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 52 PetscFunctionReturn(0); 53 } 54 55 /* private 2x2 Mat Nest for Stokes */ 56 typedef struct{ 57 Mat A11,A21,A12,Amat; 58 IS prim_is,constr_is; 59 }GAMGKKTMat; 60 61 #undef __FUNCT__ 62 #define __FUNCT__ "GAMGKKTMatCreate" 63 static PetscErrorCode GAMGKKTMatCreate(Mat A, PetscBool iskkt, GAMGKKTMat *out) 64 { 65 PetscFunctionBegin; 66 out->Amat = A; 67 if (iskkt) { 68 PetscErrorCode ierr; 69 IS is_constraint, is_prime; 70 PetscInt nmin,nmax; 71 72 ierr = MatGetOwnershipRange(A, &nmin, &nmax);CHKERRQ(ierr); 73 ierr = MatFindZeroDiagonals(A, &is_constraint);CHKERRQ(ierr); 74 ierr = ISComplement(is_constraint, nmin, nmax, &is_prime);CHKERRQ(ierr); 75 out->prim_is = is_prime; 76 out->constr_is = is_constraint; 77 78 ierr = MatGetSubMatrix(A, is_prime, is_prime, MAT_INITIAL_MATRIX, &out->A11);CHKERRQ(ierr); 79 ierr = MatGetSubMatrix(A, is_prime, is_constraint, MAT_INITIAL_MATRIX, &out->A12);CHKERRQ(ierr); 80 ierr = MatGetSubMatrix(A, is_constraint, is_prime, MAT_INITIAL_MATRIX, &out->A21);CHKERRQ(ierr); 81 } else { 82 out->A11 = A; 83 out->A21 = PETSC_NULL; 84 out->A12 = PETSC_NULL; 85 out->prim_is = PETSC_NULL; 86 out->constr_is = PETSC_NULL; 87 } 88 PetscFunctionReturn(0); 89 } 90 91 #undef __FUNCT__ 92 #define __FUNCT__ "GAMGKKTMatDestroy" 93 static PetscErrorCode GAMGKKTMatDestroy(GAMGKKTMat *mat) 94 { 95 PetscErrorCode ierr; 96 97 PetscFunctionBegin; 98 if (mat->A11 && mat->A11 != mat->Amat) { 99 ierr = MatDestroy(&mat->A11);CHKERRQ(ierr); 100 } 101 ierr = MatDestroy(&mat->A21);CHKERRQ(ierr); 102 ierr = MatDestroy(&mat->A12);CHKERRQ(ierr); 103 104 ierr = ISDestroy(&mat->prim_is);CHKERRQ(ierr); 105 ierr = ISDestroy(&mat->constr_is);CHKERRQ(ierr); 106 107 PetscFunctionReturn(0); 108 } 109 110 /* -------------------------------------------------------------------------- */ 111 /* 112 createLevel: create coarse op with RAP. repartition and/or reduce number 113 of active processors. 114 115 Input Parameter: 116 . pc - parameters + side effect: coarse data in 'pc_gamg->data' and 117 'pc_gamg->data_sz' are changed via repartitioning/reduction. 118 . Amat_fine - matrix on this fine (k) level 119 . cr_bs - coarse block size 120 . isLast - 121 . stokes - 122 In/Output Parameter: 123 . a_P_inout - prolongation operator to the next level (k-->k-1) 124 . a_nactive_proc - number of active procs 125 Output Parameter: 126 . a_Amat_crs - coarse matrix that is created (k-1) 127 */ 128 129 #undef __FUNCT__ 130 #define __FUNCT__ "createLevel" 131 static PetscErrorCode createLevel(const PC pc, 132 const Mat Amat_fine, 133 const PetscInt cr_bs, 134 const PetscBool isLast, 135 const PetscBool stokes, 136 Mat *a_P_inout, 137 Mat *a_Amat_crs, 138 PetscMPIInt *a_nactive_proc) 139 { 140 PetscErrorCode ierr; 141 PC_MG *mg = (PC_MG*)pc->data; 142 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 143 const PetscBool repart = pc_gamg->repart; 144 const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; 145 Mat Cmat,Pold=*a_P_inout; 146 MPI_Comm wcomm = ((PetscObject)Amat_fine)->comm; 147 PetscMPIInt mype,npe,new_npe,nactive=*a_nactive_proc; 148 PetscInt ncrs_eq,ncrs_prim,f_bs; 149 150 PetscFunctionBegin; 151 ierr = MPI_Comm_rank(wcomm, &mype);CHKERRQ(ierr); 152 ierr = MPI_Comm_size(wcomm, &npe);CHKERRQ(ierr); 153 ierr = MatGetBlockSize(Amat_fine, &f_bs);CHKERRQ(ierr); 154 /* RAP */ 155 ierr = MatPtAP(Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat);CHKERRQ(ierr); 156 157 /* set 'ncrs_prim' (nodes), 'ncrs_eq' (equations)*/ 158 ncrs_prim = pc_gamg->data_sz/pc_gamg->data_cell_cols/pc_gamg->data_cell_rows; 159 assert(pc_gamg->data_sz%(pc_gamg->data_cell_cols*pc_gamg->data_cell_rows)==0); 160 ierr = MatGetLocalSize(Cmat, &ncrs_eq, PETSC_NULL);CHKERRQ(ierr); 161 162 /* get number of PEs to make active 'new_npe', reduce, can be any integer 1-P */ 163 { 164 PetscInt ncrs_eq_glob; 165 ierr = MatGetSize(Cmat, &ncrs_eq_glob, PETSC_NULL);CHKERRQ(ierr); 166 new_npe = (PetscMPIInt)((float)ncrs_eq_glob/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ 167 if (new_npe == 0 || ncrs_eq_glob < coarse_max) new_npe = 1; 168 else if (new_npe >= nactive) new_npe = nactive; /* no change, rare */ 169 if (isLast) new_npe = 1; 170 } 171 172 if (!repart && new_npe==nactive) { 173 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction - could bail here */ 174 } else { 175 const PetscInt *idx,ndata_rows=pc_gamg->data_cell_rows,ndata_cols=pc_gamg->data_cell_cols,node_data_sz=ndata_rows*ndata_cols; 176 PetscInt *counts,*newproc_idx,ii,jj,kk,strideNew,*tidx,ncrs_prim_new,ncrs_eq_new,nloc_old; 177 IS is_eq_newproc,is_eq_newproc_prim,is_eq_num,is_eq_num_prim,isscat,new_eq_indices; 178 VecScatter vecscat; 179 PetscScalar *array; 180 Vec src_crd, dest_crd; 181 182 nloc_old = ncrs_eq/cr_bs; assert(ncrs_eq%cr_bs==0); 183 #if defined PETSC_GAMG_USE_LOG 184 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 185 #endif 186 /* make 'is_eq_newproc' */ 187 ierr = PetscMalloc(npe*sizeof(PetscInt), &counts);CHKERRQ(ierr); 188 if (repart && !stokes) { 189 /* Repartition Cmat_{k} and move colums of P^{k}_{k-1} and coordinates of primal part accordingly */ 190 Mat adj; 191 192 if (pc_gamg->verbose>0) { 193 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); 194 else { 195 PetscInt n; 196 ierr = MPI_Allreduce(&ncrs_eq, &n, 1, MPIU_INT, MPI_SUM, wcomm);CHKERRQ(ierr); 197 PetscPrintf(wcomm,"\t[%d]%s repartition: npe (active): %d --> %d, neq = %d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,n); 198 } 199 } 200 201 /* get 'adj' */ 202 if (cr_bs == 1) { 203 ierr = MatConvert(Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 204 } else { 205 /* make a scalar matrix to partition (no Stokes here) */ 206 Mat tMat; 207 PetscInt Istart_crs,Iend_crs,ncols,jj,Ii; 208 const PetscScalar *vals; 209 const PetscInt *idx; 210 PetscInt *d_nnz, *o_nnz, M, N; 211 static PetscInt llev = 0; 212 213 ierr = PetscMalloc(ncrs_prim*sizeof(PetscInt), &d_nnz);CHKERRQ(ierr); 214 ierr = PetscMalloc(ncrs_prim*sizeof(PetscInt), &o_nnz);CHKERRQ(ierr); 215 ierr = MatGetOwnershipRange(Cmat, &Istart_crs, &Iend_crs);CHKERRQ(ierr); 216 ierr = MatGetSize(Cmat, &M, &N);CHKERRQ(ierr); 217 for (Ii = Istart_crs, jj = 0 ; Ii < Iend_crs ; Ii += cr_bs, jj++) { 218 ierr = MatGetRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 219 d_nnz[jj] = ncols/cr_bs; 220 o_nnz[jj] = ncols/cr_bs; 221 ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 222 if (d_nnz[jj] > ncrs_prim) d_nnz[jj] = ncrs_prim; 223 if (o_nnz[jj] > (M/cr_bs-ncrs_prim)) o_nnz[jj] = M/cr_bs-ncrs_prim; 224 } 225 226 ierr = MatCreate(wcomm, &tMat);CHKERRQ(ierr); 227 ierr = MatSetSizes(tMat, ncrs_prim, ncrs_prim,PETSC_DETERMINE, PETSC_DETERMINE);CHKERRQ(ierr); 228 ierr = MatSetType(tMat,MATAIJ);CHKERRQ(ierr); 229 ierr = MatSeqAIJSetPreallocation(tMat,0,d_nnz);CHKERRQ(ierr); 230 ierr = MatMPIAIJSetPreallocation(tMat,0,d_nnz,0,o_nnz);CHKERRQ(ierr); 231 ierr = PetscFree(d_nnz);CHKERRQ(ierr); 232 ierr = PetscFree(o_nnz);CHKERRQ(ierr); 233 234 for (ii = Istart_crs; ii < Iend_crs; ii++) { 235 PetscInt dest_row = ii/cr_bs; 236 ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 237 for (jj = 0 ; jj < ncols ; jj++) { 238 PetscInt dest_col = idx[jj]/cr_bs; 239 PetscScalar v = 1.0; 240 ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES);CHKERRQ(ierr); 241 } 242 ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 243 } 244 ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 245 ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 246 247 if (llev++ == -1) { 248 PetscViewer viewer; char fname[32]; 249 ierr = PetscSNPrintf(fname,sizeof(fname),"part_mat_%D.mat",llev);CHKERRQ(ierr); 250 PetscViewerBinaryOpen(wcomm,fname,FILE_MODE_WRITE,&viewer); 251 ierr = MatView(tMat, viewer);CHKERRQ(ierr); 252 ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); 253 } 254 255 ierr = MatConvert(tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 256 257 ierr = MatDestroy(&tMat);CHKERRQ(ierr); 258 } /* create 'adj' */ 259 260 { /* partition: get newproc_idx */ 261 char prefix[256]; 262 const char *pcpre; 263 const PetscInt *is_idx; 264 MatPartitioning mpart; 265 IS proc_is; 266 PetscInt targetPE; 267 268 ierr = MatPartitioningCreate(wcomm, &mpart);CHKERRQ(ierr); 269 ierr = MatPartitioningSetAdjacency(mpart, adj);CHKERRQ(ierr); 270 ierr = PCGetOptionsPrefix(pc, &pcpre);CHKERRQ(ierr); 271 ierr = PetscSNPrintf(prefix,sizeof(prefix),"%spc_gamg_",pcpre?pcpre:"");CHKERRQ(ierr); 272 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 273 ierr = MatPartitioningSetFromOptions(mpart);CHKERRQ(ierr); 274 ierr = MatPartitioningSetNParts(mpart, new_npe);CHKERRQ(ierr); 275 ierr = MatPartitioningApply(mpart, &proc_is);CHKERRQ(ierr); 276 ierr = MatPartitioningDestroy(&mpart);CHKERRQ(ierr); 277 278 /* collect IS info */ 279 ierr = PetscMalloc(ncrs_eq*sizeof(PetscInt), &newproc_idx);CHKERRQ(ierr); 280 ierr = ISGetIndices(proc_is, &is_idx);CHKERRQ(ierr); 281 targetPE = 1; /* bring to "front" of machine */ 282 /*targetPE = npe/new_npe;*/ /* spread partitioning across machine */ 283 for (kk = jj = 0 ; kk < nloc_old ; kk++) { 284 for (ii = 0 ; ii < cr_bs ; ii++, jj++) { 285 newproc_idx[jj] = is_idx[kk] * targetPE; /* distribution */ 286 } 287 } 288 ierr = ISRestoreIndices(proc_is, &is_idx);CHKERRQ(ierr); 289 ierr = ISDestroy(&proc_is);CHKERRQ(ierr); 290 } 291 ierr = MatDestroy(&adj);CHKERRQ(ierr); 292 293 ierr = ISCreateGeneral(wcomm, ncrs_eq, newproc_idx, PETSC_COPY_VALUES, &is_eq_newproc);CHKERRQ(ierr); 294 if (newproc_idx != 0) { 295 ierr = PetscFree(newproc_idx);CHKERRQ(ierr); 296 } 297 } else { /* simple aggreagtion of parts -- 'is_eq_newproc' */ 298 299 PetscInt rfactor,targetPE; 300 /* find factor */ 301 if (new_npe == 1) rfactor = npe; /* easy */ 302 else { 303 PetscReal best_fact = 0.; 304 jj = -1; 305 for (kk = 1 ; kk <= npe ; kk++) { 306 if (npe%kk==0) { /* a candidate */ 307 PetscReal nactpe = (PetscReal)npe/(PetscReal)kk, fact = nactpe/(PetscReal)new_npe; 308 if (fact > 1.0) fact = 1./fact; /* keep fact < 1 */ 309 if (fact > best_fact) { 310 best_fact = fact; jj = kk; 311 } 312 } 313 } 314 if (jj != -1) rfactor = jj; 315 else rfactor = 1; /* does this happen .. a prime */ 316 } 317 new_npe = npe/rfactor; 318 319 if (new_npe==nactive) { 320 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction, bail out because nested here */ 321 ierr = PetscFree(counts);CHKERRQ(ierr); 322 if (pc_gamg->verbose>0) { 323 PetscPrintf(wcomm,"\t[%d]%s aggregate processors noop: new_npe=%d, neq(loc)=%d\n",mype,__FUNCT__,new_npe,ncrs_eq); 324 } 325 PetscFunctionReturn(0); 326 } 327 328 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s number of equations (loc) %d with simple aggregation\n",mype,__FUNCT__,ncrs_eq); 329 targetPE = mype/rfactor; 330 ierr = ISCreateStride(wcomm, ncrs_eq, targetPE, 0, &is_eq_newproc);CHKERRQ(ierr); 331 332 if (stokes) { 333 ierr = ISCreateStride(wcomm, ncrs_prim*cr_bs, targetPE, 0, &is_eq_newproc_prim);CHKERRQ(ierr); 334 } 335 } /* end simple 'is_eq_newproc' */ 336 337 /* 338 Create an index set from the is_eq_newproc index set to indicate the mapping TO 339 */ 340 ierr = ISPartitioningToNumbering(is_eq_newproc, &is_eq_num);CHKERRQ(ierr); 341 if (stokes) { 342 ierr = ISPartitioningToNumbering(is_eq_newproc_prim, &is_eq_num_prim);CHKERRQ(ierr); 343 } else is_eq_num_prim = is_eq_num; 344 /* 345 Determine how many equations/vertices are assigned to each processor 346 */ 347 ierr = ISPartitioningCount(is_eq_newproc, npe, counts);CHKERRQ(ierr); 348 ncrs_eq_new = counts[mype]; 349 ierr = ISDestroy(&is_eq_newproc);CHKERRQ(ierr); 350 if (stokes) { 351 ierr = ISPartitioningCount(is_eq_newproc_prim, npe, counts);CHKERRQ(ierr); 352 ierr = ISDestroy(&is_eq_newproc_prim);CHKERRQ(ierr); 353 ncrs_prim_new = counts[mype]/cr_bs; /* nodes */ 354 } else ncrs_prim_new = ncrs_eq_new/cr_bs; /* eqs */ 355 356 ierr = PetscFree(counts);CHKERRQ(ierr); 357 #if defined PETSC_GAMG_USE_LOG 358 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 359 #endif 360 361 /* move data (for primal equations only) */ 362 /* Create a vector to contain the newly ordered element information */ 363 ierr = VecCreate(wcomm, &dest_crd);CHKERRQ(ierr); 364 ierr = VecSetSizes(dest_crd, node_data_sz*ncrs_prim_new, PETSC_DECIDE);CHKERRQ(ierr); 365 ierr = VecSetFromOptions(dest_crd);CHKERRQ(ierr); /* this is needed! */ 366 /* 367 There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having 368 a block size of ...). Note, ISs are expanded into equation space by 'cr_bs'. 369 */ 370 ierr = PetscMalloc((ncrs_prim*node_data_sz)*sizeof(PetscInt), &tidx);CHKERRQ(ierr); 371 ierr = ISGetIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 372 for (ii=0,jj=0; ii<ncrs_prim ; ii++) { 373 PetscInt id = idx[ii*cr_bs]/cr_bs; /* get node back */ 374 for (kk=0; kk<node_data_sz ; kk++, jj++) tidx[jj] = id*node_data_sz + kk; 375 } 376 ierr = ISRestoreIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 377 ierr = ISCreateGeneral(wcomm, node_data_sz*ncrs_prim, tidx, PETSC_COPY_VALUES, &isscat);CHKERRQ(ierr); 378 ierr = PetscFree(tidx);CHKERRQ(ierr); 379 /* 380 Create a vector to contain the original vertex information for each element 381 */ 382 ierr = VecCreateSeq(PETSC_COMM_SELF, node_data_sz*ncrs_prim, &src_crd);CHKERRQ(ierr); 383 for (jj=0; jj<ndata_cols ; jj++) { 384 const PetscInt stride0=ncrs_prim*pc_gamg->data_cell_rows; 385 for (ii=0 ; ii<ncrs_prim ; ii++) { 386 for (kk=0; kk<ndata_rows ; kk++) { 387 PetscInt ix = ii*ndata_rows + kk + jj*stride0, jx = ii*node_data_sz + kk*ndata_cols + jj; 388 PetscScalar tt = (PetscScalar)pc_gamg->data[ix]; 389 ierr = VecSetValues(src_crd, 1, &jx, &tt, INSERT_VALUES);CHKERRQ(ierr); 390 } 391 } 392 } 393 ierr = VecAssemblyBegin(src_crd);CHKERRQ(ierr); 394 ierr = VecAssemblyEnd(src_crd);CHKERRQ(ierr); 395 /* 396 Scatter the element vertex information (still in the original vertex ordering) 397 to the correct processor 398 */ 399 ierr = VecScatterCreate(src_crd, PETSC_NULL, dest_crd, isscat, &vecscat);CHKERRQ(ierr); 400 ierr = ISDestroy(&isscat);CHKERRQ(ierr); 401 ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 402 ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 403 ierr = VecScatterDestroy(&vecscat);CHKERRQ(ierr); 404 ierr = VecDestroy(&src_crd);CHKERRQ(ierr); 405 /* 406 Put the element vertex data into a new allocation of the gdata->ele 407 */ 408 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 409 ierr = PetscMalloc(node_data_sz*ncrs_prim_new*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 410 pc_gamg->data_sz = node_data_sz*ncrs_prim_new; 411 strideNew = ncrs_prim_new*ndata_rows; 412 ierr = VecGetArray(dest_crd, &array);CHKERRQ(ierr); 413 for (jj=0; jj<ndata_cols ; jj++) { 414 for (ii=0 ; ii<ncrs_prim_new ; ii++) { 415 for (kk=0; kk<ndata_rows ; kk++) { 416 PetscInt ix = ii*ndata_rows + kk + jj*strideNew, jx = ii*node_data_sz + kk*ndata_cols + jj; 417 pc_gamg->data[ix] = PetscRealPart(array[jx]); 418 } 419 } 420 } 421 ierr = VecRestoreArray(dest_crd, &array);CHKERRQ(ierr); 422 ierr = VecDestroy(&dest_crd);CHKERRQ(ierr); 423 424 /* move A and P (columns) with new layout */ 425 #if defined PETSC_GAMG_USE_LOG 426 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 427 #endif 428 429 /* 430 Invert for MatGetSubMatrix 431 */ 432 ierr = ISInvertPermutation(is_eq_num, ncrs_eq_new, &new_eq_indices);CHKERRQ(ierr); 433 ierr = ISSort(new_eq_indices);CHKERRQ(ierr); /* is this needed? */ 434 ierr = ISSetBlockSize(new_eq_indices, cr_bs);CHKERRQ(ierr); 435 if (is_eq_num != is_eq_num_prim) { 436 ierr = ISDestroy(&is_eq_num_prim);CHKERRQ(ierr); /* could be same as 'is_eq_num' */ 437 } 438 ierr = ISDestroy(&is_eq_num);CHKERRQ(ierr); 439 #if defined PETSC_GAMG_USE_LOG 440 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 441 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 442 #endif 443 /* 'a_Amat_crs' output */ 444 { 445 Mat mat; 446 ierr = MatGetSubMatrix(Cmat, new_eq_indices, new_eq_indices, MAT_INITIAL_MATRIX, &mat);CHKERRQ(ierr); 447 *a_Amat_crs = mat; 448 449 if (!PETSC_TRUE) { 450 PetscInt cbs, rbs; 451 ierr = MatGetBlockSizes(Cmat, &rbs, &cbs);CHKERRQ(ierr); 452 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Old Mat rbs=%d cbs=%d\n",mype,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 453 ierr = MatGetBlockSizes(mat, &rbs, &cbs);CHKERRQ(ierr); 454 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s New Mat rbs=%d cbs=%d cr_bs=%d\n",mype,__FUNCT__,rbs,cbs,cr_bs);CHKERRQ(ierr); 455 } 456 } 457 ierr = MatDestroy(&Cmat);CHKERRQ(ierr); 458 459 #if defined PETSC_GAMG_USE_LOG 460 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 461 #endif 462 /* prolongator */ 463 { 464 IS findices; 465 PetscInt Istart,Iend; 466 Mat Pnew; 467 ierr = MatGetOwnershipRange(Pold, &Istart, &Iend);CHKERRQ(ierr); 468 #if defined PETSC_GAMG_USE_LOG 469 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 470 #endif 471 ierr = ISCreateStride(wcomm,Iend-Istart,Istart,1,&findices);CHKERRQ(ierr); 472 ierr = ISSetBlockSize(findices,f_bs);CHKERRQ(ierr); 473 ierr = MatGetSubMatrix(Pold, findices, new_eq_indices, MAT_INITIAL_MATRIX, &Pnew);CHKERRQ(ierr); 474 ierr = ISDestroy(&findices);CHKERRQ(ierr); 475 476 if (!PETSC_TRUE) { 477 PetscInt cbs, rbs; 478 ierr = MatGetBlockSizes(Pold, &rbs, &cbs);CHKERRQ(ierr); 479 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pold rbs=%d cbs=%d\n",mype,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 480 ierr = MatGetBlockSizes(Pnew, &rbs, &cbs);CHKERRQ(ierr); 481 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pnew rbs=%d cbs=%d\n",mype,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 482 } 483 #if defined PETSC_GAMG_USE_LOG 484 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 485 #endif 486 ierr = MatDestroy(a_P_inout);CHKERRQ(ierr); 487 488 /* output - repartitioned */ 489 *a_P_inout = Pnew; 490 } 491 ierr = ISDestroy(&new_eq_indices);CHKERRQ(ierr); 492 493 *a_nactive_proc = new_npe; /* output */ 494 } 495 496 /* outout matrix data */ 497 if (!PETSC_TRUE) { 498 PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; 499 if (llev==0) { 500 sprintf(fname,"Cmat_%d.m",llev++); 501 PetscViewerASCIIOpen(wcomm,fname,&viewer); 502 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 503 ierr = MatView(Amat_fine, viewer);CHKERRQ(ierr); 504 ierr = PetscViewerDestroy(&viewer); 505 } 506 sprintf(fname,"Cmat_%d.m",llev++); 507 PetscViewerASCIIOpen(wcomm,fname,&viewer); 508 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 509 ierr = MatView(Cmat, viewer);CHKERRQ(ierr); 510 ierr = PetscViewerDestroy(&viewer); 511 } 512 513 PetscFunctionReturn(0); 514 } 515 516 /* -------------------------------------------------------------------------- */ 517 /* 518 PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner 519 by setting data structures and options. 520 521 Input Parameter: 522 . pc - the preconditioner context 523 524 Application Interface Routine: PCSetUp() 525 526 Notes: 527 The interface routine PCSetUp() is not usually called directly by 528 the user, but instead is called by PCApply() if necessary. 529 */ 530 #undef __FUNCT__ 531 #define __FUNCT__ "PCSetUp_GAMG" 532 PetscErrorCode PCSetUp_GAMG(PC pc) 533 { 534 PetscErrorCode ierr; 535 PC_MG *mg = (PC_MG*)pc->data; 536 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 537 Mat Pmat = pc->pmat; 538 PetscInt fine_level,level,level1,bs,M,qq,lidx,nASMBlocksArr[GAMG_MAXLEVELS]; 539 MPI_Comm wcomm = ((PetscObject)pc)->comm; 540 PetscMPIInt mype,npe,nactivepe; 541 Mat Aarr[GAMG_MAXLEVELS],Parr[GAMG_MAXLEVELS]; 542 PetscReal emaxs[GAMG_MAXLEVELS]; 543 IS *ASMLocalIDsArr[GAMG_MAXLEVELS]; 544 GAMGKKTMat kktMatsArr[GAMG_MAXLEVELS]; 545 PetscLogDouble nnz0=0.,nnztot=0.; 546 MatInfo info; 547 PetscBool stokes = PETSC_FALSE, redo_mesh_setup = (PetscBool)(!pc_gamg->reuse_prol); 548 549 PetscFunctionBegin; 550 ierr = MPI_Comm_rank(wcomm,&mype);CHKERRQ(ierr); 551 ierr = MPI_Comm_size(wcomm,&npe);CHKERRQ(ierr); 552 553 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); 554 555 if (pc_gamg->setup_count++ > 0) { 556 if (redo_mesh_setup) { 557 /* reset everything */ 558 ierr = PCReset_MG(pc);CHKERRQ(ierr); 559 pc->setupcalled = 0; 560 } else { 561 PC_MG_Levels **mglevels = mg->levels; 562 /* just do Galerkin grids */ 563 Mat B,dA,dB; 564 assert(pc->setupcalled); 565 566 if (pc_gamg->Nlevels > 1) { 567 /* currently only handle case where mat and pmat are the same on coarser levels */ 568 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); 569 /* (re)set to get dirty flag */ 570 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 571 572 for (level=pc_gamg->Nlevels-2; level>-1; level--) { 573 /* the first time through the matrix structure has changed from repartitioning */ 574 if (pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { 575 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 576 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 577 mglevels[level]->A = B; 578 } else { 579 ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); 580 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 581 } 582 