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    <title>topic Re: using MKL in place of CSparse library in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/using-MKL-in-place-of-CSparse-library/m-p/877049#M9061</link>
    <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="width: 100%; margin-top: 5px;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/424183"&gt;meinyahanhoongmail.com&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="background-color:#E5E5E5; padding:5px;border: 1px; border-style: inset;margin-left:2px;margin-right:2px;"&gt;&lt;EM&gt;Hi,&lt;BR /&gt; I've been working on a code where I want to implement MKL instead of CSparse library. Just for the reference, CSparse function routines can be seen on " &lt;A href="http://www.cise.ufl.edu/research/sparse/CSparse/" target="_blank"&gt;http://www.cise.ufl.edu/research/sparse/CSparse/&lt;/A&gt; ". I am finding trouble in handling the cs_multiply and cs_add functions. Also, the CSparse library has defines a structure " cs* " for storing and using sparse matrices, but for using MKL functions, one has to pass all the details manually every time. Please suggest some way to proceed ahead. &lt;BR /&gt; Also, which function of MKL can be used to multiply 2 sparse matrices? The function I found in MKL for solving C=A*B (A,B,C all are matrices) are for one sparse matrix and the rest are dense matrices.&lt;BR /&gt;&lt;BR /&gt;Please look through this and help me out.&lt;BR /&gt;&lt;BR /&gt;Thanks, &lt;BR /&gt;Regards..... :)&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;BR /&gt;I replied in the other (copy) of this thread.&lt;BR /&gt;&lt;BR /&gt;A.&lt;BR /&gt;</description>
    <pubDate>Fri, 19 Jun 2009 00:29:22 GMT</pubDate>
    <dc:creator>ArturGuzik</dc:creator>
    <dc:date>2009-06-19T00:29:22Z</dc:date>
    <item>
      <title>using MKL in place of CSparse library</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/using-MKL-in-place-of-CSparse-library/m-p/877048#M9060</link>
      <description>Hi,&lt;BR /&gt; I've been working on a code where I want to implement MKL instead of CSparse library. Just for the reference, CSparse function routines can be seen on " &lt;A href="http://www.cise.ufl.edu/research/sparse/CSparse/" target="_blank"&gt;http://www.cise.ufl.edu/research/sparse/CSparse/&lt;/A&gt; ". I am finding trouble in handling the cs_multiply and cs_add functions. Also, the CSparse library has defines a structure " cs* " for storing and using sparse matrices, but for using MKL functions, one has to pass all the details manually every time. Please suggest some way to proceed ahead. &lt;BR /&gt; Also, which function of MKL can be used to multiply 2 sparse matrices? The function I found in MKL for solving C=A*B (A,B,C all are matrices) are for one sparse matrix and the rest are dense matrices.&lt;BR /&gt;&lt;BR /&gt;Please look through this and help me out.&lt;BR /&gt;&lt;BR /&gt;Thanks, &lt;BR /&gt;Regards..... :)</description>
      <pubDate>Thu, 18 Jun 2009 17:59:31 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/using-MKL-in-place-of-CSparse-library/m-p/877048#M9060</guid>
      <dc:creator>meinyahanhoongmail_c</dc:creator>
      <dc:date>2009-06-18T17:59:31Z</dc:date>
    </item>
    <item>
      <title>Re: using MKL in place of CSparse library</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/using-MKL-in-place-of-CSparse-library/m-p/877049#M9061</link>
      <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="width: 100%; margin-top: 5px;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/424183"&gt;meinyahanhoongmail.com&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="background-color:#E5E5E5; padding:5px;border: 1px; border-style: inset;margin-left:2px;margin-right:2px;"&gt;&lt;EM&gt;Hi,&lt;BR /&gt; I've been working on a code where I want to implement MKL instead of CSparse library. Just for the reference, CSparse function routines can be seen on " &lt;A href="http://www.cise.ufl.edu/research/sparse/CSparse/" target="_blank"&gt;http://www.cise.ufl.edu/research/sparse/CSparse/&lt;/A&gt; ". I am finding trouble in handling the cs_multiply and cs_add functions. Also, the CSparse library has defines a structure " cs* " for storing and using sparse matrices, but for using MKL functions, one has to pass all the details manually every time. Please suggest some way to proceed ahead. &lt;BR /&gt; Also, which function of MKL can be used to multiply 2 sparse matrices? The function I found in MKL for solving C=A*B (A,B,C all are matrices) are for one sparse matrix and the rest are dense matrices.&lt;BR /&gt;&lt;BR /&gt;Please look through this and help me out.&lt;BR /&gt;&lt;BR /&gt;Thanks, &lt;BR /&gt;Regards..... :)&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;BR /&gt;I replied in the other (copy) of this thread.&lt;BR /&gt;&lt;BR /&gt;A.&lt;BR /&gt;</description>
      <pubDate>Fri, 19 Jun 2009 00:29:22 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/using-MKL-in-place-of-CSparse-library/m-p/877049#M9061</guid>
      <dc:creator>ArturGuzik</dc:creator>
      <dc:date>2009-06-19T00:29:22Z</dc:date>
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