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    <title>topic Re: High Speed low Precision computations? in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/High-Speed-low-Precision-computations/m-p/907010#M11797</link>
    <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="width: 100%; margin-top: 5px;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Not really an answer, but I usually find that when you'retrying to squeeze the last 5% of optimization out of something, the better solution is to change things at a higher level. Like maybe representing the problem with smaller matrices. I have plenty of code that I've spent days tweaking to speed it up, then eventually totally discarded it for enterely new solutions that are already fast without tweaks.&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;&lt;BR /&gt;&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;However, have to tried aligning the data bytes in the way MKL reccommends?&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;&lt;BR /&gt;&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;&lt;BR /&gt;&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/427595"&gt;nick__&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="background-color:#E5E5E5; padding:5px;border: 1px; border-style: inset;margin-left:2px;margin-right:2px;"&gt;&lt;EM&gt;I was wondering if there is a way to allow computations to be performed faster with lower precision. Some c++ compilers have an option for doing quick vs. precise computations on floating point values and I was wondering if MKL supported something like this. I am trying to get a dense matrix multiplication with single precision values to run as quickly as possible. I am using Intel MKL 9.1 within Matlab r2008a.&lt;BR /&gt;Thanks,&lt;BR /&gt;Nick&lt;BR /&gt;&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;BR /&gt;</description>
    <pubDate>Sat, 09 May 2009 23:59:00 GMT</pubDate>
    <dc:creator>crispybits</dc:creator>
    <dc:date>2009-05-09T23:59:00Z</dc:date>
    <item>
      <title>High Speed low Precision computations?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/High-Speed-low-Precision-computations/m-p/907009#M11796</link>
      <description>I was wondering if there is a way to allow computations to be performed faster with lower precision. Some c++ compilers have an option for doing quick vs. precise computations on floating point values and I was wondering if MKL supported something like this. I am trying to get a dense matrix multiplication with single precision values to run as quickly as possible. I am using Intel MKL 9.1 within Matlab r2008a.&lt;BR /&gt;Thanks,&lt;BR /&gt;Nick&lt;BR /&gt;</description>
      <pubDate>Sat, 09 May 2009 20:48:47 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/High-Speed-low-Precision-computations/m-p/907009#M11796</guid>
      <dc:creator>nick__</dc:creator>
      <dc:date>2009-05-09T20:48:47Z</dc:date>
    </item>
    <item>
      <title>Re: High Speed low Precision computations?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/High-Speed-low-Precision-computations/m-p/907010#M11797</link>
      <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="width: 100%; margin-top: 5px;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Not really an answer, but I usually find that when you'retrying to squeeze the last 5% of optimization out of something, the better solution is to change things at a higher level. Like maybe representing the problem with smaller matrices. I have plenty of code that I've spent days tweaking to speed it up, then eventually totally discarded it for enterely new solutions that are already fast without tweaks.&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;&lt;BR /&gt;&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;However, have to tried aligning the data bytes in the way MKL reccommends?&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;&lt;BR /&gt;&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;&lt;BR /&gt;&lt;/DIV&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/427595"&gt;nick__&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="background-color:#E5E5E5; padding:5px;border: 1px; border-style: inset;margin-left:2px;margin-right:2px;"&gt;&lt;EM&gt;I was wondering if there is a way to allow computations to be performed faster with lower precision. Some c++ compilers have an option for doing quick vs. precise computations on floating point values and I was wondering if MKL supported something like this. I am trying to get a dense matrix multiplication with single precision values to run as quickly as possible. I am using Intel MKL 9.1 within Matlab r2008a.&lt;BR /&gt;Thanks,&lt;BR /&gt;Nick&lt;BR /&gt;&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;BR /&gt;</description>
      <pubDate>Sat, 09 May 2009 23:59:00 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/High-Speed-low-Precision-computations/m-p/907010#M11797</guid>
      <dc:creator>crispybits</dc:creator>
      <dc:date>2009-05-09T23:59:00Z</dc:date>
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