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 #include <../src/ksp/pc/impls/bjacobi/bjacobi.h> /* Hack to access same_local_solves */ 8 9 #if defined PETSC_GAMG_USE_LOG 10 PetscLogEvent petsc_gamg_setup_events[NUM_SET]; 11 #endif 12 13 #if defined PETSC_USE_LOG 14 PetscLogEvent PC_GAMGGgraph_AGG; 15 PetscLogEvent PC_GAMGGgraph_GEO; 16 PetscLogEvent PC_GAMGCoarsen_AGG; 17 PetscLogEvent PC_GAMGCoarsen_GEO; 18 PetscLogEvent PC_GAMGProlongator_AGG; 19 PetscLogEvent PC_GAMGProlongator_GEO; 20 PetscLogEvent PC_GAMGOptprol_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 static PetscBool PCGAMGPackageInitialized; 32 33 /* ----------------------------------------------------------------------------- */ 34 #undef __FUNCT__ 35 #define __FUNCT__ "PCReset_GAMG" 36 PetscErrorCode PCReset_GAMG(PC pc) 37 { 38 PetscErrorCode ierr; 39 PC_MG *mg = (PC_MG*)pc->data; 40 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 41 42 PetscFunctionBegin; 43 if (pc_gamg->data) { /* this should not happen, cleaned up in SetUp */ 44 PetscPrintf(PetscObjectComm((PetscObject)pc),"***[%d]%s this should not happen, cleaned up in SetUp\n",0,__FUNCT__); 45 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 46 } 47 pc_gamg->data = NULL; pc_gamg->data_sz = 0; 48 49 if (pc_gamg->orig_data) { 50 ierr = PetscFree(pc_gamg->orig_data);CHKERRQ(ierr); 51 } 52 PetscFunctionReturn(0); 53 } 54 55 /* -------------------------------------------------------------------------- */ 56 /* 57 createLevel: create coarse op with RAP. repartition and/or reduce number 58 of active processors. 59 60 Input Parameter: 61 . pc - parameters + side effect: coarse data in 'pc_gamg->data' and 62 'pc_gamg->data_sz' are changed via repartitioning/reduction. 63 . Amat_fine - matrix on this fine (k) level 64 . cr_bs - coarse block size 65 . isLast - 66 In/Output Parameter: 67 . a_P_inout - prolongation operator to the next level (k-->k-1) 68 . a_nactive_proc - number of active procs 69 Output Parameter: 70 . a_Amat_crs - coarse matrix that is created (k-1) 71 */ 72 73 #undef __FUNCT__ 74 #define __FUNCT__ "createLevel" 75 static PetscErrorCode createLevel(const PC pc,const Mat Amat_fine,const PetscInt cr_bs,const PetscBool isLast, 76 Mat *a_P_inout,Mat *a_Amat_crs,PetscMPIInt *a_nactive_proc) 77 { 78 PetscErrorCode ierr; 79 PC_MG *mg = (PC_MG*)pc->data; 80 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 81 const PetscBool repart = pc_gamg->repart; 82 const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; 83 Mat Cmat,Pold=*a_P_inout; 84 MPI_Comm comm; 85 PetscMPIInt rank,size,new_size,nactive=*a_nactive_proc; 86 PetscInt ncrs_eq,ncrs,f_bs; 87 88 PetscFunctionBegin; 89 ierr = PetscObjectGetComm((PetscObject)Amat_fine,&comm);CHKERRQ(ierr); 90 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 91 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 92 ierr = MatGetBlockSize(Amat_fine, &f_bs);CHKERRQ(ierr); 93 /* RAP */ 94 ierr = MatPtAP(Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat);CHKERRQ(ierr); 95 96 /* set 'ncrs' (nodes), 'ncrs_eq' (equations)*/ 97 ierr = MatGetLocalSize(Cmat, &ncrs_eq, NULL);CHKERRQ(ierr); 98 if (pc_gamg->data_cell_rows>0) { 99 ncrs = pc_gamg->data_sz/pc_gamg->data_cell_cols/pc_gamg->data_cell_rows; 100 } 101 else { 102 PetscInt bs; 103 ierr = MatGetBlockSize(Cmat, &bs);CHKERRQ(ierr); 104 ncrs = ncrs_eq/bs; 105 } 106 107 /* get number of PEs to make active 'new_size', reduce, can be any integer 1-P */ 108 { 109 PetscInt ncrs_eq_glob; 110 ierr = MatGetSize(Cmat, &ncrs_eq_glob, NULL);CHKERRQ(ierr); 111 new_size = (PetscMPIInt)((float)ncrs_eq_glob/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ 112 if (new_size == 0 || ncrs_eq_glob < coarse_max) new_size = 1; 113 else if (new_size >= nactive) new_size = nactive; /* no change, rare */ 114 if (isLast) new_size = 1; 115 } 116 117 if (!repart && new_size==nactive) *a_Amat_crs = Cmat; /* output - no repartitioning or reduction - could bail here */ 118 else { 119 PetscInt *counts,*newproc_idx,ii,jj,kk,strideNew,*tidx,ncrs_new,ncrs_eq_new,nloc_old; 120 IS is_eq_newproc,is_eq_num,is_eq_num_prim,new_eq_indices; 121 122 nloc_old = ncrs_eq/cr_bs; 123 if (ncrs_eq % cr_bs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"ncrs_eq %D not divisible by cr_bs %D",ncrs_eq,cr_bs); 124 #if defined PETSC_GAMG_USE_LOG 125 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 126 #endif 127 /* make 'is_eq_newproc' */ 128 ierr = PetscMalloc1(size, &counts);CHKERRQ(ierr); 129 if (repart) { 130 /* Repartition Cmat_{k} and move colums of P^{k}_{k-1} and coordinates of primal part accordingly */ 131 Mat adj; 132 133 if (pc_gamg->verbose>0) { 134 if (pc_gamg->verbose==1) PetscPrintf(comm,"\t[%d]%s repartition: size (active): %d --> %d, neq = %d\n",rank,__FUNCT__,*a_nactive_proc,new_size,ncrs_eq); 135 else { 136 PetscInt n; 137 ierr = MPI_Allreduce(&ncrs_eq, &n, 1, MPIU_INT, MPI_SUM, comm);CHKERRQ(ierr); 138 PetscPrintf(comm,"\t[%d]%s repartition: size (active): %d --> %d, neq = %d\n",rank,__FUNCT__,*a_nactive_proc,new_size,n); 139 } 140 } 141 142 /* get 'adj' */ 143 if (cr_bs == 1) { 144 ierr = MatConvert(Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 145 } else { 146 /* make a scalar matrix to partition (no Stokes here) */ 147 Mat tMat; 148 PetscInt Istart_crs,Iend_crs,ncols,jj,Ii; 149 const PetscScalar *vals; 150 const PetscInt *idx; 151 PetscInt *d_nnz, *o_nnz, M, N; 152 static PetscInt llev = 0; 153 154 ierr = PetscMalloc1(ncrs, &d_nnz);CHKERRQ(ierr); 155 ierr = PetscMalloc1(ncrs, &o_nnz);CHKERRQ(ierr); 156 ierr = MatGetOwnershipRange(Cmat, &Istart_crs, &Iend_crs);CHKERRQ(ierr); 157 ierr = MatGetSize(Cmat, &M, &N);CHKERRQ(ierr); 158 for (Ii = Istart_crs, jj = 0; Ii < Iend_crs; Ii += cr_bs, jj++) { 159 ierr = MatGetRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 160 d_nnz[jj] = ncols/cr_bs; 161 o_nnz[jj] = ncols/cr_bs; 162 ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0);CHKERRQ(ierr); 163 if (d_nnz[jj] > ncrs) d_nnz[jj] = ncrs; 164 if (o_nnz[jj] > (M/cr_bs-ncrs)) o_nnz[jj] = M/cr_bs-ncrs; 165 } 166 167 ierr = MatCreate(comm, &tMat);CHKERRQ(ierr); 168 ierr = MatSetSizes(tMat, ncrs, ncrs,PETSC_DETERMINE, PETSC_DETERMINE);CHKERRQ(ierr); 169 ierr = MatSetType(tMat,MATAIJ);CHKERRQ(ierr); 170 ierr = MatSeqAIJSetPreallocation(tMat,0,d_nnz);CHKERRQ(ierr); 171 ierr = MatMPIAIJSetPreallocation(tMat,0,d_nnz,0,o_nnz);CHKERRQ(ierr); 172 ierr = PetscFree(d_nnz);CHKERRQ(ierr); 173 ierr = PetscFree(o_nnz);CHKERRQ(ierr); 174 175 for (ii = Istart_crs; ii < Iend_crs; ii++) { 176 PetscInt dest_row = ii/cr_bs; 177 ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 178 for (jj = 0; jj < ncols; jj++) { 179 PetscInt dest_col = idx[jj]/cr_bs; 180 PetscScalar v = 1.0; 181 ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES);CHKERRQ(ierr); 182 } 183 ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals);CHKERRQ(ierr); 184 } 185 ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 186 ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 187 188 if (llev++ == -1) { 189 PetscViewer viewer; char fname[32]; 190 ierr = PetscSNPrintf(fname,sizeof(fname),"part_mat_%D.mat",llev);CHKERRQ(ierr); 191 PetscViewerBinaryOpen(comm,fname,FILE_MODE_WRITE,&viewer); 192 ierr = MatView(tMat, viewer);CHKERRQ(ierr); 193 ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); 194 } 195 196 ierr = MatConvert(tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj);CHKERRQ(ierr); 197 198 ierr = MatDestroy(&tMat);CHKERRQ(ierr); 199 } /* create 'adj' */ 200 201 { /* partition: get newproc_idx */ 202 char prefix[256]; 203 const char *pcpre; 204 const PetscInt *is_idx; 205 MatPartitioning mpart; 206 IS proc_is; 207 PetscInt targetPE; 208 209 ierr = MatPartitioningCreate(comm, &mpart);CHKERRQ(ierr); 210 ierr = MatPartitioningSetAdjacency(mpart, adj);CHKERRQ(ierr); 211 ierr = PCGetOptionsPrefix(pc, &pcpre);CHKERRQ(ierr); 212 ierr = PetscSNPrintf(prefix,sizeof(prefix),"%spc_gamg_",pcpre ? pcpre : "");CHKERRQ(ierr); 213 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 214 ierr = MatPartitioningSetFromOptions(mpart);CHKERRQ(ierr); 215 ierr = MatPartitioningSetNParts(mpart, new_size);CHKERRQ(ierr); 216 ierr = MatPartitioningApply(mpart, &proc_is);CHKERRQ(ierr); 217 ierr = MatPartitioningDestroy(&mpart);CHKERRQ(ierr); 218 219 /* collect IS info */ 220 ierr = PetscMalloc1(ncrs_eq, &newproc_idx);CHKERRQ(ierr); 221 ierr = ISGetIndices(proc_is, &is_idx);CHKERRQ(ierr); 222 targetPE = 1; /* bring to "front" of machine */ 223 /*targetPE = size/new_size;*/ /* spread partitioning across machine */ 224 for (kk = jj = 0 ; kk < nloc_old ; kk++) { 225 for (ii = 0 ; ii < cr_bs ; ii++, jj++) { 226 newproc_idx[jj] = is_idx[kk] * targetPE; /* distribution */ 227 } 228 } 229 ierr = ISRestoreIndices(proc_is, &is_idx);CHKERRQ(ierr); 230 ierr = ISDestroy(&proc_is);CHKERRQ(ierr); 231 } 232 ierr = MatDestroy(&adj);CHKERRQ(ierr); 233 234 ierr = ISCreateGeneral(comm, ncrs_eq, newproc_idx, PETSC_COPY_VALUES, &is_eq_newproc);CHKERRQ(ierr); 235 if (newproc_idx != 0) { 236 ierr = PetscFree(newproc_idx);CHKERRQ(ierr); 237 } 238 } else { /* simple aggreagtion of parts -- 'is_eq_newproc' */ 239 240 PetscInt rfactor,targetPE; 241 /* find factor */ 242 if (new_size == 1) rfactor = size; /* easy */ 243 else { 244 PetscReal best_fact = 0.; 245 jj = -1; 246 for (kk = 1 ; kk <= size ; kk++) { 247 if (size%kk==0) { /* a candidate */ 248 PetscReal nactpe = (PetscReal)size/(PetscReal)kk, fact = nactpe/(PetscReal)new_size; 249 if (fact > 1.0) fact = 1./fact; /* keep fact < 1 */ 250 if (fact > best_fact) { 251 best_fact = fact; jj = kk; 252 } 253 } 254 } 255 if (jj != -1) rfactor = jj; 256 else rfactor = 1; /* does this happen .. a prime */ 257 } 258 new_size = size/rfactor; 259 260 if (new_size==nactive) { 261 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction, bail out because nested here */ 262 ierr = PetscFree(counts);CHKERRQ(ierr); 263 if (pc_gamg->verbose>0) { 264 PetscPrintf(comm,"\t[%d]%s aggregate processors noop: new_size=%d, neq(loc)=%d\n",rank,__FUNCT__,new_size,ncrs_eq); 265 } 266 PetscFunctionReturn(0); 267 } 268 269 if (pc_gamg->verbose) PetscPrintf(comm,"\t[%d]%s number of equations (loc) %d with simple aggregation\n",rank,__FUNCT__,ncrs_eq); 270 targetPE = rank/rfactor; 271 ierr = ISCreateStride(comm, ncrs_eq, targetPE, 0, &is_eq_newproc);CHKERRQ(ierr); 272 } /* end simple 'is_eq_newproc' */ 273 274 /* 275 Create an index set from the is_eq_newproc index set to indicate the mapping TO 276 */ 277 ierr = ISPartitioningToNumbering(is_eq_newproc, &is_eq_num);CHKERRQ(ierr); 278 is_eq_num_prim = is_eq_num; 279 /* 280 Determine how many equations/vertices are assigned to each processor 281 */ 282 ierr = ISPartitioningCount(is_eq_newproc, size, counts);CHKERRQ(ierr); 283 ncrs_eq_new = counts[rank]; 284 ierr = ISDestroy(&is_eq_newproc);CHKERRQ(ierr); 285 ncrs_new = ncrs_eq_new/cr_bs; /* eqs */ 286 287 ierr = PetscFree(counts);CHKERRQ(ierr); 288 #if defined PETSC_GAMG_USE_LOG 289 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 290 #endif 291 /* data movement scope -- this could be moved to subclasses so that we don't try to cram all auxilary data into some complex abstracted thing */ 292 { 293 Vec src_crd, dest_crd; 294 const PetscInt *idx,ndata_rows=pc_gamg->data_cell_rows,ndata_cols=pc_gamg->data_cell_cols,node_data_sz=ndata_rows*ndata_cols; 295 VecScatter vecscat; 296 PetscScalar *array; 297 IS isscat; 298 299 /* move data (for primal equations only) */ 300 /* Create a vector to contain the newly ordered element information */ 301 ierr = VecCreate(comm, &dest_crd);CHKERRQ(ierr); 302 ierr = VecSetSizes(dest_crd, node_data_sz*ncrs_new, PETSC_DECIDE);CHKERRQ(ierr); 303 ierr = VecSetType(dest_crd,VECSTANDARD);CHKERRQ(ierr); /* this is needed! */ 304 /* 305 There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having 306 a block size of ...). Note, ISs are expanded into equation space by 'cr_bs'. 307 */ 308 ierr = PetscMalloc1(ncrs*node_data_sz, &tidx);CHKERRQ(ierr); 309 ierr = ISGetIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 310 for (ii=0,jj=0; ii<ncrs; ii++) { 311 PetscInt id = idx[ii*cr_bs]/cr_bs; /* get node back */ 312 for (kk=0; kk<node_data_sz; kk++, jj++) tidx[jj] = id*node_data_sz + kk; 313 } 314 ierr = ISRestoreIndices(is_eq_num_prim, &idx);CHKERRQ(ierr); 315 ierr = ISCreateGeneral(comm, node_data_sz*ncrs, tidx, PETSC_COPY_VALUES, &isscat);CHKERRQ(ierr); 316 ierr = PetscFree(tidx);CHKERRQ(ierr); 317 /* 318 Create a vector to contain the original vertex information for each element 319 */ 320 ierr = VecCreateSeq(PETSC_COMM_SELF, node_data_sz*ncrs, &src_crd);CHKERRQ(ierr); 321 for (jj=0; jj<ndata_cols; jj++) { 322 const PetscInt stride0=ncrs*pc_gamg->data_cell_rows; 323 for (ii=0; ii<ncrs; ii++) { 324 for (kk=0; kk<ndata_rows; kk++) { 325 PetscInt ix = ii*ndata_rows + kk + jj*stride0, jx = ii*node_data_sz + kk*ndata_cols + jj; 326 PetscScalar tt = (PetscScalar)pc_gamg->data[ix]; 327 ierr = VecSetValues(src_crd, 1, &jx, &tt, INSERT_VALUES);CHKERRQ(ierr); 328 } 329 } 330 } 331 ierr = VecAssemblyBegin(src_crd);CHKERRQ(ierr); 332 ierr = VecAssemblyEnd(src_crd);CHKERRQ(ierr); 333 /* 334 Scatter the element vertex information (still in the original vertex ordering) 335 to the correct processor 336 */ 337 ierr = VecScatterCreate(src_crd, NULL, dest_crd, isscat, &vecscat);CHKERRQ(ierr); 338 ierr = ISDestroy(&isscat);CHKERRQ(ierr); 339 ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 340 ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 341 ierr = VecScatterDestroy(&vecscat);CHKERRQ(ierr); 342 ierr = VecDestroy(&src_crd);CHKERRQ(ierr); 343 /* 344 Put the element vertex data into a new allocation of the gdata->ele 345 */ 346 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 347 ierr = PetscMalloc1(node_data_sz*ncrs_new, &pc_gamg->data);CHKERRQ(ierr); 348 349 pc_gamg->data_sz = node_data_sz*ncrs_new; 350 strideNew = ncrs_new*ndata_rows; 351 352 ierr = VecGetArray(dest_crd, &array);CHKERRQ(ierr); 353 for (jj=0; jj<ndata_cols; jj++) { 354 for (ii=0; ii<ncrs_new; ii++) { 355 for (kk=0; kk<ndata_rows; kk++) { 356 PetscInt ix = ii*ndata_rows + kk + jj*strideNew, jx = ii*node_data_sz + kk*ndata_cols + jj; 357 pc_gamg->data[ix] = PetscRealPart(array[jx]); 358 } 359 } 360 } 361 ierr = VecRestoreArray(dest_crd, &array);CHKERRQ(ierr); 362 ierr = VecDestroy(&dest_crd);CHKERRQ(ierr); 363 } 364 /* move A and P (columns) with new layout */ 365 #if defined PETSC_GAMG_USE_LOG 