Preliminary schedule¶
This is a very preliminary schedule. Presenters and exact times of the lectures may still change.
| DAY 1 - Wednesday 25/11/2026 | |
|
09:00 EET
08:00 CET |
Welcome and Introduction
Presenters: Gregor Decristoforo (LUST) |
|
09:15 EET
08:15 CET |
Introduction to LUMI
Presenter: Henk Dreuning (LUST) |
|
09:45 EET
08:45 CET |
Using the LUMI web interface
Presenters: Mats Sjöberg (CSC) and Marlon Tobaben (CSC) |
|
10:05 EET
09:05 CET |
Hands-on: Run a simple PyTorch example notebook
Presenters: Marlon Tobaben (CSC) and Mats Sjöberg (CSC) |
|
10:35 EET
09:35 CET |
Break (15 minutes) |
|
10:50 EET
09:50 CET |
Your first AI training job on LUMI
Presenters: Mats Sjöberg (CSC) and Marlon Tobaben (CSC) |
|
11:20 EET
10:20 CET |
Hands-on: Run a simple single-GPU PyTorch AI training job
Presenters: Marlon Tobaben (CSC) and Mats Sjöberg (CSC) |
|
12:05 EET
11:05 CET |
Lunch break (60 minutes) |
|
13:05 EET
12:05 CET |
Understanding GPU activity & checking jobs
Presenters: Paul Bauer (AMD) and Samuel Antão (AMD) |
|
13:25 EET
12:25 CET |
Hands-on: Checking GPU usage interactively using rocm-smi
Presenter: Samuel Antão and Paul Bauer (AMD) |
|
13:45 EET
12:45 CET |
Running containers on LUMI Presenter: Julius Roeder (DeiC) |
|
14:05 EET
13:05 CET |
Hands-on: Pull and run a container Presenter: Julius Roeder (DeiC) |
|
14:25 EET
13:25 CET |
Break (15 minutes) |
|
14:40 EET
13:40 CET |
Building containers from conda/pip environments Presenter: Julius Roeder (DeiC) |
|
15:00 EET
14:00 CET |
Hands-on: Creating a conda environment file and building a container using cotainr Presenter: Julius Roeder (DeiC) |
|
15:20 EET
14:20 CET |
Extending containers with virtual environments for faster testing Presenter: Henk Dreuning (LUST) |
|
15:40 EET
16:40 CET |
Hands-on: Getting started with your own project
Bring your own AI code, you want to run on LUMI, and spent some time applying what you have learned during the workshop - with on-site support from LUST/AMD. |
|
17:00 EET
17:00 CET |
End of the course day |
| DAY 2 - Thursday 26/11/2026 | |
|
09:00 EET
08:00 CET |
Scaling AI training to multiple GPUs
Presenters: Mats Sjöberg (CSC) and Marlon Tobaben (CSC) |
|
09:40 EET
08:40 CET |
Hands-on: Converting the PyTorch single GPU AI training job to use all GPUs in a single node via DDP
Presenters: Marlon Tobaben (CSC) and Mats Sjöberg (CSC) |
|
10:20 EET
09:20 CET |
Break (15 minutes) |
|
10:35 EET
09:35 CET |
Extreme scale AI
Presenter: Samuel Antão and Paul Bauer (AMD) |
|
11:20 EET
10:20 CET |
Hands-on: Extreme scale AI |
|
11:35 EET
10:35 CET |
Loading training data on LUMI
Presenter: Harvey Richardson (HPE) |
|
12:00 EET
11:00 CET |
Lunch break (60 minutes) |
|
13:00 EET
12:00 CET |
Coupling machine learning with HPC simulation Presenter: Harvey Richardson (HPE) |
|
13:30 EET
12:30 CET |
Hands-on: Advancing your own project and Q&A
Bring your own AI code, you want to run on LUMI, and spent some time applying what you have learned during the workshop - with on-site support from LUST/AMD. (Coffee with snack at 14:00 EET.) |
|
16:30 EET
15:30 CET |
End of the course day |