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1 Ergebnisse
1
Going Deeper with Embedded FPGA Platform for Convolutional ..:
, In:
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
,
Qiu, Jiantao
;
Wang, Jie
;
Yao, Song
... - p. 26-35 , 2016
Link:
https://dl.acm.org/doi/10.1145/2847263.2847265
RT T1 <cTitle>Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays</cTitle>: T1 <Title>Going Deeper with Embedded FPGA Platform for Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2847265&Exemplar=1&LAN=DE A1 Qiu, Jiantao A1 Wang, Jie A1 Yao, Song A1 Guo, Kaiyuan A1 Li, Boxun A1 Zhou, Erjin A1 Yu, Jincheng A1 Tang, Tianqi A1 Xu, Ningyi A1 Song, Sen A1 Wang, Yu A1 Yang, Huazhong PB ACM YR 2016 K1 bandwidth utilization K1 convolutional neural network (cnn) K1 dynamic-precision data quantization K1 embedded fpga K1 Hardware K1 Integrated circuits K1 Reconfigurable logic and FPGAs K1 Hardware accelerators K1 Computer systems organization K1 Architectures K1 Other architectures K1 Special purpose systems SP 26 OP 35 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2847263.2847265 DO https://dl.acm.org/doi/10.1145/2847263.2847265 SF ELIB - SuUB Bremen
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