APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments
Given the availability of computer clusters based on multi-core processors, the hybrid programming model has become an important ally of high-performance computing users in improving the performance of their parallel applications. However, creating hybrid applications is a complex task because it re...
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2013
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/34513 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-10.pdf |
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I19-R120-10915-34513 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas parallel programming hybrid model MPI OpenMP auto-parallelism |
spellingShingle |
Ciencias Informáticas parallel programming hybrid model MPI OpenMP auto-parallelism Costa, André Luiz Lima da Souza, Josemar Rodrigues de APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments |
topic_facet |
Ciencias Informáticas parallel programming hybrid model MPI OpenMP auto-parallelism |
description |
Given the availability of computer clusters based on multi-core processors, the hybrid programming model has become an important ally of high-performance computing users in improving the performance of their parallel applications. However, creating hybrid applications is a complex task because it requires developers to be familiar with two distinct parallel programming models. Against this background, this article introduces APCM, an auto-parallelism computational model. APCM’s goal is to create hybrid parallel applications, i.e., OpenMP (memory programming) and a message-passing interface (MPI), from MPI applications. This goal is achieved in a simple, automated manner that is transparent for the user while increasing application performance. In the article’s conclusion, we present consistent results that attest the efficacy of the proposed model. |
format |
Articulo Articulo |
author |
Costa, André Luiz Lima da Souza, Josemar Rodrigues de |
author_facet |
Costa, André Luiz Lima da Souza, Josemar Rodrigues de |
author_sort |
Costa, André Luiz Lima da |
title |
APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments |
title_short |
APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments |
title_full |
APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments |
title_fullStr |
APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments |
title_full_unstemmed |
APCM: An Auto-Parallelism Computational Model : Increasing the performance of MPI applications in multi-core environments |
title_sort |
apcm: an auto-parallelism computational model : increasing the performance of mpi applications in multi-core environments |
publishDate |
2013 |
url |
http://sedici.unlp.edu.ar/handle/10915/34513 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-10.pdf |
work_keys_str_mv |
AT costaandreluizlimada apcmanautoparallelismcomputationalmodelincreasingtheperformanceofmpiapplicationsinmulticoreenvironments AT souzajosemarrodriguesde apcmanautoparallelismcomputationalmodelincreasingtheperformanceofmpiapplicationsinmulticoreenvironments |
bdutipo_str |
Repositorios |
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1764820469959098368 |