Methodology for efficient Execution of SPMD applications on Multicore Clusters
- Autores
- Muresano, Ronal
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- reseña artículo
- Estado
- versión publicada
- Descripción
- Nowadays, the scientific applications are developed with more complexity and accuracy and these precisions need high computational resources to be executed. Also, the current trend in high performance computing (HPC) is to find clusters composed of Multicore nodes, and these nodes include heterogeneity levels which have to be handled carefully if we want to improve the performance metrics. The integration of these Multicore nodes in HPC (High Performance Computing) has allowed the inclusion of more parallelism within nodes, but this parallelism generates challenges that have to be managed considering some troubles present in these environments that affect the application efficiency and speedup. Aspects associated to number of cores, data locality, shared cache, communications link inside the node, etc are considered relevant when our goal is to improve the performance.
Facultad de Informática - Materia
-
Ciencias Informáticas
Parallel
multicore
high performance computing - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9704
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Methodology for efficient Execution of SPMD applications on Multicore ClustersMuresano, RonalCiencias InformáticasParallelmulticorehigh performance computingNowadays, the scientific applications are developed with more complexity and accuracy and these precisions need high computational resources to be executed. Also, the current trend in high performance computing (HPC) is to find clusters composed of Multicore nodes, and these nodes include heterogeneity levels which have to be handled carefully if we want to improve the performance metrics. The integration of these Multicore nodes in HPC (High Performance Computing) has allowed the inclusion of more parallelism within nodes, but this parallelism generates challenges that have to be managed considering some troubles present in these environments that affect the application efficiency and speedup. Aspects associated to number of cores, data locality, shared cache, communications link inside the node, etc are considered relevant when our goal is to improve the performance.Facultad de Informática2011-10info:eu-repo/semantics/reviewinfo:eu-repo/semantics/publishedVersionRevisionhttp://purl.org/coar/resource_type/c_dcae04bcinfo:ar-repo/semantics/resenaArticuloapplication/pdf111-112http://sedici.unlp.edu.ar/handle/10915/9704enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct11-TO2.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:23:39Zoai:sedici.unlp.edu.ar:10915/9704Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:23:39.314SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
title |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
spellingShingle |
Methodology for efficient Execution of SPMD applications on Multicore Clusters Muresano, Ronal Ciencias Informáticas Parallel multicore high performance computing |
title_short |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
title_full |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
title_fullStr |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
title_full_unstemmed |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
title_sort |
Methodology for efficient Execution of SPMD applications on Multicore Clusters |
dc.creator.none.fl_str_mv |
Muresano, Ronal |
author |
Muresano, Ronal |
author_facet |
Muresano, Ronal |
author_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Parallel multicore high performance computing |
topic |
Ciencias Informáticas Parallel multicore high performance computing |
dc.description.none.fl_txt_mv |
Nowadays, the scientific applications are developed with more complexity and accuracy and these precisions need high computational resources to be executed. Also, the current trend in high performance computing (HPC) is to find clusters composed of Multicore nodes, and these nodes include heterogeneity levels which have to be handled carefully if we want to improve the performance metrics. The integration of these Multicore nodes in HPC (High Performance Computing) has allowed the inclusion of more parallelism within nodes, but this parallelism generates challenges that have to be managed considering some troubles present in these environments that affect the application efficiency and speedup. Aspects associated to number of cores, data locality, shared cache, communications link inside the node, etc are considered relevant when our goal is to improve the performance. Facultad de Informática |
description |
Nowadays, the scientific applications are developed with more complexity and accuracy and these precisions need high computational resources to be executed. Also, the current trend in high performance computing (HPC) is to find clusters composed of Multicore nodes, and these nodes include heterogeneity levels which have to be handled carefully if we want to improve the performance metrics. The integration of these Multicore nodes in HPC (High Performance Computing) has allowed the inclusion of more parallelism within nodes, but this parallelism generates challenges that have to be managed considering some troubles present in these environments that affect the application efficiency and speedup. Aspects associated to number of cores, data locality, shared cache, communications link inside the node, etc are considered relevant when our goal is to improve the performance. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-10 |
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format |
review |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/9704 |
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http://sedici.unlp.edu.ar/handle/10915/9704 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
eu_rights_str_mv |
openAccess |
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http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
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application/pdf 111-112 |
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