Result Details

Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization

KRČMA, M.; KOTÁSEK, Z.; LOJDA, J. Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization. In Proceedings of IEEE 13th International Conference on Intelligent Computer Communication and Processing. Cluj-Nappoca: IEEE Computer Society, 2017. p. 125-132. ISBN: 978-1-5386-3368-7.
Type
conference paper
Language
English
Authors
Krčma Martin, Ing., Ph.D., DCSY (FIT)
Kotásek Zdeněk, doc. Ing., CSc., DCSY (FIT), UTKO (FEEC)
Lojda Jakub, Ing., Ph.D., DCSY (FIT)
Abstract

This paper presents the concepts of FPNA and FPNN, used for the approximation of artificial neural networks in FPGAs and introduces derived types of these concepts used by the authors. The process of transformation of a trained artificial neural network to an FPNN is  described. The diagram of the FPGA implementation is presented. The results of experiments determining the approximation capabilities of FPNNs are presented and the FPGA resources utilization are compared.

Keywords

ANN, FPNN, FPGA

Published
2017
Pages
125–132
Proceedings
Proceedings of IEEE 13th International Conference on Intelligent Computer Communication and Processing
Conference
IEEE 13th International Conference on Intelligent Computer Communication and Processing
ISBN
978-1-5386-3368-7
Publisher
IEEE Computer Society
Place
Cluj-Nappoca
DOI
10.1109/ICCP.2017.8116993
UT WoS
000417426600015
EID Scopus
2-s2.0-85041446591
BibTeX 
@inproceedings{BUT146266,
  author="Martin {Krčma} and Zdeněk {Kotásek} and Jakub {Lojda}",
  title="Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization",
  booktitle="Proceedings of  IEEE 13th International Conference on Intelligent Computer Communication and Processing",
  year="2017",
  pages="125--132",
  publisher="IEEE Computer Society",
  address="Cluj-Nappoca",
  doi="10.1109/ICCP.2017.8116993",
  isbn="978-1-5386-3368-7",
  url="https://www.fit.vut.cz/research/publication/11507/"
}
Files
Projects
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Research groups
Dependable Digital Systems Research Group (RG DEPSYS)
Departments
Department of Computer Systems (DCSY)
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