Robustness analysis for the method of assignment MATEHa

The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors based on the TTIGHa model. This paper analyzes the assignment algorithm robustness...

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Detalles Bibliográficos
Autores principales: De Giusti, Laura Cristina, Chichizola, Franco, Naiouf, Marcelo, De Giusti, Armando Eduardo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2008
Materias:
Ciencias Informáticas
cluster and multicluster architectures
heterogeneous processor
Parallel processing
Modeling and prediction
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9616
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr08-1.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9616
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
cluster and multicluster architectures
heterogeneous processor
Parallel processing
Modeling and prediction
spellingShingle Ciencias Informáticas
cluster and multicluster architectures
heterogeneous processor
Parallel processing
Modeling and prediction
De Giusti, Laura Cristina
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
Robustness analysis for the method of assignment MATEHa
topic_facet Ciencias Informáticas
cluster and multicluster architectures
heterogeneous processor
Parallel processing
Modeling and prediction
description The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors based on the TTIGHa model. This paper analyzes the assignment algorithm robustness before different variations which the model parameters may undergo (basically, communication and processing times).
format Articulo
Articulo
author De Giusti, Laura Cristina
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_facet De Giusti, Laura Cristina
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_sort De Giusti, Laura Cristina
title Robustness analysis for the method of assignment MATEHa
title_short Robustness analysis for the method of assignment MATEHa
title_full Robustness analysis for the method of assignment MATEHa
title_fullStr Robustness analysis for the method of assignment MATEHa
title_full_unstemmed Robustness analysis for the method of assignment MATEHa
title_sort robustness analysis for the method of assignment mateha
publishDate 2008
url http://sedici.unlp.edu.ar/handle/10915/9616
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr08-1.pdf
work_keys_str_mv AT degiustilauracristina robustnessanalysisforthemethodofassignmentmateha
AT chichizolafranco robustnessanalysisforthemethodofassignmentmateha
AT naioufmarcelo robustnessanalysisforthemethodofassignmentmateha
AT degiustiarmandoeduardo robustnessanalysisforthemethodofassignmentmateha
bdutipo_str Repositorios
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