1 /* 2 GAMG geometric-algebric multigrid PC - Mark Adams 2011 3 */ 4 #include "petsc-private/matimpl.h" 5 #include <../src/ksp/pc/impls/gamg/gamg.h> /*I "petscpc.h" I*/ 6 #include <petsc-private/kspimpl.h> 7 8 #if defined PETSC_GAMG_USE_LOG 9 PetscLogEvent petsc_gamg_setup_events[NUM_SET]; 10 #endif 11 12 #if defined PETSC_USE_LOG 13 PetscLogEvent PC_GAMGGgraph_AGG; 14 PetscLogEvent PC_GAMGGgraph_GEO; 15 PetscLogEvent PC_GAMGCoarsen_AGG; 16 PetscLogEvent PC_GAMGCoarsen_GEO; 17 PetscLogEvent PC_GAMGProlongator_AGG; 18 PetscLogEvent PC_GAMGProlongator_GEO; 19 PetscLogEvent PC_GAMGOptprol_AGG; 20 PetscLogEvent PC_GAMGKKTProl_AGG; 21 #endif 22 23 #define GAMG_MAXLEVELS 30 24 25 /* #define GAMG_STAGES */ 26 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 27 static PetscLogStage gamg_stages[GAMG_MAXLEVELS]; 28 #endif 29 30 static PetscFList GAMGList = 0; 31 32 /* ----------------------------------------------------------------------------- */ 33 #undef __FUNCT__ 34 #define __FUNCT__ "PCReset_GAMG" 35 PetscErrorCode PCReset_GAMG(PC pc) 36 { 37 PetscErrorCode ierr; 38 PC_MG *mg = (PC_MG*)pc->data; 39 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 40 41 PetscFunctionBegin; 42 if( pc_gamg->data ) { /* this should not happen, cleaned up in SetUp */ 43 ierr = PetscFree( pc_gamg->data ); CHKERRQ(ierr); 44 } 45 pc_gamg->data = PETSC_NULL; pc_gamg->data_sz = 0; 46 PetscFunctionReturn(0); 47 } 48 49 /* private 2x2 Mat Nest for Stokes */ 50 typedef struct{ 51 Mat A11,A21,A12,Amat; 52 IS prim_is,constr_is; 53 }GAMGKKTMat; 54 55 #undef __FUNCT__ 56 #define __FUNCT__ "GAMGKKTMatCreate" 57 static PetscErrorCode GAMGKKTMatCreate( Mat A, PetscBool iskkt, GAMGKKTMat *out ) 58 { 59 PetscFunctionBegin; 60 out->Amat = A; 61 if( iskkt ){ 62 PetscErrorCode ierr; 63 IS is_constraint, is_prime; 64 PetscInt nmin,nmax; 65 66 ierr = MatGetOwnershipRange( A, &nmin, &nmax ); CHKERRQ(ierr); 67 ierr = MatFindZeroDiagonals( A, &is_constraint ); CHKERRQ(ierr); 68 ierr = ISComplement( is_constraint, nmin, nmax, &is_prime ); CHKERRQ(ierr); 69 out->prim_is = is_prime; 70 out->constr_is = is_constraint; 71 72 ierr = MatGetSubMatrix( A, is_prime, is_prime, MAT_INITIAL_MATRIX, &out->A11); CHKERRQ(ierr); 73 ierr = MatGetSubMatrix( A, is_prime, is_constraint, MAT_INITIAL_MATRIX, &out->A12); CHKERRQ(ierr); 74 ierr = MatGetSubMatrix( A, is_constraint, is_prime, MAT_INITIAL_MATRIX, &out->A21); CHKERRQ(ierr); 75 PetscPrintf(((PetscObject)A)->comm,"[%d]%s N=%d N_11=%d\n",0,__FUNCT__,A->rmap->N,out->A11->rmap->N); 76 } 77 else { 78 out->A11 = A; 79 out->A21 = PETSC_NULL; 80 out->A12 = PETSC_NULL; 81 out->prim_is = PETSC_NULL; 82 out->constr_is = PETSC_NULL; 83 } 84 PetscFunctionReturn(0); 85 } 86 87 #undef __FUNCT__ 88 #define __FUNCT__ "GAMGKKTMatDestroy" 89 static PetscErrorCode GAMGKKTMatDestroy( GAMGKKTMat *mat ) 90 { 91 PetscErrorCode ierr; 92 93 PetscFunctionBegin; 94 if( mat->A11 && mat->A11 != mat->Amat ) { 95 ierr = MatDestroy( &mat->A11 ); CHKERRQ(ierr); 96 } 97 ierr = MatDestroy( &mat->A21 ); CHKERRQ(ierr); 98 ierr = MatDestroy( &mat->A12 ); CHKERRQ(ierr); 99 100 ierr = ISDestroy( &mat->prim_is ); CHKERRQ(ierr); 101 ierr = ISDestroy( &mat->constr_is ); CHKERRQ(ierr); 102 103 PetscFunctionReturn(0); 104 } 105 106 /* -------------------------------------------------------------------------- */ 107 /* 108 createLevel: create coarse op with RAP. repartition and/or reduce number 109 of active processors. 110 111 Input Parameter: 112 . pc - parameters + side effect: coarse data in 'pc_gamg->data' and 113 'pc_gamg->data_sz' are changed via repartitioning/reduction. 114 . Amat_fine - matrix on this fine (k) level 115 . cr_bs - coarse block size 116 . isLast - 117 . stokes - 118 In/Output Parameter: 119 . a_P_inout - prolongation operator to the next level (k-->k-1) 120 . a_nactive_proc - number of active procs 121 Output Parameter: 122 . a_Amat_crs - coarse matrix that is created (k-1) 123 */ 124 125 #undef __FUNCT__ 126 #define __FUNCT__ "createLevel" 127 static PetscErrorCode createLevel( const PC pc, 128 const Mat Amat_fine, 129 const PetscInt cr_bs, 130 const PetscBool isLast, 131 const PetscBool stokes, 132 Mat *a_P_inout, 133 Mat *a_Amat_crs, 134 PetscMPIInt *a_nactive_proc 135 ) 136 { 137 PetscErrorCode ierr; 138 PC_MG *mg = (PC_MG*)pc->data; 139 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 140 const PetscBool repart = pc_gamg->repart; 141 const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; 142 Mat Cmat,Pold=*a_P_inout; 143 MPI_Comm wcomm = ((PetscObject)Amat_fine)->comm; 144 PetscMPIInt mype,npe,new_npe,nactive=*a_nactive_proc; 145 PetscInt ncrs_eq,ncrs_prim,f_bs; 146 147 PetscFunctionBegin; 148 ierr = MPI_Comm_rank( wcomm, &mype ); CHKERRQ(ierr); 149 ierr = MPI_Comm_size( wcomm, &npe ); CHKERRQ(ierr); 150 ierr = MatGetBlockSize( Amat_fine, &f_bs ); CHKERRQ(ierr); 151 /* RAP */ 152 ierr = MatPtAP( Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat ); CHKERRQ(ierr); 153 154 /* set 'ncrs_prim' (nodes), 'ncrs_eq' (equations)*/ 155 ncrs_prim = pc_gamg->data_sz/pc_gamg->data_cell_cols/pc_gamg->data_cell_rows; 156 assert(pc_gamg->data_sz%(pc_gamg->data_cell_cols*pc_gamg->data_cell_rows)==0); 157 ierr = MatGetLocalSize( Cmat, &ncrs_eq, PETSC_NULL ); CHKERRQ(ierr); 158 159 /* get number of PEs to make active 'new_npe', reduce, can be any integer 1-P */ 160 { 161 PetscInt ncrs_eq_glob; 162 ierr = MatGetSize( Cmat, &ncrs_eq_glob, PETSC_NULL ); CHKERRQ(ierr); 163 new_npe = (PetscMPIInt)((float)ncrs_eq_glob/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ 164 if( new_npe == 0 || ncrs_eq_glob < coarse_max ) new_npe = 1; 165 else if ( new_npe >= nactive ) new_npe = nactive; /* no change, rare */ 166 if( isLast ) new_npe = 1; 167 } 168 169 if( !repart && new_npe==nactive ) { 170 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction - could bail here */ 171 } 172 else { 173 const PetscInt *idx,ndata_rows=pc_gamg->data_cell_rows,ndata_cols=pc_gamg->data_cell_cols,node_data_sz=ndata_rows*ndata_cols; 174 PetscInt *counts,*newproc_idx,ii,jj,kk,strideNew,*tidx,ncrs_prim_new,ncrs_eq_new,nloc_old; 175 IS is_eq_newproc,is_eq_newproc_prim,is_eq_num,is_eq_num_prim,isscat,new_eq_indices; 176 VecScatter vecscat; 177 PetscScalar *array; 178 Vec src_crd, dest_crd; 179 180 nloc_old = ncrs_eq/cr_bs; assert(ncrs_eq%cr_bs==0); 181 #if defined PETSC_GAMG_USE_LOG 182 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 183 #endif 184 /* make 'is_eq_newproc' */ 185 ierr = PetscMalloc( npe*sizeof(PetscInt), &counts ); CHKERRQ(ierr); 186 if( repart && !stokes ) { 187 /* Repartition Cmat_{k} and move colums of P^{k}_{k-1} and coordinates of primal part accordingly */ 188 Mat adj; 189 190 if (pc_gamg->verbose>0) { 191 if (pc_gamg->verbose==1) PetscPrintf(wcomm,"\t[%d]%s repartition: npe (active): %d --> %d, neq = %d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,ncrs_eq); 192 else { 193 PetscInt n; 194 ierr = MPI_Allreduce( &ncrs_eq, &n, 1, MPIU_INT, MPI_SUM, wcomm );CHKERRQ(ierr); 195 