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]; 693 Mat a[4]; 694 695 is_row[0] = kktMatsArr[level].prim_is; is_row[1] = kktMatsArr[level].constr_is; 696 a[0] = Prol11; a[1] = PETSC_NULL; a[2] = PETSC_NULL; a[3] = Prol22; 697 ierr = MatCreateNest(wcomm,2,is_row, 2, is_row, a, &Parr[level1]);CHKERRQ(ierr); 698 } else { 699 Parr[level1] = Prol11; 700 } 701 } else Parr[level1] = PETSC_NULL; 702 703 if (pc_gamg->use_aggs_in_gasm) { 704 ierr = PetscCDGetASMBlocks(agg_lists, bs, &nASMBlocksArr[level], &ASMLocalIDsArr[level]);CHKERRQ(ierr); 705 } 706 707 ierr = MatDestroy(&Gmat);CHKERRQ(ierr); 708 ierr = PetscCDDestroy(agg_lists);CHKERRQ(ierr); 709 } /* construct prolongator scope */ 710 #if defined PETSC_GAMG_USE_LOG 711 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 712 #endif 713 /* cache eigen estimate */ 714 if (pc_gamg->emax_id != -1) { 715 PetscBool flag; 716 ierr = PetscObjectComposedDataGetReal((PetscObject)kktMatsArr[level].A11, pc_gamg->emax_id, emaxs[level], flag);CHKERRQ(ierr); 717 if (!flag) emaxs[level] = -1.; 718 } else emaxs[level] = -1.; 719 if (level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 720 if (!Parr[level1]) { 721 if (pc_gamg->verbose) { 722 ierr = PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",mype,__FUNCT__,level);CHKERRQ(ierr); 723 } 724 break; 725 } 726 #if defined PETSC_GAMG_USE_LOG 727 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 728 #endif 729 730 ierr = createLevel(pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), 731 stokes, &Parr[level1], &Aarr[level1], &nactivepe);CHKERRQ(ierr); 732 733 #if defined PETSC_GAMG_USE_LOG 734 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 735 #endif 736 ierr = MatGetSize(Aarr[level1], &M, &qq);CHKERRQ(ierr); 737 738 if (pc_gamg->verbose > 0) { 739 PetscInt NN = M; 740 if (pc_gamg->verbose==1) { 741 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info);CHKERRQ(ierr); 742 ierr = MatGetLocalSize(Aarr[level1], &NN, &qq);CHKERRQ(ierr); 743 } else { 744 ierr = MatGetInfo(Aarr[level1], MAT_GLOBAL_SUM, &info);CHKERRQ(ierr); 745 } 746 747 nnztot += info.nz_used; 748 ierr = PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 749 mype,__FUNCT__,(int)level1,M,pc_gamg->data_cell_cols, 750 (int)(info.nz_used/(PetscReal)NN), nactivepe);CHKERRQ(ierr); 751 } 752 753 /* stop if one node -- could pull back for singular problems */ 754 if (M/pc_gamg->data_cell_cols < 2) { 755 level++; 756 break; 757 } 758 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 759 ierr = PetscLogStagePop();CHKERRQ(ierr); 760 #endif 761 } /* levels */ 762 763 if (pc_gamg->data) { 764 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 765 pc_gamg->data = PETSC_NULL; 766 } 767 768 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 769 pc_gamg->Nlevels = level + 1; 770 fine_level = level; 771 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 772 773 /* simple setup */ 774 if (!PETSC_TRUE) { 775 PC_MG_Levels **mglevels = mg->levels; 776 for (lidx=0,level=pc_gamg->Nlevels-1; 777 lidx<fine_level; 778 lidx++, level--) { 779 ierr = PCMGSetInterpolation(pc, lidx+1, Parr[level]);CHKERRQ(ierr); 780 ierr = KSPSetOperators(mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 781 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 782 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 783 } 784 ierr = KSPSetOperators(mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 785 786 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 787 } else if (pc_gamg->Nlevels > 1) { /* don't setup MG if one level */ 788 /* set default smoothers & set operators */ 789 for (lidx = 1, level = pc_gamg->Nlevels-2; 790 lidx <= fine_level; 791 lidx++, level--) { 792 KSP smoother; 793 PC subpc; 794 795 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 796 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 797 798 