/* GAMG geometric-algebric multiogrid PC - Mark Adams 2011 */ #include <../src/ksp/pc/impls/gamg/gamg.h> /*I "petscpc.h" I*/ #include #include #include typedef struct { PetscInt nsmooths; Mat aux_mat; PetscBool sym_graph; }PC_GAMG_AGG; #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetNSmooths" /*@ PCGAMGSetNSmooths - Set number of smoothing steps (1 is typical) Not Collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_agg_nsmooths Level: intermediate Concepts: Aggregation AMG preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetNSmooths(PC pc, PetscInt n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetNSmooths_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetNSmooths_GAMG" PetscErrorCode PCGAMGSetNSmooths_GAMG(PC pc, PetscInt n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; PetscFunctionBegin; pc_gamg_agg->nsmooths = n; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetSymGraph" /*@ PCGAMGSetSymGraph - Not Collective on PC Input Parameters: . pc - the preconditioner context Options Database Key: . -pc_gamg_sym_graph Level: intermediate Concepts: Aggregation AMG preconditioner .seealso: () @*/ PetscErrorCode PCGAMGSetSymGraph(PC pc, PetscBool n) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_CLASSID,1); ierr = PetscTryMethod(pc,"PCGAMGSetSymGraph_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCGAMGSetSymGraph_GAMG" PetscErrorCode PCGAMGSetSymGraph_GAMG(PC pc, PetscBool n) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; PetscFunctionBegin; pc_gamg_agg->sym_graph = n; PetscFunctionReturn(0); } EXTERN_C_END /* -------------------------------------------------------------------------- */ /* PCSetFromOptions_GAMG_AGG Input Parameter: . pc - */ #undef __FUNCT__ #define __FUNCT__ "PCSetFromOptions_GAMG_AGG" PetscErrorCode PCSetFromOptions_GAMG_AGG( PC pc ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; PetscBool flag; PetscFunctionBegin; /* call base class */ ierr = PCSetFromOptions_GAMG( pc ); CHKERRQ(ierr); ierr = PetscOptionsHead("GAMG-AGG options"); CHKERRQ(ierr); { /* -pc_gamg_agg_nsmooths */ pc_gamg_agg->nsmooths = 0; ierr = PetscOptionsInt("-pc_gamg_agg_nsmooths", "smoothing steps for smoothed aggregation, usually 1 (0)", "PCGAMGSetNSmooths", pc_gamg_agg->nsmooths, &pc_gamg_agg->nsmooths, &flag); CHKERRQ(ierr); /* -pc_gamg_sym_graph */ pc_gamg_agg->sym_graph = PETSC_FALSE; ierr = PetscOptionsBool("-pc_gamg_sym_graph", "Set for asymetric matrices", "PCGAMGSetSymGraph", pc_gamg_agg->sym_graph, &pc_gamg_agg->sym_graph, &flag); CHKERRQ(ierr); } ierr = PetscOptionsTail();CHKERRQ(ierr); if( pc_gamg->verbose > 1 ) { PetscPrintf(PETSC_COMM_WORLD,"[%d]%s done\n",0,__FUNCT__); } PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCDestroy_AGG Input Parameter: . pc - */ #undef __FUNCT__ #define __FUNCT__ "PCDestroy_AGG" PetscErrorCode PCDestroy_AGG( PC pc ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; PetscFunctionBegin; if( pc_gamg_agg ) { ierr = PetscFree(pc_gamg_agg);CHKERRQ(ierr); pc_gamg_agg = 0; } /* call base class */ ierr = PCDestroy_GAMG( pc );CHKERRQ(ierr); PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCSetCoordinates_AGG Input Parameter: . pc - the preconditioner context */ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCSetCoordinates_AGG" PetscErrorCode PCSetCoordinates_AGG( PC pc, PetscInt ndm, PetscReal *coords ) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PetscErrorCode ierr; PetscInt arrsz,bs,my0,kk,ii,jj,nloc,Iend; Mat Amat = pc->pmat; PetscFunctionBegin; PetscValidHeaderSpecific( Amat, MAT_CLASSID, 1 ); ierr = MatGetBlockSize( Amat, &bs ); CHKERRQ( ierr ); ierr = MatGetOwnershipRange( Amat, &my0, &Iend ); CHKERRQ(ierr); nloc = (Iend-my0)/bs; if((Iend-my0)%bs!