Programs and libraries for graph, mesh and hypergraph partitioning

Edit Package scotch

Programs and libraries for graph, mesh and hypergraph partitioning Its purpose is to apply graph theory, with a divide and conquer approach, to scientific computing problems such as graph and mesh partitioning, static mapping, and sparse matrix ordering, in application domains ranging from structural mechanics to operating systems or bio-chemistry.

The SCOTCH distribution is a set of programs and libraries which implement the static mapping and sparse matrix reordering algorithms developed within the SCOTCH project.

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Source Files
Filename Size Changed
_multibuild 0000000457 457 Bytes
scotch-Makefile.inc.in 0000000455 455 Bytes
scotch-v6.1.0.tar.gz 0006292006 6 MB
scotch.changes 0000008429 8.23 KB
scotch.spec 0000018924 18.5 KB
Latest Revision
Gustavo Yokoyama Ribeiro's avatar Gustavo Yokoyama Ribeiro (gyribeiro) committed (revision 2)
Bring all relevant HPC Packages to the latest Version available
(jsc#SLE-14839).

- Sync SLE and openSUSE builds (jsc#SLE-12162).

- Update to version 6.1.0. The change in release number reflects a change  
  in behavior of the software, regarding two features:
  * Algorithms for sparse matrix reordering now fully take into account vertex
    weights. While the previous versions only accounted for them in the nested
    dissection method to compute and  optimize separator size/weight, they are
    now also accounted for in the minimum  degree and minimum fill algorithms.
    Consequently,  vertex  amalgamation  can  be  tuned so  that  the  size of
    (column-)blocks is tailored according to the real amount of computation to
    be performed on supervariables.
    The esmumps  interface  with MUMPS  has been  updated  so as to  take into
    account this new feature. 
  * The routines of the vertex  graph partitioning (with overlap)  module have
   been redesigned, leading to much smaller  run time and, most often, higher
   quality
- Scotch development is moving to gitlab
- Add support for gcc10 and build support for openmpi4.
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