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 simply too gradual.
Accelerating MATLAB Performance goals to right this notion by way of describing a number of how one can drastically increase MATLAB software pace. jam-packed with hundreds of thousands of beneficial information, it leaves no stone unturned, discussing each element of MATLAB.
Ideal for newbies and execs alike, the publication describes MATLAB functionality in a scale and intensity by no means sooner than released. It takes a accomplished method of MATLAB functionality, illustrating a number of how you can reach the specified speedup.
The publication covers MATLAB, CPU, and reminiscence profiling and discusses numerous tradeoffs in functionality tuning. It describes either the appliance of ordinary concepts in MATLAB, in addition to equipment which are particular to MATLAB corresponding to utilizing varied info varieties or integrated services.
The booklet covers MATLAB vectorization, parallelization (implicit and explicit), optimization, reminiscence administration, chunking, and caching. It explains MATLAB’s reminiscence version and info the way it may be leveraged. It describes using GPU, MEX, FPGA, and other kinds of compiled code, in addition to innovations for dashing up deployed functions. It info particular assistance for MATLAB GUI, photographs, and I/O. It additionally reports a wide selection of utilities, libraries, and toolboxes which could support to enhance performance.
Sufficient details is supplied to permit readers to instantly practice the feedback to their very own MATLAB courses. broad references also are integrated to permit those that desire to extend the remedy of a selected subject to take action easily.
Supported by means of an lively web site, and various code examples, the ebook can assist readers quickly reach major discounts in improvement bills and application run times.
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs by Yair M. Altman
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