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	<title>kb.hurricane-ridge.com &#187; hpc</title>
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	<description>My personal - but public - knowledge base</description>
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		<title>Bookmarks for September 28, 2009</title>
		<link>http://kb.hurricane-ridge.com/links/bookmarks-for-september-28-2009</link>
		<comments>http://kb.hurricane-ridge.com/links/bookmarks-for-september-28-2009#comments</comments>
		<pubDate>Fri, 02 Oct 2009 00:20:09 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Links]]></category>
		<category><![CDATA[hpc]]></category>
		<category><![CDATA[Sun Grid Engine]]></category>

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		<description><![CDATA[Links for September 28, 2009:

Grid Engine Administration &#8211; Training Slides : BioTeam Inc. &#8211; &#34;PDF versions of some Grid Engine Administration training slides that BioTeam has used in the past.&#34;

]]></description>
			<content:encoded><![CDATA[<p>Links for September 28, 2009:</p>
<ul>
<li><a href="http://blog.bioteam.net/2009/09/28/sge-training-slides/">Grid Engine Administration &ndash; Training Slides : BioTeam Inc.</a> &#8211; &quot;PDF versions of some Grid Engine Administration training slides that BioTeam has used in the past.&quot;</li>
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		<title>Bookmarks for September 26, 2009</title>
		<link>http://kb.hurricane-ridge.com/links/bookmarks-for-september-26-2009</link>
		<comments>http://kb.hurricane-ridge.com/links/bookmarks-for-september-26-2009#comments</comments>
		<pubDate>Fri, 02 Oct 2009 00:19:22 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Links]]></category>
		<category><![CDATA[hpc]]></category>
		<category><![CDATA[sun]]></category>
		<category><![CDATA[Sun Grid Engine]]></category>

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		<description><![CDATA[Links for September 26, 2009:

Grid Engine and Amazon EC2 &#8211; Chris Dagdigian&#39;s 2009 Sun HPC Workshop presentation slides.

]]></description>
			<content:encoded><![CDATA[<p>Links for September 26, 2009:</p>
<ul>
<li><a href="http://blog.bioteam.net/wp-content/uploads/2009/09/2009-SGE-EC2.pdf">Grid Engine and Amazon EC2</a> &#8211; Chris Dagdigian&#39;s 2009 Sun HPC Workshop presentation slides.</li>
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		<title>Bookmarks for April 14, 2009</title>
		<link>http://kb.hurricane-ridge.com/links/bookmarks-for-april-14-2009</link>
		<comments>http://kb.hurricane-ridge.com/links/bookmarks-for-april-14-2009#comments</comments>
		<pubDate>Tue, 28 Apr 2009 21:05:58 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Links]]></category>
		<category><![CDATA[cloud]]></category>
		<category><![CDATA[cloud computing]]></category>
		<category><![CDATA[hpc]]></category>
		<category><![CDATA[lustre]]></category>
		<category><![CDATA[proteomics]]></category>

		<guid isPermaLink="false">http://kb.hurricane-ridge.com/?p=414</guid>
		<description><![CDATA[Links for April 14, 2009:

Lustre Wiki Main Page &#8211; &#34;For the world&#39;s largest and most complex computing environments, the Lustre&#8482; file system redefines high performance, scaling to tens of thousands of nodes and petabytes of storage with groundbreaking I/O and metadata throughput.&#34;
Virtual Proteomics Data Analysis Cluster &#124; proteomics.mcw.edu &#8211; &#34;ViPDAC uses Amazon Web Services to [...]]]></description>
			<content:encoded><![CDATA[<p>Links for April 14, 2009:</p>
<ul>
<li><a href="http://wiki.lustre.org/index.php/Main_Page">Lustre Wiki Main Page</a> &#8211; &quot;For the world&#39;s largest and most complex computing environments, the Lustre&trade; file system redefines high performance, scaling to tens of thousands of nodes and petabytes of storage with groundbreaking I/O and metadata throughput.&quot;</li>
<li><a href="http://proteomics.mcw.edu/vipdac">Virtual Proteomics Data Analysis Cluster | proteomics.mcw.edu</a> &#8211; &quot;ViPDAC uses Amazon Web Services to analyze proteomics data&#8230; ViPDAC [runs] on one of Amazon&rsquo;s servers from where you can now access the ViPDAC web interface. At this point normal proteomics analysis procedures take over &#8211; you can pick an existing set of parameters or configure a new analysis (cleavage enzyme, modifications, protein database to search, etc) and select your data file (spectra in .mgf format) and then submit the job. ViPDAC will then upload the data file to the your area on Amazon&rsquo;s S3 storage and run the analysis using the EC2 nodes available in your cluster. Once the analysis is complete ViPDAC will compile the results and save them back onto S3 where they can be stored or downloaded to the desktop for further analysis. At this point you can continue to do more analyses or simply turn the cluster off until you need it again.&quot;</li>
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