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    <title>Intel Software Network Comments Feed</title>
    <link>http://software.intel.com/en-us/articles/transitioning-software-to-future-generations-of-multi-core</link>
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      <title>By thiamchunkoh</title>
      <description><![CDATA[ The GPU can be program in pattern based Parallel Programming under off load TCP/IP for graphics programming with NIVDIA program using CUDA application software. The native C language is used to progem the Kernel level based on the device drivers program that is cross platform on Platform Independent Model, PIM and  Platform Specific Model (PSM) with abstract mapping to Windows Operating System and Linux Operating system if the hetergenious architecture can be implemented into Enterprise Application Integration (EAI) with Web Services implemented in Service Oriented Architecture (SOA) running with CUDA application with Autonomic Computing Concept (Agent-based, Emergent Based and Bio-struct based) programming with Artificial Intelligence component into it for NVIDIA GPU programming instead of IA 32 to IA 64 hardware architecture will further enhance the Graphic programming to be dynamically executed than static procedure. hope I am right about it andy comment is welcome for further discussion in the Intel Software Network, (ISN) ]]></description>
      <link>http://software.intel.com/en-us/articles/transitioning-software-to-future-generations-of-multi-core/#comment-37043</link>
      <pubDate>Sat, 19 Dec 2009 21:38:57 -0800</pubDate>
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    <item>
      <title>By 1000-magos processzort </title>
      <description><![CDATA[ n/a ]]></description>
      <link>http://software.intel.com/en-us/articles/transitioning-software-to-future-generations-of-multi-core/#comment-52069</link>
      <pubDate>Sun, 21 Nov 2010 23:05:24 -0800</pubDate>
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