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(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 PetscBool flag; 158 159 PetscFunctionBegin; 160 161 ierr = PetscOptionsHead("GAMG-AGG options");CHKERRQ(ierr); 162 { 163 /* -pc_gamg_agg_nsmooths */ 164 pc_gamg_agg->nsmooths = 1; 165 166 ierr = PetscOptionsInt("-pc_gamg_agg_nsmooths", 167 "smoothing steps for smoothed aggregation, usually 1 (0)", 168 "PCGAMGSetNSmooths", 169 pc_gamg_agg->nsmooths, 170 &pc_gamg_agg->nsmooths, 171 &flag);CHKERRQ(ierr); 172 173 /* -pc_gamg_sym_graph */ 174 pc_gamg_agg->sym_graph = PETSC_FALSE; 175 176 ierr = PetscOptionsBool("-pc_gamg_sym_graph", 177 "Set for asymmetric matrices", 178 "PCGAMGSetSymGraph", 179 pc_gamg_agg->sym_graph, 180 &pc_gamg_agg->sym_graph, 181 &flag);CHKERRQ(ierr); 182 183 /* -pc_gamg_square_graph */ 184 pc_gamg_agg->square_graph = PETSC_TRUE; 185 186 ierr = PetscOptionsBool("-pc_gamg_square_graph", 187 "For faster coarsening and lower coarse grid complexity", 188 "PCGAMGSetSquareGraph", 189 pc_gamg_agg->square_graph, 190 &pc_gamg_agg->square_graph, 191 &flag);CHKERRQ(ierr); 192 } 193 ierr = PetscOptionsTail();CHKERRQ(ierr); 194 PetscFunctionReturn(0); 195 } 196 197 /* -------------------------------------------------------------------------- */ 198 /* 199 PCDestroy_AGG 200 201 Input Parameter: 202 . pc - 203 */ 204 #undef __FUNCT__ 205 #define __FUNCT__ "PCDestroy_GAMG_AGG" 206 PetscErrorCode PCDestroy_GAMG_AGG(PC pc) 207 { 208 PetscErrorCode ierr; 209 PC_MG *mg = (PC_MG*)pc->data; 210 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 211 212 PetscFunctionBegin; 213 ierr = PetscFree(pc_gamg->subctx);CHKERRQ(ierr); 214 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCSetCoordinates_C",NULL);CHKERRQ(ierr); 215 PetscFunctionReturn(0); 216 } 217 218 /* -------------------------------------------------------------------------- */ 219 /* 220 PCSetCoordinates_AGG 221 - collective 222 223 Input Parameter: 224 . pc - the preconditioner context 225 . ndm - dimesion of data (used for dof/vertex for Stokes) 226 . a_nloc - number of vertices local 227 . coords - [a_nloc][ndm] - interleaved coordinate data: {x_0, y_0, z_0, x_1, y_1, ...} 228 */ 229 230 #undef __FUNCT__ 231 #define __FUNCT__ "PCSetCoordinates_AGG" 232 static PetscErrorCode PCSetCoordinates_AGG(PC pc, PetscInt ndm, PetscInt a_nloc, PetscReal *coords) 233 { 234 PC_MG *mg = (PC_MG*)pc->data; 235 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 236 PetscErrorCode ierr; 237 PetscInt arrsz,kk,ii,jj,nloc,ndatarows,ndf; 238 Mat mat = pc->pmat; 239 240 PetscFunctionBegin; 241 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 242 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 243 nloc = a_nloc; 244 245 /* SA: null space vectors */ 246 ierr = MatGetBlockSize(mat, &ndf);CHKERRQ(ierr); /* this does not work for Stokes */ 247 if (coords && ndf==1) pc_gamg->data_cell_cols = 1; /* scalar w/ coords and SA (not needed) */ 248 else if (coords) { 249 if (ndm > ndf) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"degrees of motion %d > block size %d",ndm,ndf); 250 pc_gamg->data_cell_cols = (ndm==2 ? 3 : 6); /* displacement elasticity */ 251 if (ndm != ndf) { 252 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); 253 } 254 } else pc_gamg->data_cell_cols = ndf; /* no data, force SA with constant null space vectors */ 255 pc_gamg->data_cell_rows = ndatarows = ndf; 256 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); 257 arrsz = nloc*pc_gamg->data_cell_rows*pc_gamg->data_cell_cols; 258 259 /* create data - syntactic sugar that should be refactored at some point */ 260 if (pc_gamg->data==0 || (pc_gamg->data_sz != arrsz)) { 261 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 262 ierr = PetscMalloc1((arrsz+1), &pc_gamg->data);CHKERRQ(ierr); 263 } 264 /* copy data in - column oriented */ 265 for (kk=0; kk<nloc; kk++) { 266 const PetscInt M = nloc*pc_gamg->data_cell_rows; /* stride into data */ 267 PetscReal *data = &pc_gamg->data[kk*ndatarows]; /* start of cell */ 268 if (pc_gamg->data_cell_cols==1) *data = 1.0; 269 else { 270 /* translational modes */ 271 for (ii=0;ii<ndatarows;ii++) { 272 for (jj=0;jj<ndatarows;jj++) { 273 if (ii==jj)data[ii*M + jj] = 1.0; 274 else data[ii*M + jj] = 0.0; 275 } 276 } 277 278 /* rotational modes */ 279 if (coords) { 280 if (ndm == 2) { 281 data += 2*M; 282 data[0] = -coords[2*kk+1]; 283 data[1] = coords[2*kk]; 284 } else { 285 data += 3*M; 286 data[0] = 0.0; data[M+0] = coords[3*kk+2]; data[2*M+0] = -coords[3*kk+1]; 287 data[1] = -coords[3*kk+2]; data[M+1] = 0.0; data[2*M+1] = coords[3*kk]; 288 data[2] = coords[3*kk+1]; data[M+2] = -coords[3*kk]; data[2*M+2] = 0.0; 289 } 290 } 291 } 292 } 293 294 pc_gamg->data_sz = arrsz; 295 PetscFunctionReturn(0); 296 } 297 298 typedef PetscInt NState; 299 static const NState NOT_DONE=-2; 300 static const NState DELETED =-1; 301 static const NState REMOVED =-3; 302 #define IS_SELECTED(s) (s!=DELETED && s!=NOT_DONE && s!=REMOVED) 303 304 /* -------------------------------------------------------------------------- */ 305 /* 306 smoothAggs - greedy grab of with G1 (unsquared graph) -- AIJ specific 307 - AGG-MG specific: clears singletons out of 'selected_2' 308 309 Input Parameter: 310 . Gmat_2 - glabal matrix of graph (data not defined) 311 . Gmat_1 - base graph to grab with 312 Input/Output Parameter: 313 . aggs_2 - linked list of aggs with gids) 314 */ 315 #undef __FUNCT__ 316 #define __FUNCT__ "smoothAggs" 317 static PetscErrorCode smoothAggs(const Mat Gmat_2, /* base (squared) graph */ 318 const Mat Gmat_1, /* base graph */ 319 /* const IS selected_2, [nselected local] selected vertices */ 320 PetscCoarsenData *aggs_2) /* [nselected local] global ID of aggregate */ 321 { 322 PetscErrorCode ierr; 323 PetscBool isMPI; 324 Mat_SeqAIJ *matA_1, *matB_1=0, *matA_2, *matB_2=0; 325 MPI_Comm comm; 326 PetscMPIInt rank,size; 327 PetscInt lid,*ii,*idx,ix,Iend,my0,kk,n,j; 328 Mat_MPIAIJ *mpimat_2 = 0, *mpimat_1=0; 329 const PetscInt nloc = Gmat_2->rmap->n; 