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Pierre Ramet

Pierre RAMET - Responsable du département SATANAS (Supports et Algorithms pour les Applications Numériques Hautes Performances)
2
Documents
Affiliations actuelles
  • 259761
  • 104751
  • 3102
  • 440172
  • 1124391
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Présentation

Ma problématique de recherche concerne les problèmes du calcul haute performance, en particulier l'algèbre linéaire creuse. Je développe la bibliothèque PaStiX ([https://solverstack.gitlabpages.inria.fr/pastix](https://solverstack.gitlabpages.inria.fr/pastix "PaStiX")) qui implémente un solveur direct creux haute performance. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
My interests span high-performance computing, focusing on sparse linear algebra. I am the developer of PaStiX ([https://solverstack.gitlabpages.inria.fr/pastix](https://solverstack.gitlabpages.inria.fr/pastix "PaStiX")), a high-performance sparse direct solver. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Domaines de recherche

Informatique [cs] Analyse numérique [math.NA]

Compétences

Sparse Linear Algebra Parallel Algorithms Scientific Computing

Publications

mfaverge
34707

A task-based sparse direct solver suited for large scale hierarchical/heterogeneous architectures

Xavier Lacoste , Mathieu Faverge , Pierre Ramet
SIAM Conference on Computational Science and Engineering (SIAM CSE 2015), Mar 2015, Salt Lake City, United States
Communication dans un congrès hal-01100979v1

On the design of parallel linear solvers for large scale problems

Xavier Lacoste , Mathieu Faverge , Pierre Ramet
Mini-Symposium on Recent advances in matrix computations for extreme-scale computers at ICIAM'15 conference, Aug 2015, Beijing, China
Communication dans un congrès hal-01100987v1