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 et Total. It is also associated with partners like CNRS (Associated Research Unit), Irit (common laboratory), CEA and Inria (cooperation agreements).
|1987||Creation of a CERFACS Scientific Group managed by Jean-Claude André, with 11 members : Aérospatiale, Cnes, CNRS, INPT, Inria, Insa, Matra-Marconi Space, Météo-France, Onera, Midi-Pyrénées.|
|1988||CERFACS becomes a public benefit corporation|
|1996||CERFACS becomes a civil society with four associated structures : Aérospatiale, later becoming EADS, then Airbus Group, Cnes, Météo-France and EDF.|
|1999||Creation 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|
|2004||Safran becomes a new CERFACS' partner|
|2006||Onera becomes a new CERFACS' partner|
|2008||Total becomes a new CERFACS' partner|
|2009||Creation of a joint Inria / CERFACS laboratory|
|2013||Cooperation agreement Inria / CERFACS|
|2015||The tenth computer set at CERFACS since 1996 occupies the 388° place in the top 500 delivering a peak power of 242 Tflop/s|
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.