Although there has been a tremendous growth of interest in parallel architecture and parallel processing in recent years, comparatively little work has been done on the problem of characterizing parallelism in programs and algorithms. This book, a collection of original papers, specifically addresses that topic. The editors and two dozen other contributors have produced a work that cuts across numerical analysis, artificial intelligence, and database management, speaking to questions that lie at the heart of current research in these and many other fields of knowledge: How much commonality in algorithm structure is there across problem domains? What attributes of algorithms are the most important in dictating the structure of a parallel algorithm? How can algorithms be matched with languages and architectures? Their book provides an important starting place for a comprehensive taxonomy of parallel algorithms.The Characteristics of Parallel Algorithms is included in the Scientific Computation Series, edited by Dennis Gannon.
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Robert Douglass head of Machine Intelligence and part of the Department of Electrical Engineering at Purdue University.
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Printed Magenta Boards. Condition: Very Good. No Jacket. Second Printing, 1988. This is a volume in the publisher's SERIES IN SCIENTIFIC COMPUTATION. There are 3 sections, I, General Characteristics of Parallel Computation Models; II, Application Domain Characterizations of Parallelism; and III, Software Tools. The chapter headings in Section I are; Programming Paradigms for Nonshared Memory Parallel Computers; LargeGrain Parallelism - Three Case Studies; Characterizing Parallel Algorithms; Measuring Communications Structures in Parallel Architectures and Algorithms; and Hierarchy in Sequential and Concurrent Systems - or - What's in a Reply? Those in Part II are: Computer Architectures for Speech Recognition; Issues on Parallel Algorithms for Image Processing; Parallel Methods for Partial Differential Equations; Parallel Algorithms for Matrix Computations; Programming with BLAS; and The Influence of Memory Hierarchy on Algorithm Organization: Programming FFTs on a Vector Multiprocessor. Those for Section III are: Experience with an Automatic Solution to the Mapping Problem; Design and Implementation of Parallel Programs with Large-Grain Data Flow; A Minimalist Approach to Portable, Parallel Programming; SCHEDULE: Tools for Developing and Analyzing Parallel Fortran Programs; and The Force. Sixteen chapters, 440 pages, with figures, and Index; plus six unnumbered pages, Contents, and Preface; References at the end of each paper. Covers show scant shelf-use at edges and backstrap, otherwise clean and sound; text is clean and strong. Seller Inventory # 202167
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