I need an established reference on optimizing Matlab code.

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I'm working on a project that uses Matlab for functional prototyping of producton applications. The initial phase is developing Matlab code to verify algorithms. The 2nd phase is using the verified code for limited production stress testing. Moderate performance objectives must also be met. Phase 3 involves an expanded # of key applications to be extensively production stress tested. In Phase 4 all applications that satisfy Phase 3 testing are released for production. In Phase 5 performance is the critical key performance metric (KPM) for success. Hence, continuous code optimization is done.
Can you recommend documents on optimizing Matlab code? Text books, whitepapers and, ideally, Mathworks documents are of interest.

Accepted Answer

Cris LaPierre
Cris LaPierre on 6 Aug 2020
Not sure if this is what you are looking for, but here are some resources I'm aware of:
  1. MATLAB Performance Optimization
  2. Performance and Memory
  3. Techniques to Improve Performance
  4. Optimizing and Accelerating your MATLAB Code
  3 Comments
Cris LaPierre
Cris LaPierre on 7 Aug 2020
The gains from vectorization are highly dependent on the application (what the unvectorized solution is). There are scenarios where it is much faster, some where it is comparable, and some where it is slower. I think for these reasons, I'm not aware of a documented "expected percent improvement".
I'm less familiar with MEX, so I'd suggest Walter's reply in this post. In looking for that, I did discover other posts on the topic that may also be helpful.

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