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 799 /* set ops */ 800 ierr = KSPSetOperators(smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 801 ierr = PCMGSetInterpolation(pc, lidx, Parr[level+1]);CHKERRQ(ierr); 802 803 /* create field split PC, get subsmoother */ 804 if (stokes) { 805 KSP *ksps; 806 PetscInt nn; 807 ierr = PCFieldSplitSetIS(subpc,"0",kktMatsArr[level].prim_is);CHKERRQ(ierr); 808 ierr = PCFieldSplitSetIS(subpc,"1",kktMatsArr[level].constr_is);CHKERRQ(ierr); 809 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 810 smoother = ksps[0]; 811 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 812 ierr = PetscFree(ksps);CHKERRQ(ierr); 813 } 814 ierr = GAMGKKTMatDestroy(&kktMatsArr[level]);CHKERRQ(ierr); 815 816 /* set defaults */ 817 ierr = KSPSetType(smoother, KSPCHEBYSHEV);CHKERRQ(ierr); 818 819 /* override defaults and command line args (!) */ 820 if (pc_gamg->use_aggs_in_gasm) { 821 PetscInt sz; 822 IS *is; 823 824 sz = nASMBlocksArr[level]; 825 is = ASMLocalIDsArr[level]; 826 ierr = PCSetType(subpc, PCGASM);CHKERRQ(ierr); 827 if (sz==0) { 828 IS is; 829 PetscInt my0,kk; 830 ierr = MatGetOwnershipRange(Aarr[level], &my0, &kk);CHKERRQ(ierr); 831 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is);CHKERRQ(ierr); 832 ierr = PCGASMSetSubdomains(subpc, 1, &is, PETSC_NULL);CHKERRQ(ierr); 833 ierr = ISDestroy(&is);CHKERRQ(ierr); 834 } else { 835 PetscInt kk; 836 ierr = PCGASMSetSubdomains(subpc, sz, is, PETSC_NULL);CHKERRQ(ierr); 837 for (kk=0;kk<sz;kk++) { 838 ierr = ISDestroy(&is[kk]);CHKERRQ(ierr); 839 } 840 ierr = PetscFree(is);CHKERRQ(ierr); 841 } 842 ierr = PCGASMSetOverlap(subpc, 0);CHKERRQ(ierr); 843 844 ASMLocalIDsArr[level] = PETSC_NULL; 845 nASMBlocksArr[level] = 0; 846 ierr = PCGASMSetType(subpc, PC_GASM_BASIC);CHKERRQ(ierr); 847 } else { 848 ierr = PCSetType(subpc, PCJACOBI);CHKERRQ(ierr); 849 } 850 } 851 { 852 /* coarse grid */ 853 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 854 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 855 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 856 ierr = KSPSetOperators(smoother, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 857 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 858 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 859 ierr = PCSetType(subpc, PCBJACOBI);CHKERRQ(ierr); 860 ierr = PCSetUp(subpc);CHKERRQ(ierr); 861 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); 862 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 863 ierr = PCSetType(pc2, PCLU);CHKERRQ(ierr); 864 ierr = PCFactorSetShiftType(pc2,MAT_SHIFT_INBLOCKS);CHKERRQ(ierr); 865 } 866 867 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 868 ierr = PetscObjectOptionsBegin((PetscObject)pc);CHKERRQ(ierr); 869 ierr = PCSetFromOptions_MG(pc);CHKERRQ(ierr); 870 ierr = PetscOptionsEnd();CHKERRQ(ierr); 871 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 872 873 /* create cheby smoothers */ 874 for (lidx = 1, level = pc_gamg->Nlevels-2; 875 lidx <= fine_level; 876 lidx++, level--) { 877 KSP smoother; 878 PetscBool flag; 879 PC subpc; 880 881 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 882 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 883 884 /* create field split PC, get subsmoother */ 885 if (stokes) { 886 KSP *ksps; 887 PetscInt nn; 888 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 889 smoother = ksps[0]; 890 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 891 ierr = PetscFree(ksps);CHKERRQ(ierr); 892 } 893 894 /* do my own cheby */ 895 ierr = PetscObjectTypeCompare((PetscObject)smoother, KSPCHEBYSHEV, &flag);CHKERRQ(ierr); 896 if (flag) { 897 PetscReal emax, emin; 898 ierr = PetscObjectTypeCompare((PetscObject)subpc, PCJACOBI, &flag);CHKERRQ(ierr); 899 if (flag && emaxs[level] > 0.0) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 900 else { /* eigen estimate 'emax' */ 901 KSP