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商品描述
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.
商品描述(中文翻譯)
MATLAB®程式環境通常被認為適合用於原型和建模，但不適合用於「嚴肅」應用。其中一個主要的抱怨是MATLAB速度太慢。《加速MATLAB性能》旨在改變這種觀點，描述了多種大幅提高MATLAB程序速度的方法。這本書充滿了數千個有用的技巧，涵蓋了MATLAB的各個方面。
這本書對於初學者和專業人士都很理想，以前從未發表過如此全面深入的MATLAB性能描述。它以全面的方式探討MATLAB性能，說明了多種實現所需加速的方法。
本書涵蓋了MATLAB、CPU和內存分析，並討論了性能調優中的各種權衡。它描述了在MATLAB中應用標準行業技術的方法，以及使用不同數據類型或內置函數等MATLAB特定方法。
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。
書中提供了足夠的信息，讓讀者能夠立即將建議應用於自己的MATLAB程序。還包括了廣泛的參考資料，方便那些希望擴展特定主題的讀者。
本書還有一個活躍的網站和眾多代碼示例，將幫助讀者快速降低開發成本和程序運行時間。
