Introduction to Computational Fluid Dynamics

CFD Simulation - Courtesy Harald Klimach (DLR)
The course will be conducted online via Webex.

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 the University of Stuttgart (IAG and HLRS) and taught together with members of the German Aerospace Center / DLR (Institute of Software Methods for Product Virtualisation).

Location

Online course
Organizer: HLRS, University of Stuttgart, Germany

Start date

Feb 23, 2026
09:15

End date

Feb 27, 2026
15:30

Language

English

Entry level

Basic

Course subject areas

Domain-Specific Courses

Simulation

Topics

Computational Fluid Dynamics

Numerical Methods

Numerical Simulation

Visualization

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Prerequisites and content levels

Prerequisites
  • Basic knowledge of partial differential equations and physics.

  • The working environment is a cluster system, for which experience with shell and Unix is recommended.

  • Familiarity with discretization schemes of ODEs is recommended, but not required.

  • Preliminary experience with Python (optional). Since Python is used, the following tutorial can be used to learn the syntax.

Content levels

Community-target and domain-specific content: 30 hours

Learn more about course curricula and content levels.

Learning outcomes

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.
  • be able to roughly estimate and evaluate the performace by knowing about important factors of parallel execution.

Topics of the course:

  • Compressible flows
  • Incompressible flows
  • Finite element methods
  • Finite volume methods
  • Discontinuous Galerkin method
  • Lattice-Boltzmann method
  • Lattice Generation
  • Turbulence modelling
  • Parallelization
  • Use of high-performance computers

Instructors

Dr.-Ing. Harald Klimach (main instructor), Dr.-Ing. Neda Ebrahimi Pour, Dr.-Ing. Kannan Masilamani. Also authors: Prof. Sabine Roller, Jana Gericke, M.Sc., Raphael Haupt, M.Sc. (DLR, SP);
Prof. Dr.-Ing. habil. Jochen Fröhlich (Chair of Fluid Mechanics, TU Dresden);
Yannik Feldner (IAG, Uni. Stuttgart);
Dr. Albert Ruprecht (formerly IHS, Uni. Stuttgart);
Dr.-Ing. Christoph Niethammer (HLRS, Uni. Stuttgart).

Agenda

See link to the 2025 preliminary program (CET time).

Handout and course material

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 2024 ONLINE course are always available at our self-study materials.

Registration information

Apply for this course via the button at the top of this page (will be available soon).

Registration closes on Sunday, January 25, 2026.

Fees

  • 40,00 €: Students without master’s degree or equivalent
  • 90,00 €: PhD students or employees at a German university or public research institute
  • 180,00 €: PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany
  • 360,00 €: PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries
  • 960,00 €: Other participants, e.g., from industry, other public service providers, or government

Link to the EU and EU-associated (Horizon Europe), and PRACE countries.

Our course fees include coffee breaks (in classroom courses only).

Contact

Lorenzo Zanon, phone 0711 685 63824, training(at)hlrs.de

HLRS Training Collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. SIDE is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC
Since 2025, HLRS has been coordinating one of the AI Factories of the EuroHPC JU: HammerHAI

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.

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