Programs and libraries for graph, mesh and hypergraph partitioning
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.
- Sources inherited from project SUSE:SLE-15-SP3:GA
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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 (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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