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    <title>topic multiplication of a diagonal matrix with a general matrix in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/multiplication-of-a-diagonal-matrix-with-a-general-matrix/m-p/788024#M1979</link>
    <description>Hi &lt;BR /&gt;&lt;BR /&gt;Which format you store the diagonal matrix? If take the diagonal matrix as sparse matrix. &lt;BR /&gt;'&lt;BR /&gt;Then you may do searchfrom mkl user manual, &lt;BR /&gt;&lt;A href="http://software.intel.com/sites/products/documentation/hpc/mkl/mklman/index.htm"&gt;http://software.intel.com/sites/products/documentation/hpc/mkl/mklman/index.htm&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;There are some routines to support sparsematrix* dense matrix&lt;BR /&gt;&lt;BR /&gt;like &lt;BR /&gt;&lt;H1 class="topictitle1"&gt;mkl_?csrmm&lt;/H1&gt;&lt;!--Computes matrix - matrix product of a sparse matrix stored in the CSR format.--&gt;&lt;DIV&gt;&lt;P&gt;Computes matrix - matrix product of a sparse matrix stored in the CSR format.&lt;/P&gt;&lt;/DIV&gt;&lt;H1 class="topictitle1"&gt;mkl_?diamm&lt;/H1&gt;&lt;!--Computes matrix-matrix product of a sparse matrix stored in the diagonal format with one-based indexing.--&gt;&lt;DIV&gt;&lt;P&gt;Computes matrix-matrix product of a sparse matrix stored in the diagonal formatwith one-based indexing.&lt;BR /&gt;You maysee if theyare ok. &lt;BR /&gt;&lt;BR /&gt;Regards,&lt;BR /&gt;Ying H.&lt;/P&gt;&lt;/DIV&gt;</description>
    <pubDate>Wed, 23 Nov 2011 08:05:14 GMT</pubDate>
    <dc:creator>Ying_H_Intel</dc:creator>
    <dc:date>2011-11-23T08:05:14Z</dc:date>
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      <title>multiplication of a diagonal matrix with a general matrix</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/multiplication-of-a-diagonal-matrix-with-a-general-matrix/m-p/788023#M1978</link>
      <description>Is there a routine in MKL which computes the multiplication of a diagonal matrix (where only diagonal elements are stored) with a general matrix?</description>
      <pubDate>Tue, 22 Nov 2011 15:47:49 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/multiplication-of-a-diagonal-matrix-with-a-general-matrix/m-p/788023#M1978</guid>
      <dc:creator>Customer__Intel4</dc:creator>
      <dc:date>2011-11-22T15:47:49Z</dc:date>
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      <title>multiplication of a diagonal matrix with a general matrix</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/multiplication-of-a-diagonal-matrix-with-a-general-matrix/m-p/788024#M1979</link>
      <description>Hi &lt;BR /&gt;&lt;BR /&gt;Which format you store the diagonal matrix? If take the diagonal matrix as sparse matrix. &lt;BR /&gt;'&lt;BR /&gt;Then you may do searchfrom mkl user manual, &lt;BR /&gt;&lt;A href="http://software.intel.com/sites/products/documentation/hpc/mkl/mklman/index.htm"&gt;http://software.intel.com/sites/products/documentation/hpc/mkl/mklman/index.htm&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;There are some routines to support sparsematrix* dense matrix&lt;BR /&gt;&lt;BR /&gt;like &lt;BR /&gt;&lt;H1 class="topictitle1"&gt;mkl_?csrmm&lt;/H1&gt;&lt;!--Computes matrix - matrix product of a sparse matrix stored in the CSR format.--&gt;&lt;DIV&gt;&lt;P&gt;Computes matrix - matrix product of a sparse matrix stored in the CSR format.&lt;/P&gt;&lt;/DIV&gt;&lt;H1 class="topictitle1"&gt;mkl_?diamm&lt;/H1&gt;&lt;!--Computes matrix-matrix product of a sparse matrix stored in the diagonal format with one-based indexing.--&gt;&lt;DIV&gt;&lt;P&gt;Computes matrix-matrix product of a sparse matrix stored in the diagonal formatwith one-based indexing.&lt;BR /&gt;You maysee if theyare ok. &lt;BR /&gt;&lt;BR /&gt;Regards,&lt;BR /&gt;Ying H.&lt;/P&gt;&lt;/DIV&gt;</description>
      <pubDate>Wed, 23 Nov 2011 08:05:14 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/multiplication-of-a-diagonal-matrix-with-a-general-matrix/m-p/788024#M1979</guid>
      <dc:creator>Ying_H_Intel</dc:creator>
      <dc:date>2011-11-23T08:05:14Z</dc:date>
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