Effect of Mismatch on the Reliability of ON/OFF-Programmable CNNs

In this paper, the reliability of computation of ON/OFF-programmable cellular nonlinear networks (CNNs) is analyzed. This paper redefines the classical concept of robustness (tolerance to physical imperfections) in ON/OFF-programmable CNNs so that it can be used to predict the computation reliabilit...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2009-10, Vol.56 (10), p.2259-2269
Main Authors: Laiho, M., Brea, V., Paasio, A.
Format: Article
Language:English
Subjects:
Analog processing circuits
Cellular communication
cellular logic arrays
Cellular networks
Cellular neural networks
Circuits
Computation
Computer networks
Error probability
Errors
Guidelines
Logic arrays
Logic circuits
Optimization
Parallel architectures
Physics computing
reliability estimation
Robustness
threshold logic
Tolerances
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Summary:In this paper, the reliability of computation of ON/OFF-programmable cellular nonlinear networks (CNNs) is analyzed. This paper redefines the classical concept of robustness (tolerance to physical imperfections) in ON/OFF-programmable CNNs so that it can be used to predict the computation reliability of a physical realization. Also, a systematic approach to improve robustness is described, and guidelines for optimizing reliability with the given resources are given. Random mismatch is identified as the main source of errors in a physical realization. At the presence of random mismatch, we describe the probability of a cell producing an error with specific inputs and the error probability when processing random data. In addition, we show how the error probability could be defined in case the cell needs to work correctly with all possible input combinations.
ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2008.2012232