BinAC/Software/Jupyterlab

From bwHPC Wiki
< BinAC‎ | Software
Revision as of 16:32, 25 July 2024 by F Bartusch (talk | contribs)
Jump to navigation Jump to search

The main documentation is available via module help devel/jupyterlab on the cluster. Most software modules for applications provide working example batch scripts.


Description Content
module load devel/jupyterlab
License JupyterLab License
Links Homepage
Graphical Interface Yes

Description

JupyterLab is a web-based interactive development environment for notebooks, code, and data.

Usage

Start Jupyterlab

The module provides a job script for starting a JupyterLab instance on the BinAC inter queue. Load the module and copy the job script into your workspace:

module load devel/jupyterlab/7.2.1
cp $JUPYTERLAB_EXA_DIR/jupyterlab.pbs.template jupyterlab.pbs

You can adjust the following settings in the job script according to your needs.

#PBS -l nodes=1:ppn=1          # adjust the number of cpu cores (ppn)
#PBS -l mem=2gb
#PBS -l walltime=6:00:00

Please note the restrictions of the inter queue:

  • max. walltime: 12 hours
  • max. cores: 28
  • max jobs per user: 1

Then submit the job.

jobid=$(qsub jupyterlab.pbs)

Create SSH tunnel

The information you need to access Jupyterlab is printed in the job's standard output file. This file is named Jupyterlab.<jobid> and the following command will print the connection details: Please note that details like IP, port number, and access URL will vary.

cat JupyterLab.o${jobid}
Jupyterlab connection info

Linux Users

If you are using Linux, copy the ssh command and execute it on your local machine and authenticate yourself with second factor and password. The ssh command creates an SSH tunnel through which you can access Jupyterlab in your browser. The ssh command does not return a result. If there is no error message everything should be fine.

Windows Users

Access JupyterLab

The Jupyterlab output file also contains a direct link to your Jupyterlab:

cat JupyterLab.o11604591
[...]
Or copy and paste one of these URLs:
  [...]
  http://127.0.0.1:18617/lab?token=<your token>

Stop Jupyterlab

Add new Kernels

== Set