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Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools), by Jeremy Kepner
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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.
Audience: Intended for professional scientists and engineers, as well as undergraduate or graduate students, who use MATLAB. It is suitable as either the primary book in a parallel computing class or as a supplementary text in a numerical computing class or a computer science algorithms class.
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; Index
- Sales Rank: #2458439 in Books
- Brand: Brand: SIAM-Society for Industrial and Applied Mathematics
- Published on: 2009-06-18
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x .83" w x 6.69" l, .0 pounds
- Binding: Hardcover
- 279 pages
- Used Book in Good Condition
About the Author
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-lead several very talented teams. These teams have produced a number of innovative technologies that have broken new ground in parallel computing.
Most helpful customer reviews
2 of 2 people found the following review helpful.
One Star
By Srikumar Sandeep
It is not good for someone new to parallel programming in matlab.
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