In order to optimize certain pieces of a simulation, I tried to build out a multi-threaded algorithm for solving certain linear algebra problems that I couldn't find good solutions to in various libraries or that couldn't be vectorized in proper MATLAB code.
Since I found a lot of the tutorials available online very confusing, once I figured things out I thought it would be handy to share what I learned. With thanks to Yair Altman and his multi-threading example from 2018 that included all of the information I needed to finally figure things out:
To add non-Windows compatibility, you can add in pthreads by following along with Yair's example.
This needs to be compiled with the command, "mex -R2018a madd.cpp"
oreoman (2023). Multi-Threading w/ MEX: Adding Two Vectors (https://www.mathworks.com/matlabcentral/fileexchange/70406-multi-threading-w-mex-adding-two-vectors), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformasWindows macOS Linux
Inspirado por: max_in_place - example of multi-threaded MEX function
Inspiración para: Simpler MEX Multi-Threading w/ a Persistent Thread Pool
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