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 PetscFunctionList 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 PetscPrintf(((PetscObject)pc)->comm,"***[%d]%s this should not happen, cleaned up in SetUp\n",0,__FUNCT__); 44 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 45 } 46 pc_gamg->data = PETSC_NULL; pc_gamg->data_sz = 0; 47 48 if (pc_gamg->orig_data) { 49 ierr = PetscFree(pc_gamg->orig_data);CHKERRQ(ierr); 50 } 51 PetscFunctionReturn(0); 52 } 53 54 /* private 2x2 Mat Nest for Stokes */ 55 typedef struct{ 56 Mat A11,A21,A12,Amat; 57 IS prim_is,constr_is; 58 }GAMGKKTMat; 59 60 #undef __FUNCT__ 61 #define __FUNCT__ "GAMGKKTMatCreate" 62 static PetscErrorCode GAMGKKTMatCreate(Mat A, PetscBool iskkt, GAMGKKTMat *out) 63 { 64 PetscFunctionBegin; 65 out->Amat = A; 66 if (iskkt) { 67 PetscErrorCode ierr; 68 IS is_constraint, is_prime; 69 PetscInt nmin,nmax; 70 71 ierr = MatGetOwnershipRange(A, &nmin, &nmax);CHKERRQ(ierr); 72 ierr = MatFindZeroDiagonals(A, &is_constraint);CHKERRQ(ierr); 73 ierr = ISComplement(is_constraint, nmin, nmax, &is_prime);CHKERRQ(ierr); 74 out->prim_is = is_prime; 75 out->constr_is = is_constraint; 76 77 ierr = MatGetSubMatrix(A, is_prime, is_prime, MAT_INITIAL_MATRIX, &out->A11);CHKERRQ(ierr); 78 ierr = MatGetSubMatrix(A, is_prime, is_constraint, MAT_INITIAL_MATRIX, &out->A12);CHKERRQ(ierr); 79 ierr = MatGetSubMatrix(A, is_constraint, is_prime, MAT_INITIAL_MATRIX, &out->A21);CHKERRQ(ierr); 80 } else { 81 out->A11 = A; 82 out->A21 = PETSC_NULL; 83 out->A12 = PETSC_NULL; 84 out->prim_is = PETSC_NULL; 85 out->constr_is = PETSC_NULL; 86 } 87 PetscFunctionReturn(0); 88 } 89 90 #undef __FUNCT__ 91 #define __FUNCT__ "GAMGKKTMatDestroy" 92 static PetscErrorCode GAMGKKTMatDestroy(GAMGKKTMat *mat) 93 { 94 PetscErrorCode ierr; 95 96 PetscFunctionBegin; 97 if (mat->A11 && mat->A11 != mat->Amat) { 98 ierr = MatDestroy(&mat->A11);CHKERRQ(ierr); 99 } 100 ierr = MatDestroy(&mat->A21);CHKERRQ(ierr); 101 ierr = MatDestroy(&mat->A12);CHKERRQ(ierr); 102 103 ierr = ISDestroy(&mat->prim_is);CHKERRQ(ierr); 104 ierr = ISDestroy(&mat->constr_is);CHKERRQ(ierr); 105 PetscFunctionReturn(0); 106 } 107 108 /* -------------------------------------------------------------------------- */ 109 /* 110 createLevel: create coarse op with RAP. repartition and/or reduce number 111 of active processors. 112 113 Input Parameter: 114 . pc - parameters + side effect: coarse data in 'pc_gamg->data' and 115 'pc_gamg->data_sz' are changed via repartitioning/reduction. 116 . Amat_fine - matrix on this fine (k) level 117 . cr_bs - coarse block size 118 . isLast - 119 . stokes - 120 In/Output Parameter: 121 . a_P_inout - prolongation operator to the next level (k-->k-1) 122 . a_nactive_proc - number of active procs 123 Output Parameter: 124 . a_Amat_crs - coarse matrix that is created (k-1) 125 */ 126 127 #undef __FUNCT__ 128 #define __FUNCT__ "createLevel" 129 static PetscErrorCode createLevel(const PC pc, 130 const Mat Amat_fine, 131 const PetscInt cr_bs, 132 const PetscBool isLast, 133 const PetscBool stokes, 134 Mat *a_P_inout, 135 Mat *a_Amat_crs, 136 PetscMPIInt *a_nactive_proc) 137 { 138 PetscErrorCode ierr; 139 PC_MG *mg = (PC_MG*)pc->data; 140 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 141 const PetscBool repart = pc_gamg->repart; 142 const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; 143 Mat Cmat,Pold=*a_P_inout; 144 MPI_Comm wcomm = ((PetscObject)Amat_fine)->comm; 145 PetscMPIInt rank,size,new_size,nactive=*a_nactive_proc; 146 PetscInt ncrs_eq,ncrs_prim,f_bs; 147 148 PetscFunctionBegin; 149 ierr = MPI_Comm_rank(wcomm, &rank);CHKERRQ(ierr); 150 ierr = MPI_Comm_size(wcomm, &size);CHKERRQ(ierr); 151 ierr = MatGetBlockSize(Amat_fine, &f_bs);CHKERRQ(ierr); 152 /* RAP */ 153 ierr = MatPtAP(Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat);CHKERRQ(ierr); 154 155 /* set 'ncrs_prim' (nodes), 'ncrs_eq' (equations)*/ 156 ncrs_prim = pc_gamg->data_sz/pc_gamg->data_cell_cols/pc_gamg->data_cell_rows; 157 assert(pc_gamg->data_sz%(pc_gamg->data_cell_cols*pc_gamg->data_cell_rows)==0); 158 ierr = MatGetLocalSize(Cmat, &ncrs_eq, PETSC_NULL);CHKERRQ(ierr); 159 160 /* get number of PEs to make active 'new_size', reduce, can be any integer 1-P */ 161 { 162 PetscInt ncrs_eq_glob; 163 ierr = MatGetSize(Cmat, &ncrs_eq_glob, PETSC_NULL);CHKERRQ(ierr); 164 new_size = (PetscMPIInt)((float)ncrs_eq_glob/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ 165 if (new_size == 0 || ncrs_eq_glob < coarse_max) new_size = 1; 166 else if (new_size >= nactive) new_size = nactive; /* no change, rare */ 167 if (isLast) new_size = 1; 168 } 169 170 if (!repart && new_size==nactive) { 171 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction - could bail here */ 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(size*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: size (active): %d --> %d, neq = %d\n",rank,__FUNCT__,*a_nactive_proc,new_size,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: size (active): %d --> %d, neq = %d\n",rank,__FUNCT__,*a_nactive_proc,new_size,n); 196 } 197 } 198 199 /* get 'adj' */ 200 if (cr_bs == 1) { 201 ierr = MatConvert(Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 202 } else { 203 /* make a scalar matrix to partition (no Stokes here) */ 204 Mat tMat; 205 PetscInt Istart_crs,Iend_crs,ncols,jj,Ii; 206 const PetscScalar *vals; 207 const PetscInt *idx; 208 PetscInt *d_nnz, *o_nnz, M, N; 209 static PetscInt llev = 0; 210 211 ierr = PetscMalloc(ncrs_prim*sizeof(PetscInt), &d_nnz);CHKERRQ(ierr); 212 ierr = PetscMalloc(ncrs_prim*sizeof(PetscInt), &o_nnz);CHKERRQ(ierr); 213 ierr = MatGetOwnershipRange(Cmat, &Istart_crs, &Iend_crs);CHKERRQ(ierr); 214 ierr = MatGetSize(Cmat, &M, &N);CHKERRQ(ierr); 215 for (Ii = Istart_crs, jj = 0 ; Ii < Iend_crs ; Ii += cr_bs, jj++) { 216 ierr = MatGetRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 217 d_nnz[jj] = ncols/cr_bs; 218 o_nnz[jj] = ncols/cr_bs; 219 ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 220 if (d_nnz[jj] > ncrs_prim) d_nnz[jj] = ncrs_prim; 221 if (o_nnz[jj] > (M/cr_bs-ncrs_prim)) o_nnz[jj] = M/cr_bs-ncrs_prim; 222 } 223 224 ierr = MatCreate(wcomm, &tMat);CHKERRQ(ierr); 225 ierr = MatSetSizes(tMat, ncrs_prim, ncrs_prim,PETSC_DETERMINE, PETSC_DETERMINE);CHKERRQ(ierr); 226 ierr = MatSetType(tMat,MATAIJ);CHKERRQ(ierr); 227 ierr = MatSeqAIJSetPreallocation(tMat,0,d_nnz);CHKERRQ(ierr); 228 ierr = MatMPIAIJSetPreallocation(tMat,0,d_nnz,0,o_nnz);CHKERRQ(ierr); 229 ierr = PetscFree(d_nnz);CHKERRQ(ierr); 230 ierr = PetscFree(o_nnz);CHKERRQ(ierr); 231 232 for (ii = Istart_crs; ii < Iend_crs; ii++) { 233 PetscInt dest_row = ii/cr_bs; 234 ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 235 for (jj = 0 ; jj < ncols ; jj++) { 236 PetscInt dest_col = idx[jj]/cr_bs; 237 PetscScalar v = 1.0; 238 ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES);CHKERRQ(ierr); 239 } 240 ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 241 } 242 ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 243 ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 244 245 if (llev++ == -1) { 246 PetscViewer viewer; char fname[32]; 247 ierr = PetscSNPrintf(fname,sizeof(fname),"part_mat_%D.mat",llev);CHKERRQ(ierr); 248 PetscViewerBinaryOpen(wcomm,fname,FILE_MODE_WRITE,&viewer); 249 ierr = MatView(tMat, viewer);CHKERRQ(ierr); 250 ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); 251 } 252 253 ierr = MatConvert(tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 254 255 ierr = MatDestroy(&tMat);CHKERRQ(ierr); 256 } /* create 'adj' */ 257 258 { /* partition: get newproc_idx */ 259 char prefix[256]; 260 const char *pcpre; 261 const PetscInt *is_idx; 262 MatPartitioning mpart; 263 IS proc_is; 264 PetscInt targetPE; 265 266 ierr = MatPartitioningCreate(wcomm, &mpart);CHKERRQ(ierr); 267 ierr = MatPartitioningSetAdjacency(mpart, adj);CHKERRQ(ierr); 268 ierr = PCGetOptionsPrefix(pc, &pcpre);CHKERRQ(ierr); 269 ierr = PetscSNPrintf(prefix,sizeof(prefix),"%spc_gamg_",pcpre?pcpre:"");CHKERRQ(ierr); 270 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 271 ierr = MatPartitioningSetFromOptions(mpart);CHKERRQ(ierr); 272 ierr = MatPartitioningSetNParts(mpart, new_size);CHKERRQ(ierr); 273 ierr = MatPartitioningApply(mpart, &proc_is);CHKERRQ(ierr); 274 ierr = MatPartitioningDestroy(&mpart);CHKERRQ(ierr); 275 276 /* collect IS info */ 277 ierr = PetscMalloc(ncrs_eq*sizeof(PetscInt), &newproc_idx);CHKERRQ(ierr); 278 ierr = ISGetIndices(proc_is, &is_idx);CHKERRQ(ierr); 279 targetPE = 1; /* bring to "front" of machine */ 280 /*targetPE = size/new_size;*/ /* spread partitioning across machine */ 281 for (kk = jj = 0 ; kk < nloc_old ; kk++) { 282 for (ii = 0 ; ii < cr_bs ; ii++, jj++) { 283 newproc_idx[jj] = is_idx[kk] * targetPE; /* distribution */ 284 } 285 } 286 ierr = ISRestoreIndices(proc_is, &is_idx);CHKERRQ(ierr); 287 ierr = ISDestroy(&proc_is);CHKERRQ(ierr); 288 } 289 ierr = MatDestroy(&adj);CHKERRQ(ierr); 290 291 ierr = ISCreateGeneral(wcomm, ncrs_eq, newproc_idx, PETSC_COPY_VALUES, &is_eq_newproc);CHKERRQ(ierr); 292 if (newproc_idx != 0) { 293 ierr = PetscFree(newproc_idx);CHKERRQ(ierr); 294 } 295 } else { /* simple aggreagtion of parts -- 'is_eq_newproc' */ 296 297 PetscInt rfactor,targetPE; 298 /* find factor */ 299 if (new_size == 1) rfactor = size; /* easy */ 300 else { 301 PetscReal best_fact = 0.; 302 jj = -1; 303 for (kk = 1 ; kk <= size ; kk++) { 304 if (size%kk==0) { /* a candidate */ 305 PetscReal nactpe = (PetscReal)size/(PetscReal)kk, fact = nactpe/(PetscReal)new_size; 306 if (fact > 1.0) fact = 1./fact; /* keep fact < 1 */ 307 if (fact > best_fact) { 308 best_fact = fact; jj = kk; 309 } 310 } 311 } 312 if (jj != -1) rfactor = jj; 313 else rfactor = 1; /* does this happen .. a prime */ 314 } 315 new_size = size/rfactor; 316 317 if (new_size==nactive) { 318 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction, bail out because nested here */ 319 ierr = PetscFree(counts);CHKERRQ(ierr); 320 if (pc_gamg->verbose>0) { 321 PetscPrintf(wcomm,"\t[%d]%s aggregate processors noop: new_size=%d, neq(loc)=%d\n",rank,__FUNCT__,new_size,ncrs_eq); 322 } 323 PetscFunctionReturn(0); 324 } 325 326 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s number of equations (loc) %d with simple aggregation\n",rank,__FUNCT__,ncrs_eq); 327 targetPE = rank/rfactor; 328 ierr = ISCreateStride(wcomm, ncrs_eq, targetPE, 0, &is_eq_newproc);CHKERRQ(ierr); 329 330 if (stokes) { 331 ierr = ISCreateStride(wcomm, ncrs_prim*cr_bs, targetPE, 0, &is_eq_newproc_prim);CHKERRQ(ierr); 332 } 333 } /* end simple 'is_eq_newproc' */ 334 335 /* 336 Create an index set from the is_eq_newproc index set to indicate the mapping TO 337 */ 338 ierr = ISPartitioningToNumbering(is_eq_newproc, &is_eq_num);CHKERRQ(ierr); 339 if (stokes) { 340 ierr = ISPartitioningToNumbering(is_eq_newproc_prim, &is_eq_num_prim);CHKERRQ(ierr); 341 } else is_eq_num_prim = is_eq_num; 342 /* 343 Determine how many equations/vertices are assigned to each processor 344 */ 345 ierr = ISPartitioningCount(is_eq_newproc, size, counts);CHKERRQ(ierr); 346 ncrs_eq_new = counts[rank]; 347 ierr = ISDestroy(&is_eq_newproc);CHKERRQ(ierr); 348 if (stokes) { 349 ierr = ISPartitioningCount(is_eq_newproc_prim, size, counts);CHKERRQ(ierr); 350 ierr = ISDestroy(&is_eq_newproc_prim);CHKERRQ(ierr); 351 ncrs_prim_new = counts[rank]/cr_bs; /* nodes */ 352 } else ncrs_prim_new = ncrs_eq_new/cr_bs; /* eqs */ 353 354 ierr = PetscFree(counts);CHKERRQ(ierr); 355 #if defined PETSC_GAMG_USE_LOG 356 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 357 #endif 358 359 /* move data (for primal equations only) */ 360 /* Create a vector to contain the newly ordered element information */ 361 ierr = VecCreate(wcomm, &dest_crd);CHKERRQ(ierr); 362 ierr = VecSetSizes(dest_crd, node_data_sz*ncrs_prim_new, PETSC_DECIDE);CHKERRQ(ierr); 363 ierr = VecSetFromOptions(dest_crd);CHKERRQ(ierr); /* this is needed! */ 364 /* 365 There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having 366 a block size of ...). Note, ISs are expanded into equation space by 'cr_bs'. 367 */ 368 ierr = PetscMalloc((ncrs_prim*node_data_sz)*sizeof(PetscInt), &tidx);CHKERRQ(ierr); 369 ierr = ISGetIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 370 for (ii=0,jj=0; ii<ncrs_prim ; ii++) { 371 PetscInt id = idx[ii*cr_bs]/cr_bs; /* get node back */ 372 for (kk=0; kk<node_data_sz ; kk++, jj++) tidx[jj] = id*node_data_sz + kk; 373 } 374 ierr = ISRestoreIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 375 ierr = ISCreateGeneral(wcomm, node_data_sz*ncrs_prim, tidx, PETSC_COPY_VALUES, &isscat);CHKERRQ(ierr); 376 ierr = PetscFree(tidx);CHKERRQ(ierr); 377 /* 378 Create a vector to contain the original vertex information for each element 379 */ 380 ierr = VecCreateSeq(PETSC_COMM_SELF, node_data_sz*ncrs_prim, &src_crd);CHKERRQ(ierr); 381 for (jj=0; jj<ndata_cols ; jj++) { 382 const PetscInt stride0=ncrs_prim*pc_gamg->data_cell_rows; 383 for (ii=0 ; ii<ncrs_prim ; ii++) { 384 for (kk=0; kk<ndata_rows ; kk++) { 385 PetscInt ix = ii*ndata_rows + kk + jj*stride0, jx = ii*node_data_sz + kk*ndata_cols + jj; 386 PetscScalar tt = (PetscScalar)pc_gamg->data[ix]; 387 ierr = VecSetValues(src_crd, 1, &jx, &tt, INSERT_VALUES);CHKERRQ(ierr); 388 } 389 } 390 } 391 ierr = VecAssemblyBegin(src_crd);CHKERRQ(ierr); 392 ierr = VecAssemblyEnd(src_crd);CHKERRQ(ierr); 393 /* 394 Scatter the element vertex information (still in the original vertex ordering) 395 to the correct processor 396 */ 397 ierr = VecScatterCreate(src_crd, PETSC_NULL, dest_crd, isscat, &vecscat);CHKERRQ(ierr); 398 ierr = ISDestroy(&isscat);CHKERRQ(ierr); 399 ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 400 ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 401 ierr = VecScatterDestroy(&vecscat);CHKERRQ(ierr); 