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Parallel MATLAB for Multicore and Multinode Computers

Jeremy Kepner (author)

ISBN: 9780898716733

Publication Date: Jul 2009

Format: Hardback

The first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce well-performing parallel programs. It presents a hands-on approach with numerous example programs.
£69.50

Temporarily out of stock: usually despatched in 10-14 days

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This is the first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce well-performing parallel programs.

MATLAB is currently the dominant language of technical computing with one million users worldwide, many of whom can benefit from the increased power offered by inexpensive multicore and multinode parallel computers. MATLAB is an ideal environment for learning about parallel computing, allowing the user to focus on parallel algorithms instead of the details of implementation.

Parallel MATLAB for Multicore and Multinode Computers covers more parallel algorithms and parallel programming models than any other parallel programming book due to the succinctness of MATLAB. It presents a hands-on approach with numerous example programs; wherever possible, the examples are drawn from widely known and well-documented parallel benchmark codes that are representative of many real applications across the field of technical computing.
Pages 278
Dimensions 229 x 152
Date Published 30 Jul 2009
Publisher SIAM - Society for Industrial and Applied Mathematics
Series Software Environments and Tools
Series Part 21
Subject/s Applied mathematics   Business applications  
  • List of Figures
  • List of Tables
  • List of Algorithms
  • Preface
  • Acknowledgments
  • Part I: Fundamentals: Chapter 1: Primer: Notation and Interfaces
  • Chapter 2: Introduction to pMatlab
  • Chapter 3: Interacting with Distributed Arrays
  • Part II: Advanced Techniques: Chapter 4: Parallel Programming Models
  • Chapter 5: Advanced Distributed Array Programming
  • Chapter 6: Performance Metrics and Software Architecture
  • Part III: Case Studies: Chapter 7: Parallel Application Analysis
  • Chapter 8: Stream
  • Chapter 9: RandomAccess
  • Chapter 10: Fast Fourier Transform
  • Chapter 11: High Performance Linpack
  • Appendix: Notation for Hierarchical Parallel Multicore Algorithms
  • Index

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