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Pierre Ramet

Pierre RAMET - Responsable du département SATANAS (Supports et Algorithms pour les Applications Numériques Hautes Performances)
3
Documents
Affiliations actuelles
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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
50324
Image document

Enhancing sparse direct solver scalability through runtime system automatic data partition

 Alycia Lisito , Mathieu Faverge , Grégoire Pichon , Pierre Ramet
WAMTA 2024 - Workshop on Asynchronous Many-Task Systems and Applications 2024, Feb 2024, Knoxville, United States
Communication dans un congrès hal-04527103v1

Recent Developments Around the Block Low-Rank PaStiX Solver

 Grégoire Pichon , Mathieu Faverge , Pierre Ramet
PP 2020 - SIAM Conference on Parallel Processing for Scientific Computing, Feb 2020, Seattle, United States
Communication dans un congrès hal-03140189v1
Image document

Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing

 Changjiang Gou , Ali Al Zoobi , Anne Benoit , Mathieu Faverge , Loris Marchal
EuroPar 2020 - 26th International European Conference on Parallel and Distributed Computing, Aug 2020, Warsaw / Virtual, Poland. pp.1-16
Communication dans un congrès hal-02973315v1