[pymvpa] 64-bit PyMVPA or help with large datasets?

[Yaroslav Halchenko]

are you using 32bit or 64bit NeuroDebian VM?  just use 64bit, give it
more memory and be happy:  apt-get install python-mvpa2 would install
64bit build since the entire Debian system will be 64bit build ;-)

alternative/complimentary, if you are loading .nii.gz files (wasn't
disclosed) -- you might also try to uncompress them, and construct
dataset from .nii instead of .nii.gz .  At least for the moment they are
'original', i.e. not yet masked, nibabel would memmap them instead of
loading into memory from the compressed .gz.

hope this helps

On Mon, 10 Feb 2014, Jason Ozubko wrote:

>    Hello,
>    I am trying to load a rather large dataset to do some exploration and I'm
>    running into memory errors. �I am using the NeuroDebian virtual machine
>    with 4GB of RAM assigned to it. �My computer is a 64-bit Windows 7 machine
>    with 12GB of RAM and so, in theory, if I could load a 64-bit version of
>    PyMVPA, I thought I could overcome these memory issues.
>    Unfortunately all attempts to do so have failed. �I tried getting python
>    and the necessary libraries installed on my Windows 7 environment but
>    attempts to build PyMVPA fail unless I use a 32-bit version of python.
>    �Does anyone know if it's even possible to compile a 64-bit version PyMVPA
>    or else alternatively, are there other tricks that can be used to overcome
>    memory limitations in pyhton and PyMVPA?
>    Thanks in advance
>    Cheers,
>    Jason

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-- 
Yaroslav O. Halchenko, Ph.D.
http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org
Senior Research Associate,     Psychological and Brain Sciences Dept.
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834                       Fax: +1 (603) 646-1419
WWW:   http://www.linkedin.com/in/yarik