Optimized Cellular Neural Network Universal Machine emulation on FPGA

Giovanni Egidio Pazienza; Jordi Bellana-Camañes; Jordi Riera-Baburés; Xavier Vilasís-Cardona; Marco Antonio Moreno-Armendáriz; Marco Balsi

doi:10.1109/ECCTD.2007.4529721

Optimized Cellular Neural Network Universal Machine emulation on FPGA

Giovanni Egidio Pazienza, Jordi Bellana-Camañes, Jordi Riera-Baburés, Xavier Vilasís-Cardona, Marco Antonio Moreno-Armendáriz, Marco Balsi

Centro de Investigación en Computación (CIC)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

An FPGA architecture to emulate a single-layer Cellular Neural Network - Universal Machine (CNN-UM) is proposed. It is based on a fast realization of the CNN convolution operation on the parallel hardware of the FPGA. The setup is capable of performing a CNN iteration over a 30×30 pixel image in less than 30 μs. Moreover, this platform has been used to realize the visual system of an autonomous mobile robot.

Idioma original	Inglés
Título de la publicación alojada	European Conference on Circuit Theory and Design 2007, ECCTD 2007
Editorial	IEEE Computer Society
Páginas	815-818
Número de páginas	4
ISBN (versión impresa)	1424413427, 9781424413423
DOI	https://doi.org/10.1109/ECCTD.2007.4529721
Estado	Publicada - 2007
Evento	European Conference on Circuit Theory and Design 2007, ECCTD 2007 - Seville, Espana Duración: 26 ago. 2007 → 30 ago. 2007

Serie de la publicación

Nombre	European Conference on Circuit Theory and Design 2007, ECCTD 2007

Conferencia

Conferencia	European Conference on Circuit Theory and Design 2007, ECCTD 2007
País/Territorio	Espana
Ciudad	Seville
Período	26/08/07 → 30/08/07

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10.1109/ECCTD.2007.4529721

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Pazienza, G. E., Bellana-Camañes, J., Riera-Baburés, J., Vilasís-Cardona, X., Moreno-Armendáriz, M. A., & Balsi, M. (2007). Optimized Cellular Neural Network Universal Machine emulation on FPGA. En European Conference on Circuit Theory and Design 2007, ECCTD 2007 (pp. 815-818). Artículo 4529721 (European Conference on Circuit Theory and Design 2007, ECCTD 2007). IEEE Computer Society. https://doi.org/10.1109/ECCTD.2007.4529721

@inproceedings{73745d620aed4914b53bbf143f78917f,

title = "Optimized Cellular Neural Network Universal Machine emulation on FPGA",

abstract = "An FPGA architecture to emulate a single-layer Cellular Neural Network - Universal Machine (CNN-UM) is proposed. It is based on a fast realization of the CNN convolution operation on the parallel hardware of the FPGA. The setup is capable of performing a CNN iteration over a 30×30 pixel image in less than 30 μs. Moreover, this platform has been used to realize the visual system of an autonomous mobile robot.",

author = "Pazienza, {Giovanni Egidio} and Jordi Bellana-Cama{\~n}es and Jordi Riera-Babur{\'e}s and Xavier Vilas{\'i}s-Cardona and Moreno-Armend{\'a}riz, {Marco Antonio} and Marco Balsi",

year = "2007",

doi = "10.1109/ECCTD.2007.4529721",

language = "Ingl{\'e}s",

isbn = "1424413427",

series = "European Conference on Circuit Theory and Design 2007, ECCTD 2007",

publisher = "IEEE Computer Society",

pages = "815--818",

booktitle = "European Conference on Circuit Theory and Design 2007, ECCTD 2007",

address = "Estados Unidos",

note = "European Conference on Circuit Theory and Design 2007, ECCTD 2007 ; Conference date: 26-08-2007 Through 30-08-2007",

}

Pazienza, GE, Bellana-Camañes, J, Riera-Baburés, J, Vilasís-Cardona, X, Moreno-Armendáriz, MA & Balsi, M 2007, Optimized Cellular Neural Network Universal Machine emulation on FPGA. En European Conference on Circuit Theory and Design 2007, ECCTD 2007., 4529721, European Conference on Circuit Theory and Design 2007, ECCTD 2007, IEEE Computer Society, pp. 815-818, European Conference on Circuit Theory and Design 2007, ECCTD 2007, Seville, Espana, 26/08/07. https://doi.org/10.1109/ECCTD.2007.4529721

Optimized Cellular Neural Network Universal Machine emulation on FPGA. / Pazienza, Giovanni Egidio; Bellana-Camañes, Jordi; Riera-Baburés, Jordi et al.
European Conference on Circuit Theory and Design 2007, ECCTD 2007. IEEE Computer Society, 2007. p. 815-818 4529721 (European Conference on Circuit Theory and Design 2007, ECCTD 2007).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Optimized Cellular Neural Network Universal Machine emulation on FPGA

AU - Pazienza, Giovanni Egidio

AU - Bellana-Camañes, Jordi

AU - Riera-Baburés, Jordi

AU - Vilasís-Cardona, Xavier

AU - Moreno-Armendáriz, Marco Antonio

AU - Balsi, Marco

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AB - An FPGA architecture to emulate a single-layer Cellular Neural Network - Universal Machine (CNN-UM) is proposed. It is based on a fast realization of the CNN convolution operation on the parallel hardware of the FPGA. The setup is capable of performing a CNN iteration over a 30×30 pixel image in less than 30 μs. Moreover, this platform has been used to realize the visual system of an autonomous mobile robot.

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DO - 10.1109/ECCTD.2007.4529721

M3 - Contribución a la conferencia

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SN - 1424413427

SN - 9781424413423

T3 - European Conference on Circuit Theory and Design 2007, ECCTD 2007

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BT - European Conference on Circuit Theory and Design 2007, ECCTD 2007

PB - IEEE Computer Society

T2 - European Conference on Circuit Theory and Design 2007, ECCTD 2007

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ER -

Pazienza GE, Bellana-Camañes J, Riera-Baburés J, Vilasís-Cardona X, Moreno-Armendáriz MA, Balsi M. Optimized Cellular Neural Network Universal Machine emulation on FPGA. En European Conference on Circuit Theory and Design 2007, ECCTD 2007. IEEE Computer Society. 2007. p. 815-818. 4529721. (European Conference on Circuit Theory and Design 2007, ECCTD 2007). doi: 10.1109/ECCTD.2007.4529721

Optimized Cellular Neural Network Universal Machine emulation on FPGA

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