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