/* GAMG geometric-algebric multigrid PC - Mark Adams 2011 */ #include "petsc-private/matimpl.h" #include <../src/ksp/pc/impls/gamg/gamg.h> /*I "petscpc.h" I*/ #include #if defined PETSC_GAMG_USE_LOG PetscLogEvent petsc_gamg_setup_events[NUM_SET]; #endif #if defined PETSC_USE_LOG PetscLogEvent PC_GAMGGgraph_AGG; PetscLogEvent PC_GAMGGgraph_GEO; PetscLogEvent PC_GAMGCoarsen_AGG; PetscLogEvent PC_GAMGCoarsen_GEO; PetscLogEvent PC_GAMGProlongator_AGG; PetscLogEvent PC_GAMGProlongator_GEO; PetscLogEvent PC_GAMGOptprol_AGG; #endif #define GAMG_MAXLEVELS 30 /* #define GAMG_STAGES */ #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) static PetscLogStage gamg_stages[GAMG_MAXLEVELS]; #endif static PetscFList GAMGList = 0; /* ----------------------------------------------------------------------------- */ #undef __FUNCT__ #define __FUNCT__ "PCReset_GAMG" PetscErrorCode PCReset_GAMG(PC pc) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscFunctionBegin; if( pc_gamg->data != 0 ) { /* this should not happen, cleaned up in SetUp */ ierr = PetscFree(pc_gamg->data); CHKERRQ(ierr); } pc_gamg->data = 0; pc_gamg->data_sz = 0; PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* createLevel: create coarse op with RAP. repartition and/or reduce number of active processors. Input Parameter: . pc - parameters . Amat_fine - matrix on this fine (k) level . cbs - coarse block size . isLast - In/Output Parameter: . a_P_inout - prolongation operator to the next level (k-1) . a_nactive_proc - number of active procs Output Parameter: . a_Amat_crs - coarse matrix that is created (k-1) */ #undef __FUNCT__ #define __FUNCT__ "createLevel" static PetscErrorCode createLevel( const PC pc, const Mat Amat_fine, const PetscInt cbs, const PetscBool isLast, Mat *a_P_inout, PetscMPIInt *a_nactive_proc, Mat *a_Amat_crs ) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; const PetscBool repart = pc_gamg->repart; const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; PetscErrorCode ierr; Mat Cmat,Pnew,Pold=*a_P_inout; IS new_indices,isnum; MPI_Comm wcomm = ((PetscObject)Amat_fine)->comm; PetscMPIInt mype,npe,new_npe,nactive = *a_nactive_proc; PetscInt neq,NN,Istart,Iend,Istart0,Iend0,ncrs_new,ncrs0,rfactor; PetscFunctionBegin; ierr = MPI_Comm_rank( wcomm, &mype ); CHKERRQ(ierr); ierr = MPI_Comm_size( wcomm, &npe ); CHKERRQ(ierr); /* RAP */ #ifdef USE_R /* make R wih brute force for now */ ierr = MatTranspose( Pold, Pnew ); ierr = MatDestroy( &Pold ); CHKERRQ(ierr); ierr = MatRARt( Amat_fine, Pnew, MAT_INITIAL_MATRIX, 2.0, &Cmat ); CHKERRQ(ierr); Pold = Pnew; #else ierr = MatPtAP( Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat ); CHKERRQ(ierr); #endif ierr = MatSetBlockSize( Cmat, cbs ); CHKERRQ(ierr); ierr = MatGetOwnershipRange( Cmat, &Istart0, &Iend0 ); CHKERRQ(ierr); ncrs0 = (Iend0-Istart0)/cbs; assert((Iend0-Istart0)%cbs == 0); /* get number of PEs to make active, reduce */ ierr = MatGetSize( Cmat, &neq, &NN ); CHKERRQ(ierr); new_npe = (PetscMPIInt)((float)neq/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ if( new_npe == 0 || neq < coarse_max ) new_npe = 1; else if (new_npe >= nactive ) new_npe = nactive; /* no change, rare */ if( isLast ) new_npe = 1; if( !repart && new_npe==nactive ) { *a_Amat_crs = Cmat; /* output - no repartitioning or reduction */ } else { /* Repartition Cmat_{k} and move colums of P^{k}_{k-1} and coordinates accordingly */ const PetscInt *idx,ndata_rows=pc_gamg->data_cell_rows,ndata_cols=pc_gamg->data_cell_cols,data_sz=ndata_rows*ndata_cols; const PetscInt stride0=ncrs0*pc_gamg->data_cell_rows; PetscInt *counts,is_sz,*newproc_idx,ii,jj,kk,strideNew,*tidx,inpe,targetPE; IS isnewproc; VecScatter vecscat; PetscScalar *array; Vec src_crd, dest_crd; IS isscat; ierr = PetscMalloc( npe*sizeof(PetscInt), &counts ); CHKERRQ(ierr); #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); #endif if( repart ) { /* create sub communicator */ Mat adj; if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s repartition: npe (active): %d --> %d, neq = %d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,neq); /* MatPartitioningApply call MatConvert, which is collective */ if( cbs == 1 ) { ierr = MatConvert( Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj ); CHKERRQ(ierr); } else{ /* make a scalar matrix to partition */ Mat tMat; PetscInt ncols,jj,Ii; const PetscScalar *vals; const PetscInt *idx; PetscInt *d_nnz, *o_nnz; static PetscInt llev = 0; ierr = PetscMalloc( ncrs0*sizeof(PetscInt), &d_nnz ); CHKERRQ(ierr); ierr = PetscMalloc( ncrs0*sizeof(PetscInt), &o_nnz ); CHKERRQ(ierr); for ( Ii = Istart0, jj = 0 ; Ii < Iend0 ; Ii += cbs, jj++ ) { ierr = MatGetRow(Cmat,Ii,&ncols,0,0); CHKERRQ(ierr); d_nnz[jj] = ncols/cbs; o_nnz[jj] = ncols/cbs; ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0); CHKERRQ(ierr); if( d_nnz[jj] > ncrs0 ) d_nnz[jj] = ncrs0; if( o_nnz[jj] > (neq/cbs-ncrs0) ) o_nnz[jj] = neq/cbs-ncrs0; } ierr = MatCreateAIJ( wcomm, ncrs0, ncrs0, PETSC_DETERMINE, PETSC_DETERMINE, 0, d_nnz, 0, o_nnz, &tMat ); CHKERRQ(ierr); ierr = PetscFree( d_nnz ); CHKERRQ(ierr); ierr = PetscFree( o_nnz ); CHKERRQ(ierr); for ( ii = Istart0; ii < Iend0; ii++ ) { PetscInt dest_row = ii/cbs; ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals); CHKERRQ(ierr); for( jj = 0 ; jj < ncols ; jj++ ){ PetscInt dest_col = idx[jj]/cbs; PetscScalar v = 1.0; ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES); CHKERRQ(ierr); } ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals); CHKERRQ(ierr); } ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); if( llev++ == -1 ) { PetscViewer viewer; char fname[32]; ierr = PetscSNPrintf(fname,sizeof fname,"part_mat_%D.mat",llev);CHKERRQ(ierr); PetscViewerBinaryOpen(wcomm,fname,FILE_MODE_WRITE,&viewer); ierr = MatView( tMat, viewer ); CHKERRQ(ierr); ierr = PetscViewerDestroy( &viewer ); } ierr = MatConvert( tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj ); CHKERRQ(ierr); ierr = MatDestroy( &tMat ); CHKERRQ(ierr); } { /* partition: get newproc_idx, set is_sz */ char prefix[256]; const char *pcpre; const PetscInt *is_idx; MatPartitioning mpart; IS proc_is; ierr = MatPartitioningCreate( wcomm, &mpart ); CHKERRQ(ierr); ierr = MatPartitioningSetAdjacency( mpart, adj ); CHKERRQ(ierr); ierr = PCGetOptionsPrefix( pc, &pcpre );CHKERRQ(ierr); ierr = PetscSNPrintf(prefix,sizeof prefix,"%spc_gamg_",pcpre?pcpre:"");CHKERRQ(ierr); ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); ierr = MatPartitioningSetFromOptions( mpart ); CHKERRQ(ierr); ierr = MatPartitioningSetNParts( mpart, new_npe );CHKERRQ(ierr); ierr = MatPartitioningApply( mpart, &proc_is ); CHKERRQ(ierr); ierr = MatPartitioningDestroy( &mpart ); CHKERRQ(ierr); /* collect IS info */ ierr = ISGetLocalSize( proc_is, &is_sz ); CHKERRQ(ierr); ierr = PetscMalloc( cbs*is_sz*sizeof(PetscInt), &newproc_idx ); CHKERRQ(ierr); ierr = ISGetIndices( proc_is, &is_idx ); CHKERRQ(ierr); NN = 1; /* bring to "front" of machine */ /*NN = npe/new_npe;*/ /* spread partitioning across machine */ for( kk = jj = 0 ; kk < is_sz ; kk++ ){ for( ii = 0 ; ii < cbs ; ii++, jj++ ){ newproc_idx[jj] = is_idx[kk] * NN; /* distribution */ } } ierr = ISRestoreIndices( proc_is, &is_idx ); CHKERRQ(ierr); ierr = ISDestroy( &proc_is ); CHKERRQ(ierr); is_sz *= cbs; } ierr = MatDestroy( &adj ); CHKERRQ(ierr); ierr = ISCreateGeneral( wcomm, is_sz, newproc_idx, PETSC_COPY_VALUES, &isnewproc ); CHKERRQ(ierr); if( newproc_idx != 0 ) { ierr = PetscFree( newproc_idx ); CHKERRQ(ierr); } } else { /* simple aggreagtion of parts */ /* find factor */ if( new_npe == 1 ) rfactor = npe; /* easy */ else { PetscReal best_fact = 0.; jj = -1; for( kk = 1 ; kk <= npe ; kk++ ){ if( npe%kk==0 ) { /* a candidate */ PetscReal nactpe = (PetscReal)npe/(PetscReal)kk, fact = nactpe/(PetscReal)new_npe; if(fact > 1.0) fact = 1./fact; /* keep fact < 1 */ if( fact > best_fact ) { best_fact = fact; jj = kk; } } } if(jj!