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Pierre Ramet

Pierre RAMET - Responsable du département SATANAS (Supports et Algorithms pour les Applications Numériques Hautes Performances)
10
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
48825
Image document

Deciding Non-Compressible Blocks in Sparse Direct Solvers using Incomplete Factorization

Esragul Korkmaz , Mathieu Faverge , Grégoire Pichon , Pierre Ramet
HiPC 2021 - 28th IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2021, Bangalore, India. pp.1-10, ⟨10.1109/HiPC53243.2021.00024⟩
Communication dans un congrès hal-03361299v1

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

Rank Revealing QR Methods for Sparse Block Low Rank Solvers

Esragul Korkmaz , Mathieu Faverge , Grégoire Pichon , Pierre Ramet
COMPAS 2019 - Conférence d'informatique en Parallélisme, Architecture et Système, Jun 2019, Anglet, France
Communication dans un congrès hal-02326084v1

Rank Revealing QR Methods for Sparse Block Low Rank Solvers

Esragul Korkmaz , Mathieu Faverge , Grégoire Pichon , Pierre Ramet
Sparse Days 2019, Jul 2019, Toulouse, France
Communication dans un congrès hal-02326070v1

Block Low-rank Algebraic Clustering for Sparse Direct Solvers

Grégoire Pichon , Eric Darve , Mathieu Faverge , Pierre Ramet , Jean Roman
SIAM Conference on Computational Science and Engineering (CSE19), Feb 2019, Spokane, United States
Communication dans un congrès hal-01956962v1

Exploiting Parameterized Task-graph in Sparse Direct Solvers

Mathieu Faverge , Grégoire Pichon , Pierre Ramet
SIAM Conference on Computational Science and Engineering (CSE19), Feb 2019, Spokane, United States
Communication dans un congrès hal-01956963v1
Image document

Sparse supernodal solver using block low-rank compression: Design, performance and analysis

Grégoire Pichon , Eric Darve , Mathieu Faverge , Esragul Korkmaz , Pierre Ramet
JOREK development meeting, Nov 2019, Cadarache, France
Document associé à des manifestations scientifiques hal-02326407v1