A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures

This paper discusses automatic mapping methods for concurrent tasks to processors applying graph analysis for the relation among tasks, in which processing and communicating times are incorporated. Starting by an analysis in which processors are homogeneous and data transmission times do not depend...

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Autores principales: De Giusti, Laura Cristina, Chichizola, Franco, Naiouf, Marcelo, Ripoll, Ana, De Giusti, Armando Eduardo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2007
Materias:
Ciencias Informáticas
Parallel
Modeling and prediction
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9526
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-7.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9526
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
Modeling and prediction
spellingShingle Ciencias Informáticas
Parallel
Modeling and prediction
De Giusti, Laura Cristina
Chichizola, Franco
Naiouf, Marcelo
Ripoll, Ana
De Giusti, Armando Eduardo
A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
topic_facet Ciencias Informáticas
Parallel
Modeling and prediction
description This paper discusses automatic mapping methods for concurrent tasks to processors applying graph analysis for the relation among tasks, in which processing and communicating times are incorporated. Starting by an analysis in which processors are homogeneous and data transmission times do not depend on the processors that are communicating (a typical case in homogeneous clusters), we progress to extend the model to heterogeneous processors having the possibility of different communication levels, applicable to a multicluster. Some results obtained with the model and future work lines are presented, particularly, the possibility of obtaining the required optimal number of processors, keeping a constant efficiency level.
format Articulo
Articulo
author De Giusti, Laura Cristina
Chichizola, Franco
Naiouf, Marcelo
Ripoll, Ana
De Giusti, Armando Eduardo
author_facet De Giusti, Laura Cristina
Chichizola, Franco
Naiouf, Marcelo
Ripoll, Ana
De Giusti, Armando Eduardo
author_sort De Giusti, Laura Cristina
title A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
title_short A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
title_full A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
title_fullStr A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
title_full_unstemmed A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
title_sort model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/9526
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-7.pdf
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