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    <title>topic Storing method for the coefficient matrix for the Preconditioned GMRES  in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Storing-method-for-the-coefficient-matrix-for-the-Preconditioned/m-p/1178126#M29139</link>
    <description>&lt;P&gt;Hi All;&lt;/P&gt;

&lt;P&gt;Quick Question; How can i use GMRES for a preconditioned very large linear system without storing the entire coefficient matrix?. As i understand; GMRES asks for the RHS vector, the entire coefficient matrix and&amp;nbsp; the Preconditioner. But for the memory limitation and for the compuational cost i will not be able to assemble and store the entire coefficient matrix. Any thought is very appreciated!.&lt;/P&gt;</description>
    <pubDate>Thu, 30 Aug 2018 16:57:17 GMT</pubDate>
    <dc:creator>elmeliegy__abdelrahm</dc:creator>
    <dc:date>2018-08-30T16:57:17Z</dc:date>
    <item>
      <title>Storing method for the coefficient matrix for the Preconditioned GMRES</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Storing-method-for-the-coefficient-matrix-for-the-Preconditioned/m-p/1178126#M29139</link>
      <description>&lt;P&gt;Hi All;&lt;/P&gt;

&lt;P&gt;Quick Question; How can i use GMRES for a preconditioned very large linear system without storing the entire coefficient matrix?. As i understand; GMRES asks for the RHS vector, the entire coefficient matrix and&amp;nbsp; the Preconditioner. But for the memory limitation and for the compuational cost i will not be able to assemble and store the entire coefficient matrix. Any thought is very appreciated!.&lt;/P&gt;</description>
      <pubDate>Thu, 30 Aug 2018 16:57:17 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Storing-method-for-the-coefficient-matrix-for-the-Preconditioned/m-p/1178126#M29139</guid>
      <dc:creator>elmeliegy__abdelrahm</dc:creator>
      <dc:date>2018-08-30T16:57:17Z</dc:date>
    </item>
    <item>
      <title>Hi </title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Storing-method-for-the-coefficient-matrix-for-the-Preconditioned/m-p/1178127#M29140</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;BR /&gt;
	&lt;BR /&gt;
	​it seems the MKL GEMRES only support put entire matrix into computing. what is the size for the&amp;nbsp;&lt;SPAN style="display: inline !important; float: none; background-color: transparent; color: rgb(83, 87, 94); font-family: &amp;quot;Arial&amp;quot;,&amp;quot;宋体&amp;quot;,&amp;quot;Tahoma&amp;quot;,&amp;quot;Helvetica&amp;quot;,sans-serif; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px; word-wrap: break-word;"&gt;entire coefficient matrix and your memory? MKL have one parallel sparse solver at&amp;nbsp; &lt;/SPAN&gt;&lt;A href="https://software.intel.com/en-us/articles/intel-math-kernel-library-parallel-direct-sparse-solver-for-clusters" target="_blank"&gt;https://software.intel.com/en-us/articles/intel-math-kernel-library-parallel-direct-sparse-solver-for-clusters&lt;/A&gt;&lt;SPAN style="display: inline !important; float: none; background-color: transparent; color: rgb(83, 87, 94); font-family: &amp;quot;Arial&amp;quot;,&amp;quot;宋体&amp;quot;,&amp;quot;Tahoma&amp;quot;,&amp;quot;Helvetica&amp;quot;,sans-serif; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px; word-wrap: break-word;"&gt; , which may have distribute requirement about the memory.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;

&lt;P&gt;&lt;SPAN style="display: inline !important; float: none; background-color: transparent; color: rgb(83, 87, 94); font-family: &amp;quot;Arial&amp;quot;,&amp;quot;宋体&amp;quot;,&amp;quot;Tahoma&amp;quot;,&amp;quot;Helvetica&amp;quot;,sans-serif; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px; word-wrap: break-word;"&gt;​Best Regards,&lt;/SPAN&gt;&lt;/P&gt;

&lt;P&gt;&lt;SPAN style="display: inline !important; float: none; background-color: transparent; color: rgb(83, 87, 94); font-family: &amp;quot;Arial&amp;quot;,&amp;quot;宋体&amp;quot;,&amp;quot;Tahoma&amp;quot;,&amp;quot;Helvetica&amp;quot;,sans-serif; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px; word-wrap: break-word;"&gt;​Ying&lt;/SPAN&gt;&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 31 Aug 2018 06:31:48 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Storing-method-for-the-coefficient-matrix-for-the-Preconditioned/m-p/1178127#M29140</guid>
      <dc:creator>Ying_H_Intel</dc:creator>
      <dc:date>2018-08-31T06:31:48Z</dc:date>
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