By Yair M. Altman

The MATLAB® programming atmosphere 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 sluggish.

Accelerating MATLAB Performance goals to right this belief via describing a number of how one can significantly enhance MATLAB software pace. filled with hundreds of thousands of necessary suggestions, it leaves no stone unturned, discussing each element of MATLAB.

Ideal for rookies 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 quite a few how one can reach the specified speedup.

The publication covers MATLAB, CPU, and reminiscence profiling and discusses quite a few tradeoffs in functionality tuning. It describes either the applying of ordinary innovations in MATLAB, in addition to equipment which are particular to MATLAB comparable to utilizing varied info forms or integrated features.

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 will be leveraged. It describes using GPU, MEX, FPGA, and other kinds of compiled code, in addition to recommendations for dashing up deployed functions. It info particular counsel for MATLAB GUI, photos, and I/O. It additionally reports a wide selection of utilities, libraries, and toolboxes which could support to enhance performance.

Sufficient info is equipped to permit readers to right away observe 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 diverse code examples, the publication can help readers swiftly reach major discount rates 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

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