 @@ The full hardware specifications of the GPU-compute nodes may be found in the
[HPC Resources](../jobs_and_resources/hardware_overview.md#hpc-resources) page. [HPC Resources](../jobs_and_resources/hardware_overview.md#hpc-resources) page.
Note that the clusters may have different [modules](modules.md#module-environments) available: Note that the clusters may have different [modules](modules.md#module-environments) available:
E.g. the available CUDA versions can be listed with
```bash
marie@compute$ module spider CUDA
```
Note that some modules use a specific CUDA version which is visible in the module name,
e.g. `GDRCopy/2.1-CUDA-11.1.1` or `Horovod/0.28.1-CUDA-11.7.0-TensorFlow-2.11.0`.
This especially applies to the optimized CUDA libraries like `cuDNN`, `NCCL` and `magma`.
!!! important "CUDA-aware MPI"
When running CUDA applications using MPI for interprocess communication you need to additionally load the modules
that enable CUDA-aware MPI which may provide improved performance.
Those are `UCX-CUDA` and `UCC-CUDA` which supplement the `UCX` and `UCC` modules respectively.
Some modules, like `NCCL`, load those automatically.
## Using GPUs with Slurm ## Using GPUs with Slurm
For general information on how to use Slurm, read the respective [page in this compendium](../jobs_and_resources/slurm.md). For general information on how to use Slurm, read the respective [page in this compendium](../jobs_and_resources/slurm.md).
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