Conference paper

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.
Publication language:english
Original title:Triple Modular Redundancy Used in Field Programmable Neural Networks
Title (cs):TMR technika použitá na FPNN
Pages:1-6
Proceedings:Proceedings of IEEE East-West Design & Test Symposium
Conference:15th IEEE EAST-WEST DESIGN & TEST SYMPOSIUM
Place:Novi Sad, RS
Year:2017
ISBN:978-1-5386-3298-7
Publisher:IEEE Computer Society
Keywords
Tripple Modular Redundancy, FPNN, Aritificial Neural networks, Fault Tolerance
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=11446}
}

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