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ZIH
hpcsupport
hpc-compendium
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1e5fa05b
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1e5fa05b
authored
1 year ago
by
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
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Add information on CUDA modules to GPU page
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@@ -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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