402 ierr = VecDestroy(&src_crd);CHKERRQ(ierr); 403 /* 404 Put the element vertex data into a new allocation of the gdata->ele 405 */ 406 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 407 ierr = PetscMalloc(node_data_sz*ncrs_prim_new*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 408 pc_gamg->data_sz = node_data_sz*ncrs_prim_new; 409 strideNew = ncrs_prim_new*ndata_rows; 410 ierr = VecGetArray(dest_crd, &array);CHKERRQ(ierr); 411 for (jj=0; jj<ndata_cols ; jj++) { 412 for (ii=0 ; ii<ncrs_prim_new ; ii++) { 413 for (kk=0; kk<ndata_rows ; kk++) { 414 PetscInt ix = ii*ndata_rows + kk + jj*strideNew, jx = ii*node_data_sz + kk*ndata_cols + jj; 415 pc_gamg->data[ix] = PetscRealPart(array[jx]); 416 } 417 } 418 } 419 ierr = VecRestoreArray(dest_crd, &array);CHKERRQ(ierr); 420 ierr = VecDestroy(&dest_crd);CHKERRQ(ierr); 421 422 /* move A and P (columns) with new layout */ 423 #if defined PETSC_GAMG_USE_LOG 424 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 425 #endif 426 427 /* 428 Invert for MatGetSubMatrix 429 */ 430 ierr = ISInvertPermutation(is_eq_num, ncrs_eq_new, &new_eq_indices);CHKERRQ(ierr); 431 ierr = ISSort(new_eq_indices);CHKERRQ(ierr); /* is this needed? */ 432 ierr = ISSetBlockSize(new_eq_indices, cr_bs);CHKERRQ(ierr); 433 if (is_eq_num != is_eq_num_prim) { 434 ierr = ISDestroy(&is_eq_num_prim);CHKERRQ(ierr); /* could be same as 'is_eq_num' */ 435 } 436 ierr = ISDestroy(&is_eq_num);CHKERRQ(ierr); 437 #if defined PETSC_GAMG_USE_LOG 438 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 439 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 440 #endif 441 /* 'a_Amat_crs' output */ 442 { 443 Mat mat; 444 ierr = MatGetSubMatrix(Cmat, new_eq_indices, new_eq_indices, MAT_INITIAL_MATRIX, &mat);CHKERRQ(ierr); 445 *a_Amat_crs = mat; 446 447 if (!PETSC_TRUE) { 448 PetscInt cbs, rbs; 449 ierr = MatGetBlockSizes(Cmat, &rbs, &cbs);CHKERRQ(ierr); 450 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Old Mat rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 451 ierr = MatGetBlockSizes(mat, &rbs, &cbs);CHKERRQ(ierr); 452 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s New Mat rbs=%d cbs=%d cr_bs=%d\n",rank,__FUNCT__,rbs,cbs,cr_bs);CHKERRQ(ierr); 453 } 454 } 455 ierr = MatDestroy(&Cmat);CHKERRQ(ierr); 456 457 #if defined PETSC_GAMG_USE_LOG 458 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 459 #endif 460 /* prolongator */ 461 { 462 IS findices; 463 PetscInt Istart,Iend; 464 Mat Pnew; 465 ierr = MatGetOwnershipRange(Pold, &Istart, &Iend);CHKERRQ(ierr); 466 #if defined PETSC_GAMG_USE_LOG 467 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 468 #endif 469 ierr = ISCreateStride(wcomm,Iend-Istart,Istart,1,&findices);CHKERRQ(ierr); 470 ierr = ISSetBlockSize(findices,f_bs);CHKERRQ(ierr); 471 ierr = MatGetSubMatrix(Pold, findices, new_eq_indices, MAT_INITIAL_MATRIX, &Pnew);CHKERRQ(ierr); 472 ierr = ISDestroy(&findices);CHKERRQ(ierr); 473 474 if (!PETSC_TRUE) { 475 PetscInt cbs, rbs; 476 ierr = MatGetBlockSizes(Pold, &rbs, &cbs);CHKERRQ(ierr); 477 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pold rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 478 ierr = MatGetBlockSizes(Pnew, &rbs, &cbs);CHKERRQ(ierr); 479 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pnew rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 480 } 481 #if defined PETSC_GAMG_USE_LOG 482 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 483 #endif 484 ierr = MatDestroy(a_P_inout);CHKERRQ(ierr); 485 486 /* output - repartitioned */ 487 *a_P_inout = Pnew; 488 } 489 ierr = ISDestroy(&new_eq_indices);CHKERRQ(ierr); 490 491 *a_nactive_proc = new_size; /* output */ 492 } 493 494 /* outout matrix data */ 495 if (!PETSC_TRUE) { 496 PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; 497 if (llev==0) { 498 sprintf(fname,"Cmat_%d.m",llev++); 499 PetscViewerASCIIOpen(wcomm,fname,&viewer); 500 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 501 ierr = MatView(Amat_fine, viewer);CHKERRQ(ierr); 502 ierr = PetscViewerDestroy(&viewer); 503 } 504 sprintf(fname,"Cmat_%d.m",llev++); 505 PetscViewerASCIIOpen(wcomm,fname,&viewer); 506 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 507 ierr = MatView(Cmat, viewer);CHKERRQ(ierr); 508 ierr = PetscViewerDestroy(&viewer); 509 } 510 PetscFunctionReturn(0); 511 } 512 513 /* -------------------------------------------------------------------------- */ 514 /* 515 PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner 516 by setting data structures and options. 517 518 Input Parameter: 519 . pc - the preconditioner context 520 521 Application Interface Routine: PCSetUp() 522 523 Notes: 524 The interface routine PCSetUp() is not usually called directly by 525 the user, but instead is called by PCApply() if necessary. 526 */ 527 #undef __FUNCT__ 528 #define __FUNCT__ "PCSetUp_GAMG" 529 PetscErrorCode PCSetUp_GAMG(PC pc) 530 { 531 PetscErrorCode ierr; 532 PC_MG *mg = (PC_MG*)pc->data; 533 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 534 Mat Pmat = pc->pmat; 535 PetscInt fine_level,level,level1,bs,M,qq,lidx,nASMBlocksArr[GAMG_MAXLEVELS]; 536 MPI_Comm wcomm = ((PetscObject)pc)->comm; 537 PetscMPIInt rank,size,nactivepe; 538 Mat Aarr[GAMG_MAXLEVELS],Parr[GAMG_MAXLEVELS]; 539 PetscReal emaxs[GAMG_MAXLEVELS]; 540 IS *ASMLocalIDsArr[GAMG_MAXLEVELS]; 541 GAMGKKTMat kktMatsArr[GAMG_MAXLEVELS]; 542 PetscLogDouble nnz0=0.,nnztot=0.; 543 MatInfo info; 544 PetscBool stokes = PETSC_FALSE, redo_mesh_setup = (PetscBool)(!pc_gamg->reuse_prol); 545 546 PetscFunctionBegin; 547 ierr = MPI_Comm_rank(wcomm,&rank);CHKERRQ(ierr); 548 ierr = MPI_Comm_size(wcomm,&size);CHKERRQ(ierr); 549 550 if (pc_gamg->verbose>2) PetscPrintf(wcomm,"[%d]%s pc_gamg->setup_count=%d pc->setupcalled=%d\n",rank,__FUNCT__,pc_gamg->setup_count,pc->setupcalled); 551 552 if (pc_gamg->setup_count++ > 0) { 553 if (redo_mesh_setup) { 554 /* reset everything */ 555 ierr = PCReset_MG(pc);CHKERRQ(ierr); 556 pc->setupcalled = 0; 557 } else { 558 PC_MG_Levels **mglevels = mg->levels; 559 /* just do Galerkin grids */ 560 Mat B,dA,dB; 561 assert(pc->setupcalled); 562 563 if (pc_gamg->Nlevels > 1) { 564 /* currently only handle case where mat and pmat are the same on coarser levels */ 565 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); 566 /* (re)set to get dirty flag */ 567 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 568 569 for (level=pc_gamg->Nlevels-2; level>-1; level--) { 570 /* the first time through the matrix structure has changed from repartitioning */ 571 if (pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { 572 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 573 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 574 mglevels[level]->A = B; 575 } else { 576 ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); 577 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 578 } 579 