Download Accelerating MATLAB Performance 1001 Tips to Speed Up by Yair M. Altman PDF

By Yair M. Altman

Accelerating MATLAB functionality goals to right this conception by means of describing a number of how one can enormously increase MATLAB software pace. filled with hundreds of thousands of precious advice, it leaves no stone unturned, discussing each point of MATLAB.
Ideal for newbies and pros alike, the booklet describes MATLAB functionality in a scale and intensity by no means sooner than released. It takes a accomplished method of MATLAB functionality, illustrating quite a few how you can reach the specified speedup.
The booklet covers MATLAB, CPU, and reminiscence profiling and discusses a number of tradeoffs in functionality tuning. It describes either the applying of ordinary recommendations in MATLAB, in addition to equipment which are particular to MATLAB resembling utilizing various facts forms or integrated functions.
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 other kinds of compiled code, in addition to strategies for dashing up deployed purposes. It information particular assistance for MATLAB GUI, portraits, and I/O. It additionally stories a large choice of utilities, libraries, and toolboxes which may support to enhance performance.
Sufficient details 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 therapy of a specific subject to take action simply.

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In fact, if it does not happen, then you have probably not correctly identiied the top bottlenecks according to Pareto’s principle. It is partly due to the diminishing speedups that it is tempting to continue tuning, in the hope that “just a few more rounds” will give us another 50% speedup. But at some point, the cost–beneit ratio of the tuning round simply becomes too high. 2 When to Stop Tuning Following each tuning re-run, we should recheck whether the application is fast enough, and continue tuning only if it is not.

We then modify the code to ix these hotspots, focusing our attentions only at a few top hotspots, using a wide variety of techniques (see Chapters 3 through 11). • We now test the program to ensure that we did not introduce any bugs. This is very important, since we often inadvertently introduce new bugs in the tuning process. 10 Moreover, we should test that the program is actually faster. * No performance improvement is really possible without measurement. ” It is important to measure the correct things, and to do this correctly, without external artifacts that may affect the measurements.

If it takes longer, this could indicate that something is wrong. 3 The Iterative Performance-Tuning Cycle Performance tuning is a repetitive development cycle task that is typically performed following the irst complete pass of development and testing. This ensures that we tune a stable program that works well in all respects excluding speed/responsiveness, rather than a buggy program. Performance tuning includes the following sub-tasks: • We irst measure the overall code performance in order to determine whether tuning is at all necessary.

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