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Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating
  Deep Convolutional Neural Networks

Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating Deep Convolutional Neural Networks

4 March 2017
Shihao Wang
Dajiang Zhou
Xushen Han
T. Yoshimura
    3DV
ArXiv (abs)PDFHTML

Papers citing "Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating Deep Convolutional Neural Networks"

6 / 6 papers shown
Title
CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for
  Forward and Backward Propagation of Convolutional Neural Networks
CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for Forward and Backward Propagation of Convolutional Neural Networks
Xushen Han
Dajiang Zhou
Shihao Wang
S. Kimura
29
33
0
22 Mar 2017
EIE: Efficient Inference Engine on Compressed Deep Neural Network
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
127
2,457
0
04 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
cuDNN: Efficient Primitives for Deep Learning
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
133
1,848
0
03 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
163
2,119
0
21 Dec 2013
1