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Various hardware accelerators have been developed for energy-efficient and real-time inference of neural networks on edge devices.
Optimal brain damage
Yann LeCun, John S Denker, and Sara A Solla · 1990
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Tensor-train decomposition
Ivan V Oseledets · 2011
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville · 2013
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Speeding-up convolutional neural networks using fine-tuned cp-decomposition
Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan Oseledets, and Victor Lempitsky · 2014
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Binaryconnect: Training deep neural networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David · 2015
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Song Han, Huizi Mao, and William J Dally · 2015
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Tensorizing neural networks
Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin, and Dmitry P Vetrov · 2015
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Optimizing fpga-based accelerator design for deep convolutional neural networks
Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason Cong · 2015
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Yu-Hsin Chen, Tushar Krishna, Joel S Emer, and Vivienne Sze · 2016
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Structured Bayesian pruning via log-normal multiplicative noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, and Dmitry P Vetrov · 2017
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Distributed deep neural networks over the cloud, the edge and end devices
Surat Teerapittayanon, Bradley McDanel, and Hsiang-Tsung Kung · 2017
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Compression and interpretability of deep neural networks via tucker tensor layer
Giuseppe G Calvi, Ahmad Moniri, Mahmoud Mahfouz, Qibin Zhao, and Danilo P Mandic · 2019
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T-dla: An open-source deep learning accelerator for ternarized dnn models on embedded fpga
Yao Chen, Kai Zhang, Cheng Gong, Cong Hao, Xiaofan Zhang, Tao Li, and Deming Chen · 2019
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Fpga/dnn co-design: An efficient design methodology for 1ot intelligence on the edge
Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-mei Hwu, and Deming Chen · 2019
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Tensorized embedding layers for efficient model compression
Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, and Ivan Oseledets · 2019
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Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Incremental network quantization: Towards lossless cnns with low-precision weights
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, and Yurong Chen · 2017
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Cole Hawkins, Xing Liu, and Zheng Zhang · 2020
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Ultra-low precision 4-bit training of deep neural networks
Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi Viji Srinivasan, and Kailash Gopalakrishnan · 2020
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Autodnnchip: An automated dnn chip predictor and builder for both fpgas and asics
Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, and Yingyan Lin · 2020
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