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

La Salle International School of Commerce and Digital Economy

Research output: Book chapter › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	European Conference on Circuit Theory and Design 2007, ECCTD 2007
Publisher	IEEE Computer Society
Pages	815-818
Number of pages	4
ISBN (Print)	1424413427, 9781424413423
DOIs	https://doi.org/10.1109/ECCTD.2007.4529721
Publication status	Published - 2007
Event	European Conference on Circuit Theory and Design 2007, ECCTD 2007 - Seville, Spain Duration: 26 Aug 2007 → 30 Aug 2007

Publication series

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

Conference

Conference	European Conference on Circuit Theory and Design 2007, ECCTD 2007
Country/Territory	Spain
City	Seville
Period	26/08/07 → 30/08/07

Access to Document

10.1109/ECCTD.2007.4529721

Cite this

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. In European Conference on Circuit Theory and Design 2007, ECCTD 2007 (pp. 815-818). Article 4529721 (European Conference on Circuit Theory and Design 2007, ECCTD 2007). IEEE Computer Society. https://doi.org/10.1109/ECCTD.2007.4529721

@inproceedings{de0c038ce619471885ffd3ccc35e9935,

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 = "English",

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 = "United States",

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. in 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, Spain, 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).

Research output: Book chapter › Conference contribution › peer-review

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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

PY - 2007

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N2 - 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.

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 - Conference contribution

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SN - 1424413427

SN - 9781424413423

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

SP - 815

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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

Y2 - 26 August 2007 through 30 August 2007

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. In 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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