Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs (Hardcover)

Yair M. Altman

  • 出版商: CRC
  • 出版日期: 2014-12-01
  • 定價: $3,500
  • 售價: 9.0$3,150
  • 語言: 英文
  • 頁數: 785
  • 裝訂: Hardcover
  • ISBN: 1482211297
  • ISBN-13: 9781482211290
  • 相關分類: Matlab
  • 立即出貨 (庫存 < 3)



The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow.

Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.

Ideal for novices and professionals alike, the 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 covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions.

The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB’s memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.

Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.

Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.





本書涵蓋了MATLAB向量化、並行化(隱式和顯式)、優化、內存管理、分塊和緩存。它解釋了MATLAB的內存模型並詳細介紹了如何利用它。它描述了使用GPU、MEX、FPGA和其他形式的編譯代碼,以及加速部署應用程序的技術。它還提供了MATLAB GUI、圖形和I/O的具體技巧。它還回顧了各種實用工具、庫和工具箱,可以幫助提高性能。