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Jupyter Notebook

Jupyter Notebook (formerly IPython Notebooks) is a web-based interactive computational environment for creating notebook documents.

Run Jupyter Notebook on Vega

To run and use Jupyter Notebook on Vega please follow the instruction below:

  • Login to Vega gpulogin node

  • Book a compute node on Vega login node

salloc -n 1 --gres=gpu:1 --mem=40G --partition=gpu -t 4:00:00

The output of this command will show which gpu node is assigned. In this case allocated node is gn03.

[user@vglogin0005 ~]$ salloc -n 1 --gres=gpu:1 --mem=40G --partition=gpu -t 4:00:00
salloc: Pending job allocation 24529170
salloc: job 24529170 queued and waiting for resources
salloc: job 24529170 has been allocated resources
salloc: Granted job allocation 24529170
salloc: Waiting for resource configuration
salloc: Nodes gn03 are ready for job
bash-4.4$
  • Login into the compute node from the login node
ssh gnXX

replace gnXX with the name of the compute node that was allocated to your job.

bash-4.4$ ssh gn03

The output below shows conection to gnXX (gn03).

The authenticity of host 'gn03 (<no hostip for proxy command>)' can't be established.
ECDSA key fingerprint is SHA256:Tso0v66J1JxJ/sgsbP8zAyVWhbfO9BzFsapna1tHFrc.
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
Warning: Permanently added 'gn03' (ECDSA) to the list of known hosts.
[user@gn03 ~]$
  • Load modules
module load Anaconda3
  • Run Jupyter lab
jupyter-notebook --port=7000 --ip=gn03 --no-browser

You should get token, like is shown below:

http://127.0.0.1:7000/?token=d741b8da1ce193bbc88aa719b80fe0527750d2bec9ac365e

This token is need to login in on Jupyter Notebook via local browser.

  • Open a new tab terminal and tunnel to the node

For Windows users using puTTy:

Add Source Port: 8200

Add Destination: gn03:7000

PuTTY configuration tunnels

For Linux and MAC users, use following command:

ssh -N -f -L 8200:gnXX:7000 <you-username>@vglogin0005.vega.izum.si
  • Open your browser and enter the address

http://localhost:8200/?token=<your-token>

Additional information on link.