General information

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.


- 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


Good working knowledge of Python and NumPy

High-performance computing with Python
7-11 June 2021
Online event

PRACE training course on High-performance computing with Python

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