Intro to Supercomputing with LUMI - Hybrid course, June 2-3, 2025, on-site in Espoo and online¶

Course organisation¶

Location: CSC, Keilaranta 14, 02150 Espoo, Finland

Room: Dogmi.

Upon arrival at CSC, please register in the lobby at the entrance of the C building, Life Sciences Center, Keilaranta 14 (round doors). It is likely you will receive a QR-code to scan at the entrance the day before, and that greatly speeds up the registration process.

Public transportation in Helsinki. A very easy way to buy tickets is via the HSL app, but it is best to set it up before you travel so that payment goes quickly.

The venue is close to the "Keilaniemi - Kägeludden" metro station, providing an excellent connection with the hotels downtown.
Schedule
HedgeDoc for questions
Project for the course: project_465001965.

This project provides resources for the exercises. The project should not be used for your own work!
There are two Slurm reservations for the course for the exercises on the second day:
- CPU nodes: LUMI_Intro_1 (on the small Slurm partition)
- GPU nodes: LUMI_Intro_2 (on the standard-g Slurm partition)

Course materials¶

Course materials include the Q&A of each session, slides when available and notes when available. These materials will become available as the course progresses.

Note: Some links in the table below are dead and will remain so until after the end of the course.

Presentation	slides	notes	recording
Day 1
Welcome and Introduction	S	/	V
Introduction to the course notes	/	N	/
*Theme: Exploring LUMI from the login nodes*
LUMI Architecture	S	(N)	V
HPE Cray Programming Environment	S	N	V
Getting Access to LUMI	S	N	V
Exercises 1	/	/	/
Modules on LUMI	S	N	V
Exercises 2	/	/	/
LUMI Software Stacks	S	N	V
Exercises 3	/	/	/
LUMI Support and Documentation	S	N	V
Wrap-Up Day 1	S	/	V
Day 2
Introduction Day 2	S	/	V
*Theme: Running jobs efficiently*
Slurm on LUMI	S	(N)	V
Process and Thread Distribution and Binding	S	(N)	V
Exercises 4	/	/	/

Setting up for the exercises¶

During the course, you can use the training project project_465001965 for the exercises. After the course, it is still possible to make almost all exercises in your own project. They need only very little resources, but you will need both CPU and GPU resources. This project should only be used for exercises and not for your own work!

The "Object Storage" exercises in Exercise session 5 do require data in the training project, so these exercises should really be made while the training project is still active. There is an alternative set of exercises missing only one element from the during-the-course version that can be made in your own project. For the exercises from Exercise session 4 you can no longer use the reservation if they are not made during the second course day (the reservation expires at 5pm CET/ 6pm EET that day).

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_465001965/course-20250602-$USER/Exercises
cd /scratch/project_465001965/course-20250602-$USER/Exercises
```
where you have to replace project_465001965 using the number of your own project.

If you have no other project on LUMI, you can also use the scratch of the course project project_465001965. Do use a personal subdirectory as in the following commands:
```
mkdir -p /scratch/project_465001965/$USER/Exercises
cd /scratch/project_465001965/$USER/Exercises
```

Now download the exercises and un-tar:

wget https://462000265.lumidata.eu/2day-20250602/files/exercises-20250602.tar.bz2
tar -xf exercises-20250602.tar.bz2

Link to the tar-file with the exercises and the bzip2-compressed version.

You're all set to go!

Links to documentation¶

The links to all documentation mentioned during the talks is on a separate page.

Acknowledgement¶

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).