1 /* 2 GAMG geometric-algebric multigrid PC - Mark Adams 2011 3 */ 4 #include "petsc-private/matimpl.h" 5 #include <../src/ksp/pc/impls/gamg/gamg.h> /*I "petscpc.h" I*/ 6 #include <petsc-private/kspimpl.h> 7 8 #if defined PETSC_GAMG_USE_LOG 9 PetscLogEvent petsc_gamg_setup_events[NUM_SET]; 10 #endif 11 12 #if defined PETSC_USE_LOG 13 PetscLogEvent PC_GAMGGgraph_AGG; 14 PetscLogEvent PC_GAMGGgraph_GEO; 15 PetscLogEvent PC_GAMGCoarsen_AGG; 16 PetscLogEvent PC_GAMGCoarsen_GEO; 17 PetscLogEvent PC_GAMGProlongator_AGG; 18 PetscLogEvent PC_GAMGProlongator_GEO; 19 PetscLogEvent PC_GAMGOptprol_AGG; 20 #endif 21 22 #define GAMG_MAXLEVELS 30 23 24 /* #define GAMG_STAGES */ 25 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 26 static PetscLogStage gamg_stages[GAMG_MAXLEVELS]; 27 #endif 28 29 static PetscFList GAMGList = 0; 30 31 /* ----------------------------------------------------------------------------- */ 32 #undef __FUNCT__ 33 #define __FUNCT__ "PCReset_GAMG" 34 PetscErrorCode PCReset_GAMG(PC pc) 35 { 36 PetscErrorCode ierr; 37 PC_MG *mg = (PC_MG*)pc->data; 38 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 39 40 PetscFunctionBegin; 41 if( pc_gamg->data != 0 ) { /* this should not happen, cleaned up in SetUp */ 42 ierr = PetscFree(pc_gamg->data); CHKERRQ(ierr); 43 } 44 pc_gamg->data = 0; pc_gamg->data_sz = 0; 45 PetscFunctionReturn(0); 46 } 47 48 /* -------------------------------------------------------------------------- */ 49 /* 50 createLevel: create coarse op with RAP. repartition and/or reduce number 51 of active processors. 52 53 Input Parameter: 54 . pc - parameters 55 . Amat_fine - matrix on this fine (k) level 56 . cbs - coarse block size 57 . isLast - 58 In/Output Parameter: 59 . a_P_inout - prolongation operator to the next level (k-1) 60 . a_nactive_proc - number of active procs 61 Output Parameter: 62 . a_Amat_crs - coarse matrix that is created (k-1) 63 */ 64 65 #undef __FUNCT__ 66 #define __FUNCT__ "createLevel" 67 static PetscErrorCode createLevel( const PC pc, 68 const Mat Amat_fine, 69 const PetscInt cbs, 70 const PetscBool isLast, 71 Mat *a_P_inout, 72 PetscMPIInt *a_nactive_proc, 73 Mat *a_Amat_crs 74 ) 75 { 76 PC_MG *mg = (PC_MG*)pc->data; 77 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 78 const PetscBool repart = pc_gamg->repart; 79 const PetscInt min_eq_proc = pc_gamg->min_eq_proc, coarse_max = pc_gamg->coarse_eq_limit; 80 PetscErrorCode ierr; 81 Mat Cmat,Pnew,Pold=*a_P_inout; 82 IS new_indices,isnum; 83 MPI_Comm wcomm = ((PetscObject)Amat_fine)->comm; 84 PetscMPIInt mype,npe,new_npe,nactive = *a_nactive_proc; 85 PetscInt neq,NN,Istart,Iend,Istart0,Iend0,ncrs_new,ncrs0,rfactor; 86 87 PetscFunctionBegin; 88 ierr = MPI_Comm_rank( wcomm, &mype ); CHKERRQ(ierr); 89 ierr = MPI_Comm_size( wcomm, &npe ); CHKERRQ(ierr); 90 91 /* RAP */ 92 #ifdef USE_R 93 /* make R wih brute force for now */ 94 ierr = MatTranspose( Pold, Pnew ); 95 ierr = MatDestroy( &Pold ); CHKERRQ(ierr); 96 ierr = MatRARt( Amat_fine, Pnew, MAT_INITIAL_MATRIX, 2.0, &Cmat ); CHKERRQ(ierr); 97 Pold = Pnew; 98 #else 99 ierr = MatPtAP( Amat_fine, Pold, MAT_INITIAL_MATRIX, 2.0, &Cmat ); CHKERRQ(ierr); 100 #endif 101 ierr = MatSetBlockSize( Cmat, cbs ); CHKERRQ(ierr); 102 ierr = MatGetOwnershipRange( Cmat, &Istart0, &Iend0 ); CHKERRQ(ierr); 103 ncrs0 = (Iend0-Istart0)/cbs; assert((Iend0-Istart0)%cbs == 0); 104 105 /* get number of PEs to make active, reduce */ 106 ierr = MatGetSize( Cmat, &neq, &NN ); CHKERRQ(ierr); 107 new_npe = (PetscMPIInt)((float)neq/(float)min_eq_proc + 0.5); /* hardwire min. number of eq/proc */ 108 if( new_npe == 0 || neq < coarse_max ) new_npe = 1; 109 else if (new_npe >= nactive ) new_npe = nactive; /* no change, rare */ 110 if( isLast ) new_npe = 1; 111 112 if( !repart && new_npe==nactive ) { 113 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction */ 114 } 115 else { 116 /* Repartition Cmat_{k} and move colums of P^{k}_{k-1} and coordinates accordingly */ 117 const PetscInt *idx,ndata_rows=pc_gamg->data_cell_rows,ndata_cols=pc_gamg->data_cell_cols,data_sz=ndata_rows*ndata_cols; 118 const PetscInt stride0=ncrs0*pc_gamg->data_cell_rows; 119 PetscInt *counts,is_sz,*newproc_idx,ii,jj,kk,strideNew,*tidx,inpe,targetPE; 120 IS isnewproc; 121 VecScatter vecscat; 122 PetscScalar *array; 123 Vec src_crd, dest_crd; 124 IS isscat; 125 126 ierr = PetscMalloc( npe*sizeof(PetscInt), &counts ); CHKERRQ(ierr); 127 #if defined PETSC_GAMG_USE_LOG 128 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET12],0,0,0,0);CHKERRQ(ierr); 129 #endif 130 if( repart ) { 131 /* create sub communicator */ 132 Mat adj; 133 134 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s repartition: npe (active): %d --> %d, neq = %d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,neq); 135 136 /* MatPartitioningApply call MatConvert, which is collective */ 137 if( cbs == 1 ) { 138 ierr = MatConvert( Cmat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj ); CHKERRQ(ierr); 139 } 140 else{ 141 /* make a scalar matrix to partition */ 142 Mat tMat; 143 PetscInt ncols,jj,Ii; 144 const PetscScalar *vals; 145 const PetscInt *idx; 146 PetscInt *d_nnz, *o_nnz; 147 static PetscInt llev = 0; 148 149 ierr = PetscMalloc( ncrs0*sizeof(PetscInt), &d_nnz ); CHKERRQ(ierr); 150 ierr = PetscMalloc( ncrs0*sizeof(PetscInt), &o_nnz ); CHKERRQ(ierr); 151 for ( Ii = Istart0, jj = 0 ; Ii < Iend0 ; Ii += cbs, jj++ ) { 152 ierr = MatGetRow(Cmat,Ii,&ncols,0,0); CHKERRQ(ierr); 153 d_nnz[jj] = ncols/cbs; 154 o_nnz[jj] = ncols/cbs; 155 ierr = MatRestoreRow(Cmat,Ii,&ncols,0,0); CHKERRQ(ierr); 156 if( d_nnz[jj] > ncrs0 ) d_nnz[jj] = ncrs0; 157 if( o_nnz[jj] > (neq/cbs-ncrs0) ) o_nnz[jj] = neq/cbs-ncrs0; 158 } 159 160 ierr = MatCreateAIJ( wcomm, ncrs0, ncrs0, 161 PETSC_DETERMINE, PETSC_DETERMINE, 162 0, d_nnz, 0, o_nnz, 163 &tMat ); 164 CHKERRQ(ierr); 165 ierr = PetscFree( d_nnz ); CHKERRQ(ierr); 166 ierr = PetscFree( o_nnz ); CHKERRQ(ierr); 167 168 for ( ii = Istart0; ii < Iend0; ii++ ) { 169 PetscInt dest_row = ii/cbs; 170 ierr = MatGetRow(Cmat,ii,&ncols,&idx,&vals); CHKERRQ(ierr); 171 for( jj = 0 ; jj < ncols ; jj++ ){ 172 PetscInt dest_col = idx[jj]/cbs; 173 PetscScalar v = 1.0; 174 ierr = MatSetValues(tMat,1,&dest_row,1,&dest_col,&v,ADD_VALUES); CHKERRQ(ierr); 175 } 176 ierr = MatRestoreRow(Cmat,ii,&ncols,&idx,&vals); CHKERRQ(ierr); 177 } 178 ierr = MatAssemblyBegin(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 179 ierr = MatAssemblyEnd(tMat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 180 181 if( llev++ == -1 ) { 182 PetscViewer viewer; char fname[32]; 183 ierr = PetscSNPrintf(fname,sizeof fname,"part_mat_%D.mat",llev);CHKERRQ(ierr); 184 PetscViewerBinaryOpen(wcomm,fname,FILE_MODE_WRITE,&viewer); 185 ierr = MatView( tMat, viewer ); CHKERRQ(ierr); 186 ierr = PetscViewerDestroy( &viewer ); 187 } 188 189 ierr = MatConvert( tMat, MATMPIADJ, MAT_INITIAL_MATRIX, &adj ); CHKERRQ(ierr); 190 191 ierr = MatDestroy( &tMat ); CHKERRQ(ierr); 192 } 193 194 { /* partition: get newproc_idx, set is_sz */ 195 char prefix[256]; 196 const char *pcpre; 197 const PetscInt *is_idx; 198 MatPartitioning mpart; 199 IS proc_is; 200 201 ierr = MatPartitioningCreate( wcomm, &mpart ); CHKERRQ(ierr); 202 ierr = MatPartitioningSetAdjacency( mpart, adj ); CHKERRQ(ierr); 203 ierr = PCGetOptionsPrefix( pc, &pcpre );CHKERRQ(ierr); 204 ierr = PetscSNPrintf(prefix,sizeof prefix,"%spc_gamg_",pcpre?pcpre:"");CHKERRQ(ierr); 205 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 206 ierr = MatPartitioningSetFromOptions( mpart ); CHKERRQ(ierr); 207 ierr = MatPartitioningSetNParts( mpart, new_npe );CHKERRQ(ierr); 208 ierr = MatPartitioningApply( mpart, &proc_is ); CHKERRQ(ierr); 209 ierr = MatPartitioningDestroy( &mpart ); CHKERRQ(ierr); 210 211 /* collect IS info */ 212 ierr = ISGetLocalSize( proc_is, &is_sz ); CHKERRQ(ierr); 213 ierr = PetscMalloc( cbs*is_sz*sizeof(PetscInt), &newproc_idx ); CHKERRQ(ierr); 214 ierr = ISGetIndices( proc_is, &is_idx ); CHKERRQ(ierr); 215 NN = 1; /* bring to "front" of machine */ 216 /*NN = npe/new_npe;*/ /* spread partitioning across machine */ 217 for( kk = jj = 0 ; kk < is_sz ; kk++ ){ 218 for( ii = 0 ; ii < cbs ; ii++, jj++ ){ 219 newproc_idx[jj] = is_idx[kk] * NN; /* distribution */ 220 } 221 } 222 ierr = ISRestoreIndices( proc_is, &is_idx ); CHKERRQ(ierr); 223 ierr = ISDestroy( &proc_is ); CHKERRQ(ierr); 224 225 is_sz *= cbs; 226 } 227 ierr = MatDestroy( &adj ); CHKERRQ(ierr); 228 229 ierr = ISCreateGeneral( wcomm, is_sz, newproc_idx, PETSC_COPY_VALUES, &isnewproc ); 230 CHKERRQ(ierr); 231 if( newproc_idx != 0 ) { 232 ierr = PetscFree( newproc_idx ); CHKERRQ(ierr); 233 } 234 } 235 else { /* simple aggreagtion of parts */ 236 /* find factor */ 237 if( new_npe == 1 ) rfactor = npe; /* easy */ 238 else { 239 PetscReal best_fact = 0.; 240 jj = -1; 241 for( kk = 1 ; kk <= npe ; kk++ ){ 242 if( npe%kk==0 ) { /* a candidate */ 243 PetscReal nactpe = (PetscReal)npe/(PetscReal)kk, fact = nactpe/(PetscReal)new_npe; 244 if(fact > 1.0) fact = 1./fact; /* keep fact < 1 */ 245 if( fact > best_fact ) { 246 best_fact = fact; jj = kk; 247 } 248 } 249 } 250 if(jj!=-1) rfactor = jj; 251 else rfactor = 1; /* prime? */ 252 } 253 new_npe = npe/rfactor; 254 255 if( new_npe==nactive ) { 256 *a_Amat_crs = Cmat; /* output - no repartitioning or reduction */ 257 ierr = PetscFree( counts ); CHKERRQ(ierr); 258 *a_nactive_proc = new_npe; /* output */ 259 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s aggregate processors noop: new_npe=%d, neq=%d\n",mype,__FUNCT__,new_npe,neq); 260 PetscFunctionReturn(0); 261 } 262 263 /* reduce - isnewproc */ 264 targetPE = mype/rfactor; 265 266 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s aggregate processors: npe: %d --> %d, neq=%d\n",mype,__FUNCT__,*a_nactive_proc,new_npe,neq); 267 is_sz = ncrs0*cbs; 268 ierr = ISCreateStride( wcomm, is_sz, targetPE, 0, &isnewproc ); 269 CHKERRQ(ierr); 270 } 271 272 /* 273 Create an index set from the isnewproc index set to indicate the mapping TO 274 */ 275 ierr = ISPartitioningToNumbering( isnewproc, &isnum ); CHKERRQ(ierr); 276 /* 277 Determine how many elements are assigned to each processor 278 */ 279 inpe = npe; 280 ierr = ISPartitioningCount( isnewproc, inpe, counts ); CHKERRQ(ierr); 281 ierr = ISDestroy( &isnewproc ); CHKERRQ(ierr); 282 ncrs_new = counts[mype]/cbs; 283 strideNew = ncrs_new*ndata_rows; 284 #if defined PETSC_GAMG_USE_LOG 285 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET12],0,0,0,0); CHKERRQ(ierr); 286 #endif 287 /* Create a vector to contain the newly ordered element information */ 288 ierr = VecCreate( wcomm, &dest_crd ); 289 ierr = VecSetSizes( dest_crd, data_sz*ncrs_new, PETSC_DECIDE ); CHKERRQ(ierr); 290 ierr = VecSetFromOptions( dest_crd ); CHKERRQ(ierr); /* this is needed! */ 291 /* 292 There are 'ndata_rows*ndata_cols' data items per node, (one can think of the vectors of having 293 a block size of ...). Note, ISs are expanded into equation space by 'cbs'. 294 */ 295 ierr = PetscMalloc( (ncrs0*data_sz)*sizeof(PetscInt), &tidx ); CHKERRQ(ierr); 296 ierr = ISGetIndices( isnum, &idx ); CHKERRQ(ierr); 297 for(ii=0,jj=0; ii<ncrs0 ; ii++) { 298 PetscInt id = idx[ii*cbs]/cbs; /* get node back */ 299 for( kk=0; kk<data_sz ; kk++, jj++) tidx[jj] = id*data_sz + kk; 300 } 301 ierr = ISRestoreIndices( isnum, &idx ); CHKERRQ(ierr); 302 ierr = ISCreateGeneral( wcomm, data_sz*ncrs0, tidx, PETSC_COPY_VALUES, &isscat ); 303 CHKERRQ(ierr); 304 ierr = PetscFree( tidx ); CHKERRQ(ierr); 305 /* 306 Create a vector to contain the original vertex information for each element 307 */ 308 ierr = VecCreateSeq( PETSC_COMM_SELF, data_sz*ncrs0, &src_crd ); CHKERRQ(ierr); 309 for( jj=0; jj<ndata_cols ; jj++ ) { 310 for( ii=0 ; ii<ncrs0 ; ii++) { 311 for( kk=0; kk<ndata_rows ; kk++ ) { 312 PetscInt ix = ii*ndata_rows + kk + jj*stride0, jx = ii*data_sz + kk*ndata_cols + jj; 313 PetscScalar tt = (PetscScalar)pc_gamg->data[ix]; 314 ierr = VecSetValues( src_crd, 1, &jx, &tt, INSERT_VALUES ); CHKERRQ(ierr); 315 } 316 } 317 } 318 ierr = VecAssemblyBegin(src_crd); CHKERRQ(ierr); 319 ierr = VecAssemblyEnd(src_crd); CHKERRQ(ierr); 320 /* 321 Scatter the element vertex information (still in the original vertex ordering) 