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Performance of parallel consistency algorithms

  • Track 3: Parallel Processing
  • Conference paper
  • First Online:
Computing in the 90's (Great Lakes CS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 507))

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Abstract

Consistency algorithms are used to reduce the overall computation time for consistent labeling problem which is commonly used in computer vision. We have given parallel algorithms to enforce arc consistency, which has been shown to be inherently sequential[3,6]. Since all three parallel algorithms have the same time complexity on a PRAM, it is necessary to implement them on a parallel processor to determine which one performs best. The results of implementing them on a BBN Butterfly are presented here.

This work was done at the University of Utah and was partially supported by NSF Grants MSC-8221750, DCR-8506393, and DMC-8502115.

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References

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  7. Ashok Samal and Thomas C. Henderson. Parallel consistent labeling algorithms. International Journal of Parallel Programming, 16(5):341–364, 1988.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Nebraska, 68588, Lincoln, NE

    Ashok Samal

Authors
  1. Ashok Samal
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Editor information

Naveed A. Sherwani Elise de Doncker John A. Kapenga

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© 1991 Springer-Verlag Berlin Heidelberg

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Samal, A. (1991). Performance of parallel consistency algorithms. In: Sherwani, N.A., de Doncker, E., Kapenga, J.A. (eds) Computing in the 90's. Great Lakes CS 1989. Lecture Notes in Computer Science, vol 507. Springer, New York, NY. https://doi.org/10.1007/BFb0038484

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  • DOI: https://doi.org/10.1007/BFb0038484

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97628-0

  • Online ISBN: 978-0-387-34815-5

  • eBook Packages: Springer Book Archive

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