1 /* 2 GAMG geometric-algebric multigrid PC - Mark Adams 2011 3 */ 4 #include "petsc-private/matimpl.h" 5 #include <../src/ksp/pc/impls/gamg/gamg.h> /*I "petscpc.h" I*/ 6 #include <petsc-private/kspimpl.h> 7 8 #if defined PETSC_GAMG_USE_LOG 9 PetscLogEvent petsc_gamg_setup_events[NUM_SET]; 10 #endif 11 12 #if defined PETSC_USE_LOG 13 PetscLogEvent PC_GAMGGgraph_AGG; 14 PetscLogEvent PC_GAMGGgraph_GEO; 15 PetscLogEvent PC_GAMGCoarsen_AGG; 16 PetscLogEvent PC_GAMGCoarsen_GEO; 17 PetscLogEvent PC_GAMGProlongator_AGG; 18 PetscLogEvent PC_GAMGProlongator_GEO; 19 PetscLogEvent PC_GAMGOptprol_AGG; 20 PetscLogEvent PC_GAMGKKTProl_AGG; 21 #endif 22 23 #define GAMG_MAXLEVELS 30 24 25 /* #define GAMG_STAGES */ 26 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 27 static PetscLogStage gamg_stages[GAMG_MAXLEVELS]; 28 #endif 29 30 static PetscFunctionList GAMGList = 0; 31 32 /* ----------------------------------------------------------------------------- */ 33 #undef __FUNCT__ 34 #define __FUNCT__ "PCReset_GAMG" 35 PetscErrorCode PCReset_GAMG(PC pc) 36 { 37 PetscErrorCode ierr; 38 PC_MG *mg = (PC_MG*)pc->data; 39 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 40 41 PetscFunctionBegin; 42 if (pc_gamg->data) { /* this should not happen, cleaned up in SetUp */ 43 PetscPrintf(((PetscObject)pc)->comm,"***[%d]%s this should not happen, cleaned up in SetUp\n",0,__FUNCT__); 44 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 45 } 46 pc_gamg->data = PETSC_NULL; pc_gamg->data_sz = 0; 47 48 if (pc_gamg->orig_data) { 49 ierr = PetscFree(pc_gamg->orig_data);CHKERRQ(ierr); 50 } 51 PetscFunctionReturn(0); 52 } 53 54 /* private 2x2 Mat Nest for Stokes */ 55 typedef struct { 56 Mat A11,A21,A12,Amat; 57 IS prim_is,constr_is; 58 } GAMGKKTMat; 59 60 #undef __FUNCT__ 61 #define __FUNCT__ "GAMGKKTMatCreate" 62 static PetscErrorCode GAMGKKTMatCreate(Mat A, PetscBool iskkt, GAMGKKTMat *out) 63 { 64 PetscFunctionBegin; 65 out->Amat = A; 66 if (iskkt) { 67 PetscErrorCode ierr; 68 IS is_constraint, is_prime; 69 PetscInt nmin,nmax; 70 71 ierr = MatGetOwnershipRange(A, &nmin, &nmax);CHKERRQ(ierr); 72 ierr = MatFindZeroDiagonals(A, &is_constraint);CHKERRQ(ierr); 73 ierr = ISComplement(is_constraint, nmin, nmax, &is_prime);CHKERRQ(ierr); 74 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 PetscFunctionReturn(0); 107 } 108 109 /* -------------------------------------------------------------------------- */ 110 /* 111 createLevel: create coarse op with RAP. repartition and/or reduce number 112 of active processors. 113 114 Input Parameter: 115 . pc - parameters + side effect: coarse data in 'pc_gamg->data' and 116 'pc_gamg->data_sz' are changed via repartitioning/reduction. 117 . Amat_fine - matrix on this fine (k) level 118 . cr_bs - coarse block size 119 . isLast - 120 . stokes - 121 In/Output Parameter: 122 . a_P_inout - prolongation operator to the next level (k-->k-1) 123 . a_nactive_proc - number of active procs 124 Output Parameter: 125 . a_Amat_crs - coarse matrix that is created (k-1) 126 */ 127 128 #undef __FUNCT__ 129 #define __FUNCT__ "createLevel" 130 static PetscErrorCode createLevel(const PC pc,const Mat Amat_fine,const PetscInt cr_bs,const PetscBool isLast,const PetscBool stokes,Mat *a_P_inout,Mat *a_Amat_crs,PetscMPIInt *a_nactive_proc) 131 { 132 PetscErrorCode ierr; 133 PC_MG *mg = (PC_MG*)pc->data; 134 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 135 const PetscBool repart = pc_gamg->repart; 136 const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; 137 Mat Cmat,Pold=*a_P_inout; 138 MPI_Comm wcomm = ((PetscObject)Amat_fine)->comm; 139 PetscMPIInt rank,size,new_size,nactive=*a_nactive_proc; 140 PetscInt ncrs_eq,ncrs_prim,f_bs; 141 142 PetscFunctionBegin; 143 ierr = MPI_Comm_rank(wcomm, &rank);CHKERRQ(ierr); 144 ierr = MPI_Comm_size(wcomm, &size);CHKERRQ(ierr); 145 ierr = MatGetBlockSize(Amat_fine, &f_bs);CHKERRQ(ierr); 146 /* RAP */ 147 ierr = MatPtAP(Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat);CHKERRQ(ierr); 148 149 /* set 'ncrs_prim' (nodes), 'ncrs_eq' (equations)*/ 150 ncrs_prim = pc_gamg->data_sz/pc_gamg->data_cell_cols/pc_gamg->data_cell_rows; 151 assert(pc_gamg->data_sz%(pc_gamg->data_cell_cols*pc_gamg->data_cell_rows)==0); 152 ierr = MatGetLocalSize(Cmat, &ncrs_eq, PETSC_NULL);CHKERRQ(ierr); 153 154 /* get number of PEs to make active 'new_size', reduce, can be any integer 1-P */ 155 { 156 PetscInt ncrs_eq_glob; 157 ierr = MatGetSize(Cmat, &ncrs_eq_glob, PETSC_NULL);CHKERRQ(ierr); 158 new_size = (PetscMPIInt)((float)ncrs_eq_glob/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ 159 if (new_size == 0 || ncrs_eq_glob < coarse_max) new_size = 1; 160 else if (new_size >= nactive) new_size = nactive; /* no change, rare */ 161 if (isLast) new_size = 1; 162 } 163 164 if (!repart && new_size==nactive) *a_Amat_crs = Cmat; /* output - no repartitioning or reduction - could bail here */ 165 else { 166 const PetscInt *idx,ndata_rows=pc_gamg->data_cell_rows,ndata_cols=pc_gamg->data_cell_cols,node_data_sz=ndata_rows*ndata_cols; 167 PetscInt *counts,*newproc_idx,ii,jj,kk,strideNew,*tidx,ncrs_prim_new,ncrs_eq_new,nloc_old; 168 IS is_eq_newproc,is_eq_newproc_prim,is_eq_num,is_eq_num_prim,isscat,new_eq_indices; 169 VecScatter vecscat; 170 PetscScalar *array; 171 Vec src_crd, dest_crd; 172 173 nloc_old = ncrs_eq/cr_bs; assert(ncrs_eq%cr_bs==0); 174 #if defined PETSC_GAMG_USE_LOG 175 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 176 #endif 177 /* make 'is_eq_newproc' */ 178 ierr = PetscMalloc(size*sizeof(PetscInt), &counts);CHKERRQ(ierr); 179 if (repart && !stokes) { 180 /* Repartition Cmat_{k} and move colums of P^{k}_{k-1} and coordinates of primal part accordingly */ 181 Mat adj; 182 183 if (pc_gamg->verbose>0) { 184 if (pc_gamg->verbose==1) PetscPrintf(wcomm,"\t[%d]%s repartition: size (active): %d --> %d, neq = %d\n",rank,__FUNCT__,*a_nactive_proc,new_size,ncrs_eq); 185 else { 186 PetscInt n; 187 ierr = MPI_Allreduce(&ncrs_eq, &n, 1, MPIU_INT, MPI_SUM, wcomm);CHKERRQ(ierr); 188 PetscPrintf(wcomm,"\t[%d]%s repartition: size (active): %d --> %d, neq = %d\n",rank,__FUNCT__,*a_nactive_proc,new_size,n); 189 } 190 } 191 192 /* get 'adj' */ 193 if (cr_bs == 1) { 194 ierr = MatConvert(Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 195 } else { 196 /* make a scalar matrix to partition (no Stokes here) */ 197 Mat tMat; 198 PetscInt Istart_crs,Iend_crs,ncols,jj,Ii; 199 const PetscScalar *vals; 200 const PetscInt *idx; 201 PetscInt *d_nnz, *o_nnz, M, N; 202 static PetscInt llev = 0; 203 204 ierr = PetscMalloc(ncrs_prim*sizeof(PetscInt), &d_nnz);CHKERRQ(ierr); 205 ierr = PetscMalloc(ncrs_prim*sizeof(PetscInt), &o_nnz);CHKERRQ(ierr); 206 ierr = MatGetOwnershipRange(Cmat, &Istart_crs, &Iend_crs);CHKERRQ(ierr); 207 ierr = MatGetSize(Cmat, &M, &N);CHKERRQ(ierr); 208 for (Ii = Istart_crs, jj = 0; Ii < Iend_crs; Ii += cr_bs, jj++) { 209 ierr = MatGetRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 210 d_nnz[jj] = ncols/cr_bs; 211 o_nnz[jj] = ncols/cr_bs; 212 ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 213 if (d_nnz[jj] > ncrs_prim) d_nnz[jj] = ncrs_prim; 214 