=0) SETERRQ1(((PetscObject)Amat)->comm,PETSC_ERR_ARG_WRONG, "Bad local size %d.",nloc); /* SA: null space vectors */ if( coords && bs==1 ) pc_gamg->data_cell_cols = 1; /* scalar w/ coords and SA (not needed) */ else if( coords ) pc_gamg->data_cell_cols = (ndm==2 ? 3 : 6); /* elasticity */ else pc_gamg->data_cell_cols = bs; /* no data, force SA with constant null space vectors */ pc_gamg->data_cell_rows = bs; arrsz = nloc*pc_gamg->data_cell_rows*pc_gamg->data_cell_cols; /* create data - syntactic sugar that should be refactored at some point */ if (pc_gamg->data==0 || (pc_gamg->data_sz != arrsz)) { ierr = PetscFree( pc_gamg->data ); CHKERRQ(ierr); ierr = PetscMalloc(arrsz*sizeof(PetscReal), &pc_gamg->data ); CHKERRQ(ierr); } /* copy data in - column oriented */ for(kk=0;kkdata[kk*bs]; if( pc_gamg->data_cell_cols==1 ) *data = 1.0; else { for(ii=0;iidata_sz = arrsz; PetscFunctionReturn(0); } EXTERN_C_END typedef PetscInt NState; static const NState NOT_DONE=-2; static const NState DELETED=-1; static const NState REMOVED=-3; #define IS_SELECTED(s) (s!=DELETED && s!=NOT_DONE && s!=REMOVED) /* -------------------------------------------------------------------------- */ /* smoothAggs - greedy grab of with G1 (unsquared graph) -- AIJ specific - AGG-MG specific: clears singletons out of 'selected_2' Input Parameter: . Gmat_2 - glabal matrix of graph (data not defined) . Gmat_1 - base graph to grab with . selected_2 - Input/Output Parameter: . llist_aggs_2 - linked list of aggs, ghost lids are based on Gmat_2 (squared graph) */ #undef __FUNCT__ #define __FUNCT__ "smoothAggs" PetscErrorCode smoothAggs( const Mat Gmat_2, /* base (squared) graph */ const Mat Gmat_1, /* base graph, could be unsymmetic */ const IS selected_2, /* [nselected total] selected vertices */ IS llist_aggs_2 /* [nloc_nghost] global ID of aggregate */ ) { PetscErrorCode ierr; PetscBool isMPI; Mat_SeqAIJ *matA_1, *matB_1=0, *matA_2, *matB_2=0; MPI_Comm wcomm = ((PetscObject)Gmat_2)->comm; PetscMPIInt mype; PetscInt lid,*ii,*idx,ix,Iend,my0,nnodes_2,kk,n,j; Mat_MPIAIJ *mpimat_2 = 0, *mpimat_1=0; const PetscInt nloc = Gmat_2->rmap->n; PetscScalar *cpcol_1_state,*cpcol_2_state,*deleted_parent_gid; PetscInt *lid_cprowID_1,*id_llist_2,*lid_cprowID_2; NState *lid_state; PetscFunctionBegin; ierr = MPI_Comm_rank( wcomm, &mype ); CHKERRQ(ierr); ierr = MatGetOwnershipRange(Gmat_1,&my0,&Iend); CHKERRQ(ierr); if( !PETSC_TRUE ) { PetscViewer viewer; char fname[32]; static int llev=0; sprintf(fname,"Gmat2_%d.m",llev++); PetscViewerASCIIOpen(wcomm,fname,&viewer); ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); ierr = MatView(Gmat_2, viewer ); CHKERRQ(ierr); ierr = PetscViewerDestroy( &viewer ); } { /* copy linked list into temp buffer - should not work directly on pointer */ const PetscInt *llist_idx; ierr = ISGetSize( llist_aggs_2, &nnodes_2 ); CHKERRQ(ierr); ierr = PetscMalloc( nnodes_2*sizeof(PetscInt), &id_llist_2 ); CHKERRQ(ierr); ierr = ISGetIndices( llist_aggs_2, &llist_idx ); CHKERRQ(ierr); for(lid=0;liddata; mpimat_1 = (Mat_MPIAIJ*)Gmat_1->data; matA_1 = (Mat_SeqAIJ*)mpimat_1->A->data; matB_1 = (Mat_SeqAIJ*)mpimat_1->B->data; matA_2 = (Mat_SeqAIJ*)mpimat_2->A->data; matB_2 = (Mat_SeqAIJ*)mpimat_2->B->data; /* force compressed row storage for B matrix in AuxMat */ matB_1->compressedrow.check = PETSC_TRUE; ierr = MatCheckCompressedRow(mpimat_1->B,&matB_1->compressedrow,matB_1->i,Gmat_1->rmap->n,-1.0); CHKERRQ(ierr); ierr = PetscMalloc( nloc*sizeof(PetscInt), &lid_cprowID_2 ); CHKERRQ(ierr); ierr = PetscMalloc( nloc*sizeof(PetscInt), &lid_cprowID_1 ); CHKERRQ(ierr); for(lid=0;lidcompressedrow.nrows; ix++) { PetscInt lid = matB_1->compressedrow.rindex[ix]; lid_cprowID_1[lid] = ix; } for (ix=0; ixcompressedrow.nrows; ix++) { PetscInt lid = matB_2->compressedrow.rindex[ix]; lid_cprowID_2[lid] = ix; } } else { matA_1 = (Mat_SeqAIJ*)Gmat_1->data; matA_2 = (Mat_SeqAIJ*)Gmat_2->data; lid_cprowID_2 = lid_cprowID_1 = 0; } assert( matA_1 && !matA_1->compressedrow.use ); assert( matB_1==0 || matB_1->compressedrow.use ); assert( matA_2 && !matA_2->compressedrow.use ); assert( matB_2==0 || matB_2->compressedrow.use ); /* get state of locals and selected gid for deleted */ ierr = PetscMalloc( nloc*sizeof(NState), &lid_state ); CHKERRQ(ierr); ierr = PetscMalloc( nloc*sizeof(PetscScalar), &deleted_parent_gid ); CHKERRQ(ierr); for( lid = 0 ; lid < nloc ; lid++ ) { deleted_parent_gid[lid] = -1.0; lid_state[lid] = DELETED; } /* set index into compressed row 'lid_cprowID', not -1 means its a boundary node */ { PetscInt nSelected; const PetscInt *selected_idx; /* set local selected */ ierr = ISGetSize( selected_2, &nSelected ); CHKERRQ(ierr); ierr = ISGetIndices( selected_2, &selected_idx ); CHKERRQ(ierr); for(kk=0;kki; n = ii[lid+1] - ii[lid]; if( n < 2 ) { if(!lid_cprowID_2 || (ix=lid_cprowID_2[lid])==-1 || (matB_2->compressedrow.i[ix+1]-matB_2->compressedrow.i[ix])==0){ lid_state[lid] = REMOVED; } } } ierr = ISRestoreIndices( selected_2, &selected_idx ); CHKERRQ(ierr); } /* map local to selected local, -1 means a ghost owns it */ for(lid=kk=0;lidlvec & mpimat_2->lvec for temp space */ if (isMPI) { Vec tempVec; /* get 'cpcol_1_state' */ ierr = MatGetVecs( Gmat_1, &tempVec, 0 ); CHKERRQ(ierr); for(kk=0,j=my0;kkMvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD); CHKERRQ(ierr); ierr = VecScatterEnd(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD); CHKERRQ(ierr); ierr = VecGetArray( mpimat_1->lvec, &cpcol_1_state ); CHKERRQ(ierr); ierr = VecDestroy( &tempVec ); CHKERRQ(ierr); /* get 'cpcol_2_state' */ ierr = MatGetVecs( Gmat_2, &tempVec, 0 ); CHKERRQ(ierr); for(kk=0,j=my0;kkMvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD); CHKERRQ(ierr); ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD); CHKERRQ(ierr); ierr = VecGetArray( mpimat_2->lvec, &cpcol_2_state ); CHKERRQ(ierr); ierr = VecDestroy( &tempVec ); CHKERRQ(ierr); } /* ismpi */ /* doit */ for(lid=0;lidi; n = ii[lid+1] - ii[lid]; idx = matA_1->j + ii[lid]; for (j=0; j= my0 && sgid < my0+nloc ){ /* I'm stealing this local from a local */ PetscInt hav=0, flid2=sgid-my0, lastid; /* looking for local from local so id_llist_2 works */ for( lastid=flid2, flid=id_llist_2[flid2] ; flid!=-1 ; flid=id_llist_2[flid] ) { if( flid == lidj ) { id_llist_2[lastid] = id_llist_2[flid]; /* remove lidj from list */ id_llist_2[flid] = id_llist_2[lid]; id_llist_2[lid] = flid; /* insert 'lidj' into head of llist */ hav++; break; } lastid = flid; } if(hav!