Parallel matrix multiplication on heterogeneous networks of workstations
- Autores
- Tinetti, Fernando Gustavo; Luque Fadón, Emilio
- Año de publicación
- 2002
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of workstations (local area networks) used as parallel machines. Two algorithms are proposed taking into account the specific kind of parallel hardware provided by local area networks, and experimentation is used to drive the evaluation and identification of possible performance loss. A specific broadcast communication between processes of a parallel application is also proposed, taking advantage of the Ethernet interconnection network to achieve optimized performance. A special emphasis is place on already installed networks of workstations, which provide a hardware zero cost parallel computer; but a homogeneous Beowulf-class system is used to show how the algorithms are also useful on current classical high performance parallel computing with clusters.
Eje: Lenguajes
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Parallel
Languages
Cluster Computing
Heterogenous Parallel Computers
High Performance Computing
Performance Evaluation
Linear Algebra Applications - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23051
Ver los metadatos del registro completo
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Parallel matrix multiplication on heterogeneous networks of workstationsTinetti, Fernando GustavoLuque Fadón, EmilioCiencias InformáticasParallelLanguagesCluster ComputingHeterogenous Parallel ComputersHigh Performance ComputingPerformance EvaluationLinear Algebra ApplicationsMatrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of workstations (local area networks) used as parallel machines. Two algorithms are proposed taking into account the specific kind of parallel hardware provided by local area networks, and experimentation is used to drive the evaluation and identification of possible performance loss. A specific broadcast communication between processes of a parallel application is also proposed, taking advantage of the Ethernet interconnection network to achieve optimized performance. A special emphasis is place on already installed networks of workstations, which provide a hardware zero cost parallel computer; but a homogeneous Beowulf-class system is used to show how the algorithms are also useful on current classical high performance parallel computing with clusters.Eje: LenguajesRed de Universidades con Carreras en Informática (RedUNCI)2002-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf962-969http://sedici.unlp.edu.ar/handle/10915/23051enginfo: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:UNLP2025-09-03T10:28:07Zoai:sedici.unlp.edu.ar:10915/23051Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:28:07.396SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Parallel matrix multiplication on heterogeneous networks of workstations |
title |
Parallel matrix multiplication on heterogeneous networks of workstations |
spellingShingle |
Parallel matrix multiplication on heterogeneous networks of workstations Tinetti, Fernando Gustavo Ciencias Informáticas Parallel Languages Cluster Computing Heterogenous Parallel Computers High Performance Computing Performance Evaluation Linear Algebra Applications |
title_short |
Parallel matrix multiplication on heterogeneous networks of workstations |
title_full |
Parallel matrix multiplication on heterogeneous networks of workstations |
title_fullStr |
Parallel matrix multiplication on heterogeneous networks of workstations |
title_full_unstemmed |
Parallel matrix multiplication on heterogeneous networks of workstations |
title_sort |
Parallel matrix multiplication on heterogeneous networks of workstations |
dc.creator.none.fl_str_mv |
Tinetti, Fernando Gustavo Luque Fadón, Emilio |
author |
Tinetti, Fernando Gustavo |
author_facet |
Tinetti, Fernando Gustavo Luque Fadón, Emilio |
author_role |
author |
author2 |
Luque Fadón, Emilio |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Parallel Languages Cluster Computing Heterogenous Parallel Computers High Performance Computing Performance Evaluation Linear Algebra Applications |
topic |
Ciencias Informáticas Parallel Languages Cluster Computing Heterogenous Parallel Computers High Performance Computing Performance Evaluation Linear Algebra Applications |
dc.description.none.fl_txt_mv |
Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of workstations (local area networks) used as parallel machines. Two algorithms are proposed taking into account the specific kind of parallel hardware provided by local area networks, and experimentation is used to drive the evaluation and identification of possible performance loss. A specific broadcast communication between processes of a parallel application is also proposed, taking advantage of the Ethernet interconnection network to achieve optimized performance. A special emphasis is place on already installed networks of workstations, which provide a hardware zero cost parallel computer; but a homogeneous Beowulf-class system is used to show how the algorithms are also useful on current classical high performance parallel computing with clusters. Eje: Lenguajes Red de Universidades con Carreras en Informática (RedUNCI) |
description |
Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of workstations (local area networks) used as parallel machines. Two algorithms are proposed taking into account the specific kind of parallel hardware provided by local area networks, and experimentation is used to drive the evaluation and identification of possible performance loss. A specific broadcast communication between processes of a parallel application is also proposed, taking advantage of the Ethernet interconnection network to achieve optimized performance. A special emphasis is place on already installed networks of workstations, which provide a hardware zero cost parallel computer; but a homogeneous Beowulf-class system is used to show how the algorithms are also useful on current classical high performance parallel computing with clusters. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-10 |
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/10915/23051 |
url |
http://sedici.unlp.edu.ar/handle/10915/23051 |
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 962-969 |
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reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
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SEDICI (UNLP) |
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SEDICI (UNLP) |
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Universidad Nacional de La Plata |
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UNLP |
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UNLP |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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13.13397 |