By Yair M. Altman
The MATLAB® programming setting is usually perceived as a platform appropriate for prototyping and modeling yet now not for "serious" purposes. one of many major lawsuits is that MATLAB is simply too gradual.
Accelerating MATLAB Performance goals to right this notion by means of describing a number of how you can enormously increase MATLAB application pace. filled with millions of invaluable suggestions, it leaves no stone unturned, discussing each element of MATLAB.
Ideal for beginners and execs alike, the publication describes MATLAB functionality in a scale and intensity by no means ahead of released. It takes a accomplished method of MATLAB functionality, illustrating various how you can reach the specified speedup.
The e-book covers MATLAB, CPU, and reminiscence profiling and discusses quite a few tradeoffs in functionality tuning. It describes either the applying of normal recommendations in MATLAB, in addition to tools which are particular to MATLAB comparable to utilizing diversified information varieties or integrated services.
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 ideas for rushing up deployed purposes. It information particular tips for MATLAB GUI, photos, and I/O. It additionally experiences a wide selection of utilities, libraries, and toolboxes which may aid to enhance performance.
Sufficient info is supplied to permit readers to right away follow the feedback to their very own MATLAB courses. broad references also are integrated to permit those that desire to extend the therapy of a selected subject to take action easily.
Supported via an energetic site, and various code examples, the ebook can help readers speedily reach major discounts in improvement bills and application run times.
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