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 583 dB = B; 584 } 585 } 586 587 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 588 589 /* PCSetUp_MG seems to insists on setting this to GMRES */ 590 ierr = KSPSetType(mglevels[0]->smoothd, KSPPREONLY);CHKERRQ(ierr); 591 592 PetscFunctionReturn(0); 593 } 594 } 595 596 ierr = PetscOptionsGetBool(((PetscObject)pc)->prefix,"-pc_fieldsplit_detect_saddle_point",&stokes,PETSC_NULL);CHKERRQ(ierr); 597 598 ierr = GAMGKKTMatCreate(Pmat, stokes, &kktMatsArr[0]);CHKERRQ(ierr); 599 600 if (!pc_gamg->data) { 601 if (pc_gamg->orig_data) { 602 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 603 ierr = MatGetLocalSize(Pmat, &qq, PETSC_NULL);CHKERRQ(ierr); 604 pc_gamg->data_sz = (qq/bs)*pc_gamg->orig_data_cell_rows*pc_gamg->orig_data_cell_cols; 605 pc_gamg->data_cell_rows = pc_gamg->orig_data_cell_rows; 606 pc_gamg->data_cell_cols = pc_gamg->orig_data_cell_cols; 607 ierr = PetscMalloc(pc_gamg->data_sz*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 608 for (qq=0;qq<pc_gamg->data_sz;qq++) pc_gamg->data[qq] = pc_gamg->orig_data[qq]; 609 } else { 610 if (!pc_gamg->createdefaultdata) { 611 SETERRQ(wcomm,PETSC_ERR_PLIB,"'createdefaultdata' not set(?) need to support NULL data"); 612 } 613 if (stokes) { 614 SETERRQ(wcomm,PETSC_ERR_PLIB,"Need data (eg, PCSetCoordinates) for Stokes problems"); 615 } 616 ierr = pc_gamg->createdefaultdata(pc, kktMatsArr[0].A11);CHKERRQ(ierr); 617 } 618 } 619 620 /* cache original data for reuse */ 621 if (!pc_gamg->orig_data && redo_mesh_setup) { 622 ierr = PetscMalloc(pc_gamg->data_sz*sizeof(PetscReal), &pc_gamg->orig_data);CHKERRQ(ierr); 623 for (qq=0;qq<pc_gamg->data_sz;qq++) pc_gamg->orig_data[qq] = pc_gamg->data[qq]; 624 pc_gamg->orig_data_cell_rows = pc_gamg->data_cell_rows; 625 pc_gamg->orig_data_cell_cols = pc_gamg->data_cell_cols; 626 } 627 628 /* get basic dims */ 629 if (stokes) { 630 bs = pc_gamg->data_cell_rows; /* this is agg-mg specific */ 631 } else { 632 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 633 } 634 635 ierr = MatGetSize(Pmat, &M, &qq);CHKERRQ(ierr); 636 if (pc_gamg->verbose) { 637 PetscInt NN = M; 638 if (pc_gamg->verbose==1) { 639 ierr = MatGetInfo(Pmat,MAT_LOCAL,&info);CHKERRQ(ierr); 640 ierr = MatGetLocalSize(Pmat, &NN, &qq);CHKERRQ(ierr); 641 } else { 642 ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info);CHKERRQ(ierr); 643 } 644 nnz0 = info.nz_used; 645 nnztot = info.nz_used; 646 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", 647 mype,__FUNCT__,0,M,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 648 (int)(nnz0/(PetscReal)NN),npe);CHKERRQ(ierr); 649 } 650 651 /* Get A_i and R_i */ 652 for (level=0, Aarr[0]=Pmat, nactivepe = npe; /* hard wired stopping logic */ 653 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (npe==1 || nactivepe>1); */ 654 level++) { 655 level1 = level + 1; 656 #if defined PETSC_GAMG_USE_LOG 657 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 658 #if (defined GAMG_STAGES) 659 ierr = PetscLogStagePush(gamg_stages[level]);CHKERRQ(ierr); 660 #endif 661 #endif 662 /* deal with Stokes, get sub matrices */ 663 if (level > 0) { 664 ierr = GAMGKKTMatCreate(Aarr[level], stokes, &kktMatsArr[level]);CHKERRQ(ierr); 665 } 666 { /* construct prolongator */ 667 Mat Gmat; 668 PetscCoarsenData *agg_lists; 669 Mat Prol11,Prol22; 670 671 ierr = pc_gamg->graph(pc,kktMatsArr[level].A11, &Gmat);CHKERRQ(ierr); 672 ierr = pc_gamg->coarsen(pc, &Gmat, &agg_lists);CHKERRQ(ierr); 673 ierr = pc_gamg->prolongator(pc, kktMatsArr[level].A11, Gmat, agg_lists, &Prol11);CHKERRQ(ierr); 674 675 /* could have failed to create new level */ 676 if (Prol11) { 677 /* get new block size of coarse matrices */ 678 ierr = MatGetBlockSizes(Prol11, PETSC_NULL, &bs);CHKERRQ(ierr); 679 680 if (stokes) { 681 if (!pc_gamg->formkktprol) SETERRQ(wcomm,PETSC_ERR_USER,"Stokes not supportd by AMG method."); 682 /* R A12 == (T = A21 P)'; G = T' T; coarsen G; form plain agg with G */ 683 ierr = pc_gamg->formkktprol(pc, Prol11, kktMatsArr[level].A21, &Prol22);CHKERRQ(ierr); 684 } 685 686 if (pc_gamg->optprol) { 687 /* smooth */ 688 ierr = pc_gamg->optprol(pc, kktMatsArr[level].A11, &Prol11);CHKERRQ(ierr); 689 } 690 691 if (stokes) { 692 IS is_row[2] = {kktMatsArr[level].prim_is,kktMatsArr[level].constr_is}; 693 Mat a[4] = {Prol11, PETSC_NULL, PETSC_NULL, Prol22 }; 694 ierr = MatCreateNest(wcomm,2,is_row, 2, is_row, a, &Parr[level1]);CHKERRQ(ierr); 695 } else { 696 Parr[level1] = Prol11; 697 } 698 } else Parr[level1] = PETSC_NULL; 699 700 if (pc_gamg->use_aggs_in_gasm) { 701 ierr = PetscCDGetASMBlocks(agg_lists, bs, &nASMBlocksArr[level], &ASMLocalIDsArr[level]);CHKERRQ(ierr); 702 } 703 704 ierr = MatDestroy(&Gmat);CHKERRQ(ierr); 705 ierr = PetscCDDestroy(agg_lists);CHKERRQ(ierr); 706 } /* construct prolongator scope */ 707 #if defined PETSC_GAMG_USE_LOG 708 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 709 #endif 710 /* cache eigen estimate */ 711 if (pc_gamg->emax_id != -1) { 712 PetscBool flag; 713 ierr = PetscObjectComposedDataGetReal((PetscObject)kktMatsArr[level].A11, pc_gamg->emax_id, emaxs[level], flag);CHKERRQ(ierr); 714 if (!flag) emaxs[level] = -1.; 715 } else emaxs[level] = -1.; 716 if (level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 717 if (!Parr[level1]) { 718 if (pc_gamg->verbose) { 719 ierr = PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",mype,__FUNCT__,level);CHKERRQ(ierr); 720 } 721 break; 722 } 723 #if defined PETSC_GAMG_USE_LOG 724 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 725 #endif 726 727 ierr = createLevel(pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), 728 stokes, &Parr[level1], &Aarr[level1], &nactivepe);CHKERRQ(ierr); 729 730 #if defined PETSC_GAMG_USE_LOG 731 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 732 #endif 733 ierr = MatGetSize(Aarr[level1], &M, &qq);CHKERRQ(ierr); 734 735 if (pc_gamg->verbose > 0) { 736 PetscInt NN = M; 737 if (pc_gamg->verbose==1) { 738 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info);CHKERRQ(ierr); 739 ierr = MatGetLocalSize(Aarr[level1], &NN, &qq);CHKERRQ(ierr); 740 } else { 741 ierr = MatGetInfo(Aarr[level1], MAT_GLOBAL_SUM, &info);CHKERRQ(ierr); 742 } 743 744 nnztot += info.nz_used; 745 ierr = PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 746 mype,__FUNCT__,(int)level1,M,pc_gamg->data_cell_cols, 747 (int)(info.nz_used/(PetscReal)NN), nactivepe);CHKERRQ(ierr); 748 } 749 750 /* stop if one node -- could pull back for singular problems */ 751 if (M/pc_gamg->data_cell_cols < 2) { 752 level++; 753 break; 754 } 755 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 756 ierr = PetscLogStagePop();CHKERRQ(ierr); 757 #endif 758 } /* levels */ 759 760 if (pc_gamg->data) { 761 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 762 pc_gamg->data = PETSC_NULL; 763 } 764 765 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 766 pc_gamg->Nlevels = level + 1; 767 fine_level = level; 768 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 769 770 /* simple setup */ 