LNPU: An Energy-Efficient Deep-Neural-Network Training Processor with Fine-Grained Mixed Precision

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dc.contributor.authorLee, Jinsuko
dc.contributor.authorLee, Juhyoungko
dc.contributor.authorHan, Donghyeonko
dc.contributor.authorLee, Jinmookko
dc.contributor.authorPark, Gwangtaeko
dc.contributor.authorYoo, Hoi-Junko
dc.date.accessioned2019-12-13T10:26:14Z-
dc.date.available2019-12-13T10:26:14Z-
dc.date.created2019-11-27-
dc.date.issued2019-08-
dc.identifier.citationHot Chips 2019: A Symposium on High-Performance Chips-
dc.identifier.urihttp://hdl.handle.net/10203/269334-
dc.languageEnglish-
dc.publisherHOT CHIPS-
dc.titleLNPU: An Energy-Efficient Deep-Neural-Network Training Processor with Fine-Grained Mixed Precision-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameHot Chips 2019: A Symposium on High-Performance Chips-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationThe Memorial Auditorium, Stanford University-
dc.contributor.localauthorYoo, Hoi-Jun-
dc.contributor.nonIdAuthorLee, Jinsu-
dc.contributor.nonIdAuthorLee, Juhyoung-
dc.contributor.nonIdAuthorHan, Donghyeon-
dc.contributor.nonIdAuthorLee, Jinmook-
dc.contributor.nonIdAuthorPark, Gwangtae-
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EE-Conference Papers(학술회의논문)
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