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Training course "High-performance computing with Python"

(Course no. 82/2014 in the training programme of Forschungszentrum Jülich)

begin
26.Jun.2014 09:00
end
27.Jun.2014 16:30
venue
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 004
Target audience:
Scientists who want to use Python on supercomputers
Contents:

Python is being increasingly used in high-performance computing projects such as GPAW. It can be used either as a high-level interface to existing HPC applications, 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.

Day 1: Using Python productively for parallel computing

  • Interactive parallel programming with IPython
  • High-performance NumPy and SciPy
  • ‘Scalable Python’ on JUQUEEN
  • mpi4py

Day 2: Python in concert with other programming languages and accelerators

  • Cython
  • f2py
  • PyCUDA
  • PyOpenCL
  • Numba
  • Pythran

This course is aimed at scientists who wish to explore the productivity gains made possible by Python for HPC.

Prerequisites:
Experience with Python and NumPy
Language:
This course is given in English,
Duration:
2 days
Date:
26-27 June 2014, 9:00-16:30
Venue:
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 004
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:
Please register with Dr. Jan Meinke until 12 June 2014.



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