An Energy-Efficient Unified Deep Neural Network Accelerator with Fully-Variable Weight Precision for Mobile Deep Learning Applications

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dc.contributor.authorLee, Jinmookko
dc.contributor.authorKim, Changhyeonko
dc.contributor.authorKang, Sanghoonko
dc.contributor.authorShin, Dongjooko
dc.contributor.authorKim, Sangyeobko
dc.contributor.authorYoo, Hoi-Junko
dc.date.accessioned2019-04-15T14:36:30Z-
dc.date.available2019-04-15T14:36:30Z-
dc.date.created2018-12-19-
dc.date.issued2018-08-
dc.identifier.citationHot Chips: A Symposium on High Performance Chips-
dc.identifier.urihttp://hdl.handle.net/10203/254217-
dc.languageEnglish-
dc.publisherHot Chips: A Symposium on High Performance Chips-
dc.titleAn Energy-Efficient Unified Deep Neural Network Accelerator with Fully-Variable Weight Precision for Mobile Deep Learning Applications-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameHot Chips: A Symposium on High Performance Chips-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationFlint Center for the Performing Arts, Cupertino-
dc.contributor.localauthorYoo, Hoi-Jun-
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EE-Conference Papers(학술회의논문)
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