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    <title>topic lapack ilp64? in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/lapack-ilp64/m-p/860405#M7447</link>
    <description>Hi,&lt;BR /&gt;I can only find a reference to em64t/libmkl_lapack.a&lt;BR /&gt;and nothing that would be ilp64. &lt;BR /&gt;I need to use routine dgesdd, for m=n=65536. However, the appropriate lwork value for this is approx &lt;BR /&gt;1.7e10, so too large to fit into a 32 bit integer.&lt;BR /&gt;&lt;BR /&gt;If there is no ilp64 version, does this mean lapack dgesdd can't be used for large matrices?&lt;BR /&gt;&lt;BR /&gt;Thanks...&lt;BR /&gt;</description>
    <pubDate>Wed, 09 Jul 2008 14:29:52 GMT</pubDate>
    <dc:creator>Basden__Alastair</dc:creator>
    <dc:date>2008-07-09T14:29:52Z</dc:date>
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      <title>lapack ilp64?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/lapack-ilp64/m-p/860405#M7447</link>
      <description>Hi,&lt;BR /&gt;I can only find a reference to em64t/libmkl_lapack.a&lt;BR /&gt;and nothing that would be ilp64. &lt;BR /&gt;I need to use routine dgesdd, for m=n=65536. However, the appropriate lwork value for this is approx &lt;BR /&gt;1.7e10, so too large to fit into a 32 bit integer.&lt;BR /&gt;&lt;BR /&gt;If there is no ilp64 version, does this mean lapack dgesdd can't be used for large matrices?&lt;BR /&gt;&lt;BR /&gt;Thanks...&lt;BR /&gt;</description>
      <pubDate>Wed, 09 Jul 2008 14:29:52 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/lapack-ilp64/m-p/860405#M7447</guid>
      <dc:creator>Basden__Alastair</dc:creator>
      <dc:date>2008-07-09T14:29:52Z</dc:date>
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    <item>
      <title>Re: lapack ilp64?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/lapack-ilp64/m-p/860406#M7448</link>
      <description>With MKL 10 or 11, rather than using the backwards compatibility script (which specified lp64, core, thread), you must specify the ilp64 library, core library, and your choice of thread or sequential. For MKL 9, there is a separate download for ilp64.</description>
      <pubDate>Wed, 09 Jul 2008 16:04:05 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/lapack-ilp64/m-p/860406#M7448</guid>
      <dc:creator>TimP</dc:creator>
      <dc:date>2008-07-09T16:04:05Z</dc:date>
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