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amg4psblas/docs/src/abstract.tex

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\section*{Abstract}
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\addcontentsline{toc}{section}{Abstract}
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\textsc{AMG4PSBLAS (Algebraic MultiGrid Preconditioners Package
based on PSBLAS}) is a package of parallel algebraic multilevel
preconditioners included in the PSCToolkit (Parallel Sparse
Computation Toolkit) software framework.
It is an evolutiuon of a software development project started in 2007,
named MLD2P4, which originally implemented a
multilevel version of some domain decomposition preconditioners of
additive-Schwarz type, and was based on a parallel decoupled version
of the well known smoothed
aggregation method to generate the multilevel hierarchy of coarser matrices.
In the last few years the package was extended for
including new algorithms and
functionalities for the setup and application new AMG preconditioners
with the final aims of improving efficiency and scalability when tens
of thousands cores are used, and of boosting reliability in dealing
with general symmetric positive definite linear systems; these
developments have been supported in the context of the EU-H2020 EoCoE
project (Energy Oriented Center of Excellence).
Due to the significant number of changes and the increase in scope, we
decided to rename the package as AMG4PSBLAS.
AMG4PSBLAS has been designed to provide scalable and easy-to-use
preconditioners in the context of the PSBLAS (Parallel Sparse Basic
Linear Algebra Subprograms) computational framework and can be used in
conjuction with the Krylov solvers available in this framework.
Our package is based on a completely algebraic approach; therefore
users level interfaces assume that the system matrix and
preconditioners are represented as PSBLAS distributed sparse matrices.
AMG4PSBLAS enables the user to easily specify different
features of an algebraic multilevel preconditioner, thus allowing to
experiment with different preconditioners for the problem and parallel
computers at hand.
The package employs object-oriented design techniques in
Fortran~2003, with interfaces to additional third party libraries
such as MUMPS, UMFPACK, SuperLU, and SuperLU\_Dist, which
can be exploited in building multilevel preconditioners. The parallel
implementation is based on a Single Program Multiple Data (SPMD)
paradigm; the inter-process communication is based on MPI and
is managed mainly through PSBLAS.
This guide provides a brief description of the functionalities and
the user interface of AMG4PSBLAS.