eksp; 902 Mat Lmat = Aarr[level]; 903 Vec bb, xx; 904 905 ierr = MatGetVecs(Lmat, &bb, 0);CHKERRQ(ierr); 906 ierr = MatGetVecs(Lmat, &xx, 0);CHKERRQ(ierr); 907 { 908 PetscRandom rctx; 909 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 910 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 911 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 912 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 913 } 914 915 /* zeroing out BC rows -- needed for crazy matrices */ 916 { 917 PetscInt Istart,Iend,ncols,jj,Ii; 918 PetscScalar zero = 0.0; 919 ierr = MatGetOwnershipRange(Lmat, &Istart, &Iend);CHKERRQ(ierr); 920 for (Ii = Istart, jj = 0 ; Ii < Iend ; Ii++, jj++) { 921 ierr = MatGetRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 922 if (ncols <= 1) { 923 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 924 } 925 ierr = MatRestoreRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 926 } 927 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 928 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 929 } 930 931 ierr = KSPCreate(wcomm, &eksp);CHKERRQ(ierr); 932 ierr = KSPSetTolerances(eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10);CHKERRQ(ierr); 933 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 934 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 935 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 936 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 937 938 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 939 ierr = KSPSetOperators(eksp, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 940 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 941 942 /* set PC type to be same as smoother */ 943 ierr = KSPSetPC(eksp, subpc);CHKERRQ(ierr); 944 945 /* solve - keep stuff out of logging */ 946 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 947 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 948 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 949 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 950 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 951 952 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 953 954 ierr = VecDestroy(&xx);CHKERRQ(ierr); 955 ierr = VecDestroy(&bb);CHKERRQ(ierr); 956 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 957 958 if (pc_gamg->verbose > 0) { 959 PetscInt N1, tt; 960 ierr = MatGetSize(Aarr[level], &N1, &tt);CHKERRQ(ierr); 961 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 962 } 963 } 964 { 965 PetscInt N1, N0; 966 ierr = MatGetSize(Aarr[level], &N1, PETSC_NULL);CHKERRQ(ierr); 967 ierr = MatGetSize(Aarr[level+1], &N0, PETSC_NULL);CHKERRQ(ierr); 968 /* heuristic - is this crap? */ 969 /* emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); */ 970 emin = emax * pc_gamg->eigtarget[0]; 971 emax *= pc_gamg->eigtarget[1]; 972 } 973 ierr = KSPChebyshevSetEigenvalues(smoother, emax, emin);CHKERRQ(ierr); 974 } /* setup checby flag */ 975 } /* non-coarse levels */ 976 977 /* clean up */ 978 for (level=1;level<pc_gamg->Nlevels;level++) { 979 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 980 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 981 } 982 983 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 984 985 if (PETSC_TRUE) { 986 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 987 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 988 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 989 } 990 } else { 991 KSP smoother; 992 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",mype,__FUNCT__); 993 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 994 ierr = KSPSetOperators(smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 995 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 996 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 997 } 998 999 PetscFunctionReturn(0); 1000 } 1001 1002 /* ------------------------------------------------------------------------- */ 1003 /* 1004 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 1005 that was created with PCCreate_GAMG(). 