366 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 367 #endif 368 369 /* 370 Invert for MatGetSubMatrix 371 */ 372 ierr = ISInvertPermutation(is_eq_num, ncrs_eq_new, &new_eq_indices);CHKERRQ(ierr); 373 ierr = ISSort(new_eq_indices);CHKERRQ(ierr); /* is this needed? */ 374 ierr = ISSetBlockSize(new_eq_indices, cr_bs);CHKERRQ(ierr); 375 if (is_eq_num != is_eq_num_prim) { 376 ierr = ISDestroy(&is_eq_num_prim);CHKERRQ(ierr); /* could be same as 'is_eq_num' */ 377 } 378 ierr = ISDestroy(&is_eq_num);CHKERRQ(ierr); 379 #if defined PETSC_GAMG_USE_LOG 380 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 381 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 382 #endif 383 /* 'a_Amat_crs' output */ 384 { 385 Mat mat; 386 ierr = MatGetSubMatrix(Cmat, new_eq_indices, new_eq_indices, MAT_INITIAL_MATRIX, &mat);CHKERRQ(ierr); 387 *a_Amat_crs = mat; 388 389 if (!PETSC_TRUE) { 390 PetscInt cbs, rbs; 391 ierr = MatGetBlockSizes(Cmat, &rbs, &cbs);CHKERRQ(ierr); 392 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Old Mat rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 393 ierr = MatGetBlockSizes(mat, &rbs, &cbs);CHKERRQ(ierr); 394 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); 395 } 396 } 397 ierr = MatDestroy(&Cmat);CHKERRQ(ierr); 398 399 #if defined PETSC_GAMG_USE_LOG 400 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 401 #endif 402 /* prolongator */ 403 { 404 IS findices; 405 PetscInt Istart,Iend; 406 Mat Pnew; 407 ierr = MatGetOwnershipRange(Pold, &Istart, &Iend);CHKERRQ(ierr); 408 #if defined PETSC_GAMG_USE_LOG 409 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 410 #endif 411 ierr = ISCreateStride(comm,Iend-Istart,Istart,1,&findices);CHKERRQ(ierr); 412 ierr = ISSetBlockSize(findices,f_bs);CHKERRQ(ierr); 413 ierr = MatGetSubMatrix(Pold, findices, new_eq_indices, MAT_INITIAL_MATRIX, &Pnew);CHKERRQ(ierr); 414 ierr = ISDestroy(&findices);CHKERRQ(ierr); 415 416 if (!PETSC_TRUE) { 417 PetscInt cbs, rbs; 418 ierr = MatGetBlockSizes(Pold, &rbs, &cbs);CHKERRQ(ierr); 419 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pold rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 420 ierr = MatGetBlockSizes(Pnew, &rbs, &cbs);CHKERRQ(ierr); 421 ierr = PetscPrintf(MPI_COMM_SELF,"[%d]%s Pnew rbs=%d cbs=%d\n",rank,__FUNCT__,rbs,cbs);CHKERRQ(ierr); 422 } 423 #if defined PETSC_GAMG_USE_LOG 424 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 425 #endif 426 ierr = MatDestroy(a_P_inout);CHKERRQ(ierr); 427 428 /* output - repartitioned */ 429 *a_P_inout = Pnew; 430 } 431 ierr = ISDestroy(&new_eq_indices);CHKERRQ(ierr); 432 433 *a_nactive_proc = new_size; /* output */ 434 } 435 436 /* outout matrix data */ 437 if (!PETSC_TRUE) { 438 PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; 439 if (llev==0) { 440 sprintf(fname,"Cmat_%d.m",llev++); 441 PetscViewerASCIIOpen(comm,fname,&viewer); 442 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 443 ierr = MatView(Amat_fine, viewer);CHKERRQ(ierr); 444 ierr = PetscViewerDestroy(&viewer); 445 } 446 sprintf(fname,"Cmat_%d.m",llev++); 447 PetscViewerASCIIOpen(comm,fname,&viewer); 448 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 449 ierr = MatView(Cmat, viewer);CHKERRQ(ierr); 450 ierr = PetscViewerDestroy(&viewer); 451 } 452 PetscFunctionReturn(0); 453 } 454 455 /* -------------------------------------------------------------------------- */ 456 /* 457 PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner 458 by setting data structures and options. 459 460 Input Parameter: 461 . pc - the preconditioner context 462 463 Application Interface Routine: PCSetUp() 464 465 Notes: 466 The interface routine PCSetUp() is not usually called directly by 467 the user, but instead is called by PCApply() if necessary. 468 */ 469 #undef __FUNCT__ 470 #define __FUNCT__ "PCSetUp_GAMG" 471 PetscErrorCode PCSetUp_GAMG(PC pc) 472 { 473 PetscErrorCode ierr; 474 PC_MG *mg = (PC_MG*)pc->data; 475 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 476 Mat Pmat = pc->pmat; 477 PetscInt fine_level,level,level1,bs,M,qq,lidx,nASMBlocksArr[GAMG_MAXLEVELS]; 478 MPI_Comm comm; 479 PetscMPIInt rank,size,nactivepe; 480 Mat Aarr[GAMG_MAXLEVELS],Parr[GAMG_MAXLEVELS]; 481 PetscReal emaxs[GAMG_MAXLEVELS]; 482 IS *ASMLocalIDsArr[GAMG_MAXLEVELS]; 483 PetscLogDouble nnz0=0.,nnztot=0.; 484 MatInfo info; 485 PetscBool redo_mesh_setup = (PetscBool)(!pc_gamg->reuse_prol); 486 487 PetscFunctionBegin; 488 ierr = PetscObjectGetComm((PetscObject)pc,&comm);CHKERRQ(ierr); 489 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 490 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 491 492 if (pc_gamg->verbose>2) PetscPrintf(comm,"[%d]%s pc_gamg->setup_count=%d pc->setupcalled=%d\n",rank,__FUNCT__,pc_gamg->setup_count,pc->setupcalled); 493 494 if (pc_gamg->setup_count++ > 0) { 495 if (redo_mesh_setup) { 496 /* reset everything */ 497 ierr = PCReset_MG(pc);CHKERRQ(ierr); 498 pc->setupcalled = 0; 499 } else { 500 PC_MG_Levels **mglevels = mg->levels; 501 /* just do Galerkin grids */ 502 Mat B,dA,dB; 503 504 if (!pc->setupcalled) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"PCSetUp() has not been called yet"); 505 if (pc_gamg->Nlevels > 1) { 506 /* currently only handle case where mat and pmat are the same on coarser levels */ 507 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB);CHKERRQ(ierr); 508 /* (re)set to get dirty flag */ 509 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB);CHKERRQ(ierr); 510 511 for (level=pc_gamg->Nlevels-2; level>=0; level--) { 512 /* the first time through the matrix structure has changed from repartitioning */ 513 if (pc_gamg->setup_count==2) { 514 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 515 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 516 517 mglevels[level]->A = B; 518 } else { 519 ierr = KSPGetOperators(mglevels[level]->smoothd,NULL,&B);CHKERRQ(ierr); 520 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 521 } 522 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B);CHKERRQ(ierr); 523 dB = B; 524 } 525 } 526 527 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 528 529 /* PCSetUp_MG seems to insists on setting this to GMRES */ 530 ierr = KSPSetType(mglevels[0]->smoothd, KSPPREONLY);CHKERRQ(ierr); 531 PetscFunctionReturn(0); 532 } 533 } 534 535 if (!pc_gamg->data) { 536 if (pc_gamg->orig_data) { 537 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 538 ierr = MatGetLocalSize(Pmat, &qq, NULL);CHKERRQ(ierr); 539 540 pc_gamg->data_sz = (qq/bs)*pc_gamg->orig_data_cell_rows*pc_gamg->orig_data_cell_cols; 541 pc_gamg->data_cell_rows = pc_gamg->orig_data_cell_rows; 542 pc_gamg->data_cell_cols = pc_gamg->orig_data_cell_cols; 543 544 ierr = PetscMalloc1(pc_gamg->data_sz, &pc_gamg->data);CHKERRQ(ierr); 545 for (qq=0; qq<pc_gamg->data_sz; qq++) pc_gamg->data[qq] = pc_gamg->orig_data[qq]; 546 } else { 547 if (!pc_gamg->ops->createdefaultdata) SETERRQ(comm,PETSC_ERR_PLIB,"'createdefaultdata' not set(?) need to support NULL data"); 548 ierr = pc_gamg->ops->createdefaultdata(pc,Pmat);CHKERRQ(ierr); 549 } 550 } 551 552 /* cache original data for reuse */ 553 if (!pc_gamg->orig_data && redo_mesh_setup) { 554 ierr = PetscMalloc1(pc_gamg->data_sz, &pc_gamg->orig_data);CHKERRQ(ierr); 