High-performance computing with Python (training course, online)
Dr. Jan Meinke
(Course no.1522023 in the training programme 2023 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.
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.
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:
12-16 June 2023, 09:00-13:00
Venue:
Online
Number of Participants:
minimum 5
Instructors:
Dr. Jan Meinke, Dr. Olav Zimmermann, JSC
Contact:
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 4012
Registration
Please register via the registration form until 25 May 2023.