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Schedule

DAY 1 - Tuesday 27/05
09:00 CEST
10:00 EEST
Welcome and Introduction
Presenters: Jørn Dietze and Gregor Decristoforo (LUST)
09:15 CEST
10:15 EEST
Introduction to LUMI
Presenter: Jørn Dietze (LUST)
09:45 CEST
10:45 EEST
Using the LUMI web interface
Presenters: Mats Sjöberg (CSC) and Oskar Taubert (CSC)
10:05 CEST
11:05 EEST
Hands-on: Run a simple PyTorch example notebook
10:35 CEST
11:35 EEST
Break (15 minutes)
10:50 CEST
11:50 EEST
Your first AI training job on LUMI
Presenters: Mats Sjöberg (CSC) and Oskar Taubert (CSC)
11:20 CEST
12:20 EEST
Hands-on: Run a simple single-GPU PyTorch AI training job
12:05 CEST
13:05 EEST
Lunch break (60 minutes)
13:05 CEST
14:05 EEST
Understanding GPU activity & checking jobs
Presenter: Samuel Antao (AMD)
13:25 CEST
14:25 EEST
Hands-on: Checking GPU usage interactively using rocm-smi
13:45 CEST
14:45 EEST
Running containers on LUMI
Presenter: Gregor Decristoforo (LUST)
14:05 CEST
15:05 EEST
Hands-on: Pull and run a container
14:25 CEST
15:25 EEST
Break (15 minutes)
14:40 CEST
15:40 EEST
Building containers from conda/pip environments
Presenter: Jørn Dietze (LUST)
15:00 CEST
16:00 EEST
Hands-on: Creating a conda environment file and building a container using cotainr
15:20 CEST
16:20 EEST
Extending containers with virtual environments for faster testing
Presenter: Gregor Decristoforo (LUST)
15:40 CEST
16:40 EEST
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 CEST
18:00 EEST
End of the course day
DAY 2 - Wednesday 28/05
09:00 CEST
10:00 EEST
Scaling AI training to multiple GPUs
Presenters: Mats Sjöberg (CSC) and Oskar Taubert (CSC)
09:40 CEST
10:40 EEST
Hands-on: Converting the PyTorch single GPU AI training job to use all GPUs in a single node via DDP
10:20 CEST
11:20 EEST
Break (15 minutes)
10:35 CEST
11:35 EEST
Extreme scale AI
Presenter: Samuel Antao (AMD)
11:20 CEST
12:20 EEST
Demo/Hands-on: Using multiple nodes
11:35 CEST
12:35 EEST
Loading training data on LUMI
Presenter: Harvey Richardson (HPE)
12:00 CEST
13:00 EEST
Lunch break (60 minutes)
13:00 CEST
14:00 EEST
Coupling machine learning with HPC simulation
Presenter: Harvey Richardson (HPE)
13:30 CEST
14:30 EEST
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.
16:30 CEST
17:30 EEST
End of the course day