PetscPrintf(wcomm,"\t[%d]%s repartition: npe (active): %d --> %d, neq = %d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,n); 196 } 197 } 198 199 /* get 'adj' */ 200 if( cr_bs == 1 ) { 201 ierr = MatConvert( Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj ); CHKERRQ(ierr); 202 } 203 else{ 204 /* make a scalar matrix to partition (no Stokes here) */ 205 Mat tMat; 206 PetscInt Istart_crs,Iend_crs,ncols,jj,Ii; 207 const PetscScalar *vals; 208 const PetscInt *idx; 209 PetscInt *d_nnz, *o_nnz, M, N; 210 static PetscInt llev = 0; 211 212 ierr = PetscMalloc( ncrs_prim*sizeof(PetscInt), &d_nnz ); CHKERRQ(ierr); 213 ierr = PetscMalloc( ncrs_prim*sizeof(PetscInt), &o_nnz ); CHKERRQ(ierr); 214 ierr = MatGetOwnershipRange( Cmat, &Istart_crs, &Iend_crs ); CHKERRQ(ierr); 215 ierr = MatGetSize( Cmat, &M, &N );CHKERRQ(ierr); 216 for ( Ii = Istart_crs, jj = 0 ; Ii < Iend_crs ; Ii += cr_bs, jj++ ) { 217 ierr = MatGetRow(Cmat,Ii,&ncols,0,0); CHKERRQ(ierr); 218 d_nnz[jj] = ncols/cr_bs; 219 o_nnz[jj] = ncols/cr_bs; 220 ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0); CHKERRQ(ierr); 221 if( d_nnz[jj] > ncrs_prim ) d_nnz[jj] = ncrs_prim; 222 if( o_nnz[jj] > (M/cr_bs-ncrs_prim) ) o_nnz[jj] = M/cr_bs-ncrs_prim; 223 } 224 225 ierr = MatCreate( wcomm, &tMat ); CHKERRQ(ierr); 226 ierr = MatSetSizes( tMat, ncrs_prim, ncrs_prim, 227 PETSC_DETERMINE, PETSC_DETERMINE ); 228 CHKERRQ(ierr); 229 ierr = MatSetType(tMat,MATAIJ); CHKERRQ(ierr); 230 ierr = MatSeqAIJSetPreallocation(tMat,0,d_nnz);CHKERRQ(ierr); 231 ierr = MatMPIAIJSetPreallocation(tMat,0,d_nnz,0,o_nnz);CHKERRQ(ierr); 232 ierr = PetscFree( d_nnz ); CHKERRQ(ierr); 233 ierr = PetscFree( o_nnz ); CHKERRQ(ierr); 234 235 for ( ii = Istart_crs; ii < Iend_crs; ii++ ) { 236 PetscInt dest_row = ii/cr_bs; 237 ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals); CHKERRQ(ierr); 238 for( jj = 0 ; jj < ncols ; jj++ ){ 239 PetscInt dest_col = idx[jj]/cr_bs; 240 PetscScalar v = 1.0; 241 ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES); CHKERRQ(ierr); 242 } 243 ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals); CHKERRQ(ierr); 244 } 245 ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 246 ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 247 248 if( llev++ == -1 ) { 249 PetscViewer viewer; char fname[32]; 250 ierr = PetscSNPrintf(fname,sizeof fname,"part_mat_%D.mat",llev);CHKERRQ(ierr); 251 PetscViewerBinaryOpen(wcomm,fname,FILE_MODE_WRITE,&viewer); 252 ierr = MatView( tMat, viewer ); CHKERRQ(ierr); 253 ierr = PetscViewerDestroy( &viewer ); 254 } 255 256 ierr = MatConvert( tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj ); CHKERRQ(ierr); 257 258 ierr = MatDestroy( &tMat ); CHKERRQ(ierr); 259 } /* create 'adj' */ 260 261 { /* partition: get newproc_idx */ 262 char prefix[256]; 263 const char *pcpre; 264 const PetscInt *is_idx; 265 MatPartitioning mpart; 266 IS proc_is; 267 PetscInt targetPE; 268 269 ierr = MatPartitioningCreate( wcomm, &mpart ); CHKERRQ(ierr); 270 ierr = MatPartitioningSetAdjacency( mpart, adj ); CHKERRQ(ierr); 271 ierr = PCGetOptionsPrefix( pc, &pcpre );CHKERRQ(ierr); 272 ierr = PetscSNPrintf(prefix,sizeof prefix,"%spc_gamg_",pcpre?pcpre:"");CHKERRQ(ierr); 273 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 274 ierr = MatPartitioningSetFromOptions( mpart ); CHKERRQ(ierr); 275 ierr = MatPartitioningSetNParts( mpart, new_npe );CHKERRQ(ierr); 276 ierr = MatPartitioningApply( mpart, &proc_is ); CHKERRQ(ierr); 277 ierr = MatPartitioningDestroy( &mpart ); CHKERRQ(ierr); 278 279 /* collect IS info */ 280 ierr = PetscMalloc( ncrs_eq*sizeof(PetscInt), &newproc_idx ); CHKERRQ(ierr); 281 ierr = ISGetIndices( proc_is, &is_idx ); CHKERRQ(ierr); 282 targetPE = 1; /* bring to "front" of machine */ 283 /*targetPE = npe/new_npe;*/ /* spread partitioning across machine */ 284 for( kk = jj = 0 ; kk < nloc_old ; kk++ ){ 285 for( ii = 0 ; ii < cr_bs ; ii++, jj++ ){ 286 newproc_idx[jj] = is_idx[kk] * targetPE; /* distribution */ 287 } 288 } 289 ierr = ISRestoreIndices( proc_is, &is_idx ); CHKERRQ(ierr); 290 ierr = ISDestroy( &proc_is ); CHKERRQ(ierr); 291 } 292 ierr = MatDestroy( &adj ); CHKERRQ(ierr); 293 294 ierr = ISCreateGeneral( wcomm, ncrs_eq, newproc_idx, PETSC_COPY_VALUES, &is_eq_newproc ); 295 CHKERRQ(ierr); 296 if( newproc_idx != 0 ) { 297 ierr = PetscFree( newproc_idx ); CHKERRQ(ierr); 298 } 299 } /* repartitioning */ 300 else { /* simple aggreagtion of parts -- 'is_eq_newproc' */ 301 302 PetscInt rfactor,targetPE; 303 /* find factor */ 304 if( new_npe == 1 ) rfactor = npe; /* easy */ 305 else { 306 PetscReal best_fact = 0.; 307 jj = -1; 308 for( kk = 1 ; kk <= npe ; kk++ ){ 309 if( npe%kk==0 ) { /* a candidate */ 310 PetscReal nactpe = (PetscReal)npe/(PetscReal)kk, fact = nactpe/(PetscReal)new_npe; 311 if(fact > 1.0) fact = 1./fact; /* keep fact < 1 */ 312 if( fact > best_fact ) { 313 best_fact = fact; jj = kk; 314 } 315 } 316 } 317 if( jj != -1 ) rfactor = jj; 318 else rfactor = 1; /* does this happen .. a prime */ 319 } 320 new_npe = npe/rfactor; 321 322 if( new_npe==nactive ) { 323 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction, bail out because nested here */ 324 ierr = PetscFree( counts ); CHKERRQ(ierr); 325 if (pc_gamg->verbose>0){ 326 PetscPrintf(wcomm,"\t[%d]%s aggregate processors noop: new_npe=%d, neq(loc)=%d\n",mype,__FUNCT__,new_npe,ncrs_eq); 327 } 328 PetscFunctionReturn(0); 329 } 330 331 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s number of equations (loc) %d with simple aggregation\n",mype,__FUNCT__,ncrs_eq); 332 targetPE = mype/rfactor; 333 ierr = ISCreateStride( wcomm, ncrs_eq, targetPE, 0, &is_eq_newproc ); CHKERRQ(ierr); 334 335 if( stokes ) { 336 ierr = ISCreateStride( wcomm, ncrs_prim*cr_bs, targetPE, 0, &is_eq_newproc_prim ); CHKERRQ(ierr); 337 } 338 } /* end simple 'is_eq_newproc' */ 339 340 /* 341 Create an index set from the is_eq_newproc index set to indicate the mapping TO 342 */ 343 ierr = ISPartitioningToNumbering( is_eq_newproc, &is_eq_num ); CHKERRQ(ierr); 344 if( stokes ) { 345 ierr = ISPartitioningToNumbering( is_eq_newproc_prim, &is_eq_num_prim ); CHKERRQ(ierr); 346 } 347 else is_eq_num_prim = is_eq_num; 348 /* 349 Determine how many equations/vertices are assigned to each processor 350 */ 351 ierr = ISPartitioningCount( is_eq_newproc, npe, counts ); CHKERRQ(ierr); 352 ncrs_eq_new = counts[mype]; 353 ierr = ISDestroy( &is_eq_newproc ); CHKERRQ(ierr); 354 if( stokes ) { 355 ierr = ISPartitioningCount( is_eq_newproc_prim, npe, counts ); CHKERRQ(ierr); 356 ierr = ISDestroy( &is_eq_newproc_prim ); CHKERRQ(ierr); 357 ncrs_prim_new = counts[mype]/cr_bs; /* nodes */ 358 } 359 else ncrs_prim_new = ncrs_eq_new/cr_bs; /* eqs */ 360 361 ierr = PetscFree( counts ); CHKERRQ(ierr); 362 #if defined PETSC_GAMG_USE_LOG 363 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0); CHKERRQ(ierr); 364 #endif 365 366 /* move data (for primal equations only) */ 367 /* Create a vector to contain the newly ordered element information */ 368 ierr = VecCreate( wcomm, &dest_crd ); 369 ierr = VecSetSizes( dest_crd, node_data_sz*ncrs_prim_new, PETSC_DECIDE ); CHKERRQ(ierr); 370 ierr = VecSetFromOptions( dest_crd ); CHKERRQ(ierr); /* this is needed! */ 371 /* 372 There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having 373 a block size of ...). Note, ISs are expanded into equation space by 'cr_bs'. 