| 書目名稱 | Hypercube Algorithms | | 副標題 | with Applications to | | 編輯 | Sanjay Ranka,Sartaj Sahni | | 視頻video | http://file.papertrans.cn/431/430623/430623.mp4 | | 叢書名稱 | Bilkent University Lecture Series | | 圖書封面 |  | | 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 | | 關鍵詞 | algorithm; algorithms; clustering; image processing; pattern; pattern recognition; programming; template; al | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-9692-5 | | isbn_softcover | 978-1-4613-9694-9 | | isbn_ebook | 978-1-4613-9692-5Series ISSN 1431-0848 | | issn_series | 1431-0848 | | copyright | Springer-Verlag New York Inc. 1990 |
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