771 if (!PETSC_TRUE) { 772 PC_MG_Levels **mglevels = mg->levels; 773 for (lidx=0,level=pc_gamg->Nlevels-1; 774 lidx<fine_level; 775 lidx++, level--) { 776 ierr = PCMGSetInterpolation(pc, lidx+1, Parr[level]);CHKERRQ(ierr); 777 ierr = KSPSetOperators(mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 778 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 779 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 780 } 781 ierr = KSPSetOperators(mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 782 783 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 784 } else if (pc_gamg->Nlevels > 1) { /* don't setup MG if one level */ 785 /* set default smoothers & set operators */ 786 for (lidx = 1, level = pc_gamg->Nlevels-2; 787 lidx <= fine_level; 788 lidx++, level--) { 789 KSP smoother; 790 PC subpc; 791 792 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 793 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 794 795 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 796 /* set ops */ 797 ierr = KSPSetOperators(smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 798 ierr = PCMGSetInterpolation(pc, lidx, Parr[level+1]);CHKERRQ(ierr); 799 800 /* create field split PC, get subsmoother */ 801 if (stokes) { 802 KSP *ksps; 803 PetscInt nn; 804 ierr = PCFieldSplitSetIS(subpc,"0",kktMatsArr[level].prim_is);CHKERRQ(ierr); 805 ierr = PCFieldSplitSetIS(subpc,"1",kktMatsArr[level].constr_is);CHKERRQ(ierr); 806 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 807 smoother = ksps[0]; 808 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 809 ierr = PetscFree(ksps);CHKERRQ(ierr); 810 } 811 ierr = GAMGKKTMatDestroy(&kktMatsArr[level]);CHKERRQ(ierr); 812 813 /* set defaults */ 814 ierr = KSPSetType(smoother, KSPCHEBYSHEV);CHKERRQ(ierr); 815 816 /* override defaults and command line args (!) */ 817 if (pc_gamg->use_aggs_in_gasm) { 818 PetscInt sz; 819 IS *is; 820 821 sz = nASMBlocksArr[level]; 822 is = ASMLocalIDsArr[level]; 823 ierr = PCSetType(subpc, PCGASM);CHKERRQ(ierr); 824 if (sz==0) { 825 IS is; 826 PetscInt my0,kk; 827 ierr = MatGetOwnershipRange(Aarr[level], &my0, &kk);CHKERRQ(ierr); 828 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is);CHKERRQ(ierr); 829 ierr = PCGASMSetSubdomains(subpc, 1, &is, PETSC_NULL);CHKERRQ(ierr); 830 ierr = ISDestroy(&is);CHKERRQ(ierr); 831 } else { 832 PetscInt kk; 833 ierr = PCGASMSetSubdomains(subpc, sz, is, PETSC_NULL);CHKERRQ(ierr); 834 for (kk=0;kk<sz;kk++) { 835 ierr = ISDestroy(&is[kk]);CHKERRQ(ierr); 836 } 837 ierr = PetscFree(is);CHKERRQ(ierr); 838 } 839 ierr = PCGASMSetOverlap(subpc, 0);CHKERRQ(ierr); 840 841 ASMLocalIDsArr[level] = PETSC_NULL; 842 nASMBlocksArr[level] = 0; 843 ierr = PCGASMSetType(subpc, PC_GASM_BASIC);CHKERRQ(ierr); 844 } else { 845 ierr = PCSetType(subpc, PCJACOBI);CHKERRQ(ierr); 846 } 847 } 848 { 849 /* coarse grid */ 850 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 851 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 852 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 853 ierr = KSPSetOperators(smoother, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 854 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 855 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 856 ierr = PCSetType(subpc, PCBJACOBI);CHKERRQ(ierr); 857 ierr = PCSetUp(subpc);CHKERRQ(ierr); 858 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); 859 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 860 ierr = PCSetType(pc2, PCLU);CHKERRQ(ierr); 861 ierr = PCFactorSetShiftType(pc2,MAT_SHIFT_INBLOCKS);CHKERRQ(ierr); 862 } 863 864 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 865 ierr = PetscObjectOptionsBegin((PetscObject)pc);CHKERRQ(ierr); 866 ierr = PCSetFromOptions_MG(pc);CHKERRQ(ierr); 867 ierr = PetscOptionsEnd();CHKERRQ(ierr); 868 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 869 870 /* create cheby smoothers */ 871 for (lidx = 1, level = pc_gamg->Nlevels-2; 872 lidx <= fine_level; 873 lidx++, level--) { 874 KSP smoother; 875 PetscBool flag; 876 PC subpc; 877 878 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 879 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 880 881 /* create field split PC, get subsmoother */ 882 if (stokes) { 883 KSP *ksps; 884 PetscInt nn; 885 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 886 smoother = ksps[0]; 887 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 888 ierr = PetscFree(ksps);CHKERRQ(ierr); 889 } 890 891 /* do my own cheby */ 892 ierr = PetscObjectTypeCompare((PetscObject)smoother, KSPCHEBYSHEV, &flag);CHKERRQ(ierr); 893 if (flag) { 894 PetscReal emax, emin; 895 ierr = PetscObjectTypeCompare((PetscObject)subpc, PCJACOBI, &flag);CHKERRQ(ierr); 896 if (flag && emaxs[level] > 0.0) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 897 else { /* eigen estimate 'emax' */ 898 KSP eksp; 899 Mat Lmat = Aarr[level]; 900 Vec bb, xx; 901 902 ierr = MatGetVecs(Lmat, &bb, 0);CHKERRQ(ierr); 903 ierr = MatGetVecs(Lmat, &xx, 0);CHKERRQ(ierr); 904 { 905 PetscRandom rctx; 906 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 907 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 908 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 909 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 910 } 911 912 /* zeroing out BC rows -- needed for crazy matrices */ 913 { 914 PetscInt Istart,Iend,ncols,jj,Ii; 915 PetscScalar zero = 0.0; 916 ierr = MatGetOwnershipRange(Lmat, &Istart, &Iend);CHKERRQ(ierr); 917 for (Ii = Istart, jj = 0 ; Ii < Iend ; Ii++, jj++) { 918 ierr = MatGetRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 919 if (ncols <= 1) { 920 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 921 } 922 ierr = MatRestoreRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 923 } 924 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 925 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 926 } 927 928 ierr = KSPCreate(wcomm, &eksp);CHKERRQ(ierr); 929 ierr = KSPSetTolerances(eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10);CHKERRQ(ierr); 930 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 931 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 932 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 933 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 934 935 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 936 ierr = KSPSetOperators(eksp, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 937 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 938 939 /* set PC type to be same as smoother */ 940 ierr = KSPSetPC(eksp, subpc);CHKERRQ(ierr); 941 942 /* solve - keep stuff out of logging */ 943 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 944 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 945 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 946 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 947 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 948 949 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 950 951 ierr = VecDestroy(&xx);CHKERRQ(ierr); 