if (o_nnz[jj] > (M/cr_bs-ncrs_prim)) o_nnz[jj] = M/cr_bs-ncrs_prim; 215 } 216 217 ierr = MatCreate(wcomm, &tMat);CHKERRQ(ierr); 218 ierr = MatSetSizes(tMat, ncrs_prim, ncrs_prim,PETSC_DETERMINE, PETSC_DETERMINE);CHKERRQ(ierr); 219 ierr = MatSetType(tMat,MATAIJ);CHKERRQ(ierr); 220 ierr = MatSeqAIJSetPreallocation(tMat,0,d_nnz);CHKERRQ(ierr); 221 ierr = MatMPIAIJSetPreallocation(tMat,0,d_nnz,0,o_nnz);CHKERRQ(ierr); 222 ierr = PetscFree(d_nnz);CHKERRQ(ierr); 223 ierr = PetscFree(o_nnz);CHKERRQ(ierr); 224 225 for (ii = Istart_crs; ii < Iend_crs; ii++) { 226 PetscInt dest_row = ii/cr_bs; 227 ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 228 for (jj = 0; jj < ncols; jj++) { 229 PetscInt dest_col = idx[jj]/cr_bs; 230 PetscScalar v = 1.0; 231 ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES);CHKERRQ(ierr); 232 } 233 ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 234 } 235 ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 236 ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 237 238 if (llev++ == -1) { 239 PetscViewer viewer; char fname[32]; 240 ierr = PetscSNPrintf(fname,sizeof(fname),"part_mat_%D.mat",llev);CHKERRQ(ierr); 241 PetscViewerBinaryOpen(wcomm,fname,FILE_MODE_WRITE,&viewer); 242 ierr = MatView(tMat, viewer);CHKERRQ(ierr); 243 ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); 244 } 245 246 ierr = MatConvert(tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 247 248 ierr = MatDestroy(&tMat);CHKERRQ(ierr); 249 } /* create 'adj' */ 250 251 { /* partition: get newproc_idx */ 252 char prefix[256]; 253 const char *pcpre; 254 const PetscInt *is_idx; 255 MatPartitioning mpart; 256 IS proc_is; 257 PetscInt targetPE; 258 259 ierr = MatPartitioningCreate(wcomm, &mpart);CHKERRQ(ierr); 260 ierr = MatPartitioningSetAdjacency(mpart, adj);CHKERRQ(ierr); 261 ierr = PCGetOptionsPrefix(pc, &pcpre);CHKERRQ(ierr); 262 ierr = PetscSNPrintf(prefix,sizeof(prefix),"%spc_gamg_",pcpre ? pcpre : "");CHKERRQ(ierr); 263 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 264 ierr = MatPartitioningSetFromOptions(mpart);CHKERRQ(ierr); 265 ierr = MatPartitioningSetNParts(mpart, new_size);CHKERRQ(ierr); 266 ierr = MatPartitioningApply(mpart, &proc_is);CHKERRQ(ierr); 267 ierr = MatPartitioningDestroy(&mpart);CHKERRQ(ierr); 268 269 /* collect IS info */ 270 ierr = PetscMalloc(ncrs_eq*sizeof(PetscInt), &newproc_idx);CHKERRQ(ierr); 271 ierr = ISGetIndices(proc_is, &is_idx);CHKERRQ(ierr); 272 targetPE = 1; /* bring to "front" of machine */ 273 /*targetPE = size/new_size;*/ /* spread partitioning across machine */ 274 for (kk = jj = 0 ; kk < nloc_old ; kk++) { 275 for (ii = 0 ; ii < cr_bs ; ii++, jj++) { 276 newproc_idx[jj] = is_idx[kk] * targetPE; /* distribution */ 277 } 278 } 279 ierr = ISRestoreIndices(proc_is, &is_idx);CHKERRQ(ierr); 280 ierr = ISDestroy(&proc_is);CHKERRQ(ierr); 281 } 282 ierr = MatDestroy(&adj);CHKERRQ(ierr); 283 284 ierr = ISCreateGeneral(wcomm, ncrs_eq, newproc_idx, PETSC_COPY_VALUES, &is_eq_newproc);CHKERRQ(ierr); 285 if (newproc_idx != 0) { 286 ierr = PetscFree(newproc_idx);CHKERRQ(ierr); 287 } 288 } else { /* simple aggreagtion of parts -- 'is_eq_newproc' */ 289 290 PetscInt rfactor,targetPE; 291 /* find factor */ 292 if (new_size == 1) rfactor = size; /* easy */ 293 else { 294 PetscReal best_fact = 0.; 295 jj = -1; 296 for (kk = 1 ; kk <= size ; kk++) { 297 if (size%kk==0) { /* a candidate */ 298 PetscReal nactpe = (PetscReal)size/(PetscReal)kk, fact = nactpe/(PetscReal)new_size; 299 if (fact > 1.0) fact = 1./fact; /* keep fact < 1 */ 300 if (fact > best_fact) { 301 best_fact = fact; jj = kk; 302 } 303 } 304 } 305 if (jj != -1) rfactor = jj; 306 else rfactor = 1; /* does this happen .. a prime */ 307 } 308 new_size = size/rfactor; 309 310 if (new_size==nactive) { 311 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction, bail out because nested here */ 312 ierr = PetscFree(counts);CHKERRQ(ierr); 313 if (pc_gamg->verbose>0) { 314 PetscPrintf(wcomm,"\t[%d]%s aggregate processors noop: new_size=%d, neq(loc)=%d\n",rank,__FUNCT__,new_size,ncrs_eq); 315 } 316 PetscFunctionReturn(0); 317 } 318 319 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s number of equations (loc) %d with simple aggregation\n",rank,__FUNCT__,ncrs_eq); 320 targetPE = rank/rfactor; 321 ierr = ISCreateStride(wcomm, ncrs_eq, targetPE, 0, &is_eq_newproc);CHKERRQ(ierr); 322 323 if (stokes) { 324 ierr = ISCreateStride(wcomm, ncrs_prim*cr_bs, targetPE, 0, &is_eq_newproc_prim);CHKERRQ(ierr); 325 } 326 } /* end simple 'is_eq_newproc' */ 327 328 /* 329 Create an index set from the is_eq_newproc index set to indicate the mapping TO 330 */ 331 ierr = ISPartitioningToNumbering(is_eq_newproc, &is_eq_num);CHKERRQ(ierr); 332 if (stokes) { 333 ierr = ISPartitioningToNumbering(is_eq_newproc_prim, &is_eq_num_prim);CHKERRQ(ierr); 334 } else is_eq_num_prim = is_eq_num; 335 /* 336 Determine how many equations/vertices are assigned to each processor 337 */ 338 ierr = ISPartitioningCount(is_eq_newproc, size, counts);CHKERRQ(ierr); 339 ncrs_eq_new = counts[rank]; 340 ierr = ISDestroy(&is_eq_newproc);CHKERRQ(ierr); 341 if (stokes) { 342 ierr = ISPartitioningCount(is_eq_newproc_prim, size, counts);CHKERRQ(ierr); 343 ierr = ISDestroy(&is_eq_newproc_prim);CHKERRQ(ierr); 344 ncrs_prim_new = counts[rank]/cr_bs; /* nodes */ 345 } else ncrs_prim_new = ncrs_eq_new/cr_bs; /* eqs */ 346 347 ierr = PetscFree(counts);CHKERRQ(ierr); 348 #if defined PETSC_GAMG_USE_LOG 349 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 350 #endif 351 352 /* move data (for primal equations only) */ 353 /* Create a vector to contain the newly ordered element information */ 354 ierr = VecCreate(wcomm, &dest_crd);CHKERRQ(ierr); 355 ierr = VecSetSizes(dest_crd, node_data_sz*ncrs_prim_new, PETSC_DECIDE);CHKERRQ(ierr); 356 ierr = VecSetFromOptions(dest_crd);CHKERRQ(ierr); /* this is needed! */ 357 /* 358 There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having 359 a block size of ...). Note, ISs are expanded into equation space by 'cr_bs'. 360 */ 361 ierr = PetscMalloc((ncrs_prim*node_data_sz)*sizeof(PetscInt), &tidx);CHKERRQ(ierr); 362 ierr = ISGetIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 363 for (ii=0,jj=0; ii<ncrs_prim; ii++) { 364 PetscInt id = idx[ii*cr_bs]/cr_bs; /* get node back */ 365 for (kk=0; kk<node_data_sz; kk++, jj++) tidx[jj] = id*node_data_sz + kk; 366 } 367 ierr = ISRestoreIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 368 ierr = ISCreateGeneral(wcomm, node_data_sz*ncrs_prim, tidx, PETSC_COPY_VALUES, &isscat);CHKERRQ(ierr); 369 ierr = PetscFree(tidx);CHKERRQ(ierr); 370 /* 371 Create a vector to contain the original vertex information for each element 372 */ 373 ierr = VecCreateSeq(PETSC_COMM_SELF, node_data_sz*ncrs_prim, &src_crd);CHKERRQ(ierr); 374 for (jj=0; jj<ndata_cols; jj++) { 375 const PetscInt stride0=ncrs_prim*pc_gamg->data_cell_rows; 376 for (ii=0; ii<ncrs_prim; ii++) { 377 for (kk=0; kk<ndata_rows; kk++) { 378 PetscInt ix = ii*ndata_rows + kk + jj*stride0, jx = ii*node_data_sz + kk*ndata_cols + jj; 379 PetscScalar tt = (PetscScalar)pc_gamg->data[ix]; 380 ierr = VecSetValues(src_crd, 