High-performance computing with Python (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:
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 % |
Link to event:
PRACE training course "High-performance computing with Python" at JSC
