Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
For users with a heterogeneous network of computers with a common file system and a problem that lend itself to parallelization these functions might be of help. Such problems may be finite difference calculations of gradients, parametric studies or iterative solutions of equation systems. Say, for instance, that you have 20 large eigenvalue problems that you want to solve in parallel.
Then the code is:
A=rand(500,500,20);% Generate 20 500x500 matrices
d=paralize('eig',A);% Solve with eig in parallel
It is as simple as that, provided you have started the servers. Servers are started with the MATLAB command serve. Could it be more easy?
HTML-files describe the use in more detail.
paralize.m
serve.m
serve.html
paralize.html
paralize.jpg
Citation pour cette source
Thomas Abrahamsson (2026). paralize (v2006a) (https://fr.mathworks.com/matlabcentral/fileexchange/211-paralize-v2006a), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
A inspiré : jPar - parallelizing Matlab calculations on multicores and in clusters without file communication
Informations générales
- Version 1.0.0.0 (52,4 ko)
-
Aucune licence
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.0 | This old contribution (from 1997) needed an overhaul. It now supports versions of Matlab up to 7.2 thanks to my soulmate Andrzej Karbowski, Warsaw.
|