555 for (qq=0; qq<pc_gamg->data_sz; qq++) pc_gamg->orig_data[qq] = pc_gamg->data[qq]; 556 pc_gamg->orig_data_cell_rows = pc_gamg->data_cell_rows; 557 pc_gamg->orig_data_cell_cols = pc_gamg->data_cell_cols; 558 } 559 560 /* get basic dims */ 561 ierr = MatGetBlockSize(Pmat, &bs);CHKERRQ(ierr); 562 563 ierr = MatGetSize(Pmat, &M, &qq);CHKERRQ(ierr); 564 if (pc_gamg->verbose) { 565 PetscInt NN = M; 566 if (pc_gamg->verbose==1) { 567 ierr = MatGetInfo(Pmat,MAT_LOCAL,&info);CHKERRQ(ierr); 568 ierr = MatGetLocalSize(Pmat, &NN, &qq);CHKERRQ(ierr); 569 if (!NN) NN=1; 570 } else { 571 ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info);CHKERRQ(ierr); 572 } 573 nnz0 = info.nz_used; 574 nnztot = info.nz_used; 575 ierr = PetscPrintf(comm,"\t[%d]%s level %d N=%d, n data rows=%d, n data cols=%d, nnz/row (ave)=%d, np=%d\n", 576 rank,__FUNCT__,0,M,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 577 (int)(nnz0/(PetscReal)NN),size);CHKERRQ(ierr); 578 } 579 580 /* Get A_i and R_i */ 581 for (level=0, Aarr[0]=Pmat, nactivepe = size; /* hard wired stopping logic */ 582 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (size==1 || nactivepe>1); */ 583 level++) { 584 level1 = level + 1; 585 #if defined PETSC_GAMG_USE_LOG 586 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 587 #if (defined GAMG_STAGES) 588 ierr = PetscLogStagePush(gamg_stages[level]);CHKERRQ(ierr); 589 #endif 590 #endif 591 { /* construct prolongator */ 592 Mat Gmat; 593 PetscCoarsenData *agg_lists; 594 Mat Prol11; 595 596 ierr = pc_gamg->ops->graph(pc,Aarr[level], &Gmat);CHKERRQ(ierr); 597 ierr = pc_gamg->ops->coarsen(pc, &Gmat, &agg_lists);CHKERRQ(ierr); 598 ierr = pc_gamg->ops->prolongator(pc,Aarr[level],Gmat,agg_lists,&Prol11);CHKERRQ(ierr); 599 600 /* could have failed to create new level */ 601 if (Prol11) { 602 /* get new block size of coarse matrices */ 603 ierr = MatGetBlockSizes(Prol11, NULL, &bs);CHKERRQ(ierr); 604 605 if (pc_gamg->ops->optprol) { 606 /* smooth */ 607 ierr = pc_gamg->ops->optprol(pc, Aarr[level], &Prol11);CHKERRQ(ierr); 608 } 609 610 Parr[level1] = Prol11; 611 } else Parr[level1] = NULL; 612 613 if (pc_gamg->use_aggs_in_gasm) { 614 PetscInt bs; 615 ierr = MatGetBlockSizes(Prol11, &bs, NULL);CHKERRQ(ierr); 616 ierr = PetscCDGetASMBlocks(agg_lists, bs, &nASMBlocksArr[level], &ASMLocalIDsArr[level]);CHKERRQ(ierr); 617 } 618 619 ierr = MatDestroy(&Gmat);CHKERRQ(ierr); 620 ierr = PetscCDDestroy(agg_lists);CHKERRQ(ierr); 621 } /* construct prolongator scope */ 622 #if defined PETSC_GAMG_USE_LOG 623 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 624 #endif 625 /* cache eigen estimate */ 626 if (pc_gamg->emax_id != -1) { 627 PetscBool flag; 628 ierr = PetscObjectComposedDataGetReal((PetscObject)Aarr[level], pc_gamg->emax_id, emaxs[level], flag);CHKERRQ(ierr); 629 if (!flag) emaxs[level] = -1.; 630 } else emaxs[level] = -1.; 631 if (level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 632 if (!Parr[level1]) { 633 if (pc_gamg->verbose) { 634 ierr = PetscPrintf(comm,"\t[%d]%s stop gridding, level %d\n",rank,__FUNCT__,level);CHKERRQ(ierr); 635 } 636 break; 637 } 638 #if defined PETSC_GAMG_USE_LOG 639 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 640 #endif 641 642 ierr = createLevel(pc, Aarr[level], bs, (PetscBool)(level==pc_gamg->Nlevels-2), 643 &Parr[level1], &Aarr[level1], &nactivepe);CHKERRQ(ierr); 644 645 #if defined PETSC_GAMG_USE_LOG 646 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 647 #endif 648 ierr = MatGetSize(Aarr[level1], &M, &qq);CHKERRQ(ierr); 649 650 if (pc_gamg->verbose > 0) { 651 PetscInt NN = M; 652 if (pc_gamg->verbose==1) { 653 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info);CHKERRQ(ierr); 654 ierr = MatGetLocalSize(Aarr[level1], &NN, &qq);CHKERRQ(ierr); 655 if (!NN) NN=1; 656 } else { 657 ierr = MatGetInfo(Aarr[level1], MAT_GLOBAL_SUM, &info);CHKERRQ(ierr); 658 } 659 660 nnztot += info.nz_used; 661 ierr = PetscPrintf(comm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 662 rank,__FUNCT__,(int)level1,M,pc_gamg->data_cell_cols, 663 (int)(info.nz_used/(PetscReal)NN), nactivepe);CHKERRQ(ierr); 664 } 665 666 /* stop if one node -- could pull back for singular problems */ 667 if ( (pc_gamg->data_cell_cols && M/pc_gamg->data_cell_cols < 2) || (!pc_gamg->data_cell_cols && M < 2)) { 668 level++; 669 break; 670 } 671 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 672 ierr = PetscLogStagePop();CHKERRQ(ierr); 673 #endif 674 } /* levels */ 675 676 if (pc_gamg->data) { 677 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 678 pc_gamg->data = NULL; 679 } 680 681 if (pc_gamg->verbose) PetscPrintf(comm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 682 pc_gamg->Nlevels = level + 1; 683 fine_level = level; 684 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,NULL);CHKERRQ(ierr); 685 686 /* simple setup */ 687 if (!PETSC_TRUE) { 688 PC_MG_Levels **mglevels = mg->levels; 689 for (lidx=0,level=pc_gamg->Nlevels-1; 690 lidx<fine_level; 691 lidx++, level--) { 692 ierr = PCMGSetInterpolation(pc, lidx+1, Parr[level]);CHKERRQ(ierr); 693 ierr = KSPSetOperators(mglevels[lidx]->smoothd, Aarr[level], Aarr[level]);CHKERRQ(ierr); 694 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 695 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 696 } 697 ierr = KSPSetOperators(mglevels[fine_level]->smoothd, Aarr[0], Aarr[0]);CHKERRQ(ierr); 698 699 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 700 } else if (pc_gamg->Nlevels > 1) { /* don't setup MG if one level */ 701 /* set default smoothers & set operators */ 702 for (lidx = 1, level = pc_gamg->Nlevels-2; 703 lidx <= fine_level; 704 lidx++, level--) { 705 KSP smoother; 706 PC subpc; 707 708 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 709 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 710 711 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 712 /* set ops */ 713 ierr = KSPSetOperators(smoother, Aarr[level], Aarr[level]);CHKERRQ(ierr); 714 ierr = PCMGSetInterpolation(pc, lidx, Parr[level+1]);CHKERRQ(ierr); 715 716 /* set defaults */ 717 ierr = KSPSetType(smoother, KSPCHEBYSHEV);CHKERRQ(ierr); 718 719 /* set blocks for GASM smoother that uses the 'aggregates' */ 720 if (pc_gamg->use_aggs_in_gasm) { 721 PetscInt sz; 722 IS *is; 723 724 sz = nASMBlocksArr[level]; 725 is = ASMLocalIDsArr[level]; 726 ierr = PCSetType(subpc, PCGASM);CHKERRQ(ierr); 727 ierr = PCGASMSetOverlap(subpc, 0);CHKERRQ(ierr); 728 if (sz==0) { 729 IS is; 730 PetscInt my0,kk; 731 ierr = MatGetOwnershipRange(Aarr[level], &my0, &kk);CHKERRQ(ierr); 732 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is);CHKERRQ(ierr); 733 ierr = PCGASMSetSubdomains(subpc, 1, &is, NULL);CHKERRQ(ierr); 734 ierr = ISDestroy(&is);CHKERRQ(ierr); 735 } else { 736 PetscInt kk; 737 ierr = PCGASMSetSubdomains(subpc, sz, is, NULL);CHKERRQ(ierr); 738 for (kk=0; kk<sz; kk++) { 739 ierr = ISDestroy(&is[kk]);CHKERRQ(ierr); 740 } 741 ierr = PetscFree(is);CHKERRQ(ierr); 742 } 743 ASMLocalIDsArr[level] = NULL; 744 nASMBlocksArr[level] = 0; 745 ierr = PCGASMSetType(subpc, PC_GASM_BASIC);CHKERRQ(ierr); 746 } else { 747 ierr = PCSetType(subpc, PCSOR);CHKERRQ(ierr); 748 } 749 } 750 { 751 /* coarse grid */ 752 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 753 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 754 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 755 ierr = KSPSetOperators(smoother, Lmat, Lmat);CHKERRQ(ierr); 756 ierr = KSPSetNormType(smoother, KSP_NORM_NONE);CHKERRQ(ierr); 757 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 758 ierr = PCSetType(subpc, PCBJACOBI);CHKERRQ(ierr); 759 ierr = PCSetUp(subpc);CHKERRQ(ierr); 760 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); 761 if (ii != