Combining Data Sharing with the Master-Worker Paradigm in the Common Component Architecture

Gabriel Antoniu 1 Hinde Lilia Bouziane 1 Mathieu Jan 1 Christian Pérez 1 Thierry Priol 1
1 PARIS - Programming distributed parallel systems for large scale numerical simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : Software component technologies are being accepted as an adequate solution for handling the complexity of applications. However, existing software component models tend to be specialized to some types of resource architectures (e.g. in-process, distributed environments, etc) and/or do not provide a very high level of abstraction. This paper focuses on handling \emph{data sharing} on operation invocations between components as a solution allowing applications to be efficiently executed on all kinds of resources. In particular, the data sharing pattern appears in master-worker applications, when workers need to access only a part of a large piece of data, either in read or write mode. This approach is applied to the Common Component Architecture model. Its benefits are discussed using an image rendering application.
Type de document :
Communication dans un congrès
Joint Workshop on HPC Grid programming Environments and COmponents and Component and Framework Technology in High-Performance and Scientific Computing (HPC-GECO/CompFrame~2006), Jun 2006, Paris, France. pp.10-18, 2006
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Soumis le : mardi 26 septembre 2006 - 19:11:59
Dernière modification le : mercredi 16 mai 2018 - 11:23:04
Document(s) archivé(s) le : lundi 5 avril 2010 - 23:54:11

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  • HAL Id : inria-00101365, version 1

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Gabriel Antoniu, Hinde Lilia Bouziane, Mathieu Jan, Christian Pérez, Thierry Priol. Combining Data Sharing with the Master-Worker Paradigm in the Common Component Architecture. Joint Workshop on HPC Grid programming Environments and COmponents and Component and Framework Technology in High-Performance and Scientific Computing (HPC-GECO/CompFrame~2006), Jun 2006, Paris, France. pp.10-18, 2006. 〈inria-00101365〉

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