2018

Efficient use of Python on the clusters

by Ariel Lozano (ULiege)

Europe/Brussels
DAO (Vinci building)

DAO

Vinci building

Vinci building, room A-182, Bâtiment Vinci, Place du Levant 1. More info on http://www.ceci-hpc.be/training.html#practicalinfo
Description

The use of Python for scientific computing is rising thanks to modules such as numpy, scipy and mathplotlib. This session explores the efficient uses of Python in that context for situations where numpy and co. are of less use. It assumes a working knowledge of Python. 

Contents:

  • Installing libraries
  • Numpy
  • Scipy
  • Matplotlib
  • MPI python
  • Multithreading
  • Compiling

Prerequisite:

  • Being able to use SSH with private keys 
  • Being familiar with a text editor 
  • Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)
  • Working knowledge of Python

Type: Hands-on
Target audience: Confirmed Python user
Must: This session is a must-have for anyone thinks Python is slow.

Organized by

UCLouvain/CISM

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