Hi - yes, see the FSL FAQ entry on RAM issues; 32 bits aren't really
enough these days ;-)
It will almost certainly be less work for you to find a 64-bit machine
to run this on than to sort out a workaround - you would need to split
up the dataset into chunks of subjects and then recombine at the end,
etc.
Cheers.
On 29 Mar 2009, at 16:42, Geoff Kerchner wrote:
> Hi,
>
> I run FSL on a Ubuntu intrepid-based 32-bit system with 4GB RAM (3.6
> usable). So far, I've been able to run all of the TBSS subroutines
> flawlessly, but suddenly ran into problems with tbss_non_FA, when it
> threw
> an out-of-memory exception while projecting all_MD onto a mean FA
> skeleton.
> From reading other posts, I'm guessing that this is most likely an
> issue
> with 32-bit vs 64-bit architecture? Since all of the other
> subroutines work
> fine, is there an easy work-around? I guess I could run the whole
> process
> from scratch, using MD data instead of FA, but I'm not sure how
> accurate the
> affline registration process would be on MD data.
>
> Thanks,
>
> Geoff
>
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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director, Oxford University FMRIB Centre
FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
+44 (0) 1865 222726 (fax 222717)
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