In this course, you will learn the basics of cluster computing with R for social science workloads. The day starts with an introduction to supercomputer architecture, including a hands-on session focused on running jobs on a supercomputer.
The second half of the programme focuses on translating your R workflow from a GUI (Rstudio) workflow on your desktop to a scripting/batch environment on the supercomputer. Topics covered here include: efficient programming, parallel computing, and using the SLURM job manager to send your job/analysis to the supercomputer.
In this course you will:
- Do practical exercises to learn how to effectively use the Lisa national computing cluster and the national supercomputer, and how to complete your tasks with minimal effort in the shortest possible time.
- Experience how to achieve high performance with R by using SURF’s supercomputing facilities.
Additional information |
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When |
27-09-2024 |
Where |
SURF Amsterdam |
Registration |
https://www.surf.nl/en/agenda/cluster-computing-for-social-scientists-with-r |
Instructors |
Erik-Jan van Kesteren, Assistant Professor at Utrecht University, together with a SURF instructor Erik-Jan’s website |
Materials |
Course materials, including slides and code, are open and can be accessed here. |