Loop parallelization automation for graphics processing units

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dc.contributor.authorDoroshenko, Anatoliy
dc.contributor.authorBeketov, Olexii
dc.contributor.authorYatsenko, Olena
dc.date.accessioned2023-04-18T09:12:48Z
dc.date.available2023-04-18T09:12:48Z
dc.date.issued2020
dc.description.abstractA technology that allows extending GPU capabilities to deal with data volumes that outfit internal GPU’s memory capacity is proposed. It involves loop tiling and data serialization and can be applied to utilize clusters consisting of several GPUs. Applicability criterion is specified and a semi-automatic proof-of-concept software tool is implemented. The experiment to demonstrate the feasibility of the proposed technology is described.uk
dc.format.pagerangePp. 15-25uk
dc.identifier.citationDoroshenko, A. Loop parallelization automation for graphics processing units / Doroshenko Anatoliy, Beketov Olexii, Yatsenko Olena // Information, Computing and Intelligent systems. – 2020. – No. 1. – Pp. 15–25. – Bibliogr.: 14 ref.uk
dc.identifier.doihttps://doi.org/10.20535/2708-4930.1.2020.216044
dc.identifier.orcid0000-0002-8435-1451uk
dc.identifier.orcid0000-0003-4715-5053uk
dc.identifier.orcid0000-0002-4700-6704uk
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/54663
dc.language.isoenuk
dc.publisherNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"uk
dc.publisher.placeKyivuk
dc.relation.ispartofInformation, Computing and Intelligent systems, No. 1uk
dc.subjectCUDAuk
dc.subjectgeneral-purpose computing on graphics processing unitsuk
dc.subjectloop optimizationuk
dc.subjectparallelization methodsuk
dc.subject.udc004.4’24uk
dc.titleLoop parallelization automation for graphics processing unitsuk
dc.typeArticleuk

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Information, Computing and Intelligent systems, No. 1