Luc Giraud Directeur de Recherches (INRIA)

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

Extrait de publications

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

Emmanuel Agullo, Eric Darve, Luc Giraud, Yuval Harness. Low-rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices. [Research Report] RR-9200, Inria Bordeaux Sud-Ouest. 2018

Emmanuel Agullo, Luc Giraud, Emrullah Fatih Yetkin. Soft Error in PCG: Sensitivity, Numerical Detections and Possible Recoveries . SIAM Conference on Computational Science and Engineering, CSE'17, Feb 2017, Atlanta, United States

Daniel Cariolle, Philippe Moinat, Hubert TeyssÈdre, Luc Giraud, Béatrice Josse, et al.. ASIS v1.0: an adaptive solver for the simulation of atmospheric chemistry. Geoscientific Model Development, European Geosciences Union, 2017, 10, pp.1467 - 1485

Emmanuel Agullo, Luc Giraud, Louis Poirel. Robust coarse spaces for abstract Schwarz preconditioners via generalized eigenproblems. International conference on domain decomposition methods, DD24, Feb 2017, Svalbard, Norway

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