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 EXTERN_C_BEGIN 46 #undef __FUNCT__ 47 #define __FUNCT__ "PCGAMGSetNSmooths_GAMG" 48 PetscErrorCode PCGAMGSetNSmooths_GAMG(PC pc, PetscInt n) 49 { 50 PC_MG *mg = (PC_MG*)pc->data; 51 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 52 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 53 54 PetscFunctionBegin; 55 pc_gamg_agg->nsmooths = n; 56 PetscFunctionReturn(0); 57 } 58 EXTERN_C_END 59 60 #undef __FUNCT__ 61 #define __FUNCT__ "PCGAMGSetSymGraph" 62 /*@ 63 PCGAMGSetSymGraph - 64 65 Not Collective on PC 66 67 Input Parameters: 68 . pc - the preconditioner context 69 70 Options Database Key: 71 . -pc_gamg_sym_graph 72 73 Level: intermediate 74 75 Concepts: Aggregation AMG preconditioner 76 77 .seealso: () 78 @*/ 79 PetscErrorCode PCGAMGSetSymGraph(PC pc, PetscBool n) 80 { 81 PetscErrorCode ierr; 82 83 PetscFunctionBegin; 84 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 85 ierr = PetscTryMethod(pc,"PCGAMGSetSymGraph_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 86 PetscFunctionReturn(0); 87 } 88 89 EXTERN_C_BEGIN 90 #undef __FUNCT__ 91 #define __FUNCT__ "PCGAMGSetSymGraph_GAMG" 92 PetscErrorCode PCGAMGSetSymGraph_GAMG(PC pc, PetscBool n) 93 { 94 PC_MG *mg = (PC_MG*)pc->data; 95 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 96 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 97 98 PetscFunctionBegin; 99 pc_gamg_agg->sym_graph = n; 100 PetscFunctionReturn(0); 101 } 102 EXTERN_C_END 103 104 #undef __FUNCT__ 105 #define __FUNCT__ "PCGAMGSetSquareGraph" 106 /*@ 107 PCGAMGSetSquareGraph - 108 109 Not Collective on PC 110 111 Input Parameters: 112 . pc - the preconditioner context 113 114 Options Database Key: 115 . -pc_gamg_square_graph 116 117 Level: intermediate 118 119 Concepts: Aggregation AMG preconditioner 120 121 .seealso: () 122 @*/ 123 PetscErrorCode PCGAMGSetSquareGraph(PC pc, PetscBool n) 124 { 125 PetscErrorCode ierr; 126 127 PetscFunctionBegin; 128 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 129 ierr = PetscTryMethod(pc,"PCGAMGSetSquareGraph_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 130 PetscFunctionReturn(0); 131 } 132 133 EXTERN_C_BEGIN 134 #undef __FUNCT__ 135 #define __FUNCT__ "PCGAMGSetSquareGraph_GAMG" 136 PetscErrorCode PCGAMGSetSquareGraph_GAMG(PC pc, PetscBool n) 137 { 138 PC_MG *mg = (PC_MG*)pc->data; 139 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 140 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 141 142 PetscFunctionBegin; 143 pc_gamg_agg->square_graph = n; 144 PetscFunctionReturn(0); 145 } 146 EXTERN_C_END 147 148 /* -------------------------------------------------------------------------- */ 149 /* 150 PCSetFromOptions_GAMG_AGG 151 152 Input Parameter: 153 . pc - 154 */ 155 #undef __FUNCT__ 156 #define __FUNCT__ "PCSetFromOptions_GAMG_AGG" 157 PetscErrorCode PCSetFromOptions_GAMG_AGG(PC pc) 158 { 159 PetscErrorCode ierr; 160 PC_MG *mg = (PC_MG*)pc->data; 161 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 162 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 163 PetscBool flag; 164 165 PetscFunctionBegin; 166 /* call base class */ 167 ierr = PCSetFromOptions_GAMG(pc);CHKERRQ(ierr); 168 169 ierr = PetscOptionsHead("GAMG-AGG options");CHKERRQ(ierr); 170 { 171 /* -pc_gamg_agg_nsmooths */ 172 pc_gamg_agg->nsmooths = 0; 173 174 ierr = PetscOptionsInt("-pc_gamg_agg_nsmooths", 175 "smoothing steps for smoothed aggregation, usually 1 (0)", 176 "PCGAMGSetNSmooths", 177 pc_gamg_agg->nsmooths, 178 &pc_gamg_agg->nsmooths, 179 &flag);CHKERRQ(ierr); 180 181 /* -pc_gamg_sym_graph */ 182 pc_gamg_agg->sym_graph = PETSC_FALSE; 183 184 ierr = PetscOptionsBool("-pc_gamg_sym_graph", 185 "Set for asymmetric matrices", 186 "PCGAMGSetSymGraph", 187 pc_gamg_agg->sym_graph, 188 &pc_gamg_agg->sym_graph, 189 &flag);CHKERRQ(ierr); 190 191 /* -pc_gamg_square_graph */ 192 pc_gamg_agg->square_graph = PETSC_TRUE; 193 194 ierr = PetscOptionsBool("-pc_gamg_square_graph", 195 "For faster coarsening and lower coarse grid complexity", 196 "PCGAMGSetSquareGraph", 197 pc_gamg_agg->square_graph, 198 &pc_gamg_agg->square_graph, 199 &flag);CHKERRQ(ierr); 200 } 201 ierr = PetscOptionsTail();CHKERRQ(ierr); 202 PetscFunctionReturn(0); 203 } 204 205 /* -------------------------------------------------------------------------- */ 206 /* 207 PCDestroy_AGG 208 209 Input Parameter: 210 . pc - 211 */ 212 #undef __FUNCT__ 213 #define __FUNCT__ "PCDestroy_AGG" 214 PetscErrorCode PCDestroy_AGG(PC pc) 215 { 216 PetscErrorCode ierr; 217 PC_MG *mg = (PC_MG*)pc->data; 218 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 219 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 220 221 PetscFunctionBegin; 222 if (pc_gamg_agg) { 223 ierr = PetscFree(pc_gamg_agg);CHKERRQ(ierr); 224 pc_gamg_agg = 0; 225 } 226 227 /* call base class */ 228 ierr = PCDestroy_GAMG(pc);CHKERRQ(ierr); 229 PetscFunctionReturn(0); 230 } 231 232 /* -------------------------------------------------------------------------- */ 233 /* 234 PCSetCoordinates_AGG 235 - collective 236 237 Input Parameter: 238 . pc - the preconditioner context 239 . ndm - dimesion of data (used for dof/vertex for Stokes) 240 . a_nloc - number of vertices local 241 . coords - [a_nloc][ndm] - interleaved coordinate data: {x_0, y_0, z_0, x_1, y_1, ...} 242 */ 243 EXTERN_C_BEGIN 244 #undef __FUNCT__ 245 #define __FUNCT__ "PCSetCoordinates_AGG" 246 PetscErrorCode PCSetCoordinates_AGG(PC pc, PetscInt ndm, PetscInt a_nloc, PetscReal *coords) 247 { 248 PC_MG *mg = (PC_MG*)pc->data; 249 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 250 PetscErrorCode ierr; 251 PetscInt arrsz,kk,ii,jj,nloc,ndatarows,ndf; 252 Mat mat = pc->pmat; 253 254 PetscFunctionBegin; 255 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 256 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 257 nloc = a_nloc; 258 259 /* SA: null space vectors */ 260 ierr = MatGetBlockSize(mat, &ndf);CHKERRQ(ierr); /* this does not work for Stokes */ 261 if (coords && ndf==1) pc_gamg->data_cell_cols = 1; /* scalar w/ coords and SA (not needed) */ 262 else if (coords) { 263 if (ndm > ndf) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"degrees of motion %d > block size %d",ndm,ndf); 264 pc_gamg->data_cell_cols = (ndm==2 ? 