1 /* 2 GAMG geometric-algebric multiogrid PC - Mark Adams 2011 3 */ 4 5 #include <../src/ksp/pc/impls/gamg/gamg.h> /*I "petscpc.h" I*/ 6 #include <petsc-private/kspimpl.h> 7 8 #include <petscblaslapack.h> 9 10 typedef struct { 11 PetscInt nsmooths; 12 PetscBool sym_graph; 13 PetscBool square_graph; 14 } PC_GAMG_AGG; 15 16 #undef __FUNCT__ 17 #define __FUNCT__ "PCGAMGSetNSmooths" 18 /*@ 19 PCGAMGSetNSmooths - Set number of smoothing steps (1 is typical) 20 21 Not Collective on PC 22 23 Input Parameters: 24 . pc - the preconditioner context 25 26 Options Database Key: 27 . -pc_gamg_agg_nsmooths 28 29 Level: intermediate 30 31 Concepts: Aggregation AMG preconditioner 32 33 .seealso: () 34 @*/ 35 PetscErrorCode PCGAMGSetNSmooths(PC pc, PetscInt n) 36 { 37 PetscErrorCode ierr; 38 39 PetscFunctionBegin; 40 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 41 ierr = PetscTryMethod(pc,"PCGAMGSetNSmooths_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 42 PetscFunctionReturn(0); 43 } 44 45 #undef __FUNCT__ 46 #define __FUNCT__ "PCGAMGSetNSmooths_GAMG" 47 PetscErrorCode PCGAMGSetNSmooths_GAMG(PC pc, PetscInt n) 48 { 49 PC_MG *mg = (PC_MG*)pc->data; 50 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 51 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 52 53 PetscFunctionBegin; 54 pc_gamg_agg->nsmooths = n; 55 PetscFunctionReturn(0); 56 } 57 58 #undef __FUNCT__ 59 #define __FUNCT__ "PCGAMGSetSymGraph" 60 /*@ 61 PCGAMGSetSymGraph - 62 63 Not Collective on PC 64 65 Input Parameters: 66 . pc - the preconditioner context 67 68 Options Database Key: 69 . -pc_gamg_sym_graph 70 71 Level: intermediate 72 73 Concepts: Aggregation AMG preconditioner 74 75 .seealso: () 76 @*/ 77 PetscErrorCode PCGAMGSetSymGraph(PC pc, PetscBool n) 78 { 79 PetscErrorCode ierr; 80 81 PetscFunctionBegin; 82 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 83 ierr = PetscTryMethod(pc,"PCGAMGSetSymGraph_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 84 PetscFunctionReturn(0); 85 } 86 87 #undef __FUNCT__ 88 #define __FUNCT__ "PCGAMGSetSymGraph_GAMG" 89 PetscErrorCode PCGAMGSetSymGraph_GAMG(PC pc, PetscBool n) 90 { 91 PC_MG *mg = (PC_MG*)pc->data; 92 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 93 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 94 95 PetscFunctionBegin; 96 pc_gamg_agg->sym_graph = n; 97 PetscFunctionReturn(0); 98 } 99 100 #undef __FUNCT__ 101 #define __FUNCT__ "PCGAMGSetSquareGraph" 102 /*@ 103 PCGAMGSetSquareGraph - 104 105 Not Collective on PC 106 107 Input Parameters: 108 . pc - the preconditioner context 109 110 Options Database Key: 111 . -pc_gamg_square_graph 112 113 Level: intermediate 114 115 Concepts: Aggregation AMG preconditioner 116 117 .seealso: () 118 @*/ 119 PetscErrorCode PCGAMGSetSquareGraph(PC pc, PetscBool n) 120 { 121 PetscErrorCode ierr; 122 123 PetscFunctionBegin; 124 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 125 ierr = PetscTryMethod(pc,"PCGAMGSetSquareGraph_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 126 PetscFunctionReturn(0); 127 } 128 129 #undef __FUNCT__ 130 #define __FUNCT__ "PCGAMGSetSquareGraph_GAMG" 131 PetscErrorCode PCGAMGSetSquareGraph_GAMG(PC pc, PetscBool n) 132 { 133 PC_MG *mg = (PC_MG*)pc->data; 134 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 135 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 136 137 PetscFunctionBegin; 138 pc_gamg_agg->square_graph = n; 139 PetscFunctionReturn(0); 140 } 141 142 /* -------------------------------------------------------------------------- */ 143 /* 144 PCSetFromOptions_GAMG_AGG 145 146 Input Parameter: 147 . pc - 148 */ 149 #undef __FUNCT__ 150 #define __FUNCT__ "PCSetFromOptions_GAMG_AGG" 151 PetscErrorCode PCSetFromOptions_GAMG_AGG(PetscOptions *PetscOptionsObject,PC pc) 152 { 153 PetscErrorCode ierr; 154 PC_MG *mg = (PC_MG*)pc->data; 155 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 156 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 157 158 PetscFunctionBegin; 159 ierr = PetscOptionsHead(PetscOptionsObject,"GAMG-AGG options");CHKERRQ(ierr); 160 { 161 /* -pc_gamg_agg_nsmooths */ 162 pc_gamg_agg->nsmooths = 1; 163 164 ierr = PetscOptionsInt("-pc_gamg_agg_nsmooths","smoothing steps for smoothed aggregation, usually 1","PCGAMGSetNSmooths",pc_gamg_agg->nsmooths,&pc_gamg_agg->nsmooths,NULL);CHKERRQ(ierr); 165 166 /* -pc_gamg_sym_graph */ 167 pc_gamg_agg->sym_graph = PETSC_FALSE; 168 169 ierr = PetscOptionsBool("-pc_gamg_sym_graph","Set for asymmetric matrices","PCGAMGSetSymGraph",pc_gamg_agg->sym_graph,&pc_gamg_agg->sym_graph,NULL);CHKERRQ(ierr); 170 171 /* -pc_gamg_square_graph */ 172 pc_gamg_agg->square_graph = PETSC_TRUE; 173 174 ierr = PetscOptionsBool("-pc_gamg_square_graph","For faster coarsening and lower coarse grid complexity","PCGAMGSetSquareGraph",pc_gamg_agg->square_graph,&pc_gamg_agg->square_graph,NULL);CHKERRQ(ierr); 175 } 176 ierr = PetscOptionsTail();CHKERRQ(ierr); 177 PetscFunctionReturn(0); 178 } 179 180 /* -------------------------------------------------------------------------- */ 181 /* 182 PCDestroy_AGG 183 184 Input Parameter: 185 . pc - 186 */ 187 #undef __FUNCT__ 188 #define __FUNCT__ "PCDestroy_GAMG_AGG" 189 PetscErrorCode PCDestroy_GAMG_AGG(PC pc) 190 { 191 PetscErrorCode ierr; 192 PC_MG *mg = (PC_MG*)pc->data; 193 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 194 195 PetscFunctionBegin; 196 ierr = PetscFree(pc_gamg->subctx);CHKERRQ(ierr); 197 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCSetCoordinates_C",NULL);CHKERRQ(ierr); 198 PetscFunctionReturn(0); 199 } 200 201 /* -------------------------------------------------------------------------- */ 202 /* 203 PCSetCoordinates_AGG 204 - collective 205 206 Input Parameter: 207 . pc - the preconditioner context 208 . ndm - dimesion of data (used for dof/vertex for Stokes) 209 . a_nloc - number of vertices local 210 . coords - [a_nloc][ndm] - interleaved coordinate data: {x_0, y_0, z_0, x_1, y_1, ...} 211 */ 212 213 #undef __FUNCT__ 214 #define __FUNCT__ "PCSetCoordinates_AGG" 215 static PetscErrorCode PCSetCoordinates_AGG(PC pc, PetscInt ndm, PetscInt a_nloc, PetscReal *coords) 216 { 217 PC_MG *mg = (PC_MG*)pc->data; 218 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 219 PetscErrorCode ierr; 220 PetscInt arrsz,kk,ii,jj,nloc,ndatarows,ndf; 221 Mat mat = pc->pmat; 222 223 PetscFunctionBegin; 224 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 225 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 226 nloc = a_nloc; 227 228 /* SA: null space vectors */ 229 ierr = MatGetBlockSize(mat, &ndf);CHKERRQ(ierr); /* this does not work for Stokes */ 230 if (coords && ndf==1) pc_gamg->data_cell_cols = 1; /* scalar w/ coords and SA (not needed) */ 231 else if (coords) { 232 if (ndm > ndf) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"degrees of motion %d > block size %d",ndm,ndf); 233 pc_gamg->data_cell_cols = (ndm==2 ? 