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1 Ergebnisse
1
C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network ..:
, In:
2023 IEEE International Solid- State Circuits Conference (ISSCC)
,
Kim, Sangyeob
;
Kim, Soyeon
;
Hong, Seongyon
... - p. 334-336 , 2023
Link:
https://doi.org/10.1109/ISSCC42615.2023.10067497
RT T1
2023 IEEE International Solid- State Circuits Conference (ISSCC)
: T1
C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity Generation
UL https://suche.suub.uni-bremen.de/peid=ieee-10067497&Exemplar=1&LAN=DE A1 Kim, Sangyeob A1 Kim, Soyeon A1 Hong, Seongyon A1 Kim, Sangjin A1 Han, Donghyeon A1 Yoo, Hoi-Jun YR 2023 SN 2376-8606 K1 Training K1 Energy consumption K1 Power demand K1 Neurons K1 Computer architecture K1 Energy efficiency K1 Biology SP 334 OP 336 LK http://dx.doi.org/https://doi.org/10.1109/ISSCC42615.2023.10067497 DO https://doi.org/10.1109/ISSCC42615.2023.10067497 SF ELIB - SuUB Bremen
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