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Convolution on mesh connected multicomputers

Journal Article · · IEEE (Institute of Electrical and Electronics Engineers) Transactions on Pattern Analysis and Machine Intelligence; (USA)
DOI:https://doi.org/10.1109/34.49056· OSTI ID:7052130
 [1];  [2]
  1. School of Computer and Information Science, Syracuse Univ., Syracuse, NY (US)
  2. Minnesota Univ., Minneapolis, MN (USA). Dept. of Computer Science
Convolution is an important primitive in computer vision and image processing. The authors present an efficient algorithm for convolution on a mesh connected computer with wrap-around. Their algorithm does not require a broadcast feature for data values as assumed by previously proposed algorithms. As a result, the algorithm is applicable both to SIMD as well s MIMD meshes. For an {ital N} {times} {ital N} image and a {ital M} {times}{ital M} template, the previous algorithms take {ital O}({ital M}{sup 2}{ital q}) time on an {ital N} {times} {ital N} mesh connected multicomputer ({ital q} is the number of bits in each entry of the convolution matrix). The authors' algorithms have complexity {ital O}({ital M}{sup 2}{ital r}) where {ital r} = max {l brace}number of bits in an image entry, number of bits in a template entry{r brace}. In addition to not requiring a broadcast capability, the authors' algorithms are faster for binary images.
OSTI ID:
7052130
Journal Information:
IEEE (Institute of Electrical and Electronics Engineers) Transactions on Pattern Analysis and Machine Intelligence; (USA), Journal Name: IEEE (Institute of Electrical and Electronics Engineers) Transactions on Pattern Analysis and Machine Intelligence; (USA) Vol. 12:3; ISSN 0162-8828; ISSN ITPID
Country of Publication:
United States
Language:
English

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