3 : 6); /* displacement elasticity */ 234 if (ndm != ndf) { 235 if (pc_gamg->data_cell_cols != ndf) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Don't know how to create null space for ndm=%d, ndf=%d. Use MatSetNearNullSpace.",ndm,ndf); 236 } 237 } else pc_gamg->data_cell_cols = ndf; /* no data, force SA with constant null space vectors */ 238 pc_gamg->data_cell_rows = ndatarows = ndf; 239 if (pc_gamg->data_cell_cols <= 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"pc_gamg->data_cell_cols %D <= 0",pc_gamg->data_cell_cols); 240 arrsz = nloc*pc_gamg->data_cell_rows*pc_gamg->data_cell_cols; 241 242 /* create data - syntactic sugar that should be refactored at some point */ 243 if (pc_gamg->data==0 || (pc_gamg->data_sz != arrsz)) { 244 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 245 ierr = PetscMalloc1(arrsz+1, &pc_gamg->data);CHKERRQ(ierr); 246 } 247 /* copy data in - column oriented */ 248 for (kk=0; kk<nloc; kk++) { 249 const PetscInt M = nloc*pc_gamg->data_cell_rows; /* stride into data */ 250 PetscReal *data = &pc_gamg->data[kk*ndatarows]; /* start of cell */ 251 if (pc_gamg->data_cell_cols==1) *data = 1.0; 252 else { 253 /* translational modes */ 254 for (ii=0;ii<ndatarows;ii++) { 255 for (jj=0;jj<ndatarows;jj++) { 256 if (ii==jj)data[ii*M + jj] = 1.0; 257 else data[ii*M + jj] = 0.0; 258 } 259 } 260 261 /* rotational modes */ 262 if (coords) { 263 if (ndm == 2) { 264 data += 2*M; 265 data[0] = -coords[2*kk+1]; 266 data[1] = coords[2*kk]; 267 } else { 268 data += 3*M; 269 data[0] = 0.0; data[M+0] = coords[3*kk+2]; data[2*M+0] = -coords[3*kk+1]; 270 data[1] = -coords[3*kk+2]; data[M+1] = 0.0; data[2*M+1] = coords[3*kk]; 271 data[2] = coords[3*kk+1]; data[M+2] = -coords[3*kk]; data[2*M+2] = 0.0; 272 } 273 } 274 } 275 } 276 277 pc_gamg->data_sz = arrsz; 278 PetscFunctionReturn(0); 279 } 280 281 typedef PetscInt NState; 282 static const NState NOT_DONE=-2; 283 static const NState DELETED =-1; 284 static const NState REMOVED =-3; 285 #define IS_SELECTED(s) (s!=DELETED && s!=NOT_DONE && s!=REMOVED) 286 287 /* -------------------------------------------------------------------------- */ 288 /* 289 smoothAggs - greedy grab of with G1 (unsquared graph) -- AIJ specific 290 - AGG-MG specific: clears singletons out of 'selected_2' 291 292 Input Parameter: 293 . Gmat_2 - glabal matrix of graph (data not defined) 294 . Gmat_1 - base graph to grab with 295 Input/Output Parameter: 296 . aggs_2 - linked list of aggs with gids) 297 */ 298 #undef __FUNCT__ 299 #define __FUNCT__ "smoothAggs" 300 static PetscErrorCode smoothAggs(const Mat Gmat_2, /* base (squared) graph */ 301 const Mat Gmat_1, /* base graph */ 302 /* const IS selected_2, [nselected local] selected vertices */ 303 PetscCoarsenData *aggs_2) /* [nselected local] global ID of aggregate */ 304 { 305 PetscErrorCode ierr; 306 PetscBool isMPI; 307 Mat_SeqAIJ *matA_1, *matB_1=0, *matA_2, *matB_2=0; 308 MPI_Comm comm; 309 PetscInt lid,*ii,*idx,ix,Iend,my0,kk,n,j; 310 Mat_MPIAIJ *mpimat_2 = 0, *mpimat_1=0; 311 const PetscInt nloc = Gmat_2->rmap->n; 312 PetscScalar *cpcol_1_state,*cpcol_2_state,*cpcol_2_par_orig,*lid_parent_gid; 313 PetscInt *lid_cprowID_1; 314 NState *lid_state; 315 Vec ghost_par_orig2; 316 317 PetscFunctionBegin; 318 ierr = PetscObjectGetComm((PetscObject)Gmat_2,&comm);CHKERRQ(ierr); 319 ierr = MatGetOwnershipRange(Gmat_1,&my0,&Iend);CHKERRQ(ierr); 320 321 if (PETSC_FALSE) { 322 PetscViewer viewer; char fname[32]; static int llev=0; 323 sprintf(fname,"Gmat2_%d.m",llev++); 324 PetscViewerASCIIOpen(comm,fname,&viewer); 325 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 326 ierr = MatView(Gmat_2, viewer);CHKERRQ(ierr); 327 ierr = PetscViewerDestroy(&viewer); 328 } 329 330 /* get submatrices */ 331 ierr = PetscObjectTypeCompare((PetscObject)Gmat_1, MATMPIAIJ, &isMPI);CHKERRQ(ierr); 332 if (isMPI) { 333 /* grab matrix objects */ 334 mpimat_2 = (Mat_MPIAIJ*)Gmat_2->data; 335 mpimat_1 = (Mat_MPIAIJ*)Gmat_1->data; 336 matA_1 = (Mat_SeqAIJ*)mpimat_1->A->data; 337 matB_1 = (Mat_SeqAIJ*)mpimat_1->B->data; 338 matA_2 = (Mat_SeqAIJ*)mpimat_2->A->data; 339 matB_2 = (Mat_SeqAIJ*)mpimat_2->B->data; 340 341 /* force compressed row storage for B matrix in AuxMat */ 342 ierr = MatCheckCompressedRow(mpimat_1->B,matB_1->nonzerorowcnt,&matB_1->compressedrow,matB_1->i,Gmat_1->rmap->n,-1.0);CHKERRQ(ierr); 343 344 ierr = PetscMalloc1(nloc, &lid_cprowID_1);CHKERRQ(ierr); 345 for (lid = 0; lid < nloc; lid++) lid_cprowID_1[lid] = -1; 346 for (ix=0; ix<matB_1->compressedrow.nrows; ix++) { 347 PetscInt lid = matB_1->compressedrow.rindex[ix]; 348 lid_cprowID_1[lid] = ix; 349 } 350 } else { 351 matA_1 = (Mat_SeqAIJ*)Gmat_1->data; 352 matA_2 = (Mat_SeqAIJ*)Gmat_2->data; 353 lid_cprowID_1 = NULL; 354 } 355 if (nloc>0) { 356 if (!(matA_1 && !matA_1->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matA_1 && !matA_1->compressedrow.use)"); 357 if (!(matB_1==0 || matB_1->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matB_1==0 || matB_1->compressedrow.use)"); 358 if (!(matA_2 && !matA_2->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matA_2 && !matA_2->compressedrow.use)"); 359 if (!(matB_2==0 || matB_2->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matB_2==0 || matB_2->compressedrow.use)"); 360 } 361 /* get state of locals and selected gid for deleted */ 362 ierr = PetscMalloc1(nloc, &lid_state);CHKERRQ(ierr); 363 ierr = PetscMalloc1(nloc, &lid_parent_gid);CHKERRQ(ierr); 364 for (lid = 0; lid < nloc; lid++) { 365 lid_parent_gid[lid] = -1.0; 366 lid_state[lid] = DELETED; 367 } 368 369 /* set lid_state */ 370 for (lid = 0; lid < nloc; lid++) { 371 PetscCDPos pos; 372 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 373 if (pos) { 374 PetscInt gid1; 375 376 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 377 if (gid1 != lid+my0) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"gid1 %D != lid %D + my0 %D",gid1,lid,my0); 378 lid_state[lid] = gid1; 379 } 380 } 381 382 /* map local to selected local, DELETED means a ghost owns it */ 383 for (lid=kk=0; lid<nloc; lid++) { 384 NState state = lid_state[lid]; 385 if (IS_SELECTED(state)) { 386 PetscCDPos pos; 387 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 388 