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	<title>Channel 9 - Entries tagged with DryadLINQ</title>
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    <description>Channel 9 keeps you up to date with the latest news and behind the scenes info from Microsoft that developers love to keep up with. From LINQ to SilverLight – Watch videos and hear about all the cool technologies coming and the people behind them.</description>
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    <pubDate>Fri, 24 May 2013 08:45:57 GMT</pubDate>
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      <title>DryadLINQ</title>
      <description><![CDATA[In this demo we showcase efforts in MSR to collaborate with external researchers to explore the application of new technologies, specifically Dryad and DryadLINQ, to big data research problems in science. We also highlight our efforts to provide software
 and services to academics across the world, through the release of Dryad and DryadLINQ free of charge to the research community, along with associated programming guides, user documentation, and code libraries. Dryad is a general-purpose distributed computing
 engine, more flexible than MapReduce or Hadoop!, that was designed to simplify the task of implementing distributed applications on clusters of Windows computers. DryadLINQ is an abstraction layer which simplifies the process of implementing Dryad-based applications.
 Microsoft Research is acutely aware of the ubiquity of big data and the challenges this presents. We are offering researchers the tools, resources and collaboration to explore this new area.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/dryadlinq/RSS&WT.dl=0&WT.entryid=Entry:RSSView:4486806eb6b44aacb0209deb003cac3a">]]></description>
      <comments>http://channel9.msdn.com/Shows/TechFairSV/DryadLINQ</comments>
      <itunes:summary>In this demo we showcase efforts in MSR to collaborate with external researchers to explore the application of new technologies, specifically Dryad and DryadLINQ, to big data research problems in science. We also highlight our efforts to provide software
 and services to academics across the world, through the release of Dryad and DryadLINQ free of charge to the research community, along with associated programming guides, user documentation, and code libraries. Dryad is a general-purpose distributed computing
 engine, more flexible than MapReduce or Hadoop!, that was designed to simplify the task of implementing distributed applications on clusters of Windows computers. DryadLINQ is an abstraction layer which simplifies the process of implementing Dryad-based applications.
 Microsoft Research is acutely aware of the ubiquity of big data and the challenges this presents. We are offering researchers the tools, resources and collaboration to explore this new area.
</itunes:summary>
      <itunes:duration>184</itunes:duration>
      <link>http://channel9.msdn.com/Shows/TechFairSV/DryadLINQ</link>
      <pubDate>Thu, 06 May 2010 23:25:00 GMT</pubDate>
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      <dc:creator>TechFest</dc:creator>
      <itunes:author>TechFest</itunes:author>
      <slash:comments>4</slash:comments>
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      <category>Cloud Computing</category>
      <category>Dryad</category>
      <category>DryadLINQ</category>
      <category>Microsoft Research</category>
      <category>MS Research</category>
      <category>Parallel Computing</category>
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  <item>
      <title>Expert to Expert: Erik Meijer and Michael Isard - Inside Dryad</title>
      <description><![CDATA[Microsoft Research recently announced the availability, under <a shape="rect" href="http://research.microsoft.com/en-us/downloads/03960cab-bb92-4c5c-be23-ce51aee0792c/default.aspx" target="_blank" shape="rect">
Academic Licensing</a>,&nbsp;of <a shape="rect" href="http://research.microsoft.com/en-us/collaboration/tools/dryad.aspx" target="_blank" shape="rect">
Dryad</a>, an infrastructure which allows a programmer to use the resources of a computer cluster or a data center for running data-parallel programs.
<br /><br /><em>A Dryad programmer can use thousands of machines, each of them with multiple processors or cores, without knowing anything about concurrent programming.</em>
<br /><br />That's a pretty&nbsp;heady statement. What does Dryad do, <em>exactly</em>, to enable this level of abstraction, shielding programmers&nbsp;from the incredibly complex world of distributed parallel computing? Does the level of abstraction impact the degree to which sophisticated
 programmers can interact with and control some of the low level mechanisms of the Dryad runtime? What is it about LINQ that made it the no-brainer managed programming abstraction for Dryad?