322 to the correct processor 323 */ 324 ierr = VecScatterCreate( src_crd, PETSC_NULL, dest_crd, isscat, &vecscat); 325 CHKERRQ(ierr); 326 ierr = ISDestroy( &isscat ); CHKERRQ(ierr); 327 ierr = VecScatterBegin(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 328 ierr = VecScatterEnd(vecscat,src_crd,dest_crd,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 329 ierr = VecScatterDestroy( &vecscat ); CHKERRQ(ierr); 330 ierr = VecDestroy( &src_crd ); CHKERRQ(ierr); 331 /* 332 Put the element vertex data into a new allocation of the gdata->ele 333 */ 334 ierr = PetscFree( pc_gamg->data ); CHKERRQ(ierr); 335 ierr = PetscMalloc( data_sz*ncrs_new*sizeof(PetscReal), &pc_gamg->data ); CHKERRQ(ierr); 336 pc_gamg->data_sz = data_sz*ncrs_new; 337 ierr = VecGetArray( dest_crd, &array ); CHKERRQ(ierr); 338 for( jj=0; jj<ndata_cols ; jj++ ) { 339 for( ii=0 ; ii<ncrs_new ; ii++) { 340 for( kk=0; kk<ndata_rows ; kk++ ) { 341 PetscInt ix = ii*ndata_rows + kk + jj*strideNew, jx = ii*data_sz + kk*ndata_cols + jj; 342 pc_gamg->data[ix] = PetscRealPart(array[jx]); 343 array[jx] = 1.e300; 344 } 345 } 346 } 347 ierr = VecRestoreArray( dest_crd, &array ); CHKERRQ(ierr); 348 ierr = VecDestroy( &dest_crd ); CHKERRQ(ierr); 349 #if defined PETSC_GAMG_USE_LOG 350 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 351 #endif 352 /* 353 Invert for MatGetSubMatrix 354 */ 355 ierr = ISInvertPermutation( isnum, ncrs_new*cbs, &new_indices ); CHKERRQ(ierr); 356 ierr = ISSort( new_indices ); CHKERRQ(ierr); /* is this needed? */ 357 ierr = ISDestroy( &isnum ); CHKERRQ(ierr); 358 #if defined PETSC_GAMG_USE_LOG 359 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET13],0,0,0,0);CHKERRQ(ierr); 360 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 361 #endif 362 /* A_crs output */ 363 ierr = MatGetSubMatrix( Cmat, new_indices, new_indices, MAT_INITIAL_MATRIX, a_Amat_crs ); 364 CHKERRQ(ierr); 365 366 ierr = MatDestroy( &Cmat ); CHKERRQ(ierr); 367 Cmat = *a_Amat_crs; /* output */ 368 ierr = MatSetBlockSize( Cmat, cbs ); CHKERRQ(ierr); 369 #if defined PETSC_GAMG_USE_LOG 370 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET14],0,0,0,0);CHKERRQ(ierr); 371 #endif 372 /* prolongator */ 373 ierr = MatGetOwnershipRange( Pold, &Istart, &Iend ); CHKERRQ(ierr); 374 { 375 IS findices; 376 #if defined PETSC_GAMG_USE_LOG 377 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 378 #endif 379 ierr = ISCreateStride(wcomm,Iend-Istart,Istart,1,&findices); CHKERRQ(ierr); 380 #ifdef USE_R 381 ierr = MatGetSubMatrix( Pold, new_indices, findices, MAT_INITIAL_MATRIX, &Pnew ); 382 #else 383 ierr = MatGetSubMatrix( Pold, findices, new_indices, MAT_INITIAL_MATRIX, &Pnew ); 384 #endif 385 CHKERRQ(ierr); 386 ierr = ISDestroy( &findices ); CHKERRQ(ierr); 387 #if defined PETSC_GAMG_USE_LOG 388 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET15],0,0,0,0);CHKERRQ(ierr); 389 #endif 390 } 391 ierr = MatDestroy( a_P_inout ); CHKERRQ(ierr); 392 *a_P_inout = Pnew; /* output - repartitioned */ 393 ierr = ISDestroy( &new_indices ); CHKERRQ(ierr); 394 ierr = PetscFree( counts ); CHKERRQ(ierr); 395 } 396 397 *a_nactive_proc = new_npe; /* output */ 398 399 if( !PETSC_TRUE ) { 400 PetscViewer viewer; char fname[32]; static int llev=0; Cmat = *a_Amat_crs; 401 if(llev==0) { 402 sprintf(fname,"Cmat_%d.m",llev++); 403 PetscViewerASCIIOpen(wcomm,fname,&viewer); 404 ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); 405 ierr = MatView(Amat_fine, viewer ); CHKERRQ(ierr); 406 ierr = PetscViewerDestroy( &viewer ); 407 } 408 sprintf(fname,"Cmat_%d.m",llev++); 409 PetscViewerASCIIOpen(wcomm,fname,&viewer); 410 ierr = PetscViewerSetFormat( viewer, PETSC_VIEWER_ASCII_MATLAB); CHKERRQ(ierr); 411 ierr = MatView(Cmat, viewer ); CHKERRQ(ierr); 412 ierr = PetscViewerDestroy( &viewer ); 413 } 414 415 PetscFunctionReturn(0); 416 } 417 418 /* -------------------------------------------------------------------------- */ 419 /* 420 PCSetUp_GAMG - Prepares for the use of the GAMG preconditioner 421 by setting data structures and options. 422 423 Input Parameter: 424 . pc - the preconditioner context 425 426 Application Interface Routine: PCSetUp() 427 428 Notes: 429 The interface routine PCSetUp() is not usually called directly by 430 the user, but instead is called by PCApply() if necessary. 431 */ 432 #undef __FUNCT__ 433 #define __FUNCT__ "PCSetUp_GAMG" 434 PetscErrorCode PCSetUp_GAMG( PC pc ) 435 { 436 PetscErrorCode ierr; 437 PC_MG *mg = (PC_MG*)pc->data; 438 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 439 Mat Pmat = pc->pmat; 440 PetscInt fine_level,level,level1,M,N,bs,nloc,lidx,Istart,Iend,nASMBlocksArr[GAMG_MAXLEVELS]; 441 MPI_Comm wcomm = ((PetscObject)pc)->comm; 442 PetscMPIInt mype,npe,nactivepe; 443 Mat Aarr[GAMG_MAXLEVELS], Parr[GAMG_MAXLEVELS]; 444 PetscReal emaxs[GAMG_MAXLEVELS]; 445 IS *ASMLocalIDsArr[GAMG_MAXLEVELS]; 446 PetscLogDouble nnz0=0,nnztot=0; 447 MatInfo info; 448 449 PetscFunctionBegin; 450 ierr = MPI_Comm_rank(wcomm,&mype);CHKERRQ(ierr); 451 ierr = MPI_Comm_size(wcomm,&npe);CHKERRQ(ierr); 452 if( pc_gamg->setup_count++ > 0 ) { 453 PC_MG_Levels **mglevels = mg->levels; 454 /* just do Galerkin grids */ 455 Mat B,dA,dB; 456 assert(pc->setupcalled); 457 458 if( pc_gamg->Nlevels > 1 ) { 459 /* currently only handle case where mat and pmat are the same on coarser levels */ 460 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); 461 /* (re)set to get dirty flag */ 462 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 463 464 for (level=pc_gamg->Nlevels-2; level>-1; level--) { 465 /* the first time through the matrix structure has changed from repartitioning */ 466 if( pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { 467 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 468 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 469 mglevels[level]->A = B; 470 } 471 else { 472 ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); 473 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 474 } 475 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN); CHKERRQ(ierr); 476 dB = B; 477 } 478 } 479 480 