3 : 6); /* displacement elasticity */ 265 if (ndm != ndf) { 266 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); 267 } 268 } else pc_gamg->data_cell_cols = ndf; /* no data, force SA with constant null space vectors */ 269 pc_gamg->data_cell_rows = ndatarows = ndf; 270 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); 271 arrsz = nloc*pc_gamg->data_cell_rows*pc_gamg->data_cell_cols; 272 273 /* create data - syntactic sugar that should be refactored at some point */ 274 if (pc_gamg->data==0 || (pc_gamg->data_sz != arrsz)) { 275 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 276 ierr = PetscMalloc((arrsz+1)*sizeof(PetscReal), &pc_gamg->data);CHKERRQ(ierr); 277 } 278 /* copy data in - column oriented */ 279 for (kk=0; kk<nloc; kk++) { 280 const PetscInt M = nloc*pc_gamg->data_cell_rows; /* stride into data */ 281 PetscReal *data = &pc_gamg->data[kk*ndatarows]; /* start of cell */ 282 if (pc_gamg->data_cell_cols==1) *data = 1.0; 283 else { 284 /* translational modes */ 285 for (ii=0;ii<ndatarows;ii++) { 286 for (jj=0;jj<ndatarows;jj++) { 287 if (ii==jj)data[ii*M + jj] = 1.0; 288 else data[ii*M + jj] = 0.0; 289 } 290 } 291 292 /* rotational modes */ 293 if (coords) { 294 if (ndm == 2) { 295 data += 2*M; 296 data[0] = -coords[2*kk+1]; 297 data[1] = coords[2*kk]; 298 } else { 299 data += 3*M; 300 data[0] = 0.0; data[M+0] = coords[3*kk+2]; data[2*M+0] = -coords[3*kk+1]; 301 data[1] = -coords[3*kk+2]; data[M+1] = 0.0; data[2*M+1] = coords[3*kk]; 302 data[2] = coords[3*kk+1]; data[M+2] = -coords[3*kk]; data[2*M+2] = 0.0; 303 } 304 } 305 } 306 } 307 308 pc_gamg->data_sz = arrsz; 309 PetscFunctionReturn(0); 310 } 311 EXTERN_C_END 312 313 typedef PetscInt NState; 314 static const NState NOT_DONE=-2; 315 static const NState DELETED =-1; 316 static const NState REMOVED =-3; 317 #define IS_SELECTED(s) (s!=DELETED && s!=NOT_DONE && s!=REMOVED) 318 319 /* -------------------------------------------------------------------------- */ 320 /* 321 smoothAggs - greedy grab of with G1 (unsquared graph) -- AIJ specific 322 - AGG-MG specific: clears singletons out of 'selected_2' 323 324 Input Parameter: 325 . Gmat_2 - glabal matrix of graph (data not defined) 326 . Gmat_1 - base graph to grab with 327 Input/Output Parameter: 328 . aggs_2 - linked list of aggs with gids) 329 */ 330 #undef __FUNCT__ 331 #define __FUNCT__ "smoothAggs" 332 static PetscErrorCode smoothAggs(const Mat Gmat_2, /* base (squared) graph */ 333 const Mat Gmat_1, /* base graph */ 334 /* const IS selected_2, [nselected local] selected vertices */ 335 PetscCoarsenData *aggs_2) /* [nselected local] global ID of aggregate */ 336 { 337 PetscErrorCode ierr; 338 PetscBool isMPI; 339 Mat_SeqAIJ *matA_1, *matB_1=0, *matA_2, *matB_2=0; 340 MPI_Comm comm; 341 PetscMPIInt rank,size; 342 PetscInt lid,*ii,*idx,ix,Iend,my0,kk,n,j; 343 Mat_MPIAIJ *mpimat_2 = 0, *mpimat_1=0; 344 const PetscInt nloc = Gmat_2->rmap->n; 345 PetscScalar *cpcol_1_state,*cpcol_2_state,*cpcol_2_par_orig,*lid_parent_gid; 346 PetscInt *lid_cprowID_1; 347 NState *lid_state; 348 Vec ghost_par_orig2; 349 350 PetscFunctionBegin; 351 ierr = PetscObjectGetComm((PetscObject)Gmat_2,&comm);CHKERRQ(ierr); 352 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 353 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 354 ierr = MatGetOwnershipRange(Gmat_1,&my0,&Iend);CHKERRQ(ierr); 355 356 if (PETSC_FALSE) { 357 PetscViewer viewer; char fname[32]; static int llev=0; 358 sprintf(fname,"Gmat2_%d.m",llev++); 359 PetscViewerASCIIOpen(comm,fname,&viewer); 360 ierr = PetscViewerSetFormat(viewer, PETSC_VIEWER_ASCII_MATLAB);CHKERRQ(ierr); 361 ierr = MatView(Gmat_2, viewer);CHKERRQ(ierr); 362 ierr = PetscViewerDestroy(&viewer); 363 } 364 365 /* get submatrices */ 366 ierr = PetscObjectTypeCompare((PetscObject)Gmat_1, MATMPIAIJ, &isMPI);CHKERRQ(ierr); 367 if (isMPI) { 368 /* grab matrix objects */ 369 mpimat_2 = (Mat_MPIAIJ*)Gmat_2->data; 370 mpimat_1 = (Mat_MPIAIJ*)Gmat_1->data; 371 matA_1 = (Mat_SeqAIJ*)mpimat_1->A->data; 372 matB_1 = (Mat_SeqAIJ*)mpimat_1->B->data; 373 matA_2 = (Mat_SeqAIJ*)mpimat_2->A->data; 374 matB_2 = (Mat_SeqAIJ*)mpimat_2->B->data; 375 376 /* force compressed row storage for B matrix in AuxMat */ 377 matB_1->compressedrow.check = PETSC_TRUE; 378 379 ierr = MatCheckCompressedRow(mpimat_1->B,&matB_1->compressedrow,matB_1->i,Gmat_1->rmap->n,-1.0);CHKERRQ(ierr); 380 381 ierr = PetscMalloc(nloc*sizeof(PetscInt), &lid_cprowID_1);CHKERRQ(ierr); 382 for (lid = 0; lid < nloc; lid++) lid_cprowID_1[lid] = -1; 383 for (ix=0; ix<matB_1->compressedrow.nrows; ix++) { 384 PetscInt lid = matB_1->compressedrow.rindex[ix]; 385 lid_cprowID_1[lid] = ix; 386 } 387 } else { 388 matA_1 = (Mat_SeqAIJ*)Gmat_1->data; 389 matA_2 = (Mat_SeqAIJ*)Gmat_2->data; 390 lid_cprowID_1 = NULL; 391 } 392 if (!(matA_1 && !matA_1->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matA_1 && !matA_1->compressedrow.use)"); 393 if (!(matB_1==0 || matB_1->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matB_1==0 || matB_1->compressedrow.use)"); 394 if (!(matA_2 && !matA_2->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matA_2 && !matA_2->compressedrow.use)"); 395 if (!(matB_2==0 || matB_2->compressedrow.use)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"!(matB_2==0 || matB_2->compressedrow.use)"); 396 397 /* get state of locals and selected gid for deleted */ 398 ierr = PetscMalloc(nloc*sizeof(NState), &lid_state);CHKERRQ(ierr); 399 ierr = PetscMalloc(nloc*sizeof(PetscScalar), &lid_parent_gid);CHKERRQ(ierr); 400 for (lid = 0; lid < nloc; lid++) { 401 lid_parent_gid[lid] = -1.0; 402 lid_state[lid] = DELETED; 403 } 404 405 /* set lid_state */ 406 for (lid = 0; lid < nloc; lid++) { 407 PetscCDPos pos; 408 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 409 if (pos) { 410 PetscInt gid1; 411 412 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 413 if (gid1 != lid+my0) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"gid1 %D != lid %D + my0 %D",gid1,lid,my0); 414 lid_state[lid] = gid1; 415 } 416 } 417 418 /* map local to selected local, DELETED means a ghost owns it */ 419 for (lid=kk=0; lid<nloc; lid++) { 420 NState state = lid_state[lid]; 421 if (IS_SELECTED(state)) { 422 PetscCDPos pos; 423 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 424 while (pos) { 425 PetscInt gid1; 426 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 427 ierr = PetscCDGetNextPos(aggs_2,lid,&pos);CHKERRQ(ierr); 428 429 if (gid1 >= my0 && gid1 < Iend) lid_parent_gid[gid1-my0] = (PetscScalar)(lid + my0); 430 } 431 } 432 } 433 /* get 'cpcol_1/2_state' & cpcol_2_par_orig - uses mpimat_1/2->lvec for temp space */ 434 if (isMPI) { 435 Vec tempVec; 436 /* get 'cpcol_1_state' */ 437 ierr = MatGetVecs(Gmat_1, &tempVec, 0);CHKERRQ(ierr); 438 for (kk=0,j=my0; kk<nloc; kk++,j++) { 439 PetscScalar v = (PetscScalar)lid_state[kk]; 440 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 441 } 442 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 443 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 444 ierr = VecScatterBegin(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 445 ierr = VecScatterEnd(mpimat_1->Mvctx,tempVec, mpimat_1->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 446 ierr = VecGetArray(mpimat_1->lvec, &cpcol_1_state);CHKERRQ(ierr); 447 /* get 'cpcol_2_state' */ 448 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 449 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, mpimat_2->lvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 450 ierr = VecGetArray(mpimat_2->lvec, &cpcol_2_state);CHKERRQ(ierr); 451 /* get 'cpcol_2_par_orig' */ 452 for (kk=0,j=my0; kk<nloc; kk++,j++) { 453 PetscScalar v = (PetscScalar)lid_parent_gid[kk]; 454 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 455 } 456 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 457 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 458 ierr = VecDuplicate(mpimat_2->lvec, &ghost_par_orig2);CHKERRQ(ierr); 459 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghost_par_orig2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 460 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghost_par_orig2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 461 ierr = VecGetArray(ghost_par_orig2, &cpcol_2_par_orig);CHKERRQ(ierr); 462 463 ierr = VecDestroy(&tempVec);CHKERRQ(ierr); 464 } /* ismpi */ 465 466 /* doit */ 467 for (lid=0; lid<nloc; lid++) { 468 NState state = lid_state[lid]; 469 if (IS_SELECTED(state)) { 470 /* steal locals */ 471 ii = matA_1->i; n = ii[lid+1] - ii[lid]; 472 idx = matA_1->j + ii[lid]; 473 for (j=0; j<n; j++) { 474 PetscInt lidj = idx[j], sgid; 475 NState statej = lid_state[lidj]; 476 if (statej==DELETED && (sgid=(PetscInt)PetscRealPart(lid_parent_gid[lidj])) != lid+my0) { /* steal local */ 477 lid_parent_gid[lidj] = (PetscScalar)(lid+my0); /* send this if sgid is not local */ 478 if (sgid >= my0 && sgid < Iend) { /* I'm stealing this local from a local sgid */ 479 PetscInt hav=0,slid=sgid-my0,gidj=lidj+my0; 480 PetscCDPos pos,last=NULL; 481 /* looking for local from local so id_llist_2 works */ 482 ierr = PetscCDGetHeadPos(aggs_2,slid,&pos);CHKERRQ(ierr); 483 while (pos) { 484 PetscInt gid; 485 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 486 if (gid == gidj) { 487 if (!last) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"last cannot be null"); 488 ierr = PetscCDRemoveNextNode(aggs_2, slid, last);CHKERRQ(ierr); 489 ierr = PetscCDAppendNode(aggs_2, lid, pos);CHKERRQ(ierr); 490 hav = 1; 491 break; 492 } else last = pos; 493 494 ierr = PetscCDGetNextPos(aggs_2,slid,&pos);CHKERRQ(ierr); 495 } 496 if (hav!=1) { 497 if (!hav) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); 498 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"found node %d times???",hav); 499 } 500 } else { /* I'm stealing this local, owned by a ghost */ 501 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."); 502 ierr = PetscCDAppendID(aggs_2, lid, lidj+my0);CHKERRQ(ierr); 503 } 504 } 505 } /* local neighbors */ 506 } else if (state == DELETED && lid_cprowID_1) { 507 PetscInt sgidold = (PetscInt)PetscRealPart(lid_parent_gid[lid]); 508 /* see if I have a selected ghost neighbor that will steal me */ 509 if ((ix=lid_cprowID_1[lid]) != -1) { 510 ii = matB_1->compressedrow.i; n = ii[ix+1] - ii[ix]; 511 idx = matB_1->j + ii[ix]; 512 for (j=0; j<n; j++) { 513 PetscInt cpid = idx[j]; 514 NState statej = (NState)PetscRealPart(cpcol_1_state[cpid]); 515 if (IS_SELECTED(statej) && sgidold != (PetscInt)statej) { /* ghost will steal this, remove from my list */ 516 lid_parent_gid[lid] = (PetscScalar)statej; /* send who selected */ 517 if (sgidold>=my0 && sgidold<Iend) { /* this was mine */ 518 PetscInt hav=0,oldslidj=sgidold-my0; 519 PetscCDPos pos,last=NULL; 520 /* remove from 'oldslidj' list */ 521 ierr = PetscCDGetHeadPos(aggs_2,oldslidj,&pos);CHKERRQ(ierr); 522 while (pos) { 523 PetscInt gid; 524 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 525 if (lid+my0 == gid) { 526 /* id_llist_2[lastid] = id_llist_2[flid]; /\* remove lid from oldslidj list *\/ */ 527 if (!last) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"last cannot be null"); 528 ierr = PetscCDRemoveNextNode(aggs_2, oldslidj, last);CHKERRQ(ierr); 529 /* ghost (PetscScalar)statej will add this later */ 530 hav = 1; 531 break; 532 } else last = pos; 533 534 ierr = PetscCDGetNextPos(aggs_2,oldslidj,&pos);CHKERRQ(ierr); 535 } 536 if (hav!=1) { 537 if (hav==0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"failed to find adj in 'selected' lists - structurally unsymmetric matrix"); 538 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"found node %d times???",hav); 539 } 540 } else { 541 /* ghosts remove this later */ 542 } 543 } 544 } 545 } 546 } /* selected/deleted */ 547 } /* node loop */ 548 549 if (isMPI) { 550 PetscScalar *cpcol_2_parent,*cpcol_2_gid; 551 Vec tempVec,ghostgids2,ghostparents2; 552 PetscInt cpid,nghost_2; 553 GAMGHashTable gid_cpid; 554 555 ierr = VecGetSize(mpimat_2->lvec, &nghost_2);CHKERRQ(ierr); 556 ierr = MatGetVecs(Gmat_2, &tempVec, 0);CHKERRQ(ierr); 557 558 /* get 'cpcol_2_parent' */ 559 for (kk=0,j=my0; kk<nloc; kk++,j++) { 560 ierr = VecSetValues(tempVec, 1, &j, &lid_parent_gid[kk], INSERT_VALUES);CHKERRQ(ierr); 561 } 562 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 563 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 564 ierr = VecDuplicate(mpimat_2->lvec, &ghostparents2);CHKERRQ(ierr); 565 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghostparents2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 566 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghostparents2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 567 ierr = VecGetArray(ghostparents2, &cpcol_2_parent);CHKERRQ(ierr); 568 569 /* get 'cpcol_2_gid' */ 570 for (kk=0,j=my0; kk<nloc; kk++,j++) { 571 PetscScalar v = (PetscScalar)j; 572 ierr = VecSetValues(tempVec, 1, &j, &v, INSERT_VALUES);CHKERRQ(ierr); 573 } 574 ierr = VecAssemblyBegin(tempVec);CHKERRQ(ierr); 575 ierr = VecAssemblyEnd(tempVec);CHKERRQ(ierr); 576 ierr = VecDuplicate(mpimat_2->lvec, &ghostgids2);CHKERRQ(ierr); 577 ierr = VecScatterBegin(mpimat_2->Mvctx,tempVec, ghostgids2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 578 ierr = VecScatterEnd(mpimat_2->Mvctx,tempVec, ghostgids2,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 579 ierr = VecGetArray(ghostgids2, &cpcol_2_gid);CHKERRQ(ierr); 580 581 ierr = VecDestroy(&tempVec);CHKERRQ(ierr); 582 583 /* look for deleted ghosts and add to table */ 584 ierr = GAMGTableCreate(2*nghost_2+1, &gid_cpid);CHKERRQ(ierr); 585 for (cpid = 0; cpid < nghost_2; cpid++) { 586 NState state = (NState)PetscRealPart(cpcol_2_state[cpid]); 587 if (state==DELETED) { 588 PetscInt sgid_new = (PetscInt)PetscRealPart(cpcol_2_parent[cpid]); 589 PetscInt sgid_old = (PetscInt)PetscRealPart(cpcol_2_par_orig[cpid]); 590 if (sgid_old == -1 && sgid_new != -1) { 591 PetscInt gid = (PetscInt)PetscRealPart(cpcol_2_gid[cpid]); 592 ierr = GAMGTableAdd(&gid_cpid, gid, cpid);CHKERRQ(ierr); 593 } 594 } 595 } 596 597 /* look for deleted ghosts and see if they moved - remove it */ 598 for (lid=0; lid<nloc; lid++) { 599 NState state = lid_state[lid]; 600 if (IS_SELECTED(state)) { 601 PetscCDPos pos,last=NULL; 602 /* look for deleted ghosts and see if they moved */ 603 ierr = PetscCDGetHeadPos(aggs_2,lid,&pos);CHKERRQ(ierr); 604 while (pos) { 605 PetscInt gid; 606 ierr = PetscLLNGetID(pos, &gid);CHKERRQ(ierr); 607 608 if (gid < my0 || gid >= Iend) { 609 ierr = GAMGTableFind(&gid_cpid, gid, &cpid);CHKERRQ(ierr); 610 if (cpid != -1) { 611 /* a moved ghost - */ 612 /* id_llist_2[lastid] = id_llist_2[flid]; /\* remove 'flid' from list *\/ */ 613 ierr = PetscCDRemoveNextNode(aggs_2, lid, last);CHKERRQ(ierr); 614 } else last = pos; 615 } else last = pos; 616 617 ierr = PetscCDGetNextPos(aggs_2,lid,&pos);CHKERRQ(ierr); 618 } /* loop over list of deleted */ 619 } /* selected */ 620 } 621 ierr = GAMGTableDestroy(&gid_cpid);CHKERRQ(ierr); 