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An exploration of digital CNN implementations

Malki, Suleyman LU and Spaanenburg, Lambert LU (2004) Swedish System-on-Chip Conference 2004 (SSoCC’04) In Proceedings SSOCC
Abstract
Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient solutions. Cellular Neural Networks have this promise. This paper explores digital realizations of such computational paradigms through the case of real-time image processing. It is shown that a behaviour-based spatial unrolling of the time-critical numerical convergence loop outperforms a classical function-based architecture. An FPGA implementation on Xilinx Virtex-II illustrates a 50 times higher throughput, bringing intelligent vision into reach.
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organization
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type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Spatial Architecture, Virtual Sensing, Cellular Neural Network, Image Processing, Real-Time System
in
Proceedings SSOCC
conference name
Swedish System-on-Chip Conference 2004 (SSoCC’04)
language
English
LU publication?
yes
id
1d42af77-7336-4817-a832-52826b0c722c (old id 603849)
date added to LUP
2007-12-04 11:43:31
date last changed
2016-07-14 15:33:47
@inproceedings{1d42af77-7336-4817-a832-52826b0c722c,
  abstract     = {Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient solutions. Cellular Neural Networks have this promise. This paper explores digital realizations of such computational paradigms through the case of real-time image processing. It is shown that a behaviour-based spatial unrolling of the time-critical numerical convergence loop outperforms a classical function-based architecture. An FPGA implementation on Xilinx Virtex-II illustrates a 50 times higher throughput, bringing intelligent vision into reach.},
  author       = {Malki, Suleyman and Spaanenburg, Lambert},
  booktitle    = {Proceedings SSOCC},
  keyword      = {Spatial Architecture,Virtual Sensing,Cellular Neural Network,Image Processing,Real-Time System},
  language     = {eng},
  title        = {An exploration of digital CNN implementations},
  year         = {2004},
}