This course will take place as an online event. The link to the streaming platform will be provided to the accepted registrants only.

Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly.

This course combines lectures and hands-on sessions. We will show how Python can be used on parallel architectures and how to optimize critical parts of the kernel using various tools.

The following topics will be covered:

Interactive parallel programming with IPython
Profiling and optimization
High-performance NumPy
Just-in-time compilation with numba
Distributed-memory parallel programming with Python and MPI
Bindings to other programming languages and HPC libraries
Interfaces to GPUs

This course is aimed at scientists who wish to explore the productivity gains made possible by Python for HPC.

Prerequisites: Good working knowledge of Python and NumPy

Application
Applicants will be notified, whether they are accepted for participitation.

Instructors: Dr. Jan Meinke, Dr. Olav Zimmermann, JSC

Contact
For any questions concerning the course please send an e-mail to [email protected]
https://events.prace-ri.eu/event/1379/