Parallel MATLAB for Multicore and Multinode Computers

The first book on parallel MATLAB and the first parallel computing book focused on quickly producing efficient parallel programs.

Jeremy Kepner (Author)

9780898716733

Hardback, published 30 July 2009

278 pages
26.1 x 18.3 x 2 cm, 0.664 kg

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.

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.

Subject Areas: Miscellaneous items [WZ]