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    <title>topic [Python] Numpy performance improvement using the MKL in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906379#M11742</link>
    <description>&lt;P&gt;Didrik, thanks for the information. I have a couple of notes, make sense to explicitly add the size of the task you are benchamarking and to do the same things on the latest architectures like Nechalem...&lt;/P&gt;
&lt;P&gt;thanks a lot. Gennady&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;DIV&gt;&lt;SPAN style="font-family: arial, sans-serif; font-size: small;"&gt;&lt;SPAN style="font-size: 13px; white-space: pre-wrap;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/DIV&gt;</description>
    <pubDate>Thu, 28 Jan 2010 16:41:37 GMT</pubDate>
    <dc:creator>Gennady_F_Intel</dc:creator>
    <dc:date>2010-01-28T16:41:37Z</dc:date>
    <item>
      <title>[Python] Numpy performance improvement using the MKL</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906378#M11741</link>
      <description>&lt;P&gt;For those of you interested by using NumPy with the MKL, here is a rough benchmark :&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://dpinte.wordpress.com/2010/01/15/numpy-performance-improvement-with-the-mkl/"&gt;http://dpinte.wordpress.com/2010/01/15/numpy-performance-improvement-with-the-mkl/&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;I will continue improving the post with new tests and try to make it more robust.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Comments or feedback are welcome ;-)&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Didrik&lt;/P&gt;</description>
      <pubDate>Thu, 28 Jan 2010 09:29:01 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906378#M11741</guid>
      <dc:creator>dpinte</dc:creator>
      <dc:date>2010-01-28T09:29:01Z</dc:date>
    </item>
    <item>
      <title>[Python] Numpy performance improvement using the MKL</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906379#M11742</link>
      <description>&lt;P&gt;Didrik, thanks for the information. I have a couple of notes, make sense to explicitly add the size of the task you are benchamarking and to do the same things on the latest architectures like Nechalem...&lt;/P&gt;
&lt;P&gt;thanks a lot. Gennady&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;DIV&gt;&lt;SPAN style="font-family: arial, sans-serif; font-size: small;"&gt;&lt;SPAN style="font-size: 13px; white-space: pre-wrap;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/DIV&gt;</description>
      <pubDate>Thu, 28 Jan 2010 16:41:37 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906379#M11742</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2010-01-28T16:41:37Z</dc:date>
    </item>
    <item>
      <title>[Python] Numpy performance improvement using the MKL</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906380#M11743</link>
      <description>&lt;P&gt;I have updated the scripts. It is attached for testing. Please report your test results ;-)&lt;/P&gt;
&lt;P&gt;Regarding the Nechalem architecture, I have no access to those one at the moment.&lt;/P&gt;
&lt;P&gt;Didrik&lt;/P&gt;</description>
      <pubDate>Fri, 05 Feb 2010 09:22:37 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Python-Numpy-performance-improvement-using-the-MKL/m-p/906380#M11743</guid>
      <dc:creator>dpinte</dc:creator>
      <dc:date>2010-02-05T09:22:37Z</dc:date>
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