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Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural
  Network in Embedded FPGA

Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA

31 July 2018
Junsong Wang
Qiuwen Lou
Xiaofan Zhang
Chao Zhu
Yonghua Lin
Deming Chen
    MQ
ArXivPDFHTML

Papers citing "Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA"

11 / 11 papers shown
Title
RT-RCG: Neural Network and Accelerator Search Towards Effective and
  Real-time ECG Reconstruction from Intracardiac Electrograms
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
Yongan Zhang
Anton Banta
Yonggan Fu
M. John
A. Post
M. Razavi
Joseph R. Cavallaro
B. Aazhang
Yingyan Lin
18
4
0
04 Nov 2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural
  Networks
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Cheng Gong
Ye Lu
Kunpeng Xie
Zongming Jin
Tao Li
Yanzhi Wang
MQ
25
7
0
08 Sep 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
MQ
50
17
0
11 Jun 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
50
34
0
25 Mar 2021
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
18
82
0
08 Dec 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
14
49
0
05 Nov 2020
DNA: Differentiable Network-Accelerator Co-Search
DNA: Differentiable Network-Accelerator Co-Search
Yongan Zhang
Y. Fu
Weiwen Jiang
Chaojian Li
Haoran You
Meng Li
Vikas Chandra
Yingyan Lin
13
17
0
28 Oct 2020
Automatic low-bit hybrid quantization of neural networks through meta
  learning
Automatic low-bit hybrid quantization of neural networks through meta learning
Tao Wang
Junsong Wang
Chang Xu
Chao Xue
MQ
8
2
0
24 Apr 2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs
  and ASICs
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Pengfei Xu
Xiaofan Zhang
Cong Hao
Yang Katie Zhao
Yongan Zhang
Yue Wang
Chaojian Li
Zetong Guan
Deming Chen
Yingyan Lin
23
88
0
06 Jan 2020
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on
  Embedded Systems
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Xiaofan Zhang
Haoming Lu
Cong Hao
Jiachen Li
Bowen Cheng
...
Jinjun Xiong
Thomas Huang
Humphrey Shi
Wen-mei W. Hwu
Deming Chen
39
92
0
20 Sep 2019
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng-Long Jiang
Yiyu Shi
33
4
0
26 Feb 2018
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