Interactive High-Performance Computing with JupyterLab (training course, online)

(Course no. 742025 in the training programme 2025 of Forschungszentrum Jülich)

This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.

Contents:

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software Jupyter or JupyterLab, a way has been available for some time now that combines interactive with reproducible computing while at the same time meeting the challenges of support for the wide range of different 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 mastered in order to make existing workflows ready for interactive high-performance computing. With so many possibilities, it's easy to lose sight of the big picture. This course provides a detailed introduction to interactive high-performance computing.

The following topics are covered:

• Introduction to Jupyter
• Parallel computing using Jupyter
• Interactive & in-situ visualization
• From ipywidgets to dashboards

Prerequisites:

Experience in Python

Target audience:

Scientists who want to use interactive HPC for research.

Language:

This course is given in English.

Duration:

2 half days

Date:

29.-30. April 2025

Venue:

Online

Number of Participants:

maximum 40

Instructors:

Jens Henrik Göbbert, JSC

Contact:

Jens Henrik Göbbert

PI in Helmholtz Information Program 1, Topic 1

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 16.4 /
Room 307

+49 2461/61-96498

E-Mail

Registration:

You can find the registration form here: https://indico3-jsc.fz-juelich.de/event/217/