Publication Details

Triple Modular Redundancy Used in Field Programmable Neural Networks

KRČMA, M.; LOJDA, J.; KOTÁSEK, Z. Triple Modular Redundancy Used in Field Programmable Neural Networks. In Proceedings of IEEE East-West Design & Test Symposium. Novi Sad: IEEE Computer Society, 2017. p. 1-6. ISBN: 978-1-5386-3299-4.
Czech title
TMR technika použitá na FPNN
Type
conference paper
Language
English
Authors
Krčma Martin, Ing., Ph.D. (UFYZ)
Lojda Jakub, Ing., Ph.D. (DCSY)
Kotásek Zdeněk, doc. Ing., CSc.
Keywords

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

Abstract

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.

Published
2017
Pages
1–6
Proceedings
Proceedings of IEEE East-West Design & Test Symposium
ISBN
978-1-5386-3299-4
Publisher
IEEE Computer Society
Place
Novi Sad
DOI
10.1109/EWDTS.2017.8110128
UT WoS
000426878200101
EID Scopus
2-s2.0-85040520044
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/"
}
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