622 623 /* look at ghosts, see if they changed - and it */ 624 for (cpid = 0; cpid < nghost_2; cpid++) { 625 PetscInt sgid_new = (PetscInt)PetscRealPart(cpcol_2_parent[cpid]); 626 if (sgid_new >= my0 && sgid_new < Iend) { /* this is mine */ 627 PetscInt gid = (PetscInt)PetscRealPart(cpcol_2_gid[cpid]); 628 PetscInt slid_new=sgid_new-my0,hav=0; 629 PetscCDPos pos; 630 /* search for this gid to see if I have it */ 631 ierr = PetscCDGetHeadPos(aggs_2,slid_new,&pos);CHKERRQ(ierr); 632 while (pos) { 633 PetscInt gidj; 634 ierr = PetscLLNGetID(pos, &gidj);CHKERRQ(ierr); 635 ierr = PetscCDGetNextPos(aggs_2,slid_new,&pos);CHKERRQ(ierr); 636 637 if (gidj == gid) { hav = 1; break; } 638 } 639 if (hav != 1) { 640 /* insert 'flidj' into head of llist */ 641 ierr = PetscCDAppendID(aggs_2, slid_new, gid);CHKERRQ(ierr); 642 } 643 } 644 } 645 646 ierr = VecRestoreArray(mpimat_1->lvec, &cpcol_1_state);CHKERRQ(ierr); 647 ierr = VecRestoreArray(mpimat_2->lvec, &cpcol_2_state);CHKERRQ(ierr); 648 ierr = VecRestoreArray(ghostparents2, &cpcol_2_parent);CHKERRQ(ierr); 649 ierr = VecRestoreArray(ghostgids2, &cpcol_2_gid);CHKERRQ(ierr); 650 ierr = PetscFree(lid_cprowID_1);CHKERRQ(ierr); 651 ierr = VecDestroy(&ghostgids2);CHKERRQ(ierr); 652 ierr = VecDestroy(&ghostparents2);CHKERRQ(ierr); 653 ierr = VecDestroy(&ghost_par_orig2);CHKERRQ(ierr); 654 } 655 656 ierr = PetscFree(lid_parent_gid);CHKERRQ(ierr); 657 ierr = PetscFree(lid_state);CHKERRQ(ierr); 658 PetscFunctionReturn(0); 659 } 660 661 /* -------------------------------------------------------------------------- */ 662 /* 663 PCSetData_AGG - called if data is not set with PCSetCoordinates. 664 Looks in Mat for near null space. 665 Does not work for Stokes 666 667 Input Parameter: 668 . pc - 669 . a_A - matrix to get (near) null space out of. 670 */ 671 #undef __FUNCT__ 672 #define __FUNCT__ "PCSetData_AGG" 673 PetscErrorCode PCSetData_AGG(PC pc, Mat a_A) 674 { 675 PetscErrorCode ierr; 676 PC_MG *mg = (PC_MG*)pc->data; 677 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 678 MatNullSpace mnull; 679 680 PetscFunctionBegin; 681 ierr = MatGetNearNullSpace(a_A, &mnull);CHKERRQ(ierr); 682 if (!mnull) { 683 PetscInt bs,NN,MM; 684 ierr = MatGetBlockSize(a_A, &bs);CHKERRQ(ierr); 685 ierr = MatGetLocalSize(a_A, &MM, &NN);CHKERRQ(ierr); 686 if (MM % bs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"MM %D must be divisible by bs %D",MM,bs); 687 ierr = PCSetCoordinates_AGG(pc, bs, MM/bs, NULL);CHKERRQ(ierr); 688 } else { 689 PetscReal *nullvec; 690 PetscBool has_const; 691 PetscInt i,j,mlocal,nvec,bs; 692 const Vec *vecs; const PetscScalar *v; 693 ierr = MatGetLocalSize(a_A,&mlocal,NULL);CHKERRQ(ierr); 694 ierr = MatNullSpaceGetVecs(mnull, &has_const, &nvec, &vecs);CHKERRQ(ierr); 695 ierr = PetscMalloc((nvec+!!has_const)*mlocal*sizeof(*nullvec),&nullvec);CHKERRQ(ierr); 696 if (has_const) for (i=0; i<mlocal; i++) nullvec[i] = 1.0; 697 for (i=0; i<nvec; i++) { 698 ierr = VecGetArrayRead(vecs[i],&v);CHKERRQ(ierr); 699 for (j=0; j<mlocal; j++) nullvec[(i+!!has_const)*mlocal + j] = PetscRealPart(v[j]); 700 ierr = VecRestoreArrayRead(vecs[i],&v);CHKERRQ(ierr); 701 } 702 pc_gamg->data = nullvec; 703 pc_gamg->data_cell_cols = (nvec+!!has_const); 704 705 ierr = MatGetBlockSize(a_A, &bs);CHKERRQ(ierr); /* this does not work for Stokes */ 706 707 pc_gamg->data_cell_rows = bs; 708 } 709 PetscFunctionReturn(0); 710 } 711 712 /* -------------------------------------------------------------------------- */ 713 /* 714 formProl0 715 716 Input Parameter: 717 . agg_llists - list of arrays with aggregates 718 . bs - block size 719 . nSAvec - column bs of new P 720 . my0crs - global index of start of locals 721 . data_stride - bs*(nloc nodes + ghost nodes) 722 . data_in[data_stride*nSAvec] - local data on fine grid 723 . flid_fgid[data_stride/bs] - make local to global IDs, includes ghosts in 'locals_llist' 724 Output Parameter: 725 . a_data_out - in with fine grid data (w/ghosts), out with coarse grid data 726 . a_Prol - prolongation operator 727 */ 728 #undef __FUNCT__ 729 #define __FUNCT__ "formProl0" 730 static PetscErrorCode formProl0(const PetscCoarsenData *agg_llists, /* list from selected vertices of aggregate unselected vertices */ 731 const PetscInt bs, /* (row) block size */ 732 const PetscInt nSAvec, /* column bs */ 733 const PetscInt my0crs, /* global index of start of locals */ 734 const PetscInt data_stride, /* (nloc+nghost)*bs */ 735 PetscReal data_in[], /* [data_stride][nSAvec] */ 736 const PetscInt flid_fgid[], /* [data_stride/bs] */ 737 PetscReal **a_data_out, 738 Mat a_Prol) /* prolongation operator (output)*/ 739 { 740 PetscErrorCode ierr; 741 PetscInt Istart,my0,Iend,nloc,clid,flid,aggID,kk,jj,ii,mm,ndone,nSelected,minsz,nghosts,out_data_stride; 742 MPI_Comm comm; 743 PetscMPIInt rank, size; 744 PetscReal *out_data; 745 PetscCDPos pos; 746 GAMGHashTable fgid_flid; 747 748 /* #define OUT_AGGS */ 749 #if defined(OUT_AGGS) 750 static PetscInt llev = 0; char fname[32]; FILE *file = NULL; PetscInt pM; 751 #endif 752 753 PetscFunctionBegin; 754 ierr = PetscObjectGetComm((PetscObject)a_Prol,&comm);CHKERRQ(ierr); 755 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 756 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 757 ierr = MatGetOwnershipRange(a_Prol, &Istart, &Iend);CHKERRQ(ierr); 758 nloc = (Iend-Istart)/bs; my0 = Istart/bs; 759 if ((Iend-Istart) % bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Iend %D - Istart %d must be divisible by bs %D",Iend,Istart,bs); 760 Iend /= bs; 761 nghosts = data_stride/bs - nloc; 762 763 ierr = GAMGTableCreate(2*nghosts+1, &fgid_flid);CHKERRQ(ierr); 764 for (kk=0; kk<nghosts; kk++) { 765 ierr = GAMGTableAdd(&fgid_flid, flid_fgid[nloc+kk], nloc+kk);CHKERRQ(ierr); 766 } 767 768 #if defined(OUT_AGGS) 769 sprintf(fname,"aggs_%d_%d.m",llev++,rank); 770 if (llev==1) file = fopen(fname,"w"); 771 MatGetSize(a_Prol, &pM, &jj); 772 #endif 773 774 /* count selected -- same as number of cols of P */ 775 for (nSelected=mm=0; mm<nloc; mm++) { 776 PetscBool ise; 777 ierr = PetscCDEmptyAt(agg_llists, mm, &ise);CHKERRQ(ierr); 778 if (!ise) nSelected++; 779 } 780 ierr = MatGetOwnershipRangeColumn(a_Prol, &ii, &jj);CHKERRQ(ierr); 781 if ((ii/nSAvec) != my0crs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"ii %D /nSAvec %D != my0crs %D",ii,nSAvec,my0crs); 782 if (nSelected != (jj-ii)/nSAvec) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_PLIB,"nSelected %D != (jj %D - ii %D)/nSAvec %D",nSelected,jj,ii,nSAvec); 783 784 /* aloc space for coarse point data (output) */ 785 out_data_stride = nSelected*nSAvec; 786 787 ierr = PetscMalloc(out_data_stride*nSAvec*sizeof(PetscReal), &out_data);CHKERRQ(ierr); 788 for (ii=0;ii<out_data_stride*nSAvec;ii++) out_data[ii]=1.e300; 789 *a_data_out = out_data; /* output - stride nSelected*nSAvec */ 790 791 /* find points and set prolongation */ 792 minsz = 100; 793 ndone = 0; 794 for (mm = clid = 0; mm < nloc; mm++) { 795 ierr = PetscCDSizeAt(agg_llists, mm, &jj);CHKERRQ(ierr); 796 if (jj > 0) { 797 const PetscInt lid = mm, cgid = my0crs + clid; 798 PetscInt cids[100]; /* max bs */ 799 PetscBLASInt asz =jj,M=asz*bs,N=nSAvec,INFO; 800 PetscBLASInt Mdata=M+((N-M>0) ? N-M : 0),LDA=Mdata,LWORK=N*bs; 801 PetscScalar *qqc,*qqr,*TAU,*WORK; 802 PetscInt *fids; 803 PetscReal *data; 804 /* count agg */ 805 if (asz<minsz) minsz = asz; 806 807 /* get block */ 808 ierr = PetscMalloc((Mdata*N)*sizeof(PetscScalar), &qqc);CHKERRQ(ierr); 809 ierr = PetscMalloc((M*N)*sizeof(PetscScalar), &qqr);CHKERRQ(ierr); 810 ierr = PetscMalloc(N*sizeof(PetscScalar), &TAU);CHKERRQ(ierr); 811 ierr = PetscMalloc(LWORK*sizeof(PetscScalar), &WORK);CHKERRQ(ierr); 812 ierr = PetscMalloc(M*sizeof(PetscInt), &fids);CHKERRQ(ierr); 813 814 aggID = 0; 815 ierr = PetscCDGetHeadPos(agg_llists,lid,&pos);CHKERRQ(ierr); 816 while (pos) { 817 PetscInt gid1; 818 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 819 ierr = PetscCDGetNextPos(agg_llists,lid,&pos);CHKERRQ(ierr); 820 821 if (gid1 >= my0 && gid1 < Iend) flid = gid1 - my0; 822 else { 823 ierr = GAMGTableFind(&fgid_flid, gid1, &flid);CHKERRQ(ierr); 824 if (flid < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Cannot find gid1 in table"); 825 } 826 /* copy in B_i matrix - column oriented */ 827 data = &data_in[flid*bs]; 828 for (kk = ii = 0; ii < bs; ii++) { 829 for (jj = 0; jj < N; jj++) { 830 PetscReal d = data[jj*data_stride + ii]; 831 qqc[jj*Mdata + aggID*bs + ii] = d; 832 } 833 } 834 #if defined(OUT_AGGS) 835 if (llev==1) { 836 char str[] = "plot(%e,%e,'r*'), hold on,\n", col[] = "rgbkmc", sim[] = "*os+h>d<vx^"; 837 PetscInt MM,pi,pj; 838 str[12] = col[(clid+17*rank)%6]; str[13] = sim[(clid+17*rank)%11]; 839 MM = (PetscInt)(PetscSqrtReal((PetscReal)pM)); 840 pj = gid1/MM; pi = gid1%MM; 841 fprintf(file,str,(double)pi,(double)pj); 842 /* fprintf(file,str,data[2*data_stride+1],-data[2*data_stride]); */ 843 } 844 #endif 845 /* set fine IDs */ 846 for (kk=0; kk<bs; kk++) fids[aggID*bs + kk] = flid_fgid[flid]*bs + kk; 847 848 aggID++; 849 } 850 851 /* pad with zeros */ 852 for (ii = asz*bs; ii < Mdata; ii++) { 853 for (jj = 0; jj < N; jj++, kk++) { 854 qqc[jj*Mdata + ii] = .0; 855 } 856 } 857 858 ndone += aggID; 859 /* QR */ 860 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 861 PetscStackCall("LAPACKgeqrf",LAPACKgeqrf_(&Mdata, &N, qqc, &LDA, TAU, WORK, &LWORK, &INFO)); 862 ierr = PetscFPTrapPop();CHKERRQ(ierr); 863 if (INFO != 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"xGEQRF error"); 864 /* get R - column oriented - output B_{i+1} */ 865 { 866 PetscReal *data = &out_data[clid*nSAvec]; 867 for (jj = 0; jj < nSAvec; jj++) { 868 for (ii = 0; ii < nSAvec; ii++) { 869 if (data[jj*out_data_stride + ii] != 1.e300) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"data[jj*out_data_stride + ii] != 1.e300"); 870 if (ii <= jj) data[jj*out_data_stride + ii] = PetscRealPart(qqc[jj*Mdata + ii]); 871 else data[jj*out_data_stride + ii] = 0.; 872 } 873 } 874 } 875 876 /* get Q - row oriented */ 877 PetscStackCall("LAPACKungqr",LAPACKungqr_(&Mdata, &N, &N, qqc, &LDA, TAU, WORK, &LWORK, &INFO)); 878 if (INFO != 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"xORGQR error arg %d",-INFO); 879 880 for (ii = 0; ii < M; ii++) { 881 for (jj = 0; jj < N; jj++) { 882 qqr[N*ii + jj] = qqc[jj*Mdata + ii]; 883 } 884 } 885 886 /* add diagonal block of P0 */ 887 for (kk=0; kk<N; kk++) { 888 cids[kk] = N*cgid + kk; /* global col IDs in P0 */ 889 } 890 ierr = MatSetValues(a_Prol,M,fids,N,cids,qqr,INSERT_VALUES);CHKERRQ(ierr); 891 892 ierr = PetscFree(qqc);CHKERRQ(ierr); 893 ierr = PetscFree(qqr);CHKERRQ(ierr); 894 ierr = PetscFree(TAU);CHKERRQ(ierr); 895 ierr = PetscFree(WORK);CHKERRQ(ierr); 896 ierr = PetscFree(fids);CHKERRQ(ierr); 897 clid++; 898 } /* coarse agg */ 899 } /* for all fine nodes */ 900 ierr = MatAssemblyBegin(a_Prol,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 901 ierr = MatAssemblyEnd(a_Prol,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 902 903 /* ierr = MPI_Allreduce(&ndone, &ii, 1, MPIU_INT, MPIU_SUM, comm); */ 904 /* MatGetSize(a_Prol, &kk, &jj); */ 905 /* ierr = MPI_Allreduce(&minsz, &jj, 1, MPIU_INT, MPIU_MIN, comm); */ 906 /* PetscPrintf(comm," **** [%d]%s %d total done, %d nodes (%d local done), min agg. size = %d\n",rank,__FUNCT__,ii,kk/bs,ndone,jj); */ 907 908 #if defined(OUT_AGGS) 909 if (llev==1) fclose(file); 910 #endif 911 ierr = GAMGTableDestroy(&fgid_flid);CHKERRQ(ierr); 912 PetscFunctionReturn(0); 913 } 914 915 /* -------------------------------------------------------------------------- */ 916 /* 917 PCGAMGgraph_AGG 918 919 Input Parameter: 920 . pc - this 921 . Amat - matrix on this fine level 922 Output Parameter: 923 . a_Gmat - 924 */ 925 #undef __FUNCT__ 926 #define __FUNCT__ "PCGAMGgraph_AGG" 927 PetscErrorCode PCGAMGgraph_AGG(PC pc,const Mat Amat,Mat *a_Gmat) 928 { 929 PetscErrorCode ierr; 930 PC_MG *mg = (PC_MG*)pc->data; 931 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 932 const PetscInt verbose = pc_gamg->verbose; 933 const PetscReal vfilter = pc_gamg->threshold; 934 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 935 PetscMPIInt rank,size; 936 Mat Gmat; 937 MPI_Comm comm; 938 PetscBool /* set,flg , */ symm; 939 940 PetscFunctionBegin; 941 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 942 #if defined PETSC_USE_LOG 943 ierr = PetscLogEventBegin(PC_GAMGGgraph_AGG,0,0,0,0);CHKERRQ(ierr); 944 #endif 945 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 946 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 947 948 /* ierr = MatIsSymmetricKnown(Amat, &set, &flg);CHKERRQ(ierr); || !(set && flg) -- this causes lot of symm calls */ 949 symm = (PetscBool)(pc_gamg_agg->sym_graph); /* && !pc_gamg_agg->square_graph; */ 950 951 ierr = PCGAMGCreateGraph(Amat, &Gmat);CHKERRQ(ierr); 952 ierr = PCGAMGFilterGraph(&Gmat, vfilter, symm, verbose);CHKERRQ(ierr); 953 954 *a_Gmat = Gmat; 955 956 #if defined PETSC_USE_LOG 957 ierr = PetscLogEventEnd(PC_GAMGGgraph_AGG,0,0,0,0);CHKERRQ(ierr); 958 #endif 959 PetscFunctionReturn(0); 960 } 961 962 /* -------------------------------------------------------------------------- */ 963 /* 964 PCGAMGCoarsen_AGG 965 966 Input Parameter: 967 . a_pc - this 968 Input/Output Parameter: 969 . a_Gmat1 - graph on this fine level - coarsening can change this (squares it) 970 Output Parameter: 971 . agg_lists - list of aggregates 972 */ 973 #undef __FUNCT__ 974 #define __FUNCT__ "PCGAMGCoarsen_AGG" 975 PetscErrorCode PCGAMGCoarsen_AGG(PC a_pc,Mat *a_Gmat1,PetscCoarsenData **agg_lists) 976 { 977 PetscErrorCode ierr; 978 PC_MG *mg = (PC_MG*)a_pc->data; 979 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 980 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 981 Mat mat,Gmat2, Gmat1 = *a_Gmat1; /* squared graph */ 982 const PetscInt verbose = pc_gamg->verbose; 983 IS perm; 984 PetscInt Ii,nloc,bs,n,m; 985 PetscInt *permute; 986 PetscBool *bIndexSet; 987 MatCoarsen crs; 988 MPI_Comm comm; 989 PetscMPIInt rank,size; 990 991 PetscFunctionBegin; 992 #if defined PETSC_USE_LOG 993 ierr = PetscLogEventBegin(PC_GAMGCoarsen_AGG,0,0,0,0);CHKERRQ(ierr); 994 #endif 995 ierr = PetscObjectGetComm((PetscObject)Gmat1,&comm);CHKERRQ(ierr); 996 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 997 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 998 ierr = MatGetLocalSize(Gmat1, &n, &m);CHKERRQ(ierr); 999 ierr = MatGetBlockSize(Gmat1, &bs);CHKERRQ(ierr); 1000 if (bs != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"bs %D must be 1",bs); 1001 nloc = n/bs; 1002 1003 if (pc_gamg_agg->square_graph) { 1004 if (verbose > 1) PetscPrintf(comm,"[%d]%s square graph\n",rank,__FUNCT__); 1005 /* ierr = MatMatTransposeMult(Gmat1, Gmat1, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2); */ 1006 ierr = MatTransposeMatMult(Gmat1, Gmat1, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat2);CHKERRQ(ierr); 1007 if (verbose > 2) { 1008 ierr = PetscPrintf(comm,"[%d]%s square graph done\n",rank,__FUNCT__);CHKERRQ(ierr); 1009 /* check for symetry */ 1010 if (verbose > 4) { 1011 1012 } 1013 } 1014 } else Gmat2 = Gmat1; 1015 1016 /* get MIS aggs */ 1017 /* randomize */ 1018 ierr = PetscMalloc(nloc*sizeof(PetscInt), &permute);CHKERRQ(ierr); 1019 ierr = PetscMalloc(nloc*sizeof(PetscBool), &bIndexSet);CHKERRQ(ierr); 1020 for (Ii = 0; Ii < nloc; Ii++) { 1021 bIndexSet[Ii] = PETSC_FALSE; 1022 permute[Ii] = Ii; 1023 } 1024 srand(1); /* make deterministic */ 1025 for (Ii = 0; Ii < nloc; Ii++) { 1026 PetscInt iSwapIndex = rand()%nloc; 1027 if (!bIndexSet[iSwapIndex] && iSwapIndex != Ii) { 1028 PetscInt iTemp = permute[iSwapIndex]; 1029 permute[iSwapIndex] = permute[Ii]; 1030 permute[Ii] = iTemp; 1031 bIndexSet[iSwapIndex] = PETSC_TRUE; 1032 } 1033 } 1034 ierr = PetscFree(bIndexSet);CHKERRQ(ierr); 1035 1036 if (verbose > 1) PetscPrintf(comm,"[%d]%s coarsen graph\n",rank,__FUNCT__); 1037 1038 ierr = ISCreateGeneral(PETSC_COMM_SELF, nloc, permute, PETSC_USE_POINTER, &perm);CHKERRQ(ierr); 1039 #if defined PETSC_GAMG_USE_LOG 1040 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); 1041 #endif 1042 ierr = MatCoarsenCreate(comm, &crs);CHKERRQ(ierr); 1043 /* ierr = MatCoarsenSetType(crs, MATCOARSENMIS);CHKERRQ(ierr); */ 1044 ierr = MatCoarsenSetFromOptions(crs);CHKERRQ(ierr); 1045 ierr = MatCoarsenSetGreedyOrdering(crs, perm);CHKERRQ(ierr); 1046 ierr = MatCoarsenSetAdjacency(crs, Gmat2);CHKERRQ(ierr); 1047 ierr = MatCoarsenSetVerbose(crs, pc_gamg->verbose);CHKERRQ(ierr); 1048 ierr = MatCoarsenSetStrictAggs(crs, PETSC_TRUE);CHKERRQ(ierr); 1049 ierr = MatCoarsenApply(crs);CHKERRQ(ierr); 1050 ierr = MatCoarsenGetData(crs, agg_lists);CHKERRQ(ierr); /* output */ 1051 ierr = MatCoarsenDestroy(&crs);CHKERRQ(ierr); 1052 1053 ierr = ISDestroy(&perm);CHKERRQ(ierr); 1054 ierr = PetscFree(permute);CHKERRQ(ierr); 1055 #if defined PETSC_GAMG_USE_LOG 1056 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET4],0,0,0,0);CHKERRQ(ierr); 1057 #endif 1058 if (verbose > 2) PetscPrintf(comm,"[%d]%s coarsen graph done\n",rank,__FUNCT__); 1059 1060 /* smooth aggs */ 1061 if (Gmat2 != Gmat1) { 1062 const PetscCoarsenData *llist = *agg_lists; 1063 ierr = smoothAggs(Gmat2, Gmat1, *agg_lists);CHKERRQ(ierr); 1064 ierr = MatDestroy(&Gmat1);CHKERRQ(ierr); 1065 *a_Gmat1 = Gmat2; /* output */ 1066 ierr = PetscCDGetMat(llist, &mat);CHKERRQ(ierr); 1067 if (mat) SETERRQ(comm,PETSC_ERR_ARG_WRONG, "Auxilary matrix with squared graph????"); 1068 } else { 1069 const PetscCoarsenData *llist = *agg_lists; 1070 /* see if we have a matrix that takes precedence (returned from MatCoarsenAppply) */ 1071 ierr = PetscCDGetMat(llist, &mat);CHKERRQ(ierr); 1072 if (mat) { 1073 ierr = MatDestroy(&Gmat1);CHKERRQ(ierr); 1074 *a_Gmat1 = mat; /* output */ 1075 } 1076 } 1077 #if defined PETSC_USE_LOG 1078 ierr = PetscLogEventEnd(PC_GAMGCoarsen_AGG,0,0,0,0);CHKERRQ(ierr); 1079 #endif 1080 if (verbose > 2) PetscPrintf(comm,"[%d]%s PCGAMGCoarsen_AGG done\n",rank,__FUNCT__); 1081 PetscFunctionReturn(0); 1082 } 1083 1084 /* -------------------------------------------------------------------------- */ 1085 /* 1086 PCGAMGProlongator_AGG 1087 1088 Input Parameter: 1089 . pc - this 1090 . Amat - matrix on this fine level 1091 . Graph - used to get ghost data for nodes in 1092 . agg_lists - list of aggregates 1093 Output Parameter: 1094 . a_P_out - prolongation operator to the next level 1095 */ 1096 #undef __FUNCT__ 1097 #define __FUNCT__ "PCGAMGProlongator_AGG" 1098 PetscErrorCode PCGAMGProlongator_AGG(PC pc,const Mat Amat,const Mat Gmat,PetscCoarsenData *agg_lists,Mat *a_P_out) 1099 { 1100 PC_MG *mg = (PC_MG*)pc->data; 1101 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1102 const PetscInt verbose = pc_gamg->verbose; 1103 const PetscInt data_cols = pc_gamg->data_cell_cols; 1104 PetscErrorCode ierr; 1105 PetscInt Istart,Iend,nloc,ii,jj,kk,my0,nLocalSelected,bs; 1106 Mat Prol; 1107 PetscMPIInt rank, size; 1108 MPI_Comm comm; 1109 const PetscInt col_bs = data_cols; 1110 PetscReal *data_w_ghost; 1111 PetscInt myCrs0, nbnodes=0, *flid_fgid; 1112 1113 PetscFunctionBegin; 1114 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 1115 #if defined PETSC_USE_LOG 1116 ierr = PetscLogEventBegin(PC_GAMGProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1117 #endif 1118 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 1119 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 1120 ierr = MatGetOwnershipRange(Amat, &Istart, &Iend);CHKERRQ(ierr); 1121 ierr = MatGetBlockSize(Amat, &bs);CHKERRQ(ierr); 1122 nloc = (Iend-Istart)/bs; my0 = Istart/bs; 1123 if ((Iend-Istart) % bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"(Iend %D - Istart %D) not divisible by bs %D",Iend,Istart,bs); 1124 1125 /* get 'nLocalSelected' */ 1126 for (ii=0, nLocalSelected = 0; ii < nloc; ii++) { 1127 PetscBool ise; 1128 /* filter out singletons 0 or 1? */ 1129 ierr = PetscCDEmptyAt(agg_lists, ii, &ise);CHKERRQ(ierr); 1130 if (!ise) nLocalSelected++; 1131 } 1132 1133 /* create prolongator, create P matrix */ 1134 ierr = MatCreate(comm, &Prol);CHKERRQ(ierr); 1135 ierr = MatSetSizes(Prol,nloc*bs,nLocalSelected*col_bs,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 1136 ierr = MatSetBlockSizes(Prol, bs, col_bs);CHKERRQ(ierr); 1137 ierr = MatSetType(Prol, MATAIJ);CHKERRQ(ierr); 1138 ierr = MatSeqAIJSetPreallocation(Prol, data_cols, NULL);CHKERRQ(ierr); 1139 ierr = MatMPIAIJSetPreallocation(Prol,data_cols, NULL,data_cols, NULL);CHKERRQ(ierr); 1140 /* nloc*bs, nLocalSelected*col_bs, */ 1141 /* PETSC_DETERMINE, PETSC_DETERMINE, */ 1142 /* data_cols, NULL, data_cols, NULL, */ 1143 /* &Prol); */ 1144 1145 /* can get all points "removed" */ 1146 ierr = MatGetSize(Prol, &kk, &ii);CHKERRQ(ierr); 1147 if (ii==0) { 1148 if (verbose > 0) PetscPrintf(comm,"[%d]%s no selected points on coarse grid\n",rank,__FUNCT__); 1149 ierr = MatDestroy(&Prol);CHKERRQ(ierr); 1150 *a_P_out = NULL; /* out */ 1151 PetscFunctionReturn(0); 1152 } 1153 if (verbose > 0) PetscPrintf(comm,"\t\t[%d]%s New grid %d nodes\n",rank,__FUNCT__,ii/col_bs); 1154 ierr = MatGetOwnershipRangeColumn(Prol, &myCrs0, &kk);CHKERRQ(ierr); 1155 1156 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); 1157 myCrs0 = myCrs0/col_bs; 1158 