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


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, Alfredo Buttari, Abdou Guermouche, Arnaud Legrand, Ian Masliah, et al.. Simulation of a Sparse Direct Solver on Heterogeneous Systems using Starpu and Simgrid. CSE19 - SIAM Conference on Computational Science and Engineering, Feb 2019, Spokane, United States. ⟨hal-02073725⟩

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⟩

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, Stéphane Lanteri, Gilles Marait, Anne-Cécile Orgerie, et al.. Energy analysis of a solver stack for frequency-domain electromagnetics. [Research Report] RR-9240, Inria Bordeaux Sud-Ouest. 2018. ⟨hal-01962629⟩


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