=1){ if(hav==0)SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"found node %d times???",hav); } } else{ /* I'm stealing this local, owned by a ghost - ok to use _2, local */ assert(sgid==-1); id_llist_2[lidj] = id_llist_2[lid]; id_llist_2[lid] = lidj; /* insert 'lidj' into head of llist */ /* local remove at end, off add/rm at end */ } } } } else if( state == DELETED && lid_cprowID_1 ) { PetscInt sgidold = (PetscInt)PetscRealPart(deleted_parent_gid[lid]); /* see if I have a selected ghost neighbor that will steal me */ if( (ix=lid_cprowID_1[lid]) != -1 ){ ii = matB_1->compressedrow.i; n = ii[ix+1] - ii[ix]; idx = matB_1->j + ii[ix]; for( j=0 ; j=my0 && sgidold<(my0+nloc) ) { /* this was mine */ PetscInt lastid,hav=0,flid,oldslidj=sgidold-my0; /* remove from 'oldslidj' list, local so _2 is OK */ for( lastid=oldslidj, flid=id_llist_2[oldslidj] ; flid != -1 ; flid=id_llist_2[flid] ) { if( flid == lid ) { id_llist_2[lastid] = id_llist_2[flid]; /* remove lid from oldslidj list */ hav++; break; } lastid = flid; } if(hav!=1){ if(hav==0)SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"found node %d times???",hav); } id_llist_2[lid] = -1; /* terminate linked list - needed? */ } else assert(id_llist_2[lid] == -1); } } } } /* selected/deleted */ else assert(state == REMOVED || !lid_cprowID_1); } /* node loop */ if( isMPI ) { PetscScalar *cpcol_2_sel_gid; Vec tempVec; PetscInt cpid; ierr = VecRestoreArray( mpimat_1->lvec, &cpcol_1_state ); CHKERRQ(ierr); ierr = VecRestoreArray( mpimat_2->lvec, &cpcol_2_state ); CHKERRQ(ierr); /* get 'cpcol_2_sel_gid' */ ierr = MatGetVecs( Gmat_2, &tempVec, 0 ); CHKERRQ(ierr); for(kk=0,j=my0;kkMvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD); CHKERRQ(ierr); ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD); CHKERRQ(ierr); ierr = VecDestroy( &tempVec ); CHKERRQ(ierr); ierr = VecGetArray( mpimat_2->lvec, &cpcol_2_sel_gid ); CHKERRQ(ierr); /* look for deleted ghosts and see if they moved */ for(lid=0;lid=nloc ) { PetscInt cpid = flid-nloc, sgid_new = (PetscInt)PetscRealPart(cpcol_2_sel_gid[cpid]); if( sgid_new != old_sgid && sgid_new != -1 ) { id_llist_2[lastid] = id_llist_2[flid]; /* remove 'flid' from list */ id_llist_2[flid] = -1; flid = lastid; } /* if it changed parents */ else lastid = flid; } /* for ghost nodes */ else lastid = flid; } /* loop over list of deleted */ } /* selected */ } /* look at ghosts, see if they changed, and moved here */ for(cpid=0;cpid=my0 && sgid_new<(my0+nloc) ) { /* this is mine */ PetscInt lastid,flid,slid_new=sgid_new-my0,flidj=nloc+cpid,hav=0; for( lastid=slid_new, flid=id_llist_2[slid_new] ; flid != -1 ; flid=id_llist_2[flid] ) { if( flid == flidj ) { hav++; break; } lastid = flid; } if( hav != 1 ){ assert(id_llist_2[flidj] == -1); id_llist_2[flidj] = id_llist_2[slid_new]; id_llist_2[slid_new] = flidj; /* insert 'flidj' into head of llist */ } } } ierr = VecRestoreArray( mpimat_2->lvec, &cpcol_2_sel_gid ); CHKERRQ(ierr); ierr = PetscFree( lid_cprowID_1 ); CHKERRQ(ierr); ierr = PetscFree( lid_cprowID_2 ); CHKERRQ(ierr); } /* copy out new aggs */ ierr = ISGeneralSetIndices(llist_aggs_2, nnodes_2, id_llist_2, PETSC_COPY_VALUES ); CHKERRQ(ierr); ierr = PetscFree( id_llist_2 ); CHKERRQ(ierr); ierr = PetscFree( deleted_parent_gid ); CHKERRQ(ierr); ierr = PetscFree( lid_state ); CHKERRQ(ierr); PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCSetData_AGG Input Parameter: . pc - */ #undef __FUNCT__ #define __FUNCT__ "PCSetData_AGG" PetscErrorCode PCSetData_AGG( PC pc ) { PetscErrorCode ierr; PetscFunctionBegin; ierr = PCSetCoordinates_AGG( pc, -1, PETSC_NULL ); CHKERRQ(ierr); PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* formProl0 Input Parameter: . selected - list of selected local ID, includes selected ghosts . locals_llist - linked list with aggregates . bs - block size . nSAvec - num columns of new P . my0crs - global index of locals . data_stride - bs*(nloc nodes + ghost nodes) . data_in[data_stride*nSAvec] - local data on fine grid . flid_fgid[data_stride/bs] - make local to global IDs, includes ghosts in 'locals_llist' Output Parameter: . a_data_out - in with fine grid data (w/ghosts), out with coarse grid data . a_Prol - prolongation operator */ #undef __FUNCT__ #define __FUNCT__ "formProl0" PetscErrorCode formProl0( IS selected, /* list of selected local ID, includes selected ghosts */ IS locals_llist, /* linked list from selected vertices of aggregate unselected vertices */ const PetscInt bs, const PetscInt nSAvec, const PetscInt my0crs, const PetscInt data_stride, PetscReal data_in[], const PetscInt flid_fgid[], PetscReal **a_data_out, Mat a_Prol /* prolongation operator (output)*/ ) { PetscErrorCode ierr; PetscInt Istart,Iend,nFineLoc,clid,flid,aggID,kk,jj,ii,mm,nLocalSelected,ndone,nSelected,minsz; MPI_Comm wcomm = ((PetscObject)a_Prol)->comm; PetscMPIInt mype, npe; const PetscInt *selected_idx,*llist_idx; PetscReal *out_data; /* #define OUT_AGGS */ #ifdef OUT_AGGS static PetscInt llev = 0; char fname[32]; FILE *file; sprintf(fname,"aggs_%d.m",llev++); if(llev==1) { file = fopen(fname,"w"); fprintf(file,"figure,\n"); } #endif PetscFunctionBegin; ierr = MPI_Comm_rank(wcomm,&mype);CHKERRQ(ierr); ierr = MPI_Comm_size(wcomm,&npe);CHKERRQ(ierr); ierr = MatGetOwnershipRange( a_Prol, &Istart, &Iend ); CHKERRQ(ierr); nFineLoc = (Iend-Istart)/bs; assert((Iend-Istart)%bs==0); ierr = ISGetSize( selected, &nSelected ); CHKERRQ(ierr); ierr = ISGetIndices( selected, &selected_idx ); CHKERRQ(ierr); ierr = ISGetIndices( locals_llist, &llist_idx ); CHKERRQ(ierr); for(kk=0,nLocalSelected=0;kk=nFineLoc || llist_idx[lid]==-1 ) continue; /* skip ghost or singleton */ /* count agg */ aggID = 0; flid = selected_idx[mm]; assert(flid != -1); do{ aggID++; } while( (flid=llist_idx[flid]) != -1 ); if( aggID0)?N-M:0),LDA=Mdata,LWORK=N*bs; PetscScalar *qqc,*qqr,*TAU,*WORK; PetscInt *fids; ierr = PetscMalloc( (Mdata*N)*sizeof(PetscScalar), &qqc ); CHKERRQ(ierr); ierr = PetscMalloc( (M*N)*sizeof(PetscScalar), &qqr ); CHKERRQ(ierr); ierr = PetscMalloc( N*sizeof(PetscScalar), &TAU ); CHKERRQ(ierr); ierr = PetscMalloc( LWORK*sizeof(PetscScalar), &WORK ); CHKERRQ(ierr); ierr = PetscMalloc( M*sizeof(PetscInt), &fids ); CHKERRQ(ierr); flid = selected_idx[mm]; aggID = 0; do{ /* copy in B_i matrix - column oriented */ PetscReal *data = &data_in[flid*bs]; for( kk = ii = 0; ii < bs ; ii++ ) { for( jj = 0; jj < N ; jj++ ) { qqc[jj*Mdata + aggID*bs + ii] = data[jj*data_stride + ii]; } } #ifdef OUT_AGGS if(llev==1) { char str[] = "plot(%e,%e,'r*'), hold on,\n", col[] = "rgbkmc", sim[] = "*os+h>ddata; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; const PetscInt verbose = pc_gamg->verbose; const PetscReal vfilter = pc_gamg->threshold; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; PetscMPIInt mype,npe; Mat Gmat, Gmat2; MPI_Comm wcomm = ((PetscObject)Amat)->comm; PetscFunctionBegin; ierr = MPI_Comm_rank( wcomm, &mype); CHKERRQ(ierr); ierr = MPI_Comm_size( wcomm, &npe); CHKERRQ(ierr); ierr = createSimpleGraph( Amat, &Gmat ); CHKERRQ( ierr ); ierr = scaleFilterGraph( &Gmat, vfilter, pc_gamg_agg->sym_graph, verbose ); CHKERRQ( ierr ); ierr = MatTransposeMatMult( Gmat, Gmat, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2 ); CHKERRQ(ierr); /* attach auxilary matrix */ pc_gamg_agg->aux_mat = Gmat; *a_Gmat = Gmat2; PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCGAMGCoarsen_AGG Input Parameter: . pc - this . Gmat2 - matrix on this fine level Output Parameter: . a_selected - prolongation operator to the next level . a_llist_parent - data of coarse grid points (num local columns in 'a_P_out') */ #undef __FUNCT__ #define __FUNCT__ "PCGAMGCoarsen_AGG" PetscErrorCode PCGAMGCoarsen_AGG( PC pc, const Mat Gmat2, IS *a_selected, IS *a_llist_parent ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; Mat Gmat1; /* unsquared graph (not symetrized!) */ IS perm, selected, llist_parent; PetscInt Ii,nloc,bs,n,m; PetscInt *permute; PetscBool *bIndexSet; MatCoarsen crs; MPI_Comm wcomm = ((PetscObject)Gmat2)->comm; /* PetscMPIInt mype,npe; */ PetscFunctionBegin; /* ierr = MPI_Comm_rank( wcomm, &mype); CHKERRQ(ierr); */ /* ierr = MPI_Comm_size( wcomm, &npe); CHKERRQ(ierr); */ ierr = MatGetLocalSize( Gmat2, &n, &m ); CHKERRQ(ierr); ierr = MatGetBlockSize( Gmat2, &bs ); CHKERRQ(ierr); assert(bs==1); nloc = n/bs; /* get unsquared graph */ Gmat1 = pc_gamg_agg->aux_mat; pc_gamg_agg->aux_mat = 0; /* get MIS aggs */ /* randomize */ ierr = PetscMalloc( nloc*sizeof(PetscInt), &permute ); CHKERRQ(ierr); ierr = PetscMalloc( nloc*sizeof(PetscBool), &bIndexSet ); CHKERRQ(ierr); for ( Ii = 0; Ii < nloc ; Ii++ ){ bIndexSet[Ii] = PETSC_FALSE; permute[Ii] = Ii; } srand(1); /* make deterministic */ for ( Ii = 0; Ii < nloc ; Ii++ ) { PetscInt iSwapIndex = rand()%nloc; if (!bIndexSet[iSwapIndex] && iSwapIndex != Ii) { PetscInt iTemp = permute[iSwapIndex]; permute[iSwapIndex] = permute[Ii]; permute[Ii] = iTemp; bIndexSet[iSwapIndex] = PETSC_TRUE; } } ierr = PetscFree( bIndexSet ); CHKERRQ(ierr); ierr = ISCreateGeneral(PETSC_COMM_SELF, nloc, permute, PETSC_USE_POINTER, &perm); CHKERRQ(ierr); #if defined PETSC_USE_LOG ierr = PetscLogEventBegin(gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); #endif ierr = MatCoarsenCreate( wcomm, &crs ); CHKERRQ(ierr); /* ierr = MatCoarsenSetType( crs, MATCOARSENMIS ); CHKERRQ(ierr); */ ierr = MatCoarsenSetFromOptions( crs ); CHKERRQ(ierr); ierr = MatCoarsenSetGreedyOrdering( crs, perm ); CHKERRQ(ierr); ierr = MatCoarsenSetAdjacency( crs, Gmat2 ); CHKERRQ(ierr); ierr = MatCoarsenSetVerbose( crs, pc_gamg->verbose ); CHKERRQ(ierr); ierr = MatCoarsenSetStrictAggs( crs, PETSC_TRUE ); CHKERRQ(ierr); ierr = MatCoarsenApply( crs ); CHKERRQ(ierr); ierr = MatCoarsenGetMISAggLists( crs, &selected, &llist_parent ); CHKERRQ(ierr); ierr = MatCoarsenDestroy( &crs ); CHKERRQ(ierr); ierr = ISDestroy( &perm ); CHKERRQ(ierr); ierr = PetscFree( permute ); CHKERRQ(ierr); #if defined PETSC_USE_LOG ierr = PetscLogEventEnd(gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); #endif /* smooth aggs */ ierr = smoothAggs( Gmat2, Gmat1, selected, llist_parent ); CHKERRQ(ierr); ierr = MatDestroy( &Gmat1 ); CHKERRQ(ierr); *a_selected = selected; *a_llist_parent = llist_parent; PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCGAMGprolongator_AGG Input Parameter: . pc - this . Amat - matrix on this fine level . Graph - used to get ghost data for nodes in . selected - [nselected inc. chosts] . llist_parent - [nloc + Gmat.nghost] linked list Output Parameter: . a_P_out - prolongation operator to the