Parallel MATLAB for Multicore and Multinode Computers

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Parallel MATLAB for Multicore and Multinode Computers

Name: Parallel MATLAB for Multicore and Multinode Computers
Brand: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
SKU: 9780898716733
Price: 184.0 AUD
Availability: InStock

SIAM - SOCIETY FOR INDUSTRIAL AND APPLIEDISBN: 9780898716733

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$184.00

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By Jeremy Kepner
Imprint: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
Release Date: October 28, 2009
Format: HARDBACK
Dimensions: 229 x 152 mm
Weight: 660 g
Pages: 278

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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.

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 computing.

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

Parallel MATLAB for Multicore and Multinode Computers

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