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 580 dB = B; 581 } 582 } 583 584 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 585 586 /* PCSetUp_MG seems to insists on setting this to GMRES */ 587 ierr = KSPSetType(mglevels[0]->smoothd, KSPPREONLY);CHKERRQ(ierr); 588 PetscFunctionReturn(0); 589 } 590 } 591 592 ierr = PetscOptionsGetBool(((PetscObject)pc)->prefix,"-pc_fieldsplit_detect_saddle_point",&stokes,PETSC_NULL);CHKERRQ(ierr); 593 594 ierr = GAMGKKTMatCreate(Pmat, stokes, &kktMatsArr[0]);CHKERRQ(ierr); 595 596 if (!pc_gamg->data) { 597 if (pc_gamg->orig_data) { 598 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 599 ierr = MatGetLocalSize(Pmat, &qq, PETSC_NULL);CHKERRQ(ierr); 600 pc_gamg->data_sz = (qq/bs)*pc_gamg->orig_data_cell_rows*pc_gamg->orig_data_cell_cols; 601 pc_gamg->data_cell_rows = pc_gamg->orig_data_cell_rows; 602 pc_gamg->data_cell_cols = pc_gamg->orig_data_cell_cols; 603 ierr = PetscMalloc(pc_gamg->data_sz*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 604 for (qq=0;qq<pc_gamg->data_sz;qq++) pc_gamg->data[qq] = pc_gamg->orig_data[qq]; 605 } else { 606 if (!pc_gamg->createdefaultdata) SETERRQ(wcomm,PETSC_ERR_PLIB,"'createdefaultdata' not set(?) need to support NULL data"); 607 if (stokes) SETERRQ(wcomm,PETSC_ERR_PLIB,"Need data (eg, PCSetCoordinates) for Stokes problems"); 608 ierr = pc_gamg->createdefaultdata(pc, kktMatsArr[0].A11);CHKERRQ(ierr); 609 } 610 } 611 612 /* cache original data for reuse */ 613 if (!pc_gamg->orig_data && redo_mesh_setup) { 614 ierr = PetscMalloc(pc_gamg->data_sz*sizeof(PetscReal), &pc_gamg->orig_data);CHKERRQ(ierr); 615 for (qq=0;qq<pc_gamg->data_sz;qq++) pc_gamg->orig_data[qq] = pc_gamg->data[qq]; 616 pc_gamg->orig_data_cell_rows = pc_gamg->data_cell_rows; 617 pc_gamg->orig_data_cell_cols = pc_gamg->data_cell_cols; 618 } 619 620 /* get basic dims */ 621 if (stokes) { 622 bs = pc_gamg->data_cell_rows; /* this is agg-mg specific */ 623 } else { 624 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 625 } 626 627 ierr = MatGetSize(Pmat, &M, &qq);CHKERRQ(ierr); 628 if (pc_gamg->verbose) { 629 PetscInt NN = M; 630 if (pc_gamg->verbose==1) { 631 ierr = MatGetInfo(Pmat,MAT_LOCAL,&info);CHKERRQ(ierr); 632 ierr = MatGetLocalSize(Pmat, &NN, &qq);CHKERRQ(ierr); 633 } else { 634 ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info);CHKERRQ(ierr); 635 } 636 nnz0 = info.nz_used; 637 nnztot = info.nz_used; 638 ierr = PetscPrintf(wcomm,"\t[%d]%s level %d N=%d, n data rows=%d, n data cols=%d, nnz/row (ave)=%d, np=%d\n", 639 rank,__FUNCT__,0,M,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 640 (int)(nnz0/(PetscReal)NN),size);CHKERRQ(ierr); 641 } 642 643 /* Get A_i and R_i */ 644 for (level=0, Aarr[0]=Pmat, nactivepe = size; /* hard wired stopping logic */ 645 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (size==1 || nactivepe>1); */ 646 level++) { 647 level1 = level + 1; 648 #if defined PETSC_GAMG_USE_LOG 649 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 650 #if (defined GAMG_STAGES) 651 ierr = PetscLogStagePush(gamg_stages[level]);CHKERRQ(ierr); 652 #endif 653 #endif 654 /* deal with Stokes, get sub matrices */ 655 if (level > 0) { 656 ierr = GAMGKKTMatCreate(Aarr[level], stokes, &kktMatsArr[level]);CHKERRQ(ierr); 657 } 658 { /* construct prolongator */ 659 Mat Gmat; 660 PetscCoarsenData *agg_lists; 661 Mat Prol11,Prol22; 662 663 ierr = pc_gamg->graph(pc,kktMatsArr[level].A11, &Gmat);CHKERRQ(ierr); 664 ierr = pc_gamg->coarsen(pc, &Gmat, &agg_lists);CHKERRQ(ierr); 665 ierr = pc_gamg->prolongator(pc, kktMatsArr[level].A11, Gmat, agg_lists, &Prol11);CHKERRQ(ierr); 666 667 /* could have failed to create new level */ 668 if (Prol11) { 669 /* get new block size of coarse matrices */ 670 ierr = MatGetBlockSizes(Prol11, PETSC_NULL, &bs);CHKERRQ(ierr); 671 672 if (stokes) { 673 if (!pc_gamg->formkktprol) SETERRQ(wcomm,PETSC_ERR_USER,"Stokes not supportd by AMG method."); 674 /* R A12 == (T = A21 P)'; G = T' T; coarsen G; form plain agg with G */ 675 ierr = pc_gamg->formkktprol(pc, Prol11, kktMatsArr[level].A21, &Prol22);CHKERRQ(ierr); 676 } 677 678 if (pc_gamg->optprol) { 679 /* smooth */ 680 ierr = pc_gamg->optprol(pc, kktMatsArr[level].A11, &Prol11);CHKERRQ(ierr); 681 } 682 683 if (stokes) { 684 IS is_row[2]; 685 Mat a[4]; 686 687 is_row[0] = kktMatsArr[level].prim_is; is_row[1] = kktMatsArr[level].constr_is; 688 a[0] = Prol11; a[1] = PETSC_NULL; a[2] = PETSC_NULL; a[3] = Prol22; 689 ierr = MatCreateNest(wcomm,2,is_row, 2, is_row, a, &Parr[level1]);CHKERRQ(ierr); 690 } else { 691 Parr[level1] = Prol11; 692 } 693 } else Parr[level1] = PETSC_NULL; 694 695 if (pc_gamg->use_aggs_in_gasm) { 696 ierr = PetscCDGetASMBlocks(agg_lists, bs, &nASMBlocksArr[level], &ASMLocalIDsArr[level]);CHKERRQ(ierr); 697 } 698 699 ierr = MatDestroy(&Gmat);CHKERRQ(ierr); 700 ierr = PetscCDDestroy(agg_lists);CHKERRQ(ierr); 701 } /* construct prolongator scope */ 702 #if defined PETSC_GAMG_USE_LOG 703 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 704 #endif 705 /* cache eigen estimate */ 706 if (pc_gamg->emax_id != -1) { 707 PetscBool flag; 708 ierr = PetscObjectComposedDataGetReal((PetscObject)kktMatsArr[level].A11, pc_gamg->emax_id, emaxs[level], flag);CHKERRQ(ierr); 709 if (!flag) emaxs[level] = -1.; 710 } else emaxs[level] = -1.; 711 if (level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 712 if (!Parr[level1]) { 713 if (pc_gamg->verbose) { 714 ierr = PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",rank,__FUNCT__,level);CHKERRQ(ierr); 715 } 716 break; 717 } 718 #if defined PETSC_GAMG_USE_LOG 719 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 720 #endif 721 722 ierr = createLevel(pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), 723 stokes, &Parr[level1], &Aarr[level1], &nactivepe);CHKERRQ(ierr); 724 725 #if defined PETSC_GAMG_USE_LOG 726 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 727 #endif 728 ierr = MatGetSize(Aarr[level1], &M, &qq);CHKERRQ(ierr); 729 730 if (pc_gamg->verbose > 0) { 731 PetscInt NN = M; 732 if (pc_gamg->verbose==1) { 733 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info);CHKERRQ(ierr); 734 ierr = MatGetLocalSize(Aarr[level1], &NN, &qq);CHKERRQ(ierr); 735 } else { 736 ierr = MatGetInfo(Aarr[level1], MAT_GLOBAL_SUM, &info);CHKERRQ(ierr); 737 } 738 739 nnztot += info.nz_used; 740 ierr = PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 741 rank,__FUNCT__,(int)level1,M,pc_gamg->data_cell_cols, 742 (int)(info.nz_used/(PetscReal)NN), nactivepe);CHKERRQ(ierr); 743 } 744 745 /* stop if one node -- could pull back for singular problems */ 746 if (M/pc_gamg->data_cell_cols < 2) { 747 level++; 748 break; 749 } 750 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 751 ierr = PetscLogStagePop();CHKERRQ(ierr); 752 #endif 753 } /* levels */ 754 755 if (pc_gamg->data) { 756 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 757 pc_gamg->data = PETSC_NULL; 758 } 759 760 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 761 pc_gamg->Nlevels = level + 1; 762 fine_level = level; 763 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 764 765 /* simple setup */ 766 if (!PETSC_TRUE) { 767 PC_MG_Levels **mglevels = mg->levels; 768 for (lidx=0,level=pc_gamg->Nlevels-1; 769 lidx<fine_level; 770 lidx++, level--) { 771 ierr = PCMGSetInterpolation(pc, lidx+1, Parr[level]);CHKERRQ(ierr); 772 ierr = KSPSetOperators(mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 773 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 774 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 775 } 776 ierr = KSPSetOperators(mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 777 778 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 779 } else if (pc_gamg->Nlevels > 1) { /* don't setup MG if one level */ 780 /* set default smoothers & set operators */ 781 for (lidx = 1, level = pc_gamg->Nlevels-2; 782 lidx <= fine_level; 783 lidx++, level--) { 784 KSP smoother; 785 PC subpc; 786 787 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 788 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 789 790 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 791 /* set ops */ 792 ierr = KSPSetOperators(smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 793 ierr = PCMGSetInterpolation(pc, lidx, Parr[level+1]);CHKERRQ(ierr); 794 795 /* create field split PC, get subsmoother */ 796 if (stokes) { 797 KSP *ksps; 798 PetscInt nn; 799 ierr = PCFieldSplitSetIS(subpc,"0",kktMatsArr[level].prim_is);CHKERRQ(ierr); 800 ierr = PCFieldSplitSetIS(subpc,"1",kktMatsArr[level].constr_is);CHKERRQ(ierr); 801 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 802 smoother = ksps[0]; 803 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 804 ierr = PetscFree(ksps);CHKERRQ(ierr); 805 } 806 ierr = GAMGKKTMatDestroy(&kktMatsArr[level]);CHKERRQ(ierr); 807 808 /* set defaults */ 809 ierr = KSPSetType(smoother, KSPCHEBYSHEV);CHKERRQ(ierr); 810 811 /* override defaults and command line args (!) */ 812 if (pc_gamg->use_aggs_in_gasm) { 813 PetscInt sz; 814 IS *is; 815 816 sz = nASMBlocksArr[level]; 817 is = ASMLocalIDsArr[level]; 818 ierr = PCSetType(subpc, PCGASM);CHKERRQ(ierr); 819 if (sz==0) { 820 IS is; 821 PetscInt my0,kk; 822 ierr = MatGetOwnershipRange(Aarr[level], &my0, &kk);CHKERRQ(ierr); 823 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is);CHKERRQ(ierr); 824 ierr = PCGASMSetSubdomains(subpc, 1, &is, PETSC_NULL);CHKERRQ(ierr); 825 ierr = ISDestroy(&is);CHKERRQ(ierr); 826 } else { 827 PetscInt kk; 828 ierr = PCGASMSetSubdomains(subpc, sz, is, PETSC_NULL);CHKERRQ(ierr); 829 for (kk=0;kk<sz;kk++) { 830 ierr = ISDestroy(&is[kk]);CHKERRQ(ierr); 831 } 832 ierr = PetscFree(is);CHKERRQ(ierr); 833 } 834 ierr = PCGASMSetOverlap(subpc, 0);CHKERRQ(ierr); 835 836 ASMLocalIDsArr[level] = PETSC_NULL; 837 nASMBlocksArr[level] = 0; 838 ierr = PCGASMSetType(subpc, PC_GASM_BASIC);CHKERRQ(ierr); 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 ierr = PCFactorSetShiftType(pc2,MAT_SHIFT_INBLOCKS);CHKERRQ(ierr); 857 } 858 859 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 860 ierr = PetscObjectOptionsBegin((PetscObject)pc);CHKERRQ(ierr); 861 ierr = PCSetFromOptions_MG(pc);CHKERRQ(ierr); 862 ierr = PetscOptionsEnd();CHKERRQ(ierr); 863 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 864 865 /* create cheby smoothers */ 866 for (lidx = 1, level = pc_gamg->Nlevels-2; 867 lidx <= fine_level; 868 lidx++, level--) { 869 KSP smoother; 870 PetscBool flag; 871 PC subpc; 872 873 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 874 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 875 876 /* create field split PC, get subsmoother */ 877 if (stokes) { 878 KSP *ksps; 879 PetscInt nn; 880 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 881 smoother = ksps[0]; 882 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 883 ierr = PetscFree(ksps);CHKERRQ(ierr); 884 } 885 886 /* do my own cheby */ 887 ierr = PetscObjectTypeCompare((PetscObject)smoother, KSPCHEBYSHEV, &flag);CHKERRQ(ierr); 888 if (flag) { 889 PetscReal emax, emin; 890 ierr = PetscObjectTypeCompare((PetscObject)subpc, PCJACOBI, &flag);CHKERRQ(ierr); 891 if (flag && emaxs[level] > 0.0) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 892 else { /* eigen estimate 'emax' */ 893 KSP eksp; 894 Mat Lmat = Aarr[level]; 895 Vec bb, xx; 896 897 ierr = MatGetVecs(Lmat, &bb, 0);CHKERRQ(ierr); 898 ierr = MatGetVecs(Lmat, &xx, 0);CHKERRQ(ierr); 899 { 900 PetscRandom rctx; 901 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 902 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 903 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 904 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 905 } 906 907 /* zeroing out BC rows -- needed for crazy matrices */ 908 { 909 PetscInt Istart,Iend,ncols,jj,Ii; 910 PetscScalar zero = 0.0; 911 ierr = MatGetOwnershipRange(Lmat, &Istart, &Iend);CHKERRQ(ierr); 912 for (Ii = Istart, jj = 0 ; Ii < Iend ; Ii++, jj++) { 913 ierr = MatGetRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 914 if (ncols <= 1) { 915 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 916 } 917 ierr = MatRestoreRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 918 } 919 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 920 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 921 } 922 923 ierr = KSPCreate(wcomm, &eksp);CHKERRQ(ierr); 924 ierr = KSPSetTolerances(eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10);CHKERRQ(ierr); 925 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 926 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 927 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 928 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 929 930 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 931 ierr = KSPSetOperators(eksp, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 932 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 933 934 /* set PC type to be same as smoother */ 935 ierr = KSPSetPC(eksp, subpc);CHKERRQ(ierr); 936 937 /* solve - keep stuff out of logging */ 938 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 939 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 940 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 941 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 942 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 943 944 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 945 946 ierr = VecDestroy(&xx);CHKERRQ(ierr); 947 ierr = VecDestroy(&bb);CHKERRQ(ierr); 948 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 949 950 if (pc_gamg->verbose > 0) { 951 PetscInt N1, tt; 952 ierr = MatGetSize(Aarr[level], &N1, &tt);CHKERRQ(ierr); 953 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 954 } 955 } 956 { 957 PetscInt N1, N0; 958 ierr = MatGetSize(Aarr[level], &N1, PETSC_NULL);CHKERRQ(ierr); 