A bi-objective hybrid genetic algorithm ...
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling
Auteur(s) :
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Mezmaz, Mohand [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Lee, Young Choon [Auteur]
Centre for Distributed and High Performance Computing
Melab, Nouredine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Zomaya, Albert [Auteur]
Centre for Distributed and High Performance Computing

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Mezmaz, Mohand [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Lee, Young Choon [Auteur]
Centre for Distributed and High Performance Computing
Melab, Nouredine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Zomaya, Albert [Auteur]
Centre for Distributed and High Performance Computing
Titre de la manifestation scientifique :
WCCI 2010 - IEEE World Congress on Computational Intelligence
Ville :
Barcelona
Pays :
Espagne
Date de début de la manifestation scientifique :
2010-07-18
Date de publication :
2010-07-11
Discipline(s) HAL :
Computer Science [cs]/Operations Research [math.OC]
Résumé en anglais : [en]
Precedence-constrained parallel applications are one of the most typical application model used in scientific and engineering fields. Almost all efforts, on this kind of applications, have focused on the minimization of ...
Lire la suite >Precedence-constrained parallel applications are one of the most typical application model used in scientific and engineering fields. Almost all efforts, on this kind of applications, have focused on the minimization of makespan (completion time). It is only recently that much attention has been paid to energy consumption. In this paper, we address the precedence-constrained parallel applications on heterogeneous computing systems (HCSs). We propose a new bi-objective hybrid genetic algorithm that takes into account, not only makespan, but also energy consumption. This metaheuristic adopts dynamic voltage scaling (DVS) to minimize energy consumption. Our study provides promising results showing the significance and potential of DVS. The experimental results from our comparative evaluation study confirm the superior performance of our approach over the other known heuristics on the two criteria energy saving and completion time.Lire moins >
Lire la suite >Precedence-constrained parallel applications are one of the most typical application model used in scientific and engineering fields. Almost all efforts, on this kind of applications, have focused on the minimization of makespan (completion time). It is only recently that much attention has been paid to energy consumption. In this paper, we address the precedence-constrained parallel applications on heterogeneous computing systems (HCSs). We propose a new bi-objective hybrid genetic algorithm that takes into account, not only makespan, but also energy consumption. This metaheuristic adopts dynamic voltage scaling (DVS) to minimize energy consumption. Our study provides promising results showing the significance and potential of DVS. The experimental results from our comparative evaluation study confirm the superior performance of our approach over the other known heuristics on the two criteria energy saving and completion time.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :