A 1.93 TOPS/W Scalable Deep Learning/Inference Processor with Tetra-parallel MIMD Architecture for Big Data Applications

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 1827
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorYoo, Hoi-Junko
dc.contributor.authorPark, Seongwookko
dc.contributor.authorBong, Kyeongryeolko
dc.contributor.authorShin, Dongjooko
dc.contributor.authorLee, Jinmookko
dc.contributor.authorChoi, Sungpillko
dc.date.accessioned2016-04-18T05:21:10Z-
dc.date.available2016-04-18T05:21:10Z-
dc.date.created2015-11-19-
dc.date.created2015-11-19-
dc.date.issued2015-02-23-
dc.identifier.citationIEEE International Solid- State Circuits Conference, pp.80 - 81-
dc.identifier.urihttp://hdl.handle.net/10203/204565-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleA 1.93 TOPS/W Scalable Deep Learning/Inference Processor with Tetra-parallel MIMD Architecture for Big Data Applications-
dc.typeConference-
dc.identifier.scopusid2-s2.0-84940782827-
dc.type.rimsCONF-
dc.citation.beginningpage80-
dc.citation.endingpage81-
dc.citation.publicationnameIEEE International Solid- State Circuits Conference-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationSan Francisco Marriott-
dc.contributor.localauthorYoo, Hoi-Jun-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0