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"ii %D is not one",ii); 762 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 763 ierr = PCSetType(pc2, PCLU);CHKERRQ(ierr); 764 ierr = PCFactorSetShiftType(pc2,MAT_SHIFT_INBLOCKS);CHKERRQ(ierr); 765 ierr = KSPSetTolerances(k2[0],PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT,1);CHKERRQ(ierr); 766 /* This flag gets reset by PCBJacobiGetSubKSP(), but our BJacobi really does the same algorithm everywhere (and in 767 * fact, all but one process will have zero dofs), so we reset the flag to avoid having PCView_BJacobi attempt to 768 * view every subdomain as though they were different. */ 769 ((PC_BJacobi*)subpc->data)->same_local_solves = PETSC_TRUE; 770 } 771 772 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 773 ierr = PetscObjectOptionsBegin((PetscObject)pc);CHKERRQ(ierr); 774 ierr = PCSetFromOptions_MG(pc);CHKERRQ(ierr); 775 ierr = PetscOptionsEnd();CHKERRQ(ierr); 776 if (mg->galerkin != 2) SETERRQ(comm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 777 778 /* create cheby smoothers */ 779 for (lidx = 1, level = pc_gamg->Nlevels-2; 780 lidx <= fine_level; 781 lidx++, level--) { 782 KSP smoother; 783 PetscBool flag,flag2; 784 PC subpc; 785 786 ierr = PCMGGetSmoother(pc, lidx, &smoother);CHKERRQ(ierr); 787 ierr = KSPGetPC(smoother, &subpc);CHKERRQ(ierr); 788 789 /* do my own cheby */ 790 ierr = PetscObjectTypeCompare((PetscObject)smoother, KSPCHEBYSHEV, &flag);CHKERRQ(ierr); 791 if (flag) { 792 PetscReal emax, emin; 793 ierr = PetscObjectTypeCompare((PetscObject)subpc, PCJACOBI, &flag);CHKERRQ(ierr); 794 ierr = PetscObjectTypeCompare((PetscObject)subpc, PCSOR, &flag2);CHKERRQ(ierr); 795 if ((flag||flag2) && emaxs[level] > 0.0) emax=emaxs[level]; /* eigen estimate only for diagnal PC but lets acccept SOR because it is close and safe (always lower) */ 796 else { /* eigen estimate 'emax' -- this is done in cheby */ 797 KSP eksp; 798 Mat Lmat = Aarr[level]; 799 Vec bb, xx; 800 801 ierr = MatCreateVecs(Lmat, &bb, 0);CHKERRQ(ierr); 802 ierr = MatCreateVecs(Lmat, &xx, 0);CHKERRQ(ierr); 803 { 804 PetscRandom rctx; 805 ierr = PetscRandomCreate(comm,&rctx);CHKERRQ(ierr); 806 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 807 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 808 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 809 } 810 811 /* zeroing out BC rows -- needed for crazy matrices */ 812 { 813 PetscInt Istart,Iend,ncols,jj,Ii; 814 PetscScalar zero = 0.0; 815 ierr = MatGetOwnershipRange(Lmat, &Istart, &Iend);CHKERRQ(ierr); 816 for (Ii = Istart, jj = 0; Ii < Iend; Ii++, jj++) { 817 ierr = MatGetRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 818 if (ncols <= 1) { 819 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 820 } 821 ierr = MatRestoreRow(Lmat,Ii,&ncols,0,0);CHKERRQ(ierr); 822 } 823 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 824 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 825 } 826 827 ierr = KSPCreate(comm, &eksp);CHKERRQ(ierr); 828 ierr = KSPSetTolerances(eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10);CHKERRQ(ierr); 829 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 830 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 831 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 832 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 833 834 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 835 ierr = KSPSetOperators(eksp, Lmat, Lmat);CHKERRQ(ierr); 836 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 837 838 /* set PC type to be same as smoother */ 839 ierr = KSPSetPC(eksp, subpc);CHKERRQ(ierr); 840 841 /* solve - keep stuff out of logging */ 842 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 843 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 844 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 845 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 846 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 847 848 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 849 850 ierr = VecDestroy(&xx);CHKERRQ(ierr); 851 ierr = VecDestroy(&bb);CHKERRQ(ierr); 852 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 853 854 if (pc_gamg->verbose > 0) { 855 PetscInt N1, tt; 856 ierr = MatGetSize(Aarr[level], &N1, &tt);CHKERRQ(ierr); 857 PetscPrintf(comm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 858 } 859 } 860 { 861 PetscInt N1, N0; 862 ierr = MatGetSize(Aarr[level], &N1, NULL);CHKERRQ(ierr); 863 ierr = MatGetSize(Aarr[level+1], &N0, NULL);CHKERRQ(ierr); 864 /* heuristic - is this crap? */ 865 /* emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); */ 866 emin = emax * pc_gamg->eigtarget[0]; 867 emax *= pc_gamg->eigtarget[1]; 868 } 869 ierr = KSPChebyshevSetEigenvalues(smoother, emax, emin);CHKERRQ(ierr); 870 } /* setup checby flag */ 871 } /* non-coarse levels */ 872 873 /* clean up */ 874 for (level=1; level<pc_gamg->Nlevels; level++) { 875 ierr = MatDestroy(&Parr[level]);CHKERRQ(ierr); 876 ierr = MatDestroy(&Aarr[level]);CHKERRQ(ierr); 877 } 878 879 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 880 881 if (PETSC_TRUE) { 882 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 883 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 884 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 885 } 886 } else { 887 KSP smoother; 888 if (pc_gamg->verbose) PetscPrintf(comm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",rank,__FUNCT__); 889 ierr = PCMGGetSmoother(pc, 0, &smoother);CHKERRQ(ierr); 890 ierr = KSPSetOperators(smoother, Aarr[0], Aarr[0]);CHKERRQ(ierr); 891 ierr = KSPSetType(smoother, KSPPREONLY);CHKERRQ(ierr); 892 ierr = PCSetUp_MG(pc);CHKERRQ(ierr); 893 } 894 PetscFunctionReturn(0); 895 } 896 897 /* ------------------------------------------------------------------------- */ 898 /* 899 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 900 that was created with PCCreate_GAMG(). 901 902 Input Parameter: 903 . pc - the preconditioner context 904 905 Application Interface Routine: PCDestroy() 906 */ 907 #undef __FUNCT__ 908 #define __FUNCT__ "PCDestroy_GAMG" 909 PetscErrorCode PCDestroy_GAMG(PC pc) 910 { 911 PetscErrorCode ierr; 912 PC_MG *mg = (PC_MG*)pc->data; 913 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 914 915 PetscFunctionBegin; 916 ierr = PCReset_GAMG(pc);CHKERRQ(ierr); 917 if (pc_gamg->ops->destroy) { 918 ierr = (*pc_gamg->ops->destroy)(pc);CHKERRQ(ierr); 919 } 920 ierr = PetscFree(pc_gamg->ops);CHKERRQ(ierr); 921 ierr = PetscFree(pc_gamg->gamg_type_name);CHKERRQ(ierr); 922 ierr = PetscFree(pc_gamg);CHKERRQ(ierr); 923 ierr = PCDestroy_MG(pc);CHKERRQ(ierr); 924 PetscFunctionReturn(0); 925 } 926 927 928 #undef __FUNCT__ 929 #define __FUNCT__ "PCGAMGSetProcEqLim" 930 /*@ 931 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 932 processor reduction. 