while (pos) { 389 PetscInt gid1; 390 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 391 ierr = PetscCDGetNextPos(aggs_2,lid,&pos);CHKERRQ(ierr); 392 393 if (gid1 >= my0 && gid1 < Iend) lid_parent_gid[gid1-my0] = (PetscScalar)(lid + my0); 394 } 395 } 396 } 397 /* get 'cpcol_1/2_state' & cpcol_2_par_orig - uses mpimat_1/2->lvec for temp space */ 398 if (isMPI) { 399 Vec tempVec; 400 /* get 'cpcol_1_state' */ 401 ierr = MatCreateVecs(Gmat_1, &tempVec, 0);CHKERRQ(ierr); 402 for (kk=0,j=my0; kk<nloc; kk++,j++) { 403 PetscScalar v = (PetscScalar)lid_state[kk]; 404 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 405 } 406 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 407 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 408 ierr = VecScatterBegin(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 409 ierr = VecScatterEnd(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 410 ierr = VecGetArray(mpimat_1->lvec, &cpcol_1_state);CHKERRQ(ierr); 411 /* get 'cpcol_2_state' */ 412 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 413 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 414 ierr = VecGetArray(mpimat_2->lvec, &cpcol_2_state);CHKERRQ(ierr); 415 /* get 'cpcol_2_par_orig' */ 416 for (kk=0,j=my0; kk<nloc; kk++,j++) { 417 PetscScalar v = (PetscScalar)lid_parent_gid[kk]; 418 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 419 } 420 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 421 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 422 ierr = VecDuplicate(mpimat_2->lvec, &ghost_par_orig2);CHKERRQ(ierr); 423 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghost_par_orig2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 424 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghost_par_orig2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 425 ierr = VecGetArray(ghost_par_orig2, &cpcol_2_par_orig);CHKERRQ(ierr); 426 427 ierr = VecDestroy(&tempVec);CHKERRQ(ierr); 428 } /* ismpi */ 429 430 /* doit */ 431 for (lid=0; lid<nloc; lid++) { 432 NState state = lid_state[lid]; 433 if (IS_SELECTED(state)) { 434 /* steal locals */ 435 ii = matA_1->i; n = ii[lid+1] - ii[lid]; 436 idx = matA_1->j + ii[lid]; 437 for (j=0; j<n; j++) { 438 PetscInt lidj = idx[j], sgid; 439 NState statej = lid_state[lidj]; 440 if (statej==DELETED && (sgid=(PetscInt)PetscRealPart(lid_parent_gid[lidj])) != lid+my0) { /* steal local */ 441 lid_parent_gid[lidj] = (PetscScalar)(lid+my0); /* send this if sgid is not local */ 442 if (sgid >= my0 && sgid < Iend) { /* I'm stealing this local from a local sgid */ 443 PetscInt hav=0,slid=sgid-my0,gidj=lidj+my0; 444 PetscCDPos pos,last=NULL; 445 /* looking for local from local so id_llist_2 works */ 446 ierr = PetscCDGetHeadPos(aggs_2,slid,&pos);CHKERRQ(ierr); 447 while (pos) { 448 PetscInt gid; 449 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 450 if (gid == gidj) { 451 if (!last) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"last cannot be null"); 452 ierr = PetscCDRemoveNextNode(aggs_2, slid, last);CHKERRQ(ierr); 453 ierr = PetscCDAppendNode(aggs_2, lid, pos);CHKERRQ(ierr); 454 hav = 1; 455 break; 456 } else last = pos; 457 458 ierr = PetscCDGetNextPos(aggs_2,slid,&pos);CHKERRQ(ierr); 459 } 460 if (hav!=1) { 461 if (!hav) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); 462 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"found node %d times???",hav); 463 } 464 } else { /* I'm stealing this local, owned by a ghost */ 465 if (sgid != -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Have un-symmetric graph (apparently). Use '-pc_gamg_sym_graph true' to symetrize the graph or '-pc_gamg_threshold 0.0' if the matrix is structurally symmetric."); 466 ierr = PetscCDAppendID(aggs_2, lid, lidj+my0);CHKERRQ(ierr); 467 } 468 } 469 } /* local neighbors */ 470 } else if (state == DELETED && lid_cprowID_1) { 471 PetscInt sgidold = (PetscInt)PetscRealPart(lid_parent_gid[lid]); 472 /* see if I have a selected ghost neighbor that will steal me */ 473 if ((ix=lid_cprowID_1[lid]) != -1) { 474 ii = matB_1->compressedrow.i; n = ii[ix+1] - ii[ix]; 475 idx = matB_1->j + ii[ix]; 476 for (j=0; j<n; j++) { 477 PetscInt cpid = idx[j]; 478 NState statej = (NState)PetscRealPart(cpcol_1_state[cpid]); 479 if (IS_SELECTED(statej) && sgidold != (PetscInt)statej) { /* ghost will steal this, remove from my list */ 480 lid_parent_gid[lid] = (PetscScalar)statej; /* send who selected */ 481 if (sgidold>=my0 && sgidold<Iend) { /* this was mine */ 482 PetscInt hav=0,oldslidj=sgidold-my0; 483 PetscCDPos pos,last=NULL; 484 /* remove from 'oldslidj' list */ 485 ierr = PetscCDGetHeadPos(aggs_2,oldslidj,&pos);CHKERRQ(ierr); 486 while (pos) { 487 PetscInt gid; 488 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 489 if (lid+my0 == gid) { 490 /* id_llist_2[lastid] = id_llist_2[flid]; /\* remove lid from oldslidj list *\/ */ 491 if (!last) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"last cannot be null"); 492 ierr = PetscCDRemoveNextNode(aggs_2, oldslidj, last);CHKERRQ(ierr); 493 /* ghost (PetscScalar)statej will add this later */ 494 hav = 1; 495 break; 496 } else last = pos; 497 498 ierr = PetscCDGetNextPos(aggs_2,oldslidj,&pos);CHKERRQ(ierr); 499 } 500 if (hav!=1) { 501 if (hav==0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); 502 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"found node %d times???",hav); 503 } 504 } else { 505 /* ghosts remove this later */ 506 } 507 } 508 } 509 } 510 } /* selected/deleted */ 511 } /* node loop */ 512 513 if (isMPI) { 514 PetscScalar *cpcol_2_parent,*cpcol_2_gid; 515 Vec tempVec,ghostgids2,ghostparents2; 516 PetscInt cpid,nghost_2; 517 GAMGHashTable gid_cpid; 518 519 ierr = VecGetSize(mpimat_2->lvec, &nghost_2);CHKERRQ(ierr); 520 ierr = MatCreateVecs(Gmat_2, &tempVec, 0);CHKERRQ(ierr); 521 522 /* get 'cpcol_2_parent' */ 523 for (kk=0,j=my0; kk<nloc; kk++,j++) { 524 ierr = VecSetValues(tempVec, 1, &j, &lid_parent_gid[kk], INSERT_VALUES);CHKERRQ(ierr); 525 } 526 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 527 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 528 ierr = VecDuplicate(mpimat_2->lvec, &ghostparents2);CHKERRQ(ierr); 529 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghostparents2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 530 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghostparents2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 531 ierr = VecGetArray(ghostparents2, &cpcol_2_parent);CHKERRQ(ierr); 532 533 /* get 'cpcol_2_gid' */ 534 for (kk=0,j=my0; kk<nloc; kk++,j++) { 