Move your R and Python workloads to HPC efficiently and confidently
Best practices for data science on HPC
16 okt. 2026 09:00 - 13:00
There are many good reasons to run data science workloads on a High Performance Computing (HPC) system. However, the transition from a laptop to an HPC system can be daunting. This training will help you make that transition.
You will also learn about potential pitfalls and how to avoid them. This training is not just about the good parts, but also about how to avoid the bad parts.
Praktische info:
16 okt. 2026 09:00 - 13:00
4 uur
OpleidingsCentrum C, ICTS, Willem de Croylaan 52A, 3001 Leuven
Engels
Doelgroep: Researchers and data scientists.
Inschrijven?
- Voorwaarden: You have followed an HPC introduction training session and you have a basic understanding of how to work on the Bash command line. You have experience with R or Python.
- Prijs: Gratis
If you wish to participate on-campus, please make sure to send a mail to martial.luyts@kuleuven.be (mandatory!!) before October 1st, 2026.
georganiseerd door:
Leertrajecten
Learning outcomes
When you complete this training you will
- be able to judge when to switch to an HPC environment;
- be able to prepare your environment for R and Python;
- be able to run a job on an HPC cluster that uses that environment;
- be able to determine how long your computation will take;
- be able to determine how much memory your computation will need;
- be able to estimate the efficiency of your computation;
- know the basics of how to run your computations efficiently;
- know when it makes sense to use parallelization;
- understand the basics and pitfalls of I/O on HPC systems;
- are aware of potential pitfalls and how to avoid them.
Lesgever/spreker
Geert Jan Bex
- Kennisrepresentatie en redenering
- Machine learning en besluitvorming
- Neurale, evolutionaire en fuzzy computation
- Statistische fysica
- Ontwikkeling van bio-informatica software, tools en databases
- High performance computing
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