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Poster: A Novel Shared Memory Framework for Distributed Deep Learning in High-Performance Computing Architecture

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dc.contributor.authorAhn, Shinyoung-
dc.contributor.authorKim, Joongheon-
dc.contributor.authorKang, Sungwon-
dc.date.accessioned2022-04-11T10:40:15Z-
dc.date.available2022-04-11T10:40:15Z-
dc.date.issued2018-05-
dc.identifier.issn2574-1926-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56191-
dc.description.abstractThis paper proposes a novel virtual shared memory framework, Soft Memory Box (SMB), which directly shares the memory of remote nodes among distributed processes to improve communication performance/speed via deep learning parameter sharing.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titlePoster: A Novel Shared Memory Framework for Distributed Deep Learning in High-Performance Computing Architecture-
dc.typeArticle-
dc.identifier.doi10.1145/3183440.3195091-
dc.identifier.bibliographicCitationPROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION, pp 191 - 192-
dc.description.isOpenAccessN-
dc.identifier.wosid000450109000066-
dc.identifier.scopusid2-s2.0-85048260468-
dc.citation.endPage192-
dc.citation.startPage191-
dc.citation.titlePROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthorDistributed deep learning-
dc.subject.keywordAuthorremote shared memory-
dc.subject.keywordAuthorparameter sharing-
dc.subject.keywordAuthorHPC-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.description.journalRegisteredClassscopus-
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