Parallel MATLAB for Multicore and Multinode Computers

Jeremy Kepner

ISBN 10: 089871673X / ISBN 13: 9780898716733

Published by Society For Industrial And Applied Mathematics (SIAM) Jul 2009, 2009

About this Item

Neuware - 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 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. 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.

Seller Inventory # 9780898716733

Bibliographic Details

• Title: Parallel MATLAB for Multicore and Multinode Computers
• Publisher: Society For Industrial And Applied Mathematics (SIAM) Jul 2009
• Publication Date: 2009
• Language: English
• ISBN 10: 089871673X
• ISBN 13: 9780898716733
• Binding: Buch
• Condition: Neu
• Dimensions: 263W x 184H x 22D millimeters 263 millimeters width by 184 millimeters height by 22 millimeters depth
• Weight: 687 grams

About this title

Synopsis

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 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. 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.