24小时热门版块排行榜

返回列表

当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖

shileijerry

至尊木虫 (知名作家)

应助: 7 (幼儿园)
金币: 53737.4
帖子: 5466
在线: 728.9小时
虫号: 1189666

[资源] 2014剑桥大学出版新书：加速MATLAB计算的1001个小技巧

Accelerating MATLAB Performance: 1001 Tips to Speed Up MATLAB Programs

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for actual real-life applications. One of the reasons that I constantly hear when consulting with clients is that “MATLAB is slow”.
This book aims to help reduce this perception and shows that MATLAB programs can in fact be made to run extremely fast, in a wide variety of different ways.
MathWorks, who develop MATLAB, invests a significant amount of R&D effort in constantly improving MATLAB’s performance and advocating best practices for improved performance.1 Postings for performance-related R&D jobs are periodically posted2 and the engine’s performance improves with almost every semi-annual MATLAB release. In fact, the same MATLAB programs that might have been slow 10 or more years ago may now be blazingly fast when run using the latest MATLAB release, on the very same platform.
Using programming techniques presented in this book, MATLAB applications can be made even faster, fast enough for most uses. This enables significant reduction of the development time and cost, since we can use MATLAB from end to end, from prototyping to deployment, without having to maintain a mirror code–base using a different programming language and environment.
So, the perception of MATLAB as a slow environment may at least partly be due to a combination of factors, ranging from negative experience from past releases, to application code that does not follow good programming practices.
Contents at a Glance
Preface............................................................................................................................................xix
Author...........................................................................................................................................xxv
1. Introduction to Performance Tuning...................................................................................1
2. Profiling MATLAB® Performance.....................................................................................25
3. Standard Performance-Tuning Techniques.....................................................................59
4. MATLAB®-Specific Techniques.......................................................................................135
6. Explicit Parallelization Using MathWorks Toolboxes.................................................285
7. Explicit Parallelization by Other Means........................................................................353
8. Using Compiled Code.........................................................................................................389
9. Memory-Related Techniques............................................................................................459
10. Graphics and GUI................................................................................................................525
11. I/O Techniques.....................................................................................................................593
Appendix A: Additional Resources........................................................................................631
Appendix B: Performance Tuning Checklist........................................................................643
References and Notes.................................................................................................................645

回复此楼

» 本帖附件资源列表

欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com
附件 1 : AcceleratingMATLABPerformance_1001TipstoSpeedUpMATLABPrograms.pdf

2014-12-21 10:45:50, 144.77 M