Introduction to machine learning in the application area of fluid mechanics and combustion using HPC (PRACE training course, online)
Jens Henrik Göbbert
(Course no. 3902022 in the training programme 2022 of Forschungszentrum Jülich)
This course will take place as an online event. The link to the streaming platform will be provided to the accepted registrants only.
Contents:
This training course will highlight interactive analysis for ML/AI applications in the research domain of combustion theory. The program will focus on fluid mechanics, fundamentals and current challenges in combustion, as well as the use of Machine Learning (ML) and High-Performance Computing (HPC) to approach simulations of turbulent reacting flows.
This course is offered as a PRACE training course in cooperation with the Centre of Excellence for Combustion.
Preliminary agenda
Time | Title | Presenter |
---|---|---|
08:30–09:15 | Welcome and introduction to interactive supercomputing for machine learning on HPC | Jens Henrik Göbbert (Jülich Supercomputing Centre) |
09:15–10:00 | Introduction to machine learning: artificial and convolutional neural networks | Ludovico Nista (RWTH Aachen University) |
10:00–10:45 | Machine learning for combustion modeling: Flamelet representation through ANN | Dr. Federica Ferraro (TU Darmstadt) |
10:45–11:15 | Coffee break | |
11:15–12:00 | Hands-on session: - linear regression and rain prediction via ANN, a digit classifier using CNN - a flamelet representation with ANN | T. Jeremy P. Karpowski (TU Darmstadt) |
12:00–13:30 | Lunch break | |
13:30–14:15 | Machine learning for combustion modeling: GAN modeling of sub-filter turbulence | Dr. Temistocle Grenga (RWTH Aachen University) |
14:15–15:00 | HPC with Machine Learning: multi-node multi-GPU training: theory and applications | Ludovico Nista (RWTH Aachen University) |
15:00–15:30 | Coffee break | |
15:30–16:15 | HPC and ML for Combustion Simulation: Embedding ML into CFD code | Dr. Peicho Petkov (NCSA) |
16:15–17:00 | Advanced applications of AI super-resolution to combustion | Mr. Mathis Bode (Jülich Supercomputing Centre) |
Prerequisites:
Some knowledge of Computational Fluid Dynamics
Language:
This course is given in English.
Duration:
1 day
Date:
8 December 2022, 08:30-17:00
Venue:
online
Number of Participants:
minimum 5, maximum 50
Instructors:
Jens Henrik Göbbert, Mathis Bode, JSC;
Ludovico Nista, Dr. Temistocle Grenga, RWTH Aachen University;
Dr. Federica Ferraro, Julian Bissantz, TU Darmstadt;
Dr. Peicho Petkov, NCSA
Contact:
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 307