Thanks Rob,
I have notified the maintainer about the suggestion.
Oyvind




________________________________
From: Robert Lowe <ral64@cam.ac.uk>
To: oyvfos <oyvfos@yahoo.no>
Cc: r-devel@r-project.org
Sent: Wed, May 18, 2011 2:27:15 PM
Subject: Re: [Rd] Max likelihood using GPU

Hi Oyvind,

I believe this is possible to implement. There is already some work ongoing in 
using the GPU in R and they use the CUDA toolkit as the reference you supplied 
do.

http://brainarray.mbni.med.umich.edu/Brainarray/rgpgpu/

Thanks,
Rob


On 18 May 2011, at 10:07, oyvfos wrote:

> Dear all,
> Probably many of you experience long computation times when estimating large
> number of parameters using maximum likelihood  with functions that reguire
> numerical methods such as integration or root-finding. Maximum likelihood is
> an example of paralellization that could sucessfully utilize GPU. The
> general algorithm is described here:
>http://openlab-mu-internal.web.cern.ch/openlab-mu-internal/03_Documents/4_Presentations/Slides/2010-list/CHEP-Maximum-likelihood-fits-on-GPUs.pdf.
>.
> Is it possible to implement this algorithm in R ? 
> Kind regards, Oyvind Foshaug
> 
> --
> View this message in context: 
>http://r.789695.n4.nabble.com/Max-likelihood-using-GPU-tp3532034p3532034.html
> Sent from the R devel mailing list archive at Nabble.com.
> 
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