By Yair M. Altman
The MATLAB® programming surroundings is usually perceived as a platform compatible for prototyping and modeling yet now not for "serious" functions. one of many major lawsuits is that MATLAB is too gradual.
Accelerating MATLAB Performance goals to right this belief by means of describing a number of how one can vastly increase MATLAB application velocity. full of millions of important counsel, 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 sooner than released. It takes a finished method of MATLAB functionality, illustrating quite a few how one can reach the specified speedup.
The ebook 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 equipment which are particular to MATLAB similar to utilizing varied information forms or integrated features.
The publication covers MATLAB vectorization, parallelization (implicit and explicit), optimization, reminiscence administration, chunking, and caching. It explains MATLAB’s reminiscence version and info the way it could be leveraged. It describes using GPU, MEX, FPGA, and different kinds of compiled code, in addition to recommendations for dashing up deployed purposes. It info particular guidance for MATLAB GUI, pix, and I/O. It additionally experiences a large choice of utilities, libraries, and toolboxes which may support to enhance performance.
Sufficient info is equipped to permit readers to instantly 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 by way of an energetic site, and diverse code examples, the booklet can assist readers swiftly reach major rate reductions in improvement expenses and software run times.
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Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs by Yair M. Altman