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	<title>Gigaom Search &#187; People &#187; David Patterson</title>
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		<title>RISC creator is pushing open source chips for cloud computing and the internet of things</title>
		<link>https://gigaom.com/2014/08/19/risc-creator-is-pushing-open-source-chips-for-cloud-computing-and-the-internet-of-things/</link>
		<comments>https://gigaom.com/2014/08/19/risc-creator-is-pushing-open-source-chips-for-cloud-computing-and-the-internet-of-things/#comments</comments>
		<pubDate>Tue, 19 Aug 2014 23:50:50 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AMPLab]]></category>
		<category><![CDATA[microprocessors]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[open-source hardware]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[LSE:ARMH]]></category>
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		<description><![CDATA[Computer scientists at the University of California, Berkeley, are joining the fight for open source chips with an instruction set architecture called RISC-V. They view it as a true open source&#8230;]]></description>
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		<title>The lab that created Spark wants to speed up everything, including cures for cancer</title>
		<link>https://gigaom.com/2014/08/02/the-lab-that-created-spark-wants-to-speed-up-everything-including-cures-for-cancer/</link>
		<comments>https://gigaom.com/2014/08/02/the-lab-that-created-spark-wants-to-speed-up-everything-including-cures-for-cancer/#comments</comments>
		<pubDate>Sat, 02 Aug 2014 16:30:39 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AMPLab]]></category>
		<category><![CDATA[genetic research]]></category>
		<category><![CDATA[Mesos]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>

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		<description><![CDATA[AMPLab, the University of California, Berkeley, research group responsible for making Spark a household name in big data, has a lot more tricks up its sleeve. They range from databases to&#8230;]]></description>
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