=-1) rfactor = jj; else rfactor = 1; /* prime? */ } new_npe = npe/rfactor; if( new_npe==nactive ) { *a_Amat_crs = Cmat; /* output - no repartitioning or reduction */ ierr = PetscFree( counts ); CHKERRQ(ierr); *a_nactive_proc = new_npe; /* output */ if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s aggregate processors noop: new_npe=%d, neq=%d\n",mype,__FUNCT__,new_npe,neq); PetscFunctionReturn(0); } /* reduce - isnewproc */ targetPE = mype/rfactor; if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s aggregate processors: npe: %d --> %d, neq=%d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,neq); is_sz = ncrs0*cbs; ierr = ISCreateStride( wcomm, is_sz, targetPE, 0, &isnewproc ); CHKERRQ(ierr); } /* Create an index set from the isnewproc index set to indicate the mapping TO */ ierr = ISPartitioningToNumbering( isnewproc, &isnum ); CHKERRQ(ierr); /* Determine how many elements are assigned to each processor */ inpe = npe; ierr = ISPartitioningCount( isnewproc, inpe, counts ); CHKERRQ(ierr); ierr = ISDestroy( &isnewproc ); CHKERRQ(ierr); ncrs_new = counts[mype]/cbs; strideNew = ncrs_new*ndata_rows; #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0); CHKERRQ(ierr); #endif /* Create a vector to contain the newly ordered element information */ ierr = VecCreate( wcomm, &dest_crd ); ierr = VecSetSizes( dest_crd, data_sz*ncrs_new, PETSC_DECIDE ); CHKERRQ(ierr); ierr = VecSetFromOptions( dest_crd ); CHKERRQ(ierr); /* this is needed! */ /* There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having a block size of ...). Note, ISs are expanded into equation space by 'cbs'. */ ierr = PetscMalloc( (ncrs0*data_sz)*sizeof(PetscInt), &tidx ); CHKERRQ(ierr); ierr = ISGetIndices( isnum, &idx ); CHKERRQ(ierr); for(ii=0,jj=0; iidata[ix]; ierr = VecSetValues( src_crd, 1, &jx, &tt, INSERT_VALUES ); CHKERRQ(ierr); } } } ierr = VecAssemblyBegin(src_crd); CHKERRQ(ierr); ierr = VecAssemblyEnd(src_crd); CHKERRQ(ierr); /* Scatter the element vertex information (still in the original vertex ordering) to the correct processor */ ierr = VecScatterCreate( src_crd, PETSC_NULL, dest_crd, isscat, &vecscat); CHKERRQ(ierr); ierr = ISDestroy( &isscat ); CHKERRQ(ierr); ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); ierr = VecScatterDestroy( &vecscat ); CHKERRQ(ierr); ierr = VecDestroy( &src_crd ); CHKERRQ(ierr); /* Put the element vertex data into a new allocation of the gdata->ele */ ierr = PetscFree( pc_gamg->data ); CHKERRQ(ierr); ierr = PetscMalloc( data_sz*ncrs_new*sizeof(PetscReal), &pc_gamg->data ); CHKERRQ(ierr); pc_gamg->data_sz = data_sz*ncrs_new; ierr = VecGetArray( dest_crd, &array ); CHKERRQ(ierr); for( jj=0; jjdata[ix] = PetscRealPart(array[jx]); array[jx] = 1.e300; } } } ierr = VecRestoreArray( dest_crd, &array ); CHKERRQ(ierr); ierr = VecDestroy( &dest_crd ); CHKERRQ(ierr); #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); #endif /* Invert for MatGetSubMatrix */ ierr = ISInvertPermutation( isnum, ncrs_new*cbs, &new_indices ); CHKERRQ(ierr); ierr = ISSort( new_indices ); CHKERRQ(ierr); /* is this needed? */ ierr = ISDestroy( &isnum ); CHKERRQ(ierr); #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); #endif /* A_crs output */ ierr = MatGetSubMatrix( Cmat, new_indices, new_indices, MAT_INITIAL_MATRIX, a_Amat_crs ); CHKERRQ(ierr); ierr = MatDestroy( &Cmat ); CHKERRQ(ierr); Cmat = *a_Amat_crs; /* output */ ierr = MatSetBlockSize( Cmat, cbs ); CHKERRQ(ierr); #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); #endif /* prolongator */ ierr = MatGetOwnershipRange( Pold, &Istart, &Iend ); CHKERRQ(ierr); { IS findices; #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); #endif ierr = ISCreateStride(wcomm,Iend-Istart,Istart,1,&findices); CHKERRQ(ierr); #ifdef USE_R ierr = MatGetSubMatrix( Pold, new_indices, findices, MAT_INITIAL_MATRIX, &Pnew ); #else ierr = MatGetSubMatrix( Pold, findices, new_indices, MAT_INITIAL_MATRIX, &Pnew ); #endif CHKERRQ(ierr); ierr = ISDestroy( &findices ); CHKERRQ(ierr); #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); #endif } ierr = MatDestroy( a_P_inout ); CHKERRQ(ierr); *a_P_inout = Pnew; /* output - repartitioned */ ierr = ISDestroy( &new_indices ); CHKERRQ(ierr); ierr = PetscFree( counts ); CHKERRQ(ierr); } *a_nactive_proc = new_npe; /* output */ if( !PETSC_TRUE ) { PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; if(llev==0) { sprintf(fname,"Cmat_%d.m",llev++); PetscViewerASCIIOpen(wcomm,fname,&viewer); ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); ierr = MatView(Amat_fine, viewer ); CHKERRQ(ierr); ierr = PetscViewerDestroy( &viewer ); } sprintf(fname,"Cmat_%d.m",llev++); PetscViewerASCIIOpen(wcomm,fname,&viewer); ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); ierr = MatView(Cmat, viewer ); CHKERRQ(ierr); ierr = PetscViewerDestroy( &viewer ); } PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner by setting data structures and options. Input Parameter: . pc - the preconditioner context Application Interface Routine: PCSetUp() Notes: The interface routine PCSetUp() is not usually called directly by the user, but instead is called by PCApply() if necessary. */ #undef __FUNCT__ #define __FUNCT__ "PCSetUp_GAMG" PetscErrorCode PCSetUp_GAMG( PC pc ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; Mat Pmat = pc->pmat; PetscInt fine_level,level,level1,M,N,bs,nloc,lidx,Istart,Iend; MPI_Comm wcomm = ((PetscObject)pc)->comm; PetscMPIInt mype,npe,nactivepe; Mat Aarr[GAMG_MAXLEVELS], Parr[GAMG_MAXLEVELS]; PetscReal emaxs[GAMG_MAXLEVELS]; PetscLogDouble nnz0=0,nnztot=0; MatInfo info; PetscFunctionBegin; ierr = MPI_Comm_rank(wcomm,&mype);CHKERRQ(ierr); ierr = MPI_Comm_size(wcomm,&npe);CHKERRQ(ierr); if( pc_gamg->setup_count++ > 0 ) { PC_MG_Levels **mglevels = mg->levels; /* just do Galerkin grids */ Mat B,dA,dB; assert(pc->setupcalled); if( pc_gamg->Nlevels > 1 ) { /* currently only handle case where mat and pmat are the same on coarser levels */ ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); /* (re)set to get dirty flag */ ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); for (level=pc_gamg->Nlevels-2; level>-1; level--) { /* the first time through the matrix structure has changed from repartitioning */ if( pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); mglevels[level]->A = B; } else { ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); } ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN); CHKERRQ(ierr); dB = B; } } ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); /* PCSetUp_MG seems to insists on setting this to GMRES */ ierr = KSPSetType( mglevels[0]->smoothd, KSPPREONLY ); CHKERRQ(ierr); PetscFunctionReturn(0); } assert(pc->setupcalled == 0); /* GAMG requires input of fine-grid matrix. It determines nlevels. */ ierr = MatGetBlockSize( Pmat, &bs ); CHKERRQ(ierr); ierr = MatGetSize( Pmat, &M, &N );CHKERRQ(ierr); ierr = MatGetOwnershipRange( Pmat, &Istart, &Iend ); CHKERRQ(ierr); nloc = (Iend-Istart)/bs; assert((Iend-Istart)%bs == 0); if( pc_gamg->data == 0 && nloc > 0 ) { if(!pc_gamg->createdefaultdata){ SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_LIB,"'createdefaultdata' not set?!?! need to support NULL data!!!"); } ierr = pc_gamg->createdefaultdata( pc ); CHKERRQ(ierr); } /* Get A_i and R_i */ if (pc_gamg->verbose) { if(pc_gamg->verbose==1) ierr = MatGetInfo(Pmat,MAT_LOCAL,&info); else ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info); CHKERRQ(ierr); nnz0 = info.nz_used; nnztot = info.nz_used; PetscPrintf(wcomm,"\t[%d]%s level %d N=%d, n data rows=%d, n data cols=%d, nnz/row (ave)=%d, np=%d\n", mype,__FUNCT__,0,N,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, (int)(nnz0/(PetscReal)N),npe); } for ( level=0, Aarr[0] = Pmat, nactivepe = npe; /* hard wired stopping logic */ level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (npe==1 || nactivepe>1); */ level++ ){ level1 = level + 1; #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) ierr = PetscLogStagePush(gamg_stages[level]); CHKERRQ( ierr ); #endif #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0); CHKERRQ(ierr); #endif { /* construct prolongator */ Mat Gmat; PetscCoarsenData *agg_lists; ierr = pc_gamg->graph( pc, Aarr[level], &Gmat ); CHKERRQ(ierr); ierr = pc_gamg->coarsen( pc, &Gmat, &agg_lists ); CHKERRQ(ierr); ierr = pc_gamg->prolongator( pc, Aarr[level], Gmat, agg_lists, &Parr[level1] ); CHKERRQ(ierr); if( Parr[level1] ){ /* get new block size of coarse matrices */ if( pc_gamg->col_bs_id != -1 ){ PetscBool flag; ierr = PetscObjectComposedDataGetInt( (PetscObject)Parr[level1], pc_gamg->col_bs_id, bs, flag ); CHKERRQ( ierr ); assert(flag); } } if( pc_gamg->optprol && Parr[level1] ){ /* smooth */ ierr = pc_gamg->optprol( pc, Aarr[level], &Parr[level1] ); CHKERRQ(ierr); } ierr = MatDestroy( &Gmat ); CHKERRQ(ierr); ierr = PetscCDDestroy( agg_lists ); CHKERRQ(ierr); } #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); #endif /* cache eigen estimate */ if( pc_gamg->emax_id != -1 ){ PetscBool flag; ierr = PetscObjectComposedDataGetReal( (PetscObject)Aarr[level], pc_gamg->emax_id, emaxs[level], flag ); CHKERRQ( ierr ); if( !flag ) emaxs[level] = -1.; } else emaxs[level] = -1.; if(level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ if( !Parr[level1] ) { if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",mype,__FUNCT__,level); break; } #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); #endif ierr = createLevel( pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), &Parr[level1], &nactivepe, &Aarr[level1] ); CHKERRQ(ierr); #if defined PETSC_GAMG_USE_LOG ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); #endif ierr = MatGetSize( Aarr[level1], &M, &N );CHKERRQ(ierr); if (pc_gamg->verbose){ PetscInt NN = M; if(pc_gamg->verbose==1) { ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info); ierr = MatGetLocalSize( Aarr[level1], &NN, &N );CHKERRQ(ierr); } else ierr = MatGetInfo(Aarr[level1],MAT_GLOBAL_SUM,&info); CHKERRQ(ierr); nnztot += info.nz_used; PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", mype,__FUNCT__,(int)level1,N,pc_gamg->data_cell_cols, (int)(info.nz_used/(PetscReal)NN), nactivepe ); CHKERRQ(ierr); } /* stop if one node */ if( M/pc_gamg->data_cell_cols < 2 ) { level++; break; } /* Vec diag; PetscScalar *data_arr,v; PetscInt Istart,Iend,kk,nloceq,id; */ /* v = 1.e-10; /\* LU factor has hard wired numbers for small diags so this needs to match (yuk) *\/ */ /* ierr = MatGetOwnershipRange(Aarr[level1], &Istart, &Iend); CHKERRQ(ierr); */ /* nloceq = Iend-Istart; */ /* ierr = MatGetVecs( Aarr[level1], &diag, 0 ); CHKERRQ(ierr); */ /* ierr = MatGetDiagonal( Aarr[level1], diag ); CHKERRQ(ierr); */ /* ierr = VecGetArray( diag, &data_arr ); CHKERRQ(ierr); */ /* for(kk=0;kkdata ) { ierr = PetscFree( pc_gamg->data ); CHKERRQ( ierr ); pc_gamg->data = 0; } if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); pc_gamg->Nlevels = level + 1; fine_level = level; ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); /* simple setup */ if( !PETSC_TRUE ){ PC_MG_Levels **mglevels = mg->levels; for (lidx=0,level=pc_gamg->Nlevels-1; lidxsmoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); } ierr = KSPSetOperators( mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); ierr = PCSetUp_MG( pc ); CHKERRQ( ierr ); } else if( pc_gamg->Nlevels > 1 ) { /* don't setup MG if one level */ /* set default smoothers & set operators */ for ( lidx = 1, level = pc_gamg->Nlevels-2; lidx <= fine_level; lidx++, level--) { KSP smoother; PC subpc; /* set defaults */ ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); ierr = KSPSetType( smoother, KSPCHEBYCHEV );CHKERRQ(ierr); ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); ierr = PCSetType( subpc, PCJACOBI ); CHKERRQ(ierr); ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); /* set ops */ ierr = KSPSetOperators( smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); ierr = PCMGSetInterpolation( pc, lidx, Parr[level+1] );CHKERRQ(ierr); } { /* coarse grid */ KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); ierr = KSPSetOperators( smoother, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ(ierr); ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); ierr = PCSetType( subpc, PCBJACOBI ); CHKERRQ(ierr); ierr = PCSetUp( subpc ); CHKERRQ(ierr); ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); ierr = PCSetType( pc2, PCLU ); CHKERRQ(ierr); } /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ ierr = PetscObjectOptionsBegin((PetscObject)pc);CHKERRQ(ierr); ierr = PCSetFromOptions_MG(pc); CHKERRQ(ierr); ierr = PetscOptionsEnd();CHKERRQ(ierr); if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); /* create cheby smoothers */ for ( lidx = 1, level = pc_gamg->Nlevels-2; lidx <= fine_level; lidx++, level--) { KSP smoother; PetscBool isCheb; ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); /* do