Publication: Implementing a CNN Universal Machine on...
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| Title: | Implementing a CNN Universal Machine on FPGA: state-of-the-art and key challenges |
| Subtitle: | |
| Abstract: | Cellular Neural Networks (CNN) is a massive computing paradigm which became very popular in the last decades. A Cellular Neural Network Universal Machine is an extension of the CNN concept. An implementation of CNN-UM on Field Programmable Gate Arrays (FPGA) appears attractive because their full computational power comes to a life only in hardware. Besides FPGA there are many different possibilities to implement a CNN-UM. The following questions will be answered while reading this paper: What is the CNN paradigm? Which application areas are of interest and what requirements are to meet? What is a CNN-UM? Which ways are possible to implement a CNN-UM – what are the differences? Which problems occur while implementing a CNN-UM on FPGA? Keywords. Cellular Neural Network, FPGA, CNN-UM, Image processing. |
| Keywords: |
| Publication type: | Article in compilation (Authorship) |
| Publication date: | 06.2009 (Print) |
| Published by: |
ISTET 2009 XV International Symposium on Theoretical Electrical Engineering
ISTET 2009 XV International Symposium on Theoretical Electrical Engineering
(
VDE Verband der Elektrotechnik Elektronik Informationstechnik e.V. ;
Informationstechnische Gesellschaft im VDE (ITG)
)
to publication |
| Title of the series: | - |
| Volume number: | - |
| First publication: | Yes |
| Page: | pp. 347 - 351 |
Versionen
| Keine Version vorhanden |
| Publication date: | 06.2009 |
| ISBN: | - |
| ISSN: | - |
| Homepage: | http://vi.uni-klu.ac.at/publications/papers/Schwarzlmueller_Paper_ISTET09.pdf |
Authors
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Ch. Schwarzlmüller
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K. Kyamakya
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| Kyandoghere Kyamakya (internal) |
| Christopher Schwarzlmüller (internal) |
Assignment
| Organisation | Address | ||||
|---|---|---|---|---|---|
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Fakultät für Technische Wissenschaften
Institut für Intelligente Systemtechnologien
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AT - 9020 Klagenfurt am Wörthersee |
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