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mld2p4-2:
docs/html/userhtml.html docs/mld2p4-2.1-guide.pdf docs/src/abstract.tex docs/src/background.tex docs/src/bibliography.tex docs/src/building.tex docs/src/distribution.tex docs/src/gettingstarted.tex docs/src/overview.tex docs/src/userguide.tex docs/src/userinterface.tex mlprec/impl/mld_ccprecset.F90 mlprec/impl/mld_cprecset.F90 mlprec/impl/mld_csp_renum.f90 mlprec/impl/mld_dcprecset.F90 mlprec/impl/mld_dprecset.F90 mlprec/impl/mld_dsp_renum.f90 mlprec/impl/mld_scprecset.F90 mlprec/impl/mld_sprecset.F90 mlprec/impl/mld_ssp_renum.f90 mlprec/impl/mld_z_onelev_impl.f90 mlprec/impl/mld_zcprecset.F90 mlprec/impl/mld_zprecset.F90 mlprec/impl/mld_zsp_renum.f90 mlprec/mld_base_prec_type.F90 Take out SUB_REN. Update docs.
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@@ -25,26 +25,26 @@ original version by: Nikos Drakos, CBLU, University of Leeds
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HREF="node2.html">Contents</A></B>
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@@ -56,13 +56,15 @@ Examples
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</H2>
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<P>
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The code reported in Figure <A HREF="#fig:ex_default">2</A> shows how to set and apply the default
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The code reported in Figure <A HREF="#fig:ex1">2</A> shows how to set and apply the default
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multi-level preconditioner available in the real double precision version
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of MLD2P4 (see Table <A HREF="#tab:precinit">1</A>). This preconditioner is chosen
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by simply specifying <code>'ML'</code> as second argument of <code>mld_precinit</code>
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(a call to <code>mld_precset</code> is not needed) and is applied with the BiCGSTAB
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solver provided by PSBLAS. As previously observed, the modules <code>psb_base_mod</code>,
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<code>mld_prec_mod</code> and <code>psb_krylov_mod</code> must be used by the example program.
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by simply specifying <code>'ML'</code> as second argument of <code>P%init</code>
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(a call to <code>P%set</code> is not needed) and is applied with the CG
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solver provided by PSBLAS (the matrix of the system to be solved is
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assumed to be positive definite). As previously observed, the modules
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<code>psb_base_mod</code>, <code>mld_prec_mod</code> and <code>psb_krylov_mod</code>
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must be used by the example program.
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<P>
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The part of the code concerning the
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@@ -71,25 +73,26 @@ through the PSBLAS routines for sparse matrix and vector management, is not repo
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here for brevity; the statements concerning the deallocation of the PSBLAS
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data structure are neglected too.
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The complete code can be found in the example program file <code>mld_dexample_ml.f90</code>,
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in the directory <code>examples/fileread</code> of the MLD2P4 tree (see
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Section <A HREF="node10.html#sec:ex_and_test">3.5</A>).
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in the directory <code>examples/fileread</code> of the MLD2P4 implementation (see
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Section <A HREF="node10.html#sec:ex_and_test">3.5</A>). A sample test problem along with the relevant
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input data is available in <code>examples/fileread/runs</code>.
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For details on the use of the PSBLAS routines, see the PSBLAS User's
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Guide [<A
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HREF="node27.html#PSBLASGUIDE">16</A>].
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Guide [<A
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HREF="node28.html#PSBLASGUIDE">16</A>].
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<P>
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The setup and application of the default multi-level
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preconditioners for the real single precision and the complex, single and double
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The setup and application of the default multi-level preconditioner
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for the real single precision and the complex, single and double
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precision, versions are obtained with straightforward modifications of the previous
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example (see Section <A HREF="node16.html#sec:userinterface">6</A> for details). If these versions are installed,
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the corresponding Fortran 95 codes are available in <code>examples/fileread/</code>.
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the corresponding codes are available in <code>examples/fileread/</code>.
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<P>
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<DIV ALIGN="CENTER"><A NAME="fig:ex_default"></A><A NAME="952"></A>
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<DIV ALIGN="CENTER"><A NAME="fig:ex1"></A><A NAME="965"></A>
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<TABLE>
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<CAPTION ALIGN="BOTTOM"><STRONG>Figure 2:</STRONG>
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Setup and application of the default multi-level Schwarz preconditioner.
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setup and application of the default multi-level preconditioner (example 1).
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</CAPTION>
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<TR><TD>
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<DIV ALIGN="CENTER">
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@@ -116,31 +119,30 @@ Setup and application of the default multi-level Schwarz preconditioner.
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call psb_info(ictxt,iam,np)
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... ...
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!