1, &jx, &tt, INSERT_VALUES);CHKERRQ(ierr); 381 } 382 } 383 } 384 ierr = VecAssemblyBegin(src_crd);CHKERRQ(ierr); 385 ierr = VecAssemblyEnd(src_crd);CHKERRQ(ierr); 386 /* 387 Scatter the element vertex information (still in the original vertex ordering) 388 to the correct processor 389 */ 390 ierr = VecScatterCreate(src_crd, PETSC_NULL, dest_crd, isscat, &vecscat);CHKERRQ(ierr); 391 ierr = ISDestroy(&isscat);CHKERRQ(ierr); 392 ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 393 ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 394 ierr = VecScatterDestroy(&vecscat);CHKERRQ(ierr); 395 ierr = VecDestroy(&src_crd);CHKERRQ(ierr); 396 /* 397 Put the element vertex data into a new allocation of the gdata->ele 398 */ 399 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 400 ierr = PetscMalloc(node_data_sz*ncrs_prim_new*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 401 402 pc_gamg->data_sz = node_data_sz*ncrs_prim_new; 403 strideNew = ncrs_prim_new*ndata_rows; 404 405 ierr = VecGetArray(dest_crd, &array);CHKERRQ(ierr); 406 for (jj=0; jj<ndata_cols; jj++) { 407 for (ii=0; ii<ncrs_prim_new; ii++) { 408 for (kk=0; kk<ndata_rows; kk++) { 409 PetscInt ix = ii*ndata_rows + kk + jj*strideNew, jx = ii*node_data_sz + kk*ndata_cols + jj; 410 pc_gamg->data[ix] = PetscRealPart(array[jx]); 411 } 412 } 413 } 414 ierr = VecRestoreArray(dest_crd, &array);CHKERRQ(ierr); 415 ierr = VecDestroy(&dest_crd);CHKERRQ(ierr); 416 417 /* move A and P (columns) with new layout */ 418 #if defined PETSC_GAMG_USE_LOG 419 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 420 #endif 421 422 /* 423 Invert for MatGetSubMatrix 424 */ 425 ierr = ISInvertPermutation(is_eq_num, ncrs_eq_new, &new_eq_indices);CHKERRQ(ierr); 426 ierr = ISSort(new_eq_indices);CHKERRQ(ierr); /* is this needed? */ 427 ierr = ISSetBlockSize(new_eq_indices, cr_bs);CHKERRQ(ierr); 428 if (is_eq_num != is_eq_num_prim) { 429 ierr = ISDestroy(&is_eq_num_prim);CHKERRQ(ierr); /* could be same as 'is_eq_num' */ 430 } 431 ierr = ISDestroy(&is_eq_num);CHKERRQ(ierr); 432 #if defined PETSC_GAMG_USE_LOG 433 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 434 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 435 #endif 436 /* 'a_Amat_crs' output */ 437 { 438 Mat mat; 439 ierr = MatGetSubMatrix(Cmat, new_eq_indices, new_eq_indices, MAT_INITIAL_MATRIX, &mat);CHKERRQ(ierr); 440 *a_Amat_crs = mat; 441 442 if (!PETSC_TRUE) { 443 PetscInt cbs, rbs; 444 ierr = MatGetBlockSizes(Cmat, &rbs, &cbs);CHKERRQ(ierr); 445 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Old Mat rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 446 ierr = MatGetBlockSizes(mat, &rbs, &cbs);CHKERRQ(ierr); 447 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s New Mat rbs=%d cbs=%d cr_bs=%d\n",rank,__FUNCT__,rbs,cbs,cr_bs);CHKERRQ(ierr); 448 } 449 } 450 ierr = MatDestroy(&Cmat);CHKERRQ(ierr); 451 452 #if defined PETSC_GAMG_USE_LOG 453 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 454 #endif 455 /* prolongator */ 456 { 457 IS findices; 458 PetscInt Istart,Iend; 459 Mat Pnew; 460 ierr = MatGetOwnershipRange(Pold, &Istart, &Iend);CHKERRQ(ierr); 461 #if defined PETSC_GAMG_USE_LOG 462 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 463 #endif 464 ierr = ISCreateStride(wcomm,Iend-Istart,Istart,1,&findices);CHKERRQ(ierr); 465 ierr = ISSetBlockSize(findices,f_bs);CHKERRQ(ierr); 466 ierr = MatGetSubMatrix(Pold, findices, new_eq_indices, MAT_INITIAL_MATRIX, &Pnew);CHKERRQ(ierr); 467 ierr = ISDestroy(&findices);CHKERRQ(ierr); 468 469 if (!PETSC_TRUE) { 470 PetscInt cbs, rbs; 471 ierr = MatGetBlockSizes(Pold, &rbs, &cbs);CHKERRQ(ierr); 472 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pold rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 473 ierr = MatGetBlockSizes(Pnew, &rbs, &cbs);CHKERRQ(ierr); 474 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pnew rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 475 } 476 #if defined PETSC_GAMG_USE_LOG 477 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 478 #endif 479 ierr = MatDestroy(a_P_inout);CHKERRQ(ierr); 480 481 /* output - repartitioned */ 482 *a_P_inout = Pnew; 483 } 484 ierr = ISDestroy(&new_eq_indices);CHKERRQ(ierr); 485 486 *a_nactive_proc = new_size; /* output */ 487 } 488 489 /* outout matrix data */ 490 if (!PETSC_TRUE) { 491 PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; 492 if (llev==0) { 493 sprintf(fname,"Cmat_%d.m",llev++); 494 PetscViewerASCIIOpen(wcomm,fname,&viewer); 495 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 496 ierr = MatView(Amat_fine, viewer);CHKERRQ(ierr); 497 ierr = PetscViewerDestroy(&viewer); 498 } 499 sprintf(fname,"Cmat_%d.m",llev++); 500 PetscViewerASCIIOpen(wcomm,fname,&viewer); 501 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 502 ierr = MatView(Cmat, viewer);CHKERRQ(ierr); 503 ierr = PetscViewerDestroy(&viewer); 504 } 505 PetscFunctionReturn(0); 506 } 507 508 /* -------------------------------------------------------------------------- */ 509 /* 510 PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner 511 by setting data structures and options. 512 513 Input Parameter: 514 . pc - the preconditioner context 515 516 Application Interface Routine: PCSetUp() 517 518 Notes: 519 The interface routine PCSetUp() is not usually called directly by 520 the user, but instead is called by PCApply() if necessary. 521 */ 522 #undef __FUNCT__ 523 #define __FUNCT__ "PCSetUp_GAMG" 524 PetscErrorCode PCSetUp_GAMG(PC pc) 525 { 526 PetscErrorCode ierr; 527 PC_MG *mg = (PC_MG*)pc->data; 528 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 529 Mat Pmat = pc->pmat; 530 PetscInt fine_level,level,level1,bs,M,qq,lidx,nASMBlocksArr[GAMG_MAXLEVELS]; 531 MPI_Comm wcomm = ((PetscObject)pc)->comm; 532 PetscMPIInt rank,size,nactivepe; 533 Mat Aarr[GAMG_MAXLEVELS],Parr[GAMG_MAXLEVELS]; 534 PetscReal emaxs[GAMG_MAXLEVELS]; 535 IS *ASMLocalIDsArr[GAMG_MAXLEVELS]; 536 GAMGKKTMat kktMatsArr[GAMG_MAXLEVELS]; 537 PetscLogDouble nnz0=0.,nnztot=0.; 538 MatInfo info; 539 PetscBool stokes = PETSC_FALSE, redo_mesh_setup = (PetscBool)(!pc_gamg->reuse_prol); 540 541 PetscFunctionBegin; 542 ierr = MPI_Comm_rank(wcomm,&rank);CHKERRQ(ierr); 543 ierr = MPI_Comm_size(wcomm,&size);CHKERRQ(ierr); 544 545 if (pc_gamg->verbose>2) PetscPrintf(wcomm,"[%d]%s pc_gamg->setup_count=%d pc->setupcalled=%d\n",rank,__FUNCT__,pc_gamg->setup_count,pc->setupcalled); 546 547 if (pc_gamg->setup_count++ > 0) { 548 if (redo_mesh_setup) { 549 /* reset everything */ 550 ierr = PCReset_MG(pc);CHKERRQ(ierr); 551 pc->setupcalled = 0; 552 } else { 553 PC_MG_Levels **mglevels = mg->levels; 554 /* just do Galerkin grids */ 555 Mat B,dA,dB; 556 assert(pc->setupcalled); 557 558 if (pc_gamg->Nlevels > 1) { 559 /* currently only handle case where mat and pmat are the same on coarser levels */ 560 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); 561 /* (re)set to get dirty flag */ 562 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 563 564 for (level=pc_gamg->Nlevels-2; level>-1; level--) { 565 /* the first time through the matrix structure has changed from repartitioning */ 566 if (pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { 567 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 568 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 569 570 mglevels[level]->A = B; 571 } else { 572 ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); 573 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 574 } 575 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 576 dB = B; 577 } 578 } 579 580 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 581 582 /* PCSetUp_MG seems to insists on setting this to GMRES */ 583 ierr = KSPSetType(mglevels[0]->smoothd, KSPPREONLY);CHKERRQ(ierr); 584 PetscFunctionReturn(0); 585 } 586 } 587 588 ierr = PetscOptionsGetBool(((PetscObject)pc)->prefix,"-pc_fieldsplit_detect_saddle_point",&stokes,PETSC_NULL);CHKERRQ(ierr); 589 590 ierr = GAMGKKTMatCreate(Pmat, stokes, &kktMatsArr[0]);CHKERRQ(ierr); 591 592 if (!pc_gamg->data) { 593 if (pc_gamg->orig_data) { 594 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 595 ierr = MatGetLocalSize(Pmat, &qq, PETSC_NULL);CHKERRQ(ierr); 596 597 pc_gamg->data_sz = (qq/bs)*pc_gamg->orig_data_cell_rows*pc_gamg->orig_data_cell_cols; 598 pc_gamg->data_cell_rows = pc_gamg->orig_data_cell_rows; 599 pc_gamg->data_cell_cols = pc_gamg->orig_data_cell_cols; 600 601 ierr = PetscMalloc(pc_gamg->data_sz*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 602 for (qq=0; qq<pc_gamg->data_sz; qq++) pc_gamg->data[qq] = pc_gamg->orig_data[qq]; 603 } else { 604 if (!pc_gamg->createdefaultdata) SETERRQ(wcomm,PETSC_ERR_PLIB,"'createdefaultdata' not set(?) need to support NULL data"); 605 if (stokes) SETERRQ(wcomm,PETSC_ERR_PLIB,"Need data (eg, PCSetCoordinates) for Stokes problems"); 606 ierr = pc_gamg->createdefaultdata(pc, kktMatsArr[0].A11);CHKERRQ(ierr); 607 } 608 } 609 610 /* cache original data for reuse */ 611 if (!pc_gamg->orig_data && redo_mesh_setup) { 612 ierr = PetscMalloc(pc_gamg->data_sz*sizeof(PetscReal), &pc_gamg->orig_data);CHKERRQ(ierr); 613 for (qq=0; qq<pc_gamg->data_sz; qq++) pc_gamg->orig_data[qq] = pc_gamg->data[qq]; 614 pc_gamg->orig_data_cell_rows = pc_gamg->data_cell_rows; 615 pc_gamg->orig_data_cell_cols = pc_gamg->data_cell_cols; 616 } 617 618 /* get basic dims */ 619 if (stokes) bs = pc_gamg->data_cell_rows; /* this is agg-mg specific */ 620 else { 621 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 622 } 623 624 ierr = MatGetSize(Pmat, &M, &qq);CHKERRQ(ierr); 625 if (pc_gamg->verbose) { 626 PetscInt NN = M; 627 if (pc_gamg->verbose==1) { 628 ierr = MatGetInfo(Pmat,MAT_LOCAL,&info);CHKERRQ(ierr); 629 ierr = MatGetLocalSize(Pmat, &NN, &qq);CHKERRQ(ierr); 630 } else { 631 ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info);CHKERRQ(ierr); 632 } 633 nnz0 = info.nz_used; 634 nnztot = info.nz_used; 635 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", 636 rank,__FUNCT__,0,M,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 637 (int)(nnz0/(PetscReal)NN),size);CHKERRQ(ierr); 638 } 639 640 /* Get A_i and R_i */ 641 for (level=0, Aarr[0]=Pmat, nactivepe = size; /* hard wired stopping logic */ 642 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (size==1 || nactivepe>1); */ 643 level++) { 644 level1 = level + 1; 645 #if defined PETSC_GAMG_USE_LOG 646 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 647 #if (defined GAMG_STAGES) 648 ierr = PetscLogStagePush(gamg_stages[level]);CHKERRQ(ierr); 649 #endif 650 #endif 651 /* deal with Stokes, get sub matrices */ 652 if (level > 0) { 653 ierr = GAMGKKTMatCreate(Aarr[level], stokes, &kktMatsArr[level]);CHKERRQ(ierr); 654 } 655 { /* construct prolongator */ 656 Mat Gmat; 657 PetscCoarsenData *agg_lists; 658 Mat Prol11,Prol22; 659 660 ierr = pc_gamg->graph(pc,kktMatsArr[level].A11, &Gmat);CHKERRQ(ierr); 661 ierr = pc_gamg->coarsen(pc, &Gmat, &agg_lists);CHKERRQ(ierr); 662 ierr = pc_gamg->prolongator(pc, kktMatsArr[level].A11, Gmat, agg_lists, &Prol11);CHKERRQ(ierr); 663 664 /* could have failed to create new level */ 665 if (Prol11) { 666 /* get new block size of coarse matrices */ 667 ierr = MatGetBlockSizes(Prol11, PETSC_NULL, &bs);CHKERRQ(ierr); 668 669 if (stokes) { 670 if (!pc_gamg->formkktprol) SETERRQ(wcomm,PETSC_ERR_USER,"Stokes not supportd by AMG method."); 671 /* R A12 == (T = A21 P)'; G = T' T; coarsen G; form plain agg with G */ 672 ierr = pc_gamg->formkktprol(pc, Prol11, kktMatsArr[level].A21, &Prol22);CHKERRQ(ierr); 673 } 674 675 if (pc_gamg->optprol) { 676 /* smooth */ 677 ierr = pc_gamg->optprol(pc, kktMatsArr[level].A11, &Prol11);CHKERRQ(ierr); 678 } 679 680 if (stokes) { 681 IS is_row[2]; 682 Mat a[4]; 683 684 is_row[0] = kktMatsArr[level].prim_is; is_row[1] = kktMatsArr[level].constr_is; 685 a[0] = Prol11; a[1] = PETSC_NULL; a[2] = PETSC_NULL; a[3] = Prol22; 686 ierr = MatCreateNest(wcomm,2,is_row, 2, is_row, a, &Parr[level1]);CHKERRQ(ierr); 687 } else Parr[level1] = Prol11; 688 } else Parr[level1] = PETSC_NULL; 689 690 if (pc_gamg->use_aggs_in_gasm) { 691 ierr = PetscCDGetASMBlocks(agg_lists, bs, &nASMBlocksArr[level], &ASMLocalIDsArr[level]);CHKERRQ(ierr); 692 } 693 694 ierr = MatDestroy(&Gmat);CHKERRQ(ierr); 695 ierr = PetscCDDestroy(agg_lists);CHKERRQ(ierr); 696 } /* construct prolongator scope */ 697 #if defined PETSC_GAMG_USE_LOG 698 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 699 #endif 700 /* cache eigen estimate */ 701 if (pc_gamg->emax_id != -1) { 702 PetscBool flag; 703 ierr = PetscObjectComposedDataGetReal((PetscObject)kktMatsArr[level].A11, pc_gamg->emax_id, emaxs[level], flag);CHKERRQ(ierr); 704 if (!flag) emaxs[level] = -1.; 705 } else emaxs[level] = -1.; 706 if (level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 707 if (!Parr[level1]) { 708 if (pc_gamg->verbose) { 709 ierr = PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",rank,__FUNCT__,level);CHKERRQ(ierr); 710 } 711 break; 712 } 713 #if defined PETSC_GAMG_USE_LOG 714 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 715 #endif 716 717 ierr = createLevel(pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), 718 stokes, &Parr[level1], &Aarr[level1], &nactivepe);CHKERRQ(ierr); 719 720 #if defined PETSC_GAMG_USE_LOG 721 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 722 #endif 723 ierr = MatGetSize(Aarr[level1], &M, &qq);CHKERRQ(ierr); 724 725 if (pc_gamg->verbose > 0) { 726 PetscInt NN = M; 727 if (pc_gamg->verbose==1) { 728 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info);CHKERRQ(ierr); 729 ierr = MatGetLocalSize(Aarr[level1], &NN, &qq);CHKERRQ(ierr); 730 } else { 731 ierr = MatGetInfo(Aarr[level1], MAT_GLOBAL_SUM, &info);CHKERRQ(ierr); 732 } 733 734 nnztot += info.nz_used; 735 ierr = PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 736 rank,__FUNCT__,(int)level1,M,pc_gamg->data_cell_cols, 737 (int)(info.nz_used/(PetscReal)NN), nactivepe);CHKERRQ(ierr); 738 } 739 740 /* stop if one node -- could pull back for singular problems */ 741 if (M/pc_gamg->data_cell_cols < 2) { 742 level++; 743 break; 744 } 745 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 746 ierr = PetscLogStagePop();CHKERRQ(ierr); 747 #endif 748 } /* levels */ 749 750 if (pc_gamg->data) { 751 