ParforProgress class
Class to monitor progress of parfor loop
The parallel workers write to a common file for each iteration and determine the total number of completed iterations by counting the number of lines in the file.
USAGE:
pp = ParforProgress;
parfor kk = 1:100
DO_SOMETHING;
iteration_number = step(pp, kk);
fprintf('Finished iteration %d of %d\n', iteration_number, kk);
end
The numbers may not go exactly in order depending on the order in which the parallel workers finish, but they'll be close enough so you'll get the idea of where you are.
The technique of using a single file to store the iteration information was inspired
by this file exchange utility:
Citation pour cette source
Daniel Golden (2026). ParforProgress class (https://github.com/dgolden1/ParforProgress), GitHub. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Parallel Computing > MATLAB Parallel Server >
- Parallel Computing > Parallel Computing Toolbox > Parallel for-Loops (parfor) >
Tags
Remerciements
Inspiré par : Progress monitor (progress bar) that works with parfor
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.2.0.0 | Correct description of algorithm |
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| 1.0.0.0 |
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