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Excerpt from Simd Algorithms for D Arrays in Shuffle Networks
Our algorithms correspond to a simd Perfect Shuffle connected machine (ps) For simplicity, although it is not crucial, we assume that P is a power of two. The processors are ordered left to right and are numbered 0 P - l accordingly, so we denote the j 'th processor pej. Subgroups of processors are referred to in a natural manner: left half, right half, odd, even etc. There are three kinds of communication steps: shuffle unshuffle and exchange (ex) and a processor internal (fixed-size) computation. All of these operations take one time step.
In any parallel network machine we have two possible working modes One in which each processor computes a local result of a sequential computation using its local data. Then an inter-processor global algorithm is carried out to compute the final result. In other words, this mode involves separate sequential work by pe's followed by a global parallel step. It is associated with column order of the array: first each column is processed, only then a row of partial results is being processed.
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Paperback. Condition: New. Print on Demand. This book dives into the world of parallel processing and the efficient algorithms designed for SIMD Perfect Shuffle connected machines, offering both theoretical knowledge and practical applications. The author delves into foundational concepts such as sorting, data manipulation, and network structures, significantly improving the complexity and efficiency of parallel algorithms. The book's in-depth analysis and novel insights provide a comprehensive understanding of the challenges and solutions in parallel processing, making it an invaluable resource for researchers, practitioners, and students in the field of computer science. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332195961_0
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