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

The precise schedule and topics will be released in next days.

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: 9–10. November 2026
Time: 9:00 – 17:30 CET each day
Location: University of Copenhagen Panum and Mærsk Tower
Blegdamsvej 3B, 2200 Copenhagen, Denmark
Room: Panum – 13.1.83
Cost: Free
Registration deadline: 26. October 2026

Organizer: LUMI User Support Team (LUST), University of Copenhagen, DEIC

To participate in the hands-on exercises and access the slides and training materials on the course day, participants must 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 registration.

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 26. October 2026 23:59 CET: https://ssl.eventilla.com/event/2NpoB

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.