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    <title>topic Intel(R) MKL 10.2 Performance data in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Intel-R-MKL-10-2-Performance-data/m-p/861047#M7516</link>
    <description>&lt;P&gt;I would like to discuss about some performance data of latest version of Intel Math Kernel Library (&lt;STRONG&gt;Intel MKL 10.2&lt;/STRONG&gt;) functions.&lt;/P&gt;
&lt;P&gt;There is a PDF file in the MKL web page (&lt;A href="http://software.intel.com/sites/products/collateral/hpc/mkl/charts.pdf"&gt;http://software.intel.com/sites/products/collateral/hpc/mkl/charts.pdf&lt;/A&gt;), which gives you performance data for the following domains/functions.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;BLAS (DGEMM) -&lt;/B&gt; The BLAS and LAPACK functionality included in Intel MKL is highly optimized for Intel processors and can significantly increase the performance of your application compared to alternative&lt;/P&gt;
&lt;P&gt;implementations.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;Fast Fourier Transforms (FFT) -&lt;/B&gt; The Fast Fourier Transform functionality of the Intel MKL offers outstanding performance and scalability across a wide range of problem sizes for both SMP and distributed memory (cluster) systems.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;ScaLAPACK -&lt;/B&gt; The Intel MKL implementation of ScaLAPACK is highly optimized for Intel processors and can significantly increase the performance of your application compared to other implementations of ScaLAPACK.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;Vector Math - &lt;/B&gt;The VML included with Intel MKL provides highly optimized vector implementations of computationally intensive core mathematical functions.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B class="sectionBodyText"&gt;All these performance numbers are measured on Quad-Core Intel Xeon Processor W5580 3,2Ghz, 8 MB L2 cache, 12 GB Memory.&lt;/B&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 08 Jul 2009 05:45:06 GMT</pubDate>
    <dc:creator>Naveen_G_Intel</dc:creator>
    <dc:date>2009-07-08T05:45:06Z</dc:date>
    <item>
      <title>Intel(R) MKL 10.2 Performance data</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Intel-R-MKL-10-2-Performance-data/m-p/861047#M7516</link>
      <description>&lt;P&gt;I would like to discuss about some performance data of latest version of Intel Math Kernel Library (&lt;STRONG&gt;Intel MKL 10.2&lt;/STRONG&gt;) functions.&lt;/P&gt;
&lt;P&gt;There is a PDF file in the MKL web page (&lt;A href="http://software.intel.com/sites/products/collateral/hpc/mkl/charts.pdf"&gt;http://software.intel.com/sites/products/collateral/hpc/mkl/charts.pdf&lt;/A&gt;), which gives you performance data for the following domains/functions.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;BLAS (DGEMM) -&lt;/B&gt; The BLAS and LAPACK functionality included in Intel MKL is highly optimized for Intel processors and can significantly increase the performance of your application compared to alternative&lt;/P&gt;
&lt;P&gt;implementations.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;Fast Fourier Transforms (FFT) -&lt;/B&gt; The Fast Fourier Transform functionality of the Intel MKL offers outstanding performance and scalability across a wide range of problem sizes for both SMP and distributed memory (cluster) systems.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;ScaLAPACK -&lt;/B&gt; The Intel MKL implementation of ScaLAPACK is highly optimized for Intel processors and can significantly increase the performance of your application compared to other implementations of ScaLAPACK.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B&gt;Vector Math - &lt;/B&gt;The VML included with Intel MKL provides highly optimized vector implementations of computationally intensive core mathematical functions.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;B class="sectionBodyText"&gt;All these performance numbers are measured on Quad-Core Intel Xeon Processor W5580 3,2Ghz, 8 MB L2 cache, 12 GB Memory.&lt;/B&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 08 Jul 2009 05:45:06 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Intel-R-MKL-10-2-Performance-data/m-p/861047#M7516</guid>
      <dc:creator>Naveen_G_Intel</dc:creator>
      <dc:date>2009-07-08T05:45:06Z</dc:date>
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