This bootcamp focuses on Scientific Machine Learning (differently to the 2023 edition).
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, UDG, RISE, LiU, OpenACC.org and NVIDIA for EuroCC Austria, EuroCC@GCS, EuroCC Montenegro, and EuroCC Sweden, all National Competence Centres for High-Performance Computing.
Online course Organizer: HLRS, University of Stuttgart, Germany
25. Jun 2024 09:00
26. Jun 2024 13:30
Online
Englisch
Mittel
Community-spezifische Kurse
Simulation
Daten in HPC / Deep Learning / Maschinelles Lernen
Künstliche Intelligenz
Big Data
Deep Learning
Maschinelles Lernen
Scientific Machine Learning
Zurück zur Liste
Learn more about course curricula and content levels.
Main lecturer: Miguel Martinez (NVIDIA)
Teaching Assistants:
CEST time:
Day 0 (Mon, June 24): Cluster Dry Run
Day 1 (Tue, June 25): Introduction
Day 2 (Wed, June 26): Advanced Topics
Attendees will be given access to a GPU cluster for the duration of the Bootcamp.
The code is publicly available on github (End-to-End-AI-for-Science).
Please register at OpenACC-Standard.org via the button at the top of this page with your institutional e-mail address to prove your affiliation.
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, UDG, RISE, LiU, OpenACC.org and NVIDIA. Registration is done via www.gpuhackathons.org hosted by OpenACC-Standard.org. Your registration data will be transferred to these partners. For legal notes see the Privacy Policy.
Registration closes on May 14, 2024 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, maksym.deliyergiyev(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.
http://www.hlrs.de/training/2024/BC-AI-NV and course website at Open Hackathons.
See the training overview and the Supercomputing Academy pages.
Mai 21 - Juni 14, 2024
Juli 02 - 05, 2024
Stuttgart, Germany
November 04 - Dezember 13, 2024
