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Design Space Exploration for the integrated digital CNN Camera

Malki, Suleyman LU and Spaanenburg, Lambert LU (2008) IEEE Int. Conference on Information Technology (IT), 2008 p.107-110
Abstract
The main thrust of CNN technology has been in analog implementations. Early attempts for digital implementations have a limited potential, confining the usage to for instance linear algorithms for B/W pictures. The paper looks into the prospects of successfully integrating the full CNN potential. This requires a carefully tuning of memory and network-on-chip bandwidth to the temporal/spatial aspects of the neural nodes. The paper introduces an exploration model and discusses architecture with application to streaming grey-scale images.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Cellular Neural Network, Memory Bandwidth, DDR Memory, Smart Vision, Network on Chip
host publication
1st International Conference on Information Technology, 2008
editor
Stenowski, Andrzej ; Moszynski, Marek ; Kochanski, Thaddeus and Dabrowski, Jacek
pages
107 - 110
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Int. Conference on Information Technology (IT), 2008
conference location
Gdansk, Poland
conference dates
2008-05-18 - 2008-05-21
external identifiers
  • wos:000259080600025
  • scopus:57849164589
ISBN
978-1-4244-2244-9
DOI
10.1109/INFTECH.2008.4621602
language
English
LU publication?
yes
id
4b91337c-f97a-499a-b4de-2b985d3c797c (old id 1301311)
date added to LUP
2016-04-04 11:49:51
date last changed
2022-01-29 22:31:06
@inproceedings{4b91337c-f97a-499a-b4de-2b985d3c797c,
  abstract     = {{The main thrust of CNN technology has been in analog implementations. Early attempts for digital implementations have a limited potential, confining the usage to for instance linear algorithms for B/W pictures. The paper looks into the prospects of successfully integrating the full CNN potential. This requires a carefully tuning of memory and network-on-chip bandwidth to the temporal/spatial aspects of the neural nodes. The paper introduces an exploration model and discusses architecture with application to streaming grey-scale images.}},
  author       = {{Malki, Suleyman and Spaanenburg, Lambert}},
  booktitle    = {{1st International Conference on Information Technology, 2008}},
  editor       = {{Stenowski, Andrzej and Moszynski, Marek and Kochanski, Thaddeus and Dabrowski, Jacek}},
  isbn         = {{978-1-4244-2244-9}},
  keywords     = {{Cellular Neural Network; Memory Bandwidth; DDR Memory; Smart Vision; Network on Chip}},
  language     = {{eng}},
  pages        = {{107--110}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Design Space Exploration for the integrated digital CNN Camera}},
  url          = {{http://dx.doi.org/10.1109/INFTECH.2008.4621602}},
  doi          = {{10.1109/INFTECH.2008.4621602}},
  year         = {{2008}},
}