This bootcamp focuses on Scientific Machine Learning.
Deep Learning (DL) has revolutionized the way of performing classification, pattern recognition, and regression tasks in various application areas. Scientific applications solving linear and non-linear equations with demanding accuracy and computational performance requirements can use a class of DL networks, called Physics-Informed Neural Networks (PINN). In fact, PINNs are specifically designed to integrate scientific computing equations, such as Ordinary Differential Equations (ODE), Partial Differential Equations (PDE), non-linear, and integral-differential equations into the DL network training.
This workshop introduces Scientific Machine Learning (SciML) with PINN and provides hands-on experience with the PDE solver NVIDIA Modulus, a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. This online Bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.
The Bootcamp is co-organised by HLRS, JSC, LRZ, VSC Vienna, Cyfronet AGH, IT4Innovations, RISE, LiU, OpenACC.org and NVIDIA for EuroCC Austria, EuroCC Czechia, EuroCC Poland, EuroCC Montenegro, SLING, EuroCC@GCS and EuroCC Sweden, all National Competence Centres for High-Performance Computing.
Online course Organizer: HLRS, University of Stuttgart, Germany
May 27, 2025 09:00
May 28, 2025 13:30
Online
English
Intermediate
Bootcamp/Hackathon
Data in HPC / Deep Learning / Machine Learning
Artificial Intelligence
Big Data
Deep Learning
Machine Learning
Scientific Machine Learning
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Learn more about course curricula and content levels.
Main lecturer: Niki Andreas Loppi (NVIDIA)
CEST time:
Day 0 (Mon, May 26): Cluster Dry Run
Day 1 (Tue, May 27): Introduction
Day 2 (Wed, May 28): Advanced Topics
Attendees will be given access to a GPU cluster for the duration of the Bootcamp.
The code is publicly available on github.
Registration will be open soon.
The final participants will be selected and informed after the registration deadline has passed.
This course is offered in cooperation by HLRS, JSC, LRZ, VSC Vienna, Cyfronet AGH, IT4Innovations, RISE, LiU, OpenACC.org and NVIDIA.
Registration closes on April 18, 2025 at 23:55.
Our course fee includes coffee breaks (in classroom courses only).
For lists of EU and EuroCC countries have a look at the Horizon Europe and EuroCC website.
Only participants from institutions belonging to these countries can take part in this course.
Maksym Deliyergiyev phone 0711 685 87261, training(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
This course is provided within the framework of EuroCC2.
Within the scope of the EuroCC2 project this training is offered free of charge. By participating in a training free of charge, companies receive state-aid corresponding to the regular market-prices listed in the service portfolio. Please note state-aid regulations in Germany.
EuroCC 2 and EuroCC4SEE have received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903 and No 101191697. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia, Bosnia and Herzegovina.
http://www.hlrs.de/training/2025/BC-AI-NV.
See the training overview and the Supercomputing Academy pages.
March 10 - 12, 2025
May 05 - 08, 2025