<br /><br />Simply, how does Dryad <em>work? </em>This is the core question that Erik and I had after
<a shape="rect" href="http://channel9.msdn.com/posts/Charles/Expert-to-Expert-Erik-Roger-Barga-Introduction-to-Dryad-and-DryadLINQ/" target="_blank" shape="rect">
our conversation with Roger Barga </a>(part one of this E2E mini-series on Dryad and DryadLINQ - perhaps we should focus just on DryadLINQ next time, but for now, all the information in this conversation is certain to keep you very busy and answer many questions
 you may have after learning about Dryad in part one...).&nbsp;<br /><br />Lots of whiteboarding here.&nbsp;Put on&nbsp;your thinking caps!<br /><br />Enjoy.  <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/dryadlinq/RSS&WT.dl=0&WT.entryid=Entry:RSSView:fea6787dd6d14f8681569dea00433578">]]></description>
      <comments>http://channel9.msdn.com/Shows/Going+Deep/Expert-to-Expert-Erik-Meijer-and-Michael-Isard-Inside-Dryad</comments>
      <itunes:summary>Microsoft Research recently announced the availability, under 
Academic Licensing,&amp;nbsp;of 
Dryad, an infrastructure which allows a programmer to use the resources of a computer cluster or a data center for running data-parallel programs.
A Dryad programmer can use thousands of machines, each of them with multiple processors or cores, without knowing anything about concurrent programming.
That&#39;s a pretty&amp;nbsp;heady statement. What does Dryad do, exactly, to enable this level of abstraction, shielding programmers&amp;nbsp;from the incredibly complex world of distributed parallel computing? Does the level of abstraction impact the degree to which sophisticated
 programmers can interact with and control some of the low level mechanisms of the Dryad runtime? What is it about LINQ that made it the no-brainer managed programming abstraction for Dryad?
Simply, how does Dryad work? This is the core question that Erik and I had after

our conversation with Roger Barga (part one of this E2E mini-series on Dryad and DryadLINQ - perhaps we should focus just on DryadLINQ next time, but for now, all the information in this conversation is certain to keep you very busy and answer many questions
 you may have after learning about Dryad in part one...).&amp;nbsp;Lots of whiteboarding here.&amp;nbsp;Put on&amp;nbsp;your thinking caps!Enjoy. </itunes:summary>
      <itunes:duration>3993</itunes:duration>
      <link>http://channel9.msdn.com/Shows/Going+Deep/Expert-to-Expert-Erik-Meijer-and-Michael-Isard-Inside-Dryad</link>
      <pubDate>Tue, 21 Jul 2009 15:55:00 GMT</pubDate>
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      <dc:creator>Charles</dc:creator>
      <itunes:author>Charles</itunes:author>
      <slash:comments>15</slash:comments>
      <wfw:commentRss>http://channel9.msdn.com/Shows/Going+Deep/Expert-to-Expert-Erik-Meijer-and-Michael-Isard-Inside-Dryad/RSS</wfw:commentRss>
      <category>Architecture</category>
      <category>C++</category>
      <category>Cloud Computing</category>
      <category>Concurrency</category>
      <category>Distributed Computing</category>
      <category>Dryad</category>
      <category>DryadLINQ</category>
      <category>Erik Meijer</category>
      <category>Michael Isard</category>
      <category>Parallel Computing</category>
      <category>Programming</category>
    </item>
  <item>
      <title>Expert to Expert: Erik Meijer and Roger Barga - Introduction to Dryad and DryadLINQ</title>
      <description><![CDATA[
<p>Microsoft Research recently announced the availability, under <a shape="rect" href="http://research.microsoft.com/en-us/downloads/03960cab-bb92-4c5c-be23-ce51aee0792c/default.aspx" target="_blank" shape="rect">
Academic Licensing</a>,&nbsp;of <a shape="rect" href="http://research.microsoft.com/en-us/collaboration/tools/dryad.aspx " target="_blank" shape="rect">
Dryad</a>, an infrastructure which allows a programmer to use the resources of a computer cluster or a data center for running data-parallel programs. A Dryad programmer can use thousands of machines, each of them with multiple processors or cores, without
 knowing anything about concurrent programming.<br />&nbsp;<br /><a shape="rect" href="http://research.microsoft.com/en-us/projects/dryadlinq/default.aspx" target="_blank" shape="rect">DryadLINQ</a> is the managed high level programming abstraction used to compose Dryad vertex topology graphs that the Dryad infrastructure
 uses to partition parallel computations. Here, Erik Meijer and Dryad team member Roger Barga discuss Drayad and DryadLINQ at a high level so that most of us can understand the implications, history and future of Dryad. This is an introductory piece. Erik and
