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PRACE training course "High-performance computing with Python"

(Course no. 1252018 in the training programme 2018 of Forschungszentrum Jülich)

begin
18 Jun 2018 09:00
end
19 Jun 2018 16:30
venue
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211
Target audience:
Scientists who want to use Python on supercomputers
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.

Prerequisites:
Good working knowledge of Python and NumPy
Language:
This course is given in English.
Duration:
2 days
Date:
18-19 June 2018, 9:00-16:30
Venue:
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211
Number of participants:
minimum 5
Instructors:
Dr. Jan Meinke, Dr. Olav Zimmermann, JSC
Contact:
Photo Dr. Jan Meinke
Dr. Jan Meinke
Phone: +49 2461 61-2315
email: j.meinke@fz-juelich.de
Registration:
closed



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