How to Install and Uninstall scotch Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: July 03,2024

1. Install "scotch" package

Please follow the step by step instructions below to install scotch on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                scotch
            
                    
    
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2. Uninstall "scotch" package

Please follow the instructions below to uninstall scotch on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                scotch
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the scotch package on Ubuntu 20.10 (Groovy Gorilla)

Package: scotch
Architecture: amd64
Version: 6.0.9-1
Priority: extra
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2117
Depends: libc6 (>= 2.7), libscotch-6.0 (>= 6.0.9)
Filename: pool/universe/s/scotch/scotch_6.0.9-1_amd64.deb
Size: 124188
MD5sum: 5d1cc3ca004ea2f6e86d6e9592dce5e8
SHA1: c65a2060231cf662a84e9d743dac37d44003a2f0
SHA256: ecbe553cc13362063f645d71e889bd49b7f97478434a50815275f71661ac9f1f
SHA512: 7b3fb71b1f7375c743b7c49eecdb19c664addc589b921407d6cfb295247c12ac945958e14fc478955184121c28f35416d7963ab34e14b0d160f9e36b030abc40
Homepage: http://www.labri.fr/perso/pelegrin/scotch/
Description-en: 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.
.
SCOTCH has many interesting features:
.
o Its capabilities can be used through a set of stand-alone programs
as well as through the libSCOTCH library, which offers both C and
Fortran interfaces.
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o It provides algorithms to partition graph structures, as well as
mesh structures defined as node-element bipartite graphs and which
can also represent hypergraphs.
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o It can map any weighted source graph onto any weighted target
graph. The source and target graphs may have any topology, and their
vertices and edges may be weighted. Moreover, both source and target
graphs may be disconnected. This feature allows for the mapping of
programs onto disconnected subparts of a parallel architecture made
up of heterogeneous processors and communication links.
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o It computes amalgamated block orderings of sparse matrices, for
efficient solving using BLAS routines.
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o Its running time is linear in the number of edges of the source
graph, and logarithmic in the number of vertices of the target graph
for mapping computations.
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o It can handle indifferently graph and mesh data structures created
within C or Fortran programs, with array indices starting from 0 or
1.
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o It offers extended support for adaptive graphs and meshes through
the handling of disjoint edge arrays.
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o It is dynamically parametrizable thanks to strategy strings that
are interpreted at run-time.
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o It uses system memory efficiently, to process large graphs and
meshes without incurring out-of-memory faults;
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o It is highly modular and documented. Since it has been released
under the CeCILL-C free/libre software license, it can be used as a
testbed for the easy and quick development and testing of new
partitioning and ordering methods.
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o It can be easily interfaced to other programs. The programs
comprising the SCOTCH project have been designed to run in
command-line mode without any interactive prompting, so that they can
be called easily from other programs by means of system() or popen()
calls, or piped together on a single command line. Moreover, vertex
labeling capabilities allow for easy renumbering of vertices.
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o It provides many tools to build, check, and display graphs, meshes
and matrix patterns.
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o It is written in C and uses the POSIX interface, which makes it
highly portable. PT-SCOTCH uses the MPI interface, and optionally the
POSIX threads.
Description-md5: d5dd99189155213730a9476b716aea87