Parallel MATLAB for Multicore and Multinode Computers

By: Jeremy Kepner

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Hardcover | 1 June 2009

At a Glance

Hardcover
273 Pages

Dimensions(cm)
26.67 x 19.05 x 1.91

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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 efficient 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 multi-core and multi-node 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.

This book is a reference for professional scientists and engineers and will also be beneficial to graduate students and advanced undergraduate students as a textbook for a parallel computing course.

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-leader of several very talented teams. These teams have produced a number of innovative technologies that have broken new ground in parallel computing.

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You Can Find This Book In

Non-Fiction Computing & I.T.Business Applications Mathematical & Statistical Software Computer Science Computer Architecture & Logic Design Parallel Processing Computer Hardware Grid & Parallel Computing Computer Programming & Software Development Programming & Scripting Languages

List of figures
List of tables
List of algorithms
Preface
Acknowledgments
Fundamentals
Primer: notation and interfaces
Introduction to pMATLAB
Interacting with distributed arrays
Advanced Techniques
Parallel programming models
Advanced distributed array programming
Performance metrics and software architecture
Case Studies
Parallel application analysis
Stream
RandomAccess
Fast Fourier transform
High performance Linpack
Appendix. Notation for hierarchical parallel multicore algorithms
Index
Table of Contents provided by Publisher. All Rights Reserved.

Parallel MATLAB for Multicore and Multinode Computers

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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