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 hands-on experience with a 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, LRZ, OpenACC.org and NVIDIA for EuroCC@GCS, the German National Competence Centre for High-Performance Computing.
Online course Organizer: HLRS, University of Stuttgart, Germany
24. Okt 2022 09:00
25. Okt 2022 17:05
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
Basic experience with Python. No GPU programming or AI knowledge is required.
Learn more about course curricula and content levels.
Dr. Niki Andreas Loppi (NVIDIA) - Lead instructor.
Dr. Mozhgan Kabiri Chimeh, Dr. Paul Graham, Dr. Gunter Roth (NVIDIA).
Dr. Flavio C. Cunha Galeazzo, Dr. Khatuna Kakhiani, Dr. Lorenzo Zanon (HLRS).
PD Dr. Juan Durillo Barrionuevo, Maja Piskac (LRZ).
Subject to Change (all times in CEST)
Day 1 - Monday, October 24, 2022
Day 2 - Tuesday, October 25, 2022
Attendees will be given access to a GPU cluster for the duration of the Bootcamp.
The code is publicly available on github (tba).
This course is fully booked.
This course is offered in cooperation by HLRS, LRZ, OpenACC.org and NVIDIA. Registration is done via www.openhackathons.org hosted by OpenACC-Standard.org. Your registration data will be transferred to these partners. For legal notes see the Privacy Policy.
Registration deadline: 05/10/2022 23:55.
This event is free of charge.
Khatuna Kakhiani, phone 0711 685 65796, kakhiani(at)hlrs.de Michael Schlottke-Lakemper, phone 0711 685 87162, m.schlottke-lakemper(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.
This course is not part of the PATC curriculum and is not sponsored by the PATC program.
HLRS is also member of the Baden-Württemberg initiative bwHPC.
This course has been developed together with EuroCC. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing.
http://www.hlrs.de/training/2022/BC-SciML-NV and course websites at LRZ.
See the training overview and the Supercomputing Academy pages.
April 22 - 25, 2024
Mai 21 - Juni 14, 2024
Juni 25 - 26, 2024
Juli 02 - 05, 2024
Stuttgart, Germany
November 04 - Dezember 13, 2024
