Publication Details

Triple Modular Redundancy Used in Field Programmable Neural Networks

KRČMA Martin, LOJDA Jakub and KOTÁSEK Zdeněk. Triple Modular Redundancy Used in Field Programmable Neural Networks. In: Proceedings of IEEE East-West Design & Test Symposium. Novi Sad: IEEE Computer Society, 2017, pp. 1-6. ISBN 978-1-5386-3298-7.
Czech title
TMR technika použitá na FPNN
Type
conference paper
Language
english
Authors
Krčma Martin, Ing. (DCSY FIT BUT)
Lojda Jakub, Ing. (DCSY FIT BUT)
Kotásek Zdeněk, doc. Ing., CSc. (DCSY FIT BUT)
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
Conference
15th IEEE EAST-WEST DESIGN & TEST SYMPOSIUM, Dr Zorana Đinđića 1, 21101, Novi Sad, RS
ISBN
978-1-5386-3298-7
Publisher
IEEE Computer Society
Place
Novi Sad, RS
BibTeX
@INPROCEEDINGS{FITPUB11446,
   author = "Martin Kr\v{c}ma and Jakub Lojda and Zden\v{e}k Kot\'{a}sek",
   title = "Triple Modular Redundancy Used in Field Programmable Neural Networks",
   pages = "1--6",
   booktitle = "Proceedings of IEEE East-West Design \& Test Symposium",
   year = 2017,
   location = "Novi Sad, RS",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5386-3298-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11446"
}
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