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ZIH
hpcsupport
hpc-compendium
Commits
0bf3af56
Commit
0bf3af56
authored
2 years ago
by
Lars Jitschin
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Linting. Removed 'test' entry in table
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Improving JupyterHub Documentation
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doc.zih.tu-dresden.de/docs/access/jupyterhub.md
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doc.zih.tu-dresden.de/docs/access/jupyterhub.md
doc.zih.tu-dresden.de/docs/access/jupyterhub_custom_environments.md
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@@ -221,7 +221,6 @@ As of july 2022 we have a number of standard environments, namely:
| scs5_gcccore-10.2.0_python-3.8.6 | x86_64 (Intel) | |
| scs5_gcccore-10.3.0_python-3.9.5_matlab-2021b | x86_64 (Intel) | matlab |
| scs5_gcccore-8.3.0_python-3.7.4 | x86_64 (Intel) | |
| test | x86_64, ppc64le | |
With these
**standard environments**
we have tried to integrate a set of compatible software:
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@@ -282,5 +281,5 @@ Each box therein represents a so called 'Kernel'
but similarly provide basic functionality for running your use cases,
e.g. Python or R)
You can find further documentation on creating your own Kernels
[
here
](
/access
/jupyterhub_custom_environments
)
You can find further documentation on creating your own Kernels
[
here
](
.
/jupyterhub_custom_environments
.md
)
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doc.zih.tu-dresden.de/docs/access/jupyterhub_custom_environments.md
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@@ -17,6 +17,7 @@ will work. Depending on that hardware, allocate resources as follows.
## Preliminary Steps
=== "Nodes with x86_64 (Intel) CPU"
Use **one srun command** of these:
```console
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@@ -25,7 +26,9 @@ will work. Depending on that hardware, allocate resources as follows.
maria@login$ srun --partition=gpu2 --pty --ntasks=1 --cpus-per-task=2 \
--mem-per-cpu=2541 --time=08:00:00 bash -l
```
=== "Nodes with x86_64 (AMD) CPU"
Use **one srun command** of these:
```console
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@@ -34,7 +37,9 @@ will work. Depending on that hardware, allocate resources as follows.
maria@login$ srun --partition=alpha --gres=gpu:1 --pty --ntasks=1 \
--cpus-per-task=6 --mem-per-cpu=10312 --time=08:00:00 bash -l
```
=== "Nodes with ppc64le CPU"
```console
maria@login$ srun --pty --partition=ml --ntasks=1 --cpus-per-task=2 --mem-per-cpu=1443 \
--time=08:00:00 bash -l
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