Introduction to Parallel Processing: Algorithms and Architectures / Edition 1

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Overview

This original text provides comprehensive coverage of parallel algorithms and architectures, beginning with fundamental concepts and continuing through architectural variations and aspects of implementation. Unlike the authors of similar texts, Professor Parhami reviews the circuit model and problemdriven parallel machines, variants of mesh architectures, and composite and hierarchical systems, among other subjects. With its balanced treatment of theory and practical designs, classtested lecture material and problems, and helpful case studies, the book is suited to graduate and upperlevel undergraduate students of advanced architecture or parallel processing.
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Product Details

  • ISBN-13: 9780306459702
  • Publisher: Springer US
  • Publication date: 1/31/1999
  • Series: Series in Computer Science , #1
  • Edition description: 1999
  • Edition number: 1
  • Pages: 556
  • Product dimensions: 10.00 (w) x 7.00 (h) x 1.19 (d)

Table of Contents

Fundamental Concepts: Introduction to Parallelism. A Taste of Parallel Algorithms. Parallel Algorithm Complexity. Models of Parallel Processing. Extreme Models: PRAM and Basic Algorithms. More Shared-Memory Algorithms. Sorting and Selection Networks. Other Circuit-Level Examples. Mesh-Based Architectures: Sorting on a 2D Mesh or Torus. Routing on a 2D Mesh or Torus. Numerical 2D Mesh Algorithms. Other Mesh-Related Architectures. Low-Diameter Architectures: Hypercubes and Their Algorithms. Sorting and Routing on Hypercubes. Other Hypercubic Architectures. A Sampler of Other Networks. Some Broad Topics: Emulation and Scheduling. Data Storage, Input, and Output. Reliable Parallel Processing. System and Software Issues. Implementation Aspects: Shared-Memory MIMD Machines. Message-Passing MIMD Machines. Data-Parallel SIMD Machines. Past, Present, and Future. Index.
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