1006 1007 Input Parameter: 1008 . pc - the preconditioner context 1009 1010 Application Interface Routine: PCDestroy() 1011 */ 1012 #undef __FUNCT__ 1013 #define __FUNCT__ "PCDestroy_GAMG" 1014 PetscErrorCode PCDestroy_GAMG(PC pc) 1015 { 1016 PetscErrorCode ierr; 1017 PC_MG *mg = (PC_MG*)pc->data; 1018 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 1019 1020 PetscFunctionBegin; 1021 ierr = PCReset_GAMG(pc);CHKERRQ(ierr); 1022 ierr = PetscFree(pc_gamg);CHKERRQ(ierr); 1023 ierr = PCDestroy_MG(pc);CHKERRQ(ierr); 1024 PetscFunctionReturn(0); 1025 } 1026 1027 1028 #undef __FUNCT__ 1029 #define __FUNCT__ "PCGAMGSetProcEqLim" 1030 /*@ 1031 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 1032 processor reduction. 1033 1034 Not Collective on PC 1035 1036 Input Parameters: 1037 . pc - the preconditioner context 1038 1039 1040 Options Database Key: 1041 . -pc_gamg_process_eq_limit 1042 1043 Level: intermediate 1044 1045 Concepts: Unstructured multrigrid preconditioner 1046 1047 .seealso: () 1048 @*/ 1049 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 1050 { 1051 PetscErrorCode ierr; 1052 1053 PetscFunctionBegin; 1054 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1055 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1056 PetscFunctionReturn(0); 1057 } 1058 1059 EXTERN_C_BEGIN 1060 #undef __FUNCT__ 1061 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 1062 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 1063 { 1064 PC_MG *mg = (PC_MG*)pc->data; 1065 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1066 1067 PetscFunctionBegin; 1068 if (n>0) pc_gamg->min_eq_proc = n; 1069 PetscFunctionReturn(0); 1070 } 1071 EXTERN_C_END 1072 1073 #undef __FUNCT__ 1074 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 1075 /*@ 1076 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 1077 1078 Collective on PC 1079 1080 Input Parameters: 1081 . pc - the preconditioner context 1082 1083 1084 Options Database Key: 1085 . -pc_gamg_coarse_eq_limit 1086 1087 Level: intermediate 1088 1089 Concepts: Unstructured multrigrid preconditioner 1090 1091 .seealso: () 1092 @*/ 1093 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 1094 { 1095 PetscErrorCode ierr; 1096 1097 PetscFunctionBegin; 1098 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1099 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1100 PetscFunctionReturn(0); 1101 } 1102 1103 EXTERN_C_BEGIN 1104 #undef __FUNCT__ 1105 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 1106 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 1107 { 1108 PC_MG *mg = (PC_MG*)pc->data; 1109 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1110 1111 PetscFunctionBegin; 1112 if (n>0) pc_gamg->coarse_eq_limit = n; 1113 PetscFunctionReturn(0); 1114 } 1115 EXTERN_C_END 1116 1117 #undef __FUNCT__ 1118 #define __FUNCT__ "PCGAMGSetRepartitioning" 1119 /*@ 1120 PCGAMGSetRepartitioning - Repartition the coarse grids 1121 1122 Collective on PC 1123 1124 Input Parameters: 1125 . pc - the preconditioner context 1126 1127 1128 Options Database Key: 1129 . -pc_gamg_repartition 1130 1131 Level: intermediate 1132 1133 Concepts: Unstructured multrigrid preconditioner 1134 1135 .seealso: () 1136 @*/ 1137 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 1138 { 1139 PetscErrorCode ierr; 1140 1141 PetscFunctionBegin; 1142 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1143 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1144 PetscFunctionReturn(0); 1145 } 1146 1147 EXTERN_C_BEGIN 1148 #undef __FUNCT__ 1149 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1150 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1151 { 1152 PC_MG *mg = (PC_MG*)pc->data; 1153 