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); 1159 1160 /* create global vector of data in 'data_w_ghost' */ 1161 #if defined PETSC_GAMG_USE_LOG 1162 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET7],0,0,0,0);CHKERRQ(ierr); 1163 #endif 1164 if (size > 1) { /* */ 1165 PetscReal *tmp_gdata,*tmp_ldata,*tp2; 1166 ierr = PetscMalloc(nloc*sizeof(PetscReal), &tmp_ldata);CHKERRQ(ierr); 1167 for (jj = 0; jj < data_cols; jj++) { 1168 for (kk = 0; kk < bs; kk++) { 1169 PetscInt ii,stride; 1170 const PetscReal *tp = pc_gamg->data + jj*bs*nloc + kk; 1171 for (ii = 0; ii < nloc; ii++, tp += bs) tmp_ldata[ii] = *tp; 1172 1173 ierr = PCGAMGGetDataWithGhosts(Gmat, 1, tmp_ldata, &stride, &tmp_gdata);CHKERRQ(ierr); 1174 1175 if (jj==0 && kk==0) { /* now I know how many todal nodes - allocate */ 1176 ierr = PetscMalloc(stride*bs*data_cols*sizeof(PetscReal), &data_w_ghost);CHKERRQ(ierr); 1177 nbnodes = bs*stride; 1178 } 1179 tp2 = data_w_ghost + jj*bs*stride + kk; 1180 for (ii = 0; ii < stride; ii++, tp2 += bs) *tp2 = tmp_gdata[ii]; 1181 ierr = PetscFree(tmp_gdata);CHKERRQ(ierr); 1182 } 1183 } 1184 ierr = PetscFree(tmp_ldata);CHKERRQ(ierr); 1185 } else { 1186 nbnodes = bs*nloc; 1187 data_w_ghost = (PetscReal*)pc_gamg->data; 1188 } 1189 1190 /* get P0 */ 1191 if (size > 1) { 1192 PetscReal *fid_glid_loc,*fiddata; 1193 PetscInt stride; 1194 1195 ierr = PetscMalloc(nloc*sizeof(PetscReal), &fid_glid_loc);CHKERRQ(ierr); 1196 for (kk=0; kk<nloc; kk++) fid_glid_loc[kk] = (PetscReal)(my0+kk); 1197 ierr = PCGAMGGetDataWithGhosts(Gmat, 1, fid_glid_loc, &stride, &fiddata);CHKERRQ(ierr); 1198 ierr = PetscMalloc(stride*sizeof(PetscInt), &flid_fgid);CHKERRQ(ierr); 1199 for (kk=0; kk<stride; kk++) flid_fgid[kk] = (PetscInt)fiddata[kk]; 1200 ierr = PetscFree(fiddata);CHKERRQ(ierr); 1201 1202 if (stride != nbnodes/bs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_PLIB,"stride %D != nbnodes %D/bs %D",stride,nbnodes,bs); 1203 ierr = PetscFree(fid_glid_loc);CHKERRQ(ierr); 1204 } else { 1205 ierr = PetscMalloc(nloc*sizeof(PetscInt), &flid_fgid);CHKERRQ(ierr); 1206 for (kk=0; kk<nloc; kk++) flid_fgid[kk] = my0 + kk; 1207 } 1208 #if defined PETSC_GAMG_USE_LOG 1209 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET7],0,0,0,0);CHKERRQ(ierr); 1210 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); 1211 #endif 1212 { 1213 PetscReal *data_out = NULL; 1214 ierr = formProl0(agg_lists, bs, data_cols, myCrs0, nbnodes,data_w_ghost, flid_fgid, &data_out, Prol);CHKERRQ(ierr); 1215 ierr = PetscFree(pc_gamg->data);CHKERRQ(ierr); 1216 1217 pc_gamg->data = data_out; 1218 pc_gamg->data_cell_rows = data_cols; 1219 pc_gamg->data_sz = data_cols*data_cols*nLocalSelected; 1220 } 1221 #if defined PETSC_GAMG_USE_LOG 1222 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET8],0,0,0,0);CHKERRQ(ierr); 1223 #endif 1224 if (size > 1) ierr = PetscFree(data_w_ghost);CHKERRQ(ierr); 1225 ierr = PetscFree(flid_fgid);CHKERRQ(ierr); 1226 1227 *a_P_out = Prol; /* out */ 1228 #if defined PETSC_USE_LOG 1229 ierr = PetscLogEventEnd(PC_GAMGProlongator_AGG,0,0,0,0);CHKERRQ(ierr); 1230 #endif 1231 PetscFunctionReturn(0); 1232 } 1233 1234 /* -------------------------------------------------------------------------- */ 1235 /* 1236 PCGAMGOptprol_AGG 1237 1238 Input Parameter: 1239 . pc - this 1240 . Amat - matrix on this fine level 1241 In/Output Parameter: 1242 . a_P_out - prolongation operator to the next level 1243 */ 1244 #undef __FUNCT__ 1245 #define __FUNCT__ "PCGAMGOptprol_AGG" 1246 PetscErrorCode PCGAMGOptprol_AGG(PC pc,const Mat Amat,Mat *a_P) 1247 { 1248 PetscErrorCode ierr; 1249 PC_MG *mg = (PC_MG*)pc->data; 1250 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1251 const PetscInt verbose = pc_gamg->verbose; 1252 PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; 1253 PetscInt jj; 1254 PetscMPIInt rank,size; 1255 Mat Prol = *a_P; 1256 MPI_Comm comm; 1257 1258 PetscFunctionBegin; 1259 ierr = PetscObjectGetComm((PetscObject)Amat,&comm);CHKERRQ(ierr); 1260 #if defined PETSC_USE_LOG 1261 ierr = PetscLogEventBegin(PC_GAMGOptprol_AGG,0,0,0,0);CHKERRQ(ierr); 1262 #endif 1263 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 1264 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 1265 1266 /* smooth P0 */ 1267 for (jj = 0; jj < pc_gamg_agg->nsmooths; jj++) { 1268 Mat tMat; 1269 Vec diag; 1270 PetscReal alpha, emax, emin; 1271 #if defined PETSC_GAMG_USE_LOG 1272 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); 1273 #endif 1274 if (jj == 0) { 1275 KSP eksp; 1276 Vec bb, xx; 1277 PC epc; 1278 ierr = MatGetVecs(Amat, &bb, 0);CHKERRQ(ierr); 1279 ierr = MatGetVecs(Amat, &xx, 0);CHKERRQ(ierr); 1280 { 1281 PetscRandom rctx; 1282 ierr = PetscRandomCreate(comm,&rctx);CHKERRQ(ierr); 1283 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 1284 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 1285 ierr = PetscRandomDestroy(&rctx);CHKERRQ(ierr); 1286 } 1287 1288 /* zeroing out BC rows -- needed for crazy matrices */ 1289 { 1290 PetscInt Istart,Iend,ncols,jj,Ii; 1291 PetscScalar zero = 0.0; 1292 ierr = MatGetOwnershipRange(Amat, &Istart, &Iend);CHKERRQ(ierr); 1293 for (Ii = Istart, jj = 0; Ii < Iend; Ii++, jj++) { 1294 ierr = MatGetRow(Amat,Ii,&ncols,0,0);CHKERRQ(ierr); 1295 if (ncols <= 1) { 1296 ierr = VecSetValues(bb, 1, &Ii, &zero, INSERT_VALUES);CHKERRQ(ierr); 1297 } 1298 ierr = MatRestoreRow(Amat,Ii,&ncols,0,0);CHKERRQ(ierr); 1299 } 1300 ierr = VecAssemblyBegin(bb);CHKERRQ(ierr); 1301 ierr = VecAssemblyEnd(bb);CHKERRQ(ierr); 1302 } 1303 1304 ierr = KSPCreate(comm,&eksp);CHKERRQ(ierr); 1305 ierr = KSPSetTolerances(eksp,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT,10);CHKERRQ(ierr); 1306 ierr = KSPSetNormType(eksp, KSP_NORM_NONE);CHKERRQ(ierr); 1307 ierr = KSPSetOptionsPrefix(eksp,((PetscObject)pc)->prefix);CHKERRQ(ierr); 1308 ierr = KSPAppendOptionsPrefix(eksp, "gamg_est_");CHKERRQ(ierr); 1309 ierr = KSPSetFromOptions(eksp);CHKERRQ(ierr); 1310 1311 ierr = KSPSetInitialGuessNonzero(eksp, PETSC_FALSE);CHKERRQ(ierr); 1312 ierr = KSPSetOperators(eksp, Amat, Amat, SAME_NONZERO_PATTERN);CHKERRQ(ierr); 1313 ierr = KSPSetComputeSingularValues(eksp,PETSC_TRUE);CHKERRQ(ierr); 1314 1315 ierr = KSPGetPC(eksp, &epc);CHKERRQ(ierr); 1316 ierr = PCSetType(epc, PCJACOBI);CHKERRQ(ierr); /* smoother in smoothed agg. */ 1317 1318 /* solve - keep stuff out of logging */ 1319 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 1320 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 1321 ierr = KSPSolve(eksp, bb, xx);CHKERRQ(ierr); 1322 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 1323 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 1324 1325 ierr = KSPComputeExtremeSingularValues(eksp, &emax, &emin);CHKERRQ(ierr); 1326 if (verbose > 0) { 1327 PetscPrintf(comm,"\t\t\t%s smooth P0: max eigen=%e min=%e PC=%s\n", 1328 __FUNCT__,emax,emin,PCJACOBI); 1329 } 1330 ierr = VecDestroy(&xx);CHKERRQ(ierr); 1331 ierr = VecDestroy(&bb);CHKERRQ(ierr); 1332 ierr = KSPDestroy(&eksp);CHKERRQ(ierr); 1333 1334 if (pc_gamg->emax_id == -1) { 1335 ierr = PetscObjectComposedDataRegister(&pc_gamg->emax_id);CHKERRQ(ierr); 