ParforProgress class

Version 1.2.0.0 (3.71 KB) by Daniel Golden
Matlab class to track iterations within a parfor loop
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Updated 17 Aug 2015
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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:

http://www.mathworks.com/matlabcentral/fileexchange/32101-progress-monitor--progress-bar--that-works-with-parfor

Cite As

Daniel Golden (2024). ParforProgress class (https://github.com/dgolden1/ParforProgress), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.2.0.0

Correct description of algorithm
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.