DNPU: An 8.1TOPS/W Reconfigurable CNN-RNN Processor for General-Purpose Deep Neural Networks

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dc.contributor.authorShin, Dongjooko
dc.contributor.authorLee, Jinmookko
dc.contributor.authorLee, Jinsuko
dc.contributor.authorYoo, Hoi-Junko
dc.date.accessioned2019-01-22T08:16:25Z-
dc.date.available2019-01-22T08:16:25Z-
dc.date.created2018-12-19-
dc.date.created2018-12-19-
dc.date.created2018-12-19-
dc.date.issued2017-02-
dc.identifier.citation64th IEEE International Solid-State Circuits Conference (ISSCC), pp.240 - 242-
dc.identifier.issn0193-6530-
dc.identifier.urihttp://hdl.handle.net/10203/248955-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleDNPU: An 8.1TOPS/W Reconfigurable CNN-RNN Processor for General-Purpose Deep Neural Networks-
dc.typeConference-
dc.identifier.wosid000403393800097-
dc.identifier.scopusid2-s2.0-85016233263-
dc.type.rimsCONF-
dc.citation.beginningpage240-
dc.citation.endingpage242-
dc.citation.publicationname64th IEEE International Solid-State Circuits Conference (ISSCC)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationSan Francisco Marriott Marquis-
dc.identifier.doi10.1109/isscc.2017.7870350-
dc.contributor.localauthorYoo, Hoi-Jun-
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EE-Conference Papers(학술회의논문)
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