Tabu Search on GPU

dc.creatorJaniak,Adam
dc.creatorJaniak,Wladyslaw
dc.creatorLichtenstein,Maciej
dc.date2008
dc.date.accessioned2024-02-06T12:56:53Z
dc.date.available2024-02-06T12:56:53Z
dc.descriptionNowadays Personal Computers (PCs) are often equipped with powerful, multi-core CPU. However, the processing power of the modern PC does not depend only of the processing power of the CPU and can be increased by proper use of the GPGPU, i.e. General-Purpose Computation Using Graphics Hardware. Modern graphics hardware, initially developed for computer graphics generation, appeared to be flexible enough for general-purpose computations. In this paper we present the implementation of two optimization algorithms based on the tabu search technique, namely for the traveling salsesman problem and the flow shop scheduling problem. Both algorithms are implemented in two versions and utilize, respectively, multi-core CPU, and GPU. The extensive numerical experiments confirm the high computation power of GPU and show that tabu search algorithm run on modern GPU can be even 16 times faster than run on modern CPU.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-14-2416
dc.identifierhttps://lib.jucs.org/article/29150/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9833
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(14): 2416-2427
dc.subjectgraphics hardware
dc.subjecttabu search
dc.subjecttraveling salesman
dc.subjectflow shop
dc.titleTabu Search on GPU
dc.typeResearch Article
Файлы