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1 Ergebnisse
1
MSD: Mixing Signed Digit Representations for Hardware-effic..:
, In:
2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
,
Wu, Jiajun
;
Zhou, Jiajun
;
Gao, Yizhao
... - p. 94-104 , 2023
Link:
https://doi.org/10.1109/FCCM57271.2023.00019
RT T1 <cTitle>2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)</cTitle>: T1 <Title>MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10171562&Exemplar=1&LAN=DE A1 Wu, Jiajun A1 Zhou, Jiajun A1 Gao, Yizhao A1 Ding, Yuhao A1 Wong, Ngai A1 So, Hayden Kwok-Hay YR 2023 SN 2576-2621 K1 Quantization (signal) K1 Processor scheduling K1 Computational modeling K1 Artificial neural networks K1 Optimal scheduling K1 Hardware K1 Table lookup K1 FPGA K1 Hardware Acceleration K1 DNN K1 Signed Digit Reresentation SP 94 OP 104 LK http://dx.doi.org/https://doi.org/10.1109/FCCM57271.2023.00019 DO https://doi.org/10.1109/FCCM57271.2023.00019 SF ELIB - SuUB Bremen
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