374 */ 375 ierr = PetscMalloc( (ncrs_prim*node_data_sz)*sizeof(PetscInt), &tidx ); CHKERRQ(ierr); 376 ierr = ISGetIndices( is_eq_num_prim, &idx ); CHKERRQ(ierr); 377 for(ii=0,jj=0; ii<ncrs_prim ; ii++) { 378 PetscInt id = idx[ii*cr_bs]/cr_bs; /* get node back */ 379 for( kk=0; kk<node_data_sz ; kk++, jj++) tidx[jj] = id*node_data_sz + kk; 380 } 381 ierr = ISRestoreIndices( is_eq_num_prim, &idx ); CHKERRQ(ierr); 382 ierr = ISCreateGeneral( wcomm, node_data_sz*ncrs_prim, tidx, PETSC_COPY_VALUES, &isscat ); 383 CHKERRQ(ierr); 384 ierr = PetscFree( tidx ); CHKERRQ(ierr); 385 /* 386 Create a vector to contain the original vertex information for each element 387 */ 388 ierr = VecCreateSeq( PETSC_COMM_SELF, node_data_sz*ncrs_prim, &src_crd ); CHKERRQ(ierr); 389 for( jj=0; jj<ndata_cols ; jj++ ) { 390 const PetscInt stride0=ncrs_prim*pc_gamg->data_cell_rows; 391 for( ii=0 ; ii<ncrs_prim ; ii++) { 392 for( kk=0; kk<ndata_rows ; kk++ ) { 393 PetscInt ix = ii*ndata_rows + kk + jj*stride0, jx = ii*node_data_sz + kk*ndata_cols + jj; 394 PetscScalar tt = (PetscScalar)pc_gamg->data[ix]; 395 ierr = VecSetValues( src_crd, 1, &jx, &tt, INSERT_VALUES ); CHKERRQ(ierr); 396 } 397 } 398 } 399 ierr = VecAssemblyBegin(src_crd); CHKERRQ(ierr); 400 ierr = VecAssemblyEnd(src_crd); CHKERRQ(ierr); 401 /* 402 Scatter the element vertex information (still in the original vertex ordering) 403 to the correct processor 404 */ 405 ierr = VecScatterCreate( src_crd, PETSC_NULL, dest_crd, isscat, &vecscat); 406 CHKERRQ(ierr); 407 ierr = ISDestroy( &isscat ); CHKERRQ(ierr); 408 ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 409 ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 410 ierr = VecScatterDestroy( &vecscat ); CHKERRQ(ierr); 411 ierr = VecDestroy( &src_crd ); CHKERRQ(ierr); 412 /* 413 Put the element vertex data into a new allocation of the gdata->ele 414 */ 415 ierr = PetscFree( pc_gamg->data ); CHKERRQ(ierr); 416 ierr = PetscMalloc( node_data_sz*ncrs_prim_new*sizeof(PetscReal), &pc_gamg->data ); CHKERRQ(ierr); 417 pc_gamg->data_sz = node_data_sz*ncrs_prim_new; 418 strideNew = ncrs_prim_new*ndata_rows; 419 ierr = VecGetArray( dest_crd, &array ); CHKERRQ(ierr); 420 for( jj=0; jj<ndata_cols ; jj++ ) { 421 for( ii=0 ; ii<ncrs_prim_new ; ii++) { 422 for( kk=0; kk<ndata_rows ; kk++ ) { 423 PetscInt ix = ii*ndata_rows + kk + jj*strideNew, jx = ii*node_data_sz + kk*ndata_cols + jj; 424 pc_gamg->data[ix] = PetscRealPart(array[jx]); 425 } 426 } 427 } 428 ierr = VecRestoreArray( dest_crd, &array ); CHKERRQ(ierr); 429 ierr = VecDestroy( &dest_crd ); CHKERRQ(ierr); 430 431 /* move A and P (columns) with new layout */ 432 #if defined PETSC_GAMG_USE_LOG 433 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 434 #endif 435 436 /* 437 Invert for MatGetSubMatrix 438 */ 439 ierr = ISInvertPermutation( is_eq_num, ncrs_eq_new, &new_eq_indices ); CHKERRQ(ierr); 440 ierr = ISSort( new_eq_indices ); CHKERRQ(ierr); /* is this needed? */ 441 ierr = ISSetBlockSize( new_eq_indices, cr_bs ); CHKERRQ(ierr); 442 if(is_eq_num != is_eq_num_prim) { 443 ierr = ISDestroy( &is_eq_num_prim ); CHKERRQ(ierr); /* could be same as 'is_eq_num' */ 444 } 445 ierr = ISDestroy( &is_eq_num ); CHKERRQ(ierr); 446 #if defined PETSC_GAMG_USE_LOG 447 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 448 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 449 #endif 450 /* 'a_Amat_crs' output */ 451 { 452 Mat mat; 453 ierr = MatGetSubMatrix( Cmat, new_eq_indices, new_eq_indices, MAT_INITIAL_MATRIX, &mat ); 454 CHKERRQ(ierr); 455 *a_Amat_crs = mat; 456 457 if(!PETSC_TRUE){ 458 PetscInt cbs, rbs; 459 ierr = MatGetBlockSizes( Cmat, &rbs, &cbs ); CHKERRQ(ierr); 460 PetscPrintf(MPI_COMM_SELF,"[%d]%s Old Mat rbs=%d cbs=%d\n",mype,__FUNCT__,rbs,cbs); 461 ierr = MatGetBlockSizes( mat, &rbs, &cbs ); CHKERRQ(ierr); 462 PetscPrintf(MPI_COMM_SELF,"[%d]%s New Mat rbs=%d cbs=%d cr_bs=%d\n",mype,__FUNCT__,rbs,cbs,cr_bs); 463 } 464 } 465 ierr = MatDestroy( &Cmat ); CHKERRQ(ierr); 466 467 #if defined PETSC_GAMG_USE_LOG 468 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 469 #endif 470 /* prolongator */ 471 { 472 IS findices; 473 PetscInt Istart,Iend; 474 Mat Pnew; 475 ierr = MatGetOwnershipRange( Pold, &Istart, &Iend ); CHKERRQ(ierr); 476 #if defined PETSC_GAMG_USE_LOG 477 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 478 #endif 479 ierr = ISCreateStride(wcomm,Iend-Istart,Istart,1,&findices); CHKERRQ(ierr); 480 ierr = ISSetBlockSize(findices,f_bs); CHKERRQ(ierr); 481 ierr = MatGetSubMatrix( Pold, findices, new_eq_indices, MAT_INITIAL_MATRIX, &Pnew ); 482 CHKERRQ(ierr); 483 ierr = ISDestroy( &findices ); CHKERRQ(ierr); 484 485 if(!PETSC_TRUE){ 486 PetscInt cbs, rbs; 487 ierr = MatGetBlockSizes( Pold, &rbs, &cbs ); CHKERRQ(ierr); 488 PetscPrintf(MPI_COMM_SELF,"[%d]%s Pold rbs=%d cbs=%d\n",mype,__FUNCT__,rbs,cbs); 489 ierr = MatGetBlockSizes( Pnew, &rbs, &cbs ); CHKERRQ(ierr); 490 PetscPrintf(MPI_COMM_SELF,"[%d]%s Pnew rbs=%d cbs=%d\n",mype,__FUNCT__,rbs,cbs); 491 } 492 #if defined PETSC_GAMG_USE_LOG 493 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 494 #endif 495 ierr = MatDestroy( a_P_inout ); CHKERRQ(ierr); 496 497 /* output - repartitioned */ 498 *a_P_inout = Pnew; 499 } 500 ierr = ISDestroy( &new_eq_indices ); CHKERRQ(ierr); 501 502 *a_nactive_proc = new_npe; /* output */ 503 } 504 505 /* outout matrix data */ 506 if( !PETSC_TRUE ) { 507 PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; 508 if(llev==0) { 509 sprintf(fname,"Cmat_%d.m",llev++); 510 PetscViewerASCIIOpen(wcomm,fname,&viewer); 511 ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); 512 ierr = MatView(Amat_fine, viewer ); CHKERRQ(ierr); 513 ierr = PetscViewerDestroy( &viewer ); 514 } 515 sprintf(fname,"Cmat_%d.m",llev++); 516 PetscViewerASCIIOpen(wcomm,fname,&viewer); 517 ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); 518 ierr = MatView(Cmat, viewer ); CHKERRQ(ierr); 519 ierr = PetscViewerDestroy( &viewer ); 520 } 521 522 PetscFunctionReturn(0); 523 } 524 525 /* -------------------------------------------------------------------------- */ 526 /* 527 PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner 528 by setting data structures and options. 529 530 Input Parameter: 531 . pc - the preconditioner context 532 533 Application Interface Routine: PCSetUp() 534 535 Notes: 536 The interface routine PCSetUp() is not usually called directly by 537 the user, but instead is called by PCApply() if necessary. 