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 752 pc_gamg->data = PETSC_NULL; 753 } 754 755 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 756 pc_gamg->Nlevels = level + 1; 757 fine_level = level; 758 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 759 760 /* simple setup */ 761 if (!PETSC_TRUE) { 762 PC_MG_Levels **mglevels = mg->levels; 763 for (lidx=0,level=pc_gamg->Nlevels-1; 764 lidx<fine_level; 765 lidx++, level--) { 766 ierr = PCMGSetInterpolation(pc, lidx+1, Parr[level]);CHKERRQ(ierr); 767 ierr = KSPSetOperators(mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 768 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 769 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 770 } 771 ierr = KSPSetOperators(mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 772 773 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 774 } else if (pc_gamg->Nlevels > 1) { /* don't setup MG if one level */ 775 /* set default smoothers & set operators */ 776 for (lidx = 1, level = pc_gamg->Nlevels-2; 777 lidx <= fine_level; 778 lidx++, level--) { 779 KSP smoother; 780 PC subpc; 781 782 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 783 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 784 785 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 786 /* set ops */ 787 ierr = KSPSetOperators(smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 788 ierr = PCMGSetInterpolation(pc, lidx, Parr[level+1]);CHKERRQ(ierr); 789 790 /* create field split PC, get subsmoother */ 791 if (stokes) { 792 KSP *ksps; 793 PetscInt nn; 794 ierr = PCFieldSplitSetIS(subpc,"0",kktMatsArr[level].prim_is);CHKERRQ(ierr); 795 ierr = PCFieldSplitSetIS(subpc,"1",kktMatsArr[level].constr_is);CHKERRQ(ierr); 796 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 797 smoother = ksps[0]; 798 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 799 ierr = PetscFree(ksps);CHKERRQ(ierr); 800 } 801 ierr = GAMGKKTMatDestroy(&kktMatsArr[level]);CHKERRQ(ierr); 802 803 /* set defaults */ 804 ierr = KSPSetType(smoother, KSPCHEBYSHEV);CHKERRQ(ierr); 805 806 /* override defaults and command line args (!) */ 807 if (pc_gamg->use_aggs_in_gasm) { 808 PetscInt sz; 809 IS *is; 810 811 sz = nASMBlocksArr[level]; 812 is = ASMLocalIDsArr[level]; 813 ierr = PCSetType(subpc, PCGASM);CHKERRQ(ierr); 814 if (sz==0) { 815 IS is; 816 PetscInt my0,kk; 817 ierr = MatGetOwnershipRange(Aarr[level], &my0, &kk);CHKERRQ(ierr); 818 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is);CHKERRQ(ierr); 819 ierr = PCGASMSetSubdomains(subpc, 1, &is, PETSC_NULL);CHKERRQ(ierr); 820 ierr = ISDestroy(&is);CHKERRQ(ierr); 821 } else { 822 PetscInt kk; 823 ierr = PCGASMSetSubdomains(subpc, sz, is, PETSC_NULL);CHKERRQ(ierr); 824 for (kk=0; kk<sz; kk++) { 825 ierr = ISDestroy(&is[kk]);CHKERRQ(ierr); 826 } 827 ierr = PetscFree(is);CHKERRQ(ierr); 828 } 829 ierr = PCGASMSetOverlap(subpc, 0);CHKERRQ(ierr); 830 831 ASMLocalIDsArr[level] = PETSC_NULL; 832 nASMBlocksArr[level] = 0; 833 ierr = PCGASMSetType(subpc, PC_GASM_BASIC);CHKERRQ(ierr); 834 } else { 835 ierr = PCSetType(subpc, PCJACOBI);CHKERRQ(ierr); 836 } 837 } 838 { 839 /* coarse grid */ 840 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 841 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 842 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 843 ierr = KSPSetOperators(smoother, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 844 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 845 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 846 ierr = PCSetType(subpc, PCBJACOBI);CHKERRQ(ierr); 847 ierr = PCSetUp(subpc);CHKERRQ(ierr); 848 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); 849 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 850 ierr = PCSetType(pc2, PCLU);CHKERRQ(ierr); 851 ierr = PCFactorSetShiftType(pc2,MAT_SHIFT_INBLOCKS);CHKERRQ(ierr); 852 } 853 854 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 855 ierr = PetscObjectOptionsBegin((PetscObject)pc);CHKERRQ(ierr); 856 ierr = PCSetFromOptions_MG(pc);CHKERRQ(ierr); 857 ierr = PetscOptionsEnd();CHKERRQ(ierr); 858 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 859 860 /* create cheby smoothers */ 861 for (lidx = 1, level = pc_gamg->Nlevels-2; 862 lidx <= fine_level; 863 lidx++, level--) { 864 KSP smoother; 865 PetscBool flag; 866 PC subpc; 867 868 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 869 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 870 871 /* create field split PC, get subsmoother */ 872 if (stokes) { 873 KSP *ksps; 874 PetscInt nn; 875 ierr = PCFieldSplitGetSubKSP(subpc,&nn,&ksps);CHKERRQ(ierr); 876 smoother = ksps[0]; 877 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 878 ierr = PetscFree(ksps);CHKERRQ(ierr); 879 } 880 881 /* do my own cheby */ 882 ierr = PetscObjectTypeCompare((PetscObject)smoother, KSPCHEBYSHEV, &flag);CHKERRQ(ierr); 883 if (flag) { 884 PetscReal emax, emin; 885 ierr = PetscObjectTypeCompare((PetscObject)subpc, PCJACOBI, &flag);CHKERRQ(ierr); 886 if (flag && emaxs[level] > 0.0) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 887 else { /* eigen estimate 'emax' */ 888 KSP eksp; 889 Mat Lmat = Aarr[level]; 890 Vec bb, xx; 891 892 ierr = MatGetVecs(Lmat, &bb, 0);CHKERRQ(ierr); 893 ierr = MatGetVecs(Lmat, &xx, 0);CHKERRQ(ierr); 894 { 895 PetscRandom rctx; 896 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 897 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 898 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 899 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 900 } 901 902 /* zeroing out BC rows -- needed for crazy matrices */ 903 { 904 PetscInt Istart,Iend,ncols,jj,Ii; 905 PetscScalar zero = 0.0; 906 ierr = MatGetOwnershipRange(Lmat, &Istart, &Iend);CHKERRQ(ierr); 907 for (Ii = Istart, jj = 0; Ii < Iend; Ii++, jj++) { 908 ierr = MatGetRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 909 if (ncols <= 1) { 910 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 911 } 912 ierr = MatRestoreRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 913 } 914 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 915 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 916 } 917 918 ierr = KSPCreate(wcomm, &eksp);CHKERRQ(ierr); 919 ierr = KSPSetTolerances(eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10);CHKERRQ(ierr); 920 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 921 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 922 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 923 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 924 925 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 926 ierr = KSPSetOperators(eksp, Lmat, Lmat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 927 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 928 929 /* set PC type to be same as smoother */ 930 ierr = KSPSetPC(eksp, subpc);CHKERRQ(ierr); 931 932 /* solve - keep stuff out of logging */ 933 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 934 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 935 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 936 