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! read and assemble the matrix A and the right-hand side b
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! using PSBLAS routines for sparse matrix / vector management
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! read and assemble the spd matrix A and the right-hand side b
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! using PSBLAS routines for sparse matrix / vector management
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... ...
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!
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! initialize the default multi-level preconditioner, i.e. hybrid
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! Schwarz, using RAS (with overlap 1 and ILU(0) on the blocks)
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! as pre- and post-smoother and 4 block-Jacobi sweeps
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! (with UMFPACK LU on the blocks) as distributed coarse-level
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! solver.
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call mld_precinit(P,'ML',info)
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! initialize the default multi-level preconditioner, i.e. V-cycle
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! with basic smoothed aggregation, 1 hybrid forward/backward
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! GS sweep as pre/post-smoother and UMFPACK as coarsest-level
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! solver
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call P%init(P,'ML',info)
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!
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! build the preconditioner
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call mld_hierarchy_bld(A,desc_A,P,info)
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call mld_smoothers_bld(A,desc_A,P,info)
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call P%hierarchy_bld(A,desc_A,P,info)
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call P%smoothers_bld(A,desc_A,P,info)
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!
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! set the solver parameters and the initial guess
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... ...
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!
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! solve Ax=b with preconditioned BiCGSTAB
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call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info)
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! solve Ax=b with preconditioned CG
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call psb_krylov('CG',A,P,b,x,tol,desc_A,info)
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... ...
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!
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! deallocate the preconditioner
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call mld_precfree(P,info)
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call P%free(P,info)
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!
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! deallocate other data structures
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... ...
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@@ -158,44 +160,36 @@ Setup and application of the default multi-level Schwarz preconditioner.
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</DIV>
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<P>
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Different versions of multi-level preconditioners can be obtained by changing
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Different versions of the multi-level preconditioner can be obtained by changing
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the default values of the preconditioner parameters. The code reported in
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Figure <A HREF="#fig:ex_3lh">3</A> shows how to set a three-level hybrid Schwarz
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preconditioner, which uses block Jacobi with ILU(0) on the
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local blocks as post-smoother, has a coarsest matrix replicated on the processors,
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and solves the coarsest-level system with the LU factorization from UMFPACK [<A
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HREF="node27.html#UMFPACK">9</A>].
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Figure <A HREF="#fig:ex_3lhm">4</A> shows how to set a three-level preconditioner
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similar to the one of <A HREF="#fig:ex_3lh">3</A>, but the coarsest-level
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systems is solved with the multifrontal factorization from
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MUMPS [<A
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HREF="node27.html#UMFPACK">9</A>].
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Note that MUMPS can be used on both replicated and distributed
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coarsest level matrices, as a global and local solver respectively.
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The number of levels is specified by using <code>mld_precinit</code>; the other
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preconditioner parameters are set by calling <code>mld_precset</code>. Note that
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the type of multilevel framework (i.e. multiplicative among the levels
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with post-smoothing only) is not specified since it is the default
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set by <code>mld_precinit</code>.
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Figure <A HREF="#fig:ex2">3</A> shows how to set a V-cycle preconditioner
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which applies 1 block-Jacobi sweep as pre- and post-smoother,
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and solves the coarsest-level system with 8 block-Jacobi sweeps.
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Note that the ILU(0) factorization (plus triangular solve) is used as
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local solver for the block-Jacobi sweeps, since this is the default associated
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with block-Jacobi and set by <code>P%init</code>.
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Furthermore, specifying block-Jacobi as coarsest-level
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solver implies that the coarsest-level matrix is distributed
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among the processes.
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Figure <A HREF="#fig:ex3">4</A> shows how to set a W-cycle preconditioner which
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applies no pre-smoother and 2 Gauss-Seidel sweeps as post-smoother,
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and solves the coarsest-level system with the multifrontal LU factorization
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implemented in MUMPS. It is specified that the coarsest-level
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matrix is distributed, since MUMPS can be used on both
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replicated and distributed matrices, and by default
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it is used on replicated ones. Note the use of the parameter <code>pos</code>
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to specify a property only for the pre-smoother or the post-smoother
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(see Section <A HREF="node18.html#sec:precset">6.2</A> for more details).
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Note also that a Krylov method different from CG must be used to solve
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the preconditioned system, since the preconditione in nonsymmetric.
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The code fragments shown in Figures <A HREF="#fig:ex2">3</A> and <A HREF="#fig:ex3">4</A> are
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included in the example program file <code>mld_dexample_ml.f90</code> too.
