An Analysis Of Hypercube Architectures For Image Pattern Recognition Algorithms

T. N. Mudge

doi:10.1117/12.940008

30 April 1987 An Analysis Of Hypercube Architectures For Image Pattern Recognition Algorithms

T. N. Mudge

Proceedings Volume 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology; (1987) https://doi.org/10.1117/12.940008
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States

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.

Citation Download Citation

T. N. Mudge "An Analysis Of Hypercube Architectures For Image Pattern Recognition Algorithms", Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); https://doi.org/10.1117/12.940008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available