[Eeglablist] distributed processing

[Thomas Ferree]

Since timef and crossf operate on each data channel independently,
the most trivial parallelization might be to divide the number of
channels over the number of processors.  Not sophisticated but
quick to implement.

At 3:56 PM -0800 3/21/05, Joseph Brooks wrote:
>Hello All,
>
>I planning on writing some code to distribute processing of timef 
>and crossf for many subjects across various computers on our 
>network. This will help to reduce the overall time it takes to 
>process a group of subjects with these functions. Basically, I just 
>want to do as many subjects as possible in parallel. Has anyone done 
>something like this already? If so, I'd appreciate any advice you 
>have on doing it or code you would care to share. I will, of course, 
>share any code that I develop for this purpose. We have a linux 
>network of computers as well as networked windows machines. So, 
>anything on either of those platforms would be helpful.
>
>I'm looking into the recently-released Distributed Computing Toolbox 
>for Matlab, but I haven't gotten my hands on it yet. Does anyone 
>have any experience with this?
>
>Thanks!
>
>Joseph Brooks
>
>
>----------------------------------------------------------------------------------------
>Joseph L. Brooks
>
>Neurology Service
>Veterans Administration Medical Center, Martinez, CA
>
>Department of Psychology
>University of California, Berkeley
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-- 

Thomas Ferree, Ph.D.
(415) 353-9474
http://dnl.ucsf.edu/users/tferree