Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis

A MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. MPAHA considers the heterogeneity of processors and communications. From the results obtained with the MPAHA mo...

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Autores principales: De Giusti, Laura Cristina, Naiouf, Marcelo, Chichizola, Franco, Luque Fadón, Emilio, De Giusti, Armando Eduardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2009
Materias:
Ciencias Informáticas
Scheduling
Parallel algorithms
Distributed architectures
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/20904
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-20904
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
Scheduling
Parallel algorithms
Distributed architectures
spellingShingle Ciencias Informáticas
Scheduling
Parallel algorithms
Distributed architectures
De Giusti, Laura Cristina
Naiouf, Marcelo
Chichizola, Franco
Luque Fadón, Emilio
De Giusti, Armando Eduardo
Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
topic_facet Ciencias Informáticas
Scheduling
Parallel algorithms
Distributed architectures
description A MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. MPAHA considers the heterogeneity of processors and communications. From the results obtained with the MPAHA model, the AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment is presented and its implementation is analyzed. DCS_AMTHA, a dynamic scheduling strategy for multiple applications on heterogeneous multiprocessor architectures, is defined and experimental results focusing on global efficiency are presented. Finally, current lines of research related with model extensions for clusters of multicores are mentioned.
format Objeto de conferencia
Objeto de conferencia
author De Giusti, Laura Cristina
Naiouf, Marcelo
Chichizola, Franco
Luque Fadón, Emilio
De Giusti, Armando Eduardo
author_facet De Giusti, Laura Cristina
Naiouf, Marcelo
Chichizola, Franco
Luque Fadón, Emilio
De Giusti, Armando Eduardo
author_sort De Giusti, Laura Cristina
title Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
title_short Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
title_full Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
title_fullStr Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
title_full_unstemmed Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
title_sort dynamic scheduling in heterogeneous multiprocessor architectures : efficiency analysis
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/20904
work_keys_str_mv AT degiustilauracristina dynamicschedulinginheterogeneousmultiprocessorarchitecturesefficiencyanalysis
AT naioufmarcelo dynamicschedulinginheterogeneousmultiprocessorarchitecturesefficiencyanalysis
AT chichizolafranco dynamicschedulinginheterogeneousmultiprocessorarchitecturesefficiencyanalysis
AT luquefadonemilio dynamicschedulinginheterogeneousmultiprocessorarchitecturesefficiencyanalysis
AT degiustiarmandoeduardo dynamicschedulinginheterogeneousmultiprocessorarchitecturesefficiencyanalysis
bdutipo_str Repositorios
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