Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures

The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment and the MPAHA (Model of Parallel Algorithms on Heterogeneous Architectures) model are presented. The use of AMTHA is analyzed for multicore processor-based architectures, considering the co...

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Detalles Bibliográficos
Autores principales: De Giusti, Laura Cristina, Luque Fadón, Emilio, Chichizola, Franco, Naiouf, Marcelo, De Giusti, Armando Eduardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2009
Materias:
Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/20915
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-20915
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 algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
spellingShingle Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
De Giusti, Laura Cristina
Luque Fadón, Emilio
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
topic_facet Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
description The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment and the MPAHA (Model of Parallel Algorithms on Heterogeneous Architectures) model are presented. The use of AMTHA is analyzed for multicore processor-based architectures, considering the communication model among processes in use. The results obtained in the tests carried out are presented, comparing the real execution times on multicores of a set of synthetic applications with the predictions obtained with AMTHA. Finally current lines of research are presented, focusing on clusters of multicores and hybrid programming paradigms
format Objeto de conferencia
Objeto de conferencia
author De Giusti, Laura Cristina
Luque Fadón, Emilio
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_facet De Giusti, Laura Cristina
Luque Fadón, Emilio
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_sort De Giusti, Laura Cristina
title Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
title_short Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
title_full Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
title_fullStr Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
title_full_unstemmed Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
title_sort automatic mapping tasks to cores : evaluating amtha algorithm in multicore architectures
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/20915
work_keys_str_mv AT degiustilauracristina automaticmappingtaskstocoresevaluatingamthaalgorithminmulticorearchitectures
AT luquefadonemilio automaticmappingtaskstocoresevaluatingamthaalgorithminmulticorearchitectures
AT chichizolafranco automaticmappingtaskstocoresevaluatingamthaalgorithminmulticorearchitectures
AT naioufmarcelo automaticmappingtaskstocoresevaluatingamthaalgorithminmulticorearchitectures
AT degiustiarmandoeduardo automaticmappingtaskstocoresevaluatingamthaalgorithminmulticorearchitectures
bdutipo_str Repositorios
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