Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
HPC Profile of Target Audience
Application Users
Application Developers
Language of Instruction
Other Information
Organiser
Supporting Project(s)
PRACE
Event/Course Description
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.