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    <title>Slideshows for Tag: parallel</title>
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    <pubDate>Tue, 24 Nov 2009 19:20:39 GMT</pubDate>
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      <title>Venezuela: Perspectivas Econ&#243;micas (UPDATED 23/11/2009)</title>
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      <pubDate>Tue, 24 Nov 2009 19:20:39 GMT</pubDate>
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      <title>Parallel Perpendicular</title>
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        <![CDATA[<img src="http://cdn.slidesharecdn.com/parallelperpendicular-091116144048-phpapp01-thumbnail-2?1258406902" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Some photos taken in Sheffield that I used as a starting point to get my students talking about parallel and perpendicular lines.]]>
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      <pubDate>Mon, 16 Nov 2009 20:40:38 GMT</pubDate>
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        <media:description type="plain">Some photos taken in Sheffield that I used as a starting point to get my students talking about parallel and perpendicular lines.</media:description>
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      <title>Venezuelan Macroeconomic Outlook UPDATE (Noviembre, 2009)</title>
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      <pubDate>Fri, 13 Nov 2009 20:14:05 GMT</pubDate>
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      <title>Venezuelan Macroeconomic Outlook UPDATE (Noviembre, 2009)</title>
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      <pubDate>Fri, 13 Nov 2009 19:58:40 GMT</pubDate>
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      <title>GOOGLE: Designs, Lessons and Advice from Building Large   Distributed Systems </title>
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Distributed Systems
Jeff Dean
Google Fellow
jeff@google.com]]>
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Distributed Systems
Jeff Dean
Google Fellow
jeff@google.com]]>
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Distributed Systems
Jeff Dean
Google Fellow
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Distributed Systems
Jeff Dean
Google Fellow
jeff@google.com</media:text>
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      <title>Notes: Parallels and Transversals</title>
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      <title>introduction to data processing using Hadoop and Pig</title>
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YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London]]>
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YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London]]>
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        <media:description type="plain">In this talk we make an introduction to data processing with big data and review the basic concepts in MapReduce programming with Hadoop. We also comment about the use of Pig to simplify the development of data processing applications

YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London</media:description>
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YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London</media:text>
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      <title>Hadoop MapReduce - OSDC FR 2009</title>
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      <title>Distributed Computing</title>
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        <![CDATA[<img src="http://cdn.slidesharecdn.com/distributedcomputing-090921092320-phpapp01-thumbnail-2?1253543086" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Distributed computing deals with hardware and software systems containing more than one processing element or storage element, concurrent processes, or multiple programs, running under a loosely or tightly controlled regime. In distributed computing a program is split up into parts that run simultaneously on multiple computers communicating over a network. Distributed computing is a form of parallel computing, but parallel computing is most commonly used to describe program parts running simultaneously on multiple processors in the same computer. Both types of processing require dividing a program into parts that can run simultaneously, but distributed programs often must deal with heterogeneous environments, network links of varying latencies, and unpredictable failures in the network or the computers.]]>
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      <title>Using Parallel Propbanks to Enhance Word-alignments</title>
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        <media:description type="plain">This short paper describes the use of the linguistic annotation available in parallel PropBanks (Chinese and English) for the enhancement of automatically derived word alignments. Speci&#64257;cally, we suggest ways to re&#64257;ne and expand word alignments for verb-predicates by using predicate-argument structures. Evaluations demonstrate improved alignment accuracies that vary by corpus type.</media:description>
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