performance - How to benchmark Matlab processes?

Question

Searching for an idea how to avoid using loop in my Matlab code, I found following comments under one question on SE:

The statement "for loops are slow in Matlab" is no longer generally true since Matlab...euhm, R2008a?

and

Have you tried to benchmark a for loop vs what you already have? sometimes it is faster than vectorized code...

So I would like to ask, is there commonly used way to test the speed of a process in Matlab? Can user see somewhere how much time the process takes or the only way is to extend the processes for several minutes in order to compare the times between each other?

Answer 1

The best tool for testing the performance of MATLAB code is Steve Eddins' timeit function, available here from the MATLAB Central File Exchange.

It handles many subtle issues related to benchmarking MATLAB code for you, such as:

• ensuring that JIT compilation is used by wrapping the benchmarked code in a function
• warming up the code
• running the code several times and averaging

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Update: As of release R2013b, timeit is part of core MATLAB.

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Update: As of release R2016a, MATLAB also includes a performance testing framework that handles the above issues for you in a similar way to timeit.