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1154 1155 PetscFunctionBegin; 1156 pc_gamg->repart = n; 1157 PetscFunctionReturn(0); 1158 } 1159 EXTERN_C_END 1160 1161 #undef __FUNCT__ 1162 #define __FUNCT__ "PCGAMGSetReuseProl" 1163 /*@ 1164 PCGAMGSetReuseProl - Reuse prlongation 1165 1166 Collective on PC 1167 1168 Input Parameters: 1169 . pc - the preconditioner context 1170 1171 1172 Options Database Key: 1173 . -pc_gamg_reuse_interpolation 1174 1175 Level: intermediate 1176 1177 Concepts: Unstructured multrigrid preconditioner 1178 1179 .seealso: () 1180 @*/ 1181 PetscErrorCode PCGAMGSetReuseProl(PC pc, PetscBool n) 1182 { 1183 PetscErrorCode ierr; 1184 1185 PetscFunctionBegin; 1186 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1187 ierr = PetscTryMethod(pc,"PCGAMGSetReuseProl_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1188 PetscFunctionReturn(0); 1189 } 1190 1191 EXTERN_C_BEGIN 1192 #undef __FUNCT__ 1193 #define __FUNCT__ "PCGAMGSetReuseProl_GAMG" 1194 PetscErrorCode PCGAMGSetReuseProl_GAMG(PC pc, PetscBool n) 1195 { 1196 PC_MG *mg = (PC_MG*)pc->data; 1197 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1198 1199 PetscFunctionBegin; 1200 pc_gamg->reuse_prol = n; 1201 PetscFunctionReturn(0); 1202 } 1203 EXTERN_C_END 1204 1205 #undef __FUNCT__ 1206 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1207 /*@ 1208 PCGAMGSetUseASMAggs - 1209 1210 Collective on PC 1211 1212 Input Parameters: 1213 . pc - the preconditioner context 1214 1215 1216 Options Database Key: 1217 . -pc_gamg_use_agg_gasm 1218 1219 Level: intermediate 1220 1221 Concepts: Unstructured multrigrid preconditioner 1222 1223 .seealso: () 1224 @*/ 1225 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1226 { 1227 PetscErrorCode ierr; 1228 1229 PetscFunctionBegin; 1230 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1231 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1232 PetscFunctionReturn(0); 1233 } 1234 1235 EXTERN_C_BEGIN 1236 #undef __FUNCT__ 1237 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1238 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1239 { 1240 PC_MG *mg = (PC_MG*)pc->data; 1241 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1242 1243 PetscFunctionBegin; 1244 pc_gamg->use_aggs_in_gasm = n; 1245 PetscFunctionReturn(0); 1246 } 1247 EXTERN_C_END 1248 1249 #undef __FUNCT__ 1250 #define __FUNCT__ "PCGAMGSetNlevels" 1251 /*@ 1252 PCGAMGSetNlevels - 1253 1254 Not collective on PC 1255 1256 Input Parameters: 1257 . pc - the preconditioner context 1258 1259 1260 Options Database Key: 1261 . -pc_mg_levels 1262 1263 Level: intermediate 1264 1265 Concepts: Unstructured multrigrid preconditioner 1266 1267 .seealso: () 1268 @*/ 1269 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1270 { 1271 PetscErrorCode ierr; 1272 1273 PetscFunctionBegin; 1274 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1275 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1276 PetscFunctionReturn(0); 1277 } 1278 1279 EXTERN_C_BEGIN 1280 #undef __FUNCT__ 1281 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1282 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1283 { 1284 PC_MG *mg = (PC_MG*)pc->data; 1285 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1286 1287 PetscFunctionBegin; 1288 pc_gamg->Nlevels = n; 1289 PetscFunctionReturn(0); 1290 } 1291 EXTERN_C_END 1292 1293 #undef __FUNCT__ 1294 #define __FUNCT__ "PCGAMGSetThreshold" 1295 /*@ 1296 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1297 1298 Not collective on PC 1299 1300 Input Parameters: 1301 . pc - the preconditioner context 1302 1303 1304 Options Database Key: 1305 . -pc_gamg_threshold 1306 1307 Level: intermediate 1308 1309 Concepts: Unstructured multrigrid preconditioner 1310 1311 .seealso: () 1312 @*/ 1313 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1314 { 1315 PetscErrorCode ierr; 1316 1317 PetscFunctionBegin; 1318 