Výsledky vyhledávání - "compression avec perte"

The backward stable variants of GMRES in variable accuracy

Autor: Emmanuel Agullo, Olivier Coulaud, Luc Giraud, Martina Iannacito, Gilles Marait, Nick Schenkels

Publikováno v: [Research Report] RR-9483, Inria. 2022, pp.1-77
HAL

In the context where the representation of the data is decoupled from the arithmetic used to process them, we investigate the backward stability of two backward-stable implementations of the GMRES method, namely the so-calledModified Gram-Schmidt (MG

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b7e2552f71472eae2d56a6e99f2ac839
https://inria.hal.science/hal-03776837

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Exploring variable accuracy storage through lossy compression techniques in numerical linear algebra: a first application to flexible GMRES

Autor: Agullo, Emmanuel, Cappello, Franck, Di, Sheng, Giraud, Luc, Liang, Xin, Schenkels, Nick

Publikováno v: [Research Report] RR-9342, Inria Bordeaux Sud-Ouest. 2020

Large scale applications running on HPC systems often require a substantial amount of memory and can have a large computational overhead. Lossy data compression techniques can reduce the size of the data and associated communication cost, but the eff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b76b1850a660f9dd104f1684023430bf
https://inria.hal.science/hal-02572910

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Dissertation/ Thesis

Contributions on approximate computing techniques and how to measure them

Autor: Rodriguez Cancio, Marcelino

La Computation Approximée est basée dans l'idée que des améliorations significatives de l'utilisation du processeur, de l'énergie et de la mémoire peuvent être réalisées, lorsque de faibles niveaux d'imprécision peuvent être tolérés. C'e

Externí odkaz: http://www.theses.fr/2017REN1S071/document

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