535 PetscScalar v = (PetscScalar)j; 536 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 537 } 538 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 539 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 540 ierr = VecDuplicate(mpimat_2->lvec, &ghostgids2);CHKERRQ(ierr); 541 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghostgids2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 542 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghostgids2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 543 ierr = VecGetArray(ghostgids2, &cpcol_2_gid);CHKERRQ(ierr); 544 545 ierr = VecDestroy(&tempVec);CHKERRQ(ierr); 546 547 /* look for deleted ghosts and add to table */ 548 ierr = GAMGTableCreate(2*nghost_2+1, &gid_cpid);CHKERRQ(ierr); 549 for (cpid = 0; cpid < nghost_2; cpid++) { 550 NState state = (NState)PetscRealPart(cpcol_2_state[cpid]); 551 if (state==DELETED) { 552 PetscInt sgid_new = (PetscInt)PetscRealPart(cpcol_2_parent[cpid]); 553 PetscInt sgid_old = (PetscInt)PetscRealPart(cpcol_2_par_orig[cpid]); 554 if (sgid_old == -1 && sgid_new != -1) { 555 PetscInt gid = (PetscInt)PetscRealPart(cpcol_2_gid[cpid]); 556 ierr = GAMGTableAdd(&gid_cpid, gid, cpid);CHKERRQ(ierr); 557 } 558 } 559 } 560 561 /* look for deleted ghosts and see if they moved - remove it */ 562 for (lid=0; lid<nloc; lid++) { 563 NState state = lid_state[lid]; 564 if (IS_SELECTED(state)) { 565 PetscCDPos pos,last=NULL; 566 /* look for deleted ghosts and see if they moved */ 567 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 568 while (pos) { 569 PetscInt gid; 570 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 571 572 if (gid < my0 || gid >= Iend) { 573 ierr = GAMGTableFind(&gid_cpid, gid, &cpid);CHKERRQ(ierr); 574 if (cpid != -1) { 575 /* a moved ghost - */ 576 /* id_llist_2[lastid] = id_llist_2[flid]; /\* remove 'flid' from list *\/ */ 577 ierr = PetscCDRemoveNextNode(aggs_2, lid, last);CHKERRQ(ierr); 578 } else last = pos; 579 } else last = pos; 580 581 ierr = PetscCDGetNextPos(aggs_2,lid,&pos);CHKERRQ(ierr); 582 } /* loop over list of deleted */ 583 } /* selected */ 584 } 585 ierr = GAMGTableDestroy(&gid_cpid);CHKERRQ(ierr); 586 587 /* look at ghosts, see if they changed - and it */ 588 for (cpid = 0; cpid < nghost_2; cpid++) { 589 PetscInt sgid_new = (PetscInt)PetscRealPart(cpcol_2_parent[cpid]); 590 if (sgid_new >= my0 && sgid_new < Iend) { /* this is mine */ 591 PetscInt gid = (PetscInt)PetscRealPart(cpcol_2_gid[cpid]); 592 PetscInt slid_new=sgid_new-my0,hav=0; 593 PetscCDPos pos; 594 /* search for this gid to see if I have it */ 595 ierr = PetscCDGetHeadPos(aggs_2,slid_new,&pos);CHKERRQ(ierr); 596 while (pos) { 597 PetscInt gidj; 598 ierr = PetscLLNGetID(pos, &gidj);CHKERRQ(ierr); 599 ierr = PetscCDGetNextPos(aggs_2,slid_new,&pos);CHKERRQ(ierr); 600 601 if (gidj == gid) { hav = 1; break; } 602 } 603 if (hav != 1) { 604 /* insert 'flidj' into head of llist */ 605 ierr = PetscCDAppendID(aggs_2, slid_new, gid);CHKERRQ(ierr); 606 } 607 } 608 } 609 610 ierr = VecRestoreArray(mpimat_1->lvec, &cpcol_1_state);CHKERRQ(ierr); 611 ierr = VecRestoreArray(mpimat_2->lvec, &cpcol_2_state);CHKERRQ(ierr); 612 ierr = VecRestoreArray(ghostparents2, &cpcol_2_parent);CHKERRQ(ierr); 613 ierr = VecRestoreArray(ghostgids2, &cpcol_2_gid);CHKERRQ(ierr); 614 ierr = PetscFree(lid_cprowID_1);CHKERRQ(ierr); 615 ierr = VecDestroy(&ghostgids2);CHKERRQ(ierr); 616 ierr = VecDestroy(&ghostparents2);CHKERRQ(ierr); 617 ierr = VecDestroy(&ghost_par_orig2);CHKERRQ(ierr); 618 } 619 620 ierr = PetscFree(lid_parent_gid);CHKERRQ(ierr); 621 ierr = PetscFree(lid_state);CHKERRQ(ierr); 622 PetscFunctionReturn(0); 623 } 624 625 /* -------------------------------------------------------------------------- */ 626 /* 627 PCSetData_AGG - called if data is not set with PCSetCoordinates. 628 Looks in Mat for near null space. 629 Does not work for Stokes 630 631 Input Parameter: 632 . pc - 633 . a_A - matrix to get (near) null space out of. 634 */ 635 #undef __FUNCT__ 636 #define __FUNCT__ "PCSetData_AGG" 637 PetscErrorCode PCSetData_AGG(PC pc, Mat a_A) 638 { 639 PetscErrorCode ierr; 640 PC_MG *mg = (PC_MG*)pc->data; 641 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 642 MatNullSpace mnull; 643 644 PetscFunctionBegin; 645 ierr = MatGetNearNullSpace(a_A, &mnull);CHKERRQ(ierr); 646 if (!mnull) { 647 PetscInt bs,NN,MM; 648 ierr = MatGetBlockSize(a_A, &bs);CHKERRQ(ierr); 649 ierr = MatGetLocalSize(a_A, &MM, &NN);CHKERRQ(ierr); 650 if (MM % bs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"MM %D must be divisible by bs %D",MM,bs); 651 ierr = PCSetCoordinates_AGG(pc, bs, MM/bs, NULL);CHKERRQ(ierr); 652 } else { 653 PetscReal *nullvec; 654 PetscBool has_const; 655 PetscInt i,j,mlocal,nvec,bs; 656 const Vec *vecs; const PetscScalar *v; 657 ierr = MatGetLocalSize(a_A,&mlocal,NULL);CHKERRQ(ierr); 658 ierr = MatNullSpaceGetVecs(mnull, &has_const, &nvec, &vecs);CHKERRQ(ierr); 659 pc_gamg->data_sz = (nvec+!!has_const)*mlocal; 660 ierr = PetscMalloc1((nvec+!!has_const)*mlocal,&nullvec);CHKERRQ(ierr); 661 if (has_const) for (i=0; i<mlocal; i++) nullvec[i] = 1.0; 662 for (i=0; i<nvec; i++) { 663 ierr = VecGetArrayRead(vecs[i],&v);CHKERRQ(ierr); 664 for (j=0; j<mlocal; j++) nullvec[(i+!!has_const)*mlocal + j] = PetscRealPart(v[j]); 665 ierr = VecRestoreArrayRead(vecs[i],&v);CHKERRQ(ierr); 666 } 667 pc_gamg->data = nullvec; 668 pc_gamg->data_cell_cols = (nvec+!!has_const); 669 670 ierr = MatGetBlockSize(a_A, &bs);CHKERRQ(ierr); 671 672 pc_gamg->data_cell_rows = bs; 673 } 674 PetscFunctionReturn(0); 675 } 676 677 /* -------------------------------------------------------------------------- */ 678 /* 679 formProl0 680 681 Input Parameter: 682 . agg_llists - list of arrays with aggregates 683 . bs - block size 684 . nSAvec - column bs of new P 685 . my0crs - global index of start of locals 686 . data_stride - bs*(nloc nodes + ghost nodes) 687 . data_in[data_stride*nSAvec] - local data on fine grid 688 . flid_fgid[data_stride/bs] - make local to global IDs, includes ghosts in 'locals_llist' 689 Output Parameter: 690 . a_data_out - in with fine grid data (w/ghosts), out with coarse grid data 691 . a_Prol - prolongation operator 692 */ 693 #undef __FUNCT__ 694 #define __FUNCT__ "formProl0" 695 static PetscErrorCode formProl0(const PetscCoarsenData *agg_llists, /* list from selected vertices of aggregate unselected vertices */ 696 const PetscInt bs, /* (row) block size */ 697 const PetscInt nSAvec, /* column bs */ 698 const PetscInt my0crs, /* global index of start of