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1319 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1320 PetscFunctionReturn(0); 1321 } 1322 1323 EXTERN_C_BEGIN 1324 #undef __FUNCT__ 1325 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1326 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1327 { 1328 PC_MG *mg = (PC_MG*)pc->data; 1329 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1330 1331 PetscFunctionBegin; 1332 pc_gamg->threshold = n; 1333 PetscFunctionReturn(0); 1334 } 1335 EXTERN_C_END 1336 1337 #undef __FUNCT__ 1338 #define __FUNCT__ "PCGAMGSetType" 1339 /*@ 1340 PCGAMGSetType - Set solution method - calls sub create method 1341 1342 Collective on PC 1343 1344 Input Parameters: 1345 . pc - the preconditioner context 1346 1347 1348 Options Database Key: 1349 . -pc_gamg_type 1350 1351 Level: intermediate 1352 1353 Concepts: Unstructured multrigrid preconditioner 1354 1355 .seealso: () 1356 @*/ 1357 PetscErrorCode PCGAMGSetType(PC pc, PCGAMGType type) 1358 { 1359 PetscErrorCode ierr; 1360 1361 PetscFunctionBegin; 1362 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1363 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,PCGAMGType),(pc,type));CHKERRQ(ierr); 1364 PetscFunctionReturn(0); 1365 } 1366 1367 EXTERN_C_BEGIN 1368 #undef __FUNCT__ 1369 #define __FUNCT__ "PCGAMGSetType_GAMG" 1370 PetscErrorCode PCGAMGSetType_GAMG(PC pc, PCGAMGType type) 1371 { 1372 PetscErrorCode ierr,(*r)(PC); 1373 1374 PetscFunctionBegin; 1375 ierr = PetscFunctionListFind(((PetscObject)pc)->comm,GAMGList,type,PETSC_FALSE,(PetscVoidStarFunction)&r);CHKERRQ(ierr); 1376 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1377 ierr = (*r)(pc);CHKERRQ(ierr); 1378 PetscFunctionReturn(0); 1379 } 1380 EXTERN_C_END 1381 1382 #undef __FUNCT__ 1383 #define __FUNCT__ "PCSetFromOptions_GAMG" 1384 PetscErrorCode PCSetFromOptions_GAMG(PC pc) 1385 { 1386 PetscErrorCode ierr; 1387 PC_MG *mg = (PC_MG*)pc->data; 1388 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1389 PetscBool flag; 1390 PetscInt two = 2; 1391 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1392 1393 PetscFunctionBegin; 1394 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1395 { 1396 /* -pc_gamg_verbose */ 1397 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1398 "none", pc_gamg->verbose, 1399 &pc_gamg->verbose, PETSC_NULL);CHKERRQ(ierr); 1400 /* -pc_gamg_repartition */ 1401 ierr = PetscOptionsBool("-pc_gamg_repartition", 1402 "Repartion coarse grids (false)", 1403 "PCGAMGRepartitioning", 1404 pc_gamg->repart, 1405 &pc_gamg->repart, 1406 &flag);CHKERRQ(ierr); 1407 /* -pc_gamg_reuse_interpolation */ 1408 ierr = PetscOptionsBool("-pc_gamg_reuse_interpolation", 1409 "Reuse prolongation operator (true)", 1410 "PCGAMGReuseProl", 1411 pc_gamg->reuse_prol, 1412 &pc_gamg->reuse_prol, 1413 &flag);CHKERRQ(ierr); 1414 /* -pc_gamg_use_agg_gasm */ 1415 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1416 "Use aggregation agragates for GASM smoother (false)", 1417 "PCGAMGUseASMAggs", 1418 pc_gamg->use_aggs_in_gasm, 1419 &pc_gamg->use_aggs_in_gasm, 1420 &flag);CHKERRQ(ierr); 1421 /* -pc_gamg_process_eq_limit */ 1422 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1423 "Limit (goal) on number of equations per process on coarse grids", 1424 "PCGAMGSetProcEqLim", 1425 pc_gamg->min_eq_proc, 1426 &pc_gamg->min_eq_proc, 1427 &flag);CHKERRQ(ierr); 1428 /* -pc_gamg_coarse_eq_limit */ 1429 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1430 "Limit on number of equations for the coarse grid", 1431 "PCGAMGSetCoarseEqLim", 1432 pc_gamg->coarse_eq_limit, 1433 &pc_gamg->coarse_eq_limit, 1434 &flag);CHKERRQ(ierr); 1435 /* -pc_gamg_threshold */ 1436 ierr = PetscOptionsReal("-pc_gamg_threshold", 1437 "Relative threshold to use for dropping edges in aggregation graph", 1438 "PCGAMGSetThreshold", 1439 pc_gamg->threshold, 1440 &pc_gamg->threshold, 