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	<title>Comments on: Intel puts $12M in new visual computing research center</title>
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	<link>http://insidehpc.com/2009/05/13/intel-puts-12m-in-new-visual-computing-research-center/</link>
	<description>HPC News Without the Noise for Supercomputing Professionals &#124; insideHPC</description>
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		<title>By: John West</title>
		<link>http://insidehpc.com/2009/05/13/intel-puts-12m-in-new-visual-computing-research-center/#comment-165632</link>
		<dc:creator>John West</dc:creator>
		<pubDate>Thu, 14 May 2009 13:48:50 +0000</pubDate>
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		<description>Joe, Randall - ok, uncle. Medical imaging is HPC.</description>
		<content:encoded><![CDATA[<p>Joe, Randall &#8211; ok, uncle. Medical imaging is HPC.</p>
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		<title>By: Randall</title>
		<link>http://insidehpc.com/2009/05/13/intel-puts-12m-in-new-visual-computing-research-center/#comment-165505</link>
		<dc:creator>Randall</dc:creator>
		<pubDate>Wed, 13 May 2009 19:57:11 +0000</pubDate>
		<guid isPermaLink="false">http://insidehpc.com/?p=4917#comment-165505</guid>
		<description>Medical can be very HPC-like, especially for situations like non-uniform registration for Atlas Matching.. Typically that takes clusters of a dozen or more machines, perfectly suited for HPC work.</description>
		<content:encoded><![CDATA[<p>Medical can be very HPC-like, especially for situations like non-uniform registration for Atlas Matching.. Typically that takes clusters of a dozen or more machines, perfectly suited for HPC work.</p>
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		<title>By: Joe</title>
		<link>http://insidehpc.com/2009/05/13/intel-puts-12m-in-new-visual-computing-research-center/#comment-165454</link>
		<dc:creator>Joe</dc:creator>
		<pubDate>Wed, 13 May 2009 12:07:34 +0000</pubDate>
		<guid isPermaLink="false">http://insidehpc.com/?p=4917#comment-165454</guid>
		<description>Medical Imaging processing is very much an HPC application.  Registration and segmentation on a stack of MRI or CT images is quite computationally intensive.  In the early days of these technologies, some of the system vendors used to embed an SGI Origin unit, then SGI Octanes into the instrument to provide the processing &#039;umph&#039;.

These days, many are focused upon CUDA based apps to provide the processing power.</description>
		<content:encoded><![CDATA[<p>Medical Imaging processing is very much an HPC application.  Registration and segmentation on a stack of MRI or CT images is quite computationally intensive.  In the early days of these technologies, some of the system vendors used to embed an SGI Origin unit, then SGI Octanes into the instrument to provide the processing &#8216;umph&#8217;.</p>
<p>These days, many are focused upon CUDA based apps to provide the processing power.</p>
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