933 934 Not Collective on PC 935 936 Input Parameters: 937 . pc - the preconditioner context 938 939 940 Options Database Key: 941 . -pc_gamg_process_eq_limit 942 943 Level: intermediate 944 945 Concepts: Unstructured multrigrid preconditioner 946 947 .seealso: () 948 @*/ 949 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 950 { 951 PetscErrorCode ierr; 952 953 PetscFunctionBegin; 954 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 955 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 956 PetscFunctionReturn(0); 957 } 958 959 #undef __FUNCT__ 960 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 961 static PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 962 { 963 PC_MG *mg = (PC_MG*)pc->data; 964 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 965 966 PetscFunctionBegin; 967 if (n>0) pc_gamg->min_eq_proc = n; 968 PetscFunctionReturn(0); 969 } 970 971 #undef __FUNCT__ 972 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 973 /*@ 974 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 975 976 Collective on PC 977 978 Input Parameters: 979 . pc - the preconditioner context 980 981 982 Options Database Key: 983 . -pc_gamg_coarse_eq_limit 984 985 Level: intermediate 986 987 Concepts: Unstructured multrigrid preconditioner 988 989 .seealso: () 990 @*/ 991 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 992 { 993 PetscErrorCode ierr; 994 995 PetscFunctionBegin; 996 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 997 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 998 PetscFunctionReturn(0); 999 } 1000 1001 #undef __FUNCT__ 1002 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 1003 static PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 1004 { 1005 PC_MG *mg = (PC_MG*)pc->data; 1006 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1007 1008 PetscFunctionBegin; 1009 if (n>0) pc_gamg->coarse_eq_limit = n; 1010 PetscFunctionReturn(0); 1011 } 1012 1013 #undef __FUNCT__ 1014 #define __FUNCT__ "PCGAMGSetRepartitioning" 1015 /*@ 1016 PCGAMGSetRepartitioning - Repartition the coarse grids 1017 1018 Collective on PC 1019 1020 Input Parameters: 1021 . pc - the preconditioner context 1022 1023 1024 Options Database Key: 1025 . -pc_gamg_repartition 1026 1027 Level: intermediate 1028 1029 Concepts: Unstructured multrigrid preconditioner 1030 1031 .seealso: () 1032 @*/ 1033 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 1034 { 1035 PetscErrorCode ierr; 1036 1037 PetscFunctionBegin; 1038 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1039 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1040 PetscFunctionReturn(0); 1041 } 1042 1043 #undef __FUNCT__ 1044 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1045 static PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1046 { 1047 PC_MG *mg = (PC_MG*)pc->data; 1048 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1049 1050 PetscFunctionBegin; 1051 pc_gamg->repart = n; 1052 PetscFunctionReturn(0); 1053 } 1054 1055 #undef __FUNCT__ 1056 #define __FUNCT__ "PCGAMGSetReuseProl" 1057 /*@ 1058 PCGAMGSetReuseProl - Reuse prlongation 1059 1060 Collective on PC 1061 1062 Input Parameters: 1063 . pc - the preconditioner context 1064 1065 1066 Options Database Key: 1067 . -pc_gamg_reuse_interpolation 1068 1069 Level: intermediate 1070 1071 Concepts: Unstructured multrigrid preconditioner 1072 1073 .seealso: () 1074 @*/ 1075 PetscErrorCode PCGAMGSetReuseProl(PC pc, PetscBool n) 1076 { 1077 PetscErrorCode ierr; 1078 1079 PetscFunctionBegin; 1080 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1081 ierr = PetscTryMethod(pc,"PCGAMGSetReuseProl_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1082 PetscFunctionReturn(0); 1083 } 1084 1085 #undef __FUNCT__ 1086 #define __FUNCT__ "PCGAMGSetReuseProl_GAMG" 1087 static PetscErrorCode PCGAMGSetReuseProl_GAMG(PC pc, PetscBool n) 1088 { 1089 PC_MG *mg = (PC_MG*)pc->data; 1090 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1091 1092 PetscFunctionBegin; 1093 pc_gamg->reuse_prol = n; 1094 PetscFunctionReturn(0); 1095 } 1096 1097 #undef __FUNCT__ 1098 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1099 /*@ 1100 PCGAMGSetUseASMAggs - 1101 1102 Collective on PC 1103 1104 Input Parameters: 1105 . pc - the preconditioner context 1106 1107 1108 Options Database Key: 1109 . -pc_gamg_use_agg_gasm 1110 1111 Level: intermediate 1112 1113 Concepts: Unstructured multrigrid preconditioner 1114 1115 .seealso: () 1116 @*/ 1117 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1118 { 1119 PetscErrorCode ierr; 1120 1121 PetscFunctionBegin; 1122 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1123 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1124 PetscFunctionReturn(0); 1125 } 1126 1127 #undef __FUNCT__ 1128 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1129 static PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1130 { 1131 PC_MG *mg = (PC_MG*)pc->data; 1132 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1133 1134 PetscFunctionBegin; 1135 pc_gamg->use_aggs_in_gasm = n; 1136 PetscFunctionReturn(0); 1137 } 1138 1139 #undef __FUNCT__ 1140 #define __FUNCT__ "PCGAMGSetNlevels" 1141 /*@ 1142 PCGAMGSetNlevels - 1143 1144 Not collective on PC 1145 1146 Input Parameters: 1147 . pc - the preconditioner context 1148 1149 1150 Options Database Key: 1151 . -pc_mg_levels 1152 1153 Level: intermediate 1154 1155 Concepts: Unstructured multrigrid preconditioner 1156 1157 .seealso: () 1158 @*/ 1159 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1160 { 1161 PetscErrorCode ierr; 1162 1163 PetscFunctionBegin; 1164 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1165 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1166 PetscFunctionReturn(0); 1167 } 1168 1169 #undef __FUNCT__ 1170 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1171 static PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1172 { 1173 PC_MG *mg = (PC_MG*)pc->data; 1174 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1175 1176 PetscFunctionBegin; 1177 pc_gamg->Nlevels = n; 1178 PetscFunctionReturn(0); 1179 } 1180 1181 #undef __FUNCT__ 1182 #define __FUNCT__ "PCGAMGSetThreshold" 1183 /*@ 1184 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1185 1186 Not collective on PC 1187 1188 Input Parameters: 1189 . pc - the preconditioner context 1190 1191 1192 Options Database Key: 1193 . -pc_gamg_threshold 1194 1195 Level: intermediate 1196 1197 Concepts: Unstructured multrigrid preconditioner 1198 1199 .seealso: () 1200 @*/ 1201 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1202 { 1203 PetscErrorCode ierr; 1204 1205 PetscFunctionBegin; 1206 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1207 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1208 PetscFunctionReturn(0); 1209 } 1210 1211 #undef __FUNCT__ 1212 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1213 static PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1214 { 1215 PC_MG *mg = (PC_MG*)pc->data; 1216 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1217 1218 PetscFunctionBegin; 1219 pc_gamg->threshold = n; 1220 PetscFunctionReturn(0); 