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    <title>topic intel mkl openmp Multi-threading in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769606#M515</link>
    <description>Your choice of libmkl_sequential.a library ensures that all MKL functions are serialized.</description>
    <pubDate>Fri, 30 Dec 2011 13:22:50 GMT</pubDate>
    <dc:creator>TimP</dc:creator>
    <dc:date>2011-12-30T13:22:50Z</dc:date>
    <item>
      <title>intel mkl openmp Multi-threading</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769605#M514</link>
      <description>I have installed non-comercial version of composer_xe_2011 in a Intel Xeon CPU E5450 @ 3.00GHz Mechine.&lt;BR /&gt;this mechine has 8 core.&lt;BR /&gt;But i could not able to use all the core using openMP for a mkl function DSYEV.&lt;BR /&gt;I have set "export MKL_NUM_THREADS=4" and "export=OMP_NUM_THREADS=4"&lt;BR /&gt;I am compiling with the folloing option--&lt;BR /&gt;--&lt;BR /&gt;icc dssyev.c -Wl,--start-group /opt/intel/mkl/lib/intel64/libmkl_intel_lp64.a /opt/intel/mkl/lib/intel64/libmkl_sequential.a /opt/intel/mkl/lib/intel64/libmkl_core.a -Wl,--end-group -lpthread -openmp&lt;BR /&gt;--&lt;BR /&gt;I have also setup the variables path by &lt;BR /&gt;source /opt/intel/mkl/bin/intel64/mklvars_intel64.sh intel64&lt;BR /&gt;&lt;BR /&gt;But nothing seems to work. &lt;BR /&gt;Please Help me.&lt;BR /&gt;</description>
      <pubDate>Fri, 30 Dec 2011 12:01:27 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769605#M514</guid>
      <dc:creator>Saurabh_Pradhan1</dc:creator>
      <dc:date>2011-12-30T12:01:27Z</dc:date>
    </item>
    <item>
      <title>intel mkl openmp Multi-threading</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769606#M515</link>
      <description>Your choice of libmkl_sequential.a library ensures that all MKL functions are serialized.</description>
      <pubDate>Fri, 30 Dec 2011 13:22:50 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769606#M515</guid>
      <dc:creator>TimP</dc:creator>
      <dc:date>2011-12-30T13:22:50Z</dc:date>
    </item>
    <item>
      <title>intel mkl openmp Multi-threading</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769607#M516</link>
      <description>Thanks for your reply.&lt;BR /&gt;It realy solves my problem.</description>
      <pubDate>Fri, 30 Dec 2011 16:15:54 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769607#M516</guid>
      <dc:creator>Saurabh_Pradhan1</dc:creator>
      <dc:date>2011-12-30T16:15:54Z</dc:date>
    </item>
    <item>
      <title>intel mkl openmp Multi-threading</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769608#M517</link>
      <description>Thanks for your reply.&lt;BR /&gt;It really solves my pro0blem.</description>
      <pubDate>Fri, 30 Dec 2011 16:16:46 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/intel-mkl-openmp-Multi-threading/m-p/769608#M517</guid>
      <dc:creator>Saurabh_Pradhan1</dc:creator>
      <dc:date>2011-12-30T16:16:46Z</dc:date>
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