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Jupyter is an interactive computing environment which lets you execute notebooks which can mix code, text, graphics, and LaTeX all in a single document. There are different ways to use Jupyter from Albedo listed bellow.
JupyterHub
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We are currently working on an experimental JupyterHub which will allow you to log on to the login nodes and run notebooks directly from the browser. If you want to test this out, you can try here: http://albedo0.dmawi.de:8000 Note that VPN is required! Currently access is provided only by request, please open a ticket on hpc@awi.de to get on the list during the testing phase.
You will be presented with a login page, and after login, with a selection of job profiles. You can either run your notebook on a login node (not recommended), a compute node, or a GPU node. In case of a compute node or GPU node, yu need to specify which computing account SLURM should use. A list of available computing accounts is provided for you. Additionally, in the case of a GPU node, you need to specify which type of GPU you want to use (A40 or A100) and how many GPUs you wish to use.
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See Jupyterhub on Albedo.
JupyterLab from a login node
Please, read until the end of this section, the last step is really important for things to work. Load the analysis-toolbox:
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[mandresm@albedo1:~]$ module load conda
[mandresm@albedo1:~]$ module load analysis-toolbox
[mandresm@albedo1:~]$ jupyter notebook --no-browser --ip=0.0.0.0
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[I 15:26:36.310 NotebookApp] Jupyter Notebook 6.5.3 is running at:
[I 15:26:36.310 NotebookApp] http://albedo1:8891/?token=asdasdads
[I 15:26:36.310 NotebookApp] or http://127.0.0.1:8891/?token=asdasdasd
[I 15:26:36.310 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:26:36.313 NotebookApp]
To access the notebook, open this file in a browser:
file:///albedo/home/mandresm/.local/share/jupyter/runtime/nbserver-3890270-open.html
Or copy and paste one of these URLs:
http://albedo1:8891/?token=asdasdaas
or http://127.0.0.1:8891/?token=asdasda |
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mandresm@albedo1:~$ salloc --partition=gpu --gpus=1 -A computing.computing --time=00:30:00
salloc: Pending job allocation 6526219
salloc: job 6526219 queued and waiting for resources
salloc: job 6526219 has been allocated resources
salloc: Granted job allocation 6526219
salloc: Waiting for resource configuration
salloc: Nodes gpu-001 are ready for job
mandresm@gpu-001:~$ export XDG_RUNTIME_DIR="/tmp/tmp_$SLURM_JOBID"
mandresm@gpu-001:~$ module load conda
mandresm@gpu-001:~$ module load analysis-toolbox
mandresm@gpu-001:~$ jupyter notebook --no-browser --ip=0.0.0.0
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[I 15:37:11.953 NotebookApp] Serving notebooks from local directory: /albedo/home/mandresm
[I 15:37:11.953 NotebookApp] Jupyter Notebook 6.5.3 is running at:
[I 15:37:11.953 NotebookApp] http://gpu-001:8888/?token=123
[I 15:37:11.953 NotebookApp] or http://127.0.0.1:8888/?token=123
[I 15:37:11.953 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:37:11.958 NotebookApp]
To access the notebook, open this file in a browser:
file:///albedo/home/mandresm/.local/share/jupyter/runtime/nbserver-698858-open.html
Or copy and paste one of these URLs:
http://gpu-001:8888/?token=123
or http://127.0.0.1:8888/?token=123 |
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