Mathieu FAVERGE
Mathieu Faverge Maître de Conférences ()

Équipe LaBRI : Supports et Algorithmes pour les Applications Numériques hAutes performanceS
Fonction administrative : Responsable des Projets à finalité entreprise du département informatique de l'ENSEIRB-MATMECA
Courrier électronique : mathieu.favergearobaselabri.fr
Bureau : INRIA
Tél : +33 (0)5 40 00


Extrait de publications


Heike Jagode, Anthony Danalis, Reazul Hoque, Mathieu Faverge, Jack Dongarra. Evaluation of Dataflow Programming Models for Electronic Structure Theory. Concurrency and Computation: Practice and Experience, Wiley, In press, pp.23

Grégoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman. Sparse supernodal solver using block low-rank compression: Design, performance and analysis. International Journal of Computational Science and Engineering, Inderscience, 2018, 27, pp.255 - 270

Mathieu Faverge, Salli Moustafa, François Févotte, Laurent Plagne, Pierre Ramet. Efficient Parallel Solution of the 3D Stationary Boltzmann Transport Equation for Diffusive Problems. [Research Report] RR-9116, Inria; EDF Lab. 2017, pp.22

Grégoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman. Sparse Supernodal Solver Using Block Low-Rank Compression. [Research Report] RR-9022, Inria Bordeaux Sud-Ouest. 2017, pp.24

Emmanuel Agullo, Olivier Aumage, Mathieu Faverge, Nathalie Furmento, Florent Pruvost, et al.. Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model. IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, In press


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