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DeepRebirth: Accelerating Deep Neural Network Execution on Mobile
  Devices

DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices

16 August 2017
Dawei Li
Xiaolong Wang
Deguang Kong
ArXivPDFHTML

Papers citing "DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices"

6 / 6 papers shown
Title
Cross-filter compression for CNN inference acceleration
Cross-filter compression for CNN inference acceleration
Fuyuan Lyu
Shien Zhu
Weichen Liu
MQ
12
0
0
18 May 2020
Distributed Deep Convolutional Neural Networks for the
  Internet-of-Things
Distributed Deep Convolutional Neural Networks for the Internet-of-Things
Simone Disabato
M. Roveri
C. Alippi
11
47
0
02 Aug 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of
  DNNs
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
Mohammad Samragh
Mojan Javaheripi
F. Koushanfar
19
11
0
17 Jan 2019
How deep should be the depth of convolutional neural networks: a
  backyard dog case study
How deep should be the depth of convolutional neural networks: a backyard dog case study
A. Gorban
E. M. Mirkes
I. Tyukin
13
53
0
03 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
22
1,303
0
12 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
22
701
0
26 Feb 2018
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