1336 if (pc_gamg->emax_id == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"pc_gamg->emax_id == -1"); 1337 } 1338 ierr = PetscObjectComposedDataSetScalar((PetscObject)Amat, pc_gamg->emax_id, emax);CHKERRQ(ierr); 1339 } 1340 1341 /* smooth P1 := (I - omega/lam D^{-1}A)P0 */ 1342 ierr = MatMatMult(Amat, Prol, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &tMat);CHKERRQ(ierr); 1343 ierr = MatGetVecs(Amat, &diag, 0);CHKERRQ(ierr); 1344 ierr = MatGetDiagonal(Amat, diag);CHKERRQ(ierr); /* effectively PCJACOBI */ 1345 ierr = VecReciprocal(diag);CHKERRQ(ierr); 1346 ierr = MatDiagonalScale(tMat, diag, 0);CHKERRQ(ierr); 1347 ierr = VecDestroy(&diag);CHKERRQ(ierr); 1348 alpha = -1.4/emax; 1349 ierr = MatAYPX(tMat, alpha, Prol, SUBSET_NONZERO_PATTERN);CHKERRQ(ierr); 1350 ierr = MatDestroy(&Prol);CHKERRQ(ierr); 1351 Prol = tMat; 1352 #if defined PETSC_GAMG_USE_LOG 1353 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET9],0,0,0,0);CHKERRQ(ierr); 1354 #endif 1355 } 1356 #if defined PETSC_USE_LOG 1357 ierr = PetscLogEventEnd(PC_GAMGOptprol_AGG,0,0,0,0);CHKERRQ(ierr); 1358 #endif 1359 *a_P = Prol; 1360 PetscFunctionReturn(0); 1361 } 1362 1363 /* -------------------------------------------------------------------------- */ 1364 /* 1365 PCGAMGKKTProl_AGG 1366 1367 Input Parameter: 1368 . pc - this 1369 . Prol11 - matrix on this fine level 1370 . A21 - matrix on this fine level 1371 In/Output Parameter: 1372 . a_P22 - prolongation operator to the next level 1373 */ 1374 #undef __FUNCT__ 1375 #define __FUNCT__ "PCGAMGKKTProl_AGG" 1376 PetscErrorCode PCGAMGKKTProl_AGG(PC pc,const Mat Prol11,const Mat A21,Mat *a_P22) 1377 { 1378 PetscErrorCode ierr; 1379 PC_MG *mg = (PC_MG*)pc->data; 1380 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1381 const PetscInt verbose = pc_gamg->verbose; 1382 /* PC_GAMG_AGG *pc_gamg_agg = (PC_GAMG_AGG*)pc_gamg->subctx; */ 1383 PetscMPIInt rank,size; 1384 Mat Prol22,Tmat,Gmat; 1385 MPI_Comm comm; 1386 PetscCoarsenData *agg_lists; 1387 1388 PetscFunctionBegin; 1389 ierr = PetscObjectGetComm((PetscObject)pc,&comm);CHKERRQ(ierr); 1390 #if defined PETSC_USE_LOG 1391 ierr = PetscLogEventBegin(PC_GAMGKKTProl_AGG,0,0,0,0);CHKERRQ(ierr); 1392 #endif 1393 ierr = MPI_Comm_rank(comm, &rank);CHKERRQ(ierr); 1394 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 1395 1396 /* form C graph */ 1397 ierr = MatMatMult(A21, Prol11, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Tmat);CHKERRQ(ierr); 1398 ierr = MatMatTransposeMult(Tmat, Tmat, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Gmat);CHKERRQ(ierr); 1399 ierr = MatDestroy(&Tmat);CHKERRQ(ierr); 1400 ierr = PCGAMGFilterGraph(&Gmat, 0.0, PETSC_FALSE, verbose);CHKERRQ(ierr); 1401 1402 /* coarsen constraints */ 1403 { 1404 MatCoarsen crs; 1405 ierr = MatCoarsenCreate(comm, &crs);CHKERRQ(ierr); 1406 ierr = MatCoarsenSetType(crs, MATCOARSENMIS);CHKERRQ(ierr); 1407 ierr = MatCoarsenSetAdjacency(crs, Gmat);CHKERRQ(ierr); 1408 ierr = MatCoarsenSetVerbose(crs, verbose);CHKERRQ(ierr); 1409 ierr = MatCoarsenSetStrictAggs(crs, PETSC_TRUE);CHKERRQ(ierr); 1410 ierr = MatCoarsenApply(crs);CHKERRQ(ierr); 1411 ierr = MatCoarsenGetData(crs, &agg_lists);CHKERRQ(ierr); 1412 ierr = MatCoarsenDestroy(&crs);CHKERRQ(ierr); 1413 } 1414 1415 /* form simple prolongation 'Prol22' */ 1416 { 1417 PetscInt ii,mm,clid,my0,nloc,nLocalSelected; 1418 PetscScalar val = 1.0; 1419 /* get 'nLocalSelected' */ 1420 ierr = MatGetLocalSize(Gmat, &nloc, &ii);CHKERRQ(ierr); 1421 for (ii=0, nLocalSelected = 0; ii < nloc; ii++) { 1422 PetscBool ise; 1423 /* filter out singletons 0 or 1? */ 1424 ierr = PetscCDEmptyAt(agg_lists, ii, &ise);CHKERRQ(ierr); 1425 if (!ise) nLocalSelected++; 1426 } 1427 1428 ierr = MatCreate(comm,&Prol22);CHKERRQ(ierr); 1429 ierr = MatSetSizes(Prol22,nloc, nLocalSelected,PETSC_DETERMINE, PETSC_DETERMINE);CHKERRQ(ierr); 1430 ierr = MatSetType(Prol22, MATAIJ);CHKERRQ(ierr); 1431 ierr = MatSeqAIJSetPreallocation(Prol22,1,NULL);CHKERRQ(ierr); 1432 ierr = MatMPIAIJSetPreallocation(Prol22,1,NULL,1,NULL);CHKERRQ(ierr); 1433 /* ierr = MatCreateAIJ(comm, */ 1434 /* nloc, nLocalSelected, */ 1435 /* PETSC_DETERMINE, PETSC_DETERMINE, */ 1436 /* 1, NULL, 1, NULL, */ 1437 /* &Prol22); */ 1438 1439 ierr = MatGetOwnershipRange(Prol22, &my0, &ii);CHKERRQ(ierr); 1440 nloc = ii - my0; 1441 1442 /* make aggregates */ 1443 for (mm = clid = 0; mm < nloc; mm++) { 1444 ierr = PetscCDSizeAt(agg_lists, mm, &ii);CHKERRQ(ierr); 1445 if (ii > 0) { 1446 PetscInt asz=ii,cgid=my0+clid,rids[1000]; 1447 PetscCDPos pos; 1448 if (asz>1000) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Very large aggregate: %d",asz); 1449 ii = 0; 1450 ierr = PetscCDGetHeadPos(agg_lists,mm,&pos);CHKERRQ(ierr); 1451 while (pos) { 1452 PetscInt gid1; 1453 ierr = PetscLLNGetID(pos, &gid1);CHKERRQ(ierr); 1454 ierr = PetscCDGetNextPos(agg_lists,mm,&pos);CHKERRQ(ierr); 1455 1456 rids[ii++] = gid1; 1457 } 1458 if (ii != asz) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"ii %D != asz %D",ii,asz); 1459 /* add diagonal block of P0 */ 1460 ierr = MatSetValues(Prol22,asz,rids,1,&cgid,&val,INSERT_VALUES);CHKERRQ(ierr); 1461 1462 clid++; 1463 } /* coarse agg */ 1464 } /* for all fine nodes */ 1465 ierr = MatAssemblyBegin(Prol22,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1466 ierr = MatAssemblyEnd(Prol22,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1467 } 1468 1469 /* clean up */ 1470 ierr = MatDestroy(&Gmat);CHKERRQ(ierr); 1471 ierr = PetscCDDestroy(agg_lists);CHKERRQ(ierr); 1472 #if defined PETSC_USE_LOG 1473 ierr = PetscLogEventEnd(PC_GAMGKKTProl_AGG,0,0,0,0);CHKERRQ(ierr); 1474 #endif 1475 *a_P22 = Prol22; 1476 PetscFunctionReturn(0); 1477 } 1478 1479 /* -------------------------------------------------------------------------- */ 1480 /* 1481 PCCreateGAMG_AGG 1482 1483 Input Parameter: 1484 . pc - 1485 */ 1486 #undef __FUNCT__ 1487 #define __FUNCT__ "PCCreateGAMG_AGG" 1488 PetscErrorCode PCCreateGAMG_AGG(PC pc) 1489 { 1490 PetscErrorCode ierr; 1491 PC_MG *mg = (PC_MG*)pc->data; 1492 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1493 PC_GAMG_AGG *pc_gamg_agg; 1494 1495 PetscFunctionBegin; 1496 if (pc_gamg->subctx) { 1497 /* call base class */ 1498 ierr = PCDestroy_GAMG(pc);CHKERRQ(ierr); 1499 } 1500 1501 /* create sub context for SA */ 1502 ierr = PetscNewLog(pc, PC_GAMG_AGG, &pc_gamg_agg);CHKERRQ(ierr); 1503 pc_gamg->subctx = pc_gamg_agg; 1504 1505 pc->ops->setfromoptions = PCSetFromOptions_GAMG_AGG; 1506 pc->ops->destroy = PCDestroy_AGG; 1507 /* reset does not do anything; setup not virtual */ 1508 1509 /* set internal function pointers */ 1510 pc_gamg->graph = PCGAMGgraph_AGG; 1511 pc_gamg->coarsen = PCGAMGCoarsen_AGG; 1512 pc_gamg->prolongator = PCGAMGProlongator_AGG; 1513 pc_gamg->optprol = PCGAMGOptprol_AGG; 1514 pc_gamg->formkktprol = PCGAMGKKTProl_AGG; 1515 1516 pc_gamg->createdefaultdata = PCSetData_AGG; 1517 1518 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCSetCoordinates_C","PCSetCoordinates_AGG",PCSetCoordinates_AGG);CHKERRQ(ierr); 1519 PetscFunctionReturn(0); 1520 } 1521