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Transparent GPU memory management for DNNs

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dc.contributor.authorPark-
dc.contributor.authorJ.-
dc.contributor.authorJung, Wookeun-
dc.contributor.authorW.-
dc.contributor.authorCho, Hyungmin-
dc.contributor.authorH.-
dc.contributor.authorLee-
dc.contributor.authorJ.-
dc.date.available2021-03-17T08:42:41Z-
dc.date.created2021-02-26-
dc.date.issued2018-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/13024-
dc.titleTransparent GPU memory management for DNNs-
dc.typeArticle-
dc.contributor.affiliatedAuthorCho, Hyungmin-
dc.identifier.doi10.1145/3178487.3178531-
dc.identifier.scopusid2-s2.0-85044304261-
dc.identifier.bibliographicCitationProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, pp.411 - 412-
dc.relation.isPartOfProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP-
dc.citation.titleProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP-
dc.citation.startPage411-
dc.citation.endPage412-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
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