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Peer-to-peer distributed Matlab computing – update

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After discussing in detail with colleagues at the Donders and at the FIL, I have implemented the peer-to-peer distributed computing toolbox for MATLAB Hitman Agent 47 downloaded. Most of the desired functionality is now in place, and it seems to work robustly and efficiently.

The peer toolbox allows you to do something like this in MATLAB

a = randn(400,400);
tic; cellfun('pinv', {a, a, a, a, a}, 'UniformOutput', false); toc
tic; peercellfun('pinv', {a, a, a, a, a}, 'UniformOutput', false); toc

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Peer-to-peer distributed Matlab computing

In a recent meeting with the SPM developers, we discussed parallel computing using the Matlab distributed computing toolbox, Star-P, Sun Grid Engine, and other batch systems that can be linked to Matlab Download root explorer. These are all limited in their usefulness for the typical neuroimaging research setting in that they are based on a centralized job distribution system One-touch. That may work fine on a large cluster with a centralized configuration and system administration, but even then the usefullness is limited because all input and output data (which are typically large) have to be send over the network twice: first to the job manager, then to the compute node (and vice versa for the results) 알테라 쿼터스.

To resolve some of these problems, I came up with the idea of peer-to-peer distributed computing in Matlab. The full description can be found on http://fieldtrip.fcdonders.nl/development/peer