my own cheby */ ierr = PetscTypeCompare( (PetscObject)smoother, KSPCHEBYCHEV, &isCheb ); CHKERRQ(ierr); if( isCheb ) { PetscReal emax, emin; PC subpc; ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); ierr = PetscTypeCompare( (PetscObject)subpc, PCJACOBI, &isCheb ); CHKERRQ(ierr); if( isCheb && emaxs[level] > 0.0 ) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ else{ /* eigen estimate 'emax' */ KSP eksp; Mat Lmat = Aarr[level]; Vec bb, xx; ierr = MatGetVecs( Lmat, &bb, 0 ); CHKERRQ(ierr); ierr = MatGetVecs( Lmat, &xx, 0 ); CHKERRQ(ierr); { PetscRandom rctx; ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); ierr = PetscRandomDestroy( &rctx ); CHKERRQ(ierr); } ierr = KSPCreate(wcomm,&eksp);CHKERRQ(ierr); ierr = KSPSetTolerances( eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10 ); CHKERRQ(ierr); ierr = KSPSetNormType( eksp, KSP_NORM_NONE ); CHKERRQ(ierr); ierr = KSPAppendOptionsPrefix( eksp, "est_"); CHKERRQ(ierr); ierr = KSPSetFromOptions( eksp ); CHKERRQ(ierr); ierr = KSPSetInitialGuessNonzero( eksp, PETSC_FALSE ); CHKERRQ(ierr); ierr = KSPSetOperators( eksp, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ( ierr ); ierr = KSPSetComputeSingularValues( eksp,PETSC_TRUE ); CHKERRQ(ierr); { /* set PC type to be same as smoother - does not get all parameters!!! */ const PCType type; PC pc; ierr = PCGetType( subpc, &type ); CHKERRQ(ierr); ierr = KSPGetPC( eksp, &pc );CHKERRQ( ierr ); ierr = PCSetType( pc, type ); CHKERRQ(ierr); } /* solve - keep stuff out of logging */ ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); ierr = KSPSolve( eksp, bb, xx ); CHKERRQ(ierr); ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); ierr = KSPComputeExtremeSingularValues( eksp, &emax, &emin ); CHKERRQ(ierr); ierr = VecDestroy( &xx ); CHKERRQ(ierr); ierr = VecDestroy( &bb ); CHKERRQ(ierr); ierr = KSPDestroy( &eksp ); CHKERRQ(ierr); if (pc_gamg->verbose) { PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e\n",__FUNCT__,emax,emin); } } { PetscInt N1, N0, tt; ierr = MatGetSize( Aarr[level], &N1, &tt ); CHKERRQ(ierr); ierr = MatGetSize( Aarr[level+1], &N0, &tt ); CHKERRQ(ierr); /* heuristic - is this crap? */ emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); emax *= 1.05; } ierr = KSPChebychevSetEigenvalues( smoother, emax, emin );CHKERRQ(ierr); } } /* clean up */ for(level=1;levelNlevels;level++){ ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); } ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); { KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); } } else { KSP smoother; if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",mype,__FUNCT__); ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); ierr = KSPSetOperators( smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); } PetscFunctionReturn(0); } /* ------------------------------------------------------------------------- */ /* PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner that was created with PCCreate_GAMG(). Input Parameter: . pc - the preconditioner context Application Interface Routine: PCDestroy() */ #undef __FUNCT__ #define __FUNCT__ "PCDestroy_GAMG" PetscErrorCode PCDestroy_GAMG( PC pc ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; PetscFunctionBegin; ierr = PCReset_GAMG( pc );CHKERRQ(ierr); ierr = PetscFree( pc_gamg );CHKERRQ(ierr); ierr = PCDestroy_MG( pc );CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetProcEqLim" /*@ PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via processor reduction. Not Collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_process_eq_limit Level: intermediate Concepts: Unstructured multrigrid preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscFunctionBegin; if(n>0) pc_gamg->min_eq_proc = n; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetCoarseEqLim" /*@ PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. Collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_coarse_eq_limit Level: intermediate Concepts: Unstructured multrigrid preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscFunctionBegin; if(n>0) pc_gamg->coarse_eq_limit = n; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetRepartitioning" /*@ PCGAMGSetRepartitioning - Repartition the coarse grids Collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_repartition Level: intermediate Concepts: Unstructured multrigrid preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscFunctionBegin; pc_gamg->repart = n; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetNlevels" /*@ PCGAMGSetNlevels - Not collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_mg_levels Level: intermediate Concepts: Unstructured multrigrid preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetNlevels_GAMG" PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscFunctionBegin; pc_gamg->Nlevels = n; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetThreshold" /*@ PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph Not collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_threshold Level: intermediate Concepts: Unstructured multrigrid preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetThreshold_GAMG" PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscFunctionBegin; pc_gamg->threshold = n; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetType" /*@ PCGAMGSetType - Set solution method - calls sub create method Collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_type Level: intermediate Concepts: Unstructured multrigrid preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetType( PC pc, const PCGAMGType type ) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,const PCGAMGType),(pc,type)); CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetType_GAMG" PetscErrorCode PCGAMGSetType_GAMG( PC pc, const PCGAMGType type ) { PetscErrorCode ierr,(*r)(PC); PetscFunctionBegin; ierr = PetscFListFind(GAMGList,((PetscObject)pc)->comm,type,PETSC_FALSE,(PetscVoidStarFunction)&r); CHKERRQ(ierr); if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); /* call sub create method */ ierr = (*r)(pc); CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCSetFromOptions_GAMG" PetscErrorCode PCSetFromOptions_GAMG( PC pc ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscBool flag; MPI_Comm wcomm = ((PetscObject)pc)->comm; PetscFunctionBegin; ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); { /* -pc_gamg_verbose */ ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", "none", pc_gamg->verbose, &pc_gamg->verbose, PETSC_NULL ); CHKERRQ(ierr); /* -pc_gamg_repartition */ ierr = PetscOptionsBool("-pc_gamg_repartition", "Repartion coarse grids (false)", "PCGAMGRepartitioning", pc_gamg->repart, &pc_gamg->repart, &flag); CHKERRQ(ierr); /* -pc_gamg_process_eq_limit */ ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", "Limit (goal) on number of equations per process on coarse grids", "PCGAMGSetProcEqLim", pc_gamg->min_eq_proc, &pc_gamg->min_eq_proc, &flag ); CHKERRQ(ierr); /* -pc_gamg_coarse_eq_limit */ ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", "Limit on number of equations for the coarse grid", "PCGAMGSetCoarseEqLim", pc_gamg->coarse_eq_limit, &pc_gamg->coarse_eq_limit, &flag ); CHKERRQ(ierr); /* -pc_gamg_threshold */ ierr = PetscOptionsReal("-pc_gamg_threshold", "Relative threshold to use for dropping edges in aggregation graph", "PCGAMGSetThreshold", pc_gamg->threshold, &pc_gamg->threshold, &flag ); CHKERRQ(ierr); if(flag && pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold); ierr = PetscOptionsInt("-pc_mg_levels", "Set number of MG levels", "PCGAMGSetNlevels", pc_gamg->Nlevels, &pc_gamg->Nlevels, &flag ); } ierr = PetscOptionsTail();CHKERRQ(ierr); PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /*MC PCCreate_GAMG - Geometric algebraic multigrid (AMG) preconditioning framework. - This is the entry point to GAMG, registered in pcregis.c Options Database Keys: Multigrid options(inherited) + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) - -pc_mg_type : (one of) additive multiplicative full cascade kascade Level: intermediate Concepts: multigrid .