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

(Kurs-Nr. 742025 im Trainingsprogramm 2025 des Forschungszentrums Jülich)

Dieser Kurs findet als Online-Veranstaltung statt. Der Link zur Streaming-Plattform wird nur den angemeldeten Teilnehmern zur Verfügung gestellt.

Inhalt:

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

Voraussetzungen:

Experience in Python

Zielgruppe:

Scientists who want to use interactive HPC for research.

Sprache:

This course is given in English.

Dauer:

2 half days

Zeit:

April 2025, exact day tba

Ort:

Online

Anzahl der Teilnehmenden:

maximum 40

Referent:

Jens Henrik Göbbert, JSC

Kontakt:

Jens Henrik Göbbert

PI in Helmholtz Information Program 1, Topic 1

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

Gebäude 16.4 /
Raum 307

+49 2461/61-96498

E-Mail

Anmeldung:

Zum Anmeldeformular: https://indico3-jsc.fz-juelich.de/event/217/