RADIC scalability analysis: functional Mmodel

In parallel systems, a number of measures of performance are not accurate or representative of their functioning. These measures allow to quantify the benefit of parallelism. Very often, programs are designed and tested for smaller problems on fewer processing elements. However, the real problems th...

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Detalles Bibliográficos
Autores principales:	Méndez, Sandra, Pérez Ibarra, Marcelo, Rexachs del Rosario, Dolores, Fialho, Leonardo, Luque Fadón, Emilio, Pérez Otero, Nilda, Lasserre, Cecilia María, Liberatori, Héctor
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2009
Materias:	Ciencias Informáticas Fault tolerance Parallel High Performance Computing cluster overhead RADIC
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/20923
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-20923
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Fault tolerance Parallel High Performance Computing cluster overhead RADIC
spellingShingle	Ciencias Informáticas Fault tolerance Parallel High Performance Computing cluster overhead RADIC Méndez, Sandra Pérez Ibarra, Marcelo Rexachs del Rosario, Dolores Fialho, Leonardo Luque Fadón, Emilio Pérez Otero, Nilda Lasserre, Cecilia María Liberatori, Héctor RADIC scalability analysis: functional Mmodel
topic_facet	Ciencias Informáticas Fault tolerance Parallel High Performance Computing cluster overhead RADIC
description	In parallel systems, a number of measures of performance are not accurate or representative of their functioning. These measures allow to quantify the benefit of parallelism. Very often, programs are designed and tested for smaller problems on fewer processing elements. However, the real problems these programs are intended to solve are much larger, and the machines contain a great number of processing elements. Hence, it is necessary to create a model that allows to extrapolate the application execution over a few processing elements to larger machine configurations. These measures are more complex if we consider faults. When we take measures we must understand the interaction among system architecture, application architecture and fault tolerant system. In this paper we present a model which analyzes the combination parallel computer, parallel application and RADIC fault tolerance architecture.
format	Objeto de conferencia Objeto de conferencia
author	Méndez, Sandra Pérez Ibarra, Marcelo Rexachs del Rosario, Dolores Fialho, Leonardo Luque Fadón, Emilio Pérez Otero, Nilda Lasserre, Cecilia María Liberatori, Héctor
author_facet	Méndez, Sandra Pérez Ibarra, Marcelo Rexachs del Rosario, Dolores Fialho, Leonardo Luque Fadón, Emilio Pérez Otero, Nilda Lasserre, Cecilia María Liberatori, Héctor
author_sort	Méndez, Sandra
title	RADIC scalability analysis: functional Mmodel
title_short	RADIC scalability analysis: functional Mmodel
title_full	RADIC scalability analysis: functional Mmodel
title_fullStr	RADIC scalability analysis: functional Mmodel
title_full_unstemmed	RADIC scalability analysis: functional Mmodel
title_sort	radic scalability analysis: functional mmodel
publishDate	2009
url	http://sedici.unlp.edu.ar/handle/10915/20923
work_keys_str_mv	AT mendezsandra radicscalabilityanalysisfunctionalmmodel AT perezibarramarcelo radicscalabilityanalysisfunctionalmmodel AT rexachsdelrosariodolores radicscalabilityanalysisfunctionalmmodel AT fialholeonardo radicscalabilityanalysisfunctionalmmodel AT luquefadonemilio radicscalabilityanalysisfunctionalmmodel AT perezoteronilda radicscalabilityanalysisfunctionalmmodel AT lasserrececiliamaria radicscalabilityanalysisfunctionalmmodel AT liberatorihector radicscalabilityanalysisfunctionalmmodel
bdutipo_str	Repositorios
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RADIC scalability analysis: functional Mmodel

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