Section: Partnerships and Cooperations

National Initiatives


  • ANR grant MOEBIUS (2013-2015). Multi-objective scheduling for large computing platforms. Coordinator: Grenoble INP (Moais team). Partners: Grenoble INP, Inria, BULL.

  • ANR grant EXAVIZ (2011-2015). Large Scale Interactive Visual Analysis for Life Science. Partners: Inria Rhône-Alpes, Université d'Orléans, the LBT lab from IBPC, the LIMSI from Université d'Orsay, and the CEMHTI labs from CNRS.

  • ANR HPAC (2012-2015). High Performance Algebraic Computing. Coordinator: UJF (LJK/CASYS team). Partners: project-team MOAIS (Grenoble), project-team ARENAIRE (LIP, Lyon), project-team SALSA (LIP6, Paris), the ARITH group (LIRMM lab, Montpellier).

  • Equipex Kinovis (2012-2017). 2.6 Meuros. Large scale multi-camera platform (extension of the Grimage platform to 60 cameras, depth and X-ray cameras). Coordinator E Boyer, LJK Inria MORPHEO team. Partners: Inria Rhône-Alpes and the LJK, LIG, LADAF and GIPSA labs.

  • ANR-11-LABX-0025 PERSYVAL-Lab funds the following PhD in collaboration with other labs:

    • in collaboration with Verimag: Multi-objective optimization for resource management on multicore systems, (PhD Abhinav Srivastav, since 9/2012)

    • In collaboration with Gipsa-lab and Inria BiBop: Simulations of Fibrous Materials. (PhD Gilles Daviet, since 9/2013)

    • in collaboration with Inria Privatics and Verimag: Secure Outsourcing (PhD Amrit Kumar, since 11/2013)

Competitivity Clusters

  • SoC-Trace, Minalogic 2011-2014 contract. This project aims the development of tools for the monitoring and debug of mumticore systems on chip. Leader: ST-Microelectonic. Partners: Inria (Mescal, Moais); UJF (TIMA, LIG/Hadas); Magilem, ProBayes. Moais contributes with technics and tools for visual aggregation of application traces. The contract funds 1 phD thesis (Damien Dosimont) and 1 year engineer.

  • ARAMIS, PIA contract n°P3342-146798 (2014-2017): Architecture Robuste pour les Automates et Matériels des Infrastructures Sensibles. Coordinator: ATOS-WorldGrid; Partners: CEA, SecLab, UJF. The UJF gathers the folowing teams: LIG (Moais, Drakkar, Vasco); LJK (Casys); IF; Verimag (DCS). BPI funds UJF with 775 ke (funds 4 PhDs and 5 years egineers), among which 410ke for LIG. Moais co-advises two PhD Thesis: Nicolas Kox with LIG-VASCO team (Rupture de protocole avec garanties de sécurité pour les systèmes de contrôle-commande); Maxime Puys with VERIMAG-DCS (Processus de génération de filtres certifiés pour les systèmes de contrôle-commande).

  • PIA ELCI (2014-2017). Environnement Logiciel pour le Calcul Intensif. Coordinator BULL. Partners: BULL, CEA, Inria, SAFRAB, UVSQ.

National ADT

  • ADT K'STAR with cooperation between EPIs MOAIS and RUNTIME (Bordeaux). Coordinator: T. Gautier. https://gforge.inria.fr/projects/kstar . The main objective is to provide OpenMP-3.1 with some extension from OpenMP-4.0 standard to perform OpenMP programs on multi-CPUs multi-GPUs by using XKaapi and StarPU runtimes.

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 participating to 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.

T. Gautier is coordinator of the Pole 4: Programming Models.