When

Apr 23, 2024 09:00 AM to Apr 24, 2024 01:00 PM
(Europe/Berlin / UTC200)

Where

Online

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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

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

Target audience:

Scientists who want to use interactive HPC for research.

Language:

This course is given in English.

Duration:

2 half days

Date:

23-24 April 2024, 09:00-13:00 each day

Venue:

Online

Number of Participants:

maximum 40

Instructors:

Jens Henrik Göbbert, Christian Witzler, JSC

Registration:

Please register via the registration form until 9 April 2024