Interactive supercomputing with JupyterLab

With JupyterLab, KIT researchers can now very easily interact with the SCC's high-performance computers directly from any workstation using a web browser. This also opens up new possibilities for courses.

Ein JupyterLab Notebook, das auf dem Supercomputer Piz Daint läuft (copyright cscs.ch)

The project Jupyter [1] started some years ago. It evolved into a project that today represents a complete open source ecosystem for programming, data exploration and code execution. Most importantly, Jupyter offers a new way of supercomputing that allows interactive work with kernels, text editors and data visualization on HPC systems.

Since the end of October, SCC offers Jupyter as a service [2]. In addition to the classic access via SSH, interactive access via web browser to all HPC systems of the SCC is now also possible. For the Tier-3 system, bwUniCluster2.0 + GFB-HPC, the new AI/ML-GPUs of the HAICORE partition and the Tier-2 inventory system ForHLR II, dedicated queues are reserved for Jupyter.

This minimizes waiting times and allows especially new users of our HPC systems a low entry threshold.

To use Jupyter on the HPC resources of the SCC the respective access requirements apply. Registration of access via bwidm.scc.kit.edu/ is required. The Jupyter service is only available within the KIT network. If the service is to be used from outside, a VPN connection to the KIT network must first be established.


[1] A detailed documentation of the Jupyter project can be found at jupyter.readthedocs.io

[2] Further information on the Jupyter service can be found in the service description


Contact at SCC: Jennifer Buchmüller, Samuel Braun


Achim Grindler