Learning How to program on HPC cluster (part IV: advanced python/debugging/parallel)

Efficient use of Python on the clusters

14 Nov 2024, 13:15

3h

CYCL09b (Louvain-La-Neuve)

Speakers

Nicolas Potvin (ULB) Ariel Lozano (ULB)

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 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 who thinks Python is slow.

Presentation materials

part1_CPUProfDemo.ipynb

part1_CPUProfDemo.pdf

part1_excercise.pdf

part2_multiProcDemo.ipynb

part2_multiProcDemo.pdf

part3_python_bindings.pdf