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      <title>By Emeritus Prof Koh Thiam Chun</title>
      <description><![CDATA[ I think the technical research paper details can be used in multi-threading application with superscalar or pipleing strategy if this method can be further implement into high performance quantum computing concept like quantum search (O(square root of P)) on Dynamic optical network for non-entanglement for RWA algorithm for fast rout and wavelength assignment (Scalability) and  scheduling (Quality of Services,QoS) a large number of blocks affords the most scheduling flexibility, which can reduce load imbalance and multi data buffer overflow tp optimised the data compresssion algorithms. ]]></description>
      <link>http://software.intel.com/en-us/articles/exploiting-data-parallelism-in-ordered-data-streams/#comment-42259</link>
      <pubDate>Thu, 15 Apr 2010 03:39:33 -0700</pubDate>
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      <title>By Intel Guide for Developing Multithreaded Applications | Conceptual Space</title>
      <description><![CDATA[ n/a ]]></description>
      <link>http://software.intel.com/en-us/articles/exploiting-data-parallelism-in-ordered-data-streams/#comment-65504</link>
      <pubDate>Sat, 15 Oct 2011 21:53:31 -0700</pubDate>
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      <title>By Intel Guide for Developing Multithreaded Applications | nullptr</title>
      <description><![CDATA[ n/a ]]></description>
      <link>http://software.intel.com/en-us/articles/exploiting-data-parallelism-in-ordered-data-streams/#comment-69004</link>
      <pubDate>Mon, 02 Jan 2012 23:34:53 -0800</pubDate>
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      <title>By  Intel Guide for Developing Multithreaded Applications</title>
      <description><![CDATA[ n/a ]]></description>
      <link>http://software.intel.com/en-us/articles/exploiting-data-parallelism-in-ordered-data-streams/#comment-73941</link>
      <pubDate>Fri, 11 May 2012 02:33:19 -0700</pubDate>
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