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Accelerating Vector Based Spatial Analysis by Optimizing Data Transfers

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dc.contributor.authorCui, Shulin-
dc.contributor.authorZhang, Shuqing-
dc.contributor.authorZhang, Jun-
dc.date.accessioned2024-01-20T09:03:03Z-
dc.date.available2024-01-20T09:03:03Z-
dc.date.issued2015-04-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117851-
dc.description.abstractThe main goal of this article is to discuss how to accelerate vector based spatial analysis by optimizing data transfers in CUDA C. First we give a new data transfers method based on geometry objects. Then we discuss how to overlap data transfers with computation on GPU. Furthermore we compare the new GPU-based methods with the CPU-based method by using Point-In-Polygon operation. The experimental results show that the new methods are efficient in computation.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleAccelerating Vector Based Spatial Analysis by Optimizing Data Transfers-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ICISCE.2015.29-
dc.identifier.scopusid2-s2.0-84938792027-
dc.identifier.wosid000380392400021-
dc.identifier.bibliographicCitation2015 2nd International Conference on Information Science and Control Engineering, pp 92 - 95-
dc.citation.title2015 2nd International Conference on Information Science and Control Engineering-
dc.citation.startPage92-
dc.citation.endPage95-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusGPU-
dc.subject.keywordAuthorCUDA-
dc.subject.keywordAuthoroverlap data transfers-
dc.subject.keywordAuthorGPU-based-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7120569-
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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