Programmation haute performance pour architectures hybrides

Programmation haute performance pour architectures hybrides

Les architectures parallèles hybrides constituées d'un grand nombre de noeuds de calcul multi-coeurs/GPU connectés en réseau offrent des performances théoriques très élevées, de l'ordre de quelque dizaines de TeraFlops. Mais la programmation efficace de ces machines reste un défi à cause d...

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Bibliographic Details
Main Author:	Habel, Rachid
Other Authors:	Paris, ENMP
Language:	fr
Published:	2014
Subjects:	Compilation Mémoire distribuée Mémoire partagée Gpu Mpi OpenMP Distributed-Memory Shared-Memory 004
Online Access:	http://www.theses.fr/2014ENMP0025/document

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