This page describes how you can use Jupyter Notebook using the JupyterHub service

Step 1
After a log-in, you are redirected to the profile selection page where a single Profile can be selected.

Step 2
Choose a JupyterLab profile to use a Jupyter Notebook using the JupyterHub service.

A Profile is a pre-defined JupyterLab installation with:

• pre-installed Jupyter kernels and python packages.
• template Jupyter Notebooks in the kernel’s programming Language.
• custom environment variables, loaded modules and files.
• pre-defined Slurm settings to configure the needed hardware.
• pre - and post- scripts that allow for custom code before and after the JupyterLab Slurm job runs.
• pre-selected Slurm quota account.

Step 3
You can select the Slurm settings and quota account before submitting the Profile Job to the queue.

Step 4
Click Submit to submit the chosen JupyterLab Profile to the Slurm Workload Manager as a Slurm Job using the default settings or any changes done before submission.

This wills submit the request to start a JupyterLab instance to the Slurm HPC batch scheduler, which is followed by waiting for resources

Additional information:

List of installed Profiles

To see the installed packages in each Profile you can start it and run conda list or pip freeze in a console within the JupyterLab instance.