Learning How to program on HPC cluster (part IV: Python for HPC, Advanced Julia)

Thursday 16 Nov 2023, 09:30 → 17:30 Europe/Brussels

S08 (Namur)

Python/Julai are scripting languages used in many scientific software. In this session, we will cover advanced usage on HPC.
Contents: Efficient use of Julia on the clusters Efficient use of Python on the clusters	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.) Type: Hands-on Target audience: Rookie programmer Must: This session is a nice-to-have for those who are using Python for science

09:30 → 12:30 Efficient use of Python on the clusters

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 thinks Python is slow.

Speakers: Ariel Lozano (ULB), Nicolas Potvin (ULB département informatique)

part1_CPUProfDemo.ipynb

part1_CPUProfDemo.pdf

part2_python4hpc.pdf

part3_multiProcDemo.ipynb

part3_multiProcDemo.pdf

14:00 → 16:45 Julia for HPC

Being specifically designed with numerical computing in mind, Julia natively supports parallel computing in its standard library, as well as a number of third party libraries. The goal of this advanced session is to cover important features for HPC, such as benchmarking code and parallelism.

Contents:

• Benchmarking and Profiling Julia code
• Parallel Programming in the standard library
• Third Party Libraries
• Running Julia on the cluster

 

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.)

Type: Hands-on
Target audience: Rookie programmer
Must: This session is a nice-to-have for those who need to develop fast scientific software.

Speaker: Cédric Simal (Université de Namur)

GitHub repository