Detail publikace

Triple Modular Redundancy Used in Field Programmable Neural Networks

KRČMA, M. LOJDA, J. KOTÁSEK, Z.

Originální název

Triple Modular Redundancy Used in Field Programmable Neural Networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents the concepts of FPNA and FPNN, used for the approximation of artificial neural networks in FPGAs and discusses the usage of TMR technique in order to reach a fault tolerance. The schemes of the FPGA implementation are presented. The results of experiments determining the FPGA resources utilization with different usage of the TMR technique are provided.

Klíčová slova

Tripple Modular Redundancy, FPNN, Aritificial Neural networks, Fault Tolerance

Autoři

KRČMA, M.; LOJDA, J.; KOTÁSEK, Z.

Vydáno

29. 9. 2017

Nakladatel

IEEE Computer Society

Místo

Novi Sad

ISBN

978-1-5386-3299-4

Kniha

Proceedings of IEEE East-West Design & Test Symposium

Strany od

1

Strany do

6

Strany počet

6

URL

https://www.fit.vut.cz/research/publication/11446/

BibTex

@inproceedings{BUT146262,
  author="Martin {Krčma} and Jakub {Lojda} and Zdeněk {Kotásek}",
  title="Triple Modular Redundancy Used in Field Programmable Neural Networks",
  booktitle="Proceedings of IEEE East-West Design & Test Symposium",
  year="2017",
  pages="1--6",
  publisher="IEEE Computer Society",
  address="Novi Sad",
  doi="10.1109/EWDTS.2017.8110128",
  isbn="978-1-5386-3299-4",
  url="https://www.fit.vut.cz/research/publication/11446/"
}