Introduction to machine learning in the application area of fluid mechanics and combustion using HPC (PRACE training course, online)

Start
8th December 2022 07:30 AM
End
8th December 2022 16:00 PM
Location
online
Contact

Jens Henrik Göbbert

j.goebbert@fz-juelich.de

(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)
Building 16.4 /
Room 307
+49 2461/61-96498
E-Mail

Course material:

Gitlab repository and shared notes

Last Modified: 20.12.2022