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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs
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Review
… 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.
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Product details
Hardcover: 785 pages
Publisher: Chapman and Hall/CRC; 1 edition (December 11, 2014)
Language: English
ISBN-10: 9781482211290
ISBN-13: 978-1482211290
ASIN: 1482211297
Product Dimensions:
7.2 x 1.8 x 10 inches
Shipping Weight: 3.6 pounds (View shipping rates and policies)
Average Customer Review:
4.7 out of 5 stars
17 customer reviews
Amazon Best Sellers Rank:
#682,891 in Books (See Top 100 in Books)
In the first hour of reading it this book paid for itself -> Chapter 8 on the use of MEX to incorporate Fortran routines into Matlab. While I use Matlab daily I (embarrassingly) had never investigated the possibility of accelerating performance using MEX. I thought (incorrectly) that the Matlab compiler, which I do not have, would be required on my machine to create MEX functions. Maybe the material in Chapter 8 is old hat for most potential readers, but for me it was eye-opening. However, even if the use of MEX is familiar, I'll bet that any serious Matlab user will find a similarly valuable idea somewhere in this information-packed book. In contrast to the author's earlier book on Undocumented Matlab, I think that the information here is more likely to remain stable in ongoing releases. I would add a caution that the book is not written for, nor will it be useful for, the newcomer to Matlab or the casual user. Check the author's blog to see the level at which the book is written.
This book contains a universe of real-life, valuable insights from one of (if not) the top MATLAB programmers in the world. If you want to improve your coding skills, this is the book that will take you to the next level.
Helpful, but if you want to fully leverage all cores of your machine and not just optimize for a single core (or however many cores you can make use of with parallel toolbox), you should consider using mex combined with OpenMP or some other form of multiple threading. It is true you can optimize Matlab to a much larger degree than most people realize, but you will still probably find mex and multithreading to be faster.
This is a very good book. Clear rationale, good examples, useful, nice division of topics.
Covering many spectrums of MATLAB, this fairly gigantic reference book is sure to help even the most avid users of the software. There's no guarantee that all 1,001 tips from author Yair Altman will be truly helpful. For one thing, if you're not using MATLAB for Windows, then there are some tips that just won't apply to you (ex. the memory command on MATLAB is Windows-only). Secondly, as Altman gets around to describing how to optimize several MathWorks Toolboxes, it starts to become apparent that there are sections that are simply beyond the scope of the reader who doesn't need - or have the time - to utilize every aspect of the program for themselves.But this isn't, by any means, a deal breaker. It's just a simple thing to keep in mind for someone wanting a book that's exactly like ones in the Effective Software Development Series - that is, not all tips are programmatic, and this reference book is certainly not meant to be "Effective MATLAB." I do recommend this for users looking for the tiniest ways to speed up their code - this is precisely what Altman goes into excellent detail on. In most instances, he'll describe the internal reasons why MATLAB is faster for a certain command/syntax, and then he'll actually run the code himself - complete with an output of the estimated time, matched against the "slower" version.The first four chapters are very useful for those who've just dabbled into MATLAB and want to know how they can adopt habits for optimizing their functions or full-fledged programs. The section on Graphics and GUI, one of the last chapters in the book, is useful, but I urge users getting into MATLAB GUI's for the first time to read "Learning to Program with MATLAB: Building GUI Tools" instead. Afterwards, you can refer back to this book for more advanced tricks!It's also especially useful that the author provides all of his references: 1,799 over about 77 pages, to be more specific. Yes, a lot of them are links to Wikipedia pages, but his inclusion of these citations speak volumes to the thorough research that went into this compilation of tips. Not all 1,001 tips may cater to you, but there are definitely plenty of others here in "Accelerating MATLAB Performance" that will. Programmers of MATLAB who are obsessed with shaving even a couple of milliseconds off their code, look no further.
Matlab has become more and more popular over the years(currently TIOBE ranking 20) in engineering and science, it gives its user more powerful tools with its versatility and readiness than traditional FORTRAN or C.This book is one of my favorites on Matlab, only following matlab's offical documents.My reasons are:(1) This book contains huge amount of performance related solutions in real life projects (The author is a software consultant), which differs from MOST other books, that reiterate matlab's manual in their own words.(2) Gives insight of matlab's inner workings, helps users to identify problems otherwise don't have any clue (e.g. 10.1.2 Use Simple or No Plot Markers).(3) A lot of code snippets compiled by author to help readers understand, more importantly to be used in their own projects.This one for example (I'd never thought of that):funcList = {@fun1,@fun2,@fun3}; % list of function handlesdataList = {data1,data2,data3}; % and their parametersparfor idx = 1 : length(funList)funcList{idx}(dataList{idx}); % this is run in parallelend(4) Huge amount of resources listed in the appendix that do not only cover matlab usage but also other pertinent software engineering prespects/solutions(e.g. 3. Standard Performance-Tuning Techniques, and 8.5 using external libaries).(5)Many other prospects that I would otherwise ignored, you can find out yourself.My suggestion is:This book is a must read, or you should at least check out the contents of the book, see if you are interested in those topics.And also, this book is for moderate to advanced matlab users, matlab newbies should read matlab's official manual first, it's very well documented.
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