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High-performance computing with Python (PRACE training course, online)
(Course no. 832021 in the training programme 2021 of Forschungszentrum Jülich)
This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.
- begin
- 07 Jun 2021 09:00
- end
- 11 Jun 2021 13:00
- venue
- Online
Contents:
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.
This course is a PRACE training course.
| Contents level | in hours | in % |
|---|---|---|
| Beginner's contents: | 0 h | 0 % |
| Intermediate contents: | 11 h | 62 % |
| Advanced contents: | 7 h | 38 % |
| Community-targeted contents: | 0 h | 0 % |
Prerequisites:
Good working knowledge of Python and NumPy
Target audience:
Scientists who want to use Python on supercomputers
Language:
This course is given in English.
Duration:
5 half days
Date:
7-11 June 2021, 09:00-13:00
Venue:
Online
Number of Participants:
minimum 5
Instructors:
Dr. Jan Meinke, Dr. Olav Zimmermann, JSC
Contact:
Registration:
via registration form at PRACE until 20 May (will be available in March 2021)
