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From 2 November 2021 to 4 November 2021

Fundamentals to understand and analyse high fidelity compressible LES

nasri |  

Deadline for registration: 15 days before the starting date of each training
Duration : 3 days / (21 hours)

Before signing up, you may wish to report us any particular constraints  (schedules, health, unavailability…)  at the following e-mail address : training@cerfacs.fr

Satisfaction index

In November 2019, 50% of participants were satisfied or very satisfied

(results collected from 6 respondents out of 12 participants, a response rate of 50%)


This training course enables the participants to reinforce their theoretical knowledge in order to understand and analyze high fidelity compressible Large Eddy Simulation (LES). Numerical methods, boundary conditions, signal processing and unsteady turbulence modeling are the main subjects tackled. Hands-on sessions are organized to put the theoretical courses into practice.

Objective of the training

The objective of this training course is to become familiar with the LES in order to realize and analyze LES of turbulent flows.

Learning outcomes

On completion of this course, you will be able to:

  • Explain the concept of turbulent scale separation
  • Derived LES equations,
  • Choose a subgrid scale model
  • Define a-priori parameters for a LES (mesh, CPU cost…)
  • Become familiar with compressible boundary conditions
  • Analyze a turbulent flow

Teaching methods

The training is an alternation of theoretical presentations and practical work. A multiple choice question allows the final evaluation. The training room is equiped with computers, the work can be done in sub-groups of two people.

Target participants

This training session is for students, engineers, physicists and computer scientists who wish to reinforce or extend their theoretical background to the precise use and analysis of CFD simulations.

Prerequisites and registration

In order to follow this course, you need to:

  • Know Unix commands
  • Have basic knowledge of Python.
  • Know numerical flow simulations.
  • Have level B2 of CEFR (training can take place in French or English depending on the audience).

To verify that the prerequisites are satisfied, the following questionnaires must be completed. You need to get at least 75% of correct answers in order to be authorized to follow this training session. If you don’t succeed it, your subscription will not be validated. You only have two chances to complete them.

Questionnaire 1 : Unix commands

Questionnaire 2 : Python edition

Questionnaire 3 : Numerical flow simulations


After completing the pre-requisite tests and obtaining at least 75% correct answers, you can register:



Referent teacher: Guillaume Daviller



  • Trainees/PhDs/PostDocs : 210 € excl. tax
  • CERFACS shareholders/CNRS/INRIA : 600 €excl. tax
  • Public : 1200 € excl. tax


(Every day from 9h to 17h30)

Jour 1

  • Turbulence and scale separation
    Large Eddy Simulation

Jour 2

  • Subgrid scale models ; discretisation and meshing techniques
    Hybrid simulations RANS/LES ; wall modeling and turbulence injection

Jour 3

  • Acoustics – compressible boundary conditions
    Signal treatment : frequential analysis, spatio-temporal correlations

Evaluation of learning

A final exam will be conducted during the training.



Cerfacs communication in the Tribune on the CICA project

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CERFACS |  1 July 2021

A team composed of researchers from CERFACS and LIRMM (Laboratoire d'Informatique, Robotique et de Micro-électronique de Montpellier) is one of the winners of the Open Science Prize challenge, a contest organised by IBM. The challenge aimed at improving the precision of some quantum circuits that are deemed important for the development of quantum computing in the future. With more than 70 participants and 30 teams, this international challenge showed that it was possible to substantially improve the preparation of a specific quantum state, called "graph-state", that may be a crucial step for implementing error correcting codes using quantum computing. IBM's blog ticket is available here:Read more