locals */ 699 const PetscInt data_stride, /* (nloc+nghost)*bs */ 700 PetscReal data_in[], /* [data_stride][nSAvec] */ 701 const PetscInt flid_fgid[], /* [data_stride/bs] */ 702 PetscReal **a_data_out, 703 Mat a_Prol) /* prolongation operator (output)*/ 704 { 705 PetscErrorCode ierr; 706 PetscInt Istart,my0,Iend,nloc,clid,flid,aggID,kk,jj,ii,mm,ndone,nSelected,minsz,nghosts,out_data_stride; 707 MPI_Comm comm; 708 PetscMPIInt rank; 709 PetscReal *out_data; 710 PetscCDPos pos; 711 GAMGHashTable fgid_flid; 712 713 /* #define OUT_AGGS */ 714 #if defined(OUT_AGGS) 715 static PetscInt llev = 0; char fname[32]; FILE *file = NULL; PetscInt pM; 716 #endif 717 718 PetscFunctionBegin; 719 ierr = PetscObjectGetComm((PetscObject)a_Prol,&comm);CHKERRQ(ierr); 720 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 721 ierr = MatGetOwnershipRange(a_Prol, &Istart, &Iend);CHKERRQ(ierr); 722 nloc = (Iend-Istart)/bs; my0 = Istart/bs; 723 if ((Iend-Istart) % bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Iend %D - Istart %d must be divisible by bs %D",Iend,Istart,bs); 724 Iend /= bs; 725 nghosts = data_stride/bs - nloc; 726 727 ierr = GAMGTableCreate(2*nghosts+1, &fgid_flid);CHKERRQ(ierr); 728 for (kk=0; kk<nghosts; kk++) { 729 ierr = GAMGTableAdd(&fgid_flid, flid_fgid[nloc+kk], nloc+kk);CHKERRQ(ierr); 730 } 731 732 #if defined(OUT_AGGS) 733 sprintf(fname,"aggs_%d_%d.m",llev++,rank); 734 if (llev==1) file = fopen(fname,"w"); 735 MatGetSize(a_Prol, &pM, &jj); 736 #endif 737 738 /* count selected -- same as number of cols of P */ 739 for (nSelected=mm=0; mm<nloc; mm++) { 740 PetscBool ise; 741 ierr = PetscCDEmptyAt(agg_llists, mm, &ise);CHKERRQ(ierr); 742 if (!ise) nSelected++; 743 } 744 ierr = MatGetOwnershipRangeColumn(a_Prol, &ii, &jj);CHKERRQ(ierr); 745 if ((ii/nSAvec) != my0crs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"ii %D /nSAvec %D != my0crs %D",ii,nSAvec,my0crs); 746 if (nSelected != (jj-ii)/nSAvec) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_PLIB,"nSelected %D != (jj %D - ii %D)/nSAvec %D",nSelected,jj,ii,nSAvec); 747 748 /* aloc space for coarse point data (output) */ 749 out_data_stride = nSelected*nSAvec; 750 751 ierr = PetscMalloc1(out_data_stride*nSAvec, &out_data);CHKERRQ(ierr); 752 for (ii=0;ii<out_data_stride*nSAvec;ii++) out_data[ii]=PETSC_MAX_REAL; 753 *a_data_out = out_data; /* output - stride nSelected*nSAvec */ 754 755 /* find points and set prolongation */ 756 minsz = 100; 757 ndone = 0; 758 for (mm = clid = 0; mm < nloc; mm++) { 759 ierr = PetscCDSizeAt(agg_llists, mm, &jj);CHKERRQ(ierr); 760 if (jj > 0) { 761 const PetscInt lid = mm, cgid = my0crs + clid; 762 PetscInt cids[100]; /* max bs */ 763 PetscBLASInt asz =jj,M=asz*bs,N=nSAvec,INFO; 764 PetscBLASInt Mdata=M+((N-M>0) ? N-M : 0),LDA=Mdata,LWORK=N*bs; 765 PetscScalar *qqc,*qqr,*TAU,*WORK; 766 PetscInt *fids; 767 PetscReal *data; 768 /* count agg */ 769 if (asz<minsz) minsz = asz; 770 771 /* get block */ 772 ierr = PetscMalloc1(Mdata*N, &qqc);CHKERRQ(ierr); 773 ierr = PetscMalloc1(M*N, &qqr);CHKERRQ(ierr); 774 ierr = PetscMalloc1(N, &TAU);CHKERRQ(ierr); 775 ierr = PetscMalloc1(LWORK, &WORK);CHKERRQ(ierr); 776 ierr = PetscMalloc1(M, &fids);CHKERRQ(ierr); 777 778 aggID = 0; 779 ierr = PetscCDGetHeadPos(agg_llists,lid,&pos);CHKERRQ(ierr); 780 while (pos) { 781 PetscInt gid1; 782 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 783 ierr = PetscCDGetNextPos(agg_llists,lid,&pos);CHKERRQ(ierr); 784 785 if (gid1 >= my0 && gid1 < Iend) flid = gid1 - my0; 786 else { 787 ierr = GAMGTableFind(&fgid_flid, gid1, &flid);CHKERRQ(ierr); 788 if (flid < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Cannot find gid1 in table"); 789 } 790 /* copy in B_i matrix - column oriented */ 791 data = &data_in[flid*bs]; 792 for (kk = ii = 0; ii < bs; ii++) { 793 for (jj = 0; jj < N; jj++) { 794 PetscReal d = data[jj*data_stride + ii]; 795 qqc[jj*Mdata + aggID*bs + ii] = d; 796 } 797 } 798 #if defined(OUT_AGGS) 799 if (llev==1) { 800 char str[] = "plot(%e,%e,'r*'), hold on,\n", col[] = "rgbkmc", sim[] = "*os+h>d<vx^"; 801 PetscInt MM,pi,pj; 802 str[12] = col[(clid+17*rank)%6]; str[13] = sim[(clid+17*rank)%11]; 803 MM = (PetscInt)(PetscSqrtReal((PetscReal)pM)); 804 pj = gid1/MM; pi = gid1%MM; 805 fprintf(file,str,(double)pi,(double)pj); 806 /* fprintf(file,str,data[2*data_stride+1],-data[2*data_stride]); */ 807 } 808 #endif 809 /* set fine IDs */ 810 for (kk=0; kk<bs; kk++) fids[aggID*bs + kk] = flid_fgid[flid]*bs + kk; 811 812 aggID++; 813 } 814 815 /* pad with zeros */ 816 for (ii = asz*bs; ii < Mdata; ii++) { 817 for (jj = 0; jj < N; jj++, kk++) { 818 qqc[jj*Mdata + ii] = .0; 819 } 820 } 821 822 ndone += aggID; 823 /* QR */ 824 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 825 PetscStackCallBLAS("LAPACKgeqrf",LAPACKgeqrf_(&Mdata, &N, qqc, &LDA, TAU, WORK, &LWORK, &INFO)); 826 ierr = PetscFPTrapPop();CHKERRQ(ierr); 827 if (INFO != 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"xGEQRF error"); 828 /* get R - column oriented - output B_{i+1} */ 829 { 830 PetscReal *data = &out_data[clid*nSAvec]; 831 for (jj = 0; jj < nSAvec; jj++) { 832 for (ii = 0; ii < nSAvec; ii++) { 833 if (data[jj*out_data_stride + ii] != PETSC_MAX_REAL) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"data[jj*out_data_stride + ii] != %e",PETSC_MAX_REAL); 834 if (ii <= jj) data[jj*out_data_stride + ii] = PetscRealPart(qqc[jj*Mdata + ii]); 835 else data[jj*out_data_stride + ii] = 0.; 836 } 837 } 838 } 839 840 /* get Q - row oriented */ 841 PetscStackCallBLAS("LAPACKungqr",LAPACKungqr_(&Mdata, &N, &N, qqc, &LDA, TAU, WORK, &LWORK, &INFO)); 842 if (INFO != 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"xORGQR error arg %d",-INFO); 843 844 for (ii = 0; ii < M; ii++) { 845 for (jj = 0; jj < N; jj++) { 846 qqr[N*ii + jj] = qqc[jj*Mdata + ii]; 847 } 848 } 849 850 /* add diagonal block of P0 */ 851 for (kk=0; kk<N; kk++) { 852 cids[kk] = N*cgid + kk; /* global col IDs in P0 */ 853 } 854 ierr = MatSetValues(a_Prol,M,fids,N,cids,qqr,INSERT_VALUES);CHKERRQ(ierr); 855 856 ierr = PetscFree(qqc);CHKERRQ(ierr); 857 ierr = PetscFree(qqr);CHKERRQ(ierr); 858 ierr = PetscFree(TAU);CHKERRQ(ierr); 859 ierr = PetscFree(WORK);CHKERRQ(ierr); 860 ierr = PetscFree(fids);CHKERRQ(ierr); 861 clid++; 862 } /* coarse agg */ 863 } /* for all fine nodes */ 864 ierr = MatAssemblyBegin(a_Prol,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 865 ierr = MatAssemblyEnd(a_Prol,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 866 867 /* ierr = MPI_Allreduce(&ndone, &ii, 1, MPIU_INT, MPIU_SUM, comm); */ 