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SUMMARY:LUMI SmartSim Workshop
DESCRIPTION:You are welcome to join us in 1-day hands-on workshop “LUMI SmartSim”. 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. \nEvent Info\nDates: 31 March 2026\nTime: 10:30 – 16:00 CEST\nLocation: Room 2.03\, SURF Utrecht\, Kantoren Hoog Overborch (Hoog Catharijne)\, Moreelsepark 48\, 3511 EP Utrecht\nOrganizer: HPE\, LUMI User Support Team (LUST)\, SURF Utrecht \nTarget group\nLUMI users interested in integrating machine learning into existing HPC workflows. \nLearning outcomes\nIn the morning session\, we will consider how ML and HPC applications may be coupled together and then give an overview of SmartSim and show how it can interact with simulation data in HPC applications in order to integrate ML models. We will show real examples of how SmartSim has been used in different fields of research such as Computational Fluid Dynamics and Climate Modelling. We also explain how SmartSim can be integrated within an application and how to deploy the resulting workflow. \nThe afternoon session will take a more hands-on approach where attendees can run examples of hybrid scientific simulation/AI workflows using SmartSim.  Attendees will learn how to launch SmartSim leveraging the system’s native batch scheduler and job launcher and gain a practical understanding of the modifications required to adapt HPC applications to use ML. We will also provide examples where attendees can run real applications that utilise SmartSim. \nAgenda\n10:30 Overview of ML and HPC coupling and introduction to SmartSim\n11:30 Practical use of SmartSim\n12:00 Lunch\n13:00 Connecting to LUMI\n13:30 Hands on practical examples\n15:00 Open session: Discuss using SmartSim in user’s own applications or run more examples\n16:00 Finish \nRegistration\nDeadline: 23 March 2026\, at 23:59 CEST \nClick here to register for the workshop.  \nPlease register by the deadline to secure your place. Spaces are limited and available on a first-come\, first-served basis. Participation in the workshop is free of charge and includes coffee/tea/water and a few snacks during the days. Please be prepared to cover your own lunch costs. \nWe have 48 in-person seats and every participant will receive a quick confirmation on a first-come\, first-served basis so that they can arrange travel. \nAttendees are encouraged to bring their own applications to try with SmartSim in the afternoon session or be prepared consider how SmartSim might be used for their own workflows/applications. \nSmartsim is portable to many HPC systems and has been run on laptops and large clusters. The machine learning backend supports both Nvidia and AMD GPUs and CPU backends are provided for Apple (both Intel and Apple Silicon) and Linux (x86_64). On HPC systems the SmartSim infrastructure library can integrate with Slurm\, PBS and LSF.
URL:https://eurocc-netherlands.nl/calendar/lumi-smartsim-workshop/
LOCATION:SURF Utrecht\, Moreelsepark 48\, Utrecht\, 3511 EP\, Netherlands
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2026/03/worksho.png
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