959 ierr = MatGetSize(Aarr[level+1], &N0, PETSC_NULL);CHKERRQ(ierr); 960 /* heuristic - is this crap? */ 961 /* emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); */ 962 emin = emax * pc_gamg->eigtarget[0]; 963 emax *= pc_gamg->eigtarget[1]; 964 } 965 ierr = KSPChebyshevSetEigenvalues(smoother, emax, emin);CHKERRQ(ierr); 966 } /* setup checby flag */ 967 } /* non-coarse levels */ 968 969 /* clean up */ 970 for (level=1;level<pc_gamg->Nlevels;level++) { 971 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 972 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 973 } 974 975 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 976 977 if (PETSC_TRUE) { 978 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 979 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 980 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 981 } 982 } else { 983 KSP smoother; 984 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",rank,__FUNCT__); 985 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 986 ierr = KSPSetOperators(smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 987 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 988 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 989 } 990 PetscFunctionReturn(0); 991 } 992 993 /* ------------------------------------------------------------------------- */ 994 /* 995 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 996 that was created with PCCreate_GAMG(). 997 998 Input Parameter: 999 . pc - the preconditioner context 1000 1001 Application Interface Routine: PCDestroy() 1002 */ 1003 #undef __FUNCT__ 1004 #define __FUNCT__ "PCDestroy_GAMG" 1005 PetscErrorCode PCDestroy_GAMG(PC pc) 1006 { 1007 PetscErrorCode ierr; 1008 PC_MG *mg = (PC_MG*)pc->data; 1009 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 1010 1011 PetscFunctionBegin; 1012 ierr = PCReset_GAMG(pc);CHKERRQ(ierr); 1013 ierr = PetscFree(pc_gamg);CHKERRQ(ierr); 1014 ierr = PCDestroy_MG(pc);CHKERRQ(ierr); 1015 PetscFunctionReturn(0); 1016 } 1017 1018 1019 #undef __FUNCT__ 1020 #define __FUNCT__ "PCGAMGSetProcEqLim" 1021 /*@ 1022 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 1023 processor reduction. 1024 1025 Not Collective on PC 1026 1027 Input Parameters: 1028 . pc - the preconditioner context 1029 1030 1031 Options Database Key: 1032 . -pc_gamg_process_eq_limit 1033 1034 Level: intermediate 1035 1036 Concepts: Unstructured multrigrid preconditioner 1037 1038 .seealso: () 1039 @*/ 1040 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 1041 { 1042 PetscErrorCode ierr; 1043 1044 PetscFunctionBegin; 1045 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1046 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1047 PetscFunctionReturn(0); 1048 } 1049 1050 EXTERN_C_BEGIN 1051 #undef __FUNCT__ 1052 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 1053 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 1054 { 1055 PC_MG *mg = (PC_MG*)pc->data; 1056 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1057 1058 PetscFunctionBegin; 1059 if (n>0) pc_gamg->min_eq_proc = n; 1060 PetscFunctionReturn(0); 1061 } 1062 EXTERN_C_END 1063 1064 #undef __FUNCT__ 1065 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 1066 /*@ 1067 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 1068 1069 Collective on PC 1070 1071 Input Parameters: 1072 . pc - the preconditioner context 1073 1074 1075 Options Database Key: 1076 . -pc_gamg_coarse_eq_limit 1077 1078 Level: intermediate 1079 1080 Concepts: Unstructured multrigrid preconditioner 1081 1082 .seealso: () 1083 @*/ 1084 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 1085 { 1086 PetscErrorCode ierr; 1087 1088 PetscFunctionBegin; 1089 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1090 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1091 PetscFunctionReturn(0); 1092 } 1093 1094 EXTERN_C_BEGIN 1095 #undef __FUNCT__ 1096 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 1097 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 1098 { 1099 PC_MG *mg = (PC_MG*)pc->data; 1100 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1101 1102 PetscFunctionBegin; 1103 if (n>0) pc_gamg->coarse_eq_limit = n; 1104 PetscFunctionReturn(0); 1105 } 1106 EXTERN_C_END 1107 1108 #undef __FUNCT__ 1109 #define __FUNCT__ "PCGAMGSetRepartitioning" 1110 /*@ 1111 PCGAMGSetRepartitioning - Repartition the coarse grids 1112 1113 Collective on PC 1114 1115 Input Parameters: 1116 . pc - the preconditioner context 1117 1118 1119 Options Database Key: 1120 . -pc_gamg_repartition 1121 1122 Level: intermediate 1123 1124 Concepts: Unstructured multrigrid preconditioner 1125 1126 .seealso: () 1127 @*/ 1128 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 1129 { 1130 PetscErrorCode ierr; 1131 1132 PetscFunctionBegin; 1133 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1134 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1135 PetscFunctionReturn(0); 1136 } 1137 1138 EXTERN_C_BEGIN 1139 #undef __FUNCT__ 1140 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1141 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1142 { 1143 PC_MG *mg = (PC_MG*)pc->data; 1144 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1145 1146 PetscFunctionBegin; 1147 pc_gamg->repart = n; 1148 PetscFunctionReturn(0); 1149 } 1150 EXTERN_C_END 1151 1152 #undef __FUNCT__ 1153 #define __FUNCT__ "PCGAMGSetReuseProl" 1154 /*@ 1155 PCGAMGSetReuseProl - Reuse prlongation 1156 1157 Collective on PC 1158 1159 Input Parameters: 1160 . pc - the preconditioner context 1161 1162 1163 Options Database Key: 1164 . -pc_gamg_reuse_interpolation 1165 1166 Level: intermediate 1167 1168 Concepts: Unstructured multrigrid preconditioner 1169 1170 .seealso: () 1171 @*/ 1172 PetscErrorCode PCGAMGSetReuseProl(PC pc, PetscBool n) 1173 { 1174 PetscErrorCode ierr; 1175 1176 PetscFunctionBegin; 1177 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1178 ierr = PetscTryMethod(pc,"PCGAMGSetReuseProl_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1179 PetscFunctionReturn(0); 1180 } 1181 1182 EXTERN_C_BEGIN 1183 #undef __FUNCT__ 1184 #define __FUNCT__ "PCGAMGSetReuseProl_GAMG" 1185 PetscErrorCode PCGAMGSetReuseProl_GAMG(PC pc, PetscBool n) 1186 { 1187 PC_MG *mg = (PC_MG*)pc->data; 1188 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1189 1190 PetscFunctionBegin; 1191 pc_gamg->reuse_prol = n; 1192 PetscFunctionReturn(0); 1193 } 1194 EXTERN_C_END 1195 1196 #undef __FUNCT__ 1197 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1198 /*@ 1199 PCGAMGSetUseASMAggs - 1200 1201 Collective on PC 1202 1203 Input Parameters: 1204 . pc - the preconditioner context 1205 1206 1207 Options Database Key: 1208 . -pc_gamg_use_agg_gasm 1209 1210 Level: intermediate 1211 1212 Concepts: Unstructured multrigrid preconditioner 1213 1214 .seealso: () 1215 @*/ 1216 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1217 { 1218 PetscErrorCode ierr; 1219 1220 PetscFunctionBegin; 1221 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1222 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1223 PetscFunctionReturn(0); 1224 } 1225 1226 EXTERN_C_BEGIN 1227 #undef __FUNCT__ 1228 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1229 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1230 { 1231 PC_MG *mg = (PC_MG*)pc->data; 1232 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1233 1234 PetscFunctionBegin; 1235 pc_gamg->use_aggs_in_gasm = n; 1236 PetscFunctionReturn(0); 1237 } 1238 EXTERN_C_END 1239 1240 #undef __FUNCT__ 1241 #define __FUNCT__ "PCGAMGSetNlevels" 1242 /*@ 1243 PCGAMGSetNlevels - 1244 1245 Not collective on PC 1246 1247 Input Parameters: 1248 . pc - the preconditioner context 1249 1250 1251 Options Database Key: 1252 . -pc_mg_levels 1253 1254 Level: intermediate 1255 1256 Concepts: Unstructured multrigrid preconditioner 1257 1258 .seealso: () 1259 @*/ 1260 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1261 { 1262 PetscErrorCode ierr; 1263 1264 PetscFunctionBegin; 1265 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1266 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1267 PetscFunctionReturn(0); 1268 } 1269 1270 EXTERN_C_BEGIN 1271 #undef __FUNCT__ 1272 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1273 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1274 { 1275 PC_MG *mg = (PC_MG*)pc->data; 1276 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1277 1278 PetscFunctionBegin; 1279 pc_gamg->Nlevels = n; 1280 PetscFunctionReturn(0); 1281 } 1282 EXTERN_C_END 1283 1284 #undef __FUNCT__ 1285 #define __FUNCT__ "PCGAMGSetThreshold" 1286 /*@ 1287 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1288 1289 Not collective on PC 1290 1291 Input Parameters: 1292 . pc - the preconditioner context 1293 1294 1295 Options Database Key: 1296 . -pc_gamg_threshold 1297 1298 Level: intermediate 1299 1300 Concepts: Unstructured multrigrid preconditioner 1301 1302 .seealso: () 1303 @*/ 1304 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1305 { 1306 PetscErrorCode ierr; 1307 1308 PetscFunctionBegin; 1309 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1310 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1311 PetscFunctionReturn(0); 1312 } 1313 1314 EXTERN_C_BEGIN 1315 #undef __FUNCT__ 1316 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1317 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1318 { 1319 PC_MG *mg = (PC_MG*)pc->data; 1320 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1321 1322 PetscFunctionBegin; 1323 pc_gamg->threshold = n; 1324 PetscFunctionReturn(0); 1325 } 1326 EXTERN_C_END 1327 1328 #undef __FUNCT__ 1329 #define __FUNCT__ "PCGAMGSetType" 1330 /*@ 1331 PCGAMGSetType - Set solution method - calls sub create method 1332 1333 Collective on PC 1334 1335 Input Parameters: 1336 . pc - the preconditioner context 1337 1338 1339 Options Database Key: 1340 . -pc_gamg_type 1341 1342 Level: intermediate 1343 1344 Concepts: Unstructured multrigrid preconditioner 1345 1346 .seealso: () 1347 @*/ 1348 PetscErrorCode PCGAMGSetType(PC pc, PCGAMGType type) 1349 { 1350 PetscErrorCode ierr; 1351 1352 PetscFunctionBegin; 1353 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1354 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,PCGAMGType),(pc,type));CHKERRQ(ierr); 1355 PetscFunctionReturn(0); 1356 } 1357 1358 EXTERN_C_BEGIN 1359 #undef __FUNCT__ 1360 #define __FUNCT__ "PCGAMGSetType_GAMG" 1361 PetscErrorCode PCGAMGSetType_GAMG(PC pc, PCGAMGType type) 1362 { 1363 PetscErrorCode ierr,(*r)(PC); 1364 1365 PetscFunctionBegin; 1366 ierr = PetscFunctionListFind(((PetscObject)pc)->comm,GAMGList,type,PETSC_FALSE,(PetscVoidStarFunction)&r);CHKERRQ(ierr); 1367 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1368 ierr = (*r)(pc);CHKERRQ(ierr); 1369 PetscFunctionReturn(0); 1370 } 1371 EXTERN_C_END 1372 1373 #undef __FUNCT__ 1374 #define __FUNCT__ "PCSetFromOptions_GAMG" 1375 PetscErrorCode PCSetFromOptions_GAMG(PC pc) 1376 { 1377 PetscErrorCode ierr; 1378 PC_MG *mg = (PC_MG*)pc->data; 1379 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1380 PetscBool flag; 1381 PetscInt two = 2; 1382 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1383 1384 PetscFunctionBegin; 1385 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1386 { 1387 /* -pc_gamg_verbose */ 1388 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1389 "none", pc_gamg->verbose, 1390 &pc_gamg->verbose, PETSC_NULL);CHKERRQ(ierr); 1391 /* -pc_gamg_repartition */ 1392 ierr = PetscOptionsBool("-pc_gamg_repartition", 1393 "Repartion coarse grids (false)", 1394 "PCGAMGRepartitioning", 1395 pc_gamg->repart, 1396 &pc_gamg->repart, 1397 &flag);CHKERRQ(ierr); 1398 /* -pc_gamg_reuse_interpolation */ 1399 ierr = PetscOptionsBool("-pc_gamg_reuse_interpolation", 1400 "Reuse prolongation operator (true)", 1401 "PCGAMGReuseProl", 1402 pc_gamg->reuse_prol, 1403 &pc_gamg->reuse_prol, 1404 &flag);CHKERRQ(ierr); 1405 /* -pc_gamg_use_agg_gasm */ 1406 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1407 "Use aggregation agragates for GASM smoother (false)", 1408 "PCGAMGUseASMAggs", 1409 pc_gamg->use_aggs_in_gasm, 1410 &pc_gamg->use_aggs_in_gasm, 1411 &flag);CHKERRQ(ierr); 1412 /* -pc_gamg_process_eq_limit */ 1413 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1414 "Limit (goal) on number of equations per process on coarse grids", 1415 "PCGAMGSetProcEqLim", 1416 pc_gamg->min_eq_proc, 1417 &pc_gamg->min_eq_proc, 1418 &flag);CHKERRQ(ierr); 1419 /* -pc_gamg_coarse_eq_limit */ 1420 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1421 "Limit on number of equations for the coarse grid", 1422 "PCGAMGSetCoarseEqLim", 1423 pc_gamg->coarse_eq_limit, 1424 &pc_gamg->coarse_eq_limit, 1425 &flag);CHKERRQ(ierr); 1426 /* -pc_gamg_threshold */ 1427 ierr = PetscOptionsReal("-pc_gamg_threshold", 1428 "Relative threshold to use for dropping edges in aggregation graph", 1429 "PCGAMGSetThreshold", 1430 pc_gamg->threshold, 1431 &pc_gamg->threshold, 1432 &flag);CHKERRQ(ierr); 1433 if (flag && pc_gamg->verbose) { 1434 ierr = PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold);CHKERRQ(ierr); 1435 } 1436 1437 ierr = PetscOptionsRealArray("-pc_gamg_eigtarget","Target eigenvalue range as fraction of estimated maximum eigenvalue","PCGAMGSetEigTarget",pc_gamg->eigtarget,&two,PETSC_NULL);CHKERRQ(ierr); 1438 ierr = PetscOptionsInt("-pc_mg_levels", 1439 "Set number of MG levels", 1440 "PCGAMGSetNlevels", 1441 pc_gamg->Nlevels, 1442 &pc_gamg->Nlevels, 1443 &flag);CHKERRQ(ierr); 1444 } 1445 ierr = PetscOptionsTail();CHKERRQ(ierr); 1446 PetscFunctionReturn(0); 1447 } 1448 1449 /* -------------------------------------------------------------------------- */ 1450 /*MC 1451 PCGAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1452 - This is the entry point to GAMG, registered