952 ierr = VecDestroy(&bb);CHKERRQ(ierr); 953 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 954 955 if (pc_gamg->verbose > 0) { 956 PetscInt N1, tt; 957 ierr = MatGetSize(Aarr[level], &N1, &tt);CHKERRQ(ierr); 958 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 959 } 960 } 961 { 962 PetscInt N1, N0; 963 ierr = MatGetSize(Aarr[level], &N1, PETSC_NULL);CHKERRQ(ierr); 964 ierr = MatGetSize(Aarr[level+1], &N0, PETSC_NULL);CHKERRQ(ierr); 965 /* heuristic - is this crap? */ 966 /* emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); */ 967 emin = emax * pc_gamg->eigtarget[0]; 968 emax *= pc_gamg->eigtarget[1]; 969 } 970 ierr = KSPChebyshevSetEigenvalues(smoother, emax, emin);CHKERRQ(ierr); 971 } /* setup checby flag */ 972 } /* non-coarse levels */ 973 974 /* clean up */ 975 for (level=1;level<pc_gamg->Nlevels;level++) { 976 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 977 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 978 } 979 980 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 981 982 if (PETSC_TRUE) { 983 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 984 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 985 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 986 } 987 } else { 988 KSP smoother; 989 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",mype,__FUNCT__); 990 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 991 ierr = KSPSetOperators(smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 992 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 993 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 994 } 995 996 PetscFunctionReturn(0); 997 } 998 999 /* ------------------------------------------------------------------------- */ 1000 /* 1001 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 1002 that was created with PCCreate_GAMG(). 1003 1004 Input Parameter: 1005 . pc - the preconditioner context 1006 1007 Application Interface Routine: PCDestroy() 1008 */ 1009 #undef __FUNCT__ 1010 #define __FUNCT__ "PCDestroy_GAMG" 1011 PetscErrorCode PCDestroy_GAMG(PC pc) 1012 { 1013 PetscErrorCode ierr; 1014 PC_MG *mg = (PC_MG*)pc->data; 1015 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 1016 1017 PetscFunctionBegin; 1018 ierr = PCReset_GAMG(pc);CHKERRQ(ierr); 1019 ierr = PetscFree(pc_gamg);CHKERRQ(ierr); 1020 ierr = PCDestroy_MG(pc);CHKERRQ(ierr); 1021 PetscFunctionReturn(0); 1022 } 1023 1024 1025 #undef __FUNCT__ 1026 #define __FUNCT__ "PCGAMGSetProcEqLim" 1027 /*@ 1028 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 1029 processor reduction. 1030 1031 Not Collective on PC 1032 1033 Input Parameters: 1034 . pc - the preconditioner context 1035 1036 1037 Options Database Key: 1038 . -pc_gamg_process_eq_limit 1039 1040 Level: intermediate 1041 1042 Concepts: Unstructured multrigrid preconditioner 1043 1044 .seealso: () 1045 @*/ 1046 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 1047 { 1048 PetscErrorCode ierr; 1049 1050 PetscFunctionBegin; 1051 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1052 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1053 PetscFunctionReturn(0); 1054 } 1055 1056 EXTERN_C_BEGIN 1057 #undef __FUNCT__ 1058 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 1059 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 1060 { 1061 PC_MG *mg = (PC_MG*)pc->data; 1062 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1063 1064 PetscFunctionBegin; 1065 if (n>0) pc_gamg->min_eq_proc = n; 1066 PetscFunctionReturn(0); 1067 } 1068 EXTERN_C_END 1069 1070 #undef __FUNCT__ 1071 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 1072 /*@ 1073 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 1074 1075 Collective on PC 1076 1077 Input Parameters: 1078 . pc - the preconditioner context 1079 1080 1081 Options Database Key: 1082 . -pc_gamg_coarse_eq_limit 1083 1084 Level: intermediate 1085 1086 Concepts: Unstructured multrigrid preconditioner 1087 1088 .seealso: () 1089 @*/ 1090 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 1091 { 1092 PetscErrorCode ierr; 1093 1094 PetscFunctionBegin; 1095 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1096 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1097 PetscFunctionReturn(0); 1098 } 1099 1100 EXTERN_C_BEGIN 1101 #undef __FUNCT__ 1102 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 1103 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 1104 { 1105 PC_MG *mg = (PC_MG*)pc->data; 1106 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1107 1108 PetscFunctionBegin; 1109 if (n>0) pc_gamg->coarse_eq_limit = n; 1110 PetscFunctionReturn(0); 1111 } 1112 EXTERN_C_END 1113 1114 #undef __FUNCT__ 1115 #define __FUNCT__ "PCGAMGSetRepartitioning" 1116 /*@ 1117 PCGAMGSetRepartitioning - Repartition the coarse grids 1118 1119 Collective on PC 1120 1121 Input Parameters: 1122 . pc - the preconditioner context 1123 1124 1125 Options Database Key: 1126 . -pc_gamg_repartition 1127 1128 Level: intermediate 1129 1130 Concepts: Unstructured multrigrid preconditioner 1131 1132 .seealso: () 1133 @*/ 1134 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 1135 { 1136 PetscErrorCode ierr; 1137 1138 PetscFunctionBegin; 1139 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1140 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1141 PetscFunctionReturn(0); 1142 } 1143 1144 EXTERN_C_BEGIN 1145 #undef __FUNCT__ 1146 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1147 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1148 { 1149 PC_MG *mg = (PC_MG*)pc->data; 1150 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1151 1152 PetscFunctionBegin; 1153 pc_gamg->repart = n; 1154 PetscFunctionReturn(0); 1155 } 1156 EXTERN_C_END 1157 1158 #undef __FUNCT__ 1159 #define __FUNCT__ "PCGAMGSetReuseProl" 1160 /*@ 1161 PCGAMGSetReuseProl - Reuse prlongation 1162 1163 Collective on PC 1164 1165 Input Parameters: 1166 . pc - the preconditioner context 1167 1168 1169 Options Database Key: 1170 . -pc_gamg_reuse_interpolation 1171 1172 Level: intermediate 1173 1174 Concepts: Unstructured multrigrid preconditioner 1175 1176 .seealso: () 1177 @*/ 1178 PetscErrorCode PCGAMGSetReuseProl(PC pc, PetscBool n) 1179 { 1180 PetscErrorCode ierr; 1181 1182 PetscFunctionBegin; 1183 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1184 ierr = PetscTryMethod(pc,"PCGAMGSetReuseProl_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1185 PetscFunctionReturn(0); 1186 } 1187 1188 EXTERN_C_BEGIN 1189 #undef __FUNCT__ 1190 #define __FUNCT__ "PCGAMGSetReuseProl_GAMG" 1191 PetscErrorCode PCGAMGSetReuseProl_GAMG(PC pc, PetscBool n) 1192 { 1193 PC_MG *mg = (PC_MG*)pc->data; 1194 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1195 1196 PetscFunctionBegin; 1197 pc_gamg->reuse_prol = n; 1198 PetscFunctionReturn(0); 1199 } 1200 EXTERN_C_END 1201 1202 #undef __FUNCT__ 1203 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1204 /*@ 1205 PCGAMGSetUseASMAggs - 1206 1207 Collective on PC 1208 1209 Input Parameters: 1210 . pc - the preconditioner context 