1441 &flag);CHKERRQ(ierr); 1442 if (flag && pc_gamg->verbose) { 1443 ierr = PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold);CHKERRQ(ierr); 1444 } 1445 1446 ierr = PetscOptionsRealArray("-pc_gamg_eigtarget","Target eigenvalue range as fraction of estimated maximum eigenvalue","PCGAMGSetEigTarget",pc_gamg->eigtarget,&two,PETSC_NULL);CHKERRQ(ierr); 1447 ierr = PetscOptionsInt("-pc_mg_levels", 1448 "Set number of MG levels", 1449 "PCGAMGSetNlevels", 1450 pc_gamg->Nlevels, 1451 &pc_gamg->Nlevels, 1452 &flag);CHKERRQ(ierr); 1453 } 1454 ierr = PetscOptionsTail();CHKERRQ(ierr); 1455 1456 PetscFunctionReturn(0); 1457 } 1458 1459 /* -------------------------------------------------------------------------- */ 1460 /*MC 1461 PCGAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1462 - This is the entry point to GAMG, registered in pcregis.c 1463 1464 Options Database Keys: 1465 Multigrid options(inherited) 1466 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1467 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1468 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1469 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full kascade 1470 1471 Level: intermediate 1472 1473 Concepts: multigrid 1474 1475 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1476 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1477 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1478 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1479 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1480 M*/ 1481 EXTERN_C_BEGIN 1482 #undef __FUNCT__ 1483 #define __FUNCT__ "PCCreate_GAMG" 1484 PetscErrorCode PCCreate_GAMG(PC pc) 1485 { 1486 PetscErrorCode ierr; 1487 PC_GAMG *pc_gamg; 1488 PC_MG *mg; 1489 #if defined PETSC_GAMG_USE_LOG 1490 static long count = 0; 1491 #endif 1492 1493 PetscFunctionBegin; 1494 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1495 ierr = PCSetType(pc, PCMG);CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1496 ierr = PetscObjectChangeTypeName((PetscObject)pc, PCGAMG);CHKERRQ(ierr); 1497 1498 /* create a supporting struct and attach it to pc */ 1499 ierr = PetscNewLog(pc, PC_GAMG, &pc_gamg);CHKERRQ(ierr); 1500 mg = (PC_MG*)pc->data; 1501 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1502 mg->innerctx = pc_gamg; 1503 1504 pc_gamg->setup_count = 0; 1505 /* these should be in subctx but repartitioning needs simple arrays */ 1506 pc_gamg->data_sz = 0; 1507 pc_gamg->data = 0; 1508 1509 /* register AMG type */ 1510 if (!GAMGList) { 1511 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1512 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1513 } 1514 1515 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1516 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1517 pc->ops->setup = PCSetUp_GAMG; 1518 pc->ops->reset = PCReset_GAMG; 1519 pc->ops->destroy = PCDestroy_GAMG; 1520 1521 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1522 "PCGAMGSetProcEqLim_C", 1523 "PCGAMGSetProcEqLim_GAMG", 1524 PCGAMGSetProcEqLim_GAMG);CHKERRQ(ierr); 1525 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1526 "PCGAMGSetCoarseEqLim_C", 1527 "PCGAMGSetCoarseEqLim_GAMG", 1528 PCGAMGSetCoarseEqLim_GAMG);CHKERRQ(ierr); 1529 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1530 "PCGAMGSetRepartitioning_C", 1531 "PCGAMGSetRepartitioning_GAMG", 1532 PCGAMGSetRepartitioning_GAMG);CHKERRQ(ierr); 1533 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1534 "PCGAMGSetReuseProl_C", 1535 "PCGAMGSetReuseProl_GAMG", 1536 PCGAMGSetReuseProl_GAMG);CHKERRQ(ierr); 1537 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1538 "PCGAMGSetUseASMAggs_C", 1539 "PCGAMGSetUseASMAggs_GAMG", 1540 PCGAMGSetUseASMAggs_GAMG);CHKERRQ(ierr); 1541 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1542 "PCGAMGSetThreshold_C", 1543 "PCGAMGSetThreshold_GAMG", 1544 PCGAMGSetThreshold_GAMG);CHKERRQ(ierr); 