The Jülich Supercomputing Centre will organize an online course on high-performance computing (HPC) with JupyterLab on 28 and 29 April 2026.
Open-source software such as Jupyter or JupyterLab combines interactive and reproducible computing while meeting the challenges of supporting a wide range of software workflows. Even on supercomputers, the method enables the creation of documents that combine live code with narrative text, mathematical equations, visualizations, interactive controls, and other extensive output. However, a number of challenges must be addressed to make existing workflows ready for interactive HPC. With so many possibilities, it's easy to lose sight of the big picture. This course provides a detailed introduction to interactive HPC.
The following topics are covered in the course: Introduction to Jupyter, Jupyter kernel customization, JupyterLab for custom services, and parallel computing using JupyterLab.
