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Introduction to parallel computing

By: Ananth Grama…[et al]Material type: Text

TextPublication details: Harlow, England ; New York : Addison-Wesley, 2003; New Delhi : Dorling Kindersley, 2010Edition: 2nd edDescription: xx, 636 pages : illustrationsISBN: 9780201648652; 0201648652 ; 9788131708071Subject(s): Parallel processing (Electronic computers) | Parallel algorithms | Algorithme parallèleDDC classification: 005.1

Contents:

Ch. 1. Introduction to Parallel Computing -- Ch. 2. Parallel Programming Platforms -- Ch. 3. Principles of Parallel Algorithm Design -- Ch. 4. Basic Communication Operations -- Ch. 5. Analytical Modeling of Parallel Programs -- Ch. 6. Programming Using the Message-Passing Paradigm -- Ch. 7. Programming Shared Address Space Platforms -- Ch. 8. Dense Matrix Algorithms -- Ch. 9. Sorting -- Ch. 10. Graph Algorithms -- Ch. 11. Search Algorithms for Discrete Optimization Problems -- Ch. 12. Dynamic Programming -- Ch. 13. Fast Fourier Transform -- App. A. Complexity of Functions and Order Analysis

Summary: Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. It is the only book to have complete coverage of traditional Computer Science algorithms (sorting, graph and matrix algorithms), scientific computing algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining).

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Biblography,Index

Ch. 1. Introduction to Parallel Computing --
Ch. 2. Parallel Programming Platforms --
Ch. 3. Principles of Parallel Algorithm Design --
Ch. 4. Basic Communication Operations --
Ch. 5. Analytical Modeling of Parallel Programs --
Ch. 6. Programming Using the Message-Passing Paradigm --
Ch. 7. Programming Shared Address Space Platforms --
Ch. 8. Dense Matrix Algorithms --
Ch. 9. Sorting --
Ch. 10. Graph Algorithms --
Ch. 11. Search Algorithms for Discrete Optimization Problems --
Ch. 12. Dynamic Programming --
Ch. 13. Fast Fourier Transform --
App. A. Complexity of Functions and Order Analysis

Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. It is the only book to have complete coverage of traditional Computer Science algorithms (sorting, graph and matrix algorithms), scientific computing algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining).

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