Hypercube And Distributed Computers
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Hypercube and Distributed Computers
Various aspects of hypercube and distributed computing are covered in this volume, the result of a Workshop organized by the INRIA - Rennes - IRISA Research Center. The research papers are arranged in the following categories: non-numerical algorithms, partial differential equations, tools and environment, basic algorithms in linear algebra, languages and operating systems, neural networks, linear algebra and scientific computing, and interconnection networks.
Distributed Computer Control Systems 1989
The focus of the workshop was on recent advances in the theory, applications and techniques for distributed computer control systems. Topics included: tools and methods for inner layers of DCCS; application papers presenting operational DCCS; the infiltration of true real-time or "time critical" concepts and the emergence of artificial intelligence methods in DCCS applications, leading to novel computer architectures being integrated in computer networks. The book will be of interest not only to those involved in DCCS but also software engineers and distributed computing scientists.
Hypercube Algorithms
Author: Sanjay Ranka
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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 the book.