[en] This article introduces an efficient multithreading local search algorithm for solving the multiobjective scheduling problem in heterogeneous computing systems considering the makespan and energy consumption objectives. The proposed method follows a fully multiobjective approach using a Pareto-based dominance search executed in parallel. The experimental analysis demonstrates that the new multithreading algorithm outperforms a set of deterministic heuristics based on Min-Min. The new method is able to achieve significant improvements in both objectives in reduced execution times for a broad set of testbed instances.
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-398
Author, co-author :
Iturriaga, Santiago; Universidad de la República, Uruguay
Nesmachnow, Sergio; Universidad de la República, Uruguay
DORRONSORO, Bernabé ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Language :
English
Title :
A Multithreading Local Search For Multiobjective Energy-Aware Scheduling In Heterogeneous Computing Systems
Publication date :
2012
Event name :
European Conference on Modelling and Simulation (ECMS)
Event place :
Koblenz, Germany
Event date :
from 29-05-2012 to 1-06-2012
Main work title :
European Conference on Modelling and Simulation (ECMS)
ISBN/EAN :
978-0-9564944-4-3
Pages :
1 - 7
Peer reviewed :
Peer reviewed
Commentary :
26th European Conference on Modelling and Simulation (ECMS)
