Toolbox to spread batch work over multiple MATLAB instances, even on other PCs
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This toolbox consists of several functions for spreading work over multiple MATLAB instances.
If you have a for loop which can be written something like:
for a = 1:size(input, 2)
output(:,a) = func(input(:,a), global_data);
end
then the functions in this toolbox can be used to split the for loop iterations across multiple MATLAB instances, including across multiple computing nodes/computers. This is a replacement for parfor in this use case, if you don't have the Parallel Computing Toolbox.
For the toolbox to work, its root directory needs to be on your MATLAB path at startup.
See the README at:
https://github.com/ojwoodford/batch_job/blob/master/README.md
for more information.
These functions are in beta testing. If you have any bug reports or fixes, please raise a github issue.
Citation pour cette source
Oliver Woodford (2026). Batch Job (https://github.com/ojwoodford/batch_job), GitHub. Extrait(e) le .
Remerciements
Inspiré par : Multicore - Parallel processing on multiple cores
Informations générales
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.5.0.0 | Update help text
|
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| 1.4.0.0 | Move to github |
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| 1.3.0.0 | Bug fix |
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| 1.2.0.0 | Add the logo |
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| 1.1.0.0 | Add example. Improve code. |
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| 1.0.0.0 |