1211 1212 1213 Options Database Key: 1214 . -pc_gamg_use_agg_gasm 1215 1216 Level: intermediate 1217 1218 Concepts: Unstructured multrigrid preconditioner 1219 1220 .seealso: () 1221 @*/ 1222 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1223 { 1224 PetscErrorCode ierr; 1225 1226 PetscFunctionBegin; 1227 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1228 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1229 PetscFunctionReturn(0); 1230 } 1231 1232 EXTERN_C_BEGIN 1233 #undef __FUNCT__ 1234 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1235 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1236 { 1237 PC_MG *mg = (PC_MG*)pc->data; 1238 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1239 1240 PetscFunctionBegin; 1241 pc_gamg->use_aggs_in_gasm = n; 1242 PetscFunctionReturn(0); 1243 } 1244 EXTERN_C_END 1245 1246 #undef __FUNCT__ 1247 #define __FUNCT__ "PCGAMGSetNlevels" 1248 /*@ 1249 PCGAMGSetNlevels - 1250 1251 Not collective on PC 1252 1253 Input Parameters: 1254 . pc - the preconditioner context 1255 1256 1257 Options Database Key: 1258 . -pc_mg_levels 1259 1260 Level: intermediate 1261 1262 Concepts: Unstructured multrigrid preconditioner 1263 1264 .seealso: () 1265 @*/ 1266 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1267 { 1268 PetscErrorCode ierr; 1269 1270 PetscFunctionBegin; 1271 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1272 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1273 PetscFunctionReturn(0); 1274 } 1275 1276 EXTERN_C_BEGIN 1277 #undef __FUNCT__ 1278 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1279 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1280 { 1281 PC_MG *mg = (PC_MG*)pc->data; 1282 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1283 1284 PetscFunctionBegin; 1285 pc_gamg->Nlevels = n; 1286 PetscFunctionReturn(0); 1287 } 1288 EXTERN_C_END 1289 1290 #undef __FUNCT__ 1291 #define __FUNCT__ "PCGAMGSetThreshold" 1292 /*@ 1293 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1294 1295 Not collective on PC 1296 1297 Input Parameters: 1298 . pc - the preconditioner context 1299 1300 1301 Options Database Key: 1302 . -pc_gamg_threshold 1303 1304 Level: intermediate 1305 1306 Concepts: Unstructured multrigrid preconditioner 1307 1308 .seealso: () 1309 @*/ 1310 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1311 { 1312 PetscErrorCode ierr; 1313 1314 PetscFunctionBegin; 1315 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1316 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1317 PetscFunctionReturn(0); 1318 } 1319 1320 EXTERN_C_BEGIN 1321 #undef __FUNCT__ 1322 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1323 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1324 { 1325 PC_MG *mg = (PC_MG*)pc->data; 1326 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1327 1328 PetscFunctionBegin; 1329 pc_gamg->threshold = n; 1330 PetscFunctionReturn(0); 1331 } 1332 EXTERN_C_END 1333 1334 #undef __FUNCT__ 1335 #define __FUNCT__ "PCGAMGSetType" 1336 /*@ 1337 PCGAMGSetType - Set solution method - calls sub create method 1338 1339 Collective on PC 1340 1341 Input Parameters: 1342 . pc - the preconditioner context 1343 1344 1345 Options Database Key: 1346 . -pc_gamg_type 1347 1348 Level: intermediate 1349 1350 Concepts: Unstructured multrigrid preconditioner 1351 1352 .seealso: () 1353 @*/ 1354 PetscErrorCode PCGAMGSetType(PC pc, PCGAMGType type) 1355 { 1356 PetscErrorCode ierr; 1357 1358 PetscFunctionBegin; 1359 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1360 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,PCGAMGType),(pc,type));CHKERRQ(ierr); 1361 PetscFunctionReturn(0); 1362 } 1363 1364 EXTERN_C_BEGIN 1365 #undef __FUNCT__ 1366 #define __FUNCT__ "PCGAMGSetType_GAMG" 1367 PetscErrorCode PCGAMGSetType_GAMG(PC pc, PCGAMGType type) 1368 { 1369 PetscErrorCode ierr,(*r)(PC); 1370 1371 PetscFunctionBegin; 1372 ierr = PetscFunctionListFind(((PetscObject)pc)->comm,GAMGList,type,PETSC_FALSE,(PetscVoidStarFunction)&r);CHKERRQ(ierr); 1373 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1374 ierr = (*r)(pc);CHKERRQ(ierr); 1375 PetscFunctionReturn(0); 1376 } 1377 EXTERN_C_END 1378 1379 #undef __FUNCT__ 1380 #define __FUNCT__ "PCSetFromOptions_GAMG" 1381 PetscErrorCode PCSetFromOptions_GAMG(PC pc) 1382 { 1383 PetscErrorCode ierr; 1384 PC_MG *mg = (PC_MG*)pc->data; 1385 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1386 PetscBool flag; 1387 PetscInt two = 2; 1388 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1389 1390 PetscFunctionBegin; 1391 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1392 { 1393 /* -pc_gamg_verbose */ 1394 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1395 "none", pc_gamg->verbose, 1396 &pc_gamg->verbose, PETSC_NULL);CHKERRQ(ierr); 1397 /* -pc_gamg_repartition */ 1398 ierr = PetscOptionsBool("-pc_gamg_repartition", 1399 "Repartion coarse grids (false)", 1400 "PCGAMGRepartitioning", 1401 pc_gamg->repart, 1402 &pc_gamg->repart, 1403 &flag);CHKERRQ(ierr); 1404 /* -pc_gamg_reuse_interpolation */ 1405 ierr = PetscOptionsBool("-pc_gamg_reuse_interpolation", 1406 "Reuse prolongation operator (true)", 1407 "PCGAMGReuseProl", 1408 pc_gamg->reuse_prol, 1409 &pc_gamg->reuse_prol, 1410 &flag);CHKERRQ(ierr); 1411 /* -pc_gamg_use_agg_gasm */ 1412 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1413 "Use aggregation agragates for GASM smoother (false)", 1414 "PCGAMGUseASMAggs", 1415 pc_gamg->use_aggs_in_gasm, 1416 &pc_gamg->use_aggs_in_gasm, 1417 &flag);CHKERRQ(ierr); 1418 /* -pc_gamg_process_eq_limit */ 1419 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1420 "Limit (goal) on number of equations per process on coarse grids", 1421 "PCGAMGSetProcEqLim", 1422 pc_gamg->min_eq_proc, 1423 &pc_gamg->min_eq_proc, 1424 &flag);CHKERRQ(ierr); 1425 /* -pc_gamg_coarse_eq_limit */ 1426 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1427 "Limit on number of equations for the coarse grid", 1428 "PCGAMGSetCoarseEqLim", 1429 pc_gamg->coarse_eq_limit, 1430 &pc_gamg->coarse_eq_limit, 1431 &flag);CHKERRQ(ierr); 1432 /* -pc_gamg_threshold */ 1433 ierr = PetscOptionsReal("-pc_gamg_threshold", 1434 "Relative threshold to use for dropping edges in aggregation graph", 1435 "PCGAMGSetThreshold", 1436 pc_gamg->threshold, 1437 &pc_gamg->threshold, 1438 &flag);CHKERRQ(ierr); 1439 if (flag && pc_gamg->verbose) { 1440 ierr = PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold);CHKERRQ(ierr); 1441 } 1442 1443 ierr = PetscOptionsRealArray("-pc_gamg_eigtarget","Target eigenvalue range as fraction of estimated maximum eigenvalue","PCGAMGSetEigTarget",pc_gamg->eigtarget,&two,PETSC_NULL);CHKERRQ(ierr); 1444 ierr = PetscOptionsInt("-pc_mg_levels", 1445 "Set number of MG levels", 1446 "PCGAMGSetNlevels", 1447 pc_gamg->Nlevels, 1448 &pc_gamg->Nlevels, 1449 &flag);CHKERRQ(ierr); 1450 } 1451 ierr = PetscOptionsTail();CHKERRQ(ierr); 1452 1453 PetscFunctionReturn(0); 1454 } 1455 1456 /* -------------------------------------------------------------------------- */ 