330 PetscScalar *cpcol_1_state,*cpcol_2_state,*cpcol_2_par_orig,*lid_parent_gid; 331 PetscInt *lid_cprowID_1; 332 NState *lid_state; 333 Vec ghost_par_orig2; 334 335 PetscFunctionBegin; 336 ierr = PetscObjectGetComm((PetscObject)Gmat_2,&comm);CHKERRQ(ierr); 337 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 338 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 339 ierr = MatGetOwnershipRange(Gmat_1,&my0,&Iend);CHKERRQ(ierr); 340 341 if (PETSC_FALSE) { 342 PetscViewer viewer; char fname[32]; static int llev=0; 343 sprintf(fname,"Gmat2_%d.m",llev++); 344 PetscViewerASCIIOpen(comm,fname,&viewer); 345 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 346 ierr = MatView(Gmat_2, viewer);CHKERRQ(ierr); 347 ierr = PetscViewerDestroy(&viewer); 348 } 349 350 /* get submatrices */ 351 ierr = PetscObjectTypeCompare((PetscObject)Gmat_1, MATMPIAIJ, &isMPI);CHKERRQ(ierr); 352 if (isMPI) { 353 /* grab matrix objects */ 354 mpimat_2 = (Mat_MPIAIJ*)Gmat_2->data; 355 mpimat_1 = (Mat_MPIAIJ*)Gmat_1->data; 356 matA_1 = (Mat_SeqAIJ*)mpimat_1->A->data; 357 matB_1 = (Mat_SeqAIJ*)mpimat_1->B->data; 358 matA_2 = (Mat_SeqAIJ*)mpimat_2->A->data; 359 matB_2 = (Mat_SeqAIJ*)mpimat_2->B->data; 360 361 /* force compressed row storage for B matrix in AuxMat */ 362 ierr = MatCheckCompressedRow(mpimat_1->B,matB_1->nonzerorowcnt,&matB_1->compressedrow,matB_1->i,Gmat_1->rmap->n,-1.0);CHKERRQ(ierr); 363 364 ierr = PetscMalloc1(nloc, &lid_cprowID_1);CHKERRQ(ierr); 365 for (lid = 0; lid < nloc; lid++) lid_cprowID_1[lid] = -1; 366 for (ix=0; ix<matB_1->compressedrow.nrows; ix++) { 367 PetscInt lid = matB_1->compressedrow.rindex[ix]; 368 lid_cprowID_1[lid] = ix; 369 } 370 } else { 371 matA_1 = (Mat_SeqAIJ*)Gmat_1->data; 372 matA_2 = (Mat_SeqAIJ*)Gmat_2->data; 373 lid_cprowID_1 = NULL; 374 } 375 if (nloc>0) { 376 if (!(matA_1 && !matA_1->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matA_1 && !matA_1->compressedrow.use)"); 377 if (!(matB_1==0 || matB_1->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matB_1==0 || matB_1->compressedrow.use)"); 378 if (!(matA_2 && !matA_2->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matA_2 && !matA_2->compressedrow.use)"); 379 if (!(matB_2==0 || matB_2->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matB_2==0 || matB_2->compressedrow.use)"); 380 } 381 /* get state of locals and selected gid for deleted */ 382 ierr = PetscMalloc1(nloc, &lid_state);CHKERRQ(ierr); 383 ierr = PetscMalloc1(nloc, &lid_parent_gid);CHKERRQ(ierr); 384 for (lid = 0; lid < nloc; lid++) { 385 lid_parent_gid[lid] = -1.0; 386 lid_state[lid] = DELETED; 387 } 388 389 /* set lid_state */ 390 for (lid = 0; lid < nloc; lid++) { 391 PetscCDPos pos; 392 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 393 if (pos) { 394 PetscInt gid1; 395 396 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 397 if (gid1 != lid+my0) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"gid1 %D != lid %D + my0 %D",gid1,lid,my0); 398 lid_state[lid] = gid1; 399 } 400 } 401 402 /* map local to selected local, DELETED means a ghost owns it */ 403 for (lid=kk=0; lid<nloc; lid++) { 404 NState state = lid_state[lid]; 405 if (IS_SELECTED(state)) { 406 PetscCDPos pos; 407 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 408 while (pos) { 409 PetscInt gid1; 410 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 411 ierr = PetscCDGetNextPos(aggs_2,lid,&pos);CHKERRQ(ierr); 412 413 if (gid1 >= my0 && gid1 < Iend) lid_parent_gid[gid1-my0] = (PetscScalar)(lid + my0); 414 } 415 } 416 } 417 /* get 'cpcol_1/2_state' & cpcol_2_par_orig - uses mpimat_1/2->lvec for temp space */ 418 if (isMPI) { 419 Vec tempVec; 420 /* get 'cpcol_1_state' */ 421 ierr = MatGetVecs(Gmat_1, &tempVec, 0);CHKERRQ(ierr); 422 for (kk=0,j=my0; kk<nloc; kk++,j++) { 423 PetscScalar v = (PetscScalar)lid_state[kk]; 424 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 425 } 426 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 427 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 428 ierr = VecScatterBegin(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 429 ierr = VecScatterEnd(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 430 ierr = VecGetArray(mpimat_1->lvec, &cpcol_1_state);CHKERRQ(ierr); 431 /* get 'cpcol_2_state' */ 432 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 433 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 434 ierr = VecGetArray(mpimat_2->lvec, &cpcol_2_state);CHKERRQ(ierr); 435 /* get 'cpcol_2_par_orig' */ 436 for (kk=0,j=my0; kk<nloc; kk++,j++) { 437 PetscScalar v = (PetscScalar)lid_parent_gid[kk]; 438 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 439 } 440 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 441 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 442 ierr = VecDuplicate(mpimat_2->lvec, &ghost_par_orig2);CHKERRQ(ierr); 443 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghost_par_orig2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 444 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghost_par_orig2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 445 ierr = VecGetArray(ghost_par_orig2, &cpcol_2_par_orig);CHKERRQ(ierr); 446 447 ierr = VecDestroy(&tempVec);CHKERRQ(ierr); 448 } /* ismpi */ 449 450 /* doit */ 451 for (lid=0; lid<nloc; lid++) { 452 NState state = lid_state[lid]; 453 if (IS_SELECTED(state)) { 454 /* steal locals */ 455 ii = matA_1->i; n = ii[lid+1] - ii[lid]; 456 idx = matA_1->j + ii[lid]; 457 for (j=0; j<n; j++) { 458 PetscInt lidj = idx[j], sgid; 459 NState statej = lid_state[lidj]; 460 if (statej==DELETED && (sgid=(PetscInt)PetscRealPart(lid_parent_gid[lidj])) != lid+my0) { /* steal local */ 461 lid_parent_gid[lidj] = (PetscScalar)(lid+my0); /* send this if sgid is not local */ 462 if (sgid >= my0 && sgid < Iend) { /* I'm stealing this local from a local sgid */ 463 PetscInt hav=0,slid=sgid-my0,gidj=lidj+my0; 464 PetscCDPos pos,last=NULL; 465 /* looking for local from local so id_llist_2 works */ 466 ierr = PetscCDGetHeadPos(aggs_2,slid,&pos);CHKERRQ(ierr); 467 while (pos) { 468 PetscInt gid; 469 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 470 if (gid == gidj) { 471 if (!last) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"last cannot be null"); 472 ierr = PetscCDRemoveNextNode(aggs_2, slid, last);CHKERRQ(ierr); 473 ierr = PetscCDAppendNode(aggs_2, lid, pos);CHKERRQ(ierr); 474 hav = 1; 475 break; 476 } else last = pos; 477 478 ierr = PetscCDGetNextPos(aggs_2,slid,&pos);CHKERRQ(ierr); 479 } 480 if (hav!