Cerfacs Enter the world of high performance ...

Cerfacs in brief

Centre of basic and applied research specialized in modelling and numerical simulation, Cerfacs, through its facilities and expertise in high-performance computing, deals with major scientific and technical research problems of public and industrial interest.

To learn more

NEWS

Thierry Poinsot officially entered the French Academy of Sciences

CERFACS |  8 November 2021

Thierry Poinsot officially entered the French Academy of Sciences on October 12. See presentation here :Read more


The AVBP code from CERFACS at the heart of for PRACE projects from the 23rd call

CERFACS |  30 September 2021

Cerfacs is involved in three PRACE projects of the 23rd call for which hour allocation runs from 01/10/2021 to 30/09/2022. Researchers from ECL/LMFA UMR5509 (Ecole Centrale de Lyon) and IMFT (UMR 5502) laboratories have earned projects entirely based on the use of the LES solver developed by Cerfacs AVBP and involve the support of experts from the CFD and COOP teams underling the importance and effectiveness of collaborations between French labs and Cerfacs. Alexis Giauque from ECL/LMFA UMR5509 (Ecole Centrale de Lyon) has obtained not only one but two PRACE projects! The first project LESFAN (RA0101, 30 000 000 CPU hours on Irene/Rome TGCC) is based on the use of AVBP in the turbomachinery version to study the generation of noise by a fan of a real airplane engine. The second, PRACE-EDGES (RA0101, 40 000 000 CPU hours on Irene/Rome TGCC) focuses on LES modeling of dens gas in complex geometries. To do so, the LMFA Team has developed advanced thermodynamic closures in AVBP allowing the direct simulation of such flows. Laurent Selle from IMFT (UMR 5502) has received CPU hours for the GASTON project (RA0061, 30 000 000 CPU hours on Marenostrum BSC) which aims to study the structure of hydrogen flames in porous materials. For this, IMFT and Cerfacs will perform coupled simulations considering the reactive flow with AVBP as well as the conduction in the porous medium with AVTP which is known to play an central role in the flame stabilization process. Carlos Perez Arroyo from IMFT (UMR 5502) received 16 Mh CPU hours on Joliot-Curie Skylake partition to support his project WONDER.Read more

All News

RESEARCH PUBLICATIONS

Ardillouze, C., Specq, D., Batté, L. and Cassou, C. (2021) Flow dependence of wintertime subseasonal prediction skill over Europe, Weather and Climate Dynamics, 2 (4), pp. 1033-1049, doi:10.5194/wcd-2-1033-2021

[pdf] [doi]

@ARTICLE{AR-CMGC-21-156, author = {Ardillouze, C. and Specq, D. and Batté, L. and Cassou, C. }, title = {Flow dependence of wintertime subseasonal prediction skill over Europe}, year = {2021}, number = {4}, volume = {2}, pages = {1033-1049}, doi = {10.5194/wcd-2-1033-2021}, journal = {Weather and Climate Dynamics}, pdf = {https://cerfacs.fr/wp-content/uploads/2021/11/Globc_AR_Cassou_WeatherClimDyn_AR-CMGC-21-156.pdf}}

Terray, L. (2021) A dynamical adjustment perspective on extreme event attribution, Weather and Climate Dynamics, 2 (4), pp. 971-989, doi:10.5194/wcd-2-971-2021

[url] [doi]

@ARTICLE{AR-CMGC-21-146, author = {Terray, L. }, title = {A dynamical adjustment perspective on extreme event attribution}, year = {2021}, number = {4}, volume = {2}, pages = {971-989}, doi = {10.5194/wcd-2-971-2021}, journal = {Weather and Climate Dynamics}, url = {https://wcd.copernicus.org/articles/2/971/2021/}}

Fablet, R., Chapron, B., Drumetz, L., Mémin, E., Pannekoucke, O. and Rousseau, F. (2021) Learning variational data assimilation models and solvers, 13 (10), pp. e2021MS002572, doi:10.1029/2021MS002572

[pdf] [url] [doi]

@ARTICLE{AR-CMGC-21-147, author = {Fablet, R. and Chapron, B. and Drumetz, L. and Mémin, E. and Pannekoucke, O. and Rousseau, F. }, title = {Learning variational data assimilation models and solvers}, year = {2021}, number = {10}, volume = {13}, pages = {e2021MS002572}, doi = {10.1029/2021MS002572}, pdf = {https://cerfacs.fr/wp-content/uploads/2021/10/globc_AR_Pannekoucke_J.Adv_.Model_.Earth-Syst.pdf}, url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021MS002572}}

Pannekoucke, O. and Arbogast, P. (2021) SymPKF (v1.0): a symbolic and computational toolbox for the design of parametric Kalman filter dynamics, Geoscientific Model Development, 14 (10), pp. 5957-5976, doi:10.5194/gmd-14-5957-2021

[url] [doi]

@ARTICLE{AR-CMGC-21-148, author = {Pannekoucke, O. and Arbogast, P. }, title = {SymPKF (v1.0): a symbolic and computational toolbox for the design of parametric Kalman filter dynamics}, year = {2021}, number = {10}, volume = {14}, pages = {5957-5976}, doi = {10.5194/gmd-14-5957-2021}, journal = {Geoscientific Model Development}, url = {https://gmd.copernicus.org/articles/14/5957/2021/}}

Peyron, M., Fillion, A., Gürol, S., Marchais, V., Gratton, S., Boudier, P. and Goret, G. (2021) Latent space data assimilation by using deep learning, Quarterly Journal of the Royal Meteorological Society, 147 (740), pp. 3759-3777, doi:10.1002/qj.4153

[url] [doi]

@ARTICLE{AR-PA-21-120, author = {Peyron , M. and Fillion, A. and Gürol, S. and Marchais, V. and Gratton, S. and Boudier, P. and Goret, G. }, title = {Latent space data assimilation by using deep learning}, year = {2021}, number = {740}, volume = {147}, pages = {3759-3777}, doi = {10.1002/qj.4153}, journal = {Quarterly Journal of the Royal Meteorological Society}, url = {https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/qj.4153}}

All publication

JOBS OFFERS

Simulation of combustion with LBM

 

Background, Context: Today, numerical combustion modelling mostly relies on numerical codes solving the Navier-Stokes equations with...Read more


 

Context To reduce the environmental footprint of aircraft, engine and aircraft manufacturers are developing the next...Read more

ALL OFFERS