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    <title>topic Parallelism on processors vs cores and Matlab in Intel® Moderncode for Parallel Architectures</title>
    <link>https://community.intel.com/t5/Intel-Moderncode-for-Parallel/Parallelism-on-processors-vs-cores-and-Matlab/m-p/893493#M3892</link>
    <description>I have 2 Intel processors, each with 4 cores on my computer. Does Intel's C++ compiler support parallelism across both the processors and the cores so that I can use all 8 cores? Is there a different method used for accessing different processors versus different cores on a processor? In other words do I write a single parallelism in the code or must I use two different methods for distributing cpu across processors versus across cores on a single processor? Do I need the Intel Parallel tools as well?&lt;BR /&gt;&lt;BR /&gt;I am considering calling the Intel C++ compiler from Matlab. Do I lose any of the parallelizing capability of the compiler if I do this?&lt;BR /&gt;</description>
    <pubDate>Fri, 12 Feb 2010 20:06:08 GMT</pubDate>
    <dc:creator>rob248</dc:creator>
    <dc:date>2010-02-12T20:06:08Z</dc:date>
    <item>
      <title>Parallelism on processors vs cores and Matlab</title>
      <link>https://community.intel.com/t5/Intel-Moderncode-for-Parallel/Parallelism-on-processors-vs-cores-and-Matlab/m-p/893493#M3892</link>
      <description>I have 2 Intel processors, each with 4 cores on my computer. Does Intel's C++ compiler support parallelism across both the processors and the cores so that I can use all 8 cores? Is there a different method used for accessing different processors versus different cores on a processor? In other words do I write a single parallelism in the code or must I use two different methods for distributing cpu across processors versus across cores on a single processor? Do I need the Intel Parallel tools as well?&lt;BR /&gt;&lt;BR /&gt;I am considering calling the Intel C++ compiler from Matlab. Do I lose any of the parallelizing capability of the compiler if I do this?&lt;BR /&gt;</description>
      <pubDate>Fri, 12 Feb 2010 20:06:08 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Moderncode-for-Parallel/Parallelism-on-processors-vs-cores-and-Matlab/m-p/893493#M3892</guid>
      <dc:creator>rob248</dc:creator>
      <dc:date>2010-02-12T20:06:08Z</dc:date>
    </item>
    <item>
      <title>Parallelism on processors vs cores and Matlab</title>
      <link>https://community.intel.com/t5/Intel-Moderncode-for-Parallel/Parallelism-on-processors-vs-cores-and-Matlab/m-p/893494#M3893</link>
      <description>&lt;P&gt;Intel C++ includes OpenMP parallel threading support, as well as supporting OS native thread libraries. When threading across 2 CPUs, it's generally useful to employ the affinity schemes (KMP_AFFINITY environment variable and the like) and arrange your data structures so that each cache line is mosly used by 1 thread.&lt;/P&gt;
&lt;P&gt;A C++ OpenMP parallel function will work when called from another language, provided there is no conflicting threading scheme in the caller.&lt;/P&gt;</description>
      <pubDate>Sat, 13 Feb 2010 07:00:13 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Moderncode-for-Parallel/Parallelism-on-processors-vs-cores-and-Matlab/m-p/893494#M3893</guid>
      <dc:creator>TimP</dc:creator>
      <dc:date>2010-02-13T07:00:13Z</dc:date>
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