Workshop LUMI SmartSim
Join this hands-on workshop and learn how to integrate machine learning into HPC workflows. We will introduce SmartSim, an open-source framework that helps researchers easily adapt traditional HPC workloads to include ML.
- Room 2.03, SURF Utrecht, Moreelsepark 48, 3511 EP Utrecht
Using machine learning (ML) within HPC applications offers the advantage that it can improve the overall efficiency of HPC workflows by allowing ML predictions to help guide or replace parts of simulations. However, there are challenges in coupling the two approaches as HPC applications are typically written in C, C++ or Fortran and run on CPUs, whereas ML frameworks are usually Python based and benefit from being run on GPUs.
In this tutorial we will introduce SmartSim, an open-source framework that has been developed to help address these challenges and allow researchers to easily adapt their traditional HPC workloads to include ML. This is done with a distributed orchestrator, which allows data to be exchanged between the HPC application and the ML model.
Programme
| 10.30 | Overview of ML and HPC coupling and introduction to SmartSim |
| 11.30 | Practical use of SmartSim |
| 12.00 | Lunch |
| 13.00 | Connecting to LUMI |
| 13.30 | Hands on practical examples |
| 15.00 | Open session: Discuss using SmartSim in user’s own applications or run more examples |
| 16.00 | Finish |
For whom?
LUMI users interested in integrating machine learning into existing HPC workflows.
Deadline for registration
Please register by 23 March 2026, at 23:59 CEST to secure your place. Spaces are limited and available on a first-come, first-served basis.
Sign up now Workshop LUMI SmartSim
- Room 2.03, SURF Utrecht, Moreelsepark 48, 3511 EP Utrecht