Luc GIRAUD
Luc Giraud Directeur de Recherches (INRIA)

Équipe LaBRI : Supports et Algorithmes pour les Applications Numériques hAutes performanceS
Courrier électronique : luc.giraudarobaselabri.fr
Bureau : INRIA
Tél : +33 (0)5 40 00


Extrait de publications


Emmanuel Agullo, Siegfried Cools, Luc Giraud, Emrullah Fatih-Yetkin, Wim Vanroose. On Soft Errors in the Conjugate Gradient: Sensitivity and Robust Numerical Detection. SIAM Conference on Computational Science and Engineering (CSE19), Feb 2019, Spokane, United States. ⟨hal-02073742⟩

Emmanuel Agullo, Luc Giraud, Stephane Lanteri, Gilles Marait, Anne-Cécile Orgerie, et al.. Energy Analysis of a Solver Stack for Frequency-Domain Electromagnetics. PDP 2019 - The 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Feb 2019, Pavia, Italy. ⟨10.1109/EMPDP.2019.8671555⟩. ⟨hal-02191331⟩

Siegfried Cools, Jeffrey Cornelis, Emmanuel Agullo, Emrullah Fatih-Yetkin, Luc Giraud, et al.. Numerical Analysis of the Maximal Attainable Accuracy in Communication-hiding Pipelined Conjugate Gradients. SIAM Conference on Computational Science and Engineering (CSE19), Feb 2019, Spokane, United States. ⟨hal-02073711⟩

Emmanuel Agullo, Luc Giraud, Louis Poirel. Robust preconditioners via generalized eigenproblems for hybrid sparse linear solvers. SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2019, 20 (2), pp.23. ⟨hal-02074474⟩

Aurélien Falco, Emmanuel Agullo, Luc Giraud, Guillaume Sylvand. Hierarchical Symbolic Factorization for Sparse Matrices. Sparse Days 2018, Sep 2018, Toulouse, France. ⟨hal-01999895⟩


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