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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs de Yair M. Altman

Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs

Autor Yair M. Altman
en Limba Engleză Hardback – 11 dec 2014

This book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book explains how to profile MATLAB code to identify performance hotspots and discusses various tradeoffs in MATLAB performance tuning. It covers vectorization, parallelization, distributed computing, caching, optimization, memory management, GUI, graphics, and I/O. The book includes numerous code examples and online references, and is supported by an active website.

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Specificații

ISBN-13: 9781482211290
ISBN-10: 1482211297
Pagini: 792
Ilustrații: 228 black & white illustrations, 31 colour illustrations, 58 black & white tables
Dimensiuni: 178 x 254 x 46 mm
Greutate: 1.38 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Academic and Professional Practice & Development

Cuprins

Introduction to Performance Tuning. Profiling MATLAB® Performance. Standard Programing Techniques. Using Parallelization and the GPU. Data Analysis Techniques. MATLAB®-Specific Techniques. Memory-Related Techniques. MATLAB® Graphs and GUI. Topics and Resources for Further Learning.

Recenzii

… a very interesting new book on MATLAB® performance … covering basic tools and an appropriate range of specific programming techniques. The book seems to take a whole-system approach … helping readers understand the big picture of how to get better performance.
—Michelle Hirsch, Ph.D., Head of MATLAB® Product Management, The MathWorks Inc.

Notă biografică

Yair M. Altman

Descriere

This book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book explains how to profile MATLAB code to identify performance hotspots and discusses various tradeoffs in MATLAB performance tuning. It covers vectorization, parallelization, distributed computing, caching, optimization, memory management, GUI, graphics, and I/O. The book includes numerous code examples and online references, and is supported by an active website.