Re: [Freesurfer] implementation on Neurodebian

No. Cuda only runs in NVidia hardware.

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On Mon, Oct 24, 2011 at 13:01, Cartik Sharma Cartik.Sharma@childmind.orgwrote:

Bruce,

http://surfer.nmr.mgh.harvard.edu/fswiki/CUDADevelopersGuide#Benchmarks Found this link..clearly impressive, are these benchmarks for GPU enabled cards with CUDA or also with ATI Radeon GPU enabled cards?

Best, Cartik

On Oct 24, 2011, at 10:30 AM, Bruce Fischl wrote:

...

not yet, although it is something we are working on.

cheers Bruce On Mon, 24 Oct 2011, Cartik Sharma wrote:

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Hi Knut, Good to know we can speed things up with CUDA. I have a multicore CPU

and was wondering if

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there is a parallelized version of Freesurfer on the CPU. Thanks for the speedup! Best regards, Cartik On Oct 24, 2011, at 4:41 AM, Knut J Bjuland wrote:

 Hi Cartik

 You use -use-gpu to offload rendering to the GPU using cuda.

 Knut J

 > From: Cartik.Sharma@childmind.org
 > To: knutjbj@hotmail.com
 > Subject: Re: [Freesurfer] implementation on Neurodebian
 > Date: Thu, 20 Oct 2011 15:48:10 +0000
 >
 > Hi Knut:
 >
 > Cool..is this speeding up things by rendering on the GPU.
 > Is there a way to offload computation to the GPU.
 >
 > Best regards,
 > Cartik
 >
 > On Oct 20, 2011, at 10:57 AM, Knut J Bjuland wrote:
 >
 > > Hi Cartik
 > >
 > > If you enable cuda with -use-gpu the recon-all will run faster.
 > >
 > > Knut J
 > >
 > > Den 17.10.2011 16:41, skrev Cartik Sharma:
 > >> Dear Freesurfer developer(s),
 > >>
 > >> Is there a way to get Freesurfer run faster on Neurodebian.

While the package produces

...

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 > >> some truly out of the world segmentations and labels for the

cortical surface, it seems

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 > >> to take time.
 > >>
 > >> For eg:
 > >> Defect correction and retesellation takes an hour, other steps

take longer..I'm not sure if

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 > >> it's the original dataset, the OS platform (i.e Virtual

Machine, Neurodebian) or original

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 > >> computational engine itself.
 > >>
 > >> Would be happy in efforts and hints to make this run faster.
 > >>
 > >> Best regards,
 > >> Cartik Sharma
 > >>
 > >>
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