in pcregis.c 1453 1454 Options Database Keys: 1455 Multigrid options(inherited) 1456 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1457 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1458 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1459 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full kascade 1460 1461 Level: intermediate 1462 1463 Concepts: multigrid 1464 1465 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1466 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1467 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1468 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1469 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1470 M*/ 1471 EXTERN_C_BEGIN 1472 #undef __FUNCT__ 1473 #define __FUNCT__ "PCCreate_GAMG" 1474 PetscErrorCode PCCreate_GAMG(PC pc) 1475 { 1476 PetscErrorCode ierr; 1477 PC_GAMG *pc_gamg; 1478 PC_MG *mg; 1479 #if defined PETSC_GAMG_USE_LOG 1480 static long count = 0; 1481 #endif 1482 1483 PetscFunctionBegin; 1484 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1485 ierr = PCSetType(pc, PCMG);CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1486 ierr = PetscObjectChangeTypeName((PetscObject)pc, PCGAMG);CHKERRQ(ierr); 1487 1488 /* create a supporting struct and attach it to pc */ 1489 ierr = PetscNewLog(pc, PC_GAMG, &pc_gamg);CHKERRQ(ierr); 1490 mg = (PC_MG*)pc->data; 1491 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1492 mg->innerctx = pc_gamg; 1493 1494 pc_gamg->setup_count = 0; 1495 /* these should be in subctx but repartitioning needs simple arrays */ 1496 pc_gamg->data_sz = 0; 1497 pc_gamg->data = 0; 1498 1499 /* register AMG type */ 1500 if (!GAMGList) { 1501 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1502 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1503 } 1504 1505 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1506 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1507 pc->ops->setup = PCSetUp_GAMG; 1508 pc->ops->reset = PCReset_GAMG; 1509 pc->ops->destroy = PCDestroy_GAMG; 1510 1511 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1512 "PCGAMGSetProcEqLim_C", 1513 "PCGAMGSetProcEqLim_GAMG", 1514 PCGAMGSetProcEqLim_GAMG);CHKERRQ(ierr); 1515 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1516 "PCGAMGSetCoarseEqLim_C", 1517 "PCGAMGSetCoarseEqLim_GAMG", 1518 PCGAMGSetCoarseEqLim_GAMG);CHKERRQ(ierr); 1519 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1520 "PCGAMGSetRepartitioning_C", 1521 "PCGAMGSetRepartitioning_GAMG", 1522 PCGAMGSetRepartitioning_GAMG);CHKERRQ(ierr); 1523 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1524 "PCGAMGSetReuseProl_C", 1525 "PCGAMGSetReuseProl_GAMG", 1526 PCGAMGSetReuseProl_GAMG);CHKERRQ(ierr); 1527 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1528 "PCGAMGSetUseASMAggs_C", 1529 "PCGAMGSetUseASMAggs_GAMG", 1530 PCGAMGSetUseASMAggs_GAMG);CHKERRQ(ierr); 1531 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1532 "PCGAMGSetThreshold_C", 1533 "PCGAMGSetThreshold_GAMG", 1534 PCGAMGSetThreshold_GAMG);CHKERRQ(ierr); 1535 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1536 "PCGAMGSetType_C", 1537 "PCGAMGSetType_GAMG", 1538 PCGAMGSetType_GAMG);CHKERRQ(ierr); 1539 pc_gamg->repart = PETSC_FALSE; 1540 pc_gamg->reuse_prol = PETSC_TRUE; 1541 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1542 pc_gamg->min_eq_proc = 100; 1543 pc_gamg->coarse_eq_limit = 800; 1544 pc_gamg->threshold = 0.001; 1545 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1546 pc_gamg->verbose = 0; 1547 pc_gamg->emax_id = -1; 1548 pc_gamg->eigtarget[0] = 0.05; 1549 pc_gamg->eigtarget[1] = 1.05; 1550 1551 /* private events */ 1552 #if defined PETSC_GAMG_USE_LOG 1553 if (count++ == 0) { 1554 ierr = PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]);CHKERRQ(ierr); 1555 ierr = PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]);CHKERRQ(ierr); 1556 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1557 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1558 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1559 ierr = PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]);CHKERRQ(ierr); 1560 ierr = PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]);CHKERRQ(ierr); 1561 ierr = PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]);CHKERRQ(ierr); 1562 ierr = PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]);CHKERRQ(ierr); 1563 ierr = PetscLogEventRegister(" SA: col data", PC_CLASSID, &petsc_gamg_setup_events[SET7]);CHKERRQ(ierr); 1564 ierr = PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]);CHKERRQ(ierr); 1565 ierr = PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]);CHKERRQ(ierr); 1566 ierr = PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]);CHKERRQ(ierr); 1567 ierr = PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]);CHKERRQ(ierr); 1568 ierr = PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]);CHKERRQ(ierr); 1569 ierr = PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]);CHKERRQ(ierr); 1570 ierr = PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]);CHKERRQ(ierr); 1571 1572 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1573 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1574 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1575 /* create timer stages */ 1576 #if defined GAMG_STAGES 1577 { 1578 char str[32]; 1579 PetscInt lidx; 1580 sprintf(str,"MG Level %d (finest)",0); 1581 ierr = PetscLogStageRegister(str, &gamg_stages[0]);CHKERRQ(ierr); 1582 for (lidx=1;lidx<9;lidx++) { 1583 sprintf(str,"MG Level %d",lidx); 1584 ierr = PetscLogStageRegister(str, &gamg_stages[lidx]);CHKERRQ(ierr); 1585 } 1586 } 1587 #endif 1588 } 1589 #endif 1590 /* general events */ 1591 #if defined PETSC_USE_LOG 1592 ierr = PetscLogEventRegister("PCGAMGgraph_AGG", 0, &PC_GAMGGgraph_AGG);CHKERRQ(ierr); 1593 ierr = PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO);CHKERRQ(ierr); 1594 ierr = PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG);CHKERRQ(ierr); 1595 ierr = PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO);CHKERRQ(ierr); 1596 ierr = PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG);CHKERRQ(ierr); 1597 ierr = PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO);CHKERRQ(ierr); 1598 ierr = PetscLogEventRegister("PCGAMGPOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG);CHKERRQ(ierr); 1599 ierr = PetscLogEventRegister("GAMGKKTProl_AGG", PC_CLASSID, &PC_GAMGKKTProl_AGG);CHKERRQ(ierr); 1600 #endif 1601 1602 /* instantiate derived type */ 1603 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1604 { 1605 char tname[256] = GAMGAGG; 1606 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType",GAMGList, tname, tname, sizeof(tname), PETSC_NULL);CHKERRQ(ierr); 1607 ierr = PCGAMGSetType(pc, tname);CHKERRQ(ierr); 1608 } 1609 ierr = PetscOptionsTail();CHKERRQ(ierr); 1610 PetscFunctionReturn(0); 1611 } 1612 EXTERN_C_END 1613