Interactive High-Performance Computing with JupyterLab (training course, online)
Jens Henrik Göbbert
(Kurs Nr. 1762026 im Trainingsprogramm 2026 des Forschungszentrums Jülich)
Der Kurs findet als Online-Veranstaltung statt. Der Link zur Online-Plattform wird nur den registrierten Teilnehmer:innen bekannt gegeben. Der Kurs findet in Englisch statt.
Course Content:
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
Contents level | in hours | in % |
|---|---|---|
Beginner's contents: | 2.4 | 20 % |
Intermediate contents: | 9.6 | 80 % |
Advanced contents: | 0 | 0 % |
Community-targeted contents: | 0 | 0 % |
Prerequisites:
Experience in Python
A personal institutional email address (university/research institution, government agency, organisation, or company) is required to register for JSC training courses. If you don't have an institutional email address, please get in touch with the contact person for this course.
Target Audience:
Scientists who want to use interactive HPC for research.
Language:
This course is given in English.
Duration:
2 half days
Dates:
28-29 April 2026, 09:00-13:00 each day
Venue:
Online
Number of Participants:
Maximum 40
Instructors:
Jens Henrik Göbbert, JSC
Registration:
Please register here: https://indico3-jsc.fz-juelich.de/event/278/
Contact:
Jens Henrik Göbbert
Deputy Head of Algorithms, Tools and Methods Labs Visualization & Interactive HPC PI in Helmholtz Information Program 1, Topic 1
- Jülich Supercomputing Centre (JSC)
Raum 307