1457 /*MC 1458 PCGAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1459 - This is the entry point to GAMG, registered in pcregis.c 1460 1461 Options Database Keys: 1462 Multigrid options(inherited) 1463 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1464 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1465 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1466 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full kascade 1467 1468 Level: intermediate 1469 1470 Concepts: multigrid 1471 1472 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1473 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1474 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1475 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1476 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1477 M*/ 1478 EXTERN_C_BEGIN 1479 #undef __FUNCT__ 1480 #define __FUNCT__ "PCCreate_GAMG" 1481 PetscErrorCode PCCreate_GAMG(PC pc) 1482 { 1483 PetscErrorCode ierr; 1484 PC_GAMG *pc_gamg; 1485 PC_MG *mg; 1486 #if defined PETSC_GAMG_USE_LOG 1487 static long count = 0; 1488 #endif 1489 1490 PetscFunctionBegin; 1491 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1492 ierr = PCSetType(pc, PCMG);CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1493 ierr = PetscObjectChangeTypeName((PetscObject)pc, PCGAMG);CHKERRQ(ierr); 1494 1495 /* create a supporting struct and attach it to pc */ 1496 ierr = PetscNewLog(pc, PC_GAMG, &pc_gamg);CHKERRQ(ierr); 1497 mg = (PC_MG*)pc->data; 1498 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1499 mg->innerctx = pc_gamg; 1500 1501 pc_gamg->setup_count = 0; 1502 /* these should be in subctx but repartitioning needs simple arrays */ 1503 pc_gamg->data_sz = 0; 1504 pc_gamg->data = 0; 1505 1506 /* register AMG type */ 1507 if (!GAMGList) { 1508 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1509 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1510 } 1511 1512 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1513 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1514 pc->ops->setup = PCSetUp_GAMG; 1515 pc->ops->reset = PCReset_GAMG; 1516 pc->ops->destroy = PCDestroy_GAMG; 1517 1518 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1519 "PCGAMGSetProcEqLim_C", 1520 "PCGAMGSetProcEqLim_GAMG", 1521 PCGAMGSetProcEqLim_GAMG);CHKERRQ(ierr); 1522 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1523 "PCGAMGSetCoarseEqLim_C", 1524 "PCGAMGSetCoarseEqLim_GAMG", 1525 PCGAMGSetCoarseEqLim_GAMG);CHKERRQ(ierr); 1526 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1527 "PCGAMGSetRepartitioning_C", 1528 "PCGAMGSetRepartitioning_GAMG", 1529 PCGAMGSetRepartitioning_GAMG);CHKERRQ(ierr); 1530 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1531 "PCGAMGSetReuseProl_C", 1532 "PCGAMGSetReuseProl_GAMG", 1533 PCGAMGSetReuseProl_GAMG);CHKERRQ(ierr); 1534 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1535 "PCGAMGSetUseASMAggs_C", 1536 "PCGAMGSetUseASMAggs_GAMG", 1537 PCGAMGSetUseASMAggs_GAMG);CHKERRQ(ierr); 1538 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1539 "PCGAMGSetThreshold_C", 1540 "PCGAMGSetThreshold_GAMG", 1541 PCGAMGSetThreshold_GAMG);CHKERRQ(ierr); 1542 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1543 "PCGAMGSetType_C", 1544 "PCGAMGSetType_GAMG", 1545 PCGAMGSetType_GAMG);CHKERRQ(ierr); 1546 pc_gamg->repart = PETSC_FALSE; 1547 pc_gamg->reuse_prol = PETSC_TRUE; 1548 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1549 pc_gamg->min_eq_proc = 100; 1550 pc_gamg->coarse_eq_limit = 800; 1551 pc_gamg->threshold = 0.001; 1552 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1553 pc_gamg->verbose = 0; 1554 pc_gamg->emax_id = -1; 1555 pc_gamg->eigtarget[0] = 0.05; 1556 pc_gamg->eigtarget[1] = 1.05; 1557 1558 /* private events */ 1559 #if defined PETSC_GAMG_USE_LOG 1560 if (count++ == 0) { 1561 ierr = PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]);CHKERRQ(ierr); 1562 ierr = PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]);CHKERRQ(ierr); 1563 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1564 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1565 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1566 ierr = PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]);CHKERRQ(ierr); 1567 ierr = PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]);CHKERRQ(ierr); 1568 ierr = PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]);CHKERRQ(ierr); 1569 ierr = PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]);CHKERRQ(ierr); 1570 ierr = PetscLogEventRegister(" SA: col data", PC_CLASSID, &petsc_gamg_setup_events[SET7]);CHKERRQ(ierr); 1571 ierr = PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]);CHKERRQ(ierr); 1572 ierr = PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]);CHKERRQ(ierr); 1573 ierr = PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]);CHKERRQ(ierr); 1574 ierr = PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]);CHKERRQ(ierr); 1575 ierr = PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]);CHKERRQ(ierr); 1576 ierr = PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]);CHKERRQ(ierr); 1577 ierr = PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]);CHKERRQ(ierr); 1578 1579 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1580 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1581 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1582 /* create timer stages */ 1583 #if defined GAMG_STAGES 1584 { 1585 char str[32]; 1586 PetscInt lidx; 1587 sprintf(str,"MG Level %d (finest)",0); 1588 ierr = PetscLogStageRegister(str, &gamg_stages[0]);CHKERRQ(ierr); 1589 for (lidx=1;lidx<9;lidx++) { 1590 sprintf(str,"MG Level %d",lidx); 1591 ierr = PetscLogStageRegister(str, &gamg_stages[lidx]);CHKERRQ(ierr); 1592 } 1593 } 1594 #endif 1595 } 1596 #endif 1597 /* general events */ 1598 #if defined PETSC_USE_LOG 1599 ierr = PetscLogEventRegister("PCGAMGgraph_AGG", 0, &PC_GAMGGgraph_AGG);CHKERRQ(ierr); 1600 ierr = PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO);CHKERRQ(ierr); 1601 ierr = PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG);CHKERRQ(ierr); 1602 ierr = PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO);CHKERRQ(ierr); 1603 ierr = PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG);CHKERRQ(ierr); 1604 ierr = PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO);CHKERRQ(ierr); 1605 ierr = PetscLogEventRegister("PCGAMGPOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG);CHKERRQ(ierr); 1606 ierr = PetscLogEventRegister("GAMGKKTProl_AGG", PC_CLASSID, &PC_GAMGKKTProl_AGG);CHKERRQ(ierr); 1607 #endif 1608 1609 /* instantiate derived type */ 1610 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1611 { 1612 char tname[256] = GAMGAGG; 1613 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType",GAMGList, tname, tname, sizeof(tname), PETSC_NULL);CHKERRQ(ierr); 1614 ierr = PCGAMGSetType(pc, tname);CHKERRQ(ierr); 1615 } 1616 ierr = PetscOptionsTail();CHKERRQ(ierr); 1617 PetscFunctionReturn(0); 1618 } 1619 EXTERN_C_END 1620