Jupyter

Launching Jupyter Session

• Navigate to the Interactive Apps section.
• Select Jupyter from the list of available applications.

Loading the Environment

• Choose the Mode option, where you can select the interface:

  • Jupyterlab
  • Jupyter Notebook

• In the Conda Environment section, mention the environment name where you have installed Jupyter Notebook or Jupyterlab. For example, if the name of the environment is torch_cuda, then just type torch_cuda in the box. If you don't know how to install Jupyter Notebook or Jupyterlab in the Conda environment, check Conda Documentation and Jupyter Installation.

• Choose the path where you want to start the Jupyter session in Enter the full path of the case directory. For session in $HOME directory keep this blank.

Configuring Resources

• Specify your Slurm account/partition/qos.
• Set the maximum wall time requested.
• Choose the number of cores you need.
• If required, specify the number of GPUs.

Launching the Session

Select the Launch option after finalizing the resources. Once clicking Launch, the request will be queued, and when resources have been allocated, you will be presented with the option to connect to the session by clicking on the blue Connect to Jupyter option.