Reference : A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory...
Scientific journals : Article
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/41331
A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems
English
Antoniadis, Nikolaos mailto [University of Macedonia, Thessaloniki, Greece > Department of Applied Informatics]
Sifaleras, Angelo mailto [University of Macedonia, Thessaloniki, Greece > Department of Applied Informatics]
Apr-2017
Electronic Notes in Discrete Mathematics
58
4th International Conference on Variable Neighborhood Search
47 - 54
Yes
International
1571-0653
[en] Variable Neighborhood Search ; Parallel Computing ; CPU-GPU computing ; OpenMP ; OpenACC
[en] In this paper, we study various parallelization schemes for the Variable Neighborhood Search (VNS) metaheuristic on a CPU-GPU system via OpenMP and OpenACC. A hybrid parallel VNS method is applied to recent benchmark problem instances for the multi-product dynamic lot sizing problem with product returns and recovery, which appears in reverse logistics and is known to be NP-hard. We report our findings regarding these parallelization approaches and present promising computational results.
http://hdl.handle.net/10993/41331
10.1016/j.endm.2017.03.007
http://www.sciencedirect.com/science/article/pii/S1571065317300434

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