RADIC scalability analysis: functional Mmodel

Autores
Méndez, Sandra; Pérez Ibarra, Marcelo; Rexachs del Rosario, Dolores; Fialho, Leonardo; Luque Fadón, Emilio; Pérez Otero, Nilda; Lasserre, Cecilia María; Liberatori, Héctor
Año de publicación
2009
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Fault tolerance
Parallel
High Performance Computing
cluster
overhead
RADIC
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/20923
Acceder
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network_name_str SEDICI (UNLP)
spelling RADIC scalability analysis: functional MmodelMéndez, SandraPérez Ibarra, MarceloRexachs del Rosario, DoloresFialho, LeonardoLuque Fadón, EmilioPérez Otero, NildaLasserre, Cecilia MaríaLiberatori, HéctorCiencias InformáticasFault toleranceParallelHigh Performance ComputingclusteroverheadRADICIn 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.Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI)2009-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf311-320http://sedici.unlp.edu.ar/handle/10915/20923enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:47:04Zoai:sedici.unlp.edu.ar:10915/20923Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:05.153SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv RADIC scalability analysis: functional Mmodel
title RADIC scalability analysis: functional Mmodel
spellingShingle RADIC scalability analysis: functional Mmodel
Méndez, Sandra
Ciencias Informáticas
Fault tolerance
Parallel
High Performance Computing
cluster
overhead
RADIC
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
dc.creator.none.fl_str_mv Méndez, Sandra
Pérez Ibarra, Marcelo
Rexachs del Rosario, Dolores
Fialho, Leonardo
Luque Fadón, Emilio
Pérez Otero, Nilda
Lasserre, Cecilia María
Liberatori, Héctor
author Méndez, Sandra
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_role author
author2 Pérez Ibarra, Marcelo
Rexachs del Rosario, Dolores
Fialho, Leonardo
Luque Fadón, Emilio
Pérez Otero, Nilda
Lasserre, Cecilia María
Liberatori, Héctor
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Fault tolerance
Parallel
High Performance Computing
cluster
overhead
RADIC
topic Ciencias Informáticas
Fault tolerance
Parallel
High Performance Computing
cluster
overhead
RADIC
dc.description.none.fl_txt_mv 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.
Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
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.
publishDate 2009
dc.date.none.fl_str_mv 2009-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/20923
url http://sedici.unlp.edu.ar/handle/10915/20923
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
311-320
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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