By Yair M. Altman
Accelerating MATLAB functionality goals to right this conception by way of describing a number of how you can vastly enhance MATLAB software pace. choked with millions of valuable counsel, it leaves no stone unturned, discussing each element of MATLAB.
Ideal for newbies and pros alike, the publication describes MATLAB functionality in a scale and intensity by no means earlier than released. It takes a entire method of MATLAB functionality, illustrating a number of how you can reach the specified speedup.
The publication covers MATLAB, CPU, and reminiscence profiling and discusses a number of tradeoffs in functionality tuning. It describes either the applying of ordinary options in MATLAB, in addition to tools which are particular to MATLAB equivalent to utilizing varied info kinds 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 info the way it should be leveraged. It describes using GPU, MEX, FPGA, and different kinds of compiled code, in addition to thoughts for dashing up deployed functions. It information particular tips for MATLAB GUI, pictures, and I/O. It additionally stories a large choice of utilities, libraries, and toolboxes which could aid to enhance performance.
Sufficient details is supplied to permit readers to right away observe the feedback to their very own MATLAB courses. vast references also are incorporated to permit those that desire to extend the therapy of a selected subject to take action simply.
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Extra info for Accelerating MATLAB Performance 1001 Tips to Speed Up MATLAB Programs
In fact, tuning cycles typically focus on only a single aspect, or two in rare cases. We need to decide the relative priorities of the tunable aspects as they pertain to each and every speciic application. This needs to be done in advance, before the tuning cycle begins. For different applications, different aspects may be more important than others, resulting in radically different proiling methodologies and tuning paths. 5 Performance Tuning Pitfalls Performance tuning is an art, in which one gets better with time.
Some of the important performance aspects to consider include:18 • Availability — Over-clocking the CPU will increase its speed but reduce the computer’s life span and overall availability to future re-runs. • Latency — The time delay between user request and program response. * • Data capacity — The amount of data that a program can process at once. • Processing speed — The speed at which a program processes the data. 8. 4. 2 for a related discussion of the performance-accuracy tradeoff. 7. ) usage while doing its work.
We often ind 8 Accelerating MATLAB® Performance that the target performance is a moving goal, and the tuning process a never-ending task. Obsessive optimization can be a search for perfection, a state that we can never achieve, and that we should actively avoid. , mean/median/max), before we start tuning. Keeping this goal in focus during the tuning cycles will help us achieve it. 15 A few years ago I developed an application (IB-Matlab16) that connects MATLAB to Interactive Brokers (IB)17 for online analysis and trading of stocks, bonds, and other securities.