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dc.contributor.authorXianglan Piao-
dc.contributor.authorChannoh Kim-
dc.contributor.authorYounghwan Oh-
dc.contributor.author김한준-
dc.contributor.authorJae W. Lee-
dc.date.accessioned2018-06-18T12:24:41Z-
dc.date.available2018-06-18T12:24:41Z-
dc.date.created2015-02-10-
dc.date.issued2014-04-07-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/68043-
dc.publisherternational World Wide Web Conferences Steering Committee-
dc.relation.isPartOfthe 23rd International Conference on World Wide Web Companion-
dc.titleEfficient CPU-GPU work sharing for data-parallel JavaScript workloads-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationthe 23rd International Conference on World Wide Web Companion-
dc.citation.conferenceDate2014-04-07-
dc.citation.conferencePlaceUS-
dc.citation.titlethe 23rd International Conference on World Wide Web Companion-
dc.contributor.affiliatedAuthor김한준-
dc.description.journalClass1-
dc.description.journalClass1-

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김한준KIM, HANJUN
Dept. Convergence IT Engineering
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