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Fault-Tolerance in Imaging-Oriented Systolic Arrays

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Neural Computers

Part of the book series: Springer Study Edition ((SSE,volume 41))

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Abstract

Image Processing often involves convolutions and Fourier Transforms (DFT and FFT): these specific operations are well implemented by means of a systolic multi-pipeline structure.

Practical implementations require large pipelines, adopting highly integrated circuits that are prone to production defects and run-time faults; efficient fault-tolerance through reconfiguration is then required.

Still, the basic problem of concurrent (or semi-concurrent) testing must be solved prior to any reconfiguration step. Here, we prove how these structures allow to perform testing by a simple technique (based on the classical LSSD method) so that added circuits required due to testing functions is kept very limited.

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© 1989 Springer-Verlag Berlin Heidelberg

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Negrini, R., Sami, M.G., Scarabottolo, N., Stefanelli, R. (1989). Fault-Tolerance in Imaging-Oriented Systolic Arrays. In: Eckmiller, R., v.d. Malsburg, C. (eds) Neural Computers. Springer Study Edition, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83740-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-83740-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-50892-2

  • Online ISBN: 978-3-642-83740-1

  • eBook Packages: Springer Book Archive

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