Implementation of a feed-forward artificial neural network in VHDL on FPGA

P. Dondon; J. Carvalho; R. Gardere; P. Lahalle; G. Tsenov; V.M. Mladenov

doi:10.1109/NEUREL.2014.7011454

Implementation of a feed-forward artificial neural network in VHDL on FPGA

P. Dondon, J. Carvalho, R. Gardere, P. Lahalle, G. Tsenov, V.M. Mladenov

Integrated Circuits

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

22 Citations (Scopus)

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Abstract

Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are entirely dedicated to one unique architecture and allowance to parallel programming, which is inherent to ANN calculation system and one of their advantages. Usually FPGAs do not have unlimited logical resources integrated in a single package and this limitation forcesrequirement for optimizations for the design in order to have the best efficiency in terms of speed and resource consumption. This paper deals with the VHDL designing problems which can be encountered when trying to describe and implement such ANNs on FPGAs.

Original language	English
Title of host publication	Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014
Editors	B. Reljin, S. Stankovic
Publisher	Institute of Electrical and Electronics Engineers
Pages	37-40
ISBN (Print)	978-1-4799-588-7
DOIs	https://doi.org/10.1109/NEUREL.2014.7011454
Publication status	Published - 2014

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10.1109/NEUREL.2014.7011454

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Dondon, P., Carvalho, J., Gardere, R., Lahalle, P., Tsenov, G., & Mladenov, V. M. (2014). Implementation of a feed-forward artificial neural network in VHDL on FPGA. In B. Reljin, & S. Stankovic (Eds.), Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014 (pp. 37-40). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NEUREL.2014.7011454

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abstract = "Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are entirely dedicated to one unique architecture and allowance to parallel programming, which is inherent to ANN calculation system and one of their advantages. Usually FPGAs do not have unlimited logical resources integrated in a single package and this limitation forcesrequirement for optimizations for the design in order to have the best efficiency in terms of speed and resource consumption. This paper deals with the VHDL designing problems which can be encountered when trying to describe and implement such ANNs on FPGAs.",

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Dondon, P, Carvalho, J, Gardere, R, Lahalle, P, Tsenov, G & Mladenov, VM 2014, Implementation of a feed-forward artificial neural network in VHDL on FPGA. in B Reljin & S Stankovic (eds), Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014. Institute of Electrical and Electronics Engineers, pp. 37-40. https://doi.org/10.1109/NEUREL.2014.7011454

Implementation of a feed-forward artificial neural network in VHDL on FPGA. / Dondon, P.; Carvalho, J.; Gardere, R. et al.
Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014. ed. / B. Reljin; S. Stankovic. Institute of Electrical and Electronics Engineers, 2014. p. 37-40.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Mladenov, V.M.

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Dondon P, Carvalho J, Gardere R, Lahalle P, Tsenov G, Mladenov VM. Implementation of a feed-forward artificial neural network in VHDL on FPGA. In Reljin B, Stankovic S, editors, Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014. Institute of Electrical and Electronics Engineers. 2014. p. 37-40 doi: 10.1109/NEUREL.2014.7011454

Implementation of a feed-forward artificial neural network in VHDL on FPGA

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