Learning How to program on HPC cluster (part I: Scientific software, interpreted languages, compilers)

Contribution List

1. Introduction to scientific software development and deployment

Damien François (UCLouvain/CISM)

07/11/2023, 09:30

Often, the workflow for researchers is to acquire a piece of software, and either modify it, or wrap it in scripts, or simply install it on the clusters, or all of that at the same time, on many clusters. This session will introduce to the tools that can make this whole process...

2. Introduction to scripting and interpreted languages (Python, R, Octave)

Damien François (UCLouvain/CISM)

07/11/2023, 10:30

Interpreted languages are often thought as less performance-oriented than compiled languages. Yet, they are often much easier to use and the time spent developing code is much lower than with compiled languages, and many tools are available to make them nearly as performant as compiled...

3. How to speed up your code at low cost?

Bernard Van Renterghem (UCL CISM)

07/11/2023, 14:00

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The choice of the compiler (many clusters have several, a.o. gcc, intel, etc.) is important, as is the choice of the compiling options. This sessions reviews the strengths and weaknesses of the compilers and their optimal use.