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KRČMA, M.; LOJDA, J.; KOTÁSEK, Z.
Original Title
Triple Modular Redundancy Used in Field Programmable Neural Networks
English Title
Type
Paper in proceedings (conference paper)
Original 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.
English abstract
Keywords
Tripple Modular Redundancy, FPNN, Aritificial Neural networks, Fault Tolerance
Key words in English
Authors
RIV year
2018
Released
29.09.2017
Publisher
IEEE Computer Society
Location
Novi Sad
ISBN
978-1-5386-3299-4
Book
Proceedings of IEEE East-West Design & Test Symposium
Pages from
1
Pages to
6
Pages count
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/" }
Documents
econp2p03