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Proceedings Paper

An Analysis Of Hypercube Architectures For Image Pattern Recognition Algorithms
Author(s): T. N. Mudge
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Paper Abstract

Hypercube architectures are introduced. The reasons behind their becoming the first widespread commercial massively parallel processors are outlined. A classification for image pattern recognition is proposed and characteristic algorithms are presented. Some simple ideas for organizing these algorithms to execute efficiently on hypercubes are also presented. The current programming model for hypercube machines is explained and illustrated with one of the characteristic algorithms. Preliminary performance figures are discussed for the NCUBE/six, a 84 processor commercial hypercube, followed by some concluding remarks.

Paper Details

Date Published: 30 April 1987
PDF: 13 pages
Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987);
Show Author Affiliations
T. N. Mudge, University of Michigan (United States)

Published in SPIE Proceedings Vol. 0755:
Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology
Francis J. Corbett, Editor(s)

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