Parallel MATLAB for Multicore and Multinode Computers. Jeremy Kepner
(Sprache: Englisch)
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. It is for professional scientists and engineers, as well as both...
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Produktinformationen zu „Parallel MATLAB for Multicore and Multinode Computers. Jeremy Kepner “
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. It is for professional scientists and engineers, as well as both undergraduate and graduate students who use MATLAB.
Klappentext zu „Parallel MATLAB for Multicore and Multinode Computers. Jeremy Kepner “
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.
Inhaltsverzeichnis zu „Parallel MATLAB for Multicore and Multinode Computers. Jeremy Kepner “
From the contents:List of figures; List of tables; List of algorithms; Preface; Acknowledgments; Part I. Fundamentals: 1. Primer: notation and interfaces; 2. Introduction to pMATLAB; 3. Interacting with distributed arrays; Part II. Advanced Techniques: 4. Parallel programming models; 5. Advanced distributed array programming; 6. Performance metrics and software architecture; Part III. Case Studies: 7. Parallel application analysis; 8. Stream; 9. RandomAccess; 10. Fast Fourier transform; 11. High performance Linpack; Appendix. Notation for hierarchical parallel multicore algorithms; Index.
Autoren-Porträt von 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 computing.
Bibliographische Angaben
- Autor: Jeremy Kepner
- 2009, 273 Seiten, Maße: 18,4 x 26,3 cm, Gebunden, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 089871673X
- ISBN-13: 9780898716733
Sprache:
Englisch
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