538 */ 539 #undef __FUNCT__ 540 #define __FUNCT__ "PCSetUp_GAMG" 541 PetscErrorCode PCSetUp_GAMG( PC pc ) 542 { 543 PetscErrorCode ierr; 544 PC_MG *mg = (PC_MG*)pc->data; 545 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 546 Mat Pmat = pc->pmat; 547 PetscInt fine_level,level,level1,bs,M,qq,lidx,nASMBlocksArr[GAMG_MAXLEVELS]; 548 MPI_Comm wcomm = ((PetscObject)pc)->comm; 549 PetscMPIInt mype,npe,nactivepe; 550 Mat Aarr[GAMG_MAXLEVELS],Parr[GAMG_MAXLEVELS]; 551 PetscReal emaxs[GAMG_MAXLEVELS]; 552 IS *ASMLocalIDsArr[GAMG_MAXLEVELS],removedEqs[GAMG_MAXLEVELS]; 553 PetscInt level_bs[GAMG_MAXLEVELS]; 554 GAMGKKTMat kktMatsArr[GAMG_MAXLEVELS]; 555 PetscLogDouble nnz0=0.,nnztot=0.; 556 MatInfo info; 557 PetscBool stokes = PETSC_FALSE; 558 559 PetscFunctionBegin; 560 ierr = MPI_Comm_rank(wcomm,&mype);CHKERRQ(ierr); 561 ierr = MPI_Comm_size(wcomm,&npe);CHKERRQ(ierr); 562 if (pc_gamg->verbose>2) PetscPrintf(wcomm,"[%d]%s pc_gamg->setup_count=%d pc->setupcalled=%d\n",mype,__FUNCT__,pc_gamg->setup_count,pc->setupcalled); 563 if( pc_gamg->setup_count++ > 0 ) { 564 PC_MG_Levels **mglevels = mg->levels; 565 /* just do Galerkin grids */ 566 Mat B,dA,dB; 567 assert(pc->setupcalled); 568 569 if( pc_gamg->Nlevels > 1 ) { 570 /* currently only handle case where mat and pmat are the same on coarser levels */ 571 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); 572 /* (re)set to get dirty flag */ 573 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 574 575 for (level=pc_gamg->Nlevels-2; level>-1; level--) { 576 /* the first time through the matrix structure has changed from repartitioning */ 577 if( pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { 578 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 579 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 580 mglevels[level]->A = B; 581 } 582 else { 583 ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); 584 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 585 } 586 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN); CHKERRQ(ierr); 587 dB = B; 588 } 589 } 590 591 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 592 593 /* PCSetUp_MG seems to insists on setting this to GMRES */ 594 ierr = KSPSetType( mglevels[0]->smoothd, KSPPREONLY ); CHKERRQ(ierr); 595 596 PetscFunctionReturn(0); 597 } 598 assert(pc->setupcalled == 0); 599 600 ierr = PetscOptionsGetBool(((PetscObject)pc)->prefix,"-pc_fieldsplit_detect_saddle_point",&stokes,PETSC_NULL);CHKERRQ(ierr); 601 602 ierr = GAMGKKTMatCreate( Pmat, stokes, &kktMatsArr[0] ); CHKERRQ(ierr); 603 604 if( pc_gamg->data == 0 ) { 605 if( !pc_gamg->createdefaultdata ){ 606 SETERRQ(wcomm,PETSC_ERR_PLIB,"'createdefaultdata' not set(?) need to support NULL data"); 607 } 608 if( stokes ) { 609 SETERRQ(wcomm,PETSC_ERR_PLIB,"Need data (eg, PCSetCoordinates) for Stokes problems"); 610 } 611 ierr = pc_gamg->createdefaultdata( pc, kktMatsArr[0].A11 ); CHKERRQ(ierr); 612 } 613 614 /* get basic dims */ 615 if( stokes ) { 616 bs = pc_gamg->data_cell_rows; /* this is agg-mg specific */ 617 } 618 else { 619 ierr = MatGetBlockSize( Pmat, &bs ); CHKERRQ(ierr); 620 } 621 622 ierr = MatGetSize( Pmat, &M, &qq );CHKERRQ(ierr); 623 if (pc_gamg->verbose) { 624 if(pc_gamg->verbose==1) ierr = MatGetInfo(Pmat,MAT_LOCAL,&info); 625 else ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info); 626 CHKERRQ(ierr); 627 nnz0 = info.nz_used; 628 nnztot = info.nz_used; 629 PetscPrintf(wcomm,"\t[%d]%s level %d N=%d, n data rows=%d, n data cols=%d, nnz/row (ave)=%d, np=%d\n", 630 mype,__FUNCT__,0,M,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 631 (int)(nnz0/(PetscReal)M),npe); 632 } 633 634 /* Get A_i and R_i */ 635 for ( level=0, Aarr[0]=Pmat, nactivepe = npe; /* hard wired stopping logic */ 636 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (npe==1 || nactivepe>1); */ 637 level++ ){ 638 level1 = level + 1; 639 #if defined PETSC_GAMG_USE_LOG 640 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0); CHKERRQ(ierr); 641 #if (defined GAMG_STAGES) 642 ierr = PetscLogStagePush(gamg_stages[level]); CHKERRQ( ierr ); 643 #endif 644 #endif 645 /* deal with Stokes, get sub matrices */ 646 if( level > 0 ) { 647 ierr = GAMGKKTMatCreate( Aarr[level], stokes, &kktMatsArr[level] ); CHKERRQ(ierr); 648 } 649 { /* construct prolongator */ 650 Mat Gmat; 651 PetscCoarsenData *agg_lists; 652 Mat Prol11,Prol22; 653 654 level_bs[level] = bs; 655 ierr = pc_gamg->graph( pc,kktMatsArr[level].A11, &Gmat ); CHKERRQ(ierr); 656 ierr = pc_gamg->coarsen( pc, &Gmat, &agg_lists ); CHKERRQ(ierr); 657 ierr = pc_gamg->prolongator( pc, kktMatsArr[level].A11, Gmat, agg_lists, &Prol11 ); CHKERRQ(ierr); 658 659 /* could have failed to create new level */ 660 if( Prol11 ){ 661 /* get new block size of coarse matrices */ 662 ierr = MatGetBlockSizes( Prol11, PETSC_NULL, &bs ); CHKERRQ(ierr); 663 664 if( stokes ) { 665 if(!pc_gamg->formkktprol) SETERRQ(wcomm,PETSC_ERR_USER,"Stokes not supportd by AMG method."); 666 /* R A12 == (T = A21 P)'; G = T' T; coarsen G; form plain agg with G */ 667 ierr = pc_gamg->formkktprol( pc, Prol11, kktMatsArr[level].A21, &Prol22 ); CHKERRQ(ierr); 668 } 669 670 if( pc_gamg->optprol ){ 671 /* smooth */ 672 ierr = pc_gamg->optprol( pc, kktMatsArr[level].A11, &Prol11 ); CHKERRQ(ierr); 673 } 674 675 /* remove rows of singleton rows (BCs) */ 676 677 if( stokes ) { 678 IS is_row[2] = {kktMatsArr[level].prim_is,kktMatsArr[level].constr_is}; 679 Mat a[4] = {Prol11, PETSC_NULL, PETSC_NULL, Prol22 }; 680 ierr = MatCreateNest(wcomm,2,is_row, 2, is_row, a, &Parr[level1] ); CHKERRQ(ierr); 681 } 682 else { 683 Parr[level1] = Prol11; 684 } 685 } 686 else Parr[level1] = PETSC_NULL; 687 688 if ( pc_gamg->use_aggs_in_gasm ) { 689 ierr = PetscCDGetASMBlocks(agg_lists, level_bs[level], &nASMBlocksArr[level], &ASMLocalIDsArr[level] ); CHKERRQ(ierr); 690 } 691 692 ierr = PetscCDGetRemovedIS( agg_lists, &removedEqs[level] ); CHKERRQ(ierr); 693 694 ierr = MatDestroy( &Gmat ); CHKERRQ(ierr); 695 ierr = PetscCDDestroy( agg_lists ); CHKERRQ(ierr); 696 } /* construct prolongator scope */ 697 #if defined PETSC_GAMG_USE_LOG 698 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 699 #endif 700 /* cache eigen estimate */ 701 if( pc_gamg->emax_id != -1 ){ 702 PetscBool flag; 703 ierr = PetscObjectComposedDataGetReal( (PetscObject)kktMatsArr[level].A11, pc_gamg->emax_id, emaxs[level], flag ); 704 CHKERRQ( ierr ); 705 if( !flag ) emaxs[level] = -1.; 706 } 707 else emaxs[level] = -1.; 708 if(level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 709 if( !Parr[level1] ) { 710 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",mype,__FUNCT__,level); 711 break; 712 } 713 #if defined PETSC_GAMG_USE_LOG 714 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 715 #endif 716 717 ierr = createLevel( pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), 718 stokes, &Parr[level1], &Aarr[level1], &nactivepe ); 719 CHKERRQ(ierr); 720 721 #if defined PETSC_GAMG_USE_LOG 722 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 723 #endif 724 ierr = MatGetSize( Aarr[level1], &M, &qq );CHKERRQ(ierr); 725 726 if (pc_gamg->verbose > 0){ 727 PetscInt NN = M; 728 if(pc_gamg->verbose==1) { 729 