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<P>
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Figure <A HREF="#fig:ex_3la">5</A> shows how to
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set a three-level additive Schwarz preconditioner,
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which uses RAS, with overlap 1 and ILU(0) on the blocks,
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as pre- and post-smoother, and applies five block-Jacobi sweeps, with
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the UMFPACK LU factorization on the blocks, as distributed coarsest-level
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solver. Again, <code>mld_precset</code> is used only to set
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non-default values of the parameters (see Tables <A HREF="#tab:p_type">2</A>-<A HREF="#tab:p_coarse">6</A>).
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In both cases, the construction and the application of the preconditioner
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are carried out as for the default multi-level preconditioner.
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The code fragments shown in in
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Figures <A HREF="#fig:ex_3lh">3</A> <A HREF="#fig:ex_3lhm">4</A>-<A HREF="#fig:ex_3la">5</A> are
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included in the example program file <code>mld_dexample_ml.f90</code> too.
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<P>
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Finally, Figure <A HREF="#fig:ex_1l">6</A> shows the setup of a one-level
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additive Schwarz preconditioner, i.e. RAS with overlap 2. The
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corresponding example program is available in <code>mld_dexample_1lev.f90</code>.
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Finally, Figure <A HREF="#fig:ex4">5</A> shows the setup of a one-level
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additive Schwarz preconditioner, i.e., RAS with overlap 2. The
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corresponding example program is available in the file
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<code>mld_dexample_1lev.f90</code>.
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<P>
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For all the previous preconditioners, example programs where the sparse matrix and
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@@ -204,28 +198,25 @@ boundary conditions are also available in the directory <code>examples/pdegen</c
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<P>
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<DIV ALIGN="CENTER"><A NAME="fig:ex_3lh"></A><A NAME="954"></A>
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<DIV ALIGN="CENTER"><A NAME="fig:ex2"></A><A NAME="967"></A>
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<TABLE>
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<CAPTION ALIGN="BOTTOM"><STRONG>Figure 3:</STRONG>
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Setup of a hybrid three-level Schwarz preconditioner.</CAPTION>
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setup of a multi-level preconditioner</CAPTION>
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<TR><TD>
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<DIV ALIGN="CENTER">
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</DIV><TABLE WIDTH="90%">
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<TR><TD>
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<PRE>
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... ...
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! set a three-level hybrid Schwarz preconditioner, which uses
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! block Jacobi (with ILU(0) on the blocks) as post-smoother,
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! a coarsest matrix replicated on the processors, and the
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! LU factorization from UMFPACK as coarse-level solver
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call mld_precinit(P,'ML',info)
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call_mld_precset(P,'SMOOTHER_TYPE','BJAC',info)
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call_mld_precset(P,'SMOOTHER_POS,'POST'w,info)
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call mld_precset(P,'COARSE_MAT','REPL',info)
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call mld_precset(P,'COARSE_SOLVE','UMF',info)
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call mld_hierarchy_bld(A,desc_A,P,info)
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call mld_smoothers_bld(A,desc_A,P,info)
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! build a V-cycle preconditioner with 1 block-Jacobi sweep (with
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! ILU(0) on the blocks) as pre- and post-smoother, and 8 block-Jacobi
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! sweeps (with ILU(0) on the blocks) as coarsest-level solver
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call P%init(P,'ML',info)
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call_P%set(P,'SMOOTHER_TYPE','BJAC',info)
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call P%set(P,'COARSE_SOLVE','BJAC',info)
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call P%set(P,'COARSE_SWEEPS',8,info)
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call P%hierarchy_bld(A,desc_A,P,info)
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call P%smoothers_bld(A,desc_A,P,info)
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... ...
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</PRE>
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</TD></TR>
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@@ -240,79 +231,46 @@ Setup of a hybrid three-level Schwarz preconditioner.</CAPTION>
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<P>
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<DIV ALIGN="CENTER"><A NAME="fig:ex_3lhm"></A><A NAME="956"></A>
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<DIV ALIGN="CENTER"><A NAME="fig:ex3"></A><A NAME="969"></A>
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<TABLE>
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<CAPTION ALIGN="BOTTOM"><STRONG>Figure 4:</STRONG>
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Setup of a hybrid three-level Schwarz preconditioner.</CAPTION>
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setup of a multi-level preconditioner</CAPTION>
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<TR><TD>
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<DIV ALIGN="CENTER">
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</DIV><TABLE WIDTH="90%">
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<TR><TD>
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<PRE>
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... ...
