Interactive High-Performance Computing with Jupyter (PRACE training course, online)
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
- Coupling and control of simulations
- Interactive & in-situ visualization
- Simulation dashboards
This course is a PRACE training course.
| 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 % |
Link to event:
PRACE training course "Interactive High-Performance Computing with Jupyter" at JSC
