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, 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⟩

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, Siegfried Cools, Emrullah Fatih-Yetkin, Luc Giraud, Wim Vanroose. On soft errors in the Conjugate Gradient method: sensitivity and robust numerical detection: Sur les soft-erreurs dans la méthode du Gradient Conjugué: sensibilité et détection numérique robuste. [Research Report] RR-9226, Inria Bordeaux Sud-Ouest. 2018. ⟨hal-01929738⟩

Siegfried Cools, Emrullah Fatih Yetkin, Emmanuel Agullo, Luc Giraud, Wim Vanroose. Analyzing the Effect of Local Rounding Error Propagation on the Maximal Attainable Accuracy of the Pipelined Conjugate Gradient Method. SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2018, 39 (1), pp.426 - 450. ⟨10.1137/17M1117872⟩. ⟨hal-01753411⟩


Page mise à jour le 13/08/2010 à 10:56