Parallel MATLAB for Multicore and Multinode Computers

Parallel MATLAB for Multicore and Multinode Computers

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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 more

Product details

  • Hardback | 278 pages
  • 182.88 x 259.08 x 20.32mm | 680.39g
  • Society for Industrial & Applied Mathematics,U.S.
  • New York, United States
  • English
  • 089871673X
  • 9780898716733
  • 1,474,947

About Jeremy Kepner

Jeremy Kepner is a senior technical staff member at MIT Lincoln Laboratory. His research focuses on the development of advanced libraries for the application of massively parallel computing to a variety of data intensive signal processing problems on which he has published many articles. Jeremy is most proud of the opportunity he has had to be the principal architect, principal investigator, or otherwise co-leader of several very talented teams. These teams have produced a number of innovative technologies that have broken new ground in parallel more

Table of contents

* 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* Indexshow more