By Yair M. Altman
The MATLAB® programming surroundings is frequently perceived as a platform compatible 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 conception by way of describing a number of how one can vastly enhance MATLAB software pace. choked with hundreds of thousands of worthwhile suggestions, it leaves no stone unturned, discussing each element of MATLAB.
Ideal for rookies and execs alike, the e-book describes MATLAB functionality in a scale and intensity by no means earlier than released. It takes a complete method of MATLAB functionality, illustrating various how one can reach the specified speedup.
The e-book covers MATLAB, CPU, and reminiscence profiling and discusses a variety of tradeoffs in functionality tuning. It describes either the appliance of ordinary options in MATLAB, in addition to equipment which are particular to MATLAB equivalent to utilizing diversified facts kinds 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 should be leveraged. It describes using GPU, MEX, FPGA, and different kinds of compiled code, in addition to recommendations for rushing up deployed purposes. It info particular information for MATLAB GUI, portraits, and I/O. It additionally stories a wide selection of utilities, libraries, and toolboxes which may aid to enhance performance.
Sufficient info is equipped to permit readers to right away practice the feedback to their very own MATLAB courses. large references also are incorporated to permit those that desire to extend the remedy of a selected subject to take action easily.
Supported through an energetic site, and diverse code examples, the publication may help readers quickly reach major rate reductions in improvement expenditures and application run times.
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs by Yair M. Altman