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    <title>topic Hi  Qing, in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Why-does-MKL-accelerate-the-matrix-operation-and-FFT/m-p/1095912#M23556</link>
    <description>&lt;P&gt;Hi&amp;nbsp; Qing,&lt;/P&gt;

&lt;P&gt;MKL is designed for providing highly optimized math function for science, engineering, data processing.&amp;nbsp;&amp;nbsp;&amp;nbsp; Thus,&amp;nbsp;it provides BLAS/LAPACK (linear Algebra) . Intel MKL includes highly vectorized and threaded Linear Algebra, Fast Fourier Transforms (FFT), Neural Network, Vector Math and Statistics functions.&lt;/P&gt;

&lt;P&gt;You may find such information from MKL main page , MKL user guide, developer manual etc.&lt;/P&gt;

&lt;P&gt;&lt;A href="https://software.intel.com/en-us/intel-mkl/"&gt;https://software.intel.com/en-us/intel-mkl/&lt;/A&gt;&lt;/P&gt;

&lt;P&gt;and Benchmark include FFT&amp;nbsp;at&amp;nbsp; &lt;A href="https://software.intel.com/en-us/intel-mkl/"&gt;https://software.intel.com/en-us/intel-mkl/&lt;/A&gt;.&lt;/P&gt;

&lt;P&gt;As i understand, you may&amp;nbsp;start from MKLexample&amp;nbsp;under MKL install folder&amp;nbsp;, for example,&lt;/P&gt;

&lt;P&gt;unzip&amp;nbsp; examples_core_c package :&amp;nbsp;&amp;nbsp; \examples_core_c\dftc\source\basic_dp_complex_dft_1d.c&amp;nbsp;&lt;/P&gt;

&lt;P&gt;which do complex-to-complex in-place 1D&amp;nbsp; FFT using Intel(R) MKL DFTI.&lt;/P&gt;

&lt;P&gt;Best Regards,&lt;/P&gt;

&lt;P&gt;Ying&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 02 May 2017 02:46:19 GMT</pubDate>
    <dc:creator>Ying_H_Intel</dc:creator>
    <dc:date>2017-05-02T02:46:19Z</dc:date>
    <item>
      <title>Why does MKL accelerate the matrix operation and FFT</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Why-does-MKL-accelerate-the-matrix-operation-and-FFT/m-p/1095911#M23555</link>
      <description>&lt;P&gt;Can anyone tell me？&lt;/P&gt;

&lt;P&gt;Or tell me where to find the answer？&lt;/P&gt;</description>
      <pubDate>Sun, 30 Apr 2017 17:13:13 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Why-does-MKL-accelerate-the-matrix-operation-and-FFT/m-p/1095911#M23555</guid>
      <dc:creator>薛_清_</dc:creator>
      <dc:date>2017-04-30T17:13:13Z</dc:date>
    </item>
    <item>
      <title>Hi  Qing,</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Why-does-MKL-accelerate-the-matrix-operation-and-FFT/m-p/1095912#M23556</link>
      <description>&lt;P&gt;Hi&amp;nbsp; Qing,&lt;/P&gt;

&lt;P&gt;MKL is designed for providing highly optimized math function for science, engineering, data processing.&amp;nbsp;&amp;nbsp;&amp;nbsp; Thus,&amp;nbsp;it provides BLAS/LAPACK (linear Algebra) . Intel MKL includes highly vectorized and threaded Linear Algebra, Fast Fourier Transforms (FFT), Neural Network, Vector Math and Statistics functions.&lt;/P&gt;

&lt;P&gt;You may find such information from MKL main page , MKL user guide, developer manual etc.&lt;/P&gt;

&lt;P&gt;&lt;A href="https://software.intel.com/en-us/intel-mkl/"&gt;https://software.intel.com/en-us/intel-mkl/&lt;/A&gt;&lt;/P&gt;

&lt;P&gt;and Benchmark include FFT&amp;nbsp;at&amp;nbsp; &lt;A href="https://software.intel.com/en-us/intel-mkl/"&gt;https://software.intel.com/en-us/intel-mkl/&lt;/A&gt;.&lt;/P&gt;

&lt;P&gt;As i understand, you may&amp;nbsp;start from MKLexample&amp;nbsp;under MKL install folder&amp;nbsp;, for example,&lt;/P&gt;

&lt;P&gt;unzip&amp;nbsp; examples_core_c package :&amp;nbsp;&amp;nbsp; \examples_core_c\dftc\source\basic_dp_complex_dft_1d.c&amp;nbsp;&lt;/P&gt;

&lt;P&gt;which do complex-to-complex in-place 1D&amp;nbsp; FFT using Intel(R) MKL DFTI.&lt;/P&gt;

&lt;P&gt;Best Regards,&lt;/P&gt;

&lt;P&gt;Ying&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 02 May 2017 02:46:19 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Why-does-MKL-accelerate-the-matrix-operation-and-FFT/m-p/1095912#M23556</guid>
      <dc:creator>Ying_H_Intel</dc:creator>
      <dc:date>2017-05-02T02:46:19Z</dc:date>
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