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    <title>topic MKL Scalapack uses much more RAM than NETLIB version in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/MKL-Scalapack-uses-much-more-RAM-than-NETLIB-version/m-p/1141712#M26343</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I really enjoy using MKL libraries&amp;nbsp;since they are much&amp;nbsp;faster on our&amp;nbsp;36 core&amp;nbsp;Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz mashine. However our scientific research requires diagonalization of very large matrices which consume a lot of memory and MKL&amp;nbsp;scalapack uses much more memory compared to NETLIB version. I am attaching&amp;nbsp;graph where i show memory consumption of our code using intel and netlib libraries. Diagonalisation (pdsyevr) is performed between vertical lines. One can notice sudden leap of used memory in the middle of diagonalisation procedure in MKL version. Is it possible somehow to get rid of this&amp;nbsp;behavior since it drains all RAM.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="used_memory.png"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/10588i024E0F5244B61B4C/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="used_memory.png" alt="used_memory.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Sincerely,&lt;/P&gt;&lt;P&gt;Lukas&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sun, 17 Nov 2019 10:14:43 GMT</pubDate>
    <dc:creator>Razinkovas__Lukas</dc:creator>
    <dc:date>2019-11-17T10:14:43Z</dc:date>
    <item>
      <title>MKL Scalapack uses much more RAM than NETLIB version</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/MKL-Scalapack-uses-much-more-RAM-than-NETLIB-version/m-p/1141712#M26343</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I really enjoy using MKL libraries&amp;nbsp;since they are much&amp;nbsp;faster on our&amp;nbsp;36 core&amp;nbsp;Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz mashine. However our scientific research requires diagonalization of very large matrices which consume a lot of memory and MKL&amp;nbsp;scalapack uses much more memory compared to NETLIB version. I am attaching&amp;nbsp;graph where i show memory consumption of our code using intel and netlib libraries. Diagonalisation (pdsyevr) is performed between vertical lines. One can notice sudden leap of used memory in the middle of diagonalisation procedure in MKL version. Is it possible somehow to get rid of this&amp;nbsp;behavior since it drains all RAM.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="used_memory.png"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/10588i024E0F5244B61B4C/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="used_memory.png" alt="used_memory.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Sincerely,&lt;/P&gt;&lt;P&gt;Lukas&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 17 Nov 2019 10:14:43 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/MKL-Scalapack-uses-much-more-RAM-than-NETLIB-version/m-p/1141712#M26343</guid>
      <dc:creator>Razinkovas__Lukas</dc:creator>
      <dc:date>2019-11-17T10:14:43Z</dc:date>
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    <item>
      <title>What is the problem size and</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/MKL-Scalapack-uses-much-more-RAM-than-NETLIB-version/m-p/1141713#M26344</link>
      <description>&lt;P&gt;What is the problem size and how many mpi processes you are running this case?&lt;/P&gt;</description>
      <pubDate>Wed, 20 Nov 2019 06:06:11 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/MKL-Scalapack-uses-much-more-RAM-than-NETLIB-version/m-p/1141713#M26344</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2019-11-20T06:06:11Z</dc:date>
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