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Efficient computations of link-based similarity measures on the GPU

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dc.contributor.authorJo, Yong-Yeon-
dc.contributor.authorBae, Duck-Ho-
dc.contributor.authorKim, Sang-Wook-
dc.date.accessioned2022-07-16T13:50:31Z-
dc.date.available2022-07-16T13:50:31Z-
dc.date.created2021-05-13-
dc.date.issued2012-09-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164739-
dc.description.abstractIn this paper, we first analyze how the characteristics of the GPU affect the performance of link-based similarity measures. Based on the analysis, we describe our strategies to improve the performance of link-based similarity measures on the GPU in detail. Finally, through extensive experiments, we evaluate the effectiveness of our strategies.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleEfficient computations of link-based similarity measures on the GPU-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.doi10.1109/ICNIDC.2012.6418756-
dc.identifier.scopusid2-s2.0-84874298301-
dc.identifier.bibliographicCitationProceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012, pp.261 - 265-
dc.relation.isPartOfProceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012-
dc.citation.titleProceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012-
dc.citation.startPage261-
dc.citation.endPage265-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusEfficient computation-
dc.subject.keywordPlusGPU-
dc.subject.keywordPlusLink-based-
dc.subject.keywordPlusSimilarity measure-
dc.subject.keywordAuthorGPU-
dc.subject.keywordAuthorLink-based similarity-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6418756-
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