An Analysis Of Hypercube Architectures For Image Pattern Recognition Algorithms
Trevor Mudge · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
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.