Article (Scientific journals)
Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search
Iturriaga, Santiago; Nesmachnow, Sergio; Dorronsoro, Bernabe et al.
2013In Computing and Informatics, 32 (2), p. 273-294
Peer reviewed
 

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Keywords :
scheduling; local search; multithreading
Abstract :
[en] This article introduces ME-MLS, an e cient multithreading local search algorithm for solving the multiobjective scheduling problem in heterogeneous com- puting systems. We consider the minimization of both the makespan and energy consumption objectives. The proposed method follows a fully multiobjective ap- proach, applying a Pareto-based dominance search that is executed in parallel by using several threads. The experimental analysis demonstrates that the new multi- threading algorithm outperforms a set of fast and accurate two-phases deterministic heuristics based on the traditional MinMin. The new ME-MLS method is able to achieve signi cant improvements in both makespan and energy consumption objec- tives in reduced execution times for a large set of testbed instances, while exhibiting a near linear speedup behavior when using up to 24 threads.
Disciplines :
Computer science
Author, co-author :
Iturriaga, Santiago
Nesmachnow, Sergio
Dorronsoro, Bernabe
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search
Publication date :
2013
Journal title :
Computing and Informatics
ISSN :
1335-9150
Volume :
32
Issue :
2
Pages :
273-294
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 19 November 2013

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