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info); CHKERRQ(ierr); 730 ierr = MatGetLocalSize( Aarr[level1], &NN, &qq ); 731 } 732 else ierr = MatGetInfo( Aarr[level1], MAT_GLOBAL_SUM, &info ); 733 734 CHKERRQ(ierr); 735 nnztot += info.nz_used; 736 PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 737 mype,__FUNCT__,(int)level1,M,pc_gamg->data_cell_cols, 738 (int)(info.nz_used/(PetscReal)NN), nactivepe ); 739 CHKERRQ(ierr); 740 } 741 742 /* stop if one node -- could pull back for singular problems */ 743 if( M/pc_gamg->data_cell_cols < 2 ) { 744 level++; 745 break; 746 } 747 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 748 ierr = PetscLogStagePop(); CHKERRQ( ierr ); 749 #endif 750 } /* levels */ 751 752 if( pc_gamg->data ) { 753 ierr = PetscFree( pc_gamg->data ); CHKERRQ( ierr ); 754 pc_gamg->data = PETSC_NULL; 755 } 756 757 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 758 pc_gamg->Nlevels = level + 1; 759 fine_level = level; 760 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 761 762 /* simple setup */ 763 if( !PETSC_TRUE ){ 764 PC_MG_Levels **mglevels = mg->levels; 765 for (lidx=0,level=pc_gamg->Nlevels-1; 766 lidx<fine_level; 767 lidx++, level--){ 768 ierr = PCMGSetInterpolation( pc, lidx+1, Parr[level] );CHKERRQ(ierr); 769 ierr = KSPSetOperators( mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN );CHKERRQ(ierr); 770 ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); 771 ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); 772 } 773 ierr = KSPSetOperators( mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 774 775 ierr = PCSetUp_MG( pc ); CHKERRQ( ierr ); 776 } 777 else if( pc_gamg->Nlevels > 1 ) { /* don't setup MG if one level */ 778 /* set default smoothers & set operators */ 779 for ( lidx = 1, level = pc_gamg->Nlevels-2; 780 lidx <= fine_level; 781 lidx++, level--) { 782 KSP smoother; 783 PC subpc; 784 785 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 786 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 787 788 ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); 789 /* set ops */ 790 ierr = KSPSetOperators( smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 791 ierr = PCMGSetInterpolation( pc, lidx, Parr[level+1] );CHKERRQ(ierr); 792 793 /* create field split PC, get subsmoother */ 794 if( stokes ) { 795 KSP *ksps; 796 PetscInt nn; 797 ierr = PCFieldSplitSetIS(subpc,"0",kktMatsArr[level].prim_is); CHKERRQ(ierr); 798 ierr = PCFieldSplitSetIS(subpc,"1",kktMatsArr[level].constr_is); CHKERRQ(ierr); 799 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps); CHKERRQ(ierr); 800 smoother = ksps[0]; 801 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 802 ierr = PetscFree( ksps ); CHKERRQ(ierr); 803 } 804 ierr = GAMGKKTMatDestroy( &kktMatsArr[level] ); CHKERRQ(ierr); 805 806 /* set defaults */ 807 ierr = KSPSetType( smoother, KSPCHEBYSHEV );CHKERRQ(ierr); 808 809 /* override defaults and command line args (!) */ 810 if ( pc_gamg->use_aggs_in_gasm ) { 811 PetscInt sz; 812 IS *is; 813 814 sz = nASMBlocksArr[level]; 815 is = ASMLocalIDsArr[level]; 816 ierr = PCSetType( subpc, PCGASM ); CHKERRQ(ierr); 817 if(sz==0){ 818 IS is; 819 PetscInt my0,kk; 820 ierr = MatGetOwnershipRange( Aarr[level], &my0, &kk ); CHKERRQ(ierr); 821 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is ); CHKERRQ(ierr); 822 ierr = PCGASMSetSubdomains( subpc, 1, &is, PETSC_NULL ); CHKERRQ(ierr); 823 ierr = ISDestroy( &is ); CHKERRQ(ierr); 824 } 825 else { 826 PetscInt kk; 827 ierr = PCGASMSetSubdomains( subpc, sz, is, PETSC_NULL ); CHKERRQ(ierr); 828 for(kk=0;kk<sz;kk++){ 829 ierr = ISDestroy( &is[kk] ); CHKERRQ(ierr); 830 } 831 ierr = PetscFree( is ); CHKERRQ(ierr); 832 } 833 ierr = PCGASMSetOverlap( subpc, 0 ); CHKERRQ(ierr); 834 835 ASMLocalIDsArr[level] = PETSC_NULL; 836 nASMBlocksArr[level] = 0; 837 ierr = PCGASMSetType( subpc, PC_GASM_BASIC ); CHKERRQ(ierr); 838 } 839 else { 840 ierr = PCSetType( subpc, PCJACOBI ); CHKERRQ(ierr); 841 } 842 } 843 { 844 /* coarse grid */ 845 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 846 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 847 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 848 ierr = KSPSetOperators( smoother, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 849 ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); 850 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 851 ierr = PCSetType( subpc, PCBJACOBI ); CHKERRQ(ierr); 852 ierr = PCSetUp( subpc ); CHKERRQ(ierr); 853 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); 854 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 855 ierr = PCSetType( pc2, PCLU ); CHKERRQ(ierr); 856 } 857 858 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 859 ierr = PetscObjectOptionsBegin( (PetscObject)pc );CHKERRQ(ierr); 860 ierr = PCSetFromOptions_MG( pc ); CHKERRQ(ierr); 861 ierr = PetscOptionsEnd(); CHKERRQ(ierr); 862 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 863 864 /* create cheby smoothers */ 865 for ( lidx = 1, level = pc_gamg->Nlevels-2; 866 lidx <= fine_level; 867 lidx++, level--) { 868 KSP smoother; 869 PetscBool flag; 870 PC subpc; 871 872 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 873 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 874 875 /* create field split PC, get subsmoother */ 876 if( stokes ) { 877 KSP *ksps; 878 PetscInt nn; 879 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps); CHKERRQ(ierr); 880 smoother = ksps[0]; 881 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 882 ierr = PetscFree( ksps ); CHKERRQ(ierr); 883 } 884 885 /* do my own cheby */ 886 ierr = PetscObjectTypeCompare( (PetscObject)smoother, KSPCHEBYSHEV, &flag ); CHKERRQ(ierr); 887 if( flag ) { 888 PetscReal emax, emin; 889 ierr = PetscObjectTypeCompare( (PetscObject)subpc, PCJACOBI, &flag ); CHKERRQ(ierr); 890 if( flag && emaxs[level] > 0.0 ) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 891 else{ /* eigen estimate 'emax' */ 892 KSP eksp; Mat Lmat = Aarr[level]; 893 Vec bb, xx; 894 895 ierr = MatGetVecs( Lmat, &bb, 0 ); CHKERRQ(ierr); 896 ierr = MatGetVecs( Lmat, &xx, 0 ); CHKERRQ(ierr); 897 { 898 PetscRandom rctx; 899 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 900 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 901 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 902 ierr = PetscRandomDestroy( &rctx ); CHKERRQ(ierr); 903 } 904 905 if( removedEqs[level] ) { 906 /* being very careful - zeroing out BC rows (this is not done in agg.c estimates) */ 907 PetscScalar *zeros; 908 PetscInt ii,jj, *idx_bs, sz, bs=level_bs[level]; 909 const PetscInt *idx; 910 ierr = ISGetLocalSize( removedEqs[level], &sz ); CHKERRQ(ierr); 911 ierr = PetscMalloc( bs*sz*sizeof(PetscScalar), &zeros ); CHKERRQ(ierr); 912 for(ii=0;ii<bs*sz;ii++) zeros[ii] = 0.; 913 ierr = PetscMalloc( bs*sz*sizeof(PetscInt), &idx_bs ); CHKERRQ(ierr); 914 ierr = ISGetIndices( removedEqs[level], &idx); CHKERRQ(ierr); 915 for(ii=0;ii<sz;ii++) { 916 for(jj=0;jj<bs;jj++) { 917 