PRACE training course "High-performance computing with Python"
(Course no. 1112019 in the training programme 2019 of Forschungszentrum Jülich)
Scientists who want to use Python on supercomputers
Good working knowledge of Python and NumPy
This course is given in English.
17-19 June 2019, 9:00-16:30
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211
Number of participants:
Dr. Jan Meinke, Dr. Olav Zimmermann, JSC
Dr. Jan Meinke
Phone: +49 2461 61-2315
Please register until 15 May 2019 via theform at the PRACE web site
(will open on 15 February 2019)
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.