[FieldTrip] parallelizing ft_statistics_montecarlo to enhance computation speed for time-frequency data

[Eelke Spaak]

Hi Fred,

Some time ago, I replaced parts of the clustering routine with a
mex-file. For me this greatly sped up the cluster stats. I guess you
are using a fairly recent (<1yr old) FT version? The platform you're
using might also be relevant, I just noticed that the mex-file
(private/combineClusters.mex*) is distributed in compiled form only
for Linux 64 and Windows 32/64 bit. If you're e.g. on a Macintosh, you
could compile it yourself from the src/combineClusters.cpp source
file.

I know of no attempts to parallelise the clustering code.

Best,
Eelke

On 15 July 2014 17:40, Frédéric Roux <f.roux at bcbl.eu> wrote:
> Dear all,
>
> I would like to ask if anyone has ever tried to speed up the ft_statistics_montecarlo function
> by using Matlab's parallel computing toolbox ?
>
> I would like to run clusterstatistics on time-frequency data, but as a result of the large number
> of time and frequency bins, the function runs very slowly. So I was thinking to try and modify
> the code by running the loops over the frequency bins in parallel and see if that could save
> some time.
>
> Before starting to adapt the code on my own, however, I wanted to ask if anyone had ever tried that
> and also if there could be any possible reasons which would make that this is not a feasible project.
>
> Any thoughts or suggestions would be highly appreciated.
>
> Best,
> Fred
>
>
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