Introduction to Computational Fluid Dynamics

NHR Workshop (Online)

Date will be announced soon

Speaker:

Dr.-Ing. Harald Klimach (main instructor) and Dr. Gregorio Gerardo Spinelli. Other authors: Dr.-Ing. Neda Ebrahimi Pour, Jana Gericke, M.Sc., Raphael Haupt, M.Sc., Dr.-Ing. Kannan Masilamani (DLR, SP);
Prof. Dr.-Ing. habil. Jochen Fröhlich (Chair of Fluid Mechanics, TU Dresden);
Anna Schwarz, M.Sc. (IAG, Uni. Stuttgart);
Dr. Albert Ruprecht (formerly IHS, Uni. Stuttgart);
Dr.-Ing. Christoph Niethammer (HLRS, Uni. Stuttgart)

The course introduces into established numerical methods for Computational Fluid Dynamics in the context of high performance computing. An emphasis is placed on explicit methods for compressible flows, but also numerical methods and considerations
for incompressible Navier-Stokes equations are discussed. Additional topics are higher order discretizations for the solution of systems of partial differential equations and the Lattice Boltzmann method. The last day is dedicated to parallelization.

Hands-on sessions will manifest the contents of the lectures and train the use of cluster systems for parallel simulations. In most of these sessions the tools from the APES-Suite will be used. They cover grid generation with Seeder, visualization with ParaView and the usage of parallel CFD solvers Ateles and Musubi on the local HPC system.

The course is organized by HLRS, the TU Dresden (Chair of Fluid Mechanics and ZIH), the University of Stuttgart (IAG and HLRS) and DLR (Institute of Software Methods for Product Virtualisation).

Agenda

See link 2024-CFD-ZIH-agenda.pdf

Handouts

Each participant will get the pdf of all slides.
The course material will be updated during the course at this link.
Slides, exercises and recordings of the 2020 ONLINE course are available at the HLRS self-study materials.

Prerequisites and Learning Objectives

Prerequisites

Basic knowledge of partial differential equations and physics.
Shell and Unix experience for working on a cluster system
Discretization schemes of ODEs (optional).
Preliminary experience with Python (optional). Since Python is used, the following tutorial can be used to learn the syntax.

Learning Objectives

After this course, participants will:

have gained a basic overview of CFD methods.
know different types of flow applications and suitable numerical methods.
be able to use HPC systems to perform CFD simulations.
have insights into common numerical methods and their implementation.
be able to roughly estimate and evaluate the performace by knowing about important factors of parallel execution.

Registration

Link: https://event.zih.tu-dresden.de/nhr/cfd
Please register by January 28, 2024 .
You will receive the access data shortly before the event by email to your registered email address.

Further Information

Course language: Englisch
Target group: HPC Basics / HPC User / HPC Dev

See also the course website at HLRS

If you have any further questions, please contact Anja Gerbes ().