By Yair M. Altman
The MATLAB® programming surroundings is usually perceived as a platform compatible for prototyping and modeling yet now not for "serious" purposes. one of many major proceedings is that MATLAB is too sluggish.
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 worthwhile information, it leaves no stone unturned, discussing each point of MATLAB.
Ideal for beginners and execs alike, the booklet describes MATLAB functionality in a scale and intensity by no means sooner than released. It takes a complete method of MATLAB functionality, illustrating various how you can reach the specified speedup.
The booklet covers MATLAB, CPU, and reminiscence profiling and discusses numerous tradeoffs in functionality tuning. It describes either the appliance of normal thoughts in MATLAB, in addition to equipment which are particular to MATLAB reminiscent of utilizing assorted 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 information the way it should be leveraged. It describes using GPU, MEX, FPGA, and other kinds of compiled code, in addition to options for dashing up deployed purposes. It information particular suggestions for MATLAB GUI, photos, and I/O. It additionally studies a wide selection of utilities, libraries, and toolboxes that may support to enhance performance.
Sufficient details is equipped to permit readers to instantly observe the feedback to their very own MATLAB courses. broad references also are integrated to permit those that desire to extend the therapy of a specific subject to take action easily.
Supported through an energetic web site, and various code examples, the ebook may help readers quickly reach major rate reductions in improvement bills and software run times.
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