By Yair M. Altman
The MATLAB® programming surroundings is frequently perceived as a platform appropriate for prototyping and modeling yet no longer for "serious" functions. one of many major proceedings is that MATLAB is simply too gradual.
Accelerating MATLAB Performance goals to right this notion through describing a number of how you can enormously increase MATLAB software pace. jam-packed with millions of necessary advice, it leaves no stone unturned, discussing each element of MATLAB.
Ideal for newbies and pros alike, the e-book describes MATLAB functionality in a scale and intensity by no means ahead of released. It takes a finished method of MATLAB functionality, illustrating a number of how one can reach the specified speedup.
The publication covers MATLAB, CPU, and reminiscence profiling and discusses a number of tradeoffs in functionality tuning. It describes either the appliance of ordinary strategies in MATLAB, in addition to equipment which are particular to MATLAB comparable to utilizing assorted information kinds or integrated capabilities.
The e-book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, reminiscence administration, chunking, and caching. It explains MATLAB’s reminiscence version and information the way it may be leveraged. It describes using GPU, MEX, FPGA, and different kinds of compiled code, in addition to strategies for dashing up deployed functions. It information particular information for MATLAB GUI, photos, and I/O. It additionally reports a large choice of utilities, libraries, and toolboxes which can support to enhance performance.
Sufficient info is supplied to permit readers to right away follow the feedback to their very own MATLAB courses. large references also are incorporated to permit those that desire to extend the remedy of a specific subject to take action easily.
Supported by means of an energetic web site, and diverse code examples, the booklet can help readers speedily reach major rate reductions in improvement charges and software run times.
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs by Yair M. Altman