1545 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1546 "PCGAMGSetType_C", 1547 "PCGAMGSetType_GAMG", 1548 PCGAMGSetType_GAMG);CHKERRQ(ierr); 1549 pc_gamg->repart = PETSC_FALSE; 1550 pc_gamg->reuse_prol = PETSC_TRUE; 1551 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1552 pc_gamg->min_eq_proc = 100; 1553 pc_gamg->coarse_eq_limit = 800; 1554 pc_gamg->threshold = 0.001; 1555 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1556 pc_gamg->verbose = 0; 1557 pc_gamg->emax_id = -1; 1558 pc_gamg->eigtarget[0] = 0.05; 1559 pc_gamg->eigtarget[1] = 1.05; 1560 1561 /* private events */ 1562 #if defined PETSC_GAMG_USE_LOG 1563 if (count++ == 0) { 1564 ierr = PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]);CHKERRQ(ierr); 1565 ierr = PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]);CHKERRQ(ierr); 1566 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1567 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1568 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1569 ierr = PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]);CHKERRQ(ierr); 1570 ierr = PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]);CHKERRQ(ierr); 1571 ierr = PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]);CHKERRQ(ierr); 1572 ierr = PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]);CHKERRQ(ierr); 1573 ierr = PetscLogEventRegister(" SA: col data", PC_CLASSID, &petsc_gamg_setup_events[SET7]);CHKERRQ(ierr); 1574 ierr = PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]);CHKERRQ(ierr); 1575 ierr = PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]);CHKERRQ(ierr); 1576 ierr = PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]);CHKERRQ(ierr); 1577 ierr = PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]);CHKERRQ(ierr); 1578 ierr = PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]);CHKERRQ(ierr); 1579 ierr = PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]);CHKERRQ(ierr); 1580 ierr = PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]);CHKERRQ(ierr); 1581 1582 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1583 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1584 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1585 /* create timer stages */ 1586 #if defined GAMG_STAGES 1587 { 1588 char str[32]; 1589 PetscInt lidx; 1590 sprintf(str,"MG Level %d (finest)",0); 1591 ierr = PetscLogStageRegister(str, &gamg_stages[0]);CHKERRQ(ierr); 1592 for (lidx=1;lidx<9;lidx++) { 1593 sprintf(str,"MG Level %d",lidx); 1594 ierr = PetscLogStageRegister(str, &gamg_stages[lidx]);CHKERRQ(ierr); 1595 } 1596 } 1597 #endif 1598 } 1599 #endif 1600 /* general events */ 1601 #if defined PETSC_USE_LOG 1602 ierr = PetscLogEventRegister("PCGAMGgraph_AGG", 0, &PC_GAMGGgraph_AGG);CHKERRQ(ierr); 1603 ierr = PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO);CHKERRQ(ierr); 1604 ierr = PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG);CHKERRQ(ierr); 1605 ierr = PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO);CHKERRQ(ierr); 1606 ierr = PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG);CHKERRQ(ierr); 1607 ierr = PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO);CHKERRQ(ierr); 1608 ierr = PetscLogEventRegister("PCGAMGPOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG);CHKERRQ(ierr); 1609 ierr = PetscLogEventRegister("GAMGKKTProl_AGG", PC_CLASSID, &PC_GAMGKKTProl_AGG);CHKERRQ(ierr); 1610 #endif 1611 1612 /* instantiate derived type */ 1613 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1614 { 1615 char tname[256] = GAMGAGG; 1616 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType",GAMGList, tname, tname, sizeof(tname), PETSC_NULL);CHKERRQ(ierr); 1617 ierr = PCGAMGSetType(pc, tname);CHKERRQ(ierr); 1618 } 1619 ierr = PetscOptionsTail();CHKERRQ(ierr); 1620 PetscFunctionReturn(0); 1621 } 1622 EXTERN_C_END 1623