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 481 482 /* PCSetUp_MG seems to insists on setting this to GMRES */ 483 ierr = KSPSetType( mglevels[0]->smoothd, KSPPREONLY ); CHKERRQ(ierr); 484 485 PetscFunctionReturn(0); 486 } 487 assert(pc->setupcalled == 0); 488 489 /* GAMG requires input of fine-grid matrix. It determines nlevels. */ 490 ierr = MatGetBlockSize( Pmat, &bs ); CHKERRQ(ierr); 491 ierr = MatGetSize( Pmat, &M, &N );CHKERRQ(ierr); 492 ierr = MatGetOwnershipRange( Pmat, &Istart, &Iend ); CHKERRQ(ierr); 493 nloc = (Iend-Istart)/bs; assert((Iend-Istart)%bs == 0); 494 495 if( pc_gamg->data == 0 && nloc > 0 ) { 496 if(!pc_gamg->createdefaultdata){ 497 SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_LIB,"'createdefaultdata' not set?!?! need to support NULL data!!!"); 498 } 499 ierr = pc_gamg->createdefaultdata( pc ); CHKERRQ(ierr); 500 } 501 502 /* Get A_i and R_i */ 503 if (pc_gamg->verbose) { 504 if(pc_gamg->verbose==1) ierr = MatGetInfo(Pmat,MAT_LOCAL,&info); 505 else ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info); 506 CHKERRQ(ierr); 507 nnz0 = info.nz_used; 508 nnztot = info.nz_used; 509 PetscPrintf(wcomm,"\t[%d]%s level %d N=%d, n data rows=%d, n data cols=%d, nnz/row (ave)=%d, np=%d\n", 510 mype,__FUNCT__,0,N,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 511 (int)(nnz0/(PetscReal)N),npe); 512 } 513 514 for ( level=0, Aarr[0] = Pmat, nactivepe = npe; /* hard wired stopping logic */ 515 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (npe==1 || nactivepe>1); */ 516 level++ ){ 517 level1 = level + 1; 518 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 519 ierr = PetscLogStagePush(gamg_stages[level]); CHKERRQ( ierr ); 520 #endif 521 #if defined PETSC_GAMG_USE_LOG 522 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0); CHKERRQ(ierr); 523 #endif 524 { /* construct prolongator */ 525 Mat Gmat; 526 PetscCoarsenData *agg_lists; 527 PetscInt fine_bs = bs; 528 529 ierr = pc_gamg->graph( pc, Aarr[level], &Gmat ); CHKERRQ(ierr); 530 ierr = pc_gamg->coarsen( pc, &Gmat, &agg_lists ); CHKERRQ(ierr); 531 ierr = pc_gamg->prolongator( pc, Aarr[level], Gmat, agg_lists, &Parr[level1] ); 532 CHKERRQ(ierr); 533 534 if( Parr[level1] ){ 535 /* get new block size of coarse matrices */ 536 if( pc_gamg->col_bs_id != -1 ){ 537 PetscBool flag; 538 ierr = PetscObjectComposedDataGetInt( (PetscObject)Parr[level1], pc_gamg->col_bs_id, bs, flag ); 539 CHKERRQ( ierr ); assert(flag); 540 } 541 } 542 543 if( pc_gamg->optprol && Parr[level1] ){ 544 /* smooth */ 545 ierr = pc_gamg->optprol( pc, Aarr[level], &Parr[level1] ); CHKERRQ(ierr); 546 } 547 548 ierr = MatDestroy( &Gmat ); CHKERRQ(ierr); 549 550 if ( pc_gamg->use_aggs_in_gasm ) { 551 ierr = PetscCDGetASMBlocks(agg_lists, fine_bs, &nASMBlocksArr[level], &ASMLocalIDsArr[level]); CHKERRQ(ierr); 552 } 553 554 ierr = PetscCDDestroy( agg_lists ); CHKERRQ(ierr); 555 } 556 #if defined PETSC_GAMG_USE_LOG 557 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 558 #endif 559 /* cache eigen estimate */ 560 if( pc_gamg->emax_id != -1 ){ 561 PetscBool flag; 562 ierr = PetscObjectComposedDataGetReal( (PetscObject)Aarr[level], pc_gamg->emax_id, emaxs[level], flag ); 563 CHKERRQ( ierr ); 564 if( !flag ) emaxs[level] = -1.; 565 } 566 else emaxs[level] = -1.; 567 if(level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 568 if( !Parr[level1] ) { 569 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",mype,__FUNCT__,level); 570 break; 571 } 572 #if defined PETSC_GAMG_USE_LOG 573 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 574 #endif 575 ierr = createLevel( pc, Aarr[level], bs, 576 (PetscBool)(level==pc_gamg->Nlevels-2), 577 &Parr[level1], &nactivepe, &Aarr[level1] ); 578 CHKERRQ(ierr); 579 #if defined PETSC_GAMG_USE_LOG 580 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 581 #endif 582 ierr = MatGetSize( Aarr[level1], &M, &N );CHKERRQ(ierr); 583 if (pc_gamg->verbose){ 584 PetscInt NN = M; 585 if(pc_gamg->verbose==1) { 586 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info); 587 ierr = MatGetLocalSize( Aarr[level1], &NN, &N );CHKERRQ(ierr); 588 } 589 else ierr = MatGetInfo(Aarr[level1],MAT_GLOBAL_SUM,&info); 590 CHKERRQ(ierr); 591 nnztot += info.nz_used; 592 PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 593 mype,__FUNCT__,(int)level1,N,pc_gamg->data_cell_cols, 594 (int)(info.nz_used/(PetscReal)NN), nactivepe ); 595 CHKERRQ(ierr); 596 } 597 /* stop if one node */ 598 if( M/pc_gamg->data_cell_cols < 2 ) { 599 level++; 600 break; 601 } 602 /* Vec diag; PetscScalar *data_arr,v; PetscInt Istart,Iend,kk,nloceq,id; */ 603 /* v = 1.e-10; /\* LU factor has hard wired numbers for small diags so this needs to match (yuk) *\/ */ 604 /* ierr = MatGetOwnershipRange(Aarr[level1], &Istart, &Iend); CHKERRQ(ierr); */ 605 /* nloceq = Iend-Istart; */ 606 /* ierr = MatGetVecs( Aarr[level1], &diag, 0 ); CHKERRQ(ierr); */ 607 /* ierr = MatGetDiagonal( Aarr[level1], diag ); CHKERRQ(ierr); */ 608 /* ierr = VecGetArray( diag, &data_arr ); CHKERRQ(ierr); */ 609 /* for(kk=0;kk<nloceq;kk++){ */ 610 /* if(data_arr[kk]==0.0) { */ 611 /* id = kk + Istart; */ 612 /* ierr = MatSetValues(Aarr[level1],1,&id,1,&id,&v,INSERT_VALUES); */ 613 /* CHKERRQ(ierr); */ 614 /* PetscPrintf(PETSC_COMM_SELF,"\t[%d]%s warning: added zero to diag (%d) on level %d \n",mype,__FUNCT__,id,level1); */ 615 /* } */ 616 /* } */ 617 /* ierr = VecRestoreArray( diag, &data_arr ); CHKERRQ(ierr); */ 618 /* ierr = VecDestroy( &diag ); CHKERRQ(ierr); */ 619 /* ierr = MatAssemblyBegin(Aarr[level1],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); */ 620 /* ierr = MatAssemblyEnd(Aarr[level1],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); */ 621 622 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 623 ierr = PetscLogStagePop(); CHKERRQ( ierr ); 624 #endif 625 } /* levels */ 626 627 if( pc_gamg->data ) { 628 ierr = PetscFree( pc_gamg->data ); CHKERRQ( ierr ); 629 pc_gamg->data = 0; 630 } 631 632 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 633 pc_gamg->Nlevels = level + 1; 634 fine_level = level; 635 