Section: Partnerships and Cooperations
Inria Project Lab
C2S@Exa - Computer and Computational Scienecs at Exascale
Participants : Olivier Aumage [RUNTIME project-team, Inria Bordeaux - Sud-Ouest] , Jocelyne Erhel [SAGE project-team, Inria Rennes - Bretagne Atlantique] , Philippe Helluy [TONUS project-team, Inria Nancy - Grand-Est] , Laura Grigori [ALPINE project-team, Inria Saclay - Île-de-France] , Jean-Yves L’excellent [ROMA project-team, Inria Grenoble - Rhône-Alpes] , Thierry Gautier [MOAIS project-team, Inria Grenoble - Rhône-Alpes] , Luc Giraud [HIEPACS project-team, Inria Bordeaux - Sud-Ouest] , Michel Kern [POMDAPI project-team, Inria Paris - Rocquencourt] , Stéphane Lanteri [Coordinator of the project] , François Pellegrini [BACCHUS project-team, Inria Bordeaux - Sud-Ouest] , Christian Perez [AVALON project-team, Inria Grenoble - Rhône-Alpes] , Frédéric Vivien [ROMA project-team, Inria Grenoble - Rhône-Alpes] .
Since January 2013, the team is coordinating the C2S@Exa http://www-sop.inria.fr/c2s_at_exa Inria Project Lab (IPL). This national initiative aims at the development of numerical modeling methodologies that fully exploit the processing capabilities of modern massively parallel architectures in the context of a number of selected applications related to important scientific and technological challenges for the quality and the security of life in our society. At the current state of the art in technologies and methodologies, a multidisciplinary approach is required to overcome the challenges raised by the development of highly scalable numerical simulation software that can exploit computing platforms offering several hundreds of thousands of cores. Hence, the main objective of C2S@Exa is the establishment of a continuum of expertise in the computer science and numerical mathematics domains, by gathering researchers from Inria project-teams whose research and development activities are tightly linked to high performance computing issues in these domains. More precisely, this collaborative effort involves computer scientists that are experts of programming models, environments and tools for harnessing massively parallel systems, algorithmists that propose algorithms and contribute to generic libraries and core solvers in order to take benefit from all the parallelism levels with the main goal of optimal scaling on very large numbers of computing entities and, numerical mathematicians that are studying numerical schemes and scalable solvers for systems of partial differential equations in view of the simulation of very large-scale problems.