=1) { 481 if (!hav) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); 482 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"found node %d times???",hav); 483 } 484 } else { /* I'm stealing this local, owned by a ghost */ 485 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."); 486 ierr = PetscCDAppendID(aggs_2, lid, lidj+my0);CHKERRQ(ierr); 487 } 488 } 489 } /* local neighbors */ 490 } else if (state == DELETED && lid_cprowID_1) { 491 PetscInt sgidold = (PetscInt)PetscRealPart(lid_parent_gid[lid]); 492 /* see if I have a selected ghost neighbor that will steal me */ 493 if ((ix=lid_cprowID_1[lid]) != -1) { 494 ii = matB_1->compressedrow.i; n = ii[ix+1] - ii[ix]; 495 idx = matB_1->j + ii[ix]; 496 for (j=0; j<n; j++) { 497 PetscInt cpid = idx[j]; 498 NState statej = (NState)PetscRealPart(cpcol_1_state[cpid]); 499 if (IS_SELECTED(statej) && sgidold != (PetscInt)statej) { /* ghost will steal this, remove from my list */ 500 lid_parent_gid[lid] = (PetscScalar)statej; /* send who selected */ 501 if (sgidold>=my0 && sgidold<Iend) { /* this was mine */ 502 PetscInt hav=0,oldslidj=sgidold-my0; 503 PetscCDPos pos,last=NULL; 504 /* remove from 'oldslidj' list */ 505 ierr = PetscCDGetHeadPos(aggs_2,oldslidj,&pos);CHKERRQ(ierr); 506 while (pos) { 507 PetscInt gid; 508 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 509 if (lid+my0 == gid) { 510 /* id_llist_2[lastid] = id_llist_2[flid]; /\* remove lid from oldslidj list *\/ */ 511 if (!last) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"last cannot be null"); 512 ierr = PetscCDRemoveNextNode(aggs_2, oldslidj, last);CHKERRQ(ierr); 513 /* ghost (PetscScalar)statej will add this later */ 514 hav = 1; 515 break; 516 } else last = pos; 517 518 ierr = PetscCDGetNextPos(aggs_2,oldslidj,&pos);CHKERRQ(ierr); 519 } 520 if (hav!=1) { 521 if (hav==0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); 522 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"found node %d times???",hav); 523 } 524 } else { 525 /* ghosts remove this later */ 526 } 527 } 528 } 529 } 530 } /* selected/deleted */ 531 } /* node loop */ 532 533 if (isMPI) { 534 PetscScalar *cpcol_2_parent,*cpcol_2_gid; 535 Vec tempVec,ghostgids2,ghostparents2; 536 PetscInt cpid,nghost_2; 537 GAMGHashTable gid_cpid; 538 539 ierr = VecGetSize(mpimat_2->lvec, &nghost_2);CHKERRQ(ierr); 540 ierr = MatGetVecs(Gmat_2, &tempVec, 0);CHKERRQ(ierr); 541 542 /* get 'cpcol_2_parent' */ 543 for (kk=0,j=my0; kk<nloc; kk++,j++) { 544 ierr = VecSetValues(tempVec, 1, &j, &lid_parent_gid[kk], INSERT_VALUES);CHKERRQ(ierr); 545 } 546 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 547 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 548 ierr = VecDuplicate(mpimat_2->lvec, &ghostparents2);CHKERRQ(ierr); 549 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghostparents2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 550 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghostparents2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 551 ierr = VecGetArray(ghostparents2, &cpcol_2_parent);CHKERRQ(ierr); 552 553 /* get 'cpcol_2_gid' */ 554 for (kk=0,j=my0; kk<nloc; kk++,j++) { 555 PetscScalar v = (PetscScalar)j; 556 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 557 } 558 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 559 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 560 ierr = VecDuplicate(mpimat_2->lvec, &ghostgids2);CHKERRQ(ierr); 561 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghostgids2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 562 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghostgids2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 563 ierr = VecGetArray(ghostgids2, &cpcol_2_gid);CHKERRQ(ierr); 564 565 ierr = VecDestroy(&tempVec);CHKERRQ(ierr); 566 567 /* look for deleted ghosts and add to table */ 568 ierr = GAMGTableCreate(2*nghost_2+1, &gid_cpid);CHKERRQ(ierr); 569 for (cpid = 0; cpid < nghost_2; cpid++) { 570 NState state = (NState)PetscRealPart(cpcol_2_state[cpid]); 571 if (state==DELETED) { 572 PetscInt sgid_new = (PetscInt)PetscRealPart(cpcol_2_parent[cpid]); 573 PetscInt sgid_old = (PetscInt)PetscRealPart(cpcol_2_par_orig[cpid]); 574 if (sgid_old == -1 && sgid_new != -1) { 575 PetscInt gid = (PetscInt)PetscRealPart(cpcol_2_gid[cpid]); 576 ierr = GAMGTableAdd(&gid_cpid, gid, cpid);CHKERRQ(ierr); 577 } 578 } 579 } 580 581 /* look for deleted ghosts and see if they moved - remove it */ 582 for (lid=0; lid<nloc; lid++) { 583 NState state = lid_state[lid]; 584 if (IS_SELECTED(state)) { 585 PetscCDPos pos,last=NULL; 586 /* look for deleted ghosts and see if they moved */ 587 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 588 while (pos) { 589 PetscInt gid; 590 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 591 592 if (gid < my0 || gid >= Iend) { 593 ierr = GAMGTableFind(&gid_cpid, gid, &cpid);CHKERRQ(ierr); 594 if (cpid != -1) { 595 /* a moved ghost - */ 596 /* id_llist_2[lastid] = id_llist_2[flid]; /\* remove 'flid' from list *\/ */ 597 ierr = PetscCDRemoveNextNode(aggs_2, lid, last);CHKERRQ(ierr); 598 } else last = pos; 599 } else last = pos; 600 601 ierr = PetscCDGetNextPos(aggs_2,lid,&pos);CHKERRQ(ierr); 602 } /* loop over list of deleted */ 603 } /* selected */ 604 } 605 ierr = GAMGTableDestroy(&gid_cpid);CHKERRQ(ierr); 606 607 /* look at ghosts, see if they changed - and it */ 608 for (cpid = 0; cpid < nghost_2; cpid++) { 609 PetscInt sgid_new = (PetscInt)PetscRealPart(cpcol_2_parent[cpid]); 610 if (sgid_new >= my0 && sgid_new < Iend) { /* this is mine */ 611 PetscInt gid = (PetscInt)PetscRealPart(cpcol_2_gid[cpid]); 612 PetscInt slid_new=sgid_new-my0,hav=0; 613 PetscCDPos pos; 614 /* search for this gid to see if I have it */ 615 ierr = PetscCDGetHeadPos(aggs_2,slid_new,&pos);CHKERRQ(ierr); 616 while (pos) { 617 PetscInt gidj; 618 ierr = PetscLLNGetID(pos, &gidj);CHKERRQ(ierr); 619 ierr = PetscCDGetNextPos(aggs_2,slid_new,&pos);CHKERRQ(ierr); 620 621 if (gidj == gid) { hav = 1; break; } 622 } 623 if (hav != 1) { 624 /* insert 'flidj' into head of llist */ 625 ierr = PetscCDAppendID(aggs_2, slid_new, gid);CHKERRQ(ierr); 626 } 627 } 628 } 629 630 ierr = VecRestoreArray(mpimat_1->lvec, &cpcol_1_state);CHKERRQ(ierr); 631 ierr = VecRestoreArray(mpimat_2->lvec, &cpcol_2_state);CHKERRQ(ierr); 632 ierr = VecRestoreArray(ghostparents2, &cpcol_2_parent);CHKERRQ(ierr); 633 ierr = VecRestoreArray(ghostgids2, &cpcol_2_gid);CHKERRQ(ierr); 634 ierr = PetscFree(lid_cprowID_1);CHKERRQ(ierr); 635 ierr = VecDestroy(&ghostgids2);CHKERRQ(ierr); 636 ierr = VecDestroy(&ghostparents2);CHKERRQ(ierr); 637 ierr = VecDestroy(&ghost_par_orig2);CHKERRQ(ierr); 638 } 639 640 ierr = PetscFree(lid_parent_gid);CHKERRQ(ierr); 641 ierr = PetscFree(lid_state);CHKERRQ(ierr); 642 PetscFunctionReturn(0); 643 } 644 645 /* -------------------------------------------------------------------------- */ 646 /* 647 PCSetData_AGG - called if data is not set with PCSetCoordinates. 648 Looks in Mat for near null space. 649 Does not work for Stokes 650 651 Input Parameter: 652 . pc - 653 . a_A - matrix to get (near) null space out of. 654 */ 655 #undef __FUNCT__ 656 #define __FUNCT__ "PCSetData_AGG" 657 PetscErrorCode PCSetData_AGG(PC pc, Mat a_A) 658 { 659 PetscErrorCode ierr; 660 PC_MG *mg = (PC_MG*)pc->data; 661 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 662 MatNullSpace mnull; 663 664 PetscFunctionBegin; 665 ierr = MatGetNearNullSpace(a_A, &mnull);CHKERRQ(ierr); 666 if (!mnull) { 667 PetscInt bs,NN,MM; 668 ierr = MatGetBlockSize(a_A, &bs);CHKERRQ(ierr); 669 ierr = MatGetLocalSize(a_A, &MM, &NN);CHKERRQ(ierr); 670 if (MM % bs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"MM %D must be divisible by bs %D",MM,bs); 671 ierr = PCSetCoordinates_AGG(pc, bs, MM/bs, NULL);CHKERRQ(ierr); 672 } else { 673 PetscReal *nullvec; 674 PetscBool has_const; 675 PetscInt i,j,mlocal,nvec,bs; 676 const Vec *vecs; const PetscScalar *v; 677 ierr = MatGetLocalSize(a_A,&mlocal,NULL);CHKERRQ(ierr); 678 ierr = MatNullSpaceGetVecs(mnull, &has_const, &nvec, &vecs);CHKERRQ(ierr); 679 pc_gamg->data_sz = (nvec+!!has_const)*mlocal; 680 ierr = PetscMalloc1((nvec+!!has_const)*mlocal,&nullvec);CHKERRQ(ierr); 681 if (has_const) for (i=0; i<mlocal; i++) nullvec[i] = 1.0; 682 for (i=0; i<nvec; i++) { 683 ierr = VecGetArrayRead(vecs[i],&v);CHKERRQ(ierr); 684 for (j=0; j<mlocal; j++) nullvec[(i+!!has_const)*mlocal + j] = PetscRealPart(v[j]); 685 ierr = VecRestoreArrayRead(vecs[i],&v);CHKERRQ(ierr); 686 } 687 pc_gamg->data = nullvec; 688 pc_gamg->data_cell_cols = (nvec+!!has_const); 689 690 ierr = MatGetBlockSize(a_A, &bs);CHKERRQ(ierr); 691 692 pc_gamg->data_cell_rows = bs; 693 } 694 PetscFunctionReturn(0); 695 } 696 697 /* -------------------------------------------------------------------------- */ 698 /* 699 formProl0 700 701 Input Parameter: 702 . agg_llists - list of arrays with aggregates 703 . bs - block size 704 . nSAvec - column bs of new P 705 . my0crs - global index of start of locals 706 . data_stride - bs*(nloc nodes + ghost nodes) 707 . data_in[data_stride*nSAvec] - local data on fine grid 708 . flid_fgid[data_stride/bs] - make local to global IDs, includes ghosts in 'locals_llist' 709 Output Parameter: 710 . a_data_out - in with fine grid data (w/ghosts), out with coarse grid data 711 . a_Prol - prolongation operator 712 */ 713 #undef __FUNCT__ 714 #define __FUNCT__ "formProl0" 715 static PetscErrorCode formProl0(const PetscCoarsenData *agg_llists, /* list from selected vertices of aggregate unselected vertices */ 716 const PetscInt bs, /* (row) block size */ 717 const PetscInt nSAvec, /* column bs */ 718 const PetscInt my0crs, /* global index of start of locals */ 719 const PetscInt data_stride, /* (nloc+nghost)*bs */ 720 PetscReal data_in[], /* [data_stride][nSAvec] */ 721 const PetscInt flid_fgid[], /* [data_stride/bs] */ 722 PetscReal **a_data_out, 723 Mat a_Prol) /* prolongation operator (output)*/ 724 { 725 PetscErrorCode ierr; 726 PetscInt Istart,my0,Iend,nloc,clid,flid,aggID,kk,jj,ii,mm,ndone,nSelected,minsz,nghosts,out_data_stride; 727 MPI_Comm comm; 728 PetscMPIInt rank, size; 729 PetscReal *out_data; 730 PetscCDPos pos; 731 GAMGHashTable fgid_flid; 732 733 /* #define OUT_AGGS */ 734 #if defined(OUT_AGGS) 735 static PetscInt llev = 0; char fname[32]; FILE *file = NULL; PetscInt pM; 736 #endif 737 738 PetscFunctionBegin; 739 ierr = PetscObjectGetComm((PetscObject)a_Prol,&comm);CHKERRQ(ierr); 740 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 741 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 742 ierr = MatGetOwnershipRange(a_Prol, &Istart, &Iend);CHKERRQ(ierr); 743 nloc = (Iend-Istart)/bs; my0 = Istart/bs; 744 if ((Iend-Istart) % bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Iend %D - Istart %d must be divisible by bs %D",Iend,Istart,bs); 745 Iend /= bs; 746 nghosts = data_stride/bs - nloc; 747 748 ierr = GAMGTableCreate(2*nghosts+1, &fgid_flid);CHKERRQ(ierr); 749 for (kk=0; kk<nghosts; kk++) { 750 ierr = GAMGTableAdd(&fgid_flid, flid_fgid[nloc+kk], nloc+kk);CHKERRQ(ierr); 751 } 752 753 #if defined(OUT_AGGS) 754 sprintf(fname,"aggs_%d_%d.m",llev++,rank); 755 if (llev==1) file = fopen(fname,"w"); 756 MatGetSize(a_Prol, &pM, &jj); 757 #endif 758 759 /* count selected -- same as number of cols of P */ 760 for (nSelected=mm=0; mm<nloc; mm++) { 761 PetscBool ise; 762 ierr = PetscCDEmptyAt(agg_llists, mm, &ise);CHKERRQ(ierr); 763 if (!ise) nSelected++; 764 } 765 ierr = MatGetOwnershipRangeColumn(a_Prol, &ii, &jj);CHKERRQ(ierr); 766 if ((ii/nSAvec) != my0crs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"ii %D /nSAvec %D != my0crs %D",ii,nSAvec,my0crs); 767 if (nSelected != (jj-ii)/nSAvec) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_PLIB,"nSelected %D != (jj %D - ii %D)/nSAvec %D",nSelected,jj,ii,nSAvec); 768 769 /* aloc space for coarse point data (output) */ 770 out_data_stride = nSelected*nSAvec; 771 772 ierr = PetscMalloc1(out_data_stride*nSAvec, &out_data);CHKERRQ(ierr); 773 for (ii=0;ii<out_data_stride*nSAvec;ii++) out_data[ii]=PETSC_MAX_REAL; 774 *a_data_out = out_data; /* output - stride nSelected*nSAvec */ 775 776 /* find points and set prolongation */ 777 minsz = 100; 778 ndone = 0; 779 for (mm = clid = 0; mm < nloc; mm++) { 780 ierr = PetscCDSizeAt(agg_llists, mm, &jj);CHKERRQ(ierr); 781 if (jj > 0) { 782 const PetscInt lid = mm, cgid = my0crs + clid; 783 PetscInt cids[100]; /* max bs */ 784 PetscBLASInt asz =jj,M=asz*bs,N=nSAvec,INFO; 785 PetscBLASInt Mdata=M+((N-M>0) ? N-M : 0),LDA=Mdata,LWORK=N*bs; 786 PetscScalar *qqc,*qqr,*TAU,*WORK; 787 PetscInt *fids; 788 PetscReal *data; 789 /* count agg */ 790 if (asz<minsz) minsz = asz; 791 792 /* get block */ 793 ierr = PetscMalloc1((Mdata*N), &qqc);CHKERRQ(ierr); 794 ierr = PetscMalloc1((M*N), &qqr);CHKERRQ(ierr); 795 ierr = PetscMalloc1(N, &TAU);CHKERRQ(ierr); 796 ierr = PetscMalloc1(LWORK, &WORK);CHKERRQ(ierr); 797 ierr = PetscMalloc1(M, &fids);CHKERRQ(ierr); 798 799 aggID = 0; 800 ierr = PetscCDGetHeadPos(agg_llists,lid,&pos);CHKERRQ(ierr); 801 while (pos) { 802 PetscInt gid1; 803 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 804 ierr = PetscCDGetNextPos(agg_llists,lid,&pos);CHKERRQ(ierr); 805 806 if (gid1 >= my0 && gid1 < Iend) flid = gid1 - my0; 807 else { 808 ierr = GAMGTableFind(&fgid_flid, gid1, &flid);CHKERRQ(ierr); 809 if (flid < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Cannot find gid1 in table"); 810 } 811 /* copy in B_i matrix - column oriented */ 812 data = &data_in[flid*bs]; 813 for (kk = ii = 0; ii < bs; ii++) { 814 for (jj = 0; jj < N; jj++) { 815 PetscReal d = data[jj*data_stride + ii]; 816 qqc[jj*Mdata + aggID*bs + ii] = d; 817 } 818 } 819 #if defined(OUT_AGGS) 820 if (llev==1) { 821 char str[] = "plot(%e,%e,'r*'), hold on,\n", col[] = "rgbkmc", sim[] = "*os+h>d<vx^"; 822 PetscInt MM,pi,pj; 823 str[12] = col[(clid+17*rank)%6]; str[13] = sim[(clid+17*rank)%11]; 824 MM = (PetscInt)(PetscSqrtReal((PetscReal)pM)); 825 pj = gid1/MM; pi = gid1%MM; 826 fprintf(file,str,(double)pi,(double)pj); 827 /* fprintf(file,str,data[2*data_stride+1],-data[2*data_stride]); */ 828 } 829 #endif 830 /* set fine IDs */ 831 for (kk=0; kk<bs; kk++) fids[aggID*bs + kk] = flid_fgid[flid]*bs + kk; 832 833 aggID++; 834 } 835 836 /* pad with zeros */ 837 for (ii = asz*bs; ii < Mdata; ii++) { 838 for (jj = 0; jj < N; jj++, kk++) { 839 qqc[jj*Mdata + ii] = .0; 840 } 841 } 842 843 ndone += aggID; 844 /* QR */ 845 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 846 PetscStackCallBLAS("LAPACKgeqrf",LAPACKgeqrf_(&Mdata, &N, qqc, &LDA, TAU, WORK, &LWORK, &INFO)); 847 ierr = PetscFPTrapPop();CHKERRQ(ierr); 848 if (INFO != 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"xGEQRF error"); 849 /* get R - column oriented - output B_{i+1} */ 850 { 851 PetscReal *data = &out_data[clid*nSAvec]; 852 for (jj = 0; jj < nSAvec; jj++) { 853 for (ii = 0; ii < nSAvec; ii++) { 854 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); 855 if (ii <= jj) data[jj*out_data_stride + ii] = PetscRealPart(qqc[jj*Mdata + ii]); 856 else data[jj*out_data_stride + ii] = 0.; 857 } 858 } 859 } 860 861 /* get Q - row oriented */ 862 PetscStackCallBLAS("LAPACKungqr",LAPACKungqr_(&Mdata, &N, &N, qqc, &LDA, TAU, WORK, &LWORK, &INFO)); 863 if (INFO != 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"xORGQR error arg %d",-INFO); 864 865 for (ii = 0; ii < M; ii++) { 866 for (jj = 0; jj < N; jj++) { 867 qqr[N*ii + jj] = qqc[jj*Mdata + ii]; 868 } 869 } 870 871 /* add diagonal block of P0 */ 872 for (kk=0; kk<N; kk++) { 873 cids[kk] = N*cgid + kk; /* global col IDs in P0 */ 874 } 875 ierr = MatSetValues(a_Prol,M,fids,N,cids,qqr,INSERT_VALUES);CHKERRQ(ierr); 876 877 ierr = PetscFree(qqc);CHKERRQ(ierr); 878 ierr = PetscFree(qqr);CHKERRQ(ierr); 879 ierr = PetscFree(TAU);CHKERRQ(ierr); 880 ierr = PetscFree(WORK);CHKERRQ(ierr); 881 ierr = PetscFree(fids);CHKERRQ(ierr); 882 clid++; 883 } /* coarse agg */ 884 } /* for all fine nodes */ 885 ierr = MatAssemblyBegin(a_Prol,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 886 ierr = MatAssemblyEnd(a_Prol,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 887 888 /* ierr = MPI_Allreduce(&ndone, &ii, 1, MPIU_INT, MPIU_SUM, comm); */ 889 /* MatGetSize(a_Prol, &kk, &jj); */ 890 /* ierr = MPI_Allreduce(&minsz, &jj, 1, MPIU_INT, MPIU_MIN, comm); */ 891 /* PetscPrintf(comm," **** [%d]%s %d total done, %d nodes (%d local done), min agg. size = %d\n",rank,__FUNCT__,ii,kk/bs,ndone,jj); */ 892 893 #if defined(OUT_AGGS) 894 if (llev==1) fclose(file); 895 #endif 896 ierr = GAMGTableDestroy(&fgid_flid);CHKERRQ(ierr); 897 PetscFunctionReturn(0); 898 } 899 900 /* -------------------------------------------------------------------------- */ 901 /* 902 PCGAMGgraph_AGG 903 904 Input Parameter: 905 . pc - this 906 . Amat - matrix on this fine level 907 Output Parameter: 908 . a_Gmat - 909 */ 910 #undef __FUNCT__ 911 #define __FUNCT__ "PCGAMGgraph_AGG" 912 PetscErrorCode PCGAMGgraph_AGG(PC pc,const Mat Amat,Mat *a_Gmat) 913 { 914 PetscErrorCode ierr; 915 PC_MG *mg = (PC_MG*)pc->data; 916 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 917 const PetscInt verbose = pc_gamg->verbose; 918 const PetscReal vfilter = pc_gamg->threshold; 919 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 920 PetscMPIInt rank,size; 921 Mat Gmat; 922 MPI_Comm comm; 923 PetscBool /* set,flg , */ symm; 924 925 PetscFunctionBegin; 926 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 927 #if defined PETSC_USE_LOG 928 ierr = PetscLogEventBegin(PC_GAMGGgraph_AGG,0,0,0,0);CHKERRQ(ierr); 929 #endif 930 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 931 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 932 933 /* ierr = MatIsSymmetricKnown(Amat, &set, &flg);CHKERRQ(ierr); || !