idx_bs[ii] = bs*idx[ii]+jj; 918 } 919 } 920 ierr = ISRestoreIndices( removedEqs[level], &idx ); CHKERRQ(ierr); 921 if( sz > 0 ) { 922 ierr = VecSetValues( bb, sz, idx_bs, zeros, INSERT_VALUES ); CHKERRQ(ierr); 923 } 924 ierr = PetscFree( idx_bs ); CHKERRQ(ierr); 925 ierr = PetscFree( zeros ); CHKERRQ(ierr); 926 ierr = VecAssemblyBegin(bb); CHKERRQ(ierr); 927 ierr = VecAssemblyEnd(bb); CHKERRQ(ierr); 928 } 929 ierr = KSPCreate( wcomm, &eksp );CHKERRQ(ierr); 930 ierr = KSPSetTolerances( eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10 ); 931 CHKERRQ(ierr); 932 ierr = KSPSetNormType( eksp, KSP_NORM_NONE ); CHKERRQ(ierr); 933 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 934 ierr = KSPAppendOptionsPrefix( eksp, "gamg_est_"); CHKERRQ(ierr); 935 ierr = KSPSetFromOptions( eksp ); CHKERRQ(ierr); 936 937 ierr = KSPSetInitialGuessNonzero( eksp, PETSC_FALSE ); CHKERRQ(ierr); 938 ierr = KSPSetOperators( eksp, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ( ierr ); 939 ierr = KSPSetComputeSingularValues( eksp,PETSC_TRUE ); CHKERRQ(ierr); 940 941 /* set PC type to be same as smoother */ 942 ierr = KSPSetPC( eksp, subpc ); CHKERRQ( ierr ); 943 944 /* solve - keep stuff out of logging */ 945 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 946 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 947 ierr = KSPSolve( eksp, bb, xx ); CHKERRQ(ierr); 948 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 949 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 950 951 ierr = KSPComputeExtremeSingularValues( eksp, &emax, &emin ); CHKERRQ(ierr); 952 953 ierr = VecDestroy( &xx ); CHKERRQ(ierr); 954 ierr = VecDestroy( &bb ); CHKERRQ(ierr); 955 ierr = KSPDestroy( &eksp ); CHKERRQ(ierr); 956 957 if( pc_gamg->verbose > 0 ) { 958 PetscInt N1, tt; 959 ierr = MatGetSize( Aarr[level], &N1, &tt ); CHKERRQ(ierr); 960 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 961 } 962 } 963 { 964 PetscInt N1, N0; 965 ierr = MatGetSize( Aarr[level], &N1, PETSC_NULL ); CHKERRQ(ierr); 966 ierr = MatGetSize( Aarr[level+1], &N0, PETSC_NULL ); CHKERRQ(ierr); 967 /* heuristic - is this crap? */ 968 /* emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); */ 969 emin = emax * pc_gamg->eigtarget[0]; 970 emax *= pc_gamg->eigtarget[1]; 971 } 972 ierr = KSPChebyshevSetEigenvalues( smoother, emax, emin );CHKERRQ(ierr); 973 } /* setup checby flag */ 974 975 if( removedEqs[level] ) { 976 ierr = ISDestroy( &removedEqs[level] ); CHKERRQ(ierr); 977 } 978 } /* non-coarse levels */ 979 980 /* clean up */ 981 for(level=1;level<pc_gamg->Nlevels;level++){ 982 ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); 983 ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); 984 } 985 986 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 987 988 if( PETSC_FALSE ){ 989 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 990 ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); 991 ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); 992 } 993 } 994 else { 995 KSP smoother; 996 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",mype,__FUNCT__); 997 ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); 998 ierr = KSPSetOperators( smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 999 ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); 1000 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 1001 } 1002 1003 PetscFunctionReturn(0); 1004 } 1005 1006 /* ------------------------------------------------------------------------- */ 1007 /* 1008 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 1009 that was created with PCCreate_GAMG(). 1010 1011 Input Parameter: 1012 . pc - the preconditioner context 1013 1014 Application Interface Routine: PCDestroy() 1015 */ 1016 #undef __FUNCT__ 1017 #define __FUNCT__ "PCDestroy_GAMG" 1018 PetscErrorCode PCDestroy_GAMG( PC pc ) 1019 { 1020 PetscErrorCode ierr; 1021 PC_MG *mg = (PC_MG*)pc->data; 1022 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 1023 1024 PetscFunctionBegin; 1025 ierr = PCReset_GAMG( pc );CHKERRQ(ierr); 1026 ierr = PetscFree( pc_gamg );CHKERRQ(ierr); 1027 ierr = PCDestroy_MG( pc );CHKERRQ(ierr); 1028 PetscFunctionReturn(0); 1029 } 1030 1031 1032 #undef __FUNCT__ 1033 #define __FUNCT__ "PCGAMGSetProcEqLim" 1034 /*@ 1035 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 1036 processor reduction. 1037 1038 Not Collective on PC 1039 1040 Input Parameters: 1041 . pc - the preconditioner context 1042 1043 1044 Options Database Key: 1045 . -pc_gamg_process_eq_limit 1046 1047 Level: intermediate 1048 1049 Concepts: Unstructured multrigrid preconditioner 1050 1051 .seealso: () 1052 @*/ 1053 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 1054 { 1055 PetscErrorCode ierr; 1056 1057 PetscFunctionBegin; 1058 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1059 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1060 PetscFunctionReturn(0); 1061 } 1062 1063 EXTERN_C_BEGIN 1064 #undef __FUNCT__ 1065 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 1066 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 1067 { 1068 PC_MG *mg = (PC_MG*)pc->data; 1069 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1070 1071 PetscFunctionBegin; 1072 if(n>0) pc_gamg->min_eq_proc = n; 1073 PetscFunctionReturn(0); 1074 } 1075 EXTERN_C_END 1076 1077 #undef __FUNCT__ 1078 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 1079 /*@ 1080 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 1081 1082 Collective on PC 1083 1084 Input Parameters: 1085 . pc - the preconditioner context 1086 1087 1088 Options Database Key: 1089 . -pc_gamg_coarse_eq_limit 1090 1091 Level: intermediate 1092 1093 Concepts: Unstructured multrigrid preconditioner 1094 1095 .seealso: () 1096 @*/ 1097 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 1098 { 1099 PetscErrorCode ierr; 1100 1101 PetscFunctionBegin; 1102 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1103 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1104 PetscFunctionReturn(0); 1105 } 1106 1107 EXTERN_C_BEGIN 1108 #undef __FUNCT__ 1109 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 1110 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 1111 { 1112 PC_MG *mg = (PC_MG*)pc->data; 1113 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1114 1115 PetscFunctionBegin; 1116 if(n>0) pc_gamg->coarse_eq_limit = n; 1117 PetscFunctionReturn(0); 1118 } 1119 EXTERN_C_END 1120 1121 #undef __FUNCT__ 1122 #define __FUNCT__ "PCGAMGSetRepartitioning" 1123 /*@ 1124 PCGAMGSetRepartitioning - Repartition the coarse grids 1125 1126 Collective on PC 1127 1128 Input Parameters: 1129 . pc - the preconditioner context 1130 1131 1132 Options Database Key: 1133 . -pc_gamg_repartition 1134 1135 Level: intermediate 1136 1137 Concepts: Unstructured multrigrid preconditioner 1138 1139 .seealso: () 1140 @*/ 1141 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 1142 { 1143 PetscErrorCode ierr; 1144 1145 PetscFunctionBegin; 1146 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1147 