1221 } 1222 1223 #undef __FUNCT__ 1224 #define __FUNCT__ "PCGAMGSetType" 1225 /*@ 1226 PCGAMGSetType - Set solution method 1227 1228 Collective on PC 1229 1230 Input Parameters: 1231 + pc - the preconditioner context 1232 - type - PCGAMGAGG, PCGAMGGEO, or PCGAMGCLASSICAL 1233 1234 Options Database Key: 1235 . -pc_gamg_type <agg,geo,classical> 1236 1237 Level: intermediate 1238 1239 Concepts: Unstructured multrigrid preconditioner 1240 1241 .seealso: PCGAMGGetType(), PCGAMG 1242 @*/ 1243 PetscErrorCode PCGAMGSetType(PC pc, PCGAMGType type) 1244 { 1245 PetscErrorCode ierr; 1246 1247 PetscFunctionBegin; 1248 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1249 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,PCGAMGType),(pc,type));CHKERRQ(ierr); 1250 PetscFunctionReturn(0); 1251 } 1252 1253 #undef __FUNCT__ 1254 #define __FUNCT__ "PCGAMGGetType" 1255 /*@ 1256 PCGAMGGetType - Get solution method 1257 1258 Collective on PC 1259 1260 Input Parameter: 1261 . pc - the preconditioner context 1262 1263 Output Parameter: 1264 . type - the type of algorithm used 1265 1266 Level: intermediate 1267 1268 Concepts: Unstructured multrigrid preconditioner 1269 1270 .seealso: PCGAMGSetType() 1271 @*/ 1272 PetscErrorCode PCGAMGGetType(PC pc, PCGAMGType *type) 1273 { 1274 PetscErrorCode ierr; 1275 1276 PetscFunctionBegin; 1277 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1278 ierr = PetscUseMethod(pc,"PCGAMGGetType_C",(PC,PCGAMGType*),(pc,type));CHKERRQ(ierr); 1279 PetscFunctionReturn(0); 1280 } 1281 1282 #undef __FUNCT__ 1283 #define __FUNCT__ "PCGAMGGetType_GAMG" 1284 static PetscErrorCode PCGAMGGetType_GAMG(PC pc, PCGAMGType *type) 1285 { 1286 PC_MG *mg = (PC_MG*)pc->data; 1287 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1288 1289 PetscFunctionBegin; 1290 *type = pc_gamg->type; 1291 PetscFunctionReturn(0); 1292 } 1293 1294 #undef __FUNCT__ 1295 #define __FUNCT__ "PCGAMGSetType_GAMG" 1296 static PetscErrorCode PCGAMGSetType_GAMG(PC pc, PCGAMGType type) 1297 { 1298 PetscErrorCode ierr,(*r)(PC); 1299 PC_MG *mg = (PC_MG*)pc->data; 1300 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1301 1302 PetscFunctionBegin; 1303 pc_gamg->type = type; 1304 ierr = PetscFunctionListFind(GAMGList,type,&r);CHKERRQ(ierr); 1305 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1306 if (pc_gamg->ops->destroy) { 1307 /* there was something here - kill it */ 1308 ierr = (*pc_gamg->ops->destroy)(pc);CHKERRQ(ierr); 1309 ierr = PetscMemzero(pc_gamg->ops,sizeof(struct _PCGAMGOps));CHKERRQ(ierr); 1310 /* cleaning up common data in pc_gamg - this should disapear someday */ 1311 pc_gamg->data_cell_cols = 0; 1312 pc_gamg->data_cell_rows = 0; 1313 pc_gamg->orig_data_cell_cols = 0; 1314 pc_gamg->orig_data_cell_rows = 0; 1315 if (pc_gamg->data_sz) { 1316 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 1317 pc_gamg->data_sz = 0; 1318 } else if (pc_gamg->data) { 1319 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); /* can this happen ? */ 1320 } 1321 } 1322 ierr = PetscFree(pc_gamg->gamg_type_name);CHKERRQ(ierr); 1323 ierr = PetscStrallocpy(type,&pc_gamg->gamg_type_name);CHKERRQ(ierr); 1324 ierr = (*r)(pc);CHKERRQ(ierr); 1325 PetscFunctionReturn(0); 1326 } 1327 1328 #undef __FUNCT__ 1329 #define __FUNCT__ "PCSetFromOptions_GAMG" 1330 PetscErrorCode PCSetFromOptions_GAMG(PC pc) 1331 { 1332 PetscErrorCode ierr; 1333 PC_MG *mg = (PC_MG*)pc->data; 1334 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1335 PetscBool flag; 1336 PetscInt two = 2; 1337 MPI_Comm comm; 1338 1339 PetscFunctionBegin; 1340 ierr = PetscObjectGetComm((PetscObject)pc,&comm);CHKERRQ(ierr); 1341 ierr = PetscOptionsHead("GAMG options");CHKERRQ(ierr); 1342 { 1343 /* -pc_gamg_type */ 1344 { 1345 char tname[256]; 1346 ierr = PetscOptionsFList("-pc_gamg_type","Type of AMG method","PCGAMGSetType",GAMGList, pc_gamg->gamg_type_name, tname, sizeof(tname), &flag);CHKERRQ(ierr); 1347 if (flag) { 1348 ierr = PCGAMGSetType(pc,tname);CHKERRQ(ierr); 1349 } 1350 } 1351 /* -pc_gamg_verbose */ 1352 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG","none", pc_gamg->verbose,&pc_gamg->verbose, NULL);CHKERRQ(ierr); 1353 /* -pc_gamg_repartition */ 1354 ierr = PetscOptionsBool("-pc_gamg_repartition","Repartion coarse grids","PCGAMGRepartitioning",pc_gamg->repart,&pc_gamg->repart,NULL);CHKERRQ(ierr); 1355 /* -pc_gamg_reuse_interpolation */ 1356 ierr = PetscOptionsBool("-pc_gamg_reuse_interpolation","Reuse prolongation operator","PCGAMGReuseProl",pc_gamg->reuse_prol,&pc_gamg->reuse_prol,NULL);CHKERRQ(ierr); 1357 /* -pc_gamg_use_agg_gasm */ 1358 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm","Use aggregation agragates for GASM smoother","PCGAMGUseASMAggs",pc_gamg->use_aggs_in_gasm,&pc_gamg->use_aggs_in_gasm,NULL);CHKERRQ(ierr); 1359 /* -pc_gamg_process_eq_limit */ 1360 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit","Limit (goal) on number of equations per process on coarse grids","PCGAMGSetProcEqLim",pc_gamg->min_eq_proc,&pc_gamg->min_eq_proc,NULL);CHKERRQ(ierr); 1361 /* -pc_gamg_coarse_eq_limit */ 1362 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit","Limit on number of equations for the coarse grid","PCGAMGSetCoarseEqLim",pc_gamg->coarse_eq_limit,&pc_gamg->coarse_eq_limit,NULL);CHKERRQ(ierr); 1363 /* -pc_gamg_threshold */ 1364 ierr = PetscOptionsReal("-pc_gamg_threshold","Relative threshold to use for dropping edges in aggregation graph","PCGAMGSetThreshold",pc_gamg->threshold,&pc_gamg->threshold,&flag);CHKERRQ(ierr); 1365 if (flag && pc_gamg->verbose) { 1366 ierr = PetscPrintf(comm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold);CHKERRQ(ierr); 1367 } 1368 /* -pc_gamg_eigtarget */ 1369 ierr = PetscOptionsRealArray("-pc_gamg_eigtarget","Target eigenvalue range as fraction of estimated maximum eigenvalue","PCGAMGSetEigTarget",pc_gamg->eigtarget,&two,NULL);CHKERRQ(ierr); 1370 ierr = PetscOptionsInt("-pc_mg_levels","Set number of MG levels","PCGAMGSetNlevels",pc_gamg->Nlevels,&pc_gamg->Nlevels,NULL);CHKERRQ(ierr); 1371 1372 /* set options for subtype */ 1373 if (pc_gamg->ops->setfromoptions) {ierr = (*pc_gamg->ops->setfromoptions)(pc);CHKERRQ(ierr);} 1374 } 1375 ierr = PetscOptionsTail();CHKERRQ(ierr); 1376 PetscFunctionReturn(0); 1377 } 1378 1379 /* -------------------------------------------------------------------------- */ 1380 /*MC 1381 PCGAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1382 - This is the entry point to GAMG, registered in pcregis.c 1383 1384 Options Database Keys: 1385 Multigrid options(inherited) 1386 + -pc_mg_cycles <v>: v or w (PCMGSetCycleType) 1387 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1388 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1389 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full kascade 1390 1391 Level: intermediate 1392 1393 Concepts: multigrid 1394 1395 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1396 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1397 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1398 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1399 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1400 M*/ 1401 1402 #undef __FUNCT__ 1403 #define __FUNCT__ "PCCreate_GAMG" 1404 PETSC_EXTERN