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	<title>GPGPU &#187; Tag: Statistical Computing :: GPGPU.org</title>
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	<description>General-Purpose Computation on Graphics Hardware</description>
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		<title>GPGPU Wrapper for R Statistical Computing Environment</title>
		<link>http://gpgpu.org/2010/06/02/r-wrapper</link>
		<comments>http://gpgpu.org/2010/06/02/r-wrapper#comments</comments>
		<pubDate>Wed, 02 Jun 2010 23:48:13 +0000</pubDate>
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				<category><![CDATA[Developer Resources]]></category>
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		<category><![CDATA[Statistical Computing]]></category>

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		<description><![CDATA[Jaideep Singh and Ipseeta Aruni present a GPGPU wrapper for the R statistical computing environment at the R user conference 2010. Their approach is to overload datatypes using R&#8217;s simplified wrapper and the SWIG Interface Generator functionality. A full page summary of the approach is available at the conference web site (PDF link).]]></description>
			<content:encoded><![CDATA[<p>Jaideep Singh and Ipseeta Aruni present a GPGPU wrapper for the R statistical computing environment at the R user conference 2010. Their approach is to overload datatypes using R&#8217;s simplified wrapper and the SWIG Interface Generator functionality. A full page summary of the approach is available at the conference web site (<a href="http://user2010.org/abstracts/Singh+Aruni.pdf" target="_blank">PDF link</a>).</p>
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		<title>R+CUDA: Enabling GPU Computing in the R Statistical Environment</title>
		<link>http://gpgpu.org/2009/06/14/r-gpgpu</link>
		<comments>http://gpgpu.org/2009/06/14/r-gpgpu#comments</comments>
		<pubDate>Mon, 15 Jun 2009 03:20:29 +0000</pubDate>
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		<category><![CDATA[Statistical Computing]]></category>

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		<description><![CDATA[R is a popular open source environment for statistical computing, widely used in many application domains. The ongoing  R+GPU project is devoted to moving frequently used R functions, mostly functions used in biomedical research, to the GPU using CUDA. If a CUDA-compatible GPU and driver are present on a user&#8217;s machine, the user may only [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.r-project.org/" target="_blank">R</a> is a popular open source environment for statistical computing, widely used in many application domains. The ongoing  <a href="http://brainarray.mbni.med.umich.edu/brainarray/rgpgpu/" target="_blank">R+GPU</a> project is devoted to moving frequently used R functions, mostly functions used in biomedical research, to the GPU using CUDA. If a CUDA-compatible GPU and driver are present on a user&#8217;s machine, the user may only need to prefix &#8220;gpu&#8221; to the original function name to take advantage of the GPU implementation of the corresponding R function.</p>
<p>Speedup measurements of the current implementation range as high as 80x, and contributions to the code base are cordially invited. <a href="http://brainarray.mbni.med.umich.edu/Brainarray/rgpgpu/" target="_blank">R+GPU</a> is developed at the University of Michigan&#8217;s Molecular and Behavioral Neuroscience Institute</p>
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