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
Oct 24, 2022
Oct 25, 2022
Computational Fluid Dynamics
Data in HPC / Deep Learning / Machine Learning
Scientific Machine Learning
Back to list
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.
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.
Back to list
High-Performance Computing Center Stuttgart
Nobelstraße 19, 70569 Stuttgart, Germany
+49 711 685-87209
A member of the Gauss Centre for Supercomputing, HLRS is one of three German national centers for high-performance computing.
HLRS is a central unit of the University of Stuttgart.