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1
A Product Engine for Energy-Efficient Execution of Binary N..:
, In:
2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC)
,
Vieira, Joao
;
Giacomin, Edouard
;
Qureshi, Yasir
... - p. 160-165 , 2019
Link:
https://doi.org/10.1109/VLSI-SoC.2019.8920343
RT T1 <cTitle>2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC)</cTitle>: T1 <Title>A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8920343&Exemplar=1&LAN=DE A1 Vieira, Joao A1 Giacomin, Edouard A1 Qureshi, Yasir A1 Zapater, Marina A1 Tang, Xifan A1 Kvatinsky, Shahar A1 Atienza, David A1 Gaillardon, Pierre-Emmanuel YR 2019 SN 2324-8440 K1 Kernel K1 Engines K1 Central Processing Unit K1 Pipelines K1 Registers K1 Neural networks K1 Performance evaluation K1 Machine Learning K1 Edge Devices K1 Binary Neural Networks K1 RRAM-based Binary Dot Product Engine SP 160 OP 165 LK http://dx.doi.org/https://doi.org/10.1109/VLSI-SoC.2019.8920343 DO https://doi.org/10.1109/VLSI-SoC.2019.8920343 SF ELIB - SuUB Bremen
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