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Brice -
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> Thanks for your interest. I think my situation is much simpler though:
>  - splitting the task into parallel processes is straightforward (one
> process for each combination of the dataset and parameters)
>  - data and code transfer between nodes is also straightforward since
> the file system is shared (NFS)
>  - aggregating the result is also easy: a simple way is to save the
> result in a file, properly labeled, and aggregate these files at the
> end of the computation.
>
> The constraint is that the computation has to be done under Matlab (is
> this possible with Hadoop? my guess is no).
>
> So the only 'difficulty' is to open matlab sessions on remote hosts,
> send them some instructions, detect when the job is complete, reassign
> a new job and so on. This seems very basic to me, I think I could do
> it in a week or so. I have some other things to do though, hence the
> job offer.

Have you looked at the R Project (http://www.r-project.org/). Perhaps
that is what you need?

Harish

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