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 636 637 /* simple setup */ 638 if( !PETSC_TRUE ){ 639 PC_MG_Levels **mglevels = mg->levels; 640 for (lidx=0,level=pc_gamg->Nlevels-1; 641 lidx<fine_level; 642 lidx++, level--){ 643 ierr = PCMGSetInterpolation( pc, lidx+1, Parr[level] );CHKERRQ(ierr); 644 ierr = KSPSetOperators( mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN );CHKERRQ(ierr); 645 ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); 646 ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); 647 } 648 ierr = KSPSetOperators( mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 649 650 ierr = PCSetUp_MG( pc ); CHKERRQ( ierr ); 651 } 652 else if( pc_gamg->Nlevels > 1 ) { /* don't setup MG if one level */ 653 /* set default smoothers & set operators */ 654 for ( lidx = 1, level = pc_gamg->Nlevels-2; 655 lidx <= fine_level; 656 lidx++, level--) { 657 KSP smoother; 658 PC subpc; 659 /* set defaults */ 660 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 661 ierr = KSPSetType( smoother, KSPCHEBYCHEV );CHKERRQ(ierr); 662 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 663 664 /* override defaults and command line args (!) */ 665 if ( pc_gamg->use_aggs_in_gasm ) { 666 if( PETSC_FALSE ){ 667 PetscInt ii; 668 PetscPrintf(PETSC_COMM_SELF,"\t[%d]%s Nblocks=%d\n",mype,__FUNCT__,nASMBlocksArr[level]); 669 for(ii=0;ii<nASMBlocksArr[level];ii++){ 670 ISView(ASMLocalIDsArr[level][ii],PETSC_VIEWER_STDOUT_SELF); 671 } 672 } 673 PetscInt sz = nASMBlocksArr[level]; 674 IS *is = ASMLocalIDsArr[level]; 675 ierr = PCSetType( subpc, PCGASM ); CHKERRQ(ierr); 676 if(sz==0){ 677 IS is; 678 PetscInt my0,kk; 679 ierr = MatGetOwnershipRange( Aarr[level], &my0, &kk ); CHKERRQ(ierr); 680 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is ); CHKERRQ(ierr); 681 ierr = PCGASMSetLocalSubdomains( subpc, 1, PETSC_NULL, &is ); CHKERRQ(ierr); 682 } 683 else { 684 ierr = PCGASMSetLocalSubdomains( subpc, sz, PETSC_NULL, is ); CHKERRQ(ierr); 685 ierr = PetscFree( is ); CHKERRQ(ierr); 686 } 687 ierr = PCGASMSetOverlap( subpc, 0 ); CHKERRQ(ierr); 688 689 ASMLocalIDsArr[level] = PETSC_NULL; 690 nASMBlocksArr[level] = 0; 691 ierr = PCGASMSetType( subpc, PC_GASM_BASIC ); CHKERRQ(ierr); 692 } 693 else { 694 ierr = PCSetType( subpc, PCJACOBI ); CHKERRQ(ierr); 695 } 696 ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); 697 /* set ops */ 698 ierr = KSPSetOperators( smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 699 ierr = PCMGSetInterpolation( pc, lidx, Parr[level+1] );CHKERRQ(ierr); 700 } 701 { 702 /* coarse grid */ 703 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 704 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 705 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 706 ierr = KSPSetOperators( smoother, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 707 ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); 708 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 709 ierr = PCSetType( subpc, PCBJACOBI ); CHKERRQ(ierr); 710 ierr = PCSetUp( subpc ); CHKERRQ(ierr); 711 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); 712 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 713 ierr = PCSetType( pc2, PCLU ); CHKERRQ(ierr); 714 } 715 716 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 717 ierr = PetscObjectOptionsBegin( (PetscObject)pc );CHKERRQ(ierr); 718 ierr = PCSetFromOptions_MG( pc ); CHKERRQ(ierr); 719 ierr = PetscOptionsEnd(); CHKERRQ(ierr); 720 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 721 722 /* create cheby smoothers */ 723 for ( lidx = 1, level = pc_gamg->Nlevels-2; 724 lidx <= fine_level; 725 lidx++, level--) { 726 KSP smoother; 727 PetscBool flag; 728 PC subpc; 729 730 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 731 732 /* do my own cheby */ 733 ierr = PetscTypeCompare( (PetscObject)smoother, KSPCHEBYCHEV, &flag ); CHKERRQ(ierr); 734 if( flag ) { 735 PetscReal emax, emin; 736 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 737 ierr = PetscTypeCompare( (PetscObject)subpc, PCJACOBI, &flag ); CHKERRQ(ierr); 738 if( flag && emaxs[level] > 0.0 ) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 739 else{ /* eigen estimate 'emax' */ 740 KSP eksp; Mat Lmat = Aarr[level]; 741 Vec bb, xx; 742 743 ierr = MatGetVecs( Lmat, &bb, 0 ); CHKERRQ(ierr); 744 ierr = MatGetVecs( Lmat, &xx, 0 ); CHKERRQ(ierr); 745 { 746 PetscRandom rctx; 747 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 748 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 749 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 750 ierr = PetscRandomDestroy( &rctx ); CHKERRQ(ierr); 751 } 752 ierr = KSPCreate( wcomm, &eksp );CHKERRQ(ierr); 753 ierr = KSPSetTolerances( eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10 ); 754 CHKERRQ(ierr); 755 ierr = KSPSetNormType( eksp, KSP_NORM_NONE ); CHKERRQ(ierr); 756 757 ierr = KSPAppendOptionsPrefix( eksp, "est_"); CHKERRQ(ierr); 758 ierr = KSPSetFromOptions( eksp ); CHKERRQ(ierr); 759 760 ierr = KSPSetInitialGuessNonzero( eksp, PETSC_FALSE ); CHKERRQ(ierr); 761 ierr = KSPSetOperators( eksp, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ( ierr ); 762 ierr = KSPSetComputeSingularValues( eksp,PETSC_TRUE ); CHKERRQ(ierr); 763 764 /* set PC type to be same as smoother */ 765 ierr = KSPSetPC( eksp, subpc ); CHKERRQ( ierr ); 766 767 /* solve - keep stuff out of logging */ 768 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 769 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 770 ierr = KSPSolve( eksp, bb, xx ); CHKERRQ(ierr); 771 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 772 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 773 774 ierr = KSPComputeExtremeSingularValues( eksp, &emax, &emin ); CHKERRQ(ierr); 775 776 ierr = VecDestroy( &xx ); CHKERRQ(ierr); 777 ierr = VecDestroy( &bb ); CHKERRQ(ierr); 778 779 ierr = KSPDestroy( &eksp ); CHKERRQ(ierr); 780 781 if( pc_gamg->verbose > 0 ) { 782 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d\n",__FUNCT__,emax,emin,level); 783 } 784 } 785 { 786 PetscInt N1, N0, tt; 787 ierr = MatGetSize( Aarr[level], &N1, &tt ); CHKERRQ(ierr); 788 