From oyvfos at yahoo.no  Wed May 18 11:07:23 2011
From: oyvfos at yahoo.no (oyvfos)
Date: Wed, 18 May 2011 02:07:23 -0700 (PDT)
Subject: [Rd] Max likelihood using GPU
Message-ID: <1305709643520-3532034.post@n4.nabble.com>

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

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[Rd] Max likelihood using GPU
oyvfos