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 937 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 938 939 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 940 941 ierr = VecDestroy(&xx);CHKERRQ(ierr); 942 ierr = VecDestroy(&bb);CHKERRQ(ierr); 943 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 944 945 if (pc_gamg->verbose > 0) { 946 PetscInt N1, tt; 947 ierr = MatGetSize(Aarr[level], &N1, &tt);CHKERRQ(ierr); 948 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 949 } 950 } 951 { 952 PetscInt N1, N0; 953 ierr = MatGetSize(Aarr[level], &N1, PETSC_NULL);CHKERRQ(ierr); 954 ierr = MatGetSize(Aarr[level+1], &N0, PETSC_NULL);CHKERRQ(ierr); 955 /* heuristic - is this crap? */ 956 /* emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); */ 957 emin = emax * pc_gamg->eigtarget[0]; 958 emax *= pc_gamg->eigtarget[1]; 959 } 960 ierr = KSPChebyshevSetEigenvalues(smoother, emax, emin);CHKERRQ(ierr); 961 } /* setup checby flag */ 962 } /* non-coarse levels */ 963 964 /* clean up */ 965 for (level=1; level<pc_gamg->Nlevels; level++) { 966 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 967 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 968 } 969 970 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 971 972 if (PETSC_TRUE) { 973 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 974 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 975 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 976 } 977 } else { 978 KSP smoother; 979 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",rank,__FUNCT__); 980 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 981 ierr = KSPSetOperators(smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN);CHKERRQ(ierr); 982 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 983 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 984 } 985 PetscFunctionReturn(0); 986 } 987 988 /* ------------------------------------------------------------------------- */ 989 /* 990 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 991 that was created with PCCreate_GAMG(). 992 993 Input Parameter: 994 . pc - the preconditioner context 995 996 Application Interface Routine: PCDestroy() 997 */ 998 #undef __FUNCT__ 999 #define __FUNCT__ "PCDestroy_GAMG" 1000 PetscErrorCode PCDestroy_GAMG(PC pc) 1001 { 1002 PetscErrorCode ierr; 1003 PC_MG *mg = (PC_MG*)pc->data; 1004 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 1005 1006 PetscFunctionBegin; 1007 ierr = PCReset_GAMG(pc);CHKERRQ(ierr); 1008 ierr = PetscFree(pc_gamg);CHKERRQ(ierr); 1009 ierr = PCDestroy_MG(pc);CHKERRQ(ierr); 1010 PetscFunctionReturn(0); 1011 } 1012 1013 1014 #undef __FUNCT__ 1015 #define __FUNCT__ "PCGAMGSetProcEqLim" 1016 /*@ 1017 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 1018 processor reduction. 1019 1020 Not Collective on PC 1021 1022 Input Parameters: 1023 . pc - the preconditioner context 1024 1025 1026 Options Database Key: 1027 . -pc_gamg_process_eq_limit 1028 1029 Level: intermediate 1030 1031 Concepts: Unstructured multrigrid preconditioner 1032 1033 .seealso: () 1034 @*/ 1035 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 1036 { 1037 PetscErrorCode ierr; 1038 1039 PetscFunctionBegin; 1040 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1041 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1042 PetscFunctionReturn(0); 1043 } 1044 1045 EXTERN_C_BEGIN 1046 #undef __FUNCT__ 1047 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 1048 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 1049 { 1050 PC_MG *mg = (PC_MG*)pc->data; 1051 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1052 1053 PetscFunctionBegin; 1054 if (n>0) pc_gamg->min_eq_proc = n; 1055 PetscFunctionReturn(0); 1056 } 1057 EXTERN_C_END 1058 1059 #undef __FUNCT__ 1060 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 1061 /*@ 1062 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 1063 1064 Collective on PC 1065 1066 Input Parameters: 1067 . pc - the preconditioner context 1068 1069 1070 Options Database Key: 1071 . -pc_gamg_coarse_eq_limit 1072 1073 Level: intermediate 1074 1075 Concepts: Unstructured multrigrid preconditioner 1076 1077 .seealso: () 1078 @*/ 1079 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 1080 { 1081 PetscErrorCode ierr; 1082 1083 PetscFunctionBegin; 1084 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1085 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1086 PetscFunctionReturn(0); 1087 } 1088 1089 EXTERN_C_BEGIN 1090 #undef __FUNCT__ 1091 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 1092 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 1093 { 1094 PC_MG *mg = (PC_MG*)pc->data; 1095 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1096 1097 PetscFunctionBegin; 1098 if (n>0) pc_gamg->coarse_eq_limit = n; 1099 PetscFunctionReturn(0); 1100 } 1101 EXTERN_C_END 1102 1103 #undef __FUNCT__ 1104 #define __FUNCT__ "PCGAMGSetRepartitioning" 1105 /*@ 1106 PCGAMGSetRepartitioning - Repartition the coarse grids 1107 1108 Collective on PC 1109 1110 Input Parameters: 1111 . pc - the preconditioner context 1112 1113 1114 Options Database Key: 1115 . -pc_gamg_repartition 1116 1117 Level: intermediate 1118 1119 Concepts: Unstructured multrigrid preconditioner 1120 1121 .seealso: () 1122 @*/ 1123 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 1124 { 1125 PetscErrorCode ierr; 1126 1127 PetscFunctionBegin; 1128 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1129 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1130 PetscFunctionReturn(0); 1131 } 1132 1133 EXTERN_C_BEGIN 1134 #undef __FUNCT__ 1135 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1136 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1137 { 1138 PC_MG *mg = (PC_MG*)pc->data; 1139 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1140 1141 PetscFunctionBegin; 1142 pc_gamg->repart = n; 1143 PetscFunctionReturn(0); 1144 } 1145 EXTERN_C_END 1146 1147 #undef __FUNCT__ 1148 #define __FUNCT__ "PCGAMGSetReuseProl" 1149 /*@ 1150 PCGAMGSetReuseProl - Reuse prlongation 1151 1152 Collective on PC 1153 1154 Input Parameters: 1155 . pc - the preconditioner context 1156 1157 1158 Options Database Key: 1159 . -pc_gamg_reuse_interpolation 1160 1161 Level: intermediate 1162 1163 Concepts: Unstructured multrigrid preconditioner 1164 1165 .seealso: () 1166 @*/ 1167 PetscErrorCode PCGAMGSetReuseProl(PC pc, PetscBool n) 1168 { 1169 PetscErrorCode ierr; 1170 1171 PetscFunctionBegin; 1172 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1173 ierr = PetscTryMethod(pc,"PCGAMGSetReuseProl_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1174 PetscFunctionReturn(0); 1175 } 1176 1177 EXTERN_C_BEGIN 1178 #undef __FUNCT__ 1179 #define __FUNCT__ "PCGAMGSetReuseProl_GAMG" 1180 PetscErrorCode PCGAMGSetReuseProl_GAMG(PC pc, PetscBool n) 1181 { 1182 PC_MG *mg = (PC_MG*)pc->data; 1183 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1184 1185 PetscFunctionBegin; 1186 pc_gamg->reuse_prol = n; 1187 PetscFunctionReturn(0); 1188 } 1189 EXTERN_C_END 1190 1191 #undef __FUNCT__ 1192 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1193 /*@ 1194 PCGAMGSetUseASMAggs - 