ierr = MatGetSize( Aarr[level+1], &N0, &tt ); CHKERRQ(ierr); 789 /* heuristic - is this crap? */ 790 emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); 791 emax *= 1.05; 792 } 793 ierr = KSPChebychevSetEigenvalues( smoother, emax, emin );CHKERRQ(ierr); 794 } /* setup checby flag */ 795 } /* non-coarse levels */ 796 797 /* clean up */ 798 for(level=1;level<pc_gamg->Nlevels;level++){ 799 ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); 800 ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); 801 } 802 803 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 804 805 { 806 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 807 ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); 808 ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); 809 } 810 } 811 else { 812 KSP smoother; 813 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",mype,__FUNCT__); 814 ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); 815 ierr = KSPSetOperators( smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 816 ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); 817 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 818 } 819 820 PetscFunctionReturn(0); 821 } 822 823 /* ------------------------------------------------------------------------- */ 824 /* 825 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 826 that was created with PCCreate_GAMG(). 827 828 Input Parameter: 829 . pc - the preconditioner context 830 831 Application Interface Routine: PCDestroy() 832 */ 833 #undef __FUNCT__ 834 #define __FUNCT__ "PCDestroy_GAMG" 835 PetscErrorCode PCDestroy_GAMG( PC pc ) 836 { 837 PetscErrorCode ierr; 838 PC_MG *mg = (PC_MG*)pc->data; 839 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 840 841 PetscFunctionBegin; 842 ierr = PCReset_GAMG( pc );CHKERRQ(ierr); 843 ierr = PetscFree( pc_gamg );CHKERRQ(ierr); 844 ierr = PCDestroy_MG( pc );CHKERRQ(ierr); 845 PetscFunctionReturn(0); 846 } 847 848 849 #undef __FUNCT__ 850 #define __FUNCT__ "PCGAMGSetProcEqLim" 851 /*@ 852 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 853 processor reduction. 854 855 Not Collective on PC 856 857 Input Parameters: 858 . pc - the preconditioner context 859 860 861 Options Database Key: 862 . -pc_gamg_process_eq_limit 863 864 Level: intermediate 865 866 Concepts: Unstructured multrigrid preconditioner 867 868 .seealso: () 869 @*/ 870 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 871 { 872 PetscErrorCode ierr; 873 874 PetscFunctionBegin; 875 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 876 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 877 PetscFunctionReturn(0); 878 } 879 880 EXTERN_C_BEGIN 881 #undef __FUNCT__ 882 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 883 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 884 { 885 PC_MG *mg = (PC_MG*)pc->data; 886 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 887 888 PetscFunctionBegin; 889 if(n>0) pc_gamg->min_eq_proc = n; 890 PetscFunctionReturn(0); 891 } 892 EXTERN_C_END 893 894 #undef __FUNCT__ 895 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 896 /*@ 897 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 898 899 Collective on PC 900 901 Input Parameters: 902 . pc - the preconditioner context 903 904 905 Options Database Key: 906 . -pc_gamg_coarse_eq_limit 907 908 Level: intermediate 909 910 Concepts: Unstructured multrigrid preconditioner 911 912 .seealso: () 913 @*/ 914 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 915 { 916 PetscErrorCode ierr; 917 918 PetscFunctionBegin; 919 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 920 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 921 PetscFunctionReturn(0); 922 } 923 924 EXTERN_C_BEGIN 925 #undef __FUNCT__ 926 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 927 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 928 { 929 PC_MG *mg = (PC_MG*)pc->data; 930 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 931 932 PetscFunctionBegin; 933 if(n>0) pc_gamg->coarse_eq_limit = n; 934 PetscFunctionReturn(0); 935 } 936 EXTERN_C_END 937 938 #undef __FUNCT__ 939 #define __FUNCT__ "PCGAMGSetRepartitioning" 940 /*@ 941 PCGAMGSetRepartitioning - Repartition the coarse grids 942 943 Collective on PC 944 945 Input Parameters: 946 . pc - the preconditioner context 947 948 949 Options Database Key: 950 . -pc_gamg_repartition 951 952 Level: intermediate 953 954 Concepts: Unstructured multrigrid preconditioner 955 956 .seealso: () 957 @*/ 958 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 959 { 960 PetscErrorCode ierr; 961 962 PetscFunctionBegin; 963 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 964 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 965 PetscFunctionReturn(0); 966 } 967 968 EXTERN_C_BEGIN 969 #undef __FUNCT__ 970 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 971 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 972 { 973 PC_MG *mg = (PC_MG*)pc->data; 974 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 975 976 PetscFunctionBegin; 977 pc_gamg->repart = n; 978 PetscFunctionReturn(0); 979 } 980 EXTERN_C_END 981 982 #undef __FUNCT__ 983 #define __FUNCT__ "PCGAMGSetUseASMAggs" 984 /*@ 985 PCGAMGSetUseASMAggs - 986 987 Collective on PC 988 989 Input Parameters: 990 . pc - the preconditioner context 991 992 993 Options Database Key: 994 . -pc_gamg_use_agg_gasm 995 996 Level: intermediate 997 998 Concepts: Unstructured multrigrid preconditioner 999 1000 .seealso: () 1001 @*/ 1002 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1003 { 1004 PetscErrorCode ierr; 1005 1006 PetscFunctionBegin; 1007 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1008 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1009 PetscFunctionReturn(0); 1010 } 1011 1012 EXTERN_C_BEGIN 1013 #undef __FUNCT__ 1014 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1015 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1016 { 1017 PC_MG *mg = (PC_MG*)pc->data; 1018 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1019 1020 PetscFunctionBegin; 1021 pc_gamg->use_aggs_in_gasm = n; 1022 PetscFunctionReturn(0); 