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Salvatore Filippone
2017-04-21 13:29:28 +00:00
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@@ -26,26 +26,26 @@ original version by: Nikos Drakos, CBLU, University of Leeds
<BODY >
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@@ -55,24 +55,22 @@ original version by: Nikos Drakos, CBLU, University of Leeds
Abstract</A>
</H1>
MLD2P4 (M<SMALL>ULTI-</SMALL>L<SMALL>EVEL </SMALL>D<SMALL>OMAIN </SMALL>D<SMALL>ECOMPOSITION </SMALL>P<SMALL>ARALLEL </SMALL>P<SMALL>RECONDITIONERS </SMALL>P<SMALL>ACKAGE BASED ON
</SMALL>PSBLAS) is a package of parallel algebraic multi-level preconditioners.
The first release made available various versions of
one-level additive and multi-level additive
and hybrid Schwarz preconditioners.
The package has been extended to include further multi-level cycles and smoothers widely used in
multigrid methods.
In the multi-level case, a purely algebraic approach
is applied to generate coarse-level corrections, so that no geometric background is needed
concerning the matrix to be preconditioned. The matrix is assumed to be square, real
or complex.
MLD2P4 (M<SMALL>ULTI-</SMALL>L<SMALL>EVEL </SMALL>D<SMALL>OMAIN </SMALL>D<SMALL>ECOMPOSITION </SMALL>P<SMALL>ARALLEL </SMALL>P<SMALL>RECONDITIONERS </SMALL>P<SMALL>ACKAGE
BASED ON </SMALL>PSBLAS) is a package of parallel algebraic multi-level preconditioners.
The first release of MLD2P4 made available multi-level additive and hybrid Schwarz
preconditioners, as well as one-level additive Schwarz preconditioners. The package
has been extended to include further multi-level cycles and smoothers widely used in
multigrid methods. In the multi-level case, a purely algebraic approach is applied to
generate coarse-level corrections, so that no geometric background is needed
concerning the matrix to be preconditioned. The matrix is assumed to be square,
real or complex.
<P>
MLD2P4 has been designed to provide scalable and easy-to-use preconditioners in the
context of the PSBLAS (Parallel Sparse Basic Linear Algebra Subprograms)
MLD2P4 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. MLD2P4 enables the user to easily specify different features
of an algebraic multi-level preconditioner, thus allowing to search
available in this framework. MLD2P4 enables the user to easily specify different
features of an algebraic multi-level preconditioner, thus allowing to search
for the ``best'' preconditioner for the problem at hand.
<P>
@@ -92,26 +90,26 @@ the user interface of MLD2P4.
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