The Trilinos Project is an effort to develop algorithms and enabling
technologies within an object-oriented software framework for the
solution of large-scale, complex multi-physics engineering and
scientific problems. A unique design feature of Trilinos is its focus
on packages.
The package has two building methods, the default is for a single
system (without parallelism).
* The trilinos can also be compiled against individual packages
(i.e. amd, umfpack and metis) outside of suitesparse.SlackBuild.
** The suitesparse.SlackBuild, doesn't build metis by default.
For that you can use the parMETIS.SlackBuild.
For more details about dependeces the Xyce webpage.
have a list of required depences.
Optional dependences:
For enable parallelism set PARALLEL=yes. This requires the
ParMETIS library and a MPI implementation (openmpi or mpich).
To enable CUDA set CUDA=yes (Additional requirements: CUDA
SDK and CUSPARSE).
This requires: blas, lapack, suitesparse
Maintained by: Guilherme Calandrini
Keywords: linear,solver,eigensolvers
ChangeLog: trilinos
Homepage:
https://github.com/trilinos/Trilinos
Download SlackBuild:
trilinos.tar.gz
trilinos.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
slack-desc |
trilinos-12.4.2_lapack-3.6.0.patch |
trilinos.SlackBuild |
trilinos.info |
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