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() M*/ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCCreate_GAMG" PetscErrorCode PCCreate_GAMG( PC pc ) { PetscErrorCode ierr; PC_GAMG *pc_gamg; PC_MG *mg; #if defined PETSC_GAMG_USE_LOG static long count = 0; #endif PetscFunctionBegin; /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ ierr = PCSetType( pc, PCMG ); CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ ierr = PetscObjectChangeTypeName( (PetscObject)pc, PCGAMG ); CHKERRQ(ierr); /* create a supporting struct and attach it to pc */ ierr = PetscNewLog( pc, PC_GAMG, &pc_gamg ); CHKERRQ(ierr); mg = (PC_MG*)pc->data; mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ mg->innerctx = pc_gamg; pc_gamg->setup_count = 0; /* these should be in subctx but repartitioning needs simple arrays */ pc_gamg->data_sz = 0; pc_gamg->data = 0; /* register AMG type */ if( !GAMGList ){ ierr = PetscFListAdd(&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); ierr = PetscFListAdd(&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); } /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ pc->ops->setfromoptions = PCSetFromOptions_GAMG; pc->ops->setup = PCSetUp_GAMG; pc->ops->reset = PCReset_GAMG; pc->ops->destroy = PCDestroy_GAMG; ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, "PCGAMGSetProcEqLim_C", "PCGAMGSetProcEqLim_GAMG", PCGAMGSetProcEqLim_GAMG); CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, "PCGAMGSetCoarseEqLim_C", "PCGAMGSetCoarseEqLim_GAMG", PCGAMGSetCoarseEqLim_GAMG); CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, "PCGAMGSetRepartitioning_C", "PCGAMGSetRepartitioning_GAMG", PCGAMGSetRepartitioning_GAMG); CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, "PCGAMGSetThreshold_C", "PCGAMGSetThreshold_GAMG", PCGAMGSetThreshold_GAMG); CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, "PCGAMGSetType_C", "PCGAMGSetType_GAMG", PCGAMGSetType_GAMG); CHKERRQ(ierr); pc_gamg->repart = PETSC_FALSE; pc_gamg->min_eq_proc = 100; pc_gamg->coarse_eq_limit = 800; pc_gamg->threshold = 0.05; pc_gamg->Nlevels = GAMG_MAXLEVELS; pc_gamg->verbose = 0; pc_gamg->emax_id = -1; pc_gamg->col_bs_id = -1; /* instantiate derived type */ ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); { char tname[256] = GAMGAGG; ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType", GAMGList, tname, tname, sizeof(tname), PETSC_NULL ); CHKERRQ(ierr); ierr = PCGAMGSetType( pc, tname ); CHKERRQ(ierr); } ierr = PetscOptionsTail();CHKERRQ(ierr); /* private events */ #if defined PETSC_GAMG_USE_LOG if( count++ == 0 ) { PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]); PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]); /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]); PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]); PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]); PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]); PetscLogEventRegister(" SA: colect data", PC_CLASSID, &petsc_gamg_setup_events[SET7]); PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]); PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]); PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]); PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]); PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]); PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]); PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]); /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ /* create timer stages */ #if defined GAMG_STAGES { char str[32]; sprintf(str,"MG Level %d (finest)",0); PetscLogStageRegister(str, &gamg_stages[0]); PetscInt lidx; for (lidx=1;lidx<9;lidx++){ sprintf(str,"MG Level %d",lidx); PetscLogStageRegister(str, &gamg_stages[lidx]); } } #endif } #endif /* general events */ #if defined PETSC_USE_LOG PetscLogEventRegister("PCGAMGgraph_AGG", PC_CLASSID, &PC_GAMGGgraph_AGG); PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO); PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG); PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO); PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG); PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO); PetscLogEventRegister("PCGAMGProlOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG); #endif PetscFunctionReturn(0); } EXTERN_C_END