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.
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.
Good working knowledge of Python and NumPy
Scientists who want to use Python on supercomputers
This course is given in English.
5 half days
12-16 June 2023, 09:00-13:00
Number of Participants:
Dr. Jan Meinke, Dr. Olav Zimmermann, JSC
Please register via the registration form until 25 May 2023.