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    <title>topic KMP, OMP, MKL configuration IntelPython 2019 with TensorFlow 1.6 in Software Archive</title>
    <link>https://community.intel.com/t5/Software-Archive/KMP-OMP-MKL-configuration-IntelPython-2019-with-TensorFlow-1-6/m-p/1128968#M77780</link>
    <description>&lt;P&gt;I am running on a Supermicro K1SPE motherboard (&lt;SPAN style="font-size: 13.008px;"&gt;BIOS 2.0a)&amp;nbsp;&lt;/SPAN&gt;with a XeonPhi 7250, &amp;nbsp;214Gb memory and CentOS 7.5 (pls see attached). This system is running &lt;STRONG&gt;very&amp;nbsp;&lt;/STRONG&gt;slow. &amp;nbsp;I originally thought it was a Jupyter NotebookChrome problem but the problem persists when running on IntelPython 2019. &amp;nbsp;I have tried many combinations of OMP, KMP and MKL to no avail. &amp;nbsp;I included the environment code from a tensorflow model which takes about 10 min to run on the XeonPhi and 2 min to run on a i5 Surface (a new Surface would have been a lot cheaper). &amp;nbsp;When I run VTune, I am only utilizing 4.65 logical CPUs out of a 272 total and memory is stalled. &amp;nbsp;I thought this would improve with IntelPython 2019 but things are just as bad. At least I can run TensorFlow 1.6 on IntelPython 2019 versus 1.3 on 2018, however the ent version of TensorFlow is 1.10. &amp;nbsp;I am sure I am not the only person with this problem as TensorFlow is a very popular application. &amp;nbsp;Please see attached scan for additional documents. &amp;nbsp;I can be reached in my office ***.***.3611 cell ***.***.7001 if you need additional information. &amp;nbsp;Phil&lt;/P&gt;</description>
    <pubDate>Thu, 13 Sep 2018 16:53:17 GMT</pubDate>
    <dc:creator>POter</dc:creator>
    <dc:date>2018-09-13T16:53:17Z</dc:date>
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      <title>KMP, OMP, MKL configuration IntelPython 2019 with TensorFlow 1.6</title>
      <link>https://community.intel.com/t5/Software-Archive/KMP-OMP-MKL-configuration-IntelPython-2019-with-TensorFlow-1-6/m-p/1128968#M77780</link>
      <description>&lt;P&gt;I am running on a Supermicro K1SPE motherboard (&lt;SPAN style="font-size: 13.008px;"&gt;BIOS 2.0a)&amp;nbsp;&lt;/SPAN&gt;with a XeonPhi 7250, &amp;nbsp;214Gb memory and CentOS 7.5 (pls see attached). This system is running &lt;STRONG&gt;very&amp;nbsp;&lt;/STRONG&gt;slow. &amp;nbsp;I originally thought it was a Jupyter NotebookChrome problem but the problem persists when running on IntelPython 2019. &amp;nbsp;I have tried many combinations of OMP, KMP and MKL to no avail. &amp;nbsp;I included the environment code from a tensorflow model which takes about 10 min to run on the XeonPhi and 2 min to run on a i5 Surface (a new Surface would have been a lot cheaper). &amp;nbsp;When I run VTune, I am only utilizing 4.65 logical CPUs out of a 272 total and memory is stalled. &amp;nbsp;I thought this would improve with IntelPython 2019 but things are just as bad. At least I can run TensorFlow 1.6 on IntelPython 2019 versus 1.3 on 2018, however the ent version of TensorFlow is 1.10. &amp;nbsp;I am sure I am not the only person with this problem as TensorFlow is a very popular application. &amp;nbsp;Please see attached scan for additional documents. &amp;nbsp;I can be reached in my office ***.***.3611 cell ***.***.7001 if you need additional information. &amp;nbsp;Phil&lt;/P&gt;</description>
      <pubDate>Thu, 13 Sep 2018 16:53:17 GMT</pubDate>
      <guid>https://community.intel.com/t5/Software-Archive/KMP-OMP-MKL-configuration-IntelPython-2019-with-TensorFlow-1-6/m-p/1128968#M77780</guid>
      <dc:creator>POter</dc:creator>
      <dc:date>2018-09-13T16:53:17Z</dc:date>
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