This course will take place as an online event. The link to the online platform will be provided to the accepted registrants only.
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 part of the course:
- Introduction to Jupyter
- Jupyter kernels customization
- JupyterLab for custom services
- Parallel computing using JupyterLab
Language:
This course is given in English.
Date:
23-24 April 2024, 09:00-13:00 each day
Further information:
please visit the JSC webpage https://go.fzj.de/2024-interactive-hpc
Instructors:
Jens Henrik Göbbert, JSC