PRACE training course "Interactive High-Performance Computing"
(Course no. 1132019 in the training programme 2019 of Forschungszentrum Jülich)
Scientists who want to use interactive HPC for research.
Experience in Python
This course is given in English.
9-10 April 2019, 09:00-16:30
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211
Number of participants:
Jens Henrik Göbbert, Alice Grosch, JSC
Jens Henrik Göbbert
Phone: +49 2461 61-96498
Please register until 15 March 2019 via theform at the PRACE web site
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:
- Opportunities and challenges of interactive HPC
- Functionality and interaction of the necessary components
- Introduction to the most important libraries
- Coupling and control of simulations
- Visualizing results interactively
This course is a PRACE training course.