Cerfacs Enter the world of high performance ...

From 4 November 2019 to 6 November 2019

Fundamentals to understand and analyze high fidelity compressible Large Eddy Simulation

nasri |  

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



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

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.


In order to follow this course, you need to:

  •  Knowledge of Unix commands.
  • Basic knowledge of Python.
  • Knowledge of numerical flow simulations.

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


Scientific contact: Guillaume Daviller



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


(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





A bronze medal to Cerfacs for “Allons-Y À Vélo” !

CERFACS |  26 July 2021

A bronze medal to Cerfacs for "Allons-Y À Vélo" ! Cerfacs is on the podium for its cycling regularity during the "Allons-Y À Vélo" period (May 25 - June 25) in its category (100-500 employees).During this period, 37% of Cerfacs employees came to work by bike during at least 4 consecutive days. "Allons-Y À Vélo" is a campaign organised by the association "2 Pieds 2 Roues" and "La Maison du Vélo de Toulouse" to promote the use of the bicycle for every day travels; all details can be found on allonsyavelo.le-pic.org . Cerfacs encourages its employees to use their bicycle to come to work as they benefit from the bicycle mileage allowance (FMD for Forfait Mobilité Durable) of up to 500 Euros per year.Read more

The H2OPE project wins the prize Joseph Fourier 2021

CERFACS |  26 July 2021

The H2OPE project wins the prize Joseph Fourier 2021 The prize, launched by Atos and GENCI, aims to reward the work of researchers, academics and industry in two strategic areas: Advanced Computing (HPC, Quantum, Edge) and Artificial Intelligence, and, in the 2021 edition , gives particular importance to Decarbonation. The 1st Prize was awarded to the H2OPE or “H2OPErability for safe and clean gas turbine engines” project from CERFACS in Toulouse. This project aims, via the LES AVBP code, to model at high resolution a mixed combustion process associating conventional fuels with hydrogen (bi-fuels) as one of the most promising technical solutions to achieve "net zero emissions" of CO2 in the industrial sector. It was presented by Walter Agostinelli, Davide Laera, Laurent Gicquel, and Thierry Poinsot. Press release :Read more