Cantitate/Preț
Produs

Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools)

De (autor)
Notă GoodReads:
en Limba Engleză Hardback – 23 Jul 2009
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.
Citește tot Restrânge

Din seria Software, Environments and Tools

Preț: 31338 lei

Preț vechi: 39173 lei
-20%

Puncte Express: 470

Preț estimativ în valută:
6101 6643$ 5367£

Carte disponibilă

Livrare economică 24 februarie-08 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780898716733
ISBN-10: 089871673X
Pagini: 273
Ilustrații: illustrations
Dimensiuni: 182 x 261 x 21 mm
Greutate: 0 kg
Ediția: New.
Editura: Society for Industrial and Applied Mathematics
Colecția Society for Industrial and Applied Mathematics
Seria Software, Environments and Tools

Locul publicării: Philadelphia, United States

Cuprins

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.