Skip to Main content Skip to Navigation
Conference papers

Large Neighborhood Local Search Optimization on Graphics Processing Units

Thé Van Luong 1 Nouredine Melab 1 El-Ghazali Talbi 1
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as ``walks through neighborhoods'' where the walks are performed by iterative procedures that allow to move from a solution to another one in the solution space. In these heuristics, designing operators to explore large promising regions of the search space may improve the quality of the obtained solutions at the expense of a highly computationally process. Therefore, the use of graphics processing units (GPUs) provides an efficient complementary way to speed up the search. However, designing applications on GPU is still complex and error-prone. We provide a methodology to design and implement large neighborhood LS algorithms on GPU. Finding efficient mappings of the neighborhood structures onto the GPU threads organization is a challenging issue dealt with in this paper. The work has been experimented for binary problems by deploying multiple neighborhood structures. The obtained results are convincing both in terms of efficiency, quality and robustness of the provided solutions at run time.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/inria-00520465
Contributor : Thé Van Luong <>
Submitted on : Thursday, September 23, 2010 - 12:41:18 PM
Last modification on : Thursday, May 28, 2020 - 9:22:09 AM
Document(s) archivé(s) le : Thursday, June 30, 2011 - 1:30:37 PM

File

journalGPU.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00520465, version 1

Citation

Thé Van Luong, Nouredine Melab, El-Ghazali Talbi. Large Neighborhood Local Search Optimization on Graphics Processing Units. Workshop on Large-Scale Parallel Processing (LSPP) in Conjunction with the International Parallel & Distributed Processing Symposium (IPDPS), 2010, Atlanta, United States. ⟨inria-00520465⟩

Share

Metrics

Record views

366

Files downloads

657