 I will dive deep into Dryad with one of the scientists behind it&nbsp;in the second part of this Expert to Expert mini series on Dryad. UPDATE: The
<a shape="rect" href="http://channel9.msdn.com/shows/Going&#43;Deep/Expert-to-Expert-Erik-Meijer-and-Michael-Isard-Inside-Dryad/" shape="rect">
Going Deep episode on Dryad is now live</a>.<br /><br />Enjoy! This is incredible and important technology for simplifying the inherent complexity of distributed computation in the cloud. In essence, DryadLINQ enables a sequential programming experience over what will execute across potentially thousands of machines
 (depending upon the computational complexity of the program) concurrently.&nbsp;&nbsp;Much to learn here. Channel 9 will help teach.<br /><br /><strong>Editorial note</strong>: When we discuss native code and the implementation of Dryad, the focus is on DryadLINQ
<em>not</em> the Dryad infrastructure and low level vertex APIs, which&nbsp;are written in C&#43;&#43;. Just to be clear...<br /><br />Useful links:<br /><br />Connect site: <a shape="rect" href="http://connect.microsoft.com/site/sitehome.aspx?SiteID=891" shape="rect">
http://connect.microsoft.com/site/sitehome.aspx?SiteID=891</a> </p>
<p>ER Website on Academic Use: <a shape="rect" href="http://research.microsoft.com/en-us/collaboration/tools/dryad.aspx" shape="rect">
http://research.microsoft.com/en-us/collaboration/tools/dryad.aspx</a> </p>
<p>MSR Info: <a shape="rect" href="http://research.microsoft.com/en-us/projects/dryadlinq/" shape="rect">
http://research.microsoft.com/en-us/projects/dryadlinq/</a> </p>
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/dryadlinq/RSS&WT.dl=0&WT.entryid=Entry:RSSView:6d0adee860b74ba7804d9dea00ca82cf">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Charles/Expert-to-Expert-Erik-Roger-Barga-Introduction-to-Dryad-and-DryadLINQ</comments>
      <itunes:summary>
Microsoft Research recently announced the availability, under 
Academic Licensing,&amp;nbsp;of 
Dryad, an infrastructure which allows a programmer to use the resources of a computer cluster or a data center for running data-parallel programs. A Dryad programmer can use thousands of machines, each of them with multiple processors or cores, without
 knowing anything about concurrent programming.&amp;nbsp;DryadLINQ is the managed high level programming abstraction used to compose Dryad vertex topology graphs that the Dryad infrastructure
 uses to partition parallel computations. Here, Erik Meijer and Dryad team member Roger Barga discuss Drayad and DryadLINQ at a high level so that most of us can understand the implications, history and future of Dryad. This is an introductory piece. Erik and
 I will dive deep into Dryad with one of the scientists behind it&amp;nbsp;in the second part of this Expert to Expert mini series on Dryad. UPDATE: The

Going Deep episode on Dryad is now live.Enjoy! This is incredible and important technology for simplifying the inherent complexity of distributed computation in the cloud. In essence, DryadLINQ enables a sequential programming experience over what will execute across potentially thousands of machines
 (depending upon the computational complexity of the program) concurrently.&amp;nbsp;&amp;nbsp;Much to learn here. Channel 9 will help teach.Editorial note: When we discuss native code and the implementation of Dryad, the focus is on DryadLINQ
not the Dryad infrastructure and low level vertex APIs, which&amp;nbsp;are written in C&amp;#43;&amp;#43;. Just to be clear...Useful links:Connect site: 
http://connect.microsoft.com/site/sitehome.aspx?SiteID=891  
ER Website on Academic Use: 
http://research.microsoft.com/en-us/collaboration/tools/dryad.aspx  
MSR Info: 
http://research.microsoft.com/en-us/projects/dryadlinq/  
</itunes:summary>
      <itunes:duration>1945</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Charles/Expert-to-Expert-Erik-Roger-Barga-Introduction-to-Dryad-and-DryadLINQ</link>
      <pubDate>Thu, 16 Jul 2009 16:43:00 GMT</pubDate>
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      <dc:creator>Charles</dc:creator>
      <itunes:author>Charles</itunes:author>
      <slash:comments>12</slash:comments>
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      <category>Concurrency</category>
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      <category>DryadLINQ</category>
      <category>Erik Meijer</category>
      <category>Expert to Expert</category>
      <category>LINQ</category>
      <category>Parallel Computing</category>
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