<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Thank you for the reply, for in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985823#M17733</link>
    <description>&lt;P&gt;Thank you for the reply&lt;/P&gt;</description>
    <pubDate>Wed, 02 Oct 2013 06:30:00 GMT</pubDate>
    <dc:creator>MooN_K_</dc:creator>
    <dc:date>2013-10-02T06:30:00Z</dc:date>
    <item>
      <title>FFT Speed up Generation</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985821#M17731</link>
      <description>&lt;P&gt;Hey there&lt;/P&gt;
&lt;P&gt;I d like to use the MKL library to generate the 1D FFT(complex to complex), with the size of 256.&lt;/P&gt;
&lt;P&gt;To speed up the process i want to split the 256 FFT vector to 4 sub-vectors of 64 and run each on 1 thread (i have 4 threads on my processor).&lt;/P&gt;
&lt;P&gt;How with the help of OMP library i can get all the sub-vectors executed simultaneously in the parallel mode? Any help or programming details will be apperciated.&lt;/P&gt;
&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Wed, 28 Aug 2013 21:19:30 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985821#M17731</guid>
      <dc:creator>MooN_K_</dc:creator>
      <dc:date>2013-08-28T21:19:30Z</dc:date>
    </item>
    <item>
      <title>Please take a look at a</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985822#M17732</link>
      <description>Please take a look at a thread &lt;A href="http://software.intel.com/en-us/forums/topic/402439" target="_blank"&gt;http://software.intel.com/en-us/forums/topic/402439&lt;/A&gt; for more technical details on how to use MKL's &lt;STRONG&gt;DFTI&lt;/STRONG&gt; functions. Then, a source data set of 256 elements is &lt;STRONG&gt;too&lt;/STRONG&gt; small and I think in the end an overhead of &lt;STRONG&gt;4-thread&lt;/STRONG&gt; processing won't give you any performance gains. However, it will be a great academic experience for you on how to do some processing in parallel.

Regarding &lt;STRONG&gt;OpenMP&lt;/STRONG&gt; programming take a look at &lt;A href="http://openmp.org/wp" target="_blank"&gt;http://openmp.org/wp&lt;/A&gt;. &lt;STRONG&gt;Resources&lt;/STRONG&gt; web-page has a link to &lt;STRONG&gt;Tutorials and Articles&lt;/STRONG&gt;.</description>
      <pubDate>Thu, 29 Aug 2013 00:17:57 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985822#M17732</guid>
      <dc:creator>SergeyKostrov</dc:creator>
      <dc:date>2013-08-29T00:17:57Z</dc:date>
    </item>
    <item>
      <title>Thank you for the reply, for</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985823#M17733</link>
      <description>&lt;P&gt;Thank you for the reply&lt;/P&gt;</description>
      <pubDate>Wed, 02 Oct 2013 06:30:00 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/FFT-Speed-up-Generation/m-p/985823#M17733</guid>
      <dc:creator>MooN_K_</dc:creator>
      <dc:date>2013-10-02T06:30:00Z</dc:date>
    </item>
  </channel>
</rss>