1195 1196 Collective on PC 1197 1198 Input Parameters: 1199 . pc - the preconditioner context 1200 1201 1202 Options Database Key: 1203 . -pc_gamg_use_agg_gasm 1204 1205 Level: intermediate 1206 1207 Concepts: Unstructured multrigrid preconditioner 1208 1209 .seealso: () 1210 @*/ 1211 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1212 { 1213 PetscErrorCode ierr; 1214 1215 PetscFunctionBegin; 1216 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1217 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1218 PetscFunctionReturn(0); 1219 } 1220 1221 EXTERN_C_BEGIN 1222 #undef __FUNCT__ 1223 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1224 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1225 { 1226 PC_MG *mg = (PC_MG*)pc->data; 1227 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1228 1229 PetscFunctionBegin; 1230 pc_gamg->use_aggs_in_gasm = n; 1231 PetscFunctionReturn(0); 1232 } 1233 EXTERN_C_END 1234 1235 #undef __FUNCT__ 1236 #define __FUNCT__ "PCGAMGSetNlevels" 1237 /*@ 1238 PCGAMGSetNlevels - 1239 1240 Not collective on PC 1241 1242 Input Parameters: 1243 . pc - the preconditioner context 1244 1245 1246 Options Database Key: 1247 . -pc_mg_levels 1248 1249 Level: intermediate 1250 1251 Concepts: Unstructured multrigrid preconditioner 1252 1253 .seealso: () 1254 @*/ 1255 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1256 { 1257 PetscErrorCode ierr; 1258 1259 PetscFunctionBegin; 1260 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1261 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1262 PetscFunctionReturn(0); 1263 } 1264 1265 EXTERN_C_BEGIN 1266 #undef __FUNCT__ 1267 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1268 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1269 { 1270 PC_MG *mg = (PC_MG*)pc->data; 1271 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1272 1273 PetscFunctionBegin; 1274 pc_gamg->Nlevels = n; 1275 PetscFunctionReturn(0); 1276 } 1277 EXTERN_C_END 1278 1279 #undef __FUNCT__ 1280 #define __FUNCT__ "PCGAMGSetThreshold" 1281 /*@ 1282 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1283 1284 Not collective on PC 1285 1286 Input Parameters: 1287 . pc - the preconditioner context 1288 1289 1290 Options Database Key: 1291 . -pc_gamg_threshold 1292 1293 Level: intermediate 1294 1295 Concepts: Unstructured multrigrid preconditioner 1296 1297 .seealso: () 1298 @*/ 1299 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1300 { 1301 PetscErrorCode ierr; 1302 1303 PetscFunctionBegin; 1304 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1305 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1306 PetscFunctionReturn(0); 1307 } 1308 1309 EXTERN_C_BEGIN 1310 #undef __FUNCT__ 1311 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1312 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1313 { 1314 PC_MG *mg = (PC_MG*)pc->data; 1315 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1316 1317 PetscFunctionBegin; 1318 pc_gamg->threshold = n; 1319 PetscFunctionReturn(0); 1320 } 1321 EXTERN_C_END 1322 1323 #undef __FUNCT__ 1324 #define __FUNCT__ "PCGAMGSetType" 1325 /*@ 1326 PCGAMGSetType - Set solution method - calls sub create method 1327 1328 Collective on PC 1329 1330 Input Parameters: 1331 . pc - the preconditioner context 1332 1333 1334 Options Database Key: 1335 . -pc_gamg_type 1336 1337 Level: intermediate 1338 1339 Concepts: Unstructured multrigrid preconditioner 1340 1341 .seealso: () 1342 @*/ 1343 PetscErrorCode PCGAMGSetType(PC pc, PCGAMGType type) 1344 { 1345 PetscErrorCode ierr; 1346 1347 PetscFunctionBegin; 1348 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1349 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,PCGAMGType),(pc,type));CHKERRQ(ierr); 1350 PetscFunctionReturn(0); 1351 } 1352 1353 EXTERN_C_BEGIN 1354 #undef __FUNCT__ 1355 #define __FUNCT__ "PCGAMGSetType_GAMG" 1356 PetscErrorCode PCGAMGSetType_GAMG(PC pc, PCGAMGType type) 1357 { 1358 PetscErrorCode ierr,(*r)(PC); 1359 1360 PetscFunctionBegin; 1361 ierr = PetscFunctionListFind(((PetscObject)pc)->comm,GAMGList,type,PETSC_FALSE,(PetscVoidStarFunction)&r);CHKERRQ(ierr); 1362 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1363 ierr = (*r)(pc);CHKERRQ(ierr); 1364 PetscFunctionReturn(0); 1365 } 1366 EXTERN_C_END 1367 1368 #undef __FUNCT__ 1369 #define __FUNCT__ "PCSetFromOptions_GAMG" 1370 PetscErrorCode PCSetFromOptions_GAMG(PC pc) 1371 { 1372 PetscErrorCode ierr; 1373 PC_MG *mg = (PC_MG*)pc->data; 1374 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1375 PetscBool flag; 1376 PetscInt two = 2; 1377 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1378 1379 PetscFunctionBegin; 1380 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1381 { 1382 /* -pc_gamg_verbose */ 1383 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1384 "none", pc_gamg->verbose, 1385 &pc_gamg->verbose, PETSC_NULL);CHKERRQ(ierr); 1386 /* -pc_gamg_repartition */ 1387 ierr = PetscOptionsBool("-pc_gamg_repartition", 1388 "Repartion coarse grids (false)", 1389 "PCGAMGRepartitioning", 1390 pc_gamg->repart, 1391 &pc_gamg->repart, 1392 &flag);CHKERRQ(ierr); 1393 /* -pc_gamg_reuse_interpolation */ 1394 ierr = PetscOptionsBool("-pc_gamg_reuse_interpolation", 1395 "Reuse prolongation operator (true)", 1396 "PCGAMGReuseProl", 1397 pc_gamg->reuse_prol, 1398 &pc_gamg->reuse_prol, 1399 &flag);CHKERRQ(ierr); 1400 /* -pc_gamg_use_agg_gasm */ 1401 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1402 "Use aggregation agragates for GASM smoother (false)", 1403 "PCGAMGUseASMAggs", 1404 pc_gamg->use_aggs_in_gasm, 1405 &pc_gamg->use_aggs_in_gasm, 1406 &flag);CHKERRQ(ierr); 1407 /* -pc_gamg_process_eq_limit */ 1408 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1409 "Limit (goal) on number of equations per process on coarse grids", 1410 "PCGAMGSetProcEqLim", 1411 pc_gamg->min_eq_proc, 1412 &pc_gamg->min_eq_proc, 1413 &flag);CHKERRQ(ierr); 1414 /* -pc_gamg_coarse_eq_limit */ 1415 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1416 "Limit on number of equations for the coarse grid", 1417 "PCGAMGSetCoarseEqLim", 1418 pc_gamg->coarse_eq_limit, 1419 &pc_gamg->coarse_eq_limit, 1420 &flag);CHKERRQ(ierr); 1421 /* -pc_gamg_threshold */ 1422 ierr = PetscOptionsReal("-pc_gamg_threshold", 1423 "Relative threshold to use for dropping edges in aggregation graph", 1424 "PCGAMGSetThreshold", 1425 pc_gamg->threshold, 1426 &pc_gamg->threshold, 1427 &flag);CHKERRQ(ierr); 1428 if (flag && pc_gamg->verbose) { 1429 ierr = PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold);CHKERRQ(ierr); 1430 } 1431 1432 ierr = PetscOptionsRealArray("-pc_gamg_eigtarget","Target eigenvalue range as fraction of estimated maximum eigenvalue","PCGAMGSetEigTarget",pc_gamg->eigtarget,&two,PETSC_NULL);CHKERRQ(ierr); 1433 ierr = PetscOptionsInt("-pc_mg_levels", 1434 "Set number of MG levels", 1435 "PCGAMGSetNlevels", 1436 pc_gamg->Nlevels, 1437 &pc_gamg->Nlevels, 1438 &flag);CHKERRQ(ierr); 1439 } 1440 ierr = PetscOptionsTail();CHKERRQ(ierr); 1441 PetscFunctionReturn(0); 1442 } 1443 1444 /* -------------------------------------------------------------------------- */ 1445 /*MC 1446 PCGAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1447 - This is the entry point to GAMG, registered in pcregis.c 1448 1449 Options Database Keys: 1450 Multigrid options(inherited) 1451 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1452 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1453 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1454 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full kascade 1455 1456 Level: intermediate 1457 1458 Concepts: multigrid 1459 1460 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1461 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1462 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1463 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1464 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1465 M*/ 1466 EXTERN_C_BEGIN 1467 #undef __FUNCT__ 1468 #define __FUNCT__ "PCCreate_GAMG" 1469 PetscErrorCode PCCreate_GAMG(PC pc) 1470 { 1471 PetscErrorCode ierr; 1472 PC_GAMG *pc_gamg; 1473 PC_MG *mg; 1474 #if defined PETSC_GAMG_USE_LOG 1475 static long count = 0; 1476 #endif 1477 1478 PetscFunctionBegin; 1479 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1480 ierr = PCSetType(pc, PCMG);CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1481 ierr = PetscObjectChangeTypeName((PetscObject)pc, PCGAMG);CHKERRQ(ierr); 1482 1483 /* create a supporting struct and attach it to pc */ 1484 ierr = PetscNewLog(pc, PC_GAMG, &pc_gamg);CHKERRQ(ierr); 1485 mg = (PC_MG*)pc->data; 1486 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1487 mg->innerctx = pc_gamg; 1488 1489 pc_gamg->setup_count = 0; 1490 /* these should be in subctx but repartitioning needs simple arrays */ 1491 pc_gamg->data_sz = 0; 1492 pc_gamg->data = 0; 1493 1494 /* register AMG type */ 1495 if (!GAMGList) { 1496 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void (*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1497 ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void (*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1498 } 1499 1500 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1501 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1502 pc->ops->setup = PCSetUp_GAMG; 1503 pc->ops->reset = PCReset_GAMG; 1504 pc->ops->destroy = PCDestroy_GAMG; 1505 1506 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1507 "PCGAMGSetProcEqLim_C", 1508 "PCGAMGSetProcEqLim_GAMG", 1509 PCGAMGSetProcEqLim_GAMG);CHKERRQ(ierr); 1510 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1511 "PCGAMGSetCoarseEqLim_C", 1512 "PCGAMGSetCoarseEqLim_GAMG", 1513 PCGAMGSetCoarseEqLim_GAMG);CHKERRQ(ierr); 1514 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1515 "PCGAMGSetRepartitioning_C", 1516 "PCGAMGSetRepartitioning_GAMG", 1517 PCGAMGSetRepartitioning_GAMG);CHKERRQ(ierr); 1518 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1519 "PCGAMGSetReuseProl_C", 1520 "PCGAMGSetReuseProl_GAMG", 1521 PCGAMGSetReuseProl_GAMG);CHKERRQ(ierr); 1522 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1523 "PCGAMGSetUseASMAggs_C", 1524 "PCGAMGSetUseASMAggs_GAMG", 1525 PCGAMGSetUseASMAggs_GAMG);CHKERRQ(ierr); 1526 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1527 "PCGAMGSetThreshold_C", 1528 "PCGAMGSetThreshold_GAMG", 1529 PCGAMGSetThreshold_GAMG);CHKERRQ(ierr); 1530 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc, 1531 "PCGAMGSetType_C", 1532 "PCGAMGSetType_GAMG", 1533 PCGAMGSetType_GAMG);CHKERRQ(ierr); 1534 pc_gamg->repart = PETSC_FALSE; 1535 pc_gamg->reuse_prol = PETSC_TRUE; 1536 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1537 pc_gamg->min_eq_proc = 50; 1538 pc_gamg->coarse_eq_limit = 800; 1539 pc_gamg->threshold = 0.001; 1540 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1541 pc_gamg->verbose = 0; 1542 pc_gamg->emax_id = -1; 1543 pc_gamg->eigtarget[0] = 0.05; 1544 pc_gamg->eigtarget[1] = 1.05; 1545 1546 /* private events */ 1547 #if defined PETSC_GAMG_USE_LOG 1548 if (count++ == 0) { 1549 ierr = PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]);CHKERRQ(ierr); 1550 ierr = PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]);CHKERRQ(ierr); 1551 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1552 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1553 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1554 ierr = PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]);CHKERRQ(ierr); 1555 ierr = PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]);CHKERRQ(ierr); 1556 ierr = PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]);CHKERRQ(ierr); 1557 ierr = PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]);CHKERRQ(ierr); 1558 ierr = PetscLogEventRegister(" SA: col data", PC_CLASSID, &petsc_gamg_setup_events[SET7]);CHKERRQ(ierr); 1559 ierr = PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]);CHKERRQ(ierr); 1560 ierr = PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]);CHKERRQ(ierr); 1561 ierr = PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]);CHKERRQ(ierr); 1562 ierr = PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]);CHKERRQ(ierr); 1563 ierr = PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]);CHKERRQ(ierr); 1564 ierr = PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]);CHKERRQ(ierr); 1565 ierr = PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]);CHKERRQ(ierr); 1566 1567 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1568 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1569 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1570 /* create timer stages */ 1571 #if defined GAMG_STAGES 1572 { 1573 char str[32]; 1574 PetscInt lidx; 1575 sprintf(str,"MG Level %d (finest)",0); 1576 ierr = PetscLogStageRegister(str, &gamg_stages[0]);CHKERRQ(ierr); 1577 for (lidx=1; lidx<9; lidx++) { 1578 sprintf(str,"MG Level %d",lidx); 1579 ierr = PetscLogStageRegister(str, &gamg_stages[lidx]);CHKERRQ(ierr); 1580 } 1581 } 1582 #endif 1583 } 1584 #endif 1585 /* general events */ 1586 #if defined PETSC_USE_LOG 1587 ierr = PetscLogEventRegister("PCGAMGgraph_AGG", 0, &PC_GAMGGgraph_AGG);CHKERRQ(ierr); 1588 ierr = PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO);CHKERRQ(ierr); 1589 ierr = PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG);CHKERRQ(ierr); 1590 ierr = PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO);CHKERRQ(ierr); 1591 ierr = PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG);CHKERRQ(ierr); 1592 ierr = PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO);CHKERRQ(ierr); 1593 ierr = PetscLogEventRegister("PCGAMGPOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG);CHKERRQ(ierr); 1594 ierr = PetscLogEventRegister("GAMGKKTProl_AGG", PC_CLASSID, &PC_GAMGKKTProl_AGG);CHKERRQ(ierr); 1595 #endif 1596 1597 /* instantiate derived type */ 1598 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1599 { 1600 char tname[256] = GAMGAGG; 1601 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType",GAMGList, tname, tname, sizeof(tname), PETSC_NULL);CHKERRQ(ierr); 1602 ierr = PCGAMGSetType(pc, tname);CHKERRQ(ierr); 1603 } 1604 ierr = PetscOptionsTail();CHKERRQ(ierr); 1605 PetscFunctionReturn(0); 1606 } 1607 EXTERN_C_END 1608