868 /* MatGetSize(a_Prol, &kk, &jj); */ 869 /* ierr = MPI_Allreduce(&minsz, &jj, 1, MPIU_INT, MPIU_MIN, comm); */ 870 /* PetscPrintf(comm," **** [%d]%s %d total done, %d nodes (%d local done), min agg. size = %d\n",rank,__FUNCT__,ii,kk/bs,ndone,jj); */ 871 872 #if defined(OUT_AGGS) 873 if (llev==1) fclose(file); 874 #endif 875 ierr = GAMGTableDestroy(&fgid_flid);CHKERRQ(ierr); 876 PetscFunctionReturn(0); 877 } 878 879 #undef __FUNCT__ 880 #define __FUNCT__ "PCView_GAMG_AGG" 881 static PetscErrorCode PCView_GAMG_AGG(PC pc,PetscViewer viewer) 882 { 883 PetscErrorCode ierr; 884 PC_MG *mg = (PC_MG*)pc->data; 885 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 886 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 887 888 PetscFunctionBegin; 889 ierr = PetscViewerASCIIPrintf(viewer," AGG specific options\n");CHKERRQ(ierr); 890 ierr = PetscViewerASCIIPrintf(viewer," Symmetric graph %s\n",pc_gamg_agg->sym_graph ? "true" : "false");CHKERRQ(ierr); 891 PetscFunctionReturn(0); 892 } 893 894 /* -------------------------------------------------------------------------- */ 895 /* 896 PCGAMGGraph_AGG 897 898 Input Parameter: 899 . pc - this 900 . Amat - matrix on this fine level 901 Output Parameter: 902 . a_Gmat - 903 */ 904 #undef __FUNCT__ 905 #define __FUNCT__ "PCGAMGGraph_AGG" 906 PetscErrorCode PCGAMGGraph_AGG(PC pc,const Mat Amat,Mat *a_Gmat) 907 { 908 PetscErrorCode ierr; 909 PC_MG *mg = (PC_MG*)pc->data; 910 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 911 const PetscInt verbose = pc_gamg->verbose; 912 const PetscReal vfilter = pc_gamg->threshold; 913 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 914 Mat Gmat; 915 MPI_Comm comm; 916 PetscBool /* set,flg , */ symm; 917 918 PetscFunctionBegin; 919 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 920 ierr = PetscLogEventBegin(PC_GAMGGraph_AGG,0,0,0,0);CHKERRQ(ierr); 921 922 /* ierr = MatIsSymmetricKnown(Amat, &set, &flg);CHKERRQ(ierr); || !(set && flg) -- this causes lot of symm calls */ 923 symm = (PetscBool)(pc_gamg_agg->sym_graph); /* && !pc_gamg_agg->square_graph; */ 924 925 ierr = PCGAMGCreateGraph(Amat, &Gmat);CHKERRQ(ierr); 926 ierr = PCGAMGFilterGraph(&Gmat, vfilter, symm, verbose);CHKERRQ(ierr); 927 928 *a_Gmat = Gmat; 929 930 ierr = PetscLogEventEnd(PC_GAMGGraph_AGG,0,0,0,0);CHKERRQ(ierr); 931 PetscFunctionReturn(0); 932 } 933 934 /* -------------------------------------------------------------------------- */ 935 /* 936 PCGAMGCoarsen_AGG 937 938 Input Parameter: 939 . a_pc - this 940 Input/Output Parameter: 941 . a_Gmat1 - graph on this fine level - coarsening can change this (squares it) 942 Output Parameter: 943 . agg_lists - list of aggregates 944 */ 945 #undef __FUNCT__ 946 #define __FUNCT__ "PCGAMGCoarsen_AGG" 947 PetscErrorCode PCGAMGCoarsen_AGG(PC a_pc,Mat *a_Gmat1,PetscCoarsenData **agg_lists) 948 { 949 PetscErrorCode ierr; 950 PC_MG *mg = (PC_MG*)a_pc->data; 951 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 952 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 953 Mat mat,Gmat2, Gmat1 = *a_Gmat1; /* squared graph */ 954 const PetscInt verbose = pc_gamg->verbose; 955 IS perm; 956 PetscInt Ii,nloc,bs,n,m; 957 PetscInt *permute; 958 PetscBool *bIndexSet; 959 MatCoarsen crs; 960 MPI_Comm comm; 961 PetscMPIInt rank; 962 963 PetscFunctionBegin; 964 ierr = PetscLogEventBegin(PC_GAMGCoarsen_AGG,0,0,0,0);CHKERRQ(ierr); 965 ierr = PetscObjectGetComm((PetscObject)Gmat1,&comm);CHKERRQ(ierr); 966 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 967 ierr = MatGetLocalSize(Gmat1, &n, &m);CHKERRQ(ierr); 968 ierr = MatGetBlockSize(Gmat1, &bs);CHKERRQ(ierr); 969 if (bs != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"bs %D must be 1",bs); 970 nloc = n/bs; 971 972 if (pc_gamg->firstCoarsen && pc_gamg_agg->square_graph) { /* we don't want to square coarse grids */ 973 if (verbose > 1) PetscPrintf(comm,"[%d]%s square graph\n",rank,__FUNCT__); 974 /* ierr = MatMatTransposeMult(Gmat1, Gmat1, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2); */ 975 ierr = MatTransposeMatMult(Gmat1, Gmat1, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2);CHKERRQ(ierr); 976 if (verbose > 2) { 977 ierr = PetscPrintf(comm,"[%d]%s square graph done\n",rank,__FUNCT__);CHKERRQ(ierr); 978 /* check for symetry */ 979 if (verbose > 4) { 980 981 } 982 } 983 } else Gmat2 = Gmat1; 984 985 /* get MIS aggs */ 986 /* randomize */ 987 ierr = PetscMalloc1(nloc, &permute);CHKERRQ(ierr); 988 ierr = PetscMalloc1(nloc, &bIndexSet);CHKERRQ(ierr); 989 for (Ii = 0; Ii < nloc; Ii++) { 990 bIndexSet[Ii] = PETSC_FALSE; 991 permute[Ii] = Ii; 992 } 993 srand(1); /* make deterministic */ 994 for (Ii = 0; Ii < nloc; Ii++) { 995 PetscInt iSwapIndex = rand()%nloc; 996 if (!bIndexSet[iSwapIndex] && iSwapIndex != Ii) { 997 PetscInt iTemp = permute[iSwapIndex]; 998 permute[iSwapIndex] = permute[Ii]; 999 permute[Ii] = iTemp; 1000 bIndexSet[iSwapIndex] = PETSC_TRUE; 1001 } 1002 } 1003 ierr = PetscFree(bIndexSet);CHKERRQ(ierr); 1004 1005 if (verbose > 1) PetscPrintf(comm,"[%d]%s coarsen graph\n",rank,__FUNCT__); 1006 1007 ierr = ISCreateGeneral(PETSC_COMM_SELF, nloc, permute, PETSC_USE_POINTER, &perm);CHKERRQ(ierr); 1008 #if defined PETSC_GAMG_USE_LOG 1009 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); 1010 #endif 1011 ierr = MatCoarsenCreate(comm, &crs);CHKERRQ(ierr); 1012 /* ierr = MatCoarsenSetType(crs, MATCOARSENMIS);CHKERRQ(ierr); */ 1013 ierr = MatCoarsenSetFromOptions(crs);CHKERRQ(ierr); 1014 ierr = MatCoarsenSetGreedyOrdering(crs, perm);CHKERRQ(ierr); 1015 ierr = MatCoarsenSetAdjacency(crs, Gmat2);CHKERRQ(ierr); 1016 ierr = MatCoarsenSetVerbose(crs, pc_gamg->verbose);CHKERRQ(ierr); 1017 ierr = MatCoarsenSetStrictAggs(crs, PETSC_TRUE);CHKERRQ(ierr); 1018 ierr = MatCoarsenApply(crs);CHKERRQ(ierr); 1019 ierr = MatCoarsenGetData(crs, agg_lists);CHKERRQ(ierr); /* output */ 1020 ierr = MatCoarsenDestroy(&crs);CHKERRQ(ierr); 1021 1022 ierr = ISDestroy(&perm);CHKERRQ(ierr); 1023 ierr = PetscFree(permute);CHKERRQ(ierr); 1024 #if defined PETSC_GAMG_USE_LOG 1025 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); 1026 #endif 1027 if (verbose > 2) PetscPrintf(comm,"[%d]%s coarsen graph done\n",rank,__FUNCT__); 1028 1029 /* smooth aggs */ 1030 if (Gmat2 != Gmat1) { 1031 const PetscCoarsenData *llist = *agg_lists; 1032 ierr = smoothAggs(Gmat2, Gmat1, *agg_lists);CHKERRQ(ierr); 1033 ierr = MatDestroy(&Gmat1);CHKERRQ(ierr); 1034 *a_Gmat1 = Gmat2; /* output */ 1035 ierr = PetscCDGetMat(llist, &mat);CHKERRQ(ierr); 1036 if (mat) SETERRQ(comm,PETSC_ERR_ARG_WRONG, "Auxilary