1023 } 1024 EXTERN_C_END 1025 1026 #undef __FUNCT__ 1027 #define __FUNCT__ "PCGAMGSetNlevels" 1028 /*@ 1029 PCGAMGSetNlevels - 1030 1031 Not collective on PC 1032 1033 Input Parameters: 1034 . pc - the preconditioner context 1035 1036 1037 Options Database Key: 1038 . -pc_mg_levels 1039 1040 Level: intermediate 1041 1042 Concepts: Unstructured multrigrid preconditioner 1043 1044 .seealso: () 1045 @*/ 1046 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1047 { 1048 PetscErrorCode ierr; 1049 1050 PetscFunctionBegin; 1051 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1052 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1053 PetscFunctionReturn(0); 1054 } 1055 1056 EXTERN_C_BEGIN 1057 #undef __FUNCT__ 1058 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1059 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1060 { 1061 PC_MG *mg = (PC_MG*)pc->data; 1062 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1063 1064 PetscFunctionBegin; 1065 pc_gamg->Nlevels = n; 1066 PetscFunctionReturn(0); 1067 } 1068 EXTERN_C_END 1069 1070 #undef __FUNCT__ 1071 #define __FUNCT__ "PCGAMGSetThreshold" 1072 /*@ 1073 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1074 1075 Not collective on PC 1076 1077 Input Parameters: 1078 . pc - the preconditioner context 1079 1080 1081 Options Database Key: 1082 . -pc_gamg_threshold 1083 1084 Level: intermediate 1085 1086 Concepts: Unstructured multrigrid preconditioner 1087 1088 .seealso: () 1089 @*/ 1090 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1091 { 1092 PetscErrorCode ierr; 1093 1094 PetscFunctionBegin; 1095 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1096 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1097 PetscFunctionReturn(0); 1098 } 1099 1100 EXTERN_C_BEGIN 1101 #undef __FUNCT__ 1102 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1103 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1104 { 1105 PC_MG *mg = (PC_MG*)pc->data; 1106 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1107 1108 PetscFunctionBegin; 1109 pc_gamg->threshold = n; 1110 PetscFunctionReturn(0); 1111 } 1112 EXTERN_C_END 1113 1114 #undef __FUNCT__ 1115 #define __FUNCT__ "PCGAMGSetType" 1116 /*@ 1117 PCGAMGSetType - Set solution method - calls sub create method 1118 1119 Collective on PC 1120 1121 Input Parameters: 1122 . pc - the preconditioner context 1123 1124 1125 Options Database Key: 1126 . -pc_gamg_type 1127 1128 Level: intermediate 1129 1130 Concepts: Unstructured multrigrid preconditioner 1131 1132 .seealso: () 1133 @*/ 1134 PetscErrorCode PCGAMGSetType( PC pc, const PCGAMGType type ) 1135 { 1136 PetscErrorCode ierr; 1137 1138 PetscFunctionBegin; 1139 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1140 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,const PCGAMGType),(pc,type)); 1141 CHKERRQ(ierr); 1142 PetscFunctionReturn(0); 1143 } 1144 1145 EXTERN_C_BEGIN 1146 #undef __FUNCT__ 1147 #define __FUNCT__ "PCGAMGSetType_GAMG" 1148 PetscErrorCode PCGAMGSetType_GAMG( PC pc, const PCGAMGType type ) 1149 { 1150 PetscErrorCode ierr,(*r)(PC); 1151 1152 PetscFunctionBegin; 1153 ierr = PetscFListFind(GAMGList,((PetscObject)pc)->comm,type,PETSC_FALSE,(PetscVoidStarFunction)&r); 1154 CHKERRQ(ierr); 1155 1156 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1157 1158 /* call sub create method */ 1159 ierr = (*r)(pc); CHKERRQ(ierr); 1160 1161 PetscFunctionReturn(0); 1162 } 1163 EXTERN_C_END 1164 1165 #undef __FUNCT__ 1166 #define __FUNCT__ "PCSetFromOptions_GAMG" 1167 PetscErrorCode PCSetFromOptions_GAMG( PC pc ) 1168 { 1169 PetscErrorCode ierr; 1170 PC_MG *mg = (PC_MG*)pc->data; 1171 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1172 PetscBool flag; 1173 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1174 1175 PetscFunctionBegin; 1176 ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); 1177 { 1178 /* -pc_gamg_verbose */ 1179 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1180 "none", pc_gamg->verbose, 1181 &pc_gamg->verbose, PETSC_NULL ); 1182 CHKERRQ(ierr); 1183 1184 /* -pc_gamg_repartition */ 1185 ierr = PetscOptionsBool("-pc_gamg_repartition", 1186 "Repartion coarse grids (false)", 1187 "PCGAMGRepartitioning", 1188 pc_gamg->repart, 1189 &pc_gamg->repart, 1190 &flag); 1191 CHKERRQ(ierr); 1192 1193 /* -pc_gamg_use_agg_gasm */ 1194 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1195 "Use aggregation agragates for GASM smoother (false)", 1196 "PCGAMGUseASMAggs", 1197 pc_gamg->use_aggs_in_gasm, 1198 &pc_gamg->use_aggs_in_gasm, 1199 &flag); 1200 CHKERRQ(ierr); 1201 1202 /* -pc_gamg_process_eq_limit */ 1203 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1204 "Limit (goal) on number of equations per process on coarse grids", 1205 "PCGAMGSetProcEqLim", 1206 pc_gamg->min_eq_proc, 1207 &pc_gamg->min_eq_proc, 1208 &flag ); 1209 CHKERRQ(ierr); 1210 1211 /* -pc_gamg_coarse_eq_limit */ 1212 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1213 "Limit on number of equations for the coarse grid", 1214 "PCGAMGSetCoarseEqLim", 1215 pc_gamg->coarse_eq_limit, 1216 &pc_gamg->coarse_eq_limit, 1217 &flag ); 1218 CHKERRQ(ierr); 1219 1220 /* -pc_gamg_threshold */ 1221 ierr = PetscOptionsReal("-pc_gamg_threshold", 1222 "Relative threshold to use for dropping edges in aggregation graph", 1223 "PCGAMGSetThreshold", 1224 pc_gamg->threshold, 1225 &pc_gamg->threshold, 1226 &flag ); 1227 CHKERRQ(ierr); 1228 if(flag && pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold); 1229 1230 ierr = PetscOptionsInt("-pc_mg_levels", 1231 "Set number of MG levels", 1232 "PCGAMGSetNlevels", 1233 pc_gamg->Nlevels, 1234 &pc_gamg->Nlevels, 1235 &flag ); 1236 } 1237 ierr = PetscOptionsTail();CHKERRQ(ierr); 1238 1239 PetscFunctionReturn(0); 1240 } 1241 1242 /* -------------------------------------------------------------------------- */ 1243 /*MC 1244 PCCreate_GAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1245 - This is the entry point to GAMG, registered in pcregis.c 1246 1247 Options Database Keys: 1248 Multigrid options(inherited) 1249 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1250 