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<h4 class="subsectionHead"><span class="titlemark"><span
class="cmr-12">3.2 </span></span> <a
id="x10-90003.2"></a><span
class="cmr-12">Optional third party libraries</span></h4>
<!--l. 66--><p class="noindent" ><span
class="cmr-12">We provide interfaces to the following third-party software libraries; note that these are</span>
<span
class="cmr-12">optional, but if you enable them some defaults for multilevel preconditioners may</span>
<span
class="cmr-12">change to reflect their presence.</span>
<!--l. 70--><p class="indent" >
<dl class="description"><dt class="description">
<span
class="cmbx-12">UMFPACK</span> </dt><dd
class="description"><span class="cite"><span
class="cmr-12">[</span><a
href="userhtmlli5.html#XUMFPACK"><span
class="cmr-12">13</span></a><span
class="cmr-12">]</span></span> <span
class="cmr-12">A sparse LU factorization package included in the SuiteSparse</span>
<span
class="cmr-12">library, available from </span><a
href="faculty.cse.tamu.edu/davis/suitesparse.html" class="url" ><span
class="cmtt-12">faculty.cse.tamu.edu/davis/suitesparse.html</span></a><span
class="cmr-12">;</span>
<span
class="cmr-12">it provides sequential factorization and triangular system solution for</span>
<span
class="cmr-12">double precision real and complex data. We tested version 4.5.4</span>
<span
class="cmr-12">of SuiteSparse. Note that for configuring SuiteSparse you should</span>
<span
class="cmr-12">provide the right path to the BLAS and LAPACK libraries in the</span>
<span class="obeylines-h"><span class="verb"><span
class="cmtt-12">SuiteSparse_config/SuiteSparse_config.mk</span></span></span> <span
class="cmr-12">file.</span>
</dd><dt class="description">
<span
class="cmbx-12">MUMPS</span> </dt><dd
class="description"><span class="cite"><span
class="cmr-12">[</span><a
href="userhtmlli5.html#XMUMPS"><span
class="cmr-12">1</span></a><span
class="cmr-12">]</span></span> <span
class="cmr-12">A sparse LU factorization package available from</span>
<a
href="mumps.enseeiht.fr" class="url" ><span
class="cmtt-12">mumps.enseeiht.fr</span></a><span
class="cmr-12">; it provides sequential and parallel factorizations and</span>
<span
class="cmr-12">triangular system solution for single and double precision, real and complex</span>
<span
class="cmr-12">data. We tested versions 4.10.0 and 5.0.1.</span>
</dd><dt class="description">
<span
class="cmbx-12">SuperLU</span> </dt><dd
class="description"><span class="cite"><span
class="cmr-12">[</span><a
href="userhtmlli5.html#XSUPERLU"><span
class="cmr-12">14</span></a><span
class="cmr-12">]</span></span> <span
class="cmr-12">A sparse LU factorization package available from</span>
<a
href="crd.lbl.gov/~xiaoye/SuperLU/" class="url" ><span
class="cmtt-12">crd.lbl.gov/</span><span
class="cmtt-12">~</span><span
class="cmtt-12">xiaoye/SuperLU/</span></a><span
class="cmr-12">; it provides sequential factorization and</span>
<span
class="cmr-12">triangular system solution for single and double precision, real and complex</span>
<span
class="cmr-12">data. We tested versions 4.3 and 5.0. If you installed BLAS from ATLAS,</span>
<span
class="cmr-12">remember to define the BLASLIB variable in the make.inc file.</span>
</dd><dt class="description">
<span
class="cmbx-12">SuperLU</span><span
class="cmbx-12">_Dist</span> </dt><dd
class="description"><span class="cite"><span
class="cmr-12">[</span><a
href="userhtmlli5.html#XSUPERLUDIST"><span
class="cmr-12">23</span></a><span
class="cmr-12">]</span></span> <span
class="cmr-12">A sparse LU factorization package available from the same</span>
<span
class="cmr-12">site as SuperLU; it provides parallel factorization and triangular system</span>
<span
class="cmr-12">solution for double precision real and complex data. We tested versions</span>
<span
class="cmr-12">3.3 and 4.2. If you installed BLAS from ATLAS, remember to define the</span>
<span
class="cmr-12">BLASLIB variable in the make.inc file and to add the </span><span class="obeylines-h"><span class="verb"><span
class="cmtt-12">-std=c99</span></span></span> <span
class="cmr-12">option to</span>
<span
class="cmr-12">the C compiler options. Note that this library requires the ParMETIS library</span>
<span
class="cmr-12">for parallel graph partitioning and fill-reducing matrix ordering, available</span>
<span
class="cmr-12">from </span><a
href="glaros.dtc.umn.edu/gkhome/metis/parmetis/overview" class="url" ><span
class="cmtt-12">glaros.dtc.umn.edu/gkhome/metis/parmetis/overview</span></a><span
class="cmr-12">.</span></dd></dl>
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