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Supercomputing with LUMI - Amsterdam, May 2-3, 2024

Course organisation

Setting up for the exercises

If you have an active project on LUMI, you should be able to make the exercises in that project. You will only need an very minimum of CPU and GPU billing units for this.

  • Create a directory in the scratch of your project, or if you want to keep the exercises around for a while, in a subdirectory of your project directory or in your home directory (though we don't recommend the latter). Then go into that directory.

    E.g., in the scratch directory of your project:

    mkdir -p /scratch/project_465001102/$USER/exercises
    cd /scratch/project_465001102/$USER/exercises

    where you have to replace project_465001102 using the number of your own project.

  • Now download the exercises and un-tar:

    tar -xf exercises-20240502.tar.gz

    Link to the tar-file with the exercises

  • You're all set to go!

Course materials

Note: Some links in the table below will remain invalid until after the course when all materials are uploaded.

Presentation Slides Notes recording
Welcome and Introduction slides notes video
LUMI Architecture slides notes video
HPE Cray Programming Environment slides notes video
Getting Access to LUMI slides notes video
Exercises 1 / notes /
Modules on LUMI slides notes video
Exercises 2 / notes /
LUMI Software Stacks slides notes video
Exercises 3 / notes /
Wrap-Up Day 1 slides / video
Introduction Day 2 slides / video
Slurm on LUMI slides notes video
Process and Thread Distribution and Binding slides notes video
Exercises 4 / notes /
I/O and File Systems on LUMI slides notes video
Containers on LUMI-C and LUMI-G slides notes video
Demo 1 (optional) / notes video
Demo 2 (optional) / notes video
LUMI Support and Documentation slides notes video
LUMI in The Netherlands slides / video
What Else? slides / video
A1 Additional documentation / notes /


Though a LUST course, the course borrows a lot of material from a similar course prepared by the Belgian local organisation, which in turn was prepared in the framework of the VSC Tier-0 support activities. The VSC is funded by FWO - Fonds Wetenschappelijk Onderzoek - Vlaanderen (or Research Foundation – Flanders).