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    <title>topic Sparse matrix vector product performance in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-vector-product-performance/m-p/913221#M12325</link>
    <description>Hello,&lt;BR /&gt;&lt;BR /&gt;mkl sparse matrix dense vector product is about 30% slower than my own routine.&lt;BR /&gt;Tested with a symmetric matrix from fem unstructured mesh, on amd64 and xeon platforms and mkl version 8.1, 9.1 and 10.&lt;BR /&gt;&lt;BR /&gt;I am puzzled by these results, has anybody benchmarked those mkl routines ?&lt;BR /&gt;&lt;BR /&gt;Regards,&lt;BR /&gt;Boolegue.&lt;BR /&gt;</description>
    <pubDate>Wed, 12 Mar 2008 17:00:15 GMT</pubDate>
    <dc:creator>boolegue</dc:creator>
    <dc:date>2008-03-12T17:00:15Z</dc:date>
    <item>
      <title>Sparse matrix vector product performance</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-vector-product-performance/m-p/913221#M12325</link>
      <description>Hello,&lt;BR /&gt;&lt;BR /&gt;mkl sparse matrix dense vector product is about 30% slower than my own routine.&lt;BR /&gt;Tested with a symmetric matrix from fem unstructured mesh, on amd64 and xeon platforms and mkl version 8.1, 9.1 and 10.&lt;BR /&gt;&lt;BR /&gt;I am puzzled by these results, has anybody benchmarked those mkl routines ?&lt;BR /&gt;&lt;BR /&gt;Regards,&lt;BR /&gt;Boolegue.&lt;BR /&gt;</description>
      <pubDate>Wed, 12 Mar 2008 17:00:15 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-vector-product-performance/m-p/913221#M12325</guid>
      <dc:creator>boolegue</dc:creator>
      <dc:date>2008-03-12T17:00:15Z</dc:date>
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