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Titlebook: Hypercube Algorithms; with Applications to Sanjay Ranka,Sartaj Sahni Textbook 1990 Springer-Verlag New York Inc. 1990 algorithm.algorithms.

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書目名稱Hypercube Algorithms
副標(biāo)題with Applications to
編輯Sanjay Ranka,Sartaj Sahni
視頻videohttp://file.papertrans.cn/431/430623/430623.mp4
叢書名稱Bilkent University Lecture Series
圖書封面Titlebook: Hypercube Algorithms; with Applications to Sanjay Ranka,Sartaj Sahni Textbook 1990 Springer-Verlag New York Inc. 1990 algorithm.algorithms.
描述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. Most of the algorithms in this book are for hypercubes with the number of processors being a function of problems size. However, for image processing problems, the book also includes algorithms for and MIMD hypercube with a small number of processes. Experimental results on an NCUBE/77 MIMD hypercube are also presented. The book is suitable for use in a one-semester or one-quarter course on hypercube algorithms. For students with no prior exposure to parallel algorithms, it is recommended that one week will be spent on the material in chapter 1, about six weeks on chapter 2 and one week on chapter 3. The remainder of the term can be spent covering topics from the rest of
出版日期Textbook 1990
關(guān)鍵詞algorithm; algorithms; clustering; image processing; pattern; pattern recognition; programming; template; al
版次1
doihttps://doi.org/10.1007/978-1-4613-9692-5
isbn_softcover978-1-4613-9694-9
isbn_ebook978-1-4613-9692-5Series ISSN 1431-0848
issn_series 1431-0848
copyrightSpringer-Verlag New York Inc. 1990
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Textbook 1990sum, 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 transfor
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Sanjay Ranka,Sartaj Sahnilly due to tumor resection and tissue displacement. Classical image registration techniques oftentimes fail in vicinity of the tumor, where the enclosing structures are massively altered from one scan to another. Still, locations nearby the tumor or the resection cavity are the most relevant for eva
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Sanjay Ranka,Sartaj Sahnir, as a result of the staining process, the tissue slides are being deformed and registration is required before further processing. The importance of this problem led to organizing an open challenge named Automatic Non-rigid Histological Image Registration Challenge (ANHIR), organized jointly with
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