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	<title>Comments on: If you claim high scalability&#8230;</title>
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	<link>http://lemire.me/blog/archives/2008/08/25/if-you-claim-high-scalability/</link>
	<description>Computer Scientist and Open Scholar: Databases, Information Retrieval, Business Intelligence.</description>
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		<title>By: Kevembuangga</title>
		<link>http://lemire.me/blog/archives/2008/08/25/if-you-claim-high-scalability/comment-page-1/#comment-50125</link>
		<dc:creator>Kevembuangga</dc:creator>
		<pubDate>Tue, 26 Aug 2008 07:22:53 +0000</pubDate>
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		<description>&lt;i&gt;But where is the fun in that?&lt;/i&gt;

What do you mean?
Not trusting a &quot;proof&quot; over only 2000 datapoints?</description>
		<content:encoded><![CDATA[<p><i>But where is the fun in that?</i></p>
<p>What do you mean?<br />
Not trusting a &#8220;proof&#8221; over only 2000 datapoints?</p>
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		<title>By: D. Eppstein</title>
		<link>http://lemire.me/blog/archives/2008/08/25/if-you-claim-high-scalability/comment-page-1/#comment-50122</link>
		<dc:creator>D. Eppstein</dc:creator>
		<pubDate>Mon, 25 Aug 2008 20:38:09 +0000</pubDate>
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		<description>&lt;i&gt;Their algorithm runs in O(n) time, so to know how long it would take to process 1000 times more data, just multiply by 1000.&lt;/i&gt;

Is that even true? It ignores memory hierarchy effects.</description>
		<content:encoded><![CDATA[<p><i>Their algorithm runs in O(n) time, so to know how long it would take to process 1000 times more data, just multiply by 1000.</i></p>
<p>Is that even true? It ignores memory hierarchy effects.</p>
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