(set && flg) -- this causes lot of symm calls */ 934 symm = (PetscBool)(pc_gamg_agg->sym_graph); /* && !pc_gamg_agg->square_graph; */ 935 936 ierr = PCGAMGCreateGraph(Amat, &Gmat);CHKERRQ(ierr); 937 ierr = PCGAMGFilterGraph(&Gmat, vfilter, symm, verbose);CHKERRQ(ierr); 938 939 *a_Gmat = Gmat; 940 941 #if defined PETSC_USE_LOG 942 ierr = PetscLogEventEnd(PC_GAMGGgraph_AGG,0,0,0,0);CHKERRQ(ierr); 943 #endif 944 PetscFunctionReturn(0); 945 } 946 947 /* -------------------------------------------------------------------------- */ 948 /* 949 PCGAMGCoarsen_AGG 950 951 Input Parameter: 952 . a_pc - this 953 Input/Output Parameter: 954 . a_Gmat1 - graph on this fine level - coarsening can change this (squares it) 955 Output Parameter: 956 . agg_lists - list of aggregates 957 */ 958 #undef __FUNCT__ 959 #define __FUNCT__ "PCGAMGCoarsen_AGG" 960 PetscErrorCode PCGAMGCoarsen_AGG(PC a_pc,Mat *a_Gmat1,PetscCoarsenData **agg_lists) 961 { 962 PetscErrorCode ierr; 963 PC_MG *mg = (PC_MG*)a_pc->data; 964 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 965 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 966 Mat mat,Gmat2, Gmat1 = *a_Gmat1; /* squared graph */ 967 const PetscInt verbose = pc_gamg->verbose; 968 IS perm; 969 PetscInt Ii,nloc,bs,n,m; 970 PetscInt *permute; 971 PetscBool *bIndexSet; 972 MatCoarsen crs; 973 MPI_Comm comm; 974 PetscMPIInt rank,size; 975 976 PetscFunctionBegin; 977 #if defined PETSC_USE_LOG 978 ierr = PetscLogEventBegin(PC_GAMGCoarsen_AGG,0,0,0,0);CHKERRQ(ierr); 979 #endif 980 ierr = PetscObjectGetComm((PetscObject)Gmat1,&comm);CHKERRQ(ierr); 981 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 982 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 983 ierr = MatGetLocalSize(Gmat1, &n, &m);CHKERRQ(ierr); 984 ierr = MatGetBlockSize(Gmat1, &bs);CHKERRQ(ierr); 985 if (bs != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"bs %D must be 1",bs); 986 nloc = n/bs; 987 988 if (pc_gamg_agg->square_graph) { 989 if (verbose > 1) PetscPrintf(comm,"[%d]%s square graph\n",rank,__FUNCT__); 990 /* ierr = MatMatTransposeMult(Gmat1, Gmat1, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2); */ 991 ierr = MatTransposeMatMult(Gmat1, Gmat1, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2);CHKERRQ(ierr); 992 if (verbose > 2) { 993 ierr = PetscPrintf(comm,"[%d]%s square graph done\n",rank,__FUNCT__);CHKERRQ(ierr); 994 /* check for symetry */ 995 if (verbose > 4) { 996 997 } 998 } 999 } else Gmat2 = Gmat1; 1000 1001 /* get MIS aggs */ 1002 /* randomize */ 1003 ierr = PetscMalloc1(nloc, &permute);CHKERRQ(ierr); 1004 ierr = PetscMalloc1(nloc, &bIndexSet);CHKERRQ(ierr); 1005 for (Ii = 0; Ii < nloc; Ii++) { 1006 bIndexSet[Ii] = PETSC_FALSE; 1007 permute[Ii] = Ii; 1008 } 1009 srand(1); /* make deterministic */ 1010 for (Ii = 0; Ii < nloc; Ii++) { 1011 PetscInt iSwapIndex = rand()%nloc; 1012 if (!bIndexSet[iSwapIndex] && iSwapIndex != Ii) { 1013 PetscInt iTemp = permute[iSwapIndex]; 1014 permute[iSwapIndex] = permute[Ii]; 1015 permute[Ii] = iTemp; 1016 bIndexSet[iSwapIndex] = PETSC_TRUE; 1017 } 1018 } 1019 ierr = PetscFree(bIndexSet);CHKERRQ(ierr); 1020 1021 if (verbose > 1) PetscPrintf(comm,"[%d]%s coarsen graph\n",rank,__FUNCT__); 1022 1023 ierr = ISCreateGeneral(PETSC_COMM_SELF, nloc, permute, PETSC_USE_POINTER, &perm);CHKERRQ(ierr); 1024 #if defined PETSC_GAMG_USE_LOG 1025 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); 1026 #endif 1027 ierr = MatCoarsenCreate(comm, &crs);CHKERRQ(ierr); 1028 /* ierr = MatCoarsenSetType(crs, MATCOARSENMIS);CHKERRQ(ierr); */ 1029 ierr = MatCoarsenSetFromOptions(crs);CHKERRQ(ierr); 1030 ierr = MatCoarsenSetGreedyOrdering(crs, perm);CHKERRQ(ierr); 1031 ierr = MatCoarsenSetAdjacency(crs, Gmat2);CHKERRQ(ierr); 1032 ierr = MatCoarsenSetVerbose(crs, pc_gamg->verbose);CHKERRQ(ierr); 1033 ierr = MatCoarsenSetStrictAggs(crs, PETSC_TRUE);CHKERRQ(ierr); 1034 ierr = MatCoarsenApply(crs);CHKERRQ(ierr); 1035 ierr = MatCoarsenGetData(crs, agg_lists);CHKERRQ(ierr); /* output */ 1036 ierr = MatCoarsenDestroy(&crs);CHKERRQ(ierr); 1037 1038 ierr = ISDestroy(&perm);CHKERRQ(ierr); 1039 ierr = PetscFree(permute);CHKERRQ(ierr); 1040 #if defined PETSC_GAMG_USE_LOG 1041 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); 1042 #endif 1043 if (verbose > 2) PetscPrintf(comm,"[%d]%s coarsen graph done\n",rank,__FUNCT__); 1044 1045 /* smooth aggs */ 1046 if (Gmat2 != Gmat1) { 1047 const PetscCoarsenData *llist = *agg_lists; 1048 ierr = smoothAggs(Gmat2, Gmat1, *agg_lists);CHKERRQ(ierr); 1049 ierr = MatDestroy(&Gmat1);CHKERRQ(ierr); 1050 *a_Gmat1 = Gmat2; /* output */ 1051 ierr = PetscCDGetMat(llist, &mat);CHKERRQ(ierr); 1052 if (mat) SETERRQ(comm,PETSC_ERR_ARG_WRONG, "Auxilary matrix with squared graph????"); 1053 } else { 1054 const PetscCoarsenData *llist = *agg_lists; 1055 /* see if we have a matrix that takes precedence (returned from MatCoarsenAppply) */ 1056 ierr = PetscCDGetMat(llist, &mat);CHKERRQ(ierr); 1057 if (mat) { 1058 ierr = MatDestroy(&Gmat1);CHKERRQ(ierr); 1059 *a_Gmat1 = mat; /* output */ 1060 } 1061 } 1062 #if defined PETSC_USE_LOG 1063 ierr = PetscLogEventEnd(PC_GAMGCoarsen_AGG,0,0,0,0);CHKERRQ(ierr); 1064 #endif 1065 if (verbose > 2) PetscPrintf(comm,"[%d]%s PCGAMGCoarsen_AGG done\n",rank,__FUNCT__); 1066 PetscFunctionReturn(0); 1067 } 1068 1069 /* -------------------------------------------------------------------------- */ 1070 /* 1071 PCGAMGProlongator_AGG 1072 1073 Input Parameter: 1074 . pc - this 1075 . Amat - matrix on this fine level 1076 . Graph - used to get ghost data for nodes in 1077 . agg_lists - list of aggregates 1078 Output Parameter: 1079 . a_P_out - prolongation operator to the next level 1080 */ 1081 #undef __FUNCT__ 1082 #define __FUNCT__ "PCGAMGProlongator_AGG" 1083 PetscErrorCode PCGAMGProlongator_AGG(PC