<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: MapReduce in C# using LINQ</title>
	<atom:link href="http://codecube.net/2009/02/mapreduce-in-c-using-linq/feed/" rel="self" type="application/rss+xml" />
	<link>http://codecube.net/2009/02/mapreduce-in-c-using-linq/</link>
	<description>Joel Martinez' weblog</description>
	<lastBuildDate>Thu, 29 Jul 2010 09:05:01 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0</generator>
	<item>
		<title>By: Joel Martinez</title>
		<link>http://codecube.net/2009/02/mapreduce-in-c-using-linq/comment-page-1/#comment-888</link>
		<dc:creator>Joel Martinez</dc:creator>
		<pubDate>Thu, 31 Dec 2009 20:13:42 +0000</pubDate>
		<guid isPermaLink="false">http://codecube.net/2009/02/mapreduce-in-c-using-linq/#comment-888</guid>
		<description>yes, you are right that distributed is more than multiple core. However, the point of the article wasn&#039;t to comment on the distributed nature of the popular mapreduce implementations, but to &quot;map&quot; linq operations into the mapreduce paradigm.  Map/Reduce is not inherently distributed anyways, that was just google&#039;s implementation :-)</description>
		<content:encoded><![CDATA[<p>yes, you are right that distributed is more than multiple core. However, the point of the article wasn&#8217;t to comment on the distributed nature of the popular mapreduce implementations, but to &#8220;map&#8221; linq operations into the mapreduce paradigm.  Map/Reduce is not inherently distributed anyways, that was just google&#8217;s implementation <img src='http://codecube.net/wp-includes/images/smilies/icon_smile.gif' alt=':-)' class='wp-smiley' /> </p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Maxi</title>
		<link>http://codecube.net/2009/02/mapreduce-in-c-using-linq/comment-page-1/#comment-884</link>
		<dc:creator>Maxi</dc:creator>
		<pubDate>Mon, 28 Dec 2009 03:47:34 +0000</pubDate>
		<guid isPermaLink="false">http://codecube.net/2009/02/mapreduce-in-c-using-linq/#comment-884</guid>
		<description>I think Linq still has a long way to go to match with MapReduce.
I don&#039;t think distributed simply means multi-cores but multi-machines.
I am currently using Linq and try to make it distributed, but its strong connection state will gets in your way since your result set are not independent. I think MapReduce ideas is not only the syntax but the whole architecture.</description>
		<content:encoded><![CDATA[<p>I think Linq still has a long way to go to match with MapReduce.<br />
I don&#8217;t think distributed simply means multi-cores but multi-machines.<br />
I am currently using Linq and try to make it distributed, but its strong connection state will gets in your way since your result set are not independent. I think MapReduce ideas is not only the syntax but the whole architecture.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: George Tsiokos</title>
		<link>http://codecube.net/2009/02/mapreduce-in-c-using-linq/comment-page-1/#comment-626</link>
		<dc:creator>George Tsiokos</dc:creator>
		<pubDate>Fri, 27 Feb 2009 15:55:50 +0000</pubDate>
		<guid isPermaLink="false">http://codecube.net/2009/02/mapreduce-in-c-using-linq/#comment-626</guid>
		<description>Here&#039;s another implementation:

DryadLINQ
&quot;the following line of code is a complete implementation of the Map-Reduce computation framework in DryadLINQ: public static IQueryable MapReduce(this IQueryable source, Expression&gt; mapper, Expression&gt; keySelector, Expression, TResult&gt;&gt; reducer) { return source.SelectMany(mapper).GroupBy(keySelector).Select(reducer); } &quot;

http://research.microsoft.com/en-us/projects/dryadlinq/default.aspx

I hope they bring this to Azure...</description>
		<content:encoded><![CDATA[<p>Here&#8217;s another implementation:</p>
<p>DryadLINQ<br />
&#8220;the following line of code is a complete implementation of the Map-Reduce computation framework in DryadLINQ: public static IQueryable MapReduce(this IQueryable source, Expression&gt; mapper, Expression&gt; keySelector, Expression, TResult&gt;&gt; reducer) { return source.SelectMany(mapper).GroupBy(keySelector).Select(reducer); } &#8221;</p>
<p><a href="http://research.microsoft.com/en-us/projects/dryadlinq/default.aspx" rel="nofollow">http://research.microsoft.com/en-us/projects/dryadlinq/default.aspx</a></p>
<p>I hope they bring this to Azure&#8230;</p>
]]></content:encoded>
	</item>
</channel>
</rss>
