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1 Ergebnisse
1
SupeRBNN: Randomized Binary Neural Network Using Adiabatic ..:
, In:
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture
,
Li, Zhengang
;
Yuan, Geng
;
Yamauchi, Tomoharu
... - p. 584-598 , 2023
Link:
https://dl.acm.org/doi/10.1145/3613424.3623771
RT T1 <cTitle>Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture</cTitle>: T1 <Title>SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3623771&Exemplar=1&LAN=DE A1 Li, Zhengang A1 Yuan, Geng A1 Yamauchi, Tomoharu A1 Masoud, Zabihi A1 Xie, Yanyue A1 Dong, Peiyan A1 Tang, Xulong A1 Yoshikawa, Nobuyuki A1 Tiwari, Devesh A1 Wang, Yanzhi A1 Chen, Olivia PB ACM YR 2023 K1 AQFP K1 BNN K1 Deep Learning K1 Stochastic Computing K1 Superconducting K1 Hardware K1 Emerging technologies K1 Computer systems organization K1 Architectures K1 Computing methodologies K1 Machine learning SP 584 OP 598 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3613424.3623771 DO https://dl.acm.org/doi/10.1145/3613424.3623771 SF ELIB - SuUB Bremen
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