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1148 PetscFunctionReturn(0); 1149 } 1150 1151 EXTERN_C_BEGIN 1152 #undef __FUNCT__ 1153 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1154 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1155 { 1156 PC_MG *mg = (PC_MG*)pc->data; 1157 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1158 1159 PetscFunctionBegin; 1160 pc_gamg->repart = n; 1161 PetscFunctionReturn(0); 1162 } 1163 EXTERN_C_END 1164 1165 #undef __FUNCT__ 1166 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1167 /*@ 1168 PCGAMGSetUseASMAggs - 1169 1170 Collective on PC 1171 1172 Input Parameters: 1173 . pc - the preconditioner context 1174 1175 1176 Options Database Key: 1177 . -pc_gamg_use_agg_gasm 1178 1179 Level: intermediate 1180 1181 Concepts: Unstructured multrigrid preconditioner 1182 1183 .seealso: () 1184 @*/ 1185 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1186 { 1187 PetscErrorCode ierr; 1188 1189 PetscFunctionBegin; 1190 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1191 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1192 PetscFunctionReturn(0); 1193 } 1194 1195 EXTERN_C_BEGIN 1196 #undef __FUNCT__ 1197 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1198 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1199 { 1200 PC_MG *mg = (PC_MG*)pc->data; 1201 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1202 1203 PetscFunctionBegin; 1204 pc_gamg->use_aggs_in_gasm = n; 1205 PetscFunctionReturn(0); 1206 } 1207 EXTERN_C_END 1208 1209 #undef __FUNCT__ 1210 #define __FUNCT__ "PCGAMGSetNlevels" 1211 /*@ 1212 PCGAMGSetNlevels - 1213 1214 Not collective on PC 1215 1216 Input Parameters: 1217 . pc - the preconditioner context 1218 1219 1220 Options Database Key: 1221 . -pc_mg_levels 1222 1223 Level: intermediate 1224 1225 Concepts: Unstructured multrigrid preconditioner 1226 1227 .seealso: () 1228 @*/ 1229 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1230 { 1231 PetscErrorCode ierr; 1232 1233 PetscFunctionBegin; 1234 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1235 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1236 PetscFunctionReturn(0); 1237 } 1238 1239 EXTERN_C_BEGIN 1240 #undef __FUNCT__ 1241 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1242 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1243 { 1244 PC_MG *mg = (PC_MG*)pc->data; 1245 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1246 1247 PetscFunctionBegin; 1248 pc_gamg->Nlevels = n; 1249 PetscFunctionReturn(0); 1250 } 1251 EXTERN_C_END 1252 1253 #undef __FUNCT__ 1254 #define __FUNCT__ "PCGAMGSetThreshold" 1255 /*@ 1256 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1257 1258 Not collective on PC 1259 1260 Input Parameters: 1261 . pc - the preconditioner context 1262 1263 1264 Options Database Key: 1265 . -pc_gamg_threshold 1266 1267 Level: intermediate 1268 1269 Concepts: Unstructured multrigrid preconditioner 1270 1271 .seealso: () 1272 @*/ 1273 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1274 { 1275 PetscErrorCode ierr; 1276 1277 PetscFunctionBegin; 1278 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1279 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1280 PetscFunctionReturn(0); 1281 } 1282 1283 EXTERN_C_BEGIN 1284 #undef __FUNCT__ 1285 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1286 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1287 { 1288 PC_MG *mg = (PC_MG*)pc->data; 1289 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1290 1291 PetscFunctionBegin; 1292 pc_gamg->threshold = n; 1293 PetscFunctionReturn(0); 1294 } 1295 EXTERN_C_END 1296 1297 #undef __FUNCT__ 1298 #define __FUNCT__ "PCGAMGSetType" 1299 /*@ 1300 PCGAMGSetType - Set solution method - calls sub create method 1301 1302 Collective on PC 1303 1304 Input Parameters: 1305 . pc - the preconditioner context 1306 1307 1308 Options Database Key: 1309 . -pc_gamg_type 1310 1311 Level: intermediate 1312 1313 Concepts: Unstructured multrigrid preconditioner 1314 1315 .seealso: () 1316 @*/ 1317 PetscErrorCode PCGAMGSetType( PC pc, const PCGAMGType type ) 1318 { 1319 PetscErrorCode ierr; 1320 1321 PetscFunctionBegin; 1322 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1323 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,const PCGAMGType),(pc,type)); 1324 CHKERRQ(ierr); 1325 PetscFunctionReturn(0); 1326 } 1327 1328 EXTERN_C_BEGIN 1329 #undef __FUNCT__ 1330 #define __FUNCT__ "PCGAMGSetType_GAMG" 1331 PetscErrorCode PCGAMGSetType_GAMG( PC pc, const PCGAMGType type ) 1332 { 1333 PetscErrorCode ierr,(*r)(PC); 1334 1335 PetscFunctionBegin; 1336 ierr = PetscFListFind(GAMGList,((PetscObject)pc)->comm,type,PETSC_FALSE,(PetscVoidStarFunction)&r); 1337 CHKERRQ(ierr); 1338 1339 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1340 1341 /* call sub create method */ 1342 ierr = (*r)(pc); CHKERRQ(ierr); 1343 1344 PetscFunctionReturn(0); 1345 } 1346 EXTERN_C_END 1347 1348 #undef __FUNCT__ 1349 #define __FUNCT__ "PCSetFromOptions_GAMG" 1350 PetscErrorCode PCSetFromOptions_GAMG( PC pc ) 1351 { 1352 PetscErrorCode ierr; 1353 PC_MG *mg = (PC_MG*)pc->data; 1354 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1355 PetscBool flag; 1356 PetscInt two = 2; 1357 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1358 1359 PetscFunctionBegin; 1360 ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); 1361 { 1362 /* -pc_gamg_verbose */ 1363 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1364 "none", pc_gamg->verbose, 1365 &pc_gamg->verbose, PETSC_NULL ); 1366 CHKERRQ(ierr); 1367 1368 /* -pc_gamg_repartition */ 1369 ierr = PetscOptionsBool("-pc_gamg_repartition", 1370 "Repartion coarse grids (false)", 1371 "PCGAMGRepartitioning", 1372 pc_gamg->repart, 1373 &pc_gamg->repart, 1374 &flag); 1375 CHKERRQ(ierr); 1376 1377 /* -pc_gamg_use_agg_gasm */ 1378 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1379 "Use aggregation agragates for GASM smoother (false)", 1380 "PCGAMGUseASMAggs", 1381 pc_gamg->use_aggs_in_gasm, 1382 &pc_gamg->use_aggs_in_gasm, 1383 &flag); 1384 CHKERRQ(ierr); 1385 1386 /* -pc_gamg_process_eq_limit */ 1387 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1388 "Limit (goal) on number of equations per process on coarse grids", 1389 "PCGAMGSetProcEqLim", 1390 pc_gamg->min_eq_proc, 1391 &pc_gamg->min_eq_proc, 1392 &flag ); 1393 CHKERRQ(ierr); 1394 1395 /* -pc_gamg_coarse_eq_limit */ 1396 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1397 "Limit on number of equations for the coarse grid", 1398 "PCGAMGSetCoarseEqLim", 1399 pc_gamg->coarse_eq_limit, 1400 &pc_gamg->coarse_eq_limit, 1401 &flag ); 1402 CHKERRQ(ierr); 1403 1404 /* -pc_gamg_threshold */ 1405 ierr = PetscOptionsReal("-pc_gamg_threshold", 1406 "Relative threshold to use for dropping edges in aggregation graph", 1407 "PCGAMGSetThreshold", 1408 pc_gamg->threshold, 1409 &pc_gamg->threshold, 1410 &flag ); 1411 CHKERRQ(ierr); 1412 if(flag && pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold); 1413 1414 ierr = PetscOptionsRealArray("-pc_gamg_eigtarget","Target eigenvalue range as fraction of estimated maximum eigenvalue","PCGAMGSetEigTarget",pc_gamg->eigtarget,&two,PETSC_NULL);CHKERRQ(ierr); 1415 1416 ierr = PetscOptionsInt("-pc_mg_levels", 1417 "Set number of MG levels", 1418 "PCGAMGSetNlevels", 1419 pc_gamg->Nlevels, 1420 &pc_gamg->Nlevels, 1421 &flag ); 1422 } 1423 ierr = PetscOptionsTail();CHKERRQ(ierr); 1424 1425 PetscFunctionReturn(0); 1426 } 1427 1428 /* -------------------------------------------------------------------------- */ 1429 /*MC 1430 PCGAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1431 - This is the entry point to GAMG, registered in pcregis.c 1432 1433 Options Database Keys: 1434 Multigrid options(inherited) 1435 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1436 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1437 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1438 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full kascade 1439 1440 Level: intermediate 1441 1442 Concepts: multigrid 1443 1444 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1445 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1446 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1447 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1448 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1449 M*/ 1450 EXTERN_C_BEGIN 1451 #undef __FUNCT__ 1452 #define __FUNCT__ "PCCreate_GAMG" 1453 PetscErrorCode PCCreate_GAMG( PC pc ) 1454 { 1455 PetscErrorCode ierr; 1456 PC_GAMG *pc_gamg; 1457 PC_MG *mg; 1458 #if defined PETSC_GAMG_USE_LOG 1459 static long count = 0; 1460 #endif 1461 1462 PetscFunctionBegin; 1463 1464 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1465 ierr = PCSetType( pc, PCMG ); CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1466 ierr = PetscObjectChangeTypeName( (PetscObject)pc, PCGAMG ); CHKERRQ(ierr); 1467 1468 /* create a supporting struct and attach it to pc */ 1469 ierr = PetscNewLog( pc, PC_GAMG, &pc_gamg ); CHKERRQ(ierr); 1470 mg = (PC_MG*)pc->data; 1471 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1472 mg->innerctx = pc_gamg; 1473 1474 pc_gamg->setup_count = 0; 1475 /* these should be in subctx but repartitioning needs simple arrays */ 1476 pc_gamg->data_sz = 0; 1477 pc_gamg->data = 0; 1478 1479 /* register AMG type */ 1480 if( !GAMGList ){ 1481 ierr = PetscFListAdd(&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1482 ierr = PetscFListAdd(&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1483 } 1484 1485 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1486 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1487 pc->ops->setup = PCSetUp_GAMG; 1488 pc->ops->reset = PCReset_GAMG; 1489 pc->ops->destroy = PCDestroy_GAMG; 1490 1491 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1492 "PCGAMGSetProcEqLim_C", 1493 "PCGAMGSetProcEqLim_GAMG", 1494 PCGAMGSetProcEqLim_GAMG); 1495 CHKERRQ(ierr); 1496 1497 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1498 "PCGAMGSetCoarseEqLim_C", 1499 "PCGAMGSetCoarseEqLim_GAMG", 1500 PCGAMGSetCoarseEqLim_GAMG); 1501 CHKERRQ(ierr); 1502 1503 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1504 "PCGAMGSetRepartitioning_C", 1505 "PCGAMGSetRepartitioning_GAMG", 1506 PCGAMGSetRepartitioning_GAMG); 1507 CHKERRQ(ierr); 1508 1509 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1510 "PCGAMGSetUseASMAggs_C", 1511 "PCGAMGSetUseASMAggs_GAMG", 1512 PCGAMGSetUseASMAggs_GAMG); 1513 CHKERRQ(ierr); 1514 1515 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1516 "PCGAMGSetThreshold_C", 1517 "PCGAMGSetThreshold_GAMG", 1518 PCGAMGSetThreshold_GAMG); 1519 CHKERRQ(ierr); 1520 1521 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1522 "PCGAMGSetType_C", 1523 "PCGAMGSetType_GAMG", 1524 PCGAMGSetType_GAMG); 1525 CHKERRQ(ierr); 1526 1527 pc_gamg->repart = PETSC_FALSE; 1528 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1529 pc_gamg->min_eq_proc = 100; 1530 pc_gamg->coarse_eq_limit = 800; 1531 pc_gamg->threshold = 0.001; 1532 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1533 pc_gamg->verbose = 0; 1534 pc_gamg->emax_id = -1; 1535 pc_gamg->eigtarget[0] = 0.05; 1536 pc_gamg->eigtarget[1] = 1.05; 1537 1538 /* private events */ 1539 #if defined PETSC_GAMG_USE_LOG 1540 if( count++ == 0 ) { 1541 PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]); 1542 PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]); 1543 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1544 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1545 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1546 PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]); 1547 PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]); 1548 PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]); 1549 PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]); 1550 PetscLogEventRegister(" SA: col data", PC_CLASSID, &petsc_gamg_setup_events[SET7]); 1551 PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]); 1552 PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]); 1553 PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]); 1554 PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]); 1555 PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]); 1556 PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]); 1557 PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]); 1558 1559 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1560 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1561 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1562 /* create timer stages */ 1563 #if defined GAMG_STAGES 1564 { 1565 char str[32]; 1566 sprintf(str,"MG Level %d (finest)",0); 1567 PetscLogStageRegister(str, &gamg_stages[0]); 1568 PetscInt lidx; 1569 for (lidx=1;lidx<9;lidx++){ 1570 sprintf(str,"MG Level %d",lidx); 1571 PetscLogStageRegister(str, &gamg_stages[lidx]); 1572 } 1573 } 1574 #endif 1575 } 1576 #endif 1577 /* general events */ 1578 #if defined PETSC_USE_LOG 1579 PetscLogEventRegister("PCGAMGgraph_AGG", 0, &PC_GAMGGgraph_AGG); 1580 PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO); 1581 PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG); 1582 PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO); 1583 PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG); 1584 PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO); 1585 PetscLogEventRegister("PCGAMGPOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG); 1586 PetscLogEventRegister("GAMGKKTProl_AGG", PC_CLASSID, &PC_GAMGKKTProl_AGG); 1587 #endif 1588 1589 /* instantiate derived type */ 1590 ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); 1591 { 1592 char tname[256] = GAMGAGG; 1593 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType", 1594 GAMGList, tname, tname, sizeof(tname), PETSC_NULL ); 1595 CHKERRQ(ierr); 1596 ierr = PCGAMGSetType( pc, tname ); CHKERRQ(ierr); 1597 } 1598 ierr = PetscOptionsTail(); CHKERRQ(ierr); 1599 1600 PetscFunctionReturn(0); 1601 } 1602 EXTERN_C_END 1603