paralize (v2006a)

Versión 1.0.0.0 (52,4 KB) por Thomas Abrahamsson

This function is useful for those with a heterogeneous network of computers with a common filesys.

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Actualizado 23 oct 2006

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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

Citar como

Thomas Abrahamsson (2024). paralize (v2006a) (https://www.mathworks.com/matlabcentral/fileexchange/211-paralize-v2006a), MATLAB Central File Exchange. Recuperado 23 abril, 2024.

Compatibilidad con la versión de MATLAB

Se creó con R2006a

Compatible con cualquier versión

Compatibilidad con las plataformas

Windows macOS Linux

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Agradecimientos

Inspiración para: jPar - parallelizing Matlab calculations on multicores and in clusters without file communication

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Versión	Publicado	Notas de la versión
1.0.0.0	23 oct 2006	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. Some bugfixes were also made.	Descargar