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	<title>Comments on: Cluster computing, with large data, for the classroom</title>
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	<link>http://blog.jonudell.net/2008/03/27/cluster-computing-with-large-data-for-the-classroom/</link>
	<description>Strategies for Internet citizens</description>
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		<title>By: Meet the New Flaw &#171; Software Carpentry</title>
		<link>http://blog.jonudell.net/2008/03/27/cluster-computing-with-large-data-for-the-classroom/#comment-133869</link>
		<dc:creator><![CDATA[Meet the New Flaw &#171; Software Carpentry]]></dc:creator>
		<pubDate>Sat, 17 Apr 2010 12:19:49 +0000</pubDate>
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		<description><![CDATA[[...] Meet the New&#160;Flaw  I was pretty excited when I heard that Microsoft was getting into scientific computing. As the world&#8217;s biggest desktop software company, I figured they might understand that scientific computing and high-performance computing are not automatically the same thing, and that reliability and reproducibility are more important than peak performance. Turns out I was wrong: the workshop I attended last September was dominated by discussion of topics like GPU programming and computational grids that are still bleeding-edge computer science, rather than the nuts and bolts that would actually help most scientists be productive day-to-day, Microsoft&#8217;s new HPC++ Computational Finance lab&#8217;s site has a lot on speed but nothing on correctness, et cetera. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Meet the New&nbsp;Flaw  I was pretty excited when I heard that Microsoft was getting into scientific computing. As the world&#8217;s biggest desktop software company, I figured they might understand that scientific computing and high-performance computing are not automatically the same thing, and that reliability and reproducibility are more important than peak performance. Turns out I was wrong: the workshop I attended last September was dominated by discussion of topics like GPU programming and computational grids that are still bleeding-edge computer science, rather than the nuts and bolts that would actually help most scientists be productive day-to-day, Microsoft&#8217;s new HPC++ Computational Finance lab&#8217;s site has a lot on speed but nothing on correctness, et cetera. [...]</p>
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		<title>By: The Third Bit &#187; Blog Archive &#187; Meet the New Flaw</title>
		<link>http://blog.jonudell.net/2008/03/27/cluster-computing-with-large-data-for-the-classroom/#comment-122983</link>
		<dc:creator><![CDATA[The Third Bit &#187; Blog Archive &#187; Meet the New Flaw]]></dc:creator>
		<pubDate>Mon, 31 Mar 2008 19:39:51 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jonudell.net/?p=355#comment-122983</guid>
		<description><![CDATA[[...] I was pretty excited when I heard that Microsoft was getting into scientific computing. As the world&#8217;s biggest desktop software company, I figured they might understand that scientific computing and high-performance computing are not automatically the same thing, and that reliability and reproducibility are more important than peak performance. Turns out I was wrong: the workshop I attended last September was dominated by discussion of topics like GPU programming and computational grids that are still bleeding-edge computer science, rather than the nuts and bolts that would actually help most scientists be productive day-to-day, Microsoft&#8217;s new HPC++ Computational Finance lab&#8217;s site has a lot on speed but nothing on correctness, et cetera. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] I was pretty excited when I heard that Microsoft was getting into scientific computing. As the world&#8217;s biggest desktop software company, I figured they might understand that scientific computing and high-performance computing are not automatically the same thing, and that reliability and reproducibility are more important than peak performance. Turns out I was wrong: the workshop I attended last September was dominated by discussion of topics like GPU programming and computational grids that are still bleeding-edge computer science, rather than the nuts and bolts that would actually help most scientists be productive day-to-day, Microsoft&#8217;s new HPC++ Computational Finance lab&#8217;s site has a lot on speed but nothing on correctness, et cetera. [...]</p>
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		<title>By: Jon Udell</title>
		<link>http://blog.jonudell.net/2008/03/27/cluster-computing-with-large-data-for-the-classroom/#comment-122961</link>
		<dc:creator><![CDATA[Jon Udell]]></dc:creator>
		<pubDate>Fri, 28 Mar 2008 11:26:20 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jonudell.net/?p=355#comment-122961</guid>
		<description><![CDATA[&quot;you should make sure the mp3s that are enclosed in the rss feed have good metadata.&quot;

Busted. Thanks for the reminder. I was being lazy about it because I&#039;d started to think that most people probably do what I do, which is to screen stuff in the podcatcher where the RSS metadata provides the context. (Though I&#039;ve just noticed there&#039;s a bit more to add there as well). 

I wonder what percentage of folks never screen stuff in the podcatcher and rely mainly on the player? In event, it&#039;s nonzero, so I&#039;ll update the existing files and put in title/date/description ID3 tags going forward.

Thanks again for the nudge.]]></description>
		<content:encoded><![CDATA[<p>&#8220;you should make sure the mp3s that are enclosed in the rss feed have good metadata.&#8221;</p>
<p>Busted. Thanks for the reminder. I was being lazy about it because I&#8217;d started to think that most people probably do what I do, which is to screen stuff in the podcatcher where the RSS metadata provides the context. (Though I&#8217;ve just noticed there&#8217;s a bit more to add there as well). </p>
<p>I wonder what percentage of folks never screen stuff in the podcatcher and rely mainly on the player? In event, it&#8217;s nonzero, so I&#8217;ll update the existing files and put in title/date/description ID3 tags going forward.</p>
<p>Thanks again for the nudge.</p>
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		<title>By: atduskgreg</title>
		<link>http://blog.jonudell.net/2008/03/27/cluster-computing-with-large-data-for-the-classroom/#comment-122959</link>
		<dc:creator><![CDATA[atduskgreg]]></dc:creator>
		<pubDate>Fri, 28 Mar 2008 04:34:29 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jonudell.net/?p=355#comment-122959</guid>
		<description><![CDATA[Hey Jon, have been really enjoying this new podcast, but I have one minor technical criticism: you should make sure the mp3s that are enclosed in the rss feed have good metadata. Right now they have bad titles and no artist or album info. Until you wrote this post, I hadn&#039;t even noticed that this most recent episode had gone out since the only thing that showed up in my itunes was a track with the title &quot;hpc&quot;. ID3 info is a great metadata opportunity (there&#039;s 60+ fields so you can get really rich with it and include full show notes and anything else you can think of) and a vital one since the mp3 very quickly moves beyond the original context in which it reaches the user. Obviously, I&#039;m preaching to the converted here on this...]]></description>
		<content:encoded><![CDATA[<p>Hey Jon, have been really enjoying this new podcast, but I have one minor technical criticism: you should make sure the mp3s that are enclosed in the rss feed have good metadata. Right now they have bad titles and no artist or album info. Until you wrote this post, I hadn&#8217;t even noticed that this most recent episode had gone out since the only thing that showed up in my itunes was a track with the title &#8220;hpc&#8221;. ID3 info is a great metadata opportunity (there&#8217;s 60+ fields so you can get really rich with it and include full show notes and anything else you can think of) and a vital one since the mp3 very quickly moves beyond the original context in which it reaches the user. Obviously, I&#8217;m preaching to the converted here on this&#8230;</p>
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