Interactive High-Performance Computing with Jupyter (Trainingskurs, online)
Jens Henrik Göbbert
(Kurs-Nr. 1262023 im Trainingsprogramm 2023 des Forschungszentrums Jülich)
Der Kurs findet als Online-Veranstaltung statt. Der Link zur Online-Plattform wird nur den registrierten Teilnehmer:innen bekannt gegeben.
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
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 % |
Voraussetzungen:
Experience in Python
Zielgruppe:
Scientists who want to use interactive HPC for research.
Sprache:
Der Kurs wird auf Englisch gehalten.
Dauer:
3 halbe Tage
Zeit:
25. - 27. April 2023, jeweils 09.00-13.00 Uhr
Ort:
Online
Teilnehmerzahl:
maximual 40
Referenten:
Jens Henrik Göbbert, Christian Witzler, JSC
Kontakt:
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Raum 307
Anmeldung:
Bitte melden Sie sich bis zum 10. April 2023 über das Anmeldeformular an.