By Yair M. Altman
The MATLAB® programming setting is frequently perceived as a platform appropriate for prototyping and modeling yet no longer for "serious" functions. one of many major lawsuits is that MATLAB is too gradual.
Accelerating MATLAB Performance goals to right this conception via describing a number of how you can vastly increase MATLAB software velocity. full of hundreds of thousands of necessary information, it leaves no stone unturned, discussing each point of MATLAB.
Ideal for newcomers and pros alike, the publication describes MATLAB functionality in a scale and intensity by no means earlier than released. It takes a accomplished method of MATLAB functionality, illustrating a variety of how one can reach the specified speedup.
The booklet covers MATLAB, CPU, and reminiscence profiling and discusses numerous tradeoffs in functionality tuning. It describes either the applying of ordinary suggestions in MATLAB, in addition to tools which are particular to MATLAB reminiscent of utilizing diverse info forms or integrated services.
The ebook covers MATLAB vectorization, parallelization (implicit and explicit), optimization, reminiscence administration, chunking, and caching. It explains MATLAB’s reminiscence version and information the way it will be leveraged. It describes using GPU, MEX, FPGA, and different kinds of compiled code, in addition to recommendations for dashing up deployed purposes. It information particular information for MATLAB GUI, portraits, and I/O. It additionally reports a large choice of utilities, libraries, and toolboxes which may support to enhance performance.
Sufficient info is equipped to permit readers to right away practice the feedback to their very own MATLAB courses. wide references also are integrated to permit those that desire to extend the therapy of a specific subject to take action easily.
Supported via an lively site, and diverse code examples, the e-book may help readers quickly reach major discounts in improvement bills and software run times.
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs by Yair M. Altman