Performance comparison of parallel programming paradigms on a multicore cluster

Currently, most supercomputers are multicore clusters. This type of architectures is said to be hybrid, because they combine distributed memory with shared memory. Traditional parallel programming paradigms (message passing and shared memory) cannot be naturally adapted to the hardware features offe...

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Detalles Bibliográficos
Autores principales:	Rucci, Enzo, Chichizola, Franco, Naiouf, Marcelo, De Giusti, Armando Eduardo
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2012
Materias:	Ciencias Informáticas Parallel programming languages Parallel computing methodologies
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/80059
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-80059
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 Parallel programming languages Parallel computing methodologies
spellingShingle	Ciencias Informáticas Parallel programming languages Parallel computing methodologies Rucci, Enzo Chichizola, Franco Naiouf, Marcelo De Giusti, Armando Eduardo Performance comparison of parallel programming paradigms on a multicore cluster
topic_facet	Ciencias Informáticas Parallel programming languages Parallel computing methodologies
description	Currently, most supercomputers are multicore clusters. This type of architectures is said to be hybrid, because they combine distributed memory with shared memory. Traditional parallel programming paradigms (message passing and shared memory) cannot be naturally adapted to the hardware features offered by these architectures. A parallel paradigm that combines message passing with shared memory is expected to better exploit them. Therefore, in this paper the performance of two parallel programming paradigms (message passing and combination of message passing with shared memory) is analyzed for multicore clusters. The study case used is the construction of phylogenetic trees by means of the Neighbor-Joining method. Finally, conclusions and future research lines are presented.
format	Articulo Articulo
author	Rucci, Enzo Chichizola, Franco Naiouf, Marcelo De Giusti, Armando Eduardo
author_facet	Rucci, Enzo Chichizola, Franco Naiouf, Marcelo De Giusti, Armando Eduardo
author_sort	Rucci, Enzo
title	Performance comparison of parallel programming paradigms on a multicore cluster
title_short	Performance comparison of parallel programming paradigms on a multicore cluster
title_full	Performance comparison of parallel programming paradigms on a multicore cluster
title_fullStr	Performance comparison of parallel programming paradigms on a multicore cluster
title_full_unstemmed	Performance comparison of parallel programming paradigms on a multicore cluster
title_sort	performance comparison of parallel programming paradigms on a multicore cluster
publishDate	2012
url	http://sedici.unlp.edu.ar/handle/10915/80059
work_keys_str_mv	AT ruccienzo performancecomparisonofparallelprogrammingparadigmsonamulticorecluster AT chichizolafranco performancecomparisonofparallelprogrammingparadigmsonamulticorecluster AT naioufmarcelo performancecomparisonofparallelprogrammingparadigmsonamulticorecluster AT degiustiarmandoeduardo performancecomparisonofparallelprogrammingparadigmsonamulticorecluster
bdutipo_str	Repositorios
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Performance comparison of parallel programming paradigms on a multicore cluster

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