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        <title>hpc documentation - software:scalapack</title>
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        <item>
            <title>farber</title>
            <link>http://docs.hpc.udel.edu/software/scalapack/farber</link>
            <description>ScaLAPACK farber page is Under construction</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 23 Oct 2017 20:46:36 +0000</pubDate>
        </item>
        <item>
            <title>linsolve</title>
            <link>http://docs.hpc.udel.edu/software/scalapack/linsolve</link>
            <description>Scalapack linsolve benchmark

Fortran 90 source code

We base this benchmark in the linsolve.f90 from the online tutorial Running on Mio Workshop presented January 25, 2011 at the Colorado School of Mines. see slides.

We get the program with


if [ ! -f &quot;linsolve.f90&quot; ]; then
  wget http://inside.mines.edu/mio/tutorial/libs/solvers/linsolve.f90
fi</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 27 Apr 2021 20:21:09 +0000</pubDate>
        </item>
        <item>
            <title>mills</title>
            <link>http://docs.hpc.udel.edu/software/scalapack/mills</link>
            <description>ScaLAPACK example1

Chapter two of the ScaLAPACK user guide has a section How to Run an Example Program Using MPI.  There are 7 steps to follow to download, compile and run an example program example1.f.  This page is meant to replace these 7 steps on Mills.  It is possible to eliminates several steps, since the needed libraries are already installed on Mills and managed by</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 27 Apr 2021 20:21:09 +0000</pubDate>
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        <item>
            <title>scalapack</title>
            <link>http://docs.hpc.udel.edu/software/scalapack/scalapack</link>
            <description>ScaLAPACK

ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. ScaLAPACK solves dense and banded linear systems, least squares problems, eigenvalue problems, and singular value problems. 

Details by cluster</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 24 Feb 2021 21:42:09 +0000</pubDate>
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            <pubDate>Mon, 06 Apr 2026 20:23:30 +0000</pubDate>
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