Recent advances on sparse direct solver using Block Low-Rank and mixed precision for large scale applications - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Recent advances on sparse direct solver using Block Low-Rank and mixed precision for large scale applications

Patrick Amestoy
  • Fonction : Auteur
  • PersonId : 1090241
  • IdRef : 06167589X
Olivier Boiteau
  • Fonction : Auteur
  • PersonId : 897559
Alfredo Buttari
Laure Combe
  • Fonction : Auteur
  • PersonId : 752975
  • IdHAL : laure-combe
Jean-Yves L'Excellent
Théo Mary
S. Operto

Résumé

The solution of sparse systems of linear equations is a key computational kernel in scientific computing. It often represents the most time, memory and energy consuming part of the whole numerical simulation process. In this talk, we focus on sparse direct solvers, and more particularly on MUMPS sparse multifrontal solver (https://mumps-solver.org/). We present recent features that enable to efficiently solve large real and complex systems, and that have led to a strong gain of interest of these methods in many applications. We also illustrate how today challenges related to heterogeneity of computers, mixed-precision arithmetics, new models and applications, motivate activity in the field of sparse direct solvers.
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Dates et versions

hal-04642783 , version 1 (10-07-2024)

Identifiants

  • HAL Id : hal-04642783 , version 1

Citer

Patrick Amestoy, Olivier Boiteau, Alfredo Buttari, Laure Combe, Florian Faucher, et al.. Recent advances on sparse direct solver using Block Low-Rank and mixed precision for large scale applications. SIAM Conference on Applied Linear Algebra (LA24), SIAM: Society for Industrial and Applied Mathematics; Sorbonne Universté, May 2024, Paris, France. ⟨hal-04642783⟩
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