Introduction to Parallel Computing: Design and Analysis of Parallel Algorithms / Edition 5

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Overview

Take advantage of the power of parallel computers with this comprehensive introduction to methods for the design, implementation, and analysis of parallel algorithms. You'll examine many important core topics, including sorting and graph algorithms, discrete optimization techniques, and scientific computing applications, as you consider parallel algorithms for realistic machine models. Features: presents parallel algorithms as a small set of basic data communication operations in order to simplify their design and increase understanding; emphasizes practical issues of performance, efficiency, and scalability; provides a self-contained discussion of the basic concepts of parallel computer architectures; covers algorithms for scientific computation, such as dense and sparse matrix computations, linear system solving, finite elements, and FFT; discusses algorithms for combinatorial optimization, including branch-and-bound, heuristic search, and dynamic programming; incorporates illustrative examples of parallel programs for commercially available computers; and contains extensive figures and examples that illustrate the workings of algorithms on different architectures.
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Editorial Reviews

Booknews
This text, intended for senior undergraduate or beginning graduate students, examines such core topics as sorting and graph algorithms, discrete optimization techniques, and scientific computing applications (including dense and sparse matrix computations, linear system solving, finite elements, and FFT), and considers parallel algorithms for realistic machine models. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780805331707
  • Publisher: Addison-Wesley
  • Publication date: 11/28/1993
  • Edition description: Older Edition
  • Edition number: 5
  • Pages: 597
  • Product dimensions: 6.69 (w) x 9.57 (h) x 1.28 (d)

Table of Contents

Preface
Ch. 1 Introduction 1
Ch. 2 Models of Parallel Computers 15
Ch. 3 Basic Communication Operations 65
Ch. 4 Performance and Scalability of Parallel Systems 117
Ch. 5 Dense Matrix Algorithms 151
Ch. 6 Sorting 209
Ch. 7 Graph Algorithms 257
Ch. 8 Search Algorithms for Discrete Optimization Problems 299
Ch. 9 Dynamic Programming 355
Ch. 10 Fast Fourier Transform 377
Ch. 11 Solving Sparse Systems of Linear Equations 407
Ch. 12 Systolic Algorithms and their Mapping onto Parallel Computers 491
Ch. 13 Parallel Programming 525
Appendix A: Complexity of Functions and Order Analysis 571
Author Index 575
Subject Index 583
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