Introduction to machine learning in the application area of fluid mechanics and combustion using HPC (PRACE-Trainingskurs, online)
Jens Henrik Göbbert
(Kurs Nr. 3902022 im Trainingsprogramm 2022 des Forschungszentrums Jülich)
Der Kurs findet als Online-Veranstaltung statt. Der Link zur Online-Plattform wird nur den registrierten Teilnehmer:innen bekannt gegeben.
Inhalt:
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.
Vorläufige 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) |
Voraussetzungen:
Kenntnisse in Computational Fluid Dynamics
Sprache:
Der Kurs wird auf Englisch gegeben.
Dauer:
1 Tag
Zeit:
8. Dezember 2022, 08.30-17.00 Uhr
Ort:
online
Anzahl der Teilnehmenden:
mindestens 5, höchstens 50
Referent:innen:
Jens Henrik Göbbert, Dr. Mathis Bode, JSC;
Ludovico Nista, Dr. Temistocle Grenga, RWTH Aachen University;
Dr. Federica Ferraro, Julian Bissantz, TU Darmstadt;
Dr. Peicho Petkov, NCSA
Kontakt:
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Raum 307