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## Section: Partnerships and Cooperations

### National Initiatives

#### ANR

##### Analysis of children exposure to electromagnetic waves (KidPocket)

Participants : Stéphane Lanteri, Joe Wiart [WHIST Laboratory, Orange Labs, Issy-les-Moulineaux] .

The project-team is a partner of the KidPocket project (Analysis of RF children exposure linked to the use of new networks or usages) which is funded by ANR in the framework of the Réseaux du Futur et Services program and has started in October 2009 for a duration of 3 years.

#### Competitivity Clusters

##### Volumic, automatic, industrial and generic mesh generation (MIEL3D-MESHER)

Participants : Clément Durochat, Paul-Louis Georges [GAMMA project-team, Inria Paris - Rocquencourt] , Stéphane Lanteri, Mark Loriot [Distene, Pôle Teratec, Bruyères-le-Chatel] , Philippe Barabinot [LMS Samtech France] .

MIEL3D-MESHER is a national project of the SYSTEM@TIC Paris-Région cluster which aims at the development of automatic hexahedral mesh generation tools and their application to the finite element analysis of some physical problems. One task of this project deals with the definition of a toolbox for the construction of non-conforming, hybrid hexahedral/tetrahedral meshes. In this context, the contribution of the team to this project aims at the development of a DGTD-${ℙ}_{p}{ℚ}_{k}$ method formulated on such hybrid meshes. Here, ${ℙ}_{p}$ stands for the polynomial interpolation method on tetrahedral elements while ${ℚ}_{k}$ denotes the polyomial interpolation method on hexahedral elements.

#### Large-Scale Initiative

##### 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 [CALVI project-team, Inria Nancy - Grand-Est] , Franck Cappello [GRAND-LARGE 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] , 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 2012, the team is coordinating the C2S@Exa http://www-sop.inria.fr/c2s_at_exa Inria large-scale initiative. 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 the C2S@Exa Inria large-scale initiative 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.