matrix with squared graph????"); 1037 } else { 1038 const PetscCoarsenData *llist = *agg_lists; 1039 /* see if we have a matrix that takes precedence (returned from MatCoarsenAppply) */ 1040 ierr = PetscCDGetMat(llist, &mat);CHKERRQ(ierr); 1041 if (mat) { 1042 ierr = MatDestroy(&Gmat1);CHKERRQ(ierr); 1043 *a_Gmat1 = mat; /* output */ 1044 } 1045 } 1046 ierr = PetscLogEventEnd(PC_GAMGCoarsen_AGG,0,0,0,0);CHKERRQ(ierr); 1047 if (verbose > 2) PetscPrintf(comm,"[%d]%s PCGAMGCoarsen_AGG done\n",rank,__FUNCT__); 1048 PetscFunctionReturn(0); 1049 } 1050 1051 /* -------------------------------------------------------------------------- */ 1052 /* 1053 PCGAMGProlongator_AGG 1054 1055 Input Parameter: 1056 . pc - this 1057 . Amat - matrix on this fine level 1058 . Graph - used to get ghost data for nodes in 1059 . agg_lists - list of aggregates 1060 Output Parameter: 1061 . a_P_out - prolongation operator to the next level 1062 */ 1063 #undef __FUNCT__ 1064 #define __FUNCT__ "PCGAMGProlongator_AGG" 1065 PetscErrorCode PCGAMGProlongator_AGG(PC pc,const Mat Amat,const Mat Gmat,PetscCoarsenData *agg_lists,Mat *a_P_out) 1066 { 1067 PC_MG *mg = (PC_MG*)pc->data; 1068 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1069 const PetscInt verbose = pc_gamg->verbose; 1070 const PetscInt data_cols = pc_gamg->data_cell_cols; 1071 PetscErrorCode ierr; 1072 PetscInt Istart,Iend,nloc,ii,jj,kk,my0,nLocalSelected,bs; 1073 Mat Prol; 1074 PetscMPIInt rank, size; 1075 MPI_Comm comm; 1076 const PetscInt col_bs = data_cols; 1077 PetscReal *data_w_ghost; 1078 PetscInt myCrs0, nbnodes=0, *flid_fgid; 1079 1080 PetscFunctionBegin; 1081 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 1082 ierr = PetscLogEventBegin(PC_GAMGProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1083 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 1084 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 1085 ierr = MatGetOwnershipRange(Amat, &Istart, &Iend);CHKERRQ(ierr); 1086 ierr = MatGetBlockSize(Amat, &bs);CHKERRQ(ierr); 1087 nloc = (Iend-Istart)/bs; my0 = Istart/bs; 1088 if ((Iend-Istart) % bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"(Iend %D - Istart %D) not divisible by bs %D",Iend,Istart,bs); 1089 1090 /* get 'nLocalSelected' */ 1091 for (ii=0, nLocalSelected = 0; ii < nloc; ii++) { 1092 PetscBool ise; 1093 /* filter out singletons 0 or 1? */ 1094 ierr = PetscCDEmptyAt(agg_lists, ii, &ise);CHKERRQ(ierr); 1095 if (!ise) nLocalSelected++; 1096 } 1097 1098 /* create prolongator, create P matrix */ 1099 ierr = MatCreate(comm, &Prol);CHKERRQ(ierr); 1100 ierr = MatSetSizes(Prol,nloc*bs,nLocalSelected*col_bs,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 1101 ierr = MatSetBlockSizes(Prol, bs, col_bs);CHKERRQ(ierr); 1102 ierr = MatSetType(Prol, MATAIJ);CHKERRQ(ierr); 1103 ierr = MatSeqAIJSetPreallocation(Prol, data_cols, NULL);CHKERRQ(ierr); 1104 ierr = MatMPIAIJSetPreallocation(Prol,data_cols, NULL,data_cols, NULL);CHKERRQ(ierr); 1105 /* nloc*bs, nLocalSelected*col_bs, */ 1106 /* PETSC_DETERMINE, PETSC_DETERMINE, */ 1107 /* data_cols, NULL, data_cols, NULL, */ 1108 /* &Prol); */ 1109 1110 /* can get all points "removed" */ 1111 ierr = MatGetSize(Prol, &kk, &ii);CHKERRQ(ierr); 1112 if (ii==0) { 1113 if (verbose > 0) PetscPrintf(comm,"[%d]%s no selected points on coarse grid\n",rank,__FUNCT__); 1114 ierr = MatDestroy(&Prol);CHKERRQ(ierr); 1115 *a_P_out = NULL; /* out */ 1116 PetscFunctionReturn(0); 1117 } 1118 if (verbose > 0) PetscPrintf(comm,"\t\t[%d]%s New grid %d nodes\n",rank,__FUNCT__,ii/col_bs); 1119 ierr = MatGetOwnershipRangeColumn(Prol, &myCrs0, &kk);CHKERRQ(ierr); 1120 1121 if ((kk-myCrs0) % col_bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"(kk %D -myCrs0 %D) not divisible by col_bs %D",kk,myCrs0,col_bs); 1122 myCrs0 = myCrs0/col_bs; 1123 if ((kk/col_bs-myCrs0) != nLocalSelected) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_PLIB,"(kk %D/col_bs %D - myCrs0 %D) != nLocalSelected %D)",kk,col_bs,myCrs0,nLocalSelected); 1124 1125 /* create global vector of data in 'data_w_ghost' */ 1126 #if defined PETSC_GAMG_USE_LOG 1127 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET7],0,0,0,0);CHKERRQ(ierr); 1128 #endif 1129 if (size > 1) { /* */ 1130 PetscReal *tmp_gdata,*tmp_ldata,*tp2; 1131 ierr = PetscMalloc1(nloc, &tmp_ldata);CHKERRQ(ierr); 1132 for (jj = 0; jj < data_cols; jj++) { 1133 for (kk = 0; kk < bs; kk++) { 1134 PetscInt ii,stride; 1135 const PetscReal *tp = pc_gamg->data + jj*bs*nloc + kk; 1136 for (ii = 0; ii < nloc; ii++, tp += bs) tmp_ldata[ii] = *tp; 1137 1138 ierr = PCGAMGGetDataWithGhosts(Gmat, 1, tmp_ldata, &stride, &tmp_gdata);CHKERRQ(ierr); 1139 1140 if (jj==0 && kk==0) { /* now I know how many todal nodes - allocate */ 1141 ierr = PetscMalloc1(stride*bs*data_cols, &data_w_ghost);CHKERRQ(ierr); 1142 nbnodes = bs*stride; 1143 } 1144 tp2 = data_w_ghost + jj*bs*stride + kk; 1145 for (ii = 0; ii < stride; ii++, tp2 += bs) *tp2 = tmp_gdata[ii]; 1146 ierr = PetscFree(tmp_gdata);CHKERRQ(ierr); 1147 } 1148 } 1149 ierr = PetscFree(tmp_ldata);CHKERRQ(ierr); 1150 } else { 1151 nbnodes = bs*nloc; 1152 data_w_ghost = (PetscReal*)pc_gamg->data; 1153 } 1154 1155 /* get P0 */ 1156 if (size > 1) { 1157 PetscReal *fid_glid_loc,*fiddata; 1158 PetscInt stride; 1159 1160 ierr = PetscMalloc1(nloc, &fid_glid_loc);CHKERRQ(ierr); 1161 for (kk=0; kk<nloc; kk++) fid_glid_loc[kk] = (PetscReal)(my0+kk); 1162 ierr = PCGAMGGetDataWithGhosts(Gmat, 1, fid_glid_loc, &stride, &fiddata);CHKERRQ(ierr); 1163 ierr = PetscMalloc1(stride, &flid_fgid);CHKERRQ(ierr); 1164 for (kk=0; kk<stride; kk++) flid_fgid[kk] = (PetscInt)fiddata[kk]; 1165 ierr = PetscFree(fiddata);CHKERRQ(ierr); 1166 1167 if (stride != nbnodes/bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"stride %D != nbnodes %D/bs %D",stride,nbnodes,bs); 1168 ierr = PetscFree(fid_glid_loc);CHKERRQ(ierr); 1169 } else { 1170 ierr = PetscMalloc1(nloc, &flid_fgid);CHKERRQ(ierr); 1171 for (kk=0; kk<nloc; kk++) flid_fgid[kk] = my0 + kk; 1172 } 1173 #if defined PETSC_GAMG_USE_LOG 1174 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET7],0,0,0,0);CHKERRQ(ierr); 1175 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); 1176 #endif 1177 { 1178 PetscReal *data_out = NULL; 1179 ierr = formProl0(agg_lists, bs, data_cols, myCrs0, nbnodes,data_w_ghost, flid_fgid, &data_out, Prol);CHKERRQ(ierr); 1180 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 1181 1182 pc_gamg->data = data_out; 1183 pc_gamg->data_cell_rows = data_cols; 1184 pc_gamg->data_sz = data_cols*data_cols*nLocalSelected; 1185 } 1186 #if defined PETSC_GAMG_USE_LOG 1187 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); 1188 #endif 1189 if (size > 1) ierr = PetscFree(data_w_ghost);CHKERRQ(ierr); 1190 ierr = PetscFree(flid_fgid);CHKERRQ(ierr); 1191 1192 *a_P_out = Prol; /* out */ 1193 1194 ierr = PetscLogEventEnd(PC_GAMGProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1195 PetscFunctionReturn(0); 1196 } 1197 1198 /* -------------------------------------------------------------------------- */ 1199 /* 1200 PCGAMGOptProlongator_AGG 1201 1202 Input Parameter: 1203 . pc - this 1204 . Amat - matrix on this fine level 1205 In/Output Parameter: 1206 . a_P_out - prolongation operator to the next level 1207 */ 1208 #undef __FUNCT__ 1209 #define __FUNCT__ "PCGAMGOptProlongator_AGG" 1210 PetscErrorCode PCGAMGOptProlongator_AGG(PC pc,const Mat Amat,Mat *a_P) 1211 { 1212 PetscErrorCode ierr; 1213 PC_MG *mg = (PC_MG*)pc->data; 1214 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1215 const PetscInt verbose = pc_gamg->verbose; 1216 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 1217 PetscInt jj; 1218 Mat Prol = *a_P; 1219 MPI_Comm comm; 1220 1221 PetscFunctionBegin; 1222 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 1223 ierr = PetscLogEventBegin(PC_GAMGOptProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1224 1225 /* smooth P0 */ 1226 for (jj = 0; jj < pc_gamg_agg->nsmooths; jj++) { 1227 Mat tMat; 1228 Vec diag; 1229 PetscReal alpha, emax, emin; 1230 #if defined PETSC_GAMG_USE_LOG 1231 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); 1232 #endif 1233 if (jj == 0) { 1234 KSP eksp; 1235 Vec bb, xx; 1236 PC epc; 1237 ierr = MatCreateVecs(Amat, &bb, 0);CHKERRQ(ierr); 1238 ierr = MatCreateVecs(Amat, &xx, 0);CHKERRQ(ierr); 1239 { 1240 PetscRandom rctx; 1241 ierr = PetscRandomCreate(comm,&rctx);CHKERRQ(ierr); 1242 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 1243 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 1244 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 1245 } 1246 1247 /* zeroing out BC rows -- needed for crazy matrices */ 1248 { 1249 PetscInt Istart,Iend,ncols,jj,Ii; 1250 PetscScalar zero = 0.0; 1251 ierr = MatGetOwnershipRange(Amat, &Istart, &Iend);CHKERRQ(ierr); 1252 for (Ii = Istart, jj = 0; Ii < Iend; Ii++, jj++) { 1253 ierr = MatGetRow(Amat,Ii,&ncols,0,0);CHKERRQ(ierr); 1254 if (ncols <= 1) { 1255 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 1256 } 1257 ierr = MatRestoreRow(Amat,Ii,&ncols,0,0);CHKERRQ(ierr); 1258 } 1259 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 1260 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 1261 } 1262 1263 ierr = KSPCreate(comm,&eksp);CHKERRQ(ierr); 1264 ierr = KSPSetTolerances(eksp,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT,10);CHKERRQ(ierr); 1265 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 1266 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 1267 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 1268 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 1269 1270 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 1271 ierr = KSPSetOperators(eksp, Amat, Amat);CHKERRQ(ierr); 1272 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 1273 1274 ierr = KSPGetPC(eksp, &epc);CHKERRQ(ierr); 1275 ierr = PCSetType(epc, PCJACOBI);CHKERRQ(ierr); /* smoother in smoothed agg. */ 1276 1277 /* solve - keep stuff out of logging */ 1278 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 1279 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 1280 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 1281 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 1282 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 1283 1284 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 1285 if (verbose > 0) { 1286 PetscPrintf(comm,"\t\t\t%s smooth P0: max eigen=%e min=%e PC=%s\n", 1287 __FUNCT__,emax,emin,PCJACOBI); 1288 } 1289 ierr = VecDestroy(&xx);CHKERRQ(ierr); 1290 ierr = VecDestroy(&bb);CHKERRQ(ierr); 1291 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 1292 1293 if (pc_gamg->emax_id == -1) { 1294 ierr = PetscObjectComposedDataRegister(&pc_gamg->emax_id);CHKERRQ(ierr); 1295 if (pc_gamg->emax_id == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"pc_gamg->emax_id == -1"); 1296 } 1297 ierr = PetscObjectComposedDataSetScalar((PetscObject)Amat, pc_gamg->emax_id, emax);CHKERRQ(ierr); 1298 } 1299 1300 /* smooth P1 := (I - omega/lam D^{-1}A)P0 */ 1301 ierr = MatMatMult(Amat, Prol, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &tMat);CHKERRQ(ierr); 1302 ierr = MatCreateVecs(Amat, &diag, 0);CHKERRQ(ierr); 1303 ierr = MatGetDiagonal(Amat, diag);CHKERRQ(ierr); /* effectively PCJACOBI */ 1304 ierr = VecReciprocal(diag);CHKERRQ(ierr); 1305 ierr = MatDiagonalScale(tMat, diag, 0);CHKERRQ(ierr); 1306 ierr = VecDestroy(&diag);CHKERRQ(ierr); 1307 alpha = -1.4/emax; 1308 ierr = MatAYPX(tMat, alpha, Prol, SUBSET_NONZERO_PATTERN);CHKERRQ(ierr); 1309 ierr = MatDestroy(&Prol);CHKERRQ(ierr); 1310 Prol = tMat; 1311 #if defined PETSC_GAMG_USE_LOG 1312 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); 1313 #endif 1314 } 1315 ierr = PetscLogEventEnd(PC_GAMGOptProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1316 *a_P = Prol; 1317 PetscFunctionReturn(0); 1318 } 1319 1320 /* -------------------------------------------------------------------------- */ 1321 /* 1322 PCCreateGAMG_AGG 1323 1324 Input Parameter: 1325 . pc - 1326 */ 1327 #undef __FUNCT__ 1328 #define __FUNCT__ "PCCreateGAMG_AGG" 1329 PetscErrorCode PCCreateGAMG_AGG(PC pc) 1330 { 1331 PetscErrorCode ierr; 1332 PC_MG *mg = (PC_MG*)pc->data; 1333 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1334 PC_GAMG_AGG *pc_gamg_agg; 1335 1336 PetscFunctionBegin; 1337 /* create sub context for SA */ 1338 ierr = PetscNewLog(pc,&pc_gamg_agg);CHKERRQ(ierr); 1339 pc_gamg->subctx = pc_gamg_agg; 1340 1341 pc_gamg->ops->setfromoptions = PCSetFromOptions_GAMG_AGG; 1342 pc_gamg->ops->destroy = PCDestroy_GAMG_AGG; 1343 /* reset does not do anything; setup not virtual */ 1344 1345 /* set internal function pointers */ 1346 pc_gamg->ops->graph = PCGAMGGraph_AGG; 1347 pc_gamg->ops->coarsen = PCGAMGCoarsen_AGG; 1348 pc_gamg->ops->prolongator = PCGAMGProlongator_AGG; 1349 pc_gamg->ops->optprolongator = PCGAMGOptProlongator_AGG; 1350 pc_gamg->ops->createdefaultdata = PCSetData_AGG; 1351 pc_gamg->ops->view = PCView_GAMG_AGG; 1352 1353 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCSetCoordinates_C",PCSetCoordinates_AGG);CHKERRQ(ierr); 1354 PetscFunctionReturn(0); 1355 } 1356