Hypercube Algorithms: with Applications to Image Processing and Pattern Recognition by Sanjay Ranka, Sartaj SahniEnglish | PDF | 1990 | 240 Pages | ISBN : 1461396948 | 3.7 MB
Fundamentals algorithms for SIMD and MIMD hypercubes are developed. These include algorithms for such problems as data broadcasting, data sum, prefix sum, shift, data circulation, data accumulation, sorting, random access reads and writes and data permutation. The fundamental algorithms are then used to obtain efficient hypercube algorithms for matrix multiplication, image processing problems such as convolution, template matching, hough transform, clustering and image processing transformation, and string editing.