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1251 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1252 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full cascade kascade 1253 1254 Level: intermediate 1255 1256 Concepts: multigrid 1257 1258 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1259 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1260 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1261 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1262 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1263 M*/ 1264 EXTERN_C_BEGIN 1265 #undef __FUNCT__ 1266 #define __FUNCT__ "PCCreate_GAMG" 1267 PetscErrorCode PCCreate_GAMG( PC pc ) 1268 { 1269 PetscErrorCode ierr; 1270 PC_GAMG *pc_gamg; 1271 PC_MG *mg; 1272 1273 #if defined PETSC_GAMG_USE_LOG 1274 static long count = 0; 1275 #endif 1276 1277 PetscFunctionBegin; 1278 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1279 ierr = PCSetType( pc, PCMG ); CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1280 ierr = PetscObjectChangeTypeName( (PetscObject)pc, PCGAMG ); CHKERRQ(ierr); 1281 1282 /* create a supporting struct and attach it to pc */ 1283 ierr = PetscNewLog( pc, PC_GAMG, &pc_gamg ); CHKERRQ(ierr); 1284 mg = (PC_MG*)pc->data; 1285 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1286 mg->innerctx = pc_gamg; 1287 1288 pc_gamg->setup_count = 0; 1289 /* these should be in subctx but repartitioning needs simple arrays */ 1290 pc_gamg->data_sz = 0; 1291 pc_gamg->data = 0; 1292 1293 /* register AMG type */ 1294 if( !GAMGList ){ 1295 ierr = PetscFListAdd(&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1296 ierr = PetscFListAdd(&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1297 } 1298 1299 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1300 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1301 pc->ops->setup = PCSetUp_GAMG; 1302 pc->ops->reset = PCReset_GAMG; 1303 pc->ops->destroy = PCDestroy_GAMG; 1304 1305 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1306 "PCGAMGSetProcEqLim_C", 1307 "PCGAMGSetProcEqLim_GAMG", 1308 PCGAMGSetProcEqLim_GAMG); 1309 CHKERRQ(ierr); 1310 1311 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1312 "PCGAMGSetCoarseEqLim_C", 1313 "PCGAMGSetCoarseEqLim_GAMG", 1314 PCGAMGSetCoarseEqLim_GAMG); 1315 CHKERRQ(ierr); 1316 1317 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1318 "PCGAMGSetRepartitioning_C", 1319 "PCGAMGSetRepartitioning_GAMG", 1320 PCGAMGSetRepartitioning_GAMG); 1321 CHKERRQ(ierr); 1322 1323 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1324 "PCGAMGSetUseASMAggs_C", 1325 "PCGAMGSetUseASMAggs_GAMG", 1326 PCGAMGSetUseASMAggs_GAMG); 1327 CHKERRQ(ierr); 1328 1329 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1330 "PCGAMGSetThreshold_C", 1331 "PCGAMGSetThreshold_GAMG", 1332 PCGAMGSetThreshold_GAMG); 1333 CHKERRQ(ierr); 1334 1335 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1336 "PCGAMGSetType_C", 1337 "PCGAMGSetType_GAMG", 1338 PCGAMGSetType_GAMG); 1339 CHKERRQ(ierr); 1340 1341 pc_gamg->repart = PETSC_FALSE; 1342 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1343 pc_gamg->min_eq_proc = 100; 1344 pc_gamg->coarse_eq_limit = 800; 1345 pc_gamg->threshold = 0.05; 1346 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1347 pc_gamg->verbose = 0; 1348 pc_gamg->emax_id = -1; 1349 pc_gamg->col_bs_id = -1; 1350 1351 /* instantiate derived type */ 1352 ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); 1353 { 1354 char tname[256] = GAMGAGG; 1355 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType", 1356 GAMGList, tname, tname, sizeof(tname), PETSC_NULL ); 1357 CHKERRQ(ierr); 1358 ierr = PCGAMGSetType( pc, tname ); CHKERRQ(ierr); 1359 } 1360 ierr = PetscOptionsTail();CHKERRQ(ierr); 1361 1362 /* private events */ 1363 #if defined PETSC_GAMG_USE_LOG 1364 if( count++ == 0 ) { 1365 PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]); 1366 PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]); 1367 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1368 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1369 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1370 PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]); 1371 PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]); 1372 PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]); 1373 PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]); 1374 PetscLogEventRegister(" SA: colect data", PC_CLASSID, &petsc_gamg_setup_events[SET7]); 1375 PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]); 1376 PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]); 1377 PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]); 1378 PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]); 1379 PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]); 1380 PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]); 1381 PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]); 1382 1383 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1384 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1385 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1386 /* create timer stages */ 1387 #if defined GAMG_STAGES 1388 { 1389 char str[32]; 1390 sprintf(str,"MG Level %d (finest)",0); 1391 PetscLogStageRegister(str, &gamg_stages[0]); 1392 PetscInt lidx; 1393 for (lidx=1;lidx<9;lidx++){ 1394 sprintf(str,"MG Level %d",lidx); 1395 PetscLogStageRegister(str, &gamg_stages[lidx]); 1396 } 1397 } 1398 #endif 1399 } 1400 #endif 1401 /* general events */ 1402 #if defined PETSC_USE_LOG 1403 PetscLogEventRegister("PCGAMGgraph_AGG", PC_CLASSID, &PC_GAMGGgraph_AGG); 1404 PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO); 1405 PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG); 1406 PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO); 1407 PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG); 1408 PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO); 1409 PetscLogEventRegister("PCGAMGProlOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG); 1410 #endif 1411 1412 PetscFunctionReturn(0); 1413 } 1414 EXTERN_C_END 1415