Emmanuel AGULLO
Emmanuel Agullo Chargé de Recherches (INRIA)

Équipe LaBRI : Supports et Algorithmes pour les Applications Numériques hAutes performanceS
Fonction administrative : Correspondant de la commission "Appels à projets"
Courrier électronique : emmanuel.agulloarobaselabri.fr
Bureau : INRIA
Tél : +33 (0)5 40 00


Extrait de publications


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

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, 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

Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Luka Stanisic, Samuel Thibault. Modeling Irregular Kernels of Task-based codes: Illustration with the Fast Multipole Method. [Research Report] RR-9036, INRIA Bordeaux. 2017, pp.35

Emmanuel Agullo, Siegfried Cools, Luc Giraud, Wim Vanroose, Emrullah Fatih Yetkin. Soft Error in Classical PCG and its Variants: Sensitivity, Numerical Detections and Possible Recovery Policies. SIAM Annual meeting 2017, AN'17, Jul 2017, Pittsburgh, United States


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