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

Autores
De Giusti, Laura Cristina; Luque Fadón, Emilio; Chichizola, Franco; Naiouf, Marcelo; De Giusti, Armando Eduardo
Año de publicación
2009
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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
Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/20915
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/20915
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architecturesDe Giusti, Laura CristinaLuque Fadón, EmilioChichizola, FrancoNaiouf, MarceloDe Giusti, Armando EduardoCiencias InformáticasParallel algorithmsModeling and predictiontask-to-processor mappingperformance predictionmulticore architecturesThe 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 paradigmsPresentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI)2009-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf272-281http://sedici.unlp.edu.ar/handle/10915/20915enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:54:26Zoai:sedici.unlp.edu.ar:10915/20915Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:26.867SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
title Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
spellingShingle Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
De Giusti, Laura Cristina
Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
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
dc.creator.none.fl_str_mv De Giusti, Laura Cristina
Luque Fadón, Emilio
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author De Giusti, Laura Cristina
author_facet De Giusti, Laura Cristina
Luque Fadón, Emilio
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_role author
author2 Luque Fadón, Emilio
Chichizola, Franco
Naiouf, Marcelo
De Giusti, Armando Eduardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
topic Ciencias Informáticas
Parallel algorithms
Modeling and prediction
task-to-processor mapping
performance prediction
multicore architectures
dc.description.none.fl_txt_mv 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
Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
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
publishDate 2009
dc.date.none.fl_str_mv 2009-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/20915
url http://sedici.unlp.edu.ar/handle/10915/20915
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
272-281
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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