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Jupyter on Slurm

Run JupyterLab interactively on a compute node via SSH port forwarding. For a simpler browser-based experience, see PowerIDE.

Step 1: Start an Interactive Job

srun -p <partition-name> -A <account-name> --pty bash

Replace <partition-name> and <account-name> with your values from check_my_partitions. Note the compute node name you land on (e.g. compute-0-62) — you'll need it later.

Step 2: Load the Jupyter Module

module load mamba-env158/jupyter

Step 3: Start JupyterLab

jupyter lab --ip=* --port=8892 --no-browser

Once started, you'll see output containing a URL with a token:

http://localhost:8892/lab?token=<token>

Copy the full URL including the token.

Step 4: SSH Port Forwarding

Open a new terminal on your local machine and run:

ssh -N -L 8892:<compute-node-name>:8892 <username>@slurmlogin.tau.ac.il

Replace <compute-node-name> with the node from Step 1 (e.g. compute-0-62) and <username> with your TAU username. Keep this terminal open.

Step 5: Open in Browser

Paste the URL from Step 3 into your browser:

http://localhost:8892/lab?token=<token>

Step 6: Closing

When finished, press Ctrl+C in the interactive session to stop JupyterLab, then:

exit

Also close the SSH tunnel terminal.

Notes

  • If port 8892 is in use, pick any other free port — use the same number in both the jupyter lab command and the SSH tunnel
  • The SSH tunnel must stay open while you work
  • For a simpler experience without SSH tunneling, use PowerIDE instead
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