Design Space Exploration for the integrated digital CNN Camera
(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:
https://lup.lub.lu.se/record/1301311
- author
- Malki, Suleyman LU and Spaanenburg, Lambert LU
- organization
- publishing date
- 2008
- 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}}, }