next level */ #undef __FUNCT__ #define __FUNCT__ "PCGAMGprolongator_AGG" PetscErrorCode PCGAMGprolongator_AGG( PC pc, const Mat Amat, const Mat Gmat, IS selected, IS llist_parent, Mat *a_P_out ) { PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; const PetscInt verbose = pc_gamg->verbose; const PetscInt data_cols = pc_gamg->data_cell_cols; PetscErrorCode ierr; PetscInt Istart,Iend,nloc,ii,jj,kk,my0,nLocalSelected,bs; Mat Prol; PetscMPIInt mype, npe; MPI_Comm wcomm = ((PetscObject)Amat)->comm; const PetscInt *selected_idx,*llist_idx,col_bs=data_cols; PetscReal *data_w_ghost; PetscInt myCrs0, nbnodes=0, *flid_fgid; PetscFunctionBegin; ierr = MPI_Comm_rank( wcomm, &mype); CHKERRQ(ierr); ierr = MPI_Comm_size( wcomm, &npe); CHKERRQ(ierr); ierr = MatGetOwnershipRange( Amat, &Istart, &Iend ); CHKERRQ(ierr); ierr = MatGetBlockSize( Amat, &bs ); CHKERRQ( ierr ); nloc = (Iend-Istart)/bs; my0 = Istart/bs; assert((Iend-Istart)%bs==0); /* get 'nLocalSelected' */ ierr = ISGetSize( selected, &kk ); CHKERRQ(ierr); ierr = ISGetIndices( selected, &selected_idx ); CHKERRQ(ierr); ierr = ISGetIndices( llist_parent, &llist_idx ); CHKERRQ(ierr); for(ii=0,nLocalSelected=0;ii 1) { /* */ PetscReal *tmp_gdata,*tmp_ldata,*tp2; ierr = PetscMalloc( nloc*sizeof(PetscReal), &tmp_ldata ); CHKERRQ(ierr); for( jj = 0 ; jj < data_cols ; jj++ ){ for( kk = 0 ; kk < bs ; kk++) { PetscInt ii,nnodes; const PetscReal *tp = pc_gamg->data + jj*bs*nloc + kk; for( ii = 0 ; ii < nloc ; ii++, tp += bs ){ tmp_ldata[ii] = *tp; } ierr = getDataWithGhosts( Gmat, 1, tmp_ldata, &nnodes, &tmp_gdata ); CHKERRQ(ierr); if(jj==0 && kk==0) { /* now I know how many todal nodes - allocate */ ierr = PetscMalloc( nnodes*bs*data_cols*sizeof(PetscReal), &data_w_ghost ); CHKERRQ(ierr); nbnodes = bs*nnodes; } tp2 = data_w_ghost + jj*bs*nnodes + kk; for( ii = 0 ; ii < nnodes ; ii++, tp2 += bs ){ *tp2 = tmp_gdata[ii]; } ierr = PetscFree( tmp_gdata ); CHKERRQ(ierr); } } ierr = PetscFree( tmp_ldata ); CHKERRQ(ierr); } else { nbnodes = bs*nloc; data_w_ghost = (PetscReal*)pc_gamg->data; } /* get P0 */ if( npe > 1 ){ PetscReal *fid_glid_loc,*fiddata; PetscInt nnodes; ierr = PetscMalloc( nloc*sizeof(PetscReal), &fid_glid_loc ); CHKERRQ(ierr); for(kk=0;kkdata ); CHKERRQ( ierr ); pc_gamg->data = data_out; pc_gamg->data_cell_rows = data_cols; pc_gamg->data_sz = data_cols*data_cols*nLocalSelected; } #if defined PETSC_USE_LOG ierr = PetscLogEventEnd(gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); #endif if (npe > 1) ierr = PetscFree( data_w_ghost ); CHKERRQ(ierr); ierr = PetscFree( flid_fgid ); CHKERRQ(ierr); /* attach block size of columns */ if( pc_gamg->col_bs_id == -1 ) { ierr = PetscObjectComposedDataRegister( &pc_gamg->col_bs_id ); assert(pc_gamg->col_bs_id != -1 ); } ierr = PetscObjectComposedDataSetInt( (PetscObject)Prol, pc_gamg->col_bs_id, data_cols ); CHKERRQ(ierr); *a_P_out = Prol; /* out */ PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCGAMGoptprol_AGG Input Parameter: . pc - this . Amat - matrix on this fine level In/Output Parameter: . a_P_out - prolongation operator to the next level */ #undef __FUNCT__ #define __FUNCT__ "PCGAMGoptprol_AGG" PetscErrorCode PCGAMGoptprol_AGG( PC pc, const Mat Amat, Mat *a_P ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; const PetscInt verbose = pc_gamg->verbose; PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; PetscInt jj; PetscMPIInt mype,npe; Mat Prol = *a_P; MPI_Comm wcomm = ((PetscObject)Amat)->comm; PetscFunctionBegin; ierr = MPI_Comm_rank( wcomm, &mype); CHKERRQ(ierr); ierr = MPI_Comm_size( wcomm, &npe); CHKERRQ(ierr); /* smooth P0 */ for( jj = 0 ; jj < pc_gamg_agg->nsmooths ; jj++ ){ Mat tMat; Vec diag; PetscReal alpha, emax, emin; #if defined PETSC_USE_LOG ierr = PetscLogEventBegin(gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); #endif if( jj == 0 ) { KSP eksp; Vec bb, xx; PC pc; ierr = MatGetVecs( Amat, &bb, 0 ); CHKERRQ(ierr); ierr = MatGetVecs( Amat, &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 = KSPAppendOptionsPrefix( eksp, "est_"); CHKERRQ(ierr); ierr = KSPSetFromOptions( eksp ); CHKERRQ(ierr); ierr = KSPSetInitialGuessNonzero( eksp, PETSC_FALSE ); CHKERRQ(ierr); ierr = KSPSetOperators( eksp, Amat, Amat, SAME_NONZERO_PATTERN ); CHKERRQ( ierr ); ierr = KSPGetPC( eksp, &pc ); CHKERRQ( ierr ); ierr = PCSetType( pc, PCJACOBI ); CHKERRQ(ierr); /* smoother */ ierr = KSPSetTolerances(eksp,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT,10); CHKERRQ(ierr); ierr = KSPSetNormType( eksp, KSP_NORM_NONE ); CHKERRQ(ierr); ierr = KSPSetComputeSingularValues( eksp,PETSC_TRUE ); 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); if( verbose ) { PetscPrintf(wcomm,"\t\t\t%s smooth P0: max eigen=%e min=%e PC=%s\n", __FUNCT__,emax,emin,PCJACOBI); } ierr = VecDestroy( &xx ); CHKERRQ(ierr); ierr = VecDestroy( &bb ); CHKERRQ(ierr); ierr = KSPDestroy( &eksp ); CHKERRQ(ierr); if( pc_gamg->emax_id == -1 ) { ierr = PetscObjectComposedDataRegister( &pc_gamg->emax_id ); assert(pc_gamg->emax_id != -1 ); } ierr = PetscObjectComposedDataSetScalar( (PetscObject)Amat, pc_gamg->emax_id, emax ); CHKERRQ(ierr); } /* smooth P1 := (I - omega/lam D^{-1}A)P0 */ ierr = MatMatMult( Amat, Prol, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &tMat ); CHKERRQ(ierr); ierr = MatGetVecs( Amat, &diag, 0 ); CHKERRQ(ierr); ierr = MatGetDiagonal( Amat, diag ); CHKERRQ(ierr); /* effectively PCJACOBI */ ierr = VecReciprocal( diag ); CHKERRQ(ierr); ierr = MatDiagonalScale( tMat, diag, 0 ); CHKERRQ(ierr); ierr = VecDestroy( &diag ); CHKERRQ(ierr); alpha = -1.5/emax; ierr = MatAYPX( tMat, alpha, Prol, SUBSET_NONZERO_PATTERN ); CHKERRQ(ierr); ierr = MatDestroy( &Prol ); CHKERRQ(ierr); Prol = tMat; #if defined PETSC_USE_LOG ierr = PetscLogEventEnd(gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); #endif } *a_P = Prol; PetscFunctionReturn(0); } /* -------------------------------------------------------------------------- */ /* PCCreateGAMG_AGG Input Parameter: . pc - */ #undef __FUNCT__ #define __FUNCT__ "PCCreateGAMG_AGG" PetscErrorCode PCCreateGAMG_AGG( PC pc ) { PetscErrorCode ierr; PC_MG *mg = (PC_MG*)pc->data; PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; PC_GAMG_AGG *pc_gamg_agg; PetscFunctionBegin; /* create sub context for SA */ ierr = PetscNewLog( pc, PC_GAMG_AGG, &pc_gamg_agg ); CHKERRQ(ierr); assert(!pc_gamg->subctx); pc_gamg->subctx = pc_gamg_agg; pc->ops->setfromoptions = PCSetFromOptions_GAMG_AGG; pc->ops->destroy = PCDestroy_AGG; /* reset does not do anything; setup not virtual */ /* set internal function pointers */ pc_gamg->graph = PCGAMGgraph_AGG; pc_gamg->coarsen = PCGAMGCoarsen_AGG; pc_gamg->prolongator = PCGAMGprolongator_AGG; pc_gamg->optprol = PCGAMGoptprol_AGG; pc_gamg->createdefaultdata = PCSetData_AGG; ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, "PCSetCoordinates_C", "PCSetCoordinates_AGG", PCSetCoordinates_AGG); PetscFunctionReturn(0); }