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! set a three-level hybrid Schwarz preconditioner, which uses
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! block Jacobi (with ILU(0) on the blocks) as post-smoother,
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! a coarsest matrix replicated on the processors, and the
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! multifrontal solver in MUMPS as coarse-level solver
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call mld_precinit(P,'ML',info,nlev=3)
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call mld_precset(P,mld_smoother_type_,'BJAC',info)
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call mld_precset(P,mld_coarse_mat_,'REPL',info)
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call mld_precset(P,mld_coarse_solve_,'MUMPS',info)
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call mld_hierarchy_bld(A,desc_A,P,info)
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call mld_smoothers_bld(A,desc_A,P,info)
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! build a W-cycle preconditioner with 2 Gauss-Seidel sweeps as
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! post-smoother (and no pre-smoother), a distributed coarsest
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! matrix, and MUMPS as coarsest-level solver
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call P%init(P,'ML',info)
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call P%set('ML_TYPE','WCYCLE',info)
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call P%set('SMOOTHER_TYPE','GS',info)
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call P%set('SMOOTHER_SWEEPS',0,info,pos='PRE')
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call P%set('SMOOTHER_SWEEPS',2,info,pos='POST')
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call P%set('COARSE_SOLVE','MUMPS',info)
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call P%set('COARSE_MAT','DIST',info)
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call P%hierarchy_bld(A,desc_A,P,info)
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call P%smoothers_bld(A,desc_A,P,info)
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... ...
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! solve Ax=b with preconditioned CG
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call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info)
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</PRE>
|
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</TD></TR>
|
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</TABLE>
|
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<DIV ALIGN="CENTER">
|
||||
</DIV>
|
||||
<P>
|
||||
<DIV ALIGN="CENTER">
|
||||
|
||||
</DIV></TD></TR>
|
||||
</TABLE>
|
||||
</DIV>
|
||||
|
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<P>
|
||||
|
||||
<DIV ALIGN="CENTER"><A NAME="fig:ex_3la"></A><A NAME="958"></A>
|
||||
<DIV ALIGN="CENTER"><A NAME="fig:ex4"></A><A NAME="971"></A>
|
||||
<TABLE>
|
||||
<CAPTION ALIGN="BOTTOM"><STRONG>Figure 5:</STRONG>
|
||||
Setup of an additive three-level Schwarz preconditioner.</CAPTION>
|
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<TR><TD>
|
||||
<DIV ALIGN="CENTER">
|
||||
</DIV><TABLE WIDTH="90%">
|
||||
<TR><TD>
|
||||
<PRE>
|
||||
... ...
|
||||
! set a three-level additive Schwarz preconditioner, which uses
|
||||
! RAS (with overlap 1 and ILU(0) on the blocks) as pre- and
|
||||
! post-smoother, and 5 block-Jacobi sweeps (with UMFPACK LU
|
||||
! on the blocks) as distributed coarsest-level solver
|
||||
call mld_precinit(P,'ML',info,nlev=3)
|
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call mld_precset(P,'ML_TYPE','ADD',info)
|
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call_mld_precset(P,'SMOOTHER_POS','TWOSIDE',info)
|
||||
call mld_precset(P,'COARSE_SWEEPS',5,info)
|
||||
call mld_hierarchy_bld(A,desc_A,P,info)
|
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call mld_smoothers_bld(A,desc_A,P,info)
|
||||
... ...
|
||||
</PRE>
|
||||
</TD></TR>
|
||||
</TABLE>
|
||||
<DIV ALIGN="CENTER">
|
||||
</DIV>
|
||||
<P>
|
||||
<DIV ALIGN="CENTER">
|
||||
</DIV></TD></TR>
|
||||
</TABLE>
|
||||
</DIV>
|
||||
|
||||
<P>
|
||||
|
||||
<DIV ALIGN="CENTER"><A NAME="fig:ex_1l"></A><A NAME="960"></A>
|
||||
<TABLE>
|
||||
<CAPTION ALIGN="BOTTOM"><STRONG>Figure 6:</STRONG>
|
||||
Setup of a one-level Schwarz preconditioner.</CAPTION>
|
||||
setup of a one-level Schwarz preconditioner.</CAPTION>
|
||||
<TR><TD>
|
||||
<DIV ALIGN="CENTER">
|
||||
</DIV><TABLE WIDTH="90%">
|
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@@ -320,9 +278,9 @@ Setup of a one-level Schwarz preconditioner.</CAPTION>
|
||||
<PRE>
|
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... ...
|
||||
! set RAS with overlap 2 and ILU(0) on the local blocks
|
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call mld_precinit(P,'AS',info)
|
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call mld_precset(P,'SUB_OVR',2,info)
|
||||
call mld_precbld(A,desc_A,P,info)
|
||||
call P%init(P,'AS',info)
|
||||
call P%set(P,'SUB_OVR',2,info)
|
||||
call P%bld(A,desc_A,P,info)
|
||||
... ...
|
||||
</PRE>
|
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</TD></TR>
|
||||
@@ -336,26 +294,26 @@ Setup of a one-level Schwarz preconditioner.</CAPTION>
|
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