Moving your HPC workloads to LUMI (Hybrid)

This two-day hybrid course serves as an introduction to the LUMI architecture and setup. It will include lessons about the hardware architecture, compiling, using software and running jobs efficiently. After the course you will be able to work effectively on both the CPU (LUMI-C) as well as GPU partition (LUMI-G).

Please be aware that this is an introduction to the specifics of LUMI and not a general HPC intro course.

It is targeted at current and future users of LUMI and requires some knowledge of HPC concepts such as job schedulers (SLURM), differences between login and compute nodes, and logging in via SSH. If you need a refresher, please review for example the following materials on general HPC (https://carpentries-incubator.github.io/hpc-intro/) or the basic usage of LUMI (https://docs.lumi-supercomputer.eu/firststeps/

What will you learn in this training?

In this training you will:

• connect to LUMI and transfer data from and to the cluster
• understand LUMI’s hardware and effectively compile software on it
• utilize the module system and EasyBuild for software management
• submit and manage jobs with Slurm, including the use of job arrays and GPU/CPU binding
• identify and mitigate I/O bottlenecks in the LUSTRE file system
• create Python environments and run containers on LUMI

You can find the schedule and an overview over the topics here: https://lumi-supercomputer.github.io/LUMI-training-materials/2day-20260422/

For whom?

• Anyone who wants to know how to perform very large computing tasks, specifically if you intend to use the LUMI supercomputer in the future.
• This course is for users who already have basic HPC training or experience with HPC clusters. If not, please check with your local organisation about introductory courses.
• It is aimed at current or prospective LUMI project users and support staff from LUMI consortium organisations.
• The course is not focused on AI workloads, although some AI-related topics are included. For a full introduction to AI on LUMI, see the “Moving your AI training jobs to LUMI” workshop.

Prerequisites:

• Basic knowledge of the Unix shell and general HPC cluster computing is necessary.
• Familiarity with a programming language (C, Fortran, or Python) is highly recommended.

Event Info

Dates: 22– 23. April 2026
Time: 9:00 – 17:30 EEST each day (8:00-16:30 CEST)
Location: Mush-room (2. floor of the Faculty of Civil Engineering), Riga Technical University
Ķīpsalas iela 6A, Riga, Latvia, LV-1048

Organizer: LUMI User Support Team (LUST), Riga Technical University HPC Center and Institute of Numerical Modelling, University of Latvia

For participating in the hands-on exercises and access the slides and training material on the course day, participants will have to join a course specific training project. This project is Puhuri managed which means that CSC users have to set up a new LUMI user account. You will receive step-by-step instructions after the registration on how to join the project and set up an account.

Participants are themselves responsible for all travel bookings.

We will keep a waiting list if registrations exceed the number of planned participants. Attendance is free of charge.

The course will be conducted by the LUMI User Support Team (LUST).

Registration

Register here until 13.04.26 23:59 EEST: https://ssl.eventilla.com/event/Ko9qR

Participants will receive confirmation shortly after the deadline. If your plans change, we kindly ask you to cancel your registration as soon as possible. The email acknowledging your registration will contain a link to manage it.

Users, who don’t have an account on LUMI yet, will receive temporary access for the purpose of the course. The compute time allocated to the course shall only be used for the purpose of doing the exercises of the course. Any abuse will lead to removal from the allocation for this and future courses.

Please, do not hesitate to contact the LUMI User Support Team https://lumi-supercomputer.eu/user-support/need-help/ if you need any assistance.