pc,const Mat Amat,const Mat Gmat,PetscCoarsenData *agg_lists,Mat *a_P_out) 1084 { 1085 PC_MG *mg = (PC_MG*)pc->data; 1086 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1087 const PetscInt verbose = pc_gamg->verbose; 1088 const PetscInt data_cols = pc_gamg->data_cell_cols; 1089 PetscErrorCode ierr; 1090 PetscInt Istart,Iend,nloc,ii,jj,kk,my0,nLocalSelected,bs; 1091 Mat Prol; 1092 PetscMPIInt rank, size; 1093 MPI_Comm comm; 1094 const PetscInt col_bs = data_cols; 1095 PetscReal *data_w_ghost; 1096 PetscInt myCrs0, nbnodes=0, *flid_fgid; 1097 1098 PetscFunctionBegin; 1099 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 1100 #if defined PETSC_USE_LOG 1101 ierr = PetscLogEventBegin(PC_GAMGProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1102 #endif 1103 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 1104 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 1105 ierr = MatGetOwnershipRange(Amat, &Istart, &Iend);CHKERRQ(ierr); 1106 ierr = MatGetBlockSize(Amat, &bs);CHKERRQ(ierr); 1107 nloc = (Iend-Istart)/bs; my0 = Istart/bs; 1108 if ((Iend-Istart) % bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"(Iend %D - Istart %D) not divisible by bs %D",Iend,Istart,bs); 1109 1110 /* get 'nLocalSelected' */ 1111 for (ii=0, nLocalSelected = 0; ii < nloc; ii++) { 1112 PetscBool ise; 1113 /* filter out singletons 0 or 1? */ 1114 ierr = PetscCDEmptyAt(agg_lists, ii, &ise);CHKERRQ(ierr); 1115 if (!ise) nLocalSelected++; 1116 } 1117 1118 /* create prolongator, create P matrix */ 1119 ierr = MatCreate(comm, &Prol);CHKERRQ(ierr); 1120 ierr = MatSetSizes(Prol,nloc*bs,nLocalSelected*col_bs,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 1121 ierr = MatSetBlockSizes(Prol, bs, col_bs);CHKERRQ(ierr); 1122 ierr = MatSetType(Prol, MATAIJ);CHKERRQ(ierr); 1123 ierr = MatSeqAIJSetPreallocation(Prol, data_cols, NULL);CHKERRQ(ierr); 1124 ierr = MatMPIAIJSetPreallocation(Prol,data_cols, NULL,data_cols, NULL);CHKERRQ(ierr); 1125 /* nloc*bs, nLocalSelected*col_bs, */ 1126 /* PETSC_DETERMINE, PETSC_DETERMINE, */ 1127 /* data_cols, NULL, data_cols, NULL, */ 1128 /* &Prol); */ 1129 1130 /* can get all points "removed" */ 1131 ierr = MatGetSize(Prol, &kk, &ii);CHKERRQ(ierr); 1132 if (ii==0) { 1133 if (verbose > 0) PetscPrintf(comm,"[%d]%s no selected points on coarse grid\n",rank,__FUNCT__); 1134 ierr = MatDestroy(&Prol);CHKERRQ(ierr); 1135 *a_P_out = NULL; /* out */ 1136 PetscFunctionReturn(0); 1137 } 1138 if (verbose > 0) PetscPrintf(comm,"\t\t[%d]%s New grid %d nodes\n",rank,__FUNCT__,ii/col_bs); 1139 ierr = MatGetOwnershipRangeColumn(Prol, &myCrs0, &kk);CHKERRQ(ierr); 1140 1141 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); 1142 myCrs0 = myCrs0/col_bs; 1143 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); 1144 1145 /* create global vector of data in 'data_w_ghost' */ 1146 #if defined PETSC_GAMG_USE_LOG 1147 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET7],0,0,0,0);CHKERRQ(ierr); 1148 #endif 1149 if (size > 1) { /* */ 1150 PetscReal *tmp_gdata,*tmp_ldata,*tp2; 1151 ierr = PetscMalloc1(nloc, &tmp_ldata);CHKERRQ(ierr); 1152 for (jj = 0; jj < data_cols; jj++) { 1153 for (kk = 0; kk < bs; kk++) { 1154 PetscInt ii,stride; 1155 const PetscReal *tp = pc_gamg->data + jj*bs*nloc + kk; 1156 for (ii = 0; ii < nloc; ii++, tp += bs) tmp_ldata[ii] = *tp; 1157 1158 ierr = PCGAMGGetDataWithGhosts(Gmat, 1, tmp_ldata, &stride, &tmp_gdata);CHKERRQ(ierr); 1159 1160 if (jj==0 && kk==0) { /* now I know how many todal nodes - allocate */ 1161 ierr = PetscMalloc1(stride*bs*data_cols, &data_w_ghost);CHKERRQ(ierr); 1162 nbnodes = bs*stride; 1163 } 1164 tp2 = data_w_ghost + jj*bs*stride + kk; 1165 for (ii = 0; ii < stride; ii++, tp2 += bs) *tp2 = tmp_gdata[ii]; 1166 ierr = PetscFree(tmp_gdata);CHKERRQ(ierr); 1167 } 1168 } 1169 ierr = PetscFree(tmp_ldata);CHKERRQ(ierr); 1170 } else { 1171 nbnodes = bs*nloc; 1172 data_w_ghost = (PetscReal*)pc_gamg->data; 1173 } 1174 1175 /* get P0 */ 1176 if (size > 1) { 1177 PetscReal *fid_glid_loc,*fiddata; 1178 PetscInt stride; 1179 1180 ierr = PetscMalloc1(nloc, &fid_glid_loc);CHKERRQ(ierr); 1181 for (kk=0; kk<nloc; kk++) fid_glid_loc[kk] = (PetscReal)(my0+kk); 1182 ierr = PCGAMGGetDataWithGhosts(Gmat, 1, fid_glid_loc, &stride, &fiddata);CHKERRQ(ierr); 1183 ierr = PetscMalloc1(stride, &flid_fgid);CHKERRQ(ierr); 1184 for (kk=0; kk<stride; kk++) flid_fgid[kk] = (PetscInt)fiddata[kk]; 1185 ierr = PetscFree(fiddata);CHKERRQ(ierr); 1186 1187 if (stride != nbnodes/bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"stride %D != nbnodes %D/bs %D",stride,nbnodes,bs); 1188 ierr = PetscFree(fid_glid_loc);CHKERRQ(ierr); 1189 } else { 1190 ierr = PetscMalloc1(nloc, &flid_fgid);CHKERRQ(ierr); 1191 for (kk=0; kk<nloc; kk++) flid_fgid[kk] = my0 + kk; 1192 } 1193 #if defined PETSC_GAMG_USE_LOG 1194 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET7],0,0,0,0);CHKERRQ(ierr); 1195 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); 1196 #endif 1197 { 1198 PetscReal *data_out = NULL; 1199 ierr = formProl0(agg_lists, bs, data_cols, myCrs0, nbnodes,data_w_ghost, flid_fgid, &data_out, Prol);CHKERRQ(ierr); 1200 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 1201 1202 pc_gamg->data = data_out; 1203 pc_gamg->data_cell_rows = data_cols; 1204 pc_gamg->data_sz = data_cols*data_cols*nLocalSelected; 1205 } 1206 #if defined PETSC_GAMG_USE_LOG 1207 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); 1208 #endif 1209 if (size > 1) ierr = PetscFree(data_w_ghost);CHKERRQ(ierr); 1210 ierr = PetscFree(flid_fgid);CHKERRQ(ierr); 1211 1212 *a_P_out = Prol; /* out */ 1213 1214 #if defined PETSC_USE_LOG 1215 ierr = PetscLogEventEnd(PC_GAMGProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1216 #endif 1217 PetscFunctionReturn(0); 1218 } 1219 1220 /* -------------------------------------------------------------------------- */ 1221 /* 1222 PCGAMGOptprol_AGG 1223 1224 Input Parameter: 1225 . pc - this 1226 . Amat - matrix on this fine level 1227 In/Output Parameter: 1228 . a_P_out - prolongation operator to the next level 1229 */ 1230 #undef __FUNCT__ 1231 #define __FUNCT__ "PCGAMGOptprol_AGG" 1232 PetscErrorCode PCGAMGOptprol_AGG(PC pc,const Mat Amat,Mat *a_P) 1233 { 1234 PetscErrorCode ierr; 1235 PC_MG *mg = (PC_MG*)pc->data; 1236 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1237 const PetscInt verbose = pc_gamg->verbose; 1238 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 1239 PetscInt jj; 1240 PetscMPIInt rank,size; 1241 Mat Prol = *a_P; 1242 MPI_Comm comm; 1243 1244 PetscFunctionBegin; 1245 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 1246 #if defined PETSC_USE_LOG 1247 ierr = PetscLogEventBegin(PC_GAMGOptprol_AGG,0,0,0,0);CHKERRQ(ierr); 1248 #endif 1249 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 1250 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 1251 1252 /* smooth P0 */ 1253 for (jj = 0; jj < pc_gamg_agg->nsmooths; jj++) { 1254 Mat tMat; 1255 Vec diag; 1256 PetscReal alpha, emax, emin; 1257 #if defined PETSC_GAMG_USE_LOG 1258 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); 1259 #endif 1260 if (jj == 0) { 1261 KSP eksp; 1262 Vec bb, xx; 1263 PC epc; 1264 ierr = MatGetVecs(Amat, &bb, 0);CHKERRQ(ierr); 1265 ierr = MatGetVecs(Amat, &xx, 0);CHKERRQ(ierr); 1266 { 1267 PetscRandom rctx; 1268 ierr = PetscRandomCreate(comm,&rctx);CHKERRQ(ierr); 1269 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 1270 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 1271 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 1272 } 1273 1274 /* zeroing out BC rows -- needed for crazy matrices */ 1275 { 1276 PetscInt Istart,Iend,ncols,jj,Ii; 1277 PetscScalar zero = 0.0; 1278 ierr = MatGetOwnershipRange(Amat, &Istart, &Iend);CHKERRQ(ierr); 1279 for (Ii = Istart, jj = 0; Ii < Iend; Ii++, jj++) { 1280 ierr = MatGetRow(Amat,Ii,&ncols,0,0);CHKERRQ(ierr); 1281 if (ncols <= 1) { 1282 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 1283 } 1284 ierr = MatRestoreRow(Amat,Ii,&ncols,0,0);CHKERRQ(ierr); 1285 } 1286 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 1287 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 1288 } 1289 1290 ierr = KSPCreate(comm,&eksp);CHKERRQ(ierr); 1291 ierr = KSPSetTolerances(eksp,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT,10);CHKERRQ(ierr); 1292 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 1293 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 1294 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 1295 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 1296 1297 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 1298 ierr = KSPSetOperators(eksp, Amat, Amat);CHKERRQ(ierr); 1299 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 1300 1301 ierr = KSPGetPC(eksp, &epc);CHKERRQ(ierr); 1302 ierr = PCSetType(epc, PCJACOBI);CHKERRQ(ierr); /* smoother in smoothed agg. */ 1303 1304 /* solve - keep stuff out of logging */ 1305 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 1306 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 1307 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 1308 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 1309 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 1310 1311 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 1312 if (verbose > 0) { 1313 PetscPrintf(comm,"\t\t\t%s smooth P0: max eigen=%e min=%e PC=%s\n", 1314 __FUNCT__,emax,emin,PCJACOBI); 1315 } 1316 ierr = VecDestroy(&xx);CHKERRQ(ierr); 1317 ierr = VecDestroy(&bb);CHKERRQ(ierr); 1318 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 1319 1320 if (pc_gamg->emax_id == -1) { 1321 ierr = PetscObjectComposedDataRegister(&pc_gamg->emax_id);CHKERRQ(ierr); 1322 if (pc_gamg->emax_id == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"pc_gamg->emax_id == -1"); 1323 } 1324 ierr = PetscObjectComposedDataSetScalar((PetscObject)Amat, pc_gamg->emax_id, emax);CHKERRQ(ierr); 1325 } 1326 1327 /* smooth P1 := (I - omega/lam D^{-1}A)P0 */ 1328 ierr = MatMatMult(Amat, Prol, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &tMat);CHKERRQ(ierr); 1329 ierr = MatGetVecs(Amat, &diag, 0);CHKERRQ(ierr); 1330 ierr = MatGetDiagonal(Amat, diag);CHKERRQ(ierr); /* effectively PCJACOBI */ 1331 ierr = VecReciprocal(diag);CHKERRQ(ierr); 1332 ierr = MatDiagonalScale(tMat, diag, 0);CHKERRQ(ierr); 1333 ierr = VecDestroy(&diag);CHKERRQ(ierr); 1334 alpha = -1.4/emax; 1335 ierr = MatAYPX(tMat, alpha, Prol, SUBSET_NONZERO_PATTERN);CHKERRQ(ierr); 1336 ierr = MatDestroy(&Prol);CHKERRQ(ierr); 1337 Prol = tMat; 1338 #if defined PETSC_GAMG_USE_LOG 1339 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); 1340 #endif 1341 } 1342 #if defined PETSC_USE_LOG 1343 ierr = PetscLogEventEnd(PC_GAMGOptprol_AGG,0,0,0,0);CHKERRQ(ierr); 1344 #endif 1345 *a_P = Prol; 1346 PetscFunctionReturn(0); 1347 } 1348 1349 /* -------------------------------------------------------------------------- */ 1350 /* 1351 PCCreateGAMG_AGG 1352 1353 Input Parameter: 1354 . pc - 1355 */ 1356 #undef __FUNCT__ 1357 #define __FUNCT__ "PCCreateGAMG_AGG" 1358 PetscErrorCode PCCreateGAMG_AGG(PC pc) 1359 { 1360 PetscErrorCode ierr; 1361 PC_MG *mg = (PC_MG*)pc->data; 1362 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1363 PC_GAMG_AGG *pc_gamg_agg; 1364 1365 PetscFunctionBegin; 1366 /* create sub context for SA */ 1367 ierr = PetscNewLog(pc,&pc_gamg_agg);CHKERRQ(ierr); 1368 pc_gamg->subctx = pc_gamg_agg; 1369 1370 pc_gamg->ops->setfromoptions = PCSetFromOptions_GAMG_AGG; 1371 pc_gamg->ops->destroy = PCDestroy_GAMG_AGG; 1372 /* reset does not do anything; setup not virtual */ 1373 1374 /* set internal function pointers */ 1375 pc_gamg->ops->graph = PCGAMGgraph_AGG; 1376 pc_gamg->ops->coarsen = PCGAMGCoarsen_AGG; 1377 pc_gamg->ops->prolongator = PCGAMGProlongator_AGG; 1378 pc_gamg->ops->optprol = PCGAMGOptprol_AGG; 1379 1380 pc_gamg->ops->createdefaultdata = PCSetData_AGG; 1381 1382 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCSetCoordinates_C",PCSetCoordinates_AGG);CHKERRQ(ierr); 1383 PetscFunctionReturn(0); 1384 } 1385