Dorronsoro, Bernabé[University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2012
European Conference on Modelling and Simulation (ECMS)
1 - 7
Yes
978-0-9564944-4-3
European Conference on Modelling and Simulation (ECMS)
from 29-05-2012 to 1-06-2012
Koblenz
Germany
[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.
University of Luxembourg: High Performance Computing - ULHPC