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	<title>GPGPU &#187; Tag: systems :: GPGPU.org</title>
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	<link>http://gpgpu.org</link>
	<description>General-Purpose Computation on Graphics Hardware</description>
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		<title>White Paper: &#8220;Many-Core Processors Report Ready for Duty&#8221;</title>
		<link>http://gpgpu.org/2010/06/01/manycore-ge-ip</link>
		<comments>http://gpgpu.org/2010/06/01/manycore-ge-ip#comments</comments>
		<pubDate>Wed, 02 Jun 2010 00:05:21 +0000</pubDate>
		<dc:creator>dom</dc:creator>
				<category><![CDATA[Business]]></category>
		<category><![CDATA[Clusters]]></category>
		<category><![CDATA[System Infrastructure]]></category>
		<category><![CDATA[systems]]></category>

		<guid isPermaLink="false">http://gpgpu.org/?p=2376</guid>
		<description><![CDATA[From a white paper by GE Intelligent Platforms (Link): This white paper describes how GPGPU technology can allow system designers to fit an unprecedented amount of processing power into a very compact package. For example, it describes four GE Intelligent Platforms 3U VPX boards with a floating point performance of 766 GFLOPS in less than [...]]]></description>
			<content:encoded><![CDATA[<p>From a white paper by GE Intelligent Platforms (<a href="http://www.ge-ip.com/library/detail/12112" target="_blank">Link</a>):</p>
<blockquote><p>This white paper describes how GPGPU technology can allow system designers to fit an unprecedented amount of processing power into a very compact package. For example, it describes four GE Intelligent Platforms 3U VPX boards with a floating point performance of 766 GFLOPS in less than 0.4 cubic feet. With configuration control and lifecycle management from a leading COTS supplier, these technologies are clearly ready for duty.</p></blockquote>
<p><a href="http://www.ge-ip.com/library/detail/12112" target="_blank"><br />
</a></p>
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		<title>GRIP &#8211; A Rugged GPU Accelerated Image Processing System</title>
		<link>http://gpgpu.org/2008/04/23/grip-a-rugged-gpu-accelerated-image-processing-system</link>
		<comments>http://gpgpu.org/2008/04/23/grip-a-rugged-gpu-accelerated-image-processing-system#comments</comments>
		<pubDate>Wed, 23 Apr 2008 08:58:56 +0000</pubDate>
		<dc:creator>Mark Harris</dc:creator>
				<category><![CDATA[Business]]></category>
		<category><![CDATA[Image Processing]]></category>
		<category><![CDATA[systems]]></category>

		<guid isPermaLink="false">http://gpgpu.site/?p=435</guid>
		<description><![CDATA[Vision4ce launched a new line of General-purpose Rugged Image Processing (GRIP) products at the recent SPIE Defense and Security Symposium in Orlando from 18th-20th March 2008. The GRIP-Beta showed cutting edge GPGPU-based image processing demonstrations, analog and Gigabit Ethernet video streams and the robust functionality in the Gripworkx image processing framework. The Vision4ce team with [...]]]></description>
			<content:encoded><![CDATA[<p>Vision4ce launched a new line of General-purpose Rugged Image Processing (GRIP) products at the recent SPIE Defense and Security Symposium in Orlando from 18th-20th March 2008. The GRIP-Beta showed cutting edge GPGPU-based image processing demonstrations, analog and Gigabit Ethernet video streams and the robust functionality in the Gripworkx image processing framework. The Vision4ce team with GRIP now addresses numerous rugged embedded computing challenges with a cost effective, readily available rugged solution that might normally be served by more expensive and lengthy FPGA approaches. See <a title="Vision4ce Website" href="http://www.vision4ce.com/" target="_blank">www.vision4ce.com</a> for more information.</p>
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