PetscErrorCode PCCreate_GAMG(PC pc) 1405 { 1406 PetscErrorCode ierr; 1407 PC_GAMG *pc_gamg; 1408 PC_MG *mg; 1409 #if defined PETSC_GAMG_USE_LOG 1410 static long count = 0; 1411 #endif 1412 1413 PetscFunctionBegin; 1414 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1415 ierr = PCSetType(pc, PCMG);CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1416 ierr = PetscObjectChangeTypeName((PetscObject)pc, PCGAMG);CHKERRQ(ierr); 1417 1418 /* create a supporting struct and attach it to pc */ 1419 ierr = PetscNewLog(pc,&pc_gamg);CHKERRQ(ierr); 1420 mg = (PC_MG*)pc->data; 1421 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1422 mg->innerctx = pc_gamg; 1423 1424 ierr = PetscNewLog(pc,&pc_gamg->ops);CHKERRQ(ierr); 1425 1426 pc_gamg->setup_count = 0; 1427 /* these should be in subctx but repartitioning needs simple arrays */ 1428 pc_gamg->data_sz = 0; 1429 pc_gamg->data = 0; 1430 1431 /* register AMG type */ 1432 ierr = PCGAMGInitializePackage();CHKERRQ(ierr); 1433 1434 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1435 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1436 pc->ops->setup = PCSetUp_GAMG; 1437 pc->ops->reset = PCReset_GAMG; 1438 pc->ops->destroy = PCDestroy_GAMG; 1439 1440 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetProcEqLim_C",PCGAMGSetProcEqLim_GAMG);CHKERRQ(ierr); 1441 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetCoarseEqLim_C",PCGAMGSetCoarseEqLim_GAMG);CHKERRQ(ierr); 1442 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetRepartitioning_C",PCGAMGSetRepartitioning_GAMG);CHKERRQ(ierr); 1443 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetReuseProl_C",PCGAMGSetReuseProl_GAMG);CHKERRQ(ierr); 1444 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetUseASMAggs_C",PCGAMGSetUseASMAggs_GAMG);CHKERRQ(ierr); 1445 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetThreshold_C",PCGAMGSetThreshold_GAMG);CHKERRQ(ierr); 1446 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetType_C",PCGAMGSetType_GAMG);CHKERRQ(ierr); 1447 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGGetType_C",PCGAMGGetType_GAMG);CHKERRQ(ierr); 1448 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCGAMGSetNlevels_C",PCGAMGSetNlevels_GAMG);CHKERRQ(ierr); 1449 pc_gamg->repart = PETSC_FALSE; 1450 pc_gamg->reuse_prol = PETSC_FALSE; 1451 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1452 pc_gamg->min_eq_proc = 50; 1453 pc_gamg->coarse_eq_limit = 800; 1454 pc_gamg->threshold = 0.; 1455 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1456 pc_gamg->verbose = 0; 1457 pc_gamg->emax_id = -1; 1458 pc_gamg->eigtarget[0] = 0.05; 1459 pc_gamg->eigtarget[1] = 1.05; 1460 1461 /* private events */ 1462 #if defined PETSC_GAMG_USE_LOG 1463 if (count++ == 0) { 1464 ierr = PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]);CHKERRQ(ierr); 1465 ierr = PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]);CHKERRQ(ierr); 1466 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1467 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1468 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1469 ierr = PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]);CHKERRQ(ierr); 1470 ierr = PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]);CHKERRQ(ierr); 1471 ierr = PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]);CHKERRQ(ierr); 1472 ierr = PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]);CHKERRQ(ierr); 1473 ierr = PetscLogEventRegister(" SA: col data", PC_CLASSID, &petsc_gamg_setup_events[SET7]);CHKERRQ(ierr); 1474 ierr = PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]);CHKERRQ(ierr); 1475 ierr = PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]);CHKERRQ(ierr); 1476 ierr = PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]);CHKERRQ(ierr); 1477 ierr = PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]);CHKERRQ(ierr); 1478 ierr = PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]);CHKERRQ(ierr); 1479 ierr = PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]);CHKERRQ(ierr); 1480 ierr = PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]);CHKERRQ(ierr); 1481 1482 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1483 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1484 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1485 /* create timer stages */ 1486 #if defined GAMG_STAGES 1487 { 1488 char str[32]; 1489 PetscInt lidx; 1490 sprintf(str,"MG Level %d (finest)",0); 1491 ierr = PetscLogStageRegister(str, &gamg_stages[0]);CHKERRQ(ierr); 1492 for (lidx=1; lidx<9; lidx++) { 1493 sprintf(str,"MG Level %d",lidx); 1494 ierr = PetscLogStageRegister(str, &gamg_stages[lidx]);CHKERRQ(ierr); 1495 } 1496 } 1497 #endif 1498 } 1499 #endif 1500 /* PCSetUp_GAMG assumes that the type has been set, so set it to the default now */ 1501 ierr = PCGAMGSetType(pc,PCGAMGAGG);CHKERRQ(ierr); 1502 PetscFunctionReturn(0); 1503 } 1504 1505 #undef __FUNCT__ 1506 #define __FUNCT__ "PCGAMGInitializePackage" 1507 /*@C 1508 PCGAMGInitializePackage - This function initializes everything in the PCGAMG package. It is called 1509 from PetscDLLibraryRegister() when using dynamic libraries, and on the first call to PCCreate_GAMG() 1510 when using static libraries. 1511 1512 Level: developer 1513 1514 .keywords: PC, PCGAMG, initialize, package 1515 .seealso: PetscInitialize() 1516 @*/ 1517 PetscErrorCode PCGAMGInitializePackage(void) 1518 { 1519 PetscErrorCode ierr; 1520 1521 PetscFunctionBegin; 1522 if (PCGAMGPackageInitialized) PetscFunctionReturn(0); 1523 PCGAMGPackageInitialized = PETSC_TRUE; 1524 ierr = PetscFunctionListAdd(&GAMGList,PCGAMGGEO,PCCreateGAMG_GEO);CHKERRQ(ierr); 1525 ierr = PetscFunctionListAdd(&GAMGList,PCGAMGAGG,PCCreateGAMG_AGG);CHKERRQ(ierr); 1526 ierr = PetscFunctionListAdd(&GAMGList,PCGAMGCLASSICAL,PCCreateGAMG_Classical);CHKERRQ(ierr); 1527 ierr = PetscRegisterFinalize(PCGAMGFinalizePackage);CHKERRQ(ierr); 1528 1529 /* general events */ 1530 #if defined PETSC_USE_LOG 1531 ierr = PetscLogEventRegister("PCGAMGgraph_AGG", 0, &PC_GAMGGgraph_AGG);CHKERRQ(ierr); 1532 ierr = PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO);CHKERRQ(ierr); 1533 ierr = PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG);CHKERRQ(ierr); 1534 ierr = PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO);CHKERRQ(ierr); 1535 ierr = PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG);CHKERRQ(ierr); 1536 ierr = PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO);CHKERRQ(ierr); 1537 ierr = PetscLogEventRegister("PCGAMGPOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG);CHKERRQ(ierr); 1538 #endif 1539 1540 PetscFunctionReturn(0); 1541 } 1542 1543 #undef __FUNCT__ 1544 #define __FUNCT__ "PCGAMGFinalizePackage" 1545 /*@C 1546 PCGAMGFinalizePackage - This function destroys everything in the PCGAMG package. It is 1547 called from PetscFinalize(). 1548 1549 Level: developer 1550 1551 .keywords: Petsc, destroy, package 1552 .seealso: PetscFinalize() 1553 @*/ 1554 PetscErrorCode PCGAMGFinalizePackage(void) 1555 { 1556 PetscErrorCode ierr; 1557 1558 PetscFunctionBegin; 1559 PCGAMGPackageInitialized = PETSC_FALSE; 1560 ierr = PetscFunctionListDestroy(&GAMGList);CHKERRQ(ierr); 1561 PetscFunctionReturn(0); 1562 } 1563