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PATC training course "High-performance computing with Python"

(Course no. 104/2017 in the training programme of Forschungszentrum Jülich)

begin
12 Jun 2017 09:00
end
13 Jun 2017 16:30
venue
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211

This course is fully booked.

 

Target audience:
Scientists who want to use Python on supercomputers
Contents:

Python is being 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 session. We will show how Python can be used on parallel architectures and how performance critical parts of the kernel can be optimized using various tools.

For using Python productively for parallel computing, these topics will be covered:

  • Interactive parallel programming with IPython
  • Profiling and optimization
  • High-performance NumPy and SciPy, 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 Advanced Training Centres (PATC) course.

Prerequisites:
Experience with Python and NumPy
Language:
This course is given in English,
Duration:
2 days
Date:
12-13 June 2017, 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:
The course is overbooked. Registration has been closed.
https://events.prace-ri.eu/event/567/registration/register#/register



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