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    <title>topic Re: Re:How to use sparse LDLT decomposition in MKL? in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1377291#M33033</link>
    <description>&lt;P&gt;Thank you, I found this function in DSS, and I found that PARDISO can also be decomposed. May I ask you, is the efficiency of DSS and PARDISO the same?&lt;/P&gt;</description>
    <pubDate>Fri, 15 Apr 2022 01:25:36 GMT</pubDate>
    <dc:creator>NEROKAI</dc:creator>
    <dc:date>2022-04-15T01:25:36Z</dc:date>
    <item>
      <title>How to use sparse LDLT decomposition in MKL?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1375419#M32986</link>
      <description>&lt;P&gt;Hi！&lt;/P&gt;
&lt;P&gt;I want to use LDLT to decompose a large sparse matrix of mine. I read the manual of MKL and found that there is Bunch-Kaufman decomposition in LAPCAK, which can achieve the same effect as LDLT decomposition, but LAPCK in MKL seems to only support the decomposition of dense matrices .&lt;BR /&gt;Is there any way in MKL to decompose a large sparse matrix using LDLT?&lt;BR /&gt;Thank you, your help is invaluable to me!&lt;/P&gt;</description>
      <pubDate>Fri, 08 Apr 2022 03:30:41 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1375419#M32986</guid>
      <dc:creator>NEROKAI</dc:creator>
      <dc:date>2022-04-08T03:30:41Z</dc:date>
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    <item>
      <title>Re:How to use sparse LDLT decomposition in MKL?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1376096#M33003</link>
      <description>&lt;P&gt;Hi Nero,&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Thanks for reaching out to us.&lt;/P&gt;&lt;P&gt;Could you please let us know if using &lt;I&gt;"Direct Sparse Solver (DSS) Interface Routines"&lt;/I&gt; matches your use case (&lt;A href="https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/sparse-solver-routines/direct-sparse-solver-dss-interface-routines/dss-routines/dss-factor-real-dss-factor-complex.html#dss-factor-real-dss-factor-complex" rel="noopener noreferrer" target="_blank" style="font-size: 14px; font-family: intel-clear, tahoma, Helvetica, helvetica, Arial, sans-serif;"&gt;dss_factor_real, dss_factor_complex&lt;/A&gt; - which also uses LDLT factorization)?&lt;/P&gt;&lt;P&gt;For more details please refer to the below link&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/sparse-solver-routines/direct-sparse-solver-dss-interface-routines.html" target="_blank"&gt;https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/sparse-solver-routines/direct-sparse-solver-dss-interface-routines.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Vidya.&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Mon, 11 Apr 2022 09:10:07 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1376096#M33003</guid>
      <dc:creator>VidyalathaB_Intel</dc:creator>
      <dc:date>2022-04-11T09:10:07Z</dc:date>
    </item>
    <item>
      <title>Re: Re:How to use sparse LDLT decomposition in MKL?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1377291#M33033</link>
      <description>&lt;P&gt;Thank you, I found this function in DSS, and I found that PARDISO can also be decomposed. May I ask you, is the efficiency of DSS and PARDISO the same?&lt;/P&gt;</description>
      <pubDate>Fri, 15 Apr 2022 01:25:36 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1377291#M33033</guid>
      <dc:creator>NEROKAI</dc:creator>
      <dc:date>2022-04-15T01:25:36Z</dc:date>
    </item>
    <item>
      <title>Re:How to use sparse LDLT decomposition in MKL?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1377453#M33036</link>
      <description>&lt;P&gt;Hi Nero,&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&amp;gt;&amp;gt;&lt;I&gt;I found this function in DSS, and I found that PARDISO can also be decomposed.is the efficiency of DSS and PARDISO the same?&lt;/I&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Speaking in terms of efficiency, the MKL manual says Pardiso is efficient.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;"&lt;I&gt;The Intel® oneAPI Math Kernel Library PARDISO package is a high-performance, robust, &lt;/I&gt;&lt;B&gt;&lt;I&gt;memory efficient&lt;/I&gt;&lt;/B&gt;&lt;I&gt;, and easy to use software package for solving large sparse linear systems of equations on shared-memory multiprocessors.&lt;/I&gt;&amp;nbsp;"&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Reference Link:&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-iface.html" target="_blank"&gt;https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-iface.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;I hope it answers your question.&lt;/P&gt;&lt;P&gt;Thanks for accepting the solution.&lt;/P&gt;&lt;P&gt;As the issue is resolved we are closing this thread. Please post a new question if you need any additional assistance from Intel as this thread will no longer be monitored.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Have a Nice Day!&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Vidya.&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Fri, 15 Apr 2022 16:54:56 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/How-to-use-sparse-LDLT-decomposition-in-MKL/m-p/1377453#M33036</guid>
      <dc:creator>VidyalathaB_Intel</dc:creator>
      <dc:date>2022-04-15T16:54:56Z</dc:date>
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