Cerfacs Enter the world of high performance ...

Discover CERFACS

Cerfacs

 

Cerfacs is a basic and applied research center, specialized in modeling and numerical simulation. Trough its facilities and expertise in High Performance Computing, Cerfacs deals with major scientific and technical research problems of public and industrial interest.

Cerfacs hosts interdisciplinary researchers such as physicians, applied mathematicians, numerical analysts, software engineers who design and develop innovative methods and software solutions to meet  the needs of the aeronautics, space, climate, energy and environmental fields.

Cerfacs is involved in major national and international projects and is strongly interacting with its seven shareholders : Airbus Group, Cnes, EDF, Météo France, Onera, Safran and Total. It is also associated  with partners like CNRS (Associated Research Unit), Irit (common laboratory), CEA and Inria (cooperation agreements).

Key dates

1987Creation of a Cerfacs Scientific Group with 11 members : Aérospatiale, Cnes, CNRS, INPT, Inria, Insa, Matra-Marconi Space, Météo-France, Onera, Midi-Pyrénées.
1988Cerfacs becomes a public benefit corporation
1996Cerfacs becomes a civil society with four associated structures : Aérospatiale, later becoming EADS, then Airbus Group, Cnes, Météo-France and EDF.
1999Creation of the Cerfacs-CNRS associated research unit, the Sciences de l' Univers at Cerfacs (Ura 1875)  collaboration agreement with CEA in the field of advanced computing methods
2004Safran becomes a new Cerfacs' partner
2006Onera becomes a new Cerfacs' partner
2008Total becomes a new Cerfacs' partner
2009Creation of a joint Inria / Cerfacs laboratory
2013Cooperation agreement Inria / Cerfacs
2015The tenth computer set at Cerfacs since 1996 occupies the 388° place in the top 500 delivering a peak power of 242 Tflop/s
2021Cerfacs becomes a “société par actions simplifiée” with seven associated structures : Airbus, Cnes, Météo-France, EDF, Safran, Onera and Total

Cerfacs aims to

  • Develop scientific and technical researches in order to improve advanced computing methods, including a better consideration of the related physical processes  as well as the development of performing algorithms for the new computers' architectures,
  • Allow either solely or shared access to computers with new architecture,  being able to gain performances,
  • Transfer this scientific  knowledge and technical methods for application to big industrial sectors,
  • Train high qualified people and offer an advanced training for the fields and selected application themes.

CALENDAR

Monday

09

October

2023

Machine learning for data science

From Monday 9 October 2023 to Thursday 12 October 2023

  Training    

Tuesday

10

October

2023

PhD Defense: ANTOINE MOUZE-MORNETTAS

Tuesday 10 October 2023 at 14h00

  CNRS ICARE – Orléans - France     Organized by Nathalie BROUSSET    

Monday

23

October

2023

Fundamentals to understand and analyse